From cc2e10af81618d802c1acd305615496d783b9660 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Mon, 20 Nov 2023 17:38:35 +0100 Subject: [PATCH 01/91] Initial commit --- baselines/flanders/EXTENDED_README.md | 123 ++++++ baselines/flanders/LICENSE | 202 ++++++++++ baselines/flanders/README.md | 87 +++++ baselines/flanders/flanders/__init__.py | 1 + baselines/flanders/flanders/attacks.py | 241 ++++++++++++ baselines/flanders/flanders/client.py | 279 ++++++++++++++ baselines/flanders/flanders/conf/base.yaml | 17 + baselines/flanders/flanders/dataset.py | 10 + .../flanders/flanders/dataset_preparation.py | 358 ++++++++++++++++++ baselines/flanders/flanders/main.py | 161 ++++++++ baselines/flanders/flanders/models.py | 207 ++++++++++ .../2023-11-18/11-37-55/.hydra/config.yaml | 5 + .../2023-11-18/11-37-55/.hydra/hydra.yaml | 154 ++++++++ .../2023-11-18/11-37-55/.hydra/overrides.yaml | 1 + .../2023-11-18/11-38-22/.hydra/config.yaml | 5 + .../2023-11-18/11-38-22/.hydra/hydra.yaml | 154 ++++++++ .../2023-11-18/11-38-22/.hydra/overrides.yaml | 1 + .../2023-11-18/11-38-40/.hydra/config.yaml | 5 + .../2023-11-18/11-38-40/.hydra/hydra.yaml | 154 ++++++++ .../2023-11-18/11-38-40/.hydra/overrides.yaml | 1 + .../2023-11-18/11-38-48/.hydra/config.yaml | 5 + .../2023-11-18/11-38-48/.hydra/hydra.yaml | 154 ++++++++ .../2023-11-18/11-38-48/.hydra/overrides.yaml | 1 + baselines/flanders/flanders/server.py | 170 +++++++++ baselines/flanders/flanders/strategy.py | 208 ++++++++++ baselines/flanders/flanders/utils.py | 134 +++++++ baselines/flanders/pyproject.toml | 137 +++++++ 27 files changed, 2975 insertions(+) create mode 100644 baselines/flanders/EXTENDED_README.md create mode 100644 baselines/flanders/LICENSE create mode 100644 baselines/flanders/README.md create mode 100644 baselines/flanders/flanders/__init__.py create mode 100644 baselines/flanders/flanders/attacks.py create mode 100644 baselines/flanders/flanders/client.py create mode 100644 baselines/flanders/flanders/conf/base.yaml create mode 100644 baselines/flanders/flanders/dataset.py create mode 100644 baselines/flanders/flanders/dataset_preparation.py create mode 100644 baselines/flanders/flanders/main.py create mode 100644 baselines/flanders/flanders/models.py create mode 100644 baselines/flanders/flanders/outputs/2023-11-18/11-37-55/.hydra/config.yaml create mode 100644 baselines/flanders/flanders/outputs/2023-11-18/11-37-55/.hydra/hydra.yaml create mode 100644 baselines/flanders/flanders/outputs/2023-11-18/11-37-55/.hydra/overrides.yaml create mode 100644 baselines/flanders/flanders/outputs/2023-11-18/11-38-22/.hydra/config.yaml create mode 100644 baselines/flanders/flanders/outputs/2023-11-18/11-38-22/.hydra/hydra.yaml create mode 100644 baselines/flanders/flanders/outputs/2023-11-18/11-38-22/.hydra/overrides.yaml create mode 100644 baselines/flanders/flanders/outputs/2023-11-18/11-38-40/.hydra/config.yaml create mode 100644 baselines/flanders/flanders/outputs/2023-11-18/11-38-40/.hydra/hydra.yaml create mode 100644 baselines/flanders/flanders/outputs/2023-11-18/11-38-40/.hydra/overrides.yaml create mode 100644 baselines/flanders/flanders/outputs/2023-11-18/11-38-48/.hydra/config.yaml create mode 100644 baselines/flanders/flanders/outputs/2023-11-18/11-38-48/.hydra/hydra.yaml create mode 100644 baselines/flanders/flanders/outputs/2023-11-18/11-38-48/.hydra/overrides.yaml create mode 100644 baselines/flanders/flanders/server.py create mode 100644 baselines/flanders/flanders/strategy.py create mode 100644 baselines/flanders/flanders/utils.py create mode 100644 baselines/flanders/pyproject.toml diff --git a/baselines/flanders/EXTENDED_README.md b/baselines/flanders/EXTENDED_README.md new file mode 100644 index 000000000000..9c8f5bc72fa9 --- /dev/null +++ b/baselines/flanders/EXTENDED_README.md @@ -0,0 +1,123 @@ + +# Extended Readme + +> The baselines are expected to run in a machine running Ubuntu 22.04 + +While `README.md` should include information about the baseline you implement and how to run it, this _extended_ readme provides info on what's the expected directory structure for a new baseline and more generally the instructions to follow before your baseline can be merged into the Flower repository. Please follow closely these instructions. It is likely that you have already completed steps 1-2. + +1. Fork the Flower repository and clone it. +2. Navigate to the `baselines/` directory and from there run: + ```bash + # This will create a new directory with the same structure as this `baseline_template` directory. + ./dev/create-baseline.sh + ``` +3. All your code and configs should go into a sub-directory with the same name as the name of your baseline. + * The sub-directory contains a series of Python scripts that you can edit. Please stick to these files and consult with us if you need additional ones. + * There is also a basic config structure in `/conf` ready be parsed by [Hydra](https://hydra.cc/) when executing your `main.py`. +4. Therefore, the directory structure in your baseline should look like: + ```bash + baselines/ + ├── README.md # describes your baseline and everything needed to use it + ├── EXTENDED_README.md # to remove before creating your PR + ├── pyproject.toml # details your Python environment + └── + ├── *.py # several .py files including main.py and __init__.py + └── conf + └── *.yaml # one or more Hydra config files + + ``` +> :warning: Make sure the variable `name` in `pyproject.toml` is set to the name of the sub-directory containing all your code. + +5. Add your dependencies to the `pyproject.toml` (see below a few examples on how to do it). Read more about Poetry below in this `EXTENDED_README.md`. +6. Regularly check that your coding style and the documentation you add follow good coding practices. To test whether your code meets the requirements, please run the following: + ```bash + # After activating your environment and from your baseline's directory + cd .. # to go to the top-level directory of all baselines + ./dev/test-baseline.sh + ./dev/test-baseline-structure.sh + ``` + Both `test-baseline.sh` and `test-baseline-structure.sh` will also be automatically run when you create a PR, and both tests need to pass for the baseline to be merged. + To automatically solve some formatting issues and apply easy fixes, please run the formatting script: + ```bash + # After activating your environment and from your baseline's directory + cd .. # to go to the top-level directory of all baselines + ./dev/format-baseline.sh + ``` +7. Ensure that the Python environment for your baseline can be created without errors by simply running `poetry install` and that this is properly described later when you complete the `Environment Setup` section in `README.md`. This is specially important if your environment requires additional steps after doing `poetry install`. +8. Ensure that your baseline runs with default arguments by running `poetry run python -m .main`. Then, describe this and other forms of running your code in the `Running the Experiments` section in `README.md`. +9. Once your code is ready and you have checked: + * that following the instructions in your `README.md` the Python environment can be created correctly + + * that running the code following your instructions can reproduce the experiments in the paper + + , then you just need to create a Pull Request (PR) to kickstart the process of merging your baseline into the Flower repository. + +> Once you are happy to merge your baseline contribution, please delete this `EXTENDED_README.md` file. + + +## About Poetry + +We use Poetry to manage the Python environment for each individual baseline. You can follow the instructions [here](https://python-poetry.org/docs/) to install Poetry in your machine. + + +### Specifying a Python Version (optional) +By default, Poetry will use the Python version in your system. In some settings, you might want to specify a particular version of Python to use inside your Poetry environment. You can do so with [`pyenv`](https://github.com/pyenv/pyenv). Check the documentation for the different ways of installing `pyenv`, but one easy way is using the [automatic installer](https://github.com/pyenv/pyenv-installer): +```bash +curl https://pyenv.run | bash # then, don't forget links to your .bashrc/.zshrc +``` + +You can then install any Python version with `pyenv install ` (e.g. `pyenv install 3.9.17`). Then, in order to use that version for your baseline, you'd do the following: + +```bash +# cd to your baseline directory (i.e. where the `pyproject.toml` is) +pyenv local + +# set that version for poetry +poetry env use + +# then you can install your Poetry environment (see the next setp) +``` + +### Installing Your Environment +With the Poetry tool already installed, you can create an environment for this baseline with commands: +```bash +# run this from the same directory as the `pyproject.toml` file is +poetry install +``` + +This will create a basic Python environment with just Flower and additional packages, including those needed for simulation. Next, you should add the dependencies for your code. It is **critical** that you fix the version of the packages you use using a `=` not a `=^`. You can do so via [`poetry add`](https://python-poetry.org/docs/cli/#add). Below are some examples: + +```bash +# For instance, if you want to install tqdm +poetry add tqdm==4.65.0 + +# If you already have a requirements.txt, you can add all those packages (but ensure you have fixed the version) in one go as follows: +poetry add $( cat requirements.txt ) +``` +With each `poetry add` command, the `pyproject.toml` gets automatically updated so you don't need to keep that `requirements.txt` as part of this baseline. + + +More critically however, is adding your ML framework of choice to the list of dependencies. For some frameworks you might be able to do so with the `poetry add` command. Check [the Poetry documentation](https://python-poetry.org/docs/cli/#add) for how to add packages in various ways. For instance, let's say you want to use PyTorch: + +```bash +# with plain `pip` you'd run a command such as: +pip install torch==1.13.1+cu117 torchvision==0.14.1+cu117 torchaudio==0.13.1 --extra-index-url https://download.pytorch.org/whl/cu117 + +# to add the same 3 dependencies to your Poetry environment you'd need to add the URL to the wheel that the above pip command auto-resolves for you. +# You can find those wheels in `https://download.pytorch.org/whl/cu117`. Copy the link and paste it after the `poetry add` command. +# For instance to add `torch==1.13.1+cu117` and a x86 Linux system with Python3.8 you'd: +poetry add https://download.pytorch.org/whl/cu117/torch-1.13.1%2Bcu117-cp38-cp38-linux_x86_64.whl +# you'll need to repeat this for both `torchvision` and `torchaudio` +``` +The above is just an example of how you can add these dependencies. Please refer to the Poetry documentation to extra reference. + +If all attempts fail, you can still install packages via standard `pip`. You'd first need to source/activate your Poetry environment. +```bash +# first ensure you have created your environment +# and installed the base packages provided in the template +poetry install + +# then activate it +poetry shell +``` +Now you are inside your environment (pretty much as when you use `virtualenv` or `conda`) so you can install further packages with `pip`. Please note that, unlike with `poetry add`, these extra requirements won't be captured by `pyproject.toml`. Therefore, please ensure that you provide all instructions needed to: (1) create the base environment with Poetry and (2) install any additional dependencies via `pip` when you complete your `README.md`. \ No newline at end of file diff --git a/baselines/flanders/LICENSE b/baselines/flanders/LICENSE new file mode 100644 index 000000000000..d64569567334 --- /dev/null +++ b/baselines/flanders/LICENSE @@ -0,0 +1,202 @@ + + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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Please follow the instructions in `EXTENDED_README.md` + +> :warning: Please follow the instructions carefully. You can see the [FedProx-MNIST baseline](https://github.com/adap/flower/tree/main/baselines/fedprox) as an example of a baseline that followed this guide. + +> :warning: Please complete the metadata section at the very top of this README. This generates a table at the top of the file that will facilitate indexing baselines. + +****Paper:**** :warning: *_add the URL of the paper page (not to the .pdf). For instance if you link a paper on ArXiv, add here the URL to the abstract page (e.g. https://arxiv.org/abs/1512.03385). If your paper is in from a journal or conference proceedings, please follow the same logic._* + +****Authors:**** :warning: *_list authors of the paper_* + +****Abstract:**** :warning: *_add here the abstract of the paper you are implementing_* + + +## About this baseline + +****What’s implemented:**** :warning: *_Concisely describe what experiment(s) in the publication can be replicated by running the code. Please only use a few sentences. Start with: “The code in this directory …”_* + +****Datasets:**** :warning: *_List the datasets you used (if you used a medium to large dataset, >10GB please also include the sizes of the dataset)._* + +****Hardware Setup:**** :warning: *_Give some details about the hardware (e.g. a server with 8x V100 32GB and 256GB of RAM) you used to run the experiments for this baseline. Someone out there might not have access to the same resources you have so, could list the absolute minimum hardware needed to run the experiment in a reasonable amount of time ? (e.g. minimum is 1x 16GB GPU otherwise a client model can’t be trained with a sufficiently large batch size). Could you test this works too?_* + +****Contributors:**** :warning: *_let the world know who contributed to this baseline. This could be either your name, your name and affiliation at the time, or your GitHub profile name if you prefer. If multiple contributors signed up for this baseline, please list yourself and your colleagues_* + + +## Experimental Setup + +****Task:**** :warning: *_what’s the primary task that is being federated? (e.g. image classification, next-word prediction). If you have experiments for several, please list them_* + +****Model:**** :warning: *_provide details about the model you used in your experiments (if more than use a list). If your model is small, describing it as a table would be :100:. Some FL methods do not use an off-the-shelve model (e.g. ResNet18) instead they create your own. If this is your case, please provide a summary here and give pointers to where in the paper (e.g. Appendix B.4) is detailed._* + +****Dataset:**** :warning: *_Earlier you listed already the datasets that your baseline uses. Now you should include a breakdown of the details about each of them. Please include information about: how the dataset is partitioned (e.g. LDA with alpha 0.1 as default and all clients have the same number of training examples; or each client gets assigned a different number of samples following a power-law distribution with each client only instances of 2 classes)? if your dataset is naturally partitioned just state “naturally partitioned”; how many partitions there are (i.e. how many clients)? Please include this an all information relevant about the dataset and its partitioning into a table._* + +****Training Hyperparameters:**** :warning: *_Include a table with all the main hyperparameters in your baseline. Please show them with their default value._* + + +## Environment Setup + +:warning: _The Python environment for all baselines should follow these guidelines in the `EXTENDED_README`. Specify the steps to create and activate your environment. If there are any external system-wide requirements, please include instructions for them too. These instructions should be comprehensive enough so anyone can run them (if non standard, describe them step-by-step)._ + + +## Running the Experiments + +:warning: _Provide instructions on the steps to follow to run all the experiments._ +```bash +# The main experiment implemented in your baseline using default hyperparameters (that should be setup in the Hydra configs) should run (including dataset download and necessary partitioning) by executing the command: + +poetry run python -m .main # where is the name of this directory and that of the only sub-directory in this directory (i.e. where all your source code is) + +# If you are using a dataset that requires a complicated download (i.e. not using one natively supported by TF/PyTorch) + preprocessing logic, you might want to tell people to run one script first that will do all that. Please ensure the download + preprocessing can be configured to suit (at least!) a different download directory (and use as default the current directory). The expected command to run to do this is: + +poetry run python -m .dataset_preparation + +# It is expected that you baseline supports more than one dataset and different FL settings (e.g. different number of clients, dataset partitioning methods, etc). Please provide a list of commands showing how these experiments are run. Include also a short explanation of what each one does. Here it is expected you'll be using the Hydra syntax to override the default config. + +poetry run python -m .main +. +. +. +poetry run python -m .main +``` + + +## Expected Results + +:warning: _Your baseline implementation should replicate several of the experiments in the original paper. Please include here the exact command(s) needed to run each of those experiments followed by a figure (e.g. a line plot) or table showing the results you obtained when you ran the code. Below is an example of how you can present this. Please add command followed by results for all your experiments._ + +```bash +# it is likely that for one experiment you need to sweep over different hyperparameters. You are encouraged to use Hydra's multirun functionality for this. This is an example of how you could achieve this for some typical FL hyperparameteres + +poetry run python -m .main --multirun num_client_per_round=5,10,50 dataset=femnist,cifar10 +# the above command will run a total of 6 individual experiments (because 3client_configs x 2datasets = 6 -- you can think of it as a grid). + +[Now show a figure/table displaying the results of the above command] + +# add more commands + plots for additional experiments. +``` diff --git a/baselines/flanders/flanders/__init__.py b/baselines/flanders/flanders/__init__.py new file mode 100644 index 000000000000..a5e567b59135 --- /dev/null +++ b/baselines/flanders/flanders/__init__.py @@ -0,0 +1 @@ +"""Template baseline package.""" diff --git a/baselines/flanders/flanders/attacks.py b/baselines/flanders/flanders/attacks.py new file mode 100644 index 000000000000..19492a8c3828 --- /dev/null +++ b/baselines/flanders/flanders/attacks.py @@ -0,0 +1,241 @@ +import math +import numpy as np +import matplotlib.pyplot as plt +from typing import Dict, List, Tuple +from flwr.common import ( + ndarrays_to_parameters, + parameters_to_ndarrays, + FitRes, + NDArrays, + Parameters, +) +from flwr.server.client_proxy import ClientProxy +from scipy.stats import norm + +from utilities import flatten_params +from strategy.krum import krum, _compute_distances + +def no_attack( + ordered_results:List[Tuple[ClientProxy, FitRes]], + states:Dict[str, bool], + **kwargs + ) -> List[Tuple[ClientProxy, FitRes]]: + return ordered_results, {} + +def gaussian_attack( + ordered_results:List[Tuple[ClientProxy, FitRes]], + states:Dict[str, bool], + **kwargs + ) -> List[Tuple[ClientProxy, FitRes]]: + magnitude = kwargs.get("magnitude", 0.0) + dataset_name = kwargs.get("dataset_name", "no name") + results = ordered_results.copy() + perturbate = lambda a: a + np.random.normal(loc=0, scale=magnitude, size=len(a)) + + for proxy, fitres in ordered_results: + if states[fitres.metrics["cid"]]: + params = parameters_to_ndarrays(fitres.parameters) + if dataset_name == "income": + new_params = [perturbate(layer) for layer in params] + else: + new_params = np.apply_along_axis(perturbate, 0, params) + fitres.parameters = ndarrays_to_parameters(new_params) + results[int(fitres.metrics['cid'])] = (proxy, fitres) + return results, {} + +def lie_attack( + ordered_results:List[Tuple[ClientProxy, FitRes]], + states:Dict[str, bool], + **kwargs + ) -> List[Tuple[ClientProxy, FitRes]]: + """ + Implementation of Omniscent LIE attack, Baruch et al. (2019) + """ + results = ordered_results.copy() + params = [parameters_to_ndarrays(fitres.parameters) for _, fitres in results] + grads_mean = [np.mean(layer, axis=0) for layer in zip(*params)] + grads_stdev = [np.std(layer, axis=0) ** 0.5 for layer in zip(*params)] + + n = len(ordered_results) # number of clients + m = sum(val == True for val in states.values()) # number of corrupted clients + s = math.floor((n / 2) + 1) - m # number of supporters + if s < 0: + s = 1 + z_max = norm.ppf((n - m - s) / (n - m)) + for proxy, fitres in ordered_results: + if states[fitres.metrics["cid"]]: + mul_std = [layer * z_max for layer in grads_stdev] + new_params = [grads_mean[i] - mul_std[i] for i in range(len(grads_mean))] + fitres.parameters = ndarrays_to_parameters(new_params) + results[int(fitres.metrics['cid'])] = (proxy, fitres) + return results, {} + +def fang_attack( + ordered_results:List[Tuple[ClientProxy, FitRes]], + states:Dict[str, bool], + **kwargs + ) -> List[Tuple[ClientProxy, FitRes]]: + """ + Implemetation of Local Model Poisoning Attacks to Byzantine-Robust Federated Learning, Fang et al. (2020) + Specifically designed for Krum, but they claim it works for other aggregation functions as well. + Full-knowledge version (attackers knows the local models of all clients). + + Input: + ordered_results - list of tuples (client_proxy, fit_result) ordered by client id + states - dictionary of client ids and their states (True if malicious, False otherwise) + magnitude - magnitude of the attack + d - number of parameters + w_re - selected model + old_lambda - lambda value + threshold - threshold for lambda + malicious_selected - whether the malicious client was selected or not + """ + + d = kwargs.get("d", 1) + w_re = kwargs.get("w_re", None) # the received global model + old_lambda = kwargs.get("old_lambda", 0.0) + threshold = kwargs.get("threshold", 0.0) + malicious_selected = kwargs.get("malicious_selected", False) + agr_func = kwargs.get("agr_function", None) + + n = len(ordered_results) # number of clients + c = sum(val == True for val in states.values()) # number of corrupted clients + + # lambda initialization + if old_lambda == 0: + benign = [ + (parameters_to_ndarrays(fitres.parameters), fitres.num_examples) + for _, fitres in ordered_results if states[fitres.metrics["cid"]] == False + ] + all = [ + (parameters_to_ndarrays(fitres.parameters), fitres.num_examples) + for _, fitres in ordered_results + ] + # Compute the smallest distance that Krum would choose + _, _, _, distances = krum(all, c, 1) + + idx_benign = [int(cid) for cid in states.keys() if states[cid]==False] + + min_dist = np.min(np.array(distances)[idx_benign]) / ((n - 2*c - 1)*np.sqrt(d)) + + # Compute max distance from w_re + dist_wre = np.zeros((len(benign))) + for i in range(len(benign)): + dist = [benign[i][0][j] - w_re[j] for j in range(d)] + norm_sums = 0 + for k in dist: + norm_sums += np.linalg.norm(k) + dist_wre[i] = norm_sums**2 + + max_dist = np.max(dist_wre) / np.sqrt(d) + l = min_dist + max_dist # lambda + else: + # lambda halving search + l = old_lambda + if old_lambda > threshold and malicious_selected == False: + l = old_lambda * 0.5 + + + # Compute sign vector s + magnitude = [] + for i in range(len(w_re)): + magnitude.append(np.sign(w_re[i]) * l) + + w_1 = [w_re[i] - magnitude[i] for i in range(len(w_re))] # corrupted model + corrupted_params = ndarrays_to_parameters(w_1) + + # Set corrupted clients' updates to w_1 + results =[ + ( + proxy, + FitRes(fitres.status, parameters=corrupted_params, num_examples=fitres.num_examples, metrics=fitres.metrics) + ) if states[fitres.metrics["cid"]] else (proxy, fitres) + for proxy, fitres in ordered_results + ] + + return results, {"lambda": l} + +def minmax_attack( + ordered_results:List[Tuple[ClientProxy, FitRes]], + states:Dict[str, bool], + **kwargs + ) -> List[Tuple[ClientProxy, FitRes]]: + """ + Implementation of Min-Max agnostic (O == True according to the heuristic) + attack (full-knowledge, perturbation function chosen according to our + experimental results). + + From: + "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses for Federated Learning" + (Shejwalkar et al., 2021) + """ + dataset_name = kwargs.get("dataset_name", None) + threshold = kwargs.get("threshold", 1e-5) + lambda_init = kwargs.get("old_lambda", 5.0) + malicious_num = kwargs.get("malicious_num", 0) + + results = ordered_results.copy() + params = [parameters_to_ndarrays(fitres.parameters) for _, fitres in results] + params_avg = [np.mean(param, axis=0) for param in zip(*params)] + + # Decide what perturbation to use according to the + # results presented in the paper. + if dataset_name == "mnist": + # Apply std perturbation + # In the paper authors state that sign function is the best + # but in my experience std perturbation works better + perturbation_vect = [-np.std(layer, axis=0) for layer in zip(*params)] + elif dataset_name == "cifar": + # Apply std perturbation + perturbation_vect = [-np.std(layer, axis=0) for layer in zip(*params)] + else: + # Apply std perturbation + perturbation_vect = [-np.std(layer, axis=0) for layer in zip(*params)] + + + # Compute lambda (referred as gamma in the paper) + lambda_succ = lambda_init + 1 + l = lambda_init + step = lambda_init * 0.5 + while abs(lambda_succ - l) > threshold and step > threshold and malicious_num > 0: + # Compute malicious gradients + pv = [l * perturbation_vect[i] for i in range(len(perturbation_vect))] + corrupted_params = [params_avg[i] + pv[i] for i in range(len(params_avg))] + + # Set corrupted clients' updates to corrupted_params + params_c = [corrupted_params if states[i] else params[i] for i in range(len(params))] + M = _compute_distances(params_c) + + # Remove from matrix M all malicious clients in both rows and columns + M_b = np.delete(M, [i for i in range(len(M)) if states[results[i][1].metrics["cid"]]], axis=0) + M_b = np.delete(M_b, [i for i in range(len(M)) if states[results[i][1].metrics["cid"]]], axis=1) + + # Remove from M all benign clients on rows and all malicious on columns + M_m = np.delete(M, [i for i in range(len(M)) if not states[results[i][1].metrics["cid"]]], axis=0) + M_m = np.delete(M_m, [i for i in range(len(M)) if states[results[i][1].metrics["cid"]]], axis=1) + + # Take the maximum distance between any benign client and any malicious one + max_dist_m = np.max(M_m) + + # Take the maximum distance between any two benign clients + max_dist_b = np.max(M_b) + + # Compute lambda (best scaling coefficient) + if max_dist_m < max_dist_b: + # Lambda (gamma in the paper) is good. Save and try to increase it + lambda_succ = l + l = l + step * 0.5 + else: + # Lambda is to big, must be reduced to increse the chances of being selected + l = l - step * 0.5 + step *= 0.5 + + # Compute the final malicious update + perturbation_vect = [lambda_succ * perturbation_vect[i] for i in range(len(perturbation_vect))] + corrupted_params = [params_avg[i] + perturbation_vect[i] for i in range(len(params_avg))] + corrupted_params = ndarrays_to_parameters(corrupted_params) + for proxy, fitres in ordered_results: + if states[fitres.metrics["cid"]]: + fitres.parameters = corrupted_params + results[int(fitres.metrics['cid'])] = (proxy, fitres) + return results, {"lambda": l} \ No newline at end of file diff --git a/baselines/flanders/flanders/client.py b/baselines/flanders/flanders/client.py new file mode 100644 index 000000000000..313381e4256b --- /dev/null +++ b/baselines/flanders/flanders/client.py @@ -0,0 +1,279 @@ +"""Define your client class and a function to construct such clients. + +Please overwrite `flwr.client.NumPyClient` or `flwr.client.Client` and create a function +to instantiate your client. +""" +import flwr as fl +from flwr.common.typing import Scalar +import ray +import torch +import numpy as np +import pandas as pd +from collections import OrderedDict +from typing import Dict, List, Union, Tuple +from pathlib import Path +from neural_networks.dataset_utils import get_mnist, do_fl_partitioning, get_dataloader, get_circles +from neural_networks.neural_networks import CifarNet, train_cifar, test_cifar, MnistNet, ToyNN, test_toy, train_mnist, test_mnist, train_toy +from sklearn.linear_model import LogisticRegression, LinearRegression, Ridge, Lasso, ElasticNet +from sklearn.metrics import accuracy_score, log_loss + +XY = Tuple[np.ndarray, np.ndarray] +LogRegParams = Union[XY, Tuple[np.ndarray]] + +def get_params(model: torch.nn.ModuleList) -> List[np.ndarray]: + """Get model weights as a list of NumPy ndarrays.""" + return [val.cpu().numpy() for _, val in model.state_dict().items()] + +def set_params(model: torch.nn.ModuleList, params: List[np.ndarray]): + """Set model weights from a list of NumPy ndarrays.""" + params_dict = zip(model.state_dict().keys(), params) + state_dict = OrderedDict({k: torch.from_numpy(np.copy(v)) for k, v in params_dict}) + model.load_state_dict(state_dict, strict=True) + +def get_sklearn_model_params(model: LogisticRegression) -> LogRegParams: + """Returns the paramters of a sklearn LogisticRegression model.""" + if model.fit_intercept: + params = [ + model.coef_, + model.intercept_, + ] + else: + params = [ + model.coef_, + ] + return params + +def set_sklearn_model_params( + model: LogisticRegression, params: LogRegParams +) -> LogisticRegression: + """Sets the parameters of a sklean LogisticRegression model.""" + model.coef_ = params[0] + if model.fit_intercept: + model.intercept_ = params[1] + return model + +def set_initial_params_logistic_regr(model: LogisticRegression): + """ + Sets initial parameters as zeros. Required since model params are + uninitialized until model.fit is called. + + Server asks for initial parameters from clients at launch. + Refer to sklearn.linear_model.LogisticRegression documentation for more + information. + """ + n_classes = 2 + n_features = 14 + model.classes_ = np.array([i for i in range(n_classes)]) + + model.coef_ = np.zeros((n_classes, n_features)) + if model.fit_intercept: + model.intercept_ = np.zeros((n_classes,)) + return model + +def set_initial_params_linear_regr(model: ElasticNet): + """ + Sets initial parameters as zeros. Required since model params are + uninitialized until model.fit is called. + + Server asks for initial parameters from clients at launch. + Refer to sklearn.linear_model.LinearRegression documentation for more + information. + """ + n_features = 18 + model.coef_ = np.zeros((n_features,)) + if model.fit_intercept: + model.intercept_ = np.zeros((1,)) + return model + + +# Adapted from Pytorch quickstart example +class MnistClient(fl.client.NumPyClient): + def __init__(self, cid: str, pool_size: int): + self.cid = cid + self.properties: Dict[str, Scalar] = {"tensor_type": "numpy.ndarray"} + self.net = MnistNet() + self.device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") + self.pool_size = pool_size + + def get_parameters(self, config): + return get_params(self.net) + + def fit(self, parameters, config): + set_params(self.net, parameters) + + # Load data for this client and get trainloader + num_workers = 1 + + trainloader = get_mnist("datasets", 32, self.cid, nb_clients=self.pool_size, is_train=True, workers=num_workers) + + # Send model to device + self.net.to(self.device) + + # Train + train_mnist(self.net, trainloader, epochs=config["epochs"], device=self.device) + + new_parameters = self.get_parameters(config={}) + + # Return local model and statistics + return new_parameters, len(trainloader.dataset), {"malicious": config["malicious"], "cid": self.cid} + + def evaluate(self, parameters, config): + set_params(self.net, parameters) + + # Load data for this client and get trainloader + num_workers = len(ray.worker.get_resource_ids()["CPU"]) + testloader = get_mnist("datasets", 32, self.cid, nb_clients=self.pool_size, is_train=False, workers=num_workers) + + # Send model to device + self.net.to(self.device) + + # Evaluate + loss, accuracy = test_mnist(self.net, testloader, device=self.device) + + # Return statistics + return float(loss), len(testloader), {"accuracy": float(accuracy)} + + +# Adapted from Pytorch quickstart example +class CifarClient(fl.client.NumPyClient): + def __init__(self, cid: str, fed_dir_data: str): + self.cid = cid + self.fed_dir = Path(fed_dir_data) + self.properties: Dict[str, Scalar] = {"tensor_type": "numpy.ndarray"} + + # Instantiate model + self.net = CifarNet() + + # Determine device + self.device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") + #self.device = torch.device("mps") + def get_parameters(self, config): + return get_params(self.net) + + def fit(self, parameters, config): + set_params(self.net, parameters) + + # Load data for this client and get trainloader + num_workers = 1 + trainloader = get_dataloader( + self.fed_dir, + self.cid, + is_train=True, + batch_size=config["batch_size"], + workers=num_workers, + ) + + self.net.to(self.device) + train_cifar(self.net, trainloader, epochs=config["epochs"], device=self.device) + + return get_params(self.net), len(trainloader.dataset), {"malicious": config["malicious"], "cid": self.cid} + + def evaluate(self, parameters, config): + set_params(self.net, parameters) + + # Load data for this client and get trainloader + num_workers = len(ray.worker.get_resource_ids()["CPU"]) + valloader = get_dataloader( + self.fed_dir, self.cid, is_train=False, batch_size=50, workers=num_workers + ) + + self.net.to(self.device) + loss, accuracy = test_cifar(self.net, valloader, device=self.device) + + return float(loss), len(valloader.dataset), {"accuracy": float(accuracy)} + + +class IncomeClient(fl.client.NumPyClient): + def __init__(self, cid: str, x_train, y_train, x_test, y_test): + self.model = LogisticRegression(penalty="l1", solver="liblinear", max_iter=1, warm_start=True) + set_initial_params_logistic_regr(self.model) + self.cid = cid + self.x_train = x_train + self.y_train = y_train + self.x_test = x_test + self.y_test = y_test + + def get_parameters(self, config: Dict[str, Scalar]): + return get_sklearn_model_params(self.model) + + def fit(self, parameters, config): + # Set scikit logistic regression model parameters + self.model = set_sklearn_model_params(self.model, parameters) + self.model.fit(self.x_train, self.y_train) + new_parameters = get_sklearn_model_params(self.model) + return new_parameters, len(self.x_train), {"malicious": config["malicious"], "cid": self.cid} + + def evaluate(self, parameters, config): + # Set scikit logistic regression model parameters + self.model = set_sklearn_model_params(self.model, parameters) + y_pred = self.model.predict(self.x_test) + accuracy = accuracy_score(y_pred, self.y_test) + loss = log_loss(self.y_test, self.model.predict_proba(self.x_test)) + return float(loss), len(self.x_test), {"accuracy": float(accuracy)} + + +class HouseClient(fl.client.NumPyClient): + def __init__(self, cid: str, x_train, y_train, x_test, y_test): + self.model = ElasticNet(alpha=1, max_iter=1, warm_start=True) + set_initial_params_linear_regr(self.model) + self.cid = cid + self.x_train = x_train + self.y_train = y_train + self.x_test = x_test + self.y_test = y_test + + def get_parameters(self, config: Dict[str, Scalar]): + return get_sklearn_model_params(self.model) + + def fit(self, parameters, config): + self.model = set_sklearn_model_params(self.model, parameters) + self.model.fit(self.x_train, self.y_train) + new_parameters = get_sklearn_model_params(self.model) + return new_parameters, len(self.x_train), {"malicious": config["malicious"], "cid": self.cid} + + def evaluate(self, parameters, config): + return 0, 0, {"accuracy": 0} + + +class ToyClient(fl.client.NumPyClient): + def __init__(self, cid: str, pool_size: int): + self.cid = cid + self.properties: Dict[str, Scalar] = {"tensor_type": "numpy.ndarray"} + self.net = ToyNN() + self.device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") + + def get_parameters(self, config): + return get_params(self.net) + + def fit(self, parameters, config): + set_params(self.net, parameters) + + # Load data for this client and get trainloader + #num_workers = len(ray.worker.get_resource_ids()["CPU"]) + num_workers = 1 + trainloader = get_circles(32, n_samples=10000, workers=num_workers, is_train=True) + + self.net.to(self.device) + train_toy(self.net, trainloader, epochs=config["epochs"], device=self.device) + + new_parameters = self.get_parameters(config={}) + + # Return local model and statistics + return new_parameters, len(trainloader.dataset), {"malicious": config["malicious"], "cid": self.cid} + + def evaluate(self, parameters, config): + set_params(self.net, parameters) + + # Load data for this client and get trainloader + #num_workers = len(ray.worker.get_resource_ids()["CPU"]) + num_workers = 1 + testloader = get_circles(32, n_samples=10000, workers=num_workers, is_train=False) + + # Send model to device + self.net.to(self.device) + + # Evaluate + loss, accuracy = test_toy(self.net, testloader, device=self.device) + + # Return statistics + return float(loss), len(testloader), {"accuracy": float(accuracy)} \ No newline at end of file diff --git a/baselines/flanders/flanders/conf/base.yaml b/baselines/flanders/flanders/conf/base.yaml new file mode 100644 index 000000000000..2d65b3b989b2 --- /dev/null +++ b/baselines/flanders/flanders/conf/base.yaml @@ -0,0 +1,17 @@ +--- +# this is the config that will be loaded as default by main.py +# Please follow the provided structure (this will ensuring all baseline follow +# a similar configuration structure and hence be easy to customise) + +dataset: + # dataset config + +model: + # model config + +strategy: + _target_: # points to your strategy (either custom or exiting in Flower) + # rest of strategy config + +client: + # client config diff --git a/baselines/flanders/flanders/dataset.py b/baselines/flanders/flanders/dataset.py new file mode 100644 index 000000000000..5e436abe12fb --- /dev/null +++ b/baselines/flanders/flanders/dataset.py @@ -0,0 +1,10 @@ +"""Handle basic dataset creation. + +In case of PyTorch it should return dataloaders for your dataset (for both the clients +and the server). If you are using a custom dataset class, this module is the place to +define it. If your dataset requires to be downloaded (and this is not done +automatically -- e.g. as it is the case for many dataset in TorchVision) and +partitioned, please include all those functions and logic in the +`dataset_preparation.py` module. You can use all those functions from functions/methods +defined here of course. +""" diff --git a/baselines/flanders/flanders/dataset_preparation.py b/baselines/flanders/flanders/dataset_preparation.py new file mode 100644 index 000000000000..351b4a6667cb --- /dev/null +++ b/baselines/flanders/flanders/dataset_preparation.py @@ -0,0 +1,358 @@ +# Borrowed from adap/Flower examples + +from pathlib import Path +import numpy as np +import pandas as pd +import torch +from torchvision import datasets, transforms +from torch.utils.data import DataLoader, SubsetRandomSampler +import shutil +from PIL import Image +from torchvision.datasets import VisionDataset +from typing import Callable, Optional, Tuple, Any +from neural_networks.common import create_lda_partitions +from sklearn.datasets import make_circles +from sklearn.preprocessing import OrdinalEncoder +from sklearn.preprocessing import StandardScaler +from sklearn.model_selection import train_test_split +from sklearn import preprocessing +from sklearn.utils import check_random_state + +class Data(torch.utils.data.Dataset): + def __init__(self, X, y): + self.X = torch.from_numpy(X.astype(np.float32)) + self.y = torch.from_numpy(y.astype(np.float32)) + self.len = self.X.shape[0] + + def __getitem__(self, index): + return self.X[index], self.y[index] + + def __len__(self): + return self.len + +def get_dataset(path_to_data: Path, cid: str, partition: str): + + # generate path to cid's data + path_to_data = path_to_data / cid / (partition + ".pt") + + return TorchVision_FL(path_to_data, transform=cifar10Transformation()) + + +def get_random_id_splits(total: int, val_ratio: float, shuffle: bool = True): + """splits a list of length `total` into two following a + (1-val_ratio):val_ratio partitioning. + + By default the indices are shuffled before creating the split and + returning. + """ + + if isinstance(total, int): + indices = list(range(total)) + else: + indices = total + + split = int(np.floor(val_ratio * len(indices))) + # print(f"Users left out for validation (ratio={val_ratio}) = {split} ") + if shuffle: + np.random.shuffle(indices) + return indices[split:], indices[:split] + + +def do_fl_partitioning(path_to_dataset, pool_size, alpha, num_classes, val_ratio=0.0, seed=None): + """Torchvision (e.g. CIFAR-10) datasets using LDA.""" + + images, labels = torch.load(path_to_dataset) + idx = np.array(range(len(images))) + dataset = [idx, labels] + partitions, _ = create_lda_partitions( + dataset, num_partitions=pool_size, concentration=alpha, accept_imbalanced=True, seed=seed + ) + + # Show label distribution for first partition (purely informative) + partition_zero = partitions[0][1] + hist, _ = np.histogram(partition_zero, bins=list(range(num_classes + 1))) + print( + f"Class histogram for 0-th partition (alpha={alpha}, {num_classes} classes): {hist}" + ) + + # now save partitioned dataset to disk + # first delete dir containing splits (if exists), then create it + splits_dir = path_to_dataset.parent / "federated" + if splits_dir.exists(): + shutil.rmtree(splits_dir) + Path.mkdir(splits_dir, parents=True) + + for p in range(pool_size): + + labels = partitions[p][1] + image_idx = partitions[p][0] + imgs = images[image_idx] + + # create dir + Path.mkdir(splits_dir / str(p)) + + if val_ratio > 0.0: + # split data according to val_ratio + train_idx, val_idx = get_random_id_splits(len(labels), val_ratio) + val_imgs = imgs[val_idx] + val_labels = labels[val_idx] + + with open(splits_dir / str(p) / "val.pt", "wb") as f: + torch.save([val_imgs, val_labels], f) + + # remaining images for training + imgs = imgs[train_idx] + labels = labels[train_idx] + + with open(splits_dir / str(p) / "train.pt", "wb") as f: + torch.save([imgs, labels], f) + + return splits_dir + + +def cifar10Transformation(): + + return transforms.Compose( + [ + transforms.ToTensor(), + transforms.Normalize((0.4914, 0.4822, 0.4465), (0.2023, 0.1994, 0.2010)), + ] + ) + + +class TorchVision_FL(VisionDataset): + """This is just a trimmed down version of torchvision.datasets.MNIST. + + Use this class by either passing a path to a torch file (.pt) + containing (data, targets) or pass the data, targets directly + instead. + """ + + def __init__( + self, + path_to_data=None, + data=None, + targets=None, + transform: Optional[Callable] = None, + ) -> None: + path = path_to_data.parent if path_to_data else None + super(TorchVision_FL, self).__init__(path, transform=transform) + self.transform = transform + + if path_to_data: + # load data and targets (path_to_data points to an specific .pt file) + self.data, self.targets = torch.load(path_to_data) + else: + self.data = data + self.targets = targets + + def __getitem__(self, index: int) -> Tuple[Any, Any]: + img, target = self.data[index], int(self.targets[index]) + + # doing this so that it is consistent with all other datasets + # to return a PIL Image + if not isinstance(img, Image.Image): # if not PIL image + if not isinstance(img, np.ndarray): # if torch tensor + img = img.numpy() + + img = Image.fromarray(img) + + if self.transform is not None: + img = self.transform(img) + + if self.target_transform is not None: + target = self.target_transform(target) + + return img, target + + def __len__(self) -> int: + return len(self.data) + + +def get_cifar_10(path_to_data="datasets/cifar_nn/data"): + """Downloads CIFAR10 dataset and generates a unified training set (it will + be partitioned later using the LDA partitioning mechanism.""" + + # download dataset and load train set + train_set = datasets.CIFAR10(root=path_to_data, train=True, download=True) + + # fuse all data splits into a single "training.pt" + data_loc = Path(path_to_data) / "cifar-10-batches-py" + training_data = data_loc / "training.pt" + print("Generating unified CIFAR dataset") + torch.save([train_set.data, np.array(train_set.targets)], training_data) + + test_set = datasets.CIFAR10( + root=path_to_data, train=False, transform=cifar10Transformation() + ) + + # returns path where training data is and testset + return training_data, test_set + +def get_mnist( + data_root: str, + batch_size: int, + cid: int, + workers=1, + nb_clients=10, + is_train=True, +): + """Helper function that loads both training and test datasets for MNIST. + Parameters + ---------- + data_root: str + Directory where MNIST dataset will be stored. + train_batch_size: int + Mini-batch size for training set. + test_batch_size: int + Mini-batch size for test set. + cid: int + Client ID used to select a specific partition. + nb_clients: int + Total number of clients launched during training. This value dictates the number of unique to be created. + Returns + ------- + (train_loader, test_loader): Tuple[DataLoader, DataLoader] + Tuple contaning DataLoaders for training and test sets. + """ + + transform = transforms.Compose( + [transforms.ToTensor(), transforms.Normalize((0.1307,), (0.3081,))] + ) + if is_train: + dataset = datasets.MNIST( + data_root, train=True, download=True, transform=transform + ) + else: + dataset = datasets.MNIST(data_root, train=False, transform=transform) + + loader = dataset_partitioner( + dataset=dataset, + batch_size=batch_size, + client_id=cid, + number_of_clients=nb_clients, + workers=workers, + ) + + return loader + +def get_circles( + batch_size: int, + n_samples: int = 1000, + workers=1, + is_train=True +): + # Create a dataset with 10,000 samples. + X, y = make_circles(n_samples = n_samples, + noise= 0.05, + random_state=26) + if is_train: + X_train, _, y_train, _ = train_test_split(X, y, test_size=.33) + # Instantiate training and test data + train_data = Data(X_train, y_train) + dataloader = DataLoader(dataset=train_data, batch_size=batch_size, shuffle=True, num_workers=workers) + else: + _, X_test, _, y_test = train_test_split(X, y, test_size=.33) + # Instantiate training and test data + test_data = Data(X_test, y_test) + dataloader = DataLoader(dataset=test_data, batch_size=batch_size, shuffle=True, num_workers=workers) + return dataloader + + +def dataset_partitioner( + dataset: torch.utils.data.Dataset, + batch_size: int, + client_id: int, + number_of_clients: int, + workers: int = 1, +) -> torch.utils.data.DataLoader: + """Helper function to partition datasets + Parameters + ---------- + dataset: torch.utils.data.Dataset + Dataset to be partitioned into *number_of_clients* subsets. + batch_size: int + Size of mini-batches used by the returned DataLoader. + client_id: int + Unique integer used for selecting a specific partition. + number_of_clients: int + Total number of clients launched during training. This value dictates the number of partitions to be created. + Returns + ------- + data_loader: torch.utils.data.Dataset + DataLoader for specific client_id considering number_of_clients partitions. + """ + + # Set the seed so we are sure to generate the same global batches + # indices across all clients + np.random.seed(123) + + # Get the data corresponding to this client + dataset_size = len(dataset) + nb_samples_per_clients = dataset_size // number_of_clients + dataset_indices = list(range(dataset_size)) + np.random.shuffle(dataset_indices) + + # Get starting and ending indices w.r.t CLIENT_ID + start_ind = int(client_id) * nb_samples_per_clients + end_ind = start_ind + nb_samples_per_clients + data_sampler = SubsetRandomSampler(dataset_indices[start_ind:end_ind]) + data_loader = torch.utils.data.DataLoader( + dataset, batch_size=batch_size, shuffle=False, sampler=data_sampler, num_workers=workers + ) + return data_loader + +def get_partitioned_income(path: str, pool_size: int, train_size=0.8, test_size=0.2): + data=pd.read_csv(path) + copy=data + encoder=OrdinalEncoder() + encoded_values=encoder.fit_transform(data) + data=pd.DataFrame(data=encoded_values, columns=copy.columns) + Y=data["income"] + data=data.loc[:,data.columns!="income"] + + X_train, X_test, y_train, y_test = [], [], [], [] + train_size = int((len(data) * train_size) // pool_size)+2 + test_size = int((len(data) * test_size) // pool_size)-2 + for i in range(pool_size): + xtrain, xtest, ytrain, ytest = train_test_split( + data, Y, + train_size=train_size, + test_size=test_size, + random_state=i, + shuffle=True, + stratify=Y + ) + X_train.append(xtrain) + X_test.append(xtest) + y_train.append(ytrain) + y_test.append(ytest) + + return X_train, X_test, y_train, y_test + +def get_partitioned_house(path: str, pool_size: int, train_size=0.8, test_size=0.2): + data = pd.read_csv(path) + Y = data['median_house_value'].values + data = data.drop(['median_house_value'] , axis = 1).values + + X_train, X_test, y_train, y_test = [], [], [], [] + train_size = int((len(data) * train_size) // pool_size)+2 + test_size = int((len(data) * test_size) // pool_size)-2 + for i in range(pool_size): + xtrain, xtest, ytrain, ytest = train_test_split( + data, Y, + train_size=train_size, + test_size=test_size, + random_state=i, + shuffle=True + ) + sd = preprocessing.RobustScaler() + xtrain = sd.fit_transform(xtrain) + xtest = sd.fit_transform(xtest) + + X_train.append(xtrain) + X_test.append(xtest) + y_train.append(ytrain) + y_test.append(ytest) + + return X_train, X_test, y_train, y_test \ No newline at end of file diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py new file mode 100644 index 000000000000..83de9293a48e --- /dev/null +++ b/baselines/flanders/flanders/main.py @@ -0,0 +1,161 @@ +"""Create and connect the building blocks for your experiments; start the simulation. + +It includes processioning the dataset, instantiate strategy, specify how the global +model is going to be evaluated, etc. At the end, this script saves the results. +""" +# these are the basic packages you'll need here +# feel free to remove some if aren't needed +import hydra +from hydra.utils import instantiate +from omegaconf import DictConfig, OmegaConf + + +import argparse +import shutil +import numpy as np +import flwr as fl +from flwr.common.typing import Scalar +import torch +import os +import random +import pandas as pd + +from typing import Dict, Callable, Optional, Tuple, List +from neural_networks.dataset_utils import ( + get_mnist, + do_fl_partitioning, + get_dataloader, + get_circles, + get_cifar_10, + get_partitioned_house, + get_partitioned_income +) +from neural_networks.neural_networks import ( + MnistNet, + ToyNN, + roc_auc_multiclass, + test_toy, + train_mnist, + test_mnist, + train_toy +) +from clients import ( + CifarClient, + HouseClient, + IncomeClient, + ToyClient, + set_params, + get_params, + MnistClient, + set_sklearn_model_params, + get_sklearn_model_params +) +from neural_networks.neural_networks import CifarNet, test_cifar +from strategy.utilities import save_results + +from torch.utils.data import DataLoader +from torchvision import transforms +from torchvision.datasets import MNIST + +from strategy.flanders import Flanders + + +from attacks import ( + fang_attack, + gaussian_attack, + lie_attack, + no_attack, + minmax_attack +) + +from flwr.server.strategy.fedavg import FedAvg +from flwr.common import ( + ndarrays_to_parameters, + parameters_to_ndarrays, +) + +from sklearn.linear_model import LogisticRegression, LinearRegression, Ridge, Lasso, ElasticNet +from sklearn.metrics import accuracy_score, log_loss, roc_auc_score, mean_squared_error, mean_absolute_percentage_error, r2_score + + +@hydra.main(config_path="conf", config_name="base", version_base=None) +def main(cfg: DictConfig) -> None: + """Run the baseline. + + Parameters + ---------- + cfg : DictConfig + An omegaconf object that stores the hydra config. + """ + # 1. Print parsed config + print(OmegaConf.to_yaml(cfg)) + + print(cfg.dataset) + + evaluate_fn = mnist_evaluate + + # 2. Prepare your dataset + # here you should call a function in datasets.py that returns whatever is needed to: + # (1) ensure the server can access the dataset used to evaluate your model after + # aggregation + # (2) tell each client what dataset partitions they should use (e.g. a this could + # be a location in the file system, a list of dataloader, a list of ids to extract + # from a dataset, it's up to you) + + # 3. Define your clients + # Define a function that returns another function that will be used during + # simulation to instantiate each individual client + # client_fn = client.() + client = MnistClient + def client_fn(cid: int, pool_size: int): + return client(cid, pool_size) + + # 4. Define your strategy + # pass all relevant argument (including the global dataset used after aggregation, + # if needed by your method.) + # strategy = instantiate(cfg.strategy, ) + strategy = instantiate(cfg.strategy) + + + # 5. Start Simulation + # history = fl.simulation.start_simulation() + fl.simulation.start_simulation( + client_fn=client_fn, + num_clients=cfg.pool_size, + config=fl.server.ServerConfig(num_rounds=cfg.num_rounds), + strategy=strategy + ) + + # 6. Save your results + # Here you can save the `history` returned by the simulation and include + # also other buffers, statistics, info needed to be saved in order to later + # on generate the plots you provide in the README.md. You can for instance + # access elements that belong to the strategy for example: + # data = strategy.get_my_custom_data() -- assuming you have such method defined. + # Hydra will generate for you a directory each time you run the code. You + # can retrieve the path to that directory with this: + # save_path = HydraConfig.get().runtime.output_dir + +def mnist_evaluate( + server_round: int, parameters: fl.common.NDArrays, config: Dict[str, Scalar] +): + # determine device + device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") + + model = MnistNet() + set_params(model, parameters) + model.to(device) + + testset = MNIST("", train=False, download=True, transform=transforms.ToTensor()) + testloader = DataLoader(testset, batch_size=32, shuffle=False, num_workers=1) + loss, accuracy, auc = test_mnist(model, testloader, device=device) + + config["id"] = args.exp_num + config["round"] = server_round + config["auc"] = auc + save_results(loss, accuracy, config=config) + + # return statistics + return loss, {"accuracy": accuracy, "auc": auc} + +main() \ No newline at end of file diff --git a/baselines/flanders/flanders/models.py b/baselines/flanders/flanders/models.py new file mode 100644 index 000000000000..90739f6b6573 --- /dev/null +++ b/baselines/flanders/flanders/models.py @@ -0,0 +1,207 @@ +"""Define our models, and training and eval functions. + +If your model is 100% off-the-shelf (e.g. directly from torchvision without requiring +modifications) you might be better off instantiating your model directly from the Hydra +config. In this way, swapping your model for another one can be done without changing +the python code at all +""" +import itertools +import torch +import torch.nn as nn +import torch.nn.functional as F +import numpy as np +from sklearn.metrics import roc_auc_score +from sklearn.preprocessing import LabelBinarizer + +def roc_auc_multiclass(y_true, y_pred): + lb = LabelBinarizer() + lb.fit(y_true) + y_true = lb.transform(y_true) + y_pred = lb.transform(y_pred) + return roc_auc_score(y_true, y_pred, multi_class="ovr") + +# Source: https://github.com/bladesteam/blades/blob/master/src/blades/models/mnist/mlp.py +class MnistNet(nn.Module): + def __init__(self): + super(MnistNet, self).__init__() + # number of hidden nodes in each layer (512) + hidden_1 = 128 + hidden_2 = 256 + # linear layer (784 -> hidden_1) + self.fc1 = nn.Linear(28 * 28, hidden_1) + # linear layer (n_hidden -> hidden_2) + self.fc2 = nn.Linear(hidden_1, hidden_2) + # linear layer (n_hidden -> 10) + self.fc3 = nn.Linear(hidden_2, 10) + # dropout layer (p=0.2) + # dropout prevents overfitting of data + self.dropout = nn.Dropout(0.2) + + def forward(self, x): + # flatten image input + x = x.view(-1, 28 * 28) + # add hidden layer, with relu activation function + x = F.relu(self.fc1(x)) + # add dropout layer + x = self.dropout(x) + # add hidden layer, with relu activation function + x = F.relu(self.fc2(x)) + # add dropout layer + x = self.dropout(x) + # add output layer + x = self.fc3(x) + x = F.log_softmax(x, dim=1) + return x + +def train_mnist(model, dataloader, epochs, device): + n_total_steps = len(dataloader) + criterion = nn.CrossEntropyLoss() + optimizer = torch.optim.Adam(model.parameters(), lr=0.001) + for epoch in range(epochs): + for i, (images, labels) in enumerate(dataloader): + # origin shape: [100, 1, 28, 28] + # resized: [100, 784] + images = images.reshape(-1, 28*28).to(device) + labels = labels.to(device) + + # Forward pass + outputs = model(images) + loss = criterion(outputs, labels) + + # Backward and optimize + optimizer.zero_grad() + loss.backward() + optimizer.step() + + if (i+1) % 100 == 0: + print (f'Epoch [{epoch+1}/{epochs}], Step [{i+1}/{n_total_steps}], Loss: {loss.item():.4f}') + +def test_mnist(model, dataloader, device): + loss=0 + model.eval() + criterion = nn.CrossEntropyLoss() + y_true, y_pred = [], [] + with torch.no_grad(): + n_correct = 0 + n_samples = 0 + for images, labels in dataloader: + images = images.reshape(-1, 28*28).to(device) + labels = labels.to(device) + outputs = model(images) + # max returns (value ,index) + _, predicted = torch.max(outputs.data, 1) + n_samples += labels.size(0) + n_correct += (predicted == labels).sum().item() + loss += criterion(outputs, labels).item() + y_true.append(labels.cpu().numpy()) + y_pred.append(predicted.cpu().numpy()) + y_true = list(itertools.chain(*y_true)) + y_pred = list(itertools.chain(*y_pred)) + auc = roc_auc_multiclass(y_true, y_pred) + acc = n_correct / n_samples + return loss, acc, auc + +# Model (simple CNN adapted from 'PyTorch: A 60 Minute Blitz') +# borrowed from Pytorch quickstart example +class CifarNet(nn.Module): + def __init__(self) -> None: + super(CifarNet, self).__init__() + self.conv1 = nn.Conv2d(3, 6, 5) + self.pool = nn.MaxPool2d(2, 2) + self.conv2 = nn.Conv2d(6, 16, 5) + self.fc1 = nn.Linear(16 * 5 * 5, 120) + self.fc2 = nn.Linear(120, 84) + self.fc3 = nn.Linear(84, 10) + + def forward(self, x: torch.Tensor) -> torch.Tensor: + x = self.pool(F.relu(self.conv1(x))) + x = self.pool(F.relu(self.conv2(x))) + x = x.view(-1, 16 * 5 * 5) + x = F.relu(self.fc1(x)) + x = F.relu(self.fc2(x)) + x = self.fc3(x) + return x + +# borrowed from Pytorch quickstart example +def train_cifar(net, trainloader, epochs, device: str): + """Train the network on the training set.""" + criterion = torch.nn.CrossEntropyLoss() + optimizer = torch.optim.SGD(net.parameters(), lr=0.01, momentum=0.9) + net.train() + for _ in range(epochs): + for images, labels in trainloader: + images, labels = images.to(device), labels.to(device) + optimizer.zero_grad() + loss = criterion(net(images), labels) + loss.backward() + optimizer.step() + + +# borrowed from Pytorch quickstart example +def test_cifar(net, testloader, device: str): + """Validate the network on the entire test set.""" + criterion = torch.nn.CrossEntropyLoss() + correct, total, loss = 0, 0, 0.0 + y_true, y_pred = [], [] + net.eval() + with torch.no_grad(): + for data in testloader: + images, labels = data[0].to(device), data[1].to(device) + outputs = net(images) + loss += criterion(outputs, labels).item() + _, predicted = torch.max(outputs.data, 1) + total += labels.size(0) + correct += (predicted == labels).sum().item() + y_true.append(labels.cpu().numpy()) + y_pred.append(predicted.cpu().numpy()) + y_true = list(itertools.chain(*y_true)) + y_pred = list(itertools.chain(*y_pred)) + auc = roc_auc_multiclass(y_true, y_pred) + accuracy = correct / total + return loss, accuracy, auc + +# Source: https://www.datacamp.com/tutorial/pytorch-tutorial-building-a-simple-neural-network-from-scratch +class ToyNN(nn.Module): + def __init__(self, input_dim=2, hidden_dim=10, output_dim=1): + super(ToyNN, self).__init__() + self.layer_1 = nn.Linear(input_dim, hidden_dim) + nn.init.kaiming_uniform_(self.layer_1.weight, nonlinearity="relu") + self.layer_2 = nn.Linear(hidden_dim, output_dim) + + def forward(self, x): + x = torch.nn.functional.relu(self.layer_1(x)) + x = torch.nn.functional.sigmoid(self.layer_2(x)) + return x + +def train_toy(model, dataloader, epochs, device): + loss_fn = nn.BCELoss() + optimizer = torch.optim.SGD(model.parameters(), lr=0.1) + loss_values = [] + for epoch in range(epochs): + for X, y in dataloader: + # zero the parameter gradients + optimizer.zero_grad() + + # forward + backward + optimize + pred = model(X) + loss = loss_fn(pred, y.unsqueeze(-1)) + loss_values.append(loss.item()) + loss.backward() + optimizer.step() + +def test_toy(model, dataloader, device): + y_pred = [] + y_test = [] + total = 0 + correct = 0 + with torch.no_grad(): + for X, y in dataloader: + outputs = model(X) + predicted = np.where(outputs < 0.5, 0, 1) + predicted = list(itertools.chain(*predicted)) + y_pred.append(predicted) + y_test.append(y) + total += y.size(0) + correct += (predicted == y.numpy()).sum().item() + # loss, accuracy + return 0, correct / total \ No newline at end of file diff --git a/baselines/flanders/flanders/outputs/2023-11-18/11-37-55/.hydra/config.yaml b/baselines/flanders/flanders/outputs/2023-11-18/11-37-55/.hydra/config.yaml new file mode 100644 index 000000000000..689bc181efc1 --- /dev/null +++ b/baselines/flanders/flanders/outputs/2023-11-18/11-37-55/.hydra/config.yaml @@ -0,0 +1,5 @@ +dataset: null +model: null +strategy: + _target_: null +client: null diff --git a/baselines/flanders/flanders/outputs/2023-11-18/11-37-55/.hydra/hydra.yaml b/baselines/flanders/flanders/outputs/2023-11-18/11-37-55/.hydra/hydra.yaml new file mode 100644 index 000000000000..edeca837dcaa --- /dev/null +++ b/baselines/flanders/flanders/outputs/2023-11-18/11-37-55/.hydra/hydra.yaml @@ -0,0 +1,154 @@ +hydra: + run: + dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S} + sweep: + dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper + max_batch_size: null + params: null + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][HYDRA] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: simple + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + loggers: + logging_example: + level: DEBUG + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: simple + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + mode: RUN + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: + - hydra.mode=RUN + task: [] + job: + name: main + chdir: null + override_dirname: '' + id: ??? + num: ??? + config_name: base + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.3.2 + version_base: '1.3' + cwd: /Users/eddie/flower/baselines/flanders/flanders + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /Users/eddie/flower/baselines/flanders/flanders/conf + schema: file + provider: main + - path: '' + schema: structured + provider: schema + output_dir: /Users/eddie/flower/baselines/flanders/flanders/outputs/2023-11-18/11-37-55 + choices: + hydra/env: default + hydra/callbacks: null + hydra/job_logging: default + hydra/hydra_logging: default + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: basic + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/baselines/flanders/flanders/outputs/2023-11-18/11-37-55/.hydra/overrides.yaml b/baselines/flanders/flanders/outputs/2023-11-18/11-37-55/.hydra/overrides.yaml new file mode 100644 index 000000000000..fe51488c7066 --- /dev/null +++ b/baselines/flanders/flanders/outputs/2023-11-18/11-37-55/.hydra/overrides.yaml @@ -0,0 +1 @@ +[] diff --git a/baselines/flanders/flanders/outputs/2023-11-18/11-38-22/.hydra/config.yaml b/baselines/flanders/flanders/outputs/2023-11-18/11-38-22/.hydra/config.yaml new file mode 100644 index 000000000000..689bc181efc1 --- /dev/null +++ b/baselines/flanders/flanders/outputs/2023-11-18/11-38-22/.hydra/config.yaml @@ -0,0 +1,5 @@ +dataset: null +model: null +strategy: + _target_: null +client: null diff --git a/baselines/flanders/flanders/outputs/2023-11-18/11-38-22/.hydra/hydra.yaml b/baselines/flanders/flanders/outputs/2023-11-18/11-38-22/.hydra/hydra.yaml new file mode 100644 index 000000000000..321933e9b919 --- /dev/null +++ b/baselines/flanders/flanders/outputs/2023-11-18/11-38-22/.hydra/hydra.yaml @@ -0,0 +1,154 @@ +hydra: + run: + dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S} + sweep: + dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper + max_batch_size: null + params: null + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][HYDRA] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: simple + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + loggers: + logging_example: + level: DEBUG + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: simple + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + mode: RUN + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: + - hydra.mode=RUN + task: [] + job: + name: main + chdir: null + override_dirname: '' + id: ??? + num: ??? + config_name: base + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.3.2 + version_base: '1.3' + cwd: /Users/eddie/flower/baselines/flanders/flanders + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /Users/eddie/flower/baselines/flanders/flanders/conf + schema: file + provider: main + - path: '' + schema: structured + provider: schema + output_dir: /Users/eddie/flower/baselines/flanders/flanders/outputs/2023-11-18/11-38-22 + choices: + hydra/env: default + hydra/callbacks: null + hydra/job_logging: default + hydra/hydra_logging: default + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: basic + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/baselines/flanders/flanders/outputs/2023-11-18/11-38-22/.hydra/overrides.yaml b/baselines/flanders/flanders/outputs/2023-11-18/11-38-22/.hydra/overrides.yaml new file mode 100644 index 000000000000..fe51488c7066 --- /dev/null +++ b/baselines/flanders/flanders/outputs/2023-11-18/11-38-22/.hydra/overrides.yaml @@ -0,0 +1 @@ +[] diff --git a/baselines/flanders/flanders/outputs/2023-11-18/11-38-40/.hydra/config.yaml b/baselines/flanders/flanders/outputs/2023-11-18/11-38-40/.hydra/config.yaml new file mode 100644 index 000000000000..9e79191f247b --- /dev/null +++ b/baselines/flanders/flanders/outputs/2023-11-18/11-38-40/.hydra/config.yaml @@ -0,0 +1,5 @@ +dataset: cifar +model: null +strategy: + _target_: null +client: null diff --git a/baselines/flanders/flanders/outputs/2023-11-18/11-38-40/.hydra/hydra.yaml b/baselines/flanders/flanders/outputs/2023-11-18/11-38-40/.hydra/hydra.yaml new file mode 100644 index 000000000000..0e77fffb002d --- /dev/null +++ b/baselines/flanders/flanders/outputs/2023-11-18/11-38-40/.hydra/hydra.yaml @@ -0,0 +1,154 @@ +hydra: + run: + dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S} + sweep: + dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper + max_batch_size: null + params: null + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][HYDRA] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: simple + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + loggers: + logging_example: + level: DEBUG + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: simple + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + mode: RUN + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: + - hydra.mode=RUN + task: [] + job: + name: main + chdir: null + override_dirname: '' + id: ??? + num: ??? + config_name: base + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.3.2 + version_base: '1.3' + cwd: /Users/eddie/flower/baselines/flanders/flanders + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /Users/eddie/flower/baselines/flanders/flanders/conf + schema: file + provider: main + - path: '' + schema: structured + provider: schema + output_dir: /Users/eddie/flower/baselines/flanders/flanders/outputs/2023-11-18/11-38-40 + choices: + hydra/env: default + hydra/callbacks: null + hydra/job_logging: default + hydra/hydra_logging: default + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: basic + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/baselines/flanders/flanders/outputs/2023-11-18/11-38-40/.hydra/overrides.yaml b/baselines/flanders/flanders/outputs/2023-11-18/11-38-40/.hydra/overrides.yaml new file mode 100644 index 000000000000..fe51488c7066 --- /dev/null +++ b/baselines/flanders/flanders/outputs/2023-11-18/11-38-40/.hydra/overrides.yaml @@ -0,0 +1 @@ +[] diff --git a/baselines/flanders/flanders/outputs/2023-11-18/11-38-48/.hydra/config.yaml b/baselines/flanders/flanders/outputs/2023-11-18/11-38-48/.hydra/config.yaml new file mode 100644 index 000000000000..9e79191f247b --- /dev/null +++ b/baselines/flanders/flanders/outputs/2023-11-18/11-38-48/.hydra/config.yaml @@ -0,0 +1,5 @@ +dataset: cifar +model: null +strategy: + _target_: null +client: null diff --git a/baselines/flanders/flanders/outputs/2023-11-18/11-38-48/.hydra/hydra.yaml b/baselines/flanders/flanders/outputs/2023-11-18/11-38-48/.hydra/hydra.yaml new file mode 100644 index 000000000000..890cad7d1a37 --- /dev/null +++ b/baselines/flanders/flanders/outputs/2023-11-18/11-38-48/.hydra/hydra.yaml @@ -0,0 +1,154 @@ +hydra: + run: + dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S} + sweep: + dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper + max_batch_size: null + params: null + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][HYDRA] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: simple + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + loggers: + logging_example: + level: DEBUG + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: simple + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + mode: RUN + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: + - hydra.mode=RUN + task: [] + job: + name: main + chdir: null + override_dirname: '' + id: ??? + num: ??? + config_name: base + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.3.2 + version_base: '1.3' + cwd: /Users/eddie/flower/baselines/flanders/flanders + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /Users/eddie/flower/baselines/flanders/flanders/conf + schema: file + provider: main + - path: '' + schema: structured + provider: schema + output_dir: /Users/eddie/flower/baselines/flanders/flanders/outputs/2023-11-18/11-38-48 + choices: + hydra/env: default + hydra/callbacks: null + hydra/job_logging: default + hydra/hydra_logging: default + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: basic + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/baselines/flanders/flanders/outputs/2023-11-18/11-38-48/.hydra/overrides.yaml b/baselines/flanders/flanders/outputs/2023-11-18/11-38-48/.hydra/overrides.yaml new file mode 100644 index 000000000000..fe51488c7066 --- /dev/null +++ b/baselines/flanders/flanders/outputs/2023-11-18/11-38-48/.hydra/overrides.yaml @@ -0,0 +1 @@ +[] diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py new file mode 100644 index 000000000000..7b8177bc375e --- /dev/null +++ b/baselines/flanders/flanders/server.py @@ -0,0 +1,170 @@ +"""Create global evaluation function. + +Optionally, also define a new Server class (please note this is not needed in most +settings). +""" +from flwr.server import Server + +import concurrent.futures +import timeit +import numpy as np +from logging import DEBUG, INFO +from typing import Dict, List, Optional, Tuple, Union + +from typing import Callable, Dict, List, Optional, Tuple, Union, Any +from flwr.common import ( + Code, + DisconnectRes, + EvaluateIns, + EvaluateRes, + FitIns, + FitRes, + Parameters, + ReconnectIns, + Scalar, + parameters_to_ndarrays +) +from flwr.common.logger import log +from flwr.common.typing import GetParametersIns +from flwr.server.client_manager import ClientManager +from flwr.server.client_proxy import ClientProxy +from flwr.server.history import History +from flwr.server.strategy import FedAvg, Strategy + +from utils import ( + save_params, + save_predicted_params, + load_all_time_series, + load_time_series, + flatten_params +) + +FitResultsAndFailures = Tuple[ + List[Tuple[ClientProxy, FitRes]], + List[Union[Tuple[ClientProxy, FitRes], BaseException]], +] +EvaluateResultsAndFailures = Tuple[ + List[Tuple[ClientProxy, EvaluateRes]], + List[Union[Tuple[ClientProxy, EvaluateRes], BaseException]], +] +ReconnectResultsAndFailures = Tuple[ + List[Tuple[ClientProxy, DisconnectRes]], + List[Union[Tuple[ClientProxy, DisconnectRes], BaseException]], +] + +class EnhancedServer(Server): + """Server with enhanced functionality.""" + + def __init__( + self, + attack_fn:Optional[Callable], + *args: Any, + **kwargs: Any + ) -> None: + """Initialize.""" + + super().__init__(*args, **kwargs) + + + def fit_round( + self, + server_round: int, + timeout: Optional[float], + ) -> Optional[ + Tuple[Optional[Parameters], Dict[str, Scalar], FitResultsAndFailures] + ]: + """Perform a single round of federated averaging.""" + # Get clients and their respective instructions from strategy + client_instructions = self.strategy.configure_fit( + server_round=server_round, + parameters=self.parameters, + client_manager=self._client_manager, + ) + + if not client_instructions: + log(INFO, "fit_round %s: no clients selected, cancel", server_round) + return None + log( + DEBUG, + "fit_round %s: strategy sampled %s clients (out of %s)", + server_round, + len(client_instructions), + self._client_manager.num_available(), + ) + + # Collect `fit` results from all clients participating in this round + results, failures = super.fit_clients( + client_instructions=client_instructions, + max_workers=self.max_workers, + timeout=timeout, + ) + log( + DEBUG, + "fit_round %s received %s results and %s failures", + server_round, + len(results), + len(failures), + ) + + clients_state = {} # dictionary of clients representing wether they are malicious or not + + # Save parameters of each client as time series + ordered_results = [0 for _ in range(len(results))] + cids = np.array([]) + for proxy, fitres in results: + cids = np.append(cids, int(fitres.metrics["cid"])) + clients_state[fitres.metrics['cid']] = fitres.metrics['malicious'] + params = flatten_params(parameters_to_ndarrays(fitres.parameters)) + if self.sampling > 0: + if len(self.params_indexes) == 0: + # Sample a random subset of parameters + self.params_indexes = np.random.randint(0, len(params), size=self.sampling) + + params = params[self.params_indexes] + + save_params(params, fitres.metrics['cid']) + + # Re-arrange results in the same order as clients' cids impose + ordered_results[int(fitres.metrics['cid'])] = (proxy, fitres) + + # Initialize aggregated_parameters if it is the first round + if self.aggregated_parameters == []: + for key, val in clients_state.items(): + if val == False: + self.aggregated_parameters = parameters_to_ndarrays(ordered_results[int(key)][1].parameters) + break + + # Apply attack function + if self.attack_fn is not None and server_round > self.warmup_rounds: + results, others = self.attack_fn( + ordered_results, clients_state, magnitude=self.magnitude, + w_re=self.aggregated_parameters, malicious_selected=self.malicious_selected, + threshold=self.threshold, d=len(self.aggregated_parameters), old_lambda=self.old_lambda, + dataset_name=self.dataset_name, agr_function=self.strategy_name, to_keep = self.to_keep, + malicious_num=self.m[-1] + ) + self.old_lambda = others.get('lambda', 0.0) + + # Update saved parameters time series after the attack + for proxy, fitres in results: + if fitres.metrics['malicious']: + if self.sampling > 0: + params = flatten_params(parameters_to_ndarrays(fitres.parameters))[self.params_indexes] + else: + params = flatten_params(parameters_to_ndarrays(fitres.parameters)) + save_params(params, fitres.metrics['cid'], remove_last=True) + else: + results = ordered_results + others = {} + + # Sort clients states + clients_state = {k: clients_state[k] for k in sorted(clients_state)} + + # Aggregate training results + aggregated_result: Tuple[ + Optional[Parameters], + Dict[str, Scalar], + ] = self.strategy.aggregate_fit(server_round, results, failures, clients_state) + + parameters_aggregated, metrics_aggregated = aggregated_result + return parameters_aggregated, metrics_aggregated, (results, failures) diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py new file mode 100644 index 000000000000..0a68b3d0929f --- /dev/null +++ b/baselines/flanders/flanders/strategy.py @@ -0,0 +1,208 @@ +import numpy as np + +from typing import Callable, Dict, List, Optional, Tuple, Union +from flwr.server.strategy.fedavg import FedAvg +from utils import ( + save_params, + save_predicted_params, + load_all_time_series, + load_time_series, + flatten_params +) + +from flwr.common import ( + FitRes, + MetricsAggregationFn, + NDArrays, + Parameters, + Scalar, + parameters_to_ndarrays, +) +from flwr.server.client_proxy import ClientProxy + +WARNING_MIN_AVAILABLE_CLIENTS_TOO_LOW = """ +Setting `min_available_clients` lower than `min_fit_clients` or +`min_evaluate_clients` can cause the server to fail when there are too few clients +connected to the server. `min_available_clients` must be set to a value larger +than or equal to the values of `min_fit_clients` and `min_evaluate_clients`. +""" + +class Flanders(FedAvg): + """ + Aggregation function based on MAR. + """ + + # pylint: disable=too-many-arguments,too-many-instance-attributes + def __init__( + self, + *, + fraction_fit: float = 1.0, + fraction_evaluate: float = 1.0, + min_fit_clients: int = 2, + min_evaluate_clients: int = 2, + min_available_clients: int = 2, + evaluate_fn: Optional[ + Callable[ + [int, NDArrays, Dict[str, Scalar]], + Optional[Tuple[float, Dict[str, Scalar]]], + ] + ] = None, + on_fit_config_fn: Optional[Callable[[int], Dict[str, Scalar]]] = None, + on_evaluate_config_fn: Optional[Callable[[int], Dict[str, Scalar]]] = None, + accept_failures: bool = True, + initial_parameters: Optional[Parameters] = None, + fit_metrics_aggregation_fn: Optional[MetricsAggregationFn] = None, + evaluate_metrics_aggregation_fn: Optional[MetricsAggregationFn] = None, + dataset_name: str = "mnist", + attack_name: str = "not specified", + iid: bool = True, + malicious_clients: int = 0, + magnitude: float = 1.0, + threshold: float = 0.005, + warmup_rounds: int = 1, + to_keep: int = 1, + attack_fn: Optional[Callable], + window: int = 0, + maxiter: int = 100, + sampling: str = None, + alpha: float = 1, + beta: float = 1 + ) -> None: + """ + Parameters + ---------- + fraction_malicious : float, otional + Fraction of malicious clients. Defaults to 0. + """ + + super().__init__( + fraction_fit=fraction_fit, + fraction_evaluate = fraction_evaluate, + min_fit_clients = min_fit_clients, + min_evaluate_clients = min_evaluate_clients, + min_available_clients = min_available_clients, + evaluate_fn = evaluate_fn, + on_fit_config_fn = on_fit_config_fn, + on_evaluate_config_fn = on_evaluate_config_fn, + accept_failures = accept_failures, + initial_parameters = initial_parameters, + fit_metrics_aggregation_fn = fit_metrics_aggregation_fn, + evaluate_metrics_aggregation_fn = evaluate_metrics_aggregation_fn + ) + + + def aggregate_fit( + self, + server_round: int, + results: List[Tuple[ClientProxy, FitRes]], + failures: List[Union[Tuple[ClientProxy, FitRes], BaseException]], + clients_state: List[bool], + ) -> Tuple[Optional[Parameters], Dict[str, Scalar]]: + """ + Apply MAR forecasting to exclude malicious clients from the average. + + Parameters + ---------- + server_round : int + Current server round. + results : List[Tuple[ClientProxy, FitRes]] + List of results from the clients. + failures : List[Union[Tuple[ClientProxy, FitRes], BaseException]] + List of failures from the clients. + + Returns + ------- + parameters_aggregated: Optional[Parameters] + Aggregated parameters. + metrics_aggregated: Dict[str, Scalar] + Aggregated metrics. + """ + if server_round > 1: + win = self.window + if server_round < self.window: + win = server_round + M = load_all_time_series(dir="strategy/clients_params", window=win) + M = np.transpose(M, (0, 2, 1)) # (clients, params, time) + + + M_hat = M[:,:,-1].copy() + pred_step = 1 + + Mr = mar(M[:,:,:-1], pred_step, maxiter=self.maxiter, alpha=self.alpha, beta=self.beta) + + # TODO: generalize this to user-selected distance functions + delta = np.subtract(M_hat, Mr[:,:,0]) + anomaly_scores = np.sum(delta**2,axis=-1)**(1./2) + + good_clients_idx = sorted(np.argsort(anomaly_scores)[:self.to_keep]) + malicious_clients_idx = sorted(np.argsort(anomaly_scores)[self.to_keep:]) + results = np.array(results)[good_clients_idx].tolist() + + for idx in good_clients_idx: + if clients_state[idx]: + self.malicious_selected = True + break + else: + self.malicious_selected = False + + # Apply FedAvg for the remaining clients + parameters_aggregated, metrics_aggregated = super().aggregate_fit(server_round, results, failures) + + # For clients detected as malicious, set their parameters to be the averaged ones in their files + # otherwise the forecasting in next round won't be reliable + if self.warmup_rounds > server_round: + for idx in malicious_clients_idx: + if self.sampling > 0: + new_params = flatten_params(parameters_to_ndarrays(parameters_aggregated))[self.params_indexes] + else: + new_params = flatten_params(parameters_to_ndarrays(parameters_aggregated)) + save_params(new_params, idx, remove_last=True, rrl=True) + else: + # Apply FedAvg on the first round + parameters_aggregated, metrics_aggregated = super().aggregate_fit(server_round, results, failures) + + return parameters_aggregated, metrics_aggregated + +def mar(X, pred_step, alpha=1, beta=1, maxiter=100, window=0): + ''' + Code provided by Xinyu Chen at: + https://towardsdatascience.com/matrix-autoregressive-model-for-multidimensional-time-series-forecasting-6a4d7dce5143 + ''' + m, n, T = X.shape + start = 0 + if window > 0: + start = T - window + + A = np.random.randn(m, m) + B = np.random.randn(n, n) + X_norm = (X-np.min(X))/np.max(X) + + for it in range(maxiter): + temp0 = B.T @ B + temp1 = np.zeros((m, m)) + temp2 = np.zeros((m, m)) + identity_m = np.identity(m) + + for t in range(start, T): + temp1 += X_norm[:, :, t] @ B @ X_norm[:, :, t - 1].T + temp2 += X_norm[:, :, t - 1] @ temp0 @ X_norm[:, :, t - 1].T + + temp2 += (alpha * identity_m) + A = temp1 @ np.linalg.inv(temp2) + + temp0 = A.T @ A + temp1 = np.zeros((n, n)) + temp2 = np.zeros((n, n)) + identity_n = np.identity(n) + + for t in range(start, T): + temp1 += X_norm[:, :, t].T @ A @ X_norm[:, :, t - 1] + temp2 += X_norm[:, :, t - 1].T @ temp0 @ X_norm[:, :, t - 1] + + temp2 += (beta * identity_n) + B = temp1 @ np.linalg.inv(temp2) + + tensor = np.append(X, np.zeros((m, n, pred_step)), axis = 2) + for s in range(pred_step): + tensor[:, :, T + s] = A @ tensor[:, :, T + s - 1] @ B.T + return tensor[:, :, - pred_step :] diff --git a/baselines/flanders/flanders/utils.py b/baselines/flanders/flanders/utils.py new file mode 100644 index 000000000000..fffee0f125d3 --- /dev/null +++ b/baselines/flanders/flanders/utils.py @@ -0,0 +1,134 @@ +""" +Collection of help functions needed by the strategies. +""" + +import numpy as np +import os +import json +import pandas as pd +from natsort import natsorted +from typing import Dict, Optional, Tuple, List +from flwr.common import ( + Parameters, + Scalar, + parameters_to_ndarrays, +) +from threading import Lock + +lock = Lock() # if the script is run on multiple processors we need a lock to save the results + +def save_params(parameters, cid, remove_last=False, rrl=False): + """ + Args: + - parameters (ndarray): decoded parameters to append at the end of the file + - cid (int): identifier of the client + - remove_last (bool): if True, remove the last saved parameters and replace with "parameters" + - rrl (bool): if True, remove the last saved parameters and replace with the ones saved before this round + """ + new_params = parameters + # Save parameters in client_params/cid_params + path = f"strategy/clients_params/{cid}_params.npy" + if os.path.exists("strategy/clients_params") == False: + os.mkdir("strategy/clients_params") + if os.path.exists(path): + # load old parameters + old_params = np.load(path, allow_pickle=True) + if remove_last: + old_params = old_params[:-1] + if rrl: + new_params = old_params[-1] + # add new parameters + new_params = np.vstack((old_params, new_params)) + # save parameters + np.save(path, new_params) + + +def save_predicted_params(parameters, cid): + """ + Args: + - parameters (ndarray): decoded parameters to append at the end of the file + - cid (int): identifier of the client + """ + new_params = parameters + # Save parameters in client_params/cid_params + path = f"strategy/clients_predicted_params/{cid}_params.npy" + if os.path.exists("strategy/clients_predicted_params") == False: + os.mkdir("strategy/clients_predicted_params") + if os.path.exists(path): + # load old parameters + old_params = np.load(path, allow_pickle=True) + # add new parameters + new_params = np.vstack((old_params, new_params)) + # save parameters + np.save(path, new_params) + + +def save_results(loss, accuracy, config=None): + # Generate csv + config["accuracy"] = accuracy + config["loss"] = loss + df = pd.DataFrame.from_records([config]) + csv_path = "results/all_results.csv" + # check that dir exists + if os.path.exists("results") == False: + os.mkdir("results") + # Lock is needed when multiple clients are running concurrently + with lock: + if os.path.exists(csv_path): + df.to_csv(csv_path, mode="a", header=False, index=False) + else: + df.to_csv(csv_path, index=False, header=True) + + +def load_all_time_series(dir="", window=0): + """ + Load all time series in order to have a tensor of shape (m,T,n) + where: + - T := time; + - m := number of clients; + - n := number of parameters + """ + files = os.listdir(dir) + files = natsorted(files) + data = [] + for file in files: + data.append(np.load(os.path.join(dir, file), allow_pickle=True)) + return np.array(data)[:,-window:,:] + + +def load_time_series(dir="", cid=0): + """ + Load time series of client cid in order to have a matrix of shape (T,n) + where: + - T := time; + - n := number of parameters + """ + files = os.listdir(dir) + files.sort() + data = [] + for file in files: + if file == f"{cid}_params.npy": + data = np.load(os.path.join(dir, file), allow_pickle=True) + return np.array(data) + + +def flatten_params(params): + """ + Transform a list of (layers-)parameters into a single vector of shape (n). + """ + return np.concatenate(params, axis=None).ravel() + + +def evaluate_aggregated( + evaluate_fn, server_round: int, parameters: Parameters, config: Dict[str, Scalar] +) -> Optional[Tuple[float, Dict[str, Scalar]]]: + """Evaluate model parameters using an evaluation function.""" + if evaluate_fn is None: + # No evaluation function provided + return None + parameters_ndarrays = parameters_to_ndarrays(parameters) + eval_res = evaluate_fn(server_round, parameters_ndarrays, config) + if eval_res is None: + return None + loss, metrics = eval_res + return loss, metrics \ No newline at end of file diff --git a/baselines/flanders/pyproject.toml b/baselines/flanders/pyproject.toml new file mode 100644 index 000000000000..bc1b03a49460 --- /dev/null +++ b/baselines/flanders/pyproject.toml @@ -0,0 +1,137 @@ +[build-system] +requires = ["poetry-core>=1.4.0"] +build-backend = "poetry.masonry.api" + +[tool.poetry] +name = "flanders" # <----- Ensure it matches the name of your baseline directory containing all the source code +version = "1.0.0" +description = "Flower Baselines" +license = "Apache-2.0" +authors = ["The Flower Authors "] +readme = "README.md" +homepage = "https://flower.dev" +repository = "https://github.com/adap/flower" +documentation = "https://flower.dev" +classifiers = [ + "Development Status :: 3 - Alpha", + "Intended Audience :: Developers", + "Intended Audience :: Science/Research", + "License :: OSI Approved :: Apache Software License", + "Operating System :: MacOS :: MacOS X", + "Operating System :: POSIX :: Linux", + "Programming Language :: Python", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3 :: Only", + "Programming Language :: Python :: 3.8", + "Programming Language :: Python :: 3.9", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: Implementation :: CPython", + "Topic :: Scientific/Engineering", + "Topic :: Scientific/Engineering :: Artificial Intelligence", + "Topic :: Scientific/Engineering :: Mathematics", + "Topic :: Software Development", + "Topic :: Software Development :: Libraries", + "Topic :: Software Development :: Libraries :: Python Modules", + "Typing :: Typed", +] + +[tool.poetry.dependencies] +python = ">=3.8.15, <3.12.0" # don't change this +flwr = { extras = ["simulation"], version = "1.5.0" } +hydra-core = "1.3.2" # don't change this + +[tool.poetry.dev-dependencies] +isort = "==5.11.5" +black = "==23.1.0" +docformatter = "==1.5.1" +mypy = "==1.4.1" +pylint = "==2.8.2" +flake8 = "==3.9.2" +pytest = "==6.2.4" +pytest-watch = "==4.2.0" +ruff = "==0.0.272" +types-requests = "==2.27.7" + +[tool.isort] +line_length = 88 +indent = " " +multi_line_output = 3 +include_trailing_comma = true +force_grid_wrap = 0 +use_parentheses = true + +[tool.black] +line-length = 88 +target-version = ["py38", "py39", "py310", "py311"] + +[tool.pytest.ini_options] +minversion = "6.2" +addopts = "-qq" +testpaths = [ + "flwr_baselines", +] + +[tool.mypy] +ignore_missing_imports = true +strict = false +plugins = "numpy.typing.mypy_plugin" + +[tool.pylint."MESSAGES CONTROL"] +disable = "bad-continuation,duplicate-code,too-few-public-methods,useless-import-alias" +good-names = "i,j,k,_,x,y,X,Y" +signature-mutators="hydra.main.main" + +[tool.pylint.typecheck] +generated-members="numpy.*, torch.*, tensorflow.*" + +[[tool.mypy.overrides]] +module = [ + "importlib.metadata.*", + "importlib_metadata.*", +] +follow_imports = "skip" +follow_imports_for_stubs = true +disallow_untyped_calls = false + +[[tool.mypy.overrides]] +module = "torch.*" +follow_imports = "skip" +follow_imports_for_stubs = true + +[tool.docformatter] +wrap-summaries = 88 +wrap-descriptions = 88 + +[tool.ruff] +target-version = "py38" +line-length = 88 +select = ["D", "E", "F", "W", "B", "ISC", "C4"] +fixable = ["D", "E", "F", "W", "B", "ISC", "C4"] +ignore = ["B024", "B027"] +exclude = [ + ".bzr", + ".direnv", + ".eggs", + ".git", + ".hg", + ".mypy_cache", + ".nox", + ".pants.d", + ".pytype", + ".ruff_cache", + ".svn", + ".tox", + ".venv", + "__pypackages__", + "_build", + "buck-out", + "build", + "dist", + "node_modules", + "venv", + "proto", +] + +[tool.ruff.pydocstyle] +convention = "numpy" From 8221929bb0be104470d973166516cda7cbe6ae10 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Mon, 20 Nov 2023 18:48:40 +0100 Subject: [PATCH 02/91] Write draft of README --- baselines/flanders/README.md | 59 +++++++++++++++++++------ baselines/flanders/flanders/strategy.py | 3 -- 2 files changed, 45 insertions(+), 17 deletions(-) diff --git a/baselines/flanders/README.md b/baselines/flanders/README.md index 682952717426..284e3bfb63c9 100644 --- a/baselines/flanders/README.md +++ b/baselines/flanders/README.md @@ -1,8 +1,8 @@ --- -title: title of the paper -url: URL to the paper page (not the pdf) -labels: [label1, label2] # please add between 4 and 10 single-word (maybe two-words) labels (e.g. "system heterogeneity", "image classification", "asynchronous", "weight sharing", "cross-silo") -dataset: [dataset1, dataset2] # list of datasets you include in your baseline +title: A Byzantine-Resilient Aggregation Scheme for Federated Learning via Matrix Autoregression on Client Updates +url: https://arxiv.org/abs/2303.16668 +labels: [robustness, cross-silo, model poisoning, anomaly detection, autoregressive model] # please add between 4 and 10 single-word (maybe two-words) labels (e.g. "system heterogeneity", "image classification", "asynchronous", "weight sharing", "cross-silo") +dataset: [MNIST, Income, California Housing] # list of datasets you include in your baseline --- # :warning:*_Title of your baseline_* @@ -15,34 +15,65 @@ dataset: [dataset1, dataset2] # list of datasets you include in your baseline > :warning: Please complete the metadata section at the very top of this README. This generates a table at the top of the file that will facilitate indexing baselines. -****Paper:**** :warning: *_add the URL of the paper page (not to the .pdf). For instance if you link a paper on ArXiv, add here the URL to the abstract page (e.g. https://arxiv.org/abs/1512.03385). If your paper is in from a journal or conference proceedings, please follow the same logic._* +****Paper:**** https://arxiv.org/abs/2303.16668 -****Authors:**** :warning: *_list authors of the paper_* +****Authors:**** Gabriele Tolomei, Edoardo Gabrielli, Dimitri Belli, Vittorio Miori -****Abstract:**** :warning: *_add here the abstract of the paper you are implementing_* +****Abstract:**** In this work, we propose FLANDERS, a novel federated learning (FL) aggregation scheme robust to Byzantine attacks. FLANDERS considers the local model updates sent by clients at each FL round as a matrix-valued time series. Then, it identifies malicious clients as outliers of this time series by comparing actual observations with those estimated by a matrix autoregressive forecasting model. Experiments conducted on several datasets under different FL settings demonstrate that FLANDERS matches the robustness of the most powerful baselines against Byzantine clients. Furthermore, FLANDERS remains highly effective even under extremely severe attack scenarios, as opposed to existing defense strategies. ## About this baseline ****What’s implemented:**** :warning: *_Concisely describe what experiment(s) in the publication can be replicated by running the code. Please only use a few sentences. Start with: “The code in this directory …”_* -****Datasets:**** :warning: *_List the datasets you used (if you used a medium to large dataset, >10GB please also include the sizes of the dataset)._* +****Datasets:**** MNIST, Income, California Housing -****Hardware Setup:**** :warning: *_Give some details about the hardware (e.g. a server with 8x V100 32GB and 256GB of RAM) you used to run the experiments for this baseline. Someone out there might not have access to the same resources you have so, could list the absolute minimum hardware needed to run the experiment in a reasonable amount of time ? (e.g. minimum is 1x 16GB GPU otherwise a client model can’t be trained with a sufficiently large batch size). Could you test this works too?_* +****Hardware Setup:**** Apple M2 Pro, 16gb RAM -****Contributors:**** :warning: *_let the world know who contributed to this baseline. This could be either your name, your name and affiliation at the time, or your GitHub profile name if you prefer. If multiple contributors signed up for this baseline, please list yourself and your colleagues_* +****Contributors:**** Edoardo Gabrielli, University of Rome "La Sapienza" ## Experimental Setup -****Task:**** :warning: *_what’s the primary task that is being federated? (e.g. image classification, next-word prediction). If you have experiments for several, please list them_* +****Task:**** Image classification, logistic regression, linear regression -****Model:**** :warning: *_provide details about the model you used in your experiments (if more than use a list). If your model is small, describing it as a table would be :100:. Some FL methods do not use an off-the-shelve model (e.g. ResNet18) instead they create your own. If this is your case, please provide a summary here and give pointers to where in the paper (e.g. Appendix B.4) is detailed._* +****Models:**** Appendix C of the paper describe the models, but here's a summary. -****Dataset:**** :warning: *_Earlier you listed already the datasets that your baseline uses. Now you should include a breakdown of the details about each of them. Please include information about: how the dataset is partitioned (e.g. LDA with alpha 0.1 as default and all clients have the same number of training examples; or each client gets assigned a different number of samples following a power-law distribution with each client only instances of 2 classes)? if your dataset is naturally partitioned just state “naturally partitioned”; how many partitions there are (i.e. how many clients)? Please include this an all information relevant about the dataset and its partitioning into a table._* +Income (binary classification): +- cyclic coordinate descent (CCD) +- L1-regularized binary cross-entropy loss (LASSO) -****Training Hyperparameters:**** :warning: *_Include a table with all the main hyperparameters in your baseline. Please show them with their default value._* +MNIST (multilabel classification, fully connected, feed forward NN): +- Multilevel Perceptron (MLP) +- minimizing multiclass cross-entropy loss using Adam optimizer +- input: 784 +- hidden layer 1: 128 +- hidden layer 2: 256 +- dropout: 0.2 +California Housing (linear regression): +- cyclic coordinate descent (CCD) +- L1/L2-regularized mean squared error (LASSO/RIDGE) + + +****Dataset:**** Every dataset is partitioned into two disjoint sets: 80% for training and 20% for testing. The training set is distributed uniformly across all clients (100), while the testing set is held by the server to evaluate the global model. + +| Description | Default Value | +| ----------- | ----- | +| Partitions | 100 | +| Evaluation | centralized | +| Training set | 80% | +| Testing set | 20% | + +****Training Hyperparameters:**** + +| Dataset | # of clients | Clients per round | # of rounds | Batch size | Learning rate | $\lambda_1$ | $\lambda_2$ | Optimizer | Dropout | Alpha | Beta | # of clients to keep | Sampling | +| -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | +| Income | 100 | 100 | 100 | \ | \ | 1.0 | 0.0 | CCD | \ | 0.0 | 0.0 | 1 | \ | +| MNIST | 100 | 100 | 100 | 32 | $10^-3$ | \ | \ | Adam | 0.2 | 0.0 | 0.0 | 1 | \ | +| California Housing | 100 | 100 | 100 | \ | \ | 0.5 | 0.5 | CCD | \ | 0.0 | 0.0 | 1 | \ | + +TODO: Might add CIFAR-10. ## Environment Setup diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index 0a68b3d0929f..cb8c49b32843 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -56,9 +56,6 @@ def __init__( dataset_name: str = "mnist", attack_name: str = "not specified", iid: bool = True, - malicious_clients: int = 0, - magnitude: float = 1.0, - threshold: float = 0.005, warmup_rounds: int = 1, to_keep: int = 1, attack_fn: Optional[Callable], From 743d8c7861afbfe42d23a81daa4133b17aa1c923 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Mon, 20 Nov 2023 18:54:52 +0100 Subject: [PATCH 03/91] Update README --- baselines/flanders/README.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/baselines/flanders/README.md b/baselines/flanders/README.md index 284e3bfb63c9..1c5c8479ca26 100644 --- a/baselines/flanders/README.md +++ b/baselines/flanders/README.md @@ -49,7 +49,6 @@ MNIST (multilabel classification, fully connected, feed forward NN): - input: 784 - hidden layer 1: 128 - hidden layer 2: 256 -- dropout: 0.2 California Housing (linear regression): - cyclic coordinate descent (CCD) @@ -70,9 +69,11 @@ California Housing (linear regression): | Dataset | # of clients | Clients per round | # of rounds | Batch size | Learning rate | $\lambda_1$ | $\lambda_2$ | Optimizer | Dropout | Alpha | Beta | # of clients to keep | Sampling | | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | | Income | 100 | 100 | 100 | \ | \ | 1.0 | 0.0 | CCD | \ | 0.0 | 0.0 | 1 | \ | -| MNIST | 100 | 100 | 100 | 32 | $10^-3$ | \ | \ | Adam | 0.2 | 0.0 | 0.0 | 1 | \ | +| MNIST | 100 | 100 | 100 | 32 | $10^{-3}$ | \ | \ | Adam | 0.2 | 0.0 | 0.0 | 1 | \ | | California Housing | 100 | 100 | 100 | \ | \ | 0.5 | 0.5 | CCD | \ | 0.0 | 0.0 | 1 | \ | +Where $\lambda_1$ and $\lambda_2$ are Lasso and Ridge regularization terms. + TODO: Might add CIFAR-10. ## Environment Setup From 9b2c6b45287a1f4fa3aa4e4f969d9b1c1401e2e3 Mon Sep 17 00:00:00 2001 From: Edoardo Gabrielli Date: Tue, 21 Nov 2023 12:28:13 +0100 Subject: [PATCH 04/91] Update baselines/flanders/pyproject.toml Co-authored-by: Javier --- baselines/flanders/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/baselines/flanders/pyproject.toml b/baselines/flanders/pyproject.toml index bc1b03a49460..1cccf51e44a0 100644 --- a/baselines/flanders/pyproject.toml +++ b/baselines/flanders/pyproject.toml @@ -52,7 +52,7 @@ pytest = "==6.2.4" pytest-watch = "==4.2.0" ruff = "==0.0.272" types-requests = "==2.27.7" - +virtualenv = "20.21.0" [tool.isort] line_length = 88 indent = " " From 593a63b7f79d3d563b882dc61cf4de1153f41ee0 Mon Sep 17 00:00:00 2001 From: Edoardo Gabrielli Date: Tue, 21 Nov 2023 12:28:31 +0100 Subject: [PATCH 05/91] Update baselines/flanders/pyproject.toml Co-authored-by: Javier --- baselines/flanders/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/baselines/flanders/pyproject.toml b/baselines/flanders/pyproject.toml index 1cccf51e44a0..c51b743105b3 100644 --- a/baselines/flanders/pyproject.toml +++ b/baselines/flanders/pyproject.toml @@ -5,7 +5,7 @@ build-backend = "poetry.masonry.api" [tool.poetry] name = "flanders" # <----- Ensure it matches the name of your baseline directory containing all the source code version = "1.0.0" -description = "Flower Baselines" +description = "FLANDERS" license = "Apache-2.0" authors = ["The Flower Authors "] readme = "README.md" From 556d97cfd81f089d9a5b2f1a860072ae750aeeac Mon Sep 17 00:00:00 2001 From: edogab33 Date: Tue, 21 Nov 2023 17:59:36 +0100 Subject: [PATCH 06/91] Fix .toml, environment and imports --- baselines/flanders/flanders/client.py | 4 +- baselines/flanders/flanders/dataset.py | 341 +++++++- .../flanders/flanders/dataset_preparation.py | 755 +++++++++++------- baselines/flanders/flanders/main.py | 32 +- baselines/flanders/flanders/strategy.py | 2 +- .../2023-11-21/17-59-00/.hydra/config.yaml | 5 + .../2023-11-21/17-59-00/.hydra/hydra.yaml | 154 ++++ .../2023-11-21/17-59-00/.hydra/overrides.yaml | 1 + baselines/flanders/pyproject.toml | 14 +- 9 files changed, 971 insertions(+), 337 deletions(-) create mode 100644 baselines/flanders/outputs/2023-11-21/17-59-00/.hydra/config.yaml create mode 100644 baselines/flanders/outputs/2023-11-21/17-59-00/.hydra/hydra.yaml create mode 100644 baselines/flanders/outputs/2023-11-21/17-59-00/.hydra/overrides.yaml diff --git a/baselines/flanders/flanders/client.py b/baselines/flanders/flanders/client.py index 313381e4256b..d01b23fc4606 100644 --- a/baselines/flanders/flanders/client.py +++ b/baselines/flanders/flanders/client.py @@ -12,8 +12,8 @@ from collections import OrderedDict from typing import Dict, List, Union, Tuple from pathlib import Path -from neural_networks.dataset_utils import get_mnist, do_fl_partitioning, get_dataloader, get_circles -from neural_networks.neural_networks import CifarNet, train_cifar, test_cifar, MnistNet, ToyNN, test_toy, train_mnist, test_mnist, train_toy +from .dataset import get_mnist, do_fl_partitioning, get_circles +from .models import CifarNet, train_cifar, test_cifar, MnistNet, ToyNN, test_toy, train_mnist, test_mnist, train_toy from sklearn.linear_model import LogisticRegression, LinearRegression, Ridge, Lasso, ElasticNet from sklearn.metrics import accuracy_score, log_loss diff --git a/baselines/flanders/flanders/dataset.py b/baselines/flanders/flanders/dataset.py index 5e436abe12fb..859861af90f2 100644 --- a/baselines/flanders/flanders/dataset.py +++ b/baselines/flanders/flanders/dataset.py @@ -1,10 +1,331 @@ -"""Handle basic dataset creation. - -In case of PyTorch it should return dataloaders for your dataset (for both the clients -and the server). If you are using a custom dataset class, this module is the place to -define it. If your dataset requires to be downloaded (and this is not done -automatically -- e.g. as it is the case for many dataset in TorchVision) and -partitioned, please include all those functions and logic in the -`dataset_preparation.py` module. You can use all those functions from functions/methods -defined here of course. -""" +# Borrowed from adap/Flower examples + +from pathlib import Path +import numpy as np +import pandas as pd +import torch +from torchvision import datasets, transforms +from torch.utils.data import DataLoader, SubsetRandomSampler +import shutil +from PIL import Image +from torchvision.datasets import VisionDataset +from typing import Callable, Optional, Tuple, Any +from .dataset_preparation import create_lda_partitions +from sklearn.datasets import make_circles +from sklearn.preprocessing import OrdinalEncoder +from sklearn.preprocessing import StandardScaler +from sklearn.model_selection import train_test_split +from sklearn import preprocessing +from sklearn.utils import check_random_state + +class Data(torch.utils.data.Dataset): + def __init__(self, X, y): + self.X = torch.from_numpy(X.astype(np.float32)) + self.y = torch.from_numpy(y.astype(np.float32)) + self.len = self.X.shape[0] + + def __getitem__(self, index): + return self.X[index], self.y[index] + + def __len__(self): + return self.len + +def get_dataset(path_to_data: Path, cid: str, partition: str): + + # generate path to cid's data + path_to_data = path_to_data / cid / (partition + ".pt") + + return TorchVision_FL(path_to_data, transform=cifar10Transformation()) + + +def get_random_id_splits(total: int, val_ratio: float, shuffle: bool = True): + """splits a list of length `total` into two following a + (1-val_ratio):val_ratio partitioning. + + By default the indices are shuffled before creating the split and + returning. + """ + + if isinstance(total, int): + indices = list(range(total)) + else: + indices = total + + split = int(np.floor(val_ratio * len(indices))) + # print(f"Users left out for validation (ratio={val_ratio}) = {split} ") + if shuffle: + np.random.shuffle(indices) + return indices[split:], indices[:split] + + +def do_fl_partitioning(path_to_dataset, pool_size, alpha, num_classes, val_ratio=0.0, seed=None): + """Torchvision (e.g. CIFAR-10) datasets using LDA.""" + + images, labels = torch.load(path_to_dataset) + idx = np.array(range(len(images))) + dataset = [idx, labels] + partitions, _ = create_lda_partitions( + dataset, num_partitions=pool_size, concentration=alpha, accept_imbalanced=True, seed=seed + ) + + # Show label distribution for first partition (purely informative) + partition_zero = partitions[0][1] + hist, _ = np.histogram(partition_zero, bins=list(range(num_classes + 1))) + print( + f"Class histogram for 0-th partition (alpha={alpha}, {num_classes} classes): {hist}" + ) + + # now save partitioned dataset to disk + # first delete dir containing splits (if exists), then create it + splits_dir = path_to_dataset.parent / "federated" + if splits_dir.exists(): + shutil.rmtree(splits_dir) + Path.mkdir(splits_dir, parents=True) + + for p in range(pool_size): + + labels = partitions[p][1] + image_idx = partitions[p][0] + imgs = images[image_idx] + + # create dir + Path.mkdir(splits_dir / str(p)) + + if val_ratio > 0.0: + # split data according to val_ratio + train_idx, val_idx = get_random_id_splits(len(labels), val_ratio) + val_imgs = imgs[val_idx] + val_labels = labels[val_idx] + + with open(splits_dir / str(p) / "val.pt", "wb") as f: + torch.save([val_imgs, val_labels], f) + + # remaining images for training + imgs = imgs[train_idx] + labels = labels[train_idx] + + with open(splits_dir / str(p) / "train.pt", "wb") as f: + torch.save([imgs, labels], f) + + return splits_dir + + +def cifar10Transformation(): + + return transforms.Compose( + [ + transforms.ToTensor(), + transforms.Normalize((0.4914, 0.4822, 0.4465), (0.2023, 0.1994, 0.2010)), + ] + ) + + +class TorchVision_FL(VisionDataset): + """This is just a trimmed down version of torchvision.datasets.MNIST. + + Use this class by either passing a path to a torch file (.pt) + containing (data, targets) or pass the data, targets directly + instead. + """ + + def __init__( + self, + path_to_data=None, + data=None, + targets=None, + transform: Optional[Callable] = None, + ) -> None: + path = path_to_data.parent if path_to_data else None + super(TorchVision_FL, self).__init__(path, transform=transform) + self.transform = transform + + if path_to_data: + # load data and targets (path_to_data points to an specific .pt file) + self.data, self.targets = torch.load(path_to_data) + else: + self.data = data + self.targets = targets + + def __getitem__(self, index: int) -> Tuple[Any, Any]: + img, target = self.data[index], int(self.targets[index]) + + # doing this so that it is consistent with all other datasets + # to return a PIL Image + if not isinstance(img, Image.Image): # if not PIL image + if not isinstance(img, np.ndarray): # if torch tensor + img = img.numpy() + + img = Image.fromarray(img) + + if self.transform is not None: + img = self.transform(img) + + if self.target_transform is not None: + target = self.target_transform(target) + + return img, target + + def __len__(self) -> int: + return len(self.data) + + +def get_cifar_10(path_to_data="datasets/cifar_nn/data"): + """Downloads CIFAR10 dataset and generates a unified training set (it will + be partitioned later using the LDA partitioning mechanism.""" + + # download dataset and load train set + train_set = datasets.CIFAR10(root=path_to_data, train=True, download=True) + + # fuse all data splits into a single "training.pt" + data_loc = Path(path_to_data) / "cifar-10-batches-py" + training_data = data_loc / "training.pt" + print("Generating unified CIFAR dataset") + torch.save([train_set.data, np.array(train_set.targets)], training_data) + + test_set = datasets.CIFAR10( + root=path_to_data, train=False, transform=cifar10Transformation() + ) + + # returns path where training data is and testset + return training_data, test_set + +def get_mnist( + data_root: str, + batch_size: int, + cid: int, + workers=1, + nb_clients=10, + is_train=True, +): + """Helper function that loads both training and test datasets for MNIST. + Parameters + ---------- + data_root: str + Directory where MNIST dataset will be stored. + train_batch_size: int + Mini-batch size for training set. + test_batch_size: int + Mini-batch size for test set. + cid: int + Client ID used to select a specific partition. + nb_clients: int + Total number of clients launched during training. This value dictates the number of unique to be created. + Returns + ------- + (train_loader, test_loader): Tuple[DataLoader, DataLoader] + Tuple contaning DataLoaders for training and test sets. + """ + + transform = transforms.Compose( + [transforms.ToTensor(), transforms.Normalize((0.1307,), (0.3081,))] + ) + if is_train: + dataset = datasets.MNIST( + data_root, train=True, download=True, transform=transform + ) + else: + dataset = datasets.MNIST(data_root, train=False, transform=transform) + + loader = dataset_partitioner( + dataset=dataset, + batch_size=batch_size, + client_id=cid, + number_of_clients=nb_clients, + workers=workers, + ) + + return loader + +def get_circles( + batch_size: int, + n_samples: int = 1000, + workers=1, + is_train=True +): + # Create a dataset with 10,000 samples. + X, y = make_circles(n_samples = n_samples, + noise= 0.05, + random_state=26) + if is_train: + X_train, _, y_train, _ = train_test_split(X, y, test_size=.33) + # Instantiate training and test data + train_data = Data(X_train, y_train) + dataloader = DataLoader(dataset=train_data, batch_size=batch_size, shuffle=True, num_workers=workers) + else: + _, X_test, _, y_test = train_test_split(X, y, test_size=.33) + # Instantiate training and test data + test_data = Data(X_test, y_test) + dataloader = DataLoader(dataset=test_data, batch_size=batch_size, shuffle=True, num_workers=workers) + return dataloader + + +def dataset_partitioner( + dataset: torch.utils.data.Dataset, + batch_size: int, + client_id: int, + number_of_clients: int, + workers: int = 1, +) -> torch.utils.data.DataLoader: + """Helper function to partition datasets + Parameters + ---------- + dataset: torch.utils.data.Dataset + Dataset to be partitioned into *number_of_clients* subsets. + batch_size: int + Size of mini-batches used by the returned DataLoader. + client_id: int + Unique integer used for selecting a specific partition. + number_of_clients: int + Total number of clients launched during training. This value dictates the number of partitions to be created. + Returns + ------- + data_loader: torch.utils.data.Dataset + DataLoader for specific client_id considering number_of_clients partitions. + """ + + # Set the seed so we are sure to generate the same global batches + # indices across all clients + np.random.seed(123) + + # Get the data corresponding to this client + dataset_size = len(dataset) + nb_samples_per_clients = dataset_size // number_of_clients + dataset_indices = list(range(dataset_size)) + np.random.shuffle(dataset_indices) + + # Get starting and ending indices w.r.t CLIENT_ID + start_ind = int(client_id) * nb_samples_per_clients + end_ind = start_ind + nb_samples_per_clients + data_sampler = SubsetRandomSampler(dataset_indices[start_ind:end_ind]) + data_loader = torch.utils.data.DataLoader( + dataset, batch_size=batch_size, shuffle=False, sampler=data_sampler, num_workers=workers + ) + return data_loader + +def get_partitioned_income(path: str, pool_size: int, train_size=0.8, test_size=0.2): + data=pd.read_csv(path) + copy=data + encoder=OrdinalEncoder() + encoded_values=encoder.fit_transform(data) + data=pd.DataFrame(data=encoded_values, columns=copy.columns) + Y=data["income"] + data=data.loc[:,data.columns!="income"] + + X_train, X_test, y_train, y_test = [], [], [], [] + train_size = int((len(data) * train_size) // pool_size)+2 + test_size = int((len(data) * test_size) // pool_size)-2 + for i in range(pool_size): + xtrain, xtest, ytrain, ytest = train_test_split( + data, Y, + train_size=train_size, + test_size=test_size, + random_state=i, + shuffle=True, + stratify=Y + ) + X_train.append(xtrain) + X_test.append(xtest) + y_train.append(ytrain) + y_test.append(ytest) + + return X_train, X_test, y_train, y_test \ No newline at end of file diff --git a/baselines/flanders/flanders/dataset_preparation.py b/baselines/flanders/flanders/dataset_preparation.py index 351b4a6667cb..9eed45a2c08f 100644 --- a/baselines/flanders/flanders/dataset_preparation.py +++ b/baselines/flanders/flanders/dataset_preparation.py @@ -1,358 +1,511 @@ -# Borrowed from adap/Flower examples +# Copyright 2020 Adap GmbH. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# ============================================================================== +"""Commonly used functions for generating partitioned datasets.""" + +# pylint: disable=invalid-name + +from typing import List, Optional, Tuple, Union -from pathlib import Path import numpy as np -import pandas as pd -import torch -from torchvision import datasets, transforms -from torch.utils.data import DataLoader, SubsetRandomSampler -import shutil -from PIL import Image -from torchvision.datasets import VisionDataset -from typing import Callable, Optional, Tuple, Any -from neural_networks.common import create_lda_partitions -from sklearn.datasets import make_circles -from sklearn.preprocessing import OrdinalEncoder -from sklearn.preprocessing import StandardScaler -from sklearn.model_selection import train_test_split -from sklearn import preprocessing -from sklearn.utils import check_random_state - -class Data(torch.utils.data.Dataset): - def __init__(self, X, y): - self.X = torch.from_numpy(X.astype(np.float32)) - self.y = torch.from_numpy(y.astype(np.float32)) - self.len = self.X.shape[0] - - def __getitem__(self, index): - return self.X[index], self.y[index] - - def __len__(self): - return self.len - -def get_dataset(path_to_data: Path, cid: str, partition: str): - - # generate path to cid's data - path_to_data = path_to_data / cid / (partition + ".pt") - - return TorchVision_FL(path_to_data, transform=cifar10Transformation()) - - -def get_random_id_splits(total: int, val_ratio: float, shuffle: bool = True): - """splits a list of length `total` into two following a - (1-val_ratio):val_ratio partitioning. - - By default the indices are shuffled before creating the split and - returning. +from numpy.random import BitGenerator, Generator, SeedSequence + +XY = Tuple[np.ndarray, np.ndarray] +XYList = List[XY] +PartitionedDataset = Tuple[XYList, XYList] + +def get_partitioned_house(path: str, pool_size: int, train_size=0.8, test_size=0.2): + data = pd.read_csv(path) + Y = data['median_house_value'].values + data = data.drop(['median_house_value'] , axis = 1).values + + X_train, X_test, y_train, y_test = [], [], [], [] + train_size = int((len(data) * train_size) // pool_size)+2 + test_size = int((len(data) * test_size) // pool_size)-2 + for i in range(pool_size): + xtrain, xtest, ytrain, ytest = train_test_split( + data, Y, + train_size=train_size, + test_size=test_size, + random_state=i, + shuffle=True + ) + sd = preprocessing.RobustScaler() + xtrain = sd.fit_transform(xtrain) + xtest = sd.fit_transform(xtest) + + X_train.append(xtrain) + X_test.append(xtest) + y_train.append(ytrain) + y_test.append(ytest) + + return X_train, X_test, y_train, y_test + +def float_to_int(i: float) -> int: + """Return float as int but raise if decimal is dropped.""" + if not i.is_integer(): + raise Exception("Cast would drop decimals") + + return int(i) + + +def sort_by_label(x: np.ndarray, y: np.ndarray) -> XY: + """Sort by label. + + Assuming two labels and four examples the resulting label order + would be 1,1,2,2 """ + idx = np.argsort(y, axis=0).reshape((y.shape[0])) + return (x[idx], y[idx]) - if isinstance(total, int): - indices = list(range(total)) - else: - indices = total - split = int(np.floor(val_ratio * len(indices))) - # print(f"Users left out for validation (ratio={val_ratio}) = {split} ") - if shuffle: - np.random.shuffle(indices) - return indices[split:], indices[:split] +def sort_by_label_repeating(x: np.ndarray, y: np.ndarray) -> XY: + """Sort by label in repeating groups. Assuming two labels and four examples + the resulting label order would be 1,2,1,2. + Create sorting index which is applied to by label sorted x, y -def do_fl_partitioning(path_to_dataset, pool_size, alpha, num_classes, val_ratio=0.0, seed=None): - """Torchvision (e.g. CIFAR-10) datasets using LDA.""" + .. code-block:: python - images, labels = torch.load(path_to_dataset) - idx = np.array(range(len(images))) - dataset = [idx, labels] - partitions, _ = create_lda_partitions( - dataset, num_partitions=pool_size, concentration=alpha, accept_imbalanced=True, seed=seed - ) + # given: + y = [ + 0, 0, 1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 6, 6, 7, 7, 8, 8, 9, 9 + ] + + # use: + idx = [ + 0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 1, 3, 5, 7, 9, 11, 13, 15, 17, 19 + ] - # Show label distribution for first partition (purely informative) - partition_zero = partitions[0][1] - hist, _ = np.histogram(partition_zero, bins=list(range(num_classes + 1))) - print( - f"Class histogram for 0-th partition (alpha={alpha}, {num_classes} classes): {hist}" + # so that y[idx] becomes: + y = [ + 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 + ] + """ + x, y = sort_by_label(x, y) + + num_example = x.shape[0] + num_class = np.unique(y).shape[0] + idx = ( + np.array(range(num_example), np.int64) + .reshape((num_class, num_example // num_class)) + .transpose() + .reshape(num_example) ) - # now save partitioned dataset to disk - # first delete dir containing splits (if exists), then create it - splits_dir = path_to_dataset.parent / "federated" - if splits_dir.exists(): - shutil.rmtree(splits_dir) - Path.mkdir(splits_dir, parents=True) + return (x[idx], y[idx]) - for p in range(pool_size): - labels = partitions[p][1] - image_idx = partitions[p][0] - imgs = images[image_idx] +def split_at_fraction(x: np.ndarray, y: np.ndarray, fraction: float) -> Tuple[XY, XY]: + """Split x, y at a certain fraction.""" + splitting_index = float_to_int(x.shape[0] * fraction) + # Take everything BEFORE splitting_index + x_0, y_0 = x[:splitting_index], y[:splitting_index] + # Take everything AFTER splitting_index + x_1, y_1 = x[splitting_index:], y[splitting_index:] + return (x_0, y_0), (x_1, y_1) - # create dir - Path.mkdir(splits_dir / str(p)) - if val_ratio > 0.0: - # split data according to val_ratio - train_idx, val_idx = get_random_id_splits(len(labels), val_ratio) - val_imgs = imgs[val_idx] - val_labels = labels[val_idx] +def shuffle(x: np.ndarray, y: np.ndarray) -> XY: + """Shuffle x and y.""" + idx = np.random.permutation(len(x)) + return x[idx], y[idx] - with open(splits_dir / str(p) / "val.pt", "wb") as f: - torch.save([val_imgs, val_labels], f) - # remaining images for training - imgs = imgs[train_idx] - labels = labels[train_idx] +def partition(x: np.ndarray, y: np.ndarray, num_partitions: int) -> List[XY]: + """Return x, y as list of partitions.""" + return list(zip(np.split(x, num_partitions), np.split(y, num_partitions))) - with open(splits_dir / str(p) / "train.pt", "wb") as f: - torch.save([imgs, labels], f) - return splits_dir +def combine_partitions(xy_list_0: XYList, xy_list_1: XYList) -> XYList: + """Combine two lists of ndarray Tuples into one list.""" + return [ + (np.concatenate([x_0, x_1], axis=0), np.concatenate([y_0, y_1], axis=0)) + for (x_0, y_0), (x_1, y_1) in zip(xy_list_0, xy_list_1) + ] -def cifar10Transformation(): +def shift(x: np.ndarray, y: np.ndarray) -> XY: + """Shift x_1, y_1 so that the first half contains only labels 0 to 4 and + the second half 5 to 9.""" + x, y = sort_by_label(x, y) - return transforms.Compose( - [ - transforms.ToTensor(), - transforms.Normalize((0.4914, 0.4822, 0.4465), (0.2023, 0.1994, 0.2010)), - ] - ) + (x_0, y_0), (x_1, y_1) = split_at_fraction(x, y, fraction=0.5) + (x_0, y_0), (x_1, y_1) = shuffle(x_0, y_0), shuffle(x_1, y_1) + x, y = np.concatenate([x_0, x_1], axis=0), np.concatenate([y_0, y_1], axis=0) + return x, y -class TorchVision_FL(VisionDataset): - """This is just a trimmed down version of torchvision.datasets.MNIST. +def create_partitions( + unpartitioned_dataset: XY, + iid_fraction: float, + num_partitions: int, +) -> XYList: + """Create partitioned version of a training or test set. - Use this class by either passing a path to a torch file (.pt) - containing (data, targets) or pass the data, targets directly - instead. + Currently tested and supported are MNIST, FashionMNIST and + CIFAR-10/100 """ + x, y = unpartitioned_dataset + + x, y = shuffle(x, y) + x, y = sort_by_label_repeating(x, y) + + (x_0, y_0), (x_1, y_1) = split_at_fraction(x, y, fraction=iid_fraction) + + # Shift in second split of dataset the classes into two groups + x_1, y_1 = shift(x_1, y_1) - def __init__( - self, - path_to_data=None, - data=None, - targets=None, - transform: Optional[Callable] = None, - ) -> None: - path = path_to_data.parent if path_to_data else None - super(TorchVision_FL, self).__init__(path, transform=transform) - self.transform = transform + xy_0_partitions = partition(x_0, y_0, num_partitions) + xy_1_partitions = partition(x_1, y_1, num_partitions) - if path_to_data: - # load data and targets (path_to_data points to an specific .pt file) - self.data, self.targets = torch.load(path_to_data) - else: - self.data = data - self.targets = targets + xy_partitions = combine_partitions(xy_0_partitions, xy_1_partitions) - def __getitem__(self, index: int) -> Tuple[Any, Any]: - img, target = self.data[index], int(self.targets[index]) + # Adjust x and y shape + return [adjust_xy_shape(xy) for xy in xy_partitions] - # doing this so that it is consistent with all other datasets - # to return a PIL Image - if not isinstance(img, Image.Image): # if not PIL image - if not isinstance(img, np.ndarray): # if torch tensor - img = img.numpy() - img = Image.fromarray(img) +def create_partitioned_dataset( + keras_dataset: Tuple[XY, XY], + iid_fraction: float, + num_partitions: int, +) -> Tuple[PartitionedDataset, XY]: + """Create partitioned version of keras dataset. - if self.transform is not None: - img = self.transform(img) + Currently tested and supported are MNIST, FashionMNIST and + CIFAR-10/100 + """ + xy_train, xy_test = keras_dataset - if self.target_transform is not None: - target = self.target_transform(target) + xy_train_partitions = create_partitions( + unpartitioned_dataset=xy_train, + iid_fraction=iid_fraction, + num_partitions=num_partitions, + ) - return img, target + xy_test_partitions = create_partitions( + unpartitioned_dataset=xy_test, + iid_fraction=iid_fraction, + num_partitions=num_partitions, + ) - def __len__(self) -> int: - return len(self.data) + return (xy_train_partitions, xy_test_partitions), adjust_xy_shape(xy_test) -def get_cifar_10(path_to_data="datasets/cifar_nn/data"): - """Downloads CIFAR10 dataset and generates a unified training set (it will - be partitioned later using the LDA partitioning mechanism.""" +def log_distribution(xy_partitions: XYList) -> None: + """Print label distribution for list of paritions.""" + distro = [np.unique(y, return_counts=True) for _, y in xy_partitions] + for d in distro: + print(d) - # download dataset and load train set - train_set = datasets.CIFAR10(root=path_to_data, train=True, download=True) - # fuse all data splits into a single "training.pt" - data_loc = Path(path_to_data) / "cifar-10-batches-py" - training_data = data_loc / "training.pt" - print("Generating unified CIFAR dataset") - torch.save([train_set.data, np.array(train_set.targets)], training_data) +def adjust_xy_shape(xy: XY) -> XY: + """Adjust shape of both x and y.""" + x, y = xy + if x.ndim == 3: + x = adjust_x_shape(x) + if y.ndim == 2: + y = adjust_y_shape(y) + return (x, y) - test_set = datasets.CIFAR10( - root=path_to_data, train=False, transform=cifar10Transformation() - ) - # returns path where training data is and testset - return training_data, test_set - -def get_mnist( - data_root: str, - batch_size: int, - cid: int, - workers=1, - nb_clients=10, - is_train=True, -): - """Helper function that loads both training and test datasets for MNIST. - Parameters - ---------- - data_root: str - Directory where MNIST dataset will be stored. - train_batch_size: int - Mini-batch size for training set. - test_batch_size: int - Mini-batch size for test set. - cid: int - Client ID used to select a specific partition. - nb_clients: int - Total number of clients launched during training. This value dictates the number of unique to be created. - Returns - ------- - (train_loader, test_loader): Tuple[DataLoader, DataLoader] - Tuple contaning DataLoaders for training and test sets. +def adjust_x_shape(nda: np.ndarray) -> np.ndarray: + """Turn shape (x, y, z) into (x, y, z, 1).""" + nda_adjusted = np.reshape(nda, (nda.shape[0], nda.shape[1], nda.shape[2], 1)) + return nda_adjusted + + +def adjust_y_shape(nda: np.ndarray) -> np.ndarray: + """Turn shape (x, 1) into (x).""" + nda_adjusted = np.reshape(nda, (nda.shape[0])) + return nda_adjusted + + +def split_array_at_indices( + x: np.ndarray, split_idx: np.ndarray +) -> List[List[np.ndarray]]: + """Splits an array `x` into list of elements using starting indices from + `split_idx`. + + This function should be used with `unique_indices` from `np.unique()` after + sorting by label. + + Args: + x (np.ndarray): Original array of dimension (N,a,b,c,...) + split_idx (np.ndarray): 1-D array contaning increasing number of + indices to be used as partitions. Initial value must be zero. Last value + must be less than N. + + Returns: + List[List[np.ndarray]]: List of list of samples. """ - transform = transforms.Compose( - [transforms.ToTensor(), transforms.Normalize((0.1307,), (0.3081,))] - ) - if is_train: - dataset = datasets.MNIST( - data_root, train=True, download=True, transform=transform + if split_idx.ndim != 1: + raise ValueError("Variable `split_idx` must be a 1-D numpy array.") + if split_idx.dtype != np.int64: + raise ValueError("Variable `split_idx` must be of type np.int64.") + if split_idx[0] != 0: + raise ValueError("First value of `split_idx` must be 0.") + if split_idx[-1] >= x.shape[0]: + raise ValueError( + """Last value in `split_idx` must be less than + the number of samples in `x`.""" ) - else: - dataset = datasets.MNIST(data_root, train=False, transform=transform) - - loader = dataset_partitioner( - dataset=dataset, - batch_size=batch_size, - client_id=cid, - number_of_clients=nb_clients, - workers=workers, - ) + if not np.all(split_idx[:-1] <= split_idx[1:]): + raise ValueError("Items in `split_idx` must be in increasing order.") + + num_splits: int = len(split_idx) + split_idx = np.append(split_idx, x.shape[0]) + + list_samples_split: List[List[np.ndarray]] = [[] for _ in range(num_splits)] + for j in range(num_splits): + tmp_x = x[split_idx[j] : split_idx[j + 1]] # noqa: E203 + for sample in tmp_x: + list_samples_split[j].append(sample) + + return list_samples_split + + +def exclude_classes_and_normalize( + distribution: np.ndarray, exclude_dims: List[bool], eps: float = 1e-5 +) -> np.ndarray: + """Excludes classes from a distribution. + + This function is particularly useful when sampling without replacement. + Classes for which no sample is available have their probabilities are set to 0. + Classes that had probabilities originally set to 0 are incremented with + `eps` to allow sampling from remaining items. - return loader - -def get_circles( - batch_size: int, - n_samples: int = 1000, - workers=1, - is_train=True -): - # Create a dataset with 10,000 samples. - X, y = make_circles(n_samples = n_samples, - noise= 0.05, - random_state=26) - if is_train: - X_train, _, y_train, _ = train_test_split(X, y, test_size=.33) - # Instantiate training and test data - train_data = Data(X_train, y_train) - dataloader = DataLoader(dataset=train_data, batch_size=batch_size, shuffle=True, num_workers=workers) - else: - _, X_test, _, y_test = train_test_split(X, y, test_size=.33) - # Instantiate training and test data - test_data = Data(X_test, y_test) - dataloader = DataLoader(dataset=test_data, batch_size=batch_size, shuffle=True, num_workers=workers) - return dataloader - - -def dataset_partitioner( - dataset: torch.utils.data.Dataset, - batch_size: int, - client_id: int, - number_of_clients: int, - workers: int = 1, -) -> torch.utils.data.DataLoader: - """Helper function to partition datasets - Parameters - ---------- - dataset: torch.utils.data.Dataset - Dataset to be partitioned into *number_of_clients* subsets. - batch_size: int - Size of mini-batches used by the returned DataLoader. - client_id: int - Unique integer used for selecting a specific partition. - number_of_clients: int - Total number of clients launched during training. This value dictates the number of partitions to be created. - Returns - ------- - data_loader: torch.utils.data.Dataset - DataLoader for specific client_id considering number_of_clients partitions. + Args: + distribution (np.array): Distribution being used. + exclude_dims (List[bool]): Dimensions to be excluded. + eps (float, optional): Small value to be addad to non-excluded dimensions. + Defaults to 1e-5. + + Returns: + np.ndarray: Normalized distributions. + """ + if np.any(distribution < 0) or (not np.isclose(np.sum(distribution), 1.0)): + raise ValueError("distribution must sum to 1 and have only positive values.") + + if distribution.size != len(exclude_dims): + raise ValueError( + """Length of distribution must be equal + to the length `exclude_dims`.""" + ) + if eps < 0: + raise ValueError("""The value of `eps` must be positive and small.""") + + distribution[[not x for x in exclude_dims]] += eps + distribution[exclude_dims] = 0.0 + sum_rows = np.sum(distribution) + np.finfo(float).eps + distribution = distribution / sum_rows + + return distribution + + +def sample_without_replacement( + distribution: np.ndarray, + list_samples: List[List[np.ndarray]], + num_samples: int, + empty_classes: List[bool], +) -> Tuple[XY, List[bool]]: + """Samples from a list without replacement using a given distribution. + + Args: + distribution (np.ndarray): Distribution used for sampling. + list_samples(List[List[np.ndarray]]): List of samples. + num_samples (int): Total number of items to be sampled. + empty_classes (List[bool]): List of booleans indicating which classes are empty. + This is useful to differentiate which classes should still be sampled. + + Returns: + XY: Dataset contaning samples + List[bool]: empty_classes. """ + if np.sum([len(x) for x in list_samples]) < num_samples: + raise ValueError( + """Number of samples in `list_samples` is less than `num_samples`""" + ) + + # Make sure empty classes are not sampled + # and solves for rare cases where + if not empty_classes: + empty_classes = len(distribution) * [False] - # Set the seed so we are sure to generate the same global batches - # indices across all clients - np.random.seed(123) - - # Get the data corresponding to this client - dataset_size = len(dataset) - nb_samples_per_clients = dataset_size // number_of_clients - dataset_indices = list(range(dataset_size)) - np.random.shuffle(dataset_indices) - - # Get starting and ending indices w.r.t CLIENT_ID - start_ind = int(client_id) * nb_samples_per_clients - end_ind = start_ind + nb_samples_per_clients - data_sampler = SubsetRandomSampler(dataset_indices[start_ind:end_ind]) - data_loader = torch.utils.data.DataLoader( - dataset, batch_size=batch_size, shuffle=False, sampler=data_sampler, num_workers=workers + distribution = exclude_classes_and_normalize( + distribution=distribution, exclude_dims=empty_classes ) - return data_loader -def get_partitioned_income(path: str, pool_size: int, train_size=0.8, test_size=0.2): - data=pd.read_csv(path) - copy=data - encoder=OrdinalEncoder() - encoded_values=encoder.fit_transform(data) - data=pd.DataFrame(data=encoded_values, columns=copy.columns) - Y=data["income"] - data=data.loc[:,data.columns!="income"] + data: List[np.ndarray] = [] + target: List[np.ndarray] = [] - X_train, X_test, y_train, y_test = [], [], [], [] - train_size = int((len(data) * train_size) // pool_size)+2 - test_size = int((len(data) * test_size) // pool_size)-2 - for i in range(pool_size): - xtrain, xtest, ytrain, ytest = train_test_split( - data, Y, - train_size=train_size, - test_size=test_size, - random_state=i, - shuffle=True, - stratify=Y + for _ in range(num_samples): + sample_class = np.where(np.random.multinomial(1, distribution) == 1)[0][0] + sample: np.ndarray = list_samples[sample_class].pop() + + data.append(sample) + target.append(sample_class) + + # If last sample of the class was drawn, then set the + # probability density function (PDF) to zero for that class. + if len(list_samples[sample_class]) == 0: + empty_classes[sample_class] = True + # Be careful to distinguish between classes that had zero probability + # and classes that are now empty + distribution = exclude_classes_and_normalize( + distribution=distribution, exclude_dims=empty_classes + ) + data_array: np.ndarray = np.concatenate([data], axis=0) + target_array: np.ndarray = np.array(target, dtype=np.int64) + + return (data_array, target_array), empty_classes + + +def get_partitions_distributions(partitions: XYList) -> Tuple[np.ndarray, List[int]]: + """Evaluates the distribution over classes for a set of partitions. + + Args: + partitions (XYList): Input partitions + + Returns: + np.ndarray: Distributions of size (num_partitions, num_classes) + """ + # Get largest available label + labels = set() + for _, y in partitions: + labels.update(set(y)) + list_labels = sorted(list(labels)) + bin_edges = np.arange(len(list_labels) + 1) + + # Pre-allocate distributions + distributions = np.zeros((len(partitions), len(list_labels)), dtype=np.float32) + for idx, (_, _y) in enumerate(partitions): + hist, _ = np.histogram(_y, bin_edges) + distributions[idx] = hist / hist.sum() + + return distributions, list_labels + + +def create_lda_partitions( + dataset: XY, + dirichlet_dist: Optional[np.ndarray] = None, + num_partitions: int = 100, + concentration: Union[float, np.ndarray, List[float]] = 0.5, + accept_imbalanced: bool = False, + seed: Optional[Union[int, SeedSequence, BitGenerator, Generator]] = None, +) -> Tuple[XYList, np.ndarray]: + """Create imbalanced non-iid partitions using Latent Dirichlet Allocation + (LDA) without resampling. + + Args: + dataset (XY): Dataset containing samples X and labels Y. + dirichlet_dist (numpy.ndarray, optional): previously generated distribution to + be used. This is useful when applying the same distribution for train and + validation sets. + num_partitions (int, optional): Number of partitions to be created. + Defaults to 100. + concentration (float, np.ndarray, List[float]): Dirichlet Concentration + (:math:`\\alpha`) parameter. Set to float('inf') to get uniform partitions. + An :math:`\\alpha \\to \\Inf` generates uniform distributions over classes. + An :math:`\\alpha \\to 0.0` generates one class per client. Defaults to 0.5. + accept_imbalanced (bool): Whether or not to accept imbalanced output classes. + Default False. + seed (None, int, SeedSequence, BitGenerator, Generator): + A seed to initialize the BitGenerator for generating the Dirichlet + distribution. This is defined in Numpy's official documentation as follows: + If None, then fresh, unpredictable entropy will be pulled from the OS. + One may also pass in a SeedSequence instance. + Additionally, when passed a BitGenerator, it will be wrapped by Generator. + If passed a Generator, it will be returned unaltered. + See official Numpy Documentation for further details. + + Returns: + Tuple[XYList, numpy.ndarray]: List of XYList containing partitions + for each dataset and the dirichlet probability density functions. + """ + # pylint: disable=too-many-arguments,too-many-locals + + x, y = dataset + x, y = shuffle(x, y) + x, y = sort_by_label(x, y) + + if (x.shape[0] % num_partitions) and (not accept_imbalanced): + raise ValueError( + """Total number of samples must be a multiple of `num_partitions`. + If imbalanced classes are allowed, set + `accept_imbalanced=True`.""" ) - X_train.append(xtrain) - X_test.append(xtest) - y_train.append(ytrain) - y_test.append(ytest) - return X_train, X_test, y_train, y_test + num_samples = num_partitions * [0] + for j in range(x.shape[0]): + num_samples[j % num_partitions] += 1 -def get_partitioned_house(path: str, pool_size: int, train_size=0.8, test_size=0.2): - data = pd.read_csv(path) - Y = data['median_house_value'].values - data = data.drop(['median_house_value'] , axis = 1).values + # Get number of classes and verify if they matching with + classes, start_indices = np.unique(y, return_index=True) - X_train, X_test, y_train, y_test = [], [], [], [] - train_size = int((len(data) * train_size) // pool_size)+2 - test_size = int((len(data) * test_size) // pool_size)-2 - for i in range(pool_size): - xtrain, xtest, ytrain, ytest = train_test_split( - data, Y, - train_size=train_size, - test_size=test_size, - random_state=i, - shuffle=True + # Make sure that concentration is np.array and + # check if concentration is appropriate + concentration = np.asarray(concentration) + + # Check if concentration is Inf, if so create uniform partitions + partitions: List[XY] = [(_, _) for _ in range(num_partitions)] + if float("inf") in concentration: + + partitions = create_partitions( + unpartitioned_dataset=(x, y), + iid_fraction=1.0, + num_partitions=num_partitions, ) - sd = preprocessing.RobustScaler() - xtrain = sd.fit_transform(xtrain) - xtest = sd.fit_transform(xtest) + dirichlet_dist = get_partitions_distributions(partitions)[0] - X_train.append(xtrain) - X_test.append(xtest) - y_train.append(ytrain) - y_test.append(ytest) + return partitions, dirichlet_dist + + if concentration.size == 1: + concentration = np.repeat(concentration, classes.size) + elif concentration.size != classes.size: # Sequence + raise ValueError( + f"The size of the provided concentration ({concentration.size}) ", + f"must be either 1 or equal number of classes {classes.size})", + ) + + # Split into list of list of samples per class + list_samples_per_class: List[List[np.ndarray]] = split_array_at_indices( + x, start_indices + ) + + if dirichlet_dist is None: + dirichlet_dist = np.random.default_rng(seed).dirichlet( + alpha=concentration, size=num_partitions + ) + + if dirichlet_dist.size != 0: + if dirichlet_dist.shape != (num_partitions, classes.size): + raise ValueError( + f"""The shape of the provided dirichlet distribution + ({dirichlet_dist.shape}) must match the provided number + of partitions and classes ({num_partitions},{classes.size})""" + ) + + # Assuming balanced distribution + empty_classes = classes.size * [False] + for partition_id in range(num_partitions): + partitions[partition_id], empty_classes = sample_without_replacement( + distribution=dirichlet_dist[partition_id].copy(), + list_samples=list_samples_per_class, + num_samples=num_samples[partition_id], + empty_classes=empty_classes, + ) - return X_train, X_test, y_train, y_test \ No newline at end of file + return partitions, dirichlet_dist diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 83de9293a48e..a1b205b3d72f 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -21,16 +21,7 @@ import pandas as pd from typing import Dict, Callable, Optional, Tuple, List -from neural_networks.dataset_utils import ( - get_mnist, - do_fl_partitioning, - get_dataloader, - get_circles, - get_cifar_10, - get_partitioned_house, - get_partitioned_income -) -from neural_networks.neural_networks import ( +from .models import ( MnistNet, ToyNN, roc_auc_multiclass, @@ -39,7 +30,7 @@ test_mnist, train_toy ) -from clients import ( +from .client import ( CifarClient, HouseClient, IncomeClient, @@ -50,23 +41,22 @@ set_sklearn_model_params, get_sklearn_model_params ) -from neural_networks.neural_networks import CifarNet, test_cifar -from strategy.utilities import save_results +from .utils import save_results from torch.utils.data import DataLoader from torchvision import transforms from torchvision.datasets import MNIST -from strategy.flanders import Flanders +from .strategy import Flanders -from attacks import ( - fang_attack, - gaussian_attack, - lie_attack, - no_attack, - minmax_attack -) +#from attacks import ( +# fang_attack, +# gaussian_attack, +# lie_attack, +# no_attack, +# minmax_attack +#) from flwr.server.strategy.fedavg import FedAvg from flwr.common import ( diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index cb8c49b32843..3173492ec6b8 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -2,7 +2,7 @@ from typing import Callable, Dict, List, Optional, Tuple, Union from flwr.server.strategy.fedavg import FedAvg -from utils import ( +from .utils import ( save_params, save_predicted_params, load_all_time_series, diff --git a/baselines/flanders/outputs/2023-11-21/17-59-00/.hydra/config.yaml b/baselines/flanders/outputs/2023-11-21/17-59-00/.hydra/config.yaml new file mode 100644 index 000000000000..689bc181efc1 --- /dev/null +++ b/baselines/flanders/outputs/2023-11-21/17-59-00/.hydra/config.yaml @@ -0,0 +1,5 @@ +dataset: null +model: null +strategy: + _target_: null +client: null diff --git a/baselines/flanders/outputs/2023-11-21/17-59-00/.hydra/hydra.yaml b/baselines/flanders/outputs/2023-11-21/17-59-00/.hydra/hydra.yaml new file mode 100644 index 000000000000..3ac95b469fdc --- /dev/null +++ b/baselines/flanders/outputs/2023-11-21/17-59-00/.hydra/hydra.yaml @@ -0,0 +1,154 @@ +hydra: + run: + dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S} + sweep: + dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper + max_batch_size: null + params: null + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][HYDRA] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: simple + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + loggers: + logging_example: + level: DEBUG + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: simple + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + mode: RUN + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: + - hydra.mode=RUN + task: [] + job: + name: main + chdir: null + override_dirname: '' + id: ??? + num: ??? + config_name: base + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.3.2 + version_base: '1.3' + cwd: /Users/eddie/flower/baselines/flanders + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /Users/eddie/flower/baselines/flanders/flanders/conf + schema: file + provider: main + - path: '' + schema: structured + provider: schema + output_dir: /Users/eddie/flower/baselines/flanders/outputs/2023-11-21/17-59-00 + choices: + hydra/env: default + hydra/callbacks: null + hydra/job_logging: default + hydra/hydra_logging: default + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: basic + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/baselines/flanders/outputs/2023-11-21/17-59-00/.hydra/overrides.yaml b/baselines/flanders/outputs/2023-11-21/17-59-00/.hydra/overrides.yaml new file mode 100644 index 000000000000..fe51488c7066 --- /dev/null +++ b/baselines/flanders/outputs/2023-11-21/17-59-00/.hydra/overrides.yaml @@ -0,0 +1 @@ +[] diff --git a/baselines/flanders/pyproject.toml b/baselines/flanders/pyproject.toml index c51b743105b3..9384975c368e 100644 --- a/baselines/flanders/pyproject.toml +++ b/baselines/flanders/pyproject.toml @@ -37,9 +37,13 @@ classifiers = [ ] [tool.poetry.dependencies] -python = ">=3.8.15, <3.12.0" # don't change this -flwr = { extras = ["simulation"], version = "1.5.0" } +python = ">=3.9, <3.12.0" # pandas requires >=3.9 hydra-core = "1.3.2" # don't change this +flwr = {extras = ["simulation"], version = "1.5.0" } +torch = "^2.1.1" +pandas = "^2.1.3" +scikit-learn = "1.3.2" +torchvision = "^0.16.1" [tool.poetry.dev-dependencies] isort = "==5.11.5" @@ -53,6 +57,12 @@ pytest-watch = "==4.2.0" ruff = "==0.0.272" types-requests = "==2.27.7" virtualenv = "20.21.0" + +[[tool.poetry.source]] +name = "natsort" +url = "natsort-8.4.0-py3-none-any.whl" +priority = "explicit" + [tool.isort] line_length = 88 indent = " " From d7b400edb9a2e0abdf5f0d38cadd60be0d923854 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Tue, 21 Nov 2023 19:18:25 +0100 Subject: [PATCH 07/91] Disable Hydra outputs --- baselines/flanders/flanders/conf/base.yaml | 9 + .../2023-11-18/11-37-55/.hydra/config.yaml | 5 - .../2023-11-18/11-37-55/.hydra/hydra.yaml | 154 ------------------ .../2023-11-18/11-37-55/.hydra/overrides.yaml | 1 - .../2023-11-18/11-38-22/.hydra/config.yaml | 5 - .../2023-11-18/11-38-22/.hydra/hydra.yaml | 154 ------------------ .../2023-11-18/11-38-22/.hydra/overrides.yaml | 1 - .../2023-11-18/11-38-40/.hydra/config.yaml | 5 - .../2023-11-18/11-38-40/.hydra/hydra.yaml | 154 ------------------ .../2023-11-18/11-38-40/.hydra/overrides.yaml | 1 - .../2023-11-18/11-38-48/.hydra/config.yaml | 5 - .../2023-11-18/11-38-48/.hydra/hydra.yaml | 154 ------------------ .../2023-11-18/11-38-48/.hydra/overrides.yaml | 1 - .../2023-11-21/17-59-00/.hydra/config.yaml | 5 - .../2023-11-21/17-59-00/.hydra/hydra.yaml | 154 ------------------ .../2023-11-21/17-59-00/.hydra/overrides.yaml | 1 - 16 files changed, 9 insertions(+), 800 deletions(-) delete mode 100644 baselines/flanders/flanders/outputs/2023-11-18/11-37-55/.hydra/config.yaml delete mode 100644 baselines/flanders/flanders/outputs/2023-11-18/11-37-55/.hydra/hydra.yaml delete mode 100644 baselines/flanders/flanders/outputs/2023-11-18/11-37-55/.hydra/overrides.yaml delete mode 100644 baselines/flanders/flanders/outputs/2023-11-18/11-38-22/.hydra/config.yaml delete mode 100644 baselines/flanders/flanders/outputs/2023-11-18/11-38-22/.hydra/hydra.yaml delete mode 100644 baselines/flanders/flanders/outputs/2023-11-18/11-38-22/.hydra/overrides.yaml delete mode 100644 baselines/flanders/flanders/outputs/2023-11-18/11-38-40/.hydra/config.yaml delete mode 100644 baselines/flanders/flanders/outputs/2023-11-18/11-38-40/.hydra/hydra.yaml delete mode 100644 baselines/flanders/flanders/outputs/2023-11-18/11-38-40/.hydra/overrides.yaml delete mode 100644 baselines/flanders/flanders/outputs/2023-11-18/11-38-48/.hydra/config.yaml delete mode 100644 baselines/flanders/flanders/outputs/2023-11-18/11-38-48/.hydra/hydra.yaml delete mode 100644 baselines/flanders/flanders/outputs/2023-11-18/11-38-48/.hydra/overrides.yaml delete mode 100644 baselines/flanders/outputs/2023-11-21/17-59-00/.hydra/config.yaml delete mode 100644 baselines/flanders/outputs/2023-11-21/17-59-00/.hydra/hydra.yaml delete mode 100644 baselines/flanders/outputs/2023-11-21/17-59-00/.hydra/overrides.yaml diff --git a/baselines/flanders/flanders/conf/base.yaml b/baselines/flanders/flanders/conf/base.yaml index 2d65b3b989b2..237789bfbebd 100644 --- a/baselines/flanders/flanders/conf/base.yaml +++ b/baselines/flanders/flanders/conf/base.yaml @@ -2,6 +2,15 @@ # this is the config that will be loaded as default by main.py # Please follow the provided structure (this will ensuring all baseline follow # a similar configuration structure and hence be easy to customise) +defaults: + - _self_ + - override hydra/hydra_logging: disabled + - override hydra/job_logging: disabled + +hydra: + output_subdir: null + run: + dir: . dataset: # dataset config diff --git a/baselines/flanders/flanders/outputs/2023-11-18/11-37-55/.hydra/config.yaml b/baselines/flanders/flanders/outputs/2023-11-18/11-37-55/.hydra/config.yaml deleted file mode 100644 index 689bc181efc1..000000000000 --- a/baselines/flanders/flanders/outputs/2023-11-18/11-37-55/.hydra/config.yaml +++ /dev/null @@ -1,5 +0,0 @@ -dataset: null -model: null -strategy: - _target_: null -client: null diff --git a/baselines/flanders/flanders/outputs/2023-11-18/11-37-55/.hydra/hydra.yaml b/baselines/flanders/flanders/outputs/2023-11-18/11-37-55/.hydra/hydra.yaml deleted file mode 100644 index edeca837dcaa..000000000000 --- a/baselines/flanders/flanders/outputs/2023-11-18/11-37-55/.hydra/hydra.yaml +++ /dev/null @@ -1,154 +0,0 @@ -hydra: - run: - dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S} - sweep: - dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S} - subdir: ${hydra.job.num} - launcher: - _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher - sweeper: - _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper - max_batch_size: null - params: null - help: - app_name: ${hydra.job.name} - header: '${hydra.help.app_name} is powered by Hydra. - - ' - footer: 'Powered by Hydra (https://hydra.cc) - - Use --hydra-help to view Hydra specific help - - ' - template: '${hydra.help.header} - - == Configuration groups == - - Compose your configuration from those groups (group=option) - - - $APP_CONFIG_GROUPS - - - == Config == - - Override anything in the config (foo.bar=value) - - - $CONFIG - - - ${hydra.help.footer} - - ' - hydra_help: - template: 'Hydra (${hydra.runtime.version}) - - See https://hydra.cc for more info. - - - == Flags == - - $FLAGS_HELP - - - == Configuration groups == - - Compose your configuration from those groups (For example, append hydra/job_logging=disabled - to command line) - - - $HYDRA_CONFIG_GROUPS - - - Use ''--cfg hydra'' to Show the Hydra config. - - ' - hydra_help: ??? - hydra_logging: - version: 1 - formatters: - simple: - format: '[%(asctime)s][HYDRA] %(message)s' - handlers: - console: - class: logging.StreamHandler - formatter: simple - stream: ext://sys.stdout - root: - level: INFO - handlers: - - console - loggers: - logging_example: - level: DEBUG - disable_existing_loggers: false - job_logging: - version: 1 - formatters: - simple: - format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' - handlers: - console: - class: logging.StreamHandler - formatter: simple - stream: ext://sys.stdout - file: - class: logging.FileHandler - formatter: simple - filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log - root: - level: INFO - handlers: - - console - - file - disable_existing_loggers: false - env: {} - mode: RUN - searchpath: [] - callbacks: {} - output_subdir: .hydra - overrides: - hydra: - - hydra.mode=RUN - task: [] - job: - name: main - chdir: null - override_dirname: '' - id: ??? - num: ??? - config_name: base - env_set: {} - env_copy: [] - config: - override_dirname: - kv_sep: '=' - item_sep: ',' - exclude_keys: [] - runtime: - version: 1.3.2 - version_base: '1.3' - cwd: /Users/eddie/flower/baselines/flanders/flanders - config_sources: - - path: hydra.conf - schema: pkg - provider: hydra - - path: /Users/eddie/flower/baselines/flanders/flanders/conf - schema: file - provider: main - - path: '' - schema: structured - provider: schema - output_dir: /Users/eddie/flower/baselines/flanders/flanders/outputs/2023-11-18/11-37-55 - choices: - hydra/env: default - hydra/callbacks: null - hydra/job_logging: default - hydra/hydra_logging: default - hydra/hydra_help: default - hydra/help: default - hydra/sweeper: basic - hydra/launcher: basic - hydra/output: default - verbose: false diff --git a/baselines/flanders/flanders/outputs/2023-11-18/11-37-55/.hydra/overrides.yaml b/baselines/flanders/flanders/outputs/2023-11-18/11-37-55/.hydra/overrides.yaml deleted file mode 100644 index fe51488c7066..000000000000 --- a/baselines/flanders/flanders/outputs/2023-11-18/11-37-55/.hydra/overrides.yaml +++ /dev/null @@ -1 +0,0 @@ -[] diff --git a/baselines/flanders/flanders/outputs/2023-11-18/11-38-22/.hydra/config.yaml b/baselines/flanders/flanders/outputs/2023-11-18/11-38-22/.hydra/config.yaml deleted file mode 100644 index 689bc181efc1..000000000000 --- a/baselines/flanders/flanders/outputs/2023-11-18/11-38-22/.hydra/config.yaml +++ /dev/null @@ -1,5 +0,0 @@ -dataset: null -model: null -strategy: - _target_: null -client: null diff --git a/baselines/flanders/flanders/outputs/2023-11-18/11-38-22/.hydra/hydra.yaml b/baselines/flanders/flanders/outputs/2023-11-18/11-38-22/.hydra/hydra.yaml deleted file mode 100644 index 321933e9b919..000000000000 --- a/baselines/flanders/flanders/outputs/2023-11-18/11-38-22/.hydra/hydra.yaml +++ /dev/null @@ -1,154 +0,0 @@ -hydra: - run: - dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S} - sweep: - dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S} - subdir: ${hydra.job.num} - launcher: - _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher - sweeper: - _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper - max_batch_size: null - params: null - help: - app_name: ${hydra.job.name} - header: '${hydra.help.app_name} is powered by Hydra. - - ' - footer: 'Powered by Hydra (https://hydra.cc) - - Use --hydra-help to view Hydra specific help - - ' - template: '${hydra.help.header} - - == Configuration groups == - - Compose your configuration from those groups (group=option) - - - $APP_CONFIG_GROUPS - - - == Config == - - Override anything in the config (foo.bar=value) - - - $CONFIG - - - ${hydra.help.footer} - - ' - hydra_help: - template: 'Hydra (${hydra.runtime.version}) - - See https://hydra.cc for more info. - - - == Flags == - - $FLAGS_HELP - - - == Configuration groups == - - Compose your configuration from those groups (For example, append hydra/job_logging=disabled - to command line) - - - $HYDRA_CONFIG_GROUPS - - - Use ''--cfg hydra'' to Show the Hydra config. - - ' - hydra_help: ??? - hydra_logging: - version: 1 - formatters: - simple: - format: '[%(asctime)s][HYDRA] %(message)s' - handlers: - console: - class: logging.StreamHandler - formatter: simple - stream: ext://sys.stdout - root: - level: INFO - handlers: - - console - loggers: - logging_example: - level: DEBUG - disable_existing_loggers: false - job_logging: - version: 1 - formatters: - simple: - format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' - handlers: - console: - class: logging.StreamHandler - formatter: simple - stream: ext://sys.stdout - file: - class: logging.FileHandler - formatter: simple - filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log - root: - level: INFO - handlers: - - console - - file - disable_existing_loggers: false - env: {} - mode: RUN - searchpath: [] - callbacks: {} - output_subdir: .hydra - overrides: - hydra: - - hydra.mode=RUN - task: [] - job: - name: main - chdir: null - override_dirname: '' - id: ??? - num: ??? - config_name: base - env_set: {} - env_copy: [] - config: - override_dirname: - kv_sep: '=' - item_sep: ',' - exclude_keys: [] - runtime: - version: 1.3.2 - version_base: '1.3' - cwd: /Users/eddie/flower/baselines/flanders/flanders - config_sources: - - path: hydra.conf - schema: pkg - provider: hydra - - path: /Users/eddie/flower/baselines/flanders/flanders/conf - schema: file - provider: main - - path: '' - schema: structured - provider: schema - output_dir: /Users/eddie/flower/baselines/flanders/flanders/outputs/2023-11-18/11-38-22 - choices: - hydra/env: default - hydra/callbacks: null - hydra/job_logging: default - hydra/hydra_logging: default - hydra/hydra_help: default - hydra/help: default - hydra/sweeper: basic - hydra/launcher: basic - hydra/output: default - verbose: false diff --git a/baselines/flanders/flanders/outputs/2023-11-18/11-38-22/.hydra/overrides.yaml b/baselines/flanders/flanders/outputs/2023-11-18/11-38-22/.hydra/overrides.yaml deleted file mode 100644 index fe51488c7066..000000000000 --- a/baselines/flanders/flanders/outputs/2023-11-18/11-38-22/.hydra/overrides.yaml +++ /dev/null @@ -1 +0,0 @@ -[] diff --git a/baselines/flanders/flanders/outputs/2023-11-18/11-38-40/.hydra/config.yaml b/baselines/flanders/flanders/outputs/2023-11-18/11-38-40/.hydra/config.yaml deleted file mode 100644 index 9e79191f247b..000000000000 --- a/baselines/flanders/flanders/outputs/2023-11-18/11-38-40/.hydra/config.yaml +++ /dev/null @@ -1,5 +0,0 @@ -dataset: cifar -model: null -strategy: - _target_: null -client: null diff --git a/baselines/flanders/flanders/outputs/2023-11-18/11-38-40/.hydra/hydra.yaml b/baselines/flanders/flanders/outputs/2023-11-18/11-38-40/.hydra/hydra.yaml deleted file mode 100644 index 0e77fffb002d..000000000000 --- a/baselines/flanders/flanders/outputs/2023-11-18/11-38-40/.hydra/hydra.yaml +++ /dev/null @@ -1,154 +0,0 @@ -hydra: - run: - dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S} - sweep: - dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S} - subdir: ${hydra.job.num} - launcher: - _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher - sweeper: - _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper - max_batch_size: null - params: null - help: - app_name: ${hydra.job.name} - header: '${hydra.help.app_name} is powered by Hydra. - - ' - footer: 'Powered by Hydra (https://hydra.cc) - - Use --hydra-help to view Hydra specific help - - ' - template: '${hydra.help.header} - - == Configuration groups == - - Compose your configuration from those groups (group=option) - - - $APP_CONFIG_GROUPS - - - == Config == - - Override anything in the config (foo.bar=value) - - - $CONFIG - - - ${hydra.help.footer} - - ' - hydra_help: - template: 'Hydra (${hydra.runtime.version}) - - See https://hydra.cc for more info. - - - == Flags == - - $FLAGS_HELP - - - == Configuration groups == - - Compose your configuration from those groups (For example, append hydra/job_logging=disabled - to command line) - - - $HYDRA_CONFIG_GROUPS - - - Use ''--cfg hydra'' to Show the Hydra config. - - ' - hydra_help: ??? - hydra_logging: - version: 1 - formatters: - simple: - format: '[%(asctime)s][HYDRA] %(message)s' - handlers: - console: - class: logging.StreamHandler - formatter: simple - stream: ext://sys.stdout - root: - level: INFO - handlers: - - console - loggers: - logging_example: - level: DEBUG - disable_existing_loggers: false - job_logging: - version: 1 - formatters: - simple: - format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' - handlers: - console: - class: logging.StreamHandler - formatter: simple - stream: ext://sys.stdout - file: - class: logging.FileHandler - formatter: simple - filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log - root: - level: INFO - handlers: - - console - - file - disable_existing_loggers: false - env: {} - mode: RUN - searchpath: [] - callbacks: {} - output_subdir: .hydra - overrides: - hydra: - - hydra.mode=RUN - task: [] - job: - name: main - chdir: null - override_dirname: '' - id: ??? - num: ??? - config_name: base - env_set: {} - env_copy: [] - config: - override_dirname: - kv_sep: '=' - item_sep: ',' - exclude_keys: [] - runtime: - version: 1.3.2 - version_base: '1.3' - cwd: /Users/eddie/flower/baselines/flanders/flanders - config_sources: - - path: hydra.conf - schema: pkg - provider: hydra - - path: /Users/eddie/flower/baselines/flanders/flanders/conf - schema: file - provider: main - - path: '' - schema: structured - provider: schema - output_dir: /Users/eddie/flower/baselines/flanders/flanders/outputs/2023-11-18/11-38-40 - choices: - hydra/env: default - hydra/callbacks: null - hydra/job_logging: default - hydra/hydra_logging: default - hydra/hydra_help: default - hydra/help: default - hydra/sweeper: basic - hydra/launcher: basic - hydra/output: default - verbose: false diff --git a/baselines/flanders/flanders/outputs/2023-11-18/11-38-40/.hydra/overrides.yaml b/baselines/flanders/flanders/outputs/2023-11-18/11-38-40/.hydra/overrides.yaml deleted file mode 100644 index fe51488c7066..000000000000 --- a/baselines/flanders/flanders/outputs/2023-11-18/11-38-40/.hydra/overrides.yaml +++ /dev/null @@ -1 +0,0 @@ -[] diff --git a/baselines/flanders/flanders/outputs/2023-11-18/11-38-48/.hydra/config.yaml b/baselines/flanders/flanders/outputs/2023-11-18/11-38-48/.hydra/config.yaml deleted file mode 100644 index 9e79191f247b..000000000000 --- a/baselines/flanders/flanders/outputs/2023-11-18/11-38-48/.hydra/config.yaml +++ /dev/null @@ -1,5 +0,0 @@ -dataset: cifar -model: null -strategy: - _target_: null -client: null diff --git a/baselines/flanders/flanders/outputs/2023-11-18/11-38-48/.hydra/hydra.yaml b/baselines/flanders/flanders/outputs/2023-11-18/11-38-48/.hydra/hydra.yaml deleted file mode 100644 index 890cad7d1a37..000000000000 --- a/baselines/flanders/flanders/outputs/2023-11-18/11-38-48/.hydra/hydra.yaml +++ /dev/null @@ -1,154 +0,0 @@ -hydra: - run: - dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S} - sweep: - dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S} - subdir: ${hydra.job.num} - launcher: - _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher - sweeper: - _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper - max_batch_size: null - params: null - help: - app_name: ${hydra.job.name} - header: '${hydra.help.app_name} is powered by Hydra. - - ' - footer: 'Powered by Hydra (https://hydra.cc) - - Use --hydra-help to view Hydra specific help - - ' - template: '${hydra.help.header} - - == Configuration groups == - - Compose your configuration from those groups (group=option) - - - $APP_CONFIG_GROUPS - - - == Config == - - Override anything in the config (foo.bar=value) - - - $CONFIG - - - ${hydra.help.footer} - - ' - hydra_help: - template: 'Hydra (${hydra.runtime.version}) - - See https://hydra.cc for more info. - - - == Flags == - - $FLAGS_HELP - - - == Configuration groups == - - Compose your configuration from those groups (For example, append hydra/job_logging=disabled - to command line) - - - $HYDRA_CONFIG_GROUPS - - - Use ''--cfg hydra'' to Show the Hydra config. - - ' - hydra_help: ??? - hydra_logging: - version: 1 - formatters: - simple: - format: '[%(asctime)s][HYDRA] %(message)s' - handlers: - console: - class: logging.StreamHandler - formatter: simple - stream: ext://sys.stdout - root: - level: INFO - handlers: - - console - loggers: - logging_example: - level: DEBUG - disable_existing_loggers: false - job_logging: - version: 1 - formatters: - simple: - format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' - handlers: - console: - class: logging.StreamHandler - formatter: simple - stream: ext://sys.stdout - file: - class: logging.FileHandler - formatter: simple - filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log - root: - level: INFO - handlers: - - console - - file - disable_existing_loggers: false - env: {} - mode: RUN - searchpath: [] - callbacks: {} - output_subdir: .hydra - overrides: - hydra: - - hydra.mode=RUN - task: [] - job: - name: main - chdir: null - override_dirname: '' - id: ??? - num: ??? - config_name: base - env_set: {} - env_copy: [] - config: - override_dirname: - kv_sep: '=' - item_sep: ',' - exclude_keys: [] - runtime: - version: 1.3.2 - version_base: '1.3' - cwd: /Users/eddie/flower/baselines/flanders/flanders - config_sources: - - path: hydra.conf - schema: pkg - provider: hydra - - path: /Users/eddie/flower/baselines/flanders/flanders/conf - schema: file - provider: main - - path: '' - schema: structured - provider: schema - output_dir: /Users/eddie/flower/baselines/flanders/flanders/outputs/2023-11-18/11-38-48 - choices: - hydra/env: default - hydra/callbacks: null - hydra/job_logging: default - hydra/hydra_logging: default - hydra/hydra_help: default - hydra/help: default - hydra/sweeper: basic - hydra/launcher: basic - hydra/output: default - verbose: false diff --git a/baselines/flanders/flanders/outputs/2023-11-18/11-38-48/.hydra/overrides.yaml b/baselines/flanders/flanders/outputs/2023-11-18/11-38-48/.hydra/overrides.yaml deleted file mode 100644 index fe51488c7066..000000000000 --- a/baselines/flanders/flanders/outputs/2023-11-18/11-38-48/.hydra/overrides.yaml +++ /dev/null @@ -1 +0,0 @@ -[] diff --git a/baselines/flanders/outputs/2023-11-21/17-59-00/.hydra/config.yaml b/baselines/flanders/outputs/2023-11-21/17-59-00/.hydra/config.yaml deleted file mode 100644 index 689bc181efc1..000000000000 --- a/baselines/flanders/outputs/2023-11-21/17-59-00/.hydra/config.yaml +++ /dev/null @@ -1,5 +0,0 @@ -dataset: null -model: null -strategy: - _target_: null -client: null diff --git a/baselines/flanders/outputs/2023-11-21/17-59-00/.hydra/hydra.yaml b/baselines/flanders/outputs/2023-11-21/17-59-00/.hydra/hydra.yaml deleted file mode 100644 index 3ac95b469fdc..000000000000 --- a/baselines/flanders/outputs/2023-11-21/17-59-00/.hydra/hydra.yaml +++ /dev/null @@ -1,154 +0,0 @@ -hydra: - run: - dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S} - sweep: - dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S} - subdir: ${hydra.job.num} - launcher: - _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher - sweeper: - _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper - max_batch_size: null - params: null - help: - app_name: ${hydra.job.name} - header: '${hydra.help.app_name} is powered by Hydra. - - ' - footer: 'Powered by Hydra (https://hydra.cc) - - Use --hydra-help to view Hydra specific help - - ' - template: '${hydra.help.header} - - == Configuration groups == - - Compose your configuration from those groups (group=option) - - - $APP_CONFIG_GROUPS - - - == Config == - - Override anything in the config (foo.bar=value) - - - $CONFIG - - - ${hydra.help.footer} - - ' - hydra_help: - template: 'Hydra (${hydra.runtime.version}) - - See https://hydra.cc for more info. - - - == Flags == - - $FLAGS_HELP - - - == Configuration groups == - - Compose your configuration from those groups (For example, append hydra/job_logging=disabled - to command line) - - - $HYDRA_CONFIG_GROUPS - - - Use ''--cfg hydra'' to Show the Hydra config. - - ' - hydra_help: ??? - hydra_logging: - version: 1 - formatters: - simple: - format: '[%(asctime)s][HYDRA] %(message)s' - handlers: - console: - class: logging.StreamHandler - formatter: simple - stream: ext://sys.stdout - root: - level: INFO - handlers: - - console - loggers: - logging_example: - level: DEBUG - disable_existing_loggers: false - job_logging: - version: 1 - formatters: - simple: - format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' - handlers: - console: - class: logging.StreamHandler - formatter: simple - stream: ext://sys.stdout - file: - class: logging.FileHandler - formatter: simple - filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log - root: - level: INFO - handlers: - - console - - file - disable_existing_loggers: false - env: {} - mode: RUN - searchpath: [] - callbacks: {} - output_subdir: .hydra - overrides: - hydra: - - hydra.mode=RUN - task: [] - job: - name: main - chdir: null - override_dirname: '' - id: ??? - num: ??? - config_name: base - env_set: {} - env_copy: [] - config: - override_dirname: - kv_sep: '=' - item_sep: ',' - exclude_keys: [] - runtime: - version: 1.3.2 - version_base: '1.3' - cwd: /Users/eddie/flower/baselines/flanders - config_sources: - - path: hydra.conf - schema: pkg - provider: hydra - - path: /Users/eddie/flower/baselines/flanders/flanders/conf - schema: file - provider: main - - path: '' - schema: structured - provider: schema - output_dir: /Users/eddie/flower/baselines/flanders/outputs/2023-11-21/17-59-00 - choices: - hydra/env: default - hydra/callbacks: null - hydra/job_logging: default - hydra/hydra_logging: default - hydra/hydra_help: default - hydra/help: default - hydra/sweeper: basic - hydra/launcher: basic - hydra/output: default - verbose: false diff --git a/baselines/flanders/outputs/2023-11-21/17-59-00/.hydra/overrides.yaml b/baselines/flanders/outputs/2023-11-21/17-59-00/.hydra/overrides.yaml deleted file mode 100644 index fe51488c7066..000000000000 --- a/baselines/flanders/outputs/2023-11-21/17-59-00/.hydra/overrides.yaml +++ /dev/null @@ -1 +0,0 @@ -[] From 2707ca2aa1dec69b9c556fdf71ea743cf9fc250f Mon Sep 17 00:00:00 2001 From: edogab33 Date: Wed, 22 Nov 2023 19:44:35 +0100 Subject: [PATCH 08/91] Add malicious clients sampling and various fixes --- baselines/flanders/README.md | 6 +-- baselines/flanders/flanders/__init__.py | 2 +- baselines/flanders/flanders/conf/base.yaml | 22 ++++++--- baselines/flanders/flanders/dataset.py | 2 +- baselines/flanders/flanders/main.py | 54 +++++++++++++++++----- baselines/flanders/flanders/server.py | 23 ++++++++- baselines/flanders/pyproject.toml | 5 -- baselines/flanders/results/all_results.csv | 10 ++++ 8 files changed, 94 insertions(+), 30 deletions(-) create mode 100644 baselines/flanders/results/all_results.csv diff --git a/baselines/flanders/README.md b/baselines/flanders/README.md index 1c5c8479ca26..a0ab3db89a94 100644 --- a/baselines/flanders/README.md +++ b/baselines/flanders/README.md @@ -68,9 +68,9 @@ California Housing (linear regression): | Dataset | # of clients | Clients per round | # of rounds | Batch size | Learning rate | $\lambda_1$ | $\lambda_2$ | Optimizer | Dropout | Alpha | Beta | # of clients to keep | Sampling | | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -| Income | 100 | 100 | 100 | \ | \ | 1.0 | 0.0 | CCD | \ | 0.0 | 0.0 | 1 | \ | -| MNIST | 100 | 100 | 100 | 32 | $10^{-3}$ | \ | \ | Adam | 0.2 | 0.0 | 0.0 | 1 | \ | -| California Housing | 100 | 100 | 100 | \ | \ | 0.5 | 0.5 | CCD | \ | 0.0 | 0.0 | 1 | \ | +| Income | 100 | 100 | 50 | \ | \ | 1.0 | 0.0 | CCD | \ | 0.0 | 0.0 | 1 | \ | +| MNIST | 100 | 100 | 50 | 32 | $10^{-3}$ | \ | \ | Adam | 0.2 | 0.0 | 0.0 | 1 | \ | +| California Housing | 100 | 100 | 50 | \ | \ | 0.5 | 0.5 | CCD | \ | 0.0 | 0.0 | 1 | \ | Where $\lambda_1$ and $\lambda_2$ are Lasso and Ridge regularization terms. diff --git a/baselines/flanders/flanders/__init__.py b/baselines/flanders/flanders/__init__.py index a5e567b59135..eb3edd489459 100644 --- a/baselines/flanders/flanders/__init__.py +++ b/baselines/flanders/flanders/__init__.py @@ -1 +1 @@ -"""Template baseline package.""" +"""FLANDERS package.""" diff --git a/baselines/flanders/flanders/conf/base.yaml b/baselines/flanders/flanders/conf/base.yaml index 237789bfbebd..62e0902e66c2 100644 --- a/baselines/flanders/flanders/conf/base.yaml +++ b/baselines/flanders/flanders/conf/base.yaml @@ -2,10 +2,10 @@ # this is the config that will be loaded as default by main.py # Please follow the provided structure (this will ensuring all baseline follow # a similar configuration structure and hence be easy to customise) -defaults: - - _self_ - - override hydra/hydra_logging: disabled - - override hydra/job_logging: disabled +#defaults: +# - _self_ +# - override hydra/hydra_logging: disabled +# - override hydra/job_logging: disabled hydra: output_subdir: null @@ -14,13 +14,21 @@ hydra: dataset: # dataset config + name: mnist model: # model config + _target_: flanders.models.MnistNet strategy: - _target_: # points to your strategy (either custom or exiting in Flower) - # rest of strategy config + _target_: flanders.strategy.Flanders + attack_fn: null + +server: + _target_: flanders.server.EnhancedServer + num_rounds: 2 + pool_size: 1 + num_malicious: 0 client: - # client config + # client config \ No newline at end of file diff --git a/baselines/flanders/flanders/dataset.py b/baselines/flanders/flanders/dataset.py index 859861af90f2..512ecca0408f 100644 --- a/baselines/flanders/flanders/dataset.py +++ b/baselines/flanders/flanders/dataset.py @@ -169,7 +169,7 @@ def __len__(self) -> int: return len(self.data) -def get_cifar_10(path_to_data="datasets/cifar_nn/data"): +def get_cifar_10(path_to_data="datasets/cifar_10/data"): """Downloads CIFAR10 dataset and generates a unified training set (it will be partitioned later using the LDA partitioning mechanism.""" diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index a1b205b3d72f..9c2860e26f5f 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -15,6 +15,7 @@ import numpy as np import flwr as fl from flwr.common.typing import Scalar +from flwr.server.client_manager import SimpleClientManager import torch import os import random @@ -42,6 +43,7 @@ get_sklearn_model_params ) from .utils import save_results +from .server import EnhancedServer from torch.utils.data import DataLoader from torchvision import transforms @@ -80,7 +82,8 @@ def main(cfg: DictConfig) -> None: # 1. Print parsed config print(OmegaConf.to_yaml(cfg)) - print(cfg.dataset) + print(cfg.dataset.name) + print(cfg.server.pool_size) evaluate_fn = mnist_evaluate @@ -92,27 +95,47 @@ def main(cfg: DictConfig) -> None: # be a location in the file system, a list of dataloader, a list of ids to extract # from a dataset, it's up to you) + # Managed by clients + # 3. Define your clients # Define a function that returns another function that will be used during # simulation to instantiate each individual client # client_fn = client.() - client = MnistClient - def client_fn(cid: int, pool_size: int): + def client_fn(cid: int, pool_size: int = 10, dataset_name: str = cfg.dataset.name): + if dataset_name == "mnist": + client = MnistClient + else: + raise NotImplementedError(f"Dataset {dataset_name} not implemented") return client(cid, pool_size) # 4. Define your strategy # pass all relevant argument (including the global dataset used after aggregation, # if needed by your method.) # strategy = instantiate(cfg.strategy, ) - strategy = instantiate(cfg.strategy) + strategy = instantiate( + cfg.strategy, + evaluate_fn=evaluate_fn, + on_fit_config_fn=fit_config, + fraction_fit=1, + fraction_evaluate=0, # no federated evaluation + min_fit_clients=1, + min_evaluate_clients=0, + warmup_rounds=1, + to_keep=1, # Used in Flanders, MultiKrum, TrimmedMean (in Bulyan it is forced to 1) + min_available_clients=1, # All clients should be available + window=1, # Used in Flanders + sampling=1, # Used in Flanders + ) # 5. Start Simulation # history = fl.simulation.start_simulation() - fl.simulation.start_simulation( + history = fl.simulation.start_simulation( client_fn=client_fn, - num_clients=cfg.pool_size, - config=fl.server.ServerConfig(num_rounds=cfg.num_rounds), + client_resources={"num_cpus": 1}, + num_clients=cfg.server.pool_size, + server=EnhancedServer(num_malicious=cfg.server.num_malicious, attack_fn=None, client_manager=SimpleClientManager), + config=fl.server.ServerConfig(num_rounds=cfg.server.num_rounds), strategy=strategy ) @@ -126,11 +149,19 @@ def client_fn(cid: int, pool_size: int): # can retrieve the path to that directory with this: # save_path = HydraConfig.get().runtime.output_dir +def fit_config(server_round: int) -> Dict[str, Scalar]: + """Return a configuration with static batch size and (local) epochs.""" + config = { + "epochs": 1, # number of local epochs + "batch_size": 32, + } + return config + def mnist_evaluate( server_round: int, parameters: fl.common.NDArrays, config: Dict[str, Scalar] ): # determine device - device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") + device = torch.device("cpu") model = MnistNet() set_params(model, parameters) @@ -140,12 +171,13 @@ def mnist_evaluate( testloader = DataLoader(testset, batch_size=32, shuffle=False, num_workers=1) loss, accuracy, auc = test_mnist(model, testloader, device=device) - config["id"] = args.exp_num + #config["id"] = args.exp_num config["round"] = server_round config["auc"] = auc save_results(loss, accuracy, config=config) + print(f"Round {server_round} accuracy: {accuracy} loss: {loss} auc: {auc}") - # return statistics return loss, {"accuracy": accuracy, "auc": auc} -main() \ No newline at end of file +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index 7b8177bc375e..edc059d16748 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -31,7 +31,7 @@ from flwr.server.history import History from flwr.server.strategy import FedAvg, Strategy -from utils import ( +from .utils import ( save_params, save_predicted_params, load_all_time_series, @@ -57,6 +57,7 @@ class EnhancedServer(Server): def __init__( self, + num_malicious: int, attack_fn:Optional[Callable], *args: Any, **kwargs: Any @@ -73,7 +74,7 @@ def fit_round( ) -> Optional[ Tuple[Optional[Parameters], Dict[str, Scalar], FitResultsAndFailures] ]: - """Perform a single round of federated averaging.""" + """Perform a single round of federated learning.""" # Get clients and their respective instructions from strategy client_instructions = self.strategy.configure_fit( server_round=server_round, @@ -81,6 +82,24 @@ def fit_round( client_manager=self._client_manager, ) + # Randomly decide which client is malicious + if server_round > self.warmup_rounds: + self.malicious_selected = np.random.choice( + [proxy.cid for proxy, ins in client_instructions], size=self.num_malicious, replace=False + ) + log( + DEBUG, + "fit_round %s: malicious clients selected %s", + server_round, + self.malicious_selected, + ) + # Save instruction for malicious clients into FitIns + for proxy, ins in client_instructions: + if proxy.cid in self.malicious_selected: + ins["malicious"] = True + else: + ins["malicious"] = False + if not client_instructions: log(INFO, "fit_round %s: no clients selected, cancel", server_round) return None diff --git a/baselines/flanders/pyproject.toml b/baselines/flanders/pyproject.toml index 9384975c368e..da7189902715 100644 --- a/baselines/flanders/pyproject.toml +++ b/baselines/flanders/pyproject.toml @@ -58,11 +58,6 @@ ruff = "==0.0.272" types-requests = "==2.27.7" virtualenv = "20.21.0" -[[tool.poetry.source]] -name = "natsort" -url = "natsort-8.4.0-py3-none-any.whl" -priority = "explicit" - [tool.isort] line_length = 88 indent = " " diff --git a/baselines/flanders/results/all_results.csv b/baselines/flanders/results/all_results.csv new file mode 100644 index 000000000000..17f97fc5edd0 --- /dev/null +++ b/baselines/flanders/results/all_results.csv @@ -0,0 +1,10 @@ +round,auc,accuracy,loss +0,0.46964516899616104,0.0442,721.8714995384216 +0,0.491341331757505,0.0895,721.0930316448212 +0,0.5039652172645966,0.0972,720.5661296844482 +0,0.48865788458612947,0.0811,721.8517775535583 +0,0.5018137886910315,0.1161,722.4481763839722 +0,0.4728194180869978,0.0515,722.6484620571136 +0,0.5070118697549717,0.1024,720.1501111984253 +0,0.5053153492209119,0.1089,721.5759069919586 +0,0.4998734219733104,0.098,721.5942440032959 From 9f8626273b6d7a9cfa689b8d5f1421c6ccd2164f Mon Sep 17 00:00:00 2001 From: edogab33 Date: Sun, 26 Nov 2023 13:28:44 +0100 Subject: [PATCH 09/91] Integrate custom server and fix strategy --- baselines/flanders/flanders/conf/base.yaml | 6 ++- baselines/flanders/flanders/main.py | 28 ++++++++--- baselines/flanders/flanders/server.py | 54 ++++++++++++++-------- baselines/flanders/flanders/strategy.py | 32 ++++++++++--- baselines/flanders/flanders/utils.py | 20 ++++---- 5 files changed, 97 insertions(+), 43 deletions(-) diff --git a/baselines/flanders/flanders/conf/base.yaml b/baselines/flanders/flanders/conf/base.yaml index 62e0902e66c2..0408c52df247 100644 --- a/baselines/flanders/flanders/conf/base.yaml +++ b/baselines/flanders/flanders/conf/base.yaml @@ -26,9 +26,11 @@ strategy: server: _target_: flanders.server.EnhancedServer - num_rounds: 2 - pool_size: 1 + num_rounds: 3 + pool_size: 2 num_malicious: 0 + warmup_rounds: 2 + sampling: 500 client: # client config \ No newline at end of file diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 9c2860e26f5f..1dde35fd6bda 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -85,6 +85,13 @@ def main(cfg: DictConfig) -> None: print(cfg.dataset.name) print(cfg.server.pool_size) + # Delete old client_params and clients_predicted_params + # TODO: parametrize this + if os.path.exists("clients_params"): + shutil.rmtree("clients_params") + if os.path.exists("clients_predicted_params"): + shutil.rmtree("clients_predicted_params") + evaluate_fn = mnist_evaluate # 2. Prepare your dataset @@ -118,12 +125,12 @@ def client_fn(cid: int, pool_size: int = 10, dataset_name: str = cfg.dataset.nam on_fit_config_fn=fit_config, fraction_fit=1, fraction_evaluate=0, # no federated evaluation - min_fit_clients=1, + min_fit_clients=2, min_evaluate_clients=0, - warmup_rounds=1, - to_keep=1, # Used in Flanders, MultiKrum, TrimmedMean (in Bulyan it is forced to 1) - min_available_clients=1, # All clients should be available - window=1, # Used in Flanders + warmup_rounds=2, + to_keep=2, # Used in Flanders, MultiKrum, TrimmedMean (in Bulyan it is forced to 1) + min_available_clients=2, # All clients should be available + window=2, # Used in Flanders sampling=1, # Used in Flanders ) @@ -132,9 +139,16 @@ def client_fn(cid: int, pool_size: int = 10, dataset_name: str = cfg.dataset.nam # history = fl.simulation.start_simulation() history = fl.simulation.start_simulation( client_fn=client_fn, - client_resources={"num_cpus": 1}, + client_resources={"num_cpus": 10}, num_clients=cfg.server.pool_size, - server=EnhancedServer(num_malicious=cfg.server.num_malicious, attack_fn=None, client_manager=SimpleClientManager), + server=EnhancedServer( + warmup_rounds=cfg.server.warmup_rounds, + num_malicious=cfg.server.num_malicious, + attack_fn=None, + client_manager=SimpleClientManager(), + strategy=strategy, + sampling=cfg.server.sampling, + ), config=fl.server.ServerConfig(num_rounds=cfg.server.num_rounds), strategy=strategy ) diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index edc059d16748..96b19016b63c 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -3,7 +3,7 @@ Optionally, also define a new Server class (please note this is not needed in most settings). """ -from flwr.server import Server +from flwr.server.server import fit_clients, Server import concurrent.futures import timeit @@ -58,13 +58,22 @@ class EnhancedServer(Server): def __init__( self, num_malicious: int, + warmup_rounds: int, attack_fn:Optional[Callable], + sampling: int = 0, *args: Any, **kwargs: Any ) -> None: """Initialize.""" + # TODO: Move all the parameters saving logic from the strategy to the server super().__init__(*args, **kwargs) + self.num_malicious = num_malicious + self.warmup_rounds = warmup_rounds + self.attack_fn = attack_fn + self.sampling = sampling + self.aggregated_parameters = [] + self.params_indexes = [] def fit_round( @@ -83,22 +92,24 @@ def fit_round( ) # Randomly decide which client is malicious - if server_round > self.warmup_rounds: - self.malicious_selected = np.random.choice( - [proxy.cid for proxy, ins in client_instructions], size=self.num_malicious, replace=False - ) - log( - DEBUG, - "fit_round %s: malicious clients selected %s", - server_round, - self.malicious_selected, - ) - # Save instruction for malicious clients into FitIns - for proxy, ins in client_instructions: - if proxy.cid in self.malicious_selected: - ins["malicious"] = True - else: - ins["malicious"] = False + size = self.num_malicious + if self.warmup_rounds > server_round: + size = 0 + self.malicious_selected = np.random.choice( + [proxy.cid for proxy, _ in client_instructions], size=size, replace=False + ) + log( + DEBUG, + "fit_round %s: malicious clients selected %s", + server_round, + self.malicious_selected, + ) + # Save instruction for malicious clients into FitIns + for proxy, ins in client_instructions: + if proxy.cid in self.malicious_selected: + ins.config["malicious"] = True + else: + ins.config["malicious"] = False if not client_instructions: log(INFO, "fit_round %s: no clients selected, cancel", server_round) @@ -112,10 +123,10 @@ def fit_round( ) # Collect `fit` results from all clients participating in this round - results, failures = super.fit_clients( + results, failures = fit_clients( client_instructions=client_instructions, max_workers=self.max_workers, - timeout=timeout, + timeout=timeout ) log( DEBUG, @@ -141,9 +152,11 @@ def fit_round( params = params[self.params_indexes] + print(f"fit_round 1 - Saving parameters of client {fitres.metrics['cid']} with shape {params.shape}") save_params(params, fitres.metrics['cid']) # Re-arrange results in the same order as clients' cids impose + print("fit_round - Re-arranging results in the same order as clients' cids impose") ordered_results[int(fitres.metrics['cid'])] = (proxy, fitres) # Initialize aggregated_parameters if it is the first round @@ -155,6 +168,7 @@ def fit_round( # Apply attack function if self.attack_fn is not None and server_round > self.warmup_rounds: + print("fit_round - Applying attack function") results, others = self.attack_fn( ordered_results, clients_state, magnitude=self.magnitude, w_re=self.aggregated_parameters, malicious_selected=self.malicious_selected, @@ -171,6 +185,7 @@ def fit_round( params = flatten_params(parameters_to_ndarrays(fitres.parameters))[self.params_indexes] else: params = flatten_params(parameters_to_ndarrays(fitres.parameters)) + print(f"fit_round 2 - Saving parameters of client {fitres.metrics['cid']} with shape {params.shape}") save_params(params, fitres.metrics['cid'], remove_last=True) else: results = ordered_results @@ -180,6 +195,7 @@ def fit_round( clients_state = {k: clients_state[k] for k in sorted(clients_state)} # Aggregate training results + print("fit_round - Aggregating training results") aggregated_result: Tuple[ Optional[Parameters], Dict[str, Scalar], diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index 3173492ec6b8..c145e0640338 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -86,6 +86,19 @@ def __init__( fit_metrics_aggregation_fn = fit_metrics_aggregation_fn, evaluate_metrics_aggregation_fn = evaluate_metrics_aggregation_fn ) + self.dataset_name = dataset_name + self.attack_name = attack_name + self.iid = iid + self.warmup_rounds = warmup_rounds + self.to_keep = to_keep + self.attack_fn = attack_fn + self.window = window + self.maxiter = maxiter + self.sampling = sampling + self.alpha = alpha + self.beta = beta + self.params_indexes = None + self.malicious_selected = False def aggregate_fit( @@ -118,31 +131,37 @@ def aggregate_fit( win = self.window if server_round < self.window: win = server_round - M = load_all_time_series(dir="strategy/clients_params", window=win) + M = load_all_time_series(dir="clients_params", window=win) M = np.transpose(M, (0, 2, 1)) # (clients, params, time) M_hat = M[:,:,-1].copy() pred_step = 1 - + print(f"aggregate_fit - Computing MAR on M {M.shape}") Mr = mar(M[:,:,:-1], pred_step, maxiter=self.maxiter, alpha=self.alpha, beta=self.beta) # TODO: generalize this to user-selected distance functions + print("aggregate_fit - Computing anomaly scores") delta = np.subtract(M_hat, Mr[:,:,0]) anomaly_scores = np.sum(delta**2,axis=-1)**(1./2) + print(f"aggregate_fit - Anomaly scores: {anomaly_scores}") + print("aggregate_fit - Selecting good clients") good_clients_idx = sorted(np.argsort(anomaly_scores)[:self.to_keep]) malicious_clients_idx = sorted(np.argsort(anomaly_scores)[self.to_keep:]) results = np.array(results)[good_clients_idx].tolist() - + print(f"aggregate_fit - Good clients: {good_clients_idx}") + + print(f"aggregate_fit - clients_state: {clients_state}") for idx in good_clients_idx: - if clients_state[idx]: + if clients_state[str(idx)]: self.malicious_selected = True break else: self.malicious_selected = False # Apply FedAvg for the remaining clients + print("aggregate_fit - Applying FedAvg for the remaining clients") parameters_aggregated, metrics_aggregated = super().aggregate_fit(server_round, results, failures) # For clients detected as malicious, set their parameters to be the averaged ones in their files @@ -153,7 +172,8 @@ def aggregate_fit( new_params = flatten_params(parameters_to_ndarrays(parameters_aggregated))[self.params_indexes] else: new_params = flatten_params(parameters_to_ndarrays(parameters_aggregated)) - save_params(new_params, idx, remove_last=True, rrl=True) + print(f"aggregate_fit - Saving parameters of client {idx} with shape {new_params.shape}") + save_params(new_params, idx, dir="clients_params", remove_last=True, rrl=True) else: # Apply FedAvg on the first round parameters_aggregated, metrics_aggregated = super().aggregate_fit(server_round, results, failures) @@ -174,7 +194,7 @@ def mar(X, pred_step, alpha=1, beta=1, maxiter=100, window=0): B = np.random.randn(n, n) X_norm = (X-np.min(X))/np.max(X) - for it in range(maxiter): + for _ in range(maxiter): temp0 = B.T @ B temp1 = np.zeros((m, m)) temp2 = np.zeros((m, m)) diff --git a/baselines/flanders/flanders/utils.py b/baselines/flanders/flanders/utils.py index fffee0f125d3..6c704a374d68 100644 --- a/baselines/flanders/flanders/utils.py +++ b/baselines/flanders/flanders/utils.py @@ -17,7 +17,7 @@ lock = Lock() # if the script is run on multiple processors we need a lock to save the results -def save_params(parameters, cid, remove_last=False, rrl=False): +def save_params(parameters, cid, dir="clients_params", remove_last=False, rrl=False): """ Args: - parameters (ndarray): decoded parameters to append at the end of the file @@ -26,21 +26,22 @@ def save_params(parameters, cid, remove_last=False, rrl=False): - rrl (bool): if True, remove the last saved parameters and replace with the ones saved before this round """ new_params = parameters - # Save parameters in client_params/cid_params - path = f"strategy/clients_params/{cid}_params.npy" - if os.path.exists("strategy/clients_params") == False: - os.mkdir("strategy/clients_params") - if os.path.exists(path): + # Save parameters in clients_params/cid_params + path_file = f"{dir}/{cid}_params.npy" + if os.path.exists(dir) == False: + os.mkdir(dir) + if os.path.exists(path_file): # load old parameters - old_params = np.load(path, allow_pickle=True) + old_params = np.load(path_file, allow_pickle=True) if remove_last: old_params = old_params[:-1] if rrl: new_params = old_params[-1] # add new parameters new_params = np.vstack((old_params, new_params)) + print(f"new_params shape of {cid}: {new_params.shape}") # save parameters - np.save(path, new_params) + np.save(path_file, new_params) def save_predicted_params(parameters, cid): @@ -80,7 +81,7 @@ def save_results(loss, accuracy, config=None): df.to_csv(csv_path, index=False, header=True) -def load_all_time_series(dir="", window=0): +def load_all_time_series(dir="clients_params", window=0): """ Load all time series in order to have a tensor of shape (m,T,n) where: @@ -93,6 +94,7 @@ def load_all_time_series(dir="", window=0): data = [] for file in files: data.append(np.load(os.path.join(dir, file), allow_pickle=True)) + return np.array(data)[:,-window:,:] From 6a3b5f265d9a9e2d28e854c2e07b9c3133cc20a2 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Mon, 27 Nov 2023 12:50:34 +0100 Subject: [PATCH 10/91] Generalize and parametrize distance functions to compute anomaly scores --- baselines/flanders/flanders/main.py | 13 +++++++------ baselines/flanders/flanders/strategy.py | 12 ++++++------ baselines/flanders/flanders/utils.py | 20 ++++++++++++++++++++ 3 files changed, 33 insertions(+), 12 deletions(-) diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 1dde35fd6bda..07469b71b3b9 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -42,7 +42,7 @@ set_sklearn_model_params, get_sklearn_model_params ) -from .utils import save_results +from .utils import save_results, l2_norm from .server import EnhancedServer from torch.utils.data import DataLoader @@ -124,14 +124,15 @@ def client_fn(cid: int, pool_size: int = 10, dataset_name: str = cfg.dataset.nam evaluate_fn=evaluate_fn, on_fit_config_fn=fit_config, fraction_fit=1, - fraction_evaluate=0, # no federated evaluation + fraction_evaluate=0, min_fit_clients=2, min_evaluate_clients=0, warmup_rounds=2, - to_keep=2, # Used in Flanders, MultiKrum, TrimmedMean (in Bulyan it is forced to 1) - min_available_clients=2, # All clients should be available - window=2, # Used in Flanders - sampling=1, # Used in Flanders + to_keep=2, + min_available_clients=2, + window=2, + sampling=1, + distance_function=l2_norm ) diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index c145e0640338..94a07ba3a28e 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -63,7 +63,8 @@ def __init__( maxiter: int = 100, sampling: str = None, alpha: float = 1, - beta: float = 1 + beta: float = 1, + distance_function: Callable = None, ) -> None: """ Parameters @@ -99,6 +100,7 @@ def __init__( self.beta = beta self.params_indexes = None self.malicious_selected = False + self.distance_function = distance_function def aggregate_fit( @@ -109,7 +111,7 @@ def aggregate_fit( clients_state: List[bool], ) -> Tuple[Optional[Parameters], Dict[str, Scalar]]: """ - Apply MAR forecasting to exclude malicious clients from the average. + Apply MAR forecasting to exclude malicious clients from FedAvg. Parameters ---------- @@ -140,10 +142,8 @@ def aggregate_fit( print(f"aggregate_fit - Computing MAR on M {M.shape}") Mr = mar(M[:,:,:-1], pred_step, maxiter=self.maxiter, alpha=self.alpha, beta=self.beta) - # TODO: generalize this to user-selected distance functions print("aggregate_fit - Computing anomaly scores") - delta = np.subtract(M_hat, Mr[:,:,0]) - anomaly_scores = np.sum(delta**2,axis=-1)**(1./2) + anomaly_scores = self.distance_function(M_hat, Mr[:,:,0]) print(f"aggregate_fit - Anomaly scores: {anomaly_scores}") print("aggregate_fit - Selecting good clients") @@ -151,7 +151,7 @@ def aggregate_fit( malicious_clients_idx = sorted(np.argsort(anomaly_scores)[self.to_keep:]) results = np.array(results)[good_clients_idx].tolist() print(f"aggregate_fit - Good clients: {good_clients_idx}") - + print(f"aggregate_fit - clients_state: {clients_state}") for idx in good_clients_idx: if clients_state[str(idx)]: diff --git a/baselines/flanders/flanders/utils.py b/baselines/flanders/flanders/utils.py index 6c704a374d68..1eb1347b2f22 100644 --- a/baselines/flanders/flanders/utils.py +++ b/baselines/flanders/flanders/utils.py @@ -17,6 +17,26 @@ lock = Lock() # if the script is run on multiple processors we need a lock to save the results +def l2_norm(true_matrix, predicted_matrix): + """ + Compute the l2 norm between two matrices. + + Parameters + ---------- + true_matrix : ndarray + The true matrix. + predicted_matrix : ndarray + The predicted matrix by MAR. + + Returns + ------- + anomaly_scores : ndarray + 1-d array of anomaly scores. + """ + delta = np.subtract(true_matrix, predicted_matrix) + anomaly_scores = np.sum(delta**2,axis=-1)**(1./2) + return anomaly_scores + def save_params(parameters, cid, dir="clients_params", remove_last=False, rrl=False): """ Args: From 3daa7d684575fd447fd21b7843b69f7d2dcd3ba8 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Wed, 6 Dec 2023 17:51:38 +0100 Subject: [PATCH 11/91] Move the history saving logic into the server --- baselines/flanders/flanders/attacks.py | 1 - baselines/flanders/flanders/conf/base.yaml | 1 + baselines/flanders/flanders/main.py | 43 +++------------------- baselines/flanders/flanders/server.py | 25 +++++++++---- baselines/flanders/flanders/strategy.py | 19 +++------- baselines/flanders/flanders/utils.py | 40 +++++++++++++++++++- 6 files changed, 68 insertions(+), 61 deletions(-) diff --git a/baselines/flanders/flanders/attacks.py b/baselines/flanders/flanders/attacks.py index 19492a8c3828..7cd2df025002 100644 --- a/baselines/flanders/flanders/attacks.py +++ b/baselines/flanders/flanders/attacks.py @@ -135,7 +135,6 @@ def fang_attack( if old_lambda > threshold and malicious_selected == False: l = old_lambda * 0.5 - # Compute sign vector s magnitude = [] for i in range(len(w_re)): diff --git a/baselines/flanders/flanders/conf/base.yaml b/baselines/flanders/flanders/conf/base.yaml index 0408c52df247..c8a105100204 100644 --- a/baselines/flanders/flanders/conf/base.yaml +++ b/baselines/flanders/flanders/conf/base.yaml @@ -31,6 +31,7 @@ server: num_malicious: 0 warmup_rounds: 2 sampling: 500 + history_dir: clients_params client: # client config \ No newline at end of file diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 07469b71b3b9..0c20867d8c33 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -22,15 +22,7 @@ import pandas as pd from typing import Dict, Callable, Optional, Tuple, List -from .models import ( - MnistNet, - ToyNN, - roc_auc_multiclass, - test_toy, - train_mnist, - test_mnist, - train_toy -) + from .client import ( CifarClient, HouseClient, @@ -42,7 +34,7 @@ set_sklearn_model_params, get_sklearn_model_params ) -from .utils import save_results, l2_norm +from .utils import l2_norm, mnist_evaluate from .server import EnhancedServer from torch.utils.data import DataLoader @@ -86,11 +78,8 @@ def main(cfg: DictConfig) -> None: print(cfg.server.pool_size) # Delete old client_params and clients_predicted_params - # TODO: parametrize this - if os.path.exists("clients_params"): - shutil.rmtree("clients_params") - if os.path.exists("clients_predicted_params"): - shutil.rmtree("clients_predicted_params") + if os.path.exists(cfg.server.history_dir): + shutil.rmtree(cfg.server.history_dir) evaluate_fn = mnist_evaluate @@ -135,7 +124,6 @@ def client_fn(cid: int, pool_size: int = 10, dataset_name: str = cfg.dataset.nam distance_function=l2_norm ) - # 5. Start Simulation # history = fl.simulation.start_simulation() history = fl.simulation.start_simulation( @@ -149,6 +137,7 @@ def client_fn(cid: int, pool_size: int = 10, dataset_name: str = cfg.dataset.nam client_manager=SimpleClientManager(), strategy=strategy, sampling=cfg.server.sampling, + history_dir=cfg.server.history_dir ), config=fl.server.ServerConfig(num_rounds=cfg.server.num_rounds), strategy=strategy @@ -172,27 +161,5 @@ def fit_config(server_round: int) -> Dict[str, Scalar]: } return config -def mnist_evaluate( - server_round: int, parameters: fl.common.NDArrays, config: Dict[str, Scalar] -): - # determine device - device = torch.device("cpu") - - model = MnistNet() - set_params(model, parameters) - model.to(device) - - testset = MNIST("", train=False, download=True, transform=transforms.ToTensor()) - testloader = DataLoader(testset, batch_size=32, shuffle=False, num_workers=1) - loss, accuracy, auc = test_mnist(model, testloader, device=device) - - #config["id"] = args.exp_num - config["round"] = server_round - config["auc"] = auc - save_results(loss, accuracy, config=config) - print(f"Round {server_round} accuracy: {accuracy} loss: {loss} auc: {auc}") - - return loss, {"accuracy": accuracy, "auc": auc} - if __name__ == "__main__": main() \ No newline at end of file diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index 96b19016b63c..791306504273 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -61,6 +61,7 @@ def __init__( warmup_rounds: int, attack_fn:Optional[Callable], sampling: int = 0, + history_dir: str = "clients_params", *args: Any, **kwargs: Any ) -> None: @@ -74,6 +75,7 @@ def __init__( self.sampling = sampling self.aggregated_parameters = [] self.params_indexes = [] + self.history_dir = history_dir def fit_round( @@ -153,7 +155,7 @@ def fit_round( params = params[self.params_indexes] print(f"fit_round 1 - Saving parameters of client {fitres.metrics['cid']} with shape {params.shape}") - save_params(params, fitres.metrics['cid']) + save_params(params, fitres.metrics['cid'], dir=self.history_dir) # Re-arrange results in the same order as clients' cids impose print("fit_round - Re-arranging results in the same order as clients' cids impose") @@ -186,7 +188,7 @@ def fit_round( else: params = flatten_params(parameters_to_ndarrays(fitres.parameters)) print(f"fit_round 2 - Saving parameters of client {fitres.metrics['cid']} with shape {params.shape}") - save_params(params, fitres.metrics['cid'], remove_last=True) + save_params(params, fitres.metrics['cid'], dir=self.history_dir, remove_last=True) else: results = ordered_results others = {} @@ -196,10 +198,19 @@ def fit_round( # Aggregate training results print("fit_round - Aggregating training results") - aggregated_result: Tuple[ - Optional[Parameters], - Dict[str, Scalar], - ] = self.strategy.aggregate_fit(server_round, results, failures, clients_state) + aggregated_result = self.strategy.aggregate_fit(server_round, results, failures, clients_state) + + parameters_aggregated, metrics_aggregated, malicious_clients_idx = aggregated_result + print(f"fit_round - Malicious clients: {malicious_clients_idx}") + # For clients detected as malicious, set their parameters to be the averaged ones in their files + # otherwise the forecasting in next round won't be reliable + if self.warmup_rounds > server_round: + print(f"fit_round - Saving parameters of clients") + for idx in malicious_clients_idx: + if self.sampling > 0: + new_params = flatten_params(parameters_to_ndarrays(parameters_aggregated))[self.params_indexes] + else: + new_params = flatten_params(parameters_to_ndarrays(parameters_aggregated)) + save_params(new_params, idx, dir=self.history_dir, remove_last=True, rrl=True) - parameters_aggregated, metrics_aggregated = aggregated_result return parameters_aggregated, metrics_aggregated, (results, failures) diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index 94a07ba3a28e..d5d0b9d82049 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -128,7 +128,10 @@ def aggregate_fit( Aggregated parameters. metrics_aggregated: Dict[str, Scalar] Aggregated metrics. + malicious_clients_idx: List[int] + List of malicious clients' cids (indexes). """ + malicious_clients_idx = [] if server_round > 1: win = self.window if server_round < self.window: @@ -136,7 +139,6 @@ def aggregate_fit( M = load_all_time_series(dir="clients_params", window=win) M = np.transpose(M, (0, 2, 1)) # (clients, params, time) - M_hat = M[:,:,-1].copy() pred_step = 1 print(f"aggregate_fit - Computing MAR on M {M.shape}") @@ -163,22 +165,11 @@ def aggregate_fit( # Apply FedAvg for the remaining clients print("aggregate_fit - Applying FedAvg for the remaining clients") parameters_aggregated, metrics_aggregated = super().aggregate_fit(server_round, results, failures) - - # For clients detected as malicious, set their parameters to be the averaged ones in their files - # otherwise the forecasting in next round won't be reliable - if self.warmup_rounds > server_round: - for idx in malicious_clients_idx: - if self.sampling > 0: - new_params = flatten_params(parameters_to_ndarrays(parameters_aggregated))[self.params_indexes] - else: - new_params = flatten_params(parameters_to_ndarrays(parameters_aggregated)) - print(f"aggregate_fit - Saving parameters of client {idx} with shape {new_params.shape}") - save_params(new_params, idx, dir="clients_params", remove_last=True, rrl=True) else: - # Apply FedAvg on the first round + # Apply FedAvg on every clients' params during the first round parameters_aggregated, metrics_aggregated = super().aggregate_fit(server_round, results, failures) - return parameters_aggregated, metrics_aggregated + return parameters_aggregated, metrics_aggregated, malicious_clients_idx def mar(X, pred_step, alpha=1, beta=1, maxiter=100, window=0): ''' diff --git a/baselines/flanders/flanders/utils.py b/baselines/flanders/flanders/utils.py index 1eb1347b2f22..eeafc6de96d6 100644 --- a/baselines/flanders/flanders/utils.py +++ b/baselines/flanders/flanders/utils.py @@ -5,6 +5,7 @@ import numpy as np import os import json +import torch import pandas as pd from natsort import natsorted from typing import Dict, Optional, Tuple, List @@ -12,8 +13,23 @@ Parameters, Scalar, parameters_to_ndarrays, + NDArrays, ) from threading import Lock +from torch.utils.data import DataLoader +from torchvision import transforms +from torchvision.datasets import MNIST + +from .models import ( + MnistNet, + ToyNN, + roc_auc_multiclass, + test_toy, + train_mnist, + test_mnist, + train_toy +) +from .client import set_params lock = Lock() # if the script is run on multiple processors we need a lock to save the results @@ -153,4 +169,26 @@ def evaluate_aggregated( if eval_res is None: return None loss, metrics = eval_res - return loss, metrics \ No newline at end of file + return loss, metrics + +def mnist_evaluate( + server_round: int, parameters: NDArrays, config: Dict[str, Scalar] +): + # determine device + device = torch.device("cpu") + + model = MnistNet() + set_params(model, parameters) + model.to(device) + + testset = MNIST("", train=False, download=True, transform=transforms.ToTensor()) + testloader = DataLoader(testset, batch_size=32, shuffle=False, num_workers=1) + loss, accuracy, auc = test_mnist(model, testloader, device=device) + + #config["id"] = args.exp_num + config["round"] = server_round + config["auc"] = auc + save_results(loss, accuracy, config=config) + print(f"Round {server_round} accuracy: {accuracy} loss: {loss} auc: {auc}") + + return loss, {"accuracy": accuracy, "auc": auc} From 7175ebb139af549ac8f8a548f600849287fb96b6 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Tue, 12 Dec 2023 16:48:20 +0100 Subject: [PATCH 12/91] Implement attacks --- baselines/flanders/flanders/attacks.py | 67 ++++++++++++++++++++-- baselines/flanders/flanders/conf/base.yaml | 9 +-- baselines/flanders/flanders/main.py | 36 +++++++++--- baselines/flanders/flanders/server.py | 46 +++++++++------ baselines/flanders/flanders/strategy.py | 29 ++++++++-- 5 files changed, 150 insertions(+), 37 deletions(-) diff --git a/baselines/flanders/flanders/attacks.py b/baselines/flanders/flanders/attacks.py index 7cd2df025002..38d7cb563872 100644 --- a/baselines/flanders/flanders/attacks.py +++ b/baselines/flanders/flanders/attacks.py @@ -1,19 +1,17 @@ import math import numpy as np -import matplotlib.pyplot as plt from typing import Dict, List, Tuple from flwr.common import ( ndarrays_to_parameters, parameters_to_ndarrays, FitRes, NDArrays, + NDArray, Parameters, ) from flwr.server.client_proxy import ClientProxy from scipy.stats import norm - -from utilities import flatten_params -from strategy.krum import krum, _compute_distances +#from strategy.krum import krum, _compute_distances def no_attack( ordered_results:List[Tuple[ClientProxy, FitRes]], @@ -38,7 +36,9 @@ def gaussian_attack( if dataset_name == "income": new_params = [perturbate(layer) for layer in params] else: - new_params = np.apply_along_axis(perturbate, 0, params) + new_params = [] + for p in params: + new_params.append(np.apply_along_axis(perturbate, 0, p)) fitres.parameters = ndarrays_to_parameters(new_params) results[int(fitres.metrics['cid'])] = (proxy, fitres) return results, {} @@ -62,6 +62,7 @@ def lie_attack( if s < 0: s = 1 z_max = norm.ppf((n - m - s) / (n - m)) + for proxy, fitres in ordered_results: if states[fitres.metrics["cid"]]: mul_std = [layer * z_max for layer in grads_stdev] @@ -100,6 +101,8 @@ def fang_attack( n = len(ordered_results) # number of clients c = sum(val == True for val in states.values()) # number of corrupted clients + if c < 2: + c = 2 # lambda initialization if old_lambda == 0: @@ -237,4 +240,56 @@ def minmax_attack( if states[fitres.metrics["cid"]]: fitres.parameters = corrupted_params results[int(fitres.metrics['cid'])] = (proxy, fitres) - return results, {"lambda": l} \ No newline at end of file + return results, {"lambda": l} + +def krum(results: List[Tuple[List, int]], m: int, to_keep: int, num_closest=None): + """ + Get the best parameters vector according to the Krum function. + Output: the best parameters vector. + """ + weights = [w for w, _ in results] # list of weights + M = _compute_distances(weights) # matrix of distances + + if not num_closest: + num_closest = len(weights) - m - 2 # number of closest points to use + if num_closest <= 0: + num_closest = 1 + elif num_closest > len(weights): + num_closest = len(weights) + + closest_indices = _get_closest_indices(M, num_closest) # indices of closest points + scores = [np.sum(M[i,closest_indices[i]]) for i in range(len(M))] # scores i->j for each i + + best_index = np.argmin(scores) # index of the best score + best_indices = np.argsort(scores)[::-1][len(scores)-to_keep:] # indices of best scores (multikrum) + return weights[best_index], best_index, best_indices, scores + + +def _compute_distances(weights: List[NDArrays]) -> NDArray: + """Compute distances between vectors. + + Input: weights - list of weights vectors + Output: distances - matrix distance_matrix of squared distances between the vectors + """ + flat_w = np.array([np.concatenate(p, axis=None).ravel() for p in weights]) + distance_matrix = np.zeros((len(weights), len(weights))) + for i, _ in enumerate(flat_w): + for j, _ in enumerate(flat_w): + delta = flat_w[i] - flat_w[j] + norm = np.linalg.norm(delta) + distance_matrix[i, j] = norm**2 + return distance_matrix + +def _get_closest_indices(M, num_closest: int) -> List[int]: + """ + Get the indices of the closest points. + Input: + M - matrix of squared distances between the vectors + num_closest - number of closest points to get for each parameter vector + Output: + closest_indices - list of lists of indices of the closest points for each parameter vector + """ + closest_indices = [] + for i in range(len(M)): + closest_indices.append(np.argsort(M[i])[1:num_closest+1].tolist()) + return closest_indices \ No newline at end of file diff --git a/baselines/flanders/flanders/conf/base.yaml b/baselines/flanders/flanders/conf/base.yaml index c8a105100204..eab2b6421dac 100644 --- a/baselines/flanders/flanders/conf/base.yaml +++ b/baselines/flanders/flanders/conf/base.yaml @@ -22,16 +22,17 @@ model: strategy: _target_: flanders.strategy.Flanders - attack_fn: null server: _target_: flanders.server.EnhancedServer num_rounds: 3 - pool_size: 2 - num_malicious: 0 - warmup_rounds: 2 + pool_size: 3 + num_malicious: 1 + warmup_rounds: 1 sampling: 500 history_dir: clients_params + magnitude: 100 + attack_fn: minmax_attack client: # client config \ No newline at end of file diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 0c20867d8c33..30dec8c38b4f 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -34,6 +34,13 @@ set_sklearn_model_params, get_sklearn_model_params ) +from .attacks import ( + fang_attack, + gaussian_attack, + lie_attack, + no_attack, + minmax_attack +) from .utils import l2_norm, mnist_evaluate from .server import EnhancedServer @@ -83,6 +90,22 @@ def main(cfg: DictConfig) -> None: evaluate_fn = mnist_evaluate + attacks = { + "no_attack": no_attack, + "gaussian_attack": gaussian_attack, + "lie_attack": lie_attack, + "fang_attack": fang_attack, + "minmax_attack": minmax_attack + } + + clients = { + "mnist": MnistClient, + "cifar": CifarClient, + "house": HouseClient, + "income": IncomeClient, + "toy": ToyClient + } + # 2. Prepare your dataset # here you should call a function in datasets.py that returns whatever is needed to: # (1) ensure the server can access the dataset used to evaluate your model after @@ -98,10 +121,7 @@ def main(cfg: DictConfig) -> None: # simulation to instantiate each individual client # client_fn = client.() def client_fn(cid: int, pool_size: int = 10, dataset_name: str = cfg.dataset.name): - if dataset_name == "mnist": - client = MnistClient - else: - raise NotImplementedError(f"Dataset {dataset_name} not implemented") + client = clients[dataset_name] return client(cid, pool_size) # 4. Define your strategy @@ -117,7 +137,7 @@ def client_fn(cid: int, pool_size: int = 10, dataset_name: str = cfg.dataset.nam min_fit_clients=2, min_evaluate_clients=0, warmup_rounds=2, - to_keep=2, + to_keep=1, min_available_clients=2, window=2, sampling=1, @@ -133,11 +153,13 @@ def client_fn(cid: int, pool_size: int = 10, dataset_name: str = cfg.dataset.nam server=EnhancedServer( warmup_rounds=cfg.server.warmup_rounds, num_malicious=cfg.server.num_malicious, - attack_fn=None, + attack_fn=attacks[cfg.server.attack_fn], + magnitude=cfg.server.magnitude, client_manager=SimpleClientManager(), strategy=strategy, sampling=cfg.server.sampling, - history_dir=cfg.server.history_dir + history_dir=cfg.server.history_dir, + dataset_name=cfg.dataset.name, ), config=fl.server.ServerConfig(num_rounds=cfg.server.num_rounds), strategy=strategy diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index 791306504273..9d343210028a 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -59,7 +59,11 @@ def __init__( self, num_malicious: int, warmup_rounds: int, - attack_fn:Optional[Callable], + attack_fn:Callable, + dataset_name: str, + threshold: float = 0.0, + to_keep: int = 1, + magnitude: float = 0.0, sampling: int = 0, history_dir: str = "clients_params", *args: Any, @@ -67,7 +71,6 @@ def __init__( ) -> None: """Initialize.""" - # TODO: Move all the parameters saving logic from the strategy to the server super().__init__(*args, **kwargs) self.num_malicious = num_malicious self.warmup_rounds = warmup_rounds @@ -76,6 +79,12 @@ def __init__( self.aggregated_parameters = [] self.params_indexes = [] self.history_dir = history_dir + self.dataset_name = dataset_name + self.magnitude = magnitude + self.malicious_selected = False + self.threshold = threshold + self.old_lambda = 0.0 + self.to_keep = to_keep def fit_round( @@ -93,10 +102,22 @@ def fit_round( client_manager=self._client_manager, ) + if not client_instructions: + log(INFO, "fit_round %s: no clients selected, cancel", server_round) + return None + log( + DEBUG, + "fit_round %s: strategy sampled %s clients (out of %s)", + server_round, + len(client_instructions), + self._client_manager.num_available(), + ) + # Randomly decide which client is malicious size = self.num_malicious if self.warmup_rounds > server_round: size = 0 + print(f"fit_round - Selecting {size} malicious clients") self.malicious_selected = np.random.choice( [proxy.cid for proxy, _ in client_instructions], size=size, replace=False ) @@ -113,17 +134,8 @@ def fit_round( else: ins.config["malicious"] = False - if not client_instructions: - log(INFO, "fit_round %s: no clients selected, cancel", server_round) - return None - log( - DEBUG, - "fit_round %s: strategy sampled %s clients (out of %s)", - server_round, - len(client_instructions), - self._client_manager.num_available(), - ) - + for proxy, ins in client_instructions: + print(f"fit_round - Client {proxy.cid} malicious: {ins.config['malicious']}") # Collect `fit` results from all clients participating in this round results, failures = fit_clients( client_instructions=client_instructions, @@ -169,14 +181,15 @@ def fit_round( break # Apply attack function + # the server simulates an attacker that controls a fraction of the clients if self.attack_fn is not None and server_round > self.warmup_rounds: print("fit_round - Applying attack function") results, others = self.attack_fn( ordered_results, clients_state, magnitude=self.magnitude, w_re=self.aggregated_parameters, malicious_selected=self.malicious_selected, threshold=self.threshold, d=len(self.aggregated_parameters), old_lambda=self.old_lambda, - dataset_name=self.dataset_name, agr_function=self.strategy_name, to_keep = self.to_keep, - malicious_num=self.m[-1] + dataset_name=self.dataset_name, to_keep = self.to_keep, + malicious_num=self.num_malicious ) self.old_lambda = others.get('lambda', 0.0) @@ -195,6 +208,7 @@ def fit_round( # Sort clients states clients_state = {k: clients_state[k] for k in sorted(clients_state)} + print(f"fit_round - Clients state: {clients_state}") # Aggregate training results print("fit_round - Aggregating training results") @@ -213,4 +227,4 @@ def fit_round( new_params = flatten_params(parameters_to_ndarrays(parameters_aggregated)) save_params(new_params, idx, dir=self.history_dir, remove_last=True, rrl=True) - return parameters_aggregated, metrics_aggregated, (results, failures) + return parameters_aggregated, metrics_aggregated, (results, failures) \ No newline at end of file diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index d5d0b9d82049..b3a6f06b964e 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -2,6 +2,7 @@ from typing import Callable, Dict, List, Optional, Tuple, Union from flwr.server.strategy.fedavg import FedAvg +from flwr.server.client_manager import ClientManager from .utils import ( save_params, save_predicted_params, @@ -16,7 +17,7 @@ NDArrays, Parameters, Scalar, - parameters_to_ndarrays, + FitIns, ) from flwr.server.client_proxy import ClientProxy @@ -58,7 +59,6 @@ def __init__( iid: bool = True, warmup_rounds: int = 1, to_keep: int = 1, - attack_fn: Optional[Callable], window: int = 0, maxiter: int = 100, sampling: str = None, @@ -92,7 +92,6 @@ def __init__( self.iid = iid self.warmup_rounds = warmup_rounds self.to_keep = to_keep - self.attack_fn = attack_fn self.window = window self.maxiter = maxiter self.sampling = sampling @@ -102,7 +101,29 @@ def __init__( self.malicious_selected = False self.distance_function = distance_function - + def configure_fit( + self, server_round: int, parameters: Parameters, client_manager: ClientManager + ) -> List[Tuple[ClientProxy, FitIns]]: + """Configure the next round of training.""" + + # Sample clients + sample_size, min_num_clients = self.num_fit_clients( + client_manager.num_available() + ) + + # Custom FitIns object for each client + fit_ins_list = [ + FitIns(parameters, {} if not self.on_fit_config_fn else self.on_fit_config_fn(server_round)) + for _ in range(sample_size) + ] + + clients = client_manager.sample( + num_clients=sample_size, min_num_clients=min_num_clients + ) + + # Return client/config pairs + return [(client, fit) for client, fit in zip(clients, fit_ins_list)] + def aggregate_fit( self, server_round: int, From 3f07d9e9e4d34ce512fc74213273e43614c0a088 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Wed, 13 Dec 2023 17:47:58 +0100 Subject: [PATCH 13/91] Fix all clients and datasets --- baselines/flanders/flanders/attacks.py | 2 + baselines/flanders/flanders/client.py | 54 +- baselines/flanders/flanders/conf/base.yaml | 2 +- baselines/flanders/flanders/dataset.py | 81 +- .../flanders/datasets_files/adult.csv | 39073 ++++++++++++++++ .../flanders/datasets_files/adult_server.csv | 9771 ++++ .../datasets_files/houses_preprocessed.csv | 15740 +++++++ .../flanders/datasets_files/houses_server.csv | 3937 ++ baselines/flanders/flanders/main.py | 63 +- baselines/flanders/flanders/models.py | 48 +- baselines/flanders/flanders/strategy.py | 2 +- baselines/flanders/flanders/utils.py | 82 +- baselines/flanders/pyproject.toml | 2 +- baselines/flanders/results/all_results.csv | 356 + 14 files changed, 69048 insertions(+), 165 deletions(-) create mode 100644 baselines/flanders/flanders/datasets_files/adult.csv create mode 100644 baselines/flanders/flanders/datasets_files/adult_server.csv create mode 100644 baselines/flanders/flanders/datasets_files/houses_preprocessed.csv create mode 100644 baselines/flanders/flanders/datasets_files/houses_server.csv diff --git a/baselines/flanders/flanders/attacks.py b/baselines/flanders/flanders/attacks.py index 38d7cb563872..2a33847b0c25 100644 --- a/baselines/flanders/flanders/attacks.py +++ b/baselines/flanders/flanders/attacks.py @@ -102,6 +102,8 @@ def fang_attack( n = len(ordered_results) # number of clients c = sum(val == True for val in states.values()) # number of corrupted clients if c < 2: + # there can't be an attack with less than 2 malicious clients + # to avoid division by 0 c = 2 # lambda initialization diff --git a/baselines/flanders/flanders/client.py b/baselines/flanders/flanders/client.py index d01b23fc4606..37e695163d22 100644 --- a/baselines/flanders/flanders/client.py +++ b/baselines/flanders/flanders/client.py @@ -12,9 +12,9 @@ from collections import OrderedDict from typing import Dict, List, Union, Tuple from pathlib import Path -from .dataset import get_mnist, do_fl_partitioning, get_circles -from .models import CifarNet, train_cifar, test_cifar, MnistNet, ToyNN, test_toy, train_mnist, test_mnist, train_toy -from sklearn.linear_model import LogisticRegression, LinearRegression, Ridge, Lasso, ElasticNet +from .dataset import get_mnist, do_fl_partitioning, get_dataloader +from .models import CifarNet, train_cifar, test_cifar, MnistNet, train_mnist, test_mnist +from sklearn.linear_model import LogisticRegression, ElasticNet from sklearn.metrics import accuracy_score, log_loss XY = Tuple[np.ndarray, np.ndarray] @@ -104,7 +104,7 @@ def fit(self, parameters, config): # Load data for this client and get trainloader num_workers = 1 - trainloader = get_mnist("datasets", 32, self.cid, nb_clients=self.pool_size, is_train=True, workers=num_workers) + trainloader = get_mnist("flanders/datasets_files", 32, self.cid, nb_clients=self.pool_size, is_train=True, workers=num_workers) # Send model to device self.net.to(self.device) @@ -232,48 +232,4 @@ def fit(self, parameters, config): return new_parameters, len(self.x_train), {"malicious": config["malicious"], "cid": self.cid} def evaluate(self, parameters, config): - return 0, 0, {"accuracy": 0} - - -class ToyClient(fl.client.NumPyClient): - def __init__(self, cid: str, pool_size: int): - self.cid = cid - self.properties: Dict[str, Scalar] = {"tensor_type": "numpy.ndarray"} - self.net = ToyNN() - self.device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") - - def get_parameters(self, config): - return get_params(self.net) - - def fit(self, parameters, config): - set_params(self.net, parameters) - - # Load data for this client and get trainloader - #num_workers = len(ray.worker.get_resource_ids()["CPU"]) - num_workers = 1 - trainloader = get_circles(32, n_samples=10000, workers=num_workers, is_train=True) - - self.net.to(self.device) - train_toy(self.net, trainloader, epochs=config["epochs"], device=self.device) - - new_parameters = self.get_parameters(config={}) - - # Return local model and statistics - return new_parameters, len(trainloader.dataset), {"malicious": config["malicious"], "cid": self.cid} - - def evaluate(self, parameters, config): - set_params(self.net, parameters) - - # Load data for this client and get trainloader - #num_workers = len(ray.worker.get_resource_ids()["CPU"]) - num_workers = 1 - testloader = get_circles(32, n_samples=10000, workers=num_workers, is_train=False) - - # Send model to device - self.net.to(self.device) - - # Evaluate - loss, accuracy = test_toy(self.net, testloader, device=self.device) - - # Return statistics - return float(loss), len(testloader), {"accuracy": float(accuracy)} \ No newline at end of file + raise NotImplementedError("HouseClient.evaluate not implemented") \ No newline at end of file diff --git a/baselines/flanders/flanders/conf/base.yaml b/baselines/flanders/flanders/conf/base.yaml index eab2b6421dac..a25953870805 100644 --- a/baselines/flanders/flanders/conf/base.yaml +++ b/baselines/flanders/flanders/conf/base.yaml @@ -14,7 +14,7 @@ hydra: dataset: # dataset config - name: mnist + name: house model: # model config diff --git a/baselines/flanders/flanders/dataset.py b/baselines/flanders/flanders/dataset.py index 512ecca0408f..62be78216ac9 100644 --- a/baselines/flanders/flanders/dataset.py +++ b/baselines/flanders/flanders/dataset.py @@ -11,7 +11,6 @@ from torchvision.datasets import VisionDataset from typing import Callable, Optional, Tuple, Any from .dataset_preparation import create_lda_partitions -from sklearn.datasets import make_circles from sklearn.preprocessing import OrdinalEncoder from sklearn.preprocessing import StandardScaler from sklearn.model_selection import train_test_split @@ -31,13 +30,25 @@ def __len__(self): return self.len def get_dataset(path_to_data: Path, cid: str, partition: str): - # generate path to cid's data path_to_data = path_to_data / cid / (partition + ".pt") return TorchVision_FL(path_to_data, transform=cifar10Transformation()) +def get_dataloader( + path_to_data: str, cid: str, is_train: bool, batch_size: int, workers: int +): + """Generates trainset/valset object and returns appropiate dataloader.""" + + partition = "train" if is_train else "val" + dataset = get_dataset(Path(path_to_data), str(cid), partition) + + # we use as number of workers all the cpu cores assigned to this actor + kwargs = {"num_workers": workers, "pin_memory": True, "drop_last": False} + return DataLoader(dataset, batch_size=batch_size, **kwargs) + + def get_random_id_splits(total: int, val_ratio: float, shuffle: bool = True): """splits a list of length `total` into two following a (1-val_ratio):val_ratio partitioning. @@ -169,7 +180,7 @@ def __len__(self) -> int: return len(self.data) -def get_cifar_10(path_to_data="datasets/cifar_10/data"): +def get_cifar_10(path_to_data="flanders/datasets_files/cifar_10/data"): """Downloads CIFAR10 dataset and generates a unified training set (it will be partitioned later using the LDA partitioning mechanism.""" @@ -236,29 +247,6 @@ def get_mnist( return loader -def get_circles( - batch_size: int, - n_samples: int = 1000, - workers=1, - is_train=True -): - # Create a dataset with 10,000 samples. - X, y = make_circles(n_samples = n_samples, - noise= 0.05, - random_state=26) - if is_train: - X_train, _, y_train, _ = train_test_split(X, y, test_size=.33) - # Instantiate training and test data - train_data = Data(X_train, y_train) - dataloader = DataLoader(dataset=train_data, batch_size=batch_size, shuffle=True, num_workers=workers) - else: - _, X_test, _, y_test = train_test_split(X, y, test_size=.33) - # Instantiate training and test data - test_data = Data(X_test, y_test) - dataloader = DataLoader(dataset=test_data, batch_size=batch_size, shuffle=True, num_workers=workers) - return dataloader - - def dataset_partitioner( dataset: torch.utils.data.Dataset, batch_size: int, @@ -303,13 +291,13 @@ def dataset_partitioner( return data_loader def get_partitioned_income(path: str, pool_size: int, train_size=0.8, test_size=0.2): - data=pd.read_csv(path) - copy=data - encoder=OrdinalEncoder() - encoded_values=encoder.fit_transform(data) - data=pd.DataFrame(data=encoded_values, columns=copy.columns) - Y=data["income"] - data=data.loc[:,data.columns!="income"] + data = pd.read_csv(path) + copy = data + encoder = OrdinalEncoder() + encoded_values = encoder.fit_transform(data) + data = pd.DataFrame(data = encoded_values, columns = copy.columns) + Y = data["income"] + data = data.loc[:,data.columns != "income"] X_train, X_test, y_train, y_test = [], [], [], [] train_size = int((len(data) * train_size) // pool_size)+2 @@ -328,4 +316,31 @@ def get_partitioned_income(path: str, pool_size: int, train_size=0.8, test_size= y_train.append(ytrain) y_test.append(ytest) + return X_train, X_test, y_train, y_test + +def get_partitioned_house(path: str, pool_size: int, train_size=0.8, test_size=0.2): + data = pd.read_csv(path) + Y = data['median_house_value'].values + data = data.drop(['median_house_value'] , axis = 1).values + + X_train, X_test, y_train, y_test = [], [], [], [] + train_size = int((len(data) * train_size) // pool_size)+2 + test_size = int((len(data) * test_size) // pool_size)-2 + for i in range(pool_size): + xtrain, xtest, ytrain, ytest = train_test_split( + data, Y, + train_size=train_size, + test_size=test_size, + random_state=i, + shuffle=True + ) + sd = preprocessing.RobustScaler() + xtrain = sd.fit_transform(xtrain) + xtest = sd.fit_transform(xtest) + + X_train.append(xtrain) + X_test.append(xtest) + y_train.append(ytrain) + y_test.append(ytest) + return X_train, X_test, y_train, y_test \ No newline at end of file diff --git a/baselines/flanders/flanders/datasets_files/adult.csv b/baselines/flanders/flanders/datasets_files/adult.csv new file mode 100644 index 000000000000..9b3807b60977 --- /dev/null +++ b/baselines/flanders/flanders/datasets_files/adult.csv @@ -0,0 +1,39073 @@ +age,workclass,fnlwgt,education,educational-num,marital-status,occupation,relationship,race,gender,capital-gain,capital-loss,hours-per-week,native-country,income +25,Private,226802,11th,7,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K +38,Private,89814,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +28,Local-gov,336951,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +44,Private,160323,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,7688,0,40,United-States,>50K +18,?,103497,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +34,Private,198693,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +29,?,227026,HS-grad,9,Never-married,?,Unmarried,Black,Male,0,0,40,United-States,<=50K +63,Self-emp-not-inc,104626,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,32,United-States,>50K +24,Private,369667,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +55,Private,104996,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,10,United-States,<=50K +65,Private,184454,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,6418,0,40,United-States,>50K +36,Federal-gov,212465,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,82091,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,39,United-States,<=50K +58,?,299831,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K +48,Private,279724,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,48,United-States,>50K +43,Private,346189,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +20,State-gov,444554,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +43,Private,128354,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K +37,Private,60548,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,20,United-States,<=50K +40,Private,85019,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,45,?,>50K +34,Private,107914,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,47,United-States,>50K +34,Private,238588,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,35,United-States,<=50K +72,?,132015,7th-8th,4,Divorced,?,Not-in-family,White,Female,0,0,6,United-States,<=50K +25,Private,220931,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,43,Peru,<=50K +25,Private,205947,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,432824,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,90,United-States,>50K +22,Private,236427,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +23,Private,134446,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Male,0,0,54,United-States,<=50K +54,Private,99516,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +32,Self-emp-not-inc,109282,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +46,State-gov,106444,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,7688,0,38,United-States,>50K +56,Self-emp-not-inc,186651,11th,7,Widowed,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K +24,Self-emp-not-inc,188274,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +23,Local-gov,258120,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,43311,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +65,?,191846,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +36,Local-gov,403681,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K 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+21,Private,110677,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +63,Private,145985,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Local-gov,382078,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,50,United-States,>50K +42,Self-emp-inc,170721,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,50,United-States,>50K +33,Private,269705,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,101135,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +39,Private,118429,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,31208,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,281384,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +47,Local-gov,171807,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,109912,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,40,?,<=50K +41,Self-emp-inc,445382,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,60,United-States,>50K +19,Private,105460,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +46,Private,170338,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,102606,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +55,Private,323887,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K +46,Private,175622,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,229636,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +21,Private,388946,Some-college,10,Separated,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,269034,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Dominican-Republic,<=50K +17,?,165361,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,75012,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +69,Self-emp-inc,174379,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +50,Private,312477,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,72055,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Self-emp-inc,67001,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,213734,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,83141,Some-college,10,Separated,Other-service,Not-in-family,White,Male,0,1876,40,United-States,<=50K +44,Self-emp-inc,223881,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,50,?,>50K +31,Self-emp-not-inc,113752,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +43,Private,170482,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,44,United-States,<=50K +20,Federal-gov,244689,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +55,Private,160631,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,56,United-States,>50K +24,Federal-gov,228724,Some-college,10,Never-married,Armed-Forces,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,?,38434,Masters,14,Married-civ-spouse,?,Wife,White,Female,7688,0,10,United-States,>50K +59,Private,292946,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,25,United-States,<=50K +49,Federal-gov,77443,7th-8th,4,Never-married,Other-service,Not-in-family,Black,Male,0,0,20,United-States,<=50K +33,Private,176410,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,5178,0,10,United-States,>50K +59,Federal-gov,98984,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,198751,Masters,14,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +20,Private,479296,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,235218,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +49,Private,164877,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,272087,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +20,Private,169699,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,?,189762,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,18,United-States,<=50K +33,Private,202191,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K +22,Private,212261,Some-college,10,Never-married,Transport-moving,Own-child,Black,Male,0,0,39,United-States,<=50K +58,Self-emp-not-inc,301568,9th,5,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,Local-gov,155233,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,28,United-States,<=50K +36,Private,75826,10th,6,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Local-gov,201520,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,154236,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,2597,0,40,United-States,<=50K +19,Private,289227,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,16,United-States,<=50K +18,Private,217439,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K +18,Private,179020,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,48,United-States,<=50K +28,Private,149624,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,337266,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +20,?,30796,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +40,Private,103541,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,206721,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +46,Private,96773,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,200967,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K +44,Private,180019,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,179866,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,>50K +31,Local-gov,198770,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,<=50K +18,Private,219256,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +19,Private,248730,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,30,United-States,<=50K +41,Private,110732,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,181020,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +69,Private,183791,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +48,Federal-gov,42972,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +28,Private,134813,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +27,Self-emp-not-inc,115438,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,Ireland,>50K +41,Private,239296,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,50,United-States,>50K +41,Private,428420,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,247846,HS-grad,9,Never-married,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K +20,?,334105,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Self-emp-inc,100793,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,41,United-States,>50K +57,Private,244478,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,48,United-States,<=50K +30,Private,142921,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,182863,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +49,Private,171128,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +33,Private,145402,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,35,United-States,<=50K +23,Private,306309,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,83822,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,262118,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,22,Germany,<=50K +40,Private,155972,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,United-States,>50K +43,Self-emp-inc,214503,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,45,United-States,>50K +34,Private,159303,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K +47,Self-emp-not-inc,174995,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K +44,Private,26669,Assoc-voc,11,Widowed,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K +33,Private,177727,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +55,Private,124771,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +19,Private,456736,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,2907,0,30,United-States,<=50K +28,Private,216604,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,14,United-States,<=50K +27,Private,221561,11th,7,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,32,United-States,<=50K +50,Private,114564,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,20,United-States,<=50K +22,Private,315476,11th,7,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +40,State-gov,67874,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1887,45,United-States,>50K +25,Private,126110,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +26,Local-gov,102264,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,537222,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K +42,Private,113732,Some-college,10,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,625,40,United-States,<=50K +38,Self-emp-inc,93225,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +55,Private,43064,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +32,Private,136921,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,388885,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +29,Private,142249,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +46,State-gov,56841,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +31,Private,156493,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +58,Self-emp-not-inc,159021,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,16,United-States,>50K +42,Private,190910,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +18,Private,41879,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,25,United-States,<=50K +58,Local-gov,137249,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,33,United-States,<=50K +54,Private,236157,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +34,Private,189759,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,239877,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +61,Private,21175,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +48,Local-gov,67229,Masters,14,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +36,Private,236391,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +24,Private,325596,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +40,Private,83411,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,37,United-States,<=50K +33,Self-emp-inc,154227,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +37,Private,248010,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K +34,Private,198613,Masters,14,Never-married,Exec-managerial,Own-child,White,Male,4650,0,40,United-States,<=50K +56,Self-emp-inc,321529,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +28,?,168524,HS-grad,9,Married-civ-spouse,?,Own-child,White,Female,0,0,38,United-States,>50K +37,Private,203079,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +44,Private,284652,HS-grad,9,Divorced,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +64,?,201368,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +54,Private,59840,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K +23,Private,52753,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K +34,State-gov,513100,Bachelors,13,Married-spouse-absent,Farming-fishing,Not-in-family,Black,Male,0,0,40,?,<=50K +22,Private,199266,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K +33,Private,196385,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K +39,Private,163205,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +47,Private,411047,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K +79,?,48574,7th-8th,4,Widowed,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,209440,HS-grad,9,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,55,United-States,<=50K +31,Private,56964,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,299197,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +42,Self-emp-inc,240628,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +19,Private,355313,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,132267,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +51,Local-gov,174861,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +28,Self-emp-inc,142443,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +57,Private,26716,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +45,Local-gov,185588,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +50,Private,175029,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +34,Self-emp-inc,34848,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,54,United-States,<=50K +45,Private,411273,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +73,Local-gov,143437,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K +34,Private,357145,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +31,Private,236861,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +19,Private,53355,11th,7,Never-married,Sales,Not-in-family,White,Male,0,0,12,United-States,<=50K +25,Private,29106,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,50,United-States,<=50K +38,Federal-gov,213274,Assoc-voc,11,Divorced,Craft-repair,Unmarried,White,Female,6497,0,40,United-States,<=50K +39,Private,22463,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,180497,Bachelors,13,Never-married,Tech-support,Own-child,Black,Female,0,0,32,United-States,<=50K +49,Private,37306,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +33,Federal-gov,137814,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K +21,Private,447488,5th-6th,3,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,38,Mexico,<=50K +31,Private,220915,Assoc-voc,11,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,42251,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +34,Private,162312,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +25,Private,77698,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +39,Private,282951,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +52,Self-emp-inc,311259,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +63,Local-gov,65479,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,40,United-States,>50K +41,Private,277256,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,312088,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,38,United-States,>50K +53,Local-gov,169719,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +25,?,270276,9th,5,Separated,?,Not-in-family,White,Female,1055,0,40,United-States,<=50K +77,?,172744,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K +18,Private,96869,12th,8,Never-married,Priv-house-serv,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,237943,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +55,Private,119751,Masters,14,Never-married,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,50,Thailand,<=50K +34,Private,236861,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +80,Self-emp-not-inc,201092,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +34,Private,147215,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,60,United-States,<=50K +52,Private,152373,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,5013,0,40,United-States,<=50K +42,Private,227968,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,28,Haiti,<=50K +26,Private,362617,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,103435,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +25,Local-gov,281412,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +55,Self-emp-not-inc,105239,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2057,60,United-States,<=50K +19,Private,230165,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K +62,Self-emp-not-inc,177493,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,32,United-States,<=50K +22,Federal-gov,104443,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +39,?,110342,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,50,United-States,<=50K +35,Private,143385,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,107189,HS-grad,9,Married-civ-spouse,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +47,Private,212944,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K +44,State-gov,138634,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,99970,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +35,Private,203717,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +24,Private,313956,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +42,Federal-gov,177937,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,?,<=50K +28,Private,193868,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,50,United-States,<=50K +21,Private,250939,Some-college,10,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,35,United-States,<=50K +62,Federal-gov,57629,Some-college,10,Divorced,Tech-support,Not-in-family,Black,Male,4650,0,40,United-States,<=50K +39,Private,281768,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +30,State-gov,260782,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +72,Self-emp-not-inc,243769,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,1429,20,United-States,<=50K +50,Private,109937,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K +28,Local-gov,134890,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,100293,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,132179,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +27,Private,116372,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,255412,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3103,0,40,United-States,>50K +61,?,195789,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,342400,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K +21,?,65481,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +31,Private,169085,11th,7,Married-civ-spouse,Sales,Wife,White,Female,0,0,20,United-States,<=50K +25,Private,177221,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,<=50K +58,Private,65325,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +64,Private,118944,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +46,State-gov,149337,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,38,United-States,<=50K +53,?,237868,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,>50K +19,Private,106183,HS-grad,9,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K +42,Private,226388,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Male,0,0,52,United-States,<=50K +18,Private,220754,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K +58,Self-emp-inc,204021,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,50,United-States,>50K +20,Private,347391,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,60,United-States,<=50K +35,Federal-gov,413930,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +32,Private,174201,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,>50K +23,Private,145917,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,25,United-States,<=50K +31,Private,241797,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,265168,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,55,United-States,<=50K +41,Private,171234,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,48,United-States,<=50K +22,Private,178452,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K +46,Private,157857,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +61,Federal-gov,512864,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +30,Private,296462,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +42,Private,171615,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +63,Private,214071,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,172421,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,195488,10th,6,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,316841,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,236267,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,1590,40,United-States,<=50K +30,Private,236543,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,32,El-Salvador,>50K +23,Private,318483,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +34,Self-emp-not-inc,163756,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,27828,0,60,United-States,>50K +30,Private,238186,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Other-relative,White,Male,0,2057,48,United-States,<=50K +39,Private,329980,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +30,Private,169269,11th,7,Never-married,Handlers-cleaners,Other-relative,White,Male,0,1721,38,Puerto-Rico,<=50K +38,Local-gov,34744,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +26,Private,98114,HS-grad,9,Divorced,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +20,Private,109667,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K +37,Local-gov,263690,Bachelors,13,Never-married,Prof-specialty,Unmarried,Black,Male,0,0,40,?,<=50K +33,Private,147430,HS-grad,9,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +24,Private,224238,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +42,Self-emp-inc,212894,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +51,Self-emp-not-inc,136708,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,3103,0,84,Vietnam,<=50K +56,Local-gov,38573,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +22,Private,197200,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +52,Self-emp-not-inc,182796,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +44,Private,184527,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,4934,0,45,United-States,>50K +34,Private,145231,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,4064,0,35,United-States,<=50K +51,Private,43354,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,>50K +20,?,318865,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,355712,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +37,Private,98776,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +68,Private,257557,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K +22,Private,102258,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Self-emp-inc,170287,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,243409,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,55608,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +26,Private,248057,HS-grad,9,Separated,Handlers-cleaners,Own-child,White,Male,0,0,40,Puerto-Rico,<=50K +33,Private,95530,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +45,Local-gov,54038,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,42,United-States,<=50K +18,Private,161245,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +43,Self-emp-not-inc,388725,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +64,Self-emp-not-inc,71807,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,?,>50K +18,Private,228216,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +20,?,303121,Some-college,10,Never-married,?,Own-child,White,Male,0,0,45,United-States,<=50K +57,Private,78020,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +41,Private,249254,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,3674,0,42,United-States,<=50K +34,Private,87218,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K +19,Private,304299,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,196234,9th,5,Divorced,Other-service,Unmarried,White,Female,0,0,55,Dominican-Republic,<=50K +56,Private,197875,10th,6,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Self-emp-inc,48063,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K +48,Private,253596,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,48,United-States,<=50K +29,Private,39257,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +33,Private,56150,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,2174,0,40,United-States,<=50K +31,Private,179415,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +39,Private,252445,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +66,Private,275918,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,10605,0,40,United-States,>50K +27,Private,106562,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +39,Private,198654,HS-grad,9,Divorced,Exec-managerial,Unmarried,Black,Female,99999,0,40,United-States,>50K +59,Private,107318,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,50,United-States,>50K +26,Private,181896,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +31,Private,106014,Assoc-voc,11,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +45,?,319993,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,40,Mexico,<=50K +23,Private,197997,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +36,Local-gov,173542,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,207564,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,12,United-States,>50K +32,Private,224462,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,84,United-States,>50K +37,Private,123361,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,50,United-States,>50K +33,Private,90409,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +50,Self-emp-not-inc,165001,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,80,United-States,>50K +32,Federal-gov,149573,Assoc-acdm,12,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K +35,Private,249456,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +37,Private,149898,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,292985,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +57,Private,50223,Some-college,10,Divorced,Handlers-cleaners,Other-relative,White,Male,0,0,25,United-States,<=50K +29,Local-gov,400074,Some-college,10,Married-civ-spouse,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +55,Private,197399,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +43,Self-emp-inc,209547,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,>50K +43,Private,52433,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K +45,Self-emp-not-inc,355978,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +33,Self-emp-not-inc,48214,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,8,United-States,<=50K +26,Private,190873,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,40,Germany,<=50K +23,Private,278390,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,68,United-States,<=50K +41,Private,203217,7th-8th,4,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +24,Private,279175,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,194590,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K +34,Self-emp-not-inc,198813,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K +40,Private,187294,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +28,Private,302903,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,1485,40,United-States,<=50K +24,Private,154835,HS-grad,9,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Female,0,0,40,South,<=50K +73,?,73402,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K +23,Private,100345,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,15,United-States,<=50K +43,Self-emp-not-inc,126320,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +26,Private,142226,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Self-emp-not-inc,112076,Doctorate,16,Married-AF-spouse,Exec-managerial,Wife,White,Female,0,1485,35,United-States,>50K +52,Private,225339,HS-grad,9,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K +29,Private,211208,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,>50K +47,Private,200808,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,Columbia,<=50K +49,Private,220618,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,37,United-States,<=50K +40,Private,210493,11th,7,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +62,Self-emp-not-inc,369734,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +49,Private,27898,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,55,United-States,>50K +50,Private,138193,Bachelors,13,Divorced,Prof-specialty,Other-relative,White,Female,0,0,50,United-States,>50K +31,Private,224234,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K +48,Local-gov,188741,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +24,Private,183772,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +41,?,155041,HS-grad,9,Never-married,?,Own-child,White,Female,3418,0,40,United-States,<=50K +37,Private,79586,HS-grad,9,Separated,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,60,United-States,<=50K +45,Private,355781,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,45,Japan,>50K +63,?,156158,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K +36,Private,116358,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,45,India,<=50K +45,Private,59287,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,138868,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,185885,Assoc-acdm,12,Never-married,Tech-support,Other-relative,White,Female,0,0,20,United-States,<=50K +17,Private,40299,11th,7,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +27,Private,500068,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,36,?,<=50K +43,Private,51494,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,65,United-States,<=50K +35,Private,179481,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,55,United-States,<=50K +38,Private,365907,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Private,284343,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,204862,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +38,Private,272476,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,24,United-States,>50K +36,Private,175130,11th,7,Divorced,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,118941,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +19,Private,164339,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,1055,0,70,United-States,<=50K +22,?,213291,Assoc-acdm,12,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +42,Federal-gov,55457,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K +50,Private,280292,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +30,Private,446894,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,United-States,<=50K +37,State-gov,67083,Some-college,10,Married-civ-spouse,Prof-specialty,Other-relative,Asian-Pac-Islander,Male,0,0,40,Cambodia,<=50K +54,Self-emp-inc,159219,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K +52,Self-emp-inc,168539,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +65,Private,88145,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,Other,Male,0,0,40,?,<=50K +33,Private,150309,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,122999,Some-college,10,Never-married,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K +24,Private,302195,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +26,Private,210982,Assoc-voc,11,Separated,Adm-clerical,Unmarried,Black,Female,114,0,40,United-States,<=50K +39,Private,177140,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K +59,Private,113838,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,97165,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Private,104301,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,45,United-States,<=50K +23,?,192028,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +64,Self-emp-inc,115931,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +21,Private,147280,HS-grad,9,Never-married,Other-service,Own-child,Other,Male,0,0,20,United-States,<=50K +32,Private,185433,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,>50K +26,Private,599057,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,37,United-States,<=50K +19,?,50626,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,20,United-States,<=50K +62,Self-emp-not-inc,71467,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,183977,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +75,?,26586,10th,6,Married-spouse-absent,?,Not-in-family,White,Female,0,0,5,United-States,<=50K +45,Self-emp-not-inc,196858,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +31,Private,160594,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K +32,Private,65278,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,2580,0,40,United-States,<=50K +24,Private,102258,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,196947,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +41,Self-emp-not-inc,233150,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +18,Private,42857,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +44,Private,118059,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +40,Private,169262,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3411,0,50,United-States,<=50K +27,Private,95108,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,161092,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,345253,Some-college,10,Never-married,Adm-clerical,Not-in-family,Other,Male,2174,0,40,United-States,<=50K +37,State-gov,111275,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +65,Self-emp-not-inc,178878,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,United-States,<=50K +43,Federal-gov,157237,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +45,Private,155664,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,44,United-States,<=50K +24,State-gov,322658,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,208503,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,42,United-States,<=50K +19,Local-gov,223326,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,1721,35,United-States,<=50K +37,Private,20308,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K +24,Private,124751,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +34,Private,113364,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Germany,<=50K +50,State-gov,196900,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,39,United-States,<=50K +36,Private,168170,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +39,Private,205338,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +44,Self-emp-not-inc,98806,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K +45,State-gov,226452,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +32,State-gov,479179,11th,7,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +47,Federal-gov,471990,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +50,Private,44728,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,33117,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,264876,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +19,?,47235,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +28,State-gov,293628,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,10,?,<=50K +28,Private,193122,HS-grad,9,Divorced,Sales,Other-relative,White,Male,0,0,50,United-States,<=50K +39,Federal-gov,149347,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Poland,>50K +21,Private,129172,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,2907,0,40,United-States,<=50K +73,Self-emp-not-inc,151255,Some-college,10,Widowed,Farming-fishing,Not-in-family,White,Female,0,0,75,United-States,<=50K +39,Private,98886,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,4508,0,40,Mexico,<=50K +25,Private,238673,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,137991,Some-college,10,Married-AF-spouse,Sales,Wife,White,Female,0,0,20,United-States,<=50K +51,Private,85942,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K +39,Private,85783,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,28,United-States,<=50K +31,Private,174789,Bachelors,13,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,457162,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,17,United-States,<=50K +46,Private,176026,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,27828,0,50,United-States,>50K +73,Private,88594,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +41,Private,311101,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,273989,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,370242,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +24,Private,194630,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +20,Private,313817,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,195843,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,203160,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,28,United-States,<=50K +33,Private,175856,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +33,Private,75435,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +36,State-gov,291676,9th,5,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +55,Private,192869,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,36,United-States,<=50K +19,Private,124464,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,98776,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +34,Private,107960,5th-6th,3,Never-married,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K +62,State-gov,312286,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +33,Self-emp-not-inc,48520,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Private,224541,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,55,Mexico,<=50K +36,Local-gov,237713,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,309990,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,33,United-States,<=50K +39,Self-emp-not-inc,37019,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +38,?,48976,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,1887,10,United-States,>50K +18,Private,170183,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +61,Private,142988,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K +20,Federal-gov,163205,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,36,United-States,<=50K +35,Self-emp-not-inc,455379,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,>50K +27,Private,104423,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +66,Private,104936,10th,6,Widowed,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K +21,Private,542610,HS-grad,9,Never-married,Transport-moving,Other-relative,Black,Male,0,0,40,United-States,<=50K +20,Private,208117,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,18,United-States,<=50K +34,Private,105141,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +63,Private,156120,5th-6th,3,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,50,?,<=50K +20,?,38455,HS-grad,9,Never-married,?,Unmarried,White,Male,0,0,40,United-States,<=50K +31,Private,213339,HS-grad,9,Separated,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,177989,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2051,60,United-States,<=50K +64,State-gov,107732,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,Other,Male,0,0,45,Columbia,<=50K +32,Private,312403,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Local-gov,176992,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +36,Self-emp-not-inc,84294,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K +22,Private,143062,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,12,United-States,<=50K +53,Local-gov,139671,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +50,Private,116814,HS-grad,9,Widowed,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +36,Private,37778,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-inc,240900,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,202652,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +38,Private,52187,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +28,Private,349751,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,2174,0,50,United-States,<=50K +24,Local-gov,238384,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,37,United-States,<=50K +60,Private,209844,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +54,Private,333301,10th,6,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +27,Self-emp-inc,214974,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +30,Private,113453,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,<=50K +54,Private,162238,HS-grad,9,Widowed,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +44,Private,98779,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K +52,Private,165001,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +18,Private,78528,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +55,Private,353881,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,251396,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +37,Private,178100,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +22,Private,416165,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +45,Private,177536,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,England,>50K +38,Private,203717,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +48,Private,107231,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,106448,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,196816,Assoc-voc,11,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,50,United-States,<=50K +37,Self-emp-not-inc,191342,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,60,Philippines,>50K +18,Private,170194,11th,7,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K +26,Private,113587,10th,6,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,35,United-States,<=50K +48,Self-emp-inc,72425,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +51,Private,217480,Some-college,10,Separated,Adm-clerical,Not-in-family,Black,Male,8614,0,40,United-States,>50K +52,Private,120914,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,State-gov,33945,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +39,Self-emp-not-inc,199753,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K +51,Private,144284,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +54,Private,53833,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +21,Private,151158,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K +43,Private,125577,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +32,Private,242323,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +31,State-gov,195181,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +73,?,145748,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +26,Private,341672,Some-college,10,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Male,0,0,60,India,<=50K +35,Private,116369,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +73,Private,113446,5th-6th,3,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,54,United-States,>50K +25,Self-emp-not-inc,121285,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Self-emp-not-inc,25124,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2377,65,United-States,<=50K +32,Private,182274,HS-grad,9,Separated,Other-service,Own-child,White,Female,0,0,37,United-States,<=50K +28,Private,103548,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,38434,Masters,14,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +53,Self-emp-not-inc,317313,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +49,Private,177543,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +55,Private,139834,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +29,Private,118478,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,7298,0,50,United-States,>50K +28,Self-emp-not-inc,147951,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K +44,Private,201734,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +41,Private,198196,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +26,Private,141876,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,3103,0,45,United-States,>50K +23,Private,325179,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +37,Self-emp-not-inc,143774,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,Germany,>50K +23,Private,152328,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,13550,0,50,United-States,>50K +33,Private,479600,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +44,Private,180599,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,>50K +21,Private,448026,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,2907,0,30,United-States,<=50K +36,Private,300333,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Cuba,<=50K +44,Local-gov,184105,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,5013,0,40,United-States,<=50K +23,Private,202084,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +26,Private,29515,HS-grad,9,Divorced,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,247328,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Mexico,<=50K +31,Private,188246,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +50,Local-gov,105788,HS-grad,9,Separated,Exec-managerial,Unmarried,Black,Female,6497,0,35,United-States,<=50K +18,Self-emp-inc,352640,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +49,Private,132576,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +59,Private,128829,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,93140,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,28,United-States,<=50K +50,Self-emp-inc,155965,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +51,Self-emp-inc,335902,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,55,United-States,<=50K +22,Private,158522,Some-college,10,Never-married,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,35,United-States,<=50K +54,Private,174806,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,>50K +37,Private,32207,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,43607,Bachelors,13,Widowed,Adm-clerical,Unmarried,White,Male,0,0,60,United-States,<=50K +67,State-gov,168224,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +43,?,180318,11th,7,Separated,?,Other-relative,White,Male,0,0,40,United-States,<=50K +21,Private,311376,Some-college,10,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K +30,Private,101562,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Local-gov,267859,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,Cuba,<=50K +36,Private,86143,Assoc-voc,11,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +33,Local-gov,217304,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +37,Private,410034,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,<=50K +29,Private,293073,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,48,United-States,>50K +18,?,39493,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +26,Private,247425,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,40,Haiti,<=50K +51,Private,128338,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,189344,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +18,Private,366154,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +52,Private,163051,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1628,40,United-States,<=50K +31,Private,437200,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +45,Private,323798,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,53,United-States,>50K +38,Private,182570,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,<=50K +21,Private,200318,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +33,Private,48520,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,130007,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +31,Private,166248,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,203554,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K +64,?,192715,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,1672,10,United-States,<=50K +33,Self-emp-inc,291333,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,45,United-States,>50K +49,Self-emp-not-inc,39140,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +41,Private,266439,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +55,Self-emp-not-inc,126840,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Private,166419,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K +42,Private,287129,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +24,Private,206827,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +42,Private,173888,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,White,Male,0,0,52,United-States,<=50K +41,State-gov,253250,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +35,Private,337239,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +71,?,113445,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K +54,Federal-gov,201127,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,>50K +24,Private,403107,5th-6th,3,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K +59,?,179078,HS-grad,9,Widowed,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +30,?,126402,11th,7,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +57,Federal-gov,223892,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +58,State-gov,191318,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +32,Private,394708,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K +22,Private,119474,HS-grad,9,Never-married,Sales,Own-child,White,Female,1055,0,25,United-States,<=50K +20,Private,419984,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +60,?,164730,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,190678,HS-grad,9,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,?,<=50K +26,Local-gov,197897,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,England,<=50K +33,Private,286675,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,191986,10th,6,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +50,Self-emp-not-inc,90525,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,15024,0,20,United-States,>50K +32,Private,56150,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +51,Local-gov,248327,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K +18,Private,90860,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K +35,Federal-gov,104858,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +22,?,228686,Some-college,10,Divorced,?,Own-child,White,Male,0,1602,25,United-States,<=50K +46,Private,196707,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K +37,Private,29430,HS-grad,9,Divorced,Sales,Unmarried,White,Male,0,0,45,United-States,<=50K +45,Private,54038,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1902,20,United-States,>50K +63,Private,281025,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,32,United-States,<=50K +53,Private,258832,HS-grad,9,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,10,Philippines,<=50K +24,Private,131220,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +65,?,190454,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,29,United-States,<=50K +43,Private,315971,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,32,?,>50K +47,Private,265097,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,185057,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,169557,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,6849,0,40,United-States,<=50K +35,Self-emp-inc,333636,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,75,United-States,<=50K +19,Private,181652,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,24,United-States,<=50K +47,Private,34307,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +25,Federal-gov,198813,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Female,0,1590,40,United-States,<=50K +59,Local-gov,240030,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +28,Private,226089,10th,6,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +17,Private,190941,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +21,Private,160261,Some-college,10,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,2463,0,50,England,<=50K +31,Private,208458,HS-grad,9,Divorced,Sales,Unmarried,Other,Female,0,0,40,Mexico,<=50K +49,Private,112761,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Local-gov,67716,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +60,Self-emp-not-inc,121076,Doctorate,16,Divorced,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K +33,Self-emp-not-inc,182556,12th,8,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,231348,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,55395,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K +34,Private,344073,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5013,0,40,United-States,<=50K +38,Federal-gov,318912,Assoc-voc,11,Divorced,Adm-clerical,Own-child,Black,Male,0,0,52,United-States,<=50K +58,Self-emp-not-inc,237546,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K +20,Private,346341,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,?,<=50K +52,Private,305090,Some-college,10,Separated,Sales,Other-relative,White,Female,0,0,55,United-States,<=50K +22,Local-gov,198478,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,321435,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,>50K +39,Private,259716,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,Mexico,<=50K +41,Private,191547,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,55,United-States,>50K +37,?,171482,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K +56,Private,225927,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,2580,0,40,United-States,<=50K +21,Private,256504,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,168526,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K +45,Private,44489,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Male,0,0,10,United-States,<=50K +44,Local-gov,159449,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,80,United-States,>50K +54,Private,387540,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +24,Private,314819,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,2174,0,40,United-States,<=50K +40,Private,34722,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +43,State-gov,125831,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,99999,0,60,United-States,>50K +20,?,239805,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,16,United-States,<=50K +41,Self-emp-not-inc,264663,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,294121,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,83912,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,25,Mexico,<=50K +26,Private,241626,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,State-gov,137815,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +62,Self-emp-inc,153891,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,3137,0,40,United-States,<=50K +24,Private,83774,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,2885,0,45,United-States,<=50K +58,Private,199067,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,>50K +44,Self-emp-inc,57233,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +44,Private,211517,12th,8,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Self-emp-inc,132879,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +65,Self-emp-not-inc,72776,7th-8th,4,Never-married,Farming-fishing,Not-in-family,White,Male,2964,0,40,United-States,<=50K +33,Private,54318,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +34,?,143582,HS-grad,9,Married-spouse-absent,?,Not-in-family,Asian-Pac-Islander,Female,0,0,37,Taiwan,<=50K +56,Self-emp-not-inc,174564,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +35,Private,179579,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,48,United-States,>50K +33,Private,187618,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,1741,40,United-States,<=50K +35,Private,186819,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,<=50K +47,Self-emp-not-inc,60087,Some-college,10,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +35,Self-emp-not-inc,28987,9th,5,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,96,United-States,<=50K +56,Private,187355,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Self-emp-inc,218555,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +53,Self-emp-inc,94214,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,7298,0,50,Thailand,>50K +42,Private,204729,Assoc-voc,11,Separated,Sales,Unmarried,Black,Female,0,0,25,United-States,<=50K +20,?,281668,Some-college,10,Never-married,?,Other-relative,Black,Female,0,0,40,United-States,<=50K +24,Private,236696,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,Taiwan,<=50K +33,Private,179747,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,187322,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +38,State-gov,116975,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,50,United-States,>50K +32,Private,205950,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +20,Self-emp-not-inc,190968,7th-8th,4,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +32,Private,160458,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +28,Local-gov,190911,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +51,Private,85382,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +41,Local-gov,129793,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +37,Local-gov,270181,Assoc-acdm,12,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,50,United-States,<=50K +23,Private,243723,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +40,Private,168113,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,652784,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +46,Self-emp-not-inc,315984,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,311311,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,111336,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,28,United-States,<=50K +30,Self-emp-not-inc,100252,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,60,South,<=50K +41,State-gov,186990,Prof-school,15,Widowed,Prof-specialty,Not-in-family,Other,Female,0,0,52,United-States,>50K +37,State-gov,241633,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,45,United-States,>50K +49,Federal-gov,252616,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +41,Federal-gov,46366,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,50,United-States,>50K +52,Local-gov,266138,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +23,Private,32732,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +34,Private,361978,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Female,1471,0,40,United-States,<=50K +25,State-gov,77661,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,2444,40,United-States,>50K +44,Self-emp-inc,60087,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +31,Local-gov,197550,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Male,0,0,33,United-States,<=50K +53,Private,170701,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +62,Private,159822,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,211494,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1876,55,United-States,<=50K +30,Federal-gov,340899,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,State-gov,224752,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +36,Private,102568,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +32,Private,220690,11th,7,Divorced,Other-service,Not-in-family,White,Male,0,0,33,United-States,<=50K +22,Private,303170,Some-college,10,Never-married,Priv-house-serv,Own-child,White,Female,0,0,28,United-States,<=50K +17,?,143331,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,192162,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,201635,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,?,55263,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +56,State-gov,133728,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +45,Private,347025,7th-8th,4,Widowed,Other-service,Unmarried,White,Female,0,0,21,United-States,<=50K +23,Private,110998,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +31,Private,122347,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,127875,11th,7,Never-married,Sales,Unmarried,White,Female,0,0,8,United-States,<=50K +42,Private,167534,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,5013,0,35,United-States,<=50K +27,State-gov,152560,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +37,Private,265144,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +31,Private,302679,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,60,United-States,<=50K +33,Private,290763,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +64,Private,86837,Preschool,1,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +32,Private,147118,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +62,?,103575,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,5178,0,40,United-States,>50K +37,Private,169469,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,189334,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,139571,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,4064,0,40,United-States,<=50K +36,Private,111545,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +67,Private,72776,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,10566,0,15,United-States,<=50K +54,Private,307973,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +45,Local-gov,211666,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +30,Private,143766,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,State-gov,112812,HS-grad,9,Married-civ-spouse,Protective-serv,Other-relative,White,Female,0,0,40,United-States,<=50K +57,Private,43290,10th,6,Divorced,Other-service,Not-in-family,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K +57,Private,111385,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Self-emp-not-inc,145744,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +49,Local-gov,126754,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,White,Male,0,0,40,Italy,<=50K +46,State-gov,54260,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,10,United-States,>50K +41,State-gov,34895,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,43,United-States,<=50K +44,Private,166740,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K +25,Private,143062,Bachelors,13,Never-married,Other-service,Own-child,White,Female,2463,0,30,United-States,<=50K +34,Local-gov,191957,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,45,United-States,>50K +24,Private,109456,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K +32,Private,198183,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +27,Local-gov,157449,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +67,Private,53874,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,Cuba,<=50K +36,Private,191754,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,320071,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,1408,48,United-States,<=50K +24,Private,164574,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,185870,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K +44,State-gov,165745,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +23,Self-emp-not-inc,40323,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +46,Private,199378,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,90,United-States,<=50K +31,Private,289889,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Local-gov,152200,Some-college,10,Married-civ-spouse,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K +61,Private,198231,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +71,Self-emp-not-inc,28865,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,15,United-States,<=50K +42,Private,26915,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +27,?,108926,Some-college,10,Married-civ-spouse,?,Husband,Black,Male,0,0,5,United-States,<=50K +21,State-gov,204034,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,16,United-States,<=50K +21,Private,243368,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,25,Mexico,<=50K +28,Local-gov,191088,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,2354,0,60,United-States,<=50K +27,Local-gov,194515,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,Black,Female,0,0,37,United-States,<=50K +32,Private,28984,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,2001,25,United-States,<=50K +47,Private,125892,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,37932,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,35,England,<=50K +56,Private,249751,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,191948,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +30,Private,97306,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,176178,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +28,Private,142764,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,45,United-States,>50K +50,Private,148431,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +66,State-gov,148380,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,1424,0,10,United-States,<=50K +38,Private,314890,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,46,United-States,<=50K +62,Private,177493,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K +36,Federal-gov,327435,Masters,14,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,>50K +47,Private,275967,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +25,Private,176520,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,186463,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,50380,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +70,Self-emp-not-inc,323987,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,8,United-States,<=50K +52,Private,192445,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +70,Private,142851,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,18,United-States,<=50K +19,State-gov,42750,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,199011,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,3,United-States,<=50K +37,Private,98644,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,16,?,>50K +37,Private,173963,11th,7,Separated,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +45,State-gov,284763,Some-college,10,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +29,Private,108775,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +56,Self-emp-not-inc,233312,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,Poland,<=50K +50,Private,197826,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,123007,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,2001,30,United-States,<=50K +26,Private,264012,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Self-emp-inc,214247,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,60,United-States,>50K +21,Private,200121,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +48,Self-emp-not-inc,138069,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2042,50,United-States,<=50K +22,Private,33551,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,State-gov,89083,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K +47,Private,369438,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,30,United-States,>50K +61,Private,93997,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K +47,Local-gov,169699,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +37,Private,115429,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K +46,State-gov,96652,Assoc-voc,11,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +42,Self-emp-not-inc,103759,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +41,Private,54422,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Local-gov,107215,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,194630,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +27,Private,102142,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Federal-gov,134638,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,39,United-States,<=50K +56,Private,46920,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +35,Federal-gov,207973,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,Canada,<=50K +24,Private,208946,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +73,Self-emp-not-inc,252431,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,1,United-States,<=50K +36,Private,251730,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +31,Private,301251,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +50,?,137632,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,45,Haiti,<=50K +36,Private,197274,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +37,Private,106043,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K +26,Private,195636,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K +20,Private,237956,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,Cuba,<=50K +58,Private,31532,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +45,State-gov,276157,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +33,?,207668,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,142921,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,217039,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K +19,Local-gov,259169,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K +54,Private,409173,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,50,Puerto-Rico,>50K +31,State-gov,73161,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1740,40,United-States,<=50K +27,Private,241431,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +36,Private,151764,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5178,0,40,United-States,>50K +47,Federal-gov,131726,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,1876,40,United-States,<=50K +35,Private,334291,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +42,Private,67243,1st-4th,2,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,Portugal,>50K +45,Private,370261,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +70,Private,573446,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,1455,0,40,United-States,<=50K +27,Local-gov,189775,12th,8,Never-married,Other-service,Own-child,Black,Female,0,0,44,United-States,<=50K +36,Private,312206,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +23,Private,86939,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,221757,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +45,Self-emp-not-inc,213140,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,45,United-States,>50K +24,Private,308673,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +90,Private,149069,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,1825,50,United-States,>50K +50,Private,69345,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1902,44,United-States,>50K +37,Private,112158,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,99,United-States,>50K +31,Private,386299,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,61838,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,290286,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,38,United-States,<=50K +41,Private,143069,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +50,Self-emp-inc,145714,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +45,Self-emp-not-inc,285570,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,<=50K +54,Self-emp-not-inc,399705,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +54,Private,186224,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,172918,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,198270,HS-grad,9,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,38,United-States,<=50K +43,Private,307767,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +19,?,208630,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +30,Private,169002,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +31,?,186369,9th,5,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,99203,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K +48,Private,197836,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +56,Private,140136,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,35,United-States,>50K +21,Local-gov,402230,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,36,United-States,<=50K +45,Private,167159,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,116409,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,Local-gov,105161,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +34,Private,263908,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +29,Private,189565,HS-grad,9,Divorced,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,224059,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +79,?,27457,Masters,14,Never-married,?,Not-in-family,White,Female,0,0,23,United-States,<=50K +35,Private,240988,Assoc-acdm,12,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,55,United-States,<=50K +39,Self-emp-not-inc,41017,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K +73,Self-emp-not-inc,214498,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,12,United-States,<=50K +57,Private,186361,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +35,Self-emp-inc,165799,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +60,Private,266983,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,32,United-States,<=50K +19,?,165416,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K +54,Private,226497,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +53,Self-emp-not-inc,99516,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,177287,Some-college,10,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K +57,Self-emp-not-inc,27385,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +27,Self-emp-not-inc,147452,10th,6,Never-married,Sales,Own-child,White,Female,0,0,48,United-States,<=50K +25,Private,144334,HS-grad,9,Never-married,Exec-managerial,Own-child,Black,Male,0,0,40,United-States,<=50K +38,Private,217926,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +48,Private,153312,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,>50K +24,Private,126822,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +67,Self-emp-inc,51415,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,171886,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K +38,Private,216319,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,>50K +54,Private,279337,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Self-emp-not-inc,115085,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +57,Private,453233,10th,6,Separated,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K +34,Federal-gov,400943,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,44,United-States,<=50K +34,Private,226883,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,49,United-States,<=50K +80,Private,138050,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Female,0,0,16,United-States,<=50K +40,Private,204585,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +19,Local-gov,220558,11th,7,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,35,United-States,<=50K +35,Private,198841,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,<=50K +21,Private,67244,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +59,Local-gov,75785,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,85423,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +41,Self-emp-not-inc,134724,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,White,Female,3103,0,40,United-States,>50K +59,Private,109567,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +21,?,132053,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +52,Private,157413,1st-4th,2,Divorced,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K +48,Private,238567,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +24,Private,153133,12th,8,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K +49,Private,186256,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +19,Private,260265,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K +50,Private,131819,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,141584,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +25,Private,245121,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K +66,Private,22502,7th-8th,4,Divorced,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +30,Private,23778,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,4416,0,40,United-States,<=50K +49,Private,380922,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,80,United-States,>50K +40,Self-emp-not-inc,173651,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +38,Private,191137,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,217006,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,State-gov,22211,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,37,United-States,>50K +23,Local-gov,57711,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Germany,<=50K +60,Self-emp-not-inc,123190,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,67,United-States,>50K +44,Private,110028,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,27828,0,60,United-States,>50K +53,Self-emp-not-inc,174102,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,25236,0,60,United-States,>50K +66,Self-emp-not-inc,183249,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,>50K +18,?,240183,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,45,United-States,<=50K +44,Local-gov,49665,Assoc-voc,11,Divorced,Machine-op-inspct,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +38,Private,210438,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K +30,Private,53373,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +36,Private,295706,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,3674,0,42,United-States,<=50K +38,Local-gov,273457,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +31,Federal-gov,165949,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +26,Private,142152,11th,7,Never-married,Transport-moving,Not-in-family,White,Female,0,0,35,United-States,<=50K +23,Private,189203,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K +58,State-gov,179089,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +44,Self-emp-not-inc,53956,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3137,0,40,United-States,<=50K +59,Self-emp-inc,77816,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K +36,Local-gov,74593,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,196158,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,8614,0,52,United-States,>50K +17,Private,28544,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +59,Local-gov,662460,10th,6,Widowed,Prof-specialty,Unmarried,White,Female,0,0,15,United-States,<=50K +22,Private,152328,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,120277,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +36,Private,180278,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +19,?,426589,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K +49,Private,111558,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1977,25,United-States,>50K +18,?,243203,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,Puerto-Rico,<=50K +38,Self-emp-not-inc,195686,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Male,0,0,25,United-States,<=50K +48,Private,226696,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +53,?,118058,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +33,Private,172237,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,46,United-States,<=50K +34,Self-emp-not-inc,114074,Assoc-voc,11,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Federal-gov,171589,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,>50K +20,?,184271,Assoc-acdm,12,Never-married,?,Own-child,White,Female,594,0,20,United-States,<=50K +58,Local-gov,218724,HS-grad,9,Widowed,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Private,134190,10th,6,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +45,Local-gov,181964,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,47,United-States,>50K +37,Private,385330,7th-8th,4,Separated,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K +48,Private,242406,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Dominican-Republic,<=50K +40,Federal-gov,107584,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +29,Private,127892,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +33,Private,160261,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,10,United-States,<=50K +51,?,285200,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2105,0,24,United-States,<=50K +48,Private,153254,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,48,United-States,<=50K +36,Self-emp-not-inc,294672,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +31,Private,145924,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,35,United-States,<=50K +41,Self-emp-not-inc,280005,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +29,Federal-gov,66893,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,47039,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +53,Federal-gov,36186,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +37,Private,159383,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,192010,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K +27,Private,216479,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,?,274680,Preschool,1,Separated,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,211345,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Nicaragua,<=50K +25,Private,203561,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,56,United-States,>50K +63,Private,170815,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,<=50K +65,Self-emp-not-inc,200565,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,18,United-States,<=50K +77,Private,89655,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,234195,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,98466,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +67,Private,191437,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,77792,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,40,?,<=50K +24,Local-gov,134181,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +53,State-gov,195690,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K +37,Self-emp-inc,94869,Masters,14,Divorced,Prof-specialty,Not-in-family,Black,Male,4787,0,40,United-States,>50K +44,State-gov,267464,Some-college,10,Separated,Tech-support,Own-child,Black,Female,0,0,40,United-States,<=50K +25,?,257006,11th,7,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +17,Private,81010,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +47,Private,54260,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,60,United-States,>50K +62,Federal-gov,171995,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,2829,0,40,United-States,<=50K +39,Private,245665,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +18,?,35855,11th,7,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +32,State-gov,189838,Some-college,10,Divorced,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K +25,Private,629900,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,>50K +30,Private,84119,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +47,Private,47343,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +40,Private,103614,10th,6,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,303092,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +41,State-gov,124520,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +21,Private,220857,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +32,State-gov,247481,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K +54,Private,283281,7th-8th,4,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,50,United-States,<=50K +31,Private,25610,Preschool,1,Never-married,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Male,0,0,25,United-States,<=50K +42,Private,13769,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +23,Private,283969,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,Mexico,<=50K +18,Private,185522,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,33,United-States,<=50K +65,?,173309,7th-8th,4,Widowed,?,Not-in-family,White,Female,401,0,12,United-States,<=50K +37,Private,144005,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +53,State-gov,205949,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +50,Private,158948,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,84,United-States,<=50K +64,Private,240357,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K +55,Private,243929,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +63,Private,201700,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K +53,Private,208402,Some-college,10,Divorced,Adm-clerical,Unmarried,Other,Female,4865,0,45,Mexico,<=50K +18,Private,120599,11th,7,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +33,Private,231826,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +62,Private,499971,11th,7,Widowed,Handlers-cleaners,Not-in-family,Black,Female,0,0,40,United-States,<=50K +56,Private,227972,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,48,Germany,>50K +58,State-gov,299680,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,15024,0,43,United-States,>50K +33,Private,231822,10th,6,Separated,Sales,Unmarried,White,Female,0,0,38,United-States,<=50K +58,Private,185459,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +44,Private,90582,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +81,Private,184615,7th-8th,4,Widowed,Machine-op-inspct,Unmarried,White,Female,1264,0,40,United-States,<=50K +28,Private,173858,HS-grad,9,Never-married,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,35,China,<=50K +28,Private,132326,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,315037,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +51,Private,175122,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +23,Private,239577,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,52,United-States,<=50K +48,Self-emp-not-inc,96975,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K +45,Self-emp-inc,61885,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,48,United-States,>50K +48,Private,185870,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K +37,State-gov,142282,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,16,United-States,<=50K +34,Private,334744,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +63,Self-emp-not-inc,201600,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1902,60,United-States,>50K +38,Private,34378,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,180271,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,123833,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,213304,5th-6th,3,Separated,Other-service,Unmarried,White,Female,0,0,40,El-Salvador,<=50K +30,Private,296538,9th,5,Divorced,Farming-fishing,Own-child,White,Male,0,0,30,United-States,<=50K +35,Private,391937,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +54,Self-emp-inc,175339,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2415,40,United-States,>50K +26,Private,60726,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Male,6849,0,50,United-States,<=50K +39,Private,191103,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,54,United-States,<=50K +34,State-gov,32174,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Private,176219,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K +33,Self-emp-not-inc,294434,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,76,United-States,>50K +17,Private,310885,7th-8th,4,Never-married,Other-service,Own-child,White,Male,0,0,36,Mexico,<=50K +27,Private,171133,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,38,United-States,<=50K +53,Private,162951,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,41,United-States,>50K +43,Private,223934,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,23940,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +52,Private,88073,Bachelors,13,Divorced,Tech-support,Unmarried,White,Female,0,0,50,United-States,<=50K +60,Private,57371,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Self-emp-not-inc,73684,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,65,United-States,>50K +39,Private,107164,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +29,Private,120126,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,40,United-States,>50K +41,Self-emp-not-inc,54611,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,50,United-States,>50K +61,Private,131117,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K +71,Federal-gov,101676,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,403965,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,35,United-States,<=50K +33,Private,177083,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,Canada,<=50K +52,Private,173987,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +40,Private,352080,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +26,?,102400,HS-grad,9,Married-civ-spouse,?,Own-child,White,Male,0,0,40,United-States,<=50K +31,Local-gov,378426,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,99,Columbia,<=50K +42,Private,210857,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +63,Private,165775,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,21,United-States,<=50K +53,Private,295896,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +34,State-gov,238944,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +48,Private,149640,Some-college,10,Separated,Craft-repair,Unmarried,White,Male,1506,0,40,Honduras,<=50K +67,?,106175,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,>50K +49,Private,191320,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K +28,Local-gov,134771,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,55,United-States,<=50K +51,?,295538,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,120277,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K +27,Private,82393,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +49,Private,146121,5th-6th,3,Married-spouse-absent,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Female,0,0,20,Vietnam,<=50K +34,Private,162544,7th-8th,4,Never-married,Priv-house-serv,Own-child,White,Female,0,0,30,United-States,<=50K +27,Self-emp-not-inc,216178,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +38,Self-emp-not-inc,248694,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K +24,Private,219140,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,360401,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,1719,48,United-States,<=50K +39,Private,319962,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K +50,Private,115284,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +42,Private,29702,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K +63,?,107085,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,7,United-States,<=50K +44,State-gov,204361,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Private,218312,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,182332,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +23,Private,127876,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +20,Private,316702,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +46,Self-emp-not-inc,292549,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +21,Private,203178,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +63,Private,180099,10th,6,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +38,Private,154541,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,United-States,>50K +27,Private,95465,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +41,Private,171839,Masters,14,Married-civ-spouse,Other-service,Wife,White,Female,0,0,50,United-States,>50K +43,Private,115562,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K +39,State-gov,42478,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,?,117054,5th-6th,3,Divorced,?,Not-in-family,White,Male,0,0,99,United-States,<=50K +56,Self-emp-inc,124137,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,45,United-States,>50K +44,State-gov,107503,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,60,United-States,<=50K +24,Private,70261,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +49,Private,367037,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,4650,0,40,United-States,<=50K +38,Private,258339,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,70,Iran,<=50K +36,Self-emp-not-inc,269509,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K +27,State-gov,301302,Doctorate,16,Married-spouse-absent,Tech-support,Not-in-family,White,Male,0,0,20,?,<=50K +50,Private,369367,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +46,Private,224582,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,52,United-States,<=50K +41,Local-gov,343591,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,10,United-States,<=50K +45,?,53540,11th,7,Divorced,?,Unmarried,Black,Female,0,0,16,United-States,<=50K +46,Private,153536,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +65,?,91262,HS-grad,9,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,48,United-States,>50K +44,Private,238574,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +35,Private,247558,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K +44,Self-emp-not-inc,188278,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,45,United-States,<=50K +51,Private,194995,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +74,Local-gov,168782,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +32,Private,287229,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +22,Private,202153,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +58,?,230586,10th,6,Widowed,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +47,Private,115358,HS-grad,9,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +32,Private,78283,12th,8,Never-married,Transport-moving,Unmarried,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +64,Federal-gov,168854,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,25,United-States,<=50K +44,Private,222011,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,25,United-States,>50K +59,Private,157749,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Male,0,3004,40,United-States,>50K +34,Private,203814,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K +54,Private,74660,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,Canada,>50K +33,Private,292603,Some-college,10,Divorced,Other-service,Not-in-family,Black,Female,0,0,30,Dominican-Republic,<=50K +44,Private,172364,1st-4th,2,Married-civ-spouse,Transport-moving,Wife,White,Female,3908,0,60,United-States,<=50K +31,Private,305619,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +30,State-gov,157990,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,120243,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,17,United-States,<=50K +56,Self-emp-not-inc,296991,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,England,>50K +24,Private,174845,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,180475,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Private,152652,11th,7,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,172941,Bachelors,13,Never-married,Prof-specialty,Unmarried,Black,Male,0,0,20,United-States,<=50K +39,Federal-gov,450770,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,166003,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +22,?,204935,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +42,State-gov,60949,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +51,Local-gov,181132,Masters,14,Separated,Prof-specialty,Not-in-family,White,Male,0,0,39,United-States,>50K +20,Private,408988,Some-college,10,Never-married,Sales,Own-child,White,Female,594,0,24,United-States,<=50K +49,Private,169515,10th,6,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +31,Private,250087,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +41,Private,208613,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,225172,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +20,?,125905,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +35,Private,165007,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,42,United-States,>50K +46,Private,165346,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,8,United-States,<=50K +35,Private,37655,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,60,United-States,<=50K +21,Private,172047,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,20,United-States,<=50K +45,Private,178530,12th,8,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Local-gov,347491,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +45,Self-emp-inc,208049,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,1590,40,United-States,<=50K +18,Private,111019,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K +53,Self-emp-not-inc,163826,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +24,Local-gov,117023,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,281982,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,150025,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +50,Private,176215,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7688,0,56,United-States,>50K +38,Private,166062,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +34,Local-gov,28568,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +53,Private,53833,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,32,United-States,>50K +46,Private,219967,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K +50,Private,309017,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,45,United-States,<=50K +45,Private,353083,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,257992,Assoc-voc,11,Never-married,Sales,Own-child,Black,Male,0,0,23,United-States,<=50K +41,Private,283174,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K +43,Self-emp-not-inc,185413,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +29,Private,207513,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,<=50K +53,Private,56213,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +24,Private,100961,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,51700,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,199224,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +43,Local-gov,70055,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,<=50K +38,Private,183683,10th,6,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K +64,Private,45868,7th-8th,4,Separated,Priv-house-serv,Not-in-family,Other,Female,0,0,35,Mexico,<=50K +37,Private,94706,Bachelors,13,Never-married,Prof-specialty,Own-child,Amer-Indian-Eskimo,Male,27828,0,40,United-States,>50K +48,Private,322183,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,35,United-States,>50K +27,Self-emp-not-inc,226976,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +45,Private,262678,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,135056,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,10520,0,38,United-States,>50K +33,?,148380,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,3103,0,60,United-States,>50K +42,Private,270710,9th,5,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,166220,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,50,United-States,<=50K +29,Private,229803,HS-grad,9,Married-spouse-absent,Transport-moving,Not-in-family,Black,Male,0,0,49,Haiti,<=50K +71,Self-emp-inc,172652,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +29,Federal-gov,204796,10th,6,Separated,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,State-gov,186634,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,16,United-States,<=50K +28,Private,106672,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,2,United-States,<=50K +55,Private,135339,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,>50K +47,State-gov,287547,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +21,?,197583,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +33,Private,159737,HS-grad,9,Separated,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K +35,Local-gov,252217,12th,8,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +42,Self-emp-inc,202466,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,45,United-States,>50K +33,Private,123031,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +30,Private,226296,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,232036,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,?,233779,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +21,?,152328,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +46,Self-emp-not-inc,481987,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +42,Private,107563,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +28,Private,184806,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,58,United-States,<=50K +36,Private,188850,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +39,Private,127573,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,72443,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,142080,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,38,United-States,>50K +50,Private,143353,HS-grad,9,Divorced,Priv-house-serv,Unmarried,Black,Female,0,0,12,United-States,<=50K +63,Private,172433,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K +44,Private,67874,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,625,50,United-States,<=50K +38,Private,415578,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +30,Self-emp-not-inc,370498,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,140513,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,25,United-States,<=50K +44,Self-emp-not-inc,193882,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +24,Private,289909,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,284078,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,2354,0,40,United-States,<=50K +42,Self-emp-not-inc,83953,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +54,Private,167380,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +45,State-gov,112761,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +37,Private,420040,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +30,Federal-gov,42900,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,32086,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +19,Private,291181,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,50,Mexico,<=50K +22,Private,71009,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +65,Federal-gov,200764,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,?,133336,10th,6,Divorced,?,Not-in-family,White,Male,0,0,25,United-States,<=50K +36,Self-emp-not-inc,166193,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +22,Private,240229,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +28,Private,334032,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +30,State-gov,184901,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +47,Private,132912,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +29,Private,217290,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,184655,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,242739,Bachelors,13,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +52,Private,279344,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,60,United-States,>50K +62,Private,166691,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,154374,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +33,Private,31740,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,129396,11th,7,Never-married,Sales,Other-relative,White,Female,0,0,26,United-States,<=50K +54,Private,195015,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,187431,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +45,State-gov,259087,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +37,State-gov,62428,Some-college,10,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,15,United-States,<=50K +21,Private,77572,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Asian-Pac-Islander,Female,0,0,34,South,<=50K +29,Private,245402,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,State-gov,201117,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +18,?,36779,11th,7,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +62,Private,177028,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K +19,Private,106306,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,20,United-States,<=50K +62,Private,101582,7th-8th,4,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,35,United-States,<=50K +58,Local-gov,158357,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,377850,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +62,Private,207443,11th,7,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,50,United-States,<=50K +23,Private,130959,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,12,United-States,<=50K +37,Private,112497,Bachelors,13,Married-spouse-absent,Exec-managerial,Unmarried,White,Male,4934,0,50,United-States,>50K +42,Private,190545,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,46,United-States,<=50K +21,Private,114292,11th,7,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +41,Private,75171,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,312939,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,52870,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,174947,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +62,Local-gov,106069,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,298696,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,392812,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +53,Private,117932,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +64,Private,135527,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +60,Private,135158,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,48,United-States,>50K +47,Private,54260,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +45,State-gov,28171,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,150324,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,109494,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,45,United-States,>50K +57,Private,204209,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K +19,Private,328167,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +26,Private,157617,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,?,<=50K +63,Self-emp-inc,180955,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K +42,Private,478373,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Self-emp-not-inc,245090,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +34,Private,209900,10th,6,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,?,228649,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +35,Private,190297,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,44780,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,8,United-States,>50K +52,State-gov,32372,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,137184,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +67,Private,366425,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Male,99999,0,60,United-States,>50K +26,Private,160307,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,2001,40,United-States,<=50K +58,Private,170480,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +48,Private,224393,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +25,Private,173212,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,86646,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,4865,0,48,United-States,<=50K +25,Private,108683,Some-college,10,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,50,United-States,<=50K +18,Private,70021,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K +36,Private,192939,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +45,Self-emp-not-inc,144086,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +34,Private,97614,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +68,Self-emp-inc,260198,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +37,Private,486194,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,Guatemala,<=50K +21,Private,112225,Some-college,10,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,15,United-States,<=50K +49,Private,164200,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +39,Local-gov,52401,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +41,Private,195821,Doctorate,16,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,40,United-States,>50K +35,Private,108140,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +29,Local-gov,187981,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +29,?,108126,9th,5,Separated,?,Own-child,White,Female,0,0,40,United-States,<=50K +54,Local-gov,168212,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +32,Self-emp-not-inc,198613,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,?,>50K +18,Private,52098,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +30,Private,509364,Some-college,10,Married-civ-spouse,Adm-clerical,Own-child,White,Male,0,0,40,United-States,>50K +66,?,128614,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,>50K +23,Local-gov,238384,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,317434,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +34,Private,158688,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +39,Self-emp-not-inc,267412,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +26,Local-gov,391074,10th,6,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +78,Private,135692,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,78529,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Private,117700,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +33,Local-gov,83413,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,>50K +44,?,210875,11th,7,Divorced,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +34,Private,108023,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +33,Self-emp-not-inc,103435,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +28,Private,632733,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +55,Private,266019,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,4,United-States,<=50K +30,Private,41210,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K +45,Private,125892,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Poland,<=50K +46,Private,135339,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +17,Private,272372,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,7,United-States,<=50K +40,Private,291300,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +44,Local-gov,157473,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +56,Private,329948,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +69,Self-emp-inc,264722,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +41,Private,132853,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Mexico,<=50K +47,Local-gov,216586,11th,7,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +33,Private,504725,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,3464,0,40,Mexico,<=50K +25,State-gov,150083,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K +42,Private,188789,7th-8th,4,Widowed,Handlers-cleaners,Not-in-family,White,Female,0,0,35,United-States,<=50K +65,?,101427,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,2653,0,30,United-States,<=50K +24,Private,103277,Assoc-voc,11,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +48,Federal-gov,191013,Bachelors,13,Widowed,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +82,Self-emp-inc,220667,7th-8th,4,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,188800,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +34,Private,24361,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,10520,0,40,United-States,>50K +28,Private,82910,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +65,Private,105586,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,20051,0,40,United-States,>50K +66,Self-emp-not-inc,240294,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,60,United-States,<=50K +40,Private,21755,Some-college,10,Never-married,Craft-repair,Other-relative,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K +66,Private,73522,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,?,<=50K +37,Private,222450,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,El-Salvador,<=50K +34,Private,35595,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,239061,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +43,Private,122473,Masters,14,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,1977,50,United-States,>50K +20,Private,190290,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,Canada,<=50K +59,Private,193375,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,10,United-States,<=50K +48,Private,148576,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +45,State-gov,72896,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +28,Private,180299,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +43,Private,221550,Bachelors,13,Separated,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +18,Private,183011,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,15,Haiti,<=50K +34,?,370209,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +55,Self-emp-inc,298449,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2179,60,United-States,<=50K +21,Local-gov,300812,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,173938,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,282172,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +61,Private,87300,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,64520,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,State-gov,119567,Masters,14,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Private,117310,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K +35,State-gov,28738,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,4101,0,40,United-States,<=50K +17,?,99695,10th,6,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K +49,Private,366089,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +40,Private,234397,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K +28,Self-emp-not-inc,132686,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Self-emp-inc,196963,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +31,State-gov,46492,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +38,Local-gov,274245,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +62,Private,360032,10th,6,Divorced,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +40,Private,144778,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +61,Private,142245,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Federal-gov,178074,Masters,14,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1902,40,United-States,>50K +19,?,218171,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,2,South,<=50K +32,Local-gov,130242,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +52,Private,98980,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,284629,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,114591,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +30,Private,134639,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,8614,0,45,United-States,>50K +27,Private,134890,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,199545,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +32,Private,227282,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +47,Self-emp-inc,308241,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,60,United-States,>50K +43,Private,214781,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,38,United-States,>50K +50,Local-gov,173630,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,>50K +42,Federal-gov,348059,Assoc-acdm,12,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K +31,Private,208785,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +43,Private,151809,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K +37,Private,71592,HS-grad,9,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,17,United-States,<=50K +58,Private,132704,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,3325,0,40,United-States,<=50K +32,Private,250583,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K +35,Private,114765,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,>50K +40,Self-emp-not-inc,194924,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +39,Self-emp-not-inc,73471,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,1573,45,United-States,<=50K +51,Private,250423,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +42,Private,145441,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +27,Private,86681,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +69,Private,188643,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,1429,30,United-States,<=50K +74,Private,68326,Assoc-voc,11,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,382859,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,>50K +23,?,211968,Some-college,10,Never-married,?,Own-child,White,Female,0,0,23,Iran,<=50K +48,Local-gov,132368,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,196123,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +68,Private,178066,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,1797,0,24,United-States,<=50K +40,State-gov,105936,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +23,Private,306639,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,26502,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Local-gov,204698,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,118057,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Male,0,0,51,United-States,<=50K +22,State-gov,199266,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,17,United-States,<=50K +49,Private,248145,HS-grad,9,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,40,Nicaragua,<=50K +51,Private,239284,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Self-emp-inc,188738,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +31,Private,209101,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +67,Local-gov,197816,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,24,United-States,<=50K +27,?,60726,Bachelors,13,Never-married,?,Not-in-family,Black,Male,0,0,45,United-States,<=50K +59,Self-emp-not-inc,211678,Masters,14,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,15,United-States,<=50K +66,Private,304957,HS-grad,9,Widowed,Priv-house-serv,Unmarried,White,Female,0,0,25,United-States,<=50K +28,Private,278552,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K +33,Self-emp-not-inc,79303,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +44,Local-gov,64632,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K +39,Private,560313,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,45,United-States,>50K +39,Local-gov,174597,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K +46,Private,139946,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,>50K +19,Private,277695,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,36,Mexico,<=50K +44,Self-emp-not-inc,138471,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,320615,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,2205,40,United-States,<=50K +48,Private,164954,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,42,United-States,<=50K +27,Private,263728,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3137,0,50,United-States,<=50K +44,Private,103980,Some-college,10,Divorced,Prof-specialty,Own-child,White,Male,3325,0,35,United-States,<=50K +30,Private,159442,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,Ireland,<=50K +32,Federal-gov,113838,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +49,Private,28171,Masters,14,Married-civ-spouse,Protective-serv,Husband,White,Male,15024,0,78,United-States,>50K +37,Self-emp-not-inc,227253,Preschool,1,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,Mexico,<=50K +24,Private,211129,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Female,0,0,60,United-States,>50K +19,Private,120003,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +20,Private,245182,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +25,Private,188767,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +29,Private,227890,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +43,Private,131650,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +35,Local-gov,258725,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +47,Local-gov,127678,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,>50K +53,Private,110747,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,409246,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +32,Private,128829,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,170031,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Self-emp-not-inc,150917,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,<=50K +41,Private,197372,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K +49,Self-emp-not-inc,43479,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Male,0,0,63,Canada,>50K +36,Private,166549,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,119684,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,2829,0,28,United-States,<=50K +44,Private,651702,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,United-States,<=50K +69,Self-emp-not-inc,199829,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1258,40,United-States,<=50K +22,Private,86745,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +36,Private,644278,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K +58,Private,31137,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3464,0,60,United-States,<=50K +32,Private,104525,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2407,0,40,United-States,<=50K +19,?,91278,Some-college,10,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +27,Private,111361,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +19,?,291692,Some-college,10,Never-married,?,Own-child,White,Male,0,0,28,United-States,<=50K +35,Private,228881,HS-grad,9,Never-married,Craft-repair,Other-relative,Other,Male,0,0,40,Puerto-Rico,<=50K +58,Private,152731,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +18,Private,178310,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +48,Self-emp-not-inc,116360,Assoc-voc,11,Divorced,Tech-support,Other-relative,Black,Female,0,0,10,United-States,<=50K +22,Private,535852,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Mexico,<=50K +39,Private,30828,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,39518,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +23,Private,445758,5th-6th,3,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,Mexico,<=50K +40,Private,222504,Assoc-voc,11,Never-married,Prof-specialty,Own-child,White,Female,0,0,36,United-States,<=50K +35,Private,357619,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Germany,<=50K +20,?,121389,Some-college,10,Never-married,?,Own-child,White,Male,0,0,32,United-States,<=50K +41,Private,228847,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +27,Private,118598,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,35,United-States,<=50K +58,Private,49893,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +38,Private,452353,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +40,State-gov,285000,Bachelors,13,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +29,Private,263300,HS-grad,9,Separated,Priv-house-serv,Unmarried,Black,Female,0,0,55,United-States,<=50K +28,State-gov,132675,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,Germany,<=50K +35,Private,175232,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,257421,12th,8,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +29,Private,196227,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,34965,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +65,Private,475775,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,22,United-States,<=50K +19,Private,196857,11th,7,Never-married,Adm-clerical,Own-child,White,Female,594,0,15,United-States,<=50K +37,Private,159917,9th,5,Separated,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +22,Private,212803,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +70,Private,118902,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Scotland,<=50K +21,Local-gov,166827,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K +21,Private,180060,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,47218,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +46,Private,73541,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +33,State-gov,150688,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,India,>50K +36,Private,207824,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +42,Self-emp-inc,198282,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +52,Private,206359,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +55,?,125659,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,6,United-States,>50K +60,Local-gov,129193,Some-college,10,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Local-gov,167457,7th-8th,4,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,455469,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +24,Private,206891,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,269323,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +45,Local-gov,187715,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +48,Federal-gov,71376,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,268707,11th,7,Married-civ-spouse,Machine-op-inspct,Other-relative,White,Male,0,0,42,United-States,<=50K +45,Private,215620,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,158438,HS-grad,9,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,209629,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,121076,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,97933,9th,5,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +25,Private,177423,HS-grad,9,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,4416,0,45,Philippines,<=50K +39,Private,185520,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Federal-gov,38321,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +33,Private,213307,1st-4th,2,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,Mexico,<=50K +48,Private,328581,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +58,Private,177368,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,148903,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +53,Self-emp-not-inc,385520,HS-grad,9,Widowed,Farming-fishing,Unmarried,White,Female,0,0,55,United-States,<=50K +25,Self-emp-not-inc,193716,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +21,Private,238899,Bachelors,13,Never-married,Sales,Own-child,Black,Female,0,0,30,United-States,<=50K +36,Private,209993,5th-6th,3,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,40,El-Salvador,<=50K +51,State-gov,136060,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Local-gov,192944,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,29927,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Local-gov,200593,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,311376,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,25,United-States,<=50K +58,Private,206814,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,50,United-States,>50K +21,Private,278391,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,Nicaragua,<=50K +32,Private,364657,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +54,?,120781,Doctorate,16,Married-spouse-absent,?,Unmarried,Asian-Pac-Islander,Male,0,0,20,India,<=50K +62,Private,175080,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +29,?,522241,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +43,Private,161240,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +20,Private,162282,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,60,United-States,<=50K +23,Private,199419,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +26,Private,171114,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,208855,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +30,Private,381030,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +63,Private,219337,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,3471,0,45,United-States,<=50K +45,Private,180010,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +39,Private,189382,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,121712,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,30,United-States,<=50K +28,?,192257,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,5,United-States,<=50K +20,?,68620,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +39,Private,352188,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,398874,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,42,United-States,<=50K +33,Private,191930,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,50,United-States,<=50K +26,Private,269168,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +20,?,123536,Some-college,10,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +40,Private,173651,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +49,Private,149337,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +64,Private,146674,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,?,>50K +65,Private,173483,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +19,Private,223669,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +47,Private,182177,Some-college,10,Divorced,Protective-serv,Unmarried,White,Female,0,0,23,United-States,<=50K +24,Private,109414,Some-college,10,Never-married,Sales,Other-relative,Asian-Pac-Islander,Male,0,0,20,India,<=50K +55,Self-emp-inc,150917,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K +61,Self-emp-not-inc,39128,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +47,Local-gov,103540,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +64,Private,110212,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +37,Private,222450,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,2339,40,El-Salvador,<=50K +21,?,113760,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +40,?,253717,11th,7,Married-civ-spouse,?,Wife,White,Female,0,0,16,United-States,<=50K +25,Private,306908,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,263871,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +40,State-gov,55294,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +21,Private,174063,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +54,State-gov,258735,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +47,Private,275867,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,154235,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +32,Local-gov,210448,Some-college,10,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +32,Private,337908,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,30,United-States,<=50K +26,State-gov,205333,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,10,United-States,<=50K +23,Private,187447,Some-college,10,Separated,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,153589,9th,5,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Local-gov,149988,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,398959,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,?,194096,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +39,Private,44041,Assoc-acdm,12,Married-spouse-absent,Adm-clerical,Other-relative,White,Male,0,0,60,United-States,<=50K +22,Private,208946,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,30,?,<=50K +47,Private,202117,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,37,United-States,<=50K +34,Local-gov,303129,HS-grad,9,Divorced,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +35,Private,215419,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +20,Private,175069,Some-college,10,Never-married,Sales,Own-child,White,Male,1055,0,30,United-States,<=50K +36,Federal-gov,20469,HS-grad,9,Divorced,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +52,Private,254680,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,99,United-States,<=50K +38,Self-emp-inc,46385,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,178463,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,229296,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +38,Private,179352,Assoc-acdm,12,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +56,Self-emp-not-inc,177368,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,>50K +30,Private,156015,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +35,State-gov,308945,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +60,Self-emp-not-inc,119575,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +20,Private,332689,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +18,Private,150817,12th,8,Never-married,Protective-serv,Own-child,White,Female,0,0,45,United-States,<=50K +19,Private,50941,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +53,Federal-gov,59664,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,5013,0,40,United-States,<=50K +18,Private,56613,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,20,United-States,<=50K +44,Private,162372,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Puerto-Rico,<=50K +57,Private,77927,5th-6th,3,Divorced,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,37,United-States,<=50K +36,?,157278,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Self-emp-not-inc,170214,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,Iran,<=50K +33,Private,76493,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +19,Private,130431,5th-6th,3,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,36,Mexico,<=50K +40,State-gov,23037,Some-college,10,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Male,0,0,84,United-States,<=50K +20,Self-emp-not-inc,176321,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,105449,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K +41,Private,157217,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +47,Federal-gov,382532,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K +23,Private,250918,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,30,United-States,<=50K +49,State-gov,139268,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,70,United-States,>50K +37,Self-emp-not-inc,200352,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +67,Private,267915,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +24,Private,376474,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,153047,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +29,Private,154236,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,58,United-States,>50K +22,?,261881,11th,7,Never-married,?,Other-relative,Black,Female,0,0,15,United-States,<=50K +26,Private,427744,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,100580,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,10,United-States,<=50K +23,Private,238179,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,2339,45,United-States,<=50K +37,State-gov,272471,Some-college,10,Widowed,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,259058,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,0,1726,40,United-States,<=50K +41,Private,112656,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,197286,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +47,Federal-gov,26145,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,314440,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,57691,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Male,0,2258,70,United-States,<=50K +33,Private,301251,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +25,Private,243410,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +40,Private,119008,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +67,Private,169435,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,200327,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,18,United-States,<=50K +69,Private,31501,Assoc-voc,11,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,223327,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,1672,42,United-States,<=50K +52,Private,191130,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +22,?,191561,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,30,United-States,<=50K +47,Private,245724,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,194134,Assoc-voc,11,Never-married,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K +23,Private,140764,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,1590,40,United-States,<=50K +41,Self-emp-not-inc,189941,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,149368,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +57,Local-gov,237546,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +34,Private,211051,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +44,State-gov,307468,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,>50K +46,Self-emp-not-inc,27847,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +60,Private,39263,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,3325,0,35,United-States,<=50K +46,Local-gov,183610,Masters,14,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Self-emp-inc,235847,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,52,United-States,<=50K +44,Local-gov,32627,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,60,United-States,>50K +43,Private,42026,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +48,Federal-gov,72808,11th,7,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K +55,Private,377113,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,60,United-States,>50K +24,Private,176389,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +65,Private,71075,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +51,Self-emp-inc,110327,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +42,State-gov,392167,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +36,Private,130808,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,351757,10th,6,Never-married,Other-service,Unmarried,White,Male,0,0,30,El-Salvador,<=50K +24,Self-emp-not-inc,345420,7th-8th,4,Never-married,Farming-fishing,Other-relative,White,Male,0,0,50,United-States,<=50K +52,Private,220984,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,236834,9th,5,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,35,Mexico,<=50K +42,Private,153489,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,330850,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,70,United-States,<=50K +53,Private,337195,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +35,Private,214816,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,36,United-States,<=50K +20,Private,92863,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,226894,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,13550,0,40,United-States,>50K +46,Private,40666,Bachelors,13,Divorced,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,<=50K +18,?,142043,11th,7,Never-married,?,Other-relative,White,Male,0,0,15,United-States,<=50K +58,Private,105239,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +41,Private,112763,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K +66,Self-emp-not-inc,219220,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,2653,0,40,United-States,<=50K +38,State-gov,168223,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,175639,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,28,United-States,<=50K +39,Private,167482,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +44,Local-gov,178417,HS-grad,9,Married-civ-spouse,Protective-serv,Own-child,White,Male,0,0,40,United-States,>50K +26,Local-gov,33604,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,25,United-States,<=50K +27,Private,62082,Bachelors,13,Never-married,Sales,Own-child,Other,Male,0,0,38,United-States,<=50K +29,Private,149902,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,80,United-States,<=50K +29,Private,74784,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K +47,Self-emp-inc,54260,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +62,?,119986,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,>50K +29,Local-gov,165218,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K +52,Local-gov,192853,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Other,Male,0,0,40,Jamaica,>50K +27,Private,56299,11th,7,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +53,?,394690,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,5,United-States,<=50K +29,Private,208406,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +62,Private,165827,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +72,Private,249559,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,25,United-States,<=50K +27,Private,151382,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,161141,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +27,Private,57092,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +49,Private,116927,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +56,Private,133876,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +52,Self-emp-inc,229259,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +22,Private,338162,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,United-States,<=50K +37,Federal-gov,38948,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,169276,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,Black,Male,0,0,40,United-States,<=50K +38,State-gov,364803,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,65,United-States,<=50K +45,Private,302677,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,1340,50,United-States,<=50K +35,Private,235485,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +21,Private,91189,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,60,United-States,<=50K +54,Federal-gov,149596,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,<=50K +19,Private,89211,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +48,State-gov,241854,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +41,Private,213351,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,74631,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +56,Private,128696,11th,7,Married-civ-spouse,Tech-support,Wife,Black,Female,0,0,40,United-States,<=50K +49,Private,141069,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +17,?,347248,10th,6,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +45,Private,176947,7th-8th,4,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +46,Private,274200,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +39,Private,94036,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +52,?,188431,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,<=50K +34,Local-gov,176802,11th,7,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +65,?,258973,Some-college,10,Widowed,?,Not-in-family,White,Female,401,0,14,United-States,<=50K +46,Private,235646,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,175883,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +48,Private,154430,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +71,Private,258126,9th,5,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,39,Cuba,<=50K +26,Federal-gov,337575,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +47,Self-emp-inc,308241,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +21,?,162165,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,43,United-States,<=50K +23,Private,298623,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K +65,Private,270935,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K +60,Private,338833,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,38,United-States,<=50K +19,?,341631,HS-grad,9,Never-married,?,Other-relative,White,Female,0,0,25,United-States,<=50K +35,Private,233786,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +32,Private,366876,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,State-gov,183279,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K +41,Federal-gov,29606,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,>50K +24,Local-gov,137300,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +45,Private,184070,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +48,Private,188610,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +20,Private,41356,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +51,Private,145409,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,?,>50K +24,?,287413,HS-grad,9,Never-married,?,Not-in-family,Black,Male,0,0,60,United-States,<=50K +39,Local-gov,100011,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,38,United-States,<=50K +21,Private,119673,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +49,Private,140782,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,2415,3,United-States,>50K +30,Private,193246,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +68,State-gov,420526,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,5,United-States,<=50K +30,Private,34574,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +32,Self-emp-not-inc,400061,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,15024,0,40,Philippines,>50K +49,Private,107009,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,Portugal,<=50K +24,Private,33551,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K +34,Private,121640,Some-college,10,Divorced,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Male,0,0,44,United-States,<=50K +40,Private,179524,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,?,473206,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,32,United-States,<=50K +41,Private,54422,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +23,Private,202416,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +48,Private,158685,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,16,United-States,<=50K +56,Self-emp-inc,76534,HS-grad,9,Married-civ-spouse,Exec-managerial,Other-relative,Asian-Pac-Islander,Female,0,0,21,China,<=50K +42,State-gov,218948,Doctorate,16,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,36,Jamaica,<=50K +37,Self-emp-not-inc,175120,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +32,Private,100154,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,El-Salvador,<=50K +29,Private,160510,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,>50K +58,Private,223214,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +40,Private,79488,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,136986,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,52,United-States,>50K +33,Private,202339,11th,7,Never-married,Sales,Unmarried,White,Female,0,0,34,United-States,<=50K +58,Private,205737,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,80145,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +22,?,303579,Some-college,10,Never-married,?,Own-child,White,Male,0,1602,8,United-States,<=50K +47,Private,235108,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K +41,State-gov,201363,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,38,United-States,>50K +41,Self-emp-inc,244172,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,>50K +73,?,99349,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,0,15,United-States,<=50K +56,Federal-gov,338242,Assoc-voc,11,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +83,?,29702,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +22,Private,146352,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,60,United-States,<=50K +30,Private,215182,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,?,133456,Assoc-acdm,12,Widowed,?,Not-in-family,White,Female,0,0,50,United-States,<=50K +32,Private,79586,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +27,Private,181822,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,123809,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,35,United-States,>50K +37,Private,35429,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,1506,0,40,United-States,<=50K +48,Private,151584,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,46,United-States,<=50K +42,Private,303725,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +35,Private,194404,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +20,Local-gov,224229,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +33,Private,236396,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K +25,Private,40255,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K +29,State-gov,214881,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Honduras,>50K +47,Private,332465,Some-college,10,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +28,Private,165218,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,55,United-States,<=50K +20,Private,34506,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +30,Local-gov,79190,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Self-emp-not-inc,79001,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,137876,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,20,United-States,<=50K +57,Federal-gov,40103,10th,6,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +24,Self-emp-inc,145964,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,70,United-States,<=50K +32,Private,268282,7th-8th,4,Married-spouse-absent,Farming-fishing,Other-relative,White,Male,0,0,35,Mexico,<=50K +67,Local-gov,272587,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,1086,0,15,United-States,<=50K +22,Private,220993,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,88676,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,185386,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,42,Mexico,<=50K +37,Private,177420,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,>50K +20,?,203353,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +30,Private,100734,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,State-gov,181119,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,?,172232,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,243678,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Self-emp-inc,170174,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +48,Private,102202,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K +38,Private,249720,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +25,Private,167835,Assoc-voc,11,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K +22,Private,266780,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,24,United-States,<=50K +17,Private,173740,10th,6,Never-married,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K +44,Private,40024,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,52,United-States,>50K +28,Private,193260,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,50,South,>50K +18,Private,175752,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +37,Private,202662,10th,6,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +26,Private,167350,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +43,Private,412379,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,28,United-States,<=50K +23,Self-emp-not-inc,121568,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,1504,40,United-States,<=50K +43,Private,56651,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +45,Private,238567,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +34,Private,144949,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +42,Private,234633,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +22,Private,147397,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,44,United-States,<=50K +38,Private,247547,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +35,Private,266645,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,154897,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,50,United-States,<=50K +44,Private,112507,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +45,Federal-gov,110884,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,45,India,>50K +25,Private,151588,Some-college,10,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +54,Local-gov,217210,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,1887,38,United-States,>50K +22,?,185357,Some-college,10,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K +47,Private,139701,5th-6th,3,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,Dominican-Republic,<=50K +36,Private,50707,Bachelors,13,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,40,United-States,<=50K +48,Private,370119,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2415,50,United-States,>50K +66,Self-emp-not-inc,252842,HS-grad,9,Never-married,Farming-fishing,Other-relative,White,Male,0,0,20,United-States,<=50K +58,Private,106707,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,48,United-States,<=50K +25,Private,149486,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K +30,Private,427541,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Female,99999,0,40,United-States,>50K +51,Self-emp-not-inc,22154,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,144949,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,2559,40,United-States,>50K +20,Private,228686,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +57,Self-emp-not-inc,113010,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +23,Federal-gov,361278,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,20,United-States,<=50K +33,Self-emp-not-inc,109509,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +47,Private,172155,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,37,Ecuador,>50K +54,Private,204304,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +75,Private,233362,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +36,Self-emp-inc,141609,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +51,Private,179479,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,3325,0,40,Yugoslavia,<=50K +32,Private,193565,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,314539,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,208908,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Self-emp-not-inc,375526,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +31,Private,291494,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +41,Private,117747,Bachelors,13,Divorced,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +56,Private,331569,HS-grad,9,Married-civ-spouse,Sales,Wife,Black,Female,0,0,36,United-States,<=50K +46,Private,146786,10th,6,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +59,Private,147098,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +31,Private,137076,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,223811,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,23,United-States,<=50K +69,Private,172354,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,White,Female,1848,0,50,United-States,<=50K +35,Private,154410,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +58,Private,277203,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,United-States,<=50K +21,Private,97295,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +60,Private,95680,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,45,United-States,>50K +29,Private,328981,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +29,Self-emp-not-inc,75435,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +53,Private,116288,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +43,Federal-gov,136105,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,1848,40,United-States,>50K +55,Local-gov,134042,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +29,Private,253003,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,2258,45,United-States,>50K +37,Private,193106,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +37,Private,117528,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,194537,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,Private,195820,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +41,Private,265671,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +18,?,90636,Some-college,10,Never-married,?,Own-child,Amer-Indian-Eskimo,Female,594,0,40,United-States,<=50K +57,Private,166107,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,?,<=50K +49,Federal-gov,106207,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,187135,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,56,United-States,<=50K +44,Private,231793,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,52,United-States,<=50K +20,?,228326,Some-college,10,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K +36,Self-emp-not-inc,125933,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5178,0,50,United-States,>50K +29,Local-gov,211032,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,>50K +51,Local-gov,125796,11th,7,Never-married,Farming-fishing,Not-in-family,Black,Female,0,0,40,United-States,<=50K +19,Private,29526,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K +53,Private,158993,10th,6,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +43,Private,116379,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,China,>50K +42,Private,201343,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2885,0,40,United-States,<=50K +44,Private,402718,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +37,Self-emp-inc,98360,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Self-emp-not-inc,285580,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,25,United-States,<=50K +27,?,119851,Some-college,10,Divorced,?,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +30,Private,325509,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +56,Private,204745,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,3325,0,45,United-States,<=50K +58,Private,152874,Some-college,10,Widowed,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +20,Private,139715,HS-grad,9,Never-married,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K +36,Private,141584,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +26,Private,156848,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,40151,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +24,Private,50648,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K +26,Private,122920,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,56,United-States,<=50K +19,Local-gov,91571,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +21,Private,227220,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,33,United-States,<=50K +43,State-gov,344519,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +20,Private,133061,Some-college,10,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K +47,Private,219054,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +62,Local-gov,194276,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +46,Self-emp-inc,168211,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,60,United-States,<=50K +54,Local-gov,220054,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +43,Self-emp-inc,405601,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +34,Private,240979,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,80,United-States,<=50K +47,Local-gov,202606,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +58,Private,220896,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +20,Private,24274,HS-grad,9,Never-married,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K +26,Private,263444,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,14344,0,40,United-States,>50K +51,Local-gov,99064,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +53,Private,203967,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +53,State-gov,94186,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,37,United-States,<=50K +68,?,110931,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,32,United-States,<=50K +46,Local-gov,66934,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K +32,Self-emp-inc,196385,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,47012,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,216013,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +67,Self-emp-not-inc,98921,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,320294,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +27,Private,247102,10th,6,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +65,Private,155632,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,25,United-States,<=50K +22,Self-emp-inc,120753,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K +27,Private,213921,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,30,Mexico,<=50K +30,Private,94235,11th,7,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +44,Private,84141,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,65,United-States,<=50K +35,Private,237943,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,225895,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +36,Local-gov,126569,Bachelors,13,Divorced,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +42,State-gov,172307,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +32,Private,111520,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,34,United-States,<=50K +53,Private,283079,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +41,Private,109969,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +65,Private,146159,7th-8th,4,Widowed,Priv-house-serv,Not-in-family,Black,Female,0,1668,31,United-States,<=50K +22,State-gov,247319,Some-college,10,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Female,0,0,60,United-States,<=50K +65,Local-gov,200764,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,16,United-States,>50K +21,Private,123868,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,137063,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,<=50K +24,Private,112137,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,50,South,<=50K +39,Private,188069,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,15024,0,50,United-States,>50K +52,Private,102828,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +18,Private,187221,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,12,El-Salvador,<=50K +62,Private,343982,10th,6,Widowed,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +28,Self-emp-not-inc,146949,10th,6,Never-married,Sales,Own-child,White,Male,0,0,80,United-States,<=50K +41,Private,150011,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +28,Private,107812,9th,5,Never-married,Transport-moving,Not-in-family,White,Male,6849,0,35,United-States,<=50K +43,Private,207392,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,70,United-States,>50K +61,State-gov,140851,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +26,Private,216842,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,10,United-States,<=50K +34,Private,112115,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,<=50K +21,Local-gov,185279,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +60,Private,194980,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,20,United-States,<=50K +28,Private,189530,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +32,Self-emp-not-inc,38158,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,7298,0,70,United-States,>50K +55,?,246219,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,2105,0,40,United-States,<=50K +51,Private,143822,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,300851,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,56,United-States,<=50K +37,Private,184874,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,1151,0,40,United-States,<=50K +40,Private,83827,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,England,<=50K +44,Private,112847,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +27,Private,581128,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +55,Self-emp-not-inc,202652,Assoc-voc,11,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K +40,Private,171888,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,24,United-States,>50K +30,Private,45427,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,70,United-States,<=50K +36,Private,185848,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +74,Private,282553,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Federal-gov,153614,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,65353,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K +44,Private,244172,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Mexico,<=50K +48,Private,148995,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,14084,0,45,United-States,>50K +25,Private,274228,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,65,United-States,<=50K +33,Private,156383,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +49,Private,47403,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K +75,?,226593,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +33,Self-emp-not-inc,94041,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,1974,30,United-States,<=50K +29,Private,271710,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +47,Federal-gov,231797,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,55,United-States,>50K +33,Private,188403,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,44,United-States,<=50K +65,Private,444725,Prof-school,15,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,48,Hungary,>50K +17,Private,242605,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K +58,Private,244605,Bachelors,13,Widowed,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K +55,Private,335276,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +37,Self-emp-not-inc,284616,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,48,United-States,<=50K +60,Private,162151,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +25,Private,60358,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +34,Private,151693,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +20,?,369907,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +26,Private,171636,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,72,United-States,<=50K +34,Private,118901,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,State-gov,28419,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +34,Private,608881,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +31,Self-emp-inc,112564,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,40,?,<=50K +25,Private,171472,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K +20,Private,236804,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +38,Private,212252,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +69,Private,119907,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Local-gov,352797,HS-grad,9,Married-spouse-absent,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K +32,Private,97281,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +65,Private,154351,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,2993,0,40,United-States,<=50K +22,Private,117606,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K +25,Private,222089,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,Thailand,<=50K +40,Private,199668,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +29,Local-gov,194869,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +33,Private,283268,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +60,Private,170278,5th-6th,3,Widowed,Sales,Not-in-family,White,Female,0,0,40,Italy,<=50K +28,Federal-gov,90787,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +28,Private,110749,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,39,United-States,<=50K +72,Self-emp-not-inc,173864,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,2290,0,45,United-States,<=50K +35,Private,278442,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,48,United-States,>50K +33,State-gov,162705,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,99,United-States,>50K +36,Private,326352,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +18,Private,105854,HS-grad,9,Never-married,Craft-repair,Other-relative,Other,Male,0,0,32,United-States,<=50K +38,Self-emp-inc,116608,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,20,United-States,>50K +48,Private,182655,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +22,Private,213834,Assoc-voc,11,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +29,Private,42881,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +81,Self-emp-not-inc,240414,Bachelors,13,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,30,United-States,<=50K +19,Private,37688,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +39,Self-emp-not-inc,189922,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +20,?,323309,HS-grad,9,Never-married,?,Own-child,Other,Male,0,0,60,South,<=50K +41,Federal-gov,341638,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,92,United-States,<=50K +50,Private,114758,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +54,Private,288557,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,46,United-States,<=50K +18,?,191817,11th,7,Never-married,?,Own-child,White,Male,0,0,20,Mexico,<=50K +18,Private,222851,11th,7,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K +54,Private,93605,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,263984,Some-college,10,Married-spouse-absent,Exec-managerial,Not-in-family,Black,Male,0,0,40,?,<=50K +21,Private,190916,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +22,Private,384787,9th,5,Never-married,Sales,Other-relative,White,Female,0,0,40,Mexico,<=50K +19,Local-gov,43921,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,183739,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,8,United-States,>50K +37,Private,490871,11th,7,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,25,United-States,<=50K +31,Private,173473,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,45,United-States,>50K +31,Self-emp-not-inc,24504,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K +60,Private,113080,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +43,Private,197093,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +65,Private,56924,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,10,United-States,<=50K +33,Federal-gov,207723,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,?,<=50K +32,Private,327902,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,197860,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,Haiti,<=50K +53,Private,95647,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +50,Private,98227,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,430151,11th,7,Never-married,Craft-repair,Unmarried,White,Male,0,0,30,United-States,<=50K +60,Private,73069,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +32,Private,101345,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,1741,40,United-States,<=50K +36,Private,196123,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,>50K +20,Private,24008,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +39,Private,67433,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +35,?,224466,HS-grad,9,Never-married,?,Other-relative,Black,Male,0,0,24,United-States,<=50K +29,Private,292120,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K +52,Private,198362,Bachelors,13,Never-married,Sales,Other-relative,White,Female,0,0,25,United-States,<=50K +41,Private,231507,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,216178,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +52,?,91447,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,2205,8,United-States,<=50K +40,Private,232820,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +40,Private,53956,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +22,Private,155913,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,18,United-States,<=50K +69,Private,104827,HS-grad,9,Widowed,Tech-support,Unmarried,White,Female,0,0,8,United-States,<=50K +28,Private,197222,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,38,United-States,<=50K +57,Private,255406,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,1980,44,United-States,<=50K +54,Federal-gov,278076,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K +41,Local-gov,231348,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,196286,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,76417,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +39,Self-emp-inc,190964,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3137,0,42,United-States,<=50K +57,Federal-gov,239486,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,45,United-States,>50K +18,Private,101709,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,15,United-States,<=50K +53,Private,120914,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,60722,HS-grad,9,Divorced,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +28,Private,257405,5th-6th,3,Never-married,Farming-fishing,Unmarried,Black,Male,0,0,40,Mexico,<=50K +61,Private,32209,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2051,40,United-States,<=50K +45,Private,431245,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +52,Self-emp-not-inc,95082,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +57,Private,220986,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +40,Private,87771,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +72,Self-emp-inc,199233,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2377,35,United-States,>50K +23,Private,133515,Bachelors,13,Never-married,Sales,Unmarried,White,Female,0,0,20,United-States,<=50K +46,Private,117310,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,36,United-States,<=50K +51,Private,163027,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,20,United-States,<=50K +46,Private,169711,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +43,Private,91317,Assoc-acdm,12,Never-married,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,106159,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +53,Local-gov,177063,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +31,Private,175059,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,129573,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K +59,Private,169611,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,247506,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,37085,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +25,Private,202033,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +26,Private,179864,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +51,State-gov,88020,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K +28,?,243190,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,0,0,30,?,<=50K +33,Private,102270,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K +25,Private,81286,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,2174,0,40,United-States,<=50K +23,?,205690,Assoc-voc,11,Never-married,?,Unmarried,Black,Male,0,0,40,United-States,<=50K +35,State-gov,37314,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,29213,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +43,Self-emp-not-inc,451019,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +49,Self-emp-inc,125892,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +45,Private,259412,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K +49,Federal-gov,207540,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +38,Private,110167,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,430336,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,7688,0,45,United-States,>50K +39,Self-emp-inc,210610,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,31,Cuba,>50K +26,Private,86483,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,138507,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K +26,Federal-gov,345157,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +71,Local-gov,161342,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,3,United-States,<=50K +27,Private,159109,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,42,United-States,<=50K +34,Private,54608,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Local-gov,433602,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,38,United-States,<=50K +36,Self-emp-not-inc,350103,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,166193,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +41,Federal-gov,56236,HS-grad,9,Divorced,Protective-serv,Unmarried,Black,Male,1506,0,40,United-States,<=50K +47,Private,156926,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +36,Private,26698,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +43,Self-emp-not-inc,75993,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +39,Private,312271,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +35,Private,70282,HS-grad,9,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +22,Private,259109,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,18,United-States,<=50K +45,Private,192360,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K +33,Private,373432,Some-college,10,Separated,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K +21,Local-gov,176998,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Federal-gov,32950,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +30,Self-emp-not-inc,48520,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,80,United-States,<=50K +47,State-gov,237525,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,202746,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,179255,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +47,Self-emp-inc,337825,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +68,Self-emp-not-inc,191517,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,239130,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,2444,40,United-States,>50K +42,Private,233366,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,Other,Male,3103,0,40,Mexico,>50K +36,?,137492,HS-grad,9,Divorced,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +28,Private,66893,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,1564,50,United-States,>50K +61,Private,266646,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,Black,Male,2290,0,40,United-States,<=50K +33,Private,238246,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,Germany,<=50K +23,Private,215616,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +40,Private,148316,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,172402,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +45,Private,195918,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +23,Private,33016,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,267281,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +33,Federal-gov,43608,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +21,Private,57827,HS-grad,9,Widowed,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,110145,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,162884,HS-grad,9,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,60,Columbia,<=50K +43,State-gov,145166,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,84,United-States,<=50K +50,Private,193720,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K +48,Private,310639,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +49,Private,196360,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,46,United-States,>50K +28,Private,370675,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1408,50,Hong,<=50K +36,Private,398931,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K +28,Local-gov,104329,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K +61,Self-emp-inc,103575,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K +25,State-gov,222800,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,176239,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,321274,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +46,Private,192713,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,?,<=50K +25,Private,407714,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,?,247547,HS-grad,9,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +45,Private,123219,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,165950,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,21,United-States,<=50K +28,Private,182509,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,35,United-States,<=50K +39,Private,27408,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,50,United-States,>50K +33,Private,110592,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +28,State-gov,175409,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,172822,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,15020,0,48,United-States,>50K +21,Private,265361,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +26,State-gov,106491,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,179557,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +63,Private,187919,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,45,United-States,<=50K +45,Private,196707,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +22,Private,216129,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +52,Self-emp-not-inc,100480,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K +57,Self-emp-not-inc,69905,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,15024,0,40,United-States,>50K +38,Private,297767,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K +46,Self-emp-not-inc,214627,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,45,United-States,>50K +52,Private,251908,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,2547,40,United-States,>50K +55,Self-emp-inc,304695,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +21,Private,48121,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,125228,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +17,Private,408012,12th,8,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +57,Private,161642,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +30,Private,181212,Some-college,10,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K +48,Self-emp-inc,76482,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,295073,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,50,United-States,<=50K +45,?,69596,10th,6,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Private,262461,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +34,Local-gov,112680,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +35,Private,342642,Masters,14,Married-spouse-absent,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,211968,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Local-gov,153536,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,37,United-States,>50K +21,Private,188923,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +30,Private,391114,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Private,45599,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,?,<=50K +37,Private,119929,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,47,United-States,<=50K +24,Private,130442,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +41,Private,192602,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +61,Private,328881,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +37,Private,165034,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,2002,40,United-States,<=50K +39,Private,93174,HS-grad,9,Divorced,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K +28,Local-gov,205903,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K +24,Self-emp-inc,197496,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +29,Private,226941,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +61,Private,199193,Assoc-acdm,12,Divorced,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,187870,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +56,Private,364899,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,65,United-States,>50K +28,Private,437994,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,60,United-States,<=50K +24,Private,166827,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +35,Private,207819,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +31,Private,37939,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,43,United-States,<=50K +39,Private,77146,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +35,?,29075,11th,7,Divorced,?,Unmarried,Amer-Indian-Eskimo,Female,0,0,6,United-States,<=50K +20,Private,167868,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +25,Private,150132,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,365881,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,25,United-States,<=50K +37,Private,105044,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +47,Private,145636,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +36,Private,161547,Bachelors,13,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +34,Federal-gov,77218,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Self-emp-not-inc,241126,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,60,United-States,<=50K +85,Self-emp-inc,155981,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +71,Self-emp-inc,45741,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,20051,0,30,United-States,>50K +23,Private,256356,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +39,State-gov,105803,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K +77,Self-emp-inc,29702,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,>50K +20,Private,107882,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +40,Private,77572,Some-college,10,Divorced,Sales,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +34,Private,209768,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +33,Private,89360,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,5178,0,55,United-States,>50K +34,Self-emp-not-inc,227540,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,60,India,<=50K +36,Private,292570,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,3325,0,40,United-States,<=50K +36,Private,409189,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +32,Local-gov,194901,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2057,70,United-States,<=50K +26,Local-gov,219796,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,43,United-States,<=50K +37,State-gov,117166,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,<=50K +42,Private,228320,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,5178,0,45,United-States,>50K +38,Private,236391,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +48,Private,193451,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,223367,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,33001,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,173858,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,7688,0,35,China,>50K +33,Private,240441,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +26,Private,160264,11th,7,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +25,Private,230403,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +61,Private,154536,10th,6,Widowed,Craft-repair,Unmarried,Black,Female,0,2001,40,United-States,<=50K +44,Self-emp-not-inc,247024,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +65,Self-emp-inc,410199,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,9386,0,35,United-States,>50K +23,Private,191878,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,38,?,<=50K +67,State-gov,54269,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,12,United-States,<=50K +37,Private,205997,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,47343,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,70,United-States,>50K +35,Federal-gov,403489,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +48,Private,232149,Bachelors,13,Divorced,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +50,?,339547,Some-college,10,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,50,?,<=50K +36,Private,186819,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +20,Private,89991,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,35,United-States,<=50K +32,Private,112139,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +18,Private,244571,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +36,Private,220696,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +50,Private,135102,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +24,Private,209417,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,60,United-States,>50K +43,Private,199689,Bachelors,13,Married-spouse-absent,Sales,Unmarried,White,Female,0,0,20,United-States,<=50K +27,Private,240172,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,?,94492,10th,6,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +29,Private,188564,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,45,United-States,>50K +19,Private,264527,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +38,Private,189922,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +64,Private,182044,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +31,Self-emp-not-inc,271173,Some-college,10,Never-married,Craft-repair,Own-child,Black,Male,4650,0,40,United-States,<=50K +30,Private,203034,Assoc-voc,11,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,100734,Bachelors,13,Married-civ-spouse,Exec-managerial,Other-relative,White,Female,0,0,40,Greece,>50K +33,Private,169269,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,Puerto-Rico,>50K +59,Private,24244,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,132222,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +27,Private,199118,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,4865,0,40,United-States,<=50K +34,Private,223212,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Peru,<=50K +27,Private,284859,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,112854,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,35,United-States,<=50K +41,Federal-gov,92968,Masters,14,Never-married,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K +36,Private,181553,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K +25,Private,266668,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,20,United-States,<=50K +33,Private,29144,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +26,Self-emp-not-inc,389856,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +42,Private,111589,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,232938,Some-college,10,Never-married,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K +45,Private,103540,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K +59,Private,249814,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K +26,Private,30776,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +20,Private,184779,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Self-emp-not-inc,93449,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K +32,Local-gov,178107,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,198956,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Other,Male,0,0,35,United-States,<=50K +53,Private,130143,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +47,Private,171807,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,?,436431,Preschool,1,Married-civ-spouse,?,Other-relative,White,Female,0,0,40,Mexico,<=50K +17,Private,162205,10th,6,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,15,United-States,<=50K +48,Private,97470,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +32,Self-emp-not-inc,158603,Assoc-voc,11,Never-married,Sales,Unmarried,White,Female,0,0,7,United-States,<=50K +58,Private,348430,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +72,Private,109385,1st-4th,2,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,36,United-States,<=50K +45,Private,188998,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K +41,Private,210591,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +66,Self-emp-not-inc,37170,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,42,United-States,>50K +34,Private,169583,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +33,Private,180624,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +47,Private,186311,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +35,Private,106471,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +27,Private,37302,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,91608,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,263896,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +25,Private,335376,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K +38,Private,186531,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,State-gov,42706,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +29,Private,180115,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,45,United-States,<=50K +42,Private,191196,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,209109,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,199224,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K +65,State-gov,42488,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,2653,0,8,United-States,<=50K +19,Self-emp-not-inc,63574,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,227943,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +54,Private,297551,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +46,Private,343579,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,77,United-States,<=50K +34,Private,230246,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,2202,0,99,United-States,<=50K +57,Self-emp-not-inc,110199,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K +32,Private,178691,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,45,United-States,<=50K +36,Self-emp-not-inc,165855,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Germany,<=50K +34,Private,27565,Assoc-voc,11,Married-civ-spouse,Craft-repair,Wife,Amer-Indian-Eskimo,Female,0,0,27,United-States,>50K +54,Private,220115,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1628,40,United-States,<=50K +34,Private,113751,11th,7,Divorced,Sales,Own-child,Black,Female,0,0,37,United-States,<=50K +72,Private,128793,5th-6th,3,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,36,United-States,<=50K +23,Private,97472,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,153064,5th-6th,3,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,10,Yugoslavia,>50K +57,Private,190488,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +22,Local-gov,326283,Some-college,10,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K +40,Private,61287,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,214288,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,198856,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K +51,Federal-gov,914061,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,44,United-States,>50K +24,Private,186648,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K +49,Private,350759,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +76,?,197988,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +37,Private,188571,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,112776,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +21,Private,100345,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,53,United-States,<=50K +49,Private,291783,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +69,?,156387,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +38,?,295166,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K +44,Private,132849,Masters,14,Never-married,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Private,300497,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Male,0,0,40,United-States,<=50K +54,Private,338089,Masters,14,Separated,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,104257,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +40,Private,112247,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +41,Federal-gov,73070,Masters,14,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K +48,Self-emp-inc,49298,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K +51,Local-gov,289390,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +36,Private,219546,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +35,Private,194490,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,358655,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,>50K +39,Private,286026,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K +55,Private,401473,Masters,14,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +26,Private,197967,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +46,Local-gov,216647,10th,6,Divorced,Protective-serv,Unmarried,White,Female,0,0,20,United-States,<=50K +70,Self-emp-not-inc,355536,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,24,United-States,<=50K +20,Private,193130,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +46,Self-emp-inc,67725,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,10,United-States,<=50K +35,Private,209629,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,143964,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +57,Self-emp-inc,249072,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,60,United-States,>50K +64,?,285742,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K +63,Self-emp-not-inc,130221,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +21,Federal-gov,201815,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,30,United-States,<=50K +43,Local-gov,67243,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K +35,Private,202263,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,38,United-States,<=50K +21,Private,122048,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,29,United-States,<=50K +23,Private,231866,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,38,United-States,<=50K +35,Private,211440,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +28,Private,25955,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +61,?,274499,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,305474,10th,6,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Haiti,<=50K +73,Local-gov,222702,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,5,United-States,<=50K +33,State-gov,120460,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,31657,Assoc-voc,11,Separated,Other-service,Not-in-family,White,Female,0,0,34,United-States,<=50K +19,Private,327079,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +42,Private,234633,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,47,United-States,<=50K +27,Private,203776,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,45,United-States,>50K +24,Self-emp-inc,242138,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +19,Private,276937,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +36,Private,117528,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +41,Self-emp-not-inc,171351,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +43,Private,138471,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Local-gov,329341,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +57,Private,62539,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,1876,38,United-States,<=50K +58,Private,265579,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,218215,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +39,Federal-gov,116369,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,<=50K +24,Private,403107,Preschool,1,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,Mexico,<=50K +29,State-gov,103389,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,4787,0,40,United-States,>50K +26,State-gov,624006,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,344094,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +67,Self-emp-inc,147377,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +49,Private,90579,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,5013,0,50,United-States,<=50K +47,Private,91972,HS-grad,9,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,35,United-States,>50K +59,Self-emp-not-inc,275236,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K +23,Private,340432,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,158592,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,50,United-States,>50K +48,Private,278303,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +33,Self-emp-not-inc,300681,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,?,<=50K +37,Private,160192,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,6849,0,80,United-States,<=50K +29,Private,148429,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +24,Private,210474,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +41,Private,510072,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +21,Self-emp-not-inc,328906,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,4865,0,35,United-States,<=50K +26,Private,247196,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +54,Private,178839,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,40,England,>50K +60,Private,178764,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K +38,Private,218490,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,44047,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Local-gov,125268,Bachelors,13,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +37,Local-gov,76845,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,?,<=50K +37,Local-gov,484475,Bachelors,13,Never-married,Other-service,Not-in-family,Black,Male,0,0,60,United-States,<=50K +22,Private,114357,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +33,Private,219619,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +22,?,33016,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +47,Local-gov,319205,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +54,?,389182,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,60,Germany,<=50K +34,Private,262118,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +50,Private,141340,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,189703,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,32,United-States,<=50K +41,?,307589,Bachelors,13,Married-civ-spouse,?,Wife,Asian-Pac-Islander,Female,0,0,5,Philippines,<=50K +29,Private,116531,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,142621,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Self-emp-inc,327573,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,24896,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +36,Private,69251,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +38,Private,91716,11th,7,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,93717,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +38,Self-emp-not-inc,111499,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K +41,?,193537,Assoc-acdm,12,Divorced,?,Unmarried,White,Female,0,0,10,Dominican-Republic,<=50K +24,Private,307267,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,Private,249196,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +64,?,201700,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,188644,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,Mexico,<=50K +32,Private,255004,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +34,Private,100145,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K +18,Private,183274,11th,7,Never-married,Other-service,Own-child,White,Female,594,0,30,United-States,<=50K +45,Self-emp-not-inc,44671,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,354351,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,346189,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +49,Private,304864,Some-college,10,Divorced,Tech-support,Unmarried,Black,Female,0,0,35,United-States,<=50K +68,Self-emp-inc,505365,Bachelors,13,Separated,Sales,Unmarried,White,Male,0,0,70,Canada,<=50K +18,State-gov,268520,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +27,State-gov,210295,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,103339,10th,6,Never-married,Sales,Own-child,White,Female,0,1719,16,United-States,<=50K +33,Private,145437,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +48,Private,56071,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +34,Private,233729,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,50,United-States,>50K +41,Private,265932,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +74,Private,154347,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,10,United-States,<=50K +40,Private,277507,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,0,1669,40,United-States,<=50K +53,Federal-gov,172898,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +47,Private,182655,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,52,United-States,>50K +20,?,175431,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,181460,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,37,United-States,<=50K +38,Private,149771,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K +44,Private,45363,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,44,United-States,>50K +48,Private,180010,Some-college,10,Separated,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +36,?,103886,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K +20,Private,233198,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +47,Federal-gov,124974,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +61,?,29059,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,12,United-States,<=50K +34,Private,136331,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +43,Private,106900,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +25,Self-emp-not-inc,314464,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +51,State-gov,152810,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +50,State-gov,76728,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,39,United-States,<=50K +42,Private,55854,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,36801,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,18,United-States,<=50K +51,?,243631,HS-grad,9,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,2105,0,20,South,<=50K +46,Local-gov,155654,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Private,173987,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K +18,Private,115725,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K +21,Private,154556,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,?,<=50K +33,Self-emp-not-inc,234976,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +27,Private,122913,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +36,Local-gov,187411,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +31,Private,193285,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,?,96219,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,50,United-States,<=50K +20,Private,117767,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +45,Self-emp-inc,81534,HS-grad,9,Never-married,Sales,Unmarried,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +22,Private,202125,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +40,Local-gov,225660,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,State-gov,203279,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,20,India,<=50K +40,Self-emp-not-inc,151960,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,38,United-States,<=50K +48,Private,368561,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,37,United-States,>50K +30,Private,202046,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,20,United-States,<=50K +61,Private,197286,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +49,Self-emp-not-inc,285570,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +22,Private,380899,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,325217,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,32,United-States,<=50K +26,Private,111058,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K +27,State-gov,162312,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,50,South,<=50K +41,Self-emp-inc,136986,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +33,Federal-gov,97654,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,229116,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K +43,Private,159549,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K +29,Private,195760,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K +44,Self-emp-inc,277788,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,Portugal,>50K +37,State-gov,120201,Some-college,10,Divorced,Adm-clerical,Own-child,Other,Female,0,0,40,United-States,<=50K +24,Private,236601,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,2339,43,United-States,<=50K +65,?,94809,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,219757,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +35,Local-gov,160728,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +39,Private,308945,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,50,United-States,<=50K +47,Self-emp-not-inc,185859,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,3103,0,60,United-States,>50K +47,?,163748,Masters,14,Divorced,?,Unmarried,White,Female,0,0,35,?,<=50K +51,State-gov,48358,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,52,United-States,>50K +38,Federal-gov,77792,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,56,United-States,<=50K +44,Private,114753,Some-college,10,Widowed,Tech-support,Unmarried,White,Female,0,0,38,United-States,<=50K +24,Private,234259,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +41,Private,152617,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Private,204567,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +60,Self-emp-not-inc,145209,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +40,Private,240698,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +72,?,195181,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K +27,Private,299536,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,55,United-States,<=50K +36,Private,238802,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K +44,Private,150519,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +33,State-gov,237903,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Self-emp-not-inc,257940,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,383670,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K +44,Private,179666,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,259727,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +52,Federal-gov,277772,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +51,Self-emp-not-inc,67198,Assoc-acdm,12,Widowed,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K +41,Private,22419,9th,5,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,84,United-States,<=50K +42,Private,99373,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +54,Federal-gov,147629,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,35,United-States,>50K +31,Self-emp-not-inc,145714,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +30,Private,49358,12th,8,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K +21,Private,214956,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,30,United-States,<=50K +29,Private,66172,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Local-gov,136749,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +27,?,258231,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,35,?,<=50K +19,Private,43937,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K +33,Self-emp-not-inc,114639,11th,7,Never-married,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K +72,Self-emp-not-inc,104090,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Scotland,<=50K +21,Private,137510,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,Germany,<=50K +23,Private,123586,Some-college,10,Never-married,Adm-clerical,Own-child,Other,Male,0,0,25,United-States,<=50K +45,Private,293628,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,Philippines,>50K +37,Federal-gov,239409,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +37,Self-emp-inc,593246,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,>50K +36,Private,30269,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,7298,0,32,United-States,>50K +31,Private,48456,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +63,Private,153894,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,24,Puerto-Rico,<=50K +24,Private,182117,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,28,United-States,<=50K +29,Private,231148,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +53,Private,184176,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +40,Self-emp-not-inc,29702,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,85,United-States,<=50K +40,Private,276759,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,60,United-States,>50K +36,Private,179731,HS-grad,9,Never-married,Priv-house-serv,Other-relative,White,Female,0,0,20,?,<=50K +64,Private,234570,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,143485,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +20,Private,143062,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,146516,Some-college,10,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,48,United-States,<=50K +19,?,180395,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,36,United-States,<=50K +32,Private,108256,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +25,Private,211392,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K +26,Federal-gov,271243,12th,8,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,Haiti,<=50K +25,Local-gov,197822,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +40,Self-emp-not-inc,167678,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Dominican-Republic,>50K +30,Private,30101,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +46,Local-gov,232220,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +29,?,212588,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,53,United-States,<=50K +35,Private,306156,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +30,Self-emp-not-inc,70985,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,75,United-States,<=50K +58,Private,185459,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,91141,10th,6,Never-married,Sales,Own-child,White,Male,0,0,8,United-States,<=50K +42,Private,347653,Bachelors,13,Divorced,Other-service,Unmarried,White,Male,0,0,60,United-States,<=50K +31,Private,189759,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +46,Private,272792,Bachelors,13,Divorced,Craft-repair,Not-in-family,Black,Female,0,0,40,United-States,<=50K +27,?,95708,11th,7,Divorced,?,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +71,?,111712,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K +32,Private,132767,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +62,Self-emp-not-inc,162245,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +78,Self-emp-not-inc,152148,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K +54,?,186565,Masters,14,Divorced,?,Not-in-family,White,Male,0,0,1,United-States,<=50K +22,Private,193385,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +31,Private,185778,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K +32,Private,162370,Masters,14,Separated,Prof-specialty,Not-in-family,White,Female,0,0,35,Iran,<=50K +38,Private,340763,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Male,0,2339,47,United-States,<=50K +77,Private,148949,10th,6,Married-civ-spouse,Other-service,Husband,Black,Male,3818,0,30,United-States,<=50K +62,Self-emp-not-inc,147393,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +33,Local-gov,187203,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +40,Local-gov,147206,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +65,Private,228182,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +31,Private,177426,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +32,?,161288,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,<=50K +32,Private,133530,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K +45,Private,117849,11th,7,Married-civ-spouse,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K +70,Private,132670,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,9386,0,4,United-States,>50K +38,Self-emp-inc,98360,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +37,Private,226500,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,35644,Assoc-voc,11,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +34,Private,49325,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +19,Private,142738,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,14084,0,20,United-States,>50K +54,Self-emp-not-inc,207841,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K +32,Private,269355,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,50,United-States,>50K +32,Self-emp-inc,190290,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +24,Private,209034,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +35,Private,174571,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +28,Private,198583,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,35,United-States,<=50K +28,Private,128055,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +41,Private,319271,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,91857,HS-grad,9,Divorced,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K +21,Private,376416,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +31,Local-gov,323829,HS-grad,9,Divorced,Protective-serv,Other-relative,White,Male,0,0,45,United-States,<=50K +22,Private,209646,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,6,United-States,<=50K +28,State-gov,90872,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +52,Private,287454,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K +23,Private,208946,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +37,Local-gov,130805,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,99,United-States,>50K +23,Private,247090,9th,5,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,55,United-States,<=50K +21,Private,249150,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K +57,Private,187138,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,166497,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,60,United-States,>50K +50,Private,155433,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +45,State-gov,164593,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,?,<=50K +37,Private,211168,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,35,United-States,<=50K +24,Self-emp-not-inc,162688,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +58,Local-gov,185072,Bachelors,13,Separated,Prof-specialty,Unmarried,Black,Female,0,0,40,Jamaica,>50K +50,Private,154153,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +58,Self-emp-not-inc,166258,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +31,Self-emp-not-inc,190650,Masters,14,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K +60,State-gov,165792,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,8,United-States,<=50K +61,Private,313170,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,188279,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Thailand,<=50K +27,Self-emp-not-inc,209301,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +37,Private,194820,HS-grad,9,Separated,Craft-repair,Unmarried,White,Female,0,0,42,United-States,<=50K +36,Private,171393,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K +31,Private,268282,7th-8th,4,Married-civ-spouse,Farming-fishing,Other-relative,White,Male,0,0,35,Mexico,<=50K +23,Private,219519,Some-college,10,Never-married,Sales,Not-in-family,Black,Female,0,0,30,United-States,<=50K +44,State-gov,369131,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +21,Private,195571,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +57,Private,114686,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,2202,0,44,United-States,<=50K +24,Private,356861,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +26,Private,156848,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +66,Private,147766,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +60,Local-gov,134768,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +52,Self-emp-not-inc,156882,Some-college,10,Married-civ-spouse,Sales,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +21,Private,131404,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,United-States,<=50K +32,Self-emp-inc,233727,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,60,United-States,>50K +21,?,216867,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,40,Mexico,<=50K +48,Private,168556,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +63,Private,60459,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K +42,Private,212894,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,23,United-States,>50K +17,Private,41865,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,5,United-States,<=50K +30,Private,175413,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,35,United-States,<=50K +33,Private,149902,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +55,Private,180497,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,0,0,52,United-States,<=50K +39,Self-emp-not-inc,107302,Bachelors,13,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,35,United-States,>50K +33,Private,93283,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +34,Self-emp-not-inc,264351,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +59,State-gov,136819,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,8,United-States,>50K +32,Self-emp-not-inc,295010,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +62,Private,291904,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,Black,Female,0,0,20,United-States,<=50K +21,Self-emp-inc,225442,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +57,State-gov,170108,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K +19,Private,193859,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,2176,0,35,Germany,<=50K +38,Local-gov,326701,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,>50K +38,State-gov,196373,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K +20,Private,258730,HS-grad,9,Never-married,Priv-house-serv,Own-child,White,Female,0,0,40,United-States,<=50K +24,Private,190293,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Local-gov,170263,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,30,United-States,>50K +24,Private,300275,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,State-gov,255254,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,37,United-States,<=50K +51,Private,166461,11th,7,Divorced,Machine-op-inspct,Unmarried,Black,Female,5455,0,40,United-States,<=50K +27,Private,96219,HS-grad,9,Divorced,Other-service,Own-child,White,Female,3418,0,32,United-States,<=50K +38,Self-emp-inc,186845,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,99697,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +42,Private,143069,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +53,Private,117674,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +35,Private,261504,HS-grad,9,Married-spouse-absent,Transport-moving,Other-relative,White,Female,0,0,40,Dominican-Republic,<=50K +37,Private,29660,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,202560,Assoc-acdm,12,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,>50K +27,Private,178713,11th,7,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K +34,Private,100734,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,112009,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +69,Private,144056,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +47,Private,70209,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,143816,Some-college,10,Never-married,Machine-op-inspct,Other-relative,Black,Male,0,0,30,United-States,<=50K +23,?,164732,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,10,United-States,<=50K +30,State-gov,714597,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,45,United-States,<=50K +71,Private,187703,Assoc-voc,11,Widowed,Prof-specialty,Unmarried,White,Female,11678,0,38,United-States,>50K +53,Private,418901,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K +22,Private,169188,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +47,Private,70554,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K +28,Private,31801,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,50,United-States,>50K +25,Self-emp-not-inc,195000,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,215392,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,7298,0,45,United-States,>50K +33,Private,97723,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,121012,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +19,Private,218956,12th,8,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,171003,7th-8th,4,Never-married,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +20,Self-emp-inc,154782,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K +27,?,132372,HS-grad,9,Never-married,?,Unmarried,White,Female,0,0,40,?,<=50K +18,?,151404,11th,7,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K +53,Private,816750,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,72,United-States,>50K +67,Private,92943,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,21,United-States,<=50K +47,?,104489,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,<=50K +55,Self-emp-not-inc,218456,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,Hungary,<=50K +39,Private,301614,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,307134,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,<=50K +37,State-gov,106347,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,<=50K +36,Private,127961,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +32,Self-emp-inc,206297,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +20,Private,171156,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +31,Private,104729,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,35,Mexico,<=50K +47,Private,85109,Some-college,10,Never-married,Sales,Not-in-family,White,Male,13550,0,45,United-States,>50K +25,Private,199143,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,110371,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,250782,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,281574,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,6849,0,43,United-States,<=50K +28,Private,147889,10th,6,Married-AF-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +36,Private,298753,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +55,Private,248841,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +51,Self-emp-inc,274948,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +22,Private,41763,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,42,United-States,<=50K +27,?,176683,Some-college,10,Never-married,?,Own-child,White,Male,0,1719,40,United-States,<=50K +37,Private,385251,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +23,Private,145964,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +61,Private,33460,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +46,State-gov,121586,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Federal-gov,112008,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,Germany,<=50K +24,Private,163053,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,36,United-States,<=50K +21,?,34446,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +33,Self-emp-not-inc,147201,Bachelors,13,Separated,Prof-specialty,Own-child,Black,Male,0,0,35,United-States,<=50K +60,Private,491214,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +36,Private,102729,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,>50K +37,?,70282,HS-grad,9,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +48,Self-emp-inc,216214,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K +43,Private,212206,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +53,Local-gov,235567,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,356410,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,99999,0,40,United-States,>50K +26,Private,223558,HS-grad,9,Never-married,Tech-support,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +63,Federal-gov,160473,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Private,150999,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +41,Private,230961,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +71,Private,169114,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Male,0,1429,40,United-States,<=50K +39,Private,301070,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K +23,Private,163687,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,180419,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,114828,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,4,United-States,<=50K +44,Private,208606,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +19,Private,165977,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +28,Private,110408,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,266047,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +52,Private,176124,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +27,Private,144063,10th,6,Never-married,Craft-repair,Unmarried,White,Male,0,0,75,United-States,<=50K +29,Self-emp-inc,446724,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +59,Private,357118,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Self-emp-not-inc,102388,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K +27,Private,191515,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +31,Private,94413,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,3325,0,40,United-States,<=50K +42,Federal-gov,32627,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,45,United-States,>50K +37,Private,218249,11th,7,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +38,Private,308798,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,199005,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +29,State-gov,108432,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,149218,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +26,Private,552529,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,United-States,<=50K +43,Private,222596,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Poland,>50K +31,Private,168961,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +37,Private,206951,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,386236,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,Mexico,<=50K +20,Private,196388,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,25,United-States,<=50K +32,Private,162675,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,Cuba,<=50K +38,Private,187847,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +39,Private,186934,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K +75,?,27663,7th-8th,4,Separated,?,Not-in-family,White,Male,0,0,50,United-States,<=50K +27,Private,180271,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,<=50K +35,Private,215503,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,Canada,<=50K +40,Private,110862,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +28,Private,197905,Some-college,10,Widowed,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K +25,Private,355124,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,2001,40,Mexico,<=50K +29,Self-emp-not-inc,109621,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,194995,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,137136,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,55,United-States,<=50K +47,Private,67229,11th,7,Divorced,Transport-moving,Not-in-family,Black,Female,0,0,40,United-States,<=50K +44,Private,197033,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +27,Local-gov,187746,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,3325,0,25,United-States,<=50K +40,Private,98211,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +25,Private,54298,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +48,Self-emp-not-inc,49275,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1485,50,United-States,<=50K +22,Private,237386,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +40,Private,67243,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,168191,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,2,Italy,<=50K +25,Private,132327,Some-college,10,Separated,Adm-clerical,Other-relative,Other,Female,0,0,40,Ecuador,<=50K +17,Private,175109,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +61,State-gov,224638,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,128487,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +30,Private,179747,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +46,Private,195416,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,44,United-States,>50K +37,Private,176949,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +31,Private,114691,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K +27,State-gov,122540,Some-college,10,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +36,Private,93461,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,30,United-States,<=50K +45,Private,54098,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +22,Private,333838,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,174789,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +70,Private,227515,10th,6,Widowed,Transport-moving,Unmarried,White,Female,0,0,40,Greece,<=50K +45,Federal-gov,391585,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,50,United-States,>50K +23,Private,83315,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,10,United-States,<=50K +22,Private,213310,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +47,Private,127303,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,255476,5th-6th,3,Never-married,Other-service,Other-relative,White,Male,0,0,35,Mexico,<=50K +40,Private,320451,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K +33,Private,454717,Some-college,10,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,374474,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +19,Private,78401,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +58,Private,168887,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +55,Private,254711,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,>50K +23,Private,196678,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +53,Private,217201,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,45,United-States,>50K +24,Private,160398,12th,8,Never-married,Farming-fishing,Own-child,White,Male,0,0,30,United-States,<=50K +43,Private,288829,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,42,United-States,>50K +20,Private,185706,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +22,Private,201615,Assoc-acdm,12,Never-married,Adm-clerical,Other-relative,White,Female,0,0,37,United-States,<=50K +48,Private,157092,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +45,Private,130561,11th,7,Never-married,Sales,Not-in-family,Black,Female,0,0,35,United-States,<=50K +33,Private,202450,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,303942,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Local-gov,339346,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,10520,0,60,United-States,>50K +21,?,234838,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +42,Private,38389,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +35,Private,147548,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +62,Self-emp-not-inc,116626,Doctorate,16,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +46,Local-gov,110110,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,65,United-States,>50K +44,Private,230478,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K +28,Private,398220,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +38,Self-emp-not-inc,187346,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +59,Self-emp-not-inc,175827,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,211494,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,1980,55,United-States,<=50K +59,Private,105745,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +55,Private,237428,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,1504,40,United-States,<=50K +40,Private,200766,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,14344,0,40,United-States,>50K +22,State-gov,24896,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K +35,Private,107164,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +42,Private,202083,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Canada,<=50K +45,State-gov,53768,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,70,United-States,<=50K +48,Private,159577,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +76,?,209674,7th-8th,4,Divorced,?,Not-in-family,White,Female,0,0,7,United-States,<=50K +21,Private,309348,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,18,United-States,<=50K +31,Private,206046,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +65,Self-emp-not-inc,227531,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +46,Self-emp-not-inc,135339,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,45,India,>50K +18,Private,155503,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +65,Self-emp-not-inc,176835,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,7978,0,40,United-States,<=50K +18,Private,163067,Some-college,10,Never-married,Protective-serv,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,212607,Some-college,10,Never-married,Adm-clerical,Unmarried,Other,Female,0,0,44,Puerto-Rico,<=50K +53,Self-emp-inc,162381,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K +34,Private,195890,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +33,Federal-gov,49358,10th,6,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +28,Private,136077,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Poland,<=50K +43,Private,119297,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,48947,Assoc-voc,11,Widowed,Other-service,Unmarried,White,Female,0,0,13,United-States,<=50K +49,Self-emp-not-inc,32825,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K +21,State-gov,82847,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K +61,Private,119684,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +54,Private,264143,9th,5,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,24,United-States,<=50K +45,Private,30690,7th-8th,4,Never-married,Other-service,Not-in-family,White,Male,0,0,10,United-States,<=50K +24,Private,113631,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,366889,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,393962,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +48,Private,165484,Bachelors,13,Separated,Sales,Not-in-family,White,Male,0,0,65,United-States,>50K +40,Federal-gov,90737,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1887,40,United-States,>50K +34,Private,379798,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +29,Private,190911,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,72887,11th,7,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +65,Private,192309,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K +58,Self-emp-not-inc,98361,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,121253,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Female,0,0,29,United-States,<=50K +56,State-gov,270859,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,48,United-States,>50K +26,Self-emp-not-inc,223705,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,Columbia,<=50K +45,Private,125892,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K +37,Self-emp-not-inc,202683,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +58,?,99131,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,7298,0,40,United-States,>50K +56,Private,197577,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Without-pay,43627,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K +37,Private,175185,Assoc-voc,11,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,377405,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,20,United-States,<=50K +24,Private,47541,Masters,14,Never-married,Transport-moving,Not-in-family,White,Male,0,0,25,United-States,<=50K +36,Private,218729,Some-college,10,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,30,United-States,>50K +26,Local-gov,197430,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +57,Private,259010,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,84,United-States,<=50K +49,Private,121124,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +21,?,334593,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,374764,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +59,Private,192845,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +36,Private,144524,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Self-emp-inc,136402,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,255847,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K +29,Private,177955,9th,5,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,24,El-Salvador,<=50K +35,Private,151835,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K +18,Private,65098,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +27,Self-emp-not-inc,328119,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,Mexico,<=50K +55,Private,125147,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +52,Private,62834,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,20,United-States,>50K +51,State-gov,230095,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K +41,Federal-gov,348059,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K +34,Private,425622,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +25,Local-gov,336320,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,225809,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +80,Private,216073,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,32,United-States,<=50K +27,Private,267912,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,52,Mexico,<=50K +28,Private,108706,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K +43,Private,575172,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,32,United-States,>50K +18,Private,311489,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,26,United-States,<=50K +46,Private,189123,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,United-States,>50K +42,Private,95998,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +50,Self-emp-inc,177487,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K +30,Private,213002,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,14,United-States,<=50K +55,Private,272723,7th-8th,4,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +58,Private,84231,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +41,Private,475322,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,1617,35,United-States,<=50K +25,Private,120268,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,1741,40,United-States,<=50K +22,?,60331,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K +59,Private,172618,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,56,United-States,<=50K +36,State-gov,173273,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +25,Private,52921,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +19,Private,210364,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +34,Private,87310,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,2174,0,40,United-States,<=50K +51,Private,332489,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,Germany,>50K +31,Private,100333,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,36,United-States,<=50K +21,Private,216867,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +36,?,177974,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,292110,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +39,Federal-gov,219137,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,159589,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2051,40,United-States,<=50K +38,Private,186815,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,43,United-States,<=50K +21,Private,22149,HS-grad,9,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K +22,Private,228724,Assoc-voc,11,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,State-gov,187392,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,105930,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +53,State-gov,182907,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +68,Private,322025,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,5,United-States,<=50K +21,Private,263886,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,20,United-States,<=50K +34,Local-gov,362775,10th,6,Married-civ-spouse,Other-service,Wife,Amer-Indian-Eskimo,Female,0,0,30,United-States,<=50K +53,Private,96062,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +59,?,191665,Some-college,10,Widowed,?,Not-in-family,White,Female,0,2205,40,United-States,<=50K +32,Self-emp-not-inc,159322,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,1980,80,United-States,<=50K +33,Local-gov,163867,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,8,United-States,<=50K +34,Self-emp-not-inc,136204,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,32,United-States,>50K +61,Private,160431,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +46,Private,163324,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +32,?,161309,Prof-school,15,Married-civ-spouse,?,Wife,White,Female,15024,0,50,United-States,>50K +26,Private,208881,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K +37,Self-emp-not-inc,183127,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +41,Private,192225,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +59,Local-gov,222081,Bachelors,13,Never-married,Prof-specialty,Other-relative,Black,Female,0,0,35,United-States,<=50K +28,Private,183627,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,187921,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,<=50K +25,Private,25497,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,4101,0,40,United-States,<=50K +45,Private,353824,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +30,Private,250804,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +61,Private,385583,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Private,84788,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,127704,7th-8th,4,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,?,99208,Preschool,1,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K +45,Private,347993,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,Mexico,<=50K +48,Private,175958,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +36,Self-emp-not-inc,278553,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Black,Male,15024,0,75,United-States,>50K +49,Private,186009,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,43,United-States,<=50K +31,Private,55104,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +65,Local-gov,179411,HS-grad,9,Widowed,Tech-support,Unmarried,White,Female,0,0,35,United-States,<=50K +56,Private,68452,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +38,Local-gov,202027,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +70,Private,113401,10th,6,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,186934,Bachelors,13,Married-civ-spouse,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,>50K +43,Federal-gov,190020,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +28,Private,198493,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,256448,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,15,United-States,<=50K +30,Private,622192,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,6,United-States,<=50K +77,Private,133728,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,181824,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,20,United-States,<=50K +17,Private,286422,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +59,Private,378585,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K +44,Private,121012,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,45,United-States,<=50K +33,Private,164864,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,323,40,United-States,<=50K +17,Private,74706,11th,7,Never-married,Priv-house-serv,Own-child,White,Male,0,0,20,United-States,<=50K +22,Private,185582,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,>50K +43,Private,132633,Some-college,10,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,?,<=50K +42,Federal-gov,230438,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1887,40,United-States,>50K +26,Private,175540,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Local-gov,115304,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,340269,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,45,United-States,<=50K +33,Private,171889,12th,8,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +52,Private,94873,HS-grad,9,Widowed,Other-service,Unmarried,White,Male,0,0,19,United-States,<=50K +34,?,144194,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K +44,Private,141131,12th,8,Divorced,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Female,0,0,40,South,<=50K +25,Private,192735,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,70,United-States,<=50K +33,Self-emp-not-inc,238186,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,98,United-States,<=50K +23,Private,305609,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,52,United-States,<=50K +29,Private,312845,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +21,Private,33884,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,?,264874,Assoc-voc,11,Never-married,?,Other-relative,White,Female,0,0,40,?,<=50K +31,State-gov,268832,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K +42,Private,99651,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +39,Private,257597,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,42,United-States,<=50K +54,Self-emp-inc,195904,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,266497,9th,5,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K +63,Private,287972,Bachelors,13,Widowed,Other-service,Other-relative,Black,Female,0,0,20,United-States,<=50K +46,Private,200569,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +62,Local-gov,117292,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,8614,0,45,United-States,>50K +64,?,223075,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,8,United-States,<=50K +54,Private,175339,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +22,Self-emp-inc,333197,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,2205,45,United-States,<=50K +61,Private,53707,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +73,Private,39212,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +52,Private,228500,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,234663,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,60,United-States,<=50K +52,?,88073,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,420040,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,126517,Some-college,10,Separated,Sales,Unmarried,Black,Female,0,0,20,United-States,<=50K +31,Private,238002,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,Mexico,<=50K +53,State-gov,21412,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,147804,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +19,Private,222445,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +36,Private,126675,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +42,Private,301080,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Private,382532,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +33,Private,232356,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +26,Private,167350,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3137,0,50,United-States,<=50K +28,?,375703,HS-grad,9,Divorced,?,Other-relative,Black,Female,0,1721,40,United-States,<=50K +33,Private,252708,12th,8,Never-married,Sales,Other-relative,White,Female,0,0,40,Mexico,<=50K +33,Private,186824,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,176101,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,175121,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +17,Private,355850,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,1602,15,United-States,<=50K +45,Private,180931,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +45,State-gov,30219,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +41,Federal-gov,350387,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,India,>50K +24,Private,194247,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,137653,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +48,Private,131762,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +31,Self-emp-not-inc,283587,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +33,Self-emp-inc,218164,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,55,United-States,>50K +41,Private,287581,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,45,United-States,>50K +41,Private,281725,5th-6th,3,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Mexico,<=50K +63,Private,50120,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1573,25,United-States,<=50K +39,Private,156667,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,18,United-States,<=50K +28,Private,566066,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,45,United-States,<=50K +42,Private,121352,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,?,>50K +18,Private,260977,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +22,Private,90860,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +42,Private,218302,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +47,Private,170142,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +33,Local-gov,171889,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Female,0,0,43,United-States,<=50K +34,Private,193172,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +18,Private,164134,HS-grad,9,Never-married,Tech-support,Own-child,White,Female,0,0,10,United-States,<=50K +66,Private,204283,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +51,?,81169,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,38,United-States,<=50K +39,Private,92143,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,55,United-States,>50K +35,Private,181099,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +56,State-gov,102791,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +46,Local-gov,364548,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,42,United-States,>50K +21,Self-emp-inc,153516,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +58,Self-emp-not-inc,189528,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,84,United-States,<=50K +66,Local-gov,154171,Some-college,10,Widowed,Machine-op-inspct,Not-in-family,White,Male,0,0,20,United-States,<=50K +25,Private,90752,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +57,Private,278763,Assoc-voc,11,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,47,United-States,<=50K +28,Private,253581,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,59660,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +57,Self-emp-not-inc,170988,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +18,?,160984,11th,7,Never-married,?,Own-child,White,Female,0,0,6,United-States,<=50K +24,Private,493732,1st-4th,2,Never-married,Farming-fishing,Own-child,White,Female,0,0,40,Mexico,<=50K +36,Private,325802,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,196344,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Guatemala,<=50K +32,State-gov,316589,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +35,Self-emp-inc,365739,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,309990,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Private,241852,12th,8,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +41,Private,184105,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +50,Private,134680,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,274545,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +36,Private,207853,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,65,United-States,>50K +25,Private,284061,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K +62,Private,186446,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,43,United-States,<=50K +22,Private,255575,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +52,Federal-gov,302661,Assoc-acdm,12,Widowed,Exec-managerial,Unmarried,White,Male,13550,0,40,United-States,>50K +52,Private,148509,10th,6,Married-spouse-absent,Prof-specialty,Other-relative,Asian-Pac-Islander,Male,0,0,45,?,<=50K +48,Private,211239,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,60,United-States,>50K +70,Private,50468,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,3175,15,United-States,<=50K +41,Private,316820,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K +21,Private,145964,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,60,United-States,>50K +39,Private,185084,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K +29,Private,183111,Assoc-voc,11,Never-married,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K +28,Private,63042,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K +31,Private,339738,HS-grad,9,Married-civ-spouse,Transport-moving,Other-relative,Black,Male,0,0,40,United-States,<=50K +23,Private,273049,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K +54,State-gov,239256,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +73,Self-emp-not-inc,110102,HS-grad,9,Widowed,Farming-fishing,Not-in-family,White,Male,0,1668,77,United-States,<=50K +29,State-gov,165764,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,35,United-States,<=50K +22,Private,152744,Some-college,10,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,10,United-States,<=50K +57,Local-gov,212303,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +41,Self-emp-not-inc,118544,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K +39,Private,269548,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,70,Mexico,<=50K +25,State-gov,319303,Some-college,10,Divorced,Other-service,Unmarried,White,Male,0,2472,40,United-States,>50K +74,Without-pay,216001,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K +45,Private,205816,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K +18,Private,427437,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K +24,Private,198259,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +45,Private,54314,9th,5,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K +32,Private,195744,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Local-gov,294547,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,48,United-States,<=50K +50,Private,77521,11th,7,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,288158,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,125010,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,45,United-States,<=50K +32,Private,80945,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Nicaragua,>50K +21,Private,33016,10th,6,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,25,United-States,<=50K +42,Private,388725,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +37,Local-gov,347136,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,44,United-States,<=50K +53,Self-emp-inc,158294,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,99999,0,75,United-States,>50K +34,Private,362787,10th,6,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K +29,Private,39388,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +55,Private,322691,Masters,14,Widowed,Exec-managerial,Own-child,White,Male,0,0,62,United-States,>50K +29,Private,31659,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,2202,0,45,United-States,<=50K +70,Private,176940,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,16,United-States,<=50K +26,Local-gov,189027,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,98719,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +58,Private,172238,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +23,?,170456,Some-college,10,Never-married,?,Own-child,White,Male,0,0,5,United-States,<=50K +27,Private,129009,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +17,Private,247580,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,18,United-States,<=50K +29,Private,204516,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,52,United-States,<=50K +26,Private,192652,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,20,United-States,<=50K +31,Private,336543,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,45,United-States,>50K +29,?,143938,HS-grad,9,Separated,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +22,Private,272591,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,30,United-States,<=50K +28,Local-gov,312372,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K +28,Local-gov,172270,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +20,Private,342414,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,24,United-States,<=50K +58,Private,123886,HS-grad,9,Never-married,Sales,Other-relative,Black,Female,0,0,40,United-States,<=50K +23,Private,398130,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,96,United-States,<=50K +34,Private,142989,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,331539,HS-grad,9,Never-married,Craft-repair,Not-in-family,Other,Male,0,0,40,United-States,<=50K +19,Private,225156,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +18,?,311863,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +35,Local-gov,170682,11th,7,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,32,United-States,<=50K +21,Private,96178,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +20,?,37932,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +49,Private,198126,7th-8th,4,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,344275,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,?,>50K +37,Private,112497,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +36,Private,178487,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,1669,40,United-States,<=50K +44,Private,55395,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +39,Local-gov,131239,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,104772,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3908,0,40,United-States,<=50K +53,Private,427320,Bachelors,13,Divorced,Other-service,Not-in-family,Black,Male,3325,0,40,United-States,<=50K +34,?,73296,11th,7,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +24,Private,216853,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,37,United-States,<=50K +40,Private,259757,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +47,Private,200734,HS-grad,9,Separated,Priv-house-serv,Not-in-family,Black,Female,0,0,50,Nicaragua,<=50K +19,?,87515,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,44,Germany,<=50K +18,Private,161245,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,8,United-States,<=50K +32,Private,262024,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,38,United-States,<=50K +21,Private,287681,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Mexico,<=50K +27,Private,303601,12th,8,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +58,?,365410,Some-college,10,Separated,?,Other-relative,White,Female,0,0,99,United-States,<=50K +29,Self-emp-not-inc,394356,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,263150,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K +45,State-gov,86618,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +43,Private,120277,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,45,United-States,<=50K +63,Federal-gov,90393,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,<=50K +26,Self-emp-inc,79078,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +42,State-gov,197344,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,120998,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K +36,Private,37522,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +44,Private,96321,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +18,Private,217302,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +69,Private,137109,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,16,United-States,<=50K +40,Private,227823,Assoc-acdm,12,Divorced,Adm-clerical,Own-child,White,Female,0,0,70,United-States,<=50K +37,Private,22149,HS-grad,9,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Male,0,0,18,United-States,<=50K +39,Private,176900,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +57,Private,154368,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +28,Private,183445,HS-grad,9,Separated,Priv-house-serv,Own-child,White,Female,0,0,40,Guatemala,<=50K +23,Private,193537,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K +20,Private,313873,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K +46,Private,34186,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +44,State-gov,271807,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,16,United-States,<=50K +67,?,46449,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K +31,Private,128065,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,176486,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +54,Private,191072,Bachelors,13,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,35,United-States,<=50K +28,Private,34452,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +30,State-gov,123253,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +42,Private,113461,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,Private,116267,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,15,Columbia,<=50K +32,Private,30433,Bachelors,13,Never-married,Tech-support,Other-relative,White,Female,0,0,72,United-States,<=50K +25,Private,198512,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Self-emp-inc,131826,Prof-school,15,Widowed,Prof-specialty,Unmarried,White,Male,99999,0,50,United-States,>50K +35,Private,129764,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +32,Private,49398,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,10520,0,40,United-States,>50K +17,Local-gov,292285,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,25,United-States,<=50K +61,Federal-gov,91726,Masters,14,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K +56,Private,178282,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +50,Private,227458,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Male,0,0,51,United-States,<=50K +32,Private,183470,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,42,United-States,<=50K +41,Private,275446,Some-college,10,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +41,Private,328013,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,65,United-States,<=50K +19,Private,382688,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,20,United-States,<=50K +18,Private,122988,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +25,Private,175537,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +21,Private,256278,HS-grad,9,Never-married,Other-service,Other-relative,Other,Female,0,0,35,El-Salvador,<=50K +34,Private,161153,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +31,Private,48189,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K +36,Private,186531,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +19,Private,96866,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,30,United-States,<=50K +35,Private,117555,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +18,?,98549,HS-grad,9,Never-married,?,Own-child,White,Female,0,1602,35,United-States,<=50K +39,Private,101782,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,234753,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,34,United-States,>50K +59,Private,59469,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +28,Private,614113,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,30,United-States,<=50K +47,Private,203505,Doctorate,16,Never-married,Prof-specialty,Own-child,White,Female,0,0,23,United-States,<=50K +27,Private,128365,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +56,Private,36990,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,52,United-States,>50K +18,Private,303240,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +76,?,217043,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K +56,Private,176079,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,15024,0,24,United-States,>50K +40,Self-emp-inc,266047,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,>50K +39,Self-emp-inc,285890,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,Haiti,>50K +24,Private,70261,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,214236,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,143385,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +55,Private,150507,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,292264,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +39,Self-emp-inc,110861,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +32,Private,225064,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,154120,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Trinadad&Tobago,<=50K +17,Private,34465,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,32,United-States,<=50K +29,Private,89598,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,2057,35,United-States,<=50K +54,Private,183668,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,189382,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,1504,40,United-States,<=50K +67,?,165103,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,2174,50,United-States,>50K +48,Private,44216,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +17,Private,150471,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +41,Private,32627,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,153109,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,60,United-States,<=50K +29,Private,352451,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +43,Private,176716,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K +46,Federal-gov,171850,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K +42,Private,260496,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +36,Private,154410,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K +31,Self-emp-not-inc,23500,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,75,United-States,<=50K +60,Private,178312,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,1902,70,United-States,>50K +50,Private,62593,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +30,Private,123291,Some-college,10,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,313817,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +57,State-gov,229270,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Other,Male,0,1579,37,United-States,<=50K +43,Private,212027,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,38,United-States,<=50K +58,Private,259532,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K +26,Local-gov,213258,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,316337,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +38,Private,179123,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +26,Private,191765,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Scotland,<=50K +59,Self-emp-inc,188877,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +41,Private,55395,Some-college,10,Married-spouse-absent,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +21,Private,161051,Some-college,10,Never-married,Tech-support,Own-child,Black,Female,0,0,4,United-States,<=50K +30,Private,241844,HS-grad,9,Separated,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +36,Private,232142,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,80,United-States,<=50K +43,Private,311534,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K +68,Self-emp-not-inc,128986,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +18,Private,67019,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +23,Private,208826,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K +43,Private,256813,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +44,Private,160919,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +43,Private,107584,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +59,Self-emp-inc,159472,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,408318,7th-8th,4,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,25,Mexico,<=50K +61,Private,194956,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +52,State-gov,21764,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +37,Private,277347,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +57,Private,104455,Some-college,10,Married-spouse-absent,Sales,Own-child,Asian-Pac-Islander,Female,0,0,90,United-States,>50K +30,Private,117584,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,20,United-States,<=50K +38,Private,131288,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +46,Private,99014,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +22,Private,141003,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +64,Private,344014,Some-college,10,Divorced,Tech-support,Unmarried,Black,Female,0,1741,40,United-States,<=50K +45,Private,175600,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +31,Local-gov,240504,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,1902,50,United-States,>50K +20,Private,174436,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K +29,Private,194869,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K +23,Private,164901,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,20,United-States,<=50K +62,Private,72886,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-inc,130126,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +42,Self-emp-inc,196514,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,103651,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +25,Private,261419,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K +61,Private,206339,10th,6,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,445365,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,227466,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,<=50K +49,Private,96854,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +21,Private,163595,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +22,State-gov,181096,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Male,0,0,20,United-States,<=50K +24,Private,95984,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K +37,Private,472517,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,4,United-States,<=50K +46,Local-gov,60751,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +35,Private,107302,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +41,Private,106501,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +23,Private,32732,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Self-emp-inc,174789,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +39,Private,301628,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +29,Private,27436,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +24,Private,93977,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,139127,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,258231,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Self-emp-not-inc,136309,11th,7,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +50,Private,266433,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +59,Private,140363,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K +58,Private,179715,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,47,United-States,>50K +55,Private,204816,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +58,Private,35520,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,7688,0,40,United-States,>50K +46,Private,101320,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,42,United-States,>50K +40,Private,210857,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K +40,Self-emp-not-inc,60949,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +57,Local-gov,139095,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +46,Private,233493,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1579,40,United-States,<=50K +36,Private,176249,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1590,40,United-States,<=50K +29,Private,187746,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +32,Private,49593,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +24,Self-emp-not-inc,240160,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +63,Private,76286,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,40,India,>50K +23,Private,65225,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +36,Private,225330,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,101562,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,>50K +52,Self-emp-not-inc,27539,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,7688,0,72,United-States,>50K +60,Local-gov,227311,10th,6,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +29,?,51260,HS-grad,9,Never-married,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K +31,Private,256609,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K +35,Local-gov,123939,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Federal-gov,203182,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,2174,0,40,United-States,<=50K +38,Private,111128,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,112451,HS-grad,9,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +44,?,177461,Some-college,10,Divorced,?,Unmarried,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K +24,Private,332155,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,20,United-States,<=50K +42,Local-gov,178983,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,37,United-States,<=50K +54,Private,199392,5th-6th,3,Divorced,Machine-op-inspct,Other-relative,White,Female,0,0,40,Nicaragua,<=50K +19,Private,311015,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,126038,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +21,Private,402124,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,198660,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +26,?,228457,11th,7,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Self-emp-inc,223267,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,78,United-States,<=50K +22,Self-emp-not-inc,249046,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +45,Self-emp-not-inc,127948,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,154785,Some-college,10,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,China,<=50K +28,Private,248404,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +31,Private,137978,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,144778,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +30,Private,133250,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +28,Private,402771,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,23,United-States,<=50K +47,?,97075,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +21,Private,116234,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,44,United-States,<=50K +25,Local-gov,262818,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,Guatemala,<=50K +47,Private,138342,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +50,Private,123374,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +23,Private,202373,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,20,United-States,<=50K +54,Self-emp-not-inc,180522,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K +24,Local-gov,140647,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,36,United-States,<=50K +50,Private,136898,Assoc-voc,11,Widowed,Exec-managerial,Unmarried,White,Female,0,0,55,?,<=50K +29,Private,140927,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,114055,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,White,Female,3325,0,40,United-States,<=50K +46,Private,114222,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Self-emp-inc,51089,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +46,Private,37353,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +36,Local-gov,379672,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,60,United-States,<=50K +64,Private,130727,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,2174,0,37,United-States,<=50K +51,Private,172046,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +57,Private,228764,Assoc-voc,11,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +21,Private,376393,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +53,Private,185283,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +61,Self-emp-not-inc,195789,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K +50,Private,243115,HS-grad,9,Married-spouse-absent,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +74,Private,147558,Some-college,10,Divorced,Sales,Not-in-family,White,Female,7262,0,30,United-States,>50K +22,State-gov,62865,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K +25,Self-emp-not-inc,275197,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +63,Self-emp-not-inc,124015,Masters,14,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +38,Self-emp-inc,282951,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,105253,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +31,Private,119164,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Male,0,0,40,?,<=50K +35,Self-emp-not-inc,263081,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,84,United-States,<=50K +54,Private,96062,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,44942,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1848,48,United-States,>50K +37,Federal-gov,127879,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K +37,Private,109633,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,109404,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +56,Private,126677,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,40,United-States,>50K +52,Private,101113,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,66,United-States,>50K +40,Private,117523,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,Columbia,<=50K +29,Private,183523,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K +46,Self-emp-not-inc,311231,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,459556,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,50,United-States,<=50K +37,Private,95551,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +36,Private,126675,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +32,Private,200246,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +53,Private,108435,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,Italy,<=50K +18,Private,141332,11th,7,Never-married,Sales,Own-child,Black,Male,0,0,8,United-States,<=50K +48,Private,117310,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K +26,Private,182380,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +64,?,226878,Masters,14,Married-civ-spouse,?,Wife,Black,Female,9386,0,50,Jamaica,>50K +49,Private,123807,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +41,Private,109539,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Local-gov,38455,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,10,United-States,<=50K +56,Private,294209,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,<=50K +33,Private,130215,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,35,?,<=50K +29,Private,285294,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +29,Private,168221,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,288907,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,4787,0,40,United-States,>50K +26,Private,391349,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +32,Private,170276,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,46,United-States,>50K +33,Private,117963,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,55,United-States,<=50K +54,Local-gov,68015,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +20,?,285208,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +33,Private,181091,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,16,United-States,<=50K +44,Self-emp-not-inc,53956,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,57,United-States,<=50K +47,Federal-gov,198223,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +90,Self-emp-not-inc,83601,Prof-school,15,Widowed,Prof-specialty,Not-in-family,White,Male,1086,0,60,United-States,<=50K +26,Self-emp-not-inc,201579,5th-6th,3,Never-married,Prof-specialty,Unmarried,White,Male,0,0,14,Mexico,<=50K +44,Private,137367,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Thailand,<=50K +33,Private,227325,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Male,0,0,60,Scotland,<=50K +28,Private,129814,Some-college,10,Separated,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K +26,Private,193050,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,18,United-States,<=50K +33,Private,204557,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,165743,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +34,Self-emp-not-inc,48935,Some-college,10,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,30,United-States,<=50K +70,Private,177906,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,6514,0,40,United-States,>50K +18,Private,93985,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +20,Private,148351,7th-8th,4,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,?,<=50K +65,Local-gov,172646,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,145409,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +48,Private,548568,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +47,Private,117849,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,320425,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K +25,Private,158734,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +59,Private,168416,HS-grad,9,Married-spouse-absent,Priv-house-serv,Not-in-family,White,Female,0,0,36,Poland,<=50K +63,Self-emp-not-inc,33487,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,>50K +34,Private,205072,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +44,Private,210525,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,32948,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +48,Self-emp-inc,196689,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +61,Private,87032,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Self-emp-inc,325159,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,52131,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,266439,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,15,United-States,<=50K +22,Private,61850,Masters,14,Never-married,Sales,Other-relative,White,Female,0,0,21,United-States,<=50K +19,Private,163015,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,20,United-States,<=50K +25,Private,225135,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Self-emp-inc,109001,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,60,United-States,<=50K +33,Private,45796,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +29,Private,214987,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,2174,0,40,United-States,<=50K +19,Private,311974,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Mexico,<=50K +48,Private,77404,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +43,Private,153132,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +42,Self-emp-not-inc,64631,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +63,Private,151364,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,25,United-States,<=50K +25,Private,87487,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,50,United-States,<=50K +41,Self-emp-not-inc,200479,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K +66,Private,30740,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,15,United-States,<=50K +59,Private,153484,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +29,Local-gov,214385,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,35,United-States,<=50K +29,?,565769,Preschool,1,Never-married,?,Not-in-family,Black,Male,0,0,40,South,<=50K +44,Self-emp-not-inc,92162,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,210945,11th,7,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +41,Private,63105,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,>50K +44,Private,185602,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Self-emp-inc,329980,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +70,Local-gov,111712,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,22,United-States,<=50K +25,Local-gov,48317,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +42,Private,84661,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K +47,Private,121622,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +21,Private,37514,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +72,Private,174993,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +56,Private,159472,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +52,Local-gov,195635,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,108282,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +63,Private,55946,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,123306,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,284250,Some-college,10,Married-civ-spouse,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +60,Private,113443,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +23,Private,309178,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,69236,Some-college,10,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K +34,Local-gov,182926,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,126675,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +39,Private,187693,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +56,Private,41100,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +53,State-gov,261839,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,97197,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +29,Private,260645,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +56,Private,116878,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Portugal,>50K +49,?,227690,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,199411,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +25,Private,194813,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +47,Private,177087,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,2444,50,United-States,>50K +44,Self-emp-not-inc,242434,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,27828,0,60,United-States,>50K +27,Private,399123,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,1719,40,United-States,<=50K +47,Private,216999,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +47,Private,47270,12th,8,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +42,Federal-gov,122215,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +26,Private,37898,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K +38,Private,61343,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,32533,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,United-States,<=50K +30,Private,296897,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +29,Private,201101,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +41,Private,155293,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +40,Private,101593,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,State-gov,104908,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +54,Self-emp-not-inc,139023,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,429832,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +32,Private,352542,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +64,Private,29559,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,38,United-States,<=50K +61,Local-gov,205711,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,>50K +49,Private,160706,11th,7,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K +59,Federal-gov,101626,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +29,Private,245226,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,40,United-States,<=50K +39,Private,118286,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,<=50K +22,Private,187703,Assoc-voc,11,Never-married,Other-service,Other-relative,White,Male,0,0,40,Guatemala,<=50K +49,Private,289707,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,<=50K +32,Private,68330,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,40,United-States,<=50K +33,Private,118786,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1590,40,United-States,<=50K +45,Private,203785,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,32732,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K +54,Local-gov,204567,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Self-emp-not-inc,131808,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,80,United-States,>50K +22,Private,33272,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K +55,Private,117477,11th,7,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,40,Jamaica,<=50K +36,Self-emp-not-inc,240191,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,41310,0,90,South,<=50K +38,Private,93287,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,127651,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +57,Private,222477,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,8,United-States,>50K +23,Private,345734,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,111567,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +38,Private,108293,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K +34,Private,424988,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +38,Local-gov,94529,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,3103,0,50,United-States,>50K +42,Private,163322,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +52,Local-gov,181132,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1887,40,United-States,>50K +32,Private,140092,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +29,Private,131913,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K +74,Private,175945,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,28,United-States,<=50K +48,Private,247053,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +17,Self-emp-not-inc,226203,12th,8,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K +23,Private,205865,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2179,60,United-States,<=50K +22,Local-gov,200109,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K +53,Private,175029,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +20,Private,55465,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +39,Self-emp-not-inc,36989,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K +23,Private,255685,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,25,United-States,<=50K +30,Private,180765,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K +34,Self-emp-not-inc,180607,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K +39,Private,48063,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,32,United-States,<=50K +37,State-gov,159491,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +28,Private,167789,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K +23,Private,124971,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,State-gov,61710,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K +32,Private,127895,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +23,Private,390348,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,44,Japan,<=50K +25,Private,205337,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +52,Private,260954,10th,6,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +30,?,331237,HS-grad,9,Separated,?,Own-child,Black,Female,0,0,20,United-States,<=50K +22,Private,177526,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,2907,0,30,United-States,<=50K +27,Private,113882,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,4508,0,40,United-States,<=50K +32,Private,29144,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K +39,Local-gov,124685,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,<=50K +18,Private,88440,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,36,United-States,<=50K +28,Private,265074,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Local-gov,306985,Masters,14,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,2415,50,United-States,>50K +72,Private,181494,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +76,Private,138403,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K +35,Private,216473,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +36,Private,143123,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K +19,Private,132717,HS-grad,9,Married-civ-spouse,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +23,State-gov,389792,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,30,United-States,<=50K +36,Private,359001,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,260052,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,15020,0,40,United-States,>50K +20,Private,63633,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +64,Self-emp-not-inc,234192,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K +53,Local-gov,237523,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +33,Self-emp-not-inc,183778,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,205916,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Male,0,0,40,United-States,<=50K +31,Private,131633,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,33121,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K +38,Federal-gov,32899,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,152171,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K +46,Local-gov,127441,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +46,Private,23074,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,England,<=50K +42,Private,91585,Some-college,10,Widowed,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +18,Private,83451,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +23,Local-gov,219122,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +81,Private,176500,12th,8,Widowed,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +40,?,246862,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,0,8,United-States,<=50K +35,Private,38468,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,21,United-States,<=50K +24,?,35633,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,11,?,<=50K +19,Private,194608,9th,5,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +30,Private,269723,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +24,Private,165054,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +24,Private,127537,9th,5,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +24,Private,326931,9th,5,Never-married,Transport-moving,Unmarried,Other,Male,0,0,40,El-Salvador,<=50K +24,Private,307133,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,?,<=50K +37,Private,371576,Some-college,10,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +50,Private,160400,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,426350,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K +26,State-gov,121789,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +18,Private,218183,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +24,Private,91189,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,232190,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +38,Self-emp-not-inc,233033,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +66,Self-emp-inc,74263,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,86,United-States,>50K +33,Private,205950,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +25,Private,213383,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,345577,Some-college,10,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,26,United-States,<=50K +20,?,322144,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,158825,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,14344,0,40,United-States,>50K +64,Self-emp-inc,51286,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,6418,0,65,United-States,>50K +36,Private,82488,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +31,Federal-gov,40909,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,<=50K +23,Private,114939,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +61,Private,221534,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,149455,Some-college,10,Separated,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K +68,?,353524,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K +30,Private,328734,10th,6,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +21,Private,112906,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,44,United-States,<=50K +27,Private,155038,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +26,Private,100125,Assoc-acdm,12,Divorced,Transport-moving,Unmarried,White,Female,0,0,30,United-States,<=50K +26,State-gov,177048,Some-college,10,Married-civ-spouse,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K +43,Private,72338,Masters,14,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +20,Private,254547,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,35,Outlying-US(Guam-USVI-etc),<=50K +20,Local-gov,186213,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,38,United-States,<=50K +39,Private,270557,Masters,14,Divorced,Other-service,Not-in-family,White,Female,0,0,50,United-States,>50K +48,Private,41411,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +36,Private,116445,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +34,Self-emp-not-inc,247540,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,1974,30,United-States,<=50K +37,Private,358753,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K +37,Self-emp-not-inc,156897,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Male,0,1564,55,United-States,>50K +44,Self-emp-not-inc,360879,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1902,80,United-States,>50K +51,Private,256051,11th,7,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,1628,40,United-States,<=50K +34,Private,179877,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,266583,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,2829,0,38,United-States,<=50K +38,Private,187711,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,>50K +34,Local-gov,206707,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K +63,Local-gov,80655,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Federal-gov,409464,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +62,Private,235997,12th,8,Widowed,Adm-clerical,Unmarried,White,Female,0,0,37,Mexico,<=50K +20,Private,59948,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,18,United-States,<=50K +30,Private,323833,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +53,Private,290290,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,1590,50,United-States,<=50K +20,?,291746,12th,8,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +77,Private,189173,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +50,State-gov,392668,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +61,Private,132529,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,68080,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,?,>50K +17,Private,194717,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K +43,Private,307767,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +61,Private,90051,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,3456,0,44,Canada,<=50K +77,State-gov,267799,Doctorate,16,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,4,United-States,>50K +49,Private,81535,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,>50K +26,Self-emp-not-inc,334267,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Self-emp-not-inc,55912,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,172706,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,240467,Some-college,10,Separated,Transport-moving,Not-in-family,Black,Female,0,0,40,United-States,>50K +23,Private,186006,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,37,United-States,<=50K +38,Private,65738,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Self-emp-not-inc,192878,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +27,State-gov,413870,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Male,0,0,40,United-States,<=50K +45,Private,176341,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K +66,?,28367,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,117210,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,36,United-States,<=50K +21,?,231286,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,25,Jamaica,<=50K +42,Private,188465,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +31,Local-gov,253456,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +54,Private,140592,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,171335,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,State-gov,73928,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,15,United-States,<=50K +24,Private,161415,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,35,United-States,<=50K +24,Private,395297,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,30,Japan,<=50K +40,State-gov,385357,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,>50K +45,State-gov,160599,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,222450,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +61,?,38603,7th-8th,4,Divorced,?,Not-in-family,White,Male,0,0,20,United-States,<=50K +50,Private,178946,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +36,Private,106471,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +35,Private,341643,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,97952,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,?,<=50K +31,Private,111567,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1848,50,United-States,>50K +43,Local-gov,201764,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +30,Private,153549,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,48,United-States,<=50K +44,Local-gov,264016,Bachelors,13,Married-civ-spouse,Prof-specialty,Other-relative,Black,Female,0,0,40,United-States,<=50K +42,Private,194636,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +64,State-gov,184271,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +23,Local-gov,49296,Some-college,10,Married-spouse-absent,Prof-specialty,Own-child,Black,Male,0,0,40,United-States,<=50K +60,Private,96099,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,4101,0,60,United-States,<=50K +18,Self-emp-not-inc,304699,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,40,England,<=50K +24,Private,267181,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +40,Private,154076,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +17,Private,98209,11th,7,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K +33,Private,92003,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +43,Private,103759,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,269681,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Female,0,0,35,United-States,<=50K +25,Private,789600,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,152165,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,260560,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +40,Self-emp-inc,214781,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,65,United-States,>50K +64,Private,207188,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,246258,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,101563,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,7430,0,45,United-States,>50K +60,Private,69955,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,4064,0,40,United-States,<=50K +25,Private,124111,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,36,?,<=50K +38,Private,237091,Some-college,10,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,36,Peru,<=50K +26,Private,318644,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +19,Private,138917,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K +31,Private,97405,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,196674,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +25,Private,405281,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Private,186256,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,120277,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +33,Private,161035,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,49,United-States,<=50K +34,Private,176244,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Other-relative,White,Female,0,0,40,Mexico,<=50K +54,Private,32454,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +39,Private,346478,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +43,Private,196158,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +42,Federal-gov,208470,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,215616,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K +23,Private,275357,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +23,Self-emp-inc,304871,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +54,Private,99185,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K +23,Private,115085,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +58,Private,82050,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +46,Private,123681,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,193152,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +53,Private,309466,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +77,Local-gov,100883,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,8,Canada,<=50K +37,Private,32528,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +18,Private,245199,10th,6,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,72375,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K +34,Private,117963,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K +45,Private,160440,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +64,Federal-gov,113570,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K +58,?,191830,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,55,United-States,<=50K +24,Private,232328,9th,5,Divorced,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +37,Private,92028,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +48,Private,138342,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,55,United-States,>50K +42,Private,197810,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,102142,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,104223,Bachelors,13,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +34,Private,132835,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Self-emp-not-inc,109195,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +33,Private,203463,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Local-gov,33114,11th,7,Divorced,Handlers-cleaners,Unmarried,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K +27,Private,187450,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,104213,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,257849,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,50490,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,85508,12th,8,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K +54,Self-emp-not-inc,60449,Bachelors,13,Widowed,Sales,Unmarried,White,Male,0,0,60,United-States,<=50K +27,Local-gov,131310,Some-college,10,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +65,Self-emp-not-inc,158177,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,10605,0,44,United-States,>50K +65,Private,115922,11th,7,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,24,United-States,<=50K +21,Private,403471,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,48,United-States,<=50K +22,Private,176131,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K +32,Private,149531,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,262243,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K +32,Private,64658,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,127914,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +49,Self-emp-inc,182211,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +30,Private,48520,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,43,United-States,<=50K +20,Private,403118,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,11,United-States,<=50K +55,Private,119344,HS-grad,9,Married-civ-spouse,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +46,Self-emp-not-inc,334456,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,263110,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Self-emp-not-inc,279015,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K +58,Private,195878,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +34,Private,217652,12th,8,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +65,Federal-gov,44807,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,>50K +48,Private,129777,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +28,?,195568,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,15,?,>50K +44,Private,227466,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K +26,Private,228457,11th,7,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,247053,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,188669,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +45,Private,40666,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Italy,<=50K +57,?,190514,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +36,Local-gov,404661,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K +45,Self-emp-not-inc,39986,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1740,56,United-States,<=50K +43,Private,175133,Some-college,10,Divorced,Tech-support,Unmarried,Black,Female,0,0,35,United-States,<=50K +62,Private,101375,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,256680,Assoc-acdm,12,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K +46,State-gov,136878,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Private,106151,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,?,>50K +38,?,242221,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,38,United-States,<=50K +38,Private,101387,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,43,United-States,<=50K +51,Private,196828,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,38,United-States,>50K +20,?,195075,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +22,Private,333910,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,22,United-States,<=50K +46,Self-emp-not-inc,103540,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +67,Self-emp-not-inc,36876,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,158651,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K +24,Private,196943,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +41,Private,184583,Some-college,10,Divorced,Other-service,Unmarried,White,Male,0,0,59,United-States,<=50K +33,Private,244817,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,386726,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +56,Self-emp-inc,373593,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,Italy,>50K +27,Private,206199,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +32,Private,93283,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,?,103628,Bachelors,13,Married-spouse-absent,?,Not-in-family,White,Female,0,0,4,India,<=50K +21,Local-gov,391936,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,25,United-States,<=50K +31,Local-gov,168740,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K +42,Private,150568,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +19,Private,201178,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +63,Private,75813,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K +34,Local-gov,398988,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,18,United-States,<=50K +38,Private,158363,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,81961,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +34,Private,170017,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,348092,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,Haiti,<=50K +27,Private,54861,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,32,United-States,<=50K +63,Self-emp-not-inc,74991,HS-grad,9,Widowed,Farming-fishing,Unmarried,White,Male,0,0,60,United-States,<=50K +25,Private,106552,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +51,Private,27539,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +50,Private,268913,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Iran,<=50K +63,Private,199888,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +53,Private,288216,Some-college,10,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Self-emp-inc,378036,12th,8,Never-married,Farming-fishing,Own-child,White,Male,0,0,10,United-States,<=50K +41,Private,127314,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K +32,Private,115963,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +19,Private,332928,11th,7,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +41,Self-emp-not-inc,178510,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +29,Private,53147,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,37,United-States,<=50K +66,Private,115880,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3818,0,40,United-States,<=50K +57,Private,375502,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +49,Self-emp-not-inc,155659,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +36,Private,122240,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,112305,Assoc-voc,11,Never-married,Other-service,Unmarried,White,Female,0,0,10,United-States,<=50K +46,Federal-gov,35136,11th,7,Never-married,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K +27,Private,215423,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,16,United-States,<=50K +24,Private,116358,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,2339,40,Philippines,<=50K +17,Private,171461,10th,6,Never-married,Sales,Own-child,White,Female,0,0,14,United-States,<=50K +32,Private,131584,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +40,Self-emp-inc,29520,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,65,United-States,<=50K +35,Local-gov,246463,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +22,Private,32616,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +41,Private,144144,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,30,United-States,<=50K +75,?,222789,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,9,United-States,<=50K +22,Private,227594,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Local-gov,375606,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +46,Private,180532,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +50,State-gov,54342,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,208798,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Local-gov,377401,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +36,Self-emp-not-inc,110861,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +42,Private,144594,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +23,Private,129345,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K +28,Private,424340,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K +44,Private,187702,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +47,State-gov,293917,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +61,Private,160143,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K +50,Private,345450,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +54,State-gov,180881,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +18,Private,102690,11th,7,Never-married,Machine-op-inspct,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +46,Private,265371,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,167333,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +50,Self-emp-inc,447144,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +32,Private,280077,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +48,Private,143920,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,25,United-States,<=50K +40,Private,190507,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +34,Self-emp-not-inc,59469,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K +31,Private,74501,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +43,Self-emp-inc,215458,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,99999,0,45,United-States,>50K +33,Private,281685,Assoc-voc,11,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +62,Private,78273,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +44,Private,105475,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Puerto-Rico,<=50K +55,Private,174260,HS-grad,9,Widowed,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Self-emp-inc,149102,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,188331,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,15024,0,40,United-States,>50K +23,Private,864960,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +63,Private,154526,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,60783,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,186269,HS-grad,9,Never-married,Other-service,Own-child,White,Male,2907,0,35,United-States,<=50K +30,Private,398019,1st-4th,2,Separated,Priv-house-serv,Other-relative,White,Female,0,0,30,Mexico,<=50K +50,Federal-gov,237503,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,93762,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,59916,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,203264,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Self-emp-not-inc,299119,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +29,Federal-gov,114072,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,46,United-States,>50K +18,?,167875,Some-college,10,Never-married,?,Own-child,White,Female,0,0,16,United-States,<=50K +64,Private,130525,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +58,Private,71283,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,United-States,>50K +43,Local-gov,85440,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +27,Private,136077,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K +40,Private,222434,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,Canada,>50K +25,Private,138111,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,2174,0,40,United-States,<=50K +27,Private,225746,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Male,0,0,35,United-States,<=50K +54,Private,240358,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,Jamaica,<=50K +25,Private,139863,1st-4th,2,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Mexico,<=50K +39,Private,278632,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,71046,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +29,Private,312985,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2129,50,United-States,<=50K +49,Federal-gov,276309,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,?,199116,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2407,0,40,Dominican-Republic,<=50K +39,Private,52870,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K +51,State-gov,79324,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +50,Private,188882,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +39,Federal-gov,72338,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +23,?,234108,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,35,United-States,<=50K +24,Private,113936,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,55,United-States,<=50K +43,Private,182521,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,15020,0,35,United-States,>50K +60,Private,124198,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,4386,0,84,United-States,>50K +20,Private,228960,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +60,Self-emp-not-inc,176360,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +35,Private,178649,Bachelors,13,Divorced,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,36,Philippines,<=50K +41,Private,338740,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +31,Private,205659,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +59,Private,258883,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,196638,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,45,United-States,<=50K +43,Self-emp-not-inc,95246,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,5,United-States,>50K +20,?,216672,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +25,Private,61956,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,4650,0,45,United-States,<=50K +33,Private,157216,Masters,14,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +68,?,150250,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,1510,30,United-States,<=50K +37,Private,112838,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +31,State-gov,158688,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +31,State-gov,227864,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +31,Private,173858,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Male,0,1902,40,China,<=50K +51,Private,30012,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,80,United-States,<=50K +20,?,50163,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,25,United-States,<=50K +50,State-gov,143822,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +19,?,497414,7th-8th,4,Married-spouse-absent,?,Not-in-family,White,Female,0,0,35,Mexico,<=50K +30,Private,235109,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,339196,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +61,Private,181028,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,18,United-States,<=50K +43,Private,59460,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +21,Private,97212,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,2001,25,United-States,<=50K +32,Private,103642,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +41,Private,70447,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,60,United-States,<=50K +27,Private,321456,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,10,Germany,<=50K +23,Private,126613,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K +52,Self-emp-not-inc,149508,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,United-States,>50K +38,Private,332154,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,United-States,>50K +18,?,471876,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K +25,Private,140669,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,107164,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +39,Private,225707,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Cuba,<=50K +64,Self-emp-inc,56588,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Female,0,0,70,United-States,<=50K +31,Self-emp-inc,183125,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,99,United-States,>50K +56,Private,177368,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,45,United-States,>50K +40,Private,218653,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,191137,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +50,Private,181585,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,142566,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +41,Self-emp-inc,220821,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,>50K +37,Private,280966,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +52,Private,153155,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,40,United-States,>50K +29,Private,195446,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,77884,1st-4th,2,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +41,Private,99373,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,118729,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K +25,Private,108414,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,198366,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,20,United-States,<=50K +42,Private,238384,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,36,United-States,<=50K +27,Private,214695,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +33,Private,120420,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,186934,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +29,Self-emp-not-inc,100368,9th,5,Widowed,Other-service,Unmarried,White,Female,0,0,27,United-States,<=50K +49,Private,723746,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K +67,?,427422,Some-college,10,Married-civ-spouse,?,Husband,White,Male,2414,0,16,United-States,<=50K +44,Private,54271,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,189680,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,>50K +49,Private,230796,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,State-gov,195843,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K +41,Private,109912,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,15024,0,50,England,>50K +19,Private,42069,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,335950,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,70,United-States,<=50K +45,Private,163174,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,40,United-States,>50K +24,Private,81145,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +67,Local-gov,312052,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K +28,Private,209934,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Mexico,<=50K +22,?,269221,Assoc-acdm,12,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +57,Private,322691,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +68,Private,99849,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,28,United-States,<=50K +23,?,213004,Some-college,10,Never-married,?,Own-child,White,Female,0,1719,30,United-States,<=50K +49,Private,182313,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,201505,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K +61,Self-emp-not-inc,227119,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +47,Private,202395,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,170583,11th,7,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +58,State-gov,21838,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +50,Self-emp-inc,68898,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K +34,Private,226702,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +59,?,168079,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,35,United-States,<=50K +42,Self-emp-inc,173628,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +20,Private,164529,11th,7,Never-married,Farming-fishing,Own-child,Black,Male,0,0,40,United-States,<=50K +27,Self-emp-not-inc,301514,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +50,Private,194580,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +63,Private,165611,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +32,Private,96480,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,State-gov,224700,Assoc-voc,11,Divorced,Protective-serv,Unmarried,Black,Male,0,0,40,United-States,<=50K +63,Self-emp-not-inc,141962,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,20,United-States,<=50K +22,Private,377815,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K +24,Private,271379,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +40,Private,421837,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,77953,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +30,Self-emp-not-inc,345122,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Male,0,0,50,United-States,<=50K +38,?,172855,11th,7,Divorced,?,Unmarried,Black,Female,0,0,20,United-States,<=50K +34,Private,87131,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Guatemala,<=50K +21,Private,328906,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +56,Private,21626,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,43,United-States,<=50K +38,Private,143909,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +32,Private,178835,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,2174,0,40,United-States,<=50K +45,Private,94809,Some-college,10,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K +64,Local-gov,172768,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +30,Self-emp-inc,204742,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +32,Self-emp-inc,144949,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K +26,Private,195562,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K +46,Self-emp-not-inc,56482,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,30,United-States,>50K +55,Federal-gov,36314,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,72,United-States,<=50K +51,Self-emp-not-inc,329980,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,8,United-States,>50K +62,Local-gov,103344,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Local-gov,169708,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +54,Local-gov,249949,Some-college,10,Divorced,Exec-managerial,Other-relative,Black,Female,0,0,40,United-States,<=50K +35,Self-emp-not-inc,186934,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,692831,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,48,United-States,<=50K +17,Private,154078,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +22,Private,91733,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +67,Self-emp-inc,325373,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +43,Self-emp-not-inc,160369,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K +57,Local-gov,196126,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +38,Private,120053,HS-grad,9,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,35,United-States,<=50K +19,Private,204337,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +34,Private,128016,HS-grad,9,Never-married,Tech-support,Other-relative,White,Female,0,0,40,United-States,<=50K +50,?,199301,Assoc-voc,11,Never-married,?,Unmarried,Black,Female,0,0,16,United-States,<=50K +33,Private,49027,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,192022,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +40,Private,147099,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,5,United-States,<=50K +32,Private,334744,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K +25,Private,207621,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,194458,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Self-emp-inc,184245,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Mexico,>50K +34,Private,242704,HS-grad,9,Never-married,Tech-support,Own-child,Black,Male,0,0,40,United-States,<=50K +21,?,278130,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,251073,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,153209,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,360879,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,115066,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,409172,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +63,Private,223637,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,50,United-States,<=50K +36,Private,161141,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +34,Private,535869,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,30,United-States,<=50K +60,Federal-gov,49921,9th,5,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +23,Private,335067,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +47,Self-emp-inc,209460,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,40,United-States,>50K +20,Private,355236,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,16,United-States,<=50K +50,Private,240374,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +29,Private,221428,12th,8,Married-civ-spouse,Sales,Own-child,Other,Male,0,0,35,United-States,<=50K +37,Private,356250,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K +20,Private,356347,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +50,Private,245356,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +31,Self-emp-not-inc,247088,HS-grad,9,Separated,Craft-repair,Own-child,Black,Male,0,0,50,United-States,<=50K +27,?,200381,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,300333,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Dominican-Republic,>50K +38,Private,109594,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,70,United-States,>50K +24,Local-gov,221480,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +29,Private,433624,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,179681,Assoc-voc,11,Married-spouse-absent,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +21,Local-gov,136208,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,48,United-States,<=50K +64,Private,159715,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,10566,0,40,United-States,<=50K +33,Private,164683,HS-grad,9,Never-married,Transport-moving,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,152307,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,256908,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,227943,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +75,?,33673,Masters,14,Widowed,?,Not-in-family,Amer-Indian-Eskimo,Male,0,0,26,United-States,<=50K +26,Private,116991,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +64,Private,96076,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +32,Self-emp-inc,201314,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +17,Private,153021,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +34,State-gov,334422,Some-college,10,Divorced,Protective-serv,Unmarried,Black,Male,0,0,47,United-States,<=50K +37,Private,160192,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +72,?,51216,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,14,United-States,<=50K +47,Private,323212,Some-college,10,Separated,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +45,Self-emp-inc,179030,Bachelors,13,Married-civ-spouse,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,35,South,<=50K +23,Private,129345,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K +36,Private,31023,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +62,Self-emp-inc,164616,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K +34,Federal-gov,121093,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,53,United-States,>50K +36,Private,300373,10th,6,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +35,Private,95708,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,7688,0,60,United-States,>50K +36,State-gov,235779,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,114158,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +54,Private,192226,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +38,Private,166416,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,211215,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K +26,Private,157617,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K +44,Private,96170,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K +26,Private,224045,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,36,United-States,<=50K +42,Private,350550,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +37,Self-emp-not-inc,114719,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K +26,Private,124111,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +36,Private,250224,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,Black,Female,0,0,40,United-States,<=50K +19,?,232060,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +44,Private,195258,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +23,Private,285775,HS-grad,9,Never-married,Protective-serv,Other-relative,White,Male,0,0,42,United-States,<=50K +27,Private,146687,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,76128,HS-grad,9,Divorced,Craft-repair,Not-in-family,Other,Male,0,0,60,Ecuador,<=50K +28,Private,241607,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,273675,HS-grad,9,Married-spouse-absent,Other-service,Other-relative,Black,Female,0,0,35,Puerto-Rico,<=50K +29,Private,210867,11th,7,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +41,Private,144752,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K +34,Private,185820,HS-grad,9,Married-civ-spouse,Sales,Wife,Black,Female,0,0,40,United-States,<=50K +42,Private,252518,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,?,<=50K +30,Private,123833,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,291569,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,43,United-States,<=50K +37,Private,638116,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,32,United-States,<=50K +46,Private,269045,11th,7,Widowed,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +46,Private,102852,7th-8th,4,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,195447,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +27,Private,173944,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +25,Private,276728,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Female,0,0,43,United-States,<=50K +21,State-gov,173534,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,Ecuador,<=50K +23,Private,198368,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,27620,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K +46,Local-gov,192235,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +27,Private,467936,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,Mexico,<=50K +25,Private,264136,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +61,Self-emp-not-inc,184009,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,2444,50,United-States,>50K +50,Private,165001,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +66,Private,123484,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +26,Private,123384,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +50,Self-emp-inc,235307,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K +41,Private,238384,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Self-emp-not-inc,171351,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +38,State-gov,162424,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +20,Private,333838,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K +58,Private,100303,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K +41,Federal-gov,58447,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +43,Local-gov,317185,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,36,United-States,<=50K +39,Private,103323,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1669,40,United-States,<=50K +22,Private,221694,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,60,United-States,<=50K +52,Private,214091,HS-grad,9,Widowed,Other-service,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +35,?,171062,Bachelors,13,Never-married,?,Not-in-family,Black,Male,0,0,40,England,<=50K +46,Private,278200,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,187592,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +55,Private,188382,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K +48,Private,65584,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +22,?,117789,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +30,Private,402089,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,55,United-States,<=50K +40,Private,69730,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,34218,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +55,Federal-gov,54566,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,698039,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,28,United-States,<=50K +57,?,76571,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,133201,7th-8th,4,Divorced,Craft-repair,Unmarried,White,Male,0,1408,40,France,<=50K +47,Federal-gov,146786,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +46,?,96154,Some-college,10,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K +64,State-gov,143880,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +18,Private,132397,12th,8,Never-married,Other-service,Own-child,Black,Female,0,0,18,United-States,<=50K +28,?,45613,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,136226,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,334291,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +33,Private,183017,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,32,United-States,<=50K +66,Private,207917,7th-8th,4,Married-civ-spouse,Other-service,Husband,Black,Male,1797,0,20,United-States,<=50K +65,?,136431,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,9386,0,40,United-States,>50K +37,Private,80303,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +19,Private,210509,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +37,?,48915,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,35,United-States,<=50K +41,Private,91316,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,205670,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +76,Private,25319,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K +52,Private,264129,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,40165,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,Japan,<=50K +43,Federal-gov,79529,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K +32,Private,164519,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K +33,Private,184178,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,35,United-States,<=50K +33,State-gov,427812,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,Mexico,<=50K +59,Self-emp-not-inc,172618,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +21,Private,472861,11th,7,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +40,Private,114157,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +22,Self-emp-not-inc,104164,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,35,United-States,<=50K +45,Self-emp-not-inc,180680,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +28,Private,300915,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,43,United-States,>50K +38,Private,308171,Some-college,10,Separated,Tech-support,Unmarried,Black,Female,0,0,50,United-States,<=50K +56,Private,320833,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +42,?,167710,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,18,United-States,<=50K +19,Private,228577,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,36,United-States,<=50K +48,Self-emp-not-inc,221464,11th,7,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,>50K +31,Self-emp-not-inc,213307,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,0,0,28,Mexico,<=50K +42,Private,165815,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,248919,1st-4th,2,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,66,Mexico,<=50K +23,?,116934,10th,6,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +60,Self-emp-not-inc,285365,Some-college,10,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,50,United-States,<=50K +63,Private,134960,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Scotland,<=50K +24,Private,449101,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +42,Private,46019,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,5178,0,50,United-States,>50K +71,?,161027,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,>50K +32,State-gov,19513,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Japan,<=50K +57,Self-emp-not-inc,258121,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +56,Private,242782,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,44,United-States,<=50K +65,?,193365,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K +42,Private,182402,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,50,United-States,>50K +24,Private,254767,11th,7,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,112115,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +58,Private,117299,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +44,Private,214781,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +33,Private,197474,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +24,?,234791,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,25,United-States,<=50K +34,Local-gov,126584,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +72,Self-emp-not-inc,28865,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,14,United-States,<=50K +61,Private,163729,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,218407,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,Columbia,>50K +58,Private,95428,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,Self-emp-inc,146103,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,30,United-States,>50K +25,Private,150312,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +72,Private,76206,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,16,United-States,<=50K +23,Private,340543,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,125461,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,218015,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +49,Private,178160,Assoc-acdm,12,Widowed,Sales,Not-in-family,White,Female,0,0,40,Germany,<=50K +25,Private,169905,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,226629,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +28,Private,180313,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,?,236276,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +71,Private,124901,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +63,Local-gov,214275,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,55,United-States,<=50K +49,Local-gov,371886,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,>50K +65,Private,282779,Masters,14,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,>50K +22,Private,218415,Some-college,10,Never-married,Tech-support,Unmarried,White,Female,0,0,50,United-States,<=50K +45,Private,105431,HS-grad,9,Divorced,Farming-fishing,Unmarried,Black,Female,0,0,39,United-States,<=50K +32,?,373231,Some-college,10,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +29,Private,59792,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K +44,Private,75742,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +64,Private,186731,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,310197,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +64,Private,73413,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,175232,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,338948,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K +22,Private,95647,11th,7,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +43,Self-emp-inc,677398,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +26,Self-emp-not-inc,263300,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,75,United-States,<=50K +47,Federal-gov,218325,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +37,Local-gov,156261,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +25,Private,165817,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,304605,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +39,Self-emp-not-inc,245361,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K +45,Federal-gov,230685,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +18,?,184502,11th,7,Never-married,?,Own-child,Black,Male,0,0,30,United-States,<=50K +37,Local-gov,116736,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,178952,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,156266,11th,7,Married-civ-spouse,Farming-fishing,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K +22,Private,163519,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +18,Private,296090,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +22,Private,119742,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Private,269763,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,10,United-States,<=50K +56,Private,287833,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K +19,?,190093,12th,8,Never-married,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K +74,Self-emp-inc,148003,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,6,United-States,>50K +18,Private,131414,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +39,Private,172571,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Local-gov,184440,12th,8,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,36,United-States,<=50K +28,Private,216479,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,293475,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Federal-gov,109982,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Self-emp-not-inc,205033,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +32,Local-gov,56658,HS-grad,9,Never-married,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +58,Private,159008,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +28,Private,37302,HS-grad,9,Divorced,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +33,Local-gov,107417,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +33,Private,236379,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +51,Private,57637,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K +51,Private,276214,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Self-emp-not-inc,113749,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,100837,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2002,66,United-States,<=50K +45,Private,239058,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +19,Private,286419,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +52,?,50934,Assoc-acdm,12,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,>50K +21,Private,283969,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,Mexico,<=50K +76,Private,152839,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K +46,Local-gov,32290,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,204373,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +51,Private,126528,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +19,Private,245408,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +30,State-gov,127610,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,132919,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,12,United-States,>50K +68,Private,58547,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1735,48,United-States,<=50K +36,Private,251091,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +71,Private,149950,HS-grad,9,Widowed,Priv-house-serv,Unmarried,White,Female,0,0,20,United-States,<=50K +32,Private,464621,Some-college,10,Never-married,Farming-fishing,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +43,Private,170230,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,100294,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +24,Local-gov,234108,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,33046,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K +76,Private,84428,Some-college,10,Widowed,Sales,Not-in-family,Asian-Pac-Islander,Female,2062,0,37,United-States,<=50K +35,Self-emp-not-inc,107662,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,5,Canada,<=50K +23,Private,220874,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +46,Local-gov,88564,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +44,Self-emp-inc,144778,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +17,?,179861,10th,6,Never-married,?,Own-child,White,Male,0,0,10,Poland,<=50K +30,Private,166671,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +51,Private,97180,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,15,United-States,<=50K +18,Self-emp-not-inc,194091,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,24,United-States,<=50K +23,Private,308498,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,18,United-States,<=50K +53,Federal-gov,321865,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +25,Private,181814,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +44,Private,374423,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1902,40,United-States,>50K +49,Private,213668,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +28,Private,213236,HS-grad,9,Separated,Other-service,Unmarried,White,Male,0,0,40,Dominican-Republic,<=50K +58,Self-emp-not-inc,115439,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +36,Private,124111,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +32,Private,176185,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,4787,0,40,United-States,>50K +26,Private,211231,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +25,Private,259715,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +19,Private,248600,10th,6,Never-married,Other-service,Other-relative,White,Female,34095,0,24,United-States,<=50K +39,Private,153997,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,1902,40,Puerto-Rico,>50K +44,Private,67779,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +32,Private,236861,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,<=50K +57,Private,367334,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +64,Private,213391,9th,5,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K +46,Local-gov,301124,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1564,45,United-States,>50K +37,Private,184117,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,233923,Assoc-voc,11,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +30,Private,348592,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Local-gov,111817,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,170983,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Self-emp-not-inc,121407,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,35,United-States,<=50K +40,Local-gov,210275,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K +21,Private,116358,HS-grad,9,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +48,Private,189123,Masters,14,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,48087,Bachelors,13,Divorced,Machine-op-inspct,Not-in-family,White,Male,2354,0,40,United-States,<=50K +37,Private,179488,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +30,Local-gov,370990,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +49,Private,169760,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +38,State-gov,34493,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +61,Private,185584,Bachelors,13,Widowed,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Female,0,0,40,?,<=50K +44,Private,324311,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,32,Mexico,<=50K +62,Self-emp-not-inc,96299,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +47,Private,147322,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Columbia,<=50K +35,Private,135289,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +44,State-gov,128586,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,State-gov,185590,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +28,Self-emp-not-inc,107458,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K +57,Private,151874,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,50,United-States,<=50K +26,State-gov,413846,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,203836,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,>50K +44,Self-emp-not-inc,110028,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,57640,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +40,State-gov,67874,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,58,United-States,<=50K +50,Self-emp-not-inc,169112,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K +37,Self-emp-inc,154410,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +26,Private,63234,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,4508,0,12,United-States,<=50K +64,Private,121036,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,>50K +30,Private,408328,Preschool,1,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,0,40,Mexico,<=50K +29,Private,269254,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,115438,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +28,Private,332249,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,25,United-States,<=50K +33,State-gov,160261,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +24,Private,167316,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,30,United-States,<=50K +26,State-gov,291586,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +77,Self-emp-not-inc,184046,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +25,Federal-gov,178025,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,9,United-States,<=50K +53,Private,104280,12th,8,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +38,Private,302604,11th,7,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,44,United-States,<=50K +30,Private,225243,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,47,United-States,>50K +39,Self-emp-not-inc,327120,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K +51,Self-emp-not-inc,43878,Doctorate,16,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +25,?,40915,Bachelors,13,Married-spouse-absent,?,Not-in-family,White,Female,0,0,15,United-States,<=50K +49,Self-emp-inc,83444,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,85,United-States,>50K +51,Private,351416,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Self-emp-not-inc,117310,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,1876,48,United-States,<=50K +36,Private,324231,9th,5,Never-married,Farming-fishing,Unmarried,Black,Female,0,0,40,United-States,<=50K +62,Private,161802,1st-4th,2,Married-civ-spouse,Priv-house-serv,Wife,Black,Female,0,0,30,United-States,<=50K +40,Self-emp-not-inc,184804,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,2205,45,United-States,<=50K +30,Federal-gov,547931,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +39,Private,46395,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +47,Local-gov,182313,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +28,Local-gov,169069,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,203182,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,Private,142924,Bachelors,13,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,180656,5th-6th,3,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Guatemala,<=50K +58,Private,187485,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,24,United-States,<=50K +84,?,157778,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,6,United-States,<=50K +46,Self-emp-not-inc,149337,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +23,Private,97054,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +32,Private,377017,Bachelors,13,Never-married,Sales,Other-relative,White,Male,0,0,32,United-States,<=50K +43,Private,106900,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,378723,10th,6,Separated,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +23,Private,209955,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,312766,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +59,Private,70857,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +22,Private,238917,11th,7,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,El-Salvador,<=50K +50,State-gov,53497,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,46,United-States,>50K +44,Private,283174,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +60,?,190497,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +56,State-gov,104447,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,2339,40,United-States,<=50K +36,Private,73023,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,2202,0,40,United-States,<=50K +20,Private,177896,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,349951,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4508,0,55,United-States,<=50K +29,Private,80179,HS-grad,9,Separated,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +32,State-gov,308955,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K +36,Private,126896,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,35,United-States,<=50K +19,State-gov,116385,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,18,United-States,<=50K +37,State-gov,172425,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,106615,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,15,United-States,<=50K +42,Private,261929,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +22,Private,163870,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +35,Self-emp-inc,242080,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,45,United-States,>50K +21,Private,30796,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +43,Self-emp-not-inc,207578,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K +22,?,140001,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,217942,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K +28,Private,301010,11th,7,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +20,?,222007,Some-college,10,Never-married,?,Own-child,White,Male,0,0,24,United-States,<=50K +32,Private,72630,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,3325,0,45,United-States,<=50K +49,Local-gov,204377,11th,7,Divorced,Other-service,Own-child,White,Female,0,0,60,United-States,<=50K +38,Local-gov,189614,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +21,Private,100345,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,163687,10th,6,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +34,Local-gov,174215,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,35,United-States,>50K +32,Private,37646,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +33,Private,84154,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,<=50K +41,Private,116493,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,52,United-States,<=50K +38,Private,259972,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +58,State-gov,185338,Bachelors,13,Widowed,Tech-support,Unmarried,White,Female,0,0,40,United-States,>50K +44,Private,99212,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,35,United-States,<=50K +61,Private,54780,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +35,Private,393673,Some-college,10,Never-married,Tech-support,Other-relative,White,Female,0,0,40,United-States,<=50K +36,Private,66687,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +44,Private,133986,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,248694,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,212888,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K +51,Self-emp-inc,304955,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +23,Private,172232,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,53,United-States,<=50K +59,Private,32446,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,182701,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,12,Mexico,<=50K +23,Private,164920,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,15,Germany,<=50K +24,Private,274424,HS-grad,9,Never-married,Tech-support,Unmarried,White,Female,1831,0,40,United-States,<=50K +57,Private,176904,10th,6,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +28,Private,217530,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K +59,Private,318450,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +39,Private,210945,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,<=50K +26,Private,181838,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +17,Private,91931,11th,7,Never-married,Sales,Own-child,White,Female,0,0,23,United-States,<=50K +45,Self-emp-not-inc,123681,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +64,Local-gov,181628,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,<=50K +72,?,305145,Bachelors,13,Widowed,?,Not-in-family,White,Male,0,0,4,United-States,<=50K +55,Private,174533,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,94342,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,16,United-States,<=50K +43,Private,215624,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +46,Self-emp-not-inc,112485,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +54,Private,27484,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +26,Private,186454,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,4650,0,40,Vietnam,<=50K +28,State-gov,187746,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1669,40,United-States,<=50K +57,Private,358628,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,295939,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +61,Self-emp-not-inc,127198,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,<=50K +48,Private,81497,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,65,United-States,<=50K +30,Self-emp-not-inc,143078,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,2444,55,United-States,>50K +70,Self-emp-not-inc,177806,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +30,Local-gov,210926,9th,5,Divorced,Farming-fishing,Unmarried,White,Female,0,0,40,Mexico,<=50K +34,Private,195144,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,252563,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Self-emp-not-inc,170785,12th,8,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +19,Private,111232,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K +59,Private,59584,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +48,Private,148254,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,1902,40,?,>50K +30,Local-gov,19302,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,70,Germany,>50K +52,Private,285224,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K +43,Private,172256,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K +51,State-gov,128260,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K +25,Private,156163,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,?,<=50K +31,Private,155914,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,58471,HS-grad,9,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,282389,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,70,United-States,<=50K +40,Private,117915,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +40,Private,163628,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,287436,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K +58,State-gov,139736,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,1741,40,United-States,<=50K +28,Local-gov,136643,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +43,Local-gov,180572,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +40,State-gov,148805,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +55,Private,497039,Some-college,10,Divorced,Tech-support,Unmarried,Black,Female,0,0,56,United-States,<=50K +18,Private,226956,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K +36,Private,157184,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,>50K +21,Private,315470,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +45,Private,252079,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +53,Private,138022,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +33,Private,48520,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,346605,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +35,Private,139770,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,29,United-States,<=50K +41,Private,209899,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +44,Self-emp-not-inc,55844,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +61,Private,215789,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,126913,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K +42,State-gov,101950,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K +28,Private,451742,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Private,173754,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +51,Private,350131,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,2339,40,United-States,<=50K +32,Private,185820,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +35,Private,176837,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,271282,Bachelors,13,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,56,United-States,<=50K +25,?,420081,Assoc-acdm,12,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +38,State-gov,142282,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,State-gov,266855,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,>50K +36,Private,148143,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Female,0,0,40,United-States,<=50K +40,State-gov,21189,Bachelors,13,Divorced,Adm-clerical,Other-relative,Black,Female,0,0,32,United-States,<=50K +37,Private,110013,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,350400,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +51,Private,275507,Some-college,10,Divorced,Sales,Unmarried,Black,Female,0,0,50,United-States,<=50K +42,Private,169948,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,80,United-States,>50K +41,Private,298161,Assoc-voc,11,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,Cuba,<=50K +45,?,120131,HS-grad,9,Never-married,?,Other-relative,White,Male,0,0,25,United-States,<=50K +32,State-gov,113129,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,>50K +24,Private,201680,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +63,Private,158609,10th,6,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,20,United-States,<=50K +67,Self-emp-inc,22313,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,20051,0,40,United-States,>50K +36,Private,261012,HS-grad,9,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,50,United-States,<=50K +52,Private,104501,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +32,Private,50178,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +38,Private,65624,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +33,Private,236481,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,10,India,<=50K +50,Private,213041,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +55,Private,105127,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,?,127441,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,42,United-States,<=50K +30,Private,210541,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Self-emp-not-inc,163512,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,8,Guatemala,<=50K +36,Private,170376,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K +50,Private,132465,1st-4th,2,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,40,Mexico,<=50K +45,Private,253827,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +22,Private,186383,HS-grad,9,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,40,United-States,<=50K +34,Private,111985,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +37,Private,152909,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +57,Private,279340,7th-8th,4,Widowed,Other-service,Unmarried,Black,Female,0,0,29,United-States,<=50K +29,Private,154571,Some-college,10,Never-married,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,40,?,<=50K +31,Private,270889,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,241731,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +45,?,256649,Bachelors,13,Married-civ-spouse,?,Husband,Black,Male,0,0,45,United-States,>50K +31,Private,176711,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,359155,HS-grad,9,Separated,Transport-moving,Unmarried,White,Female,0,0,30,United-States,<=50K +30,State-gov,103651,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,138872,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +50,Private,180195,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K +37,Local-gov,175979,Bachelors,13,Divorced,Prof-specialty,Other-relative,White,Female,0,0,60,United-States,<=50K +59,Local-gov,53612,Masters,14,Separated,Prof-specialty,Own-child,Black,Female,0,0,35,United-States,<=50K +18,Local-gov,28357,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,460322,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,43,United-States,<=50K +36,Private,182954,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,Dominican-Republic,<=50K +17,Private,242871,10th,6,Never-married,Sales,Own-child,White,Female,594,0,12,United-States,<=50K +55,Local-gov,30636,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,United-States,>50K +47,Local-gov,274657,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,White,Male,3908,0,40,United-States,<=50K +17,?,179807,10th,6,Never-married,?,Own-child,White,Female,0,0,16,United-States,<=50K +18,Private,230215,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +46,Federal-gov,260549,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,80,United-States,>50K +31,Private,408208,HS-grad,9,Never-married,Craft-repair,Other-relative,Black,Male,0,0,40,United-States,<=50K +61,Private,143837,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,203784,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,38,Mexico,<=50K +43,Federal-gov,190020,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +26,Private,666014,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +32,Private,50753,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +52,Federal-gov,197515,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,209476,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +67,Private,192995,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,6723,0,40,United-States,<=50K +25,Private,39640,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K +33,Private,203488,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +29,Private,125791,Assoc-acdm,12,Never-married,Exec-managerial,Other-relative,White,Female,0,0,38,United-States,<=50K +20,Private,167424,Some-college,10,Never-married,Priv-house-serv,Own-child,White,Female,0,0,40,United-States,<=50K +58,?,169590,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +56,?,174533,Bachelors,13,Never-married,?,Unmarried,White,Female,0,0,20,United-States,<=50K +37,Private,474568,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,?,>50K +36,Private,414910,7th-8th,4,Divorced,Sales,Not-in-family,Other,Female,0,0,35,United-States,<=50K +21,Self-emp-inc,95997,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K +26,Private,191797,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,16,United-States,<=50K +81,?,143732,1st-4th,2,Widowed,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +52,Private,65624,Assoc-acdm,12,Never-married,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +48,Private,352614,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,?,>50K +34,Private,301251,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +47,Private,98524,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,112512,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,>50K +37,Local-gov,170861,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +42,Private,244668,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Male,8614,0,40,Mexico,>50K +23,Private,148890,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,25,United-States,<=50K +37,Private,149898,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +45,Private,240629,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +28,Federal-gov,19522,Some-college,10,Never-married,Tech-support,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +89,Private,152839,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +54,Local-gov,105788,Masters,14,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,37,United-States,>50K +23,Private,314823,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,24,United-States,<=50K +20,?,287681,5th-6th,3,Never-married,?,Not-in-family,White,Male,0,0,25,Mexico,<=50K +50,?,313445,HS-grad,9,Separated,?,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +35,Private,289148,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,166193,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +31,Federal-gov,206857,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,150683,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,42,United-States,<=50K +52,Private,155759,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,?,211459,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +35,Private,191103,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,88856,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,40,United-States,>50K +41,Private,193882,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,65,United-States,>50K +57,State-gov,222792,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +22,Private,190137,HS-grad,9,Never-married,Sales,Own-child,Other,Male,0,0,40,United-States,<=50K +37,Private,174308,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +74,Private,172787,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Male,0,2282,35,United-States,>50K +56,Private,146391,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,Ireland,<=50K +33,Private,179708,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,<=50K +31,Local-gov,314375,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,30,United-States,<=50K +41,Local-gov,120277,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +26,Private,244906,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +59,Local-gov,251890,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,25,Puerto-Rico,<=50K +23,Private,220993,HS-grad,9,Married-civ-spouse,Sales,Not-in-family,Black,Male,0,0,60,United-States,<=50K +35,Private,309131,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +50,State-gov,263200,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,Ecuador,<=50K +52,Self-emp-not-inc,92469,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K +31,Private,32406,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +37,Private,235070,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,35,Haiti,<=50K +48,Private,196571,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Local-gov,258819,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,33945,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,452640,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +57,Self-emp-not-inc,112772,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +49,Self-emp-not-inc,34845,Assoc-voc,11,Divorced,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,<=50K +23,Private,119051,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K +20,Private,197767,Some-college,10,Never-married,Sales,Not-in-family,Black,Female,0,0,36,United-States,<=50K +52,Local-gov,181578,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,40,?,>50K +56,Private,329654,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,7688,0,50,United-States,>50K +57,Federal-gov,47534,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,>50K +20,Private,341294,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,336042,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +41,Self-emp-inc,56019,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,99999,0,50,India,>50K +45,Private,86505,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,274106,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,Mexico,<=50K +62,Federal-gov,52765,9th,5,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Self-emp-inc,136848,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,6,United-States,<=50K +24,Private,298227,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +19,Self-emp-not-inc,215493,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,20,United-States,<=50K +20,?,197583,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +32,Private,265190,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,96921,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +53,Local-gov,202420,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +45,Private,252616,7th-8th,4,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,36,China,<=50K +39,Private,102976,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +55,Private,70439,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,>50K +30,Private,184290,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K +39,Federal-gov,72887,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +23,Local-gov,237498,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,45,United-States,<=50K +28,Self-emp-not-inc,228043,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K +42,Private,144056,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K +35,Private,187711,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,282489,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +29,Private,359155,Bachelors,13,Divorced,Tech-support,Unmarried,White,Female,0,0,20,United-States,<=50K +21,Self-emp-not-inc,87169,HS-grad,9,Never-married,Farming-fishing,Own-child,Asian-Pac-Islander,Male,0,0,35,United-States,<=50K +35,Private,251091,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,Puerto-Rico,<=50K +42,Private,130126,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,163265,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,30,United-States,<=50K +57,Private,250040,7th-8th,4,Divorced,Prof-specialty,Other-relative,White,Female,0,0,20,?,<=50K +59,?,218764,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,45,United-States,<=50K +50,Private,176773,Preschool,1,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,Haiti,<=50K +37,Self-emp-not-inc,98941,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +20,Private,217467,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +46,Self-emp-not-inc,97176,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K +28,Private,230503,Some-college,10,Never-married,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,227321,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K +20,Private,199698,9th,5,Never-married,Transport-moving,Unmarried,White,Male,0,0,35,United-States,<=50K +38,Local-gov,347491,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,103925,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Germany,<=50K +30,Private,124569,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,16,United-States,<=50K +35,Private,80680,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K +30,State-gov,119197,Masters,14,Divorced,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K +56,Private,147055,9th,5,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,316470,9th,5,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,40,Mexico,<=50K +64,Private,260082,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Cuba,<=50K +21,?,228960,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +17,?,256496,10th,6,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K +49,Private,133351,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,Black,Female,0,0,40,United-States,<=50K +37,Private,151835,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +52,?,224793,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,0,8,United-States,<=50K +55,Private,101480,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,33,United-States,<=50K +24,Private,138719,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K +23,Private,129121,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +31,Private,401069,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,39,United-States,<=50K +17,?,188758,10th,6,Never-married,?,Own-child,White,Male,0,0,14,United-States,<=50K +50,Private,191598,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,1980,38,United-States,<=50K +33,Private,330715,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +24,Private,284317,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,393673,12th,8,Married-civ-spouse,Other-service,Wife,White,Female,0,0,45,United-States,<=50K +31,Self-emp-not-inc,206609,10th,6,Never-married,Transport-moving,Not-in-family,White,Male,0,2205,60,United-States,<=50K +77,?,88545,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +21,Private,224632,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,38,United-States,<=50K +18,Private,227529,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,10,United-States,<=50K +25,Private,210148,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +57,Private,224174,Assoc-voc,11,Widowed,Craft-repair,Not-in-family,Black,Male,0,0,40,?,<=50K +25,Private,193787,Some-college,10,Never-married,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,<=50K +62,Self-emp-not-inc,244953,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,20,United-States,<=50K +35,Private,223749,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,48,United-States,>50K +26,Private,37650,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,5060,0,40,United-States,<=50K +47,Private,358382,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +25,Private,155275,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,180574,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,101853,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,34161,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +50,Private,83311,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +61,Private,217125,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +50,Private,166368,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +23,?,44793,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,?,123147,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,25,United-States,<=50K +51,Private,184529,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1977,50,United-States,>50K +37,Private,224566,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,39,United-States,<=50K +25,Private,195994,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +38,Private,186376,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,42,United-States,>50K +60,Federal-gov,38749,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,99999,0,60,Philippines,>50K +66,?,78375,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K +74,Private,148867,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,6418,0,24,United-States,>50K +37,Private,207066,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,<=50K +26,Private,339423,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,172186,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +19,?,138564,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,8,United-States,<=50K +35,Private,208259,10th,6,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,36,United-States,<=50K +43,Local-gov,203376,Masters,14,Widowed,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Self-emp-inc,243165,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +35,Self-emp-inc,213008,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,159323,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,65,Canada,<=50K +22,Private,197050,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +36,Private,166855,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,163072,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,34,United-States,<=50K +36,Private,191807,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,75,United-States,<=50K +29,State-gov,48634,Bachelors,13,Never-married,Protective-serv,Own-child,White,Female,0,0,40,United-States,<=50K +30,Local-gov,287737,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Female,3325,0,40,United-States,<=50K +31,Private,162623,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +27,Private,104993,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K +44,?,256211,Assoc-voc,11,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,2129,40,Poland,<=50K +17,Private,298605,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +36,Private,115803,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +43,Private,183342,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +46,Self-emp-not-inc,115971,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,254547,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,20,United-States,<=50K +42,Private,211940,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +55,State-gov,136819,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,>50K +61,Self-emp-not-inc,186000,Assoc-voc,11,Widowed,Craft-repair,Unmarried,White,Female,0,0,40,Canada,<=50K +20,Private,289982,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,10,El-Salvador,<=50K +60,Private,137344,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,174413,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +33,Private,186993,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,51,United-States,<=50K +67,Self-emp-not-inc,176388,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +34,Private,49469,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +34,Private,83800,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K +38,Private,194809,Some-college,10,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +50,Private,194397,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,181363,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K +55,?,227243,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,35,Puerto-Rico,<=50K +18,Private,176136,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +26,?,102541,10th,6,Never-married,?,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +40,Private,166088,Assoc-voc,11,Widowed,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K +37,Self-emp-inc,95634,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,Canada,<=50K +35,Private,66304,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +22,Private,64292,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,2176,0,25,United-States,<=50K +33,Private,41610,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Local-gov,198028,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +36,Private,228652,Some-college,10,Divorced,Machine-op-inspct,Own-child,Other,Male,0,0,40,Mexico,<=50K +41,Private,165815,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +39,Private,238255,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +63,Private,65740,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +52,Private,279543,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,Cuba,>50K +36,Private,114765,10th,6,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +27,Private,279580,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,42,Mexico,<=50K +19,Private,73257,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,15,Germany,<=50K +66,Private,80621,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +74,State-gov,193602,Some-college,10,Widowed,Exec-managerial,Not-in-family,Black,Male,15831,0,40,United-States,>50K +17,?,141445,9th,5,Never-married,?,Own-child,White,Male,0,0,5,United-States,<=50K +37,Private,224512,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +52,Self-emp-not-inc,98642,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,India,>50K +21,?,182288,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +44,Private,765214,Masters,14,Separated,Exec-managerial,Not-in-family,White,Male,0,2559,40,United-States,>50K +24,Private,224785,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1876,65,United-States,<=50K +19,?,285177,Some-college,10,Never-married,?,Own-child,White,Male,0,0,18,United-States,<=50K +31,Private,241880,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,45,United-States,<=50K +42,Self-emp-inc,201495,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +35,Private,165215,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,15,United-States,>50K +35,Self-emp-inc,99146,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +26,State-gov,92795,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,80,United-States,<=50K +39,Self-emp-not-inc,54022,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +38,Private,175268,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +39,Local-gov,123983,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K +35,Private,269323,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,1887,40,United-States,>50K +40,Private,32798,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,45,United-States,<=50K +64,Private,101077,Prof-school,15,Widowed,Prof-specialty,Not-in-family,White,Female,0,2444,40,United-States,>50K +22,?,157332,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +49,Private,390746,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1672,45,Ireland,<=50K +26,Private,200318,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,<=50K +38,?,36425,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,25,United-States,<=50K +44,Private,221172,5th-6th,3,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +34,Self-emp-inc,337995,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Male,15020,0,50,United-States,>50K +54,Private,64421,Some-college,10,Widowed,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,199915,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +64,Private,207658,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +22,Private,124810,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +40,Self-emp-inc,253060,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +36,Private,76878,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,40,United-States,>50K +20,?,38455,HS-grad,9,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K +49,Private,41294,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,205195,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +48,Private,162236,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +27,Private,445480,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,761800,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,188300,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,28,United-States,<=50K +36,Private,138088,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +53,Private,132304,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +32,Private,126173,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,259873,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,122215,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +24,Private,190015,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,313132,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +35,Self-emp-not-inc,103323,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +17,?,44789,Some-college,10,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K +28,Private,192932,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,264025,HS-grad,9,Separated,Transport-moving,Unmarried,Black,Male,1506,0,80,United-States,<=50K +37,Private,30269,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,2174,0,50,United-States,<=50K +23,Private,283092,HS-grad,9,Never-married,Sales,Other-relative,Black,Male,0,0,40,Jamaica,<=50K +17,Private,125236,10th,6,Never-married,Sales,Own-child,White,Female,0,0,22,United-States,<=50K +47,Private,187308,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +43,Private,150519,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +39,Local-gov,32587,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,1485,40,United-States,>50K +37,Private,244803,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Columbia,<=50K +23,Private,316793,HS-grad,9,Married-civ-spouse,Sales,Wife,Black,Female,0,0,35,United-States,<=50K +41,Private,106068,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,191878,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K +30,?,159008,Bachelors,13,Married-spouse-absent,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +39,Private,181983,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Female,0,2559,60,England,>50K +65,Private,113293,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +61,Local-gov,224711,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,63,United-States,>50K +20,Private,460356,12th,8,Never-married,Other-service,Not-in-family,White,Male,0,0,30,Mexico,<=50K +37,Local-gov,184474,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,2977,0,55,United-States,<=50K +39,Private,289890,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +27,Private,183148,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,178109,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +54,Private,351760,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +39,Private,176967,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +17,Private,67444,11th,7,Never-married,Other-service,Other-relative,Black,Male,0,0,20,United-States,<=50K +23,Private,48343,HS-grad,9,Never-married,Sales,Not-in-family,Black,Female,0,0,27,?,<=50K +19,Private,1047822,11th,7,Never-married,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K +55,Local-gov,200448,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +36,Private,34364,Assoc-acdm,12,Separated,Tech-support,Not-in-family,White,Female,0,0,3,United-States,<=50K +27,Private,95725,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K +23,Private,124802,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +38,Local-gov,196673,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,55,United-States,<=50K +22,Private,196943,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,43819,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +53,Private,173020,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +67,Local-gov,102690,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K +42,Private,199018,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,>50K +29,Private,201954,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,<=50K +31,Private,168854,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,1504,40,United-States,<=50K +22,Private,53702,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,154043,HS-grad,9,Widowed,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K +41,Self-emp-inc,64112,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +68,?,294420,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,0,2,United-States,<=50K +42,Self-emp-inc,325159,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +20,Private,267706,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +18,Private,70240,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +31,Private,213307,7th-8th,4,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,20,Mexico,<=50K +56,Private,192845,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K +23,Private,273010,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,?,177775,Assoc-voc,11,Never-married,?,Other-relative,White,Female,0,0,32,United-States,<=50K +22,?,393122,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +23,Private,345577,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,46,United-States,<=50K +54,Self-emp-not-inc,72257,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +34,Private,113129,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,38,United-States,>50K +36,Private,292380,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,10,United-States,<=50K +29,Private,121040,Assoc-voc,11,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +67,Private,142097,9th,5,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,6,United-States,<=50K +48,Federal-gov,34998,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,>50K +53,State-gov,41021,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,46,United-States,>50K +42,Private,152889,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,50,United-States,>50K +56,Private,436651,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K +20,?,256504,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +40,Private,215479,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K +55,State-gov,100285,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,10520,0,40,United-States,>50K +61,Private,373099,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,99357,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +42,Private,67243,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Portugal,<=50K +32,Private,231263,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +19,Private,243942,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,194102,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +39,Private,141748,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,40,United-States,>50K +22,Private,211013,HS-grad,9,Separated,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +23,Private,102652,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +49,Private,201127,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,70,United-States,<=50K +57,?,172667,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K +49,Local-gov,175958,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Italy,<=50K +34,Private,73928,10th,6,Separated,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,4,United-States,<=50K +46,Private,212944,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K +26,Private,544319,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,348960,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,41,United-States,<=50K +59,Private,280519,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +24,Private,155172,Assoc-acdm,12,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,106856,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,397346,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +27,Private,253814,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K +23,Private,201490,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +19,Private,176806,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,107038,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,122194,Some-college,10,Married-civ-spouse,Craft-repair,Wife,White,Female,7298,0,40,United-States,>50K +28,Self-emp-not-inc,180928,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +62,Private,143746,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,183523,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K +35,Federal-gov,179262,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,190759,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K +53,Self-emp-inc,200400,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K +29,Private,166320,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +17,Private,205954,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,8,United-States,<=50K +45,Local-gov,251786,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K +20,Private,166371,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +27,?,135046,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K +59,Local-gov,170423,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,393673,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,115438,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,173944,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +26,?,292803,Some-college,10,Divorced,?,Other-relative,White,Female,0,0,35,United-States,<=50K +63,Private,149756,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K +39,Private,192251,Some-college,10,Divorced,Craft-repair,Own-child,White,Female,0,0,50,United-States,>50K +20,Private,163687,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,200421,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +53,Self-emp-inc,368014,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K +49,?,141483,10th,6,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +35,Federal-gov,191480,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +40,Private,202466,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +50,?,28765,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +35,Private,141584,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +38,Federal-gov,143123,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +47,Private,122194,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,State-gov,110171,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,40,United-States,>50K +43,Self-emp-inc,342510,Bachelors,13,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,60,United-States,>50K +20,Private,42279,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +33,Private,201122,HS-grad,9,Separated,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,254025,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K +50,Private,410114,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +60,Private,320422,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,6849,0,50,United-States,<=50K +56,Private,67153,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +37,Private,224406,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,211678,10th,6,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,64,United-States,<=50K +22,Private,257017,Assoc-voc,11,Never-married,Other-service,Other-relative,Black,Male,0,0,52,United-States,<=50K +48,Self-emp-inc,106232,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,48,United-States,>50K +27,State-gov,41115,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +18,Self-emp-not-inc,161245,12th,8,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K +41,Self-emp-not-inc,37618,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +33,Private,321787,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,123011,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K +33,Local-gov,66278,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +25,Private,181054,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K +55,Self-emp-not-inc,129786,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +29,Private,245402,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,70,United-States,<=50K +24,?,192711,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,41,United-States,<=50K +41,Private,240124,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +29,Local-gov,370675,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +39,Self-emp-not-inc,34066,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,50,United-States,>50K +35,Private,53553,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,48,United-States,>50K +20,Private,319758,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,43556,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Self-emp-inc,97952,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,80,United-States,<=50K +44,Private,244522,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +32,Private,188108,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +35,Private,187022,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,State-gov,173422,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,38,United-States,<=50K +61,State-gov,103575,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,Germany,<=50K +20,Private,116830,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,43,United-States,<=50K +58,Private,219504,12th,8,Divorced,Transport-moving,Unmarried,Black,Male,0,0,45,United-States,>50K +48,Self-emp-not-inc,102102,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +26,Private,129661,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +28,State-gov,189346,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,113211,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K +45,Private,256866,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +18,Private,186408,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,1055,0,40,United-States,<=50K +23,Private,50411,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,118941,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +19,?,171868,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,20,United-States,<=50K +35,Private,99065,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K +22,Self-emp-not-inc,238917,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,220740,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K +69,Private,192660,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +39,Private,56962,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,43,United-States,>50K +21,?,156780,Some-college,10,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,15,?,<=50K +22,Private,122048,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,4416,0,40,United-States,<=50K +52,Private,172511,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,36,United-States,<=50K +44,Private,186790,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K +22,Private,196280,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +49,Private,61885,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +51,Private,143822,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +27,Private,315640,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,20,China,<=50K +34,Private,617917,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K +20,Private,35448,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K +22,Private,124483,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,2339,40,India,<=50K +68,Private,230904,11th,7,Widowed,Machine-op-inspct,Not-in-family,Black,Female,0,1870,35,United-States,<=50K +31,Private,164461,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,73,United-States,<=50K +22,Private,450695,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +62,?,352156,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,166634,HS-grad,9,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +46,Private,151107,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,1977,60,United-States,>50K +49,Private,219751,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,85604,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +54,Local-gov,231482,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K +24,Private,138152,9th,5,Never-married,Craft-repair,Other-relative,Other,Male,0,0,58,Guatemala,<=50K +27,Private,309196,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,91666,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,89734,Some-college,10,Never-married,Other-service,Other-relative,Amer-Indian-Eskimo,Male,0,0,42,United-States,<=50K +27,Private,79661,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4386,0,40,United-States,>50K +39,Private,197150,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,50,El-Salvador,<=50K +29,?,41281,Bachelors,13,Married-spouse-absent,?,Not-in-family,White,Male,0,0,50,United-States,<=50K +29,Private,53448,12th,8,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,50,China,<=50K +44,Self-emp-not-inc,255543,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,>50K +51,State-gov,367209,Doctorate,16,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,>50K +37,Private,226500,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +56,Private,292710,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +19,Private,235732,11th,7,Never-married,Adm-clerical,Unmarried,White,Female,0,0,15,United-States,<=50K +37,Private,301614,Bachelors,13,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +18,Private,261714,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +35,?,35751,1st-4th,2,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K +28,Private,266316,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,3464,0,35,United-States,<=50K +40,Self-emp-inc,189941,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,60,United-States,>50K +50,Self-emp-not-inc,143535,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,234537,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,60,United-States,<=50K +57,Self-emp-not-inc,181435,11th,7,Divorced,Other-service,Unmarried,White,Male,4650,0,50,United-States,<=50K +40,Private,94210,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +44,Private,344060,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,27828,0,40,United-States,>50K +40,Private,301359,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +42,State-gov,184527,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +41,Federal-gov,333070,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,35,United-States,<=50K +23,Private,149574,Some-college,10,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K +41,Self-emp-not-inc,34037,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K +41,Self-emp-not-inc,123502,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +29,Self-emp-not-inc,267661,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,75,United-States,<=50K +33,Private,109920,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +43,Private,134120,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,46,United-States,<=50K +18,Private,192254,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K +67,Self-emp-not-inc,94809,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,2346,0,33,United-States,<=50K +21,Private,183789,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,86643,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +22,?,190290,Some-college,10,Never-married,?,Own-child,White,Male,0,0,65,United-States,<=50K +64,?,228140,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +24,Private,198349,11th,7,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +44,Local-gov,113597,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Federal-gov,280567,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,4,United-States,<=50K +60,Private,298967,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,15,United-States,<=50K +31,Self-emp-not-inc,134615,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +74,Private,89852,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,11,United-States,<=50K +30,Private,289442,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,159109,11th,7,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +47,Private,105495,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K +71,Private,155093,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +33,Private,312923,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,80,Mexico,<=50K +56,Private,202435,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,30,United-States,<=50K +24,Self-emp-not-inc,49154,11th,7,Never-married,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +37,Private,184456,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +52,Private,95329,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,India,<=50K +42,Private,173938,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K +56,Private,373216,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,<=50K +52,Private,204226,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,State-gov,222745,Doctorate,16,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,56,United-States,<=50K +54,Private,106728,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,61287,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +68,Private,146011,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Female,3273,0,42,United-States,<=50K +38,Private,166744,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +44,Local-gov,54651,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +32,?,42894,11th,7,Married-civ-spouse,?,Wife,White,Female,0,0,15,United-States,<=50K +23,Private,131230,Bachelors,13,Never-married,Protective-serv,Own-child,White,Male,0,0,50,United-States,<=50K +69,Private,271312,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,Private,163776,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,60,United-States,>50K +24,Private,230126,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,37718,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +43,Private,245975,9th,5,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,84,United-States,<=50K +59,State-gov,115439,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K +35,Private,97554,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +43,Private,109762,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,>50K +47,Private,138342,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +29,?,429696,Some-college,10,Married-civ-spouse,?,Own-child,Black,Female,0,0,14,United-States,<=50K +77,?,309955,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,1411,2,United-States,<=50K +48,Private,275154,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +40,Private,52849,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,?,>50K +23,State-gov,191165,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,15,United-States,<=50K +51,Private,277471,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +43,Private,171754,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,?,<=50K +44,Private,117936,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +24,Private,249956,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Self-emp-inc,170502,Masters,14,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,70,United-States,>50K +19,Private,202951,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +21,Private,396722,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +49,Private,93557,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +22,Private,103805,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,36,United-States,<=50K +59,Private,92141,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +51,Private,171924,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,50,United-States,>50K +38,Local-gov,173804,Bachelors,13,Divorced,Prof-specialty,Own-child,White,Female,0,0,38,United-States,<=50K +45,Private,139571,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +56,Self-emp-inc,142076,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +67,?,126514,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,4,United-States,<=50K +27,Local-gov,68729,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +21,Private,37783,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K +55,Self-emp-not-inc,183580,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +31,Private,106637,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +57,Self-emp-not-inc,411604,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,Mexico,<=50K +33,Private,214635,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,?,<=50K +26,Private,201663,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +51,Private,153064,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5013,0,40,United-States,<=50K +35,Private,212465,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,?,93604,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +46,Private,141221,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +38,Local-gov,289653,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1628,48,United-States,<=50K +24,Private,219835,7th-8th,4,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,24,Guatemala,<=50K +38,State-gov,187119,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +49,Private,406518,HS-grad,9,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,16,Yugoslavia,<=50K +34,Self-emp-not-inc,372793,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,21,?,<=50K +55,?,229029,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,5178,0,20,United-States,>50K +51,Private,145105,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,30,United-States,<=50K +72,Private,171181,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,2329,0,20,United-States,<=50K +60,Private,80927,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +45,Private,191357,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,153542,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +49,Private,27802,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K +46,Private,275792,Bachelors,13,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +62,Federal-gov,162876,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,197600,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +50,Private,134247,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +18,Private,179597,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K +71,Private,148003,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,1911,38,United-States,>50K +30,Private,185177,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,22,United-States,<=50K +51,Private,133069,10th,6,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,177154,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,>50K +41,State-gov,29324,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +38,State-gov,54911,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,10,United-States,<=50K +49,Private,219611,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,>50K +42,State-gov,200294,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +53,Private,177063,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +21,Private,140001,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K +19,Private,237433,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,4416,0,40,United-States,<=50K +43,State-gov,99185,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Self-emp-not-inc,52291,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,7688,0,45,United-States,>50K +30,Private,247328,HS-grad,9,Separated,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K +63,Self-emp-not-inc,388594,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +53,Local-gov,130730,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,<=50K +23,Private,115458,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,113866,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +61,Private,284710,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,45,Columbia,>50K +60,Local-gov,168381,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +32,Private,167063,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,33794,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,>50K +36,Private,263574,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +24,Private,95552,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,245724,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3818,0,44,United-States,<=50K +59,Private,152731,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,366876,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,203488,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +38,Private,30529,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3411,0,40,United-States,<=50K +57,Private,201159,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +64,Self-emp-inc,182158,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K +48,Private,443377,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +28,Private,101618,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K +46,Self-emp-inc,132576,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1887,45,United-States,>50K +51,?,123429,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +55,Self-emp-inc,147098,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,2444,60,United-States,>50K +44,Private,30424,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,1980,40,United-States,<=50K +50,Private,68898,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,158864,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K +27,Federal-gov,180103,Assoc-voc,11,Never-married,Tech-support,Unmarried,Black,Male,1151,0,40,United-States,<=50K +52,Private,317625,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,80933,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,107373,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,>50K +32,Self-emp-not-inc,220148,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +44,Self-emp-inc,63503,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,Greece,>50K +63,Private,210350,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,32,Mexico,<=50K +60,Private,194589,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +55,Private,200453,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +77,Self-emp-not-inc,101575,12th,8,Divorced,Transport-moving,Not-in-family,White,Male,0,0,12,United-States,<=50K +55,Private,201232,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +51,Private,168553,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +35,Private,166606,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,?,104756,HS-grad,9,Married-AF-spouse,?,Wife,White,Female,0,1651,42,United-States,<=50K +33,Private,106014,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,100882,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,47,United-States,>50K +52,State-gov,108836,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,>50K +50,Private,271493,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Local-gov,204629,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,Canada,>50K +24,Private,153078,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +44,Private,148316,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,293485,HS-grad,9,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,32,United-States,<=50K +61,Local-gov,257105,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +60,Private,248160,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +18,?,104704,11th,7,Never-married,?,Own-child,Black,Male,0,0,25,United-States,<=50K +47,Private,209057,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,>50K +30,Federal-gov,243233,Some-college,10,Married-civ-spouse,Armed-Forces,Husband,White,Male,0,0,48,United-States,>50K +44,Private,204314,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,38,United-States,>50K +60,Private,108969,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +44,Private,103397,HS-grad,9,Divorced,Handlers-cleaners,Other-relative,White,Female,0,0,40,United-States,<=50K +33,Private,198452,Bachelors,13,Separated,Tech-support,Unmarried,White,Female,5455,0,40,United-States,<=50K +38,Private,216572,HS-grad,9,Separated,Priv-house-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K +42,Private,311920,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1485,17,United-States,>50K +45,Self-emp-inc,363298,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,45,United-States,>50K +40,Private,146906,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +40,Private,339814,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +60,Private,169408,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +40,Self-emp-not-inc,308296,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +45,Private,59380,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Self-emp-not-inc,195634,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,10520,0,20,United-States,>50K +31,Federal-gov,180656,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K +19,Private,144793,11th,7,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +24,Local-gov,56820,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Private,41414,9th,5,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +28,Self-emp-not-inc,160731,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +31,Private,175778,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,230238,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,46,United-States,<=50K +39,State-gov,372130,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,5013,0,56,United-States,<=50K +27,Private,167501,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +39,Private,141029,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +45,Private,135525,Masters,14,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +21,Private,522881,Assoc-voc,11,Never-married,Exec-managerial,Other-relative,White,Male,0,0,40,Mexico,<=50K +67,Private,162009,10th,6,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,16,United-States,<=50K +28,Private,365745,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,68393,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,46,United-States,<=50K +48,Private,203576,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +24,State-gov,138513,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K +66,?,188686,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,4,United-States,<=50K +23,Private,39551,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,127366,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +21,Private,183747,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +30,Private,136331,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,81794,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +40,Private,222596,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +39,Private,108943,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,189092,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K +33,Private,152109,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +36,Private,195565,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +53,Private,255927,Bachelors,13,Widowed,Adm-clerical,Unmarried,White,Female,0,0,52,United-States,<=50K +32,Private,100734,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +52,Local-gov,266433,Some-college,10,Widowed,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,158672,11th,7,Separated,Other-service,Not-in-family,White,Male,0,0,38,Puerto-Rico,<=50K +35,Private,102268,12th,8,Divorced,Protective-serv,Other-relative,White,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,228399,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +28,Private,298510,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +75,Self-emp-inc,126225,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +43,Private,228456,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +22,Self-emp-inc,437161,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +43,Federal-gov,183608,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +40,Local-gov,174395,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +29,Private,221366,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,421010,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +44,Private,245333,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +33,Local-gov,352277,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,3103,0,45,United-States,>50K +38,Private,29874,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,>50K +29,Private,77322,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K +34,Private,260560,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +27,Self-emp-inc,217848,12th,8,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +20,Private,283731,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,State-gov,190759,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,State-gov,109567,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +19,Self-emp-not-inc,209826,Some-college,10,Never-married,Farming-fishing,Own-child,White,Female,0,0,32,United-States,<=50K +27,Private,232801,10th,6,Divorced,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K +41,Private,154374,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K +35,Self-emp-inc,126738,Assoc-acdm,12,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K +26,Private,202156,HS-grad,9,Married-civ-spouse,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +32,Private,195447,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +23,?,113301,11th,7,Separated,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +23,Private,189203,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K +21,Private,223019,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +58,Private,195878,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,24,Cuba,<=50K +58,Private,163150,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,28,United-States,<=50K +19,Self-emp-not-inc,139278,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +29,Private,196494,Some-college,10,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,36,United-States,<=50K +25,Federal-gov,303704,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,304082,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Peru,<=50K +18,Private,106943,11th,7,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K +23,Private,220993,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +52,Private,83984,Some-college,10,Married-civ-spouse,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +23,State-gov,340605,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,12,United-States,<=50K +18,Private,379710,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +39,Private,145933,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,55,United-States,>50K +34,Self-emp-not-inc,208068,9th,5,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Guatemala,<=50K +39,Private,172718,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,53285,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,139793,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,3418,0,38,United-States,<=50K +68,?,365350,5th-6th,3,Married-spouse-absent,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +32,Private,144064,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +29,Private,182676,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,38,Mexico,<=50K +29,Private,108574,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +31,Self-emp-not-inc,163845,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,344804,5th-6th,3,Married-spouse-absent,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K +30,State-gov,252818,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Local-gov,114231,10th,6,Widowed,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +42,Private,111895,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K +52,Private,128814,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K +37,Private,168941,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +27,Private,212578,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,1721,20,United-States,<=50K +32,?,251120,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K +19,Private,192773,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K +37,State-gov,180667,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,186172,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +33,Private,309590,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,Jamaica,<=50K +40,Private,34178,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,>50K +44,Private,103759,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +34,State-gov,137900,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,>50K +60,Private,223911,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +48,Private,55720,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,2407,0,40,United-States,<=50K +39,Private,123535,11th,7,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,Guatemala,<=50K +24,Private,479296,9th,5,Never-married,Sales,Own-child,White,Male,0,0,48,United-States,<=50K +65,?,263125,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,2290,0,27,United-States,<=50K +63,?,174817,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K +28,Private,134890,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +33,Private,183887,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,1902,46,United-States,>50K +28,Private,55360,HS-grad,9,Never-married,Sales,Other-relative,Black,Male,0,0,40,United-States,<=50K +34,Private,113211,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +25,Private,224203,11th,7,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,<=50K +74,?,132112,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,48,United-States,<=50K +28,Private,113635,12th,8,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,52262,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Local-gov,202300,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +19,Private,307761,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +48,Private,324655,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Private,23336,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +26,Private,206199,11th,7,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +38,Federal-gov,365430,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +53,Private,42740,Some-college,10,Separated,Other-service,Own-child,White,Female,0,0,39,United-States,<=50K +30,Private,160594,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +53,Self-emp-inc,202069,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,30,United-States,<=50K +22,?,142875,10th,6,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K +41,Self-emp-inc,60414,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,99,United-States,>50K +42,Private,340885,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +22,Private,194096,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +27,State-gov,222506,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,60,United-States,<=50K +44,Private,55191,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +58,Private,88572,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +28,Private,216757,Doctorate,16,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K +48,Private,57534,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +43,?,96321,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +41,Self-emp-not-inc,201908,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Local-gov,237868,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,285570,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,187625,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +24,Private,376755,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +56,Local-gov,137078,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,175943,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +27,Private,211208,11th,7,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,105821,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,36,United-States,<=50K +49,Private,205694,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,Canada,<=50K +39,Private,148485,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +28,Private,142264,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,125892,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +66,Private,250226,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,16,United-States,<=50K +19,Private,300679,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K +18,Private,112626,Some-college,10,Never-married,Priv-house-serv,Own-child,White,Female,0,0,15,United-States,<=50K +47,Private,153883,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,7688,0,45,United-States,>50K +48,Private,103648,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,41,United-States,<=50K +26,State-gov,162487,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,?,<=50K +49,Local-gov,331650,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,9562,0,32,United-States,>50K +50,Self-emp-inc,171338,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K +47,Self-emp-not-inc,178319,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,42,United-States,>50K +30,Private,217460,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,182653,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,20,United-States,<=50K +70,?,152837,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,20,United-States,<=50K +47,Private,459189,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +52,Private,87858,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,>50K +32,Private,125279,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,99,United-States,<=50K +39,Self-emp-not-inc,169542,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K +47,Private,363418,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,England,>50K +42,Private,198282,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,104620,Masters,14,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,15,United-States,<=50K +29,Private,176137,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +27,?,168347,HS-grad,9,Separated,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +40,Private,191814,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K +42,Local-gov,150533,Masters,14,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,35,United-States,>50K +28,Private,115677,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1902,40,United-States,>50K +19,Private,182590,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +30,Private,239648,Some-college,10,Never-married,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Male,0,0,40,Cambodia,<=50K +71,Private,139031,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Federal-gov,141340,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +64,Private,170645,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2105,0,40,United-States,<=50K +44,Local-gov,241506,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K +72,Private,163921,Some-college,10,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,20,United-States,<=50K +64,Self-emp-not-inc,104958,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K +51,Private,144284,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,181139,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +55,Private,209962,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +34,Private,87218,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +36,Private,182189,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,196337,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +25,Private,238605,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +40,Private,106501,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,2829,0,50,United-States,<=50K +24,Private,172169,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,242922,HS-grad,9,Never-married,Tech-support,Not-in-family,Black,Male,0,0,35,United-States,<=50K +56,Private,257555,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +25,Private,192302,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +38,Self-emp-inc,115487,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +22,Private,70160,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,410351,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K +25,Private,236421,12th,8,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +36,Private,196662,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,Puerto-Rico,<=50K +50,Self-emp-not-inc,203004,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,99999,0,60,United-States,>50K +22,Private,200819,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,222866,10th,6,Never-married,Farming-fishing,Other-relative,White,Male,0,0,40,United-States,<=50K +20,Private,204160,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K +54,Private,141707,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K +32,Private,123157,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,30,?,<=50K +28,Private,219863,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +44,?,29841,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,50,United-States,<=50K +59,Private,35723,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,99999,0,40,United-States,>50K +52,Private,163948,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +19,?,255117,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +39,Private,100032,HS-grad,9,Married-civ-spouse,Protective-serv,Wife,White,Female,0,0,15,United-States,>50K +22,Private,33087,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +24,?,324469,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,38,United-States,<=50K +57,Private,337001,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +18,Private,151747,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +31,Local-gov,85057,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,>50K +25,Private,257910,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +37,Private,94331,12th,8,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Private,250261,1st-4th,2,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,55,Mexico,<=50K +32,Private,97359,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +53,State-gov,121294,7th-8th,4,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,45,Poland,<=50K +49,Self-emp-inc,211020,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +34,?,165295,7th-8th,4,Separated,?,Unmarried,White,Female,0,0,40,Mexico,<=50K +65,Self-emp-inc,116057,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,6723,0,40,United-States,<=50K +52,Private,469005,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,Mexico,<=50K +30,Local-gov,197886,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,379917,Assoc-voc,11,Never-married,Transport-moving,Not-in-family,White,Male,0,0,32,United-States,<=50K +28,Private,30912,Assoc-acdm,12,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,206889,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,87490,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +40,Local-gov,241851,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +42,Private,155899,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +25,Federal-gov,253135,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,?,<=50K +77,Local-gov,120408,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,20,United-States,<=50K +64,Private,77884,Assoc-voc,11,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +43,Private,162887,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +30,Private,154843,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,India,<=50K +43,Local-gov,115511,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2002,40,United-States,<=50K +40,Private,121492,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,48,United-States,<=50K +31,Private,103596,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +25,Private,457070,7th-8th,4,Divorced,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K +19,Private,73461,HS-grad,9,Never-married,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K +41,Self-emp-inc,153078,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,1887,70,South,>50K +51,Private,194788,10th,6,Divorced,Adm-clerical,Other-relative,White,Female,0,0,30,United-States,<=50K +31,Self-emp-not-inc,203181,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +35,Private,230279,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +52,Private,89041,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +41,State-gov,92717,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,1504,40,United-States,<=50K +27,Private,257033,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,60,United-States,<=50K +40,Private,145166,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4064,0,40,United-States,<=50K +38,Private,20308,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +34,?,203784,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,38353,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,133373,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,>50K +60,?,167978,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,166302,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +17,Private,333304,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +31,Local-gov,265706,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Male,4650,0,40,United-States,<=50K +65,Self-emp-not-inc,111916,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,10,United-States,>50K +62,State-gov,213700,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +39,Private,276559,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,2444,45,United-States,>50K +36,Private,36989,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,181566,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4508,0,40,United-States,<=50K +23,Private,202920,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Germany,<=50K +32,Self-emp-not-inc,24529,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K +22,Private,137320,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +66,?,106791,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,160510,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +34,?,112584,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,233779,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +54,State-gov,276005,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +36,Self-emp-inc,192251,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,1902,15,United-States,>50K +70,?,308689,5th-6th,3,Married-civ-spouse,?,Husband,Black,Male,0,0,40,Cuba,<=50K +50,Private,274528,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +17,Private,23856,11th,7,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K +53,Private,175220,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,7688,0,48,Taiwan,>50K +41,Self-emp-not-inc,233150,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +26,Private,153169,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +59,Federal-gov,298449,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,43,United-States,<=50K +17,Private,188949,11th,7,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,157911,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +33,Private,243330,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K +40,Private,271343,Some-college,10,Separated,Tech-support,Own-child,White,Female,0,0,32,United-States,<=50K +48,Private,45564,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Male,4650,0,50,United-States,<=50K +47,Private,262043,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,103323,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Self-emp-not-inc,96480,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,60,United-States,>50K +47,Private,154117,HS-grad,9,Separated,Craft-repair,Other-relative,White,Female,0,0,40,United-States,<=50K +41,Private,151856,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,132053,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,1719,40,United-States,<=50K +29,Private,199118,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Guatemala,<=50K +36,Self-emp-not-inc,119272,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,<=50K +18,Private,209792,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,185084,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,>50K +41,Private,230931,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K +23,Private,162282,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +39,Self-emp-not-inc,185366,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K +46,Private,93557,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,160428,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,43,United-States,<=50K +53,Private,159650,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +54,Local-gov,137678,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +48,Self-emp-not-inc,56841,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,33124,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Female,0,0,35,United-States,<=50K +31,Private,219117,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,5455,0,60,United-States,<=50K +43,Private,208045,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +43,Private,128578,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7688,0,60,United-States,>50K +28,Private,351731,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K +46,Private,201694,Assoc-acdm,12,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,205152,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +73,?,30713,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K +25,Private,190107,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +23,Federal-gov,244480,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,15,United-States,<=50K +32,Private,347112,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +37,Federal-gov,106297,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +36,Private,128516,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +27,Private,55950,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +29,Private,324505,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,130760,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +24,Local-gov,174413,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1974,40,United-States,<=50K +29,?,20877,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,35,United-States,<=50K +22,Private,144238,11th,7,Never-married,Farming-fishing,Own-child,White,Female,0,0,38,United-States,<=50K +47,Private,193047,Doctorate,16,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +43,Private,300099,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +65,?,369902,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,8,United-States,<=50K +56,Self-emp-not-inc,42166,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,171924,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Canada,>50K +50,Private,201984,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +29,Private,306420,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +32,Self-emp-not-inc,46746,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K +37,Private,185325,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +30,Private,201697,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,181372,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +39,Private,112077,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,370057,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,72591,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Local-gov,105803,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +20,Private,198478,HS-grad,9,Never-married,Farming-fishing,Other-relative,White,Male,0,0,40,United-States,<=50K +33,Private,119017,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K +42,Private,138872,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,<=50K +56,Federal-gov,97213,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +40,Private,36556,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +38,State-gov,200904,10th,6,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +49,Private,186256,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,30,United-States,<=50K +18,Private,115815,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,England,<=50K +42,Private,308770,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K +25,Local-gov,187792,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,233571,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,1902,40,United-States,>50K +26,Private,131913,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +26,Private,31558,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,90,United-States,>50K +33,Private,255004,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,2354,0,61,United-States,<=50K +25,Local-gov,315287,Some-college,10,Never-married,Protective-serv,Other-relative,Black,Male,0,0,40,Trinadad&Tobago,<=50K +18,Private,182545,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K +59,Private,750972,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +69,Self-emp-not-inc,505365,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,6514,0,45,United-States,>50K +22,Local-gov,177475,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,203761,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +40,Self-emp-not-inc,36104,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Self-emp-inc,179708,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Self-emp-inc,77392,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +73,?,86709,Some-college,10,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,0,0,38,United-States,<=50K +59,Local-gov,173992,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +20,Private,119665,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,188391,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,46,United-States,<=50K +51,Private,326005,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,England,>50K +24,Private,203203,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +59,Private,64102,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,169188,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,35,United-States,<=50K +45,Private,385793,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K +25,Private,390537,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,25,El-Salvador,<=50K +29,Private,115677,11th,7,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,42,United-States,<=50K +22,Private,230248,Assoc-acdm,12,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +66,?,59056,10th,6,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +72,Private,108038,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,60,Cuba,>50K +39,Local-gov,282461,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +36,Private,184659,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +65,Private,182470,Assoc-voc,11,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,20,United-States,<=50K +63,Private,458609,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,3674,0,30,United-States,<=50K +58,Private,104476,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,1092,40,United-States,<=50K +27,Private,200802,Assoc-voc,11,Separated,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +58,Private,170608,10th,6,Separated,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,Private,197322,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,118358,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +21,?,520231,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +61,Self-emp-not-inc,198017,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,?,<=50K +29,Private,131045,Assoc-voc,11,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +19,?,272166,Some-college,10,Never-married,?,Own-child,White,Male,0,1602,30,United-States,<=50K +30,Private,110083,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,335569,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,167159,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +50,Private,170326,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,319052,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Wife,Asian-Pac-Islander,Female,0,0,37,Philippines,<=50K +57,Private,174662,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,110732,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,50,United-States,<=50K +27,Federal-gov,409815,Some-college,10,Divorced,Adm-clerical,Other-relative,Black,Female,0,0,50,United-States,<=50K +28,Private,79874,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,37,United-States,<=50K +49,Private,116641,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,35,United-States,>50K +33,Private,87209,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +64,Local-gov,152172,10th,6,Married-civ-spouse,Machine-op-inspct,Wife,White,Male,0,0,40,?,<=50K +46,Self-emp-not-inc,142222,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,1151,0,60,United-States,<=50K +50,Local-gov,120521,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,50,United-States,>50K +43,Self-emp-not-inc,247752,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +26,Private,34161,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,589155,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +50,Private,149784,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,402522,1st-4th,2,Divorced,Farming-fishing,Unmarried,White,Male,0,0,40,Thailand,<=50K +28,Private,228346,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +21,Private,415755,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,289653,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,45,United-States,>50K +17,Private,165018,10th,6,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K +19,Private,322866,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +45,Self-emp-not-inc,244813,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +27,Private,538193,11th,7,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,50,United-States,<=50K +45,Private,256367,12th,8,Divorced,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K +46,Private,95864,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +57,Self-emp-not-inc,291167,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,126569,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Poland,<=50K +34,Private,128016,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,99999,0,40,United-States,>50K +18,?,323584,Some-college,10,Never-married,?,Own-child,White,Male,0,0,10,United-States,<=50K +65,?,115431,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +26,Private,246156,10th,6,Never-married,Craft-repair,Other-relative,White,Male,0,0,24,Honduras,<=50K +44,Private,346081,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +38,Local-gov,156383,Some-college,10,Never-married,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K +49,Private,151267,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +41,Local-gov,249039,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +52,Federal-gov,157454,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,143540,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +72,State-gov,120733,7th-8th,4,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +48,Private,344381,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,42,United-States,>50K +32,Private,149787,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +22,Private,268525,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +24,Private,396099,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,35,United-States,<=50K +24,Private,221442,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,36,United-States,<=50K +55,Private,115198,9th,5,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,48,United-States,<=50K +48,Federal-gov,102359,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +42,Local-gov,298885,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +34,Private,93213,Masters,14,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +40,Private,130760,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,<=50K +29,?,236834,Some-college,10,Divorced,?,Own-child,White,Female,0,0,15,United-States,<=50K +39,Self-emp-inc,31709,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K +45,Private,192053,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +21,Private,95918,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,43,Germany,<=50K +36,Self-emp-inc,132879,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,1887,40,United-States,>50K +28,Private,64940,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +57,Private,106910,HS-grad,9,Divorced,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +22,Private,210474,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Local-gov,393965,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K +23,Local-gov,117789,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +35,Self-emp-not-inc,134498,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,>50K +28,Private,212068,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1980,40,United-States,<=50K +27,Private,169544,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +76,?,32995,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,5,United-States,<=50K +37,Private,261241,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,1485,50,United-States,<=50K +43,Private,145784,HS-grad,9,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,?,<=50K +33,Private,252646,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +56,Private,161944,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +50,Self-emp-inc,249644,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +35,Private,195081,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +36,Private,428251,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +59,Self-emp-not-inc,198145,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +42,Private,348059,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +21,Private,43587,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +24,Private,318612,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,1504,40,United-States,<=50K +17,?,235661,10th,6,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +29,Private,129528,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +61,Private,200427,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +35,Private,188243,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,48,United-States,<=50K +56,Self-emp-not-inc,306633,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,85019,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K +22,?,356286,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,10,United-States,<=50K +45,Private,102771,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +40,Local-gov,34739,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,36,United-States,<=50K +22,?,201959,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +28,Private,126743,5th-6th,3,Never-married,Other-service,Other-relative,White,Male,2176,0,52,Mexico,<=50K +46,Local-gov,85341,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,56,United-States,<=50K +57,Private,275943,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,82823,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,5013,0,30,United-States,<=50K +30,Private,183388,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +21,Private,116489,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +62,Self-emp-not-inc,215789,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +19,Private,365871,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,32,United-States,<=50K +63,Local-gov,199275,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,8614,0,38,United-States,>50K +39,Self-emp-not-inc,34111,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +72,?,314567,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,8,United-States,<=50K +40,Self-emp-inc,102576,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,55,Trinadad&Tobago,<=50K +27,Private,103524,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,35,United-States,<=50K +47,Self-emp-not-inc,114222,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K +28,Private,246933,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,107812,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +26,Self-emp-not-inc,109162,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K +59,Private,112798,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,<=50K +33,Private,30612,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,105994,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,Private,113090,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +30,Private,26252,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +31,Private,49469,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K +24,Private,172169,Some-college,10,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,30,United-States,<=50K +36,Private,151029,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K +46,Private,134242,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,State-gov,87282,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +19,Private,84250,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K +33,Private,76107,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,60,United-States,>50K +59,Self-emp-inc,36085,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K +32,Private,220333,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,46,United-States,>50K +58,Private,105363,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Portugal,<=50K +19,Private,198668,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,47,United-States,<=50K +43,Private,157473,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,126568,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Self-emp-inc,220896,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +57,Federal-gov,236048,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,34218,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,99999,0,80,United-States,>50K +62,Private,155915,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,139684,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K +34,Private,23778,Bachelors,13,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +24,Private,236804,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +78,Private,454321,1st-4th,2,Widowed,Handlers-cleaners,Other-relative,White,Male,0,0,20,Nicaragua,<=50K +43,Private,229148,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,50,Outlying-US(Guam-USVI-etc),<=50K +60,Local-gov,119986,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +39,Local-gov,455399,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,15024,0,40,United-States,>50K +21,Private,301694,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,Mexico,<=50K +64,?,155142,HS-grad,9,Widowed,?,Not-in-family,Black,Male,0,0,20,United-States,<=50K +27,Private,259652,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,State-gov,156642,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,39,United-States,<=50K +37,Private,94208,1st-4th,2,Divorced,Other-service,Unmarried,White,Female,0,0,35,Mexico,<=50K +31,Private,117719,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Portugal,<=50K +27,Local-gov,100817,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +31,Private,144990,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +37,Self-emp-inc,198841,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +43,Private,223881,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,United-States,>50K +18,Private,264017,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,16,Canada,<=50K +23,State-gov,26842,Assoc-voc,11,Married-AF-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K +40,Private,477345,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,2057,40,Mexico,<=50K +22,Private,267412,Preschool,1,Never-married,Other-service,Own-child,Black,Female,594,0,20,Jamaica,<=50K +61,Self-emp-inc,190610,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +63,Private,281237,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +59,Private,254593,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +33,Private,159187,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,54,United-States,>50K +51,State-gov,200450,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +38,Local-gov,140854,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +52,Private,242517,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,40,United-States,>50K +47,Self-emp-not-inc,294671,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +20,State-gov,68358,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +53,Private,107096,Bachelors,13,Never-married,Sales,Unmarried,White,Male,0,1669,50,United-States,<=50K +43,Private,244419,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +26,Self-emp-not-inc,195636,10th,6,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,75,United-States,>50K +39,Private,368586,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Female,0,0,37,Puerto-Rico,<=50K +30,Private,215808,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,60,United-States,<=50K +45,Private,165822,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +25,Private,193379,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,120121,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +25,Local-gov,311603,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K +48,Private,323798,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,38,United-States,>50K +32,Private,253890,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +67,?,105252,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +37,Private,220696,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,194097,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,>50K +28,Private,181291,Some-college,10,Married-civ-spouse,Other-service,Own-child,White,Female,7688,0,40,United-States,>50K +28,Private,258594,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +28,Private,138976,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,48,United-States,<=50K +22,Private,81145,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,250853,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,?,365739,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,257863,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +27,Private,203697,Masters,14,Never-married,Tech-support,Own-child,White,Male,0,0,50,United-States,<=50K +54,Private,87205,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +66,Self-emp-not-inc,195161,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,?,<=50K +41,Private,470486,1st-4th,2,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,1719,40,Mexico,<=50K +46,Local-gov,93557,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,50,United-States,>50K +39,Private,107991,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +51,Private,63081,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +26,Private,73988,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,136080,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,50,United-States,<=50K +38,State-gov,49115,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,27,United-States,<=50K +30,Private,314649,HS-grad,9,Married-spouse-absent,Farming-fishing,Unmarried,Asian-Pac-Islander,Male,0,0,40,?,<=50K +18,Private,166224,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +44,?,118484,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,80,United-States,<=50K +56,Local-gov,291529,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +41,Self-emp-not-inc,252392,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,96,Mexico,<=50K +42,Private,86912,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,193537,9th,5,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,50,Puerto-Rico,<=50K +33,Private,83231,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +43,Private,325461,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K +21,Private,36011,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,274869,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,178322,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K +38,Private,67666,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,38,United-States,<=50K +33,Private,153005,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,138269,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +33,Private,265204,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +43,Private,437318,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +38,Private,208109,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K +50,Self-emp-not-inc,91103,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,51,United-States,>50K +57,State-gov,388225,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +76,Self-emp-not-inc,42162,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,2,United-States,<=50K +52,Self-emp-not-inc,417227,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K +36,State-gov,180220,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,187560,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +39,Private,127573,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,2202,0,45,United-States,<=50K +51,Federal-gov,68898,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +31,Private,78662,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,40,Mexico,<=50K +56,Private,158776,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +28,Private,164575,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,328301,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Private,213897,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,50,Japan,>50K +40,Private,230684,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +23,Private,381679,Some-college,10,Never-married,Tech-support,Other-relative,White,Female,0,0,40,United-States,<=50K +44,Local-gov,360884,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +36,State-gov,256992,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +31,Private,112115,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,113577,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,189382,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +45,Private,201080,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +46,Private,344415,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +57,Private,201232,HS-grad,9,Married-civ-spouse,Priv-house-serv,Husband,White,Male,0,0,30,United-States,<=50K +20,Private,332194,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,20,United-States,<=50K +30,Private,216864,9th,5,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +60,Private,290922,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,27,United-States,<=50K +42,Local-gov,223548,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,109419,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,8614,0,45,United-States,>50K +27,Private,135296,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +59,State-gov,100270,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +18,Private,99497,12th,8,Never-married,Other-service,Own-child,Other,Female,0,0,30,United-States,<=50K +26,?,223665,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,84,United-States,<=50K +48,Self-emp-inc,341762,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +41,Private,236483,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,?,311570,HS-grad,9,Married-civ-spouse,?,Other-relative,White,Female,0,0,32,United-States,<=50K +36,Private,588739,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,India,<=50K +44,Self-emp-inc,79521,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,15024,0,55,United-States,>50K +36,Private,327435,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +32,Private,229636,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,5013,0,60,United-States,<=50K +26,Private,124483,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,25,India,<=50K +58,Private,218764,Assoc-voc,11,Widowed,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K +39,State-gov,178100,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,?,197057,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,30,United-States,<=50K +39,Private,191161,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,55,United-States,<=50K +65,Private,266828,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,1848,0,40,United-States,<=50K +29,Private,251526,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,20,United-States,<=50K +22,?,145964,HS-grad,9,Never-married,?,Unmarried,White,Male,0,0,40,United-States,<=50K +23,Private,307149,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,25,United-States,<=50K +36,Private,37238,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,42,United-States,<=50K +32,Private,129020,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,209432,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +38,Private,139364,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K +25,Federal-gov,169124,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,116391,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +31,Private,176025,HS-grad,9,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +66,Self-emp-not-inc,44712,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,15,United-States,<=50K +35,Self-emp-not-inc,190759,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,185692,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +17,Private,80576,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +31,Private,282173,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +20,Private,187158,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,214468,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +59,Self-emp-not-inc,185410,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K +37,Private,87757,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +42,Private,449578,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +31,Private,309028,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,155293,12th,8,Divorced,Sales,Not-in-family,White,Female,0,1762,45,United-States,<=50K +46,Private,32825,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +36,Private,216845,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +45,State-gov,149640,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,>50K +19,State-gov,140985,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +38,Private,218188,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +27,State-gov,187327,HS-grad,9,Separated,Protective-serv,Not-in-family,White,Male,0,0,45,United-States,<=50K +33,Private,182511,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +55,Self-emp-not-inc,157639,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,58,United-States,<=50K +46,Local-gov,258498,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,87632,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,228394,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,36,United-States,<=50K +59,State-gov,200732,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,Philippines,>50K +36,Private,49657,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +27,Local-gov,106179,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +21,Private,135267,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K +65,?,486436,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,>50K +29,Private,69757,Bachelors,13,Divorced,Exec-managerial,Other-relative,White,Female,0,0,50,United-States,<=50K +53,Private,190319,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,1485,40,Thailand,>50K +20,Private,188409,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +54,Private,181246,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,103573,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,180725,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +26,State-gov,34862,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,38,?,<=50K +55,Self-emp-inc,275236,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +40,Self-emp-not-inc,76487,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +37,Federal-gov,75073,Assoc-acdm,12,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,42,United-States,<=50K +23,Private,231929,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,186410,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K +42,Self-emp-not-inc,344624,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,99,United-States,>50K +66,Private,97847,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K +30,Private,387521,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +25,?,193511,Bachelors,13,Never-married,?,Own-child,White,Female,0,0,35,El-Salvador,<=50K +20,Private,325033,12th,8,Never-married,Other-service,Own-child,Black,Male,0,0,35,United-States,>50K +37,Private,285637,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,50,United-States,<=50K +20,Private,186014,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K +27,Private,203160,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +20,?,190290,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K +33,Private,219553,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +53,Private,290882,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +54,Private,133403,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1902,35,United-States,<=50K +33,Private,150154,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,203076,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,158592,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +23,Federal-gov,215115,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +20,Private,117476,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,159269,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,18,United-States,<=50K +24,Private,189924,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Female,0,0,60,United-States,<=50K +32,Local-gov,226296,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +38,Private,103886,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Federal-gov,148508,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,79586,Some-college,10,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,35,India,>50K +40,?,95049,Assoc-voc,11,Separated,?,Own-child,White,Female,0,0,40,?,<=50K +45,Self-emp-inc,192835,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +21,Private,316184,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K +49,Private,132476,Doctorate,16,Divorced,Tech-support,Unmarried,White,Male,7430,0,40,United-States,>50K +44,Private,76487,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,302712,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +42,Private,225193,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,102092,11th,7,Widowed,Craft-repair,Not-in-family,White,Male,2174,0,40,United-States,<=50K +51,Private,173754,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +20,Private,38238,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +41,Private,212027,11th,7,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +25,Private,173593,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,75,United-States,<=50K +27,Local-gov,132718,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K +23,Private,103588,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +37,Local-gov,75387,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,38444,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,10,United-States,<=50K +21,Private,35603,HS-grad,9,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,11,United-States,<=50K +24,Private,588484,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,594,0,40,United-States,<=50K +62,?,191118,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +70,?,88638,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,8,United-States,<=50K +61,Private,27086,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +63,Private,184319,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,24,United-States,<=50K +31,Private,307375,Some-college,10,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +17,Private,93511,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +23,Private,32950,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,313945,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Local-gov,275517,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,72,United-States,<=50K +55,Private,132145,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +37,Self-emp-not-inc,377798,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +48,Private,198000,Bachelors,13,Never-married,Sales,Other-relative,White,Female,0,0,38,United-States,>50K +67,Private,166591,HS-grad,9,Divorced,Priv-house-serv,Unmarried,Black,Female,1848,0,99,United-States,<=50K +72,Self-emp-not-inc,117030,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +31,Local-gov,275369,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K +24,Private,300584,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +27,Local-gov,230997,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +32,Private,73199,12th,8,Never-married,Farming-fishing,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +61,Private,362068,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +34,Private,162604,HS-grad,9,Never-married,Craft-repair,Other-relative,Black,Male,0,0,40,United-States,<=50K +40,Private,86143,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +39,Private,116477,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Self-emp-not-inc,102308,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,35,United-States,>50K +57,Self-emp-inc,199067,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,90,Greece,>50K +47,Private,205100,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +38,Private,127493,Assoc-acdm,12,Widowed,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +77,Self-emp-not-inc,34761,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,221480,Some-college,10,Never-married,Tech-support,Unmarried,White,Female,0,0,8,United-States,<=50K +37,Self-emp-not-inc,216473,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +43,Self-emp-inc,147206,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,27828,0,45,United-States,>50K +50,Private,162868,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K +68,Self-emp-not-inc,335701,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Private,250322,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,Local-gov,182856,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,10520,0,45,United-States,>50K +24,Private,97743,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,37,United-States,<=50K +42,Private,227065,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,<=50K +51,Private,59840,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,2174,0,40,United-States,<=50K +26,Private,140446,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,United-States,<=50K +32,Federal-gov,86150,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,1977,40,United-States,>50K +51,Private,147876,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +26,Private,219199,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,28497,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,8,United-States,<=50K +27,Private,405177,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +29,Private,320451,Bachelors,13,Married-spouse-absent,Sales,Other-relative,Asian-Pac-Islander,Male,0,0,40,?,<=50K +71,Self-emp-not-inc,30661,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,6514,0,40,United-States,>50K +30,Local-gov,38268,HS-grad,9,Separated,Other-service,Unmarried,White,Male,0,0,40,United-States,>50K +42,Private,199900,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K +39,Self-emp-inc,172538,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +17,Private,194517,11th,7,Never-married,Farming-fishing,Own-child,White,Female,0,0,18,United-States,<=50K +20,Private,129024,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +37,Private,203828,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +40,Private,146659,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,29261,Assoc-acdm,12,Never-married,Other-service,Other-relative,White,Male,0,0,42,United-States,<=50K +19,Private,366109,10th,6,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K +29,Private,212091,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,202872,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,36,United-States,>50K +31,Private,373903,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +41,Private,289403,HS-grad,9,Divorced,Tech-support,Not-in-family,Black,Male,0,0,40,?,<=50K +21,Private,60552,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +46,Private,188325,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +21,?,398480,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +37,Federal-gov,254202,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,27828,0,50,United-States,>50K +41,Self-emp-inc,277858,Bachelors,13,Widowed,Exec-managerial,Not-in-family,Black,Female,0,0,45,United-States,<=50K +50,Private,102346,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,36,?,<=50K +34,Private,226629,12th,8,Separated,Sales,Unmarried,White,Female,0,0,34,United-States,<=50K +47,Private,219632,1st-4th,2,Widowed,Machine-op-inspct,Unmarried,White,Male,0,0,40,Mexico,<=50K +21,Private,449101,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Private,330535,Doctorate,16,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,>50K +38,Private,202937,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +43,Federal-gov,269733,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +40,Self-emp-not-inc,355856,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +48,Self-emp-inc,275100,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,Greece,>50K +30,State-gov,136997,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,136931,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,38,Thailand,<=50K +31,?,346736,HS-grad,9,Never-married,?,Other-relative,White,Female,0,0,45,United-States,<=50K +30,Local-gov,264936,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,269722,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,38,United-States,<=50K +28,Private,251905,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K +57,Private,180636,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,116915,Some-college,10,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +40,Self-emp-not-inc,182516,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +49,Local-gov,199862,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2179,40,United-States,<=50K +44,Private,127482,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,7688,0,40,United-States,>50K +44,Private,142968,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +18,Private,115258,10th,6,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +45,Private,190822,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,31,United-States,<=50K +50,Local-gov,68898,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +17,Self-emp-inc,151999,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K +28,Self-emp-not-inc,236471,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Local-gov,29075,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Amer-Indian-Eskimo,Female,5013,0,40,United-States,<=50K +43,State-gov,186990,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,37,United-States,<=50K +48,Private,210369,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +57,?,179644,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,0,5,United-States,<=50K +28,Private,119128,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,188386,HS-grad,9,Divorced,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,120645,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +58,Local-gov,303176,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,358434,Bachelors,13,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +57,Private,36091,HS-grad,9,Separated,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +48,Private,250648,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +49,Private,131918,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +40,Self-emp-not-inc,151504,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +41,Private,161880,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,50,United-States,<=50K +45,Private,123681,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,94090,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +22,?,129980,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,25,United-States,<=50K +50,Private,237258,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,27828,0,48,United-States,>50K +65,Self-emp-not-inc,147377,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,16,United-States,<=50K +36,Federal-gov,253627,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Puerto-Rico,>50K +63,?,528618,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,27881,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +28,Private,79874,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,156981,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +46,Local-gov,195418,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K +37,Private,175185,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,273796,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,>50K +37,State-gov,373699,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +31,Private,82508,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,162551,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Hong,<=50K +24,Private,166297,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,25,United-States,<=50K +25,Local-gov,100125,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,175690,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +45,Private,184441,7th-8th,4,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,42,United-States,<=50K +28,Self-emp-inc,167737,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,5178,0,40,United-States,>50K +58,Private,186121,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,177851,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +35,Private,106961,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +54,Private,419712,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +40,Local-gov,208875,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +24,Private,373628,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,1504,40,United-States,<=50K +26,Private,331861,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,England,<=50K +29,Private,249948,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +50,Private,99316,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,252570,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +17,Private,89160,12th,8,Never-married,Priv-house-serv,Own-child,White,Female,0,0,18,United-States,<=50K +25,Private,49092,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,87757,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,806552,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +45,Self-emp-not-inc,70754,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,60,United-States,>50K +28,Private,150437,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K +71,?,46836,7th-8th,4,Separated,?,Not-in-family,Black,Male,0,0,15,United-States,<=50K +34,State-gov,117186,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +49,Private,239625,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +39,Private,128483,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,60,United-States,<=50K +17,Private,53367,12th,8,Never-married,Other-service,Other-relative,White,Female,0,0,25,United-States,<=50K +20,Private,358355,9th,5,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +53,Private,139522,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,1573,40,Italy,<=50K +26,Private,93017,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,101320,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,1564,40,Canada,>50K +57,Self-emp-inc,105582,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,40,United-States,>50K +40,Private,121718,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K +19,Private,111836,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,35,United-States,<=50K +58,Private,96840,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Female,0,0,37,United-States,<=50K +62,Local-gov,176839,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,10,United-States,<=50K +41,Local-gov,193553,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,64,United-States,>50K +46,Private,168232,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Self-emp-not-inc,146325,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Yugoslavia,>50K +33,Private,111567,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +58,Private,478354,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K +30,Private,209768,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +27,Private,188909,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K +32,Self-emp-not-inc,321313,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +19,?,264228,Some-college,10,Never-married,?,Own-child,White,Female,0,0,12,United-States,<=50K +22,Private,345066,10th,6,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +56,Self-emp-not-inc,32855,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +33,Self-emp-inc,287372,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +36,Private,214807,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Local-gov,275110,Some-college,10,Married-civ-spouse,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K +32,Private,352089,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +33,State-gov,110171,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,1092,40,United-States,<=50K +20,Private,211391,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +51,Private,91506,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,40,United-States,>50K +52,Private,180949,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K +64,Self-emp-inc,169072,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +33,Private,264554,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +38,Private,99065,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,>50K +30,Private,201122,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +67,Self-emp-inc,323636,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,15,Canada,<=50K +37,Local-gov,184112,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +55,Private,243367,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,37,United-States,<=50K +25,State-gov,149248,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +41,Local-gov,248748,Bachelors,13,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Private,242616,Bachelors,13,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Private,207246,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1902,40,United-States,>50K +75,Self-emp-not-inc,343631,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,15,United-States,<=50K +53,Private,403121,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +36,Self-emp-not-inc,184435,11th,7,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,181405,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +67,Self-emp-not-inc,75140,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K +29,Self-emp-not-inc,467936,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,?,<=50K +32,Self-emp-not-inc,181212,Some-college,10,Separated,Farming-fishing,Unmarried,White,Female,0,0,65,United-States,<=50K +42,Private,324421,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K +41,Private,344624,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +46,Private,98735,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K +48,Local-gov,186172,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +55,Federal-gov,107157,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +68,?,353871,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Self-emp-not-inc,175958,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K +62,Private,252134,7th-8th,4,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,Cuba,<=50K +30,Private,95923,Assoc-acdm,12,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +56,Local-gov,203250,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,296212,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,48,United-States,<=50K +22,Private,333838,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Private,345730,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +53,Federal-gov,128141,Bachelors,13,Separated,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +53,Private,249347,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,Cuba,>50K +51,Private,171914,9th,5,Widowed,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +41,Private,344519,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,13550,0,60,United-States,>50K +34,Self-emp-inc,196385,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,87546,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +40,Self-emp-not-inc,85668,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,126613,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +28,Private,239753,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Private,162796,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +52,Federal-gov,197189,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,44,United-States,>50K +33,State-gov,25806,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,20,?,<=50K +28,Private,89813,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,State-gov,142167,Masters,14,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,?,<=50K +40,Private,171589,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +60,Private,203985,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +24,Private,394191,12th,8,Never-married,Transport-moving,Own-child,White,Male,0,0,55,Germany,<=50K +50,Private,155433,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,39581,Bachelors,13,Separated,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +19,Private,305834,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Self-emp-inc,200220,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K +33,Private,229732,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Private,190333,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +51,Private,155983,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +44,Private,211351,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,4386,0,40,United-States,>50K +19,?,505168,9th,5,Never-married,?,Other-relative,White,Female,0,0,40,United-States,<=50K +49,Private,256417,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,40,Mexico,<=50K +17,?,165069,10th,6,Never-married,?,Own-child,White,Male,0,1721,40,United-States,<=50K +20,Private,249385,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,20,United-States,<=50K +53,Private,168723,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +25,Private,165866,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,20,United-States,<=50K +48,Private,48553,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,72,United-States,<=50K +27,Private,244751,HS-grad,9,Never-married,Adm-clerical,Own-child,Other,Male,0,0,40,United-States,<=50K +21,Private,228230,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +29,Private,152951,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +47,State-gov,29023,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K +48,Self-emp-not-inc,136455,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,60,United-States,<=50K +38,?,245372,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,75,United-States,>50K +19,?,155863,Some-college,10,Never-married,?,Own-child,White,Female,0,1602,30,United-States,<=50K +37,Private,126675,Some-college,10,Widowed,Machine-op-inspct,Other-relative,White,Male,0,0,40,?,<=50K +37,Private,184659,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5013,0,44,United-States,<=50K +39,Federal-gov,33289,HS-grad,9,Widowed,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,<=50K +35,Private,111377,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,103651,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K +56,Private,53481,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,238917,5th-6th,3,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,El-Salvador,<=50K +25,Private,167495,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Federal-gov,114222,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,>50K +32,Private,182323,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +24,Private,137589,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +32,Private,181091,Bachelors,13,Never-married,Sales,Own-child,White,Male,13550,0,35,United-States,>50K +41,Private,156580,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,Dominican-Republic,<=50K +32,Private,210926,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,>50K +37,Self-emp-not-inc,255503,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K +39,Private,116546,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +66,Self-emp-not-inc,34218,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +18,?,305327,Some-college,10,Never-married,?,Own-child,Other,Female,0,0,25,United-States,<=50K +23,Private,107882,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,858091,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +45,Private,79646,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K +42,Private,103089,Some-college,10,Separated,Prof-specialty,Unmarried,White,Female,1506,0,40,United-States,<=50K +40,Self-emp-not-inc,145441,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,30,United-States,<=50K +20,State-gov,117210,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,379246,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,130018,11th,7,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +40,Private,121466,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,339518,Assoc-acdm,12,Married-spouse-absent,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +33,Private,388672,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +56,Self-emp-not-inc,190091,Assoc-voc,11,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,46,United-States,<=50K +27,Private,197918,11th,7,Never-married,Craft-repair,Unmarried,Black,Male,0,0,47,United-States,<=50K +31,Private,361497,7th-8th,4,Never-married,Farming-fishing,Other-relative,White,Male,0,0,60,Portugal,<=50K +61,?,451327,Bachelors,13,Married-civ-spouse,?,Husband,Other,Male,0,0,24,United-States,>50K +22,Private,340217,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +32,Self-emp-not-inc,63516,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K +29,Private,269786,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Local-gov,63338,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +56,Private,179127,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Italy,<=50K +35,Private,124090,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,<=50K +25,Private,215188,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +22,Private,482082,11th,7,Married-civ-spouse,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Mexico,<=50K +19,Private,234725,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,289890,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,232036,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +48,Local-gov,195416,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +52,Private,22154,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,103734,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,>50K +32,Local-gov,32587,HS-grad,9,Divorced,Other-service,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +27,Private,190303,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,270488,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +31,Private,104509,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +47,Self-emp-not-inc,132589,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K +37,Private,112812,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,126441,Some-college,10,Married-spouse-absent,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Self-emp-inc,123075,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +45,Private,207955,5th-6th,3,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,40,Ecuador,<=50K +51,Private,43705,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,116968,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,Self-emp-not-inc,182142,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,74056,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +33,Self-emp-not-inc,132565,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,256796,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K +62,Self-emp-inc,191520,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,80,United-States,>50K +37,Self-emp-not-inc,33394,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +45,Local-gov,45501,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +25,Private,74389,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +34,Private,201874,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,143804,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,55,United-States,<=50K +29,Local-gov,95471,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +32,Private,267458,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,70668,10th,6,Never-married,Priv-house-serv,Other-relative,White,Female,0,0,40,United-States,<=50K +34,Local-gov,260782,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,52,United-States,>50K +50,Private,299215,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +38,Private,99156,HS-grad,9,Divorced,Sales,Unmarried,White,Male,0,0,46,United-States,<=50K +52,Federal-gov,53905,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,94210,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,48,United-States,<=50K +31,Private,116508,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +31,Private,176711,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Self-emp-not-inc,118058,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K +23,State-gov,89285,Some-college,10,Never-married,Protective-serv,Not-in-family,Other,Female,99999,0,40,United-States,>50K +52,Private,91093,Some-college,10,Divorced,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K +33,Private,204577,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,162041,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +48,Private,175615,Some-college,10,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,Japan,<=50K +40,Private,99679,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,3103,0,43,United-States,>50K +22,Private,263398,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K +55,Private,147653,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K +58,?,32521,11th,7,Married-spouse-absent,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +43,Self-emp-inc,198871,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,88,United-States,<=50K +34,Private,127651,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +19,Private,143608,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +50,Local-gov,50048,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,52,United-States,>50K +73,?,378922,HS-grad,9,Married-spouse-absent,?,Not-in-family,White,Female,0,0,20,Canada,<=50K +27,Private,292883,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +62,Private,190491,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K +57,State-gov,132145,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,45,United-States,>50K +34,Private,126853,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K +22,Private,59184,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,30,United-States,<=50K +22,Private,663291,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2105,0,40,United-States,<=50K +29,Local-gov,76978,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,50,United-States,<=50K +34,Self-emp-not-inc,196512,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,2472,35,United-States,>50K +17,?,103851,11th,7,Never-married,?,Own-child,White,Female,0,0,45,United-States,<=50K +35,Private,241126,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +65,Private,266828,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,24,United-States,>50K +27,Private,204984,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1579,40,United-States,<=50K +46,Private,188950,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +35,Private,226528,Doctorate,16,Married-spouse-absent,Prof-specialty,Not-in-family,Other,Male,0,0,60,England,>50K +38,Private,268893,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K +36,Private,165473,Bachelors,13,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +49,Private,447554,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +54,Self-emp-inc,304955,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K +30,Private,198265,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +26,Private,395206,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,312667,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,2174,0,55,United-States,<=50K +23,Private,117767,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,36,United-States,<=50K +40,Private,170482,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,14344,0,45,United-States,>50K +29,Private,309778,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +28,Private,289991,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +41,Federal-gov,255543,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +34,Private,119079,11th,7,Married-civ-spouse,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K +37,Private,318168,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,1055,0,20,United-States,<=50K +39,Private,67317,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,337953,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +55,Private,451603,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +30,Private,455995,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +33,State-gov,209768,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +55,Federal-gov,27385,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,State-gov,226296,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K +47,Private,285335,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +28,Private,376700,Bachelors,13,Never-married,Sales,Own-child,Black,Male,6849,0,50,United-States,<=50K +33,Private,150324,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,49,United-States,<=50K +62,Private,96460,HS-grad,9,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,?,188141,Some-college,10,Widowed,?,Unmarried,White,Female,0,0,60,United-States,<=50K +42,Private,163985,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,27,United-States,<=50K +63,Private,85420,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5013,0,15,United-States,<=50K +21,Private,416103,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +65,Self-emp-inc,224357,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +28,Federal-gov,116062,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,194259,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,55,?,>50K +33,Private,460408,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Mexico,<=50K +67,Self-emp-not-inc,178878,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,12,United-States,<=50K +36,Private,416745,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,292136,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,30,United-States,<=50K +60,Private,176731,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,104097,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,203482,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,360224,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +67,Private,23580,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Self-emp-not-inc,195891,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +49,Private,182862,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +64,Private,148956,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +24,?,95862,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,?,48393,Some-college,10,Never-married,?,Own-child,White,Male,0,0,32,United-States,<=50K +40,Private,132633,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,1741,40,United-States,<=50K +35,Local-gov,182074,HS-grad,9,Separated,Protective-serv,Not-in-family,White,Male,0,0,42,United-States,<=50K +19,State-gov,136848,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,8,United-States,<=50K +53,Private,197054,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +57,State-gov,243033,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Self-emp-inc,154174,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +47,Private,59380,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,42,United-States,<=50K +38,Federal-gov,122240,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,>50K +38,Private,193945,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,350103,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,32365,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +56,Private,94345,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +24,?,166437,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,149653,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +57,Private,157271,11th,7,Divorced,Other-service,Not-in-family,Black,Male,0,0,54,United-States,<=50K +60,Private,164599,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +81,Self-emp-inc,104443,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,40,?,<=50K +46,Private,411595,5th-6th,3,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,Mexico,<=50K +18,Private,198368,11th,7,Never-married,Other-service,Own-child,White,Male,594,0,10,United-States,<=50K +42,Self-emp-not-inc,115932,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,158397,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,101345,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Federal-gov,48853,Masters,14,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,Cuba,<=50K +39,Private,38145,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K +31,Private,127651,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,38,United-States,>50K +28,Private,185896,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Male,0,0,47,Mexico,<=50K +34,State-gov,92531,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,195904,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +41,State-gov,153095,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +34,Self-emp-not-inc,581025,9th,5,Never-married,Other-service,Own-child,Black,Male,0,0,38,United-States,<=50K +61,Local-gov,202384,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,<=50K +46,Local-gov,122177,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +34,Private,405713,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +67,Private,212185,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,10,United-States,<=50K +36,Private,266347,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,43,United-States,<=50K +31,Private,49469,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +35,Self-emp-not-inc,210830,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Local-gov,188612,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +27,Private,104017,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1902,30,United-States,>50K +23,Private,154785,Some-college,10,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +20,Private,39477,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +72,Private,99554,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,10,Poland,<=50K +61,Private,255978,HS-grad,9,Widowed,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +41,Local-gov,98823,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +45,Federal-gov,109598,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +24,Private,266971,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,?,334593,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,?,41035,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K +35,State-gov,238591,Some-college,10,Separated,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +44,Local-gov,117012,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,40,United-States,>50K +30,Private,192002,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +64,Private,137135,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +69,Private,150600,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +70,Private,117464,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,16,United-States,<=50K +42,Self-emp-not-inc,111971,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +22,Private,290044,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,35,Canada,<=50K +17,Private,197186,10th,6,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K +51,Self-emp-not-inc,61127,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K +30,Private,236379,11th,7,Never-married,Transport-moving,Unmarried,White,Male,0,0,30,United-States,<=50K +31,Private,207100,Bachelors,13,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K +50,Self-emp-inc,288630,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +30,Private,203181,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Male,0,0,36,United-States,<=50K +43,Private,146770,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,191789,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +32,Private,453983,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,44,United-States,<=50K +32,Self-emp-not-inc,106014,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K +37,Private,218955,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,35,United-States,<=50K +62,Private,115771,Assoc-voc,11,Widowed,Sales,Unmarried,White,Female,0,0,33,United-States,<=50K +36,Private,305379,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +29,Private,53063,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,139466,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +64,State-gov,152537,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +32,Private,400535,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,330802,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +24,Private,117789,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +20,Private,330836,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,323985,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,5,United-States,>50K +50,Local-gov,282701,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,48,United-States,>50K +45,Private,180695,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,1408,40,United-States,<=50K +38,Private,314007,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,40,United-States,>50K +51,Without-pay,124963,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +47,Private,380922,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +53,Local-gov,222381,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +33,Self-emp-not-inc,656488,Assoc-voc,11,Divorced,Tech-support,Unmarried,Black,Male,0,0,50,United-States,<=50K +38,Private,98776,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +47,Private,143050,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +17,Private,118792,11th,7,Never-married,Sales,Other-relative,White,Female,0,0,24,United-States,<=50K +21,Private,154964,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,Black,Female,0,0,40,United-States,<=50K +41,Private,163847,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,>50K +28,Private,282398,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +47,Private,78954,11th,7,Divorced,Sales,Unmarried,White,Female,0,0,28,United-States,<=50K +38,Self-emp-not-inc,203988,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,55,United-States,>50K +54,Private,111130,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K +45,Private,149388,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +45,Private,39464,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Local-gov,94064,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +44,State-gov,342510,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,40,United-States,>50K +66,Self-emp-not-inc,163726,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,10,United-States,<=50K +35,Private,194496,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +66,Self-emp-not-inc,298045,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K +24,Private,42100,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +30,Private,77143,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,25,United-States,<=50K +38,Private,233197,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +17,Private,295120,11th,7,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +20,Private,85021,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +54,?,191659,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,244194,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,5178,0,40,United-States,>50K +32,Local-gov,287229,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,30,Japan,<=50K +18,Private,324046,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K +33,State-gov,65018,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,20,China,<=50K +37,Private,421633,Assoc-voc,11,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K +28,Private,93235,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Local-gov,227232,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +30,?,121775,Assoc-voc,11,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +36,Private,65382,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +19,Private,179422,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +53,Federal-gov,276868,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +57,Private,87317,10th,6,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K +32,Private,108247,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K +32,Private,197505,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +35,Self-emp-not-inc,127493,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,0,0,2,United-States,<=50K +51,Private,75640,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +38,?,320811,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +46,Local-gov,247053,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +31,Private,119735,9th,5,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,Mexico,<=50K +29,Private,157950,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +40,Private,113732,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K +52,Self-emp-inc,224763,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Cuba,<=50K +42,Self-emp-not-inc,40024,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,66,United-States,<=50K +42,Self-emp-not-inc,296594,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +43,Federal-gov,53956,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,>50K +38,Self-emp-inc,71009,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,7298,0,40,?,>50K +34,Private,191834,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,107236,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +47,Private,231284,HS-grad,9,Never-married,Farming-fishing,Not-in-family,Other,Male,0,0,40,Puerto-Rico,<=50K +31,State-gov,203488,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,41721,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,205100,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,80,United-States,>50K +57,Private,75673,Some-college,10,Widowed,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +28,?,105598,11th,7,Never-married,?,Not-in-family,White,Male,0,1762,40,Outlying-US(Guam-USVI-etc),<=50K +63,Self-emp-not-inc,177832,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K +24,Private,478457,11th,7,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,30,United-States,<=50K +28,Local-gov,194759,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,1669,90,United-States,<=50K +64,Self-emp-not-inc,30310,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +29,Private,130010,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +23,Private,170302,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Male,0,0,38,United-States,<=50K +46,Private,120080,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +77,Private,183781,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Female,0,0,5,United-States,<=50K +31,Private,422836,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,El-Salvador,<=50K +46,Private,266860,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +25,Private,393456,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +20,State-gov,318382,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,354520,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +47,Private,123425,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,41,United-States,<=50K +52,Private,123989,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +31,Private,175778,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +28,State-gov,73928,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,>50K +31,Private,33731,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +41,Private,557349,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +23,Private,255252,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K +40,Private,219164,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,5178,0,40,United-States,>50K +21,Local-gov,129050,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K +61,Private,111797,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,32,United-States,<=50K +34,Private,192900,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +44,Private,56651,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,51961,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,55,Philippines,<=50K +37,Private,141584,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,47,United-States,<=50K +18,Private,421350,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +52,Private,24740,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1740,55,United-States,<=50K +31,Local-gov,498267,HS-grad,9,Separated,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +21,Private,117583,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,191455,Some-college,10,Married-civ-spouse,Tech-support,Wife,Other,Female,0,0,15,United-States,<=50K +22,Private,135716,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,27766,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,323919,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +73,Local-gov,114561,5th-6th,3,Widowed,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,25,Philippines,<=50K +17,Private,216137,9th,5,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +49,Private,165539,HS-grad,9,Widowed,Exec-managerial,Not-in-family,Black,Female,0,0,35,United-States,<=50K +42,Private,32016,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,United-States,>50K +35,Private,89040,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +45,Private,264514,Bachelors,13,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +50,Private,24790,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,181139,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,42,United-States,<=50K +18,Private,168514,10th,6,Never-married,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K +17,Private,354493,11th,7,Never-married,Sales,Own-child,White,Male,0,0,6,United-States,<=50K +33,Private,206707,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,230684,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +43,Local-gov,192381,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,397752,HS-grad,9,Married-spouse-absent,Farming-fishing,Other-relative,White,Male,0,0,12,Mexico,<=50K +52,State-gov,120173,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,228394,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +83,Private,186112,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,272237,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +45,Federal-gov,169711,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,15024,0,72,United-States,>50K +40,Self-emp-not-inc,172560,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,213700,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,32,United-States,>50K +23,Private,181820,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,120361,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +47,Local-gov,169324,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Black,Female,4386,0,35,United-States,>50K +32,Private,262092,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K +24,Private,143436,Bachelors,13,Never-married,Prof-specialty,Own-child,Other,Female,0,0,10,?,<=50K +43,Private,147099,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,>50K +55,Private,138594,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,56,United-States,>50K +58,Self-emp-not-inc,100606,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +25,Private,350850,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K +23,Private,66432,Some-college,10,Separated,Sales,Unmarried,Black,Female,0,0,35,United-States,<=50K +44,Local-gov,229148,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +20,Private,236601,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K +46,Private,144844,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,42,United-States,<=50K +19,Private,366088,9th,5,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,162164,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,442478,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +25,Private,181814,11th,7,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +49,Private,175109,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,5178,0,40,United-States,>50K +34,Self-emp-inc,152109,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,246891,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K +30,Private,164802,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Other,Female,8614,0,40,India,>50K +21,Private,57711,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Local-gov,117789,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +67,Private,120900,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,12,United-States,<=50K +28,Private,114673,Masters,14,Never-married,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +45,Private,78529,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K +46,Private,282165,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +48,Private,149337,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,>50K +56,Private,250517,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +65,?,76131,HS-grad,9,Never-married,?,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +40,Private,352971,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +20,?,243981,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K +55,?,421228,Masters,14,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,>50K +56,Private,94156,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,306868,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K +43,Private,187164,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,179415,10th,6,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +64,Private,45776,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,1762,79,United-States,<=50K +62,Private,256723,Some-college,10,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,31909,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +68,Private,90526,12th,8,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +35,?,127306,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,179423,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K +39,Private,140169,10th,6,Separated,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K +29,Private,37359,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K +24,Private,125813,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,Amer-Indian-Eskimo,Female,0,0,45,United-States,<=50K +33,Private,209415,10th,6,Divorced,Protective-serv,Not-in-family,White,Female,0,0,32,United-States,<=50K +41,Private,206619,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,283737,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,162187,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +30,Self-emp-inc,191571,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +59,Private,33725,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +34,Private,236543,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,1590,40,United-States,<=50K +26,Federal-gov,73047,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,32,United-States,<=50K +20,Private,230574,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Mexico,<=50K +32,Private,178109,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,36,United-States,<=50K +58,Private,282023,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +31,Local-gov,101761,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,98168,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,>50K +22,Private,287681,11th,7,Never-married,Farming-fishing,Other-relative,White,Male,0,0,40,Mexico,<=50K +39,?,265685,Some-college,10,Divorced,?,Not-in-family,White,Male,0,0,65,Puerto-Rico,<=50K +38,State-gov,91670,Some-college,10,Divorced,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +30,State-gov,61989,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,5,United-States,<=50K +23,Private,138513,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Self-emp-not-inc,95423,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +31,Federal-gov,30917,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,<=50K +20,?,316304,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +58,Private,102791,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +42,Private,416506,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,14084,0,36,United-States,>50K +20,Self-emp-inc,245611,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +47,Federal-gov,655066,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Other,Male,0,0,40,Peru,>50K +57,Self-emp-not-inc,87584,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K +47,Self-emp-not-inc,304223,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +49,Local-gov,40690,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Male,0,0,60,United-States,>50K +18,Private,348131,11th,7,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K +64,Private,191477,5th-6th,3,Widowed,Priv-house-serv,Unmarried,Black,Female,0,0,4,United-States,<=50K +29,Private,115438,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K +47,Federal-gov,176917,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,>50K +40,?,104196,HS-grad,9,Separated,?,Own-child,White,Male,0,0,45,United-States,<=50K +28,Private,202182,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +24,Private,308239,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,4,United-States,<=50K +34,Private,163581,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,10520,0,40,Puerto-Rico,>50K +34,Local-gov,211239,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,6497,0,40,United-States,<=50K +31,Private,121321,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,51,United-States,<=50K +23,State-gov,120172,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,48,United-States,<=50K +20,Private,190916,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,1721,20,United-States,<=50K +25,Private,340288,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,426431,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Self-emp-inc,226027,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +28,Private,278736,12th,8,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,Mexico,<=50K +48,Private,168462,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +18,?,379070,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,214541,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,Canada,<=50K +52,Self-emp-inc,29887,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +53,Self-emp-not-inc,138022,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +57,Self-emp-inc,208018,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +45,Private,126876,HS-grad,9,Divorced,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K +45,Private,182703,Masters,14,Divorced,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Female,0,0,36,United-States,<=50K +34,Private,161153,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +44,Self-emp-not-inc,168443,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +25,Private,335522,9th,5,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K +27,Private,220104,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1876,50,United-States,<=50K +28,?,162312,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,40,South,<=50K +36,Private,104772,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +61,Private,161472,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +52,Private,91506,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +19,Private,186717,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +53,Private,77927,5th-6th,3,Never-married,Handlers-cleaners,Other-relative,Asian-Pac-Islander,Female,0,0,50,Philippines,<=50K +55,Private,140063,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Self-emp-inc,317580,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,122533,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +29,Private,57423,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +45,Private,103331,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +64,State-gov,417543,Doctorate,16,Widowed,Prof-specialty,Not-in-family,Black,Male,8614,0,50,United-States,>50K +56,Private,253854,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +56,Private,106850,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Self-emp-inc,314007,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,78,United-States,<=50K +23,Private,494371,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +29,Local-gov,270421,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +33,Private,203488,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,40,United-States,<=50K +35,Private,167691,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,20,United-States,<=50K +25,Private,198318,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +37,Private,319831,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K +28,Private,70240,Masters,14,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,36,Philippines,<=50K +67,Private,227113,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2457,40,United-States,<=50K +22,Private,168997,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,State-gov,231929,12th,8,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K +22,Private,207969,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Male,0,0,35,United-States,<=50K +68,Private,192656,Some-college,10,Widowed,Craft-repair,Not-in-family,White,Male,0,0,10,United-States,<=50K +31,Private,187215,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,El-Salvador,<=50K +51,Self-emp-inc,119570,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +64,Private,188659,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,>50K +35,Private,110013,Bachelors,13,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +26,Private,55860,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +42,Self-emp-inc,282069,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Federal-gov,26585,HS-grad,9,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Female,0,0,25,United-States,<=50K +46,Self-emp-inc,218890,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K +35,Private,211154,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +51,Private,230095,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,737315,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K +50,Private,144084,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Self-emp-not-inc,48384,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +51,Private,541755,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,178778,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,1340,40,United-States,<=50K +28,Private,436198,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +37,Private,82521,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,4064,0,46,United-States,<=50K +39,Private,367020,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,174461,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,162501,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,193026,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,218172,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,13550,0,60,United-States,>50K +41,Private,110318,Masters,14,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +36,Private,126675,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1579,40,United-States,<=50K +24,Private,116788,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,161092,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,159109,11th,7,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,213191,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +49,Private,240629,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,38,United-States,<=50K +17,Private,227960,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,10,Puerto-Rico,<=50K +54,Private,151580,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,France,>50K +41,Private,160893,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +35,Local-gov,184117,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,25,United-States,<=50K +18,Private,32059,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,23,United-States,<=50K +42,Private,361219,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +60,Private,334984,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,2231,40,United-States,>50K +49,Self-emp-not-inc,33300,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K +57,Private,199713,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K +43,Private,401134,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Female,0,2238,40,United-States,<=50K +37,Private,132702,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,?,306693,Some-college,10,Married-civ-spouse,?,Other-relative,White,Female,0,0,20,United-States,<=50K +20,Private,286166,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +57,Private,123515,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,132053,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +20,Self-emp-inc,266400,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +42,Local-gov,335248,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K +81,Private,36147,Prof-school,15,Married-civ-spouse,Farming-fishing,Husband,White,Male,10605,0,2,United-States,>50K +21,Private,266467,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,2205,40,United-States,<=50K +43,Private,143809,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,334366,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,>50K +41,Private,347653,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +32,Private,386806,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,45,Mexico,>50K +48,Private,202322,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,El-Salvador,<=50K +50,Private,594521,9th,5,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Private,174267,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,64,United-States,<=50K +18,?,169542,12th,8,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +54,Private,227392,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +59,Federal-gov,99131,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K +38,Self-emp-inc,225860,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +53,Private,287317,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +42,Private,46091,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +53,Private,170050,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,State-gov,352317,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +56,Private,225267,Some-college,10,Divorced,Sales,Not-in-family,White,Male,14084,0,60,United-States,>50K +28,Private,217545,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,?,<=50K +33,Private,183778,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +43,Private,210013,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,49115,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,44,United-States,>50K +31,Private,310429,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,70,United-States,<=50K +33,Private,114691,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +46,Private,124356,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +31,Private,51284,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,36,United-States,<=50K +47,?,294443,Assoc-voc,11,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,200009,10th,6,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,258862,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,18,United-States,<=50K +35,Private,37778,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +28,Private,402771,HS-grad,9,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +42,Federal-gov,201520,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,43,United-States,>50K +47,Local-gov,55237,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,44,United-States,<=50K +63,?,52750,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +63,Local-gov,197189,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,4650,0,48,United-States,<=50K +39,Private,96564,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,334105,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +41,Private,115323,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +31,Private,157289,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,52,United-States,<=50K +52,Private,320877,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K +64,Self-emp-not-inc,198186,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,?,<=50K +62,Private,195543,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,>50K +48,Private,103406,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,35,United-States,>50K +22,?,320451,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,24,?,<=50K +18,Private,23940,Some-college,10,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +46,Private,45857,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,33,United-States,<=50K +29,Private,195557,Assoc-acdm,12,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,229148,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,35,United-States,<=50K +21,?,152328,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,186157,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +60,Private,127712,Assoc-voc,11,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,45,Poland,<=50K +24,Private,254351,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +61,Private,182163,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +34,Private,442656,11th,7,Never-married,Sales,Unmarried,White,Female,0,0,65,Guatemala,<=50K +30,Private,111363,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +36,Local-gov,491000,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,Black,Male,0,0,40,United-States,<=50K +45,State-gov,156065,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,243743,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +47,Self-emp-not-inc,173938,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,2258,20,United-States,<=50K +37,Private,86308,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K +35,Private,216068,Assoc-acdm,12,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,237432,12th,8,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K +34,Private,177216,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +27,Private,212895,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,122749,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Germany,<=50K +44,Private,254303,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Hungary,>50K +20,Private,73679,HS-grad,9,Never-married,Transport-moving,Own-child,White,Female,0,0,35,United-States,<=50K +30,Private,455995,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,214288,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1848,48,United-States,>50K +28,Private,228075,5th-6th,3,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Hong,<=50K +35,Private,412017,10th,6,Divorced,Sales,Unmarried,White,Female,0,0,38,United-States,<=50K +41,Private,236900,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,289442,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Local-gov,237298,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +36,State-gov,47072,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,8,United-States,<=50K +25,Private,197036,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +19,State-gov,175507,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,18,United-States,<=50K +53,Private,350131,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,48,United-States,>50K +35,Private,150057,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,48,United-States,<=50K +40,Self-emp-inc,190650,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,45,South,>50K +27,Private,430672,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K +50,Private,99316,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +47,?,191776,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,8,United-States,<=50K +33,Private,97723,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,50,United-States,>50K +28,?,197288,11th,7,Never-married,?,Unmarried,Black,Female,0,0,30,United-States,<=50K +36,Private,239409,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +48,Private,195554,7th-8th,4,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Self-emp-not-inc,76855,Some-college,10,Divorced,Transport-moving,Unmarried,White,Female,0,0,53,United-States,<=50K +43,Private,281315,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K +76,Local-gov,224058,10th,6,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,20,United-States,<=50K +23,Private,232799,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,2977,0,55,United-States,<=50K +29,Private,174163,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,Private,47178,5th-6th,3,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +62,Self-emp-not-inc,97950,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,6,United-States,<=50K +26,Private,342765,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K +42,Local-gov,209818,Bachelors,13,Divorced,Prof-specialty,Other-relative,White,Female,0,0,55,United-States,<=50K +36,Private,349534,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,31,United-States,>50K +43,Self-emp-inc,170214,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,<=50K +28,Private,145284,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,124161,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +48,Private,105357,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,355700,Prof-school,15,Married-AF-spouse,Prof-specialty,Wife,White,Female,99999,0,60,United-States,>50K +30,Private,99928,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,308739,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +58,Self-emp-inc,179781,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K +52,Federal-gov,297906,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K +25,Private,189663,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +39,Self-emp-not-inc,339029,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +39,Self-emp-not-inc,87076,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,>50K +18,Private,109928,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +55,Private,218456,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Local-gov,176756,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,75,United-States,>50K +69,?,214923,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,>50K +21,Private,191789,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,?,<=50K +19,Private,238383,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,315476,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,25,United-States,<=50K +36,Private,195148,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +49,?,174274,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,80,United-States,<=50K +42,Private,143208,7th-8th,4,Divorced,Other-service,Unmarried,White,Female,0,0,40,?,<=50K +40,Private,30201,Assoc-voc,11,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,35,United-States,<=50K +35,Self-emp-inc,200352,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +31,Private,117028,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,30,Poland,<=50K +45,Private,44489,HS-grad,9,Widowed,Farming-fishing,Unmarried,White,Male,0,0,65,United-States,<=50K +52,Private,236222,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,496856,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +29,Private,132675,11th,7,Separated,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +42,Private,89226,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +36,?,112660,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +61,Federal-gov,294466,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +58,Private,201011,7th-8th,4,Separated,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K +47,Private,27624,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,65,United-States,>50K +31,Private,385959,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K +53,Private,214691,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,<=50K +34,Private,196253,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +62,Local-gov,242341,Some-college,10,Divorced,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +23,Private,195016,Some-college,10,Never-married,Prof-specialty,Not-in-family,Other,Female,0,0,35,United-States,<=50K +47,Private,174794,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,England,>50K +59,Self-emp-not-inc,134470,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,2635,0,60,United-States,<=50K +17,Private,166360,10th,6,Never-married,Craft-repair,Own-child,White,Female,0,0,30,United-States,<=50K +40,Local-gov,26671,Bachelors,13,Divorced,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +38,Self-emp-not-inc,589838,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,<=50K +45,Private,149169,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +46,Private,287920,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K +57,Private,56080,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K +22,State-gov,211798,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K +30,Private,415266,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +42,Private,147110,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,228873,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,60,United-States,>50K +40,Private,305348,9th,5,Never-married,Craft-repair,Other-relative,Black,Male,0,0,40,United-States,<=50K +50,Federal-gov,189831,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,50,United-States,>50K +45,Private,247379,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +38,Federal-gov,198841,Some-college,10,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,364986,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1628,47,United-States,<=50K +31,Private,203488,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,>50K +31,Private,141118,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K +49,Self-emp-not-inc,155862,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K +46,Private,324550,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,174353,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K +82,Self-emp-not-inc,181912,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,12,United-States,<=50K +45,Private,168191,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,15024,0,37,United-States,>50K +35,?,216068,Assoc-acdm,12,Married-civ-spouse,?,Wife,White,Female,5178,0,12,United-States,>50K +41,Private,125461,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +21,Private,162688,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,234406,12th,8,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +41,State-gov,114537,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +40,Private,68111,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +44,Private,322799,HS-grad,9,Separated,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K +21,Private,479296,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K +39,Private,323385,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +63,Private,162772,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,>50K +53,Private,27166,HS-grad,9,Married-spouse-absent,Transport-moving,Not-in-family,White,Male,10520,0,40,United-States,>50K +55,?,142642,HS-grad,9,Married-spouse-absent,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +19,Private,162954,Some-college,10,Married-AF-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,United-States,<=50K +45,Federal-gov,90533,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +52,Private,234286,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,84,United-States,<=50K +17,Private,355559,12th,8,Never-married,Prof-specialty,Own-child,White,Male,0,0,18,United-States,<=50K +35,Private,32528,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,132847,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +46,Private,279724,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K +50,Private,30827,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +25,Private,179772,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Private,112264,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,93690,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +52,Local-gov,178983,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +55,?,194740,10th,6,Widowed,?,Not-in-family,White,Female,0,0,45,United-States,<=50K +48,Local-gov,283037,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,312485,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,32,United-States,<=50K +30,Private,202450,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +29,Local-gov,272569,10th,6,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,231865,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +26,Private,195693,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,Jamaica,<=50K +27,Private,108574,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +58,Self-emp-not-inc,605504,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +19,Self-emp-not-inc,140985,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,England,<=50K +22,State-gov,160369,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K +29,Private,303440,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,263871,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,28338,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Self-emp-inc,298624,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,>50K +41,Private,139126,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K +57,Private,197994,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,32,United-States,<=50K +34,Local-gov,241259,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +80,Self-emp-not-inc,248568,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +59,Self-emp-not-inc,304779,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +58,Private,143266,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,169719,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K +34,Private,257128,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,78507,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +28,Private,490332,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K +32,Private,244200,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,Puerto-Rico,<=50K +44,Self-emp-not-inc,95298,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,>50K +23,Private,329174,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,107142,12th,8,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +39,State-gov,33975,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +26,Private,201579,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,Mexico,<=50K +39,Self-emp-not-inc,122852,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +35,Private,272742,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,27828,0,60,United-States,>50K +53,Private,161691,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,4865,0,40,United-States,<=50K +41,Local-gov,223410,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +90,Private,250832,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,2414,0,40,United-States,<=50K +44,Local-gov,282069,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,369164,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +81,Self-emp-not-inc,218521,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,21,United-States,<=50K +19,Private,136405,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +40,Private,199018,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +28,Local-gov,299249,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Private,235567,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,52,United-States,<=50K +51,Self-emp-not-inc,73493,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +54,Private,320012,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +37,Self-emp-inc,183898,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +31,State-gov,190027,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +31,Private,87891,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,304001,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +40,Private,171424,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +19,Private,123807,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +22,?,210802,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,24,United-States,<=50K +25,Private,80220,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,216413,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +23,Private,423453,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,16,United-States,<=50K +30,Private,178835,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +35,Private,304001,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,167482,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +32,Private,26543,Some-college,10,Separated,Prof-specialty,Not-in-family,White,Male,0,2231,40,United-States,>50K +52,Private,176409,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,State-gov,87018,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,251603,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +44,Local-gov,366180,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +42,Private,186916,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,55,United-States,>50K +30,Self-emp-not-inc,164461,11th,7,Divorced,Sales,Unmarried,White,Male,0,653,40,United-States,<=50K +42,Private,54102,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +48,Self-emp-not-inc,199058,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,>50K +22,Private,293324,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,96798,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +65,Self-emp-not-inc,132340,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,3,United-States,<=50K +45,Private,175925,Bachelors,13,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,Self-emp-not-inc,33230,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,15,United-States,<=50K +20,Local-gov,298871,HS-grad,9,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,10,United-States,<=50K +26,Private,142760,Assoc-voc,11,Never-married,Sales,Not-in-family,Black,Male,0,0,50,United-States,<=50K +30,Private,200700,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,117310,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,60,?,<=50K +44,Private,238188,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,354496,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,416541,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K +52,Private,42902,9th,5,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +30,Private,180317,Assoc-voc,11,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,378581,12th,8,Never-married,Protective-serv,Other-relative,Black,Male,0,0,40,United-States,<=50K +45,Local-gov,213620,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +58,Private,186905,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,99999,0,40,United-States,>50K +47,Private,182054,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +64,Local-gov,189634,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +25,Local-gov,170070,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +42,Private,445382,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Self-emp-inc,168211,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,>50K +22,Private,341760,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +26,Private,152452,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,558752,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,3674,0,40,United-States,<=50K +28,Private,153813,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K +54,Private,81859,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +47,Self-emp-not-inc,51664,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +46,Private,334421,Bachelors,13,Divorced,Sales,Unmarried,Asian-Pac-Islander,Female,0,0,40,China,<=50K +35,Private,239415,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K +57,Local-gov,62701,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Male,6849,0,40,United-States,<=50K +37,Self-emp-inc,347491,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +54,Local-gov,108739,11th,7,Widowed,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K +34,Private,340917,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,2174,0,45,United-States,<=50K +54,Federal-gov,160636,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K +49,Private,116927,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +24,Private,179423,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +18,Private,347829,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,4,United-States,<=50K +62,Self-emp-not-inc,56317,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,>50K +37,Self-emp-inc,347189,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +42,Private,201520,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +43,Private,43533,5th-6th,3,Separated,Other-service,Other-relative,White,Female,0,0,40,El-Salvador,<=50K +20,Private,313786,HS-grad,9,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +36,Private,367216,Some-college,10,Married-spouse-absent,Other-service,Own-child,White,Female,0,0,28,United-States,<=50K +23,Private,408988,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +48,Private,175662,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,24,United-States,<=50K +77,Self-emp-not-inc,161552,Preschool,1,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +26,Private,311743,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,39,United-States,<=50K +25,Private,323229,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,163204,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1740,40,United-States,<=50K +25,Private,201481,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,154210,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K +36,Local-gov,247547,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +51,Self-emp-inc,254230,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,58,United-States,>50K +33,Private,156464,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +31,Private,108322,Some-college,10,Married-AF-spouse,Craft-repair,Husband,White,Male,0,0,28,United-States,<=50K +33,Private,213179,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +24,Private,160122,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,20,United-States,<=50K +64,?,80392,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,4,United-States,<=50K +36,Local-gov,254202,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,0,0,24,Germany,<=50K +26,State-gov,232914,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Local-gov,206609,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Male,0,1876,40,United-States,<=50K +33,Private,44623,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +22,?,199005,Assoc-acdm,12,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,403344,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,118577,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,25,United-States,>50K +37,Private,122889,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,7298,0,40,Taiwan,>50K +23,Private,196508,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,24,United-States,<=50K +26,Private,40915,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,143774,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +22,Private,173004,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Male,0,0,1,United-States,<=50K +49,Private,353824,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K +53,Private,171058,Some-college,10,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Private,335400,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Dominican-Republic,<=50K +30,Local-gov,263650,Bachelors,13,Never-married,Sales,Unmarried,Black,Female,0,0,17,United-States,<=50K +59,Private,187025,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +49,Private,149218,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K +26,Private,190916,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,240989,1st-4th,2,Married-civ-spouse,Farming-fishing,Other-relative,White,Male,0,0,40,Mexico,<=50K +47,Private,216093,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,15024,0,40,United-States,>50K +42,Private,111483,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +24,Private,214810,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +46,Private,165402,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,5178,0,40,United-States,>50K +50,Federal-gov,36489,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +18,Private,173923,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +20,Private,273147,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K +18,Private,113814,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,118768,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K +62,Federal-gov,34916,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +36,Private,73023,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K +46,State-gov,179869,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +48,Federal-gov,259131,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Male,5455,0,40,United-States,<=50K +52,Private,257756,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,Germany,<=50K +53,Private,448862,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K +31,Private,150553,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +30,Private,205152,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +26,Private,220499,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +19,Private,134252,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +20,Private,175808,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,185621,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +24,Private,278391,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +22,Self-emp-not-inc,174907,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K +40,Private,175642,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,>50K +24,Self-emp-not-inc,216889,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +34,Private,183557,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +24,Private,196674,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,169188,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +46,Private,203785,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +49,Private,196707,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +37,Private,190297,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +18,Private,255595,11th,7,Never-married,Prof-specialty,Own-child,White,Male,0,0,5,United-States,<=50K +38,Self-emp-not-inc,374983,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +21,Private,176178,Bachelors,13,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,35,United-States,<=50K +35,Private,181165,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Local-gov,212490,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +61,Private,215766,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +46,Private,261688,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,123417,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +29,Private,108431,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,2415,40,United-States,>50K +58,Private,32954,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,224752,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,122353,11th,7,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +37,Private,176159,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +28,Private,189407,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +26,Private,181772,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,109133,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,165229,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +23,State-gov,315449,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K +40,Private,37848,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Federal-gov,54595,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +20,?,127914,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K +20,Private,121596,Some-college,10,Never-married,Other-service,Own-child,White,Female,2907,0,35,United-States,<=50K +38,Private,95336,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +40,?,299197,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,23,United-States,<=50K +58,Private,299991,11th,7,Divorced,Adm-clerical,Not-in-family,White,Female,3674,0,40,United-States,<=50K +28,Private,70034,9th,5,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Portugal,<=50K +30,Private,256970,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K +29,Private,108706,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K +52,Private,227832,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +26,Private,272865,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,60070,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K +40,Private,223730,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K +51,Self-emp-not-inc,22743,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1740,40,United-States,<=50K +26,Private,195994,Bachelors,13,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,?,181242,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +64,Private,133169,11th,7,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,India,<=50K +22,Private,99199,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K +40,Private,246949,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,284889,Bachelors,13,Widowed,Sales,Unmarried,White,Female,0,0,41,United-States,<=50K +35,Private,150309,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,1887,40,United-States,>50K +24,Private,201799,Bachelors,13,Never-married,Transport-moving,Own-child,White,Female,0,0,84,United-States,<=50K +58,Private,52090,Prof-school,15,Divorced,Tech-support,Unmarried,White,Male,0,0,40,United-States,>50K +83,Local-gov,107338,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Male,0,0,12,United-States,<=50K +45,Private,32356,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +47,Private,50092,Bachelors,13,Divorced,Exec-managerial,Unmarried,Other,Male,0,1138,40,United-States,<=50K +28,Private,311446,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Federal-gov,128553,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,203203,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Self-emp-not-inc,429281,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,?,<=50K +31,Private,192660,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,30,United-States,<=50K +30,Local-gov,170449,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +57,?,221417,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +80,?,156942,1st-4th,2,Separated,?,Not-in-family,Black,Male,0,0,15,United-States,<=50K +21,Private,177504,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +24,Private,378546,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,39,United-States,<=50K +39,Self-emp-not-inc,33001,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,213722,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +36,Private,152307,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,55,United-States,>50K +61,Self-emp-not-inc,53777,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +23,Private,60668,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,55,United-States,<=50K +34,Private,132544,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,99,United-States,<=50K +53,Private,277772,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,415755,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +51,Private,136080,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,31,United-States,<=50K +29,Private,241607,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,2597,0,40,United-States,<=50K +22,Private,180190,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,400356,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +55,Federal-gov,154274,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,8614,0,40,United-States,>50K +48,Private,146497,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,37,United-States,<=50K +47,Private,189498,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,65,United-States,>50K +32,Private,65942,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,56,United-States,<=50K +27,Self-emp-not-inc,151382,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,56651,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +25,Private,164488,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K +27,Local-gov,183061,HS-grad,9,Never-married,Farming-fishing,Own-child,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K +31,Private,289228,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,United-States,<=50K +28,Private,38918,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +23,Private,194630,HS-grad,9,Separated,Machine-op-inspct,Own-child,White,Male,0,0,53,United-States,<=50K +31,Private,262848,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,157595,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +26,Private,102476,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +45,Local-gov,93663,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +30,Private,202450,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,72393,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +27,Private,53147,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +29,Self-emp-not-inc,337944,11th,7,Separated,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +31,Private,37939,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,118993,9th,5,Married-civ-spouse,Transport-moving,Other-relative,White,Female,0,0,40,?,<=50K +60,Private,772919,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K +26,Private,143062,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +31,Local-gov,32593,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,167882,12th,8,Never-married,Other-service,Unmarried,Black,Female,0,0,48,Haiti,<=50K +52,Local-gov,48413,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,123429,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +61,Private,244261,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +37,State-gov,318891,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +20,Private,259788,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,248876,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,55,United-States,<=50K +63,Federal-gov,334418,1st-4th,2,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,Puerto-Rico,<=50K +38,Self-emp-not-inc,166497,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K +54,Self-emp-not-inc,260833,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,>50K +35,Private,107477,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,37932,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K +58,Self-emp-not-inc,216948,10th,6,Separated,Sales,Other-relative,Other,Male,0,0,40,Cuba,<=50K +38,Private,157473,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K +21,?,117222,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +27,Self-emp-inc,186733,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +53,Private,231472,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +31,Local-gov,187689,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,323985,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +53,Private,270655,12th,8,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +36,Private,301614,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,Mexico,<=50K +25,Private,112754,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +23,?,35633,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,?,<=50K +30,Self-emp-not-inc,112358,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +57,Self-emp-not-inc,247337,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,72,United-States,<=50K +40,Self-emp-inc,115411,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +42,State-gov,884434,Some-college,10,Separated,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +55,Private,72812,HS-grad,9,Separated,Sales,Not-in-family,White,Male,0,0,36,United-States,<=50K +26,Private,192549,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,54310,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,50,United-States,<=50K +58,Self-emp-not-inc,33386,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,20,United-States,<=50K +30,Private,233433,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,45,United-States,<=50K +24,Private,106373,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +60,Private,215591,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,184531,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,69495,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +63,Self-emp-not-inc,22228,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +38,Private,55899,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +50,Self-emp-inc,181498,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +31,State-gov,203572,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K +23,Private,120601,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +36,Private,74706,10th,6,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +59,?,259673,Some-college,10,Married-civ-spouse,?,Husband,Other,Male,0,0,40,Puerto-Rico,<=50K +48,Private,126441,1st-4th,2,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,45,China,<=50K +25,Private,127784,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,33658,Some-college,10,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,3004,40,United-States,>50K +36,Private,234901,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,34307,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +75,Private,124660,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K +29,Private,278637,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,373545,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,Private,172548,9th,5,Never-married,Sales,Own-child,White,Male,0,0,8,United-States,<=50K +46,Private,28074,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,89,United-States,>50K +58,Self-emp-not-inc,127539,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,2407,0,25,United-States,<=50K +25,?,180246,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,1408,40,United-States,<=50K +34,State-gov,377017,Masters,14,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +41,Private,144925,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,?,156877,9th,5,Separated,?,Not-in-family,White,Male,0,0,60,United-States,<=50K +19,Private,153019,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,32825,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +46,Private,114120,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,38,United-States,<=50K +36,?,92440,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,32016,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +51,Private,165953,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,45,United-States,<=50K +21,Private,96061,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +50,Private,106422,HS-grad,9,Married-civ-spouse,Sales,Wife,Black,Female,0,1485,37,United-States,>50K +49,Self-emp-not-inc,167281,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,137895,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +52,Private,177487,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,344696,Some-college,10,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +66,Self-emp-not-inc,51415,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,4931,0,98,United-States,<=50K +36,Private,134367,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,32,United-States,>50K +40,Private,289636,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,165115,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K +20,Private,206008,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +22,State-gov,149342,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +48,Self-emp-not-inc,90042,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,49,United-States,<=50K +22,Private,495288,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K +22,Private,234970,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,40,?,<=50K +51,Self-emp-not-inc,123011,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,260454,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +19,Private,39026,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,278021,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,159399,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K +34,Private,340665,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,2057,35,United-States,<=50K +34,State-gov,392518,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +24,Private,229826,Bachelors,13,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K +62,Private,185503,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +25,Private,399117,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +45,Private,168232,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,>50K +42,Private,377322,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +71,Self-emp-not-inc,141742,HS-grad,9,Widowed,Farming-fishing,Unmarried,White,Male,1731,0,5,United-States,<=50K +39,Private,31964,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,>50K +45,Self-emp-not-inc,29019,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,55,United-States,<=50K +67,?,183420,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,21,United-States,<=50K +36,Private,305319,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +35,Private,182189,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,257250,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +60,Self-emp-not-inc,269485,Preschool,1,Divorced,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K +32,Self-emp-not-inc,182177,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,179481,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Poland,<=50K +27,Private,199118,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Nicaragua,<=50K +46,Private,33084,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,185407,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +38,Self-emp-not-inc,177907,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,145441,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,40,United-States,>50K +25,Private,104830,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K +27,Private,247507,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +71,Self-emp-inc,216601,11th,7,Divorced,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K +28,Local-gov,91670,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +58,Private,106740,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +57,Private,122562,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +35,Private,109133,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,3674,0,52,United-States,<=50K +35,Private,196123,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +55,Private,123436,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +56,Self-emp-inc,42298,9th,5,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K +44,Private,297248,HS-grad,9,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,0,40,Columbia,<=50K +23,Private,117363,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +41,Private,79864,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +51,Private,190762,1st-4th,2,Widowed,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +46,Private,155509,Bachelors,13,Separated,Prof-specialty,Unmarried,Black,Female,0,0,32,Jamaica,<=50K +45,Federal-gov,163434,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,153832,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +53,Federal-gov,147629,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,>50K +33,Private,488720,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K +49,Private,169180,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,1876,35,United-States,<=50K +37,Private,188763,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +37,Private,229647,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,42,United-States,<=50K +57,Self-emp-not-inc,321456,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K +24,Private,199698,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,<=50K +32,Private,226010,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +28,Private,116298,7th-8th,4,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K +33,Private,130057,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +27,Private,369188,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,90,United-States,>50K +32,Private,155193,HS-grad,9,Separated,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K +33,Private,159574,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,299353,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,56,United-States,<=50K +46,Local-gov,99971,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,>50K +65,Private,190160,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K +67,Private,283416,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Private,224277,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K +30,Private,111567,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,48,United-States,<=50K +53,Private,151411,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +34,Private,346736,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,White,Female,0,0,50,United-States,<=50K +26,Private,264055,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,55,United-States,<=50K +22,Private,309620,HS-grad,9,Never-married,Sales,Not-in-family,Other,Male,0,0,45,?,<=50K +39,Private,224541,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +46,Private,235334,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,99999,0,60,United-States,>50K +22,Private,296158,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,153997,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,231482,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,278553,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,38,United-States,<=50K +56,Private,91251,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,20,China,<=50K +47,Self-emp-not-inc,192053,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +47,Private,207120,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,44,United-States,<=50K +46,Self-emp-inc,125892,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K +34,Private,186824,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,200471,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,2415,40,United-States,>50K +22,Private,117779,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +23,Private,44793,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K +33,Private,37646,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,<=50K +45,Private,174127,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,110103,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,1762,40,United-States,<=50K +20,Private,74631,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K +32,Private,211239,Some-college,10,Married-AF-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +26,?,157008,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Self-emp-not-inc,90406,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,60,United-States,<=50K +27,Private,199998,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,32,United-States,<=50K +73,Private,132350,7th-8th,4,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,18,United-States,<=50K +61,Private,233427,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +52,Local-gov,71489,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1579,40,United-States,<=50K +34,Self-emp-inc,119411,Some-college,10,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +35,Private,351772,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +27,Local-gov,34254,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,178693,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +47,Private,168262,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +58,Private,34169,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,3103,0,25,United-States,>50K +31,Private,328118,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +39,Self-emp-inc,122353,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +18,Private,37315,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K +27,Private,181916,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,55465,Assoc-acdm,12,Never-married,Other-service,Other-relative,White,Male,0,0,15,United-States,<=50K +45,Private,192203,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,49,United-States,>50K +26,Private,91683,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,39302,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K +27,Private,171356,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +53,Self-emp-inc,197189,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,72,United-States,>50K +47,Private,112362,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,228326,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,307353,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +44,Private,172160,11th,7,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +62,Self-emp-inc,234738,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,50,United-States,<=50K +34,Private,33117,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +64,Self-emp-not-inc,217380,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,2559,60,United-States,>50K +36,Private,157954,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +53,Private,164299,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1887,65,United-States,>50K +61,Self-emp-not-inc,224981,10th,6,Widowed,Craft-repair,Other-relative,White,Male,0,0,18,Mexico,<=50K +25,Private,281209,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,200479,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K +28,Private,132750,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K +22,Private,21154,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,1590,32,United-States,<=50K +34,State-gov,189843,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,116657,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +52,Private,113522,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,>50K +53,Private,176185,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +90,Private,227796,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,6097,0,45,United-States,>50K +24,Private,194891,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Private,197189,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,182191,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,2202,0,38,United-States,<=50K +47,Private,242559,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,1408,40,United-States,<=50K +90,Self-emp-not-inc,122348,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,45,United-States,>50K +44,Private,40024,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Local-gov,225978,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +18,Private,407436,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K +60,Self-emp-not-inc,119471,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K +33,Private,249409,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,35,United-States,<=50K +38,?,217409,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +48,Private,148995,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +50,Private,200046,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +37,Private,215618,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +21,Private,280081,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +46,Self-emp-inc,340651,Bachelors,13,Married-civ-spouse,Other-service,Husband,Black,Male,0,1977,60,United-States,>50K +39,Private,111000,Masters,14,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +26,Private,135521,Assoc-voc,11,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,28,United-States,<=50K +24,Self-emp-not-inc,194102,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,295127,Some-college,10,Divorced,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K +60,?,102310,Assoc-acdm,12,Divorced,?,Not-in-family,White,Female,0,0,45,Canada,<=50K +48,Private,240175,11th,7,Separated,Other-service,Unmarried,Black,Male,0,0,22,United-States,<=50K +41,Private,145441,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +61,Self-emp-not-inc,243019,Preschool,1,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,215596,9th,5,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K +25,State-gov,31350,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,246965,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K +28,Private,99838,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,38,?,<=50K +40,Private,340797,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +51,?,29937,HS-grad,9,Widowed,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K +38,Local-gov,30056,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,309903,10th,6,Never-married,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +55,State-gov,256984,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +22,Private,181723,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,Germany,<=50K +37,Private,101020,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,4787,0,55,United-States,>50K +44,Self-emp-not-inc,106900,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,195770,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +49,Private,102737,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Local-gov,191779,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +56,Self-emp-not-inc,99479,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5013,0,46,United-States,<=50K +62,Private,196891,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +19,?,208066,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +31,Private,54341,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +21,Private,140001,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +26,Private,248220,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,172962,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +37,Private,88215,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,China,<=50K +18,Private,110142,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +41,Self-emp-not-inc,136986,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,State-gov,206775,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,53497,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,238534,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,20,Puerto-Rico,<=50K +38,Private,143123,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,60269,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +33,Private,82623,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,48,United-States,>50K +40,Local-gov,99666,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +61,Private,95680,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +44,State-gov,208163,Assoc-voc,11,Separated,Protective-serv,Unmarried,White,Male,0,0,40,United-States,<=50K +41,Private,369781,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +17,Private,311288,11th,7,Never-married,Exec-managerial,Own-child,White,Female,0,0,24,United-States,<=50K +42,Self-emp-not-inc,152889,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K +38,Private,160086,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K +34,Private,117963,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,>50K +33,Private,186884,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +41,Private,313830,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,?,212529,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +41,Self-emp-inc,124330,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K +53,Private,104501,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K +41,Private,43501,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +24,Private,83774,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +37,Private,216845,Preschool,1,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +45,Local-gov,168191,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +62,Self-emp-not-inc,166894,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +31,Private,110083,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +55,Private,194371,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,Canada,>50K +36,Federal-gov,125933,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,2258,40,United-States,<=50K +22,Private,444554,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +34,Private,190228,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,>50K +27,Private,604045,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,27828,0,40,United-States,>50K +36,Private,241126,Some-college,10,Divorced,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K +38,Private,168355,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +48,State-gov,158451,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,914,0,40,United-States,<=50K +50,Private,141608,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K +36,Private,33157,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +45,Private,187563,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,45,United-States,<=50K +33,Private,26252,Assoc-acdm,12,Never-married,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +32,Local-gov,318647,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,36,United-States,<=50K +47,Private,152572,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K +30,Private,77634,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,199513,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,1408,50,United-States,<=50K +19,Private,260327,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,18,United-States,<=50K +23,Private,437940,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,137069,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K +34,Local-gov,32587,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +47,Self-emp-inc,193960,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,45,United-States,>50K +33,Private,170651,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1977,38,United-States,>50K +68,?,186163,1st-4th,2,Widowed,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +39,Private,114544,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +28,Private,159724,Bachelors,13,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +63,Private,697806,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +34,Private,140011,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K +53,Federal-gov,411700,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K +26,State-gov,179633,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +57,Local-gov,317690,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K +45,Local-gov,213334,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +41,Private,165304,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Greece,<=50K +57,Private,192325,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,42,United-States,<=50K +53,Self-emp-not-inc,385183,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K +33,Private,232650,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +47,Self-emp-not-inc,182474,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,36,United-States,<=50K +37,Private,119992,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,376016,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +39,Private,144638,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K +48,Federal-gov,113612,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +65,?,106161,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,48160,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +30,Self-emp-not-inc,55176,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +21,Private,291232,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +55,Private,250149,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +62,?,221064,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +27,Self-emp-not-inc,87745,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +35,Private,97136,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,37,United-States,<=50K +18,Private,632271,Some-college,10,Married-spouse-absent,Adm-clerical,Other-relative,White,Female,0,0,40,Peru,<=50K +18,Private,295607,10th,6,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +84,?,163443,7th-8th,4,Widowed,?,Not-in-family,White,Male,0,0,3,United-States,<=50K +78,Self-emp-not-inc,213136,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,24,United-States,<=50K +23,Private,107882,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,50,United-States,<=50K +35,Private,214378,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +24,Private,236427,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +28,Private,34292,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,204780,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,15024,0,40,United-States,>50K +22,Private,161508,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +80,Private,151959,HS-grad,9,Widowed,Other-service,Not-in-family,Black,Male,0,0,15,United-States,<=50K +41,Private,196001,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,20,United-States,<=50K +27,Self-emp-not-inc,211259,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +45,Private,35136,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,>50K +52,Private,288353,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,48,United-States,>50K +48,Local-gov,93449,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,99999,0,40,Philippines,>50K +17,Private,40432,10th,6,Never-married,Adm-clerical,Own-child,White,Female,0,0,4,United-States,<=50K +60,Private,180632,12th,8,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +76,Private,204113,HS-grad,9,Widowed,Protective-serv,Not-in-family,White,Female,7896,0,18,United-States,<=50K +22,Private,336101,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +34,Private,235062,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +49,?,312552,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,2002,70,United-States,<=50K +39,Private,226947,7th-8th,4,Separated,Other-service,Other-relative,White,Male,0,0,40,El-Salvador,<=50K +40,Private,29393,HS-grad,9,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K +38,?,115376,Some-college,10,Married-civ-spouse,?,Wife,Black,Female,0,0,40,United-States,<=50K +52,Self-emp-inc,146574,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +28,State-gov,175389,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K +26,Self-emp-inc,316688,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +63,Self-emp-not-inc,187919,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +41,?,188436,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,20,Canada,<=50K +41,Private,80666,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +59,Self-emp-not-inc,381965,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1740,80,United-States,<=50K +31,Private,192039,Assoc-acdm,12,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +34,Self-emp-not-inc,181091,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K +40,Private,50191,9th,5,Divorced,Craft-repair,Unmarried,White,Male,5455,0,40,United-States,<=50K +29,Private,155256,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K +42,Private,104973,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,348771,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Canada,<=50K +55,Private,96415,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K +77,Private,213136,Doctorate,16,Widowed,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +59,Self-emp-inc,155259,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,20,United-States,<=50K +47,Private,95155,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,>50K +56,Private,178787,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,361497,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +61,State-gov,254890,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,296478,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +61,Private,179791,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +25,Self-emp-inc,110010,HS-grad,9,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,89622,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +56,State-gov,118614,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,State-gov,35683,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Local-gov,163815,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,2179,41,United-States,<=50K +49,Private,175305,7th-8th,4,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Self-emp-inc,96245,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,99,United-States,<=50K +27,Private,201017,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,<=50K +48,Private,95388,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +42,Private,249332,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +27,Private,194759,Assoc-acdm,12,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +61,Private,260062,10th,6,Never-married,Other-service,Own-child,White,Female,4416,0,38,United-States,<=50K +36,Self-emp-not-inc,166213,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +42,Private,46743,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,25,?,<=50K +20,Private,112387,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,324685,9th,5,Never-married,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K +34,Private,87943,7th-8th,4,Married-civ-spouse,Craft-repair,Wife,Other,Female,0,0,48,?,<=50K +45,Federal-gov,187510,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +26,Private,188703,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,127961,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +34,Private,200117,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Self-emp-inc,142030,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,>50K +30,Private,226296,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +27,Private,239130,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,165475,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,25,United-States,<=50K +46,Self-emp-inc,328216,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,45,United-States,>50K +21,?,118023,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K +42,Self-emp-not-inc,206066,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,45,United-States,<=50K +29,Local-gov,141005,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K +28,Private,104870,Assoc-voc,11,Never-married,Other-service,Not-in-family,Black,Female,0,0,48,United-States,<=50K +44,Self-emp-not-inc,253250,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,54,United-States,<=50K +39,Private,497788,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +42,Private,128354,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +49,Private,140782,10th,6,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,216129,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Female,0,0,45,United-States,<=50K +65,Private,65757,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +35,?,264758,Some-college,10,Married-civ-spouse,?,Husband,Black,Male,0,0,40,Haiti,<=50K +23,Private,245361,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,35,United-States,<=50K +48,Local-gov,216689,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,?,139517,11th,7,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +65,Local-gov,188903,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,6418,0,45,United-States,>50K +18,Private,170094,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,20,United-States,<=50K +53,Private,108836,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,189565,HS-grad,9,Married-civ-spouse,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,347993,1st-4th,2,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +49,Private,187308,Some-college,10,Married-civ-spouse,Other-service,Other-relative,White,Male,0,0,35,United-States,<=50K +27,State-gov,136077,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,State-gov,165457,Bachelors,13,Never-married,Tech-support,Own-child,Asian-Pac-Islander,Male,2463,0,40,United-States,<=50K +49,Federal-gov,175428,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +78,?,143574,Some-college,10,Widowed,?,Not-in-family,White,Male,0,0,5,United-States,<=50K +34,Private,349148,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +72,Private,103990,Masters,14,Married-civ-spouse,Other-service,Husband,White,Male,0,0,12,United-States,<=50K +55,Self-emp-inc,183884,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +21,Private,464484,HS-grad,9,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +41,Private,190786,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K +30,Private,348592,HS-grad,9,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,?,177839,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,152156,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,53,United-States,<=50K +55,Private,141807,HS-grad,9,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,40,Poland,<=50K +47,Local-gov,188537,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,60,United-States,>50K +43,Private,203233,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +51,Private,28978,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Self-emp-inc,116211,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +18,?,97683,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K +19,Private,283945,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +43,Private,115178,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,43,United-States,>50K +48,State-gov,77102,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +23,Private,132220,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,129301,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +22,Private,187592,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K +34,Private,312667,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +36,Local-gov,206951,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,587310,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Own-child,White,Male,0,0,40,El-Salvador,<=50K +76,Private,328227,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,5556,0,13,United-States,>50K +35,Private,100634,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Private,274200,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,72,United-States,<=50K +18,Self-emp-inc,29582,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K +68,Private,174812,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,15,United-States,<=50K +22,State-gov,138513,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,15,United-States,<=50K +37,Private,219137,7th-8th,4,Divorced,Sales,Unmarried,White,Female,0,0,44,United-States,<=50K +23,Private,265148,Bachelors,13,Never-married,Sales,Other-relative,White,Male,0,0,55,United-States,<=50K +41,Private,302606,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +18,Private,197600,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +36,Private,167415,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +44,Private,13769,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K +26,Private,109390,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,218188,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,32,United-States,<=50K +49,Private,167159,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +72,Private,128529,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,28,United-States,<=50K +22,Private,200973,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Female,0,0,12,United-States,<=50K +22,Private,118235,HS-grad,9,Never-married,Sales,Not-in-family,Amer-Indian-Eskimo,Male,0,0,55,United-States,<=50K +23,Local-gov,250165,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,594,0,40,United-States,<=50K +47,Private,269620,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,<=50K +46,Private,212162,5th-6th,3,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +25,Private,147638,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,India,<=50K +42,Private,304605,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,165267,9th,5,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +28,Private,122037,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +63,Self-emp-inc,165611,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +21,Private,262634,7th-8th,4,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,36,United-States,<=50K +46,Private,280766,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,Cuba,<=50K +21,Private,226668,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,Other,Male,0,0,40,United-States,<=50K +37,Private,130200,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K +17,Private,98005,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +47,Private,308857,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +51,Private,108914,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +64,Local-gov,210464,Masters,14,Widowed,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +30,Private,172748,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,192140,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +21,Private,126568,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K +50,Private,179339,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +43,Local-gov,31621,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +39,Private,365009,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,344698,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,United-States,<=50K +42,Private,159911,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,24,United-States,<=50K +25,Private,389456,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K +48,Private,167472,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,Private,201412,10th,6,Never-married,Farming-fishing,Own-child,White,Male,594,0,5,United-States,<=50K +26,Self-emp-not-inc,331861,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K +58,Private,97541,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,46,United-States,>50K +34,Private,71865,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,Other,Female,0,0,40,Portugal,<=50K +29,Private,196564,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,218956,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,20,United-States,<=50K +27,Private,37359,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,?,<=50K +41,Private,184630,Bachelors,13,Divorced,Handlers-cleaners,Not-in-family,White,Male,4416,0,40,United-States,<=50K +17,Local-gov,161955,11th,7,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,30,United-States,<=50K +24,Private,200089,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Guatemala,<=50K +39,Self-emp-not-inc,193026,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +72,Self-emp-not-inc,336423,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +52,State-gov,184529,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +30,Private,153876,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,53,United-States,<=50K +22,Private,269687,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +27,Private,153805,Some-college,10,Never-married,Craft-repair,Unmarried,Other,Male,0,0,45,Ecuador,<=50K +43,Private,151504,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,330087,Assoc-acdm,12,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,Private,164970,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,60,United-States,<=50K +23,Private,239539,Some-college,10,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,40,?,>50K +55,Self-emp-not-inc,50215,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,White,Female,0,0,42,United-States,<=50K +51,Local-gov,80123,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,35,United-States,<=50K +54,?,55139,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,43,United-States,<=50K +44,?,276096,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,45,United-States,<=50K +41,Private,222813,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +24,Private,172232,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,<=50K +54,Self-emp-not-inc,386773,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +38,Private,87556,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,State-gov,169926,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,21,United-States,>50K +41,Private,104196,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +34,Private,320027,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +59,Private,116637,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,307640,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +69,?,138386,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,1409,0,35,United-States,<=50K +25,Private,269015,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K +30,Private,90308,Preschool,1,Never-married,Other-service,Unmarried,White,Male,0,0,28,El-Salvador,<=50K +41,Local-gov,39581,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,4101,0,40,United-States,<=50K +49,Self-emp-not-inc,241688,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,Cuba,<=50K +22,Local-gov,467759,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,48,United-States,<=50K +39,Private,303677,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,15,United-States,<=50K +56,Private,47392,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +37,Private,97925,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Local-gov,243240,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +29,Private,472344,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K +41,Private,177054,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +43,Local-gov,212206,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +34,Private,244147,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +29,Private,167336,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,50,United-States,<=50K +43,State-gov,135060,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,?,>50K +49,Private,52184,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,159187,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K +35,Federal-gov,22494,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +36,Private,219745,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +67,Private,113323,Masters,14,Divorced,Adm-clerical,Unmarried,White,Male,0,0,41,United-States,<=50K +36,Private,181099,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,216741,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Local-gov,106365,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Private,124973,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +37,Private,73199,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +49,Federal-gov,362679,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,9,United-States,>50K +29,Private,197222,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Private,33115,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Federal-gov,37997,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,162067,Masters,14,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,Haiti,<=50K +35,Private,133839,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +33,Self-emp-not-inc,398874,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +26,Self-emp-inc,289224,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,261259,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +61,Private,438587,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +31,Private,271162,11th,7,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +66,?,115880,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K +21,Private,29810,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,277695,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,Mexico,<=50K +35,Private,277347,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K +43,?,220445,HS-grad,9,Widowed,?,Own-child,Black,Male,0,0,40,United-States,<=50K +29,Private,231507,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +28,Private,184477,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +24,Private,174714,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K +24,Private,118792,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K +46,Local-gov,274689,Assoc-acdm,12,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,148315,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,45,United-States,<=50K +24,Private,99844,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,60,United-States,<=50K +36,State-gov,143437,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Other,Female,0,0,40,United-States,<=50K +22,Private,114357,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,55,United-States,<=50K +46,?,427055,Some-college,10,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,>50K +68,Local-gov,137518,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,33,United-States,<=50K +33,Private,183125,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +28,Private,269317,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,<=50K +46,State-gov,107682,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +30,Private,159589,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,50,United-States,>50K +50,Private,46401,Bachelors,13,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,20,Germany,<=50K +69,Self-emp-not-inc,164754,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K +63,?,109446,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,314068,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,242138,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +39,Federal-gov,203070,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +39,Private,266960,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,25,United-States,<=50K +29,Self-emp-not-inc,239511,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K +65,?,244749,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,20,Cuba,<=50K +23,Private,244698,5th-6th,3,Never-married,Farming-fishing,Other-relative,White,Male,0,0,35,Mexico,<=50K +25,Private,207258,9th,5,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K +61,Private,111563,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,27,United-States,<=50K +50,Private,233149,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +61,Private,166789,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2246,50,United-States,>50K +54,Self-emp-inc,22743,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,99999,0,70,United-States,>50K +41,Local-gov,180599,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,28738,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,259846,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +24,Self-emp-inc,158950,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +23,Private,185948,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +67,?,187553,7th-8th,4,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Private,169092,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,5178,0,40,Canada,>50K +40,Private,129298,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,120204,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Local-gov,229337,HS-grad,9,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,183674,12th,8,Married-spouse-absent,Sales,Unmarried,White,Female,0,0,25,?,<=50K +34,Private,538243,Some-college,10,Separated,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +38,Private,108947,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,2174,0,40,United-States,<=50K +35,Private,128516,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,<=50K +28,Private,147560,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,131808,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,40,United-States,>50K +33,Private,234537,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Local-gov,165160,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +51,Private,90275,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K +26,Local-gov,143583,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Self-emp-not-inc,210020,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,135603,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,<=50K +59,?,441227,Masters,14,Married-civ-spouse,?,Husband,Black,Male,7298,0,50,United-States,>50K +38,Private,341943,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +64,Private,38274,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,327435,Some-college,10,Separated,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,>50K +27,Federal-gov,175262,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,376474,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,65,United-States,<=50K +38,Private,171150,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,3781,0,78,United-States,<=50K +32,Private,459465,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,El-Salvador,<=50K +37,Local-gov,188391,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Male,0,0,60,United-States,>50K +37,Private,196373,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +28,Private,122913,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +35,State-gov,37314,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K +37,Private,198492,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,20946,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,281608,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +31,Self-emp-not-inc,213643,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,1590,60,United-States,<=50K +18,Private,39222,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +23,Private,208238,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +53,Private,261207,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Peru,<=50K +36,Private,131192,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +75,Private,148214,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +54,Self-emp-not-inc,155965,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,56,United-States,<=50K +25,Private,269004,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,97883,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,48,Italy,<=50K +52,Private,177942,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +38,Local-gov,360494,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +45,Self-emp-not-inc,45136,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K +28,Private,173483,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,5013,0,20,United-States,<=50K +19,Private,205953,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,20,United-States,<=50K +41,Private,169823,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,46,United-States,>50K +18,Private,99591,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +42,Private,32627,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,378009,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +48,Private,233511,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +51,Private,173987,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +45,Private,162302,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K +24,Private,192812,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +65,Private,217661,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2246,40,United-States,>50K +61,Private,353031,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +21,Private,155483,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,274158,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,United-States,<=50K +35,Local-gov,26987,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1876,45,United-States,<=50K +49,Private,68493,HS-grad,9,Married-spouse-absent,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K +19,?,257421,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,15,United-States,<=50K +26,Private,38257,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +22,Local-gov,175586,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Female,0,0,20,United-States,<=50K +49,Private,316323,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,48,United-States,>50K +36,Private,117802,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +18,Self-emp-not-inc,454950,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +17,Private,284277,11th,7,Never-married,Other-service,Own-child,White,Male,1055,0,20,United-States,<=50K +32,State-gov,90409,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +43,Private,248094,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,>50K +29,Private,138692,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,173938,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +65,?,146722,12th,8,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K +31,Private,145439,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +24,Private,324445,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,176410,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K +25,Private,129275,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,399123,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +51,Private,76044,Masters,14,Divorced,Prof-specialty,Unmarried,Other,Male,4787,0,35,Mexico,>50K +28,Private,87632,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,43,United-States,<=50K +33,Private,269605,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,32,United-States,<=50K +46,Private,37718,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,50,United-States,>50K +70,?,162659,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +45,Self-emp-not-inc,277434,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +28,Private,209205,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,44,United-States,<=50K +75,?,34235,HS-grad,9,Widowed,?,Not-in-family,White,Female,2964,0,14,United-States,<=50K +41,Private,141186,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +48,Private,123681,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +31,Private,174215,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,United-States,<=50K +17,Private,96354,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +64,?,109108,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +37,Private,107302,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +51,Local-gov,250054,Some-college,10,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Private,50459,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1740,40,United-States,<=50K +57,Local-gov,22975,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +29,Private,97189,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +28,Private,238859,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,20,United-States,<=50K +26,State-gov,239303,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,3942,0,7,United-States,<=50K +33,Private,310655,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +42,Private,276218,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K +30,Private,94235,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +45,Private,135339,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,45,United-States,<=50K +20,Private,199703,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,28,United-States,<=50K +36,Private,52532,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +64,State-gov,186376,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,40,United-States,>50K +29,Private,229124,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,>50K +18,Private,152508,11th,7,Married-civ-spouse,Sales,Wife,Other,Female,0,0,20,United-States,<=50K +45,Private,54260,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K +31,Private,48520,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K +66,Self-emp-not-inc,439777,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K +49,Private,191389,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,118714,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,34616,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +29,?,199074,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +20,?,112858,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,2,United-States,<=50K +22,Private,199555,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,<=50K +21,?,211013,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +46,Private,107425,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +62,Private,106549,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +41,State-gov,110556,Masters,14,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,<=50K +46,Self-emp-not-inc,265097,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,<=50K +41,Private,215219,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +61,Self-emp-not-inc,142988,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +64,Private,239450,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +18,Private,162084,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,83066,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +36,Private,181705,Some-college,10,Separated,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +80,Private,138737,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,20,United-States,<=50K +24,Federal-gov,332194,9th,5,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,40,United-States,<=50K +20,Private,291979,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,35,United-States,<=50K +64,Private,162761,Some-college,10,Widowed,Sales,Not-in-family,White,Male,2354,0,35,United-States,<=50K +21,Private,153643,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,70,United-States,<=50K +52,Private,30908,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +31,Private,92179,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +66,Self-emp-inc,50408,12th,8,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K +50,Federal-gov,191013,HS-grad,9,Separated,Sales,Other-relative,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +62,Private,170969,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +19,?,302229,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,10,United-States,<=50K +49,Private,80026,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +33,Private,93056,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +38,Local-gov,414791,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +20,Private,37894,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,1719,30,United-States,<=50K +31,Local-gov,164243,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,55,United-States,>50K +41,Self-emp-not-inc,36651,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +22,Self-emp-not-inc,26248,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,50,United-States,<=50K +41,Private,244522,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,42,United-States,>50K +39,Private,183279,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K +63,Private,177063,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,220220,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,47,United-States,<=50K +58,Private,180779,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,238787,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,20,United-States,<=50K +38,Private,32086,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,52,United-States,<=50K +35,Private,302149,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,>50K +43,Self-emp-not-inc,136986,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K +47,State-gov,61062,Doctorate,16,Separated,Exec-managerial,Own-child,Asian-Pac-Islander,Male,2354,0,45,United-States,<=50K +33,Private,260782,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +21,Private,82061,5th-6th,3,Never-married,Craft-repair,Not-in-family,Other,Male,0,0,32,Mexico,<=50K +22,Private,254351,HS-grad,9,Married-civ-spouse,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,128699,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +59,Private,171328,Bachelors,13,Married-spouse-absent,Prof-specialty,Other-relative,Black,Female,2202,0,37,United-States,<=50K +24,?,152719,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,15,Haiti,<=50K +42,Private,97688,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,40,United-States,>50K +33,Private,199248,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +25,Private,67240,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K +27,Private,1490400,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,188503,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,>50K +40,Private,180206,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +27,Private,201872,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,314373,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +36,Private,107737,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K +44,Private,209093,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Local-gov,218357,HS-grad,9,Separated,Transport-moving,Unmarried,White,Female,0,0,25,United-States,<=50K +43,Private,163434,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +43,Private,326701,5th-6th,3,Separated,Craft-repair,Not-in-family,Other,Male,0,0,40,Mexico,<=50K +41,Private,164612,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K +29,Self-emp-not-inc,37429,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K +31,Private,408208,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,30,United-States,<=50K +54,Private,105638,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,81259,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,36,United-States,<=50K +37,Private,201141,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,394927,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +52,Federal-gov,165998,Prof-school,15,Married-civ-spouse,Armed-Forces,Husband,White,Male,7298,0,50,United-States,>50K +40,Private,41888,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,2415,70,United-States,>50K +24,Private,72887,HS-grad,9,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +49,Private,56551,9th,5,Divorced,Craft-repair,Unmarried,White,Female,5455,0,45,United-States,<=50K +22,Private,227603,Some-college,10,Never-married,Prof-specialty,Unmarried,White,Female,0,0,30,United-States,<=50K +28,Private,203776,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Poland,<=50K +61,Private,202060,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,34,United-States,<=50K +59,Private,178282,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7688,0,40,United-States,>50K +31,Private,57151,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,399455,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,52,United-States,<=50K +37,Private,52630,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,124692,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +21,Private,278254,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +40,Private,162098,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,304143,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +37,Federal-gov,287031,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +38,Private,102478,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,172425,HS-grad,9,Married-spouse-absent,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K +48,Private,56664,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,247514,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,>50K +30,Private,307353,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K +37,Private,111129,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,39,United-States,<=50K +29,Private,190539,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,Greece,>50K +47,Self-emp-inc,224314,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +47,Self-emp-not-inc,59987,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2002,42,United-States,<=50K +33,Local-gov,111746,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,48,United-States,<=50K +24,Private,162958,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,1980,50,United-States,<=50K +68,?,129802,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,12,United-States,<=50K +43,Private,303155,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +25,Private,301634,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,156294,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +50,Private,145033,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,60,United-States,>50K +19,?,768659,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,60,United-States,<=50K +32,Private,134679,11th,7,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,40,United-States,<=50K +30,Private,188798,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +41,Private,122033,Some-college,10,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,99,United-States,<=50K +21,?,223515,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,235124,12th,8,Divorced,Other-service,Not-in-family,White,Male,0,0,30,?,<=50K +47,Private,341814,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,<=50K +34,State-gov,764638,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,4787,0,47,United-States,>50K +47,Federal-gov,303637,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +31,Private,307543,10th,6,Never-married,Transport-moving,Own-child,White,Male,0,0,99,Cuba,<=50K +45,Local-gov,151267,Some-college,10,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,25,United-States,<=50K +40,Private,157403,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,38,United-States,<=50K +31,Private,124483,Masters,14,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,60,India,>50K +32,Private,26803,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +40,Private,131899,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,119992,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2603,60,United-States,<=50K +31,Private,198068,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +31,Private,264351,12th,8,Separated,Adm-clerical,Own-child,White,Male,0,0,40,Mexico,<=50K +18,?,352430,11th,7,Never-married,?,Own-child,White,Male,0,1602,30,United-States,<=50K +61,Private,29797,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K +28,Private,54670,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,0,40,?,<=50K +47,Private,192713,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +55,Self-emp-inc,79662,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +35,Private,190023,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,301251,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,115336,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +58,Self-emp-not-inc,98015,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,32,United-States,>50K +33,Self-emp-not-inc,48189,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +33,Private,248754,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +30,Private,195602,12th,8,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,44,United-States,<=50K +45,State-gov,185797,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,3325,0,60,United-States,<=50K +51,Private,192588,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Philippines,<=50K +44,Private,160837,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +54,Local-gov,128378,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,335846,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +19,Private,179991,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +31,Private,151763,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,127875,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +27,Self-emp-not-inc,132686,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +44,Self-emp-inc,240900,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +35,Private,65876,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K +46,State-gov,165852,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +30,Self-emp-not-inc,437458,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +63,Self-emp-not-inc,261995,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +37,Private,342480,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +58,Private,270131,5th-6th,3,Widowed,Other-service,Unmarried,White,Female,0,0,70,Mexico,<=50K +48,Private,216414,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,70,United-States,>50K +30,Private,259425,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K +45,Private,144086,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +63,Self-emp-not-inc,246124,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +53,Private,321865,Prof-school,15,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K +42,Private,32080,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Local-gov,201697,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +32,Local-gov,300687,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +27,Private,307724,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,?,<=50K +60,Private,40856,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,1741,40,United-States,<=50K +24,?,115085,HS-grad,9,Married-civ-spouse,?,Other-relative,White,Male,0,0,40,United-States,<=50K +37,State-gov,202139,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +34,Private,190151,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K +40,Local-gov,208277,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K +19,Private,107405,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,194096,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,162029,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,3325,0,40,United-States,<=50K +46,Private,172155,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Peru,<=50K +51,Self-emp-inc,114674,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +27,Private,116298,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Local-gov,320510,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,56,United-States,>50K +31,Private,158144,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,181651,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,51150,12th,8,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +41,State-gov,118544,Some-college,10,Divorced,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K +54,Private,85423,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +34,Private,56460,Bachelors,13,Never-married,Sales,Unmarried,White,Female,0,0,41,United-States,<=50K +28,Private,211208,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +17,Private,154337,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,13,United-States,<=50K +22,Private,125542,11th,7,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,175847,5th-6th,3,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,40,Mexico,>50K +34,Private,229731,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,35,El-Salvador,<=50K +45,Self-emp-not-inc,40666,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,2885,0,60,United-States,<=50K +58,Federal-gov,215900,HS-grad,9,Never-married,Adm-clerical,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +75,?,186792,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,16,United-States,<=50K +18,?,151552,11th,7,Never-married,?,Other-relative,White,Female,0,0,15,United-States,<=50K +45,Private,122002,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +32,Private,32174,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +34,Private,349148,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,63,United-States,<=50K +34,Private,209691,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,66,United-States,<=50K +49,Private,163021,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +18,Local-gov,283342,10th,6,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +41,?,45186,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,175398,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,45,United-States,<=50K +30,Private,175455,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +17,Private,194946,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +58,?,183869,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,3411,0,80,United-States,<=50K +19,?,167428,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,227615,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +44,Local-gov,196797,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,36,United-States,>50K +28,Local-gov,273051,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Local-gov,27085,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,235646,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +25,?,168358,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,167725,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,91819,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +27,Private,105830,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +59,Private,201159,12th,8,Widowed,Machine-op-inspct,Other-relative,White,Female,0,0,48,United-States,<=50K +18,Private,137363,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +27,Self-emp-not-inc,164725,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,3464,0,35,United-States,<=50K +47,Private,29438,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K +67,Private,131656,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2392,24,United-States,>50K +33,State-gov,35306,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,44,United-States,<=50K +63,Private,198206,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +40,Private,103513,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,143078,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,109494,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1485,40,United-States,<=50K +28,Private,52732,7th-8th,4,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,164495,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,Germany,<=50K +20,Self-emp-not-inc,105997,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +49,Federal-gov,105959,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,41,United-States,>50K +18,Private,216540,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,159623,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Federal-gov,87207,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,37,United-States,<=50K +57,Private,47621,9th,5,Married-civ-spouse,Other-service,Wife,White,Female,0,0,38,United-States,<=50K +35,Private,190297,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,65,United-States,>50K +66,Private,48034,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,16,United-States,<=50K +47,Local-gov,162236,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,>50K +57,Private,104724,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +25,Private,129806,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +35,Private,170174,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Local-gov,265148,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +29,Private,192237,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,406491,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,231866,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,292055,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Female,0,0,37,United-States,<=50K +30,Private,140612,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,40,United-States,<=50K +26,Private,191573,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +52,Private,203635,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +30,Private,171483,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,38,United-States,<=50K +36,Private,68798,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +34,Private,31752,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,White,Female,0,0,40,?,<=50K +59,?,291856,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,135848,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,10,Guatemala,<=50K +22,Private,72887,Some-college,10,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,24,United-States,<=50K +47,Private,275163,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +65,Private,29276,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,2538,0,50,United-States,<=50K +50,Private,224207,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +50,Local-gov,237356,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,40,United-States,>50K +29,Private,393829,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +58,Self-emp-not-inc,193720,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,20,United-States,<=50K +56,Self-emp-not-inc,140729,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +22,Private,54560,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +34,Self-emp-not-inc,214288,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,3411,0,80,United-States,<=50K +45,Self-emp-inc,88500,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K +30,Private,287092,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,2354,0,40,United-States,<=50K +40,Private,225263,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K +52,Local-gov,140027,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +44,Private,32000,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +44,Private,228516,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,20,Portugal,<=50K +27,Private,157612,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +24,Private,197200,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,44,United-States,<=50K +28,Private,89598,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,45,United-States,<=50K +40,Private,153799,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,72,?,>50K +67,?,101761,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +49,Private,225456,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +36,Private,348960,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +17,Local-gov,157111,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,85877,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,99999,0,60,United-States,>50K +72,Self-emp-not-inc,32819,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +21,?,517995,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +59,Private,103948,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,96016,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,60668,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,50,United-States,<=50K +29,Local-gov,270379,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +29,Private,190756,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +59,Local-gov,221417,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +23,Private,158940,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,55,United-States,<=50K +67,State-gov,121395,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,12,United-States,<=50K +26,Private,196866,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K +35,Private,302239,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,718736,Some-college,10,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,178615,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,158096,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,?,317988,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,15,United-States,<=50K +23,Private,325596,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,120461,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +80,?,30680,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K +22,Private,125010,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +67,Private,268781,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1510,8,United-States,<=50K +46,Private,36020,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,433682,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K +32,Local-gov,349148,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +44,Self-emp-inc,148805,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,33,United-States,<=50K +24,Private,285775,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Local-gov,126524,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,40,United-States,>50K +52,Private,270221,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,44,United-States,>50K +24,Private,117222,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,118941,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +59,Private,172667,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,241306,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5013,0,40,United-States,<=50K +33,State-gov,292317,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,182918,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,46,United-States,>50K +76,Self-emp-not-inc,106430,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +41,?,119207,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,377692,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,284907,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +65,Federal-gov,190160,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Male,0,1944,20,Poland,<=50K +65,Self-emp-inc,226215,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,169324,9th,5,Divorced,Other-service,Unmarried,Black,Female,0,0,40,Haiti,<=50K +22,Private,191460,10th,6,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,219155,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +66,?,52654,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K +64,Self-emp-not-inc,198466,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,70,United-States,<=50K +47,Private,255965,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +38,?,54953,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +25,Private,290441,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +44,Federal-gov,206927,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +66,Self-emp-inc,165609,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +33,Self-emp-inc,206609,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,1876,50,United-States,<=50K +64,Private,211846,10th,6,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,102446,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +26,Private,114483,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,199657,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +40,Private,192878,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,346081,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +24,Private,26668,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Puerto-Rico,<=50K +72,?,272425,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,3818,0,4,United-States,<=50K +68,Local-gov,159643,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,15,United-States,<=50K +51,?,22743,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K +21,Private,142875,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K +18,?,256304,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,30,United-States,<=50K +36,Private,163380,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +48,Private,162187,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +32,Private,153353,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +75,Self-emp-inc,134414,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +25,Private,39212,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,344060,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,Japan,>50K +17,Local-gov,140240,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +70,?,210722,Prof-school,15,Divorced,?,Not-in-family,White,Male,2538,0,45,United-States,<=50K +32,Private,285946,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +34,Private,216645,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +54,Private,54065,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +24,Private,44159,12th,8,Never-married,Other-service,Other-relative,Other,Male,0,0,40,Dominican-Republic,<=50K +46,Private,188729,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,Black,Female,0,0,50,United-States,<=50K +44,Self-emp-not-inc,296982,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,?,<=50K +56,Local-gov,277203,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +39,Private,153949,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +46,Federal-gov,269890,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K +35,Federal-gov,61518,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +39,Private,176050,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,47,United-States,>50K +25,Private,202700,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +18,Private,477083,11th,7,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +50,Private,221532,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +43,Private,282155,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,4650,0,40,United-States,<=50K +38,Private,365307,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K +26,Private,248776,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,166863,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +42,Private,191149,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +22,Private,126822,10th,6,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +20,Private,281743,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K +27,Private,212041,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +31,Private,264351,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Mexico,<=50K +54,Private,117198,HS-grad,9,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +38,Private,202937,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +53,?,201062,HS-grad,9,Married-civ-spouse,?,Wife,Black,Female,0,0,2,United-States,<=50K +51,Private,96062,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,99902,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Ireland,>50K +54,Private,76268,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,80,United-States,<=50K +64,Private,200517,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,39,United-States,<=50K +48,?,222478,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +19,?,168471,Some-college,10,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K +52,Private,403027,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +34,Self-emp-not-inc,201292,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +39,Self-emp-not-inc,360814,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +51,Private,155574,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +48,Private,135525,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,>50K +42,Self-emp-not-inc,24763,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K +38,Self-emp-inc,184456,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,Italy,>50K +40,Private,30412,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,State-gov,93225,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +60,Self-emp-not-inc,359988,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,12,United-States,<=50K +60,Self-emp-not-inc,122314,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K +59,Federal-gov,51662,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,137991,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,41,United-States,<=50K +47,State-gov,119458,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +42,Private,208068,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Other,Male,7298,0,40,Mexico,>50K +32,Private,219553,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +23,Private,308924,HS-grad,9,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +27,Private,169748,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +55,Private,164970,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,38,United-States,<=50K +39,Private,190987,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K +33,Private,250804,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,England,<=50K +30,Private,85374,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K +81,Private,39667,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,20,United-States,<=50K +41,Private,84817,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,3887,0,40,United-States,<=50K +38,Private,227615,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +54,Private,155737,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,8614,0,40,United-States,>50K +38,Private,133935,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,El-Salvador,>50K +22,Federal-gov,316438,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K +44,Private,107433,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +36,State-gov,28572,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,38,United-States,<=50K +32,Self-emp-not-inc,291414,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +22,Private,202153,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +45,Private,324655,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,27207,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K +30,Private,184435,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +34,Private,122749,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,32,United-States,<=50K +36,Private,181146,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K +21,Private,225311,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Self-emp-not-inc,33474,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +42,Private,126319,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +52,Private,247806,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +50,Private,85815,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,38,United-States,>50K +48,Private,204629,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +63,Private,195540,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,Black,Male,0,1408,40,United-States,<=50K +27,Private,113866,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +31,Private,114691,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Ireland,<=50K +22,?,227943,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,44,United-States,<=50K +45,Private,310260,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +35,Private,189922,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,52,United-States,>50K +54,Private,249949,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +23,?,38455,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,11,United-States,<=50K +51,Private,123429,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,40,United-States,>50K +71,Private,99549,5th-6th,3,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,98954,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +36,Private,49794,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +47,?,80451,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,129764,Some-college,10,Divorced,Sales,Unmarried,White,Male,1506,0,50,United-States,<=50K +29,Private,189702,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,10520,0,50,United-States,>50K +59,Self-emp-not-inc,78020,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,182843,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +42,Private,53956,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +31,State-gov,223376,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +44,Federal-gov,151933,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1485,40,United-States,>50K +47,Private,100931,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +23,Private,442478,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,15,United-States,<=50K +24,Private,153082,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +46,Private,182414,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +35,Local-gov,217926,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K +36,Private,176536,Some-college,10,Separated,Adm-clerical,Other-relative,Amer-Indian-Eskimo,Female,0,0,42,United-States,<=50K +37,Private,237943,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Poland,<=50K +20,Private,117789,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K +59,Private,113838,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,4650,0,37,United-States,<=50K +17,Private,278414,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +36,Private,122493,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,110820,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +28,Private,106141,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K +43,Self-emp-not-inc,215896,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,50,United-States,<=50K +49,Private,547108,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,15024,0,40,?,>50K +50,Federal-gov,169078,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,40,United-States,>50K +69,Self-emp-not-inc,227906,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3456,0,30,Germany,<=50K +57,Private,61298,5th-6th,3,Separated,Machine-op-inspct,Other-relative,White,Female,0,0,40,Ecuador,<=50K +49,Private,184285,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +48,Private,64156,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +61,Private,56248,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,>50K +51,Private,171275,7th-8th,4,Divorced,Other-service,Not-in-family,Other,Male,0,0,40,Peru,<=50K +41,Private,123490,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +60,Private,420842,Assoc-acdm,12,Divorced,Priv-house-serv,Other-relative,White,Female,0,0,40,?,<=50K +40,Private,51233,Bachelors,13,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,38,United-States,<=50K +36,Private,353263,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +17,Private,262031,12th,8,Never-married,Other-service,Other-relative,White,Male,0,0,20,United-States,<=50K +50,Private,334421,Prof-school,15,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,1590,25,China,<=50K +24,Private,200153,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +70,?,187972,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +29,Federal-gov,360186,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +20,Private,368832,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +36,Private,359131,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +35,Self-emp-not-inc,295279,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,37,United-States,<=50K +34,Private,378272,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,150817,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +40,Self-emp-not-inc,145246,Some-college,10,Divorced,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,185490,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,217424,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +24,Private,190483,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +50,Self-emp-not-inc,391016,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,30509,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,3908,0,50,United-States,<=50K +28,Private,267661,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K +57,Private,197369,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,393691,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +46,Private,168441,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +47,Self-emp-inc,85109,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +22,Private,190457,10th,6,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +37,Self-emp-not-inc,289430,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +39,Private,166697,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,35,United-States,<=50K +24,Local-gov,310355,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,Germany,<=50K +31,Private,300828,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,30,United-States,<=50K +20,Private,188923,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,37,United-States,<=50K +36,Private,167482,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +29,Private,114968,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,102988,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,Ecuador,>50K +67,Local-gov,330144,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,18,United-States,<=50K +47,Private,362654,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +35,Private,179481,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +42,Private,204817,Bachelors,13,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,35,United-States,<=50K +32,Private,172402,Some-college,10,Never-married,Adm-clerical,Unmarried,Other,Female,0,0,40,United-States,<=50K +44,Private,54611,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,State-gov,179151,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,30829,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K +50,Private,474229,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +46,Self-emp-not-inc,246981,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,23,United-States,<=50K +39,Private,271610,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +25,Private,179138,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,Local-gov,268722,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,20,United-States,<=50K +46,Private,111410,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Local-gov,125550,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,40,United-States,>50K +24,Private,51985,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,302584,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +90,Federal-gov,311184,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,99,United-States,<=50K +45,Local-gov,133969,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,Thailand,<=50K +41,Local-gov,214242,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,72,United-States,>50K +29,Private,372149,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K +53,Private,203967,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,147344,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Male,0,0,60,?,<=50K +45,Self-emp-inc,139268,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +38,Private,349198,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,21,United-States,>50K +43,Private,222756,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2002,44,United-States,<=50K +53,Local-gov,196395,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K +22,Private,316304,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K +44,Private,347653,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Germany,<=50K +40,Private,176063,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K +67,Private,176835,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Private,144092,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +23,Private,148709,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +31,Federal-gov,194141,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +28,Self-emp-inc,215423,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,70,United-States,<=50K +52,Self-emp-not-inc,128378,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,34431,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,180690,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,142712,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,57,United-States,>50K +43,State-gov,185619,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,35,United-States,>50K +36,Self-emp-not-inc,358373,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,30,United-States,<=50K +27,Private,81648,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,244580,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +31,Private,184570,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,State-gov,210150,Masters,14,Never-married,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Local-gov,212213,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +37,Private,182148,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,39,United-States,<=50K +29,Private,55390,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +58,Private,66788,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Male,0,0,40,Portugal,<=50K +43,Federal-gov,265604,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +21,Private,110677,Some-college,10,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,30,United-States,<=50K +34,Private,320077,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +56,Private,201817,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +43,Private,142725,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,1887,80,United-States,>50K +44,Self-emp-not-inc,53956,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +45,State-gov,116892,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +33,Private,34572,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +40,State-gov,287008,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +66,Local-gov,30740,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +27,Private,162104,7th-8th,4,Never-married,Priv-house-serv,Own-child,White,Female,0,0,30,United-States,<=50K +65,Private,237024,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,Mexico,<=50K +20,Private,228306,HS-grad,9,Never-married,Tech-support,Own-child,White,Female,0,0,32,United-States,<=50K +18,Private,127388,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +45,Private,72393,Bachelors,13,Married-spouse-absent,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K +55,Self-emp-inc,160813,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K +43,Private,255586,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +21,Private,342575,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,35,United-States,<=50K +28,Private,181466,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,234108,Assoc-acdm,12,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +28,Private,66414,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,227307,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,43,United-States,>50K +23,Private,157145,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +63,Private,252457,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Federal-gov,142769,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +32,Private,49539,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,3674,0,40,United-States,<=50K +33,Private,249438,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +30,Private,289293,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,3908,0,40,Dominican-Republic,<=50K +68,Self-emp-not-inc,198884,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K +53,Local-gov,229259,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +36,Private,289223,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1848,40,United-States,>50K +23,Private,42401,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +26,Private,295055,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K +42,State-gov,214781,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Male,0,1876,38,United-States,<=50K +20,Private,95552,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +53,Private,308764,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +36,Private,185394,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Private,358382,Some-college,10,Separated,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +35,Private,195946,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Thailand,<=50K +32,Private,296897,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K +41,Self-emp-not-inc,230961,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +22,Private,169022,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,48,United-States,<=50K +28,Private,209301,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1848,40,United-States,>50K +42,Private,252058,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,30012,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +33,Private,202046,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +22,Private,52262,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +60,Private,96660,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,33,United-States,<=50K +50,Self-emp-not-inc,200618,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +58,Private,177368,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,16,United-States,<=50K +22,Private,311311,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K +47,State-gov,142856,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +28,Private,134890,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,1974,50,United-States,<=50K +38,Self-emp-inc,179579,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +67,State-gov,173623,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,4931,0,30,United-States,<=50K +76,Self-emp-inc,99328,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,6514,0,40,United-States,>50K +41,Local-gov,224799,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +57,Self-emp-inc,231781,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +22,Private,41763,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Local-gov,51240,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +30,Private,206923,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,Other,Female,0,1977,40,United-States,>50K +30,Self-emp-inc,132601,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +27,Private,357348,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,2202,0,40,United-States,<=50K +22,Private,150683,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K +40,Self-emp-inc,188615,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,20,United-States,>50K +73,Private,159007,Bachelors,13,Divorced,Farming-fishing,Other-relative,White,Female,0,0,12,United-States,<=50K +23,Private,130959,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,2407,0,6,Canada,<=50K +51,Private,158746,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,United-States,>50K +29,Private,498833,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Nicaragua,<=50K +46,Private,193188,Masters,14,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +29,Self-emp-inc,136277,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,16,United-States,<=50K +34,Private,137991,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +38,Self-emp-not-inc,187098,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,<=50K +62,Private,176839,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +30,State-gov,185384,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K +20,Private,87867,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,111779,11th,7,Divorced,Other-service,Unmarried,Black,Female,0,0,36,United-States,<=50K +37,Local-gov,185556,HS-grad,9,Separated,Protective-serv,Not-in-family,White,Male,0,1980,35,United-States,<=50K +56,Private,59469,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,<=50K +63,Private,164435,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +25,Private,259336,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,Peru,<=50K +40,Self-emp-not-inc,277488,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +53,Private,104258,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,141427,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +32,Private,267052,10th,6,Never-married,Farming-fishing,Unmarried,Black,Female,0,0,40,United-States,<=50K +33,Private,114764,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Local-gov,151143,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +37,Private,176357,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,190303,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,2463,0,15,United-States,<=50K +28,Private,220692,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +46,Private,181970,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +42,Private,263339,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K +21,Self-emp-not-inc,83704,9th,5,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +24,Private,324960,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K +53,Private,96062,9th,5,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +54,Private,96678,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +36,Private,33435,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +52,Self-emp-not-inc,399008,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,5013,0,40,United-States,<=50K +71,Private,159722,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,25,United-States,<=50K +36,Private,225172,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,135033,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Ecuador,<=50K +38,Private,179671,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,<=50K +56,Private,182460,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Private,231196,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +55,Private,181974,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,326104,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +51,Self-emp-inc,126850,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K +23,Private,33644,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +40,Private,92649,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +20,Private,353696,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,28,United-States,<=50K +36,Private,238342,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,882849,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +49,Self-emp-inc,318280,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +35,Private,151322,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K +31,Self-emp-inc,111567,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,279996,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +48,Private,103743,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2002,70,United-States,<=50K +53,Private,30846,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,191393,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Male,0,1380,40,United-States,<=50K +35,State-gov,140564,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,5013,0,40,United-States,<=50K +37,Federal-gov,243177,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +55,Local-gov,104996,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,15,United-States,<=50K +27,Local-gov,191202,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,45,United-States,<=50K +47,Private,247379,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K +44,Private,96129,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +47,?,58440,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,<=50K +24,Private,125031,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +23,Private,183772,Assoc-acdm,12,Never-married,Adm-clerical,Other-relative,White,Female,0,0,70,United-States,<=50K +37,Private,78488,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K +32,Self-emp-not-inc,121058,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +43,Private,84673,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,>50K +30,Private,172830,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,3325,0,40,United-States,<=50K +36,Private,307520,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K +21,Private,327797,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,108945,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K +52,Private,164473,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,38,United-States,<=50K +40,Private,144778,Bachelors,13,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K +54,Private,69477,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,60,United-States,>50K +45,Private,137946,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +28,Private,167737,Bachelors,13,Widowed,Other-service,Own-child,White,Male,0,1974,50,United-States,<=50K +30,Private,195602,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,?,<=50K +31,Private,140206,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +42,Self-emp-inc,272551,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,1564,60,United-States,>50K +24,Private,114939,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +45,Local-gov,265477,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,France,>50K +51,Local-gov,252029,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K +29,Self-emp-inc,263786,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K +35,Private,397877,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,316438,5th-6th,3,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K +34,Local-gov,283921,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,199903,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +42,Private,339814,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +19,?,191140,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +33,Private,174215,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,>50K +32,Private,124420,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,289228,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,45,United-States,>50K +27,Private,200610,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2580,0,40,United-States,<=50K +36,Private,140327,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,7298,0,35,United-States,>50K +39,Local-gov,86643,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,<=50K +33,Private,226624,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,365516,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +27,Private,153288,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,235124,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,?,<=50K +28,Self-emp-inc,160731,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,Private,230999,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +38,Private,453663,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +28,Private,250967,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2105,0,40,United-States,<=50K +22,?,96844,Some-college,10,Never-married,?,Not-in-family,White,Female,0,1602,20,United-States,<=50K +41,Federal-gov,149102,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,1980,40,United-States,<=50K +42,Private,226452,9th,5,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,Mexico,<=50K +36,Private,34378,7th-8th,4,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,60,United-States,<=50K +37,Local-gov,177277,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +38,Local-gov,316470,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +55,Local-gov,293104,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,380357,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,?,>50K +36,Private,101318,Some-college,10,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,China,>50K +32,?,339099,Some-college,10,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +52,Private,131662,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +20,Private,163333,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,20,United-States,<=50K +43,Private,71738,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +35,Private,141276,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +61,Private,242552,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,37,Honduras,<=50K +30,Private,246439,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +38,Federal-gov,81232,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +31,Private,157568,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,117476,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +28,State-gov,198201,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K +57,Private,167483,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +19,Self-emp-inc,150384,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +18,?,96244,Some-college,10,Never-married,?,Own-child,White,Male,0,0,45,United-States,<=50K +34,Private,33678,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,4508,0,35,United-States,<=50K +42,Private,180985,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K +36,Private,101192,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +33,Private,207561,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +32,Private,105749,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +41,Self-emp-inc,443508,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,60,United-States,>50K +23,Private,249087,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +31,Local-gov,279231,Assoc-voc,11,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,180477,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Private,144522,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,El-Salvador,<=50K +36,Local-gov,248263,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,?,498411,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +57,Private,102442,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +20,Private,262877,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,55,United-States,<=50K +66,Self-emp-not-inc,325537,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +22,Private,161638,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,Columbia,<=50K +46,Self-emp-not-inc,24367,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,>50K +38,Private,108140,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K +63,?,205110,10th,6,Widowed,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K +43,Self-emp-inc,504423,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,Japan,>50K +37,Private,264700,HS-grad,9,Married-civ-spouse,Tech-support,Wife,Black,Female,0,0,35,United-States,<=50K +22,Private,335067,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,20,United-States,<=50K +58,Private,153551,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,23,United-States,<=50K +43,Private,186077,HS-grad,9,Widowed,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K +55,Local-gov,85001,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K +45,Self-emp-not-inc,216999,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,107231,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +36,Self-emp-not-inc,52870,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,50,United-States,>50K +73,Self-emp-not-inc,228899,7th-8th,4,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,99,United-States,<=50K +29,Local-gov,90956,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,186934,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +57,Self-emp-inc,37394,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +25,?,30840,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,40,Germany,<=50K +32,Private,185177,Assoc-voc,11,Separated,Tech-support,Own-child,White,Male,0,1590,40,United-States,<=50K +34,Private,312055,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +20,Private,176262,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +51,Self-emp-inc,161482,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +51,Private,373448,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2002,40,United-States,<=50K +45,Self-emp-not-inc,277630,Some-college,10,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,48,United-States,<=50K +68,Self-emp-not-inc,150904,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Female,0,0,35,United-States,<=50K +73,Private,187334,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,328937,7th-8th,4,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K +35,Local-gov,132879,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,49159,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +38,Private,133299,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,55,United-States,<=50K +62,?,268315,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,176430,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,211344,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,162302,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,32,United-States,<=50K +51,Private,229225,Masters,14,Divorced,Other-service,Not-in-family,Black,Female,0,0,18,United-States,>50K +49,Self-emp-not-inc,77404,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,?,>50K +51,Local-gov,202044,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K +28,Private,94128,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,?,189888,Assoc-acdm,12,Never-married,?,Not-in-family,White,Male,0,0,48,United-States,<=50K +32,Private,94041,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +50,State-gov,322840,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Poland,>50K +47,Federal-gov,746660,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1887,40,United-States,>50K +54,Private,84587,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,38,Philippines,<=50K +41,Private,33126,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K +29,Private,247445,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Self-emp-not-inc,210377,10th,6,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,<=50K +19,?,239862,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K +33,Private,327112,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +37,Self-emp-not-inc,188563,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +62,?,189098,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K +27,Private,26326,Assoc-voc,11,Divorced,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +46,Private,145636,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,50,United-States,>50K +45,State-gov,255456,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,India,>50K +35,Private,196373,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1672,40,United-States,<=50K +32,Private,167476,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +32,State-gov,59083,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +36,Self-emp-not-inc,186934,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +62,?,188650,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K +33,Federal-gov,373043,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,34,Germany,<=50K +51,Private,250423,Some-college,10,Married-spouse-absent,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +29,Private,334032,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,State-gov,89487,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,230205,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,2001,32,United-States,<=50K +33,Private,212980,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +32,Private,351770,Some-college,10,Divorced,Farming-fishing,Unmarried,White,Female,0,0,40,United-States,<=50K +35,State-gov,167482,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,1980,40,United-States,<=50K +23,Private,42251,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Self-emp-not-inc,52822,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K +41,Private,229472,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,93034,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K +35,Private,415167,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +76,Self-emp-not-inc,161182,Some-college,10,Widowed,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K +38,Private,166549,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +42,Private,36296,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,272442,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +22,Private,366139,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K +30,Self-emp-inc,127651,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,65,United-States,>50K +59,Private,158077,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,154950,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +30,Local-gov,197886,Assoc-acdm,12,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,211518,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +26,Private,214303,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +34,Private,154120,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +53,Private,186303,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,488459,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +66,Private,423883,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,117963,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +57,Self-emp-not-inc,38430,7th-8th,4,Widowed,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K +30,Private,176969,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,?,116839,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +23,Private,212407,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +35,Local-gov,110075,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,50,United-States,>50K +40,Private,183096,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +45,Federal-gov,126754,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +28,Private,216178,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,188391,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +17,?,27251,11th,7,Widowed,?,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,40230,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,60,United-States,<=50K +47,Private,100009,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K +27,?,222442,Some-college,10,Divorced,?,Own-child,White,Male,0,0,25,El-Salvador,<=50K +24,Local-gov,403471,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,48,United-States,<=50K +52,Private,161482,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,83141,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,4416,0,53,United-States,<=50K +68,Self-emp-inc,31661,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K +35,Private,101073,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +53,Local-gov,99682,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,2174,0,40,United-States,<=50K +23,Private,215395,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,343476,11th,7,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +21,Private,178363,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K +52,Private,95872,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,?,<=50K +49,Private,90907,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Outlying-US(Guam-USVI-etc),>50K +42,Private,165309,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K +35,Private,208358,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,37,United-States,>50K +42,Private,171069,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Black,Male,15024,0,40,United-States,>50K +46,Private,53540,Some-college,10,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,>50K +48,Private,29433,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,55,United-States,<=50K +48,Self-emp-not-inc,175622,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +52,Private,231865,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,46,United-States,<=50K +51,Private,266336,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,50,United-States,>50K +44,Self-emp-not-inc,190290,Some-college,10,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,80,France,<=50K +74,Self-emp-not-inc,45319,12th,8,Married-civ-spouse,Other-service,Husband,White,Male,1409,0,20,Canada,<=50K +17,Never-worked,131593,11th,7,Never-married,?,Own-child,Black,Female,0,0,20,United-States,<=50K +24,Local-gov,177913,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Private,457357,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +43,Self-emp-inc,253811,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,55,United-States,>50K +48,Private,501671,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,48,United-States,<=50K +35,State-gov,227128,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +40,Federal-gov,39137,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Self-emp-not-inc,121038,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,43,United-States,<=50K +53,State-gov,119570,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +29,?,99297,HS-grad,9,Married-civ-spouse,?,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Cambodia,<=50K +28,Self-emp-not-inc,169460,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K +33,Private,261639,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,4064,0,40,United-States,<=50K +21,Private,214542,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,22,United-States,<=50K +31,Private,141410,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +39,Private,370549,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,>50K +44,Self-emp-not-inc,234767,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,>50K +40,Private,104196,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +22,State-gov,52262,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,England,<=50K +22,?,285775,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +60,Private,235336,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,70,United-States,<=50K +49,Private,165539,Some-college,10,Never-married,Priv-house-serv,Not-in-family,Black,Female,0,0,90,Jamaica,<=50K +41,Private,362815,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +24,State-gov,292816,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +26,Private,66692,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Private,120910,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Self-emp-inc,116133,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,41,United-States,<=50K +49,State-gov,247043,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,215616,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +23,Private,131415,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K +64,Self-emp-not-inc,169604,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,>50K +50,Private,230858,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +23,Private,73968,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +28,Private,339897,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +31,Private,258406,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,Mexico,<=50K +30,Private,180574,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +44,Private,88808,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,179627,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,149823,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +20,Private,60639,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,46492,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,1902,40,United-States,>50K +36,Private,48520,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,306538,12th,8,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +58,Private,204678,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K +48,Private,218676,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +35,Local-gov,95455,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K +53,Self-emp-not-inc,335655,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +55,Private,194436,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +24,Private,152724,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K +28,Private,242482,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +31,Local-gov,162041,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +23,Private,291854,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +22,?,48343,Some-college,10,Never-married,?,Other-relative,Black,Female,0,0,40,United-States,<=50K +77,?,153113,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,1455,0,25,United-States,<=50K +38,Private,80680,10th,6,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,?,211601,Assoc-voc,11,Never-married,?,Own-child,Black,Female,0,0,15,United-States,<=50K +31,Self-emp-inc,264554,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1977,40,United-States,>50K +29,Private,319998,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,194228,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +62,Self-emp-not-inc,236247,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +28,Self-emp-not-inc,123983,Masters,14,Divorced,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,54,South,<=50K +49,Private,166215,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,178623,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,35,United-States,<=50K +51,Self-emp-not-inc,174102,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,8,United-States,<=50K +32,Private,292217,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,40,?,<=50K +44,Private,198452,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,96497,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +62,?,194660,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +37,Private,216924,HS-grad,9,Divorced,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K +26,Private,206721,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K +37,State-gov,49105,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,25,United-States,<=50K +62,Federal-gov,164021,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +46,Private,91608,Prof-school,15,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,323963,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +42,Private,70037,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +61,Private,289950,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K +65,Private,213149,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +44,Federal-gov,320451,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,15024,0,40,Philippines,>50K +22,Private,351952,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K +50,Private,146015,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,281704,Some-college,10,Never-married,Farming-fishing,Other-relative,White,Male,0,0,8,United-States,<=50K +44,Federal-gov,786418,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,60,United-States,<=50K +29,Private,214689,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,193188,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +55,Self-emp-inc,142020,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,<=50K +78,?,317311,HS-grad,9,Widowed,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,213416,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +47,Federal-gov,326048,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,191265,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +47,Private,348986,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,28,Taiwan,<=50K +24,Private,126613,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +26,?,40032,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,150057,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Poland,<=50K +39,Private,113725,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,8614,0,40,United-States,>50K +24,Private,140500,10th,6,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,113364,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +65,Private,176219,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,South,<=50K +19,Private,146189,HS-grad,9,Never-married,Sales,Other-relative,Amer-Indian-Eskimo,Female,0,0,78,United-States,<=50K +45,Private,83993,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,56,United-States,>50K +33,Private,194336,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,50,United-States,>50K +61,State-gov,349434,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +55,Private,142020,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +27,Private,48894,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,42,United-States,<=50K +29,Private,226295,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,36,United-States,<=50K +40,Private,77313,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,>50K +36,Private,305935,HS-grad,9,Divorced,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K +23,Private,287988,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K +49,Local-gov,49275,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +39,Private,102865,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,209146,Masters,14,Divorced,Sales,Not-in-family,White,Male,27828,0,40,United-States,>50K +40,Private,173001,Some-college,10,Married-civ-spouse,Tech-support,Own-child,White,Female,0,1902,40,United-States,>50K +40,Private,277256,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,2559,55,United-States,>50K +46,Private,20534,Masters,14,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +35,Private,60227,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,State-gov,176936,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +42,Private,49255,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,4386,0,40,United-States,>50K +64,?,232787,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,235095,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,190531,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,35,United-States,<=50K +64,Without-pay,209291,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,>50K +23,Private,109053,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,60,United-States,<=50K +22,Private,183594,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,361608,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,257028,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,Haiti,<=50K +34,Private,66561,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,37,United-States,<=50K +21,Private,176486,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K +21,Private,565313,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +34,Local-gov,198953,Some-college,10,Divorced,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K +68,State-gov,99106,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +45,Private,213140,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,52,United-States,>50K +33,Private,66384,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,<=50K +41,Private,483201,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +19,?,466458,Some-college,10,Never-married,?,Own-child,White,Female,0,0,45,United-States,<=50K +30,Private,90446,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +69,Self-emp-not-inc,165017,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +25,Private,120596,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,44,United-States,<=50K +36,Private,345310,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +20,?,94746,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,Portugal,<=50K +38,Local-gov,338611,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +40,Self-emp-inc,275366,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +59,Private,188872,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +36,Private,359397,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,Other,Male,0,0,40,United-States,<=50K +33,Private,158800,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +31,Private,31510,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,358740,11th,7,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +31,Private,257148,Bachelors,13,Widowed,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K +48,Private,174525,1st-4th,2,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,52,Dominican-Republic,<=50K +52,Private,161599,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +41,Private,193494,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +40,Local-gov,231832,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Local-gov,146834,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K +24,Private,63927,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,278403,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,<=50K +53,Private,241141,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,?,<=50K +70,Local-gov,127463,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,175017,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1672,40,United-States,<=50K +54,Private,56741,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +44,Private,107683,Assoc-voc,11,Married-civ-spouse,Craft-repair,Wife,White,Female,4386,0,40,United-States,>50K +42,Private,270324,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Jamaica,<=50K +47,State-gov,304512,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +34,Private,167049,Bachelors,13,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,20,United-States,>50K +39,Self-emp-inc,88973,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,84,United-States,>50K +52,Private,210736,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +21,State-gov,73514,HS-grad,9,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +57,Self-emp-not-inc,75785,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,70,United-States,<=50K +71,Self-emp-not-inc,137723,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,1455,0,3,United-States,<=50K +28,Private,220043,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +21,State-gov,132247,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K +38,Private,65390,12th,8,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,?,177144,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,22,India,<=50K +47,Local-gov,358668,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,<=50K +85,Private,188328,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,5,United-States,<=50K +53,Private,350510,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +54,Federal-gov,72257,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7688,0,40,United-States,>50K +53,Private,183668,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3464,0,34,United-States,<=50K +46,Private,168262,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +46,Private,153536,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,40,United-States,>50K +36,Private,189703,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,>50K +73,Local-gov,147703,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K +23,Private,173670,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,<=50K +42,Private,231832,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,45,United-States,>50K +39,Private,33223,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +34,Private,130021,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K +57,Self-emp-not-inc,50990,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,308241,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,60,United-States,<=50K +20,Private,254025,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,377622,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +64,Private,217802,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,39477,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,138946,7th-8th,4,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +17,Private,35603,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +67,Private,142624,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K +22,Private,92609,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K +41,Self-emp-not-inc,111232,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +22,Private,203518,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +38,Local-gov,233571,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Self-emp-not-inc,45093,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,175431,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,2174,0,40,United-States,<=50K +90,Private,225063,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K +18,Private,391495,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +31,Private,162312,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,35,Philippines,<=50K +34,Self-emp-not-inc,151733,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +44,Private,172026,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K +17,Private,323164,10th,6,Never-married,Craft-repair,Own-child,Other,Female,0,0,35,El-Salvador,<=50K +67,?,129824,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,0,6,United-States,<=50K +21,Private,203715,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +57,Private,156040,5th-6th,3,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +26,Private,186168,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +33,Private,154227,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +43,Private,141327,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,103925,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +46,Private,118633,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,80,United-States,<=50K +48,Private,207540,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,99999,0,60,United-States,>50K +52,Self-emp-not-inc,106728,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K +28,Private,192237,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +35,Private,132879,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,15024,0,40,Italy,>50K +17,Private,148345,11th,7,Never-married,Protective-serv,Own-child,White,Female,0,0,40,United-States,<=50K +47,Self-emp-not-inc,326292,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +38,Private,33975,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K +34,Private,112115,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +36,Private,129357,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Private,175958,Some-college,10,Separated,Other-service,Not-in-family,White,Male,0,0,21,United-States,<=50K +58,Private,125317,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +46,Private,424934,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,40,Portugal,<=50K +28,Private,204648,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K +46,Private,186256,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1902,55,United-States,>50K +35,Local-gov,126569,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,89813,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,149576,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +22,Private,220426,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,72055,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,94939,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +29,Federal-gov,104917,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,44,United-States,<=50K +23,Private,314645,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K +81,Self-emp-not-inc,108604,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +17,Private,153542,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +40,Private,226902,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +19,Private,450200,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +50,Self-emp-not-inc,279129,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K +42,Private,242619,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +18,Self-emp-inc,357223,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +38,Private,206951,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +67,Private,70737,9th,5,Widowed,Handlers-cleaners,Unmarried,White,Female,0,0,32,United-States,<=50K +55,Private,200939,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +46,Self-emp-inc,192128,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +31,Private,188798,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +23,?,202920,Assoc-acdm,12,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +30,Private,205407,HS-grad,9,Divorced,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +23,?,24008,Some-college,10,Never-married,?,Own-child,White,Male,0,1719,40,United-States,<=50K +52,Private,172962,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +63,Local-gov,83791,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,45,United-States,<=50K +69,Private,304838,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,28,United-States,<=50K +40,Private,165858,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,80,United-States,>50K +33,Private,110592,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +81,Private,164416,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +71,Private,345339,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,28,United-States,<=50K +26,Private,129806,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +51,Local-gov,205100,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,32,United-States,>50K +26,Local-gov,250551,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +56,Self-emp-not-inc,285832,Masters,14,Married-civ-spouse,Sales,Wife,White,Female,0,0,70,United-States,<=50K +18,Private,338717,11th,7,Never-married,Handlers-cleaners,Not-in-family,Other,Male,0,0,25,United-States,<=50K +43,State-gov,187802,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,37,United-States,<=50K +46,Private,215895,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,4787,0,60,United-States,>50K +30,Private,100135,Bachelors,13,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K +34,Private,137616,9th,5,Never-married,Sales,Unmarried,Black,Female,0,0,35,United-States,<=50K +36,Private,341672,HS-grad,9,Married-spouse-absent,Adm-clerical,Other-relative,Asian-Pac-Islander,Male,0,0,60,India,<=50K +44,Private,322044,Some-college,10,Divorced,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K +38,Private,149347,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,<=50K +43,Self-emp-not-inc,293809,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K +46,Local-gov,93639,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +22,?,166297,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K +61,Private,167840,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,2002,38,United-States,<=50K +31,Private,180656,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,?,<=50K +41,Self-emp-not-inc,197176,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +25,Private,207965,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K +34,Federal-gov,23940,Some-college,10,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +39,Private,67433,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,4650,0,32,United-States,<=50K +20,Private,190916,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +45,Private,235892,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K +18,Private,240767,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +27,Private,194515,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,37,United-States,<=50K +33,Private,156464,10th,6,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,117728,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +49,Self-emp-inc,195727,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,133454,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,191177,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,1726,40,United-States,<=50K +56,State-gov,71075,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +18,Private,233740,11th,7,Never-married,Sales,Own-child,White,Female,0,0,18,United-States,<=50K +65,Private,185455,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +17,Private,141445,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +27,Private,131712,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,50,United-States,>50K +23,Private,210338,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,30,United-States,<=50K +39,Private,465334,11th,7,Divorced,Farming-fishing,Unmarried,White,Male,0,0,1,United-States,<=50K +46,Private,168069,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +32,Private,80557,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +34,Private,110622,Bachelors,13,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +26,Private,40255,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +80,?,402748,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,14,Canada,<=50K +61,Private,97030,10th,6,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,36,United-States,<=50K +19,?,39477,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K +31,Self-emp-not-inc,152351,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +56,Federal-gov,229939,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,131230,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +48,Private,182211,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +73,Private,57435,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,>50K +29,?,225654,HS-grad,9,Never-married,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K +28,Private,252424,Assoc-voc,11,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,Cambodia,<=50K +48,?,155509,11th,7,Divorced,?,Unmarried,Black,Female,0,0,10,Haiti,<=50K +41,Private,29591,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,<=50K +28,Private,101774,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,50,United-States,>50K +37,Local-gov,74194,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +20,Private,171156,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +45,Private,145637,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Female,14344,0,48,United-States,>50K +34,Private,172714,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +72,Private,188528,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,Canada,>50K +54,Federal-gov,89705,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +24,Private,165107,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +23,Private,347873,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,30,Vietnam,<=50K +21,?,298342,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +49,Local-gov,53482,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +45,Private,162958,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +41,Self-emp-not-inc,366483,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,36,Mexico,<=50K +51,Federal-gov,335481,Some-college,10,Separated,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,>50K +40,Private,197609,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,1340,40,United-States,<=50K +29,State-gov,160731,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,Germany,<=50K +26,Private,210848,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,2635,0,35,Mexico,<=50K +59,Private,196126,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,201519,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Local-gov,121124,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +22,State-gov,203518,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,16,United-States,<=50K +52,Private,254230,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +39,Private,136531,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,47,United-States,<=50K +25,Private,108505,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,31095,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +37,Private,149347,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +33,Self-emp-not-inc,188246,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,1590,60,United-States,<=50K +48,State-gov,185859,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K +29,Private,227879,Assoc-voc,11,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +59,Private,75541,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,99385,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Private,403061,1st-4th,2,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,Mexico,<=50K +23,State-gov,82067,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,140434,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +34,Private,159268,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +20,?,162945,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +39,Private,365430,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +50,Self-emp-not-inc,163678,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,230919,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,60,United-States,>50K +37,Private,112264,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +34,Self-emp-not-inc,192900,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,35,United-States,<=50K +23,Private,355856,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K +20,?,156916,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K +37,Private,172927,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,1741,70,United-States,<=50K +19,?,170125,Some-college,10,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +35,Private,305379,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K +24,Private,206974,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +23,Federal-gov,482096,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K +23,Local-gov,267843,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,32,United-States,<=50K +27,Private,173927,Some-college,10,Never-married,Tech-support,Own-child,Other,Female,0,0,32,Jamaica,<=50K +25,Private,225865,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K +27,State-gov,261278,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,80,?,<=50K +68,?,180082,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,23,United-States,<=50K +45,Private,115187,Assoc-voc,11,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +55,Private,451603,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,145041,Bachelors,13,Divorced,Machine-op-inspct,Other-relative,White,Male,0,2258,50,Dominican-Republic,<=50K +31,Self-emp-not-inc,132705,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +33,Local-gov,177695,HS-grad,9,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +40,Private,197033,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,307267,Masters,14,Never-married,Other-service,Not-in-family,White,Female,0,0,10,United-States,<=50K +39,Self-emp-not-inc,341643,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,1669,50,United-States,<=50K +32,Private,256362,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +55,Self-emp-not-inc,153484,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +46,Federal-gov,308077,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +29,Private,156266,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,Amer-Indian-Eskimo,Male,0,0,25,United-States,<=50K +49,Self-emp-inc,106634,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,27828,0,35,United-States,>50K +59,Private,198435,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,37210,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,237914,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Private,186106,7th-8th,4,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Private,236731,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Cuba,<=50K +20,Self-emp-inc,465725,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +43,Private,343121,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +19,Private,298435,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,2001,40,Cuba,<=50K +40,State-gov,255824,Masters,14,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +23,Local-gov,255252,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +61,Private,184167,12th,8,Married-civ-spouse,Craft-repair,Wife,Black,Female,0,0,40,United-States,<=50K +54,Private,145419,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +32,Private,87310,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +25,Self-emp-not-inc,55048,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,36,United-States,<=50K +30,Private,104052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K +19,Private,41163,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K +23,?,502633,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +65,Private,176279,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K +25,Private,279833,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1590,44,United-States,<=50K +21,Private,254351,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +48,Private,284916,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,?,<=50K +23,Self-emp-not-inc,188925,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,180954,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,108023,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +31,Private,197058,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,2597,0,45,United-States,<=50K +58,Private,100303,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,473133,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +32,State-gov,27051,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K +29,Private,163708,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,45,United-States,>50K +61,Private,52765,HS-grad,9,Divorced,Other-service,Other-relative,White,Female,0,0,99,United-States,<=50K +43,Self-emp-inc,84924,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,>50K +38,Private,181705,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,52012,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +36,Private,167691,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +45,Federal-gov,182470,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +62,Private,200834,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +46,State-gov,76075,Assoc-voc,11,Divorced,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +42,Self-emp-not-inc,200574,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K +31,Private,29144,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K +42,Self-emp-not-inc,34722,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,177907,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +51,Private,238481,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1902,42,United-States,>50K +45,Private,182541,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +73,Federal-gov,142426,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,25124,0,20,United-States,>50K +19,Private,216413,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,55,United-States,<=50K +29,Private,30070,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,82699,Prof-school,15,Divorced,Prof-specialty,Not-in-family,Black,Female,13550,0,70,United-States,>50K +32,Private,236861,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +46,Private,114328,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,198229,Prof-school,15,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,65,United-States,>50K +24,Private,138892,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +41,Local-gov,271927,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +64,?,220258,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,24,United-States,<=50K +28,Private,212588,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,477867,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,394927,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +35,Private,155611,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Female,114,0,40,United-States,<=50K +39,Private,109351,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,>50K +38,Private,206520,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,156526,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,315437,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,181665,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,50,United-States,<=50K +40,Private,60594,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +29,Private,221233,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,37,United-States,<=50K +36,Self-emp-inc,176900,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,25,United-States,<=50K +47,Private,64563,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,42,United-States,>50K +23,Private,99408,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +41,Self-emp-not-inc,219869,Some-college,10,Widowed,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K +41,Local-gov,135056,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,8614,0,50,United-States,>50K +18,Private,79077,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,22,United-States,<=50K +34,Private,255830,Assoc-acdm,12,Divorced,Craft-repair,Unmarried,Black,Female,7443,0,40,United-States,<=50K +38,Self-emp-not-inc,22245,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +34,Private,150154,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +62,State-gov,342049,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +66,Self-emp-not-inc,99927,HS-grad,9,Widowed,Tech-support,Not-in-family,White,Female,0,0,45,United-States,<=50K +18,Private,191784,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K +41,Private,175883,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,328239,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +45,Private,107231,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +24,Local-gov,155818,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +60,Private,282421,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,?,<=50K +39,Private,241998,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Federal-gov,55363,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +29,Private,137240,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K +37,Private,361951,Bachelors,13,Never-married,Sales,Not-in-family,Black,Male,0,0,48,?,<=50K +21,State-gov,311311,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,12,United-States,<=50K +48,Private,186299,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +36,Private,168055,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K +23,Private,305423,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +49,Private,393715,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +29,Private,36440,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Self-emp-not-inc,106761,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +72,?,235014,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,2465,40,United-States,<=50K +29,Local-gov,249932,11th,7,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +45,Private,382242,Bachelors,13,Never-married,Adm-clerical,Unmarried,White,Female,0,0,30,?,<=50K +29,Private,213152,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,52,United-States,<=50K +37,State-gov,26898,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,435356,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K +70,?,103963,HS-grad,9,Widowed,?,Not-in-family,White,Male,0,0,6,United-States,<=50K +43,Private,185860,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +63,Private,188999,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +64,Self-emp-not-inc,108654,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1421,35,United-States,<=50K +38,Private,54953,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +24,Private,130620,Some-college,10,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,40,?,<=50K +29,Private,273884,HS-grad,9,Married-spouse-absent,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K +30,Private,392518,Assoc-acdm,12,Married-spouse-absent,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K +66,Self-emp-not-inc,198766,HS-grad,9,Widowed,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,66935,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +39,Federal-gov,135500,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +22,Local-gov,111697,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +31,Private,141288,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,296450,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Private,94448,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,138200,Assoc-acdm,12,Never-married,Farming-fishing,Own-child,White,Female,0,0,40,United-States,<=50K +40,Private,217826,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,Haiti,<=50K +57,?,182836,Some-college,10,Married-civ-spouse,?,Wife,White,Female,3103,0,40,United-States,>50K +64,Self-emp-not-inc,46366,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +31,Private,168275,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K +74,Local-gov,214514,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +43,State-gov,107439,Some-college,10,Never-married,Other-service,Not-in-family,Black,Female,0,0,30,United-States,<=50K +80,Self-emp-inc,164909,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,54,United-States,>50K +28,Federal-gov,329426,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +77,Local-gov,181974,7th-8th,4,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +68,Private,176468,HS-grad,9,Divorced,Priv-house-serv,Unmarried,Black,Female,0,0,24,United-States,<=50K +51,State-gov,187686,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +21,Private,229769,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K +43,Private,45975,12th,8,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Italy,<=50K +42,Private,187702,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,102585,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,327112,11th,7,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,?,167558,7th-8th,4,Married-civ-spouse,?,Wife,White,Female,0,0,40,Mexico,<=50K +32,Private,296538,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,<=50K +56,Private,169560,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +50,Private,185283,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,224793,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,1719,40,United-States,<=50K +23,Federal-gov,478457,11th,7,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +54,Private,104413,Some-college,10,Separated,Tech-support,Other-relative,Black,Female,4101,0,40,United-States,<=50K +28,Self-emp-not-inc,175710,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,?,<=50K +34,Private,85632,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +48,Private,102359,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +56,Local-gov,237546,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,99,United-States,<=50K +31,Private,96245,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,42,United-States,<=50K +42,Private,91453,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K +36,Private,131039,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Trinadad&Tobago,<=50K +52,Private,106176,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Male,0,3770,40,United-States,<=50K +55,Private,329797,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,153932,11th,7,Married-civ-spouse,Craft-repair,Own-child,White,Male,2580,0,30,United-States,<=50K +35,State-gov,52738,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K +51,Private,25932,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,>50K +19,Private,78374,Some-college,10,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +59,Private,653215,11th,7,Widowed,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,318061,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,80,United-States,<=50K +46,State-gov,260782,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,?,340580,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,45,United-States,<=50K +46,Self-emp-not-inc,45564,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +26,Private,209051,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,25,United-States,<=50K +55,Private,100821,HS-grad,9,Married-spouse-absent,Priv-house-serv,Not-in-family,Black,Female,0,0,36,United-States,<=50K +28,Private,86268,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +61,Federal-gov,95680,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,3103,0,40,United-States,>50K +35,Private,327164,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,>50K +21,?,117210,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Local-gov,136175,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,35,United-States,<=50K +21,Private,232591,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,8,United-States,<=50K +33,Local-gov,29144,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Self-emp-inc,64875,Assoc-voc,11,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +44,Private,184011,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,60,United-States,<=50K +29,Private,244246,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,8614,0,50,United-States,>50K +39,Private,357173,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +32,Private,203181,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K +47,Private,299508,HS-grad,9,Divorced,Tech-support,Unmarried,Black,Female,0,0,55,United-States,<=50K +28,Private,198493,Assoc-acdm,12,Never-married,Adm-clerical,Other-relative,White,Male,0,0,35,United-States,<=50K +59,Local-gov,358747,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +38,Private,91039,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,5178,0,48,United-States,>50K +23,Private,34918,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K +44,Private,97159,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +55,Federal-gov,212600,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,?,>50K +65,Private,90113,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +19,Private,96705,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,14,United-States,<=50K +58,Private,156873,11th,7,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,35,United-States,<=50K +49,Private,136358,Masters,14,Divorced,Sales,Unmarried,Other,Female,0,0,20,Peru,<=50K +44,Private,227065,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,?,>50K +44,Local-gov,193144,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +33,Private,317660,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +38,Self-emp-not-inc,85492,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +37,Local-gov,203628,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,54,United-States,>50K +30,Private,183801,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,132686,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,50818,Masters,14,Never-married,Tech-support,Not-in-family,White,Male,0,0,55,United-States,<=50K +49,State-gov,160812,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +28,Private,212286,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +61,Local-gov,77072,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +41,State-gov,176155,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +20,State-gov,219211,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K +40,Private,356934,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +57,Private,143266,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,?,>50K +36,?,194809,Bachelors,13,Never-married,?,Own-child,White,Female,0,0,50,United-States,<=50K +62,Private,138157,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,437825,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +31,Private,165503,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,?,<=50K +68,Private,152053,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,48,United-States,<=50K +18,Private,211273,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,19,United-States,<=50K +30,State-gov,576645,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K +42,?,148951,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,12,Ecuador,<=50K +38,Private,38145,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K +19,Private,66619,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,37,United-States,<=50K +22,Private,126613,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,France,<=50K +46,State-gov,135854,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +57,Private,132145,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +65,?,194920,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K +18,Private,260387,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Cuba,<=50K +67,Private,176388,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +28,Private,77009,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K +30,Private,385177,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,24,United-States,>50K +20,Private,510643,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,100135,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +35,Private,297697,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +38,Private,179481,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +23,Private,134045,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +64,Self-emp-not-inc,275034,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +33,Private,127651,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,8614,0,40,United-States,>50K +24,Private,237262,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +18,?,274445,HS-grad,9,Never-married,?,Own-child,White,Male,0,1602,20,United-States,<=50K +40,?,141583,Bachelors,13,Never-married,?,Unmarried,Black,Female,0,0,35,United-States,<=50K +27,?,294642,HS-grad,9,Separated,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +51,Self-emp-not-inc,181179,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,<=50K +27,Private,184493,HS-grad,9,Separated,Handlers-cleaners,Own-child,White,Female,0,1594,25,United-States,<=50K +48,Local-gov,125892,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +27,Local-gov,118235,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,40,United-States,<=50K +24,Private,119329,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K +31,Self-emp-not-inc,189843,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +42,Private,167357,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,213,40,United-States,<=50K +51,Private,103803,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,50,United-States,<=50K +41,Private,145175,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,3103,0,40,United-States,>50K +26,Private,158846,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,44,United-States,<=50K +69,Private,203313,7th-8th,4,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +63,Private,125954,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,>50K +35,Private,102178,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K +35,Private,139364,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +62,Self-emp-not-inc,265007,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Ecuador,<=50K +26,Private,61996,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,62,United-States,<=50K +63,Private,209790,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +23,Private,117779,12th,8,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +43,Self-emp-inc,173326,HS-grad,9,Never-married,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K +44,Private,318046,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K +56,Local-gov,204021,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +54,Self-emp-not-inc,236157,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +32,Private,42900,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +42,Private,144002,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +37,Private,126954,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +24,Private,228649,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,126094,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,113106,HS-grad,9,Never-married,Sales,Other-relative,White,Female,0,0,19,United-States,<=50K +30,Private,118941,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Federal-gov,205675,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,75,United-States,>50K +19,Private,89295,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,35,United-States,<=50K +30,Private,173858,HS-grad,9,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,2597,0,40,?,<=50K +26,Private,168251,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +38,State-gov,143059,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +74,?,41737,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,2149,30,United-States,<=50K +54,Private,266598,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +20,Private,181796,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +22,State-gov,214731,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K +40,Private,219869,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,99999,0,75,United-States,>50K +23,Private,211968,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +22,Private,38707,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +18,Self-emp-not-inc,58700,9th,5,Never-married,Farming-fishing,Other-relative,Other,Female,0,0,40,Mexico,<=50K +24,Private,160261,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,20,France,<=50K +30,Private,160594,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +38,Private,152307,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,41,United-States,>50K +27,Private,100079,HS-grad,9,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,60,China,<=50K +21,Private,279472,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,55,United-States,<=50K +43,Private,149102,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +26,Private,177625,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Federal-gov,178678,10th,6,Divorced,Adm-clerical,Unmarried,White,Female,0,1380,50,United-States,<=50K +58,Self-emp-not-inc,21383,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,86019,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,36,United-States,<=50K +63,Private,181153,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,?,>50K +36,Federal-gov,223749,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +21,?,33087,Some-college,10,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K +21,Private,253190,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,48,United-States,<=50K +51,Private,165278,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,46,United-States,>50K +51,Private,279452,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,Mexico,<=50K +43,Private,290660,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +47,Private,274883,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,>50K +68,Self-emp-not-inc,35468,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,24,United-States,<=50K +18,Private,195318,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,23,United-States,<=50K +34,Private,256362,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Italy,>50K +49,Private,148169,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,5013,0,40,United-States,<=50K +65,Self-emp-not-inc,538099,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +19,Private,186682,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K +59,Self-emp-not-inc,156797,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,13550,0,60,United-States,>50K +29,Private,162257,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,208881,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,60,United-States,>50K +39,Private,159168,Assoc-voc,11,Widowed,Exec-managerial,Unmarried,White,Female,0,3004,40,United-States,>50K +64,Private,172740,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,12,United-States,<=50K +48,Federal-gov,186256,HS-grad,9,Divorced,Farming-fishing,Other-relative,White,Male,0,0,40,United-States,<=50K +37,Federal-gov,110861,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,128699,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,Ecuador,<=50K +31,Private,271933,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +30,Private,102320,Assoc-voc,11,Separated,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +54,Self-emp-inc,117674,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +62,Private,190273,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,Private,217747,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K +44,Private,99830,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K +40,Private,343068,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K +32,State-gov,204052,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +28,Private,267912,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,Mexico,<=50K +31,Private,207537,Some-college,10,Separated,Sales,Not-in-family,White,Male,2174,0,52,United-States,<=50K +38,Private,256864,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +39,Self-emp-not-inc,306678,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +47,Private,101204,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,4064,0,40,United-States,<=50K +43,Private,77373,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,47,United-States,>50K +27,Private,371103,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +46,Private,316271,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +56,Self-emp-not-inc,51916,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +34,Private,159008,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,>50K +27,Private,153475,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +19,Private,118549,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +58,Private,315081,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,42,United-States,>50K +20,Private,122622,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,81786,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Private,194752,HS-grad,9,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,45,United-States,<=50K +48,Private,208662,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K +28,Self-emp-inc,173944,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,15024,0,65,United-States,>50K +34,State-gov,49325,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +38,Private,425502,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +25,Local-gov,55360,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +23,Private,432480,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +48,Private,155781,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,2231,30,United-States,>50K +37,Local-gov,216473,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,>50K +36,Private,185366,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,247515,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,Puerto-Rico,<=50K +70,Private,210673,10th,6,Widowed,Adm-clerical,Other-relative,White,Male,0,0,20,United-States,<=50K +32,Private,107435,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,?,217300,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,36,United-States,<=50K +20,?,39803,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,482211,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +47,Federal-gov,169549,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,60,?,>50K +23,Private,353542,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,8,United-States,<=50K +40,Private,114200,HS-grad,9,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,245173,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,212895,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +49,?,95636,10th,6,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Self-emp-not-inc,271486,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +37,Private,258836,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +56,Private,288530,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,37,United-States,>50K +64,Private,47589,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +31,Private,295099,Some-college,10,Divorced,Tech-support,Own-child,Black,Female,0,0,40,United-States,<=50K +38,Private,275338,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,45,United-States,<=50K +52,Self-emp-not-inc,168553,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,142766,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,18,United-States,<=50K +31,Private,72887,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,47,United-States,>50K +35,Private,102946,Some-college,10,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,1669,45,United-States,<=50K +66,Self-emp-not-inc,244749,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,Cuba,<=50K +36,Private,166115,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,56,United-States,<=50K +26,Private,213383,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Self-emp-inc,107231,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +17,?,130969,9th,5,Never-married,?,Own-child,Black,Male,0,0,20,United-States,<=50K +27,Private,221977,1st-4th,2,Married-spouse-absent,Priv-house-serv,Not-in-family,White,Female,0,0,40,Mexico,<=50K +41,Private,43467,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,99,United-States,<=50K +52,Private,357596,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K +48,Private,146497,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,50,United-States,>50K +33,Private,317809,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +22,Private,190290,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K +59,Private,194573,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K +72,?,144461,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,>50K +52,Local-gov,240638,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +18,Private,52776,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +40,Private,50524,12th,8,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,324023,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +17,Private,110916,11th,7,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K +23,Private,203924,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,70,United-States,<=50K +53,Private,214868,Assoc-voc,11,Never-married,Adm-clerical,Other-relative,Black,Female,0,2001,40,United-States,<=50K +27,Private,275466,10th,6,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +27,Local-gov,198708,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,37,United-States,<=50K +23,Private,179241,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +32,Private,154981,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K +29,Private,178811,Assoc-voc,11,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,130018,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +47,Federal-gov,87504,Bachelors,13,Divorced,Tech-support,Unmarried,White,Female,0,0,50,United-States,<=50K +29,Private,377414,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Private,177927,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +60,Private,137490,5th-6th,3,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +25,Private,262617,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,>50K +50,Private,30682,7th-8th,4,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K +60,Private,119684,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,40,United-States,>50K +52,Private,187938,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,49,United-States,<=50K +35,Private,122353,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +31,Private,75755,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +43,Private,91316,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K +55,Private,134789,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,20,United-States,<=50K +22,Private,115892,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,104457,Bachelors,13,Married-spouse-absent,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,40,?,<=50K +51,Local-gov,230767,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,Cuba,<=50K +61,Private,227332,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,160264,Some-college,10,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +47,Self-emp-not-inc,174533,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +73,Private,53114,Some-college,10,Widowed,Sales,Not-in-family,White,Female,2538,0,20,United-States,<=50K +20,Private,163870,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,228709,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +36,Private,172571,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +28,Private,335542,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,1628,50,United-States,<=50K +63,Local-gov,241404,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Female,0,0,35,United-States,<=50K +50,Private,197189,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +59,?,102058,1st-4th,2,Married-civ-spouse,?,Husband,White,Male,0,0,45,Portugal,<=50K +41,Self-emp-inc,104813,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +62,Private,261437,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,366842,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,?,>50K +21,?,121468,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +48,Self-emp-inc,214994,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +67,Private,229709,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,249039,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,>50K +49,Private,142287,Some-college,10,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +54,Private,259323,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +18,Private,238281,11th,7,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +60,Private,156774,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +27,Private,86153,HS-grad,9,Never-married,Tech-support,Unmarried,White,Female,0,0,40,Germany,<=50K +62,Private,93997,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K +39,Self-emp-inc,91039,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K +52,Private,224198,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,51,United-States,<=50K +54,Private,221336,HS-grad,9,Widowed,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +28,Private,128012,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,?,<=50K +53,Local-gov,231166,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,79702,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,40,United-States,<=50K +24,Self-emp-not-inc,132320,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K +37,?,33355,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K +55,?,177557,HS-grad,9,Divorced,?,Other-relative,White,Male,0,0,40,United-States,<=50K +47,Private,148549,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +26,Private,301563,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,113106,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +41,Private,304175,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +25,State-gov,230200,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +17,Private,313444,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +34,Private,247328,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +34,Private,132565,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,State-gov,539019,Some-college,10,Never-married,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K +24,Private,114292,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +32,Private,227608,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +21,State-gov,185554,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,11,United-States,<=50K +46,Self-emp-not-inc,181372,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,344592,HS-grad,9,Never-married,Sales,Not-in-family,Black,Female,0,0,35,United-States,<=50K +29,Self-emp-not-inc,102326,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +43,Self-emp-not-inc,220647,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2377,50,United-States,<=50K +18,?,30246,11th,7,Never-married,?,Own-child,White,Female,0,0,45,United-States,<=50K +33,Private,496743,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,88,United-States,<=50K +21,Private,161508,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +33,State-gov,30494,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,256764,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1564,40,United-States,>50K +20,?,49819,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +42,?,338281,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,0,20,Iran,<=50K +21,Local-gov,256356,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,25,United-States,<=50K +25,Private,318644,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,227594,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +59,Private,165695,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,32,United-States,>50K +55,Private,127728,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +49,Private,123681,Assoc-acdm,12,Separated,Sales,Unmarried,White,Male,0,0,35,United-States,<=50K +48,Private,168038,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,1564,50,United-States,>50K +32,Private,154950,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,44,United-States,>50K +25,Private,148298,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +41,Private,63042,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,20,United-States,<=50K +57,Local-gov,101444,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,Private,455379,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +25,Private,211097,5th-6th,3,Divorced,Other-service,Unmarried,Other,Female,0,0,20,Honduras,<=50K +61,Local-gov,153264,HS-grad,9,Widowed,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,?,263220,Some-college,10,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K +43,Private,180138,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K +22,Private,208946,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,?,<=50K +33,Private,321709,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,>50K +39,Private,215981,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +44,State-gov,26880,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,1092,40,United-States,<=50K +30,Self-emp-not-inc,90705,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,185068,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,20,Puerto-Rico,<=50K +37,Private,268390,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Mexico,<=50K +55,Private,102058,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +51,Self-emp-not-inc,421132,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,191803,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,13,?,<=50K +60,Private,181954,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,25,Iran,<=50K +17,?,34505,11th,7,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K +30,Private,93973,11th,7,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K +63,Private,355459,12th,8,Widowed,Priv-house-serv,Unmarried,Black,Female,0,0,35,United-States,<=50K +37,Private,173586,7th-8th,4,Never-married,Other-service,Own-child,Black,Male,0,0,56,United-States,<=50K +32,Private,312055,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +64,Federal-gov,353479,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,45,United-States,>50K +21,Private,321426,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,49,United-States,<=50K +53,Private,228752,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +46,Private,281647,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,161615,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,187376,Assoc-acdm,12,Separated,Adm-clerical,Not-in-family,White,Male,0,0,35,United-States,<=50K +47,Private,234994,7th-8th,4,Separated,Craft-repair,Unmarried,White,Male,0,0,40,Puerto-Rico,<=50K +58,?,169329,9th,5,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K +40,Private,216116,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,Jamaica,<=50K +36,Private,109204,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,88879,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +39,Self-emp-not-inc,200863,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +23,Private,223811,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +32,Private,360761,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +33,Private,166275,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,149102,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,117381,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,306993,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +32,Local-gov,232475,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +56,Private,165867,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,268234,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K +59,Self-emp-inc,110457,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +21,Private,329174,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,4865,0,40,United-States,<=50K +37,Private,109472,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,418176,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +28,Private,380390,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +18,?,36064,12th,8,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +59,Self-emp-inc,95835,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +25,Local-gov,250770,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +17,Private,67603,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +30,State-gov,352045,Masters,14,Separated,Craft-repair,Not-in-family,White,Male,99999,0,40,United-States,>50K +21,Private,196742,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,28,United-States,<=50K +31,Private,303942,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +56,Private,246687,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +64,Self-emp-not-inc,187793,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,205816,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +60,Private,182343,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,42959,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,36,United-States,<=50K +46,Private,140644,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,2258,50,United-States,<=50K +19,Private,183264,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,30,United-States,<=50K +49,Private,294671,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,88926,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K +65,Private,64667,Some-college,10,Divorced,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,15,United-States,<=50K +27,Private,416946,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +52,Private,208570,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,116649,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +78,Local-gov,87052,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,5,United-States,<=50K +46,Self-emp-not-inc,102869,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +60,Self-emp-inc,123552,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,Ireland,<=50K +28,Private,157262,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,146890,9th,5,Never-married,Farming-fishing,Own-child,Black,Male,0,0,20,United-States,<=50K +57,Private,257200,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +48,Local-gov,452402,Doctorate,16,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,15,United-States,<=50K +39,Private,531055,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +38,Self-emp-inc,298539,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +20,Private,95989,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +32,Private,162572,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,48,United-States,>50K +41,Local-gov,75313,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +66,Private,117162,10th,6,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,32,United-States,<=50K +46,Private,173461,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +48,Private,349986,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K +24,Private,204244,9th,5,Never-married,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K +31,Private,36222,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,65,United-States,<=50K +38,Self-emp-inc,320811,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +57,Private,82676,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,<=50K +20,Private,152189,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +54,Self-emp-inc,52565,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K +62,?,121319,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,144301,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,United-States,<=50K +21,Private,162869,Some-college,10,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +23,Private,179241,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +34,State-gov,62327,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +40,Self-emp-not-inc,121012,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +43,Private,60001,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +55,?,105582,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K +34,Local-gov,454076,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +21,State-gov,155818,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +40,Private,434081,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +48,Federal-gov,265386,Assoc-acdm,12,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +47,Private,44671,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K +63,Private,190296,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K +33,Federal-gov,198827,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +64,?,22228,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,>50K +28,Private,109857,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +21,Self-emp-not-inc,190968,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,25,United-States,<=50K +51,Private,75235,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +67,Self-emp-inc,127605,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,60,Italy,>50K +33,Private,318982,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K +31,Private,229636,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2042,40,Mexico,<=50K +46,Private,233802,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,>50K +45,Self-emp-not-inc,28119,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,65,United-States,<=50K +66,State-gov,198363,7th-8th,4,Widowed,Other-service,Not-in-family,Black,Female,2964,0,40,United-States,<=50K +58,Local-gov,153914,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +40,Private,143582,Masters,14,Widowed,Sales,Own-child,Asian-Pac-Islander,Female,0,0,50,United-States,<=50K +71,?,78786,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,2149,24,United-States,<=50K +42,State-gov,126333,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +46,Self-emp-not-inc,182689,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,35,United-States,>50K +19,Private,35245,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +19,Private,160120,Some-college,10,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,2597,0,40,?,<=50K +37,Self-emp-not-inc,400287,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,15,United-States,>50K +22,Private,50610,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +64,Private,349826,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,35890,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,174209,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +47,Private,63225,1st-4th,2,Divorced,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K +35,Private,164519,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,81145,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +32,Local-gov,73514,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,Asian-Pac-Islander,Female,0,0,50,United-States,<=50K +49,Local-gov,452402,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,7688,0,35,United-States,>50K +19,?,318056,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +27,Private,285897,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,40,United-States,>50K +19,?,194404,Some-college,10,Never-married,?,Own-child,White,Female,0,0,32,United-States,<=50K +20,Private,434710,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +42,Federal-gov,177142,Bachelors,13,Never-married,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K +35,Federal-gov,182863,Bachelors,13,Separated,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K +62,Private,394645,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,110457,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,292465,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +35,Private,238433,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +55,Private,160631,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4508,0,8,Yugoslavia,<=50K +29,Private,285657,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +24,Private,236907,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K +19,Private,378418,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +50,Self-emp-not-inc,213279,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,105503,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,79160,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +62,?,139391,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,Ireland,>50K +33,Self-emp-not-inc,190027,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,70,United-States,>50K +79,Private,160758,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K +33,Private,361280,Doctorate,16,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K +36,Private,199288,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K +46,Self-emp-not-inc,204698,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +17,Private,213354,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,6,United-States,<=50K +22,Private,282579,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +39,Private,99783,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +27,Private,446947,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,55,United-States,<=50K +57,Private,186202,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Self-emp-inc,177951,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,32,United-States,<=50K +28,Private,258364,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +46,Local-gov,200727,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +32,Self-emp-not-inc,33404,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,10520,0,50,United-States,>50K +63,Federal-gov,31115,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +21,Private,301915,11th,7,Separated,Sales,Not-in-family,Other,Female,0,0,30,Mexico,<=50K +44,Private,201908,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5013,0,40,United-States,<=50K +40,Private,168071,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +32,Private,347623,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,35890,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +31,Private,154227,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,161532,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,178282,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,263561,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +52,Private,201783,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +30,Private,161153,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,193125,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +28,Private,126060,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,99999,0,36,United-States,>50K +52,Private,186826,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,1564,40,United-States,>50K +32,Private,156192,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +35,Private,193094,HS-grad,9,Never-married,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K +26,Private,472411,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,147069,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +40,Private,300195,Some-college,10,Divorced,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +75,?,91417,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K +23,Private,182342,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,Italy,<=50K +32,Private,258406,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Mexico,<=50K +27,Private,87239,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +25,Private,294406,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +18,?,41385,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,4508,0,40,United-States,<=50K +66,Private,197414,7th-8th,4,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +47,Private,323212,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,Local-gov,31532,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +30,Private,127610,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,20,Greece,<=50K +26,Private,163189,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,594187,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,United-States,>50K +39,Private,269323,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,1485,38,United-States,>50K +33,Private,96480,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,40,United-States,>50K +58,Private,200316,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,212780,HS-grad,9,Never-married,Sales,Not-in-family,Black,Female,0,0,30,United-States,<=50K +49,Self-emp-inc,120121,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +20,Private,367240,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +24,Private,117606,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,35,United-States,<=50K +33,Private,122749,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K +59,Private,169560,10th,6,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,269890,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +43,Private,303426,HS-grad,9,Divorced,Other-service,Unmarried,Asian-Pac-Islander,Male,5721,0,40,Philippines,<=50K +25,Private,112835,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,Private,226503,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +46,Private,207733,1st-4th,2,Widowed,Other-service,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K +20,Private,275421,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +37,Local-gov,165883,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +56,Self-emp-inc,236676,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +19,?,171578,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +30,Private,685955,Bachelors,13,Never-married,Sales,Unmarried,Black,Male,0,0,50,United-States,<=50K +32,Private,72887,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +34,Private,135304,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +27,Private,218781,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,126540,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,261943,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Guatemala,<=50K +34,State-gov,111843,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,3325,0,40,United-States,<=50K +71,Self-emp-not-inc,401203,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,34,United-States,>50K +56,Private,117400,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +61,?,113658,10th,6,Divorced,?,Other-relative,White,Female,0,0,20,United-States,<=50K +40,Local-gov,166822,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,36,United-States,>50K +35,Private,151322,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,102684,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,152652,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,193416,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,3,United-States,<=50K +35,Private,103323,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +37,Self-emp-not-inc,33975,Bachelors,13,Separated,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +20,?,163665,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +59,Private,187485,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +50,Private,110327,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +28,Private,179498,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Local-gov,197915,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,103995,Doctorate,16,Widowed,Prof-specialty,Not-in-family,White,Female,10520,0,60,United-States,>50K +46,Private,123807,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,15,United-States,<=50K +23,Private,43535,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K +57,Self-emp-not-inc,200316,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +60,Private,125832,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,72,Canada,<=50K +51,State-gov,71691,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K +50,Private,168212,Some-college,10,Married-spouse-absent,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +45,Federal-gov,98320,Some-college,10,Divorced,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,914,0,40,United-States,<=50K +41,Private,173307,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,43,United-States,<=50K +56,Private,442116,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,54,United-States,>50K +18,Private,130849,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,17,United-States,<=50K +51,Private,159015,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +32,Private,147921,Prof-school,15,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +48,Private,268022,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,55,United-States,>50K +51,Private,253357,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,339954,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +32,State-gov,347623,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,3411,0,40,United-States,<=50K +53,Federal-gov,169112,Prof-school,15,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +37,Private,166213,HS-grad,9,Divorced,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K +62,Private,216765,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +51,Private,335997,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K +18,?,354236,10th,6,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +70,Private,178120,HS-grad,9,Widowed,Priv-house-serv,Other-relative,Black,Female,0,0,8,United-States,<=50K +54,Private,312631,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,50,United-States,>50K +67,Local-gov,31924,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,2964,0,41,United-States,<=50K +34,Federal-gov,96483,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,0,0,60,United-States,>50K +26,Private,305304,11th,7,Separated,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +52,Local-gov,111722,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,72,United-States,<=50K +24,Private,197554,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +51,Private,257126,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,101597,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +23,Private,220115,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,210844,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2042,40,Columbia,<=50K +25,Self-emp-inc,66935,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K +81,Private,192813,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,25,Portugal,<=50K +35,Self-emp-not-inc,95639,11th,7,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,4,United-States,<=50K +40,Self-emp-not-inc,223881,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +33,Private,223105,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +33,Private,192644,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,90,United-States,>50K +45,Self-emp-not-inc,58683,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,5178,0,48,United-States,>50K +22,Private,162282,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,55,United-States,<=50K +38,State-gov,239539,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +46,Private,117849,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K +17,Private,99237,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +18,?,149343,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,3,United-States,<=50K +42,Self-emp-not-inc,193882,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +41,Private,107845,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +58,Private,268295,5th-6th,3,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +43,Private,71269,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +42,Self-emp-inc,204598,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,3464,0,80,United-States,<=50K +19,?,98283,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,32,United-States,<=50K +45,Self-emp-inc,188694,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +41,Private,201908,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K +38,Private,191137,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,35,United-States,<=50K +58,Self-emp-not-inc,129786,HS-grad,9,Separated,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +37,Private,302903,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,40,United-States,>50K +34,Private,143526,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,182117,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,172753,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,85,United-States,>50K +37,Private,139770,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +47,Private,215686,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,50,United-States,<=50K +31,Private,181388,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,45,United-States,>50K +57,Private,81973,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,15024,0,45,United-States,>50K +44,Private,328581,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +64,Private,110110,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +31,Private,174201,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +40,Private,137421,Masters,14,Married-spouse-absent,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,35,India,>50K +34,Private,153927,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +28,Federal-gov,187649,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +72,Private,149992,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +21,Private,234640,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,47,United-States,<=50K +52,Local-gov,311569,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +44,Private,182383,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K +57,State-gov,344381,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,7688,0,75,United-States,>50K +35,Self-emp-not-inc,280570,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +21,Private,215039,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +38,Local-gov,339442,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +28,Local-gov,168065,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +59,Private,47534,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K +54,Local-gov,116428,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,121789,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K +29,State-gov,143139,10th,6,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +18,Private,187790,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +31,Private,140559,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +17,Private,184025,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K +47,Private,257824,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +42,Private,89226,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,7688,0,40,Greece,>50K +21,Private,145917,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +32,Private,207301,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +51,Private,135388,12th,8,Widowed,Machine-op-inspct,Not-in-family,White,Male,0,1564,40,United-States,>50K +24,Private,266467,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +60,Private,200047,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +29,Federal-gov,121040,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +24,Private,199694,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +43,Private,301007,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K +64,Self-emp-not-inc,253759,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1977,50,United-States,>50K +53,Private,120839,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +64,State-gov,33342,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,205195,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,362873,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,El-Salvador,<=50K +25,Private,104614,HS-grad,9,Never-married,Protective-serv,Unmarried,White,Female,0,0,25,United-States,<=50K +27,Self-emp-not-inc,32280,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K +30,Private,191777,12th,8,Never-married,Other-service,Own-child,Black,Female,0,0,20,?,<=50K +39,Private,144169,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,264076,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,119164,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +41,Private,126845,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,228395,Bachelors,13,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K +32,Private,242654,Some-college,10,Divorced,Sales,Unmarried,Black,Female,0,1138,40,Honduras,<=50K +69,Self-emp-not-inc,30951,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K +36,Private,48855,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +57,Self-emp-not-inc,50791,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K +58,Local-gov,248739,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,165418,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,79464,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K +36,Local-gov,321247,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,104269,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +39,Self-emp-inc,129573,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +41,Private,222142,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3464,0,40,United-States,<=50K +24,Private,126613,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +54,Private,145548,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,331861,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K +39,Private,156261,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +27,Private,173944,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +25,Private,69739,10th,6,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Portugal,<=50K +32,Private,266345,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,278006,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +50,Self-emp-inc,82578,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +66,Private,154164,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,7,?,<=50K +25,Private,250038,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +48,Private,175468,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,16,United-States,<=50K +23,State-gov,435835,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,7,United-States,<=50K +70,Private,135601,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,35,United-States,>50K +20,State-gov,162945,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,244115,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,16,United-States,<=50K +29,Private,351902,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,34,United-States,<=50K +33,Private,291414,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,278736,12th,8,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K +44,Private,138975,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +32,Private,165295,5th-6th,3,Never-married,Other-service,Not-in-family,White,Female,0,0,40,Mexico,<=50K +49,Self-emp-inc,93557,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +66,Self-emp-not-inc,176315,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,401,0,20,United-States,<=50K +35,Private,187167,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,241582,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,33,United-States,<=50K +31,Private,247328,11th,7,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +75,Self-emp-not-inc,157778,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,15831,0,50,United-States,>50K +66,Self-emp-not-inc,67765,11th,7,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,84,United-States,>50K +19,?,229431,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,192203,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,93326,Some-college,10,Separated,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +46,Private,118889,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,68,United-States,>50K +29,State-gov,237028,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +63,Private,156127,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +46,Private,151325,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,311350,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +44,Self-emp-not-inc,273465,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K +66,Private,172646,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,1173,0,12,United-States,<=50K +51,Private,379797,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +38,Private,131827,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K +26,State-gov,158734,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,233533,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,42,United-States,<=50K +48,Private,246367,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +42,Local-gov,142049,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,32,United-States,<=50K +50,Private,101119,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,104830,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,594,0,35,United-States,<=50K +42,Private,173981,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Italy,>50K +63,Private,195338,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K +18,Private,64253,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K +56,Private,182062,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,>50K +33,Private,111696,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +41,?,168071,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,314369,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Male,0,0,45,United-States,<=50K +37,Private,178877,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +42,Private,111483,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,>50K +18,?,192321,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +62,Private,171757,7th-8th,4,Widowed,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +29,Federal-gov,157313,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,38772,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Federal-gov,72338,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +67,Self-emp-not-inc,132626,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +50,Private,176240,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +40,Private,202692,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K +18,Private,70021,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +55,Private,181242,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,20,United-States,<=50K +48,Private,196707,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +80,Local-gov,81534,1st-4th,2,Widowed,Farming-fishing,Not-in-family,Asian-Pac-Islander,Male,1086,0,20,Philippines,<=50K +25,Private,137658,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +24,Private,253190,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +46,Private,233059,9th,5,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,State-gov,177787,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K +35,Self-emp-not-inc,193026,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +62,Self-emp-not-inc,271464,Masters,14,Separated,Farming-fishing,Not-in-family,White,Male,0,0,30,United-States,<=50K +40,Private,199689,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Federal-gov,190653,Assoc-voc,11,Married-civ-spouse,Armed-Forces,Husband,White,Male,0,0,40,?,>50K +40,Private,359389,Bachelors,13,Divorced,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +49,Self-emp-not-inc,181717,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,7,United-States,>50K +52,Private,245127,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Outlying-US(Guam-USVI-etc),<=50K +21,Private,274398,Assoc-voc,11,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +41,Self-emp-not-inc,344624,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +35,Private,169037,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,48,United-States,<=50K +22,Private,221406,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +71,Private,211707,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,4,United-States,<=50K +73,?,185939,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,227026,Bachelors,13,Never-married,Craft-repair,Unmarried,White,Female,0,0,40,Nicaragua,<=50K +38,Private,187847,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +19,Private,238144,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +29,Private,243660,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K +26,Private,102476,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +56,Local-gov,238405,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,187479,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,168294,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +52,?,129893,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,1579,30,United-States,<=50K +55,Private,172642,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,208066,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +39,Private,247558,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,41,United-States,<=50K +36,Private,99233,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +46,Private,430278,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,State-gov,204374,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,38,Poland,<=50K +30,Private,136832,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +54,Federal-gov,151135,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +17,Private,95875,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K +39,Private,360494,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,?,187581,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +53,Private,98659,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +45,Private,252242,Doctorate,16,Divorced,Sales,Not-in-family,White,Male,99999,0,55,United-States,>50K +24,Private,411238,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +47,Self-emp-not-inc,199083,Masters,14,Divorced,Transport-moving,Not-in-family,White,Male,0,2258,50,United-States,>50K +38,Private,222573,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,245317,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,216414,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,50,United-States,>50K +32,Private,236396,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,311826,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,18,United-States,<=50K +38,Private,172538,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +38,Private,43712,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,<=50K +33,Private,272669,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Male,0,0,30,Hong,<=50K +50,Private,137299,Assoc-acdm,12,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +40,Private,171305,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,60,United-States,>50K +33,Local-gov,190027,HS-grad,9,Divorced,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +20,Private,376416,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +17,Local-gov,236831,12th,8,Never-married,Adm-clerical,Own-child,Black,Female,0,0,15,United-States,<=50K +27,Private,170148,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,28,United-States,<=50K +66,Private,366425,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,95864,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,England,>50K +71,Private,37435,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,3,United-States,<=50K +39,Self-emp-not-inc,151835,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,149419,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,55,United-States,<=50K +20,?,224238,Some-college,10,Never-married,?,Own-child,White,Male,0,0,6,United-States,<=50K +56,Private,359972,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,England,>50K +60,Private,23063,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,198282,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +46,Self-emp-inc,211020,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,Germany,>50K +42,Private,104196,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +56,Private,133819,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,328734,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,2238,40,United-States,<=50K +34,Self-emp-not-inc,41210,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +38,Private,225399,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +32,?,13862,HS-grad,9,Never-married,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,38,United-States,<=50K +32,Local-gov,43959,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +44,Private,83827,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +24,Private,157332,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,163706,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,70,United-States,>50K +43,Private,211517,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,1669,45,United-States,<=50K +69,?,92852,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,5,United-States,<=50K +39,Self-emp-not-inc,192626,HS-grad,9,Separated,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +55,Private,115439,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +27,Private,98769,Assoc-voc,11,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,>50K +29,Private,66473,Some-college,10,Never-married,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K +41,Self-emp-not-inc,138077,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,10,United-States,>50K +30,Local-gov,339388,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,72,United-States,>50K +28,Private,195520,Assoc-voc,11,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,Ireland,<=50K +68,Private,204680,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,37,United-States,<=50K +55,Private,184948,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,356231,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,2129,65,United-States,<=50K +55,Private,204334,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,55,England,>50K +60,Self-emp-inc,96660,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,8,United-States,>50K +44,Private,184871,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,298950,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,238802,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,?,242670,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K +47,Private,183186,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +18,Private,34125,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +23,Private,158996,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,<=50K +35,Local-gov,203883,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +61,Self-emp-inc,248160,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +54,Private,548361,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,98,United-States,<=50K +21,Private,203914,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,19,United-States,<=50K +53,State-gov,91121,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Self-emp-not-inc,139397,10th,6,Separated,Exec-managerial,Unmarried,White,Female,0,0,15,Ecuador,<=50K +56,Private,208640,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +46,Private,183013,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +36,Private,161141,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,343333,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,80,United-States,>50K +35,State-gov,210866,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,359854,Bachelors,13,Never-married,Priv-house-serv,Other-relative,White,Female,0,0,35,Mexico,<=50K +49,Self-emp-inc,235646,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,47,United-States,<=50K +60,Self-emp-not-inc,157588,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,99,United-States,<=50K +55,Private,200734,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,?,<=50K +21,Private,212213,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +38,Private,248941,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +41,Local-gov,291831,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +43,State-gov,114191,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +54,Self-emp-inc,151580,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +46,Private,331498,Doctorate,16,Never-married,Other-service,Own-child,White,Male,0,0,40,?,<=50K +20,Private,139989,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K +35,Private,187167,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +24,Private,299528,Some-college,10,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,50,Taiwan,<=50K +41,Private,226608,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +36,Private,306361,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K +40,Self-emp-not-inc,213416,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,10,Mexico,<=50K +23,Private,85139,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,48779,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +71,Self-emp-inc,146365,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,24,United-States,<=50K +36,Private,355856,5th-6th,3,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,China,<=50K +51,Private,39264,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +30,Private,117028,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +40,Private,266631,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Haiti,<=50K +26,Private,152263,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,45,United-States,<=50K +49,Private,387074,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,245211,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2002,43,United-States,<=50K +48,Private,136455,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,16,United-States,<=50K +53,State-gov,153486,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +31,Private,105479,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +40,Private,409902,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +21,?,133515,Assoc-acdm,12,Never-married,?,Own-child,White,Female,594,0,40,United-States,<=50K +38,Private,89202,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,?,185692,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,84,United-States,<=50K +34,Private,157024,10th,6,Never-married,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K +53,Private,230936,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +21,Private,57298,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +26,Private,82488,Masters,14,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K +29,Private,606111,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,235182,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +22,Private,150336,Some-college,10,Divorced,Tech-support,Other-relative,White,Female,0,0,40,United-States,<=50K +43,Federal-gov,145175,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,42,United-States,>50K +39,Private,186719,Some-college,10,Separated,Craft-repair,Unmarried,White,Female,0,0,25,United-States,<=50K +38,Local-gov,325538,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +67,Private,192995,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +31,Private,103596,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K +30,Private,207172,11th,7,Never-married,Protective-serv,Not-in-family,White,Female,0,0,35,United-States,<=50K +53,Self-emp-not-inc,237729,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,3411,0,65,United-States,<=50K +44,Private,121718,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,48,United-States,>50K +43,Private,196344,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +22,Private,100235,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,161153,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +44,Private,303619,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +88,Self-emp-not-inc,141646,7th-8th,4,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,5,United-States,<=50K +21,Private,293726,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +31,Private,190772,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,1590,35,?,<=50K +35,Local-gov,91124,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,318912,Bachelors,13,Never-married,Other-service,Own-child,Black,Male,0,0,55,United-States,<=50K +48,Private,355978,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +68,?,81468,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,16,United-States,<=50K +64,Private,183672,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +49,Private,140826,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,99999,0,50,?,>50K +44,Private,146659,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +18,Private,294720,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K +34,Private,284629,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +29,Local-gov,128091,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,153643,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Male,0,0,40,United-States,<=50K +36,Self-emp-inc,173968,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +29,?,168479,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,303177,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,Mexico,<=50K +27,Self-emp-not-inc,189030,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Local-gov,261584,Some-college,10,Separated,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +24,Private,131230,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,138852,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,<=50K +18,Private,137532,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +25,Private,67222,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +28,Private,278736,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +87,Private,143574,HS-grad,9,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,16,United-States,<=50K +54,Private,283725,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,131404,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,25,United-States,<=50K +43,Private,185015,5th-6th,3,Married-spouse-absent,Priv-house-serv,Other-relative,White,Female,0,0,40,El-Salvador,<=50K +43,Federal-gov,47902,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,3908,0,40,United-States,<=50K +38,Private,272017,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,224559,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,35,United-States,<=50K +65,Private,138247,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,22,United-States,<=50K +39,Private,365465,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +60,Self-emp-not-inc,69887,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K +30,Private,203488,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +39,Private,57691,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,7298,0,40,United-States,>50K +35,Private,193815,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,48,United-States,>50K +31,Self-emp-not-inc,37284,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,317434,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,198613,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,126060,Prof-school,15,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K +31,Private,187560,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +77,?,331863,Some-college,10,Separated,?,Not-in-family,White,Male,0,0,2,United-States,<=50K +40,State-gov,52498,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +58,Federal-gov,256466,Masters,14,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,7688,0,40,China,>50K +37,Local-gov,215618,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,80,United-States,>50K +39,Private,150057,10th,6,Separated,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,213714,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,173095,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,4,United-States,<=50K +36,?,143774,HS-grad,9,Divorced,?,Other-relative,White,Female,0,0,40,United-States,<=50K +30,Private,277488,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +39,Private,240468,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K +43,Private,197609,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +25,Private,72294,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +42,Private,219155,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +38,Private,130277,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,1726,40,United-States,<=50K +67,Private,100718,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,United-States,<=50K +57,Private,151474,HS-grad,9,Divorced,Handlers-cleaners,Other-relative,White,Female,0,0,40,United-States,<=50K +21,Private,209955,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +35,Private,23892,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +40,Private,206927,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K +35,Private,60135,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +74,?,95630,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K +19,Private,229516,7th-8th,4,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,127740,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,99,United-States,<=50K +39,State-gov,252662,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,2824,50,United-States,>50K +17,?,171080,12th,8,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +47,?,118358,HS-grad,9,Never-married,?,Other-relative,White,Female,0,0,50,?,<=50K +32,Private,160594,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1564,50,United-States,>50K +32,Local-gov,393376,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,0,0,48,United-States,<=50K +51,Federal-gov,321494,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,?,289517,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,35,United-States,<=50K +38,Private,331395,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,38,United-States,<=50K +19,?,199609,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +52,Private,178596,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +21,Private,198996,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K +33,Private,222654,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +18,Private,293510,12th,8,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,20,United-States,<=50K +32,Self-emp-not-inc,176185,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,Japan,>50K +28,Private,370509,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K +45,Private,167381,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,32,United-States,<=50K +21,Private,300445,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +24,Private,339602,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Private,329222,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,1740,40,Laos,<=50K +54,Self-emp-not-inc,183668,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K +28,Private,30014,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,?,120820,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +23,Private,33021,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +33,State-gov,295662,Bachelors,13,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Private,183168,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K +47,Self-emp-not-inc,148738,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,>50K +35,Private,214738,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +20,Private,196758,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +35,Federal-gov,105527,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +50,Private,221495,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,211938,10th,6,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,209320,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,32,United-States,<=50K +33,Private,298785,9th,5,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +37,Private,459192,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,44,United-States,<=50K +37,Private,342642,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +25,Self-emp-not-inc,46015,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +17,Private,219199,10th,6,Never-married,Other-service,Own-child,Black,Male,0,0,15,United-States,<=50K +49,Self-emp-not-inc,285858,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +66,Private,592029,HS-grad,9,Widowed,Sales,Not-in-family,Black,Female,0,0,24,United-States,<=50K +24,Private,132247,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,24,United-States,<=50K +50,Private,330543,Preschool,1,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +56,Private,176613,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +68,Private,174895,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +65,Private,200408,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +67,Private,219687,Some-college,10,Widowed,Sales,Not-in-family,White,Male,0,0,18,United-States,<=50K +17,Private,174466,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,18,United-States,<=50K +27,Private,339921,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,38,Mexico,<=50K +47,Local-gov,330080,11th,7,Married-spouse-absent,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +40,Private,151504,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +39,State-gov,275300,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +36,Private,178322,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +49,State-gov,209482,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +59,Private,157831,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,16,United-States,<=50K +46,Private,224314,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Female,0,0,20,United-States,<=50K +71,?,144461,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,3456,0,16,United-States,<=50K +42,Self-emp-not-inc,114580,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,70,United-States,<=50K +46,Self-emp-inc,321764,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +41,Private,197907,HS-grad,9,Never-married,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K +20,State-gov,199884,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +30,Private,332975,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K +29,Private,37599,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,36,United-States,<=50K +28,Private,52199,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K +61,Self-emp-not-inc,45795,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,36,United-States,<=50K +30,Private,154120,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K +27,Private,217530,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,El-Salvador,<=50K +58,Self-emp-not-inc,426263,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,32,United-States,<=50K +37,Private,406664,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Mexico,<=50K +24,Private,269799,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,127738,9th,5,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,330724,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,16,?,<=50K +47,Private,138999,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,48,United-States,>50K +33,Private,152744,Some-college,10,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +26,Private,155459,Bachelors,13,Never-married,Protective-serv,Other-relative,White,Male,0,0,45,United-States,<=50K +43,Private,222596,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +29,Private,209173,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,513977,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,<=50K +45,Private,186410,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +44,Private,230684,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,136986,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,State-gov,647591,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +25,Private,264300,Assoc-voc,11,Never-married,Prof-specialty,Own-child,White,Female,0,0,36,United-States,<=50K +59,Private,95967,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,?,<=50K +33,Private,187802,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1887,40,United-States,>50K +45,Self-emp-inc,270079,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +58,Private,141379,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K +18,Private,176653,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,26,United-States,<=50K +35,Private,176900,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +55,Private,200217,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +43,Private,188331,11th,7,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,158363,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,247422,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +45,Private,247120,HS-grad,9,Married-civ-spouse,Transport-moving,Other-relative,White,Female,0,0,50,?,<=50K +20,Local-gov,37932,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Self-emp-not-inc,32280,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,197286,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K +55,Private,228595,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,81534,11th,7,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,35,United-States,<=50K +17,Private,165457,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +28,Private,209109,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +31,Private,141817,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K +66,?,249043,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +61,Self-emp-not-inc,185640,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,>50K +19,Private,400195,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +28,Private,267912,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,370032,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +34,Private,191957,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K +53,Private,361405,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +54,Private,103580,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,116632,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +34,Private,185480,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +41,Private,94113,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,60,United-States,>50K +26,Self-emp-not-inc,75654,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Greece,<=50K +38,Private,104727,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,302406,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +63,Private,116993,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +51,Private,274528,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +53,Federal-gov,218382,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,>50K +35,Federal-gov,170425,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +49,Self-emp-inc,148437,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +43,Private,24264,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +50,State-gov,78923,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,40,United-States,>50K +49,Self-emp-inc,106169,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Local-gov,211860,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +49,Private,250821,Prof-school,15,Never-married,Farming-fishing,Other-relative,White,Male,0,0,48,United-States,<=50K +29,Private,202558,Assoc-voc,11,Married-civ-spouse,Tech-support,Other-relative,White,Female,0,0,40,United-States,<=50K +30,Private,96480,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,32,United-States,<=50K +32,Private,215912,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K +51,Self-emp-inc,182211,Some-college,10,Divorced,Sales,Own-child,White,Female,0,0,70,United-States,<=50K +33,Federal-gov,206392,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,150057,Bachelors,13,Divorced,Sales,Own-child,White,Male,0,0,50,United-States,<=50K +38,Self-emp-inc,105044,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,168195,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,42,United-States,<=50K +18,Federal-gov,54377,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K +69,Self-emp-not-inc,118174,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,20051,0,15,United-States,>50K +54,Private,229375,Some-college,10,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Federal-gov,109414,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,1977,40,Philippines,>50K +40,Private,158275,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,625,40,United-States,<=50K +40,Private,32185,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,44,United-States,<=50K +20,Private,228452,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +36,Private,170174,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,56,United-States,>50K +39,Private,162370,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +18,Private,260253,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,252392,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,99897,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +22,?,52596,Some-college,10,Never-married,?,Own-child,White,Male,0,0,15,?,>50K +38,Private,48093,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,275244,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,35,United-States,<=50K +41,Private,173316,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,162164,Some-college,10,Never-married,Priv-house-serv,Own-child,White,Female,0,0,45,United-States,<=50K +62,Private,166425,11th,7,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +31,Private,203463,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,99999,0,40,United-States,>50K +35,Private,77792,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +58,Self-emp-inc,120384,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +20,Private,257470,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K +38,Private,171482,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,50,United-States,<=50K +29,Private,162298,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +21,Private,170273,Some-college,10,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K +27,Private,384774,7th-8th,4,Divorced,Tech-support,Not-in-family,White,Female,0,0,50,United-States,<=50K +48,State-gov,120131,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,159442,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,37,Ireland,>50K +33,Private,303942,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,33436,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,42,United-States,<=50K +45,Private,193407,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Female,0,0,44,United-States,<=50K +22,Private,51985,Some-college,10,Never-married,Other-service,Own-child,White,Male,1055,0,15,United-States,<=50K +31,Local-gov,127651,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,152246,Some-college,10,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Male,0,0,40,Outlying-US(Guam-USVI-etc),<=50K +59,Private,124137,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,2202,0,40,United-States,<=50K +18,?,209735,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +18,Private,241552,11th,7,Never-married,Other-service,Own-child,White,Female,0,1719,20,United-States,<=50K +42,Private,174295,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,99,United-States,<=50K +42,Self-emp-not-inc,165815,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,52,United-States,>50K +26,Local-gov,566066,Bachelors,13,Never-married,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K +18,?,269373,12th,8,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +20,Private,143604,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +18,Local-gov,294605,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,12,United-States,<=50K +44,Private,122381,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +76,Local-gov,104443,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,1668,40,United-States,<=50K +34,Private,208116,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,25,United-States,<=50K +60,Self-emp-inc,328011,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +19,Private,375079,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +35,Private,210945,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,38,United-States,>50K +26,Private,169100,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,30126,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K +29,Private,165737,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,1,Japan,<=50K +24,Private,200295,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +39,Private,553588,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,40,United-States,>50K +58,Local-gov,164970,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +40,Private,199031,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +29,Private,187750,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +44,Self-emp-not-inc,89413,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +27,Private,188171,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +52,Self-emp-inc,392502,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +40,Federal-gov,73883,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +59,Self-emp-inc,76860,5th-6th,3,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,99999,0,40,China,>50K +19,Private,376683,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,35,United-States,<=50K +23,Private,189013,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,37,United-States,<=50K +32,Private,190385,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +34,Private,154874,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,175032,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,42,United-States,<=50K +68,Self-emp-not-inc,338432,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +64,Private,30725,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +33,Local-gov,319280,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +64,Private,280957,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +42,Private,256813,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +60,Private,276213,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,161496,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +33,Private,399531,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +74,Self-emp-not-inc,168951,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,14,United-States,<=50K +38,Self-emp-not-inc,108140,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +43,Private,358677,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +36,Local-gov,127424,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,50,?,>50K +45,Self-emp-not-inc,163559,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,48,?,<=50K +45,Self-emp-not-inc,390746,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +28,Private,187981,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,187715,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,46,United-States,>50K +25,Private,192449,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +42,State-gov,381581,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,State-gov,211049,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K +43,Private,214242,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Poland,<=50K +35,Private,190759,11th,7,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,209301,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +56,Self-emp-not-inc,118614,Masters,14,Separated,Sales,Unmarried,White,Female,0,0,36,United-States,<=50K +22,Private,124971,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K +29,Private,198704,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Local-gov,32587,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,50,United-States,>50K +51,Local-gov,227261,Some-college,10,Divorced,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K +35,Private,250988,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +42,State-gov,147206,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +21,Private,25265,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,18,United-States,<=50K +54,Local-gov,188446,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,206017,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +36,Local-gov,287821,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +62,Federal-gov,223163,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +52,Private,38973,10th,6,Widowed,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +45,Private,370274,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +64,Private,271559,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,30,Columbia,<=50K +66,Private,171331,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K +53,Private,201127,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,64874,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +37,Private,202683,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,35,United-States,<=50K +17,Self-emp-not-inc,103851,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,4,United-States,<=50K +34,Private,196266,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +28,Private,303601,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,43150,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,?,193889,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,?,<=50K +28,Private,177036,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K +32,Self-emp-not-inc,135304,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3942,0,32,United-States,<=50K +17,Private,25982,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +51,State-gov,103063,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,40,United-States,>50K +41,Private,328239,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Private,142724,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,<=50K +31,Private,198452,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,18,United-States,<=50K +28,Private,285897,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,34568,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K +44,Self-emp-not-inc,136986,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +31,Self-emp-not-inc,404062,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,Portugal,>50K +39,Private,80479,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K +30,Private,433325,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +56,Self-emp-not-inc,368797,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +41,Private,157473,Masters,14,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,50,United-States,>50K +24,Private,193130,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +33,Private,91667,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +36,Private,153078,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,15024,0,40,Hong,>50K +31,Private,179673,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +39,Private,236648,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1848,42,United-States,>50K +41,Private,77357,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +19,Private,267796,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +57,Private,335276,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +35,Private,189102,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +34,Self-emp-not-inc,203051,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K +38,Private,167440,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,186087,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +25,Private,334267,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,45,United-States,<=50K +49,Private,172246,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +34,Local-gov,117963,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +22,?,374116,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,36,United-States,<=50K +60,Private,304074,Some-college,10,Widowed,Transport-moving,Not-in-family,White,Male,0,0,28,United-States,<=50K +35,Private,212195,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,35,United-States,>50K +42,Self-emp-not-inc,52781,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +61,Local-gov,176671,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,<=50K +24,Private,175778,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,340126,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +64,Private,237581,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,Mexico,>50K +47,Local-gov,246891,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,0,0,45,United-States,>50K +23,Private,181659,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K +34,Private,209900,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,15,United-States,<=50K +47,Private,151826,10th,6,Divorced,Tech-support,Unmarried,Black,Female,0,0,38,United-States,<=50K +43,Self-emp-inc,210013,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +47,Self-emp-inc,120131,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +57,Private,366421,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Mexico,<=50K +19,Private,137578,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K +36,Private,89625,10th,6,Separated,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +72,Self-emp-not-inc,298945,Bachelors,13,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,>50K +34,Local-gov,108247,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +31,Private,103642,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +25,?,181528,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,25,United-States,<=50K +23,Private,131699,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,14,United-States,<=50K +18,Private,154089,11th,7,Never-married,Sales,Unmarried,White,Male,0,0,20,United-States,<=50K +41,Private,247081,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +45,Private,276839,Some-college,10,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,166115,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +27,Private,192936,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K +50,Private,247425,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +41,Self-emp-not-inc,198196,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +20,Private,260254,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +60,Private,176360,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +21,?,214731,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +23,Private,107564,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,24,United-States,<=50K +32,Private,29312,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,190610,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +40,Private,296858,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5178,0,40,United-States,>50K +42,Private,294431,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +34,Private,259818,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +37,Local-gov,161111,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,10,United-States,<=50K +42,?,85995,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,52,United-States,<=50K +18,Private,108501,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,25,United-States,<=50K +27,Private,135296,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Federal-gov,491607,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,32,United-States,<=50K +61,Self-emp-not-inc,170278,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,Philippines,<=50K +41,Private,309932,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Local-gov,117310,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,21,United-States,>50K +46,Private,234289,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +45,Federal-gov,199925,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,White,Male,0,0,48,United-States,<=50K +70,Local-gov,31540,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +46,Private,202606,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,0,0,30,Haiti,<=50K +20,Private,239577,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,110013,Masters,14,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Local-gov,230054,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,203558,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +51,Self-emp-not-inc,222883,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,55,United-States,<=50K +39,Private,61518,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +45,Private,246891,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +51,Private,194995,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +52,Private,207025,HS-grad,9,Divorced,Priv-house-serv,Unmarried,Black,Female,0,0,24,United-States,<=50K +39,Self-emp-inc,128715,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +30,Private,180168,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K +44,Self-emp-not-inc,270495,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,50,United-States,<=50K +44,Private,191196,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +28,State-gov,624572,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +43,Private,488706,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,Mexico,<=50K +43,Self-emp-not-inc,52131,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K +38,Private,134635,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +41,Private,197033,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K +36,Private,112576,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,134737,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,<=50K +45,Private,154237,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K +30,Private,103200,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Taiwan,<=50K +25,Private,179599,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,38,United-States,<=50K +57,?,274900,7th-8th,4,Married-civ-spouse,?,Other-relative,White,Male,0,0,45,Dominican-Republic,<=50K +21,Private,138580,12th,8,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +43,Local-gov,187034,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,263568,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,594,0,35,United-States,<=50K +21,Private,142332,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,25,United-States,<=50K +40,Private,174090,Assoc-voc,11,Never-married,Sales,Unmarried,White,Female,4687,0,50,United-States,>50K +38,Federal-gov,103323,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,55,United-States,>50K +24,Private,108670,Assoc-voc,11,Never-married,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K +18,?,326640,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +54,Private,99185,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +29,Private,365328,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +19,Federal-gov,53220,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,1602,20,United-States,<=50K +22,Private,369084,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +48,Federal-gov,55377,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,55,Jamaica,>50K +64,Private,271094,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +27,Private,165014,Some-college,10,Married-civ-spouse,Sales,Own-child,Other,Female,0,0,11,Mexico,<=50K +40,Local-gov,284086,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +47,Federal-gov,186256,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +19,Private,84250,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,22,United-States,<=50K +39,Private,189404,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +34,Private,152667,12th,8,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K +36,Private,239755,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +44,Private,271756,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K +23,Private,332657,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +36,Private,141029,HS-grad,9,Separated,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,41281,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,65,United-States,<=50K +41,Federal-gov,27444,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +20,Private,267945,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +30,Private,177675,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +20,Private,135716,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,44,United-States,<=50K +40,Private,91355,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +47,Self-emp-not-inc,53292,Assoc-acdm,12,Widowed,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K +51,Private,256466,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,50,Philippines,<=50K +40,Private,126701,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,13550,0,50,United-States,>50K +25,Private,64671,1st-4th,2,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +50,Without-pay,123004,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Own-child,White,Female,0,1887,40,United-States,>50K +26,Private,167350,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +62,State-gov,160062,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,<=50K +34,Private,35683,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,146565,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +37,Self-emp-not-inc,168166,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,117779,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,2977,0,65,United-States,<=50K +58,Local-gov,310085,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +26,Private,262413,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,Italy,<=50K +56,Private,152874,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,1741,40,United-States,<=50K +29,Private,35314,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +37,Private,32719,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +37,Private,224566,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,190290,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,1602,40,United-States,<=50K +26,Private,331806,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,37,United-States,<=50K +45,Self-emp-inc,328610,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +20,Private,221533,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,350169,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,38,Japan,<=50K +29,Private,125131,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,>50K +71,?,158437,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,40,Hungary,<=50K +37,Private,180714,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,48,United-States,<=50K +40,Private,284086,9th,5,Divorced,Transport-moving,Not-in-family,White,Male,0,0,30,United-States,<=50K +33,Private,119422,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +22,?,327060,HS-grad,9,Never-married,?,Unmarried,Black,Male,0,0,8,United-States,<=50K +32,Private,171813,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +39,Local-gov,20308,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +17,?,45037,10th,6,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K +53,Private,139157,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,228931,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +60,Private,220729,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +43,Self-emp-not-inc,147230,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +29,Private,79586,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,65,United-States,<=50K +40,Self-emp-inc,279914,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,40,United-States,>50K +62,Private,142769,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,226525,10th,6,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,178759,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +49,Private,106705,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,36,United-States,<=50K +57,Private,194161,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,42,Italy,>50K +37,Private,225385,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +66,Self-emp-not-inc,331960,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +50,Private,156877,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K +24,Private,271354,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,33117,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +38,Private,212437,Assoc-acdm,12,Never-married,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K +37,Private,121228,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,1726,50,United-States,<=50K +62,Self-emp-not-inc,142139,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K +54,Private,165001,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +56,Local-gov,294623,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +24,Local-gov,244413,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,35,Dominican-Republic,<=50K +29,Private,146014,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +53,Self-emp-not-inc,197014,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +56,Self-emp-not-inc,169528,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +60,?,162397,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,<=50K +38,Self-emp-not-inc,154641,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +52,Private,251585,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +28,Private,46322,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,38,United-States,<=50K +46,Local-gov,197042,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K +43,Private,111829,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Local-gov,229005,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +64,Private,298546,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +43,Federal-gov,111483,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K +64,Private,104973,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +40,Private,383300,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,135162,1st-4th,2,Married-spouse-absent,Adm-clerical,Not-in-family,White,Male,0,0,40,?,<=50K +36,Private,87520,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +19,Private,183258,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,206546,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K +55,Private,199212,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,5178,0,40,United-States,>50K +41,Local-gov,207685,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,61,United-States,>50K +36,Private,213277,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,129980,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +28,Private,118089,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,45,United-States,>50K +34,Self-emp-not-inc,236391,11th,7,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K +49,Private,209057,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +47,Private,98044,Preschool,1,Never-married,Other-service,Not-in-family,White,Male,0,0,25,El-Salvador,<=50K +21,Private,154192,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,48268,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,158762,10th,6,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K +22,Private,87569,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,1762,40,United-States,<=50K +33,?,274800,HS-grad,9,Separated,?,Own-child,Black,Female,0,0,40,United-States,<=50K +42,Local-gov,230684,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1579,40,United-States,<=50K +52,Private,155496,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +37,Private,22494,Some-college,10,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,41,United-States,<=50K +42,Private,200610,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,60,United-States,<=50K +48,State-gov,54985,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,207807,10th,6,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,30,United-States,<=50K +18,Private,294263,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,9,United-States,<=50K +23,Private,204226,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +90,Local-gov,188242,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,11678,0,40,United-States,>50K +47,Private,20956,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +40,Private,55567,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +23,State-gov,251325,Some-college,10,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,8,?,<=50K +33,Self-emp-not-inc,75417,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,8,United-States,<=50K +36,Local-gov,185556,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +38,Private,96732,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,Mexico,<=50K +31,Private,323985,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +52,Federal-gov,198186,10th,6,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +21,Private,147884,Some-college,10,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +35,Private,285000,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +54,Private,91882,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K +37,Private,196434,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +52,Private,191968,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,222756,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,7430,0,40,United-States,>50K +34,Private,66384,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K +46,Private,165937,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +56,Private,243076,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,193026,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K +39,State-gov,126894,Doctorate,16,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,30,United-States,<=50K +24,Private,214399,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,55,United-States,<=50K +70,?,98979,Some-college,10,Married-civ-spouse,?,Husband,Black,Male,0,0,20,United-States,>50K +29,Private,191177,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,18,United-States,<=50K +27,Private,420351,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +53,Private,159849,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +36,Private,128392,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,4787,0,40,United-States,>50K +27,Private,130492,11th,7,Divorced,Craft-repair,Unmarried,Other,Male,0,0,35,United-States,<=50K +48,Private,59380,Some-college,10,Never-married,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K +59,Local-gov,130532,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +29,Private,535740,HS-grad,9,Never-married,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K +21,Private,186452,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +29,Private,276418,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,2051,32,United-States,<=50K +19,?,383715,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,25,United-States,<=50K +32,Private,418617,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,55,El-Salvador,<=50K +23,Private,607118,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,36,United-States,<=50K +42,Self-emp-inc,230592,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +68,Local-gov,212932,10th,6,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,20,United-States,<=50K +51,Self-emp-not-inc,321865,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,99,United-States,<=50K +36,Private,240755,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K +25,Private,167571,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +70,Self-emp-not-inc,165586,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +29,Self-emp-not-inc,132267,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,<=50K +53,Private,308082,Preschool,1,Never-married,Other-service,Not-in-family,White,Female,0,0,15,El-Salvador,<=50K +31,Self-emp-not-inc,402812,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,45,United-States,>50K +25,Local-gov,136357,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,117549,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,35,United-States,<=50K +41,Private,482677,10th,6,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K +72,Self-emp-not-inc,112658,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,2653,0,42,United-States,<=50K +34,Private,120461,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,83444,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,55,United-States,>50K +34,Private,93699,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K +45,Private,174794,Some-college,10,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,29,United-States,<=50K +22,Private,157332,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +20,Private,420973,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +30,Private,176471,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K +31,Private,113708,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +21,State-gov,82497,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +32,Private,169512,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,>50K +44,Private,157765,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,277946,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,?,195808,11th,7,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K +50,Private,57852,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +46,Private,99699,Bachelors,13,Separated,Prof-specialty,Not-in-family,Black,Female,0,1876,40,United-States,<=50K +32,Private,296466,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +44,Self-emp-inc,248476,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +43,Private,409902,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,96,United-States,<=50K +19,?,187161,HS-grad,9,Married-civ-spouse,?,Own-child,White,Female,0,0,20,United-States,<=50K +36,Local-gov,220237,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1977,40,United-States,>50K +21,Private,303187,Some-college,10,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +38,Private,285890,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,55,United-States,>50K +38,Self-emp-inc,63322,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +56,Self-emp-not-inc,159937,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,30,United-States,>50K +28,Private,208725,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +41,Private,325159,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +56,Private,89698,HS-grad,9,Widowed,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +32,Private,399088,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +35,Private,134922,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,50,United-States,<=50K +22,Private,245866,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,406328,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,50,United-States,>50K +72,Self-emp-not-inc,203523,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,10,United-States,<=50K +30,Private,272432,HS-grad,9,Never-married,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +30,State-gov,182271,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,193746,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +49,Self-emp-not-inc,203505,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +41,Private,118484,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,391591,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +29,Private,30069,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,50,United-States,<=50K +38,Private,179731,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,52,United-States,<=50K +34,Private,128016,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,2202,0,40,United-States,<=50K +38,Private,139473,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +26,State-gov,130302,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,250630,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Local-gov,115222,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,10520,0,40,United-States,>50K +19,Private,198700,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,20,United-States,<=50K +23,Private,394191,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +78,Private,163140,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,12,United-States,<=50K +26,Private,243786,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K +42,State-gov,248406,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +20,?,33860,Some-college,10,Never-married,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,28,United-States,<=50K +45,Private,138342,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,84,United-States,<=50K +41,Private,115254,Some-college,10,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +55,Private,173504,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,>50K +17,Private,89259,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +30,State-gov,152940,Masters,14,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +27,Private,58124,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +40,Private,201908,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +39,Private,156780,HS-grad,9,Married-spouse-absent,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,?,<=50K +26,Private,152924,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +31,Private,115963,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,375313,Some-college,10,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,45,Philippines,<=50K +46,Local-gov,126754,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +35,State-gov,223725,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,<=50K +38,Private,298871,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K +25,Local-gov,306352,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,40,Mexico,>50K +45,Private,166879,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,?,125040,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +27,Self-emp-not-inc,198493,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +44,Private,86298,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +40,Private,249039,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,217200,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,145139,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +24,Local-gov,146343,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,102976,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +50,Local-gov,24013,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +54,Private,162745,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +55,Private,128045,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,245937,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,<=50K +34,Private,426431,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +41,Private,409902,10th,6,Separated,Other-service,Unmarried,Black,Female,0,0,33,United-States,<=50K +43,Private,580591,1st-4th,2,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,28,Mexico,<=50K +76,Self-emp-not-inc,130585,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,12,United-States,<=50K +24,Private,201145,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K +51,Private,196107,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +55,Private,178353,9th,5,Divorced,Machine-op-inspct,Not-in-family,White,Male,10520,0,60,United-States,>50K +23,Private,195508,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +23,Private,224716,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K +18,?,280901,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K +43,Private,169076,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +39,Private,141584,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K +57,Self-emp-not-inc,253267,5th-6th,3,Separated,Other-service,Unmarried,White,Female,0,0,35,Cuba,<=50K +27,Private,203776,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +54,Local-gov,449172,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +37,Private,174329,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +44,Private,91674,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +62,Private,202958,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,205680,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +29,Private,193932,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,177635,12th,8,Married-spouse-absent,Transport-moving,Unmarried,White,Male,0,0,40,Mexico,<=50K +65,?,180422,Assoc-acdm,12,Never-married,?,Not-in-family,White,Male,6723,0,38,United-States,<=50K +18,Private,231335,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,141058,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +20,Federal-gov,114365,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +23,Local-gov,212856,Assoc-acdm,12,Never-married,Protective-serv,Own-child,Black,Female,0,0,35,United-States,<=50K +23,Private,64292,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Self-emp-not-inc,96609,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,?,438427,Assoc-acdm,12,Separated,?,Unmarried,Black,Female,0,0,55,United-States,<=50K +62,?,144026,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +21,Private,105997,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,20,United-States,<=50K +47,Local-gov,154430,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +19,Private,162954,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +21,Private,94826,5th-6th,3,Never-married,Craft-repair,Own-child,White,Male,0,0,40,Guatemala,<=50K +27,Private,54897,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,135020,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K +40,Self-emp-not-inc,367819,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K +22,Private,225531,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,2205,40,United-States,<=50K +49,Private,165937,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,131230,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,30,United-States,<=50K +38,Private,95647,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K +66,Private,115880,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,10605,0,40,United-States,>50K +37,Private,262278,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,Black,Male,15024,0,45,United-States,>50K +38,Private,126755,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +47,Local-gov,150211,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +47,Private,188694,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K +53,Self-emp-inc,59840,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +36,Private,144752,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,48,United-States,<=50K +63,Private,192042,HS-grad,9,Married-civ-spouse,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K +46,Private,230806,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,364946,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +40,Private,133986,10th,6,Separated,Transport-moving,Unmarried,White,Female,0,0,70,United-States,<=50K +21,?,201418,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +31,Private,236543,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +45,Private,238386,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +50,Local-gov,96062,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,>50K +41,Private,202565,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +46,Private,194063,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +62,Self-emp-not-inc,243733,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,70,United-States,>50K +20,Private,403519,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,1719,33,United-States,<=50K +48,State-gov,104353,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,Black,Female,0,0,40,United-States,>50K +23,Private,239539,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +36,Private,104089,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +33,Local-gov,93585,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,139277,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Female,0,0,40,Italy,<=50K +22,Private,124971,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +50,Private,82566,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +22,Private,145964,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +32,Federal-gov,177855,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +18,Private,263656,11th,7,Never-married,Sales,Own-child,Black,Male,0,0,25,United-States,<=50K +40,Private,199191,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,England,>50K +39,Private,212840,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +56,Private,191330,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +50,Self-emp-inc,193720,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,Greece,>50K +39,Self-emp-inc,172927,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +33,Private,51185,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,186145,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Self-emp-not-inc,181307,Doctorate,16,Separated,Prof-specialty,Not-in-family,White,Male,0,1408,40,United-States,<=50K +20,Private,180052,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,22,United-States,<=50K +24,?,61791,9th,5,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +44,Self-emp-not-inc,52505,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K +36,Private,48976,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +37,Private,281012,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,Asian-Pac-Islander,Female,0,0,40,China,>50K +33,Private,156464,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +71,Local-gov,94358,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,6,United-States,<=50K +44,Federal-gov,296858,Masters,14,Married-civ-spouse,Armed-Forces,Husband,White,Male,0,0,40,United-States,>50K +46,Private,84790,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +43,Private,177054,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +38,Local-gov,131239,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +30,Federal-gov,49398,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +44,Private,27242,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Philippines,<=50K +41,Local-gov,113324,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,295591,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Mexico,<=50K +61,Private,48549,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,38,United-States,>50K +45,Local-gov,384627,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,2580,0,18,United-States,<=50K +25,Private,266062,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,65,United-States,<=50K +26,State-gov,208117,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,38,United-States,<=50K +23,Private,315476,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K +35,Private,20308,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Private,169204,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,319831,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +32,Private,80356,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K +26,Private,313473,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +31,Private,209529,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +24,Private,214956,11th,7,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +31,Private,557853,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,32,United-States,<=50K +49,Private,78529,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +37,Private,446390,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,>50K +43,Local-gov,256253,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +31,Private,61898,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +34,Private,181152,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,35,United-States,<=50K +34,Private,90409,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +35,Self-emp-inc,237713,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +29,Private,176727,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K +26,Private,285367,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Male,4416,0,28,United-States,<=50K +36,Private,135293,Masters,14,Separated,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +39,?,105044,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,7298,0,40,United-States,>50K +48,State-gov,98010,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,16,United-States,>50K +56,Private,162301,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +65,Self-emp-inc,103824,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +28,Private,115677,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K +48,Local-gov,319079,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K +64,Private,134912,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,12,United-States,<=50K +31,Private,35985,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,245317,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,35743,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +54,Private,231004,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K +51,Private,237295,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,43311,5th-6th,3,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,El-Salvador,<=50K +18,Private,154583,11th,7,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K +64,Private,278515,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +26,Private,266062,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +36,Self-emp-not-inc,172425,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,>50K +46,Self-emp-not-inc,102388,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +48,Private,195554,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K +32,Private,265368,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,44,United-States,>50K +19,Private,100669,Assoc-voc,11,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K +45,Private,233511,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +42,Self-emp-inc,223566,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,15,United-States,<=50K +22,Private,95552,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,159676,HS-grad,9,Divorced,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K +19,?,80978,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K +48,Private,70584,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,153475,11th,7,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Self-emp-not-inc,104489,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +54,Private,146325,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +39,Self-emp-not-inc,246900,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +35,Private,187589,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Self-emp-not-inc,65535,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +50,Private,38540,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,191389,5th-6th,3,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Italy,<=50K +19,Private,231492,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,60,United-States,<=50K +32,Private,130007,10th,6,Divorced,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +64,Self-emp-inc,487751,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +33,Private,52240,Some-college,10,Never-married,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K +65,Self-emp-not-inc,172906,Assoc-acdm,12,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +47,Private,158685,12th,8,Divorced,Other-service,Not-in-family,White,Female,0,0,48,United-States,<=50K +33,Private,307693,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,30,United-States,<=50K +40,Private,202922,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +61,Local-gov,119563,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +30,Private,161444,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,<=50K +27,Private,82242,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Male,0,0,45,Germany,<=50K +68,Private,357233,HS-grad,9,Widowed,Handlers-cleaners,Other-relative,White,Female,0,0,10,United-States,<=50K +31,Private,177596,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Puerto-Rico,<=50K +27,Private,209085,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,45,United-States,<=50K +35,Private,241306,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +32,Private,19447,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +48,Private,195104,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +22,Private,109456,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,32,United-States,<=50K +68,Private,34887,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,6,United-States,<=50K +55,Private,202435,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Private,191821,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K +49,Self-emp-not-inc,228372,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,60,United-States,>50K +37,Private,78374,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,38,Japan,<=50K +58,Private,129786,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,410439,HS-grad,9,Divorced,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +35,Self-emp-inc,152307,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,40,United-States,<=50K +42,Private,33895,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,178390,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +63,Private,114011,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,157839,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +30,Federal-gov,97355,Some-college,10,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,369781,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,15024,0,45,United-States,>50K +22,Private,225515,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +21,Private,138513,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,25,United-States,<=50K +72,Self-emp-not-inc,138248,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +28,Self-emp-not-inc,149141,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +36,Federal-gov,233955,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +40,Federal-gov,150533,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1977,40,United-States,>50K +53,Private,233369,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +22,Private,188779,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,16,United-States,<=50K +53,Private,287927,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,60,England,<=50K +20,?,96483,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,8,United-States,<=50K +39,Private,165215,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,15,Poland,<=50K +32,Private,107142,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,50,United-States,<=50K +48,Private,82008,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +25,Private,116044,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Private,160101,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,55,United-States,<=50K +41,Private,356934,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +36,Private,204527,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,1506,0,40,United-States,<=50K +36,Private,276276,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,110408,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +37,Private,187022,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,117528,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Private,180439,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,33,United-States,<=50K +47,Private,185870,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +21,Private,290504,Some-college,10,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +49,Private,162264,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +38,Private,253716,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,State-gov,190525,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +29,Private,283227,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,375221,11th,7,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,35,United-States,<=50K +30,Private,194971,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,52,China,<=50K +30,Private,198091,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K +30,Private,224462,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,198751,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +27,Private,221166,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +54,Local-gov,277777,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,3103,0,40,United-States,>50K +32,Local-gov,247156,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,3103,0,38,United-States,>50K +23,Private,61777,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,2580,0,40,United-States,<=50K +62,Private,67928,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +20,Private,204596,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,32,United-States,<=50K +23,Private,27881,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,66,United-States,<=50K +48,Private,332884,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Private,178551,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,26,United-States,<=50K +22,Private,215917,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +56,Private,284701,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +63,Private,286990,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +73,Private,366204,7th-8th,4,Widowed,Priv-house-serv,Unmarried,Black,Female,1264,0,10,United-States,<=50K +22,Private,163519,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +51,Private,123780,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Private,108140,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +31,Federal-gov,469263,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Male,0,0,50,United-States,<=50K +52,Private,216558,Some-college,10,Separated,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +46,Private,149218,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +32,Private,113453,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,24,United-States,>50K +46,Private,23545,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,409443,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,25,Mexico,<=50K +29,Local-gov,152744,Masters,14,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,1506,0,40,United-States,<=50K +33,Private,166543,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +23,Private,224217,11th,7,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K +41,State-gov,244522,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Male,0,0,55,United-States,<=50K +50,Private,148121,Some-college,10,Widowed,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +69,Private,295425,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,24,United-States,<=50K +30,Self-emp-not-inc,255424,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +21,Private,97214,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +29,Local-gov,158703,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +43,?,478972,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K +44,Private,180383,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K +33,Private,159123,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +51,Private,231230,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +25,Private,134232,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +23,Private,90729,11th,7,Never-married,Machine-op-inspct,Unmarried,Other,Male,0,0,40,United-States,<=50K +36,Private,275338,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +23,Private,410446,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,120475,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +39,Federal-gov,127048,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +60,State-gov,113544,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +34,Self-emp-inc,233727,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +62,Self-emp-not-inc,210064,Some-college,10,Widowed,Prof-specialty,Unmarried,White,Male,0,0,20,United-States,<=50K +53,Private,77462,Some-college,10,Separated,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +25,Private,108001,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +36,Private,379522,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,40,United-States,>50K +29,State-gov,51461,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K +31,Private,147270,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +44,Private,118212,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,189792,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +58,Private,225623,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K +38,Private,248445,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +39,Private,218490,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K +22,?,379883,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +38,Self-emp-inc,312232,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +47,Private,234470,Assoc-acdm,12,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +19,Private,389942,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,79483,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +39,Private,389279,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +50,Self-emp-not-inc,107581,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,176458,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +19,Private,70505,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +51,Local-gov,259646,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Private,235743,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Male,0,0,45,United-States,<=50K +35,Private,177449,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,52,United-States,>50K +28,Private,103432,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,45,Portugal,>50K +47,Private,347088,5th-6th,3,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Self-emp-not-inc,275924,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,Mexico,>50K +34,Private,162113,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,48,United-States,>50K +17,Private,147497,5th-6th,3,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +33,Self-emp-not-inc,37232,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,10520,0,80,United-States,>50K +33,Private,441949,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K +30,Private,285855,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,103123,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +46,Private,207076,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,<=50K +38,Self-emp-not-inc,36270,HS-grad,9,Married-spouse-absent,Farming-fishing,Unmarried,White,Male,0,0,60,United-States,<=50K +43,Private,206927,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +32,Private,236415,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,108035,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,225395,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,24,United-States,<=50K +28,State-gov,140239,HS-grad,9,Separated,Other-service,Own-child,White,Female,0,0,11,United-States,<=50K +36,Private,338033,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +55,Private,314164,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +56,Private,337065,7th-8th,4,Divorced,Farming-fishing,Other-relative,White,Male,0,0,40,United-States,<=50K +33,State-gov,340899,Doctorate,16,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +49,Private,102096,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3781,0,40,United-States,<=50K +47,Private,31141,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +62,Private,312818,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,1,United-States,>50K +42,Local-gov,270147,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,97279,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +31,Private,247328,5th-6th,3,Never-married,Transport-moving,Not-in-family,White,Male,0,0,30,El-Salvador,<=50K +48,Self-emp-not-inc,31267,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,3411,0,70,United-States,<=50K +32,Private,220066,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Self-emp-not-inc,159269,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,53,Yugoslavia,<=50K +47,Private,155107,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +24,Local-gov,354351,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +18,Private,129053,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,28,United-States,<=50K +58,Private,255822,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,192323,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +31,Private,176244,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K +23,Private,223019,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +32,Private,243243,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,77,United-States,<=50K +22,State-gov,194630,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K +51,Self-emp-inc,98980,HS-grad,9,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,99,United-States,>50K +39,Private,223792,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,72,United-States,<=50K +31,Private,415706,10th,6,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Local-gov,68781,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +68,Self-emp-inc,113718,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,1258,40,United-States,<=50K +37,Local-gov,152587,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,State-gov,120268,Some-college,10,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,0,50,United-States,>50K +37,Private,52870,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +55,Local-gov,193895,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +32,Private,239662,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,1579,36,United-States,<=50K +51,Local-gov,201040,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Mexico,>50K +36,State-gov,25806,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K +46,Private,130667,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +55,Private,141807,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +51,State-gov,108037,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Local-gov,129311,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,149218,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K +42,Private,337276,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +48,Local-gov,24366,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +61,?,149855,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,2057,70,United-States,<=50K +35,Self-emp-inc,49020,Assoc-acdm,12,Never-married,Farming-fishing,Own-child,White,Male,0,0,35,United-States,<=50K +36,Private,165007,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,83413,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,103331,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,15024,0,44,United-States,>50K +56,Private,142689,11th,7,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +36,Private,398575,Some-college,10,Never-married,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Private,166301,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,53703,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,274907,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +34,Private,226525,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,36440,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,81965,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +52,Private,111192,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +20,Private,214238,11th,7,Never-married,Sales,Other-relative,White,Female,0,0,32,Mexico,<=50K +43,Private,115932,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +33,Private,173730,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +63,Private,123157,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +67,Private,220283,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +24,Private,155066,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,244246,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,Poland,<=50K +37,Private,112264,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,200450,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +66,?,128609,HS-grad,9,Divorced,?,Not-in-family,Black,Male,0,0,40,United-States,>50K +57,Private,340591,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +36,Local-gov,43712,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +41,Private,316820,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +48,Private,44142,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +24,Private,311311,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,65,United-States,<=50K +66,?,143417,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,<=50K +29,Private,264166,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,Mexico,<=50K +44,Private,112656,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K +45,Private,123844,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,60,United-States,<=50K +27,Private,146760,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +36,Private,225516,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +36,Private,114366,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +32,State-gov,199227,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,<=50K +18,Private,299347,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +39,Private,74194,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,1721,45,United-States,<=50K +25,Private,244408,HS-grad,9,Married-civ-spouse,Exec-managerial,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +26,Private,198289,12th,8,Never-married,Farming-fishing,Other-relative,White,Male,0,0,40,Puerto-Rico,<=50K +63,State-gov,89451,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +50,Local-gov,149433,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +47,Private,236999,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +17,Private,34943,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +46,Self-emp-inc,40666,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,15024,0,40,United-States,>50K +34,Private,329170,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,6849,0,70,United-States,<=50K +26,Private,122999,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +48,Local-gov,118972,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,205068,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K +40,Private,195124,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Columbia,<=50K +21,Private,143184,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +55,?,90290,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,175232,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +41,Private,319366,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,Haiti,>50K +34,Private,61559,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +47,Private,247869,Some-college,10,Separated,Transport-moving,Unmarried,White,Male,0,0,50,United-States,>50K +39,Private,204158,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5178,0,60,United-States,>50K +36,Private,239755,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,198210,HS-grad,9,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +46,Local-gov,190961,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +77,Private,171193,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Female,0,1668,30,United-States,<=50K +27,Private,110073,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,England,>50K +19,Private,163885,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +38,Private,99783,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,White,Female,0,1902,40,United-States,<=50K +18,Private,430930,11th,7,Never-married,Priv-house-serv,Own-child,White,Female,0,0,6,United-States,<=50K +54,Private,200450,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,35,United-States,<=50K +33,Private,226296,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,1672,50,United-States,<=50K +45,Self-emp-inc,214690,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,181008,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,England,>50K +26,Local-gov,345779,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,43,United-States,<=50K +26,Private,58350,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +41,Private,164647,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +21,Private,142809,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,105803,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +26,Private,195067,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,289964,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +26,Private,194813,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +43,Self-emp-inc,303211,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,37932,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K +73,Self-emp-not-inc,268832,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +33,Private,63925,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,35,United-States,<=50K +25,Private,189897,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,635913,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +25,?,296228,Some-college,10,Never-married,?,Unmarried,Other,Female,0,0,42,United-States,<=50K +42,Self-emp-not-inc,138162,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +54,Self-emp-not-inc,164757,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,16,United-States,<=50K +33,Private,236013,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,>50K +79,Private,149912,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,85384,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +52,Self-emp-not-inc,30008,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +23,State-gov,209744,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K +25,Private,161027,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +54,Private,131662,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,Germany,<=50K +47,Private,115971,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +21,Private,88373,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,16,United-States,<=50K +45,Federal-gov,211399,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +22,Local-gov,273989,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,124614,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Private,263439,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +56,Self-emp-not-inc,19896,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,60,United-States,>50K +31,Private,229732,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,50,United-States,<=50K +59,?,169611,Some-college,10,Married-civ-spouse,?,Wife,White,Female,7298,0,12,United-States,>50K +36,Private,220237,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,Greece,>50K +46,Self-emp-not-inc,130779,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,United-States,>50K +24,Private,152540,Bachelors,13,Divorced,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Private,168330,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,40,United-States,<=50K +29,Private,485944,Bachelors,13,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K +34,Private,199539,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +26,Private,210521,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K +19,Private,244175,11th,7,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K +42,Private,223763,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +56,Self-emp-not-inc,183580,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,?,<=50K +42,Private,63596,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +35,Private,108540,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,40,United-States,<=50K +43,Self-emp-not-inc,116632,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,1887,45,United-States,>50K +17,Private,175414,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +38,Federal-gov,290624,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,557805,Assoc-voc,11,Never-married,Sales,Other-relative,White,Female,0,0,40,El-Salvador,<=50K +20,Private,19410,HS-grad,9,Never-married,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +48,Private,206357,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,44,United-States,<=50K +38,Private,216385,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,1740,40,Haiti,<=50K +46,Private,120131,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,40,United-States,>50K +72,Private,131699,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,6,United-States,<=50K +30,Self-emp-not-inc,157778,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +31,Private,302679,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,133292,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K +83,Self-emp-not-inc,243567,11th,7,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,20,United-States,<=50K +61,Private,72442,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +42,Self-emp-not-inc,43909,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K +23,Private,108307,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +20,Local-gov,87467,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,18,United-States,<=50K +42,State-gov,99185,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +27,Federal-gov,37274,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +44,Self-emp-not-inc,342434,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +62,Self-emp-not-inc,234372,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +66,Self-emp-inc,107627,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +22,?,377725,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,23,United-States,<=50K +32,Private,30271,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +30,Private,368570,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +43,Private,316820,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +56,State-gov,176538,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +64,Private,265786,5th-6th,3,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +31,Private,82393,Some-college,10,Married-civ-spouse,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,30,Philippines,<=50K +46,Private,318259,Some-college,10,Separated,Tech-support,Unmarried,White,Female,0,0,55,United-States,<=50K +45,Private,157980,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K +41,Private,173981,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K +52,Federal-gov,165050,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,>50K +19,Private,303652,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +34,Private,393376,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +57,Self-emp-inc,121912,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +30,Private,351770,9th,5,Divorced,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K +39,Self-emp-not-inc,198841,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,Canada,>50K +41,Local-gov,139160,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +21,?,214810,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K +31,Private,137385,Some-college,10,Never-married,Tech-support,Not-in-family,Black,Female,0,0,50,United-States,<=50K +39,Private,86643,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,27828,0,55,United-States,>50K +20,Private,200089,11th,7,Never-married,Farming-fishing,Other-relative,White,Male,0,0,36,El-Salvador,<=50K +26,Private,219199,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +36,Private,142711,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K +29,Private,626493,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,177125,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +28,State-gov,181776,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1876,70,United-States,<=50K +36,Private,257250,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +42,Private,444134,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +18,?,24688,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Local-gov,33731,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +27,Private,209443,Bachelors,13,Married-AF-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +39,Private,140854,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,60,United-States,>50K +50,Private,330142,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,44,United-States,<=50K +26,Private,29488,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +52,Private,279129,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +32,Private,177940,Assoc-acdm,12,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,48,United-States,<=50K +19,Private,391403,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +36,Private,334365,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +28,Private,171356,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,55,United-States,<=50K +45,Private,71145,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,45,United-States,>50K +25,Private,36943,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K +42,Private,285787,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,433580,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +55,Self-emp-not-inc,50197,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +59,State-gov,139611,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1977,40,India,>50K +31,Private,187802,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,241431,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,121775,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,136758,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,10,United-States,<=50K +22,Private,493034,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +20,Private,132139,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +50,Self-emp-not-inc,100109,11th,7,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,?,<=50K +23,Private,198861,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,1669,40,United-States,<=50K +19,Private,273226,11th,7,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,323054,HS-grad,9,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K +22,Private,284895,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +21,Private,191324,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +53,Private,92565,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +46,Private,234690,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Cuba,>50K +20,Private,258509,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K +42,State-gov,178897,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,1151,0,40,United-States,<=50K +65,Private,220788,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +55,Private,376548,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,228592,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,18,United-States,<=50K +33,Local-gov,177216,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +33,?,211743,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,21,United-States,<=50K +21,Private,23813,10th,6,Divorced,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +47,Private,195688,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +26,Private,124953,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,?,<=50K +34,Private,129775,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,339644,HS-grad,9,Married-spouse-absent,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +61,Private,149648,11th,7,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +79,Private,187492,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,7,United-States,<=50K +18,Private,336523,12th,8,Never-married,Other-service,Other-relative,Black,Male,0,0,20,United-States,<=50K +39,State-gov,222530,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Female,0,1590,40,United-States,<=50K +49,Self-emp-inc,140644,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,5013,0,45,United-States,<=50K +31,Private,265201,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Germany,<=50K +47,Private,135246,11th,7,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +36,Private,89202,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +25,Private,296394,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Male,0,0,45,United-States,<=50K +50,Local-gov,66544,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,65,United-States,<=50K +41,Self-emp-not-inc,165815,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,187722,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +38,Local-gov,187046,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +38,Private,397877,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +37,Private,258827,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +19,Private,119529,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +22,Private,97212,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K +19,Private,47235,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,75,United-States,<=50K +56,Private,359972,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,97212,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K +52,Local-gov,72036,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,25,United-States,<=50K +35,Private,174938,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,201404,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,56,United-States,<=50K +23,Private,234791,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K +33,State-gov,85632,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +17,Private,147411,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +36,Private,127388,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +21,Private,116657,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +19,?,194608,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K +28,Private,108706,11th,7,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,20,United-States,<=50K +19,Private,158343,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K +51,Private,914061,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +38,Private,190174,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K +19,Private,456736,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +46,Self-emp-inc,167882,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,8614,0,70,United-States,>50K +42,Self-emp-inc,557349,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +19,Private,310483,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +29,Private,78261,HS-grad,9,Separated,Protective-serv,Not-in-family,White,Male,0,0,55,United-States,<=50K +39,Private,172571,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +21,Private,230229,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K +30,Private,183017,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,230329,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +47,Private,46537,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,409622,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K +46,Private,190482,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,State-gov,113588,HS-grad,9,Never-married,Tech-support,Own-child,White,Female,0,0,24,United-States,<=50K +46,Self-emp-not-inc,246891,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,99,United-States,>50K +50,Private,193081,Preschool,1,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,Haiti,<=50K +50,?,284477,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,141420,HS-grad,9,Married-civ-spouse,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,197325,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,443336,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +37,Private,66304,9th,5,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,16,United-States,<=50K +25,Private,180783,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,10,United-States,<=50K +38,Local-gov,218763,Masters,14,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Federal-gov,388252,Bachelors,13,Never-married,Tech-support,Own-child,Black,Male,0,0,40,United-States,<=50K +22,Private,55614,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +25,Private,307643,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,45,United-States,>50K +18,?,33241,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +25,Local-gov,58065,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,<=50K +65,State-gov,172348,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +72,Private,138790,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,United-States,<=50K +25,State-gov,117393,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,38,United-States,<=50K +22,Private,227220,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,241306,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +27,Private,189565,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Self-emp-inc,182714,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,113839,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,92531,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +24,Private,119629,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,37,United-States,<=50K +26,Private,322585,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,277347,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,221955,5th-6th,3,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K +38,Private,149347,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +75,Private,207116,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,174077,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,32,United-States,<=50K +50,Private,22418,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Self-emp-not-inc,255252,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +74,Private,159138,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,12,United-States,<=50K +38,Private,414991,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +43,Private,282678,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +53,Federal-gov,164195,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,4386,0,40,United-States,>50K +21,Private,143436,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,202046,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Canada,<=50K +21,?,202214,Some-college,10,Never-married,?,Own-child,White,Female,0,1721,40,United-States,<=50K +55,Private,236731,1st-4th,2,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Dominican-Republic,<=50K +23,Local-gov,307267,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,10,United-States,<=50K +49,Private,144514,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,155913,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +17,Private,206383,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,17,United-States,<=50K +25,Private,233994,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +33,Self-emp-not-inc,123291,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +34,Self-emp-not-inc,195602,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +20,Private,151888,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +52,Private,103995,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +31,Private,263796,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,111499,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,202222,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,230246,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,37778,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K +17,Private,144752,10th,6,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,20,United-States,<=50K +27,Private,220931,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K +38,Federal-gov,68840,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,Private,205339,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,172837,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,52,United-States,>50K +41,State-gov,159131,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +30,Private,207284,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,350824,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +70,?,116080,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,>50K +39,Self-emp-not-inc,183081,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K +37,Self-emp-not-inc,177974,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,3942,0,99,United-States,<=50K +63,Private,192849,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,10,United-States,<=50K +18,Private,169882,11th,7,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,12,United-States,<=50K +21,Private,137320,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K +34,Private,251521,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +17,Private,329791,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +32,Private,261319,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +37,Local-gov,343052,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,53271,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Male,0,0,38,United-States,<=50K +20,Private,129024,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +29,Private,179768,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,144949,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +27,Private,150861,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +44,Local-gov,112763,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K +25,Private,116358,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +38,Self-emp-not-inc,331374,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K +52,Private,152811,10th,6,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +68,Local-gov,202699,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,6418,0,35,United-States,>50K +55,Private,92847,7th-8th,4,Widowed,Priv-house-serv,Unmarried,White,Female,0,0,30,United-States,<=50K +41,Private,137142,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +36,Private,953588,11th,7,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Local-gov,225544,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,<=50K +62,Private,116289,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +32,Private,279912,Some-college,10,Never-married,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K +57,Self-emp-not-inc,256630,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,60,Canada,>50K +42,Private,259727,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,25236,0,20,United-States,>50K +47,Private,331650,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +34,Private,182006,11th,7,Never-married,Adm-clerical,Not-in-family,White,Female,4416,0,30,United-States,<=50K +19,Private,277708,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +36,Private,64874,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,376455,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +57,Private,125000,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +43,Private,390369,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +51,Private,250423,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +48,Local-gov,27802,Masters,14,Separated,Prof-specialty,Not-in-family,White,Male,0,1876,50,United-States,<=50K +50,Private,137192,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,20,Philippines,<=50K +28,State-gov,200068,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Other,Female,0,0,40,United-States,<=50K +26,Private,220656,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K +35,Private,199501,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,50,Jamaica,<=50K +26,Private,181613,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,United-States,<=50K +32,Private,329432,Masters,14,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,139180,11th,7,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +24,?,263612,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +73,?,402363,Masters,14,Married-civ-spouse,?,Wife,White,Female,0,0,16,United-States,>50K +25,Private,256545,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K +31,Private,246439,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,38,United-States,<=50K +20,Private,182615,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,131401,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,259138,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,2407,0,36,United-States,<=50K +43,Private,107503,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K +61,State-gov,205482,HS-grad,9,Married-spouse-absent,Transport-moving,Not-in-family,White,Female,0,0,60,United-States,<=50K +34,Private,184833,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,4650,0,50,United-States,<=50K +43,Private,395997,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +33,Private,158438,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +42,Self-emp-inc,190044,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,52,United-States,>50K +42,Self-emp-not-inc,184378,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,118983,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,30,United-States,<=50K +48,Private,99127,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +41,Local-gov,106982,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,52,United-States,<=50K +47,Private,213668,Some-college,10,Separated,Machine-op-inspct,Not-in-family,White,Male,8614,0,65,United-States,>50K +50,Local-gov,159689,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +57,Private,354923,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +21,Private,200207,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +28,Local-gov,98590,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +42,Private,221947,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +33,Private,160634,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +53,Local-gov,179237,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,97771,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +17,Private,237399,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +35,Private,276559,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,45,United-States,>50K +50,Private,178251,Masters,14,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +58,Private,145370,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,15024,0,50,United-States,>50K +21,Private,249271,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +66,Self-emp-not-inc,257562,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +59,Federal-gov,115842,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,341368,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,20,United-States,<=50K +20,?,172232,Some-college,10,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K +25,Private,67151,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +21,Private,228649,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +53,Private,164198,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K +64,Local-gov,190228,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,>50K +19,Private,179707,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +59,Self-emp-inc,132559,Doctorate,16,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,55,United-States,>50K +36,Private,473547,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,30,United-States,<=50K +55,Self-emp-inc,284526,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Cuba,<=50K +20,Private,112854,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,32,United-States,<=50K +28,Private,271012,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +34,Private,298995,Some-college,10,Never-married,Tech-support,Not-in-family,Black,Female,0,0,50,United-States,<=50K +20,Never-worked,273905,HS-grad,9,Married-spouse-absent,?,Other-relative,White,Male,0,0,35,United-States,<=50K +41,Private,172712,Bachelors,13,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,>50K +33,Private,205249,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,55,?,<=50K +24,Private,375698,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Japan,<=50K +42,State-gov,355756,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,147951,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K +58,Private,156493,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,35,United-States,<=50K +34,Private,215857,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,Mexico,<=50K +22,Private,88824,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,242150,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +30,Private,295010,Some-college,10,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,>50K +67,Self-emp-not-inc,268781,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,>50K +46,Private,360593,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,4650,0,44,United-States,<=50K +35,Private,306678,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K +42,Self-emp-inc,377018,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,131230,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,?,457710,11th,7,Never-married,?,Own-child,White,Male,0,0,16,Mexico,<=50K +34,Self-emp-inc,229732,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +21,Private,159879,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +49,Private,204629,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +48,Private,46580,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,471768,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,32,United-States,<=50K +38,Private,117802,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K +28,Private,175537,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,37,United-States,<=50K +22,Private,247734,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,190885,7th-8th,4,Widowed,Other-service,Unmarried,White,Female,0,0,38,Mexico,<=50K +49,Private,117849,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +54,Self-emp-inc,103794,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,5721,0,35,United-States,<=50K +35,Self-emp-not-inc,222450,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +36,Private,558344,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,48,United-States,<=50K +18,Private,131825,11th,7,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,21,United-States,<=50K +45,Private,166181,HS-grad,9,Widowed,Priv-house-serv,Own-child,Black,Female,0,0,25,United-States,<=50K +22,Private,179392,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +47,Local-gov,232149,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K +23,Private,96748,Bachelors,13,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,177895,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,207066,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +53,Private,127749,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +23,Private,216129,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +67,?,401273,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,5,United-States,<=50K +51,Private,245356,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,55,United-States,>50K +52,Private,30846,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,216414,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,361390,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4064,0,40,Italy,<=50K +29,Private,255364,Some-college,10,Divorced,Other-service,Own-child,White,Male,594,0,24,United-States,<=50K +19,Private,197377,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K +66,Self-emp-not-inc,197816,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,17,United-States,>50K +38,Private,194140,Some-college,10,Separated,Machine-op-inspct,Unmarried,Black,Male,0,0,50,United-States,<=50K +67,?,110122,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,>50K +33,Private,102130,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +51,Federal-gov,85815,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +30,Private,176064,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,55,United-States,<=50K +43,Private,38946,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +29,Private,249463,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,175665,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +58,Private,111385,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,State-gov,165867,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +41,Private,347890,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Self-emp-inc,49249,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +50,Private,125417,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,65,United-States,>50K +73,Self-emp-not-inc,30958,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K +45,State-gov,191001,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,40,United-States,>50K +18,Self-emp-not-inc,68073,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +33,Private,233149,12th,8,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,204596,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +37,Private,109996,9th,5,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,40,Hong,<=50K +29,Private,251170,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,140001,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +61,State-gov,347445,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +27,Self-emp-not-inc,229126,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,30,United-States,<=50K +47,Private,235431,Preschool,1,Never-married,Sales,Unmarried,Black,Female,0,0,40,Haiti,<=50K +56,Private,209280,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,16,United-States,<=50K +26,Private,172013,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +30,Self-emp-inc,133876,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +60,Private,152727,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K +30,Private,139838,10th,6,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +28,Private,153885,Some-college,10,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,45,United-States,<=50K +64,Self-emp-not-inc,21174,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +32,Private,101266,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K +32,Private,99548,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +31,Local-gov,220669,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,6849,0,40,United-States,<=50K +36,Private,91716,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +32,Self-emp-not-inc,112115,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,>50K +49,Private,220978,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +40,Private,121012,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,242804,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,192654,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K +45,Private,111706,1st-4th,2,Never-married,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +41,Private,174196,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +54,Private,312500,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,39623,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +36,Private,355468,10th,6,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,State-gov,62726,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Federal-gov,75867,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +60,?,76449,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,111567,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +58,Private,112945,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,191389,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,208584,Assoc-acdm,12,Separated,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K +49,Private,99340,5th-6th,3,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,Dominican-Republic,<=50K +54,Self-emp-not-inc,308087,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +64,Private,166843,HS-grad,9,Widowed,Other-service,Other-relative,White,Male,0,0,28,United-States,<=50K +62,?,122433,10th,6,Divorced,?,Unmarried,White,Male,0,0,35,United-States,<=50K +31,Private,103573,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K +28,Private,264735,Masters,14,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,50,India,<=50K +58,Self-emp-not-inc,281792,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +52,Private,184081,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,Jamaica,<=50K +22,Private,381741,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,98630,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +25,Private,161631,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,152591,Some-college,10,Divorced,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +69,Self-emp-not-inc,150080,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,278141,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K +48,Self-emp-not-inc,229328,12th,8,Widowed,Sales,Unmarried,Asian-Pac-Islander,Female,0,0,40,South,<=50K +26,Private,278916,Some-college,10,Separated,Handlers-cleaners,Own-child,Black,Male,0,0,20,United-States,<=50K +43,Federal-gov,421871,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Male,6849,0,50,United-States,<=50K +35,Private,164193,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,189265,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,5,United-States,<=50K +52,Private,384959,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,36,United-States,>50K +62,Private,67320,HS-grad,9,Widowed,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K +50,Private,174655,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K +30,Local-gov,327203,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,51148,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +19,Private,287380,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,27,United-States,<=50K +58,Private,131608,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +41,Private,122857,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,Asian-Pac-Islander,Female,0,0,40,?,<=50K +28,Private,259609,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +33,Private,104509,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Private,203435,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,148429,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +26,Private,106950,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +19,Private,87402,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,265638,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,60,United-States,<=50K +27,Private,430710,HS-grad,9,Separated,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +50,Federal-gov,193116,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +29,Private,94880,Some-college,10,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K +67,Private,186427,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +53,Private,348287,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +58,Private,77498,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +47,Private,199058,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +30,Private,156464,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,Germany,<=50K +40,Private,202508,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,48,?,>50K +45,Private,131309,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,32,United-States,<=50K +41,Private,99679,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,136309,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K +27,Private,294451,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,104719,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K +72,Self-emp-not-inc,207889,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,215890,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,341239,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K +66,Self-emp-not-inc,58326,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,>50K +35,Private,176544,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,1741,50,United-States,<=50K +37,Private,216149,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +65,Private,274637,9th,5,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,16,United-States,<=50K +23,Private,163870,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,?,<=50K +52,?,287575,HS-grad,9,Separated,?,Unmarried,White,Male,0,0,40,United-States,<=50K +35,Private,268292,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K +43,Private,343061,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Cuba,<=50K +46,Local-gov,481258,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +17,Private,181129,10th,6,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K +18,?,153302,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,235891,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K +33,Self-emp-not-inc,41210,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,75,United-States,<=50K +31,Local-gov,152109,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,United-States,<=50K +28,Private,114072,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +30,Private,83066,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,30,United-States,<=50K +18,Private,110230,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,5,United-States,<=50K +33,Self-emp-inc,137421,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,45,South,<=50K +46,Self-emp-inc,222829,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +50,State-gov,89652,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,<=50K +43,Self-emp-inc,375807,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,60,United-States,>50K +29,Private,184224,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,54639,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +47,Self-emp-inc,77764,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +28,Private,61523,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K +60,Self-emp-not-inc,54614,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +34,Private,188246,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,?,<=50K +25,Private,267594,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +19,Private,140499,HS-grad,9,Never-married,Protective-serv,Other-relative,White,Male,0,0,40,United-States,<=50K +35,Private,73471,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +41,Federal-gov,33487,Some-college,10,Divorced,Adm-clerical,Other-relative,Amer-Indian-Eskimo,Female,0,0,38,United-States,<=50K +23,?,201179,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +69,Self-emp-not-inc,165814,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +44,State-gov,46221,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +49,Self-emp-inc,172246,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,40,United-States,>50K +31,Federal-gov,148207,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,53,United-States,<=50K +36,Private,389725,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,Germany,>50K +33,Private,343519,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +35,Private,67317,Assoc-acdm,12,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K +53,Self-emp-not-inc,257728,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +32,Private,264554,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +26,Private,224567,11th,7,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +40,Private,24038,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +35,Private,210945,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +52,Self-emp-not-inc,123727,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +32,?,78374,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,1,United-States,<=50K +18,Private,138266,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +58,Private,147098,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K +26,Private,211695,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,196480,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +39,Private,373699,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,189680,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,342458,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,161155,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,48,United-States,<=50K +48,Local-gov,116601,Masters,14,Divorced,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,50,Nicaragua,<=50K +67,Self-emp-inc,127605,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2174,40,United-States,>50K +22,Self-emp-not-inc,47541,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +62,Private,134779,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,4650,0,40,United-States,<=50K +42,Self-emp-not-inc,177937,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +53,Private,114758,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K +64,Local-gov,287277,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,173113,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,169785,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,>50K +64,Self-emp-not-inc,280508,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,360077,11th,7,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,>50K +47,Private,165229,12th,8,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,282753,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +31,Private,308812,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +64,Private,132519,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,Black,Female,0,0,40,United-States,<=50K +38,Private,185053,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K +42,Local-gov,261899,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +46,Private,119939,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,276165,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,361280,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +33,Private,195770,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +52,Local-gov,289804,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K +21,Private,247115,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,60,United-States,<=50K +48,Federal-gov,50459,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +22,Private,260617,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K +20,Private,155066,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,60,United-States,<=50K +80,Private,227210,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,9386,0,40,United-States,>50K +47,Local-gov,47270,Assoc-acdm,12,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +35,Private,111128,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,65,United-States,>50K +37,Private,119929,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +73,Private,157248,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +45,Private,174386,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,30,United-States,<=50K +34,Private,21755,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Amer-Indian-Eskimo,Male,0,0,63,United-States,<=50K +35,Private,261646,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,590204,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,40,United-States,>50K +36,Private,679853,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Dominican-Republic,<=50K +40,Private,144928,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,7298,0,40,United-States,>50K +26,?,88513,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,110663,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +52,Self-emp-not-inc,182187,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,Haiti,>50K +45,Private,160703,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K +39,Private,279323,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,131425,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,180288,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1977,60,United-States,>50K +43,Self-emp-inc,123490,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +20,Private,421474,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +38,Private,100079,Doctorate,16,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,27828,0,60,China,>50K +30,Private,95639,11th,7,Never-married,Handlers-cleaners,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +30,Private,169002,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +59,Self-emp-not-inc,49893,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,24,United-States,<=50K +30,Federal-gov,234994,Some-college,10,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +43,Self-emp-inc,137232,Bachelors,13,Married-spouse-absent,Sales,Unmarried,White,Female,0,0,42,United-States,<=50K +49,Self-emp-not-inc,27067,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +40,Private,193385,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,China,<=50K +34,Private,181372,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,23,United-States,<=50K +47,Private,189143,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Self-emp-not-inc,115422,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,40,United-States,<=50K +64,Self-emp-not-inc,163510,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,50,United-States,>50K +35,Private,241998,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K +39,Private,106838,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,4386,0,45,United-States,>50K +90,?,50746,10th,6,Divorced,?,Not-in-family,White,Female,0,0,7,United-States,<=50K +30,Local-gov,325658,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +71,Private,244688,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,6514,0,40,United-States,>50K +29,Private,244721,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,170721,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +39,Private,105803,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,152810,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +50,Private,138944,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +50,Private,392668,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,40,United-States,<=50K +28,Private,192257,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Japan,<=50K +79,?,23275,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +70,Self-emp-inc,46577,Bachelors,13,Widowed,Farming-fishing,Unmarried,White,Female,0,0,6,United-States,<=50K +44,Private,174325,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +41,Local-gov,307767,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,192698,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,443809,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K +18,Private,218100,11th,7,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +37,Private,516701,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Male,0,1564,50,?,>50K +20,Private,123173,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,15,United-States,<=50K +33,Private,241697,Some-college,10,Married-spouse-absent,Sales,Unmarried,Amer-Indian-Eskimo,Male,0,1602,40,United-States,<=50K +53,Self-emp-inc,233149,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +56,Private,357939,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,73928,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K +54,State-gov,88528,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,37,United-States,<=50K +40,Private,245073,7th-8th,4,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K +45,Private,148824,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +27,Private,106276,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +48,Private,185039,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,210310,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +27,Private,150767,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,48,United-States,<=50K +72,?,31327,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,>50K +27,Private,30237,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,45,United-States,<=50K +22,Private,264765,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,10,United-States,<=50K +29,Private,148069,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,?,41493,Bachelors,13,Divorced,?,Own-child,White,Female,0,0,40,United-States,<=50K +51,Self-emp-not-inc,168539,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K +54,?,108233,Assoc-acdm,12,Separated,?,Not-in-family,Black,Female,0,0,20,United-States,<=50K +25,State-gov,66692,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,122747,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +36,Self-emp-inc,176289,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,Private,238017,HS-grad,9,Widowed,Tech-support,Not-in-family,Black,Female,0,0,54,United-States,<=50K +28,Private,41099,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,190151,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K +58,Private,109159,HS-grad,9,Widowed,Tech-support,Unmarried,White,Female,0,0,38,United-States,<=50K +37,Local-gov,176949,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,United-States,>50K +61,Private,293899,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +48,Private,168262,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,>50K +64,Private,208862,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,15,United-States,<=50K +50,Private,69477,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +34,Private,443546,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,Germany,<=50K +21,?,202989,Some-college,10,Never-married,?,Own-child,White,Male,0,0,80,United-States,<=50K +59,Self-emp-not-inc,49996,HS-grad,9,Widowed,Other-service,Not-in-family,Black,Female,0,0,20,United-States,<=50K +75,State-gov,220618,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,10,United-States,<=50K +30,Private,127875,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +26,Private,217517,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,2885,0,40,United-States,<=50K +20,Private,162151,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K +53,Federal-gov,314871,Some-college,10,Separated,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +48,Local-gov,193960,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +33,Private,198103,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +47,State-gov,106466,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +51,Private,122109,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +54,Private,254152,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,249449,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +47,Private,184169,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +34,Self-emp-inc,156192,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +31,Self-emp-not-inc,175509,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Male,0,0,60,United-States,<=50K +42,Private,297266,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,90,United-States,>50K +24,Private,188073,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +18,?,221312,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K +79,Private,121552,7th-8th,4,Widowed,Other-service,Unmarried,Black,Male,0,0,5,United-States,<=50K +38,Private,177134,HS-grad,9,Married-civ-spouse,Sales,Wife,Black,Female,0,0,40,United-States,<=50K +67,Private,127921,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,9386,0,40,United-States,>50K +25,Private,210794,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +47,Private,149366,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Peru,<=50K +25,Private,214303,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,?,<=50K +24,?,205940,9th,5,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +24,?,43535,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,30,United-States,<=50K +47,Private,158924,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +46,Private,270437,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Private,266505,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,5013,0,38,United-States,<=50K +32,Private,37070,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Japan,<=50K +26,Federal-gov,56419,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,20,South,<=50K +52,Private,389270,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,36,United-States,<=50K +61,Private,205266,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +46,Federal-gov,104575,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Self-emp-not-inc,99220,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,178313,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +41,Local-gov,103614,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +47,Private,114882,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,186977,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Columbia,<=50K +22,Private,208893,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,10,United-States,<=50K +57,Self-emp-inc,84231,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,1977,50,United-States,>50K +20,Private,129240,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +64,Private,113061,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,243409,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +18,?,28132,12th,8,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +40,Private,77975,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,?,241580,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,55,United-States,<=50K +40,Private,165599,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K +31,Private,85374,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,42,United-States,<=50K +32,Self-emp-not-inc,45604,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +42,Private,109501,5th-6th,3,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +22,?,289405,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,75759,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,3325,0,40,United-States,<=50K +27,Private,144808,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +21,?,231511,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +47,Private,155890,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +56,Self-emp-not-inc,108496,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,101562,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +29,Private,116372,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,>50K +17,Private,58037,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,339025,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,1579,40,Vietnam,<=50K +31,Private,117659,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +23,Private,372898,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +24,Private,199426,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +25,Private,36023,HS-grad,9,Married-spouse-absent,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K +64,?,186535,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,3103,0,3,United-States,<=50K +44,Private,57600,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,38,United-States,<=50K +48,Private,369522,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +35,Private,28572,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,215323,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,81846,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K +68,Private,535762,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1844,10,United-States,<=50K +59,Private,239405,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,35,Jamaica,<=50K +43,Local-gov,43998,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K +28,Private,408417,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K +50,Self-emp-not-inc,43705,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +45,Private,176841,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,El-Salvador,<=50K +17,Private,120676,11th,7,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K +44,Local-gov,207685,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,8614,0,33,United-States,>50K +26,Private,157708,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,126349,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,49,United-States,<=50K +40,Private,277647,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,>50K +45,Private,174426,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,<=50K +43,Self-emp-not-inc,37869,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K +28,Private,150025,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Peru,<=50K +54,Self-emp-not-inc,155496,Some-college,10,Never-married,Other-service,Unmarried,White,Female,2176,0,40,United-States,<=50K +43,Private,174748,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,7430,0,45,United-States,>50K +40,Self-emp-inc,140915,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Other,Male,0,0,40,France,>50K +19,Private,187161,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,18,United-States,<=50K +24,Private,181820,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,45,United-States,<=50K +20,Private,438321,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K +55,Private,342121,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,54,United-States,<=50K +39,Private,135162,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +22,Private,289448,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,2205,30,Philippines,<=50K +44,Self-emp-not-inc,157237,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +30,Private,184542,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +74,Private,70234,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,26,United-States,<=50K +30,Private,170412,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,171184,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,Dominican-Republic,<=50K +56,?,141076,HS-grad,9,Divorced,?,Not-in-family,Black,Female,3674,0,40,United-States,<=50K +59,Private,168145,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,172594,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +21,Private,133582,5th-6th,3,Never-married,Farming-fishing,Not-in-family,White,Male,2176,0,36,Mexico,<=50K +51,Private,214840,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +20,?,301408,Some-college,10,Never-married,?,Own-child,White,Female,0,1602,30,United-States,<=50K +33,Private,97723,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,40,United-States,<=50K +51,Self-emp-not-inc,318351,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,Canada,>50K +20,Private,69911,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +59,Private,200316,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Local-gov,265426,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K +39,Private,66687,Some-college,10,Separated,Craft-repair,Unmarried,White,Male,0,0,45,United-States,<=50K +31,Private,107417,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,?,140782,HS-grad,9,Separated,?,Own-child,White,Female,0,0,36,United-States,<=50K +23,?,212210,Some-college,10,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K +57,Private,144012,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +67,?,40021,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,228493,1st-4th,2,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,65,Mexico,<=50K +40,State-gov,114714,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K +17,Private,188758,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +34,Private,176862,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Local-gov,107793,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +47,Self-emp-not-inc,333052,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,5,United-States,<=50K +49,Private,175958,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,46,United-States,>50K +24,Private,125012,Bachelors,13,Married-spouse-absent,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K +28,Private,135296,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Local-gov,31171,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,1590,40,United-States,<=50K +31,Private,103860,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +40,Private,90582,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,216292,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +54,Local-gov,188588,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,2001,35,United-States,<=50K +27,?,173178,Some-college,10,Never-married,?,Not-in-family,Black,Male,0,0,36,United-States,<=50K +50,Self-emp-inc,193720,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,48,United-States,<=50K +35,Private,218542,9th,5,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +44,Private,138845,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +46,State-gov,86837,Some-college,10,Married-spouse-absent,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,50,Philippines,<=50K +22,State-gov,125010,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K +38,Private,50149,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +46,Private,241350,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,8614,0,50,United-States,>50K +81,Private,39895,7th-8th,4,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,2,United-States,<=50K +36,Self-emp-not-inc,258289,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +28,Self-emp-not-inc,183151,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +58,?,228614,7th-8th,4,Married-civ-spouse,?,Husband,Black,Male,0,0,35,United-States,<=50K +51,Private,192236,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3464,0,48,United-States,<=50K +37,?,161664,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,60,United-States,<=50K +45,Private,105381,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,235786,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,118947,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,>50K +35,Private,168817,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,24361,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,321223,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +66,Private,146810,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,24,United-States,<=50K +30,Local-gov,94041,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,3325,0,35,United-States,<=50K +40,Self-emp-not-inc,814850,9th,5,Divorced,Other-service,Not-in-family,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K +43,Private,331649,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +43,Private,209894,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K +44,Private,229954,Assoc-acdm,12,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +48,Private,287547,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,184018,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +25,Private,332409,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +33,Local-gov,113364,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +28,State-gov,134813,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,65,United-States,>50K +24,Private,273049,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K +29,Private,334277,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +51,State-gov,196395,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,60,United-States,>50K +47,Private,138069,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,358259,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +36,Private,362067,Assoc-voc,11,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +54,Private,209947,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,42,United-States,<=50K +23,Private,122244,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,116546,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,213934,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,42,United-States,<=50K +27,Local-gov,24988,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,1564,72,United-States,>50K +53,Private,157229,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,0,40,India,<=50K +30,Private,162442,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K +67,Federal-gov,231604,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K +24,Private,187031,Masters,14,Never-married,Sales,Unmarried,Black,Female,0,0,38,United-States,<=50K +33,Private,172714,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Self-emp-not-inc,198286,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Self-emp-not-inc,220001,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,262656,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,32,United-States,<=50K +27,Private,203776,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,193815,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +57,Local-gov,173242,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +43,Private,108126,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,1762,24,United-States,<=50K +62,Private,199021,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,54,United-States,<=50K +53,Private,92968,Assoc-acdm,12,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,173682,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Local-gov,277533,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +22,Private,90896,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +57,Self-emp-inc,212600,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K +52,Private,261671,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +66,Private,86321,HS-grad,9,Widowed,Transport-moving,Not-in-family,White,Male,0,0,22,United-States,<=50K +37,Self-emp-not-inc,119992,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K +33,Private,427812,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +34,Private,55849,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K +23,Private,271354,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,50,United-States,>50K +36,Private,131239,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +50,State-gov,139157,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K +39,State-gov,305541,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,55,United-States,<=50K +50,Private,151159,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,55,United-States,<=50K +23,Private,84726,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,45,Germany,<=50K +47,?,175530,5th-6th,3,Separated,?,Own-child,White,Female,0,0,56,Mexico,<=50K +39,Local-gov,364782,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +43,Private,137304,Bachelors,13,Married-civ-spouse,Tech-support,Wife,Black,Female,0,0,40,United-States,>50K +23,Private,197613,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Self-emp-inc,171615,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +57,Self-emp-not-inc,105824,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K +47,Local-gov,250745,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K +28,Private,352451,7th-8th,4,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +17,Private,123947,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K +43,Private,178983,Masters,14,Separated,Sales,Unmarried,White,Female,6497,0,50,United-States,<=50K +47,Private,101299,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +53,Self-emp-inc,124993,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +26,Private,178478,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +46,Private,67001,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +20,Private,97295,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +48,Local-gov,169515,Bachelors,13,Divorced,Protective-serv,Not-in-family,Black,Female,0,0,43,United-States,>50K +49,Private,121253,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,1564,40,United-States,>50K +52,Federal-gov,35546,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,111635,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,207419,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +31,Private,143083,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +42,Self-emp-not-inc,248094,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +41,Private,170685,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,46,United-States,<=50K +46,Private,116143,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,223426,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,65,Canada,>50K +23,Private,370548,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,27,United-States,<=50K +43,Private,245525,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,<=50K +41,Private,408229,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,15,United-States,<=50K +29,Local-gov,181434,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +27,Private,213225,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7298,0,45,England,>50K +24,Private,199915,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +44,Local-gov,143104,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,38,United-States,>50K +31,Private,874728,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,40,United-States,<=50K +43,Private,27661,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Local-gov,216116,HS-grad,9,Divorced,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,>50K +43,Private,193882,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +50,Self-emp-not-inc,98180,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,99999,0,45,United-States,>50K +70,Self-emp-not-inc,92353,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +78,Self-emp-not-inc,184762,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,3471,0,50,United-States,<=50K +21,?,148294,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,128777,Some-college,10,Never-married,Sales,Other-relative,Black,Female,0,0,40,United-States,<=50K +73,Private,108098,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K +47,Private,233511,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,223792,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +61,Private,43904,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +45,Private,239864,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,159075,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,103474,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +21,Private,90896,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +46,Private,145290,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +23,Private,155818,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +28,Self-emp-not-inc,35864,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Other,Male,0,0,70,Iran,>50K +18,Private,394954,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,State-gov,34637,9th,5,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2002,40,United-States,<=50K +34,Private,38223,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,352105,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +53,Private,291096,1st-4th,2,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +63,Self-emp-not-inc,144391,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K +62,Private,44013,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,134890,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +39,Self-emp-not-inc,497525,10th,6,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +28,Private,195520,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K +44,Self-emp-not-inc,35166,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,75,United-States,<=50K +26,Private,180514,Bachelors,13,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +32,Private,262153,11th,7,Married-spouse-absent,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +39,Local-gov,91039,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +70,?,30140,9th,5,Never-married,?,Unmarried,White,Male,0,0,40,United-States,<=50K +27,Private,125791,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Female,0,0,15,United-States,<=50K +31,Private,337505,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K +61,Private,258775,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,4386,0,40,United-States,>50K +32,Private,153152,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,2051,38,United-States,<=50K +21,?,120998,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +24,Self-emp-not-inc,434102,11th,7,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,3,United-States,<=50K +39,Private,342768,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +29,Private,160786,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,46,United-States,<=50K +52,Private,279440,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K +26,Self-emp-not-inc,67240,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,35,United-States,<=50K +30,Private,196963,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Female,0,0,15,United-States,<=50K +70,Private,115239,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,United-States,<=50K +29,Private,133937,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +32,Private,31714,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,4865,0,40,United-States,<=50K +32,Private,347623,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,174848,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +75,Self-emp-not-inc,106873,11th,7,Widowed,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,49687,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,1980,40,United-States,<=50K +39,Private,256294,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +66,State-gov,33155,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +46,Private,131939,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Local-gov,95256,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,42,United-States,>50K +32,Private,198901,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,177287,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +44,Private,144925,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,3325,0,40,United-States,<=50K +42,Private,188243,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +34,Self-emp-not-inc,198068,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,116960,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +22,Private,172496,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Poland,<=50K +21,?,399449,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +33,Private,251990,HS-grad,9,Separated,Adm-clerical,Not-in-family,Other,Male,0,0,37,United-States,<=50K +54,Federal-gov,28683,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,4386,0,41,United-States,>50K +36,Private,109133,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +36,Private,24504,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,201495,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +49,Private,187634,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,>50K +40,Private,77391,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,36601,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,>50K +31,Self-emp-not-inc,197193,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,27,United-States,<=50K +81,Self-emp-not-inc,184762,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,25,Greece,<=50K +40,Private,200671,HS-grad,9,Divorced,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K +47,Private,186539,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,10,United-States,<=50K +39,Private,199816,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +42,Private,171351,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,119793,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,>50K +40,Local-gov,38876,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K +28,Private,145242,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,4386,0,20,United-States,>50K +19,?,292774,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +32,State-gov,217251,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,<=50K +35,Private,195253,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +35,?,139854,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K +52,State-gov,145072,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,108085,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K +23,Private,72055,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +76,Private,82628,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K +41,Self-emp-not-inc,49156,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +46,Private,187666,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,<=50K +49,Self-emp-not-inc,225456,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +60,Federal-gov,286253,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +65,?,168548,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,190384,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K +46,Federal-gov,362835,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Germany,>50K +50,Private,243322,HS-grad,9,Married-spouse-absent,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +39,Private,49105,Assoc-voc,11,Separated,Adm-clerical,Own-child,White,Female,594,0,40,United-States,<=50K +20,Private,72520,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +38,Private,200352,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +56,Private,146660,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,10,United-States,<=50K +30,Self-emp-not-inc,247328,Assoc-voc,11,Separated,Sales,Not-in-family,White,Male,0,0,40,Mexico,<=50K +41,Private,304605,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,>50K +29,Private,309778,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,248476,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K +28,Private,129624,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,Cambodia,<=50K +30,Private,97723,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K +19,Private,143404,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,United-States,<=50K +56,Private,127264,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,34,United-States,<=50K +28,Private,179191,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +23,Private,230824,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +34,Private,410615,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +43,Private,224998,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1977,40,United-States,>50K +60,Self-emp-not-inc,54553,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +43,Local-gov,225165,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +60,Self-emp-inc,75257,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,<=50K +42,Private,33155,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,85,United-States,<=50K +32,Local-gov,450141,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,1408,40,United-States,<=50K +31,Private,441949,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,Mexico,>50K +25,Private,131341,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,36,Cuba,<=50K +25,Private,227548,12th,8,Married-civ-spouse,Other-service,Husband,Black,Male,3103,0,40,United-States,<=50K +41,Self-emp-inc,38876,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1977,50,United-States,>50K +26,Private,143756,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Local-gov,308275,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,7688,0,65,United-States,>50K +35,Private,173586,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +21,Private,196074,9th,5,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K +39,Federal-gov,178877,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +22,Private,285580,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K +66,Self-emp-not-inc,219220,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,2290,0,40,Germany,<=50K +32,Federal-gov,228696,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,Mexico,<=50K +39,Private,185405,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-inc,240124,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +26,?,96130,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,England,<=50K +31,Private,329172,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,147280,11th,7,Never-married,Other-service,Own-child,Other,Male,0,0,40,United-States,<=50K +34,Private,197252,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +43,State-gov,118544,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +56,Private,183169,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +34,Private,205810,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,Black,Female,0,1672,40,United-States,<=50K +23,Private,132556,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,438429,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,104293,Assoc-acdm,12,Never-married,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,506830,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +42,Private,56072,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +51,Local-gov,164300,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K +34,Private,274577,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +60,Self-emp-not-inc,36568,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K +41,Private,223548,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,Mexico,<=50K +27,Local-gov,478277,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K +46,Private,254672,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,2354,0,40,United-States,<=50K +22,Private,171538,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +17,?,220302,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,87135,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +46,Self-emp-not-inc,138626,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +40,Private,179069,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +24,Private,88824,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Self-emp-not-inc,159623,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K +67,?,350525,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,>50K +53,Self-emp-not-inc,276369,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K +25,Private,96862,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,65,United-States,<=50K +18,Private,245486,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +64,Local-gov,209899,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,35,United-States,<=50K +45,Private,306122,Bachelors,13,Never-married,Other-service,Not-in-family,Black,Female,0,0,44,United-States,>50K +32,Private,240763,11th,7,Divorced,Transport-moving,Own-child,Black,Male,0,0,45,United-States,<=50K +30,Private,323069,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +35,Private,179579,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +46,?,162034,Some-college,10,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,291181,HS-grad,9,Never-married,Sales,Other-relative,White,Female,0,0,28,Mexico,<=50K +31,Private,356823,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,10520,0,40,United-States,>50K +39,Private,312271,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +33,Private,182714,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,184569,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,45,United-States,<=50K +55,Private,129762,HS-grad,9,Divorced,Other-service,Other-relative,White,Female,0,0,40,Scotland,<=50K +23,Private,216867,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,155489,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K +42,Private,256179,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,48,United-States,>50K +65,Private,51063,10th,6,Divorced,Other-service,Not-in-family,Black,Male,0,0,64,United-States,<=50K +37,State-gov,164898,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +28,Private,202206,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,Puerto-Rico,<=50K +48,Private,115358,7th-8th,4,Married-civ-spouse,Priv-house-serv,Wife,Black,Female,0,0,15,United-States,<=50K +43,Local-gov,343068,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,65,United-States,<=50K +44,Private,152908,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +58,Local-gov,217802,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,7688,0,45,United-States,>50K +70,Self-emp-not-inc,380498,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +28,Local-gov,257124,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K +46,Local-gov,313635,Prof-school,15,Separated,Prof-specialty,Not-in-family,Black,Male,4650,0,40,United-States,<=50K +33,Private,168906,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,55,United-States,<=50K +35,Local-gov,99146,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K +18,Private,190325,11th,7,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,272715,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +29,Private,118598,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +59,Private,97213,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +29,Private,39388,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,190916,11th,7,Divorced,Sales,Other-relative,White,Female,0,0,25,United-States,<=50K +34,Private,61308,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +30,Private,27856,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +54,State-gov,151580,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +38,Private,248011,11th,7,Divorced,Transport-moving,Unmarried,White,Male,0,0,55,United-States,<=50K +44,Private,188615,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +30,Private,62932,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K +28,Private,32510,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,15,United-States,<=50K +60,?,155977,Some-college,10,Widowed,?,Unmarried,Black,Female,0,0,54,United-States,<=50K +57,Federal-gov,250873,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,257942,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,<=50K +43,Private,334141,7th-8th,4,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +22,?,144210,11th,7,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K +34,Private,87535,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,222011,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +44,Private,33895,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,168997,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +50,Local-gov,163576,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +72,Private,98035,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +20,?,41356,Assoc-voc,11,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,245361,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,109133,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,?,<=50K +62,?,111563,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,21,United-States,<=50K +75,Self-emp-not-inc,124256,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2149,35,United-States,<=50K +21,?,227521,Some-college,10,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K +60,Self-emp-not-inc,197060,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +18,Private,332125,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,2176,0,25,United-States,<=50K +19,Private,348867,HS-grad,9,Never-married,Sales,Other-relative,Black,Female,0,0,15,United-States,<=50K +31,Self-emp-inc,118584,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,110622,Bachelors,13,Divorced,Sales,Unmarried,Asian-Pac-Islander,Female,0,0,8,South,<=50K +24,Private,43535,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K +62,Private,84784,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,1741,40,United-States,<=50K +25,Private,266600,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,3137,0,40,United-States,<=50K +28,Private,106935,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +56,Private,265518,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +38,Private,289653,Assoc-voc,11,Widowed,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,340917,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,60,?,>50K +41,Private,56651,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,374833,1st-4th,2,Married-spouse-absent,Farming-fishing,Unmarried,White,Male,0,0,40,Mexico,<=50K +38,Private,210198,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +44,Private,240448,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,20,United-States,<=50K +20,Private,206869,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +72,Self-emp-inc,149689,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,48,United-States,>50K +72,Private,75594,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2653,0,40,United-States,<=50K +37,Private,110331,Prof-school,15,Married-civ-spouse,Other-service,Wife,White,Female,0,0,60,United-States,>50K +54,Private,353787,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +48,Private,142909,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,54102,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +36,Self-emp-inc,339116,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,?,<=50K +60,?,50783,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,415500,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +41,Private,79586,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,60,China,>50K +52,Private,142757,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,56,United-States,>50K +37,Private,91716,HS-grad,9,Divorced,Sales,Unmarried,White,Male,0,0,75,United-States,<=50K +22,Private,376393,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K +59,Private,129762,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,Scotland,<=50K +34,Private,293017,Some-college,10,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +42,Self-emp-not-inc,54583,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,30,United-States,<=50K +21,Private,54472,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,?,129767,Assoc-acdm,12,Never-married,?,Own-child,White,Female,0,0,5,United-States,<=50K +40,Private,109217,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Mexico,<=50K +32,Private,189265,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,221680,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,200947,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,35,Italy,<=50K +21,Private,402136,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K +30,Private,119411,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,?,<=50K +47,Self-emp-not-inc,136258,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +53,Private,35459,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,>50K +31,Private,157640,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,55,United-States,>50K +39,Private,181384,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,20,United-States,<=50K +50,Private,81253,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,30,United-States,<=50K +21,Private,152668,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +17,?,387063,10th,6,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +73,?,132256,Bachelors,13,Widowed,?,Unmarried,White,Female,0,0,7,United-States,<=50K +39,Private,106964,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,1977,55,United-States,>50K +21,?,214238,HS-grad,9,Married-spouse-absent,?,Own-child,White,Female,0,0,40,United-States,<=50K +20,Private,218068,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,23,United-States,<=50K +33,Private,162572,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +74,Self-emp-not-inc,160009,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,>50K +25,Private,164488,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,?,209794,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,3,United-States,>50K +31,Private,119033,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K +27,Private,311446,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,Germany,<=50K +31,Private,128065,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,>50K +48,Private,101016,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +73,Private,33493,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,3,United-States,<=50K +34,Private,130078,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,32,?,>50K +30,Private,284826,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +53,Self-emp-not-inc,169112,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Hungary,>50K +37,Federal-gov,362006,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +19,Private,124906,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,1719,25,United-States,<=50K +53,Private,229247,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,5013,0,45,United-States,<=50K +59,Self-emp-inc,170993,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,13550,0,40,United-States,>50K +39,Private,157641,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,224632,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,38,United-States,<=50K +26,Private,159732,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,2205,43,United-States,<=50K +56,Self-emp-not-inc,221801,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +90,Private,347074,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,1944,12,United-States,<=50K +35,Private,143059,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,0,1902,28,United-States,>50K +23,Private,37072,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,137815,9th,5,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Federal-gov,594194,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +41,Private,284716,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,15,United-States,<=50K +39,Private,202662,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Local-gov,191754,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +31,Private,175985,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +69,Private,108196,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,25,?,<=50K +37,Private,51198,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +26,Self-emp-inc,384276,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +46,Self-emp-not-inc,368355,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +20,Private,221661,10th,6,Never-married,Sales,Not-in-family,White,Female,0,0,30,Mexico,<=50K +51,Private,108435,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +63,?,176827,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K +42,Private,209547,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5178,0,40,United-States,>50K +29,Private,197565,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,1902,35,United-States,>50K +62,Private,180418,12th,8,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,45880,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +52,Local-gov,203953,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Puerto-Rico,>50K +64,Self-emp-not-inc,178748,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +28,Private,203171,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Male,0,0,55,United-States,<=50K +71,Private,132057,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,9386,0,50,United-States,>50K +33,Local-gov,40142,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,<=50K +36,Private,224541,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,El-Salvador,<=50K +67,Self-emp-not-inc,221252,Masters,14,Divorced,Sales,Not-in-family,Other,Male,0,0,40,United-States,<=50K +26,Private,133766,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K +41,Private,244945,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +35,Private,171393,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +63,Self-emp-not-inc,326903,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K +27,Private,91257,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,El-Salvador,<=50K +41,Private,118001,11th,7,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +30,Private,168906,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,44,United-States,<=50K +27,Private,267912,10th,6,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,Mexico,<=50K +55,Private,327406,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,65,United-States,>50K +25,Private,141876,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,185177,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,191807,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,114942,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,43,United-States,>50K +32,Self-emp-inc,204470,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,99,United-States,>50K +50,Private,195844,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Male,13550,0,50,United-States,>50K +39,Private,184659,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,224466,Some-college,10,Divorced,Craft-repair,Unmarried,Black,Male,0,0,24,United-States,<=50K +46,Local-gov,149551,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,5013,0,50,United-States,<=50K +53,Private,113522,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +68,Private,116993,Prof-school,15,Widowed,Prof-specialty,Unmarried,White,Male,0,0,60,United-States,>50K +45,Private,277434,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K +42,Private,167948,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,South,>50K +67,Self-emp-inc,273239,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +74,Private,322789,10th,6,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1411,40,United-States,<=50K +20,Local-gov,240517,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +52,Local-gov,230112,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +21,Local-gov,211385,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,25,United-States,<=50K +33,Private,109282,7th-8th,4,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,367904,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Mexico,<=50K +43,Private,34278,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +67,Private,221281,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K +39,Private,179671,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,State-gov,106721,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K +27,Private,152951,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,315203,7th-8th,4,Never-married,Other-service,Not-in-family,White,Female,0,0,30,Dominican-Republic,<=50K +44,Private,117728,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +23,Private,192017,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,?,186575,11th,7,Never-married,?,Own-child,White,Male,0,0,10,United-States,<=50K +42,Private,120837,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +39,Self-emp-not-inc,289430,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,Mexico,<=50K +44,Private,304175,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K +52,Local-gov,251841,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +17,Private,33611,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,38122,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +23,Self-emp-not-inc,72143,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,Federal-gov,385183,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +58,Private,37345,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,290964,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,38,United-States,>50K +26,Private,52839,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Self-emp-inc,134737,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,2829,0,70,United-States,<=50K +21,Private,55465,10th,6,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +48,Private,377401,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K +21,Private,323497,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,36,United-States,<=50K +21,Private,334693,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +41,Self-emp-inc,163215,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,>50K +54,Private,178530,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +38,Private,368256,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +37,Private,191137,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,42,United-States,<=50K +64,Private,212513,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Private,147653,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K +41,Private,173307,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +42,Private,212760,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +53,State-gov,101238,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +37,Private,306868,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,38,United-States,<=50K +60,Federal-gov,117509,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,151835,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +70,Private,291998,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,20051,0,65,United-States,>50K +44,Private,136986,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +50,Private,201984,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,187060,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,Canada,<=50K +46,Private,174928,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K +29,Private,445480,12th,8,Married-civ-spouse,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +26,Private,265781,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +33,Local-gov,377107,Some-college,10,Separated,Other-service,Own-child,Black,Female,0,0,35,United-States,<=50K +42,Private,347890,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K +24,Private,199336,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,45,United-States,<=50K +17,Private,111593,11th,7,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K +35,Private,258657,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +37,Federal-gov,39207,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K +59,Private,159770,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +27,Private,309463,9th,5,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,10,United-States,<=50K +38,Federal-gov,215419,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,Canada,<=50K +47,Self-emp-not-inc,177533,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,251239,9th,5,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K +40,Federal-gov,134307,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Female,0,1741,40,United-States,<=50K +21,Private,24598,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,140676,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +46,Private,143542,11th,7,Widowed,Machine-op-inspct,Other-relative,White,Male,0,0,20,United-States,<=50K +65,?,38189,HS-grad,9,Never-married,?,Not-in-family,Black,Male,2346,0,40,United-States,<=50K +31,Private,158291,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,118503,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K +50,Self-emp-not-inc,71609,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +46,Private,203653,Bachelors,13,Divorced,Sales,Other-relative,Black,Male,0,0,40,United-States,<=50K +31,Private,181751,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,162358,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1408,40,United-States,<=50K +66,?,231315,Assoc-acdm,12,Widowed,?,Unmarried,White,Female,0,0,3,United-States,<=50K +59,Federal-gov,181940,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +30,Private,213226,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,27828,0,40,United-States,>50K +27,Private,452963,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,268039,Some-college,10,Divorced,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K +34,Private,141841,HS-grad,9,Separated,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +58,Self-emp-not-inc,194733,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +36,Private,214008,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +29,?,147755,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,32,?,<=50K +42,State-gov,273869,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,160261,Some-college,10,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,64,?,<=50K +25,Private,48029,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +18,Private,163460,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,20,United-States,<=50K +55,Private,112529,5th-6th,3,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +55,Private,109075,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,5013,0,48,United-States,<=50K +31,Private,182699,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +33,Private,101867,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +65,Local-gov,382245,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +18,Private,200290,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +23,State-gov,35805,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +22,Private,157541,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +61,Local-gov,192085,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,15,United-States,<=50K +40,Private,33795,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,345459,Some-college,10,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +25,Private,105520,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +63,Local-gov,114752,Bachelors,13,Widowed,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,35,Philippines,<=50K +17,Private,98572,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +54,Self-emp-not-inc,83984,Masters,14,Divorced,Tech-support,Not-in-family,White,Female,0,0,20,United-States,<=50K +45,Local-gov,317846,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Male,0,0,47,United-States,<=50K +28,State-gov,319027,HS-grad,9,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +24,Private,84319,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +70,Private,298470,Bachelors,13,Widowed,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +46,Private,278322,Doctorate,16,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +51,Local-gov,169182,9th,5,Widowed,Other-service,Not-in-family,White,Female,0,0,45,Cuba,<=50K +58,Private,498267,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +71,?,94314,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,1173,0,18,United-States,<=50K +26,Private,50053,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,37,United-States,<=50K +38,Private,107302,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K +40,Private,110009,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,<=50K +45,Private,154174,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +43,Private,147110,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +55,Self-emp-not-inc,141122,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,162164,11th,7,Widowed,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +26,?,168095,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,134664,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3781,0,40,United-States,<=50K +66,Private,95644,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,198183,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +35,Private,538583,11th,7,Separated,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +47,?,308499,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,108837,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,>50K +55,Private,27227,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,1977,35,United-States,>50K +43,Federal-gov,117022,Assoc-voc,11,Divorced,Handlers-cleaners,Unmarried,Black,Male,0,1726,40,United-States,<=50K +66,Private,133884,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,602513,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +55,Self-emp-inc,114495,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,50,United-States,>50K +43,Private,171087,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,40,United-States,>50K +33,Private,53373,10th,6,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +18,Private,323810,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,?,<=50K +50,Private,200325,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,322092,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,209739,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K +38,Private,589809,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +45,Self-emp-not-inc,105838,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +30,Private,119522,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +56,Private,258579,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +29,Private,123200,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,2415,40,Puerto-Rico,>50K +34,Private,275771,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +58,Local-gov,33386,Some-college,10,Widowed,Adm-clerical,Other-relative,White,Female,0,0,25,United-States,<=50K +47,Local-gov,101016,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,40,United-States,>50K +62,Private,217434,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,187229,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,40,United-States,<=50K +49,Private,207772,HS-grad,9,Divorced,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K +40,Federal-gov,179717,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,50,United-States,>50K +17,Private,260978,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,14,Philippines,<=50K +36,Private,280570,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +73,Private,179001,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,7,United-States,<=50K +26,State-gov,79089,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +63,Private,85420,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,10,United-States,<=50K +21,Local-gov,244074,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,22,United-States,<=50K +49,Self-emp-not-inc,259087,11th,7,Widowed,Craft-repair,Unmarried,White,Female,0,0,40,?,<=50K +20,Private,361138,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,45,United-States,<=50K +40,Private,309311,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,46756,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +55,Federal-gov,272339,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Private,82521,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +40,Private,103759,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,150675,10th,6,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,180096,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K +49,Private,157991,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +26,Private,164170,Some-college,10,Never-married,Sales,Other-relative,Asian-Pac-Islander,Female,0,0,35,Philippines,<=50K +18,Private,186946,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,23,United-States,<=50K +57,Private,201159,Assoc-acdm,12,Widowed,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +35,Self-emp-not-inc,61343,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +21,Private,130534,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +43,Private,222635,11th,7,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,80,United-States,<=50K +32,Private,169768,Bachelors,13,Separated,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K +23,Private,72922,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +59,Private,66440,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +50,Private,338836,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,36,United-States,>50K +47,Local-gov,122206,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,>50K +36,Private,145704,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +35,State-gov,88215,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K +24,Private,114873,HS-grad,9,Never-married,Protective-serv,Not-in-family,Other,Male,0,0,40,United-States,<=50K +22,Private,240063,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +67,Self-emp-not-inc,167015,Bachelors,13,Widowed,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +44,Local-gov,354230,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,124827,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,<=50K +24,Private,225739,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +68,?,188102,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,>50K +46,Local-gov,349986,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,112763,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Female,2597,0,40,United-States,<=50K +66,Private,242589,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,34,United-States,<=50K +21,Private,366929,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,38,United-States,<=50K +25,Private,154210,11th,7,Married-spouse-absent,Sales,Own-child,Asian-Pac-Islander,Male,0,0,35,India,<=50K +31,Private,274222,1st-4th,2,Never-married,Transport-moving,Other-relative,Other,Male,0,0,40,El-Salvador,<=50K +51,State-gov,166459,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +33,Private,36222,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +24,Private,240063,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K +31,Federal-gov,158847,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +31,Private,203488,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,45,United-States,>50K +54,Private,96062,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Portugal,<=50K +49,Self-emp-not-inc,126077,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +59,Private,162580,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Female,0,0,35,United-States,<=50K +76,Self-emp-not-inc,413699,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,28,United-States,<=50K +32,Private,303692,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +47,Self-emp-not-inc,184682,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +70,Self-emp-inc,217801,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K +41,Private,306496,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +46,Private,110171,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,<=50K +36,State-gov,89625,HS-grad,9,Never-married,Protective-serv,Other-relative,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +23,?,234108,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,270147,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K +32,Self-emp-not-inc,195891,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,Iran,<=50K +47,Private,131160,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,99999,0,40,United-States,>50K +56,Private,93211,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,Canada,<=50K +38,Private,181661,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,56,United-States,>50K +74,Private,146365,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K +19,Private,219671,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +74,Private,203523,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,2653,0,12,United-States,<=50K +22,?,268145,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,137421,HS-grad,9,Married-spouse-absent,Other-service,Other-relative,Other,Male,0,0,40,Mexico,<=50K +31,Private,302679,12th,8,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +24,Private,421474,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,98524,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,Canada,>50K +27,Private,282313,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +56,Private,157786,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,55,United-States,>50K +40,Private,83508,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,20,United-States,<=50K +67,State-gov,167687,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3456,0,35,United-States,<=50K +45,Self-emp-not-inc,187272,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,45,South,<=50K +36,Federal-gov,187089,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,167625,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K +61,Private,190955,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +50,Private,185846,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,40,United-States,>50K +43,Private,55764,Some-college,10,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,40,United-States,<=50K +69,Private,164110,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,10605,0,50,United-States,>50K +32,Private,117444,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +38,Self-emp-not-inc,164593,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,?,<=50K +45,Private,22610,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,303942,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +51,Federal-gov,378126,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,1980,40,United-States,<=50K +38,Self-emp-inc,231491,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +36,Private,69481,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +42,Private,199018,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +24,Private,255252,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,193871,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,38,United-States,<=50K +36,Private,23892,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,>50K +31,Private,201156,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,55,United-States,>50K +33,Private,171468,Some-college,10,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,<=50K +37,Private,255454,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,7298,0,35,Haiti,>50K +26,Private,207258,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +43,Self-emp-not-inc,134440,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K +46,Private,107737,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,193190,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +45,Private,114774,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,2258,55,United-States,<=50K +17,Private,507492,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,Guatemala,<=50K +23,Private,209955,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,Canada,<=50K +36,Private,298635,Bachelors,13,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,Iran,>50K +47,Private,175600,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,294592,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +39,Private,40955,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +33,Private,268996,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K +30,Private,175323,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,52,United-States,<=50K +22,Private,125010,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +18,?,201871,12th,8,Never-married,?,Own-child,White,Male,0,0,7,United-States,<=50K +28,Private,203171,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,53774,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,4064,0,12,United-States,<=50K +29,Private,247867,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +28,Private,126135,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,82067,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K +45,Private,224559,10th,6,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +48,Local-gov,127675,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,0,0,44,United-States,<=50K +47,Private,101825,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +48,Self-emp-not-inc,259412,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K +25,Private,166977,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,40,United-States,>50K +63,Private,546118,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +42,Private,110318,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,175856,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +30,Private,156763,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +45,Self-emp-inc,213897,Masters,14,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,1902,40,Hong,>50K +24,Private,44493,Assoc-voc,11,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,<=50K +34,Private,201156,11th,7,Never-married,Craft-repair,Not-in-family,White,Female,0,0,30,United-States,<=50K +27,Private,375703,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +31,Private,293594,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,3770,37,Puerto-Rico,<=50K +44,Local-gov,183850,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,<=50K +27,Private,84433,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +62,?,296485,Assoc-voc,11,Separated,?,Not-in-family,White,Male,0,0,10,United-States,<=50K +28,Private,214026,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +40,Local-gov,104235,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2051,30,United-States,<=50K +42,Private,212894,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K +24,Private,446647,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K +56,Private,530099,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,42850,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K +43,Private,120277,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,55,United-States,<=50K +56,Private,146554,HS-grad,9,Separated,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K +20,Private,44793,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +52,Private,182907,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +50,Private,341797,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,>50K +29,Private,226441,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,48988,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K +32,Private,252646,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +27,?,214695,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K +23,Private,189194,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,68021,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,117369,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K +19,Private,340094,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +34,Local-gov,161113,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +23,State-gov,279243,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,<=50K +49,Private,110669,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,32,United-States,<=50K +17,Private,121470,12th,8,Never-married,Transport-moving,Own-child,White,Male,0,0,10,?,<=50K +39,Private,453686,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +32,Private,281219,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,1380,40,United-States,<=50K +30,Private,235738,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,272167,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K +76,?,84737,Bachelors,13,Widowed,?,Other-relative,Asian-Pac-Islander,Male,0,0,32,China,<=50K +62,Private,176965,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,101701,Bachelors,13,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,20,United-States,<=50K +33,Private,22405,HS-grad,9,Separated,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,72,United-States,<=50K +50,Private,98815,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,46,United-States,>50K +43,Private,195897,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +27,Private,96718,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,39,United-States,<=50K +67,Private,126361,11th,7,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,9,United-States,>50K +27,State-gov,56365,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,20,China,<=50K +33,Federal-gov,344073,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Male,0,1408,50,United-States,<=50K +35,Private,306388,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +20,Private,143604,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,2,United-States,<=50K +26,Private,174592,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +45,Self-emp-not-inc,48553,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +23,Private,358355,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,Mexico,<=50K +48,Private,443377,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +28,Local-gov,229656,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1485,40,United-States,>50K +40,Private,115516,Masters,14,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K +62,Private,189665,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +52,Self-emp-not-inc,105010,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,30,United-States,<=50K +50,Private,320510,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +43,Private,175943,HS-grad,9,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,20,United-States,<=50K +44,Private,89172,Masters,14,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,281627,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,1564,30,United-States,>50K +23,State-gov,1117718,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,30,United-States,<=50K +39,Private,108293,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Private,152035,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,38389,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,213902,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +22,Local-gov,192812,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K +35,Private,301911,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,Japan,>50K +52,Private,89041,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K +37,Private,96483,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,5178,0,38,United-States,>50K +25,Private,209970,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K +27,Private,110622,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +51,State-gov,250807,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,State-gov,391257,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,16,United-States,<=50K +26,Private,135521,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +21,?,108670,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +42,Private,179533,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +64,Private,250117,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,50,United-States,>50K +34,State-gov,101562,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +70,Self-emp-inc,223275,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,126060,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +52,State-gov,168035,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K +25,Private,175382,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +33,Private,170540,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,243240,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K +51,Self-emp-not-inc,381769,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,104545,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,20,United-States,<=50K +61,Private,74040,Bachelors,13,Divorced,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,30,South,<=50K +41,Federal-gov,275366,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +40,Self-emp-not-inc,194360,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,72,United-States,>50K +24,State-gov,334693,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +29,Private,146764,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +24,?,184975,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,25,United-States,<=50K +18,Private,336508,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +60,Private,427248,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,?,186489,11th,7,Married-civ-spouse,?,Husband,White,Male,0,2603,40,United-States,<=50K +28,Private,258364,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Local-gov,214215,11th,7,Married-civ-spouse,Other-service,Other-relative,White,Male,0,0,50,United-States,<=50K +41,Self-emp-not-inc,49448,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K +52,Private,261198,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Self-emp-inc,270535,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +26,Self-emp-not-inc,218993,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K +48,Private,155489,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +18,?,151866,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +47,Private,98828,HS-grad,9,Widowed,Prof-specialty,Unmarried,Other,Female,0,0,35,Puerto-Rico,<=50K +22,Private,233495,9th,5,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,182203,Some-college,10,Divorced,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +38,Private,33394,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,75,United-States,>50K +19,?,171583,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +34,Local-gov,80411,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,161295,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,>50K +49,?,178341,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,7688,0,50,United-States,>50K +38,Private,311523,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Iran,<=50K +25,Private,315130,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,10,United-States,<=50K +23,Private,67311,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,Canada,<=50K +48,Private,44907,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,0,45,United-States,<=50K +62,Private,104849,Masters,14,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,China,>50K +27,Private,225768,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +24,Private,186666,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +23,?,69510,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,50,United-States,<=50K +59,Private,171242,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +55,Private,197420,HS-grad,9,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,40,Mexico,<=50K +48,Private,224087,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +61,Self-emp-not-inc,140141,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,175943,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,14,United-States,<=50K +46,Local-gov,318259,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,190027,HS-grad,9,Separated,Tech-support,Unmarried,Black,Female,0,0,35,United-States,<=50K +32,Private,233838,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,<=50K +51,?,117847,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,99,United-States,<=50K +26,Private,49092,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +39,Private,171524,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Columbia,<=50K +50,Private,237868,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1887,55,United-States,>50K +51,Self-emp-not-inc,34067,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Self-emp-inc,25005,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,177437,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Local-gov,185267,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +40,Private,104397,HS-grad,9,Married-civ-spouse,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +41,Private,33331,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K +48,Private,29128,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +57,State-gov,328228,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +21,Private,227411,Assoc-voc,11,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +27,Private,169117,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,30,United-States,<=50K +27,Private,238267,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,10,United-States,<=50K +31,Private,118551,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,47541,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +45,Private,92374,Some-college,10,Never-married,Exec-managerial,Not-in-family,Other,Male,13550,0,60,India,>50K +61,Local-gov,224598,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,24,?,<=50K +32,Private,131568,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,183319,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,43,United-States,>50K +41,Private,309932,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +60,Private,197311,HS-grad,9,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,99,United-States,<=50K +28,Private,292120,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,42,United-States,<=50K +49,Private,117310,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K +23,Private,308647,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,1887,40,United-States,>50K +30,Private,135785,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,179008,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +27,State-gov,205188,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K +26,Private,193945,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +40,State-gov,258589,Masters,14,Never-married,Craft-repair,Not-in-family,White,Male,0,0,80,United-States,<=50K +30,State-gov,107142,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,37,United-States,>50K +42,Private,23157,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +72,Self-emp-not-inc,47203,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,4931,0,70,United-States,<=50K +30,Private,279923,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K +51,Private,192386,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,6849,0,40,United-States,<=50K +24,Private,188569,Masters,14,Never-married,Exec-managerial,Own-child,White,Female,4787,0,60,United-States,>50K +43,Private,68748,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +53,Private,239155,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +45,Private,165346,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,64,United-States,<=50K +21,Private,392082,Some-college,10,Never-married,Adm-clerical,Own-child,Other,Male,0,0,40,United-States,<=50K +36,Private,379522,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,Germany,<=50K +34,Private,109917,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,109097,11th,7,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,State-gov,202765,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Federal-gov,125892,Masters,14,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,15024,0,40,United-States,>50K +30,Private,119411,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,88231,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,188561,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,191681,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +42,Private,36999,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K +57,Private,161662,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,4650,0,40,United-States,<=50K +45,Local-gov,111994,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +27,Private,247711,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,2258,55,United-States,<=50K +41,Private,271282,11th,7,Divorced,Protective-serv,Not-in-family,White,Female,0,0,20,United-States,<=50K +44,Private,314739,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +39,State-gov,195148,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,358121,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +31,Private,101266,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,278391,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,50,United-States,<=50K +19,Private,206751,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +54,Private,161147,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,2174,0,40,United-States,<=50K +47,Private,301431,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +17,Private,347000,12th,8,Never-married,Farming-fishing,Own-child,White,Male,0,0,12,United-States,<=50K +39,State-gov,25806,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,48,China,<=50K +24,Private,181557,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +20,Private,20057,Some-college,10,Never-married,Protective-serv,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +25,Private,190107,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Local-gov,30269,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,44,United-States,>50K +20,Private,117767,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +44,Private,406734,Masters,14,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +23,Private,236696,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,20,Iran,<=50K +24,Private,354691,12th,8,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,199720,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +24,Self-emp-not-inc,31606,Bachelors,13,Married-civ-spouse,Prof-specialty,Other-relative,White,Female,0,0,20,United-States,>50K +45,Federal-gov,133973,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +55,Private,323639,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,74,United-States,>50K +21,Private,225724,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +64,Self-emp-not-inc,144391,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,34173,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,20,United-States,<=50K +55,Local-gov,219074,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,55,United-States,>50K +21,Private,379525,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,4416,0,24,United-States,<=50K +17,Local-gov,287160,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,7,United-States,<=50K +27,Private,130386,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,409815,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +38,Private,212143,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,United-States,>50K +33,?,33404,HS-grad,9,Divorced,?,Unmarried,White,Male,0,0,48,United-States,<=50K +52,Private,235567,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,306868,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K +37,Private,353550,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +37,Private,107302,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K +65,Self-emp-not-inc,169435,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,39,United-States,>50K +28,Private,105817,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,68879,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +53,Self-emp-not-inc,206288,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,35,Vietnam,<=50K +32,Private,187936,10th,6,Never-married,Craft-repair,Not-in-family,Black,Female,0,0,50,United-States,<=50K +45,Private,226081,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +49,Private,414448,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,?,<=50K +34,Local-gov,79190,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,<=50K +39,Private,34996,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +43,Private,318415,Some-college,10,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +45,?,214800,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,12,United-States,<=50K +35,Private,148334,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K +41,Self-emp-inc,160120,Doctorate,16,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K +62,Self-emp-not-inc,285692,Masters,14,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +45,Private,461725,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,104329,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,37284,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,154374,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +17,Private,209650,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +18,Private,227529,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,249382,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +20,Private,305781,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +55,Private,147989,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,58,United-States,<=50K +57,Private,207604,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,367260,Doctorate,16,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,147523,9th,5,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,El-Salvador,<=50K +52,Self-emp-not-inc,193116,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,Mexico,<=50K +18,Private,50119,10th,6,Never-married,Other-service,Not-in-family,Black,Male,0,0,20,United-States,<=50K +52,Private,262579,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +42,Private,244910,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +48,Private,120902,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +55,Private,217241,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,65098,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K +17,Private,364491,11th,7,Never-married,Sales,Own-child,White,Male,0,0,22,United-States,<=50K +47,Private,209739,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,72338,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Male,0,0,26,United-States,<=50K +48,Private,215895,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,32289,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +54,Private,209464,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +69,Private,98170,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,1086,0,20,United-States,<=50K +40,Private,271665,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K +25,Private,124111,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,50,United-States,<=50K +82,Self-emp-not-inc,121944,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +48,Self-emp-not-inc,121424,Bachelors,13,Separated,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K +53,State-gov,33795,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,150429,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,50,United-States,>50K +57,Private,124771,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K +21,Private,204160,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,13,United-States,<=50K +52,Private,243616,5th-6th,3,Separated,Craft-repair,Unmarried,Black,Female,4101,0,40,United-States,<=50K +45,Private,168556,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,186224,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +69,Self-emp-not-inc,187332,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,45,United-States,>50K +30,Private,113433,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +37,Private,268598,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,<=50K +60,Self-emp-inc,137733,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,44,United-States,>50K +55,Private,210318,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,106662,Bachelors,13,Separated,Sales,Not-in-family,White,Male,99999,0,55,United-States,>50K +21,Private,162667,HS-grad,9,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,40,Ecuador,<=50K +25,Private,187577,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +67,Private,89495,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,1797,0,4,United-States,<=50K +41,Local-gov,247082,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +53,Private,157059,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +26,Private,282643,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +68,Self-emp-not-inc,69249,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,10,United-States,>50K +36,Private,131766,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,3325,0,40,United-States,<=50K +20,Private,163665,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +20,Private,165097,Some-college,10,Never-married,Exec-managerial,Other-relative,White,Male,0,2001,40,United-States,<=50K +35,Private,194668,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,99999,0,45,United-States,>50K +27,Private,116372,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,113635,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,162994,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,266803,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,50,Canada,>50K +20,Private,230482,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,299831,Assoc-voc,11,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +30,Private,172830,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Private,144084,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,55,United-States,<=50K +30,Local-gov,295737,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,207685,Bachelors,13,Separated,Prof-specialty,Unmarried,Black,Female,0,0,39,United-States,<=50K +55,Private,161423,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,52,United-States,>50K +53,Self-emp-not-inc,122109,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Female,0,0,70,United-States,<=50K +45,Private,215892,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,2824,50,United-States,>50K +45,Private,176517,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K +40,Self-emp-not-inc,220821,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K +73,Local-gov,249043,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,Cuba,<=50K +18,Private,58949,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +33,Private,158438,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +33,Private,154950,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,200445,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K +65,?,224357,Some-college,10,Married-civ-spouse,?,Husband,White,Male,2290,0,4,United-States,<=50K +31,Federal-gov,103651,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +24,?,316524,Bachelors,13,Never-married,?,Other-relative,White,Female,0,0,40,United-States,<=50K +51,Self-emp-inc,200046,Bachelors,13,Separated,Sales,Unmarried,White,Male,0,2824,40,United-States,>50K +32,Private,193285,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +52,Private,146015,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-inc,195096,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +25,Private,221078,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +45,Local-gov,186375,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +61,Self-emp-not-inc,44983,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +71,Private,29770,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K +63,State-gov,266565,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,27,United-States,<=50K +45,State-gov,235431,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +57,?,153788,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,99999,0,45,United-States,>50K +47,Private,280030,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K +50,Self-emp-not-inc,158352,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K +25,Local-gov,109972,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,45,United-States,<=50K +32,Private,278940,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +40,Private,174395,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +50,Private,141592,10th,6,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +54,Private,295525,Some-college,10,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,121321,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +42,Private,198955,9th,5,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,46,United-States,<=50K +27,?,105189,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,Germany,<=50K +38,Private,186191,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +17,Private,208967,11th,7,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K +47,Private,159399,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +21,?,169600,Some-college,10,Married-spouse-absent,?,Own-child,White,Female,0,0,35,United-States,<=50K +25,Private,262656,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +30,Private,284629,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,182189,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,65,United-States,>50K +47,Federal-gov,38819,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K +57,Private,191873,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,125082,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,40,United-States,<=50K +68,Private,67791,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +34,State-gov,334744,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,65,United-States,<=50K +35,Private,198841,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +39,Local-gov,218490,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +47,Private,188386,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,95661,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,45,Germany,<=50K +55,Self-emp-not-inc,79011,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,70,United-States,<=50K +72,Self-emp-not-inc,103368,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,21,United-States,<=50K +32,Private,119176,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,44,United-States,<=50K +28,Private,90928,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +61,Self-emp-inc,218009,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +44,Self-emp-not-inc,460259,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +35,Local-gov,405284,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K +48,Self-emp-not-inc,26502,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +49,Federal-gov,157569,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,46,United-States,<=50K +32,Private,252168,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,35,United-States,<=50K +26,Federal-gov,269353,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,Other,Male,0,0,55,United-States,<=50K +56,Self-emp-not-inc,52822,Bachelors,13,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,30,United-States,<=50K +71,?,365996,HS-grad,9,Widowed,?,Unmarried,White,Female,6612,0,42,United-States,>50K +24,State-gov,147548,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +42,Local-gov,216411,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,Puerto-Rico,>50K +37,State-gov,122493,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,55,United-States,>50K +57,Private,41680,Some-college,10,Divorced,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K +48,Local-gov,100818,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,7443,0,45,United-States,<=50K +39,Private,30056,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +20,Self-emp-inc,83141,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,178768,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,20,United-States,<=50K +68,Self-emp-not-inc,376957,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,6,United-States,<=50K +33,Private,194740,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,160728,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +62,?,198170,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,4,United-States,<=50K +20,Private,200967,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +42,State-gov,116493,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,<=50K +64,?,117349,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K +42,Private,188615,Some-college,10,Separated,Prof-specialty,Not-in-family,White,Male,0,2231,50,Canada,>50K +47,Private,849067,12th,8,Divorced,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +40,Private,193459,Assoc-acdm,12,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Outlying-US(Guam-USVI-etc),<=50K +51,State-gov,177487,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +26,Private,151971,Some-college,10,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,35,United-States,<=50K +32,Self-emp-inc,169152,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,10520,0,80,Greece,>50K +59,Private,108929,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +36,Private,290861,11th,7,Married-spouse-absent,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,168826,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +45,Private,216414,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +38,Private,324053,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +55,State-gov,197399,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,138069,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +59,Private,184553,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +31,Private,328734,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +29,Private,336167,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,30,United-States,<=50K +34,Private,195748,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Black,Female,0,0,38,United-States,<=50K +53,Private,590941,Doctorate,16,Never-married,Prof-specialty,Unmarried,White,Female,0,1408,40,United-States,<=50K +43,Private,211580,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +52,?,73117,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,38,United-States,<=50K +45,Private,166863,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,141350,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,50,United-States,<=50K +28,Private,133937,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,15024,0,55,United-States,>50K +44,Private,282192,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,60,United-States,<=50K +32,Private,237582,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K +29,Private,262758,Assoc-acdm,12,Never-married,Other-service,Unmarried,Black,Male,0,625,60,United-States,<=50K +48,Self-emp-inc,188694,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +40,Local-gov,104196,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,172232,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +29,Self-emp-not-inc,103432,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +65,Private,183544,9th,5,Widowed,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K +41,Private,276289,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,60,?,<=50K +58,Private,111209,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +30,Private,176862,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,201229,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,8,United-States,<=50K +42,Private,186689,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,60,United-States,<=50K +31,Private,177675,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +38,Federal-gov,337505,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +53,Private,156148,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Self-emp-inc,209642,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,99999,0,55,United-States,>50K +62,Private,159474,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +37,Private,75073,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +56,Self-emp-not-inc,121362,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,40,United-States,>50K +21,Private,321369,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +43,?,49665,HS-grad,9,Divorced,?,Not-in-family,Amer-Indian-Eskimo,Male,0,0,45,United-States,<=50K +44,Private,219155,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +48,Private,329144,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K +40,Local-gov,161475,HS-grad,9,Married-civ-spouse,Protective-serv,Wife,Black,Female,0,0,75,United-States,<=50K +70,Self-emp-inc,99554,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,277488,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +27,Local-gov,286352,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +26,Private,109457,10th,6,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,48,United-States,<=50K +33,Private,236304,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,60,United-States,>50K +35,Private,399601,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +42,State-gov,396758,Some-college,10,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +37,Private,21798,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +21,?,278130,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +17,Private,192173,9th,5,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +40,Private,43546,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,48,United-States,<=50K +20,Private,87546,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +69,Private,135891,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,7,United-States,>50K +32,Private,312923,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +21,Private,33432,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,8,United-States,<=50K +25,Private,270379,HS-grad,9,Never-married,Tech-support,Other-relative,Black,Female,0,0,35,United-States,<=50K +17,Private,134829,11th,7,Never-married,Other-service,Own-child,White,Male,2176,0,20,United-States,<=50K +40,Federal-gov,155106,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,>50K +19,?,145989,Some-college,10,Never-married,?,Own-child,White,Male,0,0,45,United-States,<=50K +50,Local-gov,270221,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,43,United-States,>50K +24,Private,123226,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,154641,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +73,Private,145570,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K +54,Private,229983,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K +68,Self-emp-not-inc,140892,Masters,14,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,15,United-States,<=50K +45,Local-gov,278303,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +66,Private,127139,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +32,Self-emp-not-inc,360689,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +24,Private,19513,HS-grad,9,Never-married,Sales,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +56,Private,50490,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +50,Self-emp-not-inc,34067,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +48,Private,359808,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,>50K +28,Private,105422,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +49,Private,28171,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Male,4787,0,40,United-States,>50K +59,State-gov,49230,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,165107,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +20,Private,112706,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,39,United-States,<=50K +56,Private,28297,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,104748,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +21,Private,129137,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,1055,0,35,United-States,<=50K +30,Private,298871,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1887,45,Iran,>50K +30,Local-gov,229716,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Self-emp-inc,113752,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +32,Self-emp-not-inc,198739,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +42,Local-gov,277256,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +31,Private,114937,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,206206,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +19,Private,197861,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,15,United-States,<=50K +19,Private,38925,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,34309,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +24,Private,219122,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,Italy,<=50K +41,Self-emp-not-inc,51494,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,173422,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +20,?,116773,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,?,<=50K +33,Private,252340,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,213799,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +32,Local-gov,110100,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +53,Private,146325,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,383352,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +33,Private,369258,Bachelors,13,Never-married,Handlers-cleaners,Other-relative,White,Female,0,0,40,Mexico,<=50K +49,Private,239865,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +52,Private,200783,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K +40,Private,243580,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K +36,Private,132563,Prof-school,15,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,15,United-States,>50K +41,Self-emp-not-inc,390369,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,58,United-States,>50K +25,Private,403788,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,36,United-States,<=50K +26,State-gov,68346,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,10,?,<=50K +59,Private,136413,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +56,Federal-gov,208791,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,<=50K +21,Private,572285,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,20,United-States,<=50K +45,Private,90992,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K +18,Private,156056,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K +20,Private,194102,Some-college,10,Never-married,Prof-specialty,Other-relative,White,Male,0,0,12,United-States,<=50K +42,Private,149102,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +41,Private,40151,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +40,Private,356934,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,45,United-States,>50K +28,Federal-gov,72514,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,72,United-States,<=50K +47,Local-gov,174126,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,324386,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,159544,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +34,Private,114691,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +49,Private,222829,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K +63,Private,298699,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,Private,216845,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,Mexico,<=50K +44,Private,321824,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K +56,Private,97541,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K +30,Private,329425,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +38,Self-emp-inc,148287,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +51,Local-gov,251346,9th,5,Married-civ-spouse,Other-service,Wife,White,Female,0,0,38,Puerto-Rico,<=50K +30,Private,143766,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +56,Private,49647,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,70,United-States,<=50K +50,Private,233363,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +54,Local-gov,180427,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +46,Private,30111,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +27,Private,360527,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,135803,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +60,Federal-gov,608441,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +42,Local-gov,720428,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K +36,Private,269784,10th,6,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,423311,HS-grad,9,Married-AF-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +43,Private,343591,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +29,Private,37088,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,?,154430,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +22,Private,113588,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,1741,30,United-States,<=50K +46,Private,190072,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,272132,Prof-school,15,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,65,?,<=50K +44,Federal-gov,32000,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +30,Self-emp-inc,164190,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,2258,45,United-States,<=50K +17,Private,233781,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,18,United-States,<=50K +23,Private,401762,11th,7,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Self-emp-not-inc,169186,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +33,Private,164309,11th,7,Separated,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K +24,Private,170800,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,37,United-States,<=50K +32,Private,37232,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,373403,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +44,Private,192014,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,0,0,38,United-States,<=50K +48,Self-emp-not-inc,172034,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +36,Local-gov,322770,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,1887,40,Jamaica,>50K +39,Private,269168,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,45,China,>50K +34,Private,302570,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,36,United-States,<=50K +35,Private,103710,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Self-emp-not-inc,113364,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K +33,Private,121966,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,50,United-States,<=50K +35,Private,416745,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +30,Local-gov,154548,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,65,United-States,<=50K +45,Private,188794,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,156266,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +61,?,270599,1st-4th,2,Widowed,?,Not-in-family,White,Female,0,0,18,Mexico,<=50K +36,Private,19914,Some-college,10,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +31,Private,246439,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Male,0,0,45,United-States,<=50K +38,Private,101833,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,40,United-States,>50K +32,Private,177695,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,45,India,<=50K +23,Private,167868,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,24,United-States,<=50K +22,Private,82561,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,31848,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +45,?,117310,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,355918,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +38,Private,49115,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +29,Private,102875,11th,7,Married-civ-spouse,Handlers-cleaners,Own-child,Black,Male,0,0,20,United-States,<=50K +67,?,194456,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K +52,Self-emp-not-inc,284648,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,99,United-States,>50K +52,Self-emp-not-inc,73134,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +44,Private,172600,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,10520,0,50,United-States,>50K +61,?,244856,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,4386,0,40,United-States,>50K +25,Private,184303,7th-8th,4,Never-married,Priv-house-serv,Other-relative,White,Female,0,0,40,Guatemala,<=50K +25,State-gov,154610,Bachelors,13,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Female,0,1719,15,United-States,<=50K +33,Private,260560,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,360770,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,Dominican-Republic,<=50K +24,Private,315877,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K +58,Private,128258,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,24,United-States,<=50K +33,Private,179336,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Self-emp-inc,168165,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,109015,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,1876,40,United-States,<=50K +22,Private,89154,1st-4th,2,Never-married,Other-service,Other-relative,White,Male,0,0,40,El-Salvador,<=50K +30,?,260954,7th-8th,4,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,85399,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,240841,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K +20,Private,119742,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K +24,Private,30656,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,24,United-States,<=50K +30,Local-gov,263561,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +25,Private,108838,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,259351,HS-grad,9,Never-married,Other-service,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,Mexico,<=50K +42,Private,159449,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Self-emp-not-inc,195322,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,United-States,<=50K +38,Self-emp-not-inc,179481,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +40,State-gov,195388,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,123429,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +36,Federal-gov,116580,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +21,Private,270043,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,25,United-States,<=50K +49,Self-emp-not-inc,232586,Bachelors,13,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,65,United-States,<=50K +52,Private,164519,HS-grad,9,Widowed,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K +33,Self-emp-not-inc,141118,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,55,United-States,>50K +27,Private,177955,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,Mexico,<=50K +45,Local-gov,149337,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Italy,>50K +45,Private,68896,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,48,?,<=50K +27,Private,22422,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +41,Private,215453,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,43,Mexico,<=50K +30,Local-gov,170772,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,36011,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,2057,45,United-States,<=50K +35,Private,133839,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +48,Federal-gov,50567,Some-college,10,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Self-emp-inc,203233,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,99,United-States,>50K +46,Private,187510,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +24,Federal-gov,290625,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,41,United-States,<=50K +39,Private,127573,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,>50K +27,Private,50316,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,169473,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +46,Private,25894,Doctorate,16,Divorced,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,India,>50K +44,Private,106900,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +43,Private,157473,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,48,United-States,>50K +31,Private,122612,Masters,14,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,0,25,Japan,>50K +17,Private,132187,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K +25,?,52151,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,<=50K +31,Private,212705,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +38,Private,436361,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,20,United-States,>50K +38,Private,184456,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,50,Greece,<=50K +69,Local-gov,142297,10th,6,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,17,United-States,<=50K +60,Federal-gov,54701,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +34,Private,245211,Masters,14,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Poland,>50K +50,Private,98975,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,15024,0,40,United-States,>50K +31,Private,463601,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K +26,Private,297991,Bachelors,13,Married-civ-spouse,Sales,Not-in-family,Asian-Pac-Islander,Female,0,1977,75,Cambodia,>50K +36,Private,196554,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K +23,Private,113511,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +17,Private,152710,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +30,Private,147171,Some-college,10,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,40,Trinadad&Tobago,<=50K +54,Private,52724,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,177482,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +58,Private,219537,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,350106,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,34,United-States,<=50K +30,Private,197947,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K +21,Private,253583,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K +26,Private,58751,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +29,Private,206889,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,151399,12th,8,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +40,Local-gov,50563,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,55,United-States,>50K +31,Private,63861,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,34,United-States,<=50K +47,Private,165517,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +59,?,43103,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +21,?,123983,Some-college,10,Never-married,?,Own-child,Other,Male,0,0,20,United-States,<=50K +45,Self-emp-not-inc,32172,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +30,Private,192644,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +52,Self-emp-inc,230919,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +68,Private,115772,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Scotland,<=50K +66,Self-emp-not-inc,51687,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K +26,Private,191803,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,170721,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +20,?,132053,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,170842,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +22,?,51973,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +21,?,72621,Some-college,10,Never-married,?,Own-child,White,Male,0,0,45,United-States,<=50K +20,State-gov,205895,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +53,Self-emp-inc,99185,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,80,Greece,<=50K +30,Private,149726,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,7688,0,40,United-States,>50K +38,Private,372525,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K +21,Private,165107,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +47,Local-gov,273767,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +61,Private,227266,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Federal-gov,89334,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,199202,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,326587,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,144351,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K +56,Federal-gov,119254,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +62,Private,193881,Masters,14,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +77,Private,271000,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +17,?,74685,10th,6,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +34,Private,123291,10th,6,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +33,Local-gov,557359,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +25,Private,197403,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,184245,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,Columbia,<=50K +21,Private,92898,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +51,Private,105788,5th-6th,3,Separated,Other-service,Unmarried,Black,Female,0,0,40,Scotland,<=50K +22,?,205940,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +45,Private,212120,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +35,Private,351772,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K +33,Private,309582,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,7298,0,50,United-States,>50K +28,Private,244650,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,1602,25,United-States,<=50K +58,Self-emp-not-inc,290670,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +64,Self-emp-not-inc,167877,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +37,Private,454024,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,Black,Female,0,0,35,United-States,<=50K +28,Private,125531,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +22,Private,220603,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +59,Private,180645,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,98725,10th,6,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,60,United-States,<=50K +46,Private,431515,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,122612,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,South,<=50K +23,Federal-gov,190290,HS-grad,9,Never-married,Armed-Forces,Own-child,White,Male,0,0,40,United-States,<=50K +76,Private,174839,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,9386,0,25,United-States,>50K +46,Federal-gov,83610,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +50,Private,273534,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,United-States,<=50K +26,Private,383885,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,50,United-States,<=50K +19,Private,188618,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,24,United-States,<=50K +35,Private,95653,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,56,United-States,<=50K +61,Private,204908,11th,7,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,36,United-States,<=50K +41,Private,221172,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,97723,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +32,Private,200401,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,Columbia,<=50K +41,State-gov,205153,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +38,Private,170174,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +58,Federal-gov,26947,Bachelors,13,Widowed,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +17,?,154938,11th,7,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +62,Private,125832,9th,5,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,35,United-States,<=50K +25,Self-emp-not-inc,150361,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Local-gov,113183,Masters,14,Divorced,Prof-specialty,Not-in-family,Other,Female,0,0,40,United-States,<=50K +23,Private,39551,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K +18,?,62854,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +61,?,31285,7th-8th,4,Separated,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,199217,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K +47,Local-gov,40690,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,315671,7th-8th,4,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K +23,Private,180339,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,119545,Bachelors,13,Separated,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K +23,Private,195508,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +31,Private,364657,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +49,Federal-gov,168598,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,>50K +33,Private,178683,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5013,0,40,United-States,<=50K +27,Private,123116,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2057,49,United-States,<=50K +33,Private,251117,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +35,Local-gov,42893,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,5721,0,40,United-States,<=50K +19,Private,386492,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K +31,Private,249869,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,116219,Some-college,10,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +33,Private,168981,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +67,?,137894,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,0,16,United-States,>50K +19,State-gov,139091,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K +25,Private,219199,11th,7,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,191455,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,10,United-States,<=50K +39,Private,325374,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +77,?,180425,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K +43,Private,149871,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +30,Private,342730,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +41,Private,252392,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +60,Private,193864,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Self-emp-inc,139364,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,35,United-States,>50K +20,Private,253612,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +34,Private,287168,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +17,Private,364952,10th,6,Married-spouse-absent,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K +45,Private,82797,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +31,Private,100135,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +54,Local-gov,287831,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,55,United-States,>50K +41,Self-emp-not-inc,140108,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,30,United-States,<=50K +19,Private,180917,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Private,29036,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Self-emp-not-inc,221581,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +63,Local-gov,382882,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,237091,HS-grad,9,Married-civ-spouse,Priv-house-serv,Other-relative,White,Female,0,0,20,Columbia,<=50K +19,Private,134252,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +29,Private,269354,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Private,226922,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,2907,0,43,United-States,<=50K +37,Self-emp-not-inc,191841,Bachelors,13,Divorced,Other-service,Unmarried,White,Female,0,0,48,United-States,<=50K +28,Private,37805,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +52,Private,590522,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2002,45,United-States,<=50K +51,Private,202752,12th,8,Separated,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +34,?,304872,Some-college,10,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,228075,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,163831,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,32326,Bachelors,13,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,>50K +40,Private,179809,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +35,Private,76878,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Italy,<=50K +44,Federal-gov,210492,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Male,0,0,40,United-States,<=50K +56,Private,105582,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,>50K +44,Private,160369,Some-college,10,Married-civ-spouse,Priv-house-serv,Husband,White,Male,0,0,2,United-States,<=50K +27,Private,364986,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,38,United-States,<=50K +56,?,169278,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +52,Local-gov,76081,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +27,State-gov,234135,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Self-emp-inc,187693,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,80,United-States,>50K +32,Private,188362,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,235271,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,86,United-States,>50K +34,Private,51854,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,103772,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Federal-gov,300670,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,>50K +45,Private,175990,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K +43,Private,173590,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +38,State-gov,156866,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Other,Male,0,0,40,United-States,>50K +56,Private,71388,9th,5,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +40,Private,228659,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K +55,Self-emp-not-inc,110844,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +52,Private,149908,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,25236,0,44,United-States,>50K +28,Private,93021,5th-6th,3,Never-married,Machine-op-inspct,Unmarried,Other,Female,0,0,40,?,<=50K +19,Local-gov,273187,HS-grad,9,Never-married,Protective-serv,Own-child,White,Female,0,0,36,United-States,<=50K +19,Private,62419,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +24,Private,218957,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,24,?,<=50K +48,Private,182715,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +29,Private,157103,Assoc-voc,11,Never-married,Tech-support,Own-child,Black,Male,0,1974,40,United-States,<=50K +54,Private,133963,Some-college,10,Widowed,Sales,Unmarried,White,Female,0,0,20,United-States,<=50K +26,Private,151724,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +58,Private,196502,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +37,Self-emp-inc,199816,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +41,Private,413365,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +65,Private,195568,Some-college,10,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,20,United-States,<=50K +43,Private,186245,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +33,Private,279231,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K +55,Federal-gov,171870,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,46,United-States,>50K +32,Private,127651,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,46,United-States,>50K +56,Self-emp-not-inc,289605,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,130856,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +34,State-gov,49539,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +39,Self-emp-not-inc,263081,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,50,United-States,<=50K +56,Local-gov,205759,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,358655,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +51,Private,186299,Preschool,1,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,30,United-States,<=50K +47,Private,289517,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +22,Private,105686,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +58,Local-gov,81132,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,80,Philippines,>50K +25,Private,68302,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,443546,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +34,Self-emp-not-inc,195891,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,?,>50K +35,Private,99462,HS-grad,9,Divorced,Tech-support,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +36,Private,224541,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +70,?,262502,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,1844,24,United-States,<=50K +41,Private,118921,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,60,United-States,<=50K +46,Private,155489,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +38,Self-emp-not-inc,248919,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,27828,0,35,United-States,>50K +47,Private,139268,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,27828,0,38,United-States,>50K +43,Self-emp-not-inc,245056,Preschool,1,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,Haiti,<=50K +39,Private,433592,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,45,United-States,>50K +29,Private,336624,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,8614,0,40,United-States,>50K +47,Private,177858,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,27828,0,60,United-States,>50K +37,Private,207066,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,56750,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K +67,Private,110331,9th,5,Divorced,Adm-clerical,Other-relative,White,Female,0,0,20,United-States,<=50K +40,Private,84801,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +53,Local-gov,175897,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,369027,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,37,United-States,<=50K +56,Private,170411,HS-grad,9,Divorced,Protective-serv,Own-child,White,Male,4101,0,38,United-States,<=50K +47,Private,171751,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,61518,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +31,Private,214235,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K +42,?,56483,Some-college,10,Married-AF-spouse,?,Wife,White,Female,0,0,14,United-States,<=50K +44,Private,154993,Some-college,10,Separated,Craft-repair,Unmarried,White,Female,0,0,55,United-States,<=50K +33,Private,160594,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +22,Private,258298,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K +52,Private,192666,12th,8,Separated,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K +33,Private,156602,Bachelors,13,Never-married,Sales,Own-child,White,Male,3325,0,43,United-States,<=50K +31,Private,122116,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +75,Local-gov,73433,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,2467,40,Canada,<=50K +50,Private,99185,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,203828,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,<=50K +58,Local-gov,101480,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Self-emp-inc,134815,9th,5,Never-married,Craft-repair,Unmarried,White,Male,0,625,40,United-States,<=50K +36,State-gov,235195,Some-college,10,Separated,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K +26,Private,93169,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +58,Local-gov,36091,Masters,14,Never-married,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +57,Private,124318,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,45,United-States,<=50K +46,Self-emp-inc,188861,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,1564,50,United-States,>50K +29,Private,194402,Masters,14,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,42,?,<=50K +42,Self-emp-not-inc,54651,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Cuba,>50K +34,Private,169496,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +57,Private,34366,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +35,State-gov,213076,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +36,Local-gov,161132,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,56,United-States,<=50K +46,Private,479406,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1672,40,United-States,<=50K +39,Private,115618,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +25,Self-emp-inc,158033,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,65,United-States,<=50K +43,Private,108682,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +26,Private,430195,11th,7,Separated,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K +46,Local-gov,138107,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,United-States,>50K +27,Private,215014,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,183279,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +68,Self-emp-not-inc,119056,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,24,United-States,>50K +52,Private,158583,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,36,United-States,<=50K +26,Private,242464,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +27,Private,35204,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K +52,Private,233149,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K +54,Private,182855,7th-8th,4,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,189346,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +39,Private,82726,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +38,Private,179481,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +19,Private,167428,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K +22,Private,182117,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +58,Private,162970,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1977,60,United-States,>50K +39,Private,421633,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +20,State-gov,231931,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,132749,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,254351,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K +31,State-gov,152109,Assoc-voc,11,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,100479,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +53,Local-gov,222405,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +32,Private,117028,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,91163,HS-grad,9,Separated,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K +36,Private,150104,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +39,Private,114605,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,348152,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,174463,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +47,Private,180243,Bachelors,13,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K +31,Private,238816,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,275848,12th,8,Never-married,Sales,Other-relative,White,Female,0,0,16,United-States,<=50K +51,Private,114520,HS-grad,9,Divorced,Sales,Unmarried,White,Male,0,0,16,United-States,<=50K +34,State-gov,275880,Bachelors,13,Separated,Exec-managerial,Unmarried,Black,Female,0,0,38,United-States,<=50K +39,Private,188148,Some-college,10,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,48,United-States,<=50K +42,Private,112494,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,35,United-States,>50K +17,?,159771,10th,6,Never-married,?,Own-child,Black,Male,0,0,6,England,<=50K +27,Private,278736,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +20,?,354351,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K +33,Private,252257,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +62,?,128230,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,48,United-States,>50K +27,Private,321456,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +45,Self-emp-inc,200825,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +19,Private,86143,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,20,Philippines,<=50K +40,State-gov,353687,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +43,Local-gov,212847,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Private,154589,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,35,United-States,>50K +42,Private,183765,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +28,Private,186672,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,Jamaica,<=50K +50,Private,249096,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +27,Private,190784,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,45,United-States,<=50K +25,Private,144516,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,124993,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,>50K +24,Private,111376,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,300838,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K +28,Private,359049,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,1092,60,United-States,<=50K +36,?,100669,HS-grad,9,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,25,United-States,<=50K +46,Self-emp-not-inc,366089,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +19,Private,110998,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +23,Private,60409,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Private,129263,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +48,Private,219967,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,171540,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Local-gov,61708,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +36,Private,294760,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,209280,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,31,United-States,<=50K +31,Private,208881,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +17,Private,191535,11th,7,Never-married,Adm-clerical,Own-child,White,Male,0,0,7,United-States,<=50K +31,Private,143851,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +51,Private,161599,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,?,<=50K +20,Self-emp-not-inc,428299,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,199366,10th,6,Married-spouse-absent,Craft-repair,Own-child,White,Male,0,0,16,United-States,<=50K +34,Local-gov,484911,HS-grad,9,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +37,Private,390243,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,45,United-States,<=50K +55,Self-emp-not-inc,204502,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +32,Self-emp-not-inc,114419,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +49,Private,79436,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,<=50K +54,Private,141272,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +62,Local-gov,123749,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +18,Private,101173,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,35,United-States,<=50K +49,Private,39518,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +26,Private,250038,9th,5,Never-married,Farming-fishing,Other-relative,White,Male,0,0,40,Mexico,<=50K +59,Self-emp-inc,165695,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,>50K +48,Local-gov,225594,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +21,State-gov,51979,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,11,United-States,<=50K +31,Private,177675,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +37,Private,199739,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,27408,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K +28,Private,110169,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,3,United-States,<=50K +39,Self-emp-not-inc,179488,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,118551,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,>50K +71,Self-emp-not-inc,157845,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K +37,Self-emp-not-inc,68899,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +53,Private,58535,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,191503,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +34,Private,113364,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K +34,Self-emp-not-inc,204742,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,62,United-States,<=50K +21,Private,163870,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,?,<=50K +53,Private,208122,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Other,Male,0,0,60,United-States,>50K +46,Local-gov,174361,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +23,Private,265077,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,1055,0,10,United-States,<=50K +50,Private,241648,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +30,Private,94145,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Male,0,0,40,United-States,<=50K +32,Private,178449,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +23,Private,236804,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K +53,Self-emp-not-inc,187830,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,35,United-States,>50K +41,Private,66208,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K +42,Private,219155,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +38,Private,99146,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K +45,Private,142889,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,44,United-States,<=50K +56,Private,136164,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,154410,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +65,Private,113293,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,195096,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +42,Private,172641,7th-8th,4,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +43,Private,265072,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,2258,50,United-States,>50K +22,Private,305874,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +51,Private,312446,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,37,United-States,>50K +21,Private,391312,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,30,United-States,<=50K +32,Private,234976,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,<=50K +19,Private,199495,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +53,Private,98561,HS-grad,9,Widowed,Tech-support,Not-in-family,White,Male,0,0,39,United-States,>50K +43,Private,176452,9th,5,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,50,?,>50K +17,Private,188996,9th,5,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +46,State-gov,171926,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,7430,0,50,United-States,>50K +45,Local-gov,310260,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +52,Private,72257,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,86643,Assoc-acdm,12,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +18,Private,115815,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +53,Private,227475,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Local-gov,324550,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +37,Private,138105,HS-grad,9,Separated,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,146189,11th,7,Never-married,Sales,Unmarried,Amer-Indian-Eskimo,Male,0,0,43,United-States,<=50K +25,Private,478836,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,513440,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Mexico,<=50K +19,Private,151806,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,363253,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,?,>50K +54,Self-emp-inc,263925,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +29,Private,57617,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,34,United-States,<=50K +32,Private,208761,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +49,Private,169092,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,?,<=50K +34,Private,173854,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,27828,0,60,United-States,>50K +46,Local-gov,116906,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,2258,35,United-States,<=50K +43,Private,163769,10th,6,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Federal-gov,72630,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,14084,0,55,United-States,>50K +58,?,141409,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +67,Private,24968,9th,5,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,118514,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +19,?,116834,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K +42,Self-emp-not-inc,99185,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +32,Private,121769,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,160271,7th-8th,4,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,123429,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,<=50K +24,Private,744929,HS-grad,9,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K +21,Private,143604,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K +36,Private,284582,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +38,?,229363,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,4,United-States,<=50K +53,Private,161482,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +24,Self-emp-not-inc,107452,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +38,State-gov,534775,Some-college,10,Never-married,Tech-support,Unmarried,Black,Female,0,0,50,United-States,<=50K +51,Private,183200,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,<=50K +42,Private,169980,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,50,United-States,>50K +22,Private,299047,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +53,Private,92475,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +51,Private,114758,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K +65,Self-emp-not-inc,55894,Prof-school,15,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,98466,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,170174,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Male,14344,0,40,United-States,>50K +54,Private,335177,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,45,?,<=50K +24,Private,511231,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +32,Local-gov,257849,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +40,Local-gov,208751,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,383566,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,England,>50K +47,?,214605,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +40,State-gov,243664,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,<=50K +41,Private,176716,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +38,Private,366618,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Self-emp-inc,83748,Some-college,10,Married-civ-spouse,Exec-managerial,Other-relative,Asian-Pac-Islander,Female,0,0,70,South,<=50K +64,Private,278585,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +47,Private,106942,7th-8th,4,Separated,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K +22,Private,372898,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +48,Private,183610,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,106061,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K +58,State-gov,138130,HS-grad,9,Never-married,Tech-support,Own-child,Black,Female,0,0,40,United-States,<=50K +48,Private,43479,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,5013,0,40,United-States,<=50K +49,Private,118520,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +34,Federal-gov,207284,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,State-gov,598995,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,3103,0,40,United-States,>50K +50,State-gov,141608,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K +31,Private,230912,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,55,United-States,<=50K +31,Private,309170,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,27459,HS-grad,9,Married-spouse-absent,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,266674,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,56,United-States,>50K +52,Private,93127,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,32,United-States,<=50K +43,Self-emp-inc,27444,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,40,United-States,>50K +30,Private,131415,Bachelors,13,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,60,United-States,<=50K +54,Private,105428,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,1741,40,United-States,<=50K +36,Private,139364,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,10520,0,40,Ireland,>50K +43,Private,236936,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,47,United-States,>50K +35,Private,109204,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,456592,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,37,United-States,<=50K +34,Self-emp-not-inc,173201,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,Cuba,<=50K +19,?,183408,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,111721,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K +39,Private,268258,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,Black,Male,7688,0,50,United-States,>50K +59,Private,128258,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +46,Self-emp-not-inc,525848,11th,7,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,48,United-States,<=50K +39,Private,124090,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +67,Private,249043,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,6767,0,40,United-States,<=50K +38,Private,119098,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,42,United-States,<=50K +70,?,30772,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +22,Local-gov,49414,Some-college,10,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +30,Private,197886,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,>50K +39,Without-pay,334291,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +21,?,171156,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +78,?,109498,9th,5,Widowed,?,Unmarried,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,83411,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2415,40,United-States,>50K +47,Local-gov,209968,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +20,Private,223921,12th,8,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +52,Local-gov,133403,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +50,Private,75763,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K +34,Private,200401,HS-grad,9,Separated,Transport-moving,Own-child,White,Male,0,0,25,Columbia,<=50K +45,Private,55272,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Local-gov,194970,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,Self-emp-not-inc,143385,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,80,United-States,<=50K +30,Private,180317,Assoc-voc,11,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,255176,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +37,Local-gov,175120,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +38,Self-emp-inc,66687,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,50,Portugal,>50K +27,Federal-gov,115705,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,50,United-States,>50K +17,?,197732,11th,7,Never-married,?,Own-child,White,Female,0,0,20,England,<=50K +32,Private,111883,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,210474,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +26,Private,123472,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +24,Private,257621,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,341943,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +57,Private,181242,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +40,Federal-gov,187164,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,308365,HS-grad,9,Never-married,Craft-repair,Other-relative,Black,Male,0,0,38,United-States,<=50K +53,Self-emp-not-inc,263439,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +23,Private,442359,HS-grad,9,Never-married,Sales,Own-child,White,Female,8614,0,15,United-States,>50K +54,Self-emp-not-inc,166368,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,25,United-States,<=50K +21,Private,116968,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,2597,0,40,United-States,<=50K +26,Private,57593,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,247507,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,43,United-States,<=50K +38,Private,213512,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +19,Private,71691,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,18,United-States,<=50K +28,?,147719,Some-college,10,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,0,0,48,India,<=50K +40,Private,244835,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +21,?,285830,HS-grad,9,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,20,Laos,<=50K +37,Private,386461,5th-6th,3,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,45,Mexico,<=50K +41,Private,154714,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +47,Private,281401,5th-6th,3,Divorced,Sales,Other-relative,White,Female,0,0,32,Mexico,<=50K +35,Private,189251,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,Iran,<=50K +39,State-gov,102729,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,327766,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,55,United-States,>50K +29,Private,168479,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,249352,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +24,Private,300008,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +32,Private,296466,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +47,Private,199277,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,Portugal,>50K +36,Private,174242,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +63,Private,130968,9th,5,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +25,Private,288440,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,208358,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +40,Self-emp-not-inc,458168,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +23,Private,37894,HS-grad,9,Separated,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +38,Self-emp-not-inc,107410,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +24,?,96844,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +53,Private,402016,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,52,United-States,>50K +60,Private,258869,Doctorate,16,Separated,Priv-house-serv,Unmarried,White,Female,0,0,30,Nicaragua,<=50K +35,Private,114087,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,5013,0,40,United-States,<=50K +33,Private,116294,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,>50K +21,Private,241523,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +23,?,163053,10th,6,Never-married,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +18,Never-worked,162908,11th,7,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K +45,State-gov,310049,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K +37,Private,293475,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +60,Local-gov,169015,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,325762,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +37,Self-emp-not-inc,101561,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K +41,State-gov,52131,HS-grad,9,Divorced,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,163867,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,204663,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,3325,0,40,United-States,<=50K +18,?,233136,11th,7,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K +61,Self-emp-not-inc,48846,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +30,Private,264351,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,25,Ecuador,<=50K +41,Private,190205,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +29,Private,254450,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Self-emp-not-inc,29974,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,10520,0,45,United-States,>50K +53,Federal-gov,40641,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +73,Self-emp-not-inc,256401,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,28,United-States,>50K +25,Private,203833,10th,6,Never-married,Farming-fishing,Not-in-family,Black,Male,0,0,35,Haiti,<=50K +30,Private,277455,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,176335,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +51,Private,394690,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,State-gov,71996,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,52,United-States,<=50K +73,Self-emp-not-inc,110787,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,1409,0,2,United-States,<=50K +37,State-gov,157641,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Female,0,0,30,United-States,<=50K +72,Private,164724,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,28,United-States,<=50K +30,Self-emp-not-inc,173792,Some-college,10,Separated,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,163595,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,132412,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,?,<=50K +22,Private,193089,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,43,United-States,<=50K +28,Private,190525,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +30,Private,175878,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K +21,Private,161902,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,211494,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,8614,0,40,?,>50K +42,Private,89003,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +31,Private,344200,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,62345,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,?,<=50K +35,Private,85799,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,?,26754,Bachelors,13,Married-civ-spouse,?,Wife,Asian-Pac-Islander,Female,0,0,10,China,<=50K +26,Private,193347,Some-college,10,Divorced,Sales,Own-child,White,Female,0,0,28,United-States,<=50K +45,Self-emp-not-inc,176814,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,3411,0,40,United-States,<=50K +27,Private,336162,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +39,Private,98975,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,8614,0,50,United-States,>50K +71,Private,150943,Bachelors,13,Widowed,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K +22,Local-gov,131573,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,25,United-States,<=50K +51,Private,138852,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +48,Private,35406,Assoc-voc,11,Separated,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +48,Private,167159,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,80680,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,64,United-States,<=50K +55,Self-emp-inc,87584,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,10,United-States,<=50K +33,Private,56121,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +35,Private,284358,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +22,Private,224969,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,209034,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +33,?,177733,7th-8th,4,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +19,Private,57366,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K +23,Private,35633,7th-8th,4,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,191177,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +75,Private,199826,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,36,United-States,>50K +54,Self-emp-not-inc,94323,9th,5,Married-civ-spouse,Craft-repair,Wife,Amer-Indian-Eskimo,Female,0,2163,15,United-States,<=50K +60,?,380268,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +90,Private,272752,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K +34,Private,228386,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,Black,Female,0,0,70,United-States,<=50K +20,Private,187149,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Female,0,0,40,United-States,<=50K +24,Local-gov,335439,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +24,Private,250630,Bachelors,13,Never-married,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K +45,Local-gov,272182,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,5013,0,40,United-States,<=50K +29,Private,108574,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +47,State-gov,185400,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +24,Private,406641,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K +29,Private,103634,HS-grad,9,Never-married,Protective-serv,Unmarried,White,Male,0,0,35,United-States,<=50K +46,Private,261059,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +66,Private,199374,Masters,14,Widowed,Sales,Unmarried,White,Female,0,0,20,United-States,<=50K +41,Private,405172,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,?,>50K +32,Private,147654,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K +51,Private,129301,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +29,Private,173789,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,212588,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Self-emp-not-inc,457453,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +65,Private,187493,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,40,Germany,>50K +57,Self-emp-not-inc,20953,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,2129,70,United-States,<=50K +40,Private,131650,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +60,Private,290754,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,?,<=50K +46,State-gov,114396,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +19,Private,202102,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,318360,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,>50K +39,Private,160916,9th,5,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +32,?,913447,HS-grad,9,Divorced,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +30,Private,293931,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K +20,Private,230824,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +20,?,358355,12th,8,Never-married,?,Unmarried,White,Female,0,0,35,United-States,<=50K +62,Private,584259,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K +44,?,208726,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +38,Private,185556,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +58,Local-gov,100054,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +44,Private,172307,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +45,Private,30840,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,27828,0,50,United-States,>50K +27,Private,147839,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,38,United-States,<=50K +51,Private,54465,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,<=50K +52,Federal-gov,418640,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,Haiti,>50K +34,Private,222130,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,187336,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Local-gov,321024,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,351262,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,38,United-States,>50K +28,Private,181597,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +41,Private,694105,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +60,Private,241013,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +44,Self-emp-inc,223881,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,?,>50K +40,Federal-gov,158796,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,Philippines,<=50K +41,Private,248476,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,191277,Assoc-voc,11,Divorced,Craft-repair,Own-child,White,Male,0,0,30,Thailand,<=50K +26,Private,273876,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K +33,Private,402848,HS-grad,9,Married-spouse-absent,Adm-clerical,Other-relative,White,Female,0,0,32,United-States,<=50K +62,Private,82906,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,4064,0,35,England,<=50K +45,Private,153682,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K +52,Private,122412,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,99999,0,35,United-States,>50K +26,Private,216819,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,189680,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,>50K +41,Private,147099,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,288158,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +32,Private,146161,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +65,?,104454,Bachelors,13,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K +50,Private,91475,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,151868,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,5013,0,65,United-States,<=50K +19,Private,118306,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,51543,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K +34,Private,69727,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +60,Private,186000,10th,6,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,48280,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,186935,11th,7,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +24,Federal-gov,104164,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,339677,Masters,14,Divorced,Tech-support,Unmarried,White,Female,0,0,40,?,>50K +37,Private,123586,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,1902,73,?,>50K +19,Private,150073,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,25,United-States,<=50K +24,Private,59792,Masters,14,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +52,Private,24185,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,84,United-States,<=50K +87,?,97295,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,3,United-States,<=50K +27,Without-pay,35034,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Female,0,0,40,United-States,<=50K +46,Private,118714,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +33,Private,230883,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,2824,48,United-States,>50K +45,Private,149224,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,50,United-States,<=50K +35,Private,122493,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,441227,11th,7,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,60,United-States,<=50K +45,Local-gov,272792,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,50,United-States,>50K +41,Private,303521,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,4650,0,45,United-States,<=50K +40,Private,226027,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K +36,Private,94565,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +65,Self-emp-not-inc,336848,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,162688,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +30,State-gov,45737,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +60,?,147393,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K +52,Private,335997,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,7688,0,38,United-States,>50K +26,Private,96645,Doctorate,16,Never-married,Craft-repair,Other-relative,Black,Male,0,0,20,United-States,<=50K +35,State-gov,43712,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K +45,Private,101825,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,5721,0,45,United-States,<=50K +45,Private,102318,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +40,State-gov,132125,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +31,Self-emp-inc,229741,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1579,45,United-States,<=50K +60,State-gov,265201,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +47,?,332884,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,>50K +39,Private,179481,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,304833,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +31,Private,341632,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,46,United-States,<=50K +21,Private,140001,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,159123,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +33,Private,229636,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +35,Private,34996,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +53,Self-emp-not-inc,67198,7th-8th,4,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,80,United-States,<=50K +65,Self-emp-inc,323636,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,10605,0,40,United-States,>50K +45,Private,182689,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K +25,Private,51392,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,177905,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +36,Private,143152,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +37,State-gov,211286,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +33,Private,217962,Some-college,10,Never-married,Machine-op-inspct,Unmarried,Black,Male,0,0,40,?,<=50K +48,Private,309212,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,Germany,<=50K +19,?,97261,Some-college,10,Never-married,?,Own-child,White,Male,594,0,30,United-States,<=50K +46,Self-emp-not-inc,188273,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,15024,0,50,United-States,>50K +21,Private,93977,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +62,Self-emp-inc,163234,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,55,United-States,>50K +50,Local-gov,166423,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +33,Private,239071,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,46,United-States,<=50K +40,Private,190292,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +38,Private,170783,Assoc-voc,11,Divorced,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +28,Private,239539,HS-grad,9,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,45,United-States,<=50K +48,Private,164200,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +52,Private,177647,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,47,United-States,<=50K +44,Self-emp-not-inc,86750,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,4508,0,72,United-States,<=50K +25,Private,176981,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +59,Federal-gov,134153,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Black,Male,7298,0,38,United-States,>50K +35,Private,245372,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,168236,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,448841,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +44,Self-emp-inc,144778,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,8614,0,50,United-States,>50K +30,Private,155914,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +34,Federal-gov,117362,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Local-gov,82783,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +30,Private,207301,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +41,Private,606347,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +61,Local-gov,149981,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,234972,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +33,Private,437566,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +33,Private,243266,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Dominican-Republic,>50K +31,Private,203408,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +43,Self-emp-not-inc,297510,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +18,Private,211683,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +41,Private,167375,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,52,United-States,<=50K +36,Private,297449,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +42,Self-emp-not-inc,342634,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,Cambodia,<=50K +49,Private,38819,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +18,Private,164571,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Local-gov,122353,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,68,United-States,<=50K +26,Self-emp-not-inc,192652,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Male,0,0,15,United-States,<=50K +25,Private,401241,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,4416,0,25,United-States,<=50K +32,Private,116539,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +37,Private,162834,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Local-gov,226525,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,51,United-States,<=50K +18,Private,219404,5th-6th,3,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,48,Mexico,<=50K +38,Private,33394,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +56,Federal-gov,75804,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,<=50K +58,Self-emp-not-inc,359972,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,>50K +37,Private,201247,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,220109,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +59,Private,118479,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K +45,Private,189123,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +60,Private,495366,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +31,Private,53776,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,375980,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +61,Private,185152,11th,7,Widowed,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +52,Local-gov,230095,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +22,Private,349198,7th-8th,4,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K +41,Private,59916,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,63,United-States,<=50K +32,Private,214150,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +29,Private,255187,Some-college,10,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +28,?,129624,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K +30,Private,274577,Assoc-acdm,12,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +51,Private,257756,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +29,?,1024535,11th,7,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +75,Private,186808,11th,7,Married-civ-spouse,Protective-serv,Husband,Black,Male,6418,0,50,United-States,>50K +46,Private,147519,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,80,United-States,<=50K +53,Private,173630,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +42,Private,136986,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,50,United-States,>50K +41,Private,163287,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,<=50K +25,Private,150804,HS-grad,9,Never-married,Transport-moving,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +27,Private,189565,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +47,Private,165484,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,>50K +53,Private,177727,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +53,Self-emp-inc,190762,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +38,Private,246463,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +42,Private,27661,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K +30,Private,288419,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +57,Local-gov,258641,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +71,Self-emp-not-inc,200540,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,2392,52,United-States,>50K +21,Private,305423,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,148906,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +64,Private,262645,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +21,Private,243368,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,Mexico,<=50K +41,Private,106698,HS-grad,9,Widowed,Transport-moving,Not-in-family,White,Female,13550,0,60,United-States,>50K +22,Private,186365,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Self-emp-inc,304001,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K +38,Self-emp-inc,125645,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +42,Private,111468,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,3325,0,40,United-States,<=50K +32,Private,136331,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K +40,Private,213849,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,138994,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +29,Private,177562,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,3781,0,35,United-States,<=50K +18,Private,36251,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +32,Private,100904,Some-college,10,Separated,Other-service,Unmarried,Other,Female,0,0,70,United-States,<=50K +31,Private,427474,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,2179,35,Mexico,<=50K +37,Private,280549,Bachelors,13,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +34,Private,75454,12th,8,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Private,203488,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +30,Private,49795,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,Private,152710,10th,6,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +28,Local-gov,199172,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,382583,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,127295,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Other,Male,0,0,20,Iran,<=50K +46,Local-gov,274200,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +35,Private,130540,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,1564,40,United-States,>50K +22,Private,117789,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +20,Self-emp-inc,83141,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,18,United-States,<=50K +20,?,229826,Some-college,10,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +36,Self-emp-inc,176837,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,45,United-States,>50K +34,Private,234096,9th,5,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Private,353317,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K +23,Private,302312,HS-grad,9,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K +17,Private,181015,10th,6,Never-married,Other-service,Other-relative,White,Male,0,0,15,United-States,<=50K +36,State-gov,230329,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +48,Private,164984,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +33,Private,229051,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,45,United-States,>50K +41,Private,204415,11th,7,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,48,United-States,<=50K +55,Self-emp-not-inc,319883,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,10,?,>50K +25,Private,185836,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,Private,228516,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,>50K +47,Self-emp-not-inc,242519,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +36,Private,164866,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,33001,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K +21,Private,811615,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,50,United-States,<=50K +43,Local-gov,300099,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,34,United-States,<=50K +46,State-gov,146305,Some-college,10,Divorced,Tech-support,Not-in-family,Other,Female,0,0,48,United-States,<=50K +36,Private,167482,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,65,United-States,<=50K +23,Private,106615,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Female,2176,0,25,United-States,<=50K +32,Private,204663,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,45,United-States,<=50K +40,Private,171234,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,White,Female,0,0,24,United-States,<=50K +42,Private,167174,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,China,>50K +18,?,112137,Some-college,10,Never-married,?,Own-child,Other,Female,0,0,20,?,<=50K +18,Private,116167,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +41,Private,106159,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,14344,0,48,United-States,>50K +52,State-gov,295826,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,1876,50,United-States,<=50K +26,Private,233461,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,53,Mexico,<=50K +57,Private,289605,9th,5,Never-married,Craft-repair,Not-in-family,White,Male,0,1617,35,United-States,<=50K +18,?,348533,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,3,United-States,<=50K +31,Private,197886,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +27,Private,120126,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,75,United-States,>50K +35,Private,61343,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +42,Self-emp-not-inc,116197,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Federal-gov,236503,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +69,Federal-gov,47341,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,5,United-States,<=50K +25,Private,248990,11th,7,Married-civ-spouse,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K +18,Private,190776,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +47,Local-gov,179048,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,213842,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,188274,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,86849,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +41,Self-emp-inc,67671,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Canada,>50K +21,Private,243890,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K +51,Private,279337,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +35,Private,333636,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,?,>50K +58,State-gov,312351,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +43,Local-gov,175935,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,245297,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +49,State-gov,70209,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,14084,0,60,United-States,>50K +47,Local-gov,251588,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +33,Private,176992,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3464,0,40,United-States,<=50K +51,State-gov,87205,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K +43,Private,65545,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,46,United-States,<=50K +22,Private,289579,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,360689,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1628,48,United-States,<=50K +43,Private,57600,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +42,Local-gov,247082,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,50,United-States,>50K +36,Local-gov,188798,11th,7,Separated,Prof-specialty,Unmarried,Other,Female,0,0,30,United-States,<=50K +19,Private,232261,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +19,?,35507,Some-college,10,Never-married,?,Own-child,White,Female,1055,0,40,United-States,<=50K +26,Private,301298,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +38,Private,27016,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,43,United-States,<=50K +60,Private,166789,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,1408,50,United-States,<=50K +23,Private,94071,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,117767,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,18,United-States,<=50K +41,Private,219155,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Italy,<=50K +20,Private,34616,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,112341,Assoc-voc,11,Married-spouse-absent,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +28,Private,220656,11th,7,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +53,Private,239990,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +36,Private,139180,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +52,Private,215656,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,60,United-States,<=50K +43,State-gov,157999,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +23,Private,41763,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +39,Private,299725,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,37,United-States,<=50K +32,Private,198813,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +32,Private,431551,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,Mexico,<=50K +22,Private,195767,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +26,Private,140649,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,295706,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K +32,Private,324284,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,352426,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,60,Mexico,<=50K +39,Private,126569,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,?,<=50K +81,Private,106390,5th-6th,3,Widowed,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,6,United-States,<=50K +29,Private,134813,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +65,Private,95644,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Private,254148,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +44,Private,367819,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +30,Private,162370,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +55,Self-emp-not-inc,204387,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +60,Federal-gov,248288,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,175070,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,75,United-States,<=50K +51,Local-gov,169182,7th-8th,4,Divorced,Other-service,Unmarried,White,Female,0,0,40,Columbia,<=50K +38,Self-emp-not-inc,223242,Some-college,10,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +29,State-gov,461929,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,40,United-States,>50K +25,Self-emp-not-inc,114483,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K +45,Private,260543,Masters,14,Widowed,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Female,0,0,40,China,<=50K +27,Private,237466,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +57,Private,335605,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +31,Private,169122,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,28,United-States,<=50K +49,Private,176907,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +26,Private,264300,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,159187,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +55,Private,303090,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,45,United-States,<=50K +33,Private,393702,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +19,?,177923,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K +21,Private,191265,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,215074,Some-college,10,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +19,Private,30597,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +35,Self-emp-not-inc,28996,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,188069,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +55,Private,53481,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,>50K +37,Private,410034,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +64,Private,64544,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,12,United-States,<=50K +46,Private,204379,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,37,United-States,<=50K +23,Private,255252,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,178037,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,Ireland,<=50K +26,Private,184303,5th-6th,3,Married-spouse-absent,Priv-house-serv,Other-relative,White,Female,0,0,8,El-Salvador,<=50K +20,Private,175800,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +88,Self-emp-not-inc,263569,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,6418,0,40,United-States,>50K +42,Private,234508,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +50,Self-emp-not-inc,195372,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K +48,Private,265295,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,70,United-States,<=50K +40,Private,184846,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,5178,0,40,United-States,>50K +47,Private,185400,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K +32,Private,360689,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +39,Private,200598,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +38,Private,227615,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +25,Private,308144,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +44,Private,259674,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,5178,0,60,United-States,>50K +41,Private,182217,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,30,United-States,<=50K +28,Private,230997,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,60,United-States,<=50K +31,Private,393702,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Female,0,0,36,United-States,<=50K +57,Self-emp-not-inc,130957,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,70,United-States,>50K +20,Private,210444,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,25,United-States,<=50K +36,?,172775,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,>50K +53,Self-emp-inc,167914,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,1876,50,United-States,<=50K +71,Private,533660,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Private,205997,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,21,United-States,<=50K +34,Private,253616,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +49,Private,148549,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +54,Local-gov,113649,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,233322,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Self-emp-not-inc,325775,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,15,United-States,<=50K +30,Private,94235,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +47,Local-gov,336274,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,147510,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +48,Private,191389,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K +35,Private,174503,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,160968,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,122797,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,52263,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,249282,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +27,Self-emp-not-inc,227332,Bachelors,13,Never-married,Sales,Other-relative,Asian-Pac-Islander,Male,0,0,50,?,<=50K +37,Local-gov,289238,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,153790,Assoc-acdm,12,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +43,Local-gov,101563,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,176240,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +56,Private,131608,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Ireland,>50K +27,Private,198286,Some-college,10,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Self-emp-not-inc,222204,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,3325,0,40,United-States,<=50K +47,Self-emp-not-inc,148169,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,347867,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K +40,Private,170413,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,1741,40,United-States,<=50K +33,Private,133861,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,62,United-States,<=50K +50,Federal-gov,289572,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +44,Local-gov,445382,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7688,0,40,United-States,>50K +42,Self-emp-not-inc,151809,HS-grad,9,Divorced,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K +49,Private,368355,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,>50K +43,Private,73333,Prof-school,15,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,32,United-States,<=50K +41,Private,117585,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1977,50,United-States,>50K +21,Private,107960,Some-college,10,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,20,China,<=50K +29,Private,196117,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +38,Self-emp-not-inc,126569,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,60,United-States,<=50K +25,Private,216741,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +75,Private,254167,10th,6,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,60,United-States,<=50K +52,Private,102444,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,38848,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,55360,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Male,0,0,40,United-States,<=50K +17,Private,140117,11th,7,Never-married,Sales,Own-child,White,Female,0,0,14,United-States,<=50K +36,Self-emp-not-inc,66883,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +52,Self-emp-not-inc,154728,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,?,184756,Bachelors,13,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +48,Private,193047,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +54,Private,231342,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,0,0,32,United-States,<=50K +27,Private,310483,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +38,Federal-gov,174778,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,1980,40,United-States,<=50K +44,Federal-gov,130749,Bachelors,13,Separated,Exec-managerial,Unmarried,Black,Female,0,0,60,United-States,<=50K +38,Private,22463,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,45,United-States,>50K +29,Private,159473,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +63,Private,81605,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +51,State-gov,68684,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +22,?,229799,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,45,?,<=50K +17,Private,124661,11th,7,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +39,Private,117381,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +30,Private,53206,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,47,United-States,>50K +52,Private,172962,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +24,?,243923,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,10,Mexico,<=50K +72,Private,132753,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,15,United-States,<=50K +43,Private,67339,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,15,United-States,<=50K +71,Private,101577,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,1668,20,United-States,<=50K +39,Private,101192,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +51,State-gov,42901,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,>50K +43,Private,88787,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +39,Private,306504,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +30,?,183746,HS-grad,9,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +19,Self-emp-not-inc,242965,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K +52,Private,427475,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,<=50K +60,Self-emp-inc,180512,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +30,Private,97723,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +60,Private,208915,HS-grad,9,Widowed,Craft-repair,Other-relative,Asian-Pac-Islander,Female,0,0,40,Cambodia,<=50K +40,Local-gov,189189,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,<=50K +49,Self-emp-inc,327258,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1977,60,China,>50K +31,Private,254494,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Male,0,0,40,United-States,<=50K +23,Private,105577,Some-college,10,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,26,United-States,<=50K +34,Private,215124,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,192936,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +35,Private,274158,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,3103,0,40,United-States,>50K +19,Private,318822,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,171889,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,68,United-States,<=50K +17,Private,94492,11th,7,Never-married,Sales,Own-child,White,Female,0,0,19,United-States,<=50K +17,Private,73820,12th,8,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K +38,Private,32989,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,197382,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +35,Private,164526,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Self-emp-inc,153205,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,70,India,>50K +40,Private,269168,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K +43,Local-gov,126847,Masters,14,Married-spouse-absent,Prof-specialty,Unmarried,White,Female,7430,0,60,United-States,>50K +50,State-gov,211112,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K +29,Private,100049,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +48,State-gov,104542,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +59,Private,186479,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +22,Private,225272,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K +51,Private,346871,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +29,Private,142712,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +41,Private,46221,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Male,4787,0,60,United-States,>50K +47,Private,349151,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +31,Private,111883,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +32,Private,46691,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,291789,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,50,United-States,<=50K +45,Private,201699,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1628,40,United-States,<=50K +24,Federal-gov,219262,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +60,Self-emp-inc,160079,Masters,14,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +58,Private,193374,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Male,0,1719,40,United-States,<=50K +37,?,111268,Assoc-voc,11,Never-married,?,Own-child,White,Female,0,0,32,United-States,<=50K +19,Private,410632,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +35,Local-gov,33943,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Other,Male,0,0,40,United-States,>50K +44,Federal-gov,269792,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,43,United-States,<=50K +46,Private,153328,Some-college,10,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K +47,Private,162859,HS-grad,9,Divorced,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +19,?,258664,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +80,Private,22406,Bachelors,13,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,65624,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,<=50K +43,Private,326232,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +28,Private,363257,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,50,United-States,<=50K +35,Private,51700,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,19678,Bachelors,13,Married-AF-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,0,60,Philippines,>50K +21,Private,109199,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K +26,State-gov,36741,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +41,Private,347653,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,37514,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K +48,Private,355781,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K +46,Private,86709,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,45,United-States,<=50K +44,Self-emp-not-inc,22933,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +56,Self-emp-inc,83922,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,84,United-States,<=50K +27,Federal-gov,182637,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,?,>50K +57,Private,80149,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,Germany,>50K +60,Self-emp-not-inc,231770,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,>50K +60,?,116746,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +30,Self-emp-not-inc,189759,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +40,Self-emp-inc,46221,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,99999,0,55,United-States,>50K +58,State-gov,198145,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,35864,Bachelors,13,Never-married,Sales,Not-in-family,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K +44,Federal-gov,259307,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +46,Private,129007,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,41,United-States,>50K +33,Private,169104,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K +37,Private,198097,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +21,Local-gov,224640,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +17,?,35603,11th,7,Never-married,?,Own-child,White,Female,0,0,16,United-States,<=50K +47,Self-emp-not-inc,85982,Masters,14,Never-married,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,0,0,60,United-States,<=50K +39,Private,230467,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,Germany,<=50K +32,Self-emp-not-inc,168782,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K +24,Private,142566,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K +30,Federal-gov,195337,HS-grad,9,Never-married,Adm-clerical,Unmarried,Other,Female,1506,0,45,United-States,<=50K +24,?,99829,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +40,Private,133456,HS-grad,9,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,24,United-States,>50K +28,Local-gov,133136,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +25,Private,211531,12th,8,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,243867,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,45,United-States,<=50K +47,Local-gov,284871,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +37,Federal-gov,188563,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,1876,40,United-States,<=50K +61,Private,173866,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +23,Private,114939,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K +30,Private,259425,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,59159,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,189439,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,38,United-States,<=50K +56,Private,157786,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,>50K +41,Self-emp-inc,289636,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,<=50K +49,Self-emp-inc,154174,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +56,Private,70857,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,183000,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,>50K +37,Private,123104,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +21,State-gov,254620,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,16,United-States,<=50K +33,Local-gov,156464,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +60,Private,124987,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K +41,Private,413720,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,15,United-States,<=50K +33,Private,169886,12th,8,Separated,Other-service,Unmarried,White,Female,0,0,50,Dominican-Republic,<=50K +31,Private,228873,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,110622,Masters,14,Divorced,Exec-managerial,Other-relative,Asian-Pac-Islander,Female,0,0,40,South,<=50K +31,?,170513,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,99,United-States,<=50K +21,?,221418,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +65,Private,151287,Masters,14,Separated,Exec-managerial,Not-in-family,Black,Male,0,0,20,United-States,<=50K +25,Private,235218,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,111567,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,251603,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +61,Private,136109,11th,7,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +29,Private,178610,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,21,United-States,<=50K +22,Private,192289,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,Puerto-Rico,<=50K +30,Private,49325,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,>50K +52,Private,229375,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,125791,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,75619,HS-grad,9,Divorced,Transport-moving,Other-relative,White,Male,0,0,60,United-States,<=50K +60,Private,247483,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,289448,Masters,14,Never-married,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,China,>50K +22,?,122048,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +21,Private,177940,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Self-emp-not-inc,399088,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,1340,45,United-States,<=50K +38,Private,108293,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +60,Private,178249,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1887,40,United-States,>50K +24,Local-gov,52262,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,143046,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,99999,0,50,United-States,>50K +59,Private,124318,HS-grad,9,Divorced,Exec-managerial,Other-relative,White,Female,0,0,45,United-States,<=50K +52,Federal-gov,57855,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +50,Private,355954,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +28,Private,143582,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,South,<=50K +30,Private,220915,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +43,Private,172025,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,109813,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,3137,0,40,United-States,<=50K +45,Private,175600,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +26,Private,389856,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Mexico,<=50K +41,Self-emp-not-inc,167081,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,55,United-States,>50K +43,Self-emp-inc,179228,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K +23,?,214542,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,42,United-States,<=50K +31,Private,1210504,10th,6,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +55,Private,426263,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,146225,10th,6,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,240810,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,100113,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2051,40,United-States,<=50K +22,Private,214542,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,41506,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +24,Private,200121,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +55,Private,199919,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,15,United-States,<=50K +22,Private,60668,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,208347,11th,7,Never-married,Machine-op-inspct,Not-in-family,Other,Female,0,0,40,Puerto-Rico,<=50K +42,State-gov,184105,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,>50K +27,Private,255979,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +51,Self-emp-inc,251585,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,132222,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Private,164733,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,327902,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3908,0,50,United-States,<=50K +30,Private,262092,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +23,Private,299047,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Self-emp-not-inc,146735,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +43,Private,154568,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,>50K +37,Private,160916,7th-8th,4,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +33,Private,161444,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +32,State-gov,246282,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,2961,0,99,?,<=50K +20,?,147031,Some-college,10,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K +42,Private,220531,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K +22,Private,282202,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,Mexico,<=50K +26,Private,122485,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,4416,0,40,United-States,<=50K +32,Private,227012,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +67,Private,116502,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +51,Private,163606,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +18,Private,211413,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +33,?,171637,HS-grad,9,Married-civ-spouse,?,Own-child,White,Female,0,0,20,United-States,<=50K +57,Self-emp-not-inc,204387,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,10,United-States,>50K +24,?,214542,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,60,United-States,<=50K +29,Private,70100,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,Portugal,<=50K +42,Private,96115,Bachelors,13,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,181758,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +74,?,278557,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K +34,Federal-gov,168931,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Other,Female,0,0,40,United-States,>50K +27,Private,397962,10th,6,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,30,United-States,<=50K +28,Private,113922,HS-grad,9,Separated,Transport-moving,Own-child,White,Female,0,0,17,United-States,<=50K +17,Private,318025,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,20,United-States,<=50K +24,Private,287357,11th,7,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +40,Self-emp-not-inc,33219,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +81,Self-emp-inc,51646,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,2174,35,United-States,>50K +47,Federal-gov,51664,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3908,0,40,United-States,<=50K +29,Private,195721,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,255575,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +31,Private,200835,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K +22,?,140414,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,165579,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K +37,Private,38948,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +35,Private,184685,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K +23,Private,86939,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K +22,Private,215251,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,Germany,<=50K +53,Private,151159,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,385266,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +68,Self-emp-inc,289349,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,9386,0,70,Germany,>50K +19,Private,232060,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +28,Private,290429,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +45,Private,179048,12th,8,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,?,>50K +57,Self-emp-not-inc,98466,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,16,United-States,<=50K +51,Local-gov,142801,Masters,14,Widowed,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,>50K +68,Self-emp-inc,119938,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +39,Private,172186,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,5013,0,40,United-States,<=50K +45,Local-gov,198759,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,40,United-States,>50K +45,State-gov,74305,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +80,Self-emp-inc,120796,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +55,Local-gov,190091,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +23,Private,197286,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +45,State-gov,129499,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,30875,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,>50K +45,Self-emp-not-inc,172822,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,3411,0,40,United-States,<=50K +34,Private,107417,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Local-gov,226902,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +21,Private,86557,Some-college,10,Never-married,Sales,Other-relative,Other,Female,0,0,30,United-States,<=50K +35,Private,98900,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Local-gov,38707,Bachelors,13,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K +39,Private,286730,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +17,Private,221797,12th,8,Never-married,Adm-clerical,Own-child,White,Female,594,0,20,United-States,<=50K +52,?,175029,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,80,United-States,<=50K +49,?,32184,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,5013,0,15,United-States,<=50K +31,Federal-gov,144949,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +48,Federal-gov,33084,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,>50K +30,Private,156464,Some-college,10,Never-married,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K +38,Private,152307,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,>50K +32,Private,341954,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,1741,45,?,<=50K +24,Private,235720,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K +47,Private,161187,12th,8,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +56,Private,90017,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Portugal,<=50K +59,Private,192671,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K +39,Self-emp-not-inc,102178,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +22,Private,293136,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +17,Local-gov,99568,10th,6,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K +66,Self-emp-not-inc,81413,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K +39,Private,31053,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +18,Private,31008,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Private,221801,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +26,Federal-gov,76491,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K +64,Private,286732,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,17,United-States,<=50K +48,Self-emp-not-inc,196707,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K +51,Federal-gov,23698,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +61,Private,224699,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,>50K +22,Private,131291,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,15,United-States,<=50K +19,?,372665,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +44,Private,64506,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K +47,Private,139388,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +29,Private,425830,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,99146,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +37,State-gov,59200,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +21,Private,37482,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +34,Private,188798,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K +56,Private,100285,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K +31,State-gov,228446,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,19491,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,2202,0,40,United-States,<=50K +28,Private,156967,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Federal-gov,187581,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,>50K +56,Private,154490,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +30,Private,101345,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Local-gov,150533,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,46,United-States,<=50K +33,Private,93213,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +57,Private,257046,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,421837,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +41,Private,101593,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +42,Private,122215,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +49,Private,272780,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,60,Mexico,>50K +24,Private,190591,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +30,Private,78374,HS-grad,9,Married-civ-spouse,Sales,Other-relative,Asian-Pac-Islander,Female,0,0,40,?,<=50K +30,?,121468,Bachelors,13,Married-civ-spouse,?,Wife,Asian-Pac-Islander,Female,0,0,40,Hong,<=50K +31,Private,280927,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +25,Private,202480,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +47,Private,110088,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +58,?,129632,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,4,United-States,<=50K +37,Self-emp-not-inc,225860,Assoc-acdm,12,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +25,Private,310545,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,30,El-Salvador,<=50K +31,Private,178664,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +46,Self-emp-not-inc,198759,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +20,Private,259301,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +31,Private,234537,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K +63,Private,427770,12th,8,Divorced,Priv-house-serv,Unmarried,Black,Female,0,0,30,United-States,<=50K +19,?,331702,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +20,?,180052,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +54,Private,205337,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +17,Private,236091,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,8,United-States,<=50K +40,Private,33895,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,?,447210,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +27,Private,226441,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K +41,State-gov,119721,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +32,Self-emp-not-inc,455995,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +35,Private,105813,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +24,?,350917,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +42,State-gov,191814,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +65,Private,399296,5th-6th,3,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,20,Mexico,<=50K +47,Private,201595,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +41,Private,143003,Masters,14,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,1887,45,China,>50K +28,Private,74784,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K +20,?,313045,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,303781,Some-college,10,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +23,Private,236769,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +28,Self-emp-not-inc,264961,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +59,Private,144962,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +59,Local-gov,435836,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,>50K +46,Private,186539,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,48,United-States,>50K +23,Private,181796,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +47,Local-gov,398397,Masters,14,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,196280,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,0,0,38,United-States,<=50K +37,Federal-gov,31670,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +49,Self-emp-inc,65535,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +48,Local-gov,97680,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,10,United-States,>50K +57,Self-emp-not-inc,47178,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K +24,Self-emp-not-inc,151818,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +40,Private,304530,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,197651,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +64,Private,108054,HS-grad,9,Widowed,Transport-moving,Not-in-family,White,Male,0,0,22,United-States,<=50K +44,Private,179666,Some-college,10,Divorced,Transport-moving,Unmarried,White,Male,0,0,35,England,<=50K +45,Private,142909,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +24,Private,231261,12th,8,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +42,State-gov,119008,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,Black,Female,0,1974,40,United-States,<=50K +27,Private,168138,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K +54,Private,217850,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K +50,Self-emp-not-inc,343242,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +19,?,167087,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +27,Private,200179,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +35,Private,172252,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,132879,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K +21,Private,240063,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,48,United-States,<=50K +19,Private,425816,Some-college,10,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +39,Local-gov,167571,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,2885,0,30,United-States,<=50K +39,Private,85566,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,123799,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,42,United-States,<=50K +28,Private,194690,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,266347,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,68268,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +59,Self-emp-inc,145574,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +29,Private,128666,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,119411,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +38,Private,276552,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +22,?,305423,Some-college,10,Never-married,?,Own-child,White,Male,0,0,36,United-States,<=50K +38,Federal-gov,104236,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,1471,0,40,United-States,<=50K +48,?,136455,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,16,United-States,<=50K +71,Self-emp-not-inc,139889,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,>50K +39,Local-gov,102953,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +36,?,320183,11th,7,Never-married,?,Own-child,Black,Male,0,0,24,United-States,<=50K +47,Private,83407,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,84,United-States,>50K +22,?,118910,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,43,United-States,<=50K +41,Private,99254,Masters,14,Divorced,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K +43,State-gov,198766,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +20,Private,191832,12th,8,Never-married,Other-service,Unmarried,White,Male,0,0,40,?,<=50K +23,Private,146178,HS-grad,9,Separated,Adm-clerical,Other-relative,White,Male,0,0,46,United-States,<=50K +35,Private,132879,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +44,Private,94706,Bachelors,13,Married-spouse-absent,Sales,Unmarried,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K +48,Local-gov,273767,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,40,United-States,>50K +43,Self-emp-not-inc,204235,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +62,?,181782,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K +39,State-gov,144860,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,185832,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K +81,Private,55314,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,4,United-States,>50K +44,Private,200194,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,339772,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +54,Private,159755,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +24,Private,200207,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,31493,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,30,United-States,<=50K +31,Private,168981,HS-grad,9,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K +20,Private,201729,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,33,United-States,<=50K +30,Self-emp-not-inc,105749,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +56,Federal-gov,101847,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,4064,0,40,United-States,<=50K +46,Private,110646,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,56,United-States,<=50K +34,Private,139753,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,2174,0,50,United-States,<=50K +25,Private,255004,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +34,Private,341954,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +43,Private,124330,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,46,United-States,<=50K +46,Private,64563,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,45,United-States,>50K +32,Self-emp-not-inc,29254,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K +25,?,182810,Some-college,10,Never-married,?,Not-in-family,White,Female,0,1564,37,United-States,>50K +33,?,139051,11th,7,Separated,?,Unmarried,Black,Female,0,0,53,United-States,<=50K +31,Private,151053,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,34,United-States,<=50K +66,Self-emp-inc,45702,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +26,?,138685,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,164193,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +73,Private,109651,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,30,United-States,<=50K +30,Private,126364,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +31,Private,328199,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,2354,0,40,United-States,<=50K +44,Self-emp-not-inc,180096,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,20,United-States,<=50K +23,Private,197613,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,170195,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +48,Federal-gov,56482,10th,6,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +53,Private,23686,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,1741,40,United-States,<=50K +62,State-gov,200916,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +44,Private,160261,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,2377,35,Hong,<=50K +21,Private,129232,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +22,Local-gov,249727,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +35,State-gov,106448,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +61,Local-gov,313852,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,213722,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,Greece,<=50K +29,Private,120645,Assoc-acdm,12,Married-civ-spouse,Tech-support,Wife,Black,Female,0,0,40,United-States,<=50K +78,?,167336,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K +21,Self-emp-not-inc,199419,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,50,United-States,<=50K +23,Private,132053,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,311570,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Female,0,0,35,United-States,<=50K +30,Private,187203,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +76,Private,201240,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +51,Private,150999,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +30,Self-emp-not-inc,24961,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Local-gov,152021,11th,7,Divorced,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K +20,Private,374116,11th,7,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +73,Private,35370,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K +38,Private,65291,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,24,United-States,<=50K +71,?,283889,HS-grad,9,Married-spouse-absent,?,Not-in-family,Black,Male,0,1816,40,United-States,<=50K +36,Self-emp-not-inc,48585,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,4,United-States,<=50K +26,Private,132661,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +52,Private,267583,10th,6,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +50,Private,313297,5th-6th,3,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,Mexico,<=50K +66,Private,290578,7th-8th,4,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,246038,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +42,Federal-gov,125461,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Male,0,323,40,United-States,<=50K +56,Self-emp-not-inc,206149,7th-8th,4,Never-married,Other-service,Unmarried,Black,Female,0,0,58,United-States,<=50K +59,Local-gov,205718,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,24,Canada,<=50K +37,Private,241153,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +49,Private,186706,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,7688,0,40,United-States,>50K +60,Private,216574,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +46,Private,49570,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,State-gov,82161,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,>50K +44,Private,191268,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K +31,Private,59469,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,197947,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,58,United-States,<=50K +35,Private,180131,Bachelors,13,Separated,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +17,Private,156732,11th,7,Never-married,Other-service,Other-relative,White,Female,0,0,20,United-States,<=50K +22,Private,415755,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,228254,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,37,United-States,<=50K +28,Self-emp-not-inc,414599,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,21,Guatemala,<=50K +35,Private,357173,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +49,?,111282,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,4386,0,99,United-States,>50K +38,Private,174308,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,48,United-States,<=50K +49,Federal-gov,61885,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +42,Private,123838,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +53,Private,119170,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,1740,40,United-States,<=50K +59,Private,219426,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +18,Self-emp-inc,184920,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,25,United-States,<=50K +39,Local-gov,187385,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,28,United-States,>50K +26,Private,234258,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +24,Private,387663,Some-college,10,Married-spouse-absent,Farming-fishing,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Private,151817,Masters,14,Separated,Tech-support,Unmarried,White,Female,0,0,36,United-States,<=50K +34,Private,187203,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K +27,Local-gov,67187,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Female,0,0,33,United-States,<=50K +48,Private,194526,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +20,Private,73266,Some-college,10,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,340755,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K +26,Private,168552,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Self-emp-inc,188069,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K +27,Private,198587,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,60,United-States,<=50K +21,State-gov,33423,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +40,Federal-gov,190910,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +47,Private,195963,7th-8th,4,Never-married,Transport-moving,Not-in-family,Other,Male,0,0,48,Puerto-Rico,<=50K +24,Private,345066,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Female,0,0,50,United-States,<=50K +43,Private,195258,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +44,Private,262233,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,47,United-States,<=50K +56,Private,78707,9th,5,Married-civ-spouse,Other-service,Wife,White,Female,4508,0,28,United-States,<=50K +53,Self-emp-inc,251240,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,50,United-States,>50K +36,Self-emp-not-inc,414056,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +56,Local-gov,174564,12th,8,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,236242,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,1590,40,United-States,<=50K +31,Private,31286,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,234476,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,7,United-States,<=50K +26,Private,414916,HS-grad,9,Never-married,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K +40,Private,223881,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K +21,Private,284651,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +35,Private,38948,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K +33,Private,157887,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +59,Private,70796,HS-grad,9,Married-civ-spouse,Priv-house-serv,Wife,Black,Female,0,0,15,United-States,<=50K +49,Local-gov,97176,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,47,United-States,<=50K +54,Private,146834,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,490645,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,2829,0,42,United-States,<=50K +61,State-gov,31577,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +33,Private,145437,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,43,United-States,<=50K +36,State-gov,21798,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,15024,0,40,Germany,>50K +57,Private,142076,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,40,United-States,>50K +22,Private,136230,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,184169,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K +23,Private,175778,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +46,Local-gov,59174,HS-grad,9,Widowed,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,33,United-States,<=50K +49,Private,123713,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +67,?,222362,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,>50K +51,Private,108435,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,39182,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +33,Local-gov,203051,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,46,United-States,<=50K +45,Federal-gov,363418,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +27,Local-gov,113054,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,0,0,32,United-States,<=50K +27,Local-gov,163320,Assoc-acdm,12,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,118710,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Private,170066,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,135267,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +24,Private,361278,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +59,Self-emp-not-inc,165867,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K +33,Private,300497,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +49,State-gov,255928,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,27305,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,29933,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,265434,11th,7,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +18,Private,145643,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,9,United-States,<=50K +31,?,162041,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K +30,Private,119562,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3942,0,40,United-States,<=50K +29,Private,115549,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,2635,0,40,United-States,<=50K +50,Private,39590,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,United-States,>50K +24,Private,97676,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,34973,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,312446,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Federal-gov,88909,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +36,Private,117381,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +34,Self-emp-inc,513977,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,50,United-States,<=50K +38,Federal-gov,39089,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,6849,0,50,United-States,<=50K +32,Private,341672,Bachelors,13,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,2174,0,45,Taiwan,<=50K +31,Local-gov,400535,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,United-States,<=50K +34,Self-emp-not-inc,338042,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +49,Private,216734,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +54,Self-emp-not-inc,224207,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,6849,0,50,United-States,<=50K +58,Private,107897,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +28,Private,205903,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,191754,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +26,Private,216225,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,>50K +33,Private,125762,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,201062,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,Black,Female,0,0,40,Jamaica,<=50K +53,Local-gov,25820,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Male,0,0,48,United-States,<=50K +33,Private,553405,Assoc-voc,11,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +45,Federal-gov,78022,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +27,Private,207631,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,52,Mexico,<=50K +35,Private,203988,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +47,Private,122194,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +17,Private,318918,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,30,United-States,<=50K +55,Self-emp-inc,264453,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Male,0,0,30,United-States,<=50K +28,Self-emp-not-inc,183523,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +46,Self-emp-not-inc,98881,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +18,Private,184101,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,6,United-States,<=50K +43,Local-gov,135056,HS-grad,9,Separated,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,<=50K +60,Self-emp-not-inc,71457,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,4508,0,8,United-States,<=50K +55,Self-emp-not-inc,96459,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1887,70,United-States,>50K +52,Private,134184,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,2597,0,36,United-States,<=50K +40,Private,153132,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,31,United-States,<=50K +52,Private,173991,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,<=50K +27,Federal-gov,96219,HS-grad,9,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +44,Private,152744,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +56,Private,182142,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,48915,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,24126,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Local-gov,263984,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,Puerto-Rico,<=50K +42,Local-gov,118261,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K +63,Private,106141,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +48,State-gov,355320,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,15,Germany,>50K +19,?,497414,7th-8th,4,Never-married,?,Not-in-family,White,Female,0,0,35,Mexico,<=50K +41,Private,118915,Bachelors,13,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,75885,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +26,State-gov,93806,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,25,United-States,<=50K +33,Local-gov,255058,Bachelors,13,Divorced,Prof-specialty,Own-child,White,Male,0,2339,40,United-States,<=50K +41,Private,120277,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,120046,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K +26,Private,209384,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +35,Local-gov,742903,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-inc,147869,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +21,?,208117,10th,6,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +64,Private,268965,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,22,United-States,<=50K +32,Private,41210,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,128378,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +22,Private,131291,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K +35,Private,187046,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +53,Private,221672,12th,8,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +29,Self-emp-not-inc,70100,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K +23,Private,199586,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,243743,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +20,State-gov,375931,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K +42,Private,139012,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,>50K +45,Private,167617,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +77,Private,88269,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +32,Private,70377,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,431745,Some-college,10,Never-married,Other-service,Not-in-family,Black,Female,0,0,10,United-States,<=50K +32,Private,72967,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,>50K +41,Private,174373,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K +42,Private,145178,HS-grad,9,Separated,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K +23,?,138938,HS-grad,9,Married-civ-spouse,?,Own-child,White,Female,0,0,3,United-States,<=50K +26,Local-gov,113948,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,0,0,48,United-States,<=50K +66,Private,135446,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,43711,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +40,Private,137304,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,65,United-States,<=50K +21,Private,180690,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,135384,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +48,Private,178137,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,44,United-States,<=50K +62,Self-emp-not-inc,113440,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +45,Private,110243,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +42,Self-emp-inc,165981,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +20,Private,246635,Some-college,10,Never-married,Sales,Own-child,White,Female,2597,0,20,United-States,<=50K +30,Private,553405,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +59,Private,137506,9th,5,Widowed,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +22,Private,313730,Assoc-acdm,12,Never-married,Farming-fishing,Not-in-family,Black,Female,0,0,40,United-States,<=50K +23,Federal-gov,102684,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,<=50K +55,Private,265579,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,2354,0,40,United-States,<=50K +58,Private,101338,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Greece,>50K +67,Private,188903,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +51,Private,231919,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +38,?,139770,Masters,14,Married-civ-spouse,?,Wife,White,Female,0,0,48,United-States,>50K +37,Private,253006,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +34,Private,258425,Assoc-voc,11,Never-married,Sales,Not-in-family,Amer-Indian-Eskimo,Male,2597,0,45,United-States,<=50K +49,Private,168837,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +46,Private,177536,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,60,United-States,<=50K +29,Private,168524,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Self-emp-inc,108551,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +38,Self-emp-not-inc,180477,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,37,United-States,>50K +58,Self-emp-not-inc,162970,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,104196,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,<=50K +34,Private,329288,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,55,United-States,>50K +59,Self-emp-not-inc,39398,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,42,United-States,<=50K +33,Private,70240,Some-college,10,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +17,Private,153021,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,6,United-States,<=50K +29,Local-gov,152461,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,171892,Assoc-acdm,12,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,42,United-States,<=50K +45,Private,128141,11th,7,Separated,Tech-support,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K +68,Private,182574,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,991,0,29,United-States,<=50K +33,Local-gov,189145,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +49,Self-emp-inc,218835,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +46,Local-gov,132994,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,40,United-States,>50K +54,Private,83103,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,67,United-States,<=50K +31,Private,198103,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +25,?,177812,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Self-emp-inc,144154,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,80,United-States,<=50K +56,Private,169086,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,?,>50K +36,Private,140854,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,Portugal,<=50K +20,?,218875,Some-college,10,Never-married,?,Other-relative,White,Female,0,0,20,United-States,<=50K +35,Self-emp-not-inc,187589,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,7,United-States,<=50K +36,Private,112271,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,1902,40,United-States,>50K +27,Private,199118,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K +46,Private,178642,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,United-States,>50K +34,Private,113708,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,59,United-States,>50K +29,Federal-gov,185670,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,303187,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,44,?,>50K +49,Private,209739,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K +52,Self-emp-not-inc,155278,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,119422,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +46,Local-gov,326292,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +35,Private,212512,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +37,Private,33440,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +38,State-gov,185180,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +46,Self-emp-not-inc,504941,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +42,Private,192014,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,24,United-States,<=50K +48,Self-emp-inc,192755,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,Canada,>50K +59,Private,220896,Prof-school,15,Divorced,Other-service,Not-in-family,White,Male,27828,0,60,United-States,>50K +22,Private,189832,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +38,Private,235638,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Female,0,0,40,United-States,<=50K +39,Private,134367,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,43,United-States,<=50K +41,Private,171231,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Peru,<=50K +19,Private,253529,12th,8,Never-married,Adm-clerical,Own-child,White,Male,0,0,9,United-States,<=50K +47,State-gov,210557,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,362835,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +55,Private,186479,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +37,State-gov,115360,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,184806,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +34,Self-emp-not-inc,450141,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,35,United-States,>50K +41,Private,200479,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,152493,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,60,United-States,<=50K +29,Private,135791,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,50,Cuba,>50K +37,Self-emp-not-inc,50096,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +55,Private,173832,Masters,14,Divorced,Sales,Not-in-family,White,Male,10520,0,40,United-States,>50K +52,Private,224198,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,<=50K +57,Private,111553,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +67,Private,191380,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +20,Private,34242,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +58,Private,100054,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,70,United-States,>50K +62,Private,110103,HS-grad,9,Widowed,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K +40,Private,196626,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +66,?,194480,11th,7,Married-civ-spouse,?,Husband,White,Male,0,2377,2,United-States,>50K +26,Private,190040,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +42,Private,152629,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +18,Federal-gov,263162,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,205581,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +50,Private,155434,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +30,Private,415922,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,32,United-States,<=50K +42,Local-gov,221581,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,135089,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,56,United-States,<=50K +47,Private,117774,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Portugal,<=50K +46,Private,206707,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,315640,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,45,Iran,>50K +52,Private,210736,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,United-States,>50K +23,Local-gov,456665,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,133935,Some-college,10,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,106982,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,70,United-States,<=50K +35,Private,126569,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,State-gov,209954,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,State-gov,46401,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,410216,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,410509,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +22,Private,382199,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,84130,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,243380,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +31,Private,329635,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +20,?,265434,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K +23,Private,241752,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,172579,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,<=50K +48,Local-gov,121179,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,52,United-States,<=50K +46,Private,76131,5th-6th,3,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K +57,Private,138777,Bachelors,13,Married-civ-spouse,Protective-serv,Wife,White,Female,0,0,45,Germany,>50K +44,State-gov,195212,Masters,14,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,52,United-States,<=50K +20,Private,315135,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,15,United-States,<=50K +44,Private,248406,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +51,Private,283314,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,40,?,>50K +29,Private,231601,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +71,Self-emp-not-inc,126807,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1411,70,United-States,<=50K +31,Private,198513,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +37,Private,162651,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Columbia,<=50K +90,Private,197613,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K +49,Private,184098,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +46,Local-gov,187505,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,?,<=50K +53,Private,174655,7th-8th,4,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +17,Private,161123,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,32,United-States,<=50K +43,Private,390369,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,Mexico,<=50K +35,Self-emp-not-inc,354520,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,364631,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,Mexico,<=50K +35,Private,323120,Assoc-acdm,12,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,44,United-States,>50K +58,State-gov,32367,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +88,Private,30102,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1816,50,?,<=50K +51,Private,229259,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +31,Private,274818,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Self-emp-inc,248476,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +38,Private,98080,Some-college,10,Never-married,Adm-clerical,Other-relative,Other,Male,0,0,40,India,<=50K +44,Private,56651,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,<=50K +43,Private,216411,1st-4th,2,Never-married,Adm-clerical,Unmarried,White,Female,0,0,30,Dominican-Republic,<=50K +31,Private,226443,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,70,United-States,>50K +21,Private,119039,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,18,United-States,<=50K +25,Private,136277,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +52,Local-gov,149508,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +53,Private,449376,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K +18,Private,143450,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,20,United-States,<=50K +41,Private,227065,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,175801,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,260346,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +37,Private,54159,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,45,United-States,<=50K +24,Private,143246,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Female,2597,0,45,United-States,<=50K +32,Private,115854,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,41,United-States,<=50K +35,Private,138441,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +23,Self-emp-not-inc,149704,10th,6,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +38,Private,22245,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +27,Private,104017,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1628,50,United-States,<=50K +46,Private,165468,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +22,Private,181557,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,35,United-States,<=50K +38,Private,220694,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,>50K +27,Local-gov,190330,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +45,Federal-gov,109209,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +32,Private,187815,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +38,Federal-gov,236648,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,53306,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,418645,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +27,Private,217530,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,45,Mexico,<=50K +19,Private,135066,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +20,Local-gov,38455,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,10,United-States,<=50K +37,Self-emp-not-inc,53553,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,75,United-States,<=50K +18,Private,117857,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +72,Self-emp-not-inc,379376,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +31,Private,191932,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,2258,40,United-States,<=50K +33,Private,234067,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +47,Private,348886,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +46,Private,142490,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +42,?,155190,Bachelors,13,Married-civ-spouse,?,Husband,Black,Male,2580,0,8,United-States,<=50K +22,Private,176178,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,36,United-States,<=50K +53,Private,149220,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +59,Federal-gov,188047,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +36,Private,258102,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,185216,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +61,Private,219701,12th,8,Divorced,Protective-serv,Not-in-family,White,Male,0,0,37,Cuba,<=50K +40,Private,235523,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +35,Private,100375,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,1887,45,United-States,>50K +41,Private,24273,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +23,Private,224115,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +41,Private,187795,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,60,United-States,>50K +26,Private,161007,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,262723,Some-college,10,Never-married,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,33474,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +43,Private,167151,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,60,United-States,<=50K +38,Self-emp-inc,222532,Prof-school,15,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +47,Local-gov,48195,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,72,United-States,<=50K +23,Private,89089,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +35,Local-gov,179151,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +42,Self-emp-not-inc,192589,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +24,Private,236149,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,50,United-States,<=50K +58,Private,110820,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +22,Private,113464,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Other,Male,0,0,40,Dominican-Republic,<=50K +38,Self-emp-not-inc,248929,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +41,Private,257758,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +46,Private,198660,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,195532,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +17,Private,208046,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,16,United-States,<=50K +31,Self-emp-inc,72744,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,30,United-States,<=50K +73,?,65072,10th,6,Never-married,?,Not-in-family,White,Male,0,0,12,United-States,<=50K +27,Private,313479,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,United-States,<=50K +57,Private,262681,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +54,State-gov,305319,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,<=50K +40,Private,158958,HS-grad,9,Never-married,Priv-house-serv,Other-relative,Black,Female,0,0,40,Honduras,<=50K +23,Self-emp-not-inc,47039,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,150057,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +54,State-gov,55861,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,39,United-States,<=50K +32,Self-emp-inc,225053,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,60,United-States,>50K +44,Self-emp-not-inc,136986,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K +36,?,342480,11th,7,Never-married,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K +30,?,335124,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,36,United-States,<=50K +39,Self-emp-not-inc,29874,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,54,United-States,<=50K +36,Private,191146,Some-college,10,Divorced,Sales,Unmarried,Black,Female,0,0,38,United-States,<=50K +65,Private,154164,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,20051,0,20,?,>50K +43,Private,287008,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,397877,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,30,United-States,<=50K +40,Local-gov,108765,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +23,Private,215251,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,55,United-States,<=50K +67,Private,132586,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K +48,Local-gov,328610,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +59,Private,264048,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,>50K +74,?,98867,5th-6th,3,Widowed,?,Not-in-family,Black,Male,0,0,32,United-States,<=50K +36,Private,166289,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +19,Private,186328,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Federal-gov,59948,HS-grad,9,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +41,Private,231793,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Local-gov,487770,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,167536,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,250736,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,99,United-States,<=50K +18,?,197057,10th,6,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +23,Self-emp-not-inc,448026,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +56,Private,217775,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,>50K +22,Federal-gov,154394,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +61,Private,244933,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K +22,Private,155362,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +48,Private,187563,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,54,United-States,>50K +61,?,108398,11th,7,Widowed,?,Unmarried,Black,Female,0,0,9,United-States,<=50K +30,Private,69235,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K +72,Private,174032,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +31,State-gov,174957,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K +71,Self-emp-not-inc,31781,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1510,35,United-States,<=50K +49,Private,278322,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +49,Private,144514,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1887,45,United-States,>50K +41,Private,255824,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +29,Private,443858,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,114066,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,26,United-States,<=50K +30,Private,103860,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,132839,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +51,State-gov,290688,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +45,?,187439,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,2,United-States,<=50K +22,Private,170302,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,1974,45,United-States,<=50K +49,Private,74984,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,94774,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +46,Private,72896,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +55,Self-emp-inc,197749,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1573,44,United-States,<=50K +28,Private,182509,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Self-emp-inc,233117,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +36,Local-gov,102729,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,172706,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Self-emp-inc,295254,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Local-gov,101426,HS-grad,9,Never-married,Protective-serv,Unmarried,Black,Male,0,0,40,United-States,<=50K +75,Private,185603,10th,6,Widowed,Tech-support,Not-in-family,White,Female,0,0,32,United-States,<=50K +53,Private,289620,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,?,>50K +39,Private,179137,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,222199,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +39,Private,320305,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +23,?,111340,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,1573,40,United-States,<=50K +31,Federal-gov,86150,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,5178,0,40,United-States,>50K +60,Private,124648,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,38,United-States,<=50K +30,Private,175761,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,2580,0,40,United-States,<=50K +23,Private,148948,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,230355,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,Cuba,<=50K +55,State-gov,277203,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +77,Self-emp-not-inc,176690,9th,5,Widowed,Other-service,Not-in-family,White,Female,0,0,40,England,<=50K +64,Self-emp-inc,119182,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Greece,<=50K +35,Private,181353,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +19,Private,311293,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,25,United-States,<=50K +17,?,132962,12th,8,Never-married,?,Own-child,Black,Male,0,0,30,United-States,<=50K +45,Private,155478,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,46706,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,<=50K +59,Private,142326,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,220454,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,105779,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +23,Private,362623,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,1573,30,Mexico,<=50K +37,Private,115806,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +29,Private,351324,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,32,United-States,<=50K +29,Private,131712,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,?,181118,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,20,United-States,<=50K +19,?,214087,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,181291,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,Italy,<=50K +44,Private,146908,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +50,Self-emp-inc,262777,Masters,14,Separated,Exec-managerial,Unmarried,Asian-Pac-Islander,Male,0,0,45,China,<=50K +53,Local-gov,394765,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,207335,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +23,Private,133712,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,45,United-States,<=50K +24,State-gov,105479,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,140092,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +37,Private,53232,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,55,United-States,>50K +57,Private,178154,10th,6,Widowed,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,202203,Bachelors,13,Never-married,Adm-clerical,Unmarried,White,Female,0,0,60,United-States,<=50K +50,Private,49340,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Private,106207,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,103064,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Local-gov,79190,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,473449,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +48,Private,189498,11th,7,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,149902,Masters,14,Never-married,Other-service,Unmarried,Black,Female,0,0,28,United-States,<=50K +44,Private,150098,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,50,United-States,>50K +40,Private,100451,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,193094,HS-grad,9,Never-married,Craft-repair,Own-child,White,Female,0,0,48,United-States,<=50K +37,Private,202950,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,161444,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,39,United-States,<=50K +33,Self-emp-not-inc,303867,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K +36,Private,143912,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +29,?,42623,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,32,United-States,<=50K +37,?,145064,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K +53,Private,199287,9th,5,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,9,United-States,<=50K +48,Private,250733,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,372525,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +21,Private,338162,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,37,United-States,<=50K +38,Private,154210,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +55,Private,158702,10th,6,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +29,Private,199118,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,Nicaragua,<=50K +59,Private,104455,Some-college,10,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +42,Self-emp-not-inc,210013,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +22,Private,440934,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K +31,Private,375833,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +41,Private,289551,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,7688,0,40,United-States,>50K +45,Private,272729,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,State-gov,176185,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,155403,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K +47,Federal-gov,239321,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +27,Private,365745,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,20,United-States,<=50K +49,Private,107399,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,93394,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K +34,Self-emp-not-inc,143078,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Local-gov,283314,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1977,40,United-States,>50K +37,Private,194668,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +27,Private,170301,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +31,Self-emp-inc,162442,Masters,14,Never-married,Sales,Own-child,White,Female,27828,0,40,United-States,>50K +24,Private,456430,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +28,Private,337424,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,80,United-States,<=50K +27,Private,160291,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,Germany,<=50K +41,Private,341204,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +28,Private,148084,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,40,Dominican-Republic,<=50K +26,Private,102476,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +17,?,183161,12th,8,Never-married,?,Own-child,White,Female,0,0,8,United-States,<=50K +17,Private,160029,11th,7,Never-married,Sales,Own-child,White,Female,0,0,14,United-States,<=50K +70,Self-emp-not-inc,152066,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +57,Private,175942,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +64,Private,387669,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,179824,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +23,Private,107882,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +18,?,65249,12th,8,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +47,Self-emp-not-inc,267879,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,3103,0,50,United-States,>50K +54,Private,150999,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,<=50K +42,Local-gov,69758,Assoc-acdm,12,Divorced,Protective-serv,Not-in-family,Asian-Pac-Islander,Male,0,0,48,United-States,>50K +23,Private,180795,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +28,Private,257283,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,196344,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,1672,30,Mexico,<=50K +32,Private,155151,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +35,Self-emp-not-inc,368140,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,>50K +17,Private,95079,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +37,?,254773,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,181659,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,?,215620,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,12,United-States,<=50K +29,Private,169104,HS-grad,9,Married-civ-spouse,Exec-managerial,Other-relative,Asian-Pac-Islander,Male,0,0,75,Thailand,<=50K +33,Local-gov,100446,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +46,Private,189680,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +24,Private,376474,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +44,Private,112494,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,?,212491,HS-grad,9,Divorced,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +68,Local-gov,254218,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,24,United-States,<=50K +34,Private,421200,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +19,Private,426589,HS-grad,9,Married-spouse-absent,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +27,Private,335015,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,65,United-States,<=50K +25,Private,78605,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +62,Self-emp-inc,123749,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,90,United-States,<=50K +31,Private,245500,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,25,?,<=50K +32,Private,226443,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +31,Self-emp-not-inc,150630,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +27,Private,257124,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +36,Private,127865,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,4650,0,25,United-States,<=50K +50,Private,27432,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +31,Private,161765,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K +42,Private,42703,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +27,Private,209641,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,93131,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,1055,0,20,China,<=50K +46,Private,191821,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,410009,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,334291,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,2258,40,United-States,<=50K +58,Self-emp-inc,274363,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1977,50,United-States,>50K +17,Private,102456,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +35,State-gov,102268,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K +46,Private,220979,Some-college,10,Divorced,Tech-support,Not-in-family,Amer-Indian-Eskimo,Male,13550,0,40,United-States,>50K +35,?,111377,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,187847,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +22,Private,40052,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,133375,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K +46,Private,226032,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,16,United-States,>50K +27,Private,211032,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,392812,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +34,Federal-gov,174724,Assoc-voc,11,Divorced,Adm-clerical,Own-child,Black,Female,1831,0,40,United-States,<=50K +50,Local-gov,363405,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,42750,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +40,Self-emp-not-inc,174112,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K +65,Self-emp-not-inc,326936,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +39,Self-emp-not-inc,188069,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +48,Private,366089,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +32,Private,162160,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,114937,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,6849,0,40,United-States,<=50K +61,Private,189932,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +57,Private,168447,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,154210,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,1902,45,Japan,>50K +29,Private,211331,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,Mexico,<=50K +57,Private,157749,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +72,Self-emp-inc,84587,5th-6th,3,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,20,Japan,<=50K +27,Private,269246,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,3464,0,45,United-States,<=50K +26,Private,305129,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +63,Private,253556,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Self-emp-inc,229116,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,>50K +45,Private,111381,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K +41,Private,121201,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +26,Local-gov,271836,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,50,United-States,>50K +47,Private,116641,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,4,France,<=50K +37,Private,171524,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,?,<=50K +52,Private,145409,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,174575,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +38,State-gov,149135,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +32,Private,234096,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +32,Local-gov,210973,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +37,Local-gov,269323,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +69,Private,29087,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,6,United-States,<=50K +27,Self-emp-not-inc,177831,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Hungary,<=50K +39,Self-emp-not-inc,167106,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,72,South,<=50K +56,Private,118993,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +26,Private,102875,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,40,India,<=50K +89,?,29106,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +32,Private,101103,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +35,Self-emp-not-inc,135020,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,75,United-States,>50K +26,Private,182390,11th,7,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +53,Private,174102,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +19,?,138153,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +23,Private,162282,Assoc-acdm,12,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,25,United-States,<=50K +51,Private,280292,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +25,Local-gov,307294,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +57,Private,94156,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,84,United-States,>50K +59,?,199033,9th,5,Married-civ-spouse,?,Wife,Black,Female,0,0,32,United-States,<=50K +61,Private,57408,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +41,Private,210922,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,55,?,<=50K +20,Private,138994,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +22,Private,416103,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +42,Private,166740,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,50,United-States,>50K +47,Self-emp-inc,139268,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +21,State-gov,165474,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,30,United-States,<=50K +37,Private,100316,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +28,?,49028,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Self-emp-inc,85566,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K +27,Private,58150,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +55,Self-emp-not-inc,376548,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +20,Private,398166,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +43,Private,86797,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,161819,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K +19,Private,187125,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +30,Private,226535,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,4865,0,40,United-States,<=50K +23,Self-emp-inc,216889,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K +65,Self-emp-not-inc,135517,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,336951,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,State-gov,101603,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +32,Local-gov,205931,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K +40,Federal-gov,105119,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +58,Self-emp-not-inc,200316,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +17,Private,132859,10th,6,Never-married,Other-service,Other-relative,White,Male,0,0,35,United-States,<=50K +57,Private,137031,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +24,Local-gov,184975,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,165539,HS-grad,9,Never-married,Prof-specialty,Not-in-family,Black,Female,4101,0,40,Jamaica,<=50K +26,Private,48099,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,47012,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +60,Local-gov,195409,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,52,United-States,>50K +54,Private,20795,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,State-gov,484879,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Self-emp-not-inc,276087,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K +37,Federal-gov,45937,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,48,United-States,>50K +48,Federal-gov,102359,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +30,Private,186824,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +20,Private,203914,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +30,Self-emp-not-inc,209808,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +22,Private,228516,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +62,Private,49424,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,40,United-States,>50K +25,Private,359067,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +55,Self-emp-not-inc,340171,HS-grad,9,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +19,Private,142037,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +28,Local-gov,157437,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,4650,0,48,United-States,<=50K +47,State-gov,142287,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +35,State-gov,189794,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +37,Private,258289,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,352849,HS-grad,9,Never-married,Sales,Other-relative,Black,Female,0,1719,30,United-States,<=50K +37,Private,162322,Assoc-voc,11,Separated,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,200295,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +26,?,296372,HS-grad,9,Divorced,?,Own-child,White,Female,0,0,40,United-States,<=50K +54,Local-gov,190333,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +40,Self-emp-not-inc,211518,Bachelors,13,Divorced,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +70,Private,264098,10th,6,Widowed,Transport-moving,Not-in-family,White,Female,2538,0,40,United-States,<=50K +43,Private,393762,Some-college,10,Separated,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +49,Local-gov,181970,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-inc,110901,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,55,United-States,>50K +21,Private,92863,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,111368,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +45,?,83601,12th,8,Widowed,?,Unmarried,White,Female,0,0,70,United-States,<=50K +47,Private,164682,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,?,<=50K +37,Private,166549,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,176566,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,3103,0,40,United-States,>50K +18,Private,201613,11th,7,Never-married,Sales,Own-child,White,Female,0,0,5,United-States,<=50K +27,Private,285294,Assoc-acdm,12,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,60,United-States,<=50K +75,Private,100301,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K +22,Private,120320,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +29,Local-gov,218650,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,339482,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,<=50K +64,Private,301352,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Local-gov,225978,Assoc-voc,11,Separated,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K +39,Private,337778,Some-college,10,Divorced,Sales,Not-in-family,White,Male,4650,0,40,United-States,<=50K +49,Private,241350,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,40,United-States,>50K +36,Private,266645,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,<=50K +18,Private,100863,12th,8,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +55,Local-gov,227386,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +44,Private,315971,Masters,14,Divorced,Other-service,Not-in-family,White,Female,0,0,55,United-States,<=50K +20,Private,177287,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +20,Private,169022,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,36,United-States,<=50K +50,Private,205803,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +22,Federal-gov,277700,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,20,United-States,<=50K +24,Self-emp-not-inc,166371,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +20,?,295763,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +75,Self-emp-inc,152519,Doctorate,16,Widowed,Prof-specialty,Not-in-family,White,Male,25124,0,20,United-States,>50K +44,Private,438696,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +41,Self-emp-inc,34266,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +19,Private,136391,HS-grad,9,Never-married,Tech-support,Own-child,White,Female,0,0,20,United-States,<=50K +38,Private,435638,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,1876,40,United-States,<=50K +23,Private,51973,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,50,Japan,<=50K +40,Private,109800,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +41,Federal-gov,260761,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,109015,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,>50K +35,Private,272944,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,290498,Preschool,1,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,Mexico,<=50K +25,Private,176864,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +64,State-gov,169914,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Private,205759,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +63,Private,271075,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,29,United-States,<=50K +19,Private,239995,11th,7,Never-married,Sales,Other-relative,White,Male,0,0,16,United-States,<=50K +27,Private,65663,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +20,?,259865,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,Mexico,<=50K +42,Self-emp-not-inc,34722,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +37,Private,225821,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1485,40,United-States,>50K +39,Private,191503,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +46,?,110243,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,1977,20,United-States,>50K +30,Self-emp-not-inc,227429,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,Yugoslavia,<=50K +52,Private,174452,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,209085,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K +54,Private,192386,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,38,United-States,>50K +19,?,234877,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,320862,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,535027,Some-college,10,Never-married,Transport-moving,Unmarried,Black,Male,0,0,15,United-States,<=50K +33,Private,137421,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,35,Japan,<=50K +46,Private,195727,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K +49,Self-emp-not-inc,163229,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +31,Private,50753,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K +49,Private,173503,12th,8,Divorced,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K +17,Federal-gov,29078,11th,7,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,15,United-States,<=50K +35,Private,360743,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,55,United-States,<=50K +39,Self-emp-inc,142149,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,20,United-States,>50K +26,Private,464552,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K +59,Private,47444,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,74,United-States,>50K +37,Private,24721,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +53,Private,187492,Bachelors,13,Divorced,Craft-repair,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +50,Private,229318,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,50,Trinadad&Tobago,<=50K +48,Private,358382,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,52,United-States,<=50K +60,State-gov,119832,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,414166,12th,8,Never-married,Other-service,Own-child,Black,Female,0,0,32,United-States,<=50K +35,Private,147638,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,Hong,<=50K +26,Self-emp-not-inc,33016,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,55,United-States,<=50K +20,?,386962,10th,6,Never-married,?,Own-child,White,Male,0,0,40,Mexico,<=50K +32,Private,39248,Bachelors,13,Never-married,Tech-support,Not-in-family,Other,Male,0,0,40,United-States,<=50K +69,Private,232683,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,15,France,>50K +31,Self-emp-not-inc,55912,9th,5,Never-married,Craft-repair,Unmarried,White,Male,0,0,47,United-States,<=50K +35,Private,113152,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +65,Self-emp-inc,150095,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +63,Private,114424,Some-college,10,Separated,Machine-op-inspct,Other-relative,Black,Female,0,0,37,United-States,<=50K +26,?,408417,Some-college,10,Married-AF-spouse,?,Husband,Black,Male,0,0,38,United-States,<=50K +29,Private,163167,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +48,Private,86009,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +35,Federal-gov,316582,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,7298,0,40,United-States,>50K +50,Self-emp-not-inc,165219,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K +21,Private,99829,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +47,Private,275095,9th,5,Widowed,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +42,Private,167650,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,35,United-States,<=50K +52,Self-emp-not-inc,141820,10th,6,Divorced,Other-service,Own-child,White,Female,0,0,27,United-States,<=50K +29,Private,108253,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Other,Female,0,0,40,United-States,<=50K +41,Private,156526,Some-college,10,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Self-emp-inc,185366,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +43,Self-emp-inc,314739,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,92,United-States,>50K +20,Private,336101,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +38,Private,49115,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +35,Self-emp-inc,186488,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,Puerto-Rico,<=50K +18,?,158826,12th,8,Never-married,?,Own-child,Black,Female,0,0,15,United-States,<=50K +24,Private,218415,11th,7,Separated,Handlers-cleaners,Other-relative,White,Female,0,0,40,United-States,<=50K +27,Private,76978,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +47,Private,213408,9th,5,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,Cuba,<=50K +44,Private,181265,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +18,Local-gov,242956,11th,7,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K +30,Private,226696,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +30,Private,186932,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,75,United-States,<=50K +50,Federal-gov,107079,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,154950,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,48597,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +40,Private,196344,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,45,United-States,>50K +37,Self-emp-inc,152414,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +61,Private,222966,9th,5,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +39,Self-emp-not-inc,272671,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +26,Private,235520,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +30,Private,232766,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Private,309990,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,8614,0,60,United-States,>50K +40,Private,95639,HS-grad,9,Separated,Handlers-cleaners,Unmarried,Amer-Indian-Eskimo,Male,0,0,45,United-States,<=50K +20,?,177161,HS-grad,9,Never-married,?,Own-child,Other,Female,0,0,45,United-States,<=50K +51,Local-gov,133963,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,35,?,<=50K +45,Self-emp-not-inc,240786,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +44,Local-gov,141186,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,8614,0,35,United-States,>50K +65,Private,109221,7th-8th,4,Widowed,Priv-house-serv,Not-in-family,White,Female,0,3175,60,Puerto-Rico,<=50K +29,Private,337953,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,2885,0,40,United-States,<=50K +49,State-gov,189762,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +18,?,40190,12th,8,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +66,Private,171824,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,15,United-States,<=50K +48,Private,83545,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +28,Private,142712,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,37,United-States,>50K +19,Private,91893,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K +23,Private,443701,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +40,Private,438427,Some-college,10,Never-married,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K +53,Self-emp-inc,69372,Doctorate,16,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K +49,Private,243190,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,109762,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +22,Private,91189,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +56,Federal-gov,205805,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +48,Local-gov,212050,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +51,Private,152652,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +18,Private,157193,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,30,Italy,<=50K +32,Private,36592,11th,7,Never-married,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K +39,Private,192664,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +38,Federal-gov,99280,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +54,Private,168621,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,127048,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +29,Private,167610,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,108320,HS-grad,9,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,369643,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +27,Private,232388,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,4386,0,40,United-States,>50K +28,Private,513719,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,27073,Some-college,10,Never-married,Adm-clerical,Unmarried,Other,Female,0,0,40,United-States,<=50K +54,Private,105428,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,167284,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,320615,7th-8th,4,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +27,Local-gov,47284,HS-grad,9,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K +42,Private,45156,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +46,Private,166269,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K +28,Federal-gov,236418,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +21,Private,311478,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,45,United-States,<=50K +50,Private,256908,Doctorate,16,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +20,Private,256796,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +27,Private,168138,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,244413,12th,8,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,30,Ecuador,<=50K +66,?,52728,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K +23,?,223019,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +23,Private,215443,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,70,United-States,<=50K +41,Private,99665,9th,5,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,80,United-States,<=50K +39,Private,243485,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +38,Private,169872,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,3887,0,45,United-States,<=50K +46,Private,116338,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,109989,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,144401,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K +23,Local-gov,199555,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,1590,40,United-States,<=50K +33,Self-emp-not-inc,105229,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,185216,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +52,Private,155278,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,371408,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,47,United-States,<=50K +56,Private,177271,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +38,Private,234891,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +21,Private,356286,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +60,?,225894,Preschool,1,Widowed,?,Not-in-family,White,Female,0,0,40,Guatemala,<=50K +19,Private,181781,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,28,United-States,<=50K +23,Private,197756,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,35,United-States,<=50K +69,Local-gov,216269,Assoc-acdm,12,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +50,Private,33931,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,151584,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K +53,Private,286085,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Self-emp-not-inc,111385,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +35,Private,280966,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,221178,HS-grad,9,Separated,Other-service,Other-relative,White,Male,0,0,28,United-States,<=50K +60,Private,74422,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,44,Mexico,<=50K +21,Private,103031,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K +46,State-gov,209739,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,38,United-States,<=50K +23,State-gov,112137,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Other,Female,0,0,40,Canada,<=50K +26,Private,138537,11th,7,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,50,United-States,<=50K +72,Private,135378,7th-8th,4,Widowed,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K +48,Private,175006,1st-4th,2,Separated,Machine-op-inspct,Other-relative,Black,Male,0,0,48,United-States,<=50K +26,Private,182194,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,194686,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,15,United-States,<=50K +27,Private,70034,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Federal-gov,439263,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K +72,Private,74749,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,17,United-States,<=50K +26,Private,231638,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Private,197623,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K +22,?,148409,Some-college,10,Never-married,?,Own-child,White,Male,0,1721,40,United-States,<=50K +17,?,40299,10th,6,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +46,Self-emp-not-inc,96260,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,20,United-States,<=50K +47,Self-emp-not-inc,62143,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,40,United-States,>50K +22,Private,193027,HS-grad,9,Married-spouse-absent,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +24,?,334105,11th,7,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +46,Private,31411,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,?,<=50K +60,Private,140516,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Private,155963,9th,5,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +58,Self-emp-not-inc,119891,Masters,14,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,35,United-States,>50K +32,Private,206609,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,425444,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,50,United-States,>50K +52,Private,114674,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,52,United-States,>50K +54,Federal-gov,57679,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Male,0,0,40,United-States,<=50K +48,Private,213140,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +52,Local-gov,295494,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +46,Private,182862,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,32,United-States,<=50K +50,Private,178529,11th,7,Divorced,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,214031,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,<=50K +17,Private,350538,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K +29,Private,238073,Some-college,10,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Columbia,<=50K +29,Private,194640,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +39,Self-emp-not-inc,139770,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,>50K +21,Private,164177,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,99470,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +61,Private,359367,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +72,Local-gov,45612,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,16,United-States,<=50K +33,Private,127651,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +34,Private,193132,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,50,United-States,<=50K +26,Local-gov,314798,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,60,United-States,>50K +33,Private,108438,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +41,Private,165815,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +18,?,136172,11th,7,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K +24,Private,127159,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,24,?,<=50K +18,?,220168,Some-college,10,Never-married,?,Own-child,White,Male,0,0,16,United-States,<=50K +55,Private,127677,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +42,Private,119941,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,93699,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +46,Federal-gov,196649,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +18,Private,332763,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K +36,Private,158363,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K +38,Private,249039,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,3103,0,40,United-States,>50K +39,Private,454585,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,54,Mexico,<=50K +31,Private,121321,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,229148,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +18,Private,221284,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,64,United-States,<=50K +38,Private,428251,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +47,Self-emp-inc,77660,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +21,Private,139722,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K +33,State-gov,171151,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +51,Private,94819,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +44,Private,214546,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,>50K +45,Self-emp-inc,190482,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +22,Private,283029,9th,5,Never-married,Craft-repair,Own-child,White,Male,0,0,54,United-States,<=50K +48,?,142719,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,48,United-States,>50K +40,Private,244172,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Local-gov,120238,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +29,Private,66095,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K +46,Private,129232,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +41,Private,44121,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +31,Private,243678,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,118786,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K +39,Self-emp-not-inc,176900,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,>50K +50,Private,155574,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K +41,Private,76625,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +18,Private,192254,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,15,United-States,<=50K +35,Private,238802,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +22,Private,247731,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +18,Private,397606,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +23,?,370057,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K +62,?,190873,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +50,Local-gov,145879,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +52,Private,618130,HS-grad,9,Divorced,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +24,Private,542762,Bachelors,13,Never-married,Sales,Other-relative,Black,Male,0,0,50,United-States,<=50K +31,Private,144124,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,190539,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +33,Private,92462,Assoc-acdm,12,Never-married,Sales,Unmarried,Black,Male,0,0,32,United-States,<=50K +48,Private,129974,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +62,State-gov,254890,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,261207,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Cuba,>50K +39,Self-emp-inc,206362,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,27804,Some-college,10,Divorced,Priv-house-serv,Unmarried,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K +57,Self-emp-not-inc,771836,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +29,Private,101108,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K +49,Private,255466,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K +30,Local-gov,204494,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,70,Germany,<=50K +53,Private,271918,9th,5,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +17,Private,152619,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +59,Private,107318,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,130773,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +20,?,117210,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +48,Private,148549,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +64,Private,181530,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +37,Private,365739,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +54,Local-gov,182429,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Female,0,0,38,United-States,<=50K +41,Private,381510,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K +45,Self-emp-not-inc,116789,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +36,Self-emp-inc,196554,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,>50K +27,Private,335878,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,45,United-States,<=50K +25,Private,184120,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +39,Private,260084,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,24,United-States,<=50K +44,Private,160369,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +22,Private,164901,11th,7,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +21,?,96844,HS-grad,9,Married-civ-spouse,?,Other-relative,White,Female,0,0,40,United-States,<=50K +56,Private,124566,5th-6th,3,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,473133,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +44,Private,335223,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +53,Private,380086,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,48,United-States,>50K +32,Private,198265,1st-4th,2,Never-married,Exec-managerial,Own-child,White,Male,0,0,21,United-States,<=50K +33,?,32207,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,75,United-States,<=50K +60,Private,288684,5th-6th,3,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +35,Private,302604,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +58,Private,170290,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +53,Self-emp-inc,195398,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1887,48,Canada,>50K +54,Local-gov,256923,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +26,Private,464552,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,45,Mexico,<=50K +27,Private,112754,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,56,United-States,<=50K +59,Private,176118,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,7,United-States,>50K +63,?,316627,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K +70,Private,146628,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,3471,0,33,United-States,<=50K +26,Private,108822,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +28,Private,208608,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K +22,Private,317019,11th,7,Separated,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +24,Private,250978,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,75,United-States,<=50K +46,Private,224559,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K +56,State-gov,138593,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,175614,10th,6,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,396099,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,122493,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +53,Local-gov,182677,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,50,Philippines,<=50K +57,State-gov,247624,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +36,Private,210458,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Mexico,<=50K +25,Private,91639,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +29,Private,334096,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,25,United-States,<=50K +21,?,183945,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +47,Private,78022,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +51,Self-emp-inc,318351,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,1741,40,United-States,<=50K +23,Private,233280,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,8614,0,70,United-States,>50K +22,Private,100188,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K +29,Private,85572,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K +50,Self-emp-not-inc,61735,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,>50K +23,Private,206827,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +21,Private,210053,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +38,Local-gov,172016,Bachelors,13,Divorced,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K +19,?,138153,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +31,?,183855,11th,7,Never-married,?,Unmarried,White,Female,0,0,20,United-States,<=50K +30,Private,188362,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K +42,Private,191429,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K +52,Private,357596,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +25,Local-gov,278404,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,180339,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,35,United-States,<=50K +43,Private,355431,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +33,Private,223212,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K +34,Private,116371,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K +41,?,199018,Some-college,10,Divorced,?,Not-in-family,White,Male,0,1504,40,United-States,<=50K +43,Private,435266,Doctorate,16,Separated,Exec-managerial,Not-in-family,White,Female,14084,0,60,United-States,>50K +61,Private,345697,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K +49,Private,253973,10th,6,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,?,191149,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,28,United-States,>50K +42,Private,197344,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K +23,Private,437161,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +72,?,94268,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +50,Self-emp-inc,207841,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,45,United-States,>50K +34,Private,46492,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +47,State-gov,190325,Some-college,10,Divorced,Tech-support,Unmarried,Black,Female,0,0,48,United-States,<=50K +48,Private,158944,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Female,0,0,60,United-States,>50K +37,Private,228598,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Other,Male,0,0,40,Mexico,<=50K +23,Private,349156,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,45,United-States,<=50K +17,?,246974,12th,8,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +66,Private,386120,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,10605,0,40,United-States,>50K +26,Private,220678,5th-6th,3,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,40,Dominican-Republic,<=50K +41,Private,462964,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,2174,0,50,United-States,<=50K +19,Private,158603,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,37,United-States,<=50K +26,?,167261,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,15,United-States,<=50K +34,Private,412933,12th,8,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,55,United-States,<=50K +59,Local-gov,167027,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,194829,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +47,Private,145636,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,>50K +57,?,123632,Bachelors,13,Never-married,?,Not-in-family,Black,Female,0,0,35,United-States,<=50K +49,Private,27614,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,324854,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,22245,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,Outlying-US(Guam-USVI-etc),<=50K +31,Private,101352,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +39,?,238721,Bachelors,13,Divorced,?,Own-child,Black,Female,0,0,40,United-States,<=50K +22,Private,289982,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,399449,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +39,?,142804,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,16,United-States,<=50K +26,Private,121427,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +41,Private,230959,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +42,Private,191342,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K +64,Private,285610,11th,7,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,207369,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +25,Federal-gov,80485,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,State-gov,33474,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +45,Private,173658,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +36,Local-gov,202207,HS-grad,9,Married-spouse-absent,Protective-serv,Not-in-family,White,Male,0,0,69,Germany,>50K +36,Private,174242,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K +22,Private,349212,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +17,?,54978,7th-8th,4,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K +25,State-gov,81993,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,46,United-States,<=50K +47,Private,311395,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +18,?,149017,12th,8,Never-married,?,Own-child,White,Male,0,0,10,United-States,<=50K +34,Self-emp-not-inc,156532,7th-8th,4,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +44,Private,53470,Bachelors,13,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +27,Private,212578,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K +25,Private,227465,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,423605,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,El-Salvador,<=50K +48,Private,149337,Assoc-acdm,12,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K +27,State-gov,38353,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Local-gov,325385,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +17,Private,196252,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +35,Private,110538,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,55,United-States,<=50K +75,Private,71385,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,20,United-States,<=50K +34,Private,178449,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,45,United-States,>50K +28,Federal-gov,366533,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,336326,11th,7,Never-married,Craft-repair,Unmarried,White,Male,1151,0,40,United-States,<=50K +23,Private,335439,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,1741,50,United-States,<=50K +40,Private,184471,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Federal-gov,133526,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,618808,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,408385,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,156192,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Private,126569,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +40,Private,300773,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,152109,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +19,Private,260275,11th,7,Separated,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +17,Private,209650,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +73,Private,573446,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,United-States,<=50K +41,Private,253189,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,200426,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,18,United-States,<=50K +24,Private,109667,Masters,14,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K +41,?,173651,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,99,United-States,<=50K +34,Local-gov,432204,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,80,United-States,<=50K +28,Private,252013,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,45,Japan,<=50K +68,?,461484,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,1648,10,United-States,>50K +19,Private,191889,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,25,United-States,<=50K +42,Private,112507,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K +36,Private,224531,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Poland,>50K +24,?,83783,7th-8th,4,Never-married,?,Not-in-family,White,Female,0,0,25,United-States,<=50K +46,Self-emp-not-inc,346783,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,35,Cuba,>50K +48,Federal-gov,72896,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,171393,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1740,40,United-States,<=50K +27,Private,294931,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,Germany,<=50K +26,Private,198986,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +19,?,264767,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +55,Self-emp-not-inc,225623,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +17,?,48610,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,14,United-States,<=50K +57,Private,113974,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,334991,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +24,Private,362059,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,32,United-States,<=50K +37,Private,389725,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K +25,Private,330774,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,149910,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,United-States,<=50K +49,Self-emp-inc,99401,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +22,Private,104266,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +21,Private,136440,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,15,South,<=50K +84,Private,65478,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,40,England,<=50K +24,Private,56121,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,Mexico,<=50K +44,Private,143939,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,231853,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,1902,40,United-States,>50K +20,Private,267706,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,38,United-States,<=50K +37,Private,328301,Some-college,10,Never-married,Tech-support,Unmarried,White,Female,4934,0,60,United-States,>50K +30,Private,36340,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +19,Private,112780,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +51,Private,113045,Masters,14,Widowed,Exec-managerial,Unmarried,White,Male,15020,0,40,United-States,>50K +52,Private,196504,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +50,State-gov,136216,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K +34,Local-gov,158242,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,<=50K +53,Private,180062,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,206888,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,77370,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +49,Self-emp-not-inc,349151,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3411,0,40,United-States,<=50K +52,Private,113843,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K +48,State-gov,176917,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +58,?,226078,11th,7,Divorced,?,Unmarried,Black,Female,0,0,32,United-States,<=50K +30,Local-gov,177828,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,137304,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +35,Private,138441,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +46,Private,30840,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +42,Private,149546,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,30,United-States,<=50K +29,Private,145182,HS-grad,9,Never-married,Protective-serv,Own-child,Black,Female,0,0,20,United-States,<=50K +25,Local-gov,270379,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +18,Self-emp-inc,378036,12th,8,Never-married,Farming-fishing,Own-child,White,Male,0,0,10,United-States,<=50K +19,Private,118535,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +19,Private,239057,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +80,Private,107740,HS-grad,9,Widowed,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K +61,Private,194804,Preschool,1,Separated,Transport-moving,Not-in-family,Black,Male,14344,0,40,United-States,>50K +46,Self-emp-not-inc,225065,Bachelors,13,Separated,Other-service,Unmarried,White,Female,0,0,45,Nicaragua,<=50K +27,Private,165412,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +26,Private,211199,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,State-gov,172962,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,190748,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +38,Federal-gov,455379,12th,8,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,>50K +28,Private,112917,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,Other,Male,0,0,40,Mexico,<=50K +34,Private,299383,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +36,Private,22245,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +23,Private,49683,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +65,Local-gov,32846,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,2964,0,35,United-States,<=50K +35,Private,46947,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +65,Private,165609,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,32,United-States,<=50K +39,Private,226894,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +35,Private,143231,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,44,United-States,>50K +33,Private,173730,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,259425,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,168747,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,?,210652,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K +25,Private,40915,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,180303,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,70,South,<=50K +49,Private,182541,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1485,40,United-States,>50K +29,Private,67306,HS-grad,9,Never-married,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +20,?,38032,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Federal-gov,257395,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +29,Private,29261,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K +19,Private,205977,Some-college,10,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,20,United-States,<=50K +22,?,216639,Some-college,10,Never-married,?,Not-in-family,White,Female,0,1974,40,United-States,<=50K +17,Private,134768,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +49,Private,32184,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,36,United-States,<=50K +23,Private,138037,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,1590,50,United-States,<=50K +49,Private,174426,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1977,50,United-States,>50K +45,Private,50162,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +49,Federal-gov,193998,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,187901,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +56,Private,82050,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K +18,?,20057,Some-college,10,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,16,United-States,<=50K +35,Private,144200,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Other,Male,0,0,25,Columbia,<=50K +80,Self-emp-not-inc,29441,7th-8th,4,Married-spouse-absent,Farming-fishing,Unmarried,White,Male,0,0,15,United-States,<=50K +65,Private,195695,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Private,274502,Some-college,10,Widowed,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +76,?,239900,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,3,United-States,<=50K +22,Private,191954,Assoc-voc,11,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K +33,Private,172304,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +44,Local-gov,174575,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +20,Private,325744,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +43,Private,26252,Some-college,10,Separated,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,36,United-States,<=50K +57,Private,176904,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,504871,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Self-emp-not-inc,141702,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +30,Private,399088,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K +32,Local-gov,409282,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,532969,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,White,Male,0,0,40,Nicaragua,<=50K +21,?,213366,Some-college,10,Never-married,?,Own-child,White,Female,0,0,38,United-States,<=50K +36,Private,188888,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,24126,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +61,Self-emp-not-inc,151369,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,30,United-States,>50K +18,Private,115759,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +59,Self-emp-inc,171355,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,0,0,55,United-States,<=50K +18,Private,310175,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K +44,Private,216116,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,Jamaica,<=50K +23,Private,204141,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +44,Private,212894,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Greece,<=50K +49,Private,120121,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K +59,Self-emp-not-inc,190997,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,36,United-States,<=50K +36,Private,224566,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,99999,0,45,United-States,>50K +30,Private,235847,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K +56,?,124319,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +27,Private,193807,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1741,40,United-States,<=50K +69,Self-emp-not-inc,215926,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K +19,?,455665,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,44,United-States,<=50K +36,Private,36423,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,<=50K +42,Private,32878,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,42,United-States,>50K +25,Private,96862,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,2174,0,40,United-States,<=50K +17,Private,187879,9th,5,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K +40,Local-gov,36296,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +40,Private,75615,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,43,United-States,<=50K +17,Private,168807,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +24,State-gov,161783,Bachelors,13,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,?,<=50K +40,State-gov,13492,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Amer-Indian-Eskimo,Male,0,0,84,United-States,<=50K +65,Private,119769,HS-grad,9,Widowed,Priv-house-serv,Unmarried,Black,Female,0,0,20,United-States,<=50K +38,Private,313914,Bachelors,13,Separated,Farming-fishing,Unmarried,White,Female,0,0,45,United-States,<=50K +33,Private,172584,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,1590,50,United-States,<=50K +28,Private,112425,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,157783,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,35,Vietnam,<=50K +34,Private,356882,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,156852,Assoc-voc,11,Widowed,Tech-support,Unmarried,White,Female,0,0,8,United-States,<=50K +63,Self-emp-not-inc,175177,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +28,Private,425127,9th,5,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,35,United-States,<=50K +30,Local-gov,99761,Assoc-voc,11,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,272950,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +43,Self-emp-not-inc,174295,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +24,Local-gov,157678,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Female,2036,0,42,United-States,<=50K +52,Private,186224,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,142587,11th,7,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K +46,Private,131091,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +43,Self-emp-not-inc,71269,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +54,Private,311551,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,<=50K +22,Self-emp-inc,171041,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,140915,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,60,South,<=50K +46,Private,41223,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +46,Self-emp-inc,292569,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,65,United-States,>50K +44,Private,132921,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K +59,Self-emp-inc,177271,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,84,United-States,>50K +58,Self-emp-inc,314482,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +36,Private,310531,10th,6,Separated,Handlers-cleaners,Unmarried,Black,Male,0,0,40,United-States,<=50K +29,Private,145490,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,181200,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,1564,40,United-States,>50K +29,Private,152951,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,Canada,>50K +40,Private,85668,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +30,Private,316606,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,2339,50,United-States,<=50K +38,Private,220694,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +24,Private,408585,7th-8th,4,Married-civ-spouse,Farming-fishing,Own-child,White,Female,0,0,45,Mexico,<=50K +42,Federal-gov,36699,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,104280,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +29,Private,97254,11th,7,Never-married,Sales,Not-in-family,Amer-Indian-Eskimo,Male,4101,0,40,United-States,<=50K +35,Private,186420,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +44,Private,112482,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +54,Private,317733,Doctorate,16,Widowed,Tech-support,Unmarried,White,Male,0,2472,40,United-States,>50K +56,Private,235136,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Dominican-Republic,<=50K +29,Private,229729,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +66,Private,46677,Some-college,10,Widowed,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K +48,Federal-gov,277946,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +46,Private,263727,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +32,Private,74501,Masters,14,Never-married,Sales,Own-child,White,Female,0,0,50,United-States,<=50K +34,Private,143776,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,45,?,>50K +69,Private,179130,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,38,United-States,<=50K +23,State-gov,386568,Some-college,10,Separated,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +22,Private,413110,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,15,United-States,<=50K +45,Private,72618,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +45,Private,102288,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Self-emp-not-inc,321851,Assoc-voc,11,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,180871,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +25,Private,124483,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,50,India,<=50K +43,Private,72791,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,5178,0,40,United-States,>50K +47,State-gov,263215,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,80,United-States,<=50K +34,Local-gov,207668,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,41,United-States,>50K +30,Private,198953,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +48,Private,38819,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,75,United-States,<=50K +43,Private,107306,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,55,Canada,<=50K +20,Private,161962,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K +83,Private,192305,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,20,United-States,<=50K +42,Private,449925,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K +42,Local-gov,131167,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +30,Local-gov,268482,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +34,State-gov,103642,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,1651,40,United-States,<=50K +43,Private,201723,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,186224,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K +39,Self-emp-not-inc,139703,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,48,United-States,>50K +33,Private,397995,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Private,259323,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +18,State-gov,427515,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K +21,?,187937,Some-college,10,Never-married,?,Other-relative,White,Female,0,0,52,United-States,<=50K +34,Private,177437,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +32,Private,162442,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +48,Private,83407,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +61,?,265201,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,14,United-States,<=50K +19,Private,109005,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +55,Local-gov,56915,HS-grad,9,Divorced,Exec-managerial,Unmarried,Amer-Indian-Eskimo,Male,0,0,8,United-States,<=50K +37,Private,210830,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K +24,Private,194848,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +39,Private,109351,Assoc-voc,11,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,105813,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3908,0,72,United-States,<=50K +32,Private,123430,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K +44,Private,105896,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K +35,Self-emp-not-inc,135020,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Germany,<=50K +27,Private,136077,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,<=50K +18,Private,151463,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +43,Private,73333,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,2174,0,40,United-States,<=50K +51,Local-gov,43705,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,54,United-States,>50K +26,Private,320465,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +23,Private,237811,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,Trinadad&Tobago,<=50K +41,State-gov,190910,HS-grad,9,Married-civ-spouse,Farming-fishing,Other-relative,White,Male,0,0,40,United-States,<=50K +33,Self-emp-inc,348326,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +41,Private,163287,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,62,United-States,<=50K +31,Private,97723,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +56,State-gov,160383,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K +39,Federal-gov,263690,Masters,14,Married-civ-spouse,Other-service,Husband,Black,Male,3137,0,40,Trinadad&Tobago,<=50K +42,Private,278926,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,189017,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,87546,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +23,Local-gov,145112,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,43,United-States,<=50K +55,Private,107308,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +79,Local-gov,132668,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K +47,Private,175600,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,176608,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +37,Private,217054,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Local-gov,244813,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,77373,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +41,Private,135823,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,174864,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,45,United-States,>50K +45,Private,121676,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,>50K +38,Private,108140,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +46,Private,185041,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K +47,Self-emp-inc,144579,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,90,United-States,<=50K +26,Private,143280,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +41,Private,242804,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +48,Private,156926,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +55,Self-emp-inc,103948,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +28,Private,249720,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,203635,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,65,United-States,>50K +31,Private,136721,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,114865,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +23,Private,166517,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,96219,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K +48,Private,236197,12th,8,Widowed,Handlers-cleaners,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Guatemala,<=50K +39,Private,357118,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,1974,40,United-States,<=50K +25,Private,193787,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,45,United-States,<=50K +27,Private,607658,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +64,Local-gov,47298,Doctorate,16,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K +55,Local-gov,258121,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +46,Private,411037,10th,6,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +23,Private,228724,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K +28,Private,179008,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K +37,Private,422933,Masters,14,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,>50K +27,Private,32452,Masters,14,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K +35,Private,54363,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +35,Private,113397,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,Japan,<=50K +45,Private,159080,HS-grad,9,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +59,State-gov,354948,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K +31,Private,162572,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K +35,Private,108140,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Private,126104,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,65,United-States,<=50K +41,Private,145522,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +20,Private,61777,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +39,Private,139057,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,38,India,<=50K +31,Private,113129,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,202062,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Male,0,0,40,United-States,<=50K +34,Private,31341,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,196125,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +33,Private,44559,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +33,Self-emp-not-inc,202153,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,40,United-States,<=50K +35,Private,238980,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Self-emp-not-inc,156873,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,32805,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +68,Self-emp-not-inc,273088,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,10,United-States,<=50K +43,Self-emp-not-inc,241055,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +25,Private,157028,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +35,Local-gov,304252,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +57,Private,106910,Assoc-voc,11,Divorced,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,Outlying-US(Guam-USVI-etc),<=50K +57,Private,127728,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,>50K +37,State-gov,178876,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +18,Private,78181,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +21,?,212661,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +29,Private,288229,HS-grad,9,Married-civ-spouse,Tech-support,Wife,Asian-Pac-Islander,Female,4386,0,45,United-States,>50K +24,Private,205883,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +36,Local-gov,268205,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,52,United-States,<=50K +23,Private,113735,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,0,0,20,United-States,<=50K +36,Private,390243,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +52,Private,137984,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,160785,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +18,Private,86150,HS-grad,9,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Female,0,0,15,United-States,<=50K +32,Private,244268,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,48,United-States,<=50K +34,Self-emp-inc,177828,HS-grad,9,Divorced,Sales,Unmarried,White,Male,0,0,50,United-States,>50K +29,Private,337953,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,36,United-States,<=50K +56,Self-emp-not-inc,254711,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K +60,Private,127084,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +19,Private,156618,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,1602,20,United-States,<=50K +30,Private,201697,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +50,Self-emp-not-inc,187830,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,27828,0,16,United-States,>50K +52,Private,240612,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,Peru,>50K +66,Self-emp-not-inc,190160,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K +28,Private,109001,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Local-gov,297322,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K +29,Private,335015,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +50,Private,174964,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +34,Federal-gov,408813,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,>50K +37,Private,115332,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,<=50K +29,Local-gov,170482,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,2057,40,United-States,<=50K +34,Private,113688,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,34,United-States,<=50K +27,Private,133770,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,2202,0,52,Philippines,<=50K +57,Private,161964,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,34572,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,>50K +21,Private,198259,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,30,United-States,<=50K +73,?,144872,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,Canada,<=50K +57,Private,161944,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,60,United-States,>50K +51,Private,29887,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Male,0,1590,40,United-States,<=50K +37,Federal-gov,238980,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,42,United-States,<=50K +42,Private,275677,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,24529,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,5178,0,60,United-States,>50K +51,Self-emp-not-inc,311631,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +19,Private,105460,9th,5,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +24,Private,374763,11th,7,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +25,Private,242136,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +31,Private,112115,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Self-emp-inc,77132,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Canada,>50K +81,?,26711,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,2936,0,20,United-States,<=50K +60,Private,117909,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +39,Private,229647,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,1669,40,United-States,<=50K +38,Private,149347,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +43,Local-gov,23157,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K +23,Private,93977,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +73,Self-emp-inc,159691,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,176967,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +66,Private,344436,HS-grad,9,Widowed,Sales,Other-relative,White,Female,0,0,8,United-States,<=50K +27,Private,430340,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +40,Private,202168,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,55,United-States,>50K +51,Private,82720,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,269623,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +64,Self-emp-not-inc,136405,HS-grad,9,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,32,United-States,<=50K +50,Local-gov,139347,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,?,>50K +55,Private,224655,HS-grad,9,Separated,Priv-house-serv,Not-in-family,White,Female,0,0,32,United-States,<=50K +38,Private,247547,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +58,Private,292710,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,36,United-States,<=50K +32,Private,173449,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,285570,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,89686,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +31,Private,440129,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,350977,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +48,Local-gov,349230,Masters,14,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,245211,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +39,Private,215419,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K +64,?,321403,HS-grad,9,Widowed,?,Other-relative,Black,Male,0,0,40,United-States,<=50K +38,Private,374983,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +44,Private,83891,Bachelors,13,Divorced,Adm-clerical,Own-child,Asian-Pac-Islander,Male,5455,0,40,United-States,<=50K +35,Self-emp-inc,182148,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +39,State-gov,77516,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,2174,0,40,United-States,<=50K +50,Self-emp-not-inc,83311,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,13,United-States,<=50K +38,Private,215646,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,234721,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +28,Private,338409,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,Cuba,<=50K +37,Private,284582,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +49,Private,160187,9th,5,Married-spouse-absent,Other-service,Not-in-family,Black,Female,0,0,16,Jamaica,<=50K +52,Self-emp-not-inc,209642,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +31,Private,45781,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,14084,0,50,United-States,>50K +42,Private,159449,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K +37,Private,280464,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,80,United-States,>50K +30,State-gov,141297,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K +23,Private,122272,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +32,Private,205019,Assoc-acdm,12,Never-married,Sales,Not-in-family,Black,Male,0,0,50,United-States,<=50K +40,Private,121772,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K +34,Private,245487,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,45,Mexico,<=50K +25,Self-emp-not-inc,176756,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,35,United-States,<=50K +32,Private,186824,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +38,Private,28887,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +43,Self-emp-not-inc,292175,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,>50K +40,Private,193524,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +54,Private,302146,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K +35,Federal-gov,76845,9th,5,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K +43,Private,117037,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2042,40,United-States,<=50K +59,Private,109015,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +56,Local-gov,216851,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +19,Private,168294,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +54,?,180211,Some-college,10,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,60,South,>50K +39,Private,367260,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,80,United-States,<=50K +49,Private,193366,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Local-gov,190709,Assoc-acdm,12,Never-married,Protective-serv,Not-in-family,White,Male,0,0,52,United-States,<=50K +20,Private,266015,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,44,United-States,<=50K +45,Private,386940,Bachelors,13,Divorced,Exec-managerial,Own-child,White,Male,0,1408,40,United-States,<=50K +30,Federal-gov,59951,Some-college,10,Married-civ-spouse,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +22,State-gov,311512,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,15,United-States,<=50K +48,Private,242406,11th,7,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,Puerto-Rico,<=50K +21,Private,197200,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,544091,HS-grad,9,Married-AF-spouse,Adm-clerical,Wife,White,Female,0,0,25,United-States,<=50K +31,Private,84154,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,38,?,>50K +48,Self-emp-not-inc,265477,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,507875,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,<=50K +53,Self-emp-not-inc,88506,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,172987,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K +49,Private,94638,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,289980,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,35,United-States,<=50K +57,Federal-gov,337895,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K +53,Private,144361,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,<=50K +44,Private,128354,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +41,State-gov,101603,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,271466,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,43,United-States,<=50K +25,Private,32275,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Other,Female,0,0,40,United-States,<=50K +18,Private,226956,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,?,<=50K +47,Private,51835,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,60,Honduras,>50K +50,Federal-gov,251585,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K +47,Self-emp-inc,109832,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +43,Private,237993,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +46,Private,216666,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +35,Private,56352,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +41,Private,147372,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,<=50K +30,Private,188146,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5013,0,40,United-States,<=50K +30,Private,59496,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,2407,0,40,United-States,<=50K +32,?,293936,7th-8th,4,Married-spouse-absent,?,Not-in-family,White,Male,0,0,40,?,<=50K +48,Private,149640,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,116632,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +29,Private,105598,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,58,United-States,<=50K +36,Private,155537,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,183175,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Private,169846,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +49,Self-emp-inc,191681,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +25,?,200681,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,101509,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,32,United-States,<=50K +31,Private,309974,Bachelors,13,Separated,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K +29,Self-emp-not-inc,162298,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K +23,Private,211678,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +79,Private,124744,Some-college,10,Married-civ-spouse,Prof-specialty,Other-relative,White,Male,0,0,20,United-States,<=50K +27,Private,213921,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,Mexico,<=50K +40,Private,32214,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +67,?,212759,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,<=50K +18,Private,309634,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,22,United-States,<=50K +31,Local-gov,125927,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,446839,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +52,Private,276515,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Cuba,<=50K +46,Private,51618,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +59,Private,159937,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +44,Private,343591,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,14344,0,40,United-States,>50K +53,Private,346253,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +49,Local-gov,268234,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +33,Private,202051,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,54334,9th,5,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Federal-gov,410867,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +57,Private,249977,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,286730,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,212563,Some-college,10,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,25,United-States,<=50K +30,Private,117747,HS-grad,9,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,1573,35,?,<=50K +34,Local-gov,226296,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +29,Local-gov,115585,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K +48,Self-emp-not-inc,191277,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,60,United-States,>50K +37,Private,202683,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K +48,Private,171095,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,England,<=50K +32,Federal-gov,249409,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +76,Private,124191,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +44,Private,198282,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +47,Self-emp-not-inc,149116,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +20,Private,188300,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,103432,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Self-emp-inc,317660,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +17,?,304873,10th,6,Never-married,?,Own-child,White,Female,34095,0,32,United-States,<=50K +30,Private,194901,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +31,Local-gov,189265,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,124692,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,432376,Bachelors,13,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +38,Private,65324,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +56,Self-emp-not-inc,335605,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,1887,50,Canada,>50K +28,Private,377869,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,4064,0,25,United-States,<=50K +36,Private,102864,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +53,Private,95647,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +56,Self-emp-inc,303090,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +49,Local-gov,197371,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +55,Private,247552,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,56,United-States,<=50K +22,Private,102632,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,41,United-States,<=50K +21,Private,199915,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +40,Private,118853,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +30,Private,77143,Bachelors,13,Never-married,Exec-managerial,Own-child,Black,Male,0,0,40,Germany,<=50K +29,State-gov,267989,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +19,Private,301606,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K +47,Private,287828,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +20,Private,111697,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,1719,28,United-States,<=50K +31,Private,114937,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +35,?,129305,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,365739,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,69621,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K +24,Private,43323,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,1762,40,United-States,<=50K +38,Self-emp-not-inc,120985,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,35,United-States,<=50K +37,Private,254202,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +46,Private,146195,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,Black,Female,0,0,36,United-States,<=50K +38,Federal-gov,125933,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Iran,>50K +43,Self-emp-not-inc,56920,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +27,Private,163127,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K +20,Private,34310,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +49,Private,81973,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +61,Self-emp-inc,66614,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,232782,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +19,Private,316868,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,Mexico,<=50K +45,Private,196584,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,1564,40,United-States,>50K +70,Private,105376,Some-college,10,Never-married,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K +31,Private,185814,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Female,0,0,30,United-States,<=50K +22,Private,175374,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,24,United-States,<=50K +36,Private,108293,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K +64,Private,181232,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2179,40,United-States,<=50K +43,?,174662,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Local-gov,186009,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,Mexico,<=50K +34,Private,198183,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,163003,Bachelors,13,Never-married,Exec-managerial,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +21,Private,296158,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +52,?,252903,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,45,United-States,>50K +48,Private,187715,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K +23,Private,214542,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +71,Self-emp-not-inc,494223,Some-college,10,Separated,Sales,Unmarried,Black,Male,0,1816,2,United-States,<=50K +29,Private,191535,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +42,Private,228456,Bachelors,13,Separated,Other-service,Other-relative,Black,Male,0,0,50,United-States,<=50K +68,?,38317,1st-4th,2,Divorced,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +25,Private,252752,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Self-emp-inc,78374,Masters,14,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +28,Private,88419,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,England,<=50K +45,Self-emp-not-inc,201080,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +36,Private,207157,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K +39,Federal-gov,235485,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K +46,State-gov,102628,Masters,14,Widowed,Protective-serv,Unmarried,White,Male,0,0,40,United-States,<=50K +18,Private,25828,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K +66,Local-gov,54826,Assoc-voc,11,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +27,Private,124953,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,1980,40,United-States,<=50K +28,State-gov,175325,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,96062,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K +27,Private,428030,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +28,State-gov,149624,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +27,Private,253814,HS-grad,9,Married-spouse-absent,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K +21,Private,312956,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +34,Private,483777,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +18,Private,183930,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K +33,Private,37274,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,<=50K +44,Local-gov,181344,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,38,United-States,>50K +43,Private,114580,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,633742,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,45,United-States,<=50K +40,Private,286370,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,>50K +37,Federal-gov,29054,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,42,United-States,>50K +34,Private,304030,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,143129,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,?,135105,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,50,United-States,<=50K +31,Private,99928,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,<=50K +58,State-gov,109567,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,1,United-States,>50K +38,Private,155222,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,28,United-States,<=50K +24,Private,159567,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +41,Local-gov,523910,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +47,Private,120939,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K +41,Federal-gov,130760,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,24,United-States,<=50K +23,Private,197387,5th-6th,3,Married-civ-spouse,Transport-moving,Other-relative,White,Male,0,0,40,Mexico,<=50K +36,Private,99374,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Federal-gov,56795,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,14084,0,55,United-States,>50K +35,Private,138992,Masters,14,Married-civ-spouse,Prof-specialty,Other-relative,White,Male,7298,0,40,United-States,>50K +24,Self-emp-not-inc,32921,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,397317,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1876,40,United-States,<=50K +19,?,170653,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,Italy,<=50K +51,Private,259323,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +42,Local-gov,254817,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,1340,40,United-States,<=50K +37,State-gov,48211,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +18,Private,140164,11th,7,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,128757,Bachelors,13,Married-civ-spouse,Other-service,Husband,Black,Male,7298,0,36,United-States,>50K +35,Private,36270,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +58,Self-emp-inc,210563,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,15024,0,35,United-States,>50K +17,Private,65368,11th,7,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K +44,Local-gov,160943,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +37,Private,208358,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +35,Private,153790,Some-college,10,Never-married,Sales,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +60,Private,85815,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +54,Self-emp-inc,125417,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +37,Private,635913,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,60,United-States,>50K +50,Private,313321,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,182609,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Poland,<=50K +45,Private,109434,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +25,Private,255004,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,197860,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +64,?,187656,1st-4th,2,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +90,Private,51744,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,2206,40,United-States,<=50K +54,Private,176681,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,20,United-States,<=50K +53,Local-gov,140359,Preschool,1,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,35,United-States,<=50K +18,Private,243313,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +60,?,24215,10th,6,Divorced,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,10,United-States,<=50K +66,Self-emp-not-inc,167687,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,1409,0,50,United-States,<=50K +75,Private,314209,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,Columbia,<=50K +65,Private,176796,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,538583,11th,7,Separated,Transport-moving,Not-in-family,Black,Male,3674,0,40,United-States,<=50K +41,Private,130408,HS-grad,9,Divorced,Sales,Unmarried,Black,Female,0,0,38,United-States,<=50K +25,Private,159732,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,42,United-States,<=50K +33,Private,110978,Some-college,10,Divorced,Craft-repair,Other-relative,Other,Female,0,0,40,United-States,<=50K +28,Private,76714,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K +59,State-gov,268700,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +40,State-gov,170525,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +41,Private,180138,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Iran,>50K +38,Local-gov,115076,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K +23,Private,115458,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,347890,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +41,Self-emp-not-inc,196001,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,20,United-States,<=50K +24,State-gov,273905,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K +20,?,119156,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +38,Private,179488,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,1741,40,United-States,<=50K +56,Private,203580,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,?,<=50K +58,Private,236596,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +32,Private,183916,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,34,United-States,<=50K +40,Private,207578,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,60,United-States,>50K +45,Private,153141,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,?,<=50K +41,Private,112763,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +42,Private,390781,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +59,Local-gov,171328,10th,6,Widowed,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K +19,Local-gov,27382,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +58,Private,259014,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,20,United-States,<=50K +42,Self-emp-not-inc,303044,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,>50K +20,Private,117789,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +32,Private,172579,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +45,Private,187666,Assoc-voc,11,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +50,Private,204518,7th-8th,4,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,150042,Bachelors,13,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +45,Private,98092,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +17,Private,245918,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K +59,Private,146013,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K +26,Private,378322,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Self-emp-inc,257295,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,75,Thailand,>50K +19,?,218956,Some-college,10,Never-married,?,Own-child,White,Male,0,0,24,Canada,<=50K +64,Private,21174,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +33,Private,185480,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +33,Private,222205,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,>50K +61,Private,69867,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +17,Private,191260,9th,5,Never-married,Other-service,Own-child,White,Male,1055,0,24,United-States,<=50K +50,Self-emp-not-inc,30653,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,2407,0,98,United-States,<=50K +27,Local-gov,209109,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K +30,Private,70377,HS-grad,9,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +43,Private,477983,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +44,Private,170924,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +35,Private,190174,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,193787,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +24,Private,279472,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,7298,0,48,United-States,>50K +22,Private,34918,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,15,Germany,<=50K +42,Local-gov,97688,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K +34,Private,175413,Assoc-acdm,12,Divorced,Sales,Unmarried,Black,Female,0,0,45,United-States,<=50K +60,Private,173960,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,42,United-States,<=50K +21,Private,205759,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +57,Federal-gov,425161,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K +41,Private,220531,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +50,Private,176609,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K +25,Private,371987,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Private,193884,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Ecuador,<=50K +36,Private,200352,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +31,Private,127595,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Local-gov,220419,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Male,0,0,56,United-States,<=50K +21,Private,231931,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K +27,Private,248402,Bachelors,13,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +65,Private,111095,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,16,United-States,<=50K +37,Self-emp-inc,57424,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K +39,?,157443,Masters,14,Married-civ-spouse,?,Wife,Asian-Pac-Islander,Female,3464,0,40,?,<=50K +24,Private,278130,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,169469,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,80,United-States,<=50K +48,Private,146268,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,40,United-States,>50K +21,Private,153718,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,25,United-States,<=50K +31,Private,217460,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +55,Private,238638,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4386,0,40,United-States,>50K +24,Private,303296,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,Laos,<=50K +43,Private,173321,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,193945,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K +46,Private,83082,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,33,United-States,<=50K +35,Private,193815,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +41,Self-emp-inc,34987,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,54,United-States,>50K +26,Private,59306,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,142897,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,7298,0,35,Taiwan,>50K +19,?,860348,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,25,United-States,<=50K +36,Self-emp-not-inc,205607,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,>50K +22,Private,199698,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +24,Private,191954,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +77,Self-emp-not-inc,138714,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,399087,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Other-relative,White,Female,0,0,40,Mexico,<=50K +29,Private,423158,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +62,Private,159841,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K +39,Self-emp-not-inc,174308,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,50356,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,50,United-States,<=50K +35,Private,186110,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +29,Private,200381,11th,7,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +76,Self-emp-not-inc,174309,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,10,United-States,<=50K +63,Self-emp-not-inc,78383,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +23,?,211601,Assoc-voc,11,Never-married,?,Own-child,Black,Female,0,0,15,United-States,<=50K +43,Private,187728,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,50,United-States,>50K +58,Self-emp-not-inc,321171,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +66,Private,127921,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,2050,0,55,United-States,<=50K +41,Private,206565,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,45,United-States,<=50K +26,Private,224563,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,178686,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +55,Local-gov,98545,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,242606,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,270942,5th-6th,3,Never-married,Other-service,Other-relative,White,Male,0,0,48,Mexico,<=50K +30,Private,94235,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +49,Private,71195,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +19,Private,104112,HS-grad,9,Never-married,Sales,Unmarried,Black,Male,0,0,30,Haiti,<=50K +45,Private,261192,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +26,Private,94936,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,296478,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +36,State-gov,119272,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,40,United-States,>50K +33,Private,85043,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,20,United-States,<=50K +22,State-gov,293364,Some-college,10,Never-married,Protective-serv,Own-child,Black,Female,0,0,40,United-States,<=50K +43,Self-emp-not-inc,241895,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K +67,?,36135,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +30,?,151989,Assoc-voc,11,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +56,Private,101128,Assoc-acdm,12,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,25,Iran,<=50K +31,Private,156464,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,25,United-States,<=50K +33,Private,117963,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +26,Private,192262,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,111363,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +46,Local-gov,329752,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K +59,?,372020,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +38,Federal-gov,95432,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +65,Private,161400,11th,7,Widowed,Other-service,Unmarried,Other,Male,0,0,40,United-States,<=50K +40,Private,96129,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +42,Private,111949,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K +26,Self-emp-not-inc,117125,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K +36,Private,348022,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,0,0,24,United-States,<=50K +62,Private,270092,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +43,Private,180609,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +43,Private,174575,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,1564,45,United-States,>50K +22,Private,410439,HS-grad,9,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K +28,Private,92262,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +56,Self-emp-not-inc,183081,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +22,Private,362589,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K +57,Private,212448,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K +39,Private,481060,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Federal-gov,185885,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,15,United-States,<=50K +17,Private,89821,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K +40,State-gov,184018,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,>50K +45,Private,256649,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +44,Private,160323,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +20,Local-gov,350845,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +33,Private,267404,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,<=50K +23,Private,35633,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Self-emp-not-inc,80914,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K +38,Private,172927,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +54,Private,174319,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,214955,5th-6th,3,Divorced,Craft-repair,Not-in-family,White,Female,0,2339,45,United-States,<=50K +25,Private,344991,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,108699,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Local-gov,117312,Some-college,10,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,40,United-States,<=50K +23,Private,396099,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +29,Private,134152,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,162028,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,2415,6,United-States,>50K +19,Private,25429,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K +19,Private,232392,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +35,Private,220098,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K +27,Private,301302,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +46,Self-emp-not-inc,277946,Assoc-acdm,12,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,State-gov,98101,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,45,?,>50K +34,Private,196164,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +44,Private,115562,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,96975,Some-college,10,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +20,?,137300,HS-grad,9,Never-married,?,Other-relative,White,Female,0,0,35,United-States,<=50K +25,Private,86872,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +52,Self-emp-inc,132178,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +20,Private,416103,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,108574,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,State-gov,288353,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +34,Private,227689,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,64,United-States,<=50K +28,Private,166481,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,Other,Male,0,2179,40,Puerto-Rico,<=50K +41,Private,445382,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,65,United-States,>50K +28,Private,110145,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +46,Self-emp-not-inc,317253,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K +28,?,123147,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,1887,40,United-States,>50K +32,Private,364657,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +41,Local-gov,42346,Some-college,10,Divorced,Other-service,Not-in-family,Black,Female,0,0,24,United-States,<=50K +24,Private,241951,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K +33,Private,118500,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +46,Private,188386,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +31,State-gov,1033222,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,92440,12th,8,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K +52,Private,190762,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +30,Private,426017,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,19,United-States,<=50K +34,Local-gov,243867,11th,7,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +34,State-gov,240283,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K +20,Private,61777,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +17,Private,175024,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,2176,0,18,United-States,<=50K +32,State-gov,92003,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +29,Private,188401,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,228528,10th,6,Never-married,Craft-repair,Unmarried,White,Female,0,0,35,United-States,<=50K +25,Private,133373,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +36,Federal-gov,255191,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,1408,40,United-States,<=50K +23,Private,204653,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,72,Dominican-Republic,<=50K +63,Self-emp-inc,222289,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +47,Local-gov,287480,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +80,?,107762,HS-grad,9,Widowed,?,Not-in-family,White,Male,0,0,24,United-States,<=50K +17,?,202521,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +40,Self-emp-not-inc,204116,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,2174,0,40,United-States,<=50K +30,Private,29662,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,United-States,>50K +27,Private,116358,Some-college,10,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,1980,40,Philippines,<=50K +33,Private,208405,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +34,Local-gov,284843,HS-grad,9,Never-married,Farming-fishing,Not-in-family,Black,Male,594,0,60,United-States,<=50K +34,Local-gov,117018,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,81281,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +42,Local-gov,340148,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +29,Private,363425,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,45857,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,28,United-States,<=50K +24,Federal-gov,191073,HS-grad,9,Never-married,Armed-Forces,Own-child,White,Male,0,0,40,United-States,<=50K +44,Private,116632,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +27,Private,405855,9th,5,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K +20,Private,298227,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K +44,Private,290521,HS-grad,9,Widowed,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +51,Private,56915,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +20,Private,146538,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +17,?,258872,11th,7,Never-married,?,Own-child,White,Female,0,0,5,United-States,<=50K +19,Private,206399,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +45,Self-emp-inc,197332,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +60,Private,245062,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +42,Private,197583,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,?,>50K +44,Self-emp-not-inc,234885,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +40,Private,72887,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +30,Private,180374,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +38,Private,351299,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,<=50K +23,Private,54012,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +32,?,115745,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,116632,Assoc-acdm,12,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +54,Local-gov,288825,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +32,Private,132601,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +50,Private,193374,1st-4th,2,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +24,Private,170070,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,20,United-States,<=50K +37,Private,126708,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,60,United-States,<=50K +52,Private,35598,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +38,Private,33983,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,192776,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K +30,Private,118551,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,16,United-States,>50K +60,Private,201965,Some-college,10,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,>50K +22,?,139883,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,285020,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,303990,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +67,Private,49401,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K +46,Private,279196,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,211870,9th,5,Never-married,Other-service,Not-in-family,White,Male,0,0,6,United-States,<=50K +22,Private,281432,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +27,Private,161155,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,197904,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +33,Private,111746,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Portugal,<=50K +43,Self-emp-not-inc,170721,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +28,State-gov,70100,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K +41,Private,193626,HS-grad,9,Married-spouse-absent,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +52,?,271749,12th,8,Never-married,?,Other-relative,Black,Male,594,0,40,United-States,<=50K +25,Private,189775,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K +63,?,401531,1st-4th,2,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K +59,Local-gov,286967,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +45,Local-gov,164427,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,91039,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K +40,Private,347934,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +46,Federal-gov,371373,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,32220,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +34,Private,187251,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,25,United-States,<=50K +33,Private,178107,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +41,Private,343121,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,36,United-States,<=50K +20,Private,262749,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,403107,5th-6th,3,Never-married,Other-service,Own-child,White,Male,0,0,40,El-Salvador,<=50K +26,Private,64293,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +72,?,303588,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +23,Local-gov,324960,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Poland,<=50K +62,Local-gov,114060,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,48925,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,180980,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,42,France,<=50K +25,Private,181054,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,388093,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +19,Private,249609,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,8,United-States,<=50K +43,Private,112131,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +47,Local-gov,543162,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +39,Private,91996,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Private,141944,Assoc-voc,11,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,1380,42,United-States,<=50K +53,?,251804,5th-6th,3,Widowed,?,Unmarried,Black,Female,0,0,30,United-States,<=50K +32,Private,37070,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +34,Private,337587,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +28,Private,189346,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +57,?,222216,Assoc-voc,11,Widowed,?,Unmarried,White,Female,0,0,38,United-States,<=50K +25,Private,267044,Some-college,10,Never-married,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K +20,?,214635,Some-college,10,Never-married,?,Own-child,White,Male,0,0,24,United-States,<=50K +21,?,204226,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,35,United-States,<=50K +34,Private,108116,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +38,Self-emp-inc,99146,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,80,United-States,>50K +50,Private,196232,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +24,Local-gov,248344,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,Black,Male,0,0,50,United-States,<=50K +37,Local-gov,186035,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +44,Private,177905,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,58,United-States,>50K +28,Private,85812,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +42,Private,221172,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +74,Private,99183,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,9,United-States,<=50K +38,Self-emp-not-inc,190387,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +44,Self-emp-not-inc,202692,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,109339,11th,7,Divorced,Machine-op-inspct,Unmarried,Other,Female,0,0,46,Puerto-Rico,<=50K +26,Private,108658,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,197202,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +41,Private,101739,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K +67,Private,231559,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,48,United-States,>50K +39,Local-gov,207853,12th,8,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K +57,Private,190942,1st-4th,2,Widowed,Priv-house-serv,Not-in-family,Black,Female,0,0,30,United-States,<=50K +29,Private,102345,Assoc-voc,11,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Self-emp-inc,41493,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,45,United-States,<=50K +34,?,190027,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +44,Private,210525,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,133937,Doctorate,16,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,237903,Some-college,10,Never-married,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,163862,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,201872,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,84179,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,45,United-States,<=50K +58,Private,51662,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,0,0,8,United-States,<=50K +35,Local-gov,233327,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,259510,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,36,United-States,<=50K +28,Private,184831,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +46,Self-emp-not-inc,245724,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +36,Self-emp-not-inc,27053,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +72,Private,205343,11th,7,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,229328,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,United-States,<=50K +33,Federal-gov,319560,Assoc-voc,11,Divorced,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,>50K +69,Private,136218,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,54576,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,323069,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,20,?,<=50K +34,Private,148291,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,32,United-States,<=50K +30,Private,152453,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +28,Private,114053,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K +54,Private,212960,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K +47,Private,264052,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +24,Private,82804,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K +52,Self-emp-not-inc,334273,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +20,Private,27337,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,48,United-States,<=50K +43,Self-emp-inc,188436,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,45,United-States,<=50K +45,Private,433665,7th-8th,4,Separated,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K +29,Self-emp-not-inc,110663,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +47,Private,87490,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,0,0,42,United-States,<=50K +24,Private,354351,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,95469,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,242718,11th,7,Never-married,Sales,Own-child,White,Male,0,0,12,United-States,<=50K +37,Private,22463,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,40,United-States,>50K +27,Private,158156,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,70,United-States,<=50K +29,Private,350162,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Male,0,0,40,United-States,>50K +18,?,165532,12th,8,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +36,Self-emp-not-inc,28738,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +58,Local-gov,283635,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Self-emp-not-inc,86646,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +65,?,195733,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K +57,Private,69884,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +59,Private,199713,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,181659,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,Self-emp-not-inc,340939,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,197747,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K +29,Private,34292,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,<=50K +18,Private,156764,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +52,Private,25826,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,47,United-States,>50K +57,Self-emp-inc,103948,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,80,United-States,<=50K +42,?,137390,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +55,?,105138,HS-grad,9,Married-civ-spouse,?,Wife,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +60,Private,39352,7th-8th,4,Never-married,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,>50K +31,Private,168387,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,Canada,>50K +23,Private,117789,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +27,Private,267147,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +23,?,99399,Some-college,10,Never-married,?,Unmarried,Amer-Indian-Eskimo,Female,0,0,25,United-States,<=50K +42,Self-emp-not-inc,214242,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K +25,Private,200408,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,2174,0,40,United-States,<=50K +49,Private,136455,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +32,Private,239824,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,217039,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,28,United-States,<=50K +60,Private,51290,7th-8th,4,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Local-gov,175674,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,194404,Assoc-acdm,12,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,45612,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,37,United-States,<=50K +51,Private,410114,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +29,Private,182521,HS-grad,9,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +36,Local-gov,339772,HS-grad,9,Separated,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +17,Private,169658,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,21,United-States,<=50K +52,Private,200853,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,6849,0,60,United-States,<=50K +24,Private,247564,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,249909,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +26,Local-gov,208122,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,1055,0,40,United-States,<=50K +27,Private,109881,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +39,Private,207824,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,60,United-States,<=50K +30,Private,369027,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,45,United-States,<=50K +50,Self-emp-not-inc,114117,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,32,United-States,<=50K +52,Self-emp-inc,51048,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +46,Private,102388,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K +23,Private,190483,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +45,Private,462440,11th,7,Widowed,Other-service,Not-in-family,Black,Female,0,0,20,United-States,<=50K +65,Private,109351,9th,5,Widowed,Priv-house-serv,Unmarried,Black,Female,0,0,24,United-States,<=50K +29,Private,34383,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +47,Private,241832,9th,5,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,0,40,El-Salvador,<=50K +30,Private,124187,HS-grad,9,Never-married,Farming-fishing,Own-child,Black,Male,0,0,60,United-States,<=50K +34,Private,153614,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +38,Self-emp-not-inc,267556,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,64,United-States,<=50K +33,Private,205469,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +49,Private,268090,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,26,United-States,>50K +47,Self-emp-not-inc,165039,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +49,Local-gov,120451,10th,6,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +43,Private,154374,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,60,United-States,>50K +30,Private,103649,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,>50K +58,Self-emp-not-inc,35723,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +19,Private,262601,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,14,United-States,<=50K +21,Private,226181,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,175697,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +47,Self-emp-inc,248145,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,Cuba,<=50K +52,Self-emp-not-inc,289436,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +26,Private,75654,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K +60,Private,199378,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,160968,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,188563,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5178,0,50,United-States,>50K +31,Private,55849,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +50,Self-emp-inc,195322,Doctorate,16,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +31,Local-gov,402089,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +71,Private,78277,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,15,United-States,<=50K +58,?,158611,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K +30,State-gov,169496,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +20,Private,130959,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +24,Private,556660,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Male,4101,0,50,United-States,<=50K +35,Private,292472,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K +38,State-gov,143774,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +27,Private,288341,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,32,United-States,<=50K +29,State-gov,71592,Some-college,10,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +70,?,167358,9th,5,Widowed,?,Unmarried,White,Female,1111,0,15,United-States,<=50K +34,Private,106742,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +44,Private,219288,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +43,Private,174524,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +44,Self-emp-not-inc,335183,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,>50K +35,Private,261293,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +27,Private,111900,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Local-gov,194360,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K +20,Private,81145,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +42,Private,341204,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,8614,0,40,United-States,>50K +27,State-gov,249362,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,3411,0,40,United-States,<=50K +42,Private,247019,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +20,?,114746,11th,7,Married-spouse-absent,?,Own-child,Asian-Pac-Islander,Female,0,1762,40,South,<=50K +24,Private,172146,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,1721,40,United-States,<=50K +48,Federal-gov,110457,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,?,80077,11th,7,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +17,Self-emp-not-inc,368700,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,10,United-States,<=50K +33,Private,182556,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +50,Self-emp-inc,219420,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +22,Private,240817,HS-grad,9,Never-married,Sales,Own-child,White,Female,2597,0,40,United-States,<=50K +17,Private,102726,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +32,Private,226267,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K +31,Private,125457,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +58,Self-emp-not-inc,204021,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +29,Local-gov,92262,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,48,United-States,<=50K +37,Private,161141,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,>50K +34,Self-emp-not-inc,190290,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +23,Local-gov,430828,Some-college,10,Separated,Exec-managerial,Unmarried,Black,Male,0,0,40,United-States,<=50K +18,State-gov,59342,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,5,United-States,<=50K +34,Private,136721,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +66,?,149422,7th-8th,4,Never-married,?,Not-in-family,White,Male,0,0,4,United-States,<=50K +45,Local-gov,86644,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,55,United-States,<=50K +41,Private,195124,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,35,Dominican-Republic,<=50K +26,Private,167350,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K +54,Local-gov,113000,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,140027,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,45,United-States,<=50K +42,Private,262425,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +20,Private,316702,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +23,State-gov,335453,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,20,United-States,<=50K +25,?,202480,Assoc-acdm,12,Never-married,?,Other-relative,White,Male,0,0,45,United-States,<=50K +35,Private,203628,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K +31,Private,118710,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,1902,40,United-States,>50K +30,Private,189620,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,Poland,<=50K +19,Private,475028,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +36,Local-gov,110866,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +31,Private,243605,Bachelors,13,Widowed,Sales,Unmarried,White,Female,0,1380,40,Cuba,<=50K +21,Private,163870,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +31,Self-emp-not-inc,80145,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,295566,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Female,25236,0,65,United-States,>50K +44,Private,63042,Bachelors,13,Divorced,Exec-managerial,Own-child,White,Female,0,0,50,United-States,>50K +40,Private,229148,12th,8,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,Jamaica,<=50K +45,Private,242552,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K +60,Private,177665,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +18,Private,208103,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,25,United-States,<=50K +28,Private,296450,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,70282,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +36,Private,271767,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,?,<=50K +40,Private,144995,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,4386,0,40,United-States,<=50K +36,Local-gov,382635,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,Honduras,<=50K +31,Private,295697,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +33,Private,194141,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +19,State-gov,378418,HS-grad,9,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,214399,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +34,Private,217460,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +33,Private,182556,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,125831,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,60,United-States,<=50K +29,Private,271328,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,4650,0,40,United-States,<=50K +50,Local-gov,50459,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K +42,Private,162140,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,45,United-States,>50K +43,Private,177937,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,?,>50K +44,Private,111502,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +20,Private,299047,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +31,Private,223212,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +65,Self-emp-not-inc,118474,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,9386,0,59,?,>50K +23,Private,352139,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K +55,Private,173093,Some-college,10,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +26,Private,181655,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,2377,45,United-States,<=50K +25,Private,332702,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +45,?,51164,Some-college,10,Married-civ-spouse,?,Wife,Black,Female,0,0,40,United-States,<=50K +35,Private,234901,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2407,0,40,United-States,<=50K +36,Private,131414,Some-college,10,Never-married,Sales,Not-in-family,Black,Female,0,0,36,United-States,<=50K +43,State-gov,260960,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +56,Private,156052,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,594,0,20,United-States,<=50K +42,Private,279914,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +19,Private,192453,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,25,United-States,<=50K +55,Self-emp-not-inc,200939,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,72,United-States,<=50K +42,Private,151408,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,14084,0,50,United-States,>50K +26,Private,112847,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +17,Private,316929,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +42,Local-gov,126319,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +55,Private,197422,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,40,United-States,>50K +32,Private,267736,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +29,Private,267034,11th,7,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,Haiti,<=50K +46,State-gov,193047,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,37,United-States,<=50K +29,State-gov,356089,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +22,Private,223515,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Male,0,0,20,United-States,<=50K +58,Self-emp-not-inc,87510,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,145111,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,50,United-States,<=50K +39,Private,48093,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,31757,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,38,United-States,<=50K +54,Private,285854,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +33,Local-gov,120064,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +46,Federal-gov,167381,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +37,Private,103408,HS-grad,9,Never-married,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K +36,Private,101460,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,18,United-States,<=50K +59,Local-gov,420537,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,38,United-States,>50K +34,Local-gov,119411,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Male,0,0,40,Portugal,<=50K +53,Self-emp-inc,128272,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K +51,Private,386773,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,>50K +32,Private,283268,10th,6,Separated,Other-service,Unmarried,White,Female,0,0,42,United-States,<=50K +31,State-gov,301526,Some-college,10,Married-spouse-absent,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K +22,Private,151790,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,Germany,<=50K +47,Self-emp-not-inc,106252,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +32,Private,188557,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,171114,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,38,United-States,<=50K +37,Private,327323,5th-6th,3,Separated,Farming-fishing,Not-in-family,White,Male,0,0,32,Guatemala,<=50K +31,Private,244147,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,55,United-States,<=50K +37,Private,280282,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,24,United-States,>50K +55,Private,116442,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K +23,Local-gov,282579,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Male,0,0,56,United-States,<=50K +36,Private,51838,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,73585,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K +43,Private,226902,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +54,Private,279129,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,State-gov,146908,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K +28,Private,196690,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,1669,42,United-States,<=50K +40,Private,130760,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +41,Self-emp-not-inc,49572,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +40,Private,237601,Bachelors,13,Never-married,Sales,Not-in-family,Other,Female,0,0,55,United-States,>50K +42,Private,169628,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,38,United-States,<=50K +61,Self-emp-not-inc,36671,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2352,50,United-States,<=50K +18,Private,231193,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,United-States,<=50K +59,?,192130,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K +21,?,149704,HS-grad,9,Never-married,?,Not-in-family,White,Female,1055,0,40,United-States,<=50K +48,Private,102102,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +41,Self-emp-inc,32185,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +18,?,196061,Some-college,10,Never-married,?,Own-child,White,Male,0,0,33,United-States,<=50K +23,Private,211046,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,2463,0,40,United-States,<=50K +60,Private,31577,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +22,Private,162343,Some-college,10,Never-married,Other-service,Other-relative,Black,Male,0,0,20,United-States,<=50K +61,Private,128831,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,316688,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +46,Private,90758,Masters,14,Never-married,Tech-support,Not-in-family,White,Male,0,0,35,United-States,>50K +43,Private,274363,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,England,>50K +43,Private,154538,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,106085,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,1721,30,United-States,<=50K +68,Self-emp-not-inc,315859,11th,7,Never-married,Farming-fishing,Unmarried,White,Male,0,0,20,United-States,<=50K +31,Private,51471,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +17,Private,193830,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +32,Private,231043,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,48,United-States,>50K +50,?,23780,Masters,14,Married-spouse-absent,?,Other-relative,White,Male,0,0,40,United-States,<=50K +33,Private,169879,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,47,United-States,>50K +64,Private,270333,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +20,Private,138768,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K +30,Private,191571,HS-grad,9,Separated,Other-service,Own-child,White,Female,0,0,36,United-States,<=50K +22,?,219941,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +43,Private,94113,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +22,Private,137510,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +17,Private,32607,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K +47,Self-emp-not-inc,93208,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,75,Italy,<=50K +41,Private,254440,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +56,Private,186556,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +64,Private,169871,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +47,Private,191277,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +48,Private,167159,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +31,Private,171871,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,46,United-States,<=50K +29,Private,154411,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,129227,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,110331,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,60,United-States,<=50K +57,Private,34269,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Male,0,653,42,United-States,>50K +62,Private,174355,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,680390,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,24,United-States,<=50K +43,Private,233130,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,25,United-States,<=50K +24,Self-emp-inc,165474,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +42,?,257780,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K +53,Private,194259,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,4386,0,40,United-States,>50K +26,Private,280093,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +73,Self-emp-not-inc,177387,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +72,?,28929,11th,7,Widowed,?,Not-in-family,White,Female,0,0,24,United-States,<=50K +55,Private,105304,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,499233,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,180572,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +24,Private,321435,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +63,Private,86108,HS-grad,9,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,6,United-States,<=50K +17,Private,198124,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +35,Private,135162,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +51,Private,146813,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +62,Local-gov,291175,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,<=50K +55,Private,387569,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,United-States,>50K +43,Private,102895,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Local-gov,33274,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +37,Private,86551,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +39,Private,138192,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,118966,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,18,United-States,<=50K +61,Private,99784,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +26,Private,90980,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,55,United-States,<=50K +46,Self-emp-not-inc,177407,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +26,Private,96467,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,State-gov,327886,Doctorate,16,Divorced,Prof-specialty,Own-child,White,Male,0,0,50,United-States,>50K +34,Private,111567,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +34,Local-gov,166545,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +59,Private,142182,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +34,Private,188798,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +49,Private,38563,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,56,United-States,>50K +18,Private,216284,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +43,Private,191547,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +48,Private,285335,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +28,Self-emp-inc,142712,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +33,Private,80945,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,309055,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K +21,Private,62339,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,Private,368700,11th,7,Never-married,Sales,Own-child,White,Male,0,0,28,United-States,<=50K +39,Private,176186,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K +29,Self-emp-not-inc,266855,Bachelors,13,Separated,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +44,Private,48087,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +24,Private,121313,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,50,United-States,<=50K +71,Self-emp-not-inc,143437,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,10605,0,40,United-States,>50K +51,Self-emp-not-inc,160724,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,2415,40,China,>50K +55,Private,282753,5th-6th,3,Divorced,Other-service,Unmarried,Black,Male,0,0,25,United-States,<=50K +41,Private,194636,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +23,Private,153044,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,7,United-States,<=50K +38,Private,411797,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Private,117683,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +19,Private,376540,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +49,Private,72393,9th,5,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,270335,Bachelors,13,Married-civ-spouse,Adm-clerical,Other-relative,White,Male,0,0,40,Philippines,>50K +27,Private,96226,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K +38,Private,95336,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +33,Private,258498,Some-college,10,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,60,United-States,<=50K +63,?,149698,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K +23,Private,205865,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,28,United-States,<=50K +33,Self-emp-inc,155781,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,?,<=50K +54,Self-emp-not-inc,406468,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,<=50K +29,Private,177119,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,2174,0,45,United-States,<=50K +48,?,144397,Some-college,10,Divorced,?,Unmarried,Black,Female,0,0,30,United-States,<=50K +35,Self-emp-not-inc,372525,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,164170,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,India,<=50K +37,Private,183800,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +42,Self-emp-not-inc,177307,Prof-school,15,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,>50K +40,Private,170108,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,341995,Some-college,10,Divorced,Sales,Own-child,White,Male,0,0,55,United-States,<=50K +22,Private,226508,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,50,United-States,<=50K +30,Private,87418,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +28,Private,109165,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +63,Local-gov,28856,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,55,United-States,<=50K +51,Self-emp-not-inc,175897,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +22,Private,99697,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +27,?,90270,Assoc-acdm,12,Married-civ-spouse,?,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +35,Private,152375,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +46,Private,171550,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,38,United-States,<=50K +37,Private,211154,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,52,United-States,<=50K +24,Private,202570,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Male,0,0,15,United-States,<=50K +37,Self-emp-not-inc,168496,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K +53,Private,68898,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,93235,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +38,Private,278924,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K +53,Self-emp-not-inc,311020,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +34,Private,175878,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,543028,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K +39,Private,202027,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K +43,Private,158926,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,50,South,<=50K +67,Self-emp-inc,76860,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +81,Self-emp-not-inc,136063,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K +21,Private,186648,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +23,Private,257509,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K +25,Private,98155,Some-college,10,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +42,Private,274198,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,38,Mexico,<=50K +38,Private,97083,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +64,?,29825,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,5,United-States,<=50K +32,Private,262153,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,214738,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,138022,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +22,Private,91842,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,42,United-States,<=50K +33,Private,373662,1st-4th,2,Married-spouse-absent,Priv-house-serv,Not-in-family,White,Female,0,0,40,Guatemala,<=50K +42,Private,162003,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,55,United-States,<=50K +19,?,52114,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K +51,Local-gov,241843,Preschool,1,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,375871,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Mexico,<=50K +37,Private,186934,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,44,United-States,>50K +37,Private,176900,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,99,United-States,>50K +47,Private,21906,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K +41,Private,132222,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,40,United-States,>50K +33,Private,143653,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +31,Private,111567,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K +31,Private,78602,Assoc-acdm,12,Divorced,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +35,Private,465507,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +38,Self-emp-inc,196373,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +18,Private,293227,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K +20,Private,241752,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +54,Local-gov,166398,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,35,United-States,<=50K +40,Private,184682,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Self-emp-inc,108293,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1977,45,United-States,>50K +43,Private,250802,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K +44,Self-emp-not-inc,325159,Some-college,10,Divorced,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K +44,State-gov,174675,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +43,Private,227065,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,>50K +51,Private,269080,7th-8th,4,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +18,Private,177722,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +51,Private,133461,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,239683,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,?,<=50K +44,Self-emp-inc,398473,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K +33,Local-gov,298785,10th,6,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,123424,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +42,Private,176286,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +25,Private,150062,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +32,Private,169240,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,38,United-States,<=50K +32,Private,288273,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,Mexico,<=50K +36,Private,526968,10th,6,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,57066,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,323573,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +35,Self-emp-inc,368825,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +55,Self-emp-not-inc,189721,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +48,Private,164966,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K +36,?,94954,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +34,Private,202046,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K +28,Private,161538,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,35,United-States,<=50K +67,Private,105252,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Male,0,2392,40,United-States,>50K +37,Private,200153,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,32185,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,70,United-States,<=50K +25,Private,178326,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,255957,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,4101,0,40,United-States,<=50K +40,State-gov,188693,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +78,Private,182977,HS-grad,9,Widowed,Other-service,Not-in-family,Black,Female,2964,0,40,United-States,<=50K +34,Private,159929,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +49,Private,123207,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,44,United-States,<=50K +22,Private,284317,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,?,184699,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +60,Self-emp-not-inc,154474,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,42,United-States,<=50K +45,Local-gov,318280,HS-grad,9,Widowed,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K +63,Private,254907,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +41,Private,349221,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Female,0,0,35,United-States,<=50K +47,Private,335973,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,126701,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +51,Private,122159,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Female,3325,0,40,United-States,<=50K +46,Private,187370,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1504,40,United-States,<=50K +41,Private,194636,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +50,Self-emp-not-inc,124793,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +47,Private,192835,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +35,Private,290226,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +56,Private,112840,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +45,Private,89325,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +48,Federal-gov,33109,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,58,United-States,>50K +40,Private,82465,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2580,0,40,United-States,<=50K +39,Self-emp-inc,329980,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +20,Private,148294,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +50,Private,168212,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,65,United-States,>50K +38,State-gov,343642,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +23,Local-gov,115244,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,60,United-States,<=50K +31,Private,162572,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +58,Private,356067,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +66,Private,271567,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +39,Self-emp-inc,180804,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +54,Self-emp-not-inc,123011,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,52,United-States,>50K +26,Private,109186,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Germany,<=50K +51,Private,220537,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,124827,Assoc-voc,11,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +50,Private,767403,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,40,United-States,>50K +42,Private,118494,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K +38,Private,173208,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K +48,Private,107373,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,26973,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K +51,Private,191965,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K +22,Private,122346,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,?,117201,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +41,Private,198316,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,Japan,<=50K +48,Local-gov,123075,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +42,Private,209370,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +34,Private,33117,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,129042,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +56,Private,169133,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,Yugoslavia,<=50K +30,Private,201624,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,45,?,<=50K +45,Private,368561,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +48,Private,207848,10th,6,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +48,Self-emp-inc,138370,Masters,14,Married-spouse-absent,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,50,India,<=50K +31,Private,93106,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,State-gov,223515,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,1719,20,United-States,<=50K +27,Private,389713,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,206365,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +76,?,431192,7th-8th,4,Widowed,?,Not-in-family,White,Male,0,0,2,United-States,<=50K +19,?,241616,HS-grad,9,Never-married,?,Unmarried,White,Male,0,2001,40,United-States,<=50K +66,Self-emp-inc,150726,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,1409,0,1,?,<=50K +37,Private,123785,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,75,United-States,<=50K +34,Private,289984,HS-grad,9,Divorced,Priv-house-serv,Unmarried,Black,Female,0,0,30,United-States,<=50K +34,?,164309,11th,7,Married-civ-spouse,?,Wife,White,Female,0,0,8,United-States,<=50K +90,Private,137018,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,137994,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +43,Private,341204,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,167005,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K +24,Private,34446,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,37,United-States,<=50K +28,Private,187160,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,0,0,55,United-States,<=50K +64,?,196288,Assoc-acdm,12,Never-married,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +23,Private,217961,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,74631,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +36,Private,156667,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K +61,Private,125155,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +53,Self-emp-not-inc,263925,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Canada,>50K +30,Private,296453,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K +52,Self-emp-not-inc,44728,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +38,Private,193026,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,Iran,<=50K +32,Private,87643,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +30,Self-emp-not-inc,106742,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,75,United-States,<=50K +41,Private,302122,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Local-gov,193960,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +45,Private,185385,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,>50K +43,Self-emp-not-inc,277647,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +61,Private,128848,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3471,0,40,United-States,<=50K +54,Private,377701,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,32,Mexico,<=50K +34,Private,157886,Assoc-acdm,12,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Private,175958,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,>50K +38,Private,223004,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,199352,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,80,United-States,>50K +36,Private,29984,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,181651,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,117312,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Female,0,0,60,United-States,<=50K +22,Local-gov,34029,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K +38,Private,132879,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K +37,Private,215310,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +48,State-gov,55863,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,46,United-States,>50K +17,Private,220384,11th,7,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K +19,Self-emp-not-inc,36012,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +27,Private,137645,Bachelors,13,Never-married,Sales,Not-in-family,Black,Female,0,1590,40,United-States,<=50K +22,Private,191342,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,50,Taiwan,<=50K +49,Private,31339,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,State-gov,227910,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +43,Private,173728,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Local-gov,167816,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +58,Self-emp-not-inc,81642,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +41,Local-gov,195258,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +31,Private,232475,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,241259,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,118161,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,201954,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K +42,Private,150533,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,52,United-States,>50K +38,Private,412296,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,28,United-States,<=50K +41,Federal-gov,133060,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +44,Self-emp-not-inc,120539,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +31,Private,196025,Doctorate,16,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,60,China,<=50K +34,Private,107793,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,163870,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +22,Self-emp-not-inc,361280,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,20,India,<=50K +62,Private,92178,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +19,?,80710,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +29,Self-emp-inc,260729,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,1977,25,United-States,>50K +43,Private,182254,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +68,?,140282,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +45,Self-emp-inc,149865,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,>50K +39,Self-emp-inc,218184,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1651,40,Mexico,<=50K +41,Private,118619,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,<=50K +34,Self-emp-not-inc,196791,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,25,United-States,>50K +34,Local-gov,167999,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,33,United-States,<=50K +31,Private,51259,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,47,United-States,<=50K +29,Private,131088,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +41,Private,118212,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K +41,Private,293791,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +35,Self-emp-inc,289430,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,Mexico,>50K +33,Private,35378,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,45,United-States,>50K +37,State-gov,60227,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K +69,Private,168139,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +34,Private,290763,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +60,Self-emp-inc,226355,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2415,70,?,>50K +36,Private,51100,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,227644,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +58,Local-gov,205267,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +53,Private,288020,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K +29,Private,140863,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +45,Federal-gov,170915,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,4865,0,40,United-States,<=50K +34,State-gov,50178,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,<=50K +36,Private,112497,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,95244,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K +20,Private,117606,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,89508,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +63,Federal-gov,124244,HS-grad,9,Widowed,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,154374,Some-college,10,Divorced,Other-service,Unmarried,White,Male,0,0,45,United-States,<=50K +28,Private,294936,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +30,Private,347132,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +34,?,181934,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,316672,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K +37,Private,189382,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K +42,?,184018,Some-college,10,Divorced,?,Unmarried,White,Male,0,0,40,United-States,<=50K +31,Private,184307,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Jamaica,>50K +46,Self-emp-not-inc,246212,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +35,Federal-gov,250504,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,60,United-States,>50K +27,Private,138705,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,53,United-States,<=50K +41,Private,328447,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Mexico,<=50K +19,Private,194608,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +20,Private,230891,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +59,Federal-gov,212448,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,40,Germany,<=50K +40,Private,214010,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,37,United-States,<=50K +56,Self-emp-not-inc,200235,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +33,Private,354573,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,44,United-States,>50K +30,Self-emp-inc,205733,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +46,Private,185041,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +61,Self-emp-inc,84409,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +50,Self-emp-inc,293196,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +25,Private,241626,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +40,Private,520586,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,39,United-States,<=50K +24,?,35633,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,?,<=50K +51,Private,302847,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,54,United-States,<=50K +43,State-gov,165309,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,117529,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,54,Mexico,<=50K +46,Private,106092,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +28,State-gov,445824,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +26,Private,227332,Bachelors,13,Never-married,Transport-moving,Unmarried,Asian-Pac-Islander,Male,0,0,40,?,<=50K +20,Private,275691,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,28,United-States,<=50K +44,Private,193459,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,3411,0,40,United-States,<=50K +51,Private,284329,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +33,Private,114691,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +54,Private,96062,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +50,Private,133963,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,40,United-States,>50K +33,Private,178506,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +65,Private,350498,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,10605,0,20,United-States,>50K +22,?,131573,Some-college,10,Never-married,?,Own-child,White,Female,0,0,8,United-States,<=50K +88,Self-emp-not-inc,206291,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,182302,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Private,241346,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K +50,Private,157043,11th,7,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +25,Private,404616,Masters,14,Married-civ-spouse,Farming-fishing,Not-in-family,White,Male,0,0,99,United-States,>50K +20,Private,411862,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +47,Private,183013,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +58,?,169982,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +22,Private,188544,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +50,State-gov,356619,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K +47,Private,45857,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Local-gov,289886,11th,7,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,45,United-States,<=50K +50,?,146015,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +40,Private,216237,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K +36,Private,416745,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,202952,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,167725,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,?,165637,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +59,Federal-gov,43280,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K +65,Private,118779,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +24,State-gov,191269,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,65,United-States,<=50K +27,Local-gov,247507,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K +51,Private,239155,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,182862,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Private,33886,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +28,Private,444304,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,187161,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +49,Local-gov,116892,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +51,Local-gov,176813,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +59,Private,151616,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +18,Private,240747,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,Dominican-Republic,<=50K +50,Private,75472,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,?,<=50K +45,Federal-gov,320818,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,80,United-States,>50K +30,Local-gov,235271,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +37,Private,166497,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +44,Private,344060,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,>50K +33,Private,221196,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +61,Self-emp-inc,113544,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +61,Local-gov,321117,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,79619,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,42,United-States,>50K +22,?,42004,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +36,Private,135289,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +44,Self-emp-inc,320984,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5178,0,60,United-States,>50K +37,Private,203070,Some-college,10,Separated,Adm-clerical,Own-child,White,Male,0,0,62,United-States,<=50K +31,Private,32406,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,20,United-States,<=50K +54,Private,99185,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K +20,Private,205839,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +63,?,150389,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,>50K +48,Self-emp-not-inc,243631,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,7688,0,40,United-States,>50K +33,?,163003,HS-grad,9,Divorced,?,Not-in-family,Asian-Pac-Islander,Female,0,0,41,China,<=50K +31,Private,231263,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,4650,0,45,United-States,<=50K +38,Private,200818,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +45,Self-emp-not-inc,247379,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +48,Private,349151,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,22154,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,176317,HS-grad,9,Widowed,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +38,Private,22245,Masters,14,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,72,?,>50K +29,Private,236436,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,354078,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +42,Self-emp-not-inc,166813,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +50,Private,358740,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,England,<=50K +75,Self-emp-not-inc,208426,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +46,Private,265266,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +52,Federal-gov,31838,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,175034,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,413297,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +31,Private,106347,11th,7,Separated,Other-service,Not-in-family,Black,Female,0,0,42,United-States,<=50K +23,Private,174754,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +34,Private,441454,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,24,United-States,<=50K +41,Self-emp-not-inc,209344,HS-grad,9,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,40,Cuba,<=50K +31,Private,185732,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +42,Private,65372,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,33975,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +55,Private,326297,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +36,State-gov,194630,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +65,Self-emp-not-inc,167414,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,59,United-States,>50K +38,Local-gov,165799,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,12,United-States,<=50K +62,Private,192866,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +54,Self-emp-inc,166459,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K +49,Private,148995,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,190040,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +32,Private,209432,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +51,Self-emp-inc,229465,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +48,Self-emp-not-inc,397466,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +30,Private,283767,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,?,<=50K +52,Federal-gov,202452,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K +28,Self-emp-not-inc,218555,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,1762,40,United-States,<=50K +29,Private,128604,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +38,Private,65466,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +57,Private,141326,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +43,Federal-gov,369468,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +37,State-gov,136137,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,236770,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,89534,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,>50K +69,?,195779,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,1,United-States,<=50K +73,Private,29778,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K +22,Self-emp-inc,153516,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +31,Private,163594,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +38,Private,189623,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +50,Self-emp-not-inc,343748,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +37,Private,387430,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,37,United-States,<=50K +44,Local-gov,409505,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,200734,Bachelors,13,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,45,United-States,<=50K +27,Private,115831,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,150296,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Female,0,0,80,United-States,<=50K +25,Private,323545,HS-grad,9,Never-married,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K +20,Private,232577,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Local-gov,152754,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +46,Private,129007,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K +67,Private,171584,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,6514,0,7,United-States,>50K +47,Private,386136,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K +42,Private,342865,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,186785,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,1876,50,United-States,<=50K +42,Federal-gov,158926,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K +65,?,36039,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +21,Private,164019,Some-college,10,Never-married,Farming-fishing,Own-child,Black,Male,0,0,10,United-States,<=50K +50,Private,88926,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,5178,0,40,United-States,>50K +46,Private,188861,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,370119,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +57,Private,182062,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,37238,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +50,Private,421132,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +58,?,178660,12th,8,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +63,Self-emp-not-inc,795830,1st-4th,2,Widowed,Other-service,Unmarried,White,Female,0,0,30,El-Salvador,<=50K +39,Private,278403,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K +46,Private,279661,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,35,United-States,<=50K +36,Private,113397,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,280093,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1628,50,United-States,<=50K +21,Private,236696,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,57,United-States,<=50K +41,Private,265266,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +44,Local-gov,34935,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +22,Private,58222,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Federal-gov,301010,Some-college,10,Never-married,Armed-Forces,Not-in-family,Black,Male,0,0,60,United-States,<=50K +29,Private,419721,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,Japan,<=50K +58,Self-emp-inc,186791,Some-college,10,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,40,United-States,>50K +36,Self-emp-not-inc,180686,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,209103,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K +37,Private,32668,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,>50K +29,Private,256956,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,202203,5th-6th,3,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K +43,Private,85995,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +49,Private,125421,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,>50K +45,Federal-gov,283037,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,192932,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,?,244689,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,25,United-States,<=50K +51,Private,179646,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,509350,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,Canada,>50K +24,Private,96279,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,119098,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +35,?,327120,Assoc-acdm,12,Never-married,?,Not-in-family,White,Male,0,0,55,United-States,<=50K +41,State-gov,144928,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +48,Private,55237,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +61,Local-gov,101265,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,1471,0,35,United-States,<=50K +20,Private,114874,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +27,Private,190525,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +55,Private,121912,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,24,United-States,>50K +39,Private,83893,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +17,?,138507,10th,6,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +47,Private,256522,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,?,<=50K +52,Private,168381,HS-grad,9,Widowed,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,40,India,>50K +24,Private,293579,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K +29,Private,285290,11th,7,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +25,Private,188488,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +20,Private,324469,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,275244,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,35,United-States,<=50K +57,Private,265099,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +51,Private,146767,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +33,Private,40681,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,3674,0,16,United-States,<=50K +39,Private,174938,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,240124,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +71,Private,269708,Bachelors,13,Divorced,Tech-support,Own-child,White,Female,2329,0,16,United-States,<=50K +38,State-gov,34180,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +28,State-gov,225904,Prof-school,15,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +57,Private,89392,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,46857,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,State-gov,105363,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,195105,HS-grad,9,Never-married,Sales,Not-in-family,Other,Male,0,0,40,United-States,<=50K +35,Private,184117,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +61,Self-emp-inc,134768,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Germany,>50K +17,?,145886,11th,7,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +36,Private,153078,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,?,>50K +62,?,225652,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,3411,0,50,United-States,<=50K +34,Private,467108,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +32,Self-emp-inc,199765,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,50,United-States,>50K +42,Private,173938,HS-grad,9,Separated,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +39,Private,191161,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,132606,5th-6th,3,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +61,Self-emp-not-inc,30073,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1848,60,United-States,>50K +40,Private,155190,10th,6,Never-married,Craft-repair,Other-relative,Black,Male,0,0,55,United-States,<=50K +31,Private,42900,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,37,United-States,<=50K +36,Private,191161,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +23,Private,181820,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,105974,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,41,United-States,<=50K +52,Private,146378,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +22,Private,103440,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K +51,Private,203435,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,Italy,<=50K +31,Federal-gov,168312,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Self-emp-inc,257764,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Private,171301,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,United-States,<=50K +53,Federal-gov,225339,Some-college,10,Widowed,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +52,Private,152234,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,99999,0,40,Japan,>50K +20,Private,444554,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,403788,Assoc-acdm,12,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +61,?,190997,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K +43,Private,221550,Masters,14,Never-married,Other-service,Not-in-family,White,Female,0,0,30,Poland,<=50K +46,Self-emp-inc,98929,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,<=50K +43,Local-gov,169203,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +41,Private,102332,HS-grad,9,Divorced,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +44,Self-emp-not-inc,230684,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +54,Private,449257,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +65,Private,198766,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,20051,0,40,United-States,>50K +32,Private,97429,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,Canada,<=50K +25,Private,208999,Some-college,10,Separated,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,37072,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +25,Local-gov,163101,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +19,Private,119075,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K +37,Self-emp-not-inc,137314,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +45,Private,127303,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,45,United-States,<=50K +37,Private,349116,HS-grad,9,Never-married,Sales,Not-in-family,Black,Male,0,0,44,United-States,<=50K +40,Self-emp-not-inc,266324,Some-college,10,Divorced,Exec-managerial,Other-relative,White,Male,0,1564,70,Iran,>50K +19,?,194095,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +17,Private,46496,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,5,United-States,<=50K +27,Private,29904,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Local-gov,289403,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,1887,40,?,>50K +59,Private,226922,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,1762,30,United-States,<=50K +19,Federal-gov,234151,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +43,Private,238287,10th,6,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +42,Private,230624,10th,6,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,>50K +54,Private,398212,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,5013,0,40,United-States,<=50K +54,Self-emp-not-inc,114758,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +51,Private,246519,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,2105,0,45,United-States,<=50K +50,Private,137815,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +40,Private,260696,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Private,325007,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,25,United-States,<=50K +50,Private,113176,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,66815,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +42,?,51795,HS-grad,9,Divorced,?,Unmarried,Black,Female,0,0,32,United-States,<=50K +24,Private,241523,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,>50K +30,Private,30226,11th,7,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +39,Local-gov,352628,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,50,United-States,>50K +37,Private,143912,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +33,Private,130021,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,329778,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Self-emp-inc,196945,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,78,Thailand,<=50K +39,Private,24342,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +53,Private,34368,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +52,Self-emp-not-inc,173839,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +28,State-gov,73211,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K +32,Private,86723,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,52,United-States,<=50K +31,Private,179186,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,90,United-States,>50K +31,Private,127610,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +47,Private,115070,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,?,172582,Some-college,10,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K +40,Private,256202,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +40,Private,202872,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,45,United-States,<=50K +41,Private,184102,11th,7,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Federal-gov,130703,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +46,Private,134727,11th,7,Divorced,Machine-op-inspct,Unmarried,Amer-Indian-Eskimo,Male,0,0,43,Germany,<=50K +45,Self-emp-inc,36228,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,4386,0,35,United-States,>50K +39,Private,297847,9th,5,Married-civ-spouse,Other-service,Wife,Black,Female,3411,0,34,United-States,<=50K +19,Private,213644,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,173796,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,40,United-States,>50K +49,Private,147322,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Peru,<=50K +59,Private,296253,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,180871,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +18,?,169882,Some-college,10,Never-married,?,Own-child,White,Female,594,0,15,United-States,<=50K +35,State-gov,211115,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K +58,Self-emp-inc,183870,10th,6,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,40,United-States,<=50K +28,Private,441620,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,43,Mexico,<=50K +36,Federal-gov,218542,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +41,Self-emp-not-inc,141327,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K +47,Private,67716,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +50,Self-emp-inc,175339,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,60,United-States,<=50K +61,?,347089,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K +36,Private,336595,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +38,Private,27997,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Self-emp-not-inc,145574,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,1902,60,United-States,>50K +50,Private,30447,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +45,Self-emp-not-inc,256866,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5013,0,40,United-States,<=50K +44,Self-emp-not-inc,120837,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,66,United-States,<=50K +51,Private,185283,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +44,Self-emp-inc,229466,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +25,Private,298225,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +60,Private,185749,11th,7,Widowed,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K +17,?,333100,10th,6,Never-married,?,Own-child,White,Male,1055,0,30,United-States,<=50K +49,Self-emp-inc,125892,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +46,Private,563883,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,60,United-States,>50K +56,Private,311249,HS-grad,9,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,38,United-States,<=50K +25,Private,221757,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,3325,0,45,United-States,<=50K +22,Private,310152,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +76,?,211453,HS-grad,9,Widowed,?,Not-in-family,Black,Female,0,0,2,United-States,<=50K +41,Self-emp-inc,94113,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +48,Self-emp-inc,192945,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +46,Private,161508,10th,6,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +30,Private,177675,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K +39,Private,51100,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +40,Private,100584,10th,6,Divorced,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +70,Federal-gov,163003,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +35,Private,67728,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,45,United-States,<=50K +49,Private,101320,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,75,United-States,<=50K +24,Private,42706,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,60,United-States,<=50K +40,Private,228535,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,36,United-States,>50K +61,Private,120939,Prof-school,15,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,5,United-States,>50K +25,Private,98283,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +28,Local-gov,216481,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +69,State-gov,208869,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,11,United-States,<=50K +22,Private,207940,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,36,United-States,<=50K +47,Private,34248,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K +38,Private,83727,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,48,United-States,<=50K +26,Private,183077,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +17,Private,197850,11th,7,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,24,United-States,<=50K +33,Self-emp-not-inc,235271,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +43,Self-emp-not-inc,35236,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Private,255822,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +53,Self-emp-inc,263925,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,99999,0,40,United-States,>50K +26,Private,256263,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,25,United-States,<=50K +43,Local-gov,293535,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K +31,Private,209448,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,2105,0,40,Mexico,<=50K +30,Private,57651,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,2001,42,United-States,<=50K +25,Private,174592,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +57,Federal-gov,278763,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,175232,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,>50K +32,Private,402812,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +26,Private,101150,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,41,United-States,<=50K +45,Private,103538,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +53,State-gov,156877,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,15024,0,35,United-States,>50K +27,Private,23940,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +28,Self-emp-inc,210295,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +32,Private,80058,11th,7,Divorced,Sales,Not-in-family,White,Male,0,0,43,United-States,>50K +35,Private,187119,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,1980,65,United-States,<=50K +36,Self-emp-not-inc,105021,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +19,Private,225775,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Self-emp-inc,395831,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,>50K +49,Private,50282,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,3325,0,45,United-States,<=50K +20,Private,32732,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K +64,Self-emp-inc,179436,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K +60,?,290593,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,123253,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K +58,State-gov,48433,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,245317,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +20,Private,431745,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,14,United-States,<=50K +42,State-gov,436006,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +25,Private,224943,Some-college,10,Married-spouse-absent,Prof-specialty,Unmarried,Black,Male,0,0,40,United-States,<=50K +30,Self-emp-not-inc,167990,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,65,United-States,>50K +37,Self-emp-inc,217054,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +66,Self-emp-not-inc,298834,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +59,Self-emp-inc,125000,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,England,>50K +44,Private,123983,Bachelors,13,Divorced,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,China,<=50K +46,Private,155489,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,58,United-States,>50K +59,Private,284834,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,2885,0,30,United-States,<=50K +25,Private,212495,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,1340,40,United-States,<=50K +17,Local-gov,32124,9th,5,Never-married,Other-service,Own-child,Black,Male,0,0,9,United-States,<=50K +47,Local-gov,246891,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +47,State-gov,141483,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,31985,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +20,Private,170800,Some-college,10,Never-married,Farming-fishing,Own-child,White,Female,0,0,40,United-States,<=50K +26,Local-gov,166295,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,2339,55,United-States,<=50K +20,Private,231286,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,15,United-States,<=50K +33,Private,159322,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +48,Private,176026,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,118025,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K +37,Private,26898,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,12,United-States,<=50K +47,Private,232628,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +40,Private,85995,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +48,Private,125421,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K +49,Private,245305,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,42,United-States,>50K +50,Private,73493,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,197058,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,122116,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,75742,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,214731,10th,6,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +35,Private,265954,HS-grad,9,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +26,State-gov,197156,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +62,Private,162245,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1628,70,United-States,<=50K +39,Local-gov,203070,HS-grad,9,Separated,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,Local-gov,165695,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +69,?,473040,5th-6th,3,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,168107,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,163494,10th,6,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +38,Private,180342,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,122381,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,50,United-States,>50K +27,Private,148069,10th,6,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,200973,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +17,Private,130806,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K +56,Private,117148,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,213977,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +62,Private,134768,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,?,>50K +44,Private,139338,12th,8,Divorced,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K +23,Private,315877,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K +41,Self-emp-not-inc,195124,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,?,<=50K +25,Private,352057,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K +21,Private,236684,Some-college,10,Never-married,Other-service,Other-relative,Black,Female,0,0,8,United-States,<=50K +18,Private,208447,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,6,United-States,<=50K +45,Private,149640,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +75,?,111177,Bachelors,13,Widowed,?,Not-in-family,White,Female,25124,0,16,United-States,>50K +51,Private,154342,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +42,Federal-gov,141459,HS-grad,9,Separated,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K +47,Private,111797,Some-college,10,Never-married,Other-service,Not-in-family,Black,Female,0,0,35,Outlying-US(Guam-USVI-etc),<=50K +29,Private,111900,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,78707,11th,7,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +43,Local-gov,160574,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,?,174714,Some-college,10,Never-married,?,Own-child,White,Male,0,0,16,United-States,<=50K +19,?,62534,Bachelors,13,Never-married,?,Own-child,Black,Female,0,0,40,Jamaica,<=50K +44,Private,216907,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,40,United-States,>50K +24,Private,198148,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +19,Private,124265,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +49,?,261059,10th,6,Separated,?,Own-child,White,Male,2176,0,40,United-States,<=50K +52,Private,208137,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,257250,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,52,United-States,<=50K +24,State-gov,147253,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K +32,Local-gov,244268,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +72,?,213255,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,8,United-States,<=50K +26,Private,266912,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +31,Private,169104,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,40,?,<=50K +29,Private,200511,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,128715,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,10520,0,40,United-States,>50K +48,Self-emp-not-inc,65535,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,103395,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +51,Private,71046,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,45,Scotland,<=50K +28,Self-emp-not-inc,125442,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,169188,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K +23,Private,121471,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +65,Private,207281,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,16,United-States,<=50K +26,Local-gov,46097,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +20,?,206671,Some-college,10,Never-married,?,Own-child,White,Male,1055,0,50,United-States,<=50K +55,Private,98361,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,?,>50K +38,Self-emp-not-inc,322143,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,10,United-States,<=50K +33,Private,149184,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K +33,Local-gov,119829,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,60,United-States,<=50K +37,Private,910398,Bachelors,13,Never-married,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K +19,Private,176570,11th,7,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,60,United-States,<=50K +24,Private,216129,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +30,Private,27207,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +57,State-gov,68830,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +22,State-gov,178818,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K +57,Private,236944,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K +46,State-gov,273771,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +67,Private,318533,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K +35,?,451940,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +47,Private,102318,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +39,Private,379350,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,21095,Some-college,10,Divorced,Other-service,Unmarried,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +58,Self-emp-not-inc,211547,12th,8,Divorced,Sales,Not-in-family,White,Female,0,0,52,United-States,<=50K +36,Private,85272,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,>50K +45,Private,46406,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,England,>50K +54,Private,53833,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +26,Private,161007,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +60,Private,53707,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +46,Private,370119,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K +26,Private,310907,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,United-States,<=50K +32,Private,375833,11th,7,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +38,Local-gov,107513,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +48,Self-emp-not-inc,58683,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K +44,Self-emp-not-inc,179557,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K +37,Private,70240,HS-grad,9,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +44,Private,147206,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,175548,HS-grad,9,Never-married,Other-service,Not-in-family,Other,Female,0,0,35,United-States,<=50K +61,Self-emp-not-inc,163174,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +51,Private,126010,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,147876,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,15024,0,60,United-States,>50K +45,Private,428350,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,1740,40,United-States,<=50K +36,?,200904,Assoc-acdm,12,Married-civ-spouse,?,Wife,Black,Female,0,0,21,Haiti,<=50K +39,Private,328466,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,2407,0,70,Mexico,<=50K +67,Local-gov,258973,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K +40,State-gov,345969,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +27,Private,127796,5th-6th,3,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,35,Mexico,<=50K +37,Private,405723,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +57,Private,175942,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +27,Private,284196,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,89718,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,2202,0,48,United-States,<=50K +34,Self-emp-inc,175761,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +54,Private,206369,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,50,United-States,>50K +52,Private,158993,HS-grad,9,Divorced,Other-service,Other-relative,Black,Female,0,0,38,United-States,<=50K +42,Private,285066,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +48,Private,126754,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +65,State-gov,209280,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,6514,0,35,United-States,>50K +55,Self-emp-not-inc,52888,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,10,United-States,<=50K +71,Self-emp-inc,133821,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K +33,Private,240763,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +30,Private,39054,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,119272,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +59,Private,143372,10th,6,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +19,Private,323421,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +36,Self-emp-not-inc,136028,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +26,Self-emp-not-inc,163189,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +34,Local-gov,202729,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,421871,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +44,Private,120277,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,Italy,>50K +26,?,211798,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Private,198901,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +18,Private,214617,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,16,United-States,<=50K +55,Self-emp-not-inc,179715,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,18,United-States,<=50K +49,Local-gov,107231,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2002,40,United-States,<=50K +44,Private,110355,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +43,Private,184378,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +62,Private,273454,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Cuba,<=50K +44,Private,443040,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +39,?,71701,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +50,Self-emp-inc,160151,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +35,Private,107991,11th,7,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +52,Private,94391,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,99835,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +44,Private,43711,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K +43,Private,83756,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K +51,Private,120914,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,2961,0,40,United-States,<=50K +20,Private,180052,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +47,Private,170846,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Italy,>50K +43,Private,37937,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K +64,?,168340,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,?,>50K +24,Private,38455,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Federal-gov,128059,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,420895,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,166744,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,12,United-States,<=50K +26,Private,238768,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K +43,Private,176270,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,60,United-States,>50K +50,Private,140592,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +20,Self-emp-not-inc,211466,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,80,United-States,<=50K +37,Private,188540,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,45,United-States,>50K +43,Private,39581,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,45,United-States,<=50K +37,Private,171150,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K +53,Private,117496,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,0,36,Canada,<=50K +44,Private,145160,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +25,Private,28520,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,103851,11th,7,Never-married,Adm-clerical,Own-child,White,Female,1055,0,20,United-States,<=50K +19,Private,375077,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K +53,State-gov,281590,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,40,United-States,>50K +44,Private,151504,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +51,Private,415287,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,1902,40,United-States,>50K +49,Private,32212,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,43,United-States,<=50K +35,Private,123606,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,202565,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +54,Private,177927,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +37,Private,256723,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K +18,Private,46247,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +24,Private,266926,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,112031,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,50,United-States,<=50K +22,?,376277,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +35,Private,168817,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Private,187487,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +32,?,158784,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,67222,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,45,China,<=50K +43,Private,201723,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K +73,Private,267408,HS-grad,9,Widowed,Sales,Other-relative,White,Female,0,0,15,United-States,<=50K +47,Federal-gov,168191,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K +49,Private,105444,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,39,United-States,<=50K +38,Private,156728,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +31,Private,148600,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +39,Private,19914,Some-college,10,Divorced,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +42,Private,190767,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,233955,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,45,China,>50K +35,Private,30381,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +38,Private,187069,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +31,Private,367314,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Local-gov,101119,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,70,United-States,<=50K +38,Private,86551,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,48,United-States,>50K +40,Local-gov,218995,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K +21,Private,57711,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +44,Private,303521,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +55,Private,199067,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +29,Private,247445,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +49,Private,186078,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +31,Private,77634,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,42,United-States,<=50K +24,Private,180060,Masters,14,Never-married,Exec-managerial,Own-child,White,Male,6849,0,90,United-States,<=50K +46,Private,56482,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +26,Private,314177,HS-grad,9,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K +35,Private,239755,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,38,United-States,<=50K +27,Private,377680,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +64,Self-emp-not-inc,134960,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,35,United-States,>50K +26,Private,294493,Bachelors,13,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +21,Private,32616,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,1719,16,United-States,<=50K +45,Private,182655,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,45,?,>50K +57,Local-gov,52267,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,72,United-States,<=50K +30,Private,117963,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +45,Private,98881,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,32,United-States,<=50K +50,Private,196963,7th-8th,4,Divorced,Craft-repair,Not-in-family,White,Female,0,0,30,United-States,<=50K +38,Private,166988,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +43,Self-emp-not-inc,193459,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +42,Private,182342,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +32,Private,496743,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,154781,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,219371,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +45,Private,99179,11th,7,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Private,224910,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,304651,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +37,Private,349689,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +60,Private,106850,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Self-emp-not-inc,196328,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,45,United-States,>50K +25,Private,169323,Bachelors,13,Married-civ-spouse,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +47,Self-emp-not-inc,162924,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,60,Japan,<=50K +40,Self-emp-not-inc,34037,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,70,United-States,<=50K +51,?,167651,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,197384,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +42,Private,251795,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +65,?,266081,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,165309,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,215873,10th,6,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,45,United-States,<=50K +46,Private,133938,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,27828,0,50,United-States,>50K +49,Private,159816,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,99999,0,20,United-States,>50K +24,Private,228424,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K +32,Private,195576,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +71,Private,105200,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,6767,0,20,United-States,<=50K +26,Private,167350,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,3103,0,40,United-States,>50K +29,Private,52199,HS-grad,9,Married-spouse-absent,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,171338,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K +51,Private,120173,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,50,United-States,>50K +17,?,158762,10th,6,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +49,Private,169818,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,>50K +31,Private,288419,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,207546,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +59,Local-gov,147707,HS-grad,9,Widowed,Farming-fishing,Unmarried,White,Male,0,2339,40,United-States,<=50K +17,?,228373,10th,6,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +43,Private,193882,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K +38,Private,31033,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K +37,Private,272950,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,183523,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +39,Private,238415,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +31,Private,19302,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,2202,0,38,United-States,<=50K +42,Local-gov,339671,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,8614,0,45,United-States,>50K +35,Local-gov,103260,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K +39,Private,79331,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,15024,0,40,United-States,>50K +40,Private,135056,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +66,Private,142723,5th-6th,3,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K +30,Federal-gov,188569,9th,5,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,57322,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,178309,9th,5,Never-married,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K +45,Private,166107,Masters,14,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +31,Private,53042,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,Trinadad&Tobago,<=50K +33,Private,155343,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3103,0,40,United-States,>50K +32,Private,35595,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,429507,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +50,Federal-gov,159670,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +63,Private,151210,7th-8th,4,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,186792,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,204640,Some-college,10,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +52,Private,87205,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K +38,Self-emp-inc,112847,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +41,Private,107306,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,2174,0,40,United-States,<=50K +50,State-gov,211319,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K +59,Private,183606,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,205390,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,49,United-States,<=50K +73,Local-gov,232871,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,2228,0,10,United-States,<=50K +52,Self-emp-inc,101017,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,38,United-States,<=50K +57,Private,114495,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +35,Private,183898,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K +51,Private,163921,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,56,United-States,>50K +22,Private,311764,11th,7,Widowed,Sales,Own-child,Black,Female,0,0,35,United-States,<=50K +49,Private,188330,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +22,Private,267174,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +46,Local-gov,36228,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,<=50K +48,Private,199739,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +52,Private,185407,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K +43,State-gov,206139,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +25,Private,282063,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +31,Private,332379,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,418324,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,36,United-States,<=50K +19,?,263338,Some-college,10,Never-married,?,Own-child,White,Male,0,0,45,United-States,<=50K +51,Private,158948,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,84,United-States,>50K +51,Private,221532,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,>50K +22,Self-emp-not-inc,202920,HS-grad,9,Never-married,Prof-specialty,Unmarried,White,Female,99999,0,40,Dominican-Republic,>50K +37,Local-gov,118909,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K +19,Private,286469,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +45,Private,191914,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Female,0,0,55,United-States,<=50K +21,State-gov,142766,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K +52,Private,198744,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Local-gov,272780,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,24,United-States,<=50K +42,State-gov,219553,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K +56,Private,261232,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,64292,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Private,312131,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +70,Private,30713,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +30,Private,246439,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +45,Private,338105,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +23,Private,228243,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K +34,Local-gov,62463,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1579,40,United-States,<=50K +38,Private,31603,Bachelors,13,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,<=50K +24,Private,165054,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,121618,7th-8th,4,Never-married,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +45,Federal-gov,273194,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,3325,0,40,United-States,<=50K +21,?,163665,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +21,Private,538319,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,Puerto-Rico,<=50K +34,Private,238246,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Self-emp-inc,244665,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,45,United-States,>50K +21,Private,131811,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +63,?,231777,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K +23,Private,156807,9th,5,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,36,United-States,<=50K +28,Private,236861,Bachelors,13,Divorced,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K +29,Self-emp-not-inc,229842,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Male,0,0,45,United-States,<=50K +25,Local-gov,190057,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +44,State-gov,55076,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +18,Private,152545,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,8,United-States,<=50K +26,Private,153434,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K +47,Local-gov,171095,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K +23,Private,239322,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,138999,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +61,Local-gov,95450,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,50,United-States,>50K +25,Private,176520,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +38,Local-gov,72338,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,54,United-States,>50K +60,?,386261,Bachelors,13,Married-spouse-absent,?,Unmarried,Black,Female,0,0,15,United-States,<=50K +23,Private,235722,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K +36,Federal-gov,128884,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,48,United-States,<=50K +46,Private,187226,9th,5,Divorced,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K +32,Self-emp-not-inc,298332,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +40,Private,173607,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,226756,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K +31,Private,157887,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +32,State-gov,171111,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,37,United-States,<=50K +21,Private,126314,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K +63,Private,174018,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K +44,Private,144778,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K +42,Self-emp-not-inc,201522,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +23,?,22966,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K +30,Private,399088,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +24,Private,282202,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,El-Salvador,<=50K +42,Private,102606,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +44,Self-emp-not-inc,246862,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,Italy,>50K +27,Federal-gov,508336,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,48,United-States,<=50K +27,Local-gov,263431,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +22,Private,235733,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K +68,Private,107910,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Self-emp-not-inc,184425,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,>50K +22,Self-emp-not-inc,143062,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,Greece,<=50K +25,Private,199545,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,15,United-States,<=50K +68,Self-emp-not-inc,197015,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +62,Private,149617,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,16,United-States,<=50K +26,Private,33610,HS-grad,9,Divorced,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K +34,Private,192002,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +68,Private,67791,Some-college,10,Widowed,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Local-gov,445382,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K +45,Private,112283,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +26,Private,157249,11th,7,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,109872,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +23,Private,119838,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,United-States,<=50K +29,Private,149943,Some-college,10,Never-married,Other-service,Not-in-family,Other,Male,0,1590,40,?,<=50K +65,Without-pay,27012,7th-8th,4,Widowed,Farming-fishing,Unmarried,White,Female,0,0,50,United-States,<=50K +31,Private,91666,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +26,Private,270276,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,179271,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +44,Private,161819,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +45,Local-gov,339681,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,1506,0,45,United-States,<=50K +26,Self-emp-not-inc,219897,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +26,Private,91683,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K +36,Private,188834,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,187046,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +39,Private,191807,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,48,United-States,<=50K +52,Self-emp-inc,179951,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,324420,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Mexico,<=50K +41,Self-emp-not-inc,66632,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Local-gov,121718,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,United-States,>50K +47,Private,162034,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K +28,Local-gov,218990,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,46,United-States,<=50K +25,Local-gov,125863,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K +35,Private,225330,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,120426,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,119741,Masters,14,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +44,Private,32000,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,18,United-States,>50K +21,?,124242,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +27,Private,278581,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +30,Private,230224,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K +30,Private,204374,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1741,48,United-States,<=50K +45,Private,188386,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1628,45,United-States,<=50K +20,Private,164922,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +57,Private,195176,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,80,United-States,<=50K +43,Private,166740,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,<=50K +50,?,156008,11th,7,Married-civ-spouse,?,Own-child,Black,Female,0,0,40,United-States,<=50K +28,Private,162551,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Female,0,0,48,China,<=50K +25,Private,211231,HS-grad,9,Married-civ-spouse,Tech-support,Other-relative,White,Female,0,0,48,United-States,>50K +25,Private,169990,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +90,Private,221832,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +38,Local-gov,255454,Bachelors,13,Separated,Prof-specialty,Unmarried,Black,Male,0,0,40,United-States,<=50K +35,Private,28160,Bachelors,13,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +50,State-gov,159219,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Canada,>50K +26,Local-gov,103148,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,165186,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +56,Private,31782,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +24,Local-gov,249101,HS-grad,9,Divorced,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K +46,Private,243190,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,40,United-States,>50K +18,Local-gov,153405,11th,7,Never-married,Adm-clerical,Other-relative,White,Female,0,0,25,United-States,<=50K +37,Private,329980,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,60,United-States,>50K +57,Private,176079,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,State-gov,218542,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +29,State-gov,303446,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,Nicaragua,<=50K +40,Private,102606,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +44,Self-emp-not-inc,483201,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +77,Local-gov,144608,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,6,United-States,<=50K +30,Private,226013,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +21,Private,165475,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +66,Private,263637,10th,6,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,201495,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,35,United-States,<=50K +68,Private,213720,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +64,Private,170483,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K +26,Private,214303,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +32,Private,190511,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +32,Private,242150,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,38,United-States,<=50K +51,Local-gov,159755,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +50,Private,147629,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K +49,Private,268022,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +28,Private,188711,Bachelors,13,Never-married,Transport-moving,Unmarried,White,Male,0,0,20,United-States,<=50K +29,Private,452205,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K +21,Private,260847,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +28,Private,291374,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +55,Private,189933,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,133969,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,50,South,>50K +35,Private,330664,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,?,672412,11th,7,Separated,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K +26,Private,122999,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,8614,0,40,United-States,>50K +30,Private,111415,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,55,Germany,<=50K +33,Private,217235,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K +40,Private,121956,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,13550,0,40,Cambodia,>50K +23,Private,120172,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,343403,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Self-emp-not-inc,104790,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K +39,Local-gov,473547,10th,6,Divorced,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +53,Local-gov,260106,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +49,Federal-gov,168232,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +31,Private,348491,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +36,Private,24106,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K +60,Self-emp-inc,197553,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +29,Private,421065,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,48,United-States,<=50K +54,Self-emp-inc,138852,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +28,?,169631,Assoc-acdm,12,Married-AF-spouse,?,Wife,White,Female,0,0,3,United-States,<=50K +34,Private,379412,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,181992,Some-college,10,Never-married,Sales,Not-in-family,Black,Female,0,0,35,United-States,<=50K +19,Private,365640,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,45,?,<=50K +26,Private,236564,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,363418,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,70,United-States,>50K +50,Private,112351,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,38,United-States,<=50K +30,Private,204704,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,>50K +44,Private,54611,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K +49,Private,128132,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +75,Self-emp-not-inc,30599,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +37,Private,379522,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +51,State-gov,196504,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,38,United-States,<=50K +35,Private,82552,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K +28,Private,104024,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K +66,Self-emp-not-inc,293114,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,1409,0,40,United-States,<=50K +72,Private,74141,9th,5,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,48,United-States,>50K +39,Private,192337,Bachelors,13,Separated,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +27,Private,262478,HS-grad,9,Never-married,Farming-fishing,Own-child,Black,Male,0,0,30,United-States,<=50K +57,Private,185072,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,Jamaica,<=50K +24,Private,296045,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,2635,0,38,United-States,<=50K +28,Private,246595,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,70,United-States,<=50K +23,Private,54472,Some-college,10,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +31,Private,331065,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,1408,40,United-States,<=50K +23,Private,161708,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +31,Private,264936,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Local-gov,113545,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,212237,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1740,45,United-States,<=50K +31,Private,170430,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,80,?,<=50K +34,Private,173806,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,4865,0,60,United-States,<=50K +57,Federal-gov,370890,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,2258,40,United-States,<=50K +39,Private,505119,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Cuba,>50K +23,Private,193089,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +24,Local-gov,33432,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +36,Private,103110,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,England,<=50K +32,Private,160362,Some-college,10,Divorced,Other-service,Other-relative,White,Male,0,0,40,Nicaragua,<=50K +35,Private,204621,Assoc-acdm,12,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,35309,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +23,?,154373,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,50,United-States,<=50K +47,Private,194772,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +35,Private,154410,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Federal-gov,220563,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +32,State-gov,253354,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,211699,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1485,40,United-States,>50K +63,Self-emp-not-inc,167501,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,20051,0,10,United-States,>50K +34,Private,229732,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,185465,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +27,Private,335764,11th,7,Married-civ-spouse,Sales,Own-child,Black,Male,0,0,35,United-States,<=50K +23,Private,460046,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,42,United-States,<=50K +19,?,33487,Some-college,10,Never-married,?,Other-relative,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +50,Private,176924,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K +49,State-gov,213307,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,83893,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +23,Private,194102,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +61,Private,238611,7th-8th,4,Widowed,Other-service,Unmarried,Black,Female,0,0,38,United-States,<=50K +41,Private,113597,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,16,United-States,<=50K +27,Self-emp-not-inc,208406,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +53,Private,274528,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,<=50K +17,Self-emp-not-inc,60116,10th,6,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K +23,?,196816,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +53,Private,166368,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,303954,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,42,United-States,>50K +24,Private,99386,Bachelors,13,Married-spouse-absent,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,188569,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +53,Private,302868,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +18,Private,283342,11th,7,Never-married,Other-service,Other-relative,Black,Male,0,0,20,United-States,<=50K +24,Private,233777,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,50,Mexico,<=50K +20,Private,170038,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Local-gov,261319,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +37,State-gov,367237,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,8614,0,40,United-States,>50K +34,Private,126838,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,354104,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +20,Private,176321,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K +47,Private,85129,HS-grad,9,Divorced,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +20,?,376474,Some-college,10,Never-married,?,Own-child,White,Male,0,0,32,United-States,<=50K +22,Private,62507,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +42,Local-gov,111252,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K +60,Private,156889,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,549430,HS-grad,9,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,40,Mexico,<=50K +46,Private,29696,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +66,Private,98837,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,86150,Bachelors,13,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,30,United-States,>50K +34,Private,204991,Some-college,10,Divorced,Exec-managerial,Own-child,White,Male,0,0,44,United-States,<=50K +45,Private,371886,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,46,United-States,<=50K +35,Private,103605,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +63,?,54851,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +51,Local-gov,133050,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +36,Local-gov,126569,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +25,Federal-gov,144259,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K +51,Private,161482,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K +25,Self-emp-not-inc,305449,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,125010,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,45,United-States,<=50K +47,Private,304133,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +59,Local-gov,120617,HS-grad,9,Separated,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K +34,Private,157747,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +40,Private,297396,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,60,United-States,<=50K +42,Private,121287,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K +28,?,308493,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,17,Honduras,<=50K +37,Private,49115,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +51,Self-emp-inc,208302,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,38,United-States,>50K +25,Private,304032,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,36,United-States,<=50K +31,Federal-gov,207301,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +37,Private,123211,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,44,United-States,>50K +42,Private,33521,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +29,?,410351,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,410034,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +51,Private,175339,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,47,United-States,>50K +22,?,27937,Some-college,10,Never-married,?,Own-child,White,Male,0,0,36,United-States,<=50K +49,Private,168211,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,40,United-States,>50K +26,Private,125680,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,16,Japan,<=50K +56,Local-gov,160829,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,46,United-States,<=50K +52,Private,266529,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +61,Self-emp-not-inc,115023,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,4,?,<=50K +47,State-gov,224149,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +52,Private,150930,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,343699,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Self-emp-inc,172826,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,99999,0,55,United-States,>50K +35,Private,163392,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K +17,?,103810,12th,8,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,213821,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K +26,Private,211265,Some-college,10,Married-spouse-absent,Craft-repair,Other-relative,Black,Female,0,0,35,Dominican-Republic,<=50K +58,Local-gov,160586,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +66,Private,146454,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5556,0,40,United-States,>50K +30,Private,203277,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K +46,Private,309895,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Private,26522,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1902,35,United-States,>50K +57,Private,103809,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,90291,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +21,State-gov,181761,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,10,United-States,<=50K +37,Private,35330,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,1669,55,United-States,<=50K +45,Local-gov,135776,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +61,?,188172,Doctorate,16,Widowed,?,Not-in-family,White,Female,0,0,5,United-States,<=50K +39,Private,179579,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,193626,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,53,United-States,<=50K +20,Private,108887,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +23,Private,199070,HS-grad,9,Never-married,Protective-serv,Own-child,Black,Male,0,0,16,United-States,<=50K +25,Private,441591,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,185254,5th-6th,3,Never-married,Priv-house-serv,Own-child,White,Female,0,0,40,El-Salvador,<=50K +24,Private,109307,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K +20,?,81853,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,15,United-States,<=50K +35,Private,23621,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,70,United-States,<=50K +44,Local-gov,145178,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,38,Jamaica,>50K +47,State-gov,30575,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +28,State-gov,130620,11th,7,Separated,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,India,<=50K +41,Local-gov,22155,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,<=50K +31,Private,106437,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,79787,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,25,United-States,<=50K +47,Private,326857,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K +44,Private,81853,HS-grad,9,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +61,Private,120933,Some-college,10,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Federal-gov,153143,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,Puerto-Rico,<=50K +46,Private,27669,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K +46,Private,105444,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +54,Local-gov,169785,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K +49,Private,122493,HS-grad,9,Widowed,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K +56,Local-gov,242670,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +52,Private,54933,Masters,14,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,209317,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +25,Self-emp-not-inc,282631,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,98044,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +58,Private,187487,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,State-gov,60186,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,75648,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +28,Private,201175,11th,7,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +30,Private,19302,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,<=50K +21,?,300812,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +44,Private,146659,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,35,United-States,>50K +75,Private,101887,10th,6,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,70,United-States,<=50K +66,?,117778,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,60726,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +33,Self-emp-inc,201763,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +57,Self-emp-inc,119253,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,65,United-States,>50K +47,Self-emp-not-inc,121124,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,Italy,>50K +41,Private,220132,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +21,Private,60639,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K +17,Private,195262,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,17,United-States,<=50K +61,?,113544,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,55,United-States,<=50K +47,?,331650,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,8,United-States,>50K +22,Private,100587,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,15,United-States,<=50K +47,Private,298130,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,242391,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +32,Self-emp-not-inc,197867,Assoc-voc,11,Divorced,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K +59,Private,151977,10th,6,Separated,Priv-house-serv,Not-in-family,Black,Female,0,0,30,United-States,<=50K +38,Private,277347,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +33,Private,125249,HS-grad,9,Separated,Protective-serv,Own-child,White,Female,0,0,40,United-States,<=50K +41,Private,222142,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,270194,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,169995,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +27,Private,359155,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +60,Private,123992,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +64,Local-gov,266080,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +37,Private,201531,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +54,Self-emp-not-inc,179704,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +36,Private,393673,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K +34,Private,244147,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +41,Self-emp-not-inc,438696,Masters,14,Divorced,Sales,Unmarried,White,Male,0,0,5,United-States,>50K +35,Self-emp-not-inc,207568,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,75,United-States,<=50K +63,Self-emp-inc,54052,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,68,United-States,>50K +46,Private,187581,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,77102,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,353010,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,65,United-States,<=50K +29,Private,54131,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +74,Federal-gov,39890,Some-college,10,Widowed,Transport-moving,Not-in-family,White,Female,0,0,18,United-States,<=50K +50,Private,156877,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K +22,Private,355686,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,300168,12th,8,Separated,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +30,Private,488720,9th,5,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K +32,Private,157287,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,184659,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,214169,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +25,Private,192149,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +50,Private,137253,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +44,Private,373050,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +65,Private,90377,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,6767,0,60,United-States,<=50K +28,Federal-gov,183151,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,<=50K +55,Private,227158,Bachelors,13,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Local-gov,34021,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,50,United-States,<=50K +31,Private,165148,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,12,United-States,<=50K +47,Private,211668,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,United-States,>50K +45,Private,358886,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +35,Private,47707,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +34,Self-emp-not-inc,306982,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,60,South,<=50K +49,Local-gov,52590,HS-grad,9,Widowed,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K +39,?,179352,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +27,Private,158156,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,42,United-States,<=50K +42,Private,70055,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +60,?,131852,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K +64,Self-emp-not-inc,177825,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,1055,0,40,United-States,<=50K +33,Private,127215,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K +23,Private,175183,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,142287,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +34,Private,221324,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +53,Private,227602,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,37,Mexico,<=50K +22,Private,228452,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +57,State-gov,39380,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +20,?,96862,Some-college,10,Never-married,?,Own-child,White,Female,0,0,8,United-States,<=50K +23,Private,336360,7th-8th,4,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +31,Private,257644,11th,7,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +23,State-gov,235853,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,22,United-States,<=50K +30,Private,270577,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Local-gov,222900,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +42,Private,99254,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,>50K +51,Private,224763,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Cuba,<=50K +59,Self-emp-not-inc,174056,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K +36,Private,127306,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +45,Private,339506,HS-grad,9,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K +35,Private,178322,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Germany,>50K +33,Private,189843,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,160815,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +60,Private,207665,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K +37,State-gov,160402,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +35,Private,170263,Some-college,10,Never-married,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,184659,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,52,United-States,<=50K +38,Federal-gov,338320,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +54,Private,101017,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,204322,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +45,Private,241350,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +63,Federal-gov,217994,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Private,128143,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +58,Self-emp-not-inc,164065,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,18,United-States,<=50K +64,Local-gov,78866,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,236769,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +44,Federal-gov,239539,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +39,Private,34028,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,48,United-States,<=50K +45,State-gov,207847,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,175935,Doctorate,16,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,>50K +22,Federal-gov,218445,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +63,Self-emp-inc,215833,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +26,Private,156976,Assoc-voc,11,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,220647,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +20,Private,218343,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +29,Private,241431,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K +38,Local-gov,123983,Bachelors,13,Never-married,Exec-managerial,Unmarried,Asian-Pac-Islander,Male,0,1741,40,Vietnam,<=50K +25,Private,73289,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,408623,Bachelors,13,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,50,United-States,<=50K +46,Private,169180,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,54929,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +24,Private,306779,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Male,0,0,35,United-States,<=50K +43,Private,159549,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +23,Private,482082,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,21,Mexico,<=50K +32,Local-gov,286101,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Female,0,0,37,United-States,<=50K +44,Private,167955,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Poland,<=50K +40,Self-emp-not-inc,209040,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,105017,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +23,Private,27776,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,242941,Some-college,10,Never-married,Sales,Own-child,White,Female,0,1602,10,United-States,<=50K +41,Private,118853,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,119565,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,196827,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1902,40,United-States,<=50K +47,Private,275361,Assoc-acdm,12,Widowed,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +42,Private,225193,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,329783,10th,6,Never-married,Sales,Other-relative,White,Female,0,0,10,United-States,<=50K +29,Local-gov,107411,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,70,United-States,<=50K +21,State-gov,258490,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +18,?,120243,11th,7,Never-married,?,Own-child,White,Male,0,0,27,United-States,<=50K +31,Private,219509,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,>50K +27,Local-gov,29174,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,40083,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Canada,<=50K +23,Private,87528,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +41,Private,116379,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,55,Taiwan,>50K +46,Local-gov,216214,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +34,Private,268051,Some-college,10,Married-civ-spouse,Protective-serv,Other-relative,Black,Female,0,0,25,Haiti,<=50K +42,Self-emp-not-inc,121718,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,24,United-States,<=50K +18,Private,201901,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,1719,15,United-States,<=50K +46,Private,109089,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,37,United-States,<=50K +18,?,346382,11th,7,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K +52,Private,284129,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +56,Private,143030,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +21,Private,212619,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +22,Self-emp-not-inc,199011,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,20,United-States,<=50K +31,Private,118901,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +41,Self-emp-not-inc,129865,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K +25,Private,157900,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Self-emp-not-inc,349341,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +45,Private,158685,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,386585,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,60,United-States,<=50K +90,Private,52386,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,35,United-States,<=50K +45,Private,246891,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K +30,Private,190385,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K +42,Private,37869,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,217807,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +53,Private,149784,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +64,State-gov,201293,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +56,Private,128764,7th-8th,4,Widowed,Transport-moving,Not-in-family,White,Male,0,0,20,United-States,<=50K +42,Private,27444,Some-college,10,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +26,Private,62438,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +31,Local-gov,151726,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +40,Private,29841,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +58,Private,131608,Some-college,10,Widowed,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,110562,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +58,Self-emp-inc,190541,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,47,United-States,<=50K +62,State-gov,33142,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +65,Self-emp-inc,139272,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,60,United-States,>50K +40,Private,234633,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Local-gov,238386,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +22,Private,460835,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,55,United-States,<=50K +23,?,243190,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,20,China,<=50K +63,Federal-gov,97855,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +39,Private,77146,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K +37,Private,200863,Some-college,10,Widowed,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +25,?,41107,Bachelors,13,Married-spouse-absent,?,Not-in-family,White,Male,0,0,40,Canada,<=50K +56,Private,77415,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,236770,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +53,Federal-gov,173093,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,1887,40,Philippines,>50K +32,Private,235124,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Self-emp-not-inc,282604,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,60,United-States,>50K +35,Private,199288,11th,7,Separated,Transport-moving,Not-in-family,White,Male,0,0,90,United-States,<=50K +51,Private,191659,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,65,United-States,>50K +19,Private,43285,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +41,Private,160837,11th,7,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Guatemala,<=50K +22,Private,230574,10th,6,Never-married,Transport-moving,Own-child,White,Male,0,0,25,United-States,<=50K +23,Private,176178,HS-grad,9,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,116358,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K +27,?,253873,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,25,United-States,<=50K +45,Private,107787,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,<=50K +23,Self-emp-not-inc,519627,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,25,Mexico,<=50K +21,Private,191460,11th,7,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +44,Private,198282,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +29,Private,214858,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +36,Self-emp-not-inc,64875,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,<=50K +18,Private,675421,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,594,0,40,United-States,<=50K +62,Self-emp-not-inc,134768,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +25,Federal-gov,207342,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +34,Private,64830,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +31,Private,220066,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,14344,0,50,United-States,>50K +37,Private,82521,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +33,Private,176711,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,England,<=50K +22,?,217421,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +28,Private,111900,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +22,?,196943,Some-college,10,Separated,?,Own-child,White,Male,0,0,25,United-States,<=50K +47,Private,481987,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +67,?,184506,11th,7,Married-civ-spouse,?,Husband,White,Male,0,419,3,United-States,<=50K +20,?,121313,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,158420,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +26,Private,256000,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K +36,Private,183892,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,44,United-States,>50K +28,Private,42734,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,181773,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K +47,Private,184945,Some-college,10,Separated,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K +33,Private,107248,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +34,Self-emp-inc,215382,Masters,14,Separated,Prof-specialty,Not-in-family,White,Female,4787,0,40,United-States,>50K +25,Private,122999,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,758700,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3781,0,50,Mexico,<=50K +36,State-gov,166606,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +61,Local-gov,192060,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,30,?,<=50K +74,?,340939,9th,5,Married-civ-spouse,?,Husband,White,Male,3471,0,40,United-States,<=50K +57,Private,205708,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Poland,<=50K +55,Private,67450,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,England,<=50K +20,Private,242077,HS-grad,9,Divorced,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K +43,Private,129573,HS-grad,9,Never-married,Sales,Not-in-family,Black,Female,0,0,44,United-States,<=50K +54,Private,181132,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,England,>50K +25,Private,212302,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,83411,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,1408,40,United-States,<=50K +23,?,148751,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +17,Private,317681,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,10,United-States,<=50K +39,?,103986,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,1590,40,United-States,<=50K +63,Private,30602,7th-8th,4,Married-spouse-absent,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +19,Private,172893,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,30,United-States,<=50K +56,Self-emp-inc,211804,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +33,Self-emp-not-inc,312055,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +37,Private,65390,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +27,Private,200500,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +36,Local-gov,241962,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +30,Self-emp-inc,78530,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,Canada,>50K +22,Private,189950,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K +35,Private,111387,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1579,40,United-States,<=50K +20,Private,241951,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K +18,Private,343059,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,302465,12th,8,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,1741,40,United-States,<=50K +53,Private,156843,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1564,54,United-States,>50K +21,?,79728,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +19,Private,55284,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +34,Private,509364,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,30,United-States,<=50K +32,State-gov,117927,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +20,Private,137651,Some-college,10,Never-married,Machine-op-inspct,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +70,Private,131060,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K +57,Private,346963,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +54,Private,183611,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,3137,0,50,United-States,<=50K +34,Private,134737,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,36503,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +42,Private,250121,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +45,Private,330535,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,3325,0,40,United-States,<=50K +27,Private,387776,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,41474,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +36,Local-gov,318972,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,65,United-States,<=50K +33,Private,86143,Some-college,10,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +50,Private,181139,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,326232,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,2547,50,United-States,>50K +39,Local-gov,153976,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +55,Self-emp-not-inc,59469,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K +24,Private,127139,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,136343,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,350624,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +66,?,177351,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,2174,40,United-States,>50K +68,Private,166149,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,2206,30,United-States,<=50K +29,Private,121523,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +24,Self-emp-not-inc,267396,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +61,Private,83045,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,160449,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,>50K +55,Self-emp-inc,124137,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,35,Greece,>50K +20,?,287681,Some-college,10,Never-married,?,Own-child,White,Male,0,0,36,United-States,<=50K +41,Private,154194,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,295127,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K +60,Private,240521,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +61,Self-emp-not-inc,244087,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K +35,Private,356250,Prof-school,15,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,35,China,<=50K +42,State-gov,293791,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +26,Private,44308,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Local-gov,210527,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,State-gov,151763,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,25,United-States,<=50K +39,State-gov,267581,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +20,Private,100188,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,24,United-States,<=50K +32,Self-emp-inc,111746,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,171091,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,355645,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,20,Trinadad&Tobago,<=50K +54,Local-gov,137678,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,70894,Assoc-acdm,12,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +19,Private,171306,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,3,United-States,<=50K +31,Private,100997,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +35,Private,63921,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +29,Private,32897,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +29,Local-gov,251854,HS-grad,9,Never-married,Protective-serv,Not-in-family,Black,Female,0,0,40,United-States,<=50K +25,Private,345121,10th,6,Separated,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +46,Private,86220,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,172845,Assoc-voc,11,Never-married,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +20,Private,171398,10th,6,Never-married,Sales,Not-in-family,Other,Male,0,0,40,United-States,<=50K +24,Self-emp-not-inc,174391,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +48,Private,207058,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,37,United-States,<=50K +37,Private,291251,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +60,Self-emp-not-inc,224377,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,105813,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Local-gov,180916,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +31,Self-emp-not-inc,122749,Assoc-voc,11,Divorced,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +38,Private,31069,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,United-States,>50K +26,Self-emp-not-inc,284343,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +64,Private,319371,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +46,Private,174224,Assoc-voc,11,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K +69,?,183958,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +39,Private,127772,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3103,0,44,United-States,>50K +48,Private,80651,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,55,United-States,<=50K +46,Private,62793,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K +42,Private,191712,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,1590,40,United-States,<=50K +39,Self-emp-not-inc,237532,HS-grad,9,Married-civ-spouse,Sales,Wife,Black,Female,0,0,54,Dominican-Republic,>50K +50,Federal-gov,20179,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +24,Private,311376,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,432565,Assoc-voc,11,Married-civ-spouse,Tech-support,Other-relative,White,Female,0,0,40,Canada,>50K +39,Self-emp-inc,329980,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2415,60,United-States,>50K +29,Self-emp-not-inc,125190,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,342946,11th,7,Never-married,Transport-moving,Own-child,White,Female,0,0,38,United-States,<=50K +21,?,219835,Assoc-voc,11,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,123429,10th,6,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +69,Self-emp-inc,69209,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3818,0,30,United-States,<=50K +55,Private,66356,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +41,Private,195897,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +44,Self-emp-inc,153132,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,52,United-States,>50K +18,Private,230875,11th,7,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +74,Self-emp-not-inc,92298,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,10,United-States,<=50K +40,Private,185145,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +27,Private,297296,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +75,?,164849,9th,5,Married-civ-spouse,?,Husband,Black,Male,1409,0,5,United-States,<=50K +55,Private,145214,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,Self-emp-not-inc,242341,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +54,Private,240542,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K +36,Private,104772,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,48,United-States,<=50K +76,?,152802,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +26,Private,181666,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +18,Private,415520,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +38,Private,258761,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +50,Private,88842,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,40,United-States,>50K +19,?,356717,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K +32,Private,158438,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +57,Private,206206,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +20,Private,51816,HS-grad,9,Never-married,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K +27,Private,253814,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Self-emp-not-inc,161745,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,1980,60,United-States,<=50K +60,Private,162947,5th-6th,3,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Puerto-Rico,<=50K +52,Private,163027,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,50,United-States,<=50K +61,Private,146788,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +57,Self-emp-not-inc,73309,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,>50K +19,?,143867,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +59,Self-emp-not-inc,104216,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K +34,Self-emp-not-inc,345705,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,>50K +31,Private,133770,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,50,United-States,>50K +42,Private,209392,HS-grad,9,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,35,United-States,<=50K +70,Private,262345,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,6,United-States,<=50K +47,Private,277545,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K +47,?,174525,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,3942,0,40,?,<=50K +29,Private,490332,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +27,Private,211570,11th,7,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K +25,Private,374918,12th,8,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +51,Private,106728,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,60,United-States,>50K +28,Private,173649,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,?,<=50K +35,Private,174597,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,233533,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +54,?,169785,Masters,14,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,133169,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,198824,Assoc-voc,11,Separated,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +65,Private,174056,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,188696,Assoc-voc,11,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Local-gov,90692,HS-grad,9,Divorced,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +34,Private,271933,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Female,0,1741,45,United-States,<=50K +47,Self-emp-not-inc,102359,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K +49,Federal-gov,213668,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,56,United-States,>50K +21,Private,294789,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +20,Private,157599,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +18,Local-gov,134935,12th,8,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,466224,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K +34,Self-emp-not-inc,111985,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,264627,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,213427,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,279015,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K +47,Private,165937,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +27,Federal-gov,188343,HS-grad,9,Separated,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +63,Private,158609,Assoc-voc,11,Widowed,Adm-clerical,Unmarried,White,Female,0,0,8,United-States,<=50K +34,Private,193036,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K +25,Private,198632,Some-college,10,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +54,Private,175912,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Male,914,0,40,United-States,<=50K +19,?,192773,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +35,Private,101387,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +24,Private,60783,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K +26,Private,183224,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,35,United-States,<=50K +59,Local-gov,100776,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,57600,Doctorate,16,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,40,?,<=50K +20,Private,174063,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +41,Private,306495,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,249741,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,93021,HS-grad,9,Never-married,Adm-clerical,Unmarried,Other,Female,0,0,40,United-States,<=50K +36,Private,49626,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,63062,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K +55,Private,320835,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +22,Local-gov,123727,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,21,United-States,<=50K +58,State-gov,110517,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,4064,0,40,India,<=50K +43,Private,149670,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,4064,0,15,United-States,<=50K +39,Private,172425,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K +40,Private,216116,9th,5,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,Haiti,<=50K +46,Private,174209,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +54,Federal-gov,175083,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +19,Private,129059,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,30,United-States,<=50K +24,Private,121313,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +53,?,181317,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +24,State-gov,166851,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,13,United-States,<=50K +29,Self-emp-not-inc,29616,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,65,United-States,<=50K +56,Self-emp-inc,105582,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +54,?,124993,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +21,?,148509,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +34,Private,230246,9th,5,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K +56,Private,117881,11th,7,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,203408,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +19,Private,446219,10th,6,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +32,Self-emp-inc,110331,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K +48,Private,207946,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,52,United-States,<=50K +67,?,45537,Masters,14,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,>50K +47,Private,188330,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,25,United-States,<=50K +52,Private,147629,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +40,Private,153799,1st-4th,2,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Female,0,0,40,Dominican-Republic,<=50K +28,Private,203776,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +41,Private,168071,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K +57,Private,348430,1st-4th,2,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,Portugal,<=50K +51,Private,103407,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,?,152046,11th,7,Never-married,?,Not-in-family,White,Female,0,0,35,Germany,<=50K +36,Private,153205,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,45,?,<=50K +33,Private,326104,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +46,Private,238162,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +50,Private,221336,HS-grad,9,Divorced,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +33,Private,180656,Some-college,10,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K +77,Self-emp-not-inc,145329,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,401,0,20,United-States,<=50K +39,Private,315776,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Male,8614,0,52,United-States,>50K +67,?,150516,HS-grad,9,Widowed,?,Unmarried,White,Male,0,0,3,United-States,<=50K +35,Private,325802,Assoc-acdm,12,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,24,United-States,<=50K +23,Private,133985,10th,6,Never-married,Craft-repair,Own-child,Black,Female,0,0,40,United-States,<=50K +37,Private,269329,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,8614,0,45,United-States,>50K +41,Private,183203,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +60,Private,76127,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,>50K +32,Private,195891,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,55,United-States,<=50K +56,Federal-gov,162137,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +45,State-gov,37672,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,161708,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K +18,Private,80616,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,27,United-States,<=50K +31,Private,209276,HS-grad,9,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,United-States,<=50K +21,?,34443,Some-college,10,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K +45,Private,192835,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,55,United-States,>50K +23,Private,203240,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,State-gov,102308,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,40829,11th,7,Never-married,Sales,Other-relative,Amer-Indian-Eskimo,Female,0,0,25,United-States,<=50K +25,Private,60726,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,30,United-States,<=50K +31,State-gov,116677,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,57067,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,45,United-States,<=50K +41,Private,304906,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +74,Private,101590,Prof-school,15,Widowed,Adm-clerical,Not-in-family,Black,Female,0,0,20,United-States,<=50K +27,Private,258102,5th-6th,3,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,Mexico,<=50K +23,Private,241185,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,124827,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +40,Self-emp-inc,76625,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +41,Federal-gov,263339,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +25,Private,135645,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K +42,Private,245626,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K +24,Private,210781,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,235786,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +45,Self-emp-not-inc,160167,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K +52,Federal-gov,30731,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +34,Private,314375,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,81528,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,60,United-States,<=50K +54,Private,182854,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +42,Federal-gov,296798,11th,7,Never-married,Tech-support,Not-in-family,White,Male,0,1340,40,United-States,<=50K +32,Private,194426,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,15024,0,40,United-States,>50K +40,?,70645,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K +55,Self-emp-inc,141807,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +66,?,112871,11th,7,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +52,State-gov,71344,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +21,State-gov,341410,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K +33,Private,118941,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +52,?,159755,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K +28,Private,128509,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,?,<=50K +27,Self-emp-not-inc,229125,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Local-gov,142756,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +27,Self-emp-inc,243871,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,45,United-States,<=50K +47,Private,213140,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +19,Private,196857,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,138626,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Self-emp-not-inc,161334,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,25,Nicaragua,<=50K +50,Private,273536,7th-8th,4,Married-civ-spouse,Sales,Husband,Other,Male,0,0,49,Dominican-Republic,<=50K +32,Private,115631,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,4101,0,50,United-States,<=50K +28,Private,185957,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +23,Private,334357,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +43,Private,96102,Masters,14,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +34,Private,213226,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Iran,>50K +19,Private,115248,Some-college,10,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +37,Private,185061,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,55,United-States,<=50K +27,Private,147638,Bachelors,13,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,40,Hong,<=50K +18,Private,280298,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K +31,Private,163516,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Private,277434,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +26,Federal-gov,206983,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,Columbia,<=50K +48,Private,108993,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +39,Private,288551,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +41,Private,176069,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +48,State-gov,183486,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,56,United-States,>50K +40,Private,163215,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,10520,0,40,United-States,>50K +70,Private,94692,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K +20,Private,118462,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,43,United-States,<=50K +38,Private,407068,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,75,Mexico,<=50K +37,Self-emp-not-inc,243587,Some-college,10,Separated,Other-service,Own-child,White,Female,0,0,40,Cuba,<=50K +49,Private,23074,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +51,Private,237735,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3103,0,40,United-States,>50K +43,Private,188291,1st-4th,2,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,284166,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +18,?,423460,11th,7,Never-married,?,Own-child,White,Male,0,0,36,United-States,<=50K +23,Private,287681,7th-8th,4,Never-married,Other-service,Not-in-family,White,Male,0,0,25,Mexico,<=50K +34,Private,509364,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +62,?,139391,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K +33,Private,91964,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +31,Private,117526,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,45,United-States,<=50K +64,Private,91343,Some-college,10,Widowed,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Local-gov,336969,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,28,El-Salvador,<=50K +55,Private,255364,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +61,Local-gov,167670,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,211494,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +78,Local-gov,136198,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,15,United-States,<=50K +27,Federal-gov,409815,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +49,Private,188823,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,42,United-States,<=50K +55,State-gov,146326,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K +42,Private,154374,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,58,United-States,<=50K +22,?,216563,HS-grad,9,Never-married,?,Other-relative,White,Female,0,0,40,United-States,<=50K +61,Private,197286,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +64,Self-emp-not-inc,100722,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,5,United-States,<=50K +46,Local-gov,377622,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,145964,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,358636,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,70,United-States,<=50K +47,Private,155489,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,55,United-States,>50K +18,Private,57413,Some-college,10,Divorced,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +48,Private,320421,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +50,Self-emp-not-inc,174752,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,State-gov,229364,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +56,Self-emp-not-inc,157486,10th,6,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,92682,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,4865,0,40,United-States,<=50K +56,Federal-gov,101338,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,132652,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +21,Private,34616,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +40,Private,218903,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Local-gov,204098,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,50,United-States,<=50K +52,Self-emp-not-inc,64045,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,45,United-States,>50K +46,Private,189763,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +23,Private,26248,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +50,Private,92079,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +19,Private,280071,Some-college,10,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,50,United-States,<=50K +20,Private,224059,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,185520,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,8614,0,40,United-States,>50K +24,Private,265567,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +72,Private,106890,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,State-gov,39586,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K +42,Private,153132,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,45,?,<=50K +51,Private,209912,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K +39,Private,144169,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +40,Local-gov,50442,Some-college,10,Never-married,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,2977,0,35,United-States,<=50K +34,Private,89644,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +19,Private,275889,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,Mexico,<=50K +26,Private,231638,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +45,Local-gov,224474,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,4934,0,50,United-States,>50K +28,Private,355259,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +30,Federal-gov,68330,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +32,Private,185410,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,87653,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +21,Private,286853,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +54,Private,96710,HS-grad,9,Married-civ-spouse,Priv-house-serv,Other-relative,Black,Female,0,0,20,United-States,<=50K +62,Private,160143,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,>50K +25,Private,186925,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,2597,0,48,United-States,<=50K +49,Self-emp-inc,109705,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,32,United-States,<=50K +32,Private,94235,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +26,Private,225279,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,1602,40,?,<=50K +37,Local-gov,297449,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +58,Private,205896,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K +37,Private,93717,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,7298,0,45,United-States,>50K +41,Private,194710,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,236391,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +47,State-gov,189123,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,358677,HS-grad,9,Divorced,Other-service,Unmarried,Black,Male,0,0,35,United-States,<=50K +30,State-gov,199539,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,40,United-States,<=50K +43,Private,128170,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K +34,Private,231238,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +57,Private,296152,Some-college,10,Divorced,Exec-managerial,Other-relative,White,Female,594,0,10,United-States,<=50K +46,Private,166003,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,281437,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +20,Private,190231,9th,5,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,11,Nicaragua,<=50K +47,Private,122026,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +55,?,205527,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,20,United-States,<=50K +53,Self-emp-not-inc,174102,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,50,Greece,>50K +43,Private,125461,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K +80,Self-emp-not-inc,184335,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +24,Private,211345,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,Mexico,<=50K +43,Local-gov,147328,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K +22,Private,222993,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,225978,Some-college,10,Separated,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +48,Private,121124,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +56,?,656036,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K +34,?,346762,11th,7,Divorced,?,Own-child,White,Male,0,0,84,United-States,<=50K +51,Private,234057,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +24,Federal-gov,306515,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,116562,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,171159,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K +24,Private,199011,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,443508,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,Canada,>50K +24,Private,29810,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K +22,Local-gov,238831,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +32,Federal-gov,566117,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,255044,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +20,Private,436253,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +31,Private,300687,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +55,Private,144071,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,18,United-States,>50K +49,State-gov,133917,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,1902,60,?,>50K +26,Private,188767,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +27,Self-emp-not-inc,300777,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K +35,Private,26987,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,174395,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,60,Greece,<=50K +59,Private,90290,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,34,United-States,<=50K +61,Private,183735,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +31,Private,123273,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K +43,Federal-gov,186916,Masters,14,Divorced,Protective-serv,Not-in-family,White,Male,0,0,60,United-States,>50K +61,Private,43554,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,2339,40,United-States,<=50K +54,Private,178251,Assoc-acdm,12,Widowed,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K +30,Private,255885,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +20,Private,64292,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +27,State-gov,194773,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,Germany,<=50K +44,Self-emp-inc,133060,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,60,United-States,<=50K +64,Private,258006,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,Cuba,<=50K +55,Private,92215,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,33945,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,6849,0,55,United-States,<=50K +61,Private,153048,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +28,Private,192200,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K +34,Private,355571,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +47,Self-emp-inc,139268,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K +26,Private,34402,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +35,Private,25955,11th,7,Never-married,Other-service,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +36,Private,209609,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,<=50K +47,Private,168283,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +17,Private,295488,11th,7,Never-married,Other-service,Own-child,Black,Female,0,0,25,United-States,<=50K +35,Private,190895,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +33,Private,164190,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +25,Private,216010,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +18,Private,387568,10th,6,Never-married,Sales,Own-child,White,Male,0,0,10,United-States,<=50K +47,State-gov,188386,Masters,14,Separated,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K +44,Private,174491,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K +41,Private,31221,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +30,Private,272451,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Self-emp-not-inc,152652,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +53,Private,104413,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K +40,Private,105936,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,5013,0,20,United-States,<=50K +24,Private,379066,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,2205,24,United-States,<=50K +27,Private,214858,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +50,Private,237735,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,37,Mexico,<=50K +36,Private,158592,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +41,Private,237321,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,>50K +41,Private,23646,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,169240,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Federal-gov,454508,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,130356,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,48,United-States,<=50K +22,Private,427686,10th,6,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +18,Local-gov,36411,12th,8,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K +39,Private,548510,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,30,United-States,<=50K +38,Private,187264,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,<=50K +35,State-gov,140752,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,325596,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,175804,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +36,Private,107302,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +63,Local-gov,41161,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +39,Private,401832,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K +57,Self-emp-not-inc,353808,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +58,Self-emp-inc,349910,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +29,Private,161478,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Japan,<=50K +17,Private,400225,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +40,Private,367533,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +69,Self-emp-not-inc,69306,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,<=50K +28,Private,270366,10th,6,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,103751,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,75227,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,14084,0,40,United-States,>50K +45,Local-gov,132563,Prof-school,15,Divorced,Prof-specialty,Unmarried,Black,Female,0,1726,40,United-States,<=50K +33,State-gov,79580,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +41,Local-gov,344624,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,1485,40,United-States,>50K +37,Self-emp-inc,186359,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7688,0,60,United-States,>50K +50,Private,121685,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +48,Private,75104,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +26,?,188343,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +36,Private,246449,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +21,Private,85088,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,37,United-States,<=50K +37,Private,545483,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +20,State-gov,243986,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K +54,Self-emp-not-inc,32778,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K +28,Private,369114,HS-grad,9,Separated,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K +27,Private,217200,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,149220,Assoc-voc,11,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +46,?,162034,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +28,?,157813,11th,7,Divorced,?,Unmarried,White,Female,0,0,58,Canada,<=50K +17,?,179715,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +40,Self-emp-not-inc,335549,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,2444,45,United-States,>50K +47,Private,102308,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +44,Private,367749,1st-4th,2,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,El-Salvador,<=50K +25,Private,98281,12th,8,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,43,United-States,<=50K +35,Private,115792,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +29,Private,277788,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,25,United-States,<=50K +30,Private,103435,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +30,Private,37646,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +56,Self-emp-not-inc,385632,7th-8th,4,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Self-emp-not-inc,210278,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K +28,Private,335357,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,272165,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Local-gov,148995,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K +46,Self-emp-not-inc,113434,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,State-gov,132551,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K +38,Federal-gov,115433,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,33,United-States,>50K +29,Private,227890,HS-grad,9,Never-married,Protective-serv,Other-relative,Black,Male,0,0,40,United-States,<=50K +25,Private,503012,5th-6th,3,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +56,Private,250873,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +31,Private,407930,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,148187,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K +31,Private,159322,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +28,Private,334368,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Private,196328,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K +45,Private,270842,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +71,Private,235079,Preschool,1,Widowed,Craft-repair,Unmarried,Black,Male,0,0,10,United-States,<=50K +65,?,327154,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Private,188391,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,United-States,>50K +19,Federal-gov,30559,HS-grad,9,Married-AF-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +34,Local-gov,255098,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,248010,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +40,Private,174515,HS-grad,9,Married-spouse-absent,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +90,Private,171956,Some-college,10,Separated,Adm-clerical,Own-child,White,Female,0,0,40,Puerto-Rico,<=50K +56,Private,193130,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,16,United-States,<=50K +21,Private,108670,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,186172,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +45,Private,348854,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,27,United-States,<=50K +46,Private,271828,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +64,Private,148606,10th,6,Separated,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +29,Local-gov,123983,Masters,14,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K +22,Private,24896,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,30,Germany,<=50K +47,Private,573583,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,Italy,>50K +67,Self-emp-inc,106175,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2392,75,United-States,>50K +43,Private,307767,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,200574,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,59083,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,1672,50,United-States,<=50K +53,Private,358056,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +81,Private,114670,9th,5,Widowed,Priv-house-serv,Not-in-family,Black,Female,2062,0,5,United-States,<=50K +33,Local-gov,262042,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,1138,40,United-States,<=50K +17,Private,206010,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,8,United-States,<=50K +55,Self-emp-inc,183869,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,?,>50K +28,Private,159001,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +24,Private,155818,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +40,Private,96055,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +30,Local-gov,131776,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,228613,11th,7,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Private,198163,Masters,14,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +38,Private,37028,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,38,United-States,<=50K +30,Private,177304,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +33,Private,144064,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,146659,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +63,Self-emp-not-inc,26904,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,98,United-States,<=50K +23,Private,238917,7th-8th,4,Never-married,Craft-repair,Other-relative,White,Male,0,0,36,United-States,<=50K +56,Private,170148,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,27821,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +40,Private,220460,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Canada,<=50K +49,Private,101320,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,White,Female,0,1902,40,United-States,>50K +35,Private,173858,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,?,<=50K +52,Private,91048,HS-grad,9,Divorced,Machine-op-inspct,Own-child,Black,Female,0,0,35,United-States,<=50K +28,Private,298696,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,207202,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K +21,?,230397,Some-college,10,Never-married,?,Own-child,White,Female,0,0,5,United-States,<=50K +43,Self-emp-not-inc,180599,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +32,?,199046,Assoc-voc,11,Never-married,?,Unmarried,White,Female,0,0,2,United-States,<=50K +29,Self-emp-not-inc,132686,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,Italy,>50K +23,Private,240063,Bachelors,13,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,25,United-States,<=50K +50,Local-gov,177705,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1740,48,United-States,<=50K +34,Private,511361,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +19,Private,89397,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,239439,11th,7,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,United-States,<=50K +37,Self-emp-not-inc,36989,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,76978,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,35,United-States,<=50K +75,Private,200068,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +24,Private,454941,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,State-gov,107218,Bachelors,13,Never-married,Tech-support,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K +17,Local-gov,182070,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +31,Private,176360,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +31,Private,452405,Preschool,1,Never-married,Other-service,Other-relative,White,Female,0,0,35,Mexico,<=50K +18,?,297396,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,10,United-States,<=50K +45,Private,84790,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +31,Private,186787,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,42,United-States,<=50K +27,Private,169662,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K +48,Private,125933,Some-college,10,Widowed,Exec-managerial,Unmarried,Black,Female,0,1669,38,United-States,<=50K +22,?,35448,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,22,United-States,<=50K +34,Private,225548,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,30,United-States,<=50K +26,Private,240842,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +53,Private,103931,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +60,Private,232618,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +49,Local-gov,288548,Masters,14,Separated,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K +40,Private,220609,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Self-emp-inc,26145,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K +23,Private,268525,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +68,?,133758,7th-8th,4,Widowed,?,Not-in-family,Black,Male,0,0,10,United-States,<=50K +42,Private,121264,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +37,Self-emp-not-inc,29814,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,85,United-States,<=50K +27,Private,193701,HS-grad,9,Never-married,Craft-repair,Own-child,White,Female,0,0,45,United-States,<=50K +38,Private,183279,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K +27,Private,163942,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,Ireland,<=50K +75,Private,188612,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Self-emp-inc,102771,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K +27,Private,85625,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K +36,Self-emp-not-inc,245090,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,Mexico,<=50K +36,Private,131239,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,45,United-States,>50K +35,Private,182074,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +36,Private,187046,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +53,Private,90624,11th,7,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +27,Private,37933,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +34,Private,182177,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,3325,0,35,United-States,<=50K +61,Private,716416,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,>50K +29,Private,190562,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,56,United-States,<=50K +40,State-gov,141583,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K +37,Private,98941,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +22,Private,201729,9th,5,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,30,United-States,<=50K +43,Self-emp-inc,175485,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +55,Self-emp-not-inc,149168,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +28,Private,115971,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,161708,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +64,Local-gov,244903,11th,7,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +46,Private,155664,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,112754,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +44,Private,178385,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,48,India,<=50K +20,Private,44064,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,25,United-States,<=50K +62,Self-emp-not-inc,120939,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Private,165134,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,White,Female,0,0,35,Columbia,<=50K +29,Private,100405,10th,6,Married-civ-spouse,Farming-fishing,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +35,Self-emp-not-inc,361888,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,Japan,<=50K +39,Local-gov,167864,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K +39,Private,202950,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +37,Private,218188,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,White,Female,0,0,32,United-States,<=50K +38,Private,234962,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,2829,0,30,Mexico,<=50K +72,?,177226,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +31,Private,259931,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,189528,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +38,Private,34996,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,112584,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +25,Private,117589,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,?,145234,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +37,Private,267086,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,52,United-States,<=50K +49,Private,44434,Some-college,10,Divorced,Tech-support,Other-relative,White,Male,0,0,35,United-States,<=50K +26,Private,96130,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +35,Private,181382,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K +44,Self-emp-inc,168845,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,60,United-States,<=50K +37,Private,271767,Masters,14,Separated,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K +42,Private,194636,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +64,State-gov,194894,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,4787,0,40,United-States,>50K +28,Private,132686,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +35,Self-emp-not-inc,185848,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,4650,0,50,United-States,<=50K +40,State-gov,184378,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +55,Federal-gov,270859,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +21,Private,231866,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,65,United-States,<=50K +49,Private,36032,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +51,State-gov,172962,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +57,Private,98350,Prof-school,15,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,1902,40,Philippines,>50K +51,Private,24185,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +38,Private,53930,10th,6,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,?,<=50K +24,Private,85088,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,1762,32,United-States,<=50K +45,Self-emp-not-inc,94962,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,England,<=50K +28,Private,480861,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +42,Self-emp-inc,187702,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,60,United-States,>50K +22,Private,52262,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,State-gov,52636,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +60,Private,175273,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,327825,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,2238,40,United-States,<=50K +47,Private,125892,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,75,United-States,>50K +40,?,78255,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,25,United-States,<=50K +30,Private,398827,HS-grad,9,Married-AF-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,<=50K +61,Private,208919,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +71,Local-gov,365996,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,6,United-States,<=50K +42,Private,307638,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +44,Local-gov,33068,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +46,Self-emp-not-inc,254291,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +50,Local-gov,125417,Prof-school,15,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,52,United-States,>50K +27,State-gov,28848,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,9,United-States,<=50K +40,?,273425,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K +21,Private,194723,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,Mexico,<=50K +25,Private,195118,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,35,United-States,<=50K +61,Private,123273,5th-6th,3,Divorced,Transport-moving,Not-in-family,White,Male,0,1876,56,United-States,<=50K +54,Private,220115,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K +31,Private,265706,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Self-emp-not-inc,279129,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +39,Self-emp-inc,122742,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K +57,Self-emp-inc,172654,Prof-school,15,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,50,United-States,>50K +48,Private,119199,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,44,United-States,<=50K +30,Private,107793,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,56,United-States,>50K +35,Private,237943,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K +42,Self-emp-not-inc,64632,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +34,Self-emp-not-inc,96245,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,361494,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +69,Local-gov,122850,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K +29,Private,173652,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +40,Private,164663,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,98678,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +40,Private,245529,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,55294,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,140583,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,79797,HS-grad,9,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Japan,>50K +72,?,113044,HS-grad,9,Widowed,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +20,Private,283499,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K +41,Local-gov,51111,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,232475,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +48,Private,176140,11th,7,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +27,Private,301654,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,376455,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +28,?,192569,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +27,Private,229803,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +20,Private,337639,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,130849,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +32,Private,296282,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,266645,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +23,State-gov,110128,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,90196,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +40,State-gov,40024,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +35,Private,144322,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +74,Self-emp-inc,162340,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +28,Private,169069,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,113601,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +20,Self-emp-not-inc,157145,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,2258,10,United-States,<=50K +44,Private,111275,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,56,United-States,<=50K +46,Local-gov,102076,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,25,United-States,<=50K +20,?,182117,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,145409,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +40,Private,190122,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,331482,Prof-school,15,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,40,United-States,>50K +60,Self-emp-not-inc,170114,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1672,84,United-States,<=50K +48,Self-emp-inc,193188,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +46,Local-gov,267588,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,70,United-States,<=50K +48,Self-emp-inc,200471,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +22,?,175586,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,35,United-States,<=50K +24,Local-gov,322658,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,State-gov,263982,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +18,Private,266287,12th,8,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +39,Private,278187,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +65,Self-emp-inc,81413,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2352,65,United-States,<=50K +22,Private,221745,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +20,Private,140764,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +28,Private,206351,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,176814,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K +42,Local-gov,245307,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,48,United-States,>50K +61,State-gov,124971,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +28,Private,119545,Some-college,10,Married-civ-spouse,Exec-managerial,Own-child,White,Male,7688,0,50,United-States,>50K +18,Private,179203,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +24,Federal-gov,44075,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +45,Private,178319,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,56,United-States,>50K +24,Private,219754,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +44,Private,198316,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +20,Private,168165,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +35,Private,356838,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,2829,0,55,Poland,<=50K +52,Self-emp-inc,210736,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +25,Private,173212,Assoc-acdm,12,Never-married,Farming-fishing,Not-in-family,White,Male,2354,0,45,United-States,<=50K +19,Private,130431,5th-6th,3,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,36,Mexico,<=50K +35,?,169809,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +54,Private,197481,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +21,Private,155066,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,31290,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +42,Private,54102,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,181546,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +55,Private,153484,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +44,State-gov,351228,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,131976,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,55,United-States,<=50K +26,Private,200639,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +64,Federal-gov,267546,Assoc-acdm,12,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +41,Private,179875,11th,7,Divorced,Other-service,Unmarried,Other,Female,0,0,40,United-States,<=50K +25,?,237865,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,40,?,<=50K +43,Private,300528,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,67716,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,10520,0,48,United-States,>50K +48,Federal-gov,326048,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K +60,Private,191188,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,32172,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +51,Private,252903,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K +37,Federal-gov,334314,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,83704,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +44,Private,160574,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,>50K +27,Private,203776,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +47,Local-gov,328610,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,295589,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1977,40,United-States,>50K +40,Private,174373,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +41,Private,247752,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +32,?,199244,10th,6,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,139992,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,95680,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +55,Self-emp-inc,189933,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +38,Private,498785,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +24,State-gov,177526,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,15,United-States,<=50K +64,Self-emp-not-inc,150121,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,>50K +56,Federal-gov,130454,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +41,Private,119079,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,49,United-States,>50K +33,Private,220939,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,45,United-States,>50K +33,Private,94235,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Male,0,0,42,United-States,>50K +21,Private,305874,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +59,Local-gov,62020,HS-grad,9,Widowed,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +58,Private,235624,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Germany,>50K +43,Local-gov,247514,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +21,Private,275726,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +45,Private,72896,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Local-gov,110510,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K +41,Private,173938,Prof-school,15,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,?,>50K +27,Private,200641,10th,6,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,Mexico,<=50K +53,Private,211654,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,?,>50K +38,Private,242720,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +31,Private,111567,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K +41,Private,179533,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K +22,State-gov,334693,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +43,Self-emp-not-inc,198096,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +41,State-gov,355756,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,19395,Some-college,10,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,35,United-States,<=50K +41,Local-gov,242586,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,208358,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,99999,0,45,United-States,>50K +49,Private,160647,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +20,Private,227943,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K +58,Self-emp-not-inc,197665,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K +35,Self-emp-not-inc,216129,12th,8,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,Trinadad&Tobago,<=50K +30,Local-gov,326104,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +21,Private,57211,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,100219,Assoc-acdm,12,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,45,United-States,<=50K +40,Private,291192,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +54,State-gov,93415,Bachelors,13,Never-married,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,>50K +35,Private,191502,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +35,Private,261382,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,170230,Bachelors,13,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,40,?,<=50K +59,Private,374924,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +43,Self-emp-inc,320984,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,338320,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +51,Private,135190,7th-8th,4,Separated,Machine-op-inspct,Not-in-family,Black,Female,0,0,30,United-States,<=50K +71,Private,157909,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,2964,0,60,United-States,<=50K +33,Private,637222,12th,8,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +28,Private,430084,HS-grad,9,Divorced,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K +30,Private,125279,HS-grad,9,Married-spouse-absent,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K +20,Private,221955,5th-6th,3,Married-spouse-absent,Farming-fishing,Other-relative,White,Male,0,0,40,Mexico,<=50K +51,Self-emp-inc,180195,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,208778,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,>50K +62,Private,81534,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +37,Private,325538,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,60,?,<=50K +28,Private,142264,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,Dominican-Republic,<=50K +23,Private,128604,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,48,South,<=50K +39,Private,277886,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K +50,Self-emp-inc,100029,Bachelors,13,Widowed,Sales,Unmarried,White,Male,0,0,65,United-States,>50K +31,Private,169269,7th-8th,4,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +45,Local-gov,160472,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +23,?,123983,Bachelors,13,Never-married,?,Own-child,Other,Male,0,0,40,United-States,<=50K +47,Private,297884,10th,6,Widowed,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,Private,99131,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,18,United-States,<=50K +32,Private,44392,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +82,?,29441,7th-8th,4,Widowed,?,Not-in-family,White,Male,0,0,5,United-States,<=50K +49,Private,199029,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2415,55,United-States,>50K +74,Federal-gov,181508,HS-grad,9,Widowed,Other-service,Not-in-family,White,Male,0,0,17,United-States,<=50K +22,Private,190625,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K +32,Private,194740,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,Greece,<=50K +34,Private,27380,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K +59,Private,160631,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +36,Private,224531,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +59,Private,283005,11th,7,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Self-emp-inc,101926,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,>50K +53,Local-gov,135102,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,2002,45,United-States,<=50K +25,Self-emp-not-inc,113436,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K +44,Private,248973,Bachelors,13,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,65,United-States,<=50K +57,Self-emp-not-inc,225334,Prof-school,15,Married-civ-spouse,Sales,Wife,White,Female,15024,0,35,United-States,>50K +42,Self-emp-not-inc,157562,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1902,80,United-States,>50K +58,Local-gov,310085,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,129597,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,3464,0,40,United-States,<=50K +32,?,53042,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +45,Private,204205,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,48,United-States,<=50K +47,Private,169324,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,35,United-States,>50K +52,?,134447,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K +56,Self-emp-not-inc,236731,1st-4th,2,Separated,Exec-managerial,Not-in-family,White,Male,0,0,25,?,<=50K +52,Private,141301,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,235124,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K +36,Self-emp-not-inc,367020,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +41,Private,149102,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Poland,<=50K +30,Private,423770,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,Mexico,<=50K +44,Private,211759,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Other,Male,0,0,40,Puerto-Rico,<=50K +17,?,110998,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +34,Private,56883,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,223062,Some-college,10,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +29,Private,406662,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,206600,9th,5,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,48,Mexico,<=50K +42,Local-gov,147510,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +48,Private,235646,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,3103,0,40,United-States,>50K +26,Private,187577,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K +64,Self-emp-inc,132832,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,20051,0,40,?,>50K +46,Self-emp-inc,278322,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +38,Private,278924,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K +49,State-gov,203039,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,145651,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K +46,Local-gov,144531,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +30,Private,91145,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,55,United-States,<=50K +49,Self-emp-not-inc,211762,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +47,?,111563,Assoc-voc,11,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,180985,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,>50K +31,Private,207537,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,1669,50,United-States,<=50K +19,Private,417657,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K +45,Private,189890,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,5455,0,38,United-States,<=50K +34,Private,223212,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,40,Peru,>50K +26,Private,108658,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,190023,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +31,Private,222130,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K +36,Self-emp-inc,164866,Assoc-acdm,12,Separated,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +31,Private,170983,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +30,Private,186269,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,286026,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +30,Private,403433,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,50,United-States,>50K +21,?,224209,HS-grad,9,Married-civ-spouse,?,Wife,Black,Female,0,0,30,United-States,<=50K +73,Private,123160,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,10,United-States,<=50K +38,Federal-gov,99527,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +30,Private,123178,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +33,Private,231043,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +52,Local-gov,317733,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +58,Private,241056,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,46,United-States,<=50K +34,Local-gov,220066,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +35,Private,180342,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +59,Federal-gov,31840,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +45,Private,183168,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,386036,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,<=50K +31,Local-gov,446358,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,Mexico,>50K +45,Private,28035,Some-college,10,Never-married,Farming-fishing,Other-relative,White,Male,0,0,50,United-States,<=50K +40,Private,282155,HS-grad,9,Separated,Other-service,Other-relative,White,Female,0,0,25,United-States,<=50K +27,Private,192384,Prof-school,15,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,383637,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +29,Private,457402,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,25,Mexico,<=50K +34,Self-emp-inc,80249,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K +32,State-gov,159537,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,240859,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Cuba,<=50K +33,Private,83446,11th,7,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K +74,?,29866,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,<=50K +62,Private,185503,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +39,Self-emp-not-inc,68781,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,220589,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,51136,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,60,United-States,<=50K +24,Private,54560,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +76,?,28221,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,Canada,>50K +25,Private,201413,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +19,Private,40425,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,28,United-States,<=50K +31,Private,189461,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,41,United-States,<=50K +53,Private,200576,11th,7,Divorced,Craft-repair,Other-relative,White,Female,0,0,40,United-States,<=50K +61,Private,92691,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,3,United-States,<=50K +47,Private,664821,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,El-Salvador,<=50K +37,Private,175130,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +50,Self-emp-not-inc,391016,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K +27,Private,249315,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,44,United-States,<=50K +58,Private,111169,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,334946,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +39,Private,352248,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,173804,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +56,Private,155449,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +26,Private,73689,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K +23,Private,227594,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,38,United-States,<=50K +47,Private,161676,11th,7,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +68,Private,75913,12th,8,Widowed,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +47,Local-gov,242552,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K +45,Federal-gov,352094,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,7688,0,40,Guatemala,>50K +26,Private,159732,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +20,Private,131230,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,1590,40,United-States,<=50K +46,Private,180695,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +37,Private,189922,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +37,Private,409189,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +43,Private,111252,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,42,United-States,<=50K +59,Private,294395,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,172718,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,43403,Some-college,10,Divorced,Farming-fishing,Not-in-family,White,Female,0,1590,54,United-States,<=50K +63,Private,111963,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,16,United-States,<=50K +45,Private,247869,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +59,Private,114032,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +36,?,356838,12th,8,Never-married,?,Not-in-family,White,Male,0,0,35,United-States,<=50K +26,Private,179633,HS-grad,9,Never-married,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K +34,Private,19847,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,231689,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +26,Private,209942,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +53,Private,197492,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,262439,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K +46,Private,283037,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +79,?,144533,HS-grad,9,Widowed,?,Not-in-family,Black,Female,0,0,30,United-States,<=50K +31,Private,83446,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,215443,HS-grad,9,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Local-gov,268252,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,62,United-States,<=50K +40,Private,181015,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,47,United-States,<=50K +41,Self-emp-inc,139916,Assoc-voc,11,Married-civ-spouse,Sales,Husband,Other,Male,0,2179,84,Mexico,<=50K +20,Private,195770,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,26,United-States,<=50K +45,Private,125194,11th,7,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +27,Private,58654,Assoc-voc,11,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,252327,5th-6th,3,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K +30,Private,116508,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,<=50K +36,Private,166988,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +25,Private,374163,HS-grad,9,Married-spouse-absent,Farming-fishing,Not-in-family,Other,Male,0,0,40,Mexico,<=50K +30,?,96851,Some-college,10,Never-married,?,Not-in-family,White,Female,0,1719,25,United-States,<=50K +31,Private,196788,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +49,Private,186172,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,45,United-States,>50K +26,Private,245628,11th,7,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,20,United-States,<=50K +25,Private,159732,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,129856,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +24,Private,182812,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,3325,0,52,Dominican-Republic,<=50K +41,Private,314322,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +35,Private,102976,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +57,Self-emp-inc,42959,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +21,Private,256356,11th,7,Never-married,Priv-house-serv,Other-relative,White,Female,0,0,40,Mexico,<=50K +29,Private,136277,10th,6,Never-married,Other-service,Own-child,Black,Female,0,0,32,United-States,<=50K +36,Private,284616,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,185554,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +51,Private,138847,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +39,Private,33487,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,84306,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,50,United-States,<=50K +40,Self-emp-not-inc,223881,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,70,United-States,>50K +61,Private,149653,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,348739,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +20,?,235442,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K +21,Private,34506,HS-grad,9,Separated,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +40,Private,346964,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +46,Private,192208,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +21,Private,305874,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,54,United-States,<=50K +35,Self-emp-not-inc,462890,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,<=50K +39,Private,89508,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,200153,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +30,Private,179446,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,208965,9th,5,Never-married,Machine-op-inspct,Unmarried,Other,Male,0,0,40,Mexico,<=50K +32,Private,40142,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +46,Self-emp-not-inc,57452,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +40,Private,327573,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,151267,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,15024,0,40,United-States,>50K +44,Private,265266,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,203836,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3464,0,40,Columbia,<=50K +51,?,163998,HS-grad,9,Married-spouse-absent,?,Not-in-family,White,Male,0,0,20,United-States,>50K +46,Self-emp-not-inc,28281,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +51,Private,293196,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,Iran,>50K +45,Private,214627,Doctorate,16,Widowed,Prof-specialty,Unmarried,White,Male,15020,0,40,Iran,>50K +20,Private,368852,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +44,Private,353396,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +33,Private,161745,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +18,Private,97963,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +61,Self-emp-inc,156542,Prof-school,15,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +50,State-gov,198103,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Federal-gov,55377,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K +34,Private,173730,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +53,Private,374588,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,60,United-States,<=50K +39,Self-emp-not-inc,174330,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,78141,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +66,?,190324,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,18,United-States,<=50K +26,Private,31350,11th,7,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +41,Private,243607,5th-6th,3,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K +47,Local-gov,134671,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,197023,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +52,Private,117674,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +29,Private,169815,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +43,Private,598606,9th,5,Separated,Handlers-cleaners,Unmarried,Black,Female,0,0,50,United-States,<=50K +42,Federal-gov,122861,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +35,Private,166235,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,30,United-States,<=50K +41,Private,187821,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2885,0,40,United-States,<=50K +34,Private,340940,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,60,United-States,>50K +52,Self-emp-not-inc,194791,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,231323,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Local-gov,305597,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +19,Private,25429,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +46,State-gov,192779,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +39,Private,346478,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +22,Private,341368,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K +30,State-gov,295612,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,168936,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K +43,Private,218558,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,3325,0,40,United-States,<=50K +37,Private,336598,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,36,Mexico,<=50K +23,Private,308205,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +39,Local-gov,357173,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,59,United-States,<=50K +54,Private,457237,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +46,Self-emp-inc,284799,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +20,Private,179423,Some-college,10,Never-married,Transport-moving,Own-child,White,Female,0,0,40,United-States,<=50K +50,Self-emp-not-inc,363405,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,50,United-States,>50K +17,Private,139183,10th,6,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +36,Private,203482,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,112554,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +53,Private,99476,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K +50,Private,93690,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +38,Private,220585,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +63,Self-emp-not-inc,194638,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K +53,Private,154785,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +40,?,162108,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,50,United-States,<=50K +23,Self-emp-inc,214542,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +20,Private,161922,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,43,United-States,<=50K +46,Private,207940,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +28,Private,259351,10th,6,Never-married,Other-service,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,Mexico,<=50K +59,Private,208395,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +41,Private,116391,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +33,Private,239781,Preschool,1,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +56,Private,174351,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,<=50K +50,Self-emp-not-inc,44368,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,55,El-Salvador,>50K +31,Local-gov,188798,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +41,Private,50122,Assoc-voc,11,Divorced,Sales,Own-child,White,Male,0,0,50,United-States,<=50K +38,Private,111398,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,40,United-States,>50K +25,State-gov,152035,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +18,?,139003,HS-grad,9,Never-married,?,Other-relative,Other,Female,0,0,12,United-States,<=50K +49,Local-gov,249289,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +39,Private,257726,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +22,?,113175,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +21,Private,151158,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,25,United-States,<=50K +35,Private,465326,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +21,?,356772,HS-grad,9,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,364782,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +55,Private,198385,7th-8th,4,Widowed,Other-service,Unmarried,White,Female,0,0,20,?,<=50K +31,Private,329301,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K +17,Self-emp-inc,254859,11th,7,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +31,Private,203488,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,50,United-States,>50K +25,Local-gov,222800,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,96452,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +50,Private,170050,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +38,Local-gov,116580,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K +50,Private,400004,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +63,Private,183608,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,194055,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,210443,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +18,Private,43272,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +43,Local-gov,108945,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,48,United-States,<=50K +34,Private,114691,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +18,Private,304169,11th,7,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +46,Private,503923,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,4386,0,40,United-States,>50K +35,Private,340428,Bachelors,13,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,>50K +46,State-gov,106705,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K +59,Private,146391,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,United-States,>50K +31,Private,235389,7th-8th,4,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,30,Portugal,<=50K +27,Private,39665,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,37,United-States,<=50K +41,Private,113823,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,England,<=50K +42,Private,217826,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,?,<=50K +55,Private,349304,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +34,?,197688,HS-grad,9,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +44,Private,54507,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,117833,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,1669,50,United-States,<=50K +36,Private,163396,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +69,Private,88566,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,1424,0,35,United-States,<=50K +33,Private,323619,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,75755,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,148903,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,16,United-States,>50K +25,Private,40915,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +21,Private,182606,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,?,<=50K +18,Private,131033,11th,7,Never-married,Other-service,Other-relative,Black,Male,0,0,15,United-States,<=50K +35,Self-emp-not-inc,168475,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +20,Private,121568,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +26,Private,139098,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,40,United-States,<=50K +46,Private,357338,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,283268,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,36,United-States,<=50K +40,Private,572751,Prof-school,15,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,Mexico,>50K +40,Private,315321,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,625,52,United-States,<=50K +31,Private,120461,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Self-emp-not-inc,65278,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +23,Self-emp-not-inc,208503,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +25,Local-gov,112835,Masters,14,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,265038,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +18,Private,89478,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +55,Private,276229,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K +52,Private,366232,9th,5,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,Cuba,<=50K +26,Private,152035,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +37,Private,205339,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,>50K +39,Private,75995,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +62,Self-emp-not-inc,192236,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +19,?,188618,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K +47,Private,229737,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +51,Local-gov,199688,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +55,Private,52953,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,221043,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +59,Federal-gov,115389,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K +45,Self-emp-not-inc,204205,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K +52,Private,338816,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K +21,Private,197387,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +31,Private,42485,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K +29,Private,367706,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K +24,Private,102493,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,263746,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K +47,Private,115358,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +46,Private,189680,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +32,?,282622,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,28,United-States,<=50K +34,Private,127651,10th,6,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,44,?,<=50K +63,Private,230823,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Cuba,<=50K +21,Private,300812,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +18,Private,174732,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,36,United-States,<=50K +49,State-gov,183710,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +81,Self-emp-not-inc,137018,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +36,Self-emp-inc,213008,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +47,Private,357848,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +36,Private,165799,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +39,Self-emp-not-inc,188571,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +46,Private,97883,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +43,Local-gov,105862,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1902,40,United-States,>50K +39,Local-gov,57424,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +29,Private,151476,Some-college,10,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,129583,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,16,United-States,<=50K +57,Private,180920,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K +38,Self-emp-not-inc,182416,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,42,United-States,<=50K +25,Private,251915,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +39,Local-gov,187127,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,69045,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,40,Jamaica,<=50K +56,Private,192869,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,44,United-States,>50K +39,Private,74163,12th,8,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,60847,Assoc-voc,11,Never-married,Sales,Unmarried,White,Female,0,0,60,United-States,<=50K +17,?,213055,11th,7,Never-married,?,Not-in-family,Other,Female,0,0,20,United-States,<=50K +67,Self-emp-not-inc,116057,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,3273,0,16,United-States,<=50K +41,Private,82393,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,50,United-States,<=50K +24,Local-gov,134181,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,50,United-States,<=50K +51,Private,159910,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Black,Male,10520,0,40,United-States,>50K +30,Self-emp-inc,117570,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K +47,Self-emp-inc,214169,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,15024,0,40,United-States,>50K +56,Private,56331,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,32,United-States,<=50K +51,Private,35576,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K +57,Self-emp-not-inc,149168,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +34,Private,157165,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,278130,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,257200,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,283122,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +23,Private,580248,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,230054,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +58,Private,519006,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K +19,?,37332,HS-grad,9,Never-married,?,Own-child,White,Female,1055,0,12,United-States,<=50K +19,?,365871,7th-8th,4,Never-married,?,Not-in-family,White,Male,0,0,40,Mexico,<=50K +68,State-gov,235882,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2377,60,United-States,>50K +43,Private,336513,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K +17,Private,115551,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +53,State-gov,50048,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +37,Self-emp-inc,382802,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,99,United-States,>50K +21,?,180303,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,0,0,25,?,<=50K +63,Private,106023,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +31,Private,332379,Some-college,10,Married-spouse-absent,Transport-moving,Unmarried,White,Male,0,0,50,United-States,<=50K +29,Private,95465,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +43,Local-gov,96102,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,40,United-States,>50K +27,Private,36440,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,65,United-States,>50K +25,Self-emp-not-inc,209384,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,32,United-States,<=50K +28,Private,50814,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +54,Private,143865,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +74,?,104661,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,12,United-States,<=50K +31,Local-gov,50442,Some-college,10,Never-married,Exec-managerial,Own-child,Amer-Indian-Eskimo,Female,0,0,32,United-States,<=50K +23,Private,236601,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,48,United-States,<=50K +19,Private,100999,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K +39,?,362685,Preschool,1,Widowed,?,Not-in-family,White,Female,0,0,20,El-Salvador,<=50K +61,Self-emp-not-inc,32423,HS-grad,9,Married-civ-spouse,Farming-fishing,Wife,White,Female,22040,0,40,United-States,<=50K +59,?,154236,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,7688,0,40,United-States,>50K +27,Self-emp-inc,153546,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,White,Female,0,0,36,United-States,>50K +19,Private,182355,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K +23,?,191444,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +25,Local-gov,44216,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K +40,Private,97688,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,>50K +53,Private,209022,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K +32,Private,96016,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +72,Self-emp-not-inc,52138,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2392,25,United-States,>50K +61,Private,159046,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,138634,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,130125,10th,6,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Female,1055,0,20,United-States,<=50K +73,Private,247355,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,16,Canada,<=50K +41,Self-emp-not-inc,227065,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,244771,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,20,Jamaica,<=50K +23,Private,215616,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,Canada,<=50K +65,Private,386672,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,15,United-States,<=50K +45,Self-emp-inc,177543,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K +52,Federal-gov,617021,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Black,Male,7688,0,40,United-States,>50K +24,Local-gov,117109,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,27,United-States,<=50K +23,Private,373550,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,19847,Some-college,10,Divorced,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +26,Private,189590,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,58343,HS-grad,9,Divorced,Farming-fishing,Unmarried,White,Male,0,0,56,United-States,<=50K +17,Private,354201,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,119422,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,363405,HS-grad,9,Separated,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +63,Private,181863,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,27,United-States,<=50K +27,Private,194472,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,60,United-States,<=50K +31,Private,247328,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3137,0,40,Mexico,<=50K +71,Self-emp-not-inc,130731,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +35,Private,236910,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +44,Private,378251,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,38,United-States,<=50K +36,Private,120760,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K +22,Private,203182,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Female,0,0,20,United-States,<=50K +32,Private,130304,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1485,48,United-States,<=50K +30,Local-gov,352542,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +60,?,191024,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,197728,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +76,Private,316185,7th-8th,4,Widowed,Protective-serv,Not-in-family,White,Female,0,0,12,United-States,<=50K +41,Private,89226,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,292353,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,United-States,<=50K +45,Private,304570,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K +32,Private,180296,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,361487,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,218490,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1848,40,United-States,>50K +63,Self-emp-not-inc,231777,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,189832,Assoc-acdm,12,Never-married,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K +61,Private,232308,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,State-gov,33308,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,333677,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +33,Private,170651,HS-grad,9,Never-married,Other-service,Own-child,White,Female,1055,0,40,United-States,<=50K +39,Private,343403,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,36,United-States,<=50K +53,Private,166386,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,40,China,<=50K +26,Federal-gov,48099,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,143062,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,32,United-States,<=50K +18,Private,104704,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K +34,Private,30497,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +44,State-gov,174325,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,7688,0,40,United-States,>50K +31,Private,286675,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +44,Private,59474,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +42,Private,378384,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,60,United-States,>50K +43,Private,245842,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,Mexico,<=50K +33,Private,274222,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,7688,0,38,United-States,>50K +21,Private,342575,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,30,United-States,<=50K +30,Private,206051,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +55,Private,234213,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +57,Private,145189,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,233490,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +32,Private,344129,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +62,Self-emp-not-inc,171315,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +31,Self-emp-not-inc,181485,Bachelors,13,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,>50K +51,Private,255412,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,France,>50K +37,Private,262409,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,213,45,United-States,<=50K +45,Private,199590,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,Mexico,<=50K +47,Private,84726,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,?,226883,HS-grad,9,Divorced,?,Own-child,White,Male,0,0,75,United-States,<=50K +75,Self-emp-not-inc,184335,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K +43,Private,102025,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,50,United-States,<=50K +39,Private,183898,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,60,Germany,>50K +30,Private,55291,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +27,Private,150025,5th-6th,3,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Guatemala,<=50K +44,Private,100584,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +53,Local-gov,181755,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,>50K +40,Private,150528,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,107277,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +33,Private,247205,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,England,<=50K +20,Private,291979,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,270985,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,<=50K +48,Private,62605,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +46,Self-emp-not-inc,176863,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,53197,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,267776,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,30,United-States,<=50K +24,Private,308205,7th-8th,4,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K +30,Private,306383,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K +70,Private,35494,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K +26,Private,291968,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,<=50K +34,Private,80933,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,40,United-States,<=50K +46,Private,271828,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +70,Private,121993,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,5,United-States,<=50K +37,Local-gov,31023,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,36425,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +23,Private,407684,9th,5,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,Mexico,<=50K +28,Private,241895,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1628,40,United-States,<=50K +44,Self-emp-not-inc,158555,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +58,Private,140363,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,3325,0,30,United-States,<=50K +53,Private,123429,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +23,Private,40060,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,290286,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +21,?,249271,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +34,Local-gov,106169,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +43,Private,76487,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,437994,Some-college,10,Never-married,Other-service,Other-relative,Black,Male,0,0,20,United-States,<=50K +41,Private,113555,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,7298,0,50,United-States,>50K +36,Private,160120,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +41,Local-gov,343079,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1740,20,United-States,<=50K +27,Private,406662,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,4416,0,40,United-States,<=50K +42,Self-emp-not-inc,37618,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +27,Private,114158,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +41,Private,115562,HS-grad,9,Divorced,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,353994,Bachelors,13,Married-civ-spouse,Exec-managerial,Other-relative,Asian-Pac-Islander,Female,0,0,40,China,>50K +21,Private,344891,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K +44,Private,286750,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,>50K +29,Private,194197,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +19,Self-emp-not-inc,206599,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,22,United-States,<=50K +21,Local-gov,596776,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,Guatemala,<=50K +46,Private,56841,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,112561,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +43,Private,147110,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,48,United-States,>50K +54,Self-emp-inc,175339,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +38,Private,234901,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K +18,?,298133,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +50,Private,217083,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +30,Private,97757,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,>50K +30,Private,151868,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Local-gov,25864,HS-grad,9,Never-married,Exec-managerial,Unmarried,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K +26,Private,109419,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +37,Federal-gov,203070,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K +32,Private,107843,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,50,United-States,>50K +64,State-gov,264544,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,5,United-States,>50K +18,Private,148644,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,28,United-States,<=50K +30,Private,125762,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,United-States,<=50K +36,?,53606,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,3908,0,8,United-States,<=50K +18,Private,193741,11th,7,Never-married,Other-service,Other-relative,Black,Male,0,0,30,United-States,<=50K +27,Private,588905,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,115613,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +46,State-gov,222374,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,43,United-States,>50K +37,Private,185359,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,173647,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,31166,HS-grad,9,Divorced,Prof-specialty,Not-in-family,Other,Female,0,0,30,Germany,<=50K +22,?,517995,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,Mexico,<=50K +25,Self-emp-not-inc,189027,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +38,Private,296125,HS-grad,9,Separated,Priv-house-serv,Unmarried,Black,Female,0,0,30,United-States,<=50K +32,?,640383,Bachelors,13,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,334291,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +56,Private,318450,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,80,United-States,>50K +29,Private,174163,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,119721,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,142719,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,162593,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +46,Self-emp-not-inc,236852,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +28,Local-gov,154863,HS-grad,9,Never-married,Protective-serv,Other-relative,Black,Male,0,1876,40,United-States,<=50K +39,Private,168894,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +42,Self-emp-not-inc,344920,Some-college,10,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,50,United-States,<=50K +39,Private,33355,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,48,United-States,>50K +68,?,196782,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K +37,Self-emp-inc,291518,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,55,United-States,>50K +57,Private,170244,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,369549,Some-college,10,Never-married,Other-service,Not-in-family,Black,Female,0,0,30,United-States,<=50K +24,Private,23438,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,>50K +19,Private,202673,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K +55,Private,171780,Assoc-acdm,12,Divorced,Sales,Unmarried,Black,Female,0,0,30,United-States,<=50K +37,Local-gov,264503,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +37,Local-gov,244341,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +28,Private,209109,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +27,Private,187392,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,State-gov,119578,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,20,United-States,<=50K +51,Private,195105,HS-grad,9,Divorced,Priv-house-serv,Own-child,White,Female,0,0,40,United-States,<=50K +52,Private,101752,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,56,United-States,<=50K +74,?,95825,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,3,United-States,<=50K +49,Self-emp-inc,362654,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +20,?,29810,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +40,Federal-gov,77332,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +80,Private,87518,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,1816,60,United-States,<=50K +63,Private,113324,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +63,Private,96299,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,45,United-States,>50K +51,Private,237729,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,200973,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +66,Self-emp-not-inc,212456,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,20,United-States,<=50K +33,Self-emp-not-inc,131568,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,66,United-States,<=50K +49,Private,185859,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K +20,Private,231981,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,32,United-States,<=50K +33,Self-emp-inc,117963,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,60,United-States,>50K +26,Private,78172,Some-college,10,Married-AF-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,164135,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +33,Private,171216,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +47,Private,140664,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +23,Private,249277,HS-grad,9,Never-married,Exec-managerial,Own-child,Black,Male,0,0,75,United-States,<=50K +53,Federal-gov,117847,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,52372,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +26,Federal-gov,95806,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K +53,Private,137428,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +65,Private,169047,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,10,United-States,<=50K +68,Private,339168,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K +30,Private,504725,10th,6,Never-married,Sales,Other-relative,White,Male,0,0,18,Guatemala,<=50K +28,Private,132870,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +54,Local-gov,135840,10th,6,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,<=50K +30,Private,35644,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K +22,Private,198148,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K +25,Private,220098,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +19,Private,262515,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,20,United-States,<=50K +19,?,423863,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +32,Federal-gov,111567,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +23,Private,194096,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +51,Local-gov,420917,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +25,Private,197871,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,>50K +46,Local-gov,253116,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +38,Private,206535,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,50,United-States,<=50K +26,State-gov,70447,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +46,Private,201217,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,209970,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,196745,Some-college,10,Never-married,Other-service,Own-child,White,Female,594,0,16,United-States,<=50K +29,Local-gov,175262,Masters,14,Married-civ-spouse,Prof-specialty,Other-relative,White,Male,0,0,35,United-States,<=50K +51,Self-emp-inc,304955,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +40,Private,181265,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K +24,Private,200973,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Self-emp-not-inc,37440,Bachelors,13,Never-married,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K +31,Private,395170,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,Amer-Indian-Eskimo,Female,0,0,24,Mexico,<=50K +54,?,32385,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +34,Private,353213,Assoc-acdm,12,Separated,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +19,Private,38619,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,66,United-States,<=50K +21,Private,177711,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K +21,Private,190761,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +23,Private,27776,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,24,United-States,<=50K +37,Federal-gov,470663,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,71738,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,46,United-States,>50K +57,Private,74156,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +48,Private,202467,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1485,40,United-States,>50K +24,Private,123983,11th,7,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +43,Private,193494,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +32,?,169886,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,20,?,<=50K +40,Private,130571,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,Self-emp-inc,90363,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,35,United-States,>50K +49,Private,83444,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,239093,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,3137,0,40,United-States,<=50K +62,Local-gov,151369,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,56630,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,117095,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +55,Federal-gov,189985,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +20,?,34862,Some-college,10,Never-married,?,Own-child,Amer-Indian-Eskimo,Male,0,0,72,United-States,<=50K +37,Self-emp-inc,126675,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +43,State-gov,199806,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +29,Private,57596,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,103459,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +28,Private,282398,Some-college,10,Separated,Tech-support,Unmarried,White,Male,0,0,40,United-States,>50K +38,Private,298841,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +45,Private,33300,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,1977,50,United-States,>50K +22,?,306031,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,306467,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +20,Private,189888,12th,8,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Private,83861,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,117393,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,129934,Some-college,10,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,40,?,<=50K +51,Private,179010,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K +31,Private,375680,Bachelors,13,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,40,?,<=50K +48,Private,316101,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,293305,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K +51,Local-gov,175750,HS-grad,9,Divorced,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K +41,Private,121718,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,1848,48,United-States,>50K +62,?,94931,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,3411,0,40,United-States,<=50K +50,State-gov,229272,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +46,Private,142828,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +54,Private,22743,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,60,United-States,>50K +68,Private,76371,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,>50K +23,Self-emp-not-inc,216129,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +49,Private,107425,Masters,14,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +24,Private,611029,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +30,Local-gov,363032,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K +38,Private,170020,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3137,0,45,United-States,<=50K +34,Private,137900,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +22,Private,322674,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,23778,7th-8th,4,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +61,Private,147845,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,31,United-States,<=50K +36,Private,175759,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +51,Self-emp-inc,166459,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,128212,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,40,Vietnam,>50K +54,Federal-gov,127455,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,>50K +63,Private,134699,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K +51,Private,254230,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +63,Self-emp-not-inc,159715,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +51,Local-gov,116286,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +27,Private,146719,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +35,Private,361888,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +31,?,26553,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,25,United-States,>50K +46,Self-emp-not-inc,32825,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +53,Private,225768,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +26,Federal-gov,393728,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,24,United-States,<=50K +43,Private,160369,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +39,Private,191807,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +50,Federal-gov,176969,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,1590,40,United-States,<=50K +54,Federal-gov,33863,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +62,?,182687,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,45,United-States,>50K +57,State-gov,141459,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +19,?,174233,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,24,United-States,<=50K +29,Local-gov,95393,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +20,Private,221095,HS-grad,9,Never-married,Craft-repair,Other-relative,Black,Male,0,0,40,United-States,<=50K +53,Private,104501,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,55,United-States,>50K +18,?,437851,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +22,?,131230,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,495888,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,El-Salvador,<=50K +69,Private,185691,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,20,United-States,<=50K +56,Private,201822,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,2002,40,United-States,<=50K +53,Local-gov,549341,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,35,United-States,<=50K +28,Private,247445,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,199566,Bachelors,13,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +33,Self-emp-inc,139057,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,84,Taiwan,>50K +48,Private,185039,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +61,Private,166124,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +49,Private,82649,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,45,United-States,<=50K +48,Private,109275,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,408328,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,186338,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +27,?,130856,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,251579,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,14,United-States,<=50K +47,Private,76612,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +25,Private,22546,Bachelors,13,Never-married,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K +72,Private,53684,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K +29,Private,183627,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,73203,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +57,Private,108426,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,48,England,<=50K +50,Private,116287,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,Columbia,<=50K +45,Self-emp-inc,145697,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +52,Private,326156,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +53,Private,201127,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +36,Private,250791,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,<=50K +46,Private,328216,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +20,Private,400443,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +75,Private,95985,5th-6th,3,Widowed,Other-service,Unmarried,Black,Male,0,0,10,United-States,<=50K +32,Local-gov,127651,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +28,Private,250679,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,103950,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,200199,11th,7,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +46,State-gov,295791,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +39,Private,191841,Assoc-acdm,12,Separated,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +38,Private,82622,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +36,Private,160728,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K +63,Local-gov,109849,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,21,United-States,<=50K +28,Private,339897,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,Mexico,<=50K +28,?,37215,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,45,United-States,<=50K +49,Private,371299,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +43,Private,421837,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +38,Private,29702,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +39,Private,117381,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,62,England,<=50K +42,?,240027,HS-grad,9,Divorced,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +40,Private,338740,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +45,?,28359,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,10,United-States,<=50K +29,?,315026,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Federal-gov,314525,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,1741,45,United-States,<=50K +30,Private,173005,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +44,Private,286750,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +40,Private,163985,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,24,United-States,<=50K +30,Private,219318,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,35,Puerto-Rico,<=50K +42,Private,44121,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,1876,40,United-States,<=50K +52,Self-emp-not-inc,103794,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +42,Private,310632,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +39,Private,153976,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K +43,Private,174575,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Male,0,0,45,United-States,<=50K +62,Self-emp-not-inc,82388,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,10566,0,40,United-States,<=50K +30,Private,207253,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,England,<=50K +83,?,251951,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +39,Private,746786,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +41,Private,308296,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,20,United-States,<=50K +49,Private,101825,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,40,United-States,>50K +25,Private,109009,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,413363,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2002,40,United-States,<=50K +59,?,117751,Assoc-acdm,12,Divorced,?,Not-in-family,White,Male,0,0,8,United-States,<=50K +44,State-gov,296326,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,208358,9th,5,Divorced,Handlers-cleaners,Not-in-family,White,Male,4650,0,56,United-States,<=50K +40,Private,120277,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,Ireland,<=50K +21,Private,193219,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,35,Jamaica,<=50K +41,Private,86399,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +24,Private,215251,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +67,Self-emp-not-inc,124470,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +24,Private,228649,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,38,United-States,<=50K +50,Self-emp-not-inc,386397,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +48,Private,96798,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K +55,?,106707,Assoc-acdm,12,Married-civ-spouse,?,Husband,Black,Male,0,0,20,United-States,>50K +29,Private,159768,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,3325,0,40,Ecuador,<=50K +50,Private,139464,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,36,Ireland,<=50K +64,State-gov,550848,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +49,Private,68505,9th,5,Divorced,Other-service,Not-in-family,Black,Male,0,0,37,United-States,<=50K +20,Private,122215,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,52,United-States,<=50K +30,Private,159442,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,80638,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,30,China,<=50K +52,Private,192390,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +22,Private,191324,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,25,United-States,<=50K +77,?,147284,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,14,United-States,<=50K +19,State-gov,73009,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K +52,Private,177858,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,55,United-States,>50K +42,Private,163003,Bachelors,13,Married-spouse-absent,Tech-support,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +35,Private,95551,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Female,0,0,36,United-States,<=50K +27,Private,125298,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K +54,State-gov,198186,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,38,United-States,<=50K +37,Private,295949,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1628,40,United-States,<=50K +37,Private,182668,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K +28,Private,124905,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +63,Private,171635,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,376240,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,42,United-States,<=50K +28,Private,157391,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +23,?,114357,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,178134,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +31,Private,207201,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +35,Private,124483,Bachelors,13,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,50,?,>50K +64,Private,102103,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,50,United-States,<=50K +40,Private,92036,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +59,Local-gov,236426,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +22,Private,400966,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +40,Private,404573,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,44,United-States,<=50K +35,Private,227571,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +20,Private,145917,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +35,Local-gov,190226,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,356555,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K +28,Private,66473,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +37,?,172256,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +72,?,118902,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,2392,6,United-States,>50K +25,Self-emp-inc,163039,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +37,Private,89559,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +19,?,35507,Some-college,10,Never-married,?,Own-child,White,Female,0,0,45,United-States,<=50K +31,Private,163303,Assoc-voc,11,Divorced,Sales,Own-child,White,Female,0,0,38,United-States,<=50K +41,Private,192712,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +31,Private,381153,10th,6,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +44,Private,222434,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,34706,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,47,United-States,<=50K +57,Self-emp-not-inc,47857,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +26,Private,195216,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,12,United-States,<=50K +44,Self-emp-inc,103643,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,60,Greece,<=50K +29,Local-gov,329426,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,183612,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K +40,Private,184105,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +21,Private,211385,Assoc-acdm,12,Never-married,Other-service,Not-in-family,Black,Male,0,0,35,Jamaica,<=50K +21,Private,61777,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,70,United-States,<=50K +34,Self-emp-not-inc,320194,Prof-school,15,Separated,Prof-specialty,Unmarried,White,Male,0,0,48,United-States,>50K +24,Private,199444,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,15,United-States,<=50K +28,Private,312588,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,168675,HS-grad,9,Separated,Transport-moving,Own-child,White,Male,0,0,50,United-States,<=50K +35,Private,87556,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,State-gov,220421,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Federal-gov,404599,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +39,Private,99065,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,Poland,>50K +57,Local-gov,109973,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,246652,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,57423,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +23,Private,291248,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Male,0,0,40,United-States,<=50K +50,Private,163708,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Self-emp-not-inc,240358,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +28,Private,25955,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +44,Private,101593,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +29,Self-emp-not-inc,227890,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +31,Private,225053,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +27,Private,228472,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +34,Private,245378,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +50,Self-emp-inc,156623,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,7688,0,50,Philippines,>50K +27,Private,35032,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +31,Private,258849,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +46,Private,190115,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Private,63910,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +40,Private,510072,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +28,Private,210867,11th,7,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,263024,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +51,Private,306785,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Self-emp-inc,104333,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +66,Private,340734,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,288585,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,20,South,<=50K +38,Private,241765,11th,7,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,60,United-States,<=50K +25,Private,111058,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,104662,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,22,United-States,<=50K +90,Private,313986,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +41,Local-gov,52037,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +34,?,146589,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +33,Private,131776,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,914,0,40,Germany,<=50K +33,Private,254221,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,152909,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,45,United-States,>50K +39,Self-emp-not-inc,211785,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Female,0,0,20,United-States,<=50K +59,Private,160362,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +19,Private,387215,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,1719,16,United-States,<=50K +39,Private,187046,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4064,0,38,United-States,<=50K +19,?,208874,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,169631,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +52,Private,202956,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +59,Self-emp-not-inc,80467,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K +28,Private,407672,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,243425,HS-grad,9,Divorced,Other-service,Other-relative,White,Female,0,0,50,Peru,<=50K +50,?,174964,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,99,United-States,<=50K +36,Private,347491,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +34,Private,146161,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +23,Private,449432,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +19,?,175499,11th,7,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +33,Private,288825,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,2258,84,United-States,<=50K +27,Local-gov,134813,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,52,United-States,<=50K +31,Local-gov,190401,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,260617,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,36,United-States,<=50K +31,Private,45604,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,54,United-States,<=50K +59,Private,67841,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +40,Local-gov,244522,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,48,United-States,>50K +19,Private,430471,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,194698,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +34,Private,94235,Bachelors,13,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +57,Private,188330,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,78,United-States,<=50K +51,Local-gov,146181,9th,5,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +21,Private,177125,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,20,United-States,<=50K +30,Self-emp-inc,68330,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +46,Private,95636,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K +40,Private,238329,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +52,Private,416129,Preschool,1,Married-civ-spouse,Other-service,Not-in-family,White,Male,0,0,40,El-Salvador,<=50K +23,Private,285004,Bachelors,13,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,50,Taiwan,<=50K +90,?,256514,Bachelors,13,Widowed,?,Other-relative,White,Female,991,0,10,United-States,<=50K +25,Private,186294,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +43,Private,188786,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +38,State-gov,31352,Some-college,10,Divorced,Protective-serv,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,>50K +22,Private,197613,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +33,Local-gov,161942,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,1055,0,40,United-States,<=50K +34,Private,275438,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,40,United-States,>50K +65,Private,361721,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K +50,Private,144968,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,15,United-States,<=50K +29,Private,190539,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,6849,0,48,United-States,<=50K +25,Private,178037,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,306985,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Private,87928,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +44,Private,242619,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,154165,9th,5,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,511331,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K +65,Local-gov,221026,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K +56,Self-emp-not-inc,222182,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,45,United-States,<=50K +39,Self-emp-not-inc,126569,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K +23,Private,202344,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +20,Private,190423,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +24,Private,238917,5th-6th,3,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,El-Salvador,<=50K +41,Private,221947,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K +40,Self-emp-inc,37997,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +55,Private,147098,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +38,Private,278253,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K +23,Private,195411,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +44,Private,76196,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +45,Private,120131,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K +20,Self-emp-not-inc,186014,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,Germany,<=50K +29,Private,205903,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +43,State-gov,125405,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,219838,12th,8,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,State-gov,19395,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +31,Private,223327,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +52,Private,114062,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,95654,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,Iran,>50K +38,Private,177305,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +66,?,299616,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +63,Self-emp-not-inc,117681,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,237651,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +33,State-gov,150570,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,State-gov,106705,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,1506,0,50,United-States,<=50K +20,?,174714,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +47,Self-emp-inc,175958,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,3325,0,60,United-States,<=50K +33,Private,144064,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +66,?,107112,7th-8th,4,Never-married,?,Other-relative,Black,Male,0,0,30,United-States,<=50K +20,Private,54152,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,?,<=50K +28,Private,152951,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,190487,HS-grad,9,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,28,Ecuador,<=50K +25,Private,306666,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,45,United-States,<=50K +37,Private,195148,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,White,Male,3137,0,40,United-States,<=50K +31,Self-emp-not-inc,226624,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +49,Private,157569,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,State-gov,22966,Some-college,10,Married-spouse-absent,Tech-support,Unmarried,White,Male,0,0,20,United-States,<=50K +52,Private,379682,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,White,Female,0,0,20,United-States,>50K +29,Private,446559,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K +18,Private,41794,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +31,Local-gov,90409,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +23,Private,125491,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Vietnam,<=50K +27,?,129661,Assoc-voc,11,Married-civ-spouse,?,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,>50K +54,Self-emp-not-inc,104748,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K +50,Local-gov,169182,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,49,Dominican-Republic,<=50K +46,Private,324655,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,1902,40,?,>50K +24,Private,122272,Bachelors,13,Never-married,Farming-fishing,Own-child,White,Female,0,0,40,United-States,<=50K +17,?,114798,11th,7,Never-married,?,Own-child,White,Female,0,0,18,United-States,<=50K +49,Self-emp-inc,289707,HS-grad,9,Separated,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K +54,Local-gov,137691,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +41,Private,84610,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,United-States,>50K +49,Private,166789,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +36,Local-gov,348728,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +23,Private,348092,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,Haiti,<=50K +63,Private,154526,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +67,Private,288371,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Canada,>50K +23,Private,182342,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,244366,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +66,Private,102423,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,United-States,<=50K +25,Private,259688,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,98733,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,20,United-States,<=50K +35,Private,174856,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,2885,0,40,United-States,<=50K +67,Self-emp-not-inc,141797,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,327202,12th,8,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +26,Private,76996,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,38,United-States,<=50K +34,Private,260560,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,370990,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,129010,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,10,United-States,<=50K +21,Private,452640,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +76,Self-emp-inc,120796,9th,5,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +51,Federal-gov,45334,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,70,?,<=50K +26,Private,229523,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,56,United-States,<=50K +18,Private,127388,12th,8,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +18,?,395567,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,119422,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1672,50,United-States,<=50K +59,Private,193895,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Private,163083,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,14084,0,45,United-States,>50K +33,Self-emp-not-inc,155343,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,72,United-States,<=50K +25,Private,73895,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +48,Private,107682,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,10,United-States,<=50K +64,Private,321166,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,5,United-States,<=50K +47,Local-gov,154940,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K +26,Private,103700,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,63509,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K +21,Private,243842,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +54,?,187221,7th-8th,4,Never-married,?,Not-in-family,White,Female,0,0,25,United-States,<=50K +30,Private,58597,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,44,United-States,<=50K +41,Self-emp-not-inc,190290,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,?,158352,Masters,14,Never-married,?,Not-in-family,White,Female,8614,0,35,United-States,>50K +34,Private,62165,Some-college,10,Never-married,Sales,Other-relative,Black,Male,0,0,30,United-States,<=50K +20,?,307149,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +24,Private,280134,10th,6,Never-married,Sales,Not-in-family,White,Male,0,0,49,El-Salvador,<=50K +26,Private,118736,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +25,Private,171114,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,48,United-States,<=50K +35,Private,169638,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,36,United-States,<=50K +41,Private,125461,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K +33,Private,145434,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,152182,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +27,Self-emp-inc,233724,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K +32,Private,153963,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +51,Local-gov,88120,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +38,Private,96330,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +41,Local-gov,66118,Some-college,10,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,25,United-States,<=50K +26,Private,182178,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,40,United-States,<=50K +38,Self-emp-not-inc,53628,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Male,0,0,35,United-States,<=50K +54,Private,174865,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +30,Private,66194,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,Outlying-US(Guam-USVI-etc),<=50K +31,Private,73796,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K +26,State-gov,28366,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +75,Self-emp-not-inc,231741,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,4931,0,3,United-States,<=50K +29,Private,237865,Masters,14,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K +61,Private,195453,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +24,Private,116934,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K +22,?,87867,12th,8,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +34,Private,456399,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,263608,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,263498,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,183765,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,?,<=50K +27,Federal-gov,469705,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,1980,40,United-States,<=50K +39,Local-gov,113253,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +20,Private,138768,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,302146,11th,7,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +68,Private,253866,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +28,Federal-gov,214858,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,48,United-States,<=50K +43,Private,243476,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,169104,Some-college,10,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,103218,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +41,Private,57233,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,228320,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +20,Private,217421,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +46,Private,185041,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,75,United-States,>50K +27,Self-emp-not-inc,37302,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,70,United-States,>50K +32,Private,261059,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K +46,Private,59767,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +26,Private,333541,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,24,United-States,<=50K +20,Private,133352,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +36,Private,99270,HS-grad,9,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,40,United-States,<=50K +49,Private,204629,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +32,Private,34104,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,55,United-States,>50K +32,Private,312667,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +49,Private,329603,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K +36,Private,281021,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +22,Private,275385,Some-college,10,Never-married,Other-service,Other-relative,White,Male,0,0,25,United-States,<=50K +52,Federal-gov,129177,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,385591,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +22,?,201179,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +72,Private,38360,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,16,United-States,<=50K +30,Local-gov,73796,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,67671,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,257621,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +22,Private,180052,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +59,Private,656036,Bachelors,13,Separated,Adm-clerical,Unmarried,White,Male,0,0,60,United-States,<=50K +46,Private,215943,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,488720,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +64,Federal-gov,199298,7th-8th,4,Widowed,Other-service,Unmarried,White,Female,0,0,30,Puerto-Rico,<=50K +31,Private,305692,Some-college,10,Married-civ-spouse,Sales,Wife,Black,Female,0,0,40,United-States,<=50K +64,Private,114994,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +45,Private,88265,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +59,Private,168569,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K +32,Private,175413,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,Jamaica,<=50K +43,Private,161226,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +66,?,160995,10th,6,Divorced,?,Not-in-family,White,Female,1086,0,20,United-States,<=50K +23,Private,208598,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +49,Self-emp-not-inc,200471,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,256609,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +49,Private,176684,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,206512,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,212640,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,85,United-States,<=50K +47,Private,148724,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,<=50K +41,Private,266510,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +34,Local-gov,240252,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +25,Private,358975,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +20,?,124242,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +21,Private,434710,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K +25,Private,204338,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,30,?,<=50K +46,Private,241844,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,191342,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,<=50K +41,Private,221947,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,>50K +44,Private,111483,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,1504,50,United-States,<=50K +30,Private,65278,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +54,Private,133403,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,166416,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K +58,?,142158,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,12,United-States,<=50K +21,Private,221480,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,25,Ecuador,<=50K +35,Self-emp-not-inc,189878,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +35,Private,278403,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,>50K +19,Private,184710,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +48,Private,177775,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,?,275943,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,Nicaragua,<=50K +65,Self-emp-not-inc,225473,Some-college,10,Widowed,Craft-repair,Not-in-family,White,Female,0,0,35,United-States,<=50K +40,Private,289403,Bachelors,13,Separated,Adm-clerical,Unmarried,Black,Male,0,0,35,United-States,<=50K +26,Private,269060,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,449354,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,214413,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,80058,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,202027,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,27828,0,50,United-States,>50K +22,Self-emp-not-inc,123440,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K +37,Private,191524,Assoc-voc,11,Separated,Prof-specialty,Own-child,White,Female,0,0,38,United-States,<=50K +25,Private,308144,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +64,Private,164204,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,53,?,<=50K +46,Private,205100,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +30,Private,195750,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,27,United-States,<=50K +63,Private,149756,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +51,Local-gov,240358,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +68,Self-emp-not-inc,241174,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,16,United-States,<=50K +36,Private,356838,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,Canada,<=50K +28,Self-emp-inc,115705,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +41,Local-gov,137142,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,296066,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,401335,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K +33,?,182771,Bachelors,13,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,80,Philippines,<=50K +34,Self-emp-inc,186824,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +46,Federal-gov,162187,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +28,Private,98010,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,172538,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K +18,Private,80163,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +33,Local-gov,43959,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +51,Private,162632,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,60,United-States,>50K +56,Self-emp-not-inc,115422,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +54,Private,100933,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,270379,HS-grad,9,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +40,Private,20109,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Female,0,0,84,United-States,<=50K +53,Private,114758,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,65,United-States,>50K +22,Private,100345,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +33,Private,184901,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +28,Private,87239,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +63,Private,127363,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,12,United-States,<=50K +53,Federal-gov,199720,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,Germany,>50K +37,Private,143058,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +50,Federal-gov,36489,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +22,Private,141698,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +40,Federal-gov,26358,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,195532,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,8614,0,40,United-States,>50K +21,Private,30039,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,125159,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,Jamaica,<=50K +20,Private,246250,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Federal-gov,77370,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,355569,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +32,Private,180603,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +42,Private,201785,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +33,Private,256211,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K +27,Private,146764,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +22,?,211968,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,Iran,<=50K +29,Private,200515,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,<=50K +29,Private,52636,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,27049,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K +35,Private,111128,10th,6,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +31,Self-emp-not-inc,348038,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,Puerto-Rico,>50K +33,Private,93930,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +67,Private,397831,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1539,40,United-States,<=50K +46,Private,33794,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,10,United-States,<=50K +45,Private,178215,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,>50K +17,Local-gov,191910,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +35,Private,340110,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,70,United-States,>50K +48,Self-emp-not-inc,133694,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,Black,Male,0,0,40,Jamaica,>50K +49,Private,148398,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +20,Private,133515,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K +27,Private,181667,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5013,0,46,Canada,<=50K +64,Private,159715,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +53,Federal-gov,174040,Some-college,10,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +52,Private,117700,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,37215,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +32,Self-emp-inc,46807,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K +48,Self-emp-not-inc,317360,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K +30,Private,425627,Some-college,10,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K +34,Private,82623,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +19,?,63574,Some-college,10,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K +39,Private,140854,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +28,Private,185061,11th,7,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +17,Private,160118,12th,8,Never-married,Sales,Not-in-family,White,Female,0,0,10,?,<=50K +54,Private,282680,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +24,Private,137591,Some-college,10,Never-married,Sales,Own-child,White,Male,0,1762,40,United-States,<=50K +25,Private,198163,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,132749,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,12,United-States,<=50K +48,Local-gov,31264,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,5178,0,40,United-States,>50K +24,Private,399449,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +31,Private,27494,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,50,Taiwan,<=50K +47,Private,368561,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +45,Private,102096,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,>50K +19,Private,406078,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +52,Self-emp-inc,100506,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +52,Private,29658,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +19,?,20469,HS-grad,9,Never-married,?,Other-relative,Asian-Pac-Islander,Female,0,0,12,South,<=50K +60,Private,181953,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,28,United-States,<=50K +43,Private,304175,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +24,Private,170070,Assoc-acdm,12,Divorced,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +20,?,193416,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +51,Private,194908,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Self-emp-not-inc,357962,9th,5,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,214716,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +40,Self-emp-inc,207578,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +54,Private,146409,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,341643,Bachelors,13,Never-married,Other-service,Other-relative,White,Male,0,0,50,United-States,<=50K +52,Private,131631,11th,7,Separated,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K +53,Private,88842,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K +56,?,128900,Some-college,10,Widowed,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +35,Private,417136,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,336763,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,880,42,United-States,<=50K +29,Private,209301,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,<=50K +29,Private,120986,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,65,United-States,<=50K +27,Private,51025,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Private,218281,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K +64,Private,114994,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,18,United-States,<=50K +53,Private,335481,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,32,United-States,<=50K +21,Private,174503,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +40,Self-emp-not-inc,230478,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K +52,State-gov,149650,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Iran,>50K +38,Private,149419,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K +40,?,341539,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +39,Private,185099,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +56,?,132930,Masters,14,Never-married,?,Not-in-family,White,Female,0,0,50,United-States,>50K +68,Private,128472,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +24,Private,124971,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K +40,Self-emp-inc,344060,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +43,Self-emp-inc,286750,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,99,United-States,>50K +38,Private,296999,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,70,United-States,<=50K +45,Private,123681,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +18,Private,232024,11th,7,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,55,United-States,<=50K +57,Local-gov,52267,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +49,Private,119182,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K +25,Private,191230,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,Yugoslavia,<=50K +52,Federal-gov,23780,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Private,184553,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,56,United-States,<=50K +26,Self-emp-inc,242651,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K +19,Private,246226,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Self-emp-inc,86745,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +25,Private,106889,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K +21,Private,460835,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,45,United-States,<=50K +48,Self-emp-not-inc,213140,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,<=50K +33,State-gov,37070,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,Canada,<=50K +31,State-gov,93589,HS-grad,9,Divorced,Protective-serv,Own-child,Other,Male,0,0,40,United-States,<=50K +26,Self-emp-not-inc,213258,HS-grad,9,Divorced,Farming-fishing,Unmarried,White,Male,0,0,65,United-States,<=50K +37,State-gov,46814,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K +29,?,168873,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,30,United-States,<=50K +20,Private,284737,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +28,Private,309620,Some-college,10,Married-civ-spouse,Sales,Husband,Other,Male,0,0,60,?,<=50K +49,Private,197418,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +73,?,132737,10th,6,Never-married,?,Not-in-family,White,Male,0,0,4,United-States,<=50K +49,Private,185041,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K +51,Private,159604,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +40,Private,123557,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,275421,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +18,Private,167147,12th,8,Never-married,Sales,Own-child,White,Male,0,0,24,United-States,<=50K +41,Private,197583,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K +46,Private,175109,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1485,40,United-States,>50K +46,Private,117502,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +64,Private,180401,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +50,Self-emp-not-inc,146603,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +53,State-gov,143822,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,>50K +21,Private,51985,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,State-gov,48121,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K +37,Private,234807,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,7430,0,45,United-States,>50K +39,Federal-gov,65324,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K +30,Private,302149,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K +25,Private,168403,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,1741,40,United-States,<=50K +26,Private,159897,Some-college,10,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +43,Private,416338,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +59,Private,370615,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,60,United-States,<=50K +27,Private,219371,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,Jamaica,<=50K +55,Private,120970,10th,6,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +20,Private,22966,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,12,Canada,<=50K +25,Private,34541,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,36,Canada,<=50K +28,Private,191027,Assoc-acdm,12,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,107458,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +60,Private,121832,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +37,Local-gov,233825,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,50,United-States,>50K +25,Private,73839,11th,7,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +27,Private,109165,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +50,State-gov,103063,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +41,Self-emp-not-inc,29762,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,5013,0,70,United-States,<=50K +46,Private,111979,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,<=50K +35,Private,150125,Assoc-voc,11,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +21,?,301853,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +35,?,296738,11th,7,Separated,?,Not-in-family,White,Female,6849,0,60,United-States,<=50K +40,Private,118001,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +49,Private,149337,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +29,Private,36601,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +43,Local-gov,118600,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,625,40,United-States,<=50K +39,Private,279272,Assoc-acdm,12,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,60,United-States,<=50K +35,Private,181020,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,60,United-States,<=50K +52,Private,165998,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,218136,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,Outlying-US(Guam-USVI-etc),<=50K +20,Self-emp-inc,182200,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K +46,Private,39363,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,10,?,<=50K +24,Private,140001,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,193260,Bachelors,13,Married-civ-spouse,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,30,India,<=50K +21,Private,191243,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +37,Federal-gov,207887,Bachelors,13,Divorced,Exec-managerial,Other-relative,White,Female,0,0,50,United-States,<=50K +43,Federal-gov,211450,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,184759,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,26,United-States,<=50K +47,Private,197836,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +61,Private,232308,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +21,?,189888,Assoc-acdm,12,Never-married,?,Not-in-family,White,Male,0,0,55,United-States,<=50K +35,Private,301614,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K +60,Private,146674,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +27,Private,225291,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,Local-gov,148509,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,35,India,<=50K +56,Private,136413,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,126060,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,73064,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,35,United-States,<=50K +19,Private,39026,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +28,Self-emp-not-inc,33035,12th,8,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +43,Private,193494,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +63,Local-gov,147440,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +22,?,153131,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,64671,HS-grad,9,Divorced,Handlers-cleaners,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +35,Self-emp-not-inc,225399,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,8614,0,40,United-States,>50K +20,Private,174391,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +48,Private,377757,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K +30,Local-gov,364310,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,Germany,<=50K +31,Private,110643,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +20,Private,70240,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,24,Philippines,<=50K +57,State-gov,32694,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +41,Private,95047,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,44,United-States,>50K +33,Private,264936,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +27,Private,367329,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,56026,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +22,Private,186452,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +50,Private,125417,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,>50K +40,Self-emp-not-inc,242082,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +37,Private,31023,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,51,United-States,<=50K +40,?,397346,Assoc-acdm,12,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,424079,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K +38,Self-emp-not-inc,108947,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7688,0,40,United-States,>50K +25,State-gov,261979,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Private,55507,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +22,?,291407,12th,8,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +18,Private,353358,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +41,Private,67339,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,7688,0,40,United-States,>50K +33,Private,235109,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,208180,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +67,State-gov,423561,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,145290,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,50,United-States,>50K +24,Private,403671,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Local-gov,49325,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,370494,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K +25,Private,267012,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +33,Private,191856,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Private,80445,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,379798,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +32,Local-gov,168387,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +18,Private,301948,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,34095,0,3,United-States,<=50K +36,Private,274809,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K +58,Private,233193,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,27,United-States,<=50K +34,Private,299635,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K +19,Private,236396,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,688355,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +36,Self-emp-inc,37019,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +37,Private,148015,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,15024,0,40,United-States,>50K +43,Private,122975,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,21,Trinadad&Tobago,<=50K +52,State-gov,349795,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,229846,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,40,?,<=50K +43,Private,108945,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K +22,Private,237498,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +57,Private,188872,5th-6th,3,Divorced,Transport-moving,Unmarried,White,Male,6497,0,40,United-States,<=50K +37,Private,324019,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,82488,Some-college,10,Divorced,Sales,Unmarried,Asian-Pac-Islander,Female,0,0,38,United-States,<=50K +54,Private,206964,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +27,Private,37088,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,152540,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +65,Private,143554,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +30,Private,126242,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +22,Private,127185,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,164018,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,4064,0,50,United-States,<=50K +25,Private,210184,11th,7,Separated,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +35,?,117528,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,>50K +47,Private,124973,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +23,Private,182117,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,60,United-States,<=50K +42,Private,220049,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K +39,Self-emp-not-inc,247975,Some-college,10,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K +55,Private,50164,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +24,State-gov,123160,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,10,China,<=50K +46,Self-emp-inc,219962,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,?,>50K +53,Private,79324,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +44,Private,129100,11th,7,Separated,Other-service,Unmarried,Black,Female,0,0,60,United-States,<=50K +40,Private,210275,HS-grad,9,Separated,Transport-moving,Unmarried,Black,Female,0,0,40,United-States,<=50K +48,Private,189462,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +26,Private,171114,Assoc-voc,11,Separated,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +22,Private,201799,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +35,?,200426,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,12,United-States,<=50K +20,?,24395,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,20,United-States,<=50K +43,Private,191149,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Local-gov,34173,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,United-States,<=50K +30,Private,350979,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K +41,Private,147314,HS-grad,9,Married-civ-spouse,Sales,Husband,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K +38,Private,136081,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +77,?,232894,9th,5,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,373403,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +20,Private,120601,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K +36,Private,130926,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,3674,0,40,United-States,<=50K +32,Federal-gov,72338,Assoc-voc,11,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +27,Private,129624,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +25,State-gov,328697,Some-college,10,Divorced,Protective-serv,Other-relative,White,Male,0,0,45,United-States,<=50K +40,Private,191196,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,?,191117,11th,7,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +49,Private,110243,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +17,Private,181580,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +29,Private,89030,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Private,345493,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,99999,0,55,Taiwan,>50K +24,Self-emp-not-inc,277700,Some-college,10,Separated,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K +58,?,198478,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K +29,Private,250679,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,168837,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,24,Canada,>50K +30,Private,142675,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +19,Private,299050,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +59,Private,107833,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1485,40,United-States,>50K +47,Private,121958,7th-8th,4,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +41,Private,282948,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,3137,0,40,United-States,<=50K +28,Private,176683,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,France,<=50K +46,Private,34377,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +40,Self-emp-not-inc,209833,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +66,State-gov,41506,10th,6,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +30,Local-gov,125159,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,14084,0,45,?,>50K +44,Self-emp-not-inc,147206,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,12,United-States,<=50K +58,Self-emp-not-inc,93664,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +21,Private,315065,7th-8th,4,Never-married,Other-service,Other-relative,White,Male,0,0,48,Mexico,<=50K +59,Private,381851,9th,5,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +35,Local-gov,185769,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,186272,9th,5,Married-civ-spouse,Adm-clerical,Husband,Black,Male,5178,0,40,United-States,>50K +30,Private,312667,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,343925,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,Jamaica,<=50K +26,Private,195994,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K +48,Private,398843,Some-college,10,Separated,Sales,Unmarried,Black,Female,0,0,35,United-States,<=50K +31,Private,73514,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +36,Private,288049,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +48,Private,54759,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K +30,Private,155343,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K +33,Private,401104,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,>50K +19,?,124884,9th,5,Never-married,?,Not-in-family,White,Female,0,0,25,United-States,<=50K +37,Local-gov,287306,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,Black,Female,99999,0,40,?,>50K +53,Private,113995,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +18,Private,146378,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,?,<=50K +38,Private,111499,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,50,United-States,>50K +34,Private,34374,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K +45,Private,162187,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K +33,Local-gov,147654,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +35,Private,182467,Assoc-voc,11,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,44,United-States,<=50K +22,Private,183970,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +35,Private,332588,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +45,Private,26781,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,8,United-States,<=50K +17,Private,48610,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,45,United-States,<=50K +50,Private,162632,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +38,Local-gov,91711,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +33,Private,198003,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,United-States,>50K +46,Private,179048,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,?,<=50K +25,Private,262778,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,6849,0,50,United-States,<=50K +64,Private,102470,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +62,Self-emp-not-inc,123170,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,10,United-States,<=50K +32,Private,164243,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,>50K +17,Private,262511,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +61,Private,51170,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +40,State-gov,91949,Doctorate,16,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +21,Private,123727,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K +39,Private,173175,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +35,Self-emp-not-inc,120301,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +29,Private,250967,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +27,Federal-gov,285432,Assoc-acdm,12,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +20,Private,36235,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,?,317219,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,>50K +51,Local-gov,110965,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,123283,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,15,United-States,<=50K +20,?,249087,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +31,Private,152940,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,376680,HS-grad,9,Never-married,Tech-support,Own-child,Black,Male,0,0,40,United-States,<=50K +56,Private,231232,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,Canada,<=50K +55,Self-emp-not-inc,168625,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,12,United-States,>50K +26,Private,33939,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,20,United-States,<=50K +46,Private,155659,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,45,United-States,>50K +32,Local-gov,190228,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,216178,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,587310,7th-8th,4,Never-married,Other-service,Other-relative,White,Male,0,0,35,Guatemala,<=50K +23,Private,155919,9th,5,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +59,Private,227386,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,138152,12th,8,Never-married,Craft-repair,Other-relative,Other,Male,0,0,48,Guatemala,<=50K +36,Private,167482,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,57957,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +33,Private,157747,9th,5,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,70,United-States,<=50K +60,Self-emp-not-inc,88570,Assoc-voc,11,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,15,Germany,>50K +40,Private,273308,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,48,Mexico,<=50K +48,Private,216292,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,43,United-States,<=50K +27,Self-emp-not-inc,131298,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +19,Private,386378,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +38,Private,179668,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +26,Private,210812,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,43,United-States,<=50K +45,Federal-gov,311671,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,3908,0,40,United-States,<=50K +20,Private,215247,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +32,Federal-gov,125856,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +22,Private,74631,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,13,United-States,<=50K +22,Private,24008,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,State-gov,354591,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,114,0,38,United-States,<=50K +34,Private,155343,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,50,United-States,>50K +46,Private,308334,1st-4th,2,Widowed,Other-service,Unmarried,Other,Female,0,0,30,Mexico,<=50K +39,Private,245361,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,25,United-States,<=50K +79,Self-emp-not-inc,158319,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K +60,?,204486,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,>50K +24,Private,314823,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,Dominican-Republic,<=50K +31,Private,211334,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2407,0,65,United-States,<=50K +37,Self-emp-not-inc,73199,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,3137,0,77,Vietnam,<=50K +23,Private,126550,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +31,Private,260782,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1579,45,El-Salvador,<=50K +29,Private,114224,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +22,State-gov,64292,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,43,United-States,<=50K +69,?,628797,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +55,Local-gov,219775,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K +43,Private,212894,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +23,Private,260019,7th-8th,4,Never-married,Farming-fishing,Unmarried,Other,Male,0,0,36,Mexico,<=50K +29,Private,228075,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,35,Mexico,<=50K +22,Private,239806,Assoc-voc,11,Never-married,Other-service,Other-relative,White,Female,0,0,40,Mexico,<=50K +22,Private,324637,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K +25,Private,163620,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,84,United-States,>50K +29,Private,194200,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,45,United-States,<=50K +25,State-gov,129200,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +33,Federal-gov,207172,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,135312,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +31,Private,100734,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,28,United-States,<=50K +30,Local-gov,226443,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,45,United-States,>50K +55,Private,110871,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,192704,12th,8,Never-married,Exec-managerial,Not-in-family,White,Male,4650,0,50,United-States,<=50K +47,?,224108,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,78870,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,8614,0,40,United-States,>50K +42,Private,107762,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +51,Private,183611,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Male,0,0,55,Germany,<=50K +62,Local-gov,249078,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +65,Self-emp-inc,208452,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K +23,Private,302195,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +60,?,199947,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K +47,Private,379118,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,60,United-States,>50K +50,Self-emp-inc,174855,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +70,?,173736,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K +32,Self-emp-not-inc,39369,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Federal-gov,196348,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,340917,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,14344,0,40,United-States,>50K +76,Private,97077,10th,6,Widowed,Sales,Unmarried,Black,Female,0,0,12,United-States,<=50K +54,Private,200098,Bachelors,13,Divorced,Sales,Not-in-family,Black,Female,0,0,60,United-States,<=50K +32,Federal-gov,127651,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +31,Private,315128,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,52,United-States,<=50K +31,Federal-gov,206823,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,50,United-States,>50K +65,Self-emp-not-inc,316093,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,1668,40,United-States,<=50K +30,Private,112115,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,Ireland,>50K +63,?,203821,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,250051,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K +40,Federal-gov,298635,Masters,14,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,1902,40,Philippines,>50K +26,State-gov,109193,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,130849,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,8,United-States,<=50K +34,Local-gov,43959,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +66,Local-gov,222810,Some-college,10,Divorced,Other-service,Other-relative,White,Female,7896,0,40,?,>50K +44,Self-emp-not-inc,27242,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K +30,Private,53158,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,206520,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,164190,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +22,Private,287988,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K +28,?,200819,7th-8th,4,Divorced,?,Own-child,White,Male,0,0,84,United-States,<=50K +23,Private,83891,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +49,Private,65087,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +39,Self-emp-not-inc,363418,Bachelors,13,Separated,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +67,?,182378,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,9386,0,60,United-States,>50K +19,Private,278870,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K +30,Private,174789,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,50,United-States,>50K +25,Private,228608,Some-college,10,Never-married,Craft-repair,Other-relative,Asian-Pac-Islander,Female,0,0,40,Cambodia,<=50K +24,Private,184400,HS-grad,9,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,30,?,<=50K +46,Private,263568,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,117381,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +41,Federal-gov,83411,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +40,Self-emp-not-inc,49156,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K +44,Private,421449,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,238944,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,188982,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,20,United-States,>50K +48,Private,175925,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +34,Private,164190,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,232914,Assoc-voc,11,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +46,Self-emp-inc,120121,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +36,Local-gov,180805,HS-grad,9,Never-married,Transport-moving,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +59,Local-gov,161944,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K +29,Private,319149,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Mexico,<=50K +50,?,22428,Masters,14,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,290528,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,123984,Assoc-acdm,12,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Philippines,<=50K +48,Private,34186,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +51,Federal-gov,282680,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,1564,70,United-States,>50K +36,Private,183892,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,8614,0,45,United-States,>50K +42,Local-gov,195124,11th,7,Divorced,Sales,Unmarried,White,Male,7430,0,50,Puerto-Rico,>50K +49,State-gov,55938,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +33,Private,209900,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,20,United-States,<=50K +40,Private,179717,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,1564,60,United-States,>50K +26,Private,150361,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +69,?,164102,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,>50K +59,Private,252714,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,Italy,<=50K +30,Private,205204,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +31,Local-gov,168906,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K +30,Private,112115,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +27,Private,116531,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,?,202994,Some-college,10,Never-married,?,Own-child,White,Female,0,0,16,United-States,<=50K +56,Private,191917,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,4101,0,40,United-States,<=50K +24,Private,341294,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,216734,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K +51,Private,182187,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,35,United-States,<=50K +34,Private,424988,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +47,Private,379118,HS-grad,9,Divorced,Other-service,Unmarried,Black,Male,0,0,9,United-States,<=50K +47,Private,168232,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,44,United-States,>50K +20,Private,147171,Some-college,10,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +34,Self-emp-inc,207668,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,54,?,>50K +31,Private,193650,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,200187,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K +52,Private,188644,5th-6th,3,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K +56,Private,398067,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Private,29658,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +26,Private,154966,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +81,Private,364099,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +28,?,291374,10th,6,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +57,Federal-gov,97837,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,>50K +34,Private,117983,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,?,345497,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,64167,Assoc-voc,11,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +20,Private,315877,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,2001,40,United-States,<=50K +68,Federal-gov,232151,Some-college,10,Divorced,Adm-clerical,Other-relative,Black,Female,2346,0,40,United-States,<=50K +60,Private,225526,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K +37,Federal-gov,289653,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,179462,7th-8th,4,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +36,Federal-gov,67317,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,77764,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,253438,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +31,Private,150309,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Female,0,0,70,United-States,<=50K +47,Self-emp-not-inc,83064,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +60,Self-emp-not-inc,376973,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K +75,Private,311184,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,24,United-States,<=50K +43,Local-gov,159449,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,168288,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,74883,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,0,1092,40,Philippines,<=50K +20,Private,275190,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +32,Private,189838,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +57,Self-emp-inc,101338,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K +43,Private,331894,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +18,Self-emp-not-inc,40293,HS-grad,9,Never-married,Farming-fishing,Other-relative,White,Male,0,0,40,United-States,<=50K +41,Local-gov,88904,Bachelors,13,Separated,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +48,Private,145041,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Dominican-Republic,<=50K +35,Private,46385,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,90,United-States,>50K +41,State-gov,363591,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,183327,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Female,0,1594,20,United-States,<=50K +32,State-gov,182556,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,45,United-States,>50K +33,Private,267859,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,El-Salvador,<=50K +58,Private,190747,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,162869,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,65,United-States,<=50K +33,Private,141229,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +42,Self-emp-not-inc,174216,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +25,Private,366416,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +39,Private,172538,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +35,Private,193026,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +50,Private,184424,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1902,38,United-States,>50K +49,Local-gov,337768,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +25,Local-gov,179059,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +47,Federal-gov,99549,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +46,Private,72619,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +42,State-gov,55764,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +37,Private,30267,11th,7,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,>50K +25,Private,308144,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +29,Private,206351,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K +26,Private,282304,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +26,?,176077,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Self-emp-inc,142719,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +34,Private,114973,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K +33,Federal-gov,159548,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +43,Private,91209,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +28,Private,196564,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +51,Self-emp-not-inc,149220,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,75,United-States,<=50K +21,Private,169699,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +23,Private,218215,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +30,Private,156718,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,55720,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +38,Self-emp-inc,257250,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +20,Private,194630,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,398931,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1485,50,United-States,>50K +37,Self-emp-not-inc,362062,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K +44,Local-gov,101593,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,1876,42,United-States,<=50K +33,Private,196266,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +45,Local-gov,197332,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,97842,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,86837,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,1902,40,United-States,>50K +17,Private,57324,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +43,Private,116852,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,36,Portugal,>50K +45,Private,154430,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,10520,0,50,United-States,>50K +37,Private,38468,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Local-gov,188808,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +55,Local-gov,177163,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,914,0,50,United-States,<=50K +41,Private,187322,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +23,Private,107578,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,2174,0,40,United-States,<=50K +38,Private,168680,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +23,Private,256755,Bachelors,13,Never-married,Handlers-cleaners,Other-relative,White,Female,0,0,40,Cuba,<=50K +35,Private,360799,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +18,Private,188476,11th,7,Never-married,Exec-managerial,Own-child,White,Male,0,0,20,United-States,<=50K +47,Private,30457,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,252752,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,8,United-States,<=50K +41,Self-emp-not-inc,443508,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,244408,Some-college,10,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,24,Vietnam,<=50K +41,Private,178983,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +26,Private,143068,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,2407,0,50,United-States,<=50K +30,Local-gov,247328,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,201732,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +35,Private,246829,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +28,?,290267,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,18,United-States,<=50K +29,Private,119170,Some-college,10,Separated,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +21,Private,207923,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +48,State-gov,170142,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +44,Self-emp-not-inc,187164,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,60,United-States,<=50K +34,Local-gov,303867,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,291429,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +32,Private,213179,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,>50K +31,State-gov,111843,Assoc-acdm,12,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +25,Private,297154,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,2407,0,40,United-States,<=50K +47,Federal-gov,68493,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K +46,Federal-gov,340718,11th,7,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,194059,12th,8,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,47296,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1740,20,United-States,<=50K +28,State-gov,286310,HS-grad,9,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +38,Private,207202,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K +33,Self-emp-inc,132601,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +17,?,139183,10th,6,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K +41,Private,160785,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +46,Private,117849,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K +38,Local-gov,225605,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,<=50K +24,Private,190290,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +49,Private,164799,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +60,Federal-gov,21876,Some-college,10,Divorced,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +44,Private,160785,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +63,Self-emp-inc,272425,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +40,Private,168538,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +45,Self-emp-inc,204205,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +49,Private,142287,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,50,United-States,>50K +36,Private,169926,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +65,Local-gov,205024,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,8,United-States,<=50K +41,Private,374764,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Male,0,0,20,United-States,<=50K +25,Private,108779,Masters,14,Separated,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +20,?,293136,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +60,Private,227332,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,Local-gov,246308,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,Puerto-Rico,<=50K +28,Private,51331,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,16,United-States,>50K +31,Private,153078,Assoc-acdm,12,Never-married,Craft-repair,Own-child,Other,Male,0,0,50,United-States,<=50K +47,Private,169180,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +45,Self-emp-not-inc,193451,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +51,Private,305147,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,138892,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,402397,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,60,United-States,>50K +34,Private,223267,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Male,0,0,50,United-States,<=50K +19,Private,29250,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K +51,?,203953,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +46,State-gov,29696,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,315640,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1977,40,China,>50K +37,Private,632613,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,Mexico,<=50K +56,Private,282023,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +29,Private,77760,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +46,Self-emp-not-inc,148599,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +55,Private,414994,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,339863,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,8614,0,48,United-States,>50K +34,Private,499249,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Guatemala,<=50K +45,?,144354,9th,5,Separated,?,Own-child,Black,Male,0,0,40,United-States,<=50K +41,Private,252058,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,?,99543,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +34,Private,117963,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +27,Private,194652,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +29,Private,299705,Some-college,10,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,37,United-States,<=50K +19,Federal-gov,27433,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +47,Local-gov,39986,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +43,Self-emp-inc,135342,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +52,Private,270142,Assoc-voc,11,Separated,Exec-managerial,Unmarried,Black,Female,0,0,60,United-States,<=50K +33,Self-emp-not-inc,118267,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +29,Private,266043,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,35633,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,74568,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,214816,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +43,Private,222971,5th-6th,3,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,Mexico,<=50K +31,Private,259425,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +47,Self-emp-inc,212120,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +26,Private,245880,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,<=50K +58,Local-gov,54947,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K +47,Self-emp-inc,79627,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,27828,0,50,United-States,>50K +55,Private,151474,Bachelors,13,Never-married,Tech-support,Other-relative,White,Female,0,1590,38,United-States,<=50K +26,Private,132661,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,5013,0,40,United-States,<=50K +28,Private,161674,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,62346,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +40,Private,227236,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +19,Private,283033,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +63,Self-emp-not-inc,298249,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,10605,0,40,United-States,>50K +42,Private,251229,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +76,Private,199949,9th,5,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,13,United-States,<=50K +23,State-gov,305498,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Self-emp-not-inc,203836,5th-6th,3,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,State-gov,79440,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,30,Japan,<=50K +48,Local-gov,142719,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +56,Private,119859,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,>50K +32,Private,141410,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +44,Local-gov,202872,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,25,United-States,<=50K +27,Private,198813,HS-grad,9,Divorced,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +33,Federal-gov,129707,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +22,Private,445758,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K +18,?,30246,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +44,Private,173981,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,108506,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K +34,Private,134886,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Federal-gov,181970,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1672,40,United-States,<=50K +57,Self-emp-inc,282913,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Cuba,<=50K +59,Local-gov,196013,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +33,Federal-gov,348491,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,>50K +52,Private,416164,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Other,Male,0,0,49,Mexico,<=50K +17,Private,121037,12th,8,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +29,Private,103111,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,Canada,<=50K +63,Self-emp-not-inc,147589,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K +20,Private,24008,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,24,United-States,<=50K +42,Self-emp-inc,123838,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +50,Self-emp-not-inc,175456,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +55,Private,84774,HS-grad,9,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,30,United-States,<=50K +27,Private,194590,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,25,United-States,<=50K +28,Private,134566,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +55,Private,211678,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +44,Federal-gov,44822,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +53,State-gov,144586,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,119156,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,371987,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,State-gov,144125,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Private,31905,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K +48,Self-emp-not-inc,121124,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +46,Private,58126,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,318518,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,296509,7th-8th,4,Separated,Farming-fishing,Not-in-family,White,Male,0,0,45,Mexico,<=50K +32,Private,473133,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +52,Private,155434,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K +52,Private,99185,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,50,United-States,>50K +39,Private,56648,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,47,United-States,<=50K +57,Local-gov,118481,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +21,Private,321666,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,594,0,40,United-States,<=50K +22,State-gov,119838,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K +26,Private,330695,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +26,State-gov,58039,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,313022,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +42,Private,178134,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +40,Private,165309,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,43,United-States,<=50K +22,Private,216181,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K +62,Private,178745,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +44,Private,111067,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,?,163788,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +33,Self-emp-not-inc,295591,1st-4th,2,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +45,Private,123075,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +18,Private,78045,11th,7,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +32,Local-gov,255004,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,254221,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,>50K +20,Private,174714,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,15,United-States,<=50K +68,Self-emp-not-inc,450580,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K +61,Private,128230,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +48,Private,192894,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +45,Private,325390,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,20333,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,7688,0,40,United-States,>50K +32,Federal-gov,128714,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,32,United-States,<=50K +35,Private,170797,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,269186,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,127671,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,211840,Some-college,10,Separated,Sales,Unmarried,Black,Female,0,0,16,United-States,<=50K +37,Private,163392,HS-grad,9,Never-married,Transport-moving,Other-relative,Asian-Pac-Islander,Male,0,0,40,?,<=50K +40,Private,201495,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,45,United-States,<=50K +25,Private,251854,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,Jamaica,<=50K +41,Private,279297,HS-grad,9,Never-married,Sales,Not-in-family,Black,Female,0,0,60,United-States,<=50K +52,Self-emp-not-inc,195462,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,98,United-States,>50K +33,Private,170769,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,142443,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +25,Self-emp-not-inc,182809,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +53,Private,121441,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +44,Private,275094,1st-4th,2,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K +35,Private,170263,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,172571,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,58,Poland,<=50K +34,Private,178615,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,279524,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,State-gov,165201,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,45,United-States,<=50K +65,Local-gov,323006,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K +29,Private,235168,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +39,Self-emp-inc,114844,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,65,United-States,>50K +46,Local-gov,216414,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +37,Private,34378,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,2580,0,60,United-States,<=50K +47,State-gov,80914,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,47,United-States,>50K +62,Private,73292,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,212165,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +90,Private,52386,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,35,United-States,<=50K +33,Private,205649,Assoc-acdm,12,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,20,United-States,<=50K +57,Private,109638,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,45,United-States,<=50K +25,Private,200408,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +44,Self-emp-inc,187720,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +52,Private,236180,Bachelors,13,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K +21,Private,118693,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,363130,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,18,United-States,<=50K +39,Private,225544,Masters,14,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Poland,<=50K +59,Federal-gov,243612,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Self-emp-not-inc,160786,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +49,Private,234320,7th-8th,4,Never-married,Prof-specialty,Other-relative,Black,Male,0,0,45,United-States,<=50K +34,Private,314646,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,124971,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,209184,Bachelors,13,Married-civ-spouse,Sales,Husband,Other,Male,0,0,40,Puerto-Rico,<=50K +39,State-gov,121838,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +46,Private,265275,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +50,Private,71417,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K +34,Private,45522,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Local-gov,250135,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,55,United-States,<=50K +18,Private,120283,12th,8,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K +20,Private,216972,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +20,Private,116791,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K +55,State-gov,26290,Assoc-voc,11,Widowed,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,0,0,38,United-States,<=50K +22,Private,216134,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K +60,Self-emp-not-inc,143932,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,217120,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +47,State-gov,223944,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K +23,Private,185452,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,Canada,<=50K +57,Local-gov,44273,HS-grad,9,Widowed,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,Private,178983,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,219288,7th-8th,4,Widowed,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +25,Private,349190,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +49,Self-emp-inc,158685,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,2377,40,United-States,>50K +41,Federal-gov,57924,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +40,State-gov,270324,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,30,United-States,<=50K +38,Private,33001,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +58,Private,204021,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,Canada,<=50K +26,Private,192506,Bachelors,13,Never-married,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K +57,Private,372967,10th,6,Divorced,Adm-clerical,Other-relative,White,Female,0,0,70,Germany,<=50K +28,Private,273929,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1628,60,United-States,<=50K +42,Private,195821,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,56179,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,2174,0,55,United-States,<=50K +17,?,127003,9th,5,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +39,Self-emp-not-inc,124090,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,199600,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +42,Private,255847,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,48,United-States,>50K +51,Self-emp-not-inc,218311,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K +27,Private,167336,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,39,United-States,<=50K +41,Private,59938,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,43,United-States,<=50K +28,Private,263728,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,278230,Some-college,10,Divorced,Farming-fishing,Unmarried,White,Female,10520,0,30,United-States,>50K +73,?,180603,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,8,United-States,<=50K +49,Private,43910,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K +47,Private,190139,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +27,Private,109001,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,49,United-States,<=50K +42,Local-gov,159931,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +32,Private,194987,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +32,Local-gov,87310,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,41,United-States,<=50K +27,Private,133937,Masters,14,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,207064,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +22,Private,36011,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +41,Federal-gov,168294,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,5178,0,40,United-States,>50K +49,Local-gov,194895,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,7298,0,40,United-States,>50K +58,Self-emp-not-inc,49884,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +41,Self-emp-not-inc,27305,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,7688,0,40,United-States,>50K +26,Private,229977,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +21,Private,64520,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K +32,?,134886,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,2,United-States,>50K +37,Private,305379,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +23,Private,202284,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +42,Self-emp-not-inc,99185,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +25,Private,159662,HS-grad,9,Married-civ-spouse,Sales,Own-child,White,Male,0,0,26,United-States,>50K +67,Private,197865,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Local-gov,175149,HS-grad,9,Divorced,Transport-moving,Not-in-family,Black,Female,0,0,38,United-States,<=50K +49,Local-gov,349633,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +36,Private,135293,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,1506,0,45,?,<=50K +18,Private,242893,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +25,Private,218667,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +43,State-gov,144811,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +38,Private,146091,Doctorate,16,Married-civ-spouse,Exec-managerial,Wife,White,Female,99999,0,36,United-States,>50K +21,Private,206861,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,?,<=50K +65,Self-emp-not-inc,226215,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K +66,Private,114447,Assoc-voc,11,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +33,Private,124187,11th,7,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,60,United-States,<=50K +51,Private,147954,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,3411,0,38,United-States,<=50K +27,Self-emp-inc,64379,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K +17,Private,156501,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +32,Private,207668,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K +61,?,161279,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,36,United-States,<=50K +38,Private,225707,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Cuba,>50K +43,Local-gov,115603,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +40,State-gov,506329,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K +63,Private,275034,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1740,35,United-States,<=50K +76,?,172637,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,>50K +42,Private,56483,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Federal-gov,144778,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +76,Self-emp-not-inc,33213,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,?,>50K +41,Local-gov,297248,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,45,United-States,>50K +17,Private,137042,10th,6,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +30,Self-emp-not-inc,33308,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,158420,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,Iran,<=50K +22,Private,41763,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K +53,?,220640,Bachelors,13,Divorced,?,Other-relative,Other,Female,0,0,20,United-States,<=50K +28,Private,149734,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,52,United-States,<=50K +25,?,262245,Assoc-voc,11,Never-married,?,Own-child,White,Female,3418,0,40,United-States,<=50K +24,Private,349691,Some-college,10,Never-married,Sales,Other-relative,Black,Female,0,0,40,United-States,<=50K +47,Private,185385,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +34,Self-emp-not-inc,174463,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +26,Private,236068,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,20,United-States,<=50K +63,?,445168,Bachelors,13,Widowed,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,56,United-States,<=50K +25,Private,91334,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,<=50K +28,Private,33895,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +36,Private,214816,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,229773,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Self-emp-inc,166386,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,35,Taiwan,<=50K +44,Private,266135,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +18,Private,300379,12th,8,Never-married,Adm-clerical,Own-child,White,Male,0,0,12,United-States,<=50K +54,Federal-gov,392502,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +61,Private,73809,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Private,193720,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +43,Private,316183,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,162944,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Local-gov,186888,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,>50K +27,?,330132,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,25,United-States,<=50K +24,Private,192017,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,United-States,<=50K +20,State-gov,161978,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +52,Private,202930,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +57,Local-gov,323309,7th-8th,4,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Self-emp-inc,197332,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +42,Self-emp-inc,204033,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,?,<=50K +22,Private,271274,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,174242,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +21,Private,209483,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +39,Federal-gov,99146,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,60,United-States,>50K +52,Self-emp-not-inc,102346,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K +25,Private,181666,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +50,Private,207367,Some-college,10,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,40,Cuba,<=50K +35,State-gov,82622,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,<=50K +50,Private,202296,Assoc-voc,11,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +58,Private,142182,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K +48,Federal-gov,94342,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +30,Private,41493,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,Canada,<=50K +18,Private,181712,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K +29,Self-emp-not-inc,164607,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +52,Self-emp-not-inc,41496,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +63,Private,143098,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K +36,Local-gov,196529,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +24,Private,157332,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,42,United-States,<=50K +30,Local-gov,154935,Assoc-acdm,12,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K +23,Private,223231,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Mexico,<=50K +35,?,253860,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,20,United-States,<=50K +21,Private,362589,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +28,Private,94880,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,43,Mexico,<=50K +20,Private,309580,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,130389,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,Scotland,<=50K +21,Private,349365,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +27,Private,376936,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,179557,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,105577,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +51,Private,224207,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +27,Federal-gov,47907,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Self-emp-not-inc,191283,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +57,Private,20953,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K +22,State-gov,186569,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,12,United-States,<=50K +59,Private,43221,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +38,Private,161141,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,203003,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K +90,Private,141758,9th,5,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,113322,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,343847,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,>50K +45,Private,214068,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +44,Private,116632,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +23,Private,240160,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,516337,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +23,Self-emp-inc,284651,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,43,United-States,<=50K +39,State-gov,141420,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,42750,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,55,United-States,<=50K +54,Private,165278,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +40,Private,167265,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,43,United-States,<=50K +44,Private,139907,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K +31,Self-emp-inc,236415,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K +25,Private,312966,9th,5,Separated,Handlers-cleaners,Other-relative,White,Male,0,0,40,El-Salvador,<=50K +33,Private,118941,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,32,United-States,>50K +32,Private,198068,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +36,Private,373952,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,236111,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,55,United-States,>50K +80,Private,157778,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,10,United-States,<=50K +21,Private,143604,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K +35,Self-emp-not-inc,319831,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +77,?,132728,Masters,14,Divorced,?,Not-in-family,White,Male,0,0,45,United-States,<=50K +30,Private,137606,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5013,0,40,United-States,<=50K +35,?,61343,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,268234,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,100135,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1740,25,United-States,<=50K +53,Self-emp-not-inc,34973,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +41,Private,323790,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,55,United-States,<=50K +57,Private,319733,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Poland,>50K +21,?,180339,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K +19,Private,125591,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +28,Private,60772,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,45,United-States,<=50K +42,Federal-gov,74680,Masters,14,Divorced,Adm-clerical,Not-in-family,White,Male,0,2001,60,United-States,<=50K +29,Self-emp-not-inc,141185,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K +38,?,204668,Assoc-voc,11,Separated,?,Unmarried,White,Female,0,0,25,United-States,<=50K +26,Private,273792,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +41,Private,70037,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,3004,60,?,>50K +40,Private,343068,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,177907,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +28,Private,144063,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +25,Self-emp-not-inc,257574,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,20,United-States,<=50K +42,Self-emp-not-inc,67065,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +32,Private,183356,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,152940,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +37,Private,227128,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Local-gov,45607,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,<=50K +49,Private,155489,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,?,230704,HS-grad,9,Never-married,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K +24,?,267955,9th,5,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +19,Private,165115,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,49923,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,272240,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,255476,7th-8th,4,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,Mexico,<=50K +59,Private,194290,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,United-States,<=50K +52,Private,145548,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +27,Private,175262,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +45,Local-gov,37306,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +58,Private,137547,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K +53,Private,276515,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,Cuba,<=50K +23,Private,174626,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +35,Private,215310,11th,7,Divorced,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +49,Private,332355,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,204057,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,391591,12th,8,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,169092,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,>50K +28,Private,230743,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,190963,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K +74,?,204840,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,56,Mexico,<=50K +19,Private,169853,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,24,United-States,<=50K +28,Private,212091,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2580,0,40,United-States,<=50K +31,Private,202822,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +61,?,226989,Some-college,10,Married-spouse-absent,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,140011,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,53,United-States,<=50K +20,?,432376,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,Germany,<=50K +35,Private,90273,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,>50K +23,Private,224424,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,168943,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,>50K +19,Private,571853,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +30,Private,156464,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +26,Private,108542,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +34,Local-gov,194325,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +49,Private,114797,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +35,Private,40135,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,2042,40,United-States,<=50K +38,Private,204756,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,228190,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,20,United-States,<=50K +33,Private,163392,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,48,United-States,>50K +54,Private,138845,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Local-gov,169853,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +18,Never-worked,206359,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +60,Private,224097,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Self-emp-not-inc,160786,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,190044,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +49,Local-gov,145290,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,120268,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,70,United-States,<=50K +17,Private,327434,10th,6,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +41,Self-emp-inc,218302,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +30,Private,1184622,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,35,United-States,<=50K +90,Local-gov,227796,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,60,United-States,>50K +25,Private,206343,HS-grad,9,Never-married,Protective-serv,Other-relative,White,Male,0,0,40,United-States,<=50K +27,Private,36851,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +29,Private,148550,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,157079,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,?,>50K +31,Federal-gov,142470,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +43,Private,86750,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,99,United-States,<=50K +63,Private,361631,Masters,14,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +46,Private,163229,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,179594,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,254773,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,50,United-States,>50K +26,Private,58065,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +26,Private,205428,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +20,?,41183,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +19,?,308064,HS-grad,9,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +61,Private,173924,9th,5,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Puerto-Rico,>50K +23,State-gov,142547,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,119704,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +35,Private,275364,Bachelors,13,Divorced,Tech-support,Unmarried,White,Male,7430,0,40,Germany,>50K +42,Self-emp-not-inc,207392,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,12,United-States,<=50K +31,Private,147215,12th,8,Divorced,Other-service,Unmarried,White,Female,0,0,21,United-States,<=50K +31,Private,101562,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,55,United-States,<=50K +63,Private,216413,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +29,State-gov,188986,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,1590,64,United-States,<=50K +43,State-gov,52849,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,304710,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,10,Vietnam,<=50K +17,Private,265657,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +23,Self-emp-not-inc,258298,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,2231,40,United-States,>50K +35,Private,360814,9th,5,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +32,Private,53260,HS-grad,9,Divorced,Other-service,Unmarried,Other,Female,0,0,28,United-States,<=50K +50,Self-emp-inc,127315,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +25,Private,233777,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,?,<=50K +26,Local-gov,197530,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,340940,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,88432,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +57,Private,183810,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +90,Private,51744,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,50,United-States,>50K +35,Private,175614,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K +31,Self-emp-not-inc,235237,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,>50K +60,Private,227266,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,33,United-States,<=50K +21,Private,146499,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,1579,40,United-States,<=50K +71,Local-gov,337064,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,141003,Assoc-voc,11,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +50,Local-gov,117791,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,172846,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +23,Private,73514,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +74,Private,211075,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +67,Private,197816,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1844,70,United-States,<=50K +59,Private,43221,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,>50K +28,Private,183780,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1740,40,United-States,<=50K +45,Private,26781,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +63,Self-emp-not-inc,271550,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K +39,Private,250157,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,63,United-States,<=50K +33,State-gov,913447,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +32,Private,153078,Bachelors,13,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,South,<=50K +34,Private,181091,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K +39,Private,231491,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +29,State-gov,95423,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,36,United-States,<=50K +22,Private,234663,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,283602,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,13550,0,43,United-States,>50K +46,Private,328669,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K +51,Private,143741,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K +44,Private,83508,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,2354,0,99,United-States,<=50K +56,State-gov,81954,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,261375,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +52,Private,310045,9th,5,Married-spouse-absent,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Female,0,0,30,China,<=50K +39,Private,316211,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +45,Federal-gov,88564,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +37,Private,61299,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +33,Private,113364,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +35,?,476573,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,4,United-States,<=50K +46,Private,267107,5th-6th,3,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,45,Italy,<=50K +35,Private,48123,12th,8,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,50,United-States,<=50K +33,Private,214635,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,<=50K +48,Private,115585,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,194141,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,50,United-States,<=50K +18,?,23233,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,89991,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K +35,Private,101709,HS-grad,9,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,60,United-States,<=50K +19,Private,237455,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,25,United-States,<=50K +21,Private,206492,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,?,<=50K +56,Private,28729,11th,7,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,153475,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,El-Salvador,<=50K +45,Private,275517,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,128002,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,45,United-States,<=50K +44,Private,175485,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,12,United-States,<=50K +55,Private,189664,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +34,Private,209808,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +33,Private,176992,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +36,Private,154669,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,55,United-States,<=50K +25,Private,191271,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +28,Private,375482,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,102953,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,55,United-States,>50K +53,Private,169182,10th,6,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Columbia,<=50K +47,Private,184005,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,3325,0,45,United-States,<=50K +49,Self-emp-inc,30751,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +22,Private,145477,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +31,Private,91964,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K +44,Self-emp-inc,49249,Some-college,10,Divorced,Other-service,Unmarried,White,Male,0,0,80,United-States,<=50K +19,Private,218956,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,241306,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,?,251572,HS-grad,9,Widowed,?,Not-in-family,White,Male,0,0,35,Poland,<=50K +23,Private,319842,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +44,Private,332401,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,65,United-States,>50K +54,Local-gov,182388,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K +23,Private,205939,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K +21,Private,203914,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +19,State-gov,156294,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,25,United-States,<=50K +51,Private,254211,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,>50K +41,Private,151504,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +61,Private,85548,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,15024,0,18,United-States,>50K +19,Self-emp-not-inc,30800,10th,6,Married-spouse-absent,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +22,Private,131230,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,61850,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Private,227800,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,32,United-States,<=50K +35,Private,133454,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K +38,Private,104094,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,105422,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +56,Private,142182,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +41,Private,336643,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,80,United-States,<=50K +62,Self-emp-inc,200577,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +27,Private,208703,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,Japan,<=50K +55,?,193895,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,England,<=50K +25,Private,272428,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,4416,0,42,United-States,<=50K +33,Private,56701,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,75,United-States,>50K +26,Private,288592,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,266439,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K +53,Federal-gov,276868,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +43,Private,131435,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Private,175127,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K +25,Private,277444,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +60,Private,63296,Masters,14,Divorced,Prof-specialty,Other-relative,Black,Male,0,0,40,United-States,<=50K +28,Private,96337,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,221955,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,Mexico,<=50K +40,Private,197923,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Female,2977,0,40,United-States,<=50K +29,Private,632593,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +20,Private,205970,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,25,United-States,<=50K +25,Private,139730,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,80,United-States,>50K +18,Private,201901,11th,7,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K +32,State-gov,230224,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K +27,Private,113464,1st-4th,2,Never-married,Other-service,Own-child,Other,Male,0,0,35,Dominican-Republic,<=50K +48,Private,94461,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,16,United-States,<=50K +20,Private,271379,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +55,Private,231738,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,England,<=50K +33,Local-gov,198183,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +21,State-gov,140764,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K +43,Self-emp-not-inc,183479,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +35,Private,165767,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +39,Local-gov,139364,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +19,Private,227491,HS-grad,9,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +25,Private,222254,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +44,Private,193494,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,72,United-States,>50K +27,Private,29261,Assoc-acdm,12,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +39,Private,174368,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +69,Private,108196,10th,6,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +34,Private,110622,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +20,?,201680,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K +37,Private,130277,5th-6th,3,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Local-gov,98130,Bachelors,13,Divorced,Prof-specialty,Own-child,White,Female,0,0,39,United-States,<=50K +62,?,235521,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,48,United-States,<=50K +34,State-gov,595000,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,>50K +31,Self-emp-not-inc,349148,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +42,State-gov,117583,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,8614,0,60,United-States,>50K +26,Private,164583,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +39,Private,340091,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,75,United-States,<=50K +25,Private,49092,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +54,Local-gov,186884,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,30,United-States,<=50K +44,State-gov,167265,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +34,State-gov,34104,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,38,United-States,>50K +21,Self-emp-inc,265116,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,128378,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,55,?,<=50K +33,Private,158416,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Self-emp-inc,169878,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +44,Private,296728,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +33,Local-gov,342458,Assoc-acdm,12,Divorced,Protective-serv,Not-in-family,White,Male,0,0,56,United-States,<=50K +21,Local-gov,38771,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,269300,Bachelors,13,Never-married,Other-service,Not-in-family,Black,Female,0,0,60,United-States,<=50K +43,Private,111483,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K +57,?,199114,10th,6,Separated,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +51,Local-gov,33863,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +29,Private,132874,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Local-gov,277024,HS-grad,9,Separated,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K +35,Private,112160,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,703067,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +58,Private,127264,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +57,Self-emp-inc,257200,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +19,Private,57206,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +37,Private,201319,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,114079,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K +45,Private,230979,Some-college,10,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,292472,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,>50K +64,?,286732,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Local-gov,134444,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,<=50K +30,Private,172403,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +46,Private,191357,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +18,?,279288,10th,6,Never-married,?,Other-relative,White,Female,0,0,30,United-States,<=50K +60,Private,389254,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +30,Private,303867,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,44,United-States,<=50K +47,Private,164113,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,7688,0,40,United-States,>50K +39,Private,111499,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,266084,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,45,United-States,>50K +27,Private,61580,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +44,Private,231348,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,164748,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,205337,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +58,Self-emp-not-inc,54566,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +45,Private,34419,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,30,United-States,<=50K +59,Private,116442,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +29,Private,290740,Assoc-acdm,12,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,50,United-States,<=50K +27,Private,255582,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,112517,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,>50K +44,Private,169397,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +33,Private,172664,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K +27,Private,329005,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,123253,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +55,Private,81865,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +32,Self-emp-not-inc,173314,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,60,United-States,<=50K +31,Private,34572,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +57,Self-emp-inc,159028,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K +30,Private,149184,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +78,?,363134,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,1,United-States,<=50K +28,Private,308709,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K +30,Self-emp-not-inc,257295,Some-college,10,Never-married,Sales,Other-relative,Asian-Pac-Islander,Male,0,2258,40,South,<=50K +29,Private,168479,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +66,Private,142501,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,3,United-States,<=50K +60,Private,338345,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +31,Private,177675,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,262617,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,2597,0,40,United-States,<=50K +24,Private,200997,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K +29,Private,176683,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +44,Private,376072,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +34,Local-gov,177675,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +59,Private,348430,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,43,United-States,>50K +23,Private,320451,Bachelors,13,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,24,United-States,<=50K +23,Private,38151,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,40,Philippines,<=50K +55,Local-gov,123382,Assoc-voc,11,Separated,Prof-specialty,Unmarried,Black,Female,0,0,35,United-States,<=50K +39,Self-emp-inc,151029,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +39,Private,484475,11th,7,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +57,Private,329792,7th-8th,4,Divorced,Transport-moving,Unmarried,White,Male,0,0,75,United-States,<=50K +35,Private,148903,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Local-gov,301614,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,>50K +47,Private,176319,HS-grad,9,Married-civ-spouse,Sales,Own-child,White,Female,0,0,38,United-States,>50K +53,State-gov,53197,Doctorate,16,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +23,Private,291407,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,25,United-States,<=50K +35,Private,204527,Masters,14,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K +44,Private,476391,Some-college,10,Divorced,Farming-fishing,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,224964,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +26,Private,306225,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Poland,<=50K +23,Private,292023,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +32,Private,94041,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,Ireland,<=50K +49,Self-emp-inc,187563,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +36,Private,176101,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,2174,0,60,United-States,<=50K +36,Private,749105,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K +41,?,230020,5th-6th,3,Married-civ-spouse,?,Husband,Other,Male,0,0,40,United-States,<=50K +21,Private,216070,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,Amer-Indian-Eskimo,Female,0,0,46,United-States,>50K +54,Self-emp-not-inc,105010,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +43,Private,198203,Some-college,10,Married-spouse-absent,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +35,Local-gov,215419,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,120460,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K +46,Private,199316,Some-college,10,Married-civ-spouse,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,40,India,<=50K +46,Private,146919,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Private,174744,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +45,?,189564,Masters,14,Married-civ-spouse,?,Wife,White,Female,0,0,1,United-States,<=50K +21,Private,249957,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,146574,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +47,State-gov,156417,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Male,0,0,20,United-States,<=50K +42,Private,236110,5th-6th,3,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K +19,Private,63363,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +25,Private,190107,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,126569,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,>50K +35,Private,176756,12th,8,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +40,Private,115161,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K +57,Self-emp-not-inc,138892,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K +38,Private,256864,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +48,Private,265083,10th,6,Divorced,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K +34,Private,249948,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,34,United-States,<=50K +46,Federal-gov,31141,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,164190,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,?,<=50K +45,State-gov,67544,Masters,14,Divorced,Protective-serv,Not-in-family,White,Male,0,0,50,United-States,<=50K +32,Self-emp-not-inc,174789,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +35,Private,199753,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,48,United-States,<=50K +62,Private,122246,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,8614,0,39,United-States,>50K +56,?,188166,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,96586,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,189590,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,140590,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,33,United-States,<=50K +35,Private,255702,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,27,United-States,<=50K +33,Private,260782,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,United-States,>50K +38,Private,169926,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,40,United-States,>50K +37,State-gov,151322,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Private,192869,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +19,Private,93604,7th-8th,4,Never-married,Craft-repair,Own-child,White,Male,0,1602,32,United-States,<=50K +31,Private,86958,9th,5,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +53,Local-gov,228723,HS-grad,9,Divorced,Craft-repair,Not-in-family,Other,Male,0,0,40,?,>50K +33,Private,192644,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,35,Puerto-Rico,<=50K +72,Private,284080,1st-4th,2,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +54,Private,43269,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +30,Private,190040,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Private,306108,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +30,Private,220148,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,50,United-States,>50K +30,Private,381645,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +32,Private,216361,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,16,United-States,<=50K +30,Private,213722,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +35,Private,112271,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,208277,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,44,United-States,>50K +38,State-gov,352628,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,129620,10th,6,Never-married,Other-service,Other-relative,White,Female,0,0,30,United-States,<=50K +32,Private,249550,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,44,United-States,<=50K +49,Private,178749,Masters,14,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +76,?,173542,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K +60,Private,167670,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +60,Private,81578,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,160662,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,>50K +41,Private,163322,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,0,30,?,<=50K +24,Private,152189,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +53,Private,106176,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,7298,0,60,United-States,>50K +69,State-gov,159191,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,810,38,United-States,<=50K +71,?,250263,Some-college,10,Married-civ-spouse,?,Husband,White,Male,3432,0,30,United-States,<=50K +41,Private,78410,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +32,Private,131379,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +45,Private,166929,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,380357,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,79190,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +40,Private,342164,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,37,United-States,<=50K +44,Private,182616,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +63,Private,339473,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K +31,Local-gov,381153,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,15024,0,56,United-States,>50K +51,Private,300816,Bachelors,13,Never-married,Adm-clerical,Unmarried,White,Male,0,0,20,United-States,<=50K +51,Private,240988,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +23,Private,149224,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Private,168216,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +56,Private,286487,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2885,0,45,United-States,<=50K +39,Private,305597,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Self-emp-not-inc,109766,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +30,Self-emp-not-inc,188798,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Self-emp-not-inc,240170,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Germany,<=50K +31,Private,459465,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +44,Local-gov,162506,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +43,Self-emp-not-inc,145441,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,>50K +37,Federal-gov,129573,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,72,?,>50K +41,Private,27444,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,46,United-States,>50K +43,Private,195258,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +47,State-gov,55272,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +38,Self-emp-not-inc,164526,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,2824,45,United-States,>50K +46,Private,27802,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +19,State-gov,165289,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +19,Private,274657,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,50,Guatemala,<=50K +24,Private,317175,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +39,Self-emp-inc,163237,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K +37,Private,170408,Assoc-voc,11,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,30,United-States,<=50K +28,?,55950,Bachelors,13,Never-married,?,Own-child,Black,Female,0,0,40,Germany,<=50K +40,Private,76625,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +27,Private,366066,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,349368,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +21,Private,286824,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K +32,Private,373263,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +20,Private,161978,HS-grad,9,Separated,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,543922,Masters,14,Divorced,Transport-moving,Not-in-family,White,Male,14344,0,48,United-States,>50K +46,Local-gov,109089,Prof-school,15,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +46,Private,110151,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +26,Private,34110,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,44,United-States,<=50K +47,Self-emp-not-inc,118506,Bachelors,13,Married-civ-spouse,Exec-managerial,Own-child,White,Male,0,0,60,United-States,<=50K +22,Private,117789,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K +34,Self-emp-not-inc,353881,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +49,Private,200471,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K +20,Private,258517,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +28,Private,190367,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +30,Private,174704,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +23,Private,179413,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,329530,9th,5,Never-married,Priv-house-serv,Own-child,White,Male,0,0,40,Mexico,<=50K +31,Private,273818,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,55,Mexico,<=50K +46,Private,256522,1st-4th,2,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Puerto-Rico,<=50K +42,Private,196001,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +60,Self-emp-not-inc,282660,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,72630,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +27,Private,50295,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K +20,Private,203240,9th,5,Never-married,Sales,Own-child,White,Female,0,0,32,United-States,<=50K +56,Self-emp-not-inc,172618,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +41,Private,202168,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +61,Private,176839,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,176140,HS-grad,9,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,>50K +60,Private,39952,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2228,0,37,United-States,<=50K +33,Private,292465,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +40,?,161285,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,25,United-States,<=50K +48,Private,355320,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Canada,>50K +56,Private,182460,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +50,Private,69345,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,55,United-States,>50K +57,Self-emp-not-inc,102058,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +20,Private,165804,Some-college,10,Never-married,Adm-clerical,Own-child,Other,Female,0,0,40,United-States,<=50K +46,Private,318259,Assoc-voc,11,Divorced,Tech-support,Other-relative,White,Female,0,0,36,United-States,<=50K +21,Private,117606,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,170718,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,413297,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,190457,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +54,Private,88278,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +32,Local-gov,217296,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,4064,0,22,United-States,<=50K +62,?,97231,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,1,United-States,<=50K +50,Private,123429,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +49,Federal-gov,420282,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +48,Private,498325,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,248533,Some-college,10,Never-married,Sales,Other-relative,Black,Female,0,0,40,United-States,<=50K +46,Private,137354,Masters,14,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +42,Private,272910,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,Self-emp-inc,206054,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +58,Local-gov,92141,Assoc-acdm,12,Widowed,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +37,Private,163199,Some-college,10,Divorced,Tech-support,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +34,Private,195860,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,115717,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,2051,40,United-States,<=50K +18,Private,120029,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,20,United-States,<=50K +33,Private,221762,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +41,Private,342164,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K +21,Private,176356,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +23,Private,133239,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Federal-gov,169101,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +33,Private,159442,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +24,Private,174461,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,45,United-States,<=50K +43,Private,361280,10th,6,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,42,China,<=50K +52,State-gov,447579,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,England,<=50K +27,?,308995,Some-college,10,Divorced,?,Own-child,Black,Female,0,0,40,United-States,<=50K +61,Private,248448,7th-8th,4,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,161141,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,212465,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +45,Self-emp-inc,170871,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K +43,Local-gov,233865,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +51,Private,163052,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +35,Private,348690,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +47,Federal-gov,34845,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,Germany,>50K +22,Private,206861,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +49,Self-emp-inc,349230,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +20,Private,130840,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +19,Private,415354,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,132191,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,202466,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K +27,?,224421,Some-college,10,Divorced,?,Own-child,White,Male,0,0,40,United-States,<=50K +23,Self-emp-not-inc,236804,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,35,United-States,<=50K +20,Private,107658,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,10,United-States,<=50K +47,Private,102771,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +17,Private,221403,12th,8,Never-married,Other-service,Own-child,Black,Male,0,0,18,United-States,<=50K +76,?,211574,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,1,United-States,<=50K +39,Private,52645,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,276310,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +31,Private,134613,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,43,United-States,<=50K +44,Private,215479,HS-grad,9,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,20,Haiti,<=50K +53,Private,266529,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +34,Private,265807,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +45,Self-emp-not-inc,67716,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +34,Private,178951,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +35,Private,241126,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +36,Private,176544,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K +45,Private,169180,Some-college,10,Widowed,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K +37,Self-emp-not-inc,282461,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +53,Private,157069,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +35,Private,99357,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,50,United-States,>50K +38,Self-emp-not-inc,414991,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,70,?,<=50K +65,Self-emp-inc,338316,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,59612,10th,6,Divorced,Farming-fishing,Unmarried,White,Male,0,0,70,United-States,<=50K +24,Private,220426,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,115912,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,27032,10th,6,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K +19,Private,170720,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +60,Private,183162,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,192360,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +78,?,165694,Masters,14,Widowed,?,Not-in-family,White,Female,0,0,15,United-States,<=50K +26,Private,128553,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K +58,Private,209423,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,38,Cuba,<=50K +37,Self-emp-not-inc,121510,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,55,United-States,<=50K +41,Private,93793,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +30,Private,133602,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,391329,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +48,Private,96359,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Greece,>50K +22,Private,203894,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Female,0,0,24,United-States,<=50K +50,Private,196193,Masters,14,Married-spouse-absent,Prof-specialty,Other-relative,White,Male,0,0,60,?,<=50K +25,Private,195994,1st-4th,2,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,Guatemala,<=50K +18,Private,50879,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,6,United-States,<=50K +21,Private,186849,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,201127,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +33,Private,110998,HS-grad,9,Never-married,Other-service,Other-relative,Amer-Indian-Eskimo,Female,0,0,36,United-States,<=50K +39,Private,190466,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,2174,0,40,United-States,<=50K +67,Self-emp-not-inc,173935,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,8,United-States,>50K +19,Private,167140,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,1602,24,United-States,<=50K +18,Private,110230,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,11,United-States,<=50K +36,Private,287658,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K +23,Private,224954,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,25,United-States,<=50K +25,?,394820,Some-college,10,Separated,?,Unmarried,White,Female,0,0,20,United-States,<=50K +40,Private,37618,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K +73,Self-emp-not-inc,29306,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,37314,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K +31,Private,420749,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +20,Private,482732,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,206215,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +27,Private,101364,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +66,Self-emp-inc,185369,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +66,Private,216856,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +64,Private,256019,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +48,Private,348144,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,3325,0,53,United-States,<=50K +24,Private,190293,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Self-emp-not-inc,25932,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +25,Private,176729,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +33,Private,166961,11th,7,Separated,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +50,Private,86373,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +51,Private,320513,7th-8th,4,Married-spouse-absent,Craft-repair,Not-in-family,Black,Male,0,0,50,Dominican-Republic,<=50K +34,State-gov,190290,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +41,Local-gov,111891,7th-8th,4,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +30,Self-emp-not-inc,45796,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,108496,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,2907,0,40,United-States,<=50K +41,Self-emp-not-inc,120539,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,40,United-States,>50K +36,Self-emp-not-inc,164526,Masters,14,Never-married,Sales,Not-in-family,White,Male,10520,0,45,United-States,>50K +37,Private,323155,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,85,Mexico,<=50K +28,Private,65389,HS-grad,9,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K +19,Private,414871,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,161607,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +62,Private,224953,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +36,Private,261382,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K +58,Self-emp-not-inc,231818,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Greece,<=50K +42,Self-emp-inc,184018,HS-grad,9,Divorced,Sales,Unmarried,White,Male,1151,0,50,United-States,<=50K +43,Self-emp-inc,133060,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,35032,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,State-gov,304212,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +64,Local-gov,50442,9th,5,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K +39,Private,146091,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K +26,Private,267431,Bachelors,13,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K +19,Private,121240,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +21,Private,192572,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,45,United-States,<=50K +32,Private,211028,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Local-gov,346122,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,5013,0,45,United-States,<=50K +26,Private,202203,Bachelors,13,Never-married,Adm-clerical,Other-relative,White,Female,0,0,50,United-States,<=50K +20,Private,159297,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,15,United-States,<=50K +19,Private,310158,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K +33,Federal-gov,193246,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,42,United-States,>50K +23,Private,200089,Some-college,10,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,40,El-Salvador,<=50K +29,Private,38353,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +42,Private,76280,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +30,Self-emp-not-inc,243665,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +63,Private,68872,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K +34,Private,103596,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +60,Self-emp-not-inc,88055,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,24,United-States,<=50K +48,Private,186203,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +25,Private,257910,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +27,Private,200227,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +55,Self-emp-not-inc,124975,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,27828,0,55,United-States,>50K +32,Private,227669,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +22,Private,117210,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,Greece,<=50K +25,Private,76144,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +18,Private,98667,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +24,Local-gov,155818,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,44,United-States,<=50K +29,Private,283760,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +73,?,281907,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,3,United-States,<=50K +39,Private,186183,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +33,Self-emp-inc,202153,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,365683,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,>50K +22,Private,187538,10th,6,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +33,?,209432,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,20,United-States,<=50K +33,Private,126950,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +42,Private,110028,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,104660,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Male,0,0,45,United-States,<=50K +57,Self-emp-not-inc,437281,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,>50K +42,Private,259643,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,4650,0,40,United-States,<=50K +22,Private,217961,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,1719,30,United-States,<=50K +21,?,134746,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +42,Self-emp-not-inc,120539,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +39,Private,25803,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +41,Private,63596,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,32,United-States,>50K +20,Local-gov,325493,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +47,Private,211239,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,206686,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,427965,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +52,Private,218550,Some-college,10,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,14084,0,16,United-States,>50K +71,Private,163385,Some-college,10,Widowed,Sales,Not-in-family,White,Male,0,0,35,United-States,>50K +52,Private,124993,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,55,United-States,<=50K +36,Private,107410,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,152373,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,>50K +37,Private,161226,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,>50K +26,Private,213799,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,204461,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +35,Private,377798,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +20,Private,116375,9th,5,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +34,Local-gov,210164,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K +56,Self-emp-not-inc,258752,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +39,Private,327435,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,>50K +24,Private,301199,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,20,United-States,<=50K +24,Private,186221,11th,7,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +23,Private,203924,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +27,Private,192236,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +25,Private,152035,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,201454,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,156580,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,37,United-States,>50K +51,Private,115851,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,106753,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K +59,Private,359292,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +29,Private,83003,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +18,Private,78817,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +24,Private,200967,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,36,United-States,<=50K +38,State-gov,107164,Some-college,10,Separated,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,189674,HS-grad,9,Never-married,Priv-house-serv,Unmarried,Black,Female,0,0,28,?,<=50K +34,Self-emp-not-inc,90614,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +42,Self-emp-not-inc,323790,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,70,United-States,>50K +45,Self-emp-not-inc,242552,12th,8,Divorced,Craft-repair,Other-relative,Black,Male,0,0,35,United-States,<=50K +21,Private,90935,Assoc-voc,11,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +64,Self-emp-inc,165667,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,60,Canada,>50K +32,Private,162604,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Male,0,0,40,United-States,<=50K +45,Private,205424,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +53,Private,97411,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K +42,Private,184857,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,16,United-States,<=50K +32,Private,165226,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Private,115784,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,368476,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,24,Mexico,<=50K +28,Private,53063,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +29,?,134566,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K +32,Private,153471,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,35,United-States,<=50K +37,Self-emp-inc,107164,10th,6,Never-married,Transport-moving,Not-in-family,White,Male,0,2559,50,United-States,>50K +38,Private,180303,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,Japan,>50K +44,Local-gov,236321,HS-grad,9,Divorced,Transport-moving,Own-child,White,Male,0,0,25,United-States,<=50K +19,Private,141868,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +22,?,367655,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,203518,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Private,119558,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +56,Private,108276,Bachelors,13,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,385452,10th,6,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,162003,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,349028,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,45114,Bachelors,13,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K +44,Private,112797,9th,5,Divorced,Other-service,Own-child,White,Female,0,0,50,United-States,<=50K +28,Private,183639,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +35,Private,177121,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +38,Private,239755,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,150361,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +20,Private,293091,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K +24,Private,200089,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,Mexico,>50K +40,Private,91836,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +23,Private,324960,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +79,Local-gov,84616,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,7,United-States,<=50K +44,Private,252930,10th,6,Divorced,Adm-clerical,Unmarried,Other,Female,0,0,42,United-States,<=50K +51,Private,44000,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,99999,0,50,United-States,>50K +30,Private,154843,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,99307,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,3103,0,48,United-States,>50K +41,Private,182567,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,>50K +33,Private,93206,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +50,Private,100109,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,45,United-States,>50K +51,Private,114927,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,United-States,>50K +41,Private,121287,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,189916,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,>50K +34,Private,157747,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +28,Private,39232,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +31,Self-emp-inc,133861,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,505980,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +67,?,183374,HS-grad,9,Widowed,?,Not-in-family,White,Female,2329,0,15,United-States,<=50K +65,Private,193216,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,9386,0,40,United-States,>50K +39,Self-emp-not-inc,140752,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +23,Private,549349,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +29,Self-emp-not-inc,179008,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +57,Self-emp-not-inc,190554,10th,6,Divorced,Exec-managerial,Own-child,White,Male,0,0,60,United-States,>50K +47,Private,80924,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +51,Local-gov,319054,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,60,United-States,<=50K +34,Private,297094,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +52,Private,170562,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +29,Private,240738,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +29,Private,297544,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Local-gov,169905,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,149637,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,182526,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Self-emp-not-inc,158315,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +61,Self-emp-inc,227232,Bachelors,13,Separated,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +34,Private,96483,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,8614,0,60,United-States,>50K +41,Private,286970,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +27,Local-gov,223529,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Male,0,0,43,United-States,<=50K +78,Self-emp-not-inc,316261,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,99999,0,20,United-States,>50K +40,Private,170214,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +26,Self-emp-not-inc,224361,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,75,United-States,<=50K +43,Private,124919,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,60,Japan,<=50K +55,?,103654,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +25,Private,306352,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,Mexico,<=50K +26,Self-emp-not-inc,227858,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,48,United-States,<=50K +43,Self-emp-inc,150533,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,68,United-States,>50K +25,Private,144478,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,Poland,<=50K +22,Private,254547,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,30,Jamaica,<=50K +52,Self-emp-not-inc,313243,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +61,Private,149981,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,2414,0,5,United-States,<=50K +42,Private,125461,Bachelors,13,Never-married,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K +21,Private,306967,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,192976,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +65,Private,192133,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2290,0,40,Greece,<=50K +56,?,131608,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,10,United-States,<=50K +33,Federal-gov,339388,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +22,Private,203240,10th,6,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,83827,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,24,United-States,<=50K +45,Self-emp-inc,160440,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K +42,Private,108502,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,42,United-States,<=50K +37,Private,410913,HS-grad,9,Married-spouse-absent,Farming-fishing,Unmarried,Other,Male,0,0,40,Mexico,<=50K +56,Private,193818,9th,5,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,?,163582,10th,6,Divorced,?,Unmarried,White,Female,0,0,16,?,<=50K +40,Private,103789,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,32,United-States,<=50K +31,Private,34572,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +26,Private,43408,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +26,State-gov,105787,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +42,Self-emp-inc,90693,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +45,Self-emp-not-inc,285575,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K +47,Local-gov,56482,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,7688,0,50,United-States,>50K +22,Private,496025,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +33,Private,382764,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,259284,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,50,United-States,<=50K +48,Self-emp-not-inc,185385,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,98,United-States,<=50K +57,Self-emp-not-inc,286836,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,8,United-States,<=50K +47,Private,139145,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +58,Local-gov,44246,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,169611,11th,7,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +52,Private,133403,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +29,Private,187327,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,180032,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,46561,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +23,Private,86065,12th,8,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +46,Self-emp-not-inc,256014,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +30,Private,188403,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,396758,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,70,United-States,>50K +25,Private,60485,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +32,Private,271276,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,>50K +56,Private,229525,9th,5,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +33,Private,34574,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,43,United-States,<=50K +19,State-gov,112432,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K +20,Private,105312,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,18,United-States,<=50K +34,Private,221396,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,304872,9th,5,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +55,Self-emp-not-inc,319733,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,176012,9th,5,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,23,United-States,<=50K +31,Private,213750,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +30,Private,248384,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,351187,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +51,Private,138179,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,1876,40,United-States,<=50K +59,Private,50223,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,117477,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,36,United-States,<=50K +40,Private,194360,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,118108,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +25,Local-gov,90730,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K +18,Self-emp-inc,38307,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,30,United-States,<=50K +41,Private,116391,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,210496,10th,6,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,168475,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +46,Private,174386,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K +39,Private,166744,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,38,United-States,<=50K +19,Private,375114,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,373469,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,339667,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,41,United-States,<=50K +39,Private,91711,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +41,Private,82049,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +26,Private,236242,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +57,Self-emp-inc,140319,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +33,Local-gov,34080,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +56,Private,204816,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +60,Private,187124,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,72310,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K +58,Private,175127,12th,8,Married-civ-spouse,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K +48,Federal-gov,205707,Masters,14,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,10520,0,50,United-States,>50K +45,Local-gov,236586,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,55,United-States,>50K +18,Private,71792,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +56,Private,87584,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +48,Self-emp-inc,136878,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +40,Private,287983,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,0,2258,48,Philippines,<=50K +38,Private,110607,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K +58,Private,109015,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,235071,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,50,United-States,<=50K +63,Private,88653,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K +51,Private,332243,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +22,?,291547,5th-6th,3,Married-civ-spouse,?,Wife,Other,Female,0,0,40,Mexico,<=50K +44,Private,45093,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +46,Federal-gov,161337,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +64,State-gov,211222,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,295117,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,England,>50K +31,Private,206541,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,238415,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +21,Private,29810,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +30,Private,108023,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,114324,Assoc-voc,11,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +54,Private,172281,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2051,50,United-States,<=50K +59,Local-gov,197290,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +28,Local-gov,191177,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K +57,Private,562558,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,79531,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +53,Self-emp-inc,157881,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +58,Self-emp-not-inc,204816,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +19,Private,185695,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +39,Self-emp-inc,167482,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +31,Self-emp-inc,83748,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,70,South,<=50K +27,Private,39232,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Local-gov,236827,9th,5,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +37,Self-emp-not-inc,154410,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,135308,Bachelors,13,Never-married,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K +33,Private,204042,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K +20,Private,308239,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +55,Private,183884,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +39,Private,98948,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,141642,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,162623,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Self-emp-inc,186934,Bachelors,13,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,179512,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +25,Private,391192,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,24,United-States,<=50K +31,Private,87054,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +51,Private,30008,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +24,Private,113466,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +70,Private,642830,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Female,0,0,32,United-States,<=50K +23,Private,182117,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +61,Private,162432,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Self-emp-not-inc,242184,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +47,Private,170850,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,4064,0,60,United-States,<=50K +56,Private,435022,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +79,Private,120707,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,35,El-Salvador,>50K +20,Private,170800,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +30,Private,268575,HS-grad,9,Never-married,Craft-repair,Unmarried,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +27,Private,269354,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,?,<=50K +40,Private,224232,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +60,?,153072,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,5,United-States,<=50K +58,Private,177368,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +71,Self-emp-not-inc,163293,Prof-school,15,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,2,United-States,<=50K +50,Private,178530,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +29,Local-gov,183523,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,Iran,<=50K +33,Private,207267,10th,6,Separated,Other-service,Unmarried,White,Female,3418,0,35,United-States,<=50K +60,State-gov,27037,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K +33,Private,176711,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K +43,Private,163215,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,?,>50K +33,Private,394727,10th,6,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,40,United-States,<=50K +33,Private,195488,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,52,United-States,<=50K +32,State-gov,443546,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,<=50K +21,Private,121023,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,9,United-States,<=50K +38,Private,51838,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +38,Private,258888,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K +39,State-gov,189385,Some-college,10,Separated,Exec-managerial,Unmarried,Black,Female,0,0,30,United-States,<=50K +17,Private,198146,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +21,Private,337766,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,210525,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,>50K +42,Private,185602,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +36,Private,173804,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,251243,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +37,Self-emp-not-inc,415847,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +28,Private,119793,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,181705,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,182360,HS-grad,9,Separated,Prof-specialty,Unmarried,Other,Female,0,0,60,Puerto-Rico,<=50K +49,Private,61885,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,146520,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +40,Private,323790,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,146268,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Federal-gov,287031,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,8614,0,40,United-States,>50K +33,Local-gov,292217,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Male,0,0,40,United-States,<=50K +24,Private,88126,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,143046,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,401623,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,Jamaica,>50K +36,Self-emp-not-inc,283122,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1902,60,United-States,>50K +84,Self-emp-not-inc,155057,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K +23,Private,260254,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,152292,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +55,Self-emp-inc,138594,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K +30,Self-emp-not-inc,523095,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +46,Private,175262,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K +55,Private,323706,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K +34,Private,316470,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,163815,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +27,Private,72208,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K +52,Local-gov,74784,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +36,Private,383518,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,99999,0,40,United-States,>50K +25,Self-emp-not-inc,266668,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Private,347519,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +24,Private,336088,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,0,0,50,United-States,<=50K +36,Private,190350,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +31,Private,204052,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +66,?,31362,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +90,Self-emp-not-inc,155981,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,10566,0,50,United-States,<=50K +67,Private,195161,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,60,United-States,>50K +22,Self-emp-inc,269583,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,2580,0,40,United-States,<=50K +47,Private,26994,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +32,Private,116539,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,55,United-States,>50K +55,Self-emp-not-inc,189933,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,101283,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,35,United-States,<=50K +48,Private,113598,Some-college,10,Separated,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K +21,Private,188793,HS-grad,9,Married-civ-spouse,Sales,Husband,Other,Male,0,0,35,United-States,<=50K +33,Private,109996,Assoc-acdm,12,Married-spouse-absent,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +27,Private,195681,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,48,?,<=50K +47,Private,436770,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,84253,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K +44,Self-emp-inc,383493,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +23,Private,216867,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,37,Mexico,<=50K +18,Private,401051,10th,6,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +56,Private,83196,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,325596,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K +43,Private,187322,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +23,Private,193949,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,60,United-States,<=50K +26,Private,133373,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,42,United-States,<=50K +42,Private,113324,HS-grad,9,Widowed,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K +23,Private,178818,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Self-emp-not-inc,152810,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,335997,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,55,United-States,>50K +40,Private,436493,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +27,Private,704108,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +24,Local-gov,150084,Some-college,10,Separated,Protective-serv,Not-in-family,White,Male,0,0,60,United-States,<=50K +42,Private,341204,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Female,0,0,40,United-States,<=50K +41,Private,187336,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,204209,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K +42,Self-emp-not-inc,206066,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,<=50K +38,Private,63509,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +63,Self-emp-not-inc,391121,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +31,Private,56026,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,Self-emp-not-inc,60981,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,4,United-States,<=50K +21,Private,228255,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +24,Private,86745,Bachelors,13,Married-civ-spouse,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +55,Private,234327,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,59948,9th,5,Never-married,Adm-clerical,Unmarried,Black,Female,114,0,20,United-States,<=50K +31,Private,137814,Some-college,10,Divorced,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +23,Private,167692,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +35,Private,245090,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +51,Self-emp-not-inc,256963,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +19,Private,160033,Some-college,10,Never-married,Protective-serv,Own-child,White,Female,0,0,30,United-States,<=50K +38,Local-gov,289430,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,56,United-States,<=50K +52,Local-gov,305053,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,40,United-States,<=50K +70,Self-emp-not-inc,172370,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K +53,Private,320510,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,Private,171355,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +39,Private,65027,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,43,United-States,<=50K +18,Private,215190,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +41,?,149385,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +19,?,169324,Some-college,10,Never-married,?,Own-child,White,Male,0,0,10,United-States,<=50K +24,Private,138938,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,557082,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +32,Private,273287,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,Jamaica,<=50K +34,Self-emp-not-inc,77209,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,60,United-States,>50K +35,Private,317153,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Private,95469,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,45,United-States,>50K +18,Private,302859,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +37,Private,333651,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,42,United-States,<=50K +30,Private,177596,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K +40,Self-emp-inc,157240,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,30,Iran,>50K +22,Private,184779,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Local-gov,138358,Some-college,10,Separated,Other-service,Unmarried,Black,Female,0,0,28,United-States,<=50K +70,Private,176285,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,23,United-States,<=50K +43,Private,102180,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +77,Self-emp-not-inc,209507,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Self-emp-not-inc,229741,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,324546,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,39,United-States,<=50K +51,Private,337195,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1902,50,United-States,>50K +58,State-gov,194068,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +22,Private,250647,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,12,United-States,<=50K +33,Private,477106,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +27,Private,104329,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,224566,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +32,Private,169841,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,55,United-States,<=50K +41,Private,42563,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,25,United-States,>50K +37,Private,31368,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,132755,11th,7,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +50,Private,279129,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K +31,?,86143,HS-grad,9,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +54,State-gov,44172,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K +23,State-gov,93076,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +40,Private,146653,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +29,Private,221366,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,40,Germany,<=50K +38,Private,189404,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,35,?,<=50K +30,Private,172304,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +20,Private,116666,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,8,India,<=50K +43,Self-emp-not-inc,64112,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +25,Private,55718,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,25,United-States,<=50K +39,Private,126675,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +48,Private,102112,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +41,Self-emp-not-inc,226505,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,211527,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K +20,Private,175069,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,Yugoslavia,<=50K +25,Private,25249,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,Private,73411,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Private,207185,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,Puerto-Rico,>50K +66,Private,127139,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +34,Private,41809,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,297449,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,14084,0,40,United-States,>50K +46,Private,141483,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +42,Local-gov,117227,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K +46,Private,377401,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,70,Canada,>50K +34,Local-gov,167063,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,253759,Some-college,10,Married-civ-spouse,Tech-support,Wife,Black,Female,0,0,40,United-States,<=50K +42,Private,183096,Some-college,10,Divorced,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +31,Private,269654,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K +70,?,293076,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K +32,Private,34104,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +46,Federal-gov,80057,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Germany,>50K +42,Self-emp-inc,369781,7th-8th,4,Divorced,Craft-repair,Unmarried,White,Male,0,0,25,United-States,<=50K +21,Private,223811,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,163053,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,189461,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,55,United-States,<=50K +50,Local-gov,145166,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +37,Private,86310,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +19,?,263224,11th,7,Never-married,?,Unmarried,White,Female,0,0,30,United-States,<=50K +44,Federal-gov,280362,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +29,Private,301031,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +30,Private,74966,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,24,United-States,<=50K +36,Private,254493,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K +49,Self-emp-not-inc,204241,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +29,Private,225024,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Local-gov,148222,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +75,State-gov,113868,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,20,United-States,>50K +42,Private,132633,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,?,<=50K +37,Private,44780,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Private,86373,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,25,United-States,<=50K +61,Local-gov,176753,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,United-States,<=50K +33,Private,164707,Assoc-acdm,12,Never-married,Exec-managerial,Unmarried,White,Female,2174,0,55,?,<=50K +50,Local-gov,370733,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +59,Private,216851,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,137951,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K +22,Private,185279,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K +56,Private,159724,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +44,Private,103233,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +35,Private,63509,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +57,Private,174353,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,168109,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,15024,0,50,United-States,>50K +27,Private,159724,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Self-emp-not-inc,105010,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2051,20,United-States,<=50K +30,Private,179112,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Male,0,0,40,?,<=50K +46,Private,364913,11th,7,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +48,Self-emp-inc,155664,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +61,Private,230568,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K +33,Private,86492,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,87,United-States,<=50K +40,Private,71305,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +58,Self-emp-inc,189933,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +46,Self-emp-inc,191978,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2392,50,United-States,>50K +35,Private,38948,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +51,Self-emp-inc,139127,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +37,Private,301568,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +64,Private,149044,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,2057,60,China,<=50K +41,Private,197344,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,54,United-States,<=50K +18,Private,32244,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,594,0,30,United-States,<=50K +44,Self-emp-not-inc,315406,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,88,United-States,<=50K +41,State-gov,47170,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Amer-Indian-Eskimo,Female,0,0,48,United-States,>50K +33,State-gov,208785,Some-college,10,Separated,Prof-specialty,Not-in-family,White,Male,10520,0,40,United-States,>50K +37,Private,196338,9th,5,Separated,Priv-house-serv,Unmarried,White,Female,0,0,16,Mexico,<=50K +34,Private,269243,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +24,Federal-gov,215115,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,?,<=50K +20,Private,117767,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,176101,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,138283,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Self-emp-not-inc,132320,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,45,United-States,<=50K +22,Federal-gov,471452,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,8,United-States,<=50K +55,Private,147653,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,73,United-States,<=50K +20,Private,49179,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +26,Private,174921,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Self-emp-inc,95997,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,70,United-States,<=50K +40,Private,247245,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,67072,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +54,?,95329,Some-college,10,Divorced,?,Own-child,White,Male,0,0,50,United-States,<=50K +24,Private,107882,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,241825,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,46,United-States,<=50K +18,Private,79443,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,8,United-States,<=50K +49,Self-emp-not-inc,233059,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +17,Private,226980,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,17,United-States,<=50K +34,Self-emp-not-inc,181087,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +37,Private,305597,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +49,Federal-gov,311671,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +74,Private,129879,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,15831,0,40,United-States,>50K +37,Private,83375,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,115824,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1573,40,United-States,<=50K +40,Private,141657,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,United-States,>50K +34,Private,50276,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,27828,0,40,United-States,>50K +30,Private,177216,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,1740,40,Haiti,<=50K +44,Private,228057,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,Puerto-Rico,<=50K +40,Private,222848,10th,6,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,32,United-States,<=50K +58,Private,121111,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,Greece,<=50K +44,Private,298885,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,149909,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,>50K +39,Private,387430,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,18,United-States,<=50K +19,Private,121972,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +41,Private,280167,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,70,United-States,>50K +29,State-gov,191355,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Federal-gov,112115,Some-college,10,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +38,?,104094,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K +27,Private,211032,Preschool,1,Married-civ-spouse,Farming-fishing,Other-relative,White,Male,41310,0,24,Mexico,<=50K +54,Private,199307,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,48,United-States,<=50K +40,Private,205175,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,37,United-States,<=50K +19,Private,257750,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,25,United-States,<=50K +17,Private,191260,11th,7,Never-married,Other-service,Own-child,White,Male,594,0,10,United-States,<=50K +33,Private,342730,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,<=50K +80,Private,249983,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K +24,Self-emp-not-inc,161508,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +28,Private,338376,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +55,Private,334308,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,>50K +21,Private,133471,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,129177,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +19,Private,178811,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +42,Private,178537,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K +60,Self-emp-not-inc,235535,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K +20,?,298155,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K +51,Private,145114,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,194096,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +37,State-gov,191779,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,159732,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,52,United-States,<=50K +42,Federal-gov,170230,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,14084,0,60,United-States,>50K +40,Private,104719,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,163083,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +33,Private,403552,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,32,United-States,<=50K +62,Private,218009,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1977,60,United-States,>50K +47,Private,179313,10th,6,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +26,Private,51961,12th,8,Never-married,Sales,Other-relative,Black,Male,0,0,51,United-States,<=50K +59,Private,426001,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,20,Puerto-Rico,<=50K +70,Local-gov,176493,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,17,United-States,<=50K +26,Private,124068,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +47,Private,108510,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K +25,Private,181528,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,<=50K +52,Self-emp-inc,173754,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K +46,Private,169699,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +67,Private,126849,10th,6,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,20,United-States,<=50K +34,Private,204470,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +53,State-gov,116367,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,4650,0,40,United-States,<=50K +22,Private,117363,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +39,Local-gov,106297,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Male,0,0,42,United-States,<=50K +54,Self-emp-not-inc,108933,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +24,Private,190143,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,246677,HS-grad,9,Separated,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K +38,Private,175360,10th,6,Never-married,Prof-specialty,Not-in-family,White,Male,0,2559,90,United-States,>50K +41,Local-gov,210259,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +36,Private,166304,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,33,United-States,<=50K +43,Private,303051,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +39,Private,49308,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,192262,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K +49,Local-gov,192349,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,4650,0,40,United-States,<=50K +37,Self-emp-not-inc,48063,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +43,Private,170214,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +54,Federal-gov,51048,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +53,Self-emp-inc,246562,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Mexico,>50K +57,Local-gov,215175,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +28,Private,114967,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +29,Private,464536,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,451996,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,138852,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,State-gov,353012,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +50,Self-emp-inc,321822,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,75,United-States,>50K +50,Self-emp-not-inc,324506,HS-grad,9,Widowed,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,48,South,<=50K +36,Private,162256,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Local-gov,356689,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,260199,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +36,Private,103605,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,316211,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,308691,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +39,Private,194404,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +18,Private,334427,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,36,United-States,<=50K +33,Private,213226,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +35,Private,342824,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,1151,0,40,United-States,<=50K +23,Private,33105,Some-college,10,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +37,Private,147638,Bachelors,13,Separated,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,36,Philippines,<=50K +25,Private,315643,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +51,Federal-gov,106257,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,<=50K +35,Private,342768,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,108960,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +66,?,168071,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K +32,Private,136935,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,13,United-States,<=50K +37,Self-emp-not-inc,188774,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Male,0,0,55,United-States,>50K +29,Private,280344,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +45,Private,202496,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,37,United-States,<=50K +61,Self-emp-inc,134768,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,175686,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,194748,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Female,0,0,49,United-States,<=50K +49,Private,61307,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,38,United-States,<=50K +51,Self-emp-not-inc,165001,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,25236,0,50,United-States,>50K +34,Private,325658,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +28,?,201844,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,40,Mexico,<=50K +20,Private,505980,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,185336,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,37,United-States,<=50K +49,Self-emp-inc,362795,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,99999,0,80,Mexico,>50K +26,Private,126829,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +63,Private,264600,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +36,Private,82743,Assoc-acdm,12,Never-married,Transport-moving,Not-in-family,White,Male,0,0,55,Iran,<=50K +63,Self-emp-not-inc,125178,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +22,Private,128487,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,10,United-States,<=50K +40,Private,321758,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +31,Private,128220,7th-8th,4,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +49,Private,176814,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Canada,<=50K +35,Private,188069,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,13550,0,55,?,>50K +23,State-gov,156423,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K +25,Private,169905,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,27828,0,40,United-States,>50K +34,?,157289,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,176972,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +44,Self-emp-not-inc,171424,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,2205,35,United-States,<=50K +33,Private,91811,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,203924,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,2597,0,45,United-States,<=50K +55,Private,177484,11th,7,Married-civ-spouse,Other-service,Husband,Black,Male,0,1672,40,United-States,<=50K +17,?,454614,11th,7,Never-married,?,Own-child,White,Female,0,0,8,United-States,<=50K +75,Self-emp-not-inc,242108,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,2346,0,15,United-States,<=50K +61,Private,132972,9th,5,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +53,Private,157947,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Local-gov,177482,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K +48,Private,246891,Some-college,10,Widowed,Sales,Unmarried,White,Male,0,0,50,United-States,>50K +28,State-gov,158834,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +30,?,203834,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,50,Taiwan,<=50K +29,Private,110442,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +25,Private,240676,Some-college,10,Divorced,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +37,Private,192939,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +43,Local-gov,260696,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,55,United-States,<=50K +40,Local-gov,55363,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,144949,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +55,Private,116878,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,30,United-States,>50K +31,Local-gov,357954,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,20,United-States,<=50K +21,?,170038,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +32,Self-emp-not-inc,190290,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Italy,<=50K +26,State-gov,203279,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,2463,0,50,India,<=50K +26,Private,167761,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +44,Private,138845,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,144844,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,52,United-States,>50K +21,?,161930,HS-grad,9,Never-married,?,Own-child,Black,Female,0,1504,30,United-States,<=50K +26,Private,55743,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,30,United-States,<=50K +40,Self-emp-not-inc,117721,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +19,Self-emp-not-inc,116385,11th,7,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Private,301867,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,238913,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +28,Self-emp-not-inc,123983,Some-college,10,Married-civ-spouse,Sales,Own-child,Asian-Pac-Islander,Male,0,0,63,South,<=50K +26,Private,165510,Bachelors,13,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +64,Private,183513,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +42,Self-emp-inc,119281,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +41,Private,152629,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +45,Private,110171,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,211440,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +41,Local-gov,359259,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,125796,11th,7,Separated,Other-service,Not-in-family,Black,Female,0,0,40,Jamaica,<=50K +34,Private,39609,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,111567,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,45,Germany,>50K +23,Private,44064,Some-college,10,Separated,Other-service,Not-in-family,White,Male,0,2559,40,United-States,>50K +35,Self-emp-not-inc,120066,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K +41,Private,132633,11th,7,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,25,Guatemala,<=50K +39,Private,192702,Masters,14,Never-married,Craft-repair,Not-in-family,White,Female,0,0,50,United-States,<=50K +41,Private,166813,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +33,Self-emp-inc,40444,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,290504,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K +25,Private,178505,Some-college,10,Never-married,Exec-managerial,Other-relative,White,Female,0,1504,45,United-States,<=50K +25,Private,175370,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +77,Self-emp-not-inc,72931,7th-8th,4,Married-spouse-absent,Adm-clerical,Not-in-family,White,Male,0,0,20,Italy,>50K +33,?,234542,Assoc-voc,11,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +66,Private,284021,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,277974,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +44,Private,111275,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,38,United-States,<=50K +45,Self-emp-inc,191776,Masters,14,Divorced,Sales,Unmarried,White,Female,25236,0,42,United-States,>50K +28,Private,125527,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +19,Private,38294,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,2597,0,40,United-States,<=50K +43,Private,313022,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,4386,0,40,United-States,>50K +39,Private,179668,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,15024,0,40,United-States,>50K +33,Private,198660,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +44,Private,216116,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,Black,Female,0,0,40,Jamaica,<=50K +62,Private,200922,7th-8th,4,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,153372,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +41,Private,406603,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,6,Iran,<=50K +23,Local-gov,248344,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,30,United-States,<=50K +48,Private,240629,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,>50K +38,Private,314310,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +37,Private,259785,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +45,Private,127111,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +29,Private,178272,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +66,Local-gov,75134,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,25,United-States,<=50K +19,Private,195985,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +23,Private,221955,9th,5,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,39,Mexico,<=50K +34,Private,177675,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +39,Private,182828,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +33,Self-emp-not-inc,270889,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +43,Private,183096,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,10,United-States,<=50K +27,Private,336951,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,<=50K +33,State-gov,295589,Some-college,10,Separated,Adm-clerical,Own-child,Black,Male,0,0,35,United-States,<=50K +26,Private,289980,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,Mexico,<=50K +56,Self-emp-inc,70720,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,27828,0,60,United-States,>50K +46,Private,163352,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,36,United-States,<=50K +38,Private,190776,Assoc-acdm,12,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +90,Private,313986,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +72,Self-emp-inc,473748,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,>50K +20,Private,163003,HS-grad,9,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,15,United-States,<=50K +29,Private,183061,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,48,United-States,<=50K +49,Private,123584,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,75,United-States,<=50K +23,Private,120910,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +20,Private,227554,Some-college,10,Married-spouse-absent,Sales,Own-child,Black,Female,0,0,18,United-States,<=50K +57,Private,182677,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,4508,0,40,South,<=50K +46,Private,214955,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,209768,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +24,Private,258120,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,55,Jamaica,<=50K +49,Private,110015,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Greece,<=50K +54,Private,152652,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K +46,Federal-gov,43206,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,1564,50,United-States,>50K +31,Self-emp-not-inc,114639,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +43,Self-emp-inc,221172,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K +18,?,128538,Some-college,10,Never-married,?,Own-child,White,Female,0,0,6,United-States,<=50K +19,Private,131615,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,353824,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,178417,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Private,178644,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,271665,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +37,?,223732,Some-college,10,Separated,?,Unmarried,White,Male,0,0,40,United-States,<=50K +21,Federal-gov,169003,12th,8,Never-married,Adm-clerical,Own-child,Black,Male,0,0,25,United-States,<=50K +52,State-gov,338816,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,70,United-States,>50K +34,Private,506858,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,>50K +28,Private,265628,Assoc-voc,11,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,173495,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,177413,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +39,Private,31670,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K +49,Private,154451,11th,7,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,35,United-States,<=50K +35,Private,265535,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,50,Jamaica,>50K +31,Private,118941,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +18,Private,214617,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +47,Local-gov,265097,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,4386,0,40,United-States,>50K +46,Private,276087,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,5013,0,50,United-States,<=50K +43,Private,124692,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +51,Federal-gov,306784,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,United-States,>50K +21,Private,434102,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,?,387641,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +31,State-gov,181824,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,35,United-States,>50K +39,Local-gov,177907,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,40,United-States,>50K +58,Private,87329,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,<=50K +36,Private,263130,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,262882,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +31,Private,37546,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,35,United-States,>50K +19,Private,27433,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,393945,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,36,United-States,<=50K +26,Private,173927,Assoc-voc,11,Never-married,Prof-specialty,Own-child,Other,Female,0,0,60,Jamaica,<=50K +38,Private,343403,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,16,United-States,<=50K +36,Private,111128,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +40,Private,193882,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +25,Private,310864,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Male,0,0,40,?,<=50K +41,Private,128354,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,25,United-States,>50K +33,Private,113364,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +63,?,198559,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K +51,Private,136913,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,115488,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,154227,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,279667,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +30,Self-emp-not-inc,281030,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,66,United-States,<=50K +19,Private,283945,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K +47,Private,454989,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +26,Private,391349,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,State-gov,166704,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,14,United-States,<=50K +36,Private,151835,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,>50K +60,Private,199085,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,61487,HS-grad,9,Never-married,Prof-specialty,Unmarried,Black,Male,0,0,40,United-States,<=50K +19,Private,120251,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,14,United-States,<=50K +42,Private,273230,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,90,United-States,<=50K +36,Private,358373,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Female,0,0,36,United-States,<=50K +35,Private,267891,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,38,United-States,<=50K +22,Private,234880,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +54,Private,48358,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +36,Private,96452,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +55,Private,204751,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K +57,Private,375868,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,413373,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,36,United-States,<=50K +24,Private,537222,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +35,Local-gov,33975,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +51,Self-emp-inc,162327,11th,7,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,182691,HS-grad,9,Divorced,Exec-managerial,Own-child,White,Male,0,0,44,United-States,<=50K +36,Private,300829,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,42,United-States,<=50K +51,Local-gov,114508,9th,5,Separated,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +46,Self-emp-inc,214627,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +42,Private,129684,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Black,Female,5455,0,50,United-States,<=50K +25,State-gov,120041,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,361138,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,50,United-States,<=50K +37,Private,76893,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,205424,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,40,United-States,>50K +61,Private,176839,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +40,Private,229148,12th,8,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,Jamaica,<=50K +58,Self-emp-inc,154537,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,20,United-States,>50K +52,Private,181901,HS-grad,9,Married-spouse-absent,Farming-fishing,Other-relative,White,Male,0,0,20,Mexico,<=50K +18,Private,152004,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K +27,Private,205188,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +48,Self-emp-not-inc,30840,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,45,United-States,<=50K +63,Private,66634,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,16,United-States,<=50K +38,Self-emp-not-inc,180220,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +31,Private,291052,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,2051,40,United-States,<=50K +40,Self-emp-not-inc,99651,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +41,Private,327723,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,32291,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,2174,0,40,United-States,<=50K +31,Private,345122,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,14084,0,50,United-States,>50K +32,Private,127384,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +30,Private,363296,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,72,United-States,<=50K +39,Local-gov,86551,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,1876,40,United-States,<=50K +28,Private,30070,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +31,Private,595000,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Female,0,0,35,United-States,<=50K +21,?,152328,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +33,?,177824,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,40,United-States,<=50K +44,State-gov,111483,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +22,Private,199555,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,25,United-States,<=50K +42,Private,50018,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K +36,Private,218490,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +39,Private,49020,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,1974,40,United-States,<=50K +61,Private,213321,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,40,United-States,<=50K +31,Private,159187,HS-grad,9,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,83033,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,Germany,<=50K +39,Self-emp-not-inc,31848,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,2829,0,90,United-States,<=50K +34,Self-emp-not-inc,24961,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K +21,Private,182117,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +75,Self-emp-not-inc,146576,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Male,0,0,48,United-States,>50K +21,Private,176690,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K +81,Private,122651,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K +54,Self-emp-inc,149650,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,Canada,<=50K +34,Private,454508,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,Iran,<=50K +54,Self-emp-not-inc,269068,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,99999,0,50,Philippines,>50K +41,Private,266530,HS-grad,9,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,0,0,45,United-States,<=50K +61,?,198542,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +63,Private,133144,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,2580,0,20,United-States,<=50K +24,Private,217961,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,221661,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Mexico,<=50K +44,Local-gov,60735,Bachelors,13,Divorced,Prof-specialty,Own-child,White,Female,0,0,60,United-States,<=50K +47,Self-emp-not-inc,121124,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +31,Private,48588,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,48087,7th-8th,4,Divorced,Craft-repair,Not-in-family,White,Male,0,1590,40,United-States,<=50K +53,Self-emp-not-inc,240138,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +63,Private,273010,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,3471,0,40,United-States,<=50K +44,Private,104196,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +37,Private,230035,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,>50K +28,Private,38918,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Germany,>50K +71,?,205011,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K +57,Private,176079,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,180052,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,10,United-States,<=50K +33,Local-gov,173005,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1848,45,United-States,>50K +30,Private,378723,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,55,United-States,<=50K +20,Private,233624,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,192591,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +54,Private,249860,11th,7,Divorced,Priv-house-serv,Unmarried,Black,Female,0,0,10,United-States,<=50K +20,Private,247564,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +34,Private,238912,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,190227,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +29,State-gov,293287,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Private,180807,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Private,250217,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,70,United-States,<=50K +19,Private,217418,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,38,United-States,<=50K +22,Local-gov,137510,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +59,State-gov,163047,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +18,Private,577521,11th,7,Never-married,Sales,Own-child,White,Male,0,0,13,United-States,<=50K +22,Private,221533,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K +42,Local-gov,255675,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Private,114079,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,155781,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +28,Private,243762,11th,7,Separated,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,113062,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,7,United-States,<=50K +67,Private,217028,Masters,14,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,110723,11th,7,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +47,Federal-gov,191858,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +23,Private,179423,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,5,United-States,<=50K +20,Private,339588,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Peru,<=50K +22,Private,206815,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,Peru,<=50K +47,State-gov,103743,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,235683,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +64,?,207321,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +35,State-gov,197495,Some-college,10,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +52,Federal-gov,424012,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,178469,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +73,Self-emp-inc,92886,10th,6,Widowed,Sales,Unmarried,White,Female,0,0,40,Canada,<=50K +38,Self-emp-not-inc,214008,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +59,Self-emp-not-inc,325732,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,52,United-States,>50K +35,Private,28572,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,4064,0,35,United-States,<=50K +18,Private,118376,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +24,Private,51799,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +33,Local-gov,115488,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,190621,Some-college,10,Divorced,Exec-managerial,Other-relative,Black,Female,0,0,55,United-States,<=50K +55,Private,193568,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,192878,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,264663,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,60,United-States,<=50K +22,Private,234731,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +55,Private,308373,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +45,Private,205644,HS-grad,9,Separated,Tech-support,Not-in-family,White,Female,0,0,26,United-States,<=50K +47,Local-gov,321851,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +56,Private,206399,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,124563,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +32,State-gov,198211,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K +17,Private,130795,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +44,Private,71269,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +32,Self-emp-not-inc,319280,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,80,United-States,<=50K +35,Private,125933,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +27,Private,107236,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,32732,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +68,Private,284763,11th,7,Divorced,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K +20,Private,112668,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +33,Private,376483,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +24,Private,402778,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K +48,Private,36177,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +45,Private,125489,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K +48,Private,304791,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,209205,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +60,?,112821,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,>50K +39,Local-gov,178100,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,70261,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +23,State-gov,186634,12th,8,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,32958,Some-college,10,Separated,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +25,Private,254746,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +52,Private,158746,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,140854,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,51506,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,189564,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,42,United-States,>50K +37,Federal-gov,325538,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +58,Private,213975,Assoc-voc,11,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +67,Self-emp-not-inc,431426,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,2,United-States,<=50K +48,Private,199763,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,8,United-States,<=50K +63,Private,161563,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +24,Local-gov,252024,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,>50K +43,Private,43945,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +36,Private,178487,HS-grad,9,Divorced,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K +32,Private,604506,HS-grad,9,Married-civ-spouse,Transport-moving,Own-child,White,Male,0,0,72,Mexico,<=50K +36,Private,228157,Some-college,10,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K +43,Private,199191,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +27,Private,189775,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +17,Private,171080,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K +45,Private,117310,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,46,United-States,<=50K +41,Self-emp-inc,82049,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,126094,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,<=50K +18,?,202516,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +48,Local-gov,246392,Assoc-acdm,12,Separated,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +51,?,69328,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K +26,Private,292803,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K +54,Private,286989,Preschool,1,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +22,Private,190483,Some-college,10,Divorced,Sales,Own-child,White,Female,0,0,48,Iran,<=50K +19,Private,235849,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,35,United-States,<=50K +47,Private,359766,7th-8th,4,Divorced,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K +32,Private,128016,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +46,Private,360096,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +30,Private,170154,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,>50K +35,Private,337286,Masters,14,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +52,Private,204322,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,5013,0,40,United-States,<=50K +73,Self-emp-not-inc,143833,12th,8,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,18,United-States,<=50K +17,Private,365613,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,10,Canada,<=50K +32,Private,100135,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K +43,Local-gov,180096,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +19,?,371827,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,Portugal,<=50K +26,Private,61270,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Other,Female,0,0,40,Columbia,<=50K +41,Federal-gov,564135,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +49,Private,198759,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K +52,State-gov,303462,Some-college,10,Separated,Protective-serv,Unmarried,White,Male,0,0,40,United-States,<=50K +35,Private,193106,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K +57,Private,250201,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,52,United-States,<=50K +35,Private,200426,Assoc-voc,11,Married-spouse-absent,Prof-specialty,Unmarried,White,Female,0,0,44,United-States,<=50K +33,Private,222654,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Private,53366,7th-8th,4,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +42,Private,132222,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,60,United-States,<=50K +17,Private,100828,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +49,Private,31264,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +39,Private,202027,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +34,Self-emp-not-inc,168906,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K +37,Self-emp-not-inc,255454,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +22,Private,245524,12th,8,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +27,Private,386040,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +21,Private,35424,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +59,?,93655,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,152629,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,3103,0,40,United-States,>50K +53,Self-emp-not-inc,151159,10th,6,Married-spouse-absent,Transport-moving,Not-in-family,White,Male,0,0,99,United-States,<=50K +26,Private,410240,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,138970,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +39,Private,269722,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +34,Private,223678,HS-grad,9,Never-married,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,32,United-States,<=50K +54,State-gov,197184,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,<=50K +36,Private,143486,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,50,United-States,>50K +60,Private,160625,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,40,United-States,<=50K +50,Private,140516,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +48,Local-gov,85341,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +35,Private,108293,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,2205,40,United-States,<=50K +40,Self-emp-not-inc,192507,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +30,Private,186932,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +65,Self-emp-not-inc,223580,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,6514,0,40,United-States,>50K +31,Private,236861,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +46,Local-gov,327886,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +67,?,407618,9th,5,Divorced,?,Not-in-family,White,Female,2050,0,40,United-States,<=50K +62,Self-emp-inc,197060,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,229180,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,Cuba,<=50K +24,Private,284317,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +24,Private,73514,Some-college,10,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,50,Philippines,<=50K +27,Private,47907,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,<=50K +43,State-gov,134782,Assoc-acdm,12,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +48,Private,118831,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,Asian-Pac-Islander,Female,0,0,40,South,<=50K +41,Private,299505,HS-grad,9,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +30,Private,267161,Some-college,10,Married-civ-spouse,Tech-support,Wife,Black,Female,0,0,45,United-States,<=50K +38,Private,119177,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +45,Private,327886,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +45,Private,187730,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +55,Private,109015,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +46,Self-emp-not-inc,110015,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,Greece,<=50K +24,Private,104146,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +31,Local-gov,50442,Some-college,10,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,25,United-States,<=50K +35,Private,57640,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +37,Local-gov,333664,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,224858,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +56,Private,290641,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +60,?,191118,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,1848,40,United-States,>50K +25,Private,34402,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1590,60,United-States,<=50K +33,Private,245378,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,179136,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,116788,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,129699,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Federal-gov,39606,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,England,>50K +44,Self-emp-inc,95150,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +63,Private,102479,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,199191,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K +31,Private,229636,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Mexico,<=50K +26,Private,53833,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,<=50K +37,Self-emp-inc,27997,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +60,?,124487,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,>50K +33,Private,111363,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +38,Private,107630,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,134287,Assoc-voc,11,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +46,Self-emp-inc,283004,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,63,Thailand,<=50K +24,Private,33616,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +47,Local-gov,121124,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +27,Private,188189,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,30,United-States,<=50K +46,Private,106255,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Federal-gov,282830,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K +47,Private,243904,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,Honduras,<=50K +69,Private,165017,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Male,2538,0,40,United-States,<=50K +32,Private,131584,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K +51,Private,427781,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +36,Private,334291,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +50,Local-gov,173224,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +29,Private,87507,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,60,India,<=50K +32,Private,187560,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,3908,0,40,United-States,<=50K +27,Private,204497,10th,6,Divorced,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Male,0,0,75,United-States,<=50K +60,Private,230545,7th-8th,4,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,Cuba,<=50K +31,Private,118161,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,150499,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Local-gov,96554,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +39,Private,288551,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,52,United-States,>50K +69,Self-emp-not-inc,104003,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +54,Self-emp-inc,124963,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +56,Private,198388,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Federal-gov,126204,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,91709,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,45,United-States,<=50K +34,Self-emp-not-inc,152109,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +24,Self-emp-not-inc,191954,7th-8th,4,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K +63,Private,108097,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,10566,0,45,United-States,<=50K +29,Local-gov,289991,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +64,Private,92115,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,320277,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,33610,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,60,United-States,<=50K +36,Private,168276,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,State-gov,175127,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,38,United-States,>50K +37,Private,254973,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,United-States,>50K +37,Private,95336,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,65,United-States,<=50K +63,Private,346975,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,36,United-States,>50K +33,Private,227282,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +19,Private,138153,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +57,Local-gov,174132,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,1977,40,United-States,>50K +31,Private,182237,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,4386,0,45,United-States,>50K +20,?,111252,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +58,Local-gov,217775,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +20,?,168863,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +25,Private,394503,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,141657,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +18,Private,125441,11th,7,Never-married,Other-service,Own-child,White,Male,1055,0,20,United-States,<=50K +26,Private,172230,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,282944,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +45,Local-gov,55377,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K +35,State-gov,49352,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K +32,Private,213887,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,45,United-States,<=50K +61,Self-emp-not-inc,24046,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +26,State-gov,208122,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,15,United-States,<=50K +56,Private,176118,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K +22,Private,227994,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,39,United-States,<=50K +49,Private,215389,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,48,United-States,<=50K +40,Private,99434,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,12,United-States,<=50K +37,Private,190964,HS-grad,9,Separated,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +23,?,113700,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K +28,Private,259840,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +27,Private,168827,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +34,Self-emp-inc,28984,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Private,182211,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +41,Private,82393,Some-college,10,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +28,Private,183639,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,21,United-States,<=50K +38,Private,342448,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +47,State-gov,469907,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1740,40,United-States,<=50K +28,Local-gov,211920,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +44,State-gov,33658,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +41,Federal-gov,34178,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,400630,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,>50K +73,Self-emp-not-inc,161251,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,24,United-States,<=50K +21,Private,255685,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,Outlying-US(Guam-USVI-etc),<=50K +38,Private,199256,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +64,?,143716,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,<=50K +47,Private,221666,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +52,Private,145409,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,60,Canada,>50K +24,Private,39615,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +44,Private,104440,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +27,Private,151382,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,White,Male,0,974,40,United-States,<=50K +61,Self-emp-not-inc,503675,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,>50K +58,Private,306233,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K +51,Private,216475,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,1564,43,United-States,>50K +49,Private,50748,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,55,England,<=50K +23,Private,107190,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K +19,Private,206874,Assoc-voc,11,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +21,Private,83141,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,53,United-States,<=50K +56,Private,444089,11th,7,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,141896,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Federal-gov,33487,Some-college,10,Divorced,Tech-support,Unmarried,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K +41,Private,65372,Doctorate,16,Divorced,Sales,Unmarried,White,Female,0,0,50,United-States,>50K +30,Private,341346,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,343403,Doctorate,16,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,20,?,<=50K +47,Private,287480,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +59,Self-emp-inc,107287,10th,6,Widowed,Exec-managerial,Unmarried,White,Female,0,2559,50,United-States,>50K +55,Private,199067,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,32,United-States,<=50K +22,?,182771,Assoc-voc,11,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K +31,Private,159737,10th,6,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +30,Private,110643,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,4386,0,40,United-States,>50K +24,Private,117583,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,48,United-States,<=50K +49,Self-emp-not-inc,43479,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,203003,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,25,Germany,<=50K +50,Private,133963,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +38,Private,227794,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +20,Self-emp-not-inc,112137,Some-college,10,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,0,20,South,<=50K +49,Self-emp-not-inc,110457,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +45,Private,281565,HS-grad,9,Widowed,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,50,South,<=50K +46,Federal-gov,297906,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K +19,Private,151506,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +31,Federal-gov,139455,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,Cuba,<=50K +38,Private,26987,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +56,Self-emp-not-inc,233312,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +24,Private,161092,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +58,Local-gov,98361,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +28,Private,188928,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,164922,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,185673,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,193598,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Mexico,<=50K +56,Private,274111,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +32,Private,245482,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K +56,Private,160932,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,>50K +50,Private,44368,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +28,?,291374,HS-grad,9,Separated,?,Unmarried,Black,Female,0,0,30,United-States,<=50K +30,Private,280927,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,222993,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +42,Federal-gov,25240,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +31,Self-emp-not-inc,204052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +18,Private,74054,11th,7,Never-married,Sales,Own-child,Other,Female,0,0,20,?,<=50K +46,Private,169042,10th,6,Never-married,Other-service,Not-in-family,White,Female,0,0,25,Ecuador,<=50K +31,Private,104509,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,65,United-States,>50K +38,Local-gov,185394,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,40,United-States,>50K +44,Local-gov,254146,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +55,Self-emp-inc,227856,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,50,United-States,>50K +19,Private,183041,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +45,Private,107682,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +50,Self-emp-inc,287598,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K +53,Private,182186,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Dominican-Republic,<=50K +41,Self-emp-inc,194636,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,65,United-States,>50K +45,Private,112305,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +21,Private,212661,10th,6,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,39,United-States,<=50K +37,Private,32709,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K +42,Federal-gov,46366,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +37,Self-emp-not-inc,24106,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,30,United-States,<=50K +46,Private,170850,Bachelors,13,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,1590,40,?,<=50K +45,Self-emp-not-inc,40666,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +32,Private,182975,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,20,United-States,<=50K +30,Private,345122,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +57,?,208311,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,80,United-States,>50K +37,Private,120045,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,56,United-States,<=50K +18,?,201299,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +32,Private,152940,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +43,Private,243580,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +46,Private,182128,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,6497,0,50,United-States,<=50K +36,?,176458,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,28,United-States,<=50K +33,Private,101562,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,108699,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,175878,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Female,0,0,40,United-States,<=50K +34,Local-gov,177675,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,50,United-States,>50K +33,Private,213887,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,357619,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,60,Germany,<=50K +23,Private,435835,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,1669,55,United-States,<=50K +39,Private,165799,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,71469,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +19,Private,229745,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K +47,Private,284916,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,45,United-States,>50K +46,Private,28419,Assoc-voc,11,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +47,Private,26950,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,0,6,United-States,<=50K +47,Self-emp-not-inc,107231,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +52,Local-gov,512103,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Self-emp-not-inc,245090,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +58,Private,314153,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +32,Private,243988,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +54,Self-emp-not-inc,82551,Assoc-voc,11,Married-civ-spouse,Tech-support,Other-relative,White,Female,0,0,10,United-States,<=50K +20,Private,42706,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,25,United-States,<=50K +25,Private,235795,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K +25,Self-emp-not-inc,108001,9th,5,Never-married,Craft-repair,Not-in-family,White,Male,0,0,15,United-States,<=50K +36,State-gov,112497,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,1876,44,United-States,<=50K +69,Self-emp-not-inc,128206,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,30,United-States,<=50K +28,Private,224634,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +20,Private,362999,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +21,Private,346693,7th-8th,4,Never-married,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K +37,Private,175759,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +21,Private,99199,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,32,United-States,<=50K +25,?,219987,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,13,United-States,<=50K +39,Private,143445,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K +34,Private,118710,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +33,Local-gov,224185,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,118972,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +29,Private,165360,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,38950,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,89,United-States,<=50K +42,Self-emp-inc,277256,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K +29,Private,247151,11th,7,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,213722,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,209955,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +41,Private,174395,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +45,Private,138626,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,1876,50,United-States,<=50K +22,?,179973,Assoc-voc,11,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,200207,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,44,United-States,<=50K +19,Private,156587,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K +24,Private,33016,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,197496,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,?,<=50K +32,Private,153588,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Private,99736,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,15020,0,50,United-States,>50K +36,Private,284166,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,60,United-States,>50K +18,Private,716066,10th,6,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,United-States,<=50K +27,Private,188519,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +26,Private,109080,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +52,Private,174421,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K +24,Private,259351,Some-college,10,Never-married,Craft-repair,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,Mexico,<=50K +42,Federal-gov,284403,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +39,Private,85319,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,60,United-States,>50K +20,?,201766,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +20,State-gov,340475,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +39,Private,487486,HS-grad,9,Widowed,Handlers-cleaners,Unmarried,White,Male,0,0,40,?,<=50K +68,?,484298,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K +35,Private,170617,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,48,United-States,<=50K +54,Private,94055,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,117779,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,209770,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,8,United-States,<=50K +20,Private,317443,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,15,United-States,<=50K +64,?,140237,Preschool,1,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,107411,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +36,Self-emp-not-inc,122493,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,<=50K +44,Self-emp-inc,195124,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,?,<=50K +38,Private,101978,Some-college,10,Separated,Machine-op-inspct,Not-in-family,White,Male,0,2258,55,United-States,>50K +22,Private,335453,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +56,Private,318329,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,100321,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +24,Self-emp-not-inc,81145,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,75,United-States,<=50K +22,Private,62865,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,176262,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,30,United-States,<=50K +42,Private,168103,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +41,Local-gov,208174,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,55,United-States,<=50K +19,Private,188815,HS-grad,9,Never-married,Other-service,Own-child,White,Female,34095,0,20,United-States,<=50K +67,Self-emp-not-inc,226092,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,44,United-States,<=50K +20,Private,212668,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +32,Private,381583,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,<=50K +46,Private,239439,HS-grad,9,Separated,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +52,Private,172493,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,36,United-States,<=50K +44,Private,239876,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Male,0,0,40,United-States,<=50K +65,?,221881,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,40,Mexico,<=50K +37,Local-gov,218184,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +27,Self-emp-not-inc,206889,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,110668,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,35,United-States,<=50K +30,Private,211028,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +64,Local-gov,202984,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,40,United-States,<=50K +48,Private,20296,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,>50K +35,Private,194690,7th-8th,4,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Self-emp-not-inc,204984,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K +63,Self-emp-not-inc,35021,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1977,32,China,>50K +40,Self-emp-not-inc,238574,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +33,Private,345360,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,192381,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +25,Private,479765,7th-8th,4,Never-married,Sales,Other-relative,White,Male,0,0,45,Guatemala,<=50K +45,Self-emp-inc,34091,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K +30,Private,151773,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +53,Private,299080,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +63,Private,135339,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,2105,0,40,Vietnam,<=50K +27,Local-gov,52156,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K +31,Private,318647,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,80145,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +39,State-gov,343646,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,Mexico,>50K +42,Self-emp-not-inc,198692,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +19,Private,266635,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,30,United-States,<=50K +31,Private,197672,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,185846,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,315110,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K +27,Private,220754,Doctorate,16,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,64292,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,126060,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +52,Private,78012,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,1762,40,United-States,<=50K +32,Private,210562,Assoc-voc,11,Divorced,Craft-repair,Own-child,White,Male,0,0,46,United-States,<=50K +23,Private,350181,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,233421,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +53,Private,167170,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +18,Private,260801,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +41,Private,173370,Bachelors,13,Separated,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +27,Private,135520,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Dominican-Republic,<=50K +30,Private,121308,Some-college,10,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,444743,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +21,Private,65225,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +58,State-gov,136982,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,40,Honduras,<=50K +45,State-gov,271962,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,204046,10th,6,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,225823,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,183009,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Other,Female,0,1590,40,United-States,<=50K +50,Private,121038,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K +26,Private,49092,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,148709,HS-grad,9,Separated,Handlers-cleaners,Other-relative,White,Female,0,0,40,United-States,<=50K +27,Private,209205,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +36,Local-gov,285865,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +22,Federal-gov,216129,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K +37,Federal-gov,40955,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,Japan,<=50K +54,Private,197189,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,33001,HS-grad,9,Divorced,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K +44,Private,227399,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K +38,Private,164050,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K +49,Private,259087,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,236262,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K +26,Private,177929,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K +48,Private,166929,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,?,>50K +32,Private,199963,11th,7,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +35,State-gov,98776,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,135056,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +40,Self-emp-not-inc,55363,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3411,0,40,United-States,<=50K +42,State-gov,102343,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,72,India,>50K +30,Private,231263,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,226913,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +36,Private,129573,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +31,Private,191001,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Federal-gov,69345,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +38,Private,204556,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +35,Private,192626,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +45,Private,202812,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +29,Private,405177,10th,6,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,227890,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,46,United-States,>50K +33,Private,101352,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +49,Private,82572,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K +28,Private,132686,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +49,Local-gov,149210,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,15024,0,40,United-States,>50K +27,Private,245661,HS-grad,9,Separated,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +47,Self-emp-inc,483596,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,2885,0,32,United-States,<=50K +42,State-gov,104663,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,Italy,>50K +30,Private,347166,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +37,Local-gov,108540,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,333305,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,<=50K +51,Private,155408,HS-grad,9,Married-spouse-absent,Sales,Not-in-family,Black,Female,0,0,38,United-States,<=50K +27,Federal-gov,246372,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,30290,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,347321,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Self-emp-inc,205852,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +40,Federal-gov,163215,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,?,<=50K +54,State-gov,93449,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K +47,Self-emp-inc,116927,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K +35,Private,164526,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Yugoslavia,>50K +33,Private,31573,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +28,Local-gov,125159,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,40,Haiti,<=50K +39,State-gov,201105,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,>50K +25,?,122745,HS-grad,9,Never-married,?,Own-child,White,Male,0,1602,40,United-States,<=50K +33,Private,150570,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,118941,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,40,Ireland,<=50K +53,Private,141388,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +21,Private,174714,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K +31,State-gov,75755,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,55,United-States,>50K +63,Private,133144,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +21,Self-emp-not-inc,318865,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +59,Private,109638,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +50,Private,92969,1st-4th,2,Separated,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +66,?,376028,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K +19,Private,144161,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K +31,Private,183778,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K +23,Private,398904,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +45,Private,170846,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +35,Local-gov,204277,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,205152,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,225395,7th-8th,4,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,60,Mexico,<=50K +38,Private,33975,HS-grad,9,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,>50K +49,Private,147032,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,8,Philippines,<=50K +64,Private,174826,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +60,Local-gov,232769,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K +25,Private,36984,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +21,Private,292264,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +26,Private,303973,HS-grad,9,Never-married,Priv-house-serv,Other-relative,White,Female,0,1602,15,Mexico,<=50K +23,Private,287988,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,20,United-States,<=50K +67,Self-emp-inc,330144,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K +24,Private,191948,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +46,Private,324601,1st-4th,2,Separated,Machine-op-inspct,Own-child,White,Female,0,0,40,Guatemala,<=50K +38,State-gov,200289,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K +20,Private,113307,7th-8th,4,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +28,?,194087,Some-college,10,Never-married,?,Other-relative,White,Female,0,0,40,United-States,<=50K +26,Private,155213,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,<=50K +58,Private,175127,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,State-gov,358461,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +37,State-gov,354929,Assoc-acdm,12,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,38,United-States,<=50K +53,State-gov,104501,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +45,Private,112929,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,35,United-States,<=50K +33,Private,132832,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +33,State-gov,357691,Masters,14,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K +35,Private,114605,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,25,United-States,<=50K +60,Self-emp-not-inc,525878,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K +21,Private,68358,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +38,Private,174571,10th,6,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,45,United-States,<=50K +40,Private,42703,Assoc-voc,11,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Private,220589,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +44,Self-emp-not-inc,197558,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,>50K +27,Private,423250,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +34,Self-emp-not-inc,29254,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +20,?,308924,Some-college,10,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +49,Local-gov,276247,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,213841,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +52,Private,181677,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,>50K +46,Private,160061,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +20,Private,285295,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Female,0,0,40,?,<=50K +43,Private,265266,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Local-gov,222115,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,99999,0,40,United-States,>50K +25,State-gov,194954,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,<=50K +48,Private,156926,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Local-gov,217414,Some-college,10,Divorced,Protective-serv,Unmarried,White,Male,0,0,55,United-States,<=50K +37,Private,538443,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,14344,0,40,United-States,>50K +18,?,192399,Some-college,10,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K +42,Private,383493,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +60,Private,193235,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,24,United-States,<=50K +37,Self-emp-inc,99452,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K +44,Local-gov,254134,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K +32,Private,90446,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,116613,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Portugal,<=50K +42,Local-gov,238188,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +17,Private,95909,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K +41,Private,82319,12th,8,Married-civ-spouse,Other-service,Wife,White,Female,0,0,10,United-States,<=50K +34,Private,182274,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1887,40,United-States,>50K +56,Private,179625,10th,6,Separated,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K +28,Private,119793,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +28,Self-emp-not-inc,254989,11th,7,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,104830,7th-8th,4,Never-married,Transport-moving,Unmarried,White,Male,0,0,25,Guatemala,<=50K +49,Federal-gov,110373,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +36,Self-emp-not-inc,135416,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,50,United-States,<=50K +25,Private,298225,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K +42,Private,166740,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,213668,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +26,Private,276624,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,226789,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,58,United-States,<=50K +37,Private,31023,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +39,Local-gov,116666,HS-grad,9,Never-married,Protective-serv,Own-child,Amer-Indian-Eskimo,Male,4650,0,48,United-States,<=50K +42,Private,136986,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +41,Private,179580,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,36,United-States,>50K +23,Private,103277,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K +31,Federal-gov,351141,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +36,Local-gov,191161,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,57,United-States,>50K +20,Private,148709,Some-college,10,Never-married,Prof-specialty,Unmarried,White,Female,0,0,25,United-States,<=50K +36,Private,128382,Some-college,10,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,45,United-States,<=50K +50,Private,144361,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +37,Private,172538,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,102476,Bachelors,13,Never-married,Farming-fishing,Own-child,White,Male,27828,0,50,United-States,>50K +39,Private,46028,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,60,United-States,<=50K +32,Private,198452,HS-grad,9,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,40,United-States,<=50K +59,Private,193895,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +29,Private,233421,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,3411,0,45,United-States,<=50K +50,Private,378747,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +42,Private,31251,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,37,United-States,<=50K +32,Private,71540,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,194772,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K +20,Private,34568,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3781,0,35,United-States,<=50K +50,Self-emp-not-inc,36480,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +18,Private,116528,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +60,Private,52152,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +60,Private,216690,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K +42,Local-gov,227065,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,22,United-States,<=50K +49,Private,84013,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +35,Self-emp-inc,82051,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +30,Self-emp-not-inc,176185,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,Iran,<=50K +59,Private,115414,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +24,Self-emp-inc,493034,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,13550,0,50,United-States,>50K +55,Private,354923,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,393712,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +39,Private,98941,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,141483,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,172479,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +21,Private,226145,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +23,Private,394612,Bachelors,13,Never-married,Tech-support,Own-child,Black,Male,0,0,40,United-States,<=50K +22,Private,231085,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +55,Self-emp-not-inc,183810,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +19,Private,186159,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,162282,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,25,United-States,<=50K +46,Private,219021,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,44,United-States,>50K +23,Private,273206,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,23,United-States,<=50K +47,Self-emp-inc,332355,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +23,Private,102729,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +42,Private,198096,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +22,State-gov,292933,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +18,Private,135924,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +37,Private,99146,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +34,Private,27409,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,299507,Assoc-acdm,12,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +62,Self-emp-not-inc,102631,Some-college,10,Widowed,Farming-fishing,Unmarried,White,Female,0,0,50,United-States,<=50K +51,Private,153486,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,434292,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,30,United-States,<=50K +28,Self-emp-not-inc,240172,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +56,Private,219426,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,295791,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,30,United-States,<=50K +46,Private,114032,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,1887,45,United-States,>50K +23,Local-gov,496382,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,40,Guatemala,<=50K +33,Private,376483,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,30,United-States,<=50K +27,Private,107218,HS-grad,9,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +21,Private,246207,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K +18,?,80564,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K +36,Private,83089,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,Mexico,>50K +37,Local-gov,328301,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K +39,Local-gov,301614,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,199739,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,60,United-States,>50K +24,Private,180060,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,2354,0,40,United-States,<=50K +26,Private,121040,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K +37,Private,125550,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K +34,Private,170772,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +33,Private,180551,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Self-emp-not-inc,48189,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,30,United-States,<=50K +20,Private,432154,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,8,Mexico,<=50K +26,Private,263200,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +47,Private,123207,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K +17,Private,110798,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +53,Private,238481,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,40,United-States,<=50K +31,Private,185528,Some-college,10,Divorced,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +34,Private,181311,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,528616,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +39,Private,272950,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +22,?,195532,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +21,Private,197583,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +40,Private,48612,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K +54,Local-gov,31533,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K +32,Federal-gov,148138,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,2002,40,Iran,<=50K +29,Local-gov,30069,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,2635,0,40,United-States,<=50K +68,?,170182,Some-college,10,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +27,Local-gov,230885,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K +54,Private,174102,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +23,Private,352606,HS-grad,9,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,241153,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +54,Private,155433,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K +21,Private,109414,Some-college,10,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,1974,40,United-States,<=50K +40,Private,125461,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,42,United-States,<=50K +19,Private,331556,10th,6,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,?,138575,HS-grad,9,Never-married,?,Other-relative,White,Male,0,0,60,United-States,<=50K +35,Private,223514,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +39,Private,115418,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,2174,0,45,United-States,<=50K +38,Private,193026,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,1408,40,?,<=50K +41,Private,147206,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +26,Private,174592,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,268620,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K +70,Self-emp-not-inc,150886,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K +45,Private,112362,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +83,Private,195507,HS-grad,9,Widowed,Protective-serv,Not-in-family,White,Male,0,0,55,United-States,<=50K +59,Private,192983,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,120544,9th,5,Never-married,Other-service,Own-child,Black,Male,0,0,15,United-States,<=50K +31,Private,59083,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,208277,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +24,Local-gov,184678,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,278736,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +48,Local-gov,39464,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,52,United-States,<=50K +27,Private,162343,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Dominican-Republic,<=50K +41,Private,204046,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,255647,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,Mexico,<=50K +53,Private,123011,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,>50K +66,Self-emp-not-inc,291362,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +31,Private,159187,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +30,State-gov,126414,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,227626,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Self-emp-inc,173783,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K +74,Private,211075,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +37,Private,176756,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,1485,70,United-States,>50K +35,Self-emp-not-inc,31095,Some-college,10,Separated,Farming-fishing,Not-in-family,White,Male,4101,0,60,United-States,<=50K +51,Self-emp-not-inc,32372,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,70,United-States,<=50K +40,Private,331651,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Local-gov,146325,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +26,Private,515025,10th,6,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,United-States,<=50K +53,Private,394474,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +32,Private,400535,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3781,0,40,United-States,<=50K +29,Self-emp-not-inc,337505,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K +42,Private,211860,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,102684,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,32,United-States,<=50K +62,?,225657,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K +33,Private,121966,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,396790,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,20,United-States,<=50K +46,Local-gov,149949,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +25,Private,252187,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,209934,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +29,Federal-gov,229300,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,<=50K +33,Private,170769,Doctorate,16,Divorced,Sales,Not-in-family,White,Male,99999,0,60,United-States,>50K +50,Private,200618,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,216984,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +40,Private,212760,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,150309,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,45,United-States,<=50K +54,Private,174655,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,109621,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,225124,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +46,Private,172695,11th,7,Widowed,Other-service,Not-in-family,White,Female,0,0,27,El-Salvador,<=50K +71,Self-emp-not-inc,238479,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,8,United-States,<=50K +27,Private,37754,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K +56,Private,85018,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +64,Private,256466,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,60,Philippines,>50K +23,Private,169188,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,<=50K +36,Private,210945,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +39,Local-gov,287031,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +26,Private,224361,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Federal-gov,108464,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,75826,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,120277,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +25,Private,104439,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +27,Private,56870,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,200819,12th,8,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Self-emp-not-inc,170562,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,20,United-States,<=50K +30,Private,80933,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,33088,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Local-gov,112763,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,7430,0,36,United-States,>50K +29,Private,177651,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +31,Private,261943,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,169785,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,Italy,<=50K +20,Private,141481,11th,7,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,50,United-States,<=50K +37,Private,433491,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +28,Local-gov,86615,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,30,United-States,<=50K +39,Private,125550,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +46,State-gov,421223,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,26999,Bachelors,13,Separated,Exec-managerial,Unmarried,White,Female,0,0,42,United-States,<=50K +36,Self-emp-not-inc,241998,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,99999,0,20,United-States,>50K +34,?,133861,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K +44,Private,115323,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +34,Self-emp-inc,23778,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +28,Self-emp-not-inc,190836,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +38,Self-emp-inc,159179,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +64,?,205479,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K +19,?,47713,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,163237,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K +61,Private,202202,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,168837,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,112271,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,52537,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Male,0,0,30,United-States,<=50K +27,Private,38353,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +22,Private,141698,10th,6,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +26,Private,28856,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,175652,11th,7,Never-married,Other-service,Other-relative,White,Female,0,0,15,United-States,<=50K +36,Private,213008,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Private,196501,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,14084,0,50,United-States,>50K +63,Private,118798,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K +51,Private,92463,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +20,State-gov,125165,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +42,Self-emp-not-inc,103980,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +40,?,180362,Bachelors,13,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,53903,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,179735,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K +41,?,277390,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,30,United-States,>50K +49,Private,122177,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,80,United-States,<=50K +46,Private,188161,HS-grad,9,Separated,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +32,Self-emp-not-inc,170108,HS-grad,9,Separated,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +28,Private,175262,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,Mexico,<=50K +19,?,204441,HS-grad,9,Never-married,?,Other-relative,Black,Male,0,0,20,United-States,<=50K +19,Private,164395,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +18,Private,115630,11th,7,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K +39,Private,178815,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K +60,Self-emp-not-inc,168223,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +46,Local-gov,202560,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,1408,40,United-States,<=50K +38,Private,100295,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,50,Canada,>50K +36,Private,172256,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,>50K +45,Private,51664,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +60,State-gov,358893,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,2339,40,United-States,<=50K +30,Private,115963,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,333910,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,43,United-States,<=50K +23,Private,148948,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +48,State-gov,130561,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,24,United-States,<=50K +46,Private,428350,HS-grad,9,Married-civ-spouse,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +43,Private,188808,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +25,Private,112847,HS-grad,9,Married-civ-spouse,Transport-moving,Own-child,Other,Male,0,0,40,United-States,<=50K +50,Private,110748,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +61,Self-emp-inc,156653,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K +35,Private,196491,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +65,Local-gov,254413,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Private,91262,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,45,United-States,<=50K +43,Self-emp-not-inc,154785,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,80,Thailand,<=50K +55,Private,84231,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +22,Private,226327,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +40,Private,248406,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,32,United-States,<=50K +35,Private,54317,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1672,50,United-States,<=50K +22,?,32732,Some-college,10,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K +20,Private,95918,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +46,Local-gov,375675,12th,8,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,>50K +43,Private,244172,HS-grad,9,Separated,Transport-moving,Unmarried,White,Male,0,0,40,Mexico,<=50K +46,Federal-gov,233555,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,?,<=50K +39,Private,326342,11th,7,Married-civ-spouse,Other-service,Husband,Black,Male,2635,0,37,United-States,<=50K +34,Private,77271,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,20,England,<=50K +35,Private,33397,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +30,Private,446358,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,41,United-States,<=50K +25,Private,151810,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,28,United-States,<=50K +44,Private,125461,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +35,Private,133906,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,155106,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +43,Federal-gov,203637,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K +32,Private,232766,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Private,305319,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,121023,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +29,Private,198997,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K +38,Private,167140,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,70,United-States,>50K +20,Private,38772,10th,6,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,50,United-States,<=50K +41,Private,253759,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +27,Private,130067,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,65,United-States,<=50K +37,Private,203828,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +62,State-gov,221558,Masters,14,Separated,Prof-specialty,Unmarried,White,Female,0,0,24,?,<=50K +31,Private,156464,10th,6,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Private,72333,Some-college,10,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +33,Local-gov,83671,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,50,United-States,<=50K +31,Private,339482,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,40,United-States,>50K +19,Private,91928,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,35,United-States,<=50K +44,Private,99203,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,Self-emp-inc,455995,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,>50K +62,Private,192515,HS-grad,9,Widowed,Farming-fishing,Unmarried,White,Female,0,0,40,United-States,<=50K +65,Self-emp-not-inc,111483,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2174,10,United-States,>50K +17,Private,221129,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +60,Private,85413,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,>50K +31,Private,196125,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,265638,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +53,Private,177727,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +44,Private,205822,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +43,Private,112607,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +40,Federal-gov,177595,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1579,40,United-States,<=50K +18,Private,183315,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,10,United-States,<=50K +47,Private,116279,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,43,United-States,<=50K +38,Federal-gov,122493,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,4064,0,40,United-States,<=50K +37,Private,215419,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,United-States,<=50K +40,Private,310101,Some-college,10,Separated,Sales,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +57,Self-emp-inc,61885,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,60,United-States,>50K +43,Private,59107,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,4101,0,40,United-States,<=50K +32,Private,227214,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,40,Ecuador,<=50K +64,Private,239450,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,118847,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +40,Self-emp-not-inc,95226,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +17,?,659273,11th,7,Never-married,?,Own-child,Black,Female,0,0,40,Trinadad&Tobago,<=50K +23,Private,215395,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,170600,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +45,Self-emp-not-inc,91044,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,15,United-States,<=50K +27,Private,318639,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,60,Mexico,<=50K +23,Private,160398,Some-college,10,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +58,Self-emp-not-inc,216824,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K +35,Private,308945,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,75,United-States,<=50K +47,Private,30840,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +33,Private,99309,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +27,Private,188576,Bachelors,13,Separated,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +46,Private,83064,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +24,Private,403865,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,<=50K +40,Private,235786,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K +44,Private,191893,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K +31,Local-gov,149184,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,97,United-States,>50K +37,Private,152909,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,40,United-States,>50K +23,Private,435604,Assoc-voc,11,Separated,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +30,Self-emp-inc,109282,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K +31,Private,248178,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,35,United-States,<=50K +24,?,112683,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,32,United-States,<=50K +32,Private,209103,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3464,0,40,United-States,<=50K +27,Private,183639,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +35,Local-gov,107233,HS-grad,9,Never-married,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Male,0,0,55,United-States,<=50K +27,Private,175387,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1876,40,United-States,<=50K +30,Self-emp-not-inc,178255,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,?,<=50K +33,Self-emp-not-inc,38223,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,70,United-States,<=50K +34,Private,228873,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +29,Private,202182,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +26,Local-gov,425092,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,2174,0,40,United-States,<=50K +39,Self-emp-not-inc,152587,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +37,Self-emp-inc,39089,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,50,United-States,>50K +51,Private,204304,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +40,Private,116103,Some-college,10,Separated,Craft-repair,Unmarried,White,Male,4934,0,47,United-States,>50K +53,Private,290640,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +58,Federal-gov,81973,Some-college,10,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,1485,40,United-States,>50K +29,Private,134890,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +33,Private,452924,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Mexico,<=50K +57,Private,245193,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +69,State-gov,34339,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,184756,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K +56,Private,392160,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,25,Mexico,<=50K +49,Private,168337,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,309513,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +70,Private,77219,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,37,United-States,<=50K +44,Private,212888,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +37,Private,361888,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,10520,0,40,United-States,>50K +58,Local-gov,237879,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,58,United-States,<=50K +42,Self-emp-not-inc,93099,Some-college,10,Married-civ-spouse,Prof-specialty,Own-child,White,Female,0,0,25,United-States,<=50K +41,Private,225193,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,50814,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Local-gov,123681,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,60,United-States,>50K +24,Private,249351,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +58,Self-emp-not-inc,222311,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,7688,0,55,United-States,>50K +18,Private,301762,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +50,Private,195298,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +69,Private,541737,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,2050,0,24,United-States,<=50K +84,Private,241065,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,66,United-States,<=50K +47,Private,129513,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +19,Private,374262,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +24,Private,382146,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +48,?,185291,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K +53,Private,30447,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K +58,Private,49893,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +22,Private,197387,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,24,Mexico,<=50K +36,Self-emp-not-inc,111957,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,United-States,<=50K +34,Private,340458,12th,8,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,185670,1st-4th,2,Widowed,Prof-specialty,Unmarried,White,Female,0,0,21,Mexico,<=50K +37,Private,210945,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,24,United-States,<=50K +43,Private,350661,Prof-school,15,Separated,Tech-support,Not-in-family,White,Male,0,0,50,Columbia,>50K +42,Private,190543,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K +21,Private,70261,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +49,Self-emp-not-inc,179048,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,Greece,<=50K +35,Private,242094,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,117634,Some-college,10,Widowed,Craft-repair,Unmarried,White,Female,0,0,30,United-States,<=50K +28,Private,82531,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +51,Private,193374,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +30,?,186420,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,323605,7th-8th,4,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,>50K +56,Private,371064,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,39927,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,8,United-States,<=50K +22,Private,64292,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,37,United-States,<=50K +33,Private,198660,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,99999,0,56,United-States,>50K +54,?,196975,HS-grad,9,Divorced,?,Other-relative,White,Male,0,0,45,United-States,<=50K +22,Private,210165,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +68,Private,144137,Some-college,10,Divorced,Priv-house-serv,Other-relative,White,Female,0,0,30,United-States,<=50K +56,Local-gov,155657,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +23,?,72953,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +69,Self-emp-not-inc,107548,9th,5,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,163258,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,221324,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +18,Private,444822,11th,7,Never-married,Sales,Own-child,White,Female,0,0,8,Mexico,<=50K +17,Private,154398,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,16,Haiti,<=50K +31,Private,120672,11th,7,Divorced,Handlers-cleaners,Other-relative,Black,Male,0,1721,40,United-States,<=50K +50,Private,159650,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,>50K +62,Private,290754,10th,6,Widowed,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,49654,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,52,United-States,<=50K +20,Federal-gov,147352,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,227943,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +18,Private,423024,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K +53,?,64322,7th-8th,4,Separated,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,445940,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +23,Private,230824,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,48882,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +47,Private,168195,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +53,Local-gov,188644,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +28,Private,136077,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,State-gov,119793,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,336513,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +58,Private,186991,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +25,?,218948,7th-8th,4,Never-married,?,Not-in-family,White,Female,0,0,32,Mexico,<=50K +26,Private,211435,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,280169,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,3456,0,8,United-States,<=50K +27,Private,109997,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,286789,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +25,Private,102460,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,287160,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +39,Private,198097,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +52,Private,119111,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,174461,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +26,Self-emp-not-inc,281678,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K +24,?,377725,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,151053,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +49,Local-gov,186539,Masters,14,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +20,?,149478,Some-college,10,Never-married,?,Other-relative,White,Female,0,0,25,United-States,<=50K +40,Private,198452,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,198863,Prof-school,15,Divorced,Exec-managerial,Not-in-family,White,Male,0,2559,60,United-States,>50K +33,Private,176711,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,165310,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Other-relative,White,Male,0,0,20,United-States,<=50K +37,Private,213008,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Japan,<=50K +21,State-gov,38251,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,20,United-States,<=50K +33,Private,125761,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,36,United-States,<=50K +28,Private,148645,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,273435,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1579,40,United-States,<=50K +43,Private,208613,Bachelors,13,Separated,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,192565,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,183885,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +47,Self-emp-not-inc,243631,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K +37,Private,191754,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +26,Private,261278,Some-college,10,Separated,Sales,Other-relative,Black,Male,0,0,30,United-States,<=50K +55,Private,127014,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K +40,Private,197919,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,217460,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +39,Private,86551,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +54,Self-emp-inc,98051,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,54,United-States,>50K +38,Private,215917,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +53,Self-emp-not-inc,192982,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,85,United-States,<=50K +27,Self-emp-not-inc,334132,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,78,United-States,<=50K +42,Private,136986,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +62,Private,116812,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,189123,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1485,58,United-States,<=50K +26,Private,89648,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +33,?,190027,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,20,United-States,<=50K +59,Private,99248,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,57600,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +25,Private,199224,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +58,Private,140363,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,36,United-States,<=50K +30,Private,308812,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K +21,Private,275421,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K +61,Private,213321,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,157747,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,182314,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +70,Private,220589,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,12,United-States,<=50K +55,?,208640,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K +29,Self-emp-not-inc,189346,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,2202,0,50,United-States,<=50K +46,Private,124071,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,44,United-States,<=50K +35,Federal-gov,20469,Some-college,10,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +31,Private,154227,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,>50K +37,Private,105044,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K +43,Private,35910,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,43,United-States,>50K +23,Private,189203,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,116493,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,13550,0,44,United-States,>50K +42,Local-gov,19700,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +26,Private,48718,10th,6,Never-married,Adm-clerical,Not-in-family,White,Female,2907,0,40,United-States,<=50K +45,Private,106113,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +25,Private,256263,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +33,?,202498,7th-8th,4,Separated,?,Not-in-family,White,Male,0,0,40,Guatemala,<=50K +38,Private,120074,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +28,Private,122922,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +68,Self-emp-not-inc,116903,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2149,40,United-States,<=50K +42,Local-gov,222596,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +35,Private,107302,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,India,<=50K +36,Private,156400,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,53373,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +22,Private,58916,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +45,Local-gov,167159,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,>50K +24,Private,283806,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,Private,140426,1st-4th,2,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,35,?,<=50K +36,Local-gov,61778,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +41,Private,33310,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Self-emp-not-inc,202560,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K +25,Self-emp-not-inc,60828,Some-college,10,Never-married,Farming-fishing,Own-child,White,Female,0,0,50,United-States,<=50K +53,State-gov,153486,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +28,Local-gov,167536,Assoc-acdm,12,Widowed,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +30,Local-gov,370990,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Self-emp-not-inc,198867,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Local-gov,174924,Some-college,10,Divorced,Protective-serv,Unmarried,White,Male,0,0,48,Germany,<=50K +30,Private,175856,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,<=50K +41,Private,169628,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,?,<=50K +29,?,125159,Some-college,10,Never-married,?,Not-in-family,Black,Male,0,0,36,?,<=50K +31,Private,220690,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,80,United-States,<=50K +36,Private,160035,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3908,0,55,United-States,<=50K +59,Self-emp-not-inc,116878,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Greece,<=50K +33,Self-emp-not-inc,134737,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +29,Private,81648,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1887,55,United-States,>50K +49,State-gov,122177,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +50,Federal-gov,69614,10th,6,Separated,Craft-repair,Not-in-family,White,Male,0,0,56,United-States,<=50K +33,Private,112115,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,45,United-States,>50K +28,Private,299422,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +81,?,162882,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +24,Private,112854,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,16,United-States,<=50K +32,Self-emp-not-inc,33417,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +47,Federal-gov,224559,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K +44,?,468706,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K +24,Private,357028,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +37,Local-gov,51158,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,7298,0,36,United-States,>50K +51,Private,186303,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +52,Private,127749,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +22,Private,291386,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,138054,Assoc-acdm,12,Never-married,Other-service,Not-in-family,Other,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,174533,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,200835,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,108658,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +43,Private,180985,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +25,Private,34803,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K +59,Private,75867,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +29,Private,156819,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K +30,Private,61272,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Portugal,<=50K +24,Private,39827,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,Other,Female,0,0,40,Puerto-Rico,<=50K +38,Private,130007,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,80324,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +26,Private,322614,Preschool,1,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,1719,40,Mexico,<=50K +30,Private,140869,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +73,Local-gov,181902,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,10,Poland,>50K +30,Private,287908,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +33,Private,309630,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,28225,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,58,United-States,<=50K +40,?,428584,HS-grad,9,Married-civ-spouse,?,Wife,Black,Female,3464,0,20,United-States,<=50K +18,Private,39222,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,359131,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7298,0,8,?,>50K +22,Private,122272,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +50,Self-emp-inc,198400,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,<=50K +62,?,73091,7th-8th,4,Widowed,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K +39,Self-emp-inc,283338,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +22,Private,208946,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,348416,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Private,379046,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +29,Private,183887,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,127961,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +24,Private,211129,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +29,Local-gov,187649,HS-grad,9,Separated,Protective-serv,Other-relative,White,Female,0,0,40,United-States,<=50K +49,Federal-gov,94754,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +33,Private,231826,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +28,Private,142764,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,48,United-States,<=50K +22,Private,126822,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,60,United-States,<=50K +37,Private,188069,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,284395,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +49,Private,31267,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,161444,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Columbia,<=50K +25,Private,144483,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,133655,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +36,State-gov,112074,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +21,Private,249727,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,22,United-States,<=50K +18,Private,165754,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +30,Local-gov,172822,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,288433,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +40,Private,33331,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +43,Private,168071,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,<=50K +45,Private,207277,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +29,Private,130620,Some-college,10,Married-spouse-absent,Sales,Own-child,Asian-Pac-Islander,Female,0,0,26,India,<=50K +40,Private,136244,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +43,Private,972354,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,48,United-States,<=50K +20,Private,245297,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +32,State-gov,71151,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,<=50K +19,Private,118352,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +21,Private,117210,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,120068,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,48343,11th,7,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +52,Private,84451,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K +51,?,76437,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,281704,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +54,Private,123011,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +50,Private,104729,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,White,Female,0,0,48,United-States,<=50K +29,Private,110134,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,Private,186067,10th,6,Never-married,Tech-support,Own-child,White,Male,0,0,10,United-States,<=50K +47,Private,214702,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,37,Puerto-Rico,<=50K +46,Private,384795,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,32,United-States,<=50K +30,Private,175931,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,44,United-States,<=50K +58,Private,366324,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K +48,Private,118717,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +23,Private,219835,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,Mexico,<=50K +23,Private,176486,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,36,United-States,<=50K +45,Private,273435,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,182661,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,20,United-States,<=50K +26,Private,212304,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,48,United-States,<=50K +50,Local-gov,133963,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,>50K +49,Private,165152,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K +26,Private,274724,Some-college,10,Never-married,Other-service,Other-relative,White,Male,0,0,40,Nicaragua,<=50K +47,Private,196707,Prof-school,15,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,213002,12th,8,Never-married,Sales,Not-in-family,White,Male,4650,0,50,United-States,<=50K +19,?,26620,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +23,Private,361481,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K +35,Private,148581,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K +46,Private,459189,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,50,United-States,>50K +28,Self-emp-not-inc,214689,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Private,289364,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,45,United-States,>50K +21,Private,174907,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +50,Self-emp-not-inc,348099,10th,6,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +30,?,104965,9th,5,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +31,Private,31600,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Self-emp-not-inc,286282,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K +35,Self-emp-not-inc,181705,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K +33,Private,238912,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +34,Private,134737,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,55,United-States,>50K +67,?,157403,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,6418,0,10,United-States,>50K +37,Private,197429,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,>50K +48,Private,47343,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +34,Federal-gov,67083,Bachelors,13,Never-married,Exec-managerial,Unmarried,Asian-Pac-Islander,Male,1471,0,40,Cambodia,<=50K +24,Private,249957,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +55,Private,175942,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,40,France,<=50K +50,Private,192982,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,1848,40,United-States,>50K +40,Private,209547,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,60,United-States,>50K +33,Private,142675,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K +51,Federal-gov,190333,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,196396,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,166740,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +47,Local-gov,174533,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +27,Private,210867,7th-8th,4,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,?,<=50K +37,Private,118486,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,4934,0,32,United-States,>50K +40,Private,144067,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,106964,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,178136,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +38,Private,196554,Prof-school,15,Separated,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,>50K +40,Self-emp-not-inc,403550,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,498216,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Self-emp-not-inc,192755,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,20,United-States,>50K +20,?,53738,Some-college,10,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K +33,Private,156192,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +45,Private,189802,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +66,?,213149,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,1825,40,United-States,>50K +35,Self-emp-not-inc,179171,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,38,Germany,<=50K +32,Private,77634,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +23,Private,189830,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,50,United-States,<=50K +19,Private,127190,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +44,?,174147,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,138107,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,35,United-States,<=50K +44,Self-emp-inc,269733,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +41,State-gov,227734,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,3464,0,40,United-States,<=50K +19,Private,318822,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +48,Private,48885,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +45,Private,205424,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K +40,Private,173858,7th-8th,4,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,42,Cambodia,<=50K +34,Private,202450,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +20,Private,154779,Some-college,10,Never-married,Sales,Other-relative,Other,Female,0,0,40,United-States,<=50K +33,Private,180551,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,177522,HS-grad,9,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +23,Private,277328,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,32,Cuba,<=50K +34,Private,112584,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K +48,State-gov,85384,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +32,?,123971,11th,7,Divorced,?,Not-in-family,White,Female,0,0,49,United-States,<=50K +42,Private,69019,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +22,Private,112847,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +60,Self-emp-not-inc,52900,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K +42,Private,37937,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +45,Private,59380,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +47,Private,114770,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K +29,Private,216481,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +34,Private,176469,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K +34,Private,176831,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K +39,Federal-gov,410034,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,93662,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,24,United-States,<=50K +42,Self-emp-inc,144236,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +48,Private,240917,11th,7,Separated,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K +53,Private,608184,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1902,40,United-States,>50K +51,Private,243361,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +44,Self-emp-not-inc,35166,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,90,United-States,<=50K +46,Self-emp-inc,182655,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +51,Private,142717,Doctorate,16,Divorced,Craft-repair,Not-in-family,White,Female,4787,0,60,United-States,>50K +32,Private,272944,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,?,219233,HS-grad,9,Never-married,?,Own-child,Black,Male,0,1602,30,United-States,<=50K +24,Private,228686,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K +33,Private,236818,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,26,United-States,<=50K +47,Self-emp-not-inc,117865,HS-grad,9,Married-AF-spouse,Craft-repair,Husband,White,Male,0,0,90,United-States,<=50K +64,Self-emp-not-inc,106538,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +62,Private,153891,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +52,Private,190909,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +39,Private,191002,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,Poland,<=50K +42,Private,89073,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K +38,Federal-gov,238342,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,42,United-States,>50K +55,Private,259532,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +29,?,189282,HS-grad,9,Married-civ-spouse,?,Not-in-family,White,Female,0,0,27,United-States,<=50K +42,Private,132481,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,24,United-States,<=50K +30,Private,205659,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,Thailand,>50K +32,Private,182323,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,?,216256,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,3464,0,30,United-States,<=50K +50,Federal-gov,166419,11th,7,Never-married,Sales,Not-in-family,Black,Female,3674,0,40,United-States,<=50K +27,Private,152246,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +47,Private,155659,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +33,Private,155198,9th,5,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,35,United-States,<=50K +48,Self-emp-not-inc,100931,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,162945,7th-8th,4,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +31,Federal-gov,334346,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +26,Private,181597,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +61,Self-emp-not-inc,133969,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,63,South,<=50K +50,Private,210217,Bachelors,13,Divorced,Sales,Unmarried,Black,Male,0,0,40,United-States,<=50K +49,Private,169711,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Germany,>50K +57,?,300104,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,7298,0,84,United-States,>50K +19,Private,271521,HS-grad,9,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,24,United-States,<=50K +18,Private,51255,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K +44,Self-emp-not-inc,26669,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,99,United-States,<=50K +54,Private,194580,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +35,State-gov,177974,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +27,State-gov,315640,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,20,China,<=50K +50,Self-emp-inc,136913,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +43,State-gov,230961,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,167062,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +47,Private,120131,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,243368,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,Mexico,<=50K +30,Private,171876,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +19,Private,136866,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K +40,Private,316820,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,1485,40,United-States,<=50K +55,Private,185459,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +67,?,81761,HS-grad,9,Divorced,?,Own-child,White,Male,0,0,20,United-States,<=50K +31,Private,43716,Assoc-voc,11,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,43,United-States,<=50K +30,Private,220939,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,?,148657,Preschool,1,Married-civ-spouse,?,Wife,White,Female,0,0,40,Mexico,<=50K +51,Federal-gov,40808,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,0,0,43,United-States,<=50K +34,Private,183473,HS-grad,9,Divorced,Transport-moving,Own-child,White,Female,0,0,40,United-States,<=50K +59,Private,108496,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +50,Private,204838,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K +29,Private,132686,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +17,State-gov,117906,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,304386,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +52,?,248113,Preschool,1,Married-spouse-absent,?,Other-relative,White,Male,0,0,40,Mexico,<=50K +39,Private,165215,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,18,United-States,>50K +18,?,215463,12th,8,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K +32,Private,259719,Some-college,10,Divorced,Handlers-cleaners,Unmarried,Black,Male,0,0,40,Nicaragua,<=50K +25,?,35829,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,50,United-States,<=50K +34,Private,248795,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,45,United-States,<=50K +44,Self-emp-not-inc,124692,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +37,Local-gov,128054,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Private,179731,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,2415,65,United-States,>50K +32,Self-emp-inc,113543,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +23,Private,252153,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K +45,Federal-gov,45891,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Male,0,0,42,United-States,<=50K +30,Private,112263,11th,7,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,47791,12th,8,Divorced,Other-service,Not-in-family,White,Female,0,0,10,United-States,<=50K +41,Private,202980,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,4,Peru,<=50K +21,Private,34918,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +48,Private,91251,7th-8th,4,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,30,China,<=50K +31,Private,132996,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,45,United-States,>50K +34,Private,306215,Assoc-voc,11,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +25,Private,203570,HS-grad,9,Separated,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,355918,Bachelors,13,Separated,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +35,Self-emp-not-inc,198841,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +42,Private,282964,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Self-emp-not-inc,312197,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,75,Mexico,>50K +44,Private,98779,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,60,United-States,<=50K +32,Private,200246,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +25,Private,182771,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +23,Private,199908,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,172104,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Other,Male,0,0,40,India,>50K +53,Self-emp-not-inc,35295,Bachelors,13,Never-married,Sales,Unmarried,White,Male,0,0,60,United-States,>50K +27,Private,216858,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,52,United-States,<=50K +27,Private,332187,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,65,United-States,<=50K +57,Private,255109,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +17,Private,111332,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +59,Local-gov,238431,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +34,Private,131552,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +30,Private,110239,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +31,State-gov,255830,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Black,Female,0,0,45,United-States,<=50K +18,?,175648,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,82998,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +19,Private,164320,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +20,Self-emp-not-inc,263498,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +52,Self-emp-not-inc,162381,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Local-gov,229651,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +27,Private,357348,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K +19,Private,269657,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +38,Local-gov,82880,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,15,United-States,<=50K +19,Private,389755,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K +34,Private,195136,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,40,United-States,>50K +41,Private,207685,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,?,<=50K +23,Private,222925,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Own-child,White,Female,2105,0,40,United-States,<=50K +24,?,196388,Assoc-acdm,12,Never-married,?,Not-in-family,White,Male,0,0,12,United-States,<=50K +24,Private,50341,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,214134,10th,6,Never-married,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Male,0,0,84,United-States,<=50K +45,Private,114032,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +45,Private,192053,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +48,Private,240231,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,>50K +42,Private,44402,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +35,Self-emp-not-inc,191503,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,163530,HS-grad,9,Divorced,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +51,Local-gov,136823,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,32,United-States,<=50K +59,Private,121912,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +31,Local-gov,58624,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +27,Local-gov,74056,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K +29,Private,144259,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,4386,0,80,?,>50K +57,Private,182028,Assoc-acdm,12,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +40,Private,209040,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,206046,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,182494,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,185057,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,35,Scotland,<=50K +60,Private,147473,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +53,Local-gov,221722,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,14344,0,50,United-States,>50K +20,?,388811,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +27,Private,221912,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,48189,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +29,State-gov,382272,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,48347,Bachelors,13,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,143046,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1564,38,United-States,>50K +63,Self-emp-inc,137940,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +28,Private,249571,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +79,Private,121318,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,20,United-States,<=50K +39,Private,224531,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +29,Private,185019,12th,8,Never-married,Other-service,Not-in-family,Other,Male,0,0,40,United-States,<=50K +60,Private,27886,7th-8th,4,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Private,94741,12th,8,Married-civ-spouse,Other-service,Wife,White,Female,0,0,24,United-States,<=50K +20,Private,107801,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,2205,18,United-States,<=50K +44,Private,191256,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,>50K +47,Private,256866,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K +59,Private,197148,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,24,United-States,>50K +37,Private,312271,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,<=50K +21,Private,118657,HS-grad,9,Separated,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +68,Private,224338,Assoc-voc,11,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,242488,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,5013,0,40,United-States,<=50K +23,?,234970,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K +23,Private,227915,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Female,0,0,33,United-States,<=50K +40,Local-gov,105717,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,1876,35,United-States,<=50K +45,Self-emp-not-inc,160962,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +34,?,353881,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,3103,0,60,United-States,>50K +22,Private,188950,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,201328,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +24,Private,218678,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,49,United-States,<=50K +23,Private,184255,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +39,Federal-gov,200968,Some-college,10,Married-civ-spouse,Adm-clerical,Other-relative,White,Male,0,0,45,United-States,>50K +26,Private,102264,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,300584,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +22,Private,208946,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K +36,Private,105021,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +20,Private,124751,Some-college,10,Never-married,Priv-house-serv,Own-child,White,Female,0,0,20,United-States,<=50K +18,Private,274057,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,8,United-States,<=50K +38,Private,132879,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +43,Self-emp-inc,260960,Bachelors,13,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,35,United-States,<=50K +56,Private,208415,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,40,?,<=50K +42,Private,356934,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +35,Private,154410,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +31,Private,35378,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +73,Private,301210,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1735,20,United-States,<=50K +32,Private,73621,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,42,United-States,<=50K +37,Private,108140,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K +66,Private,217198,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,10,United-States,<=50K +22,Private,157332,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +51,Private,202956,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,173495,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +65,Private,149811,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,2206,59,Canada,<=50K +39,Private,444219,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,Black,Female,0,0,45,United-States,<=50K +48,Private,125120,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,37,United-States,<=50K +20,Private,190429,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,?,190303,Assoc-acdm,12,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K +48,Private,248164,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,4386,0,50,United-States,>50K +29,Federal-gov,208534,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,<=50K +36,Self-emp-not-inc,343721,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,?,>50K +35,Self-emp-inc,196373,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +31,Private,433788,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +48,State-gov,122086,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,137314,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K +40,Self-emp-not-inc,33068,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +57,Private,210688,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,United-States,<=50K +26,Local-gov,117833,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,4865,0,35,United-States,<=50K +37,State-gov,103474,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +65,Private,115880,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +26,Self-emp-not-inc,233933,10th,6,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K +42,Private,52781,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,586657,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Japan,>50K +62,Private,113080,7th-8th,4,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,251905,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Male,0,0,50,United-States,<=50K +76,Self-emp-not-inc,225964,Some-college,10,Widowed,Sales,Not-in-family,White,Male,0,0,8,United-States,<=50K +20,?,194096,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,263831,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,133136,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +32,Private,121634,10th,6,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Mexico,<=50K +22,Self-emp-inc,40767,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Federal-gov,355789,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,50,United-States,<=50K +43,Local-gov,311914,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,91189,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +44,Federal-gov,344060,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +41,Private,113823,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,State-gov,185800,Masters,14,Divorced,Prof-specialty,Unmarried,Black,Female,7430,0,40,United-States,>50K +30,Private,76107,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,>50K +23,Private,117618,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +39,Private,238008,HS-grad,9,Widowed,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +32,Private,136480,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +50,Private,285200,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,35,United-States,>50K +19,Private,351040,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Puerto-Rico,<=50K +35,Private,1226583,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K +23,Private,195767,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,187540,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,79372,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,226665,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,42,United-States,>50K +52,Private,213209,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +49,Private,211005,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,60,United-States,<=50K +24,Private,96178,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +46,Private,328216,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +39,Private,110713,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +45,Self-emp-not-inc,225456,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +62,Local-gov,159908,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1258,38,United-States,<=50K +43,Private,118308,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +45,Private,180309,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +62,Self-emp-not-inc,39630,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,273828,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K +56,Private,172071,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,Jamaica,<=50K +28,Private,218887,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Female,0,0,35,United-States,<=50K +23,Private,664670,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +43,Private,209149,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +26,Private,84619,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +36,Private,447346,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +55,Local-gov,37869,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +48,State-gov,99086,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +43,Private,143582,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,2129,72,?,<=50K +38,Private,326886,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +18,Private,181755,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +56,Self-emp-not-inc,249368,HS-grad,9,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,<=50K +39,Self-emp-not-inc,326400,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,504725,5th-6th,3,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,50,Mexico,<=50K +36,Private,88967,11th,7,Never-married,Transport-moving,Unmarried,Amer-Indian-Eskimo,Male,0,0,65,United-States,<=50K +42,Self-emp-not-inc,170721,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2002,40,United-States,<=50K +50,Private,148953,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +17,Private,342752,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +57,Private,220871,7th-8th,4,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +73,Private,29675,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,0,0,12,United-States,<=50K +50,Federal-gov,183611,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,115215,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,45,United-States,<=50K +27,Private,152231,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +24,?,41356,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,225142,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +23,Self-emp-not-inc,121313,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,134821,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +51,Private,311350,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +26,Private,102106,10th,6,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +47,Private,427055,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,Mexico,<=50K +40,Private,117860,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +58,Private,285885,9th,5,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,212800,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,194864,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,18,United-States,<=50K +36,Private,31438,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,43,United-States,<=50K +46,Private,148254,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +69,Private,113035,1st-4th,2,Widowed,Priv-house-serv,Not-in-family,Black,Female,0,0,4,United-States,<=50K +69,Private,106595,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,1848,0,40,United-States,<=50K +28,Private,144521,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +20,Private,172232,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,48,United-States,<=50K +54,State-gov,123592,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,3887,0,35,United-States,<=50K +25,Private,191921,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +64,Local-gov,237379,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3471,0,40,United-States,<=50K +17,Private,208463,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +53,Federal-gov,68985,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,22418,9th,5,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +57,Private,163047,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,38,United-States,<=50K +51,Private,153870,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2603,40,United-States,<=50K +20,?,124954,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +47,Private,197702,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,166415,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,52,United-States,<=50K +50,State-gov,116211,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,United-States,>50K +20,Private,33644,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +43,State-gov,33331,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,70,United-States,>50K +46,Private,73019,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +54,Private,169182,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,Puerto-Rico,<=50K +53,Private,20438,Some-college,10,Separated,Exec-managerial,Unmarried,Amer-Indian-Eskimo,Female,0,0,15,United-States,<=50K +21,Private,109869,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K +58,Private,316849,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,208043,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +61,Private,153790,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +56,State-gov,153451,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +59,Private,96840,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +72,Private,192732,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,20,United-States,<=50K +33,Private,209101,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,146919,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +46,Local-gov,192323,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,>50K +48,Private,217019,HS-grad,9,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,28,United-States,<=50K +33,Private,198211,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,222490,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +27,Private,106758,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +31,Private,561334,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,203710,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Local-gov,203322,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +51,Private,123703,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,40,United-States,>50K +46,State-gov,312015,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +25,Private,209428,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,El-Salvador,<=50K +61,Private,230292,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,40,United-States,>50K +17,Private,114420,11th,7,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +26,Private,120238,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K +35,Private,100375,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +33,Self-emp-not-inc,42485,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +37,Private,130620,12th,8,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,0,33,?,<=50K +39,Local-gov,134367,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +42,Private,147099,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +35,Private,36214,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,47,United-States,>50K +45,Private,119904,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,50,United-States,>50K +47,Self-emp-inc,105779,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,>50K +64,Private,165020,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +39,Private,187098,Prof-school,15,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,47,United-States,>50K +43,?,142030,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,241360,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K +62,Private,121319,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K +53,Private,151580,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +31,Private,162572,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,35917,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +56,Self-emp-inc,35723,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +43,Private,194773,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,62155,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,35,United-States,<=50K +45,Self-emp-not-inc,192203,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,40,United-States,>50K +46,Private,174370,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K +26,Private,161007,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,80,United-States,<=50K +24,Private,270517,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,Mexico,<=50K +43,Private,163847,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K +40,Private,193882,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +61,Private,160037,7th-8th,4,Divorced,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +34,Federal-gov,189944,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,72,United-States,<=50K +85,Private,115364,HS-grad,9,Widowed,Sales,Unmarried,White,Male,0,0,35,United-States,<=50K +41,Private,163174,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,State-gov,188900,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,3325,0,35,United-States,<=50K +22,Private,214399,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +60,Private,156616,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +29,Private,204862,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K +34,?,55921,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +35,State-gov,172475,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,2977,0,45,United-States,<=50K +24,Private,153082,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +45,Local-gov,195418,Masters,14,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +21,Local-gov,276840,12th,8,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K +30,Private,97933,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Wife,White,Female,0,1485,37,United-States,>50K +50,Self-emp-inc,119099,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,99,United-States,>50K +41,Self-emp-not-inc,83411,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +21,Private,198992,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,33,United-States,<=50K +45,Private,337825,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +34,Private,192002,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +28,Private,189346,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,231962,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +26,Private,164488,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,13550,0,50,United-States,>50K +48,Private,200471,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +69,Private,228921,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Male,0,2282,40,United-States,>50K +41,Private,184846,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,233851,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,499001,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,Mexico,<=50K +65,Local-gov,125768,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,28,United-States,<=50K +31,Private,255004,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1741,38,United-States,<=50K +28,Private,157624,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Private,146767,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +45,Private,118291,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,80,United-States,<=50K +43,Private,313181,HS-grad,9,Divorced,Adm-clerical,Other-relative,Black,Male,0,0,38,United-States,<=50K +31,Private,87891,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +31,Private,226443,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +45,Private,81132,Some-college,10,Married-civ-spouse,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +20,Private,216436,Bachelors,13,Never-married,Sales,Other-relative,Black,Female,0,0,30,United-States,<=50K +25,Private,213412,Bachelors,13,Never-married,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K +36,Private,179358,HS-grad,9,Widowed,Handlers-cleaners,Unmarried,White,Female,0,0,30,United-States,<=50K +31,Private,369825,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,4101,0,50,United-States,<=50K +56,Private,199763,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +26,Private,239390,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,18,United-States,<=50K +47,Self-emp-not-inc,173613,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,65,United-States,<=50K +40,Self-emp-inc,37869,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,302845,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,48,United-States,<=50K +34,State-gov,85218,Masters,14,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,24,United-States,<=50K +37,Private,48268,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +38,Private,173968,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +19,Private,70982,Assoc-voc,11,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,16,United-States,<=50K +49,Private,166857,9th,5,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,?,256191,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,25,United-States,<=50K +26,Private,162872,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +82,Private,152148,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,2,United-States,<=50K +40,Private,139193,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,791084,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +23,Private,137214,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,37,United-States,<=50K +19,Private,183258,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +67,Private,154035,HS-grad,9,Widowed,Handlers-cleaners,Other-relative,Black,Male,0,0,32,United-States,<=50K +43,Private,115323,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,40,United-States,>50K +41,Private,213055,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Other,Female,0,0,50,United-States,<=50K +37,Private,155064,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +20,Private,33551,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,169995,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +47,Private,168262,Masters,14,Separated,Exec-managerial,Not-in-family,White,Male,99999,0,50,United-States,>50K +40,Private,104196,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +39,State-gov,114055,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,274398,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K +78,?,27979,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2228,0,32,United-States,<=50K +67,?,244122,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,1,United-States,<=50K +49,Private,196571,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +66,Private,101607,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,10,United-States,<=50K +52,Private,122109,HS-grad,9,Never-married,Prof-specialty,Unmarried,White,Female,0,323,40,United-States,<=50K +59,Self-emp-inc,255822,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +72,Private,195184,HS-grad,9,Widowed,Priv-house-serv,Unmarried,White,Female,0,0,12,Cuba,<=50K +35,Federal-gov,245372,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,169583,Bachelors,13,Married-AF-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +36,Private,224531,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,186151,HS-grad,9,Separated,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +23,Private,118693,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +39,Private,297449,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +40,Self-emp-not-inc,125206,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,393264,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,108140,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K +63,Private,264968,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Self-emp-not-inc,318106,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +30,Private,156025,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +38,State-gov,149455,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +25,Private,359985,5th-6th,3,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,33,Mexico,<=50K +44,State-gov,165108,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +43,Private,115178,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +21,Private,149224,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K +41,Local-gov,352056,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,174717,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +75,?,173064,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K +29,Private,147755,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,40,United-States,<=50K +52,Self-emp-not-inc,135716,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +47,Private,44216,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +28,Private,37359,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K +24,Private,178255,Some-college,10,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,40,?,<=50K +30,State-gov,70617,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,10,China,<=50K +30,Private,154950,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +40,Private,356934,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +27,Private,271714,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +26,Private,247025,HS-grad,9,Never-married,Protective-serv,Unmarried,White,Male,0,0,44,United-States,<=50K +32,Private,107417,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,37,United-States,<=50K +36,State-gov,116554,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,917220,12th,8,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K +25,Private,430084,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +39,Private,202937,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,Poland,<=50K +27,Private,62737,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,508548,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +38,Self-emp-inc,275223,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K +35,Self-emp-not-inc,381931,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K +29,Private,246974,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Private,105431,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +36,Private,146311,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,159869,Doctorate,16,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +21,Private,204641,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,66297,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K +38,Private,227615,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +66,?,107744,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,360393,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K +19,Private,263340,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +18,Private,141918,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,22,United-States,<=50K +37,Private,294292,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,128736,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Local-gov,511289,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,>50K +27,Private,302406,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +34,Local-gov,101517,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +54,State-gov,161334,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,China,<=50K +24,Self-emp-inc,189148,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,103111,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +48,Self-emp-not-inc,51620,Bachelors,13,Separated,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +23,Private,31606,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,34292,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,38,United-States,<=50K +21,Private,107882,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,9,United-States,<=50K +18,Private,39529,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K +18,Private,135315,9th,5,Never-married,Sales,Own-child,Other,Female,0,0,32,United-States,<=50K +29,Private,107812,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,229729,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,111891,HS-grad,9,Separated,Machine-op-inspct,Other-relative,Black,Female,0,0,40,United-States,<=50K +32,Private,340917,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +61,Private,202952,10th,6,Divorced,Other-service,Not-in-family,Black,Female,0,0,24,United-States,<=50K +79,Private,333230,HS-grad,9,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,6,United-States,<=50K +34,Private,114955,Assoc-acdm,12,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,159869,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +50,Self-emp-not-inc,57758,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +29,Private,207064,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,193090,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,3674,0,40,United-States,<=50K +64,Private,151364,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +70,Local-gov,88638,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,7896,0,50,United-States,>50K +28,Local-gov,304960,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,1980,40,United-States,<=50K +51,Private,102828,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Greece,<=50K +20,?,210029,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +34,State-gov,154246,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,4865,0,55,United-States,<=50K +29,Private,142519,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +49,Private,104455,Bachelors,13,Married-spouse-absent,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +77,Self-emp-inc,192230,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,292592,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +27,Private,330132,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K +22,Private,51111,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Local-gov,258037,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Cuba,>50K +42,Local-gov,188291,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,40,United-States,>50K +35,State-gov,349066,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +62,?,191188,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,133503,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,2635,0,16,United-States,<=50K +45,Private,146497,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,<=50K +19,Private,240468,Some-college,10,Married-spouse-absent,Sales,Own-child,White,Female,0,1602,40,United-States,<=50K +38,Private,175120,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,416577,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,45,United-States,<=50K +29,Private,253814,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +33,Private,159247,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +35,Self-emp-not-inc,102471,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,80,Puerto-Rico,<=50K +42,Private,213464,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,211968,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +43,Federal-gov,32016,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +69,Private,512992,11th,7,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,45,United-States,<=50K +39,Private,135020,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,109133,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Portugal,<=50K +28,Private,142712,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Federal-gov,76900,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,112176,Some-college,10,Divorced,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +43,Federal-gov,262233,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +49,Private,122066,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,Hungary,<=50K +28,Private,194690,7th-8th,4,Separated,Other-service,Own-child,White,Male,0,0,60,Mexico,<=50K +35,Private,306678,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2885,0,40,United-States,<=50K +19,?,217769,Some-college,10,Never-married,?,Own-child,White,Female,594,0,10,United-States,<=50K +35,Local-gov,308945,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +57,Private,46699,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +45,Private,377757,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,220993,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,1590,48,United-States,<=50K +45,Private,102147,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,113770,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +35,Private,139012,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +45,Private,148900,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +28,Federal-gov,329426,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +64,Self-emp-inc,181408,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,10,United-States,<=50K +44,Local-gov,101950,Prof-school,15,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +59,Self-emp-not-inc,32537,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +41,Private,209547,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,202373,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,25,United-States,<=50K +29,Self-emp-not-inc,151476,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,2174,0,40,United-States,<=50K +51,Self-emp-not-inc,174824,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,8614,0,40,United-States,>50K +22,Private,138768,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +49,Private,143482,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +53,Private,200190,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,>50K +38,Private,168407,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,5721,0,44,United-States,<=50K +23,Private,148315,Some-college,10,Separated,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,270517,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,Mexico,<=50K +40,Private,53506,Bachelors,13,Divorced,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,105693,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,189589,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,164574,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +37,Private,185744,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,20,United-States,<=50K +40,Local-gov,33155,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,215955,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,40,United-States,>50K +38,Self-emp-not-inc,233571,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,211253,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Federal-gov,191385,Assoc-acdm,12,Divorced,Protective-serv,Not-in-family,White,Male,2174,0,40,United-States,<=50K +20,Private,137895,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +62,State-gov,159699,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K +31,Private,295922,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Self-emp-not-inc,175856,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +24,Private,216129,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +62,Local-gov,407669,7th-8th,4,Widowed,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K +43,Local-gov,214242,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +21,Private,285457,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,50,United-States,<=50K +30,Self-emp-inc,124420,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,4650,0,40,United-States,<=50K +22,?,246386,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +18,Private,142751,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,Local-gov,283635,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Self-emp-not-inc,322931,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,40,United-States,>50K +49,Private,76482,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,State-gov,431745,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +48,Private,141944,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,40,United-States,>50K +32,Private,193042,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K +33,Private,67006,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,45,United-States,<=50K +23,Private,240398,Bachelors,13,Never-married,Sales,Not-in-family,Black,Male,0,0,15,United-States,<=50K +33,Federal-gov,182714,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,65,United-States,>50K +50,Federal-gov,172046,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +30,Private,185177,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,<=50K +32,Private,102858,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2002,42,United-States,<=50K +39,Private,84954,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,2829,0,65,United-States,<=50K +21,Private,115895,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +23,Private,184589,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,21,United-States,<=50K +32,Private,282611,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,Private,218649,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +22,State-gov,157541,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,10,United-States,<=50K +70,Private,145419,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,5,United-States,<=50K +34,Private,122616,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,84,United-States,>50K +53,Private,204584,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,117210,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K +37,Private,69481,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Self-emp-not-inc,148492,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,50,United-States,>50K +23,Private,106957,11th,7,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,14344,0,40,Vietnam,>50K +32,Private,29312,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,>50K +57,Private,120302,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +65,?,111916,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,182227,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K +30,Private,219110,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K +31,Private,200192,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,Germany,<=50K +19,Private,427862,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +23,State-gov,33551,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,<=50K +44,Private,164043,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +43,?,116632,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,>50K +42,Private,175133,Some-college,10,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +34,Self-emp-not-inc,289731,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,256362,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +25,Private,282612,Assoc-voc,11,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +21,Private,73679,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +31,Private,237824,HS-grad,9,Married-spouse-absent,Priv-house-serv,Other-relative,Black,Female,0,0,60,Jamaica,<=50K +36,Local-gov,357720,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Self-emp-not-inc,155489,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,Poland,<=50K +44,Private,138077,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K +42,Private,183479,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +30,Private,103596,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,99,United-States,<=50K +33,Private,172304,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,313853,Bachelors,13,Divorced,Other-service,Unmarried,Black,Male,0,0,45,United-States,>50K +17,Private,294485,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +20,Private,637080,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K +32,Private,385959,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +33,Self-emp-not-inc,116539,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,129263,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,60,United-States,<=50K +60,Private,141253,10th,6,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,48,United-States,<=50K +35,State-gov,35626,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,15,United-States,<=50K +43,Federal-gov,94937,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +46,Private,220269,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +29,Self-emp-not-inc,169544,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,40,United-States,>50K +36,Private,214604,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,42,United-States,>50K +27,Private,81540,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +50,Private,24013,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,84,United-States,>50K +22,Private,124940,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Amer-Indian-Eskimo,Female,0,0,44,United-States,<=50K +33,State-gov,313729,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +61,Private,192237,10th,6,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +28,?,168524,Assoc-voc,11,Married-civ-spouse,?,Own-child,White,Female,0,0,40,United-States,<=50K +41,Self-emp-not-inc,113324,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,>50K +22,Private,215477,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,199903,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,431861,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,105938,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,1602,20,United-States,<=50K +28,Private,274679,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +25,Private,177499,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,1590,35,United-States,<=50K +28,Private,206125,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Local-gov,221740,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,>50K +58,Private,202652,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K +39,Private,348960,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,171876,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +59,Private,157932,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +58,Private,201344,Bachelors,13,Divorced,Craft-repair,Own-child,White,Female,0,0,20,United-States,<=50K +38,Private,354739,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,36,Philippines,>50K +34,Private,40067,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,326862,Some-college,10,Divorced,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +48,Local-gov,189762,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +65,?,149049,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,226246,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K +80,?,29020,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,10605,0,10,United-States,>50K +23,Private,38251,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +33,Private,196385,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,37,United-States,>50K +38,Self-emp-not-inc,217054,Some-college,10,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,104973,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +48,Local-gov,238959,Masters,14,Divorced,Exec-managerial,Unmarried,Black,Female,9562,0,40,United-States,>50K +40,State-gov,34218,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,Local-gov,292962,HS-grad,9,Never-married,Craft-repair,Other-relative,Black,Female,0,0,40,United-States,<=50K +45,Private,235924,Bachelors,13,Divorced,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,98656,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +70,Private,102610,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,80,United-States,<=50K +32,Local-gov,296466,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +33,Private,323069,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,184756,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Local-gov,233993,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K +22,Private,130724,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,25,United-States,<=50K +52,Self-emp-inc,181855,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Other,Male,99999,0,65,United-States,>50K +67,Self-emp-not-inc,127543,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,2414,0,80,United-States,<=50K +40,Private,187164,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,45,United-States,<=50K +55,Private,113912,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,<=50K +29,Private,216479,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +62,Private,135480,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,16,United-States,<=50K +22,Private,204160,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +64,State-gov,114650,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Self-emp-not-inc,240172,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Male,0,0,50,United-States,<=50K +28,Private,184831,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,124590,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,<=50K +47,State-gov,120429,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +26,Private,202033,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +18,Private,156874,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,27,United-States,<=50K +52,Self-emp-inc,177727,10th,6,Married-civ-spouse,Sales,Husband,White,Male,4064,0,45,United-States,<=50K +48,Local-gov,334409,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +36,Private,311255,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,Haiti,<=50K +23,Private,214227,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +41,Private,115849,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +56,State-gov,671292,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,United-States,>50K +53,Private,31460,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,141824,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,310152,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,3325,0,40,United-States,<=50K +25,Private,179953,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,2597,0,31,United-States,<=50K +31,Private,137952,Some-college,10,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,Puerto-Rico,<=50K +36,Private,103323,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2829,0,40,United-States,<=50K +46,Private,174426,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +46,State-gov,192779,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Male,0,2258,38,United-States,>50K +32,Private,169955,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,36,Puerto-Rico,<=50K +43,Self-emp-not-inc,48087,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K +30,Private,132601,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K +41,Self-emp-inc,253060,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,45,United-States,>50K +50,Private,108435,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,60,United-States,>50K +37,State-gov,210452,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,<=50K +22,Local-gov,134181,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,50,United-States,<=50K +51,Federal-gov,45487,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,<=50K +47,Private,183522,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,>50K +40,Private,199303,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,83064,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +23,?,134997,Some-college,10,Separated,?,Unmarried,White,Female,0,0,20,United-States,<=50K +30,Private,44419,Some-college,10,Never-married,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Self-emp-not-inc,442612,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K +31,Local-gov,158092,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +31,Private,374833,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +30,Private,112650,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +50,Local-gov,183390,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +27,Private,207418,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +22,?,335453,Some-college,10,Never-married,?,Own-child,White,Female,0,0,16,United-States,<=50K +29,Private,243660,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +28,Private,54243,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +54,Private,50385,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,45,United-States,>50K +47,State-gov,187581,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,>50K +34,Private,37380,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Private,247025,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,?,29231,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K +23,State-gov,101094,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,60,United-States,<=50K +42,Local-gov,176716,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,118429,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +52,Federal-gov,221532,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K +22,?,120572,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +27,Local-gov,124680,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,153160,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Private,114678,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,5455,0,40,United-States,<=50K +49,State-gov,142856,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +36,Private,29702,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K +20,Private,277700,Preschool,1,Never-married,Other-service,Own-child,White,Male,0,0,32,United-States,<=50K +55,Self-emp-inc,67433,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +47,Private,121124,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,394447,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,33,United-States,>50K +36,Private,79649,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,203763,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Female,0,0,80,United-States,<=50K +55,Private,229029,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,48,United-States,>50K +21,?,494638,Assoc-acdm,12,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K +48,Private,162816,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +30,Private,109117,Assoc-voc,11,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K +24,Private,32732,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +57,Self-emp-not-inc,217692,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Female,0,0,38,United-States,<=50K +20,Private,34590,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K +18,?,276864,Some-college,10,Never-married,?,Own-child,White,Female,0,1602,20,United-States,<=50K +56,Private,168625,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,4101,0,40,United-States,<=50K +36,Private,91037,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +44,Private,171484,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +57,Private,200453,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,40,United-States,>50K +57,Private,36990,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,52,United-States,<=50K +33,Private,198211,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +61,?,30475,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +39,Private,70995,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,99,United-States,>50K +28,Private,245790,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,273324,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,1721,16,United-States,<=50K +60,Private,182687,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Local-gov,247807,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K +58,Private,163113,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,35,United-States,>50K +50,Private,180522,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,38,United-States,<=50K +23,Local-gov,203353,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,12,United-States,<=50K +30,Private,87469,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,?,216563,11th,7,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K +90,Private,87372,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,72,United-States,>50K +49,Local-gov,173584,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +47,Local-gov,80282,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3137,0,40,United-States,<=50K +34,Private,319854,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Taiwan,>50K +37,Federal-gov,408229,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,431307,10th,6,Married-civ-spouse,Protective-serv,Wife,Black,Female,0,0,50,United-States,<=50K +37,Private,134088,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,246396,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K +34,Private,159255,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +34,Private,106014,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,186934,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +39,Private,120130,Some-college,10,Separated,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +32,State-gov,203849,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,19,United-States,<=50K +24,Private,207940,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K +28,Private,302406,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +41,Self-emp-not-inc,144594,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2179,40,United-States,<=50K +69,?,171050,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,9,United-States,<=50K +32,Private,459007,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,90,United-States,<=50K +58,Private,372181,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,>50K +47,Self-emp-not-inc,172034,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,75,United-States,>50K +41,Private,156566,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,50,United-States,>50K +35,Self-emp-inc,338320,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +24,Private,353696,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,Canada,<=50K +46,Self-emp-not-inc,342907,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,>50K +69,Self-emp-inc,169717,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,6418,0,45,United-States,>50K +22,Private,103762,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +36,State-gov,47570,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,119432,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +23,Local-gov,144165,Bachelors,13,Never-married,Prof-specialty,Own-child,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K +35,Private,180647,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +37,Local-gov,312232,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,5178,0,40,United-States,>50K +35,State-gov,150488,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,200876,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,16,United-States,<=50K +43,Private,188199,9th,5,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +53,State-gov,118793,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +54,Local-gov,204325,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,<=50K +29,Private,256671,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +46,Private,231515,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,47,Cuba,<=50K +24,Private,100669,Some-college,10,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K +30,Private,88913,Some-college,10,Separated,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +23,Private,363219,Some-college,10,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,6,United-States,<=50K +27,?,291547,Bachelors,13,Married-civ-spouse,?,Not-in-family,Other,Female,0,0,6,Mexico,<=50K +36,Private,308945,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,100316,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +33,Private,296453,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,15,United-States,<=50K +66,Private,298834,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Canada,<=50K +45,Self-emp-not-inc,188694,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +68,?,29240,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,12,United-States,<=50K +37,Private,186934,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K +17,Private,154908,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +31,Private,22201,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K +46,Private,216999,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K +40,Private,186916,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,116677,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,95763,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +42,Private,266710,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,41,United-States,<=50K +46,Private,117849,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +30,Private,242460,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +33,Self-emp-not-inc,202729,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +47,Private,181652,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +57,Self-emp-not-inc,174760,Assoc-acdm,12,Married-spouse-absent,Farming-fishing,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +34,Private,56121,11th,7,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +40,Private,390369,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,149726,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +22,Private,51262,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,190350,12th,8,Never-married,Other-service,Unmarried,Black,Female,0,0,35,?,<=50K +53,Federal-gov,205288,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,35,United-States,>50K +36,Private,154835,HS-grad,9,Separated,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +45,Private,89028,HS-grad,9,Divorced,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,10520,0,40,United-States,>50K +36,Private,194630,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +18,Self-emp-not-inc,212207,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,11,United-States,<=50K +27,Private,204788,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,158688,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,97723,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +36,Private,193026,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +36,Self-emp-not-inc,257250,7th-8th,4,Never-married,Farming-fishing,Own-child,White,Male,0,0,75,United-States,<=50K +48,Private,355978,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,200574,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K +21,Private,376929,5th-6th,3,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,Mexico,<=50K +47,State-gov,123219,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +41,Private,82778,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +61,Self-emp-not-inc,115882,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +64,Private,103021,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,297767,Some-college,10,Separated,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +44,Private,259479,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,50,United-States,<=50K +20,Private,167787,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +23,Local-gov,40021,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,70,United-States,<=50K +52,Private,245275,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K +43,Private,37402,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,25,United-States,<=50K +32,Private,103608,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +63,Private,137192,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K +29,Private,137618,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,41,United-States,>50K +42,Self-emp-inc,96509,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,Taiwan,<=50K +65,Private,196174,10th,6,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,28,United-States,<=50K +24,Private,172612,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,141186,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,228190,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +40,Self-emp-inc,190290,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,?,>50K +38,Federal-gov,307404,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Private,152436,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +46,Self-emp-not-inc,182541,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1672,50,United-States,<=50K +39,Private,282153,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +29,?,41281,Bachelors,13,Married-spouse-absent,?,Not-in-family,White,Male,0,0,50,United-States,<=50K +42,Private,162003,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,36,United-States,>50K +36,Private,190759,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +26,Private,208122,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K +57,Private,173832,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K +55,Private,129173,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +35,Private,287548,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +41,Private,216116,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,?,<=50K +24,Private,146706,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +47,Private,285200,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Self-emp-inc,314375,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +44,Private,203943,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,35,United-States,>50K +18,?,274746,HS-grad,9,Never-married,?,Unmarried,White,Female,0,0,20,United-States,<=50K +27,Private,517000,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,35,United-States,<=50K +36,Private,66173,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +21,Private,182823,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +29,Private,159479,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Other,Male,0,0,55,United-States,<=50K +25,Private,135568,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +73,Private,333676,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +45,Private,201699,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +28,Private,96020,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K +43,Private,176138,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +47,Private,47496,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,<=50K +20,Private,187158,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +22,Private,249727,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K +76,Self-emp-not-inc,237624,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,10,United-States,<=50K +24,Private,175254,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,42924,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,205950,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +33,Private,111985,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,58,United-States,<=50K +30,Private,167476,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K +40,Private,221172,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +27,?,188711,Some-college,10,Divorced,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +49,Private,199448,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,313038,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,148431,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Other,Female,0,0,40,United-States,<=50K +19,Private,112432,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,58,United-States,<=50K +46,Private,57914,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,145166,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +56,Private,247119,7th-8th,4,Widowed,Machine-op-inspct,Unmarried,Other,Female,0,0,40,Dominican-Republic,<=50K +53,Private,196278,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +60,?,366531,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,216481,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,188027,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +37,Private,66686,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +41,Private,74775,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,30,Vietnam,<=50K +65,?,325537,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K +30,Self-emp-not-inc,250499,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,55,United-States,>50K +57,Self-emp-not-inc,192869,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K +44,Self-emp-inc,121352,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +32,Self-emp-not-inc,70985,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,4064,0,40,United-States,<=50K +27,Self-emp-not-inc,123116,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +57,Local-gov,339163,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K +59,Self-emp-not-inc,124771,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +32,Private,167531,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,15024,0,50,United-States,>50K +90,?,77053,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,4356,40,United-States,<=50K +22,Private,199266,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K +39,Private,190728,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,99212,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,48,United-States,>50K +38,Local-gov,421446,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,>50K +61,Private,215944,9th,5,Divorced,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K +24,Private,72310,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,43,United-States,<=50K +25,Private,57512,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +44,Private,89413,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Local-gov,28151,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K +90,Private,46786,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,9386,0,15,United-States,>50K +30,Private,226943,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +44,Private,182402,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +36,Private,305352,10th,6,Divorced,Craft-repair,Other-relative,Black,Male,0,0,40,United-States,<=50K +63,Self-emp-inc,189253,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +60,Private,296485,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +34,Self-emp-not-inc,204375,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,>50K +49,Self-emp-not-inc,249585,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K +47,Private,148995,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +42,Self-emp-inc,168071,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,43,United-States,>50K +53,Private,194995,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Italy,<=50K +23,Private,211049,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,4101,0,40,United-States,<=50K +28,?,196630,Assoc-voc,11,Separated,?,Unmarried,White,Female,0,0,40,Mexico,<=50K +20,Private,50397,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,35,United-States,<=50K +43,Private,177905,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3908,0,40,United-States,<=50K +32,Private,204374,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K +43,Private,60001,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,44,United-States,>50K +31,Private,223046,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +29,?,44921,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +24,Private,154571,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K +39,Private,67136,Assoc-voc,11,Separated,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +29,Private,188675,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Jamaica,>50K +20,Private,390817,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,25,Mexico,<=50K +23,?,145964,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,30424,11th,7,Separated,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K +53,Private,548361,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,189148,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,<=50K +58,Self-emp-not-inc,266707,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2179,18,United-States,<=50K +51,Self-emp-not-inc,311569,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,187653,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,48,United-States,<=50K +38,Private,235379,Assoc-acdm,12,Never-married,Prof-specialty,Unmarried,White,Female,0,0,36,United-States,<=50K +41,Private,188615,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +58,Private,322691,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +25,Private,184698,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Dominican-Republic,<=50K +50,Private,144361,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,130057,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +31,Self-emp-inc,117963,Doctorate,16,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,123876,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +37,Private,248445,HS-grad,9,Divorced,Handlers-cleaners,Other-relative,White,Male,0,0,40,El-Salvador,<=50K +32,Private,207172,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K +46,State-gov,119904,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,1564,55,United-States,>50K +62,Private,134768,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +40,Local-gov,269168,HS-grad,9,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,?,<=50K +56,Private,132026,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,7688,0,45,United-States,>50K +37,Private,60722,Some-college,10,Divorced,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Japan,>50K +41,Private,648223,1st-4th,2,Married-spouse-absent,Farming-fishing,Unmarried,White,Male,0,0,40,Mexico,<=50K +56,Private,298695,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +20,Private,219835,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K +34,Self-emp-not-inc,313729,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +45,Private,140644,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +30,Private,203488,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +51,Self-emp-not-inc,132341,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +27,Private,161683,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,<=50K +38,Private,312771,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +39,Private,258102,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +57,?,24127,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +47,Private,254367,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +77,?,185426,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K +43,Private,152629,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +46,Local-gov,141058,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K +41,Private,233130,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +20,Private,406641,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +30,State-gov,119422,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,255486,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,25,United-States,<=50K +22,Private,161532,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +25,Private,75759,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,>50K +18,Private,163332,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,22,United-States,<=50K +28,Private,103802,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,1408,40,?,<=50K +50,Private,34832,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,15024,0,40,United-States,>50K +28,Private,37933,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,48,United-States,<=50K +21,Private,165107,Some-college,10,Never-married,Priv-house-serv,Own-child,White,Female,0,0,40,United-States,<=50K +37,Private,126011,Assoc-voc,11,Divorced,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +28,Federal-gov,56651,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K +23,Private,522881,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,Mexico,<=50K +32,Private,191777,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,35,England,<=50K +27,Private,132686,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,50,United-States,<=50K +55,Private,201112,HS-grad,9,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +44,Private,174283,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +25,Private,208591,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,126399,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,32,United-States,<=50K +50,Private,142073,HS-grad,9,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +18,Private,395567,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +74,Private,180455,Bachelors,13,Widowed,Other-service,Not-in-family,White,Female,0,0,8,United-States,<=50K +22,Private,235853,9th,5,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,160731,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +27,State-gov,31935,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,80,United-States,<=50K +41,Private,35166,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +24,Private,161092,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K +23,Private,223019,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +34,Self-emp-not-inc,179673,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,60,United-States,>50K +46,State-gov,248895,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +32,Private,200323,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +41,Private,230020,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,<=50K +29,Private,134890,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +48,Private,162096,9th,5,Married-civ-spouse,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Female,0,0,45,China,<=50K +51,Private,103824,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,Haiti,<=50K +34,State-gov,61431,12th,8,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +58,Private,197319,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +52,Private,183618,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,268598,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Other,Male,7298,0,50,Puerto-Rico,>50K +53,Private,263729,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +54,Private,39493,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K +36,Private,185360,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +25,Private,132661,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,60,United-States,<=50K +20,Private,266400,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,48,United-States,<=50K +23,Private,433669,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Self-emp-inc,216473,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +20,Self-emp-not-inc,217404,10th,6,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,227778,Assoc-voc,11,Never-married,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K +73,State-gov,96262,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +67,Private,247566,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,24,United-States,<=50K +56,Private,139616,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K +32,Private,73585,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,37869,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,1590,40,United-States,<=50K +33,Private,165814,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +37,Private,108913,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,34975,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +31,Private,157078,10th,6,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +59,Private,232672,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +21,Private,294295,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +58,Self-emp-inc,130454,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +24,Local-gov,461678,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,State-gov,252284,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,256737,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +33,Local-gov,96480,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,Germany,<=50K +25,Private,234263,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,109952,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,262570,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Self-emp-not-inc,65716,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +68,Private,201732,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +66,Self-emp-not-inc,174788,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +38,Private,278924,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,101593,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +71,?,193863,7th-8th,4,Widowed,?,Other-relative,White,Female,0,0,16,Poland,<=50K +37,Private,342768,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,242606,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,4386,0,45,United-States,>50K +27,State-gov,176727,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Private,99179,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,State-gov,354104,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K +25,Private,61956,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +47,Federal-gov,137917,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K +40,Private,224658,Some-college,10,Married-civ-spouse,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +38,Private,51100,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,3325,0,40,United-States,<=50K +25,Private,224361,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,362912,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,50,United-States,<=50K +23,Private,218782,10th,6,Never-married,Handlers-cleaners,Other-relative,Other,Male,0,0,40,United-States,<=50K +28,Private,103389,Masters,14,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,308944,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,140092,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,202210,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +52,Private,416059,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K +33,Self-emp-not-inc,281030,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,94,United-States,<=50K +19,Private,169758,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +68,Private,193666,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,55,United-States,>50K +41,Private,139907,10th,6,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,50,United-States,<=50K +18,Self-emp-inc,119422,HS-grad,9,Never-married,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,30,India,<=50K +29,Private,149324,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,40,United-States,>50K +40,Private,259307,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +51,Self-emp-not-inc,74160,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,0,0,60,United-States,>50K +49,Private,134797,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,State-gov,41103,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +38,Local-gov,193026,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +57,Private,303986,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Cuba,<=50K +35,Private,126569,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K +66,Private,166461,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,26,United-States,<=50K +27,?,61387,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K +25,Private,254746,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +77,?,28678,Masters,14,Married-civ-spouse,?,Husband,White,Male,9386,0,6,United-States,>50K +19,?,180976,10th,6,Never-married,?,Unmarried,White,Female,0,0,35,United-States,<=50K +70,Private,282642,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,2174,40,United-States,>50K +59,Self-emp-not-inc,136413,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,United-States,<=50K +25,Private,131463,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +44,Local-gov,177240,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,10520,0,40,United-States,>50K +37,Private,218490,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,El-Salvador,>50K +75,?,260543,10th,6,Widowed,?,Other-relative,Asian-Pac-Islander,Female,0,0,1,China,<=50K +21,?,80680,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,20728,HS-grad,9,Never-married,Sales,Own-child,White,Female,4101,0,40,United-States,<=50K +47,Federal-gov,117628,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +20,Private,91939,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,1721,30,United-States,<=50K +32,State-gov,175931,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,309566,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +53,Private,123703,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,?,369678,HS-grad,9,Never-married,?,Not-in-family,Other,Male,0,0,30,United-States,<=50K +58,Private,29928,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,36,United-States,<=50K +22,Private,167868,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +23,Private,235894,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +21,Private,189888,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,3325,0,60,United-States,<=50K +36,Private,111545,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K +39,Private,175972,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,<=50K +34,Local-gov,254270,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Local-gov,185057,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +72,Private,157593,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,1455,0,6,United-States,<=50K +34,Private,101345,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K +51,Local-gov,176751,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +32,Self-emp-not-inc,97723,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,127601,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +37,Private,227597,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,?,143995,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,20,United-States,<=50K +21,Private,250051,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K +26,Private,284078,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,207668,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1887,40,United-States,>50K +18,Private,163787,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +27,Private,119170,11th,7,Never-married,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +20,Private,188612,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,Nicaragua,<=50K +36,Private,114605,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +31,?,317761,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,164197,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +54,Private,329266,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K +34,Local-gov,207383,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,123598,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K +33,Private,259931,11th,7,Separated,Machine-op-inspct,Other-relative,White,Male,0,0,30,United-States,<=50K +32,Private,134737,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K +42,Private,106900,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,87054,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +37,Private,82622,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +28,Private,181659,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,321205,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,4101,0,35,United-States,<=50K +44,Self-emp-not-inc,231348,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +40,Private,276096,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,290560,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +21,Private,307315,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +39,State-gov,99156,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +24,Private,237928,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,39,United-States,<=50K +46,Private,153501,HS-grad,9,Never-married,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +47,?,149700,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,36,United-States,>50K +47,Private,189680,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K +35,Private,374524,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,75,United-States,>50K +60,Self-emp-not-inc,127805,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +35,Private,150217,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,24,Poland,<=50K +33,Private,295649,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,China,<=50K +21,Private,197182,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,241998,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +48,Federal-gov,156410,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,50,United-States,>50K +58,Private,473836,7th-8th,4,Widowed,Farming-fishing,Other-relative,White,Female,0,0,45,Guatemala,<=50K +21,Private,198431,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,113936,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,318915,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Self-emp-not-inc,175406,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,>50K +33,?,193172,Assoc-voc,11,Married-civ-spouse,?,Own-child,White,Female,7688,0,50,United-States,>50K +23,Federal-gov,320294,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,State-gov,400285,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K +24,?,283731,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +38,Local-gov,227154,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +49,Private,298659,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,Mexico,<=50K +47,Private,212120,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +50,Private,320510,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K +21,Private,175800,HS-grad,9,Never-married,Prof-specialty,Unmarried,White,Female,0,0,55,United-States,<=50K +55,Private,170169,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,344157,11th,7,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,199441,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,225456,HS-grad,9,Never-married,Tech-support,Other-relative,White,Male,0,0,50,United-States,<=50K +36,Private,61178,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Local-gov,175262,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,2002,40,England,<=50K +42,Private,152568,HS-grad,9,Widowed,Sales,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +41,Private,182108,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,27828,0,35,United-States,>50K +46,Private,273771,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,40,United-States,>50K +32,Private,208291,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +34,Private,224358,10th,6,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +33,Private,55176,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +60,State-gov,152711,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +53,Private,68684,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,185452,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,50,United-States,<=50K +39,Federal-gov,175232,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1977,60,United-States,>50K +23,Private,173851,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,162327,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,50,?,>50K +36,Local-gov,51424,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,123416,12th,8,Separated,Prof-specialty,Own-child,White,Female,1055,0,40,United-States,<=50K +26,Private,262656,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +38,Private,233194,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K +41,Private,290660,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,55,United-States,>50K +22,Private,151105,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,18,United-States,<=50K +38,Private,179117,Assoc-acdm,12,Never-married,Machine-op-inspct,Not-in-family,Black,Female,10520,0,50,United-States,>50K +72,?,33608,Some-college,10,Married-civ-spouse,?,Husband,White,Male,9386,0,30,United-States,>50K +39,Private,317434,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,State-gov,126569,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +38,Local-gov,745768,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,45,United-States,<=50K +19,Private,69927,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,16,United-States,<=50K +26,Private,302603,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,45,United-States,<=50K +52,Private,46788,Bachelors,13,Divorced,Craft-repair,Unmarried,White,Male,0,0,25,United-States,<=50K +41,Private,289886,5th-6th,3,Married-civ-spouse,Other-service,Husband,Other,Male,0,1579,40,Nicaragua,<=50K +45,Private,179135,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Federal-gov,175873,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +34,Private,57426,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +36,Private,312206,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +19,Without-pay,344858,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K +26,State-gov,177035,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +60,Private,88055,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,111095,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,192251,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K +27,Private,29807,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,40,Japan,<=50K +26,Federal-gov,211596,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,Private,268276,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K +59,Self-emp-not-inc,181070,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,England,>50K +53,Local-gov,20676,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,48,United-States,<=50K +35,Private,115803,11th,7,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Local-gov,124827,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +36,Private,95336,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +36,Private,257942,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,72593,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,147340,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,185325,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +59,Self-emp-not-inc,357943,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +22,Private,215395,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,1602,10,United-States,<=50K +50,Local-gov,30682,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +24,Federal-gov,29591,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Other,Female,0,0,40,United-States,<=50K +36,Private,215392,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,110554,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,4386,0,40,United-States,>50K +42,Self-emp-not-inc,133584,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,El-Salvador,<=50K +38,Private,210438,7th-8th,4,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +52,Private,256916,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,73541,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,109952,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +54,Private,197975,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,0,51,United-States,<=50K +27,Private,401723,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +42,Private,179524,Bachelors,13,Separated,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +33,State-gov,296282,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,145844,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +59,Private,191965,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,3908,0,28,United-States,<=50K +54,Private,96792,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K +48,Private,185041,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1672,55,United-States,<=50K +19,?,233779,Some-college,10,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K +45,Private,347834,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,215373,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,<=50K +35,Self-emp-not-inc,169426,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,202856,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,36,United-States,<=50K +33,Private,50276,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Self-emp-not-inc,187454,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,126098,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K +19,Private,250639,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K +64,Self-emp-inc,195366,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,186845,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,8,United-States,<=50K +20,Federal-gov,119156,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,20,United-States,<=50K +28,Private,162343,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K +52,Private,108435,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,Greece,>50K +29,Self-emp-not-inc,394927,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +51,Private,172281,Bachelors,13,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,370767,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2377,60,United-States,<=50K +43,Private,352005,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K +52,Private,165681,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,258819,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K +25,Private,130793,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +36,Private,118909,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,Jamaica,<=50K +44,Private,202466,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,60,United-States,<=50K +47,Private,161558,10th,6,Married-spouse-absent,Transport-moving,Not-in-family,Black,Male,0,0,45,United-States,<=50K +32,Private,188246,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,160120,Masters,14,Never-married,Prof-specialty,Unmarried,Asian-Pac-Islander,Male,0,0,40,South,<=50K +40,Private,144594,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,2829,0,40,United-States,<=50K +34,Self-emp-not-inc,123429,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +35,Self-emp-inc,340110,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +26,Private,523067,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,3,El-Salvador,<=50K +49,Self-emp-not-inc,113513,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +63,?,186809,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K +46,Self-emp-not-inc,320421,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,25,United-States,<=50K +31,Local-gov,295589,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K +22,Private,370548,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +20,Private,120572,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,12,United-States,<=50K +52,Private,110977,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +26,Private,55860,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +34,Private,158800,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +31,Private,131568,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,173613,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +22,Private,216867,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +38,Private,104089,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,208106,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Ecuador,<=50K +27,State-gov,340269,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,236246,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,213408,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,Cuba,<=50K +40,?,84232,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,4,United-States,<=50K +19,Private,302945,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,Thailand,<=50K +69,?,28197,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,>50K +20,Private,262749,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +34,Federal-gov,198265,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K +49,Private,170871,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +27,Private,177761,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,Other,Male,0,0,50,United-States,<=50K +59,Private,175689,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,14,Cuba,>50K +45,Private,205100,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +21,Private,77759,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +51,State-gov,77905,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +64,?,193575,11th,7,Never-married,?,Unmarried,White,Male,0,0,40,United-States,<=50K +41,State-gov,116520,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +18,?,85154,12th,8,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,24,Germany,<=50K +49,Private,180532,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Private,508891,HS-grad,9,Divorced,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K +20,Private,211345,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,20,United-States,<=50K +69,Self-emp-not-inc,170877,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +18,?,97318,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +43,Private,184105,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +50,Private,150941,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,44,United-States,<=50K +32,Private,303942,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +27,Local-gov,273929,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,197077,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,162825,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +46,Private,159869,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,44,United-States,<=50K +19,Private,158343,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,?,<=50K +17,?,406920,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,227986,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,137527,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +36,Private,180150,12th,8,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,239539,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +58,Private,281792,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +40,Private,224799,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +64,Private,292639,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,10566,0,35,United-States,<=50K +66,Private,22313,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +42,Private,194636,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,156089,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +53,Private,193720,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K +25,Private,218667,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,358837,Some-college,10,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +20,Private,174685,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,168854,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,54,United-States,<=50K +28,Private,133696,Bachelors,13,Never-married,Sales,Unmarried,White,Male,0,0,65,United-States,<=50K +23,Federal-gov,350680,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,Poland,<=50K +18,Private,115215,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +43,Self-emp-not-inc,152958,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +29,Private,217200,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,235124,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,46,Dominican-Republic,<=50K +31,Local-gov,144949,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +60,Private,135470,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +42,Private,281209,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +46,Private,155489,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +38,Private,290306,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +18,Private,182042,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,19,United-States,<=50K +31,Private,210008,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +54,Private,234938,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4064,0,55,United-States,<=50K +46,Private,315423,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,2042,50,United-States,<=50K +27,Self-emp-not-inc,30244,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,80,United-States,<=50K +50,Local-gov,30008,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +38,Self-emp-not-inc,201328,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,56,United-States,<=50K +36,State-gov,96468,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,486332,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,Mexico,<=50K +19,Private,46162,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,25,United-States,<=50K +60,Local-gov,98350,Some-college,10,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,60,Philippines,<=50K +45,Local-gov,175958,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,119309,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,1602,16,United-States,<=50K +42,Private,175935,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,1980,46,United-States,<=50K +38,Private,204527,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +22,?,57827,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,418176,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,32,United-States,<=50K +23,Private,262744,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,177287,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,30,United-States,<=50K +30,Private,255004,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,0,0,52,United-States,<=50K +62,Private,183735,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Self-emp-not-inc,318644,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +42,Federal-gov,132125,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,United-States,>50K +33,Private,206051,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +54,Self-emp-inc,99185,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,>50K +35,Private,225750,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K +33,Private,245777,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,169092,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,55,United-States,<=50K +62,Private,211035,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,>50K +24,Private,285432,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +50,Local-gov,154779,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +54,Private,37237,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +58,Private,417419,7th-8th,4,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +39,Self-emp-inc,33975,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,42485,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +27,Private,170017,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,152683,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,3908,0,35,United-States,<=50K +20,Private,41721,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,60,United-States,<=50K +64,Private,66634,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Self-emp-inc,257216,Masters,14,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,167882,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,43,United-States,<=50K +45,Private,179428,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +26,Private,57512,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,301614,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,193820,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,1876,40,United-States,<=50K +58,Private,222247,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,40,United-States,>50K +39,Self-emp-inc,189092,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +47,Private,217509,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,Asian-Pac-Islander,Female,0,0,45,Thailand,<=50K +35,Private,308691,Masters,14,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +38,Private,169672,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,120914,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,370156,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +28,Private,398220,5th-6th,3,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K +44,Self-emp-not-inc,208277,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,45,United-States,<=50K +40,Private,337456,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K +55,Private,172666,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +29,Self-emp-not-inc,32280,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,45,United-States,<=50K +33,Private,194901,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +19,?,57329,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,Japan,<=50K +32,Private,173730,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +45,Local-gov,153312,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,10,United-States,>50K +23,Private,274797,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +31,Private,359249,Assoc-voc,11,Never-married,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K +22,Private,152744,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +59,Private,188041,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +32,Private,97723,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K +49,State-gov,354529,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,249727,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +26,Private,189590,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K +23,State-gov,298871,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +55,Self-emp-not-inc,205296,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K +47,Private,303637,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,49,United-States,>50K +44,Private,242861,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,37599,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,24,United-States,<=50K +40,State-gov,199381,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,37,United-States,>50K +32,Self-emp-not-inc,56328,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,8,United-States,>50K +20,Private,256211,Some-college,10,Never-married,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +84,Local-gov,163685,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,33,United-States,<=50K +40,Private,266084,Some-college,10,Divorced,Craft-repair,Other-relative,White,Male,0,0,50,United-States,<=50K +37,Private,161111,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,199031,Some-college,10,Divorced,Transport-moving,Own-child,White,Male,0,1380,40,United-States,<=50K +47,Private,166634,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,Germany,<=50K +62,Self-emp-not-inc,204085,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K +19,?,369527,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +47,Private,464945,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +44,Local-gov,174684,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K +26,Local-gov,166295,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,41,United-States,<=50K +36,Private,220511,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,246936,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,104509,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +48,?,266337,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,252168,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +25,Private,92093,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K +62,Private,88055,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,129591,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,142719,HS-grad,9,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,65,United-States,<=50K +18,?,264924,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +46,Private,128796,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K +38,Private,115336,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,70,United-States,<=50K +52,Private,190333,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +63,Self-emp-not-inc,179444,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,15,United-States,<=50K +49,Private,218676,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,<=50K +17,Local-gov,148194,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K +33,Private,184833,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +70,Self-emp-not-inc,280639,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,2329,0,20,United-States,<=50K +19,Private,217769,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +27,?,180553,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,>50K +61,Private,56009,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,255334,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,>50K +46,Self-emp-inc,328216,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,42,?,>50K +29,Private,349154,10th,6,Separated,Farming-fishing,Unmarried,White,Female,0,0,40,Guatemala,<=50K +40,Local-gov,24763,Some-college,10,Divorced,Transport-moving,Unmarried,White,Male,6849,0,40,United-States,<=50K +43,State-gov,41834,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,United-States,>50K +24,Private,113466,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,130856,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +61,Self-emp-not-inc,268797,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,17,United-States,<=50K +48,Private,202117,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,34,United-States,<=50K +19,Private,280146,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +30,Private,70377,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,236696,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +39,Local-gov,222572,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,43,United-States,<=50K +46,Self-emp-inc,110702,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,2036,0,60,United-States,<=50K +40,Private,96129,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,72,United-States,>50K +27,Local-gov,200492,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,193820,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +31,Private,454508,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,2001,40,United-States,<=50K +58,Private,220789,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +33,Private,101345,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,42,Canada,>50K +40,Private,140559,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +40,Self-emp-inc,64885,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K +31,Private,402361,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,143582,HS-grad,9,Separated,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,48,China,<=50K +49,Private,185385,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +24,Private,112706,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,130364,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +58,Local-gov,147428,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +20,Private,205895,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +65,?,273569,HS-grad,9,Widowed,?,Unmarried,White,Male,0,0,40,United-States,<=50K +43,Private,153160,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +48,Self-emp-not-inc,167918,Masters,14,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,50,India,<=50K +41,Private,195661,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,54,United-States,<=50K +27,State-gov,146243,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +52,?,105428,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,12,United-States,<=50K +26,Private,149943,HS-grad,9,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,60,?,<=50K +52,Local-gov,246197,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +52,Local-gov,192563,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K +19,Private,244115,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,30,United-States,<=50K +39,Local-gov,98587,Some-college,10,Divorced,Prof-specialty,Own-child,White,Female,0,0,45,United-States,<=50K +47,Private,145886,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,244315,HS-grad,9,Divorced,Craft-repair,Other-relative,Other,Male,0,0,40,United-States,<=50K +48,Private,192779,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,209464,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +60,Private,25141,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +28,Private,405793,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +47,Federal-gov,53498,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +69,?,476653,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +40,Self-emp-not-inc,162312,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,66,South,<=50K +37,Private,277022,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Female,3887,0,40,Nicaragua,<=50K +41,State-gov,109762,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,123031,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,48,Trinadad&Tobago,<=50K +46,Federal-gov,119890,Assoc-voc,11,Separated,Tech-support,Not-in-family,Other,Female,0,0,30,United-States,<=50K +21,Self-emp-not-inc,409230,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +44,Private,223308,Masters,14,Separated,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K +38,?,129150,10th,6,Separated,?,Own-child,White,Male,0,0,35,United-States,<=50K +47,Self-emp-not-inc,119199,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K +42,Private,46221,Doctorate,16,Married-spouse-absent,Other-service,Not-in-family,White,Male,27828,0,60,?,>50K +42,Local-gov,351161,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Private,174533,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K +32,Private,324386,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,126568,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,33,United-States,<=50K +26,Private,275703,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,219611,Bachelors,13,Never-married,Sales,Not-in-family,Black,Female,2174,0,50,United-States,<=50K +49,Private,200471,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K +65,Private,155261,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +73,State-gov,74040,7th-8th,4,Divorced,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +34,Private,226296,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,211968,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +49,Local-gov,126446,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +25,Private,262885,11th,7,Never-married,Other-service,Unmarried,Black,Female,0,0,32,United-States,<=50K +39,Private,188069,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,25,United-States,<=50K +19,Private,113546,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,56,United-States,<=50K +24,Private,227070,10th,6,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +34,Private,136997,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +35,?,119006,HS-grad,9,Widowed,?,Own-child,White,Female,0,0,38,United-States,<=50K +21,Private,212407,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +43,Private,197810,Masters,14,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Federal-gov,35309,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,28,?,<=50K +39,Private,141802,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +48,?,184513,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,80,United-States,>50K +33,Self-emp-not-inc,124187,Assoc-acdm,12,Never-married,Other-service,Not-in-family,Black,Male,0,0,32,United-States,<=50K +19,Private,201743,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,26,United-States,<=50K +17,Private,156736,10th,6,Never-married,Sales,Unmarried,White,Female,0,0,12,United-States,<=50K +43,Self-emp-not-inc,47261,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +62,Private,150693,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K +53,Local-gov,233734,Masters,14,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,>50K +45,State-gov,35969,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +47,Private,159550,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +30,Private,190823,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +53,Private,213378,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,33,United-States,<=50K +24,Private,257500,HS-grad,9,Separated,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +41,Local-gov,488706,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +58,Local-gov,239405,5th-6th,3,Divorced,Other-service,Other-relative,Black,Female,0,0,40,Haiti,<=50K +27,Federal-gov,105189,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,4865,0,50,United-States,<=50K +63,State-gov,109735,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +50,Private,172942,Some-college,10,Divorced,Other-service,Own-child,White,Male,0,0,28,United-States,<=50K +43,Local-gov,209899,Masters,14,Never-married,Tech-support,Not-in-family,Black,Female,8614,0,47,United-States,>50K +29,Self-emp-inc,87745,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +41,Private,187881,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,3942,0,40,United-States,<=50K +55,Private,234125,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,272944,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +23,Local-gov,129232,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,100345,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,13550,0,55,United-States,>50K +58,Self-emp-not-inc,195835,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +25,Private,251854,11th,7,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +40,Private,103474,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K +38,Private,22042,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,39,United-States,<=50K +37,Private,343721,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +19,Private,232368,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +55,Private,174478,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,29,United-States,<=50K +55,Private,282023,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +28,Private,274690,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +53,Private,251675,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,El-Salvador,<=50K +32,?,647882,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,?,<=50K +60,Private,128367,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Male,3325,0,42,United-States,<=50K +32,Private,37380,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +34,Private,173730,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +49,Private,353824,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +21,Private,225890,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,30,United-States,<=50K +24,State-gov,147147,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,20,United-States,<=50K +53,Private,233780,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,Black,Female,2202,0,40,United-States,<=50K +29,Private,394927,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K +34,Local-gov,188682,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,?,115209,Prof-school,15,Married-spouse-absent,?,Unmarried,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +41,Private,277192,5th-6th,3,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,40,Mexico,<=50K +21,Private,314182,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,220776,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +31,Local-gov,189269,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,35429,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,2042,40,United-States,<=50K +42,Private,154374,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,60,United-States,>50K +62,Private,161460,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,30,United-States,<=50K +51,Private,251487,7th-8th,4,Widowed,Machine-op-inspct,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +30,Private,177531,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,25,United-States,<=50K +24,Private,53942,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,113481,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,361324,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,330087,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +33,Private,276221,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,121055,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +62,Private,118696,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +64,Self-emp-not-inc,289741,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K +18,Private,238401,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +43,Private,262038,5th-6th,3,Married-spouse-absent,Farming-fishing,Unmarried,White,Male,0,0,35,Mexico,<=50K +62,Self-emp-not-inc,26911,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,66,United-States,<=50K +29,Private,161155,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +43,Private,252519,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,Haiti,>50K +39,Private,43712,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +69,?,167826,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,188900,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +44,Private,120057,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,45,United-States,>50K +25,Private,134113,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K +47,Local-gov,165822,Some-college,10,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +17,Private,99161,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,8,United-States,<=50K +41,Local-gov,74581,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,65,United-States,<=50K +19,Private,304643,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +57,Private,121821,1st-4th,2,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,Dominican-Republic,<=50K +25,Private,154863,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Male,0,0,35,United-States,<=50K +37,Local-gov,365430,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Canada,>50K +29,Private,183111,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,50178,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +35,Private,186845,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +52,Private,159908,12th,8,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,162189,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,1831,0,40,Peru,<=50K +29,Private,128509,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Female,0,0,38,El-Salvador,<=50K +23,Private,143032,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,36,United-States,<=50K +31,Private,382368,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,210013,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +19,Private,293928,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +21,Private,208503,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,10,United-States,<=50K +37,State-gov,191841,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,8614,0,40,United-States,>50K +49,Self-emp-not-inc,355978,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,35,United-States,>50K +64,Local-gov,202738,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K +37,Local-gov,144322,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K +70,Self-emp-not-inc,155141,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2377,12,United-States,>50K +22,Private,160120,10th,6,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K +29,Self-emp-inc,190450,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,Germany,<=50K +37,Private,212900,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,115677,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,252250,11th,7,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,65,United-States,<=50K +27,Private,212041,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +58,State-gov,198145,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,>50K +60,Local-gov,113658,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K +20,Private,32426,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K +51,Private,98791,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +37,Private,203828,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K +22,State-gov,186634,12th,8,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +56,Self-emp-not-inc,125147,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +26,Private,247455,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,5178,0,42,United-States,>50K +19,Private,97215,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K +37,Private,330826,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,<=50K +27,Private,200802,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,156266,HS-grad,9,Never-married,Sales,Own-child,Amer-Indian-Eskimo,Male,0,0,20,United-States,<=50K +52,Self-emp-not-inc,72257,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +45,Private,363087,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +28,Private,25955,Some-college,10,Never-married,Craft-repair,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +20,Private,334633,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,109162,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +44,Private,569761,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +30,Private,209900,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,State-gov,272986,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Black,Female,0,0,8,United-States,<=50K +55,?,52267,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,18,United-States,<=50K +46,Private,82946,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Private,104651,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +25,Local-gov,58441,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Local-gov,269733,HS-grad,9,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,?,128453,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,28,United-States,<=50K +36,Private,179468,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,183081,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,102938,Bachelors,13,Never-married,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +30,?,157289,11th,7,Never-married,?,Unmarried,White,Male,0,0,40,United-States,<=50K +24,Private,359828,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K +30,Private,155659,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K +24,Private,585203,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,45,United-States,>50K +62,Private,173601,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,214541,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,1590,40,United-States,<=50K +49,Self-emp-not-inc,163352,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,85,United-States,>50K +36,Self-emp-not-inc,153976,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +47,Local-gov,247676,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,5455,0,45,United-States,<=50K +49,State-gov,155372,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,Private,329733,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Private,162576,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +26,Private,176520,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,53,United-States,<=50K +51,State-gov,226885,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,120781,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +30,Private,375827,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +46,Private,205504,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,20,United-States,<=50K +28,Private,198813,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,40,United-States,<=50K +48,Self-emp-inc,254291,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K +62,Private,159908,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,38,United-States,>50K +49,Private,40000,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,4064,0,44,United-States,<=50K +69,Private,102874,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,24,United-States,<=50K +35,Private,117381,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,8614,0,45,United-States,>50K +78,Private,180239,Masters,14,Widowed,Craft-repair,Unmarried,Asian-Pac-Islander,Male,0,0,40,South,<=50K +61,Private,539563,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +24,Private,261561,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,81057,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,160120,Bachelors,13,Married-civ-spouse,Sales,Husband,Other,Male,0,0,45,?,<=50K +17,Private,41979,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,275110,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,80,United-States,>50K +64,Private,265661,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,193246,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,France,<=50K +32,Private,236543,12th,8,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K +19,Private,29510,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +42,State-gov,105804,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,194604,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +23,Private,1038553,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,45,United-States,<=50K +51,Local-gov,209320,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,3325,0,40,United-States,<=50K +31,Private,193231,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,3325,0,60,United-States,<=50K +44,Private,307468,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,29,United-States,>50K +38,Private,255941,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,10520,0,50,United-States,>50K +44,Local-gov,107845,Assoc-acdm,12,Divorced,Protective-serv,Not-in-family,White,Female,0,0,56,United-States,>50K +44,Self-emp-not-inc,567788,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +38,Private,91857,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +36,Private,732569,9th,5,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,86613,1st-4th,2,Never-married,Other-service,Not-in-family,White,Male,0,0,20,El-Salvador,<=50K +46,Private,35961,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Female,0,0,25,Germany,<=50K +47,Private,114754,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,235124,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,99999,0,40,United-States,>50K +37,Local-gov,218490,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,35,United-States,>50K +27,Private,329426,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +43,Private,181015,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,50,United-States,<=50K +44,Self-emp-not-inc,264740,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +31,Private,381153,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,<=50K +34,Private,189759,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K +39,Private,230467,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,1092,40,Germany,<=50K +36,Private,218542,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +57,Private,298507,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K +78,Private,111189,7th-8th,4,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,35,Dominican-Republic,<=50K +24,Private,168997,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,168894,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,149809,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,344073,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K +22,Private,416165,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,32,United-States,<=50K +36,Private,41490,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +61,Private,40269,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +67,?,243256,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K +42,Private,250536,Some-college,10,Separated,Other-service,Unmarried,Black,Female,0,0,21,Haiti,<=50K +49,Federal-gov,105586,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +58,Private,51499,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Local-gov,189878,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K +39,Private,179481,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,4650,0,44,United-States,<=50K +25,Private,299765,Some-college,10,Separated,Adm-clerical,Other-relative,Black,Female,0,0,40,Jamaica,<=50K +45,Self-emp-inc,155664,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,>50K +30,Private,54608,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +49,?,174702,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,35,United-States,<=50K +36,Self-emp-not-inc,285020,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2885,0,40,United-States,<=50K +23,Private,201145,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K +51,Private,125796,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,35,Jamaica,<=50K +55,Private,249072,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +35,Private,99156,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +45,State-gov,94754,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,India,<=50K +36,Private,111128,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K +32,Local-gov,157887,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,74194,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +47,Self-emp-inc,168191,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,28334,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +52,Private,84278,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,?,>50K +44,Private,721161,Some-college,10,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +36,Private,188069,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +40,Private,145178,Some-college,10,Divorced,Craft-repair,Unmarried,Black,Female,0,0,30,United-States,<=50K +17,Private,52967,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,6,United-States,<=50K +18,Private,177578,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,38,United-States,<=50K +30,Self-emp-inc,185384,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,<=50K +66,Private,66008,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,50,England,<=50K +59,Private,329059,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +30,Local-gov,348802,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +50,Private,34233,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,509629,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +28,Private,27956,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,99,Philippines,<=50K +44,Local-gov,83286,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +25,Private,309098,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,188950,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +20,Private,224217,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +67,Private,222899,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Self-emp-not-inc,123306,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +52,Federal-gov,279337,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,347166,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +37,Local-gov,251396,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Canada,>50K +17,Self-emp-inc,143034,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,4,United-States,<=50K +25,Private,57635,Assoc-voc,11,Married-civ-spouse,Sales,Wife,White,Female,0,0,42,United-States,>50K +35,Local-gov,162651,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K +63,Private,28334,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +38,Local-gov,84570,Some-college,10,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +33,Private,181091,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,Iran,>50K +51,Local-gov,117496,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +64,State-gov,216160,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,Columbia,>50K +50,Self-emp-inc,204447,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,374969,10th,6,Never-married,Transport-moving,Not-in-family,White,Male,0,0,56,United-States,<=50K +67,Private,35015,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,99,United-States,<=50K +46,Private,179869,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +60,Self-emp-not-inc,137733,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +29,Private,193125,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,103649,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +56,State-gov,54260,Doctorate,16,Married-civ-spouse,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,2885,0,40,China,<=50K +29,Private,197932,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,Mexico,>50K +37,Private,249720,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,27,United-States,<=50K +55,Private,223613,1st-4th,2,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,30,Cuba,<=50K +24,Private,259865,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +21,Private,301694,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,Mexico,<=50K +46,Self-emp-inc,276934,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K +25,Private,395512,12th,8,Married-civ-spouse,Machine-op-inspct,Other-relative,Other,Male,0,0,40,Mexico,<=50K +40,Private,168071,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,28,United-States,<=50K +23,Private,45317,Some-college,10,Separated,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +43,Self-emp-not-inc,311177,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,30,United-States,<=50K +29,Self-emp-not-inc,190636,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,1485,60,United-States,>50K +59,Private,221336,10th,6,Widowed,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +18,Private,120691,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,35,?,<=50K +28,Private,107389,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,32,United-States,<=50K +17,Private,293440,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +53,Private,145409,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +22,Private,213902,5th-6th,3,Never-married,Priv-house-serv,Other-relative,White,Female,0,0,40,El-Salvador,<=50K +63,Private,100099,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,191856,Masters,14,Married-civ-spouse,Sales,Wife,White,Female,0,0,45,United-States,>50K +40,Local-gov,233891,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K +61,Self-emp-not-inc,96073,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,England,>50K +35,Private,474136,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1408,40,United-States,<=50K +43,Self-emp-not-inc,355856,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,Philippines,<=50K +20,?,144685,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,1602,40,Taiwan,<=50K +48,Self-emp-not-inc,139212,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,State-gov,143931,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Federal-gov,160703,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,191291,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,68729,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,1902,40,United-States,>50K +61,Private,119986,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +37,Private,227545,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,>50K +36,Private,32776,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K +34,Private,228881,Some-college,10,Separated,Machine-op-inspct,Not-in-family,Other,Male,0,0,40,United-States,<=50K +23,Private,84648,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +63,Federal-gov,101996,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +63,?,68954,HS-grad,9,Widowed,?,Not-in-family,Black,Female,0,0,11,United-States,<=50K +47,Local-gov,285060,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,41,United-States,>50K +55,Self-emp-inc,209569,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,50,United-States,>50K +31,Local-gov,331126,Bachelors,13,Never-married,Protective-serv,Own-child,Black,Male,0,0,48,United-States,<=50K +27,Private,279872,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Private,150560,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,14084,0,40,United-States,>50K +28,Local-gov,185647,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,<=50K +52,Private,128871,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,64,United-States,<=50K +31,Federal-gov,386331,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,50,United-States,<=50K +53,Private,117814,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +43,Private,220609,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,50,United-States,<=50K +43,Local-gov,117022,HS-grad,9,Married-spouse-absent,Farming-fishing,Unmarried,Black,Male,0,0,40,United-States,<=50K +50,Self-emp-inc,176751,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,80,United-States,>50K +68,?,76371,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K +37,Private,80410,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,127202,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,121471,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,219086,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +59,Private,271571,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,50,United-States,>50K +30,Private,241583,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,374253,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,55,United-States,<=50K +30,Private,214993,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Local-gov,199995,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K +38,Private,450924,12th,8,Married-civ-spouse,Other-service,Husband,White,Male,3942,0,40,United-States,<=50K +29,Private,120359,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +76,Private,93125,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,1424,0,24,United-States,<=50K +21,Private,187513,Assoc-voc,11,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +65,Private,243569,Some-college,10,Widowed,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K +43,Private,295510,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +29,Private,29732,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,24,United-States,<=50K +32,Private,211743,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +37,Private,251396,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +64,Private,477697,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,16,United-States,<=50K +49,Private,151584,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +44,Private,193882,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +68,?,117542,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,1409,0,15,United-States,<=50K +34,Private,242460,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +35,Private,411395,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,36,United-States,<=50K +53,Private,191025,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K +24,Private,154571,Assoc-voc,11,Never-married,Sales,Unmarried,Asian-Pac-Islander,Male,0,0,50,South,<=50K +31,Private,208657,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,29599,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,United-States,<=50K +36,Private,423711,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +29,Private,122000,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +37,Private,148581,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +42,Self-emp-not-inc,222978,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +30,Private,149118,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Self-emp-inc,218407,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,70,Cuba,<=50K +47,Self-emp-not-inc,112200,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,10520,0,45,United-States,>50K +44,Private,85604,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K +19,Private,111232,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,99199,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K +51,Private,199995,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +69,Private,122850,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,16,United-States,<=50K +73,?,90557,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +18,?,271935,11th,7,Never-married,?,Other-relative,White,Female,0,0,20,United-States,<=50K +33,Self-emp-not-inc,361497,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Local-gov,399020,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,55,United-States,<=50K +33,Private,345277,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,45,United-States,>50K +20,Federal-gov,55233,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +28,Self-emp-not-inc,200515,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,188119,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,176683,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K +22,Private,309178,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +67,Self-emp-not-inc,40021,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +31,Self-emp-inc,49923,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +36,?,36635,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,25,United-States,<=50K +43,Federal-gov,325706,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,India,>50K +33,Private,124407,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Self-emp-not-inc,301568,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K +27,Private,339956,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,60,United-States,<=50K +36,Private,176335,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,198452,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +63,Private,213945,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,Iran,>50K +48,Private,171807,Bachelors,13,Divorced,Other-service,Unmarried,White,Female,0,0,56,United-States,>50K +25,Private,362826,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,45,United-States,<=50K +41,Self-emp-not-inc,344329,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,10,United-States,<=50K +26,Private,137678,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,175424,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +33,State-gov,73296,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,1831,0,40,United-States,<=50K +30,State-gov,137613,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,17,Taiwan,<=50K +67,Self-emp-not-inc,354405,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +32,Private,130057,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +48,Self-emp-not-inc,362883,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,>50K +51,Private,49017,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K +39,Private,149943,Masters,14,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,40,China,<=50K +40,Self-emp-inc,99185,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +40,Private,294708,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K +19,Private,228238,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K +28,Private,156819,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,36,United-States,<=50K +47,Private,332727,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +20,Private,289944,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +41,Private,116103,HS-grad,9,Widowed,Exec-managerial,Other-relative,White,Male,914,0,40,United-States,<=50K +29,Private,24153,Some-college,10,Married-civ-spouse,Other-service,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +40,Private,273425,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +61,Private,231183,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,313930,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +26,Private,114483,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,162108,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,168807,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +43,Local-gov,143828,Masters,14,Divorced,Prof-specialty,Unmarried,Black,Female,9562,0,40,United-States,>50K +73,Private,242769,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3471,0,40,England,<=50K +46,Local-gov,111558,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +19,Private,69770,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +37,Private,291981,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,102460,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,151584,HS-grad,9,Divorced,Sales,Own-child,White,Male,0,1876,40,United-States,<=50K +47,Local-gov,287320,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,115677,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,239632,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,409172,Bachelors,13,Married-civ-spouse,Exec-managerial,Own-child,White,Male,0,0,55,United-States,<=50K +20,Private,186849,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K +28,Private,118861,10th,6,Married-civ-spouse,Craft-repair,Wife,Other,Female,0,0,48,Guatemala,<=50K +26,Private,142689,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,?,<=50K +41,State-gov,170924,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +67,?,274451,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,153489,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,186489,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,46,United-States,<=50K +18,Private,192409,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +55,State-gov,337599,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,195545,HS-grad,9,Divorced,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +64,Private,61892,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,15,United-States,<=50K +34,Self-emp-not-inc,175697,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,75,United-States,<=50K +38,Private,80303,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +25,Private,419658,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,8,United-States,<=50K +21,Private,319163,Some-college,10,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K +37,Private,126743,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,53,Mexico,<=50K +39,Private,301568,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,120461,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +23,Private,268145,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +54,Private,257337,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +49,Self-emp-inc,213354,Masters,14,Separated,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,>50K +25,Private,303431,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +51,Private,124963,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +29,Private,158218,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,35,United-States,<=50K +27,State-gov,553473,Bachelors,13,Married-civ-spouse,Protective-serv,Wife,Black,Female,0,0,48,United-States,<=50K +53,Private,46155,HS-grad,9,Married-civ-spouse,Priv-house-serv,Other-relative,White,Female,0,0,40,United-States,<=50K +68,Private,138714,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +56,Private,231781,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +30,Private,496414,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,?,<=50K +24,Private,19410,HS-grad,9,Divorced,Sales,Unmarried,Amer-Indian-Eskimo,Female,0,0,48,United-States,<=50K +70,?,28471,9th,5,Widowed,?,Unmarried,White,Female,0,0,25,United-States,<=50K +24,Private,185821,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +74,?,272667,Assoc-acdm,12,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +23,?,194031,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,25,United-States,<=50K +41,Local-gov,144995,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +45,Private,162494,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,19,United-States,<=50K +35,Private,171968,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,232569,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,161819,11th,7,Separated,Adm-clerical,Unmarried,Black,Female,0,0,25,United-States,<=50K +18,Private,123343,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +49,Private,105449,Bachelors,13,Never-married,Priv-house-serv,Not-in-family,White,Male,0,0,25,United-States,<=50K +49,Private,181717,Assoc-voc,11,Separated,Prof-specialty,Own-child,White,Female,0,0,36,United-States,<=50K +45,Local-gov,102359,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,37,United-States,<=50K +27,Private,72887,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +28,Private,154571,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +35,Private,255191,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +33,Private,174789,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,110402,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +19,Private,208513,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +33,Private,121904,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K +28,Private,34335,HS-grad,9,Divorced,Sales,Not-in-family,Amer-Indian-Eskimo,Male,14084,0,40,United-States,>50K +49,Private,59380,Some-college,10,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +61,?,135285,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,2603,32,United-States,<=50K +39,Self-emp-inc,126675,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K +22,Private,217363,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,91836,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,184813,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,178142,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +49,Local-gov,102359,9th,5,Widowed,Handlers-cleaners,Unmarried,White,Male,0,2231,40,United-States,>50K +33,Self-emp-inc,281832,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Cuba,>50K +28,Private,96226,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +42,Private,195124,7th-8th,4,Married-spouse-absent,Prof-specialty,Other-relative,White,Male,0,0,35,Puerto-Rico,<=50K +20,Private,56322,Some-college,10,Never-married,Other-service,Own-child,White,Male,2176,0,25,United-States,<=50K +50,Local-gov,97449,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,<=50K +32,Private,339773,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +31,Federal-gov,210926,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,199499,Assoc-voc,11,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +46,Federal-gov,190729,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +32,Self-emp-inc,191385,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,77,United-States,<=50K +61,Private,193479,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,24,United-States,<=50K +43,Self-emp-not-inc,225165,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +35,Private,346766,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,State-gov,152307,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +18,?,79990,11th,7,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K +42,Self-emp-not-inc,170649,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +23,Private,197207,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,229732,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +52,Private,204402,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,85,United-States,>50K +36,Private,181065,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +38,Private,179579,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,>50K +50,Private,237729,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,2444,72,United-States,>50K +23,?,164574,Assoc-acdm,12,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +71,Private,179574,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,12,United-States,>50K +27,Private,191782,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,30,United-States,<=50K +56,Private,146660,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +28,Self-emp-not-inc,115945,Some-college,10,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +45,Private,210875,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,137898,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +28,Local-gov,216965,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,201554,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,15,United-States,<=50K +62,Private,57970,7th-8th,4,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,208378,12th,8,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Private,61343,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K +24,Private,283872,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,20,United-States,<=50K +58,Private,225603,9th,5,Divorced,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K +48,Private,401333,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,278228,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +31,Private,145377,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +25,Private,120238,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,187215,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,36,United-States,>50K +29,Self-emp-not-inc,144063,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K +38,Private,238721,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +21,Private,164920,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +34,Self-emp-not-inc,152493,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +50,Private,92968,Bachelors,13,Never-married,Sales,Unmarried,White,Female,0,0,32,United-States,<=50K +50,Private,136836,HS-grad,9,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +49,Federal-gov,216453,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,45,United-States,<=50K +30,Private,349148,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,<=50K +29,State-gov,309620,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,20,Taiwan,<=50K +22,State-gov,347803,Some-college,10,Never-married,Adm-clerical,Not-in-family,Other,Male,0,0,20,United-States,<=50K +42,Private,85995,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +19,?,167428,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,164569,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,48,United-States,<=50K +42,Self-emp-not-inc,308279,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,21,United-States,<=50K +20,Private,56322,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +51,?,203015,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,211654,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +27,Self-emp-inc,120126,9th,5,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,239043,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +61,?,179761,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +20,Private,312017,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,Germany,<=50K +51,Private,257485,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +52,Private,49243,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,229716,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K +31,Private,341672,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,60,India,<=50K +24,Private,32311,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +56,Private,275236,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +19,?,400356,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,184596,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,3942,0,50,United-States,<=50K +18,Private,186909,HS-grad,9,Never-married,Sales,Other-relative,White,Female,1055,0,30,United-States,<=50K +43,Private,152420,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,50,United-States,<=50K +43,State-gov,261929,Doctorate,16,Married-spouse-absent,Prof-specialty,Unmarried,White,Male,25236,0,64,United-States,>50K +21,Private,235442,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,161691,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +20,?,173945,11th,7,Married-civ-spouse,?,Other-relative,White,Female,0,0,39,United-States,<=50K +41,Private,355918,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,>50K +45,State-gov,198660,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +20,Private,122649,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +28,Private,421967,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,60,United-States,>50K +50,Local-gov,259377,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,40,United-States,>50K +47,Private,74305,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +80,Self-emp-not-inc,34340,7th-8th,4,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,35,United-States,<=50K +47,Self-emp-not-inc,182752,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,Iran,<=50K +19,?,48393,Some-college,10,Never-married,?,Own-child,White,Male,0,0,84,United-States,<=50K +45,Private,34248,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +17,Private,186677,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K +37,Private,167851,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +27,Private,146460,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,209650,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +18,Self-emp-not-inc,132986,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +57,Private,94429,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,252406,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Private,174592,Masters,14,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,151322,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +51,Private,37237,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,>50K +38,Private,101192,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +77,?,152900,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +51,Private,94081,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K +24,Private,329408,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,106028,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,65,United-States,<=50K +35,?,164866,10th,6,Divorced,?,Not-in-family,White,Male,0,0,99,United-States,<=50K +51,Self-emp-inc,167793,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +28,Private,138692,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +37,Private,173968,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,228320,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,96585,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K +42,Private,156580,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,Puerto-Rico,<=50K +58,Private,210673,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +52,Local-gov,137753,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,20,United-States,<=50K +29,Private,29865,HS-grad,9,Divorced,Sales,Not-in-family,Amer-Indian-Eskimo,Female,0,0,50,United-States,<=50K +27,Private,196044,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +28,Private,308995,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,Jamaica,<=50K +59,Private,159008,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,20,United-States,>50K +28,Private,362491,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,94395,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,320047,10th,6,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,98535,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +65,Private,183170,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K +18,?,331511,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +38,Private,195686,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +29,Private,178244,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,127833,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +36,Private,269722,Masters,14,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +55,State-gov,136819,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,205604,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,30,Mexico,<=50K +28,Private,132078,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,234880,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +24,Private,196816,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3908,0,40,United-States,<=50K +36,Private,237943,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +68,Self-emp-inc,140852,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,105614,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +18,Private,83492,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +50,Self-emp-not-inc,225772,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,>50K +37,Private,242713,12th,8,Separated,Priv-house-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K +60,Private,355865,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +43,Private,173316,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Self-emp-inc,35662,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,70,United-States,>50K +17,Private,297246,11th,7,Never-married,Priv-house-serv,Own-child,White,Female,0,0,9,United-States,<=50K +43,Private,108945,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +39,Private,112158,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,26,?,<=50K +21,Self-emp-not-inc,57298,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +42,Self-emp-not-inc,115323,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,7,?,<=50K +48,Self-emp-not-inc,164582,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,7298,0,60,United-States,>50K +56,Private,295067,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,14084,0,45,United-States,>50K +21,Private,177265,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +28,Local-gov,336543,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,40,Hong,>50K +39,Self-emp-not-inc,52870,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +40,Private,316820,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K +38,Local-gov,200153,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,Private,453067,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,>50K +51,Federal-gov,27166,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,299598,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K +23,Private,122048,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,345277,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,113147,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K +43,Private,34007,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +45,Private,255014,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +34,Private,152667,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,35,United-States,<=50K +21,Private,231053,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,United-States,<=50K +34,Private,103651,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +55,Self-emp-inc,124137,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +30,Private,198183,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,183627,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3137,0,48,Ireland,<=50K +19,Private,466458,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +45,Self-emp-not-inc,114396,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +42,Private,186376,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,72,Philippines,>50K +32,Private,290964,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,1590,40,United-States,<=50K +90,Self-emp-not-inc,282095,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +44,State-gov,244974,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,44,United-States,>50K +34,Self-emp-not-inc,114691,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +35,Private,107160,12th,8,Separated,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +39,Self-emp-not-inc,142573,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,25,United-States,<=50K +29,Private,203833,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +24,Private,47791,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K +49,Private,133729,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,17,United-States,<=50K +52,Self-emp-not-inc,135339,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K +54,Private,135803,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,15024,0,60,South,>50K +31,Private,128591,9th,5,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,133853,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +18,?,137363,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +27,Self-emp-not-inc,243569,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,119156,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,391114,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K +27,Private,252506,Some-college,10,Divorced,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +34,State-gov,117503,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,20,Italy,<=50K +25,State-gov,117833,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,19,United-States,<=50K +39,Private,294183,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,394927,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +51,Self-emp-not-inc,259323,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K +21,?,207988,HS-grad,9,Married-civ-spouse,?,Other-relative,White,Female,0,0,35,United-States,<=50K +33,Private,96635,Some-college,10,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,26,South,<=50K +27,Private,192283,Assoc-voc,11,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,38,United-States,<=50K +29,Private,214881,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,State-gov,167474,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,110713,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +20,Private,201204,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,197666,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,162002,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +31,Private,263561,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2246,45,United-States,>50K +41,Private,224799,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,89942,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,238685,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +54,Private,38795,9th,5,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +55,Private,90414,Bachelors,13,Married-spouse-absent,Craft-repair,Unmarried,White,Female,0,0,55,Ireland,<=50K +21,Private,190805,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,32,United-States,<=50K +52,Private,23780,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K +19,Private,285263,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,177331,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +22,Private,347530,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K +59,Private,230039,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,625,38,United-States,<=50K +17,?,210547,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,204752,12th,8,Never-married,Sales,Own-child,White,Male,0,0,32,United-States,<=50K +74,Self-emp-not-inc,104001,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +45,Private,253116,10th,6,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +36,Private,169037,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Self-emp-inc,202027,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +45,Private,170099,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,212847,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,85,United-States,<=50K +50,State-gov,307392,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Private,233428,HS-grad,9,Divorced,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K +44,Private,355728,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Male,0,1980,45,England,<=50K +52,Private,177995,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,56,Mexico,>50K +24,Private,283613,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,43,United-States,<=50K +56,Self-emp-inc,184598,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,<=50K +27,Private,185647,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +47,Self-emp-inc,192894,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,45,United-States,>50K +40,Self-emp-not-inc,284706,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,1977,60,United-States,>50K +38,Private,179579,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,131679,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,Private,132973,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +22,Private,154713,HS-grad,9,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,121718,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,<=50K +30,Private,255279,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +55,Private,202559,Bachelors,13,Married-civ-spouse,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,35,Philippines,<=50K +25,Private,123095,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,1590,40,United-States,<=50K +32,Private,153326,Bachelors,13,Married-civ-spouse,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,<=50K +28,Private,75695,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K +33,Self-emp-inc,206609,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +17,Private,234780,HS-grad,9,Never-married,Farming-fishing,Own-child,Black,Male,0,0,40,United-States,<=50K +27,Private,178778,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,171355,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,20,United-States,<=50K +63,Federal-gov,95680,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,18,United-States,>50K +39,Private,196673,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,5013,0,40,United-States,<=50K +51,Federal-gov,73670,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,4386,0,52,United-States,>50K +67,Self-emp-not-inc,139960,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-inc,397280,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,72,?,<=50K +27,Private,60374,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Female,0,1594,26,United-States,<=50K +54,Private,421561,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +59,Private,245196,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K +18,Private,27620,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +19,Private,187570,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +31,Private,102884,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +17,Private,228399,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,7,United-States,<=50K +42,Private,340234,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,15024,0,40,United-States,>50K +37,Private,176293,Some-college,10,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +51,Local-gov,108435,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,161187,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,2463,0,40,United-States,<=50K +23,Private,278391,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,157941,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +25,Private,182866,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +69,Private,370888,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,2964,0,6,Germany,<=50K +30,Private,206512,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,44,United-States,<=50K +33,Private,357954,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,35,India,<=50K +28,Private,189346,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,48,United-States,<=50K +45,Private,234652,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +25,Private,113436,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K +37,Private,204145,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +59,Private,157305,Preschool,1,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Dominican-Republic,<=50K +26,Private,104045,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +48,Private,280422,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,25,Peru,<=50K +64,Federal-gov,173754,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,211154,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,321435,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,State-gov,177083,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +46,Private,178829,Masters,14,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,>50K +35,Federal-gov,287658,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K +43,Private,209894,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +31,Private,334744,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,306967,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +35,Private,52187,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +35,Private,101978,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +35,State-gov,483530,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Private,77357,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +50,Private,149770,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +48,Self-emp-not-inc,328606,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,14084,0,63,United-States,>50K +70,?,172652,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +46,Private,188293,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,116608,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,38,United-States,<=50K +37,State-gov,348960,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,>50K +24,Private,329530,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,Mexico,<=50K +47,Local-gov,93476,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,70,United-States,<=50K +35,Self-emp-not-inc,195744,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +43,Private,125833,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +18,State-gov,191117,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +54,Private,311020,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +62,Private,210464,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,38,United-States,<=50K +36,Private,135289,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +27,Private,156266,9th,5,Married-civ-spouse,Farming-fishing,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +23,Private,154210,Some-college,10,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Male,0,0,14,Puerto-Rico,<=50K +61,?,160625,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,4386,0,15,United-States,>50K +39,Self-emp-not-inc,331481,Bachelors,13,Divorced,Craft-repair,Not-in-family,Black,Male,0,1669,60,?,<=50K +33,Self-emp-not-inc,249249,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +28,Private,261725,1st-4th,2,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Mexico,<=50K +22,Private,239612,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +31,Self-emp-not-inc,226696,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +26,Private,190330,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +44,Private,193755,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +73,Private,192740,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +44,Private,201924,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +35,Private,77146,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +33,Private,126414,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,?,<=50K +27,Private,43652,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Federal-gov,227244,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,50,United-States,>50K +29,Private,160731,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +33,Private,287878,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,26,United-States,<=50K +50,Private,166758,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K +32,Private,183811,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,2829,0,40,United-States,<=50K +41,Self-emp-not-inc,254818,Masters,14,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,Peru,<=50K +19,?,220517,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +45,Private,295046,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +65,Private,190568,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,810,36,United-States,<=50K +42,State-gov,211915,Some-college,10,Separated,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Self-emp-not-inc,295621,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,25,United-States,>50K +32,Private,204567,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,60,United-States,>50K +42,Private,204235,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +49,Private,186982,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K +38,Private,133586,HS-grad,9,Married-civ-spouse,Protective-serv,Own-child,White,Male,0,0,45,United-States,<=50K +38,Private,165930,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +37,Private,164898,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K +24,Private,278155,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,30,United-States,<=50K +27,Self-emp-not-inc,115705,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +25,Private,150553,9th,5,Married-spouse-absent,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +29,Private,185127,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +46,Private,201595,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K +44,Self-emp-inc,165815,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,96,United-States,<=50K +26,Private,102420,Bachelors,13,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,40,South,<=50K +46,Local-gov,344172,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,49,United-States,>50K +38,Private,222450,Some-college,10,Separated,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +38,Private,212245,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,State-gov,190625,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K +33,Private,203488,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,304260,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +31,Local-gov,243665,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,41,United-States,>50K +26,Self-emp-not-inc,189238,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,4,Mexico,<=50K +42,Private,77373,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,<=50K +27,Private,410351,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,36385,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +64,Private,110150,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,198316,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,127772,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,199058,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +56,Private,285730,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,66,United-States,<=50K +25,Local-gov,334133,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +60,State-gov,97030,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +52,Private,67090,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K +43,Private,397963,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,594,0,16,United-States,<=50K +46,Private,182533,Bachelors,13,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +19,Private,560804,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +56,Private,365050,7th-8th,4,Never-married,Farming-fishing,Unmarried,Black,Female,0,0,20,United-States,<=50K +22,Private,110200,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,150025,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K +39,Private,299828,5th-6th,3,Separated,Sales,Unmarried,Black,Female,0,0,30,Puerto-Rico,<=50K +28,Private,109282,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,103435,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +22,Private,34747,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +39,Private,137522,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K +39,Private,286789,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +28,Self-emp-not-inc,211032,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +67,?,192916,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,3818,0,11,United-States,<=50K +31,Private,219318,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,Puerto-Rico,<=50K +50,Private,112873,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,36069,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3908,0,46,United-States,<=50K +48,Private,73434,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Germany,>50K +51,Private,200576,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +54,Private,172962,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,44006,Assoc-voc,11,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,234474,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K +37,Private,212826,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +38,Private,234901,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +59,Federal-gov,200700,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K +59,Self-emp-not-inc,41258,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +51,Private,249644,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,>50K +60,?,230165,Bachelors,13,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K +29,Private,351731,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,114765,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,349884,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +28,Self-emp-inc,204247,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +34,Private,143392,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +50,Self-emp-not-inc,37913,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Italy,>50K +22,Self-emp-inc,150683,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,24,United-States,<=50K +27,Private,207611,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,52,United-States,<=50K +45,State-gov,319666,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,0,0,43,United-States,<=50K +39,Private,155961,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,38,United-States,<=50K +25,Local-gov,117833,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +63,?,447079,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,15,United-States,<=50K +24,Self-emp-inc,142404,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +18,Private,155752,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,30,United-States,<=50K +19,?,252292,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,111450,12th,8,Never-married,Other-service,Unmarried,Black,Male,0,0,38,United-States,<=50K +20,Private,528616,5th-6th,3,Never-married,Other-service,Other-relative,White,Male,0,0,40,Mexico,<=50K +17,Self-emp-not-inc,228786,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K +63,Self-emp-inc,80572,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +28,Local-gov,180271,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,65,United-States,>50K +51,Federal-gov,237819,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +29,Private,157612,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,3325,0,45,United-States,<=50K +64,Private,379062,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,12,United-States,<=50K +17,Private,191910,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +45,Local-gov,326064,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,6497,0,35,United-States,<=50K +18,Private,312353,12th,8,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K +31,Local-gov,213307,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +48,Self-emp-not-inc,209057,Bachelors,13,Married-spouse-absent,Sales,Own-child,White,Male,0,0,50,United-States,>50K +41,Private,340148,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +65,Private,154171,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,60,United-States,>50K +27,Private,94064,Assoc-voc,11,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,119098,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,388496,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,8,Puerto-Rico,>50K +49,Private,181363,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +58,?,210031,HS-grad,9,Divorced,?,Unmarried,White,Male,0,0,40,United-States,<=50K +36,Private,206951,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,45,United-States,>50K +25,Private,485496,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +41,Private,210259,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,37,United-States,<=50K +31,Private,118551,9th,5,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +63,Private,180911,11th,7,Married-civ-spouse,Protective-serv,Husband,White,Male,4386,0,37,United-States,>50K +50,State-gov,242517,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +63,Private,298113,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,277783,Masters,14,Never-married,Farming-fishing,Own-child,White,Male,0,0,99,United-States,<=50K +48,Private,155862,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K +51,Self-emp-not-inc,171924,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +18,Private,243900,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +23,Private,231160,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +31,Private,356882,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5013,0,40,United-States,<=50K +38,Private,49020,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,?,105460,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,England,<=50K +56,Private,157749,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +31,Private,131568,7th-8th,4,Divorced,Transport-moving,Unmarried,White,Male,0,0,20,United-States,<=50K +46,Private,332355,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,204501,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +56,Local-gov,305767,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K +31,Private,129761,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Self-emp-inc,130126,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K +53,Private,102828,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +18,Private,160984,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +18,?,255282,11th,7,Never-married,?,Own-child,Black,Male,0,1602,48,United-States,<=50K +20,?,346341,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +27,Private,285897,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,45,United-States,>50K +31,Private,356689,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Federal-gov,192386,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,40,United-States,<=50K +46,Private,394860,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,113129,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,24,United-States,<=50K +26,Private,55929,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Local-gov,177018,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +37,Private,161141,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +29,Private,309463,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,165468,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,United-States,>50K +24,Private,49218,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +74,Self-emp-not-inc,119129,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,2149,20,United-States,<=50K +56,Self-emp-not-inc,162130,5th-6th,3,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,67,United-States,>50K +39,Federal-gov,129573,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,1741,40,United-States,<=50K +21,Private,306850,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,135296,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,2258,45,United-States,>50K +43,Self-emp-not-inc,187322,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,45,United-States,<=50K +23,Private,55674,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,2907,0,40,United-States,<=50K +26,Private,148298,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +47,Private,34845,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +27,Private,200733,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K +45,Private,191858,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +30,Private,425528,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,70,United-States,<=50K +35,Private,44780,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,20,United-States,>50K +33,Private,125856,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,100508,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +21,Private,148294,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K +42,Private,39324,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +48,Federal-gov,147397,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,36,United-States,<=50K +46,Private,24728,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,48,United-States,<=50K +36,Private,177616,5th-6th,3,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +54,Private,163826,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,199947,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +26,Local-gov,386949,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,25,United-States,<=50K +36,Self-emp-inc,116133,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,57,United-States,<=50K +56,Self-emp-not-inc,196307,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K +37,Private,177181,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,324854,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +23,Private,188505,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +23,State-gov,502316,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,State-gov,26892,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +55,Private,102058,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +39,Private,167728,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +67,Local-gov,233681,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +60,Private,26756,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +54,Private,101890,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,192337,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,England,>50K +47,Private,340982,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,3103,0,40,Philippines,>50K +49,State-gov,102308,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K +19,Private,84747,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K +20,Private,197752,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +66,Private,185336,HS-grad,9,Widowed,Sales,Other-relative,White,Female,0,0,35,United-States,<=50K +22,?,289984,Some-college,10,Never-married,?,Not-in-family,Black,Female,0,0,25,United-States,<=50K +51,Self-emp-not-inc,125417,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K +19,Private,278480,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,146412,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,193042,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +41,Private,53956,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,1980,56,United-States,<=50K +90,Private,175491,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,9386,0,50,Ecuador,>50K +78,?,33186,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K +36,Private,144154,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,194901,Prof-school,15,Divorced,Sales,Own-child,White,Male,0,0,55,United-States,<=50K +35,Private,335777,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,Mexico,<=50K +46,Private,139268,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +38,Private,33887,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +24,Private,283613,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,141245,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Puerto-Rico,<=50K +49,Private,298130,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,186096,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,30,United-States,<=50K +77,Private,187656,Some-college,10,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,20,United-States,<=50K +46,Private,102308,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,56,United-States,>50K +41,Private,124639,Some-college,10,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +28,Private,388112,1st-4th,2,Never-married,Farming-fishing,Unmarried,White,Male,0,0,77,Mexico,<=50K +21,Private,109952,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,164529,12th,8,Never-married,Farming-fishing,Own-child,Black,Male,0,0,40,United-States,<=50K +36,Private,247750,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,45,United-States,<=50K +23,State-gov,103588,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K +38,Federal-gov,248919,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2051,40,United-States,<=50K +29,Self-emp-not-inc,178551,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,136137,Some-college,10,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,0,0,50,United-States,>50K +47,Federal-gov,55377,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Male,0,0,40,United-States,>50K +39,Local-gov,177728,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Local-gov,243580,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K +21,?,188535,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,63910,HS-grad,9,Divorced,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +23,Private,219535,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +44,State-gov,180609,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,59313,Some-college,10,Separated,Other-service,Not-in-family,Black,Male,0,0,40,?,<=50K +70,Private,170428,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,20,Puerto-Rico,<=50K +51,Private,102615,Masters,14,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1977,40,United-States,>50K +66,Private,193132,9th,5,Separated,Other-service,Not-in-family,Black,Female,0,0,30,United-States,<=50K +57,Self-emp-inc,124137,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,136629,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +48,Self-emp-inc,148995,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K +24,?,203076,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,63424,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +43,Private,241895,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +27,Private,266973,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +32,Private,188048,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +20,Private,366929,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +33,Private,214129,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,250818,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Local-gov,240979,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +35,Private,98283,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,India,>50K +26,Private,104746,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,60,United-States,<=50K +39,Private,103710,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,60,United-States,<=50K +24,Private,159580,Bachelors,13,Never-married,Other-service,Own-child,Black,Female,0,0,75,United-States,<=50K +45,Private,117409,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +20,Private,140001,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +49,State-gov,31650,Bachelors,13,Married-civ-spouse,Prof-specialty,Other-relative,White,Female,0,0,45,United-States,<=50K +35,State-gov,80771,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,66278,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,107801,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,1617,25,United-States,<=50K +33,Private,206609,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +35,Private,282461,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +31,Private,188246,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +20,Private,279763,11th,7,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,25,United-States,<=50K +44,Private,467799,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,137674,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +50,Private,158284,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,204219,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K +28,State-gov,210498,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +60,Federal-gov,63526,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K +38,Federal-gov,216924,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,372559,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +57,Federal-gov,199114,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,2258,40,United-States,<=50K +50,Private,168539,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Local-gov,189911,11th,7,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +69,Local-gov,61958,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,1424,0,6,United-States,<=50K +51,State-gov,68898,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Male,0,2444,39,United-States,>50K +42,Private,204450,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +53,Private,311350,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +37,Private,113750,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,359591,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,132879,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,United-States,>50K +20,Private,301199,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K +38,State-gov,267540,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,38,United-States,<=50K +52,Private,185407,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,Poland,>50K +48,Self-emp-inc,191277,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +30,Private,78980,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +37,Self-emp-not-inc,241463,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,65,United-States,>50K +47,Private,216999,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +33,Local-gov,120508,Bachelors,13,Divorced,Protective-serv,Unmarried,White,Female,0,0,60,Germany,<=50K +33,Private,122612,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Thailand,<=50K +20,Private,94057,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +41,State-gov,197558,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,351869,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1485,45,United-States,>50K +54,Self-emp-not-inc,121761,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,?,<=50K +36,Federal-gov,184556,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +46,Private,268281,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,235646,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +18,Private,186909,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +62,Private,35783,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +33,Private,188861,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,363591,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +18,Private,469921,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +32,Private,51150,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,174325,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +20,Private,347530,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K +50,Private,72351,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +42,Local-gov,185129,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,?,>50K +36,Private,188571,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,255252,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,291951,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,223046,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Local-gov,37937,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,43,United-States,<=50K +38,Private,295127,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +34,Local-gov,183801,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,14,United-States,<=50K +40,Private,116218,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +40,Private,143069,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +41,Local-gov,235951,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +57,Private,112840,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +65,Local-gov,146454,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1648,4,Greece,<=50K +52,Federal-gov,43705,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +59,Private,122283,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,99999,0,40,India,>50K +18,Private,376647,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,2176,0,25,United-States,<=50K +48,Private,101299,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +45,Private,96798,5th-6th,3,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +24,Private,194654,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +27,State-gov,206889,Assoc-acdm,12,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,226902,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +44,State-gov,150755,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,5013,0,40,United-States,<=50K +24,Private,200679,HS-grad,9,Never-married,Farming-fishing,Own-child,Black,Male,0,0,50,United-States,<=50K +71,Private,183678,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,16,United-States,<=50K +17,Private,33138,12th,8,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +57,Self-emp-not-inc,57071,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,40,United-States,<=50K +71,?,35303,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,9386,0,30,United-States,>50K +37,Private,188576,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K +33,Private,169496,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,58124,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,356344,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +42,Self-emp-not-inc,444134,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,15,United-States,<=50K +18,?,340117,11th,7,Never-married,?,Unmarried,Black,Female,0,0,50,United-States,<=50K +34,Private,219619,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,?,334585,10th,6,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +27,Local-gov,331046,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +46,?,443179,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,8,United-States,<=50K +64,?,239529,11th,7,Widowed,?,Not-in-family,White,Female,3674,0,35,United-States,<=50K +24,Private,100345,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +23,Private,205653,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +33,Private,112383,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +58,Self-emp-inc,21626,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,2202,0,56,United-States,<=50K +25,Private,135568,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,190532,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K +53,Federal-gov,266598,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +38,Local-gov,116608,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K +36,Private,353263,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K +25,State-gov,157617,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Federal-gov,21698,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,77143,12th,8,Separated,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K +18,State-gov,342852,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,176602,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +26,Private,146343,Some-college,10,Married-civ-spouse,Sales,Wife,Black,Female,0,0,40,United-States,<=50K +68,?,146645,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,20051,0,50,United-States,>50K +33,Private,221966,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,2202,0,50,United-States,<=50K +22,Private,215546,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K +50,State-gov,173020,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,?,247734,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +44,Private,252202,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,497300,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K +34,Self-emp-not-inc,426431,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Federal-gov,162410,Some-college,10,Widowed,Tech-support,Not-in-family,White,Female,0,0,45,United-States,>50K +77,?,143516,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,>50K +25,Private,190350,10th,6,Married-civ-spouse,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +20,Private,194504,Some-college,10,Separated,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +46,Federal-gov,110884,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +26,Private,187652,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,81400,1st-4th,2,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,El-Salvador,<=50K +70,?,97831,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,4,United-States,<=50K +57,Private,180920,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +28,Private,189186,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,?,144172,Assoc-acdm,12,Married-civ-spouse,?,Wife,White,Female,0,0,16,United-States,<=50K +36,Private,607848,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,45,United-States,>50K +32,Private,207301,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,293073,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +36,Private,210452,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,45,United-States,<=50K +19,Private,41400,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +27,Private,164170,Bachelors,13,Never-married,Tech-support,Unmarried,Asian-Pac-Islander,Female,0,0,20,Philippines,<=50K +48,Private,112906,Masters,14,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K +49,Self-emp-not-inc,126268,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +55,Private,208311,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,20,United-States,>50K +61,Private,28291,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Female,0,0,82,United-States,<=50K +42,Local-gov,121998,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +42,Federal-gov,31621,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Local-gov,108386,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,134727,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,208391,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +35,Private,112271,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +30,Private,173350,Assoc-voc,11,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,243190,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,20,India,>50K +55,Private,185436,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K +36,Private,290409,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,80058,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,48,United-States,<=50K +56,Local-gov,370045,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +26,Private,36936,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2002,40,United-States,<=50K +37,Private,231180,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,119793,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,60,United-States,<=50K +38,Private,102178,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +76,?,135039,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +35,?,317780,Some-college,10,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +48,Private,232840,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,43,United-States,<=50K +35,Private,33975,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Local-gov,256997,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +64,Private,298301,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,310380,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +45,Local-gov,182100,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +27,Private,501172,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Mexico,<=50K +43,State-gov,143939,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,>50K +23,Private,85088,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,37,United-States,<=50K +25,Private,282313,10th,6,Never-married,Handlers-cleaners,Own-child,Black,Male,0,1602,40,United-States,<=50K +39,Private,230054,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +63,Private,236338,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,35,United-States,<=50K +37,Private,321943,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +26,Federal-gov,218782,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Other,Male,0,0,40,United-States,<=50K +33,Private,191385,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Canada,<=50K +45,Self-emp-inc,185497,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,70,?,<=50K +28,Private,126129,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,199268,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +34,Private,255693,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K +34,Private,203488,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,203233,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,Private,203836,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +36,Private,187847,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +38,Private,116358,Some-college,10,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +46,Self-emp-inc,198660,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,72,United-States,>50K +43,Self-emp-not-inc,89636,Bachelors,13,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,0,60,South,<=50K +49,Private,120629,Some-college,10,Widowed,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +26,Local-gov,150226,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K +28,Private,137898,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +54,Self-emp-inc,146574,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +53,Private,88725,HS-grad,9,Never-married,Craft-repair,Not-in-family,Other,Female,0,0,40,?,<=50K +24,Private,142022,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K +23,Private,284898,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,30,United-States,<=50K +55,Local-gov,212448,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Self-emp-not-inc,203039,9th,5,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,227489,HS-grad,9,Never-married,Tech-support,Other-relative,Black,Male,0,0,40,?,<=50K +19,Private,105289,10th,6,Never-married,Other-service,Other-relative,Black,Female,0,0,20,United-States,<=50K +28,?,223745,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Private,242994,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,52,United-States,<=50K +30,Private,196385,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +76,Private,116202,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,33,United-States,<=50K +47,Private,140045,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,133503,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,2174,0,40,United-States,<=50K +40,Private,226585,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K +24,Private,85041,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +30,Private,162442,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,50,United-States,>50K +67,Private,279980,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,10605,0,10,United-States,>50K +24,Private,216563,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +43,Local-gov,231964,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,263855,12th,8,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +40,Private,124915,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +61,Federal-gov,178312,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +45,Local-gov,215862,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,45,United-States,>50K +21,State-gov,39236,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,50,United-States,<=50K +58,Private,349910,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +52,Private,75839,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,176711,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,266525,Some-college,10,Never-married,Prof-specialty,Other-relative,Black,Female,594,0,20,United-States,<=50K +25,?,34307,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,331776,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,111469,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,State-gov,198965,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +25,Private,288185,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +21,Private,198050,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +65,Private,242580,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,11678,0,50,United-States,>50K +37,Private,173128,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,87905,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,10520,0,40,United-States,>50K +44,Private,173704,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +37,Federal-gov,93225,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,40,United-States,>50K +38,Private,323269,Some-college,10,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K +35,Private,158046,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5013,0,70,United-States,<=50K +32,Private,133503,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,172296,Some-college,10,Separated,Sales,Unmarried,White,Male,0,0,60,United-States,<=50K +39,?,201105,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,30,United-States,<=50K +23,Private,176486,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,25,United-States,<=50K +25,Self-emp-inc,182750,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,>50K +23,Private,82497,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,28,United-States,<=50K +47,Private,208872,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,145269,11th,7,Divorced,Craft-repair,Not-in-family,White,Female,0,0,45,United-States,<=50K +25,Private,19214,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,149347,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +68,?,53850,7th-8th,4,Married-civ-spouse,?,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +50,Private,158294,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,3103,0,40,United-States,>50K +47,Private,152073,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,189623,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +24,Private,341368,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,201603,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,2176,0,40,United-States,<=50K +35,Private,270572,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +30,Private,285295,Bachelors,13,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +17,Private,126779,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K +49,?,202874,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,40,Columbia,<=50K +27,Private,373499,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,60,El-Salvador,<=50K +22,Private,244773,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,15,United-States,<=50K +22,State-gov,96862,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +50,Private,162632,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,2,United-States,<=50K +51,Self-emp-not-inc,159755,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,>50K +27,Private,37088,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,30,United-States,<=50K +27,Private,335421,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +23,Never-worked,188535,7th-8th,4,Divorced,?,Not-in-family,White,Male,0,0,35,United-States,<=50K +20,State-gov,349365,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,33002,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K +32,Private,330715,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K +45,Private,146857,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K +35,Private,275522,7th-8th,4,Widowed,Other-service,Unmarried,White,Female,0,0,80,United-States,<=50K +22,Private,43646,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,154548,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +28,Private,47907,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,238397,Bachelors,13,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,24,United-States,<=50K +48,Local-gov,195949,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,42,United-States,>50K +22,?,354351,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,349169,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +25,Private,158662,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,50,United-States,>50K +23,Local-gov,23438,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,107302,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +43,Private,174196,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +49,Local-gov,226871,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K +23,Private,124971,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,214061,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,441700,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +44,Self-emp-inc,104892,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,58,United-States,>50K +34,Private,234386,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +29,Local-gov,188278,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,244395,11th,7,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +35,Private,30916,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +48,Private,219565,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,377486,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,36,United-States,<=50K +42,Local-gov,137232,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Female,0,0,50,United-States,<=50K +53,Private,233369,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,71067,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K +59,Private,195176,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,72,United-States,<=50K +31,Private,98639,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +34,Private,183778,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,123011,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,2559,50,United-States,>50K +25,Private,164938,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,4416,0,40,United-States,<=50K +28,?,147471,HS-grad,9,Divorced,?,Own-child,White,Female,0,0,10,United-States,<=50K +30,Private,206046,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,40,United-States,>50K +46,Private,81497,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,48,United-States,<=50K +45,Private,189225,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,141264,Some-college,10,Never-married,Exec-managerial,Other-relative,Black,Female,0,0,40,United-States,<=50K +33,Private,97939,Assoc-acdm,12,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,42,United-States,<=50K +44,Private,160829,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,20,United-States,>50K +25,Private,483822,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,El-Salvador,<=50K +48,State-gov,148738,Some-college,10,Divorced,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,289982,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Self-emp-not-inc,58702,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,3103,0,50,United-States,>50K +20,Private,146706,Some-college,10,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,30,United-States,<=50K +23,Private,420973,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +71,Private,124959,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,State-gov,121471,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,198237,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +27,Private,280758,11th,7,Never-married,Craft-repair,Other-relative,White,Male,0,0,60,United-States,<=50K +40,Private,191544,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +30,Private,261023,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,50,United-States,<=50K +30,State-gov,231043,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,340917,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,167140,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,40,United-States,<=50K +39,Private,370795,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +39,Federal-gov,209609,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +74,Private,209454,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +32,Self-emp-inc,78530,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +25,Private,88922,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +64,Private,86972,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Self-emp-not-inc,165468,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K +37,Private,134367,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,37,United-States,>50K +47,Private,199058,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +33,Private,183612,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +40,Private,191982,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K +22,Private,514033,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,80,United-States,<=50K +56,Private,172364,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,190105,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,55,United-States,<=50K +30,Self-emp-inc,119422,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +20,Private,236592,12th,8,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,Italy,<=50K +53,State-gov,43952,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,38,United-States,>50K +43,Private,194636,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +23,Private,235853,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,150528,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +30,Private,213722,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,41432,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,46,United-States,<=50K +22,Private,285775,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,470663,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +54,Self-emp-not-inc,114520,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,113466,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,224559,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +59,Private,186385,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +28,?,167094,10th,6,Divorced,?,Not-in-family,White,Male,0,0,50,United-States,<=50K +18,?,216508,12th,8,Never-married,?,Not-in-family,White,Male,0,0,25,United-States,<=50K +41,Local-gov,384236,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,181265,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K +58,Private,190997,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +24,Private,98287,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,103456,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +28,Private,184723,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,1980,35,United-States,<=50K +25,Private,165622,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K +29,Private,101597,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,54,United-States,<=50K +53,Private,146378,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +63,Local-gov,152163,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +26,State-gov,106812,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K +21,Private,148211,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,3674,0,50,United-States,<=50K +45,Private,187581,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +29,Private,135296,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +72,Local-gov,144515,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1258,40,United-States,<=50K +51,Private,210736,10th,6,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +21,Private,210165,9th,5,Married-spouse-absent,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,224584,Some-college,10,Divorced,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +38,Private,80771,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +46,Private,164733,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,41,United-States,<=50K +31,Self-emp-not-inc,119411,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,>50K +68,Local-gov,177596,10th,6,Separated,Other-service,Not-in-family,Black,Female,0,0,90,United-States,<=50K +43,?,396116,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,185251,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +44,Private,173590,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,3,United-States,<=50K +56,Federal-gov,196307,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +20,?,293091,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,12,United-States,<=50K +36,Private,175232,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K +21,Private,51047,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +21,Private,334618,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Female,99999,0,40,United-States,>50K +52,Local-gov,152795,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +56,Self-emp-inc,205601,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,70,United-States,>50K +52,Private,129177,Bachelors,13,Widowed,Other-service,Not-in-family,White,Female,0,2824,20,United-States,>50K +51,Self-emp-not-inc,121548,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K +29,Private,244566,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +36,Private,75073,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,55,United-States,<=50K +29,Private,179008,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K +21,Private,170800,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +58,Private,373344,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,127961,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,99392,Some-college,10,Divorced,Craft-repair,Not-in-family,Black,Female,0,0,45,United-States,<=50K +30,Private,392812,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,Germany,<=50K +29,Private,262478,HS-grad,9,Never-married,Farming-fishing,Own-child,Black,Male,0,0,30,United-States,<=50K +48,Self-emp-not-inc,32825,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Self-emp-not-inc,167380,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,203204,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,25,United-States,>50K +35,Federal-gov,105138,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +54,Private,145714,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,7688,0,25,United-States,>50K +24,Private,182276,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,United-States,<=50K +20,Private,275385,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,45,United-States,<=50K +30,Self-emp-not-inc,292472,Some-college,10,Married-civ-spouse,Sales,Husband,Amer-Indian-Eskimo,Male,0,0,55,United-States,>50K +19,Self-emp-not-inc,73514,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,30,United-States,<=50K +26,Private,199600,HS-grad,9,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K +38,Private,111499,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1977,99,United-States,>50K +25,Private,202560,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,99309,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K +60,Local-gov,124987,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +30,Private,287986,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,119411,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,198668,7th-8th,4,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,117583,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,234664,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +20,?,114357,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,State-gov,176949,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,<=50K +33,Private,189710,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,Mexico,<=50K +65,Private,205309,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,24,United-States,<=50K +34,Private,195576,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +20,Private,216825,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,25,Mexico,<=50K +23,?,329174,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,197036,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,181291,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,1564,50,United-States,>50K +31,Private,206512,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +28,State-gov,38309,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,6849,0,40,United-States,<=50K +37,Private,312766,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,Private,139671,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +66,Federal-gov,38621,Assoc-voc,11,Widowed,Other-service,Unmarried,Black,Female,3273,0,40,United-States,<=50K +31,Private,124827,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,77820,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +45,Federal-gov,56904,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,5013,0,45,United-States,<=50K +45,Private,190115,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +44,Private,106682,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +32,Local-gov,42596,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,143058,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,>50K +53,Private,102615,11th,7,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,Canada,<=50K +54,Private,139703,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,Germany,>50K +43,Private,240124,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,132565,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +49,Private,323798,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,3325,0,50,United-States,<=50K +52,Private,96359,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,57,United-States,>50K +20,Private,165201,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,4,United-States,<=50K +60,Federal-gov,165630,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,40,United-States,>50K +45,Private,264526,Assoc-acdm,12,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +48,Private,102359,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,United-States,>50K +28,Private,37359,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +61,?,232618,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +48,Local-gov,115497,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,157747,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K +27,Self-emp-not-inc,41099,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +38,Private,472604,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,Mexico,<=50K +33,Private,348618,5th-6th,3,Married-spouse-absent,Transport-moving,Unmarried,Other,Male,0,0,20,El-Salvador,<=50K +43,Private,135606,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +36,Private,248445,HS-grad,9,Separated,Transport-moving,Other-relative,White,Male,0,0,60,Mexico,<=50K +38,Private,112093,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +24,Local-gov,197552,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,303822,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,288566,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +55,?,487411,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +46,Self-emp-not-inc,43348,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K +39,State-gov,239409,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K +50,Private,337606,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1485,40,United-States,<=50K +34,Private,32528,Assoc-voc,11,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,974,40,United-States,<=50K +47,State-gov,118447,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +46,Private,234690,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +23,?,141003,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K +43,Private,216042,Some-college,10,Divorced,Tech-support,Own-child,White,Female,0,1617,72,United-States,<=50K +45,Private,190482,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +55,Private,381965,Bachelors,13,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +68,Private,186943,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,8,United-States,<=50K +39,Private,142707,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,53447,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,127772,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,344414,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,194138,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +49,?,558183,Assoc-voc,11,Married-spouse-absent,?,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,150154,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,306114,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +72,?,177121,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,3,United-States,<=50K +58,Local-gov,368797,Masters,14,Widowed,Prof-specialty,Unmarried,White,Male,0,0,35,United-States,>50K +43,Self-emp-inc,175715,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,55,United-States,<=50K +62,Private,416829,11th,7,Separated,Other-service,Not-in-family,Black,Female,0,0,21,United-States,<=50K +21,Private,350001,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K +26,Private,339952,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +27,Private,114967,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,164190,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,38,United-States,>50K +49,Local-gov,166039,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,250135,HS-grad,9,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K +34,Self-emp-not-inc,234960,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,1887,48,United-States,>50K +29,Private,103628,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +58,Private,430005,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +45,Self-emp-inc,106517,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Self-emp-not-inc,162236,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Private,92430,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +52,Local-gov,40641,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K +47,Private,169388,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,15,United-States,<=50K +36,Local-gov,410034,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +48,Private,237525,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,65,United-States,>50K +35,Private,150057,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +49,Private,148549,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K +43,Private,75742,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +33,Private,177675,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Germany,>50K +49,Local-gov,193249,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,266072,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,20,El-Salvador,<=50K +28,?,80165,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +25,Private,339324,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +69,?,111238,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +41,Self-emp-not-inc,284086,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +31,Private,206051,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +57,Private,426263,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,>50K +49,Private,102583,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,44,United-States,>50K +40,Private,277647,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +55,Private,124808,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,Germany,>50K +47,Private,193061,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +50,Private,121411,12th,8,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,89202,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,United-States,<=50K +17,Private,232900,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +30,Local-gov,319280,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +79,?,165209,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,193494,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +67,Self-emp-not-inc,195066,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,99146,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +35,Private,92028,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +27,Private,174419,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,57916,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,383384,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,198223,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,45,United-States,>50K +20,Private,109813,11th,7,Never-married,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K +17,Private,174298,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +40,Private,45687,Some-college,10,Divorced,Other-service,Not-in-family,Black,Male,4787,0,50,United-States,>50K +28,Private,263614,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +33,Private,96128,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +55,Private,220262,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Self-emp-not-inc,35340,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +47,Private,280483,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K +52,Self-emp-inc,254211,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K +29,Private,351324,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,58602,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +37,Private,64922,Bachelors,13,Separated,Other-service,Not-in-family,White,Male,0,0,70,England,<=50K +41,Federal-gov,185616,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,1980,40,United-States,<=50K +43,Private,185832,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K +24,Private,254767,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,2105,0,50,United-States,<=50K +39,Federal-gov,32312,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +47,Self-emp-not-inc,109421,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +42,Private,183205,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +39,Private,156897,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,2258,42,United-States,>50K +48,Local-gov,145886,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,<=50K +47,Local-gov,29819,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1977,50,United-States,>50K +27,Private,244566,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,253801,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Ecuador,<=50K +22,Private,181313,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +37,State-gov,150566,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K +38,Private,237713,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +32,Private,112137,Preschool,1,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,4508,0,40,Cambodia,<=50K +48,Local-gov,187969,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,80,United-States,<=50K +46,Self-emp-not-inc,224108,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K +51,Private,174754,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,38,United-States,<=50K +28,Self-emp-inc,219705,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,55,United-States,<=50K +35,Private,167062,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,190325,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K +45,Private,108859,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,344351,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +73,Private,153127,Some-college,10,Widowed,Priv-house-serv,Unmarried,White,Female,0,0,10,United-States,<=50K +52,Private,180881,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,183066,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +29,Federal-gov,339002,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +31,Private,185480,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,?,>50K +20,Private,172047,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,10,United-States,<=50K +42,Private,94600,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K +37,Private,302604,Some-college,10,Separated,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +40,Private,248094,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,36467,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +29,Private,53181,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +20,Private,181032,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +26,Private,248990,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +25,Private,40512,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,3674,0,30,United-States,<=50K +37,Private,117381,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,80,United-States,>50K +18,?,173125,12th,8,Never-married,?,Own-child,White,Female,0,0,24,United-States,<=50K +33,?,316663,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,50,United-States,<=50K +26,Private,154966,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +24,Private,198259,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +33,Private,167939,HS-grad,9,Married-civ-spouse,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +23,Private,131275,HS-grad,9,Never-married,Craft-repair,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +20,?,236523,10th,6,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +36,Private,272950,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +37,Private,174503,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +24,Private,116800,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,35,United-States,<=50K +38,Private,110713,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +50,Private,202044,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K +44,Private,300528,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +46,Private,54985,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K +57,Private,133126,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Female,0,0,40,United-States,<=50K +37,Private,74593,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K +44,Private,302424,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,55,United-States,<=50K +21,Private,344492,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +31,Private,349148,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +32,Private,222221,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,42,United-States,>50K +45,Private,234699,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,60,United-States,>50K +20,Local-gov,243178,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +52,Private,189728,HS-grad,9,Separated,Priv-house-serv,Not-in-family,White,Female,0,0,50,United-States,<=50K +47,Self-emp-not-inc,318593,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K +41,Private,108681,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +40,Private,187376,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +41,State-gov,75409,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +46,Private,172581,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K +49,Private,266150,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +65,Private,271092,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,?,<=50K +50,Private,135643,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Female,0,0,40,China,<=50K +59,Private,46466,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +18,Private,130652,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +47,Local-gov,114459,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K +47,?,109832,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,5178,0,30,Canada,>50K +45,Private,195554,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +17,Private,244589,11th,7,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +45,Self-emp-inc,271901,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,32,United-States,>50K +73,Private,139978,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,180446,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +64,?,178724,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K +38,State-gov,341643,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +37,Federal-gov,289653,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +62,Self-emp-inc,118725,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,20051,0,72,United-States,>50K +26,Private,187891,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +46,Self-emp-inc,116338,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K +46,Private,102771,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,40,United-States,>50K +51,Private,89652,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,4787,0,24,United-States,>50K +54,Federal-gov,439608,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +65,Private,330144,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,251905,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +37,Private,218955,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,188972,Doctorate,16,Separated,Prof-specialty,Unmarried,White,Female,0,0,10,Canada,<=50K +60,Self-emp-not-inc,25825,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K +33,Private,202046,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,2001,40,United-States,<=50K +62,Private,116104,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,Germany,<=50K +20,Private,194891,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,125550,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,14084,0,35,United-States,>50K +66,Private,116468,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,2936,0,20,United-States,<=50K +32,?,285131,Assoc-acdm,12,Never-married,?,Unmarried,White,Male,0,0,20,United-States,<=50K +29,State-gov,409201,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +70,Self-emp-inc,379819,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,10566,0,40,United-States,<=50K +74,Private,97167,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,15,United-States,<=50K +37,Local-gov,244803,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K +51,Self-emp-not-inc,115851,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,118058,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +42,Private,258589,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K +26,Private,158810,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,<=50K +27,Local-gov,92431,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,2231,40,United-States,>50K +58,Self-emp-not-inc,165695,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,<=50K +30,?,97281,Some-college,10,Separated,?,Not-in-family,White,Male,0,0,60,United-States,<=50K +32,Private,244147,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,1876,50,United-States,<=50K +66,Self-emp-inc,253741,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1825,10,United-States,>50K +23,Private,170482,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K +35,Private,241001,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,<=50K +50,Private,165001,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +17,?,297117,11th,7,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,340260,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,48,United-States,<=50K +31,Private,96480,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +30,Private,185177,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,49,United-States,<=50K +84,Self-emp-inc,172907,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K +35,Self-emp-not-inc,308874,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,54098,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K +46,Private,288608,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +50,Local-gov,254148,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +37,Private,111128,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,171116,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +53,Self-emp-inc,96062,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,48,United-States,>50K +27,Federal-gov,276776,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +22,Private,152878,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,149211,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,58343,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K +38,Private,127601,Some-college,10,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,35,United-States,<=50K +29,Private,357781,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,137367,Some-college,10,Never-married,Handlers-cleaners,Other-relative,Asian-Pac-Islander,Male,0,0,44,Philippines,<=50K +34,Private,110978,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +31,Private,34503,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +30,Private,84119,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,40,United-States,<=50K +20,Private,223515,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,372525,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,0,0,48,United-States,<=50K +32,Private,116365,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K +36,Private,111268,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +54,Private,225599,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,7298,0,40,India,>50K +78,?,83511,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,Portugal,<=50K +46,Self-emp-not-inc,199596,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +18,Private,301867,HS-grad,9,Never-married,Sales,Own-child,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K +57,Private,191983,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K +37,Private,105803,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,456236,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +45,Private,116255,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +32,Private,235109,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Federal-gov,91716,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,121102,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,2001,30,United-States,<=50K +70,Private,235781,Some-college,10,Divorced,Farming-fishing,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +40,Private,136986,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +40,Self-emp-not-inc,33658,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,53878,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +29,Private,200928,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +24,Private,173736,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K +28,Private,214385,Assoc-voc,11,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K +58,Private,102509,10th,6,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,50,United-States,<=50K +38,Private,173047,Bachelors,13,Divorced,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,213,40,Philippines,<=50K +59,Self-emp-not-inc,241297,Some-college,10,Widowed,Farming-fishing,Not-in-family,White,Female,6849,0,40,United-States,<=50K +18,Private,329054,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +40,Private,274158,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +39,Self-emp-inc,241153,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,200117,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,1887,50,?,>50K +45,Private,229516,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,72,Mexico,<=50K +62,?,250091,Bachelors,13,Divorced,?,Not-in-family,White,Male,0,0,5,United-States,<=50K +24,State-gov,247075,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,20,United-States,<=50K +22,Private,315524,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,30,Dominican-Republic,<=50K +23,Private,126945,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +39,Self-emp-not-inc,29874,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,>50K +28,Private,115579,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,0,0,38,United-States,<=50K +51,Private,29580,11th,7,Married-civ-spouse,Sales,Husband,White,Male,4386,0,30,United-States,>50K +44,Private,56483,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,37,United-States,<=50K +73,?,89852,1st-4th,2,Married-civ-spouse,?,Husband,White,Male,0,0,40,Portugal,<=50K +24,Private,420779,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,35,United-States,<=50K +24,Private,255474,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,241444,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,50,Puerto-Rico,<=50K +43,Private,85995,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +67,Self-emp-inc,116986,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K +31,Private,217962,12th,8,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,?,<=50K +36,Private,20507,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,50,United-States,>50K +43,Private,184099,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,117816,7th-8th,4,Divorced,Handlers-cleaners,Other-relative,White,Male,0,0,70,United-States,<=50K +23,Private,263899,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,Haiti,<=50K +26,Private,45869,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +48,Private,186539,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,326310,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +55,Local-gov,84564,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,39,United-States,<=50K +49,Private,247294,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +34,Private,72793,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K +29,Private,261375,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,60,United-States,<=50K +50,Private,77905,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K +19,Private,66838,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,9,United-States,<=50K +63,State-gov,194682,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K +66,Private,180211,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,30,Philippines,<=50K +65,?,79272,Some-college,10,Widowed,?,Not-in-family,Asian-Pac-Islander,Female,0,0,6,United-States,<=50K +60,Private,101198,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K +60,Private,80574,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K +19,Private,198663,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +26,Self-emp-inc,160340,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +75,Self-emp-not-inc,205860,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,1735,40,United-States,<=50K +58,State-gov,69579,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +18,Self-emp-not-inc,379242,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +65,Private,113323,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,3818,0,40,United-States,<=50K +50,Self-emp-not-inc,312477,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K +26,Private,259505,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +45,Federal-gov,171335,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +19,?,541282,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +29,Federal-gov,155970,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +52,Private,99682,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,52,Canada,>50K +23,Private,117789,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +21,Private,296158,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +48,Local-gov,78859,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +59,?,188070,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,>50K +50,Private,189811,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +41,State-gov,518030,Bachelors,13,Never-married,Protective-serv,Not-in-family,Black,Male,0,1590,40,Puerto-Rico,<=50K +32,Private,360593,HS-grad,9,Divorced,Sales,Unmarried,Black,Female,0,0,30,United-States,<=50K +40,Private,145504,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K +19,Private,459248,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K +30,?,288419,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,40,Mexico,<=50K +42,State-gov,126094,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Male,0,0,39,United-States,<=50K +23,Private,209483,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,50,United-States,<=50K +37,Self-emp-not-inc,32239,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,27828,0,40,United-States,>50K +21,Private,210355,11th,7,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,24,United-States,<=50K +28,Private,84547,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +50,?,260579,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K +20,Private,105585,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K +21,Private,132320,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +21,Private,129172,Some-college,10,Never-married,Other-service,Other-relative,White,Male,0,0,16,United-States,<=50K +45,Self-emp-not-inc,222374,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Self-emp-inc,201498,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +53,Self-emp-inc,251675,Some-college,10,Divorced,Sales,Not-in-family,White,Male,8614,0,50,Cuba,>50K +41,Private,114157,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +48,Local-gov,148121,Bachelors,13,Married-spouse-absent,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +73,?,84053,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,15,United-States,<=50K +34,Private,96480,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,179423,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +58,State-gov,123329,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,16,United-States,<=50K +41,Private,134130,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +53,Private,188644,Preschool,1,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +40,Private,226388,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +28,Self-emp-not-inc,209205,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +32,Private,209808,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1740,47,United-States,<=50K +44,Self-emp-inc,56236,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,2202,0,45,United-States,<=50K +18,Private,28648,11th,7,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +37,State-gov,34996,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,281422,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,45,United-States,<=50K +22,Private,214716,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +28,Private,314177,10th,6,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K +51,Private,112310,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +63,Private,203783,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,72,United-States,<=50K +29,Private,205499,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,<=50K +44,Private,145441,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,48,United-States,>50K +44,Private,155701,7th-8th,4,Separated,Other-service,Unmarried,White,Female,0,0,38,Peru,<=50K +37,State-gov,186934,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +62,Federal-gov,209433,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +31,Private,80933,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K +20,Private,102607,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +48,Private,254809,10th,6,Divorced,Machine-op-inspct,Unmarried,White,Female,0,1594,32,United-States,<=50K +24,Self-emp-not-inc,102942,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +56,State-gov,175057,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +36,Federal-gov,68781,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K +29,Private,108594,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,98283,Prof-school,15,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,1564,40,India,>50K +39,Private,56269,Some-college,10,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +29,Private,152503,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,45,United-States,<=50K +38,Self-emp-inc,206951,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K +23,Private,82393,9th,5,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,20,Philippines,<=50K +37,Private,167396,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Guatemala,<=50K +30,Self-emp-not-inc,123397,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +58,?,147653,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,36,United-States,<=50K +42,Private,118652,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +59,Local-gov,114401,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,1504,19,United-States,<=50K +45,Private,186272,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,7298,0,40,United-States,>50K +46,Private,182689,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,231016,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,4650,0,37,United-States,<=50K +41,Self-emp-inc,60949,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K +49,Private,129513,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +37,Private,84306,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,117507,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +22,Private,88050,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,6,United-States,<=50K +22,Private,305498,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,33,United-States,<=50K +17,Private,295308,11th,7,Never-married,Priv-house-serv,Own-child,White,Female,0,0,20,United-States,<=50K +47,Private,114459,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +17,Private,176017,10th,6,Never-married,Other-service,Other-relative,White,Male,0,0,15,United-States,<=50K +39,Private,248445,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +23,Private,214542,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +41,Private,384508,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +36,Federal-gov,403489,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +52,Private,143953,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +21,Private,254904,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,30,United-States,<=50K +33,Private,98995,10th,6,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,36,United-States,<=50K +17,?,237078,11th,7,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +41,Private,193995,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K +19,Private,205829,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +38,Federal-gov,205852,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,>50K +24,Private,37072,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,275338,Bachelors,13,Divorced,Sales,Unmarried,White,Female,1151,0,40,United-States,<=50K +39,State-gov,122353,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +19,Private,100009,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +31,?,37030,Assoc-acdm,12,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K +42,Private,135056,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +36,Private,135162,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,45,?,<=50K +29,Private,280618,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,226717,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +47,Local-gov,173938,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +24,Private,291355,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +61,Federal-gov,160155,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +40,Self-emp-not-inc,29762,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +31,?,82473,9th,5,Divorced,?,Not-in-family,White,Female,0,0,25,United-States,<=50K +59,Private,172071,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,38,Jamaica,<=50K +29,Private,166210,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,55,United-States,<=50K +26,Private,330263,HS-grad,9,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,247043,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +56,Federal-gov,155238,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +25,Private,130557,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,56986,12th,8,Never-married,Sales,Own-child,White,Female,0,0,18,United-States,<=50K +29,Private,220692,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +23,Private,121650,5th-6th,3,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,30,United-States,<=50K +67,Private,174603,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +29,Private,341846,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +33,Private,99339,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,880,40,United-States,<=50K +32,Private,34437,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,141058,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,62,Mexico,<=50K +49,Private,192323,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,117674,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K +39,Private,28572,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,120277,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,164309,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +47,Federal-gov,102771,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +27,Private,147951,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,1,United-States,<=50K +23,Private,188409,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,4508,0,25,United-States,<=50K +44,Private,173888,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,>50K +25,Private,247006,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +23,Private,82889,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K +52,Private,259363,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +62,Federal-gov,159165,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,36,United-States,<=50K +31,Private,112062,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,299050,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +22,?,186452,Some-college,10,Never-married,?,Own-child,White,Male,0,0,36,United-States,<=50K +53,Private,548580,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Guatemala,<=50K +25,Private,234057,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,241350,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +69,Private,108196,9th,5,Never-married,Craft-repair,Other-relative,White,Male,2993,0,40,United-States,<=50K +49,Private,278322,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +42,Private,157443,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,27,Taiwan,>50K +44,Self-emp-not-inc,37618,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +56,Local-gov,238582,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,United-States,>50K +37,State-gov,28887,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +37,Private,77820,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +22,Private,110946,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Local-gov,230420,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +36,Private,206521,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,?,156877,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,20,United-States,<=50K +28,Local-gov,283227,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K +28,Private,141957,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,58337,10th,6,Never-married,Sales,Unmarried,White,Female,0,0,35,?,<=50K +73,Local-gov,161027,5th-6th,3,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,20,United-States,<=50K +37,Self-emp-not-inc,31670,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +24,Private,205844,Bachelors,13,Never-married,Exec-managerial,Own-child,Black,Female,0,0,65,United-States,<=50K +30,State-gov,46144,HS-grad,9,Married-AF-spouse,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K +38,Private,168055,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,98350,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +69,?,182668,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,>50K +43,Private,208613,Prof-school,15,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,99999,0,40,United-States,>50K +42,Private,334522,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +54,State-gov,187686,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +27,State-gov,365916,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,58,United-States,<=50K +39,Private,190719,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +27,Private,218184,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,Jamaica,<=50K +30,Private,222162,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,66,United-States,<=50K +30,Private,148524,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2057,40,United-States,<=50K +37,Private,267085,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Federal-gov,307555,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K +36,Private,229180,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,Cuba,<=50K +22,Private,279041,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,10,United-States,<=50K +21,Private,312017,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,54782,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1579,42,United-States,<=50K +76,Private,70697,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +22,?,263970,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,28,United-States,<=50K +37,Private,188774,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,302770,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +29,Private,183639,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,97,United-States,<=50K +29,Private,178551,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,175343,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +73,Self-emp-not-inc,190078,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +43,Private,117627,Some-college,10,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +39,Private,108419,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +74,Private,183701,10th,6,Widowed,Other-service,Not-in-family,Black,Female,0,0,6,United-States,<=50K +27,State-gov,208406,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +47,Private,148884,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +90,Private,87285,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K +47,Private,199058,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +42,Private,173628,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +69,Private,370837,Bachelors,13,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,?,179484,12th,8,Never-married,?,Own-child,Other,Male,0,0,40,United-States,<=50K +23,Private,342769,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,20,United-States,<=50K +44,Local-gov,65145,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +41,Private,150533,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,2829,0,40,United-States,<=50K +47,Local-gov,272182,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +43,Private,403467,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,7688,0,40,United-States,>50K +33,Private,252168,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +48,Private,80430,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +39,Private,189623,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,60,United-States,<=50K +43,Private,115806,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,2547,40,United-States,>50K +18,?,28357,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +52,Private,226084,HS-grad,9,Widowed,Priv-house-serv,Other-relative,White,Female,0,0,40,United-States,<=50K +18,Private,150817,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +27,Self-emp-inc,190911,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K +27,Self-emp-inc,120126,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,45,United-States,>50K +45,Local-gov,255559,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +79,?,142370,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K +24,Private,173679,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +25,Private,35854,Some-college,10,Married-spouse-absent,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Self-emp-not-inc,82161,10th,6,Widowed,Transport-moving,Unmarried,White,Male,0,0,35,United-States,<=50K +63,Self-emp-not-inc,129845,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,226505,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,46,United-States,>50K +47,Private,151584,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K +42,Private,136419,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +42,Private,66460,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +63,Local-gov,379940,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +37,Local-gov,102936,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,55,United-States,<=50K +65,Private,205309,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,20,United-States,<=50K +30,?,156890,10th,6,Divorced,?,Unmarried,White,Male,0,0,40,United-States,<=50K +62,Private,208711,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,50,United-States,>50K +46,Private,137547,HS-grad,9,Divorced,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +23,Private,220168,HS-grad,9,Never-married,Sales,Other-relative,Black,Female,0,0,25,Jamaica,<=50K +47,Local-gov,37672,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,<=50K +20,Private,196643,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +21,?,355686,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K +28,Private,197484,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +61,Local-gov,115023,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +30,State-gov,234824,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,72,United-States,<=50K +30,State-gov,361497,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,>50K +29,Private,351871,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +39,Private,324231,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,123490,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +32,Private,188245,11th,7,Never-married,Priv-house-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K +63,Private,50349,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,34,United-States,<=50K +19,Self-emp-not-inc,47176,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,15,United-States,<=50K +57,State-gov,290661,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K +41,Private,221172,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +23,Private,188950,Assoc-voc,11,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,356882,Doctorate,16,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +43,Self-emp-inc,150533,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +64,Self-emp-not-inc,167149,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K +56,Private,301835,5th-6th,3,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,313729,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,130957,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +17,Private,197732,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K +17,Private,250541,10th,6,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K +29,Private,218785,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,65,United-States,<=50K +23,?,232512,HS-grad,9,Separated,?,Own-child,White,Female,0,0,40,United-States,<=50K +37,Private,194630,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +39,Private,38721,HS-grad,9,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,22,United-States,<=50K +36,Private,201519,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +50,Private,279337,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K +41,?,27187,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,2415,12,United-States,>50K +31,Private,87560,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,50,United-States,<=50K +71,?,100820,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,2489,15,United-States,<=50K +56,Private,208431,Some-college,10,Widowed,Exec-managerial,Not-in-family,Black,Female,0,0,32,United-States,<=50K +51,Private,143822,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +20,Private,163205,Some-college,10,Separated,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +53,Private,171924,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,14344,0,55,United-States,>50K +33,State-gov,137616,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,35,United-States,<=50K +27,Private,156516,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,2377,20,United-States,<=50K +40,Private,119101,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K +45,Private,117556,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,32,United-States,<=50K +54,Private,147863,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,5013,0,40,Vietnam,<=50K +33,Self-emp-not-inc,24504,HS-grad,9,Separated,Craft-repair,Other-relative,White,Male,0,0,50,United-States,<=50K +27,?,157624,HS-grad,9,Separated,?,Other-relative,White,Female,0,0,40,United-States,<=50K +36,Private,181721,10th,6,Never-married,Farming-fishing,Own-child,Black,Male,0,0,60,United-States,<=50K +42,Local-gov,55363,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +33,Private,92865,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +19,Private,258633,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,?,<=50K +52,Federal-gov,221532,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +41,Local-gov,183224,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,Taiwan,>50K +30,Private,381153,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,300871,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,33710,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,60,United-States,>50K +26,Private,158333,5th-6th,3,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,Columbia,<=50K +36,Private,288103,11th,7,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +35,Private,108907,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +46,Private,358533,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K +24,Private,126613,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,8,United-States,<=50K +30,Private,164190,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,52,United-States,>50K +38,Private,199816,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +50,Private,98228,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K +41,Local-gov,129060,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +38,Private,22245,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +36,Private,226918,Bachelors,13,Never-married,Sales,Not-in-family,Black,Male,0,0,48,United-States,<=50K +47,Private,398652,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +59,Private,268840,Some-college,10,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,16,United-States,>50K +35,?,103710,Bachelors,13,Divorced,?,Unmarried,White,Female,0,0,16,?,<=50K +59,Private,91384,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +52,Private,174767,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +37,Self-emp-inc,126675,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +52,Private,82285,Bachelors,13,Married-spouse-absent,Other-service,Other-relative,Black,Female,0,0,40,Haiti,<=50K +51,Private,177727,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +67,Self-emp-not-inc,345236,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +58,?,347692,11th,7,Divorced,?,Not-in-family,Black,Male,0,0,15,United-States,<=50K +68,Private,156000,10th,6,Widowed,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K +71,Private,228806,9th,5,Divorced,Priv-house-serv,Not-in-family,Black,Female,0,0,6,United-States,<=50K +49,Local-gov,184428,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +35,Local-gov,102938,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,161063,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,253752,10th,6,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,40,United-States,<=50K +47,Self-emp-not-inc,274800,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +31,Private,129804,9th,5,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K +22,Federal-gov,65547,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +20,Private,107658,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,10,United-States,<=50K +57,Private,161097,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,26,United-States,<=50K +18,Private,118376,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +32,Private,131224,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,120985,HS-grad,9,Divorced,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,215392,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Private,63685,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,50,Cambodia,<=50K +48,Private,131826,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +39,Private,211440,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K +35,Private,31023,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +40,Private,145439,5th-6th,3,Married-civ-spouse,Other-service,Husband,Other,Male,4064,0,40,Mexico,<=50K +19,Private,255161,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K +28,Private,411950,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,275818,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,1974,40,United-States,<=50K +18,Private,318082,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +23,Local-gov,287988,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Local-gov,138342,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,3411,0,40,El-Salvador,<=50K +42,Federal-gov,115932,Bachelors,13,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,60358,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +17,Private,140117,10th,6,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K +34,Private,158040,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +30,Self-emp-inc,321990,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,?,>50K +29,Private,232784,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,349368,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +46,Federal-gov,325573,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +69,Private,140176,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,24,United-States,<=50K +50,Private,128478,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +19,?,318264,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +59,Private,147989,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,<=50K +45,Federal-gov,155659,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +41,State-gov,288433,Masters,14,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +47,Federal-gov,329205,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +64,Private,171373,11th,7,Widowed,Farming-fishing,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,228860,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K +29,Private,196116,Prof-school,15,Divorced,Prof-specialty,Own-child,White,Female,2174,0,72,United-States,<=50K +17,Private,47771,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K +24,Private,201680,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,60,United-States,<=50K +28,Private,337378,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,246449,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,3325,0,50,United-States,<=50K +48,Private,227714,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +36,Private,177285,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,38,United-States,<=50K +38,Private,71701,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,Portugal,<=50K +49,Private,30219,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,1669,40,United-States,<=50K +42,Private,280167,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +36,Self-emp-inc,27408,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +25,Private,167031,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Columbia,<=50K +41,Private,173682,Masters,14,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,278557,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +32,Private,113688,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +41,Self-emp-not-inc,252986,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +48,Private,33669,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +56,Private,100776,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K +47,Self-emp-not-inc,177457,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +30,State-gov,312767,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +51,Private,43354,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +22,Self-emp-inc,375422,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,South,<=50K +49,Self-emp-not-inc,263568,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +67,?,74335,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,10,Germany,<=50K +26,Private,302097,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3464,0,48,United-States,<=50K +35,Private,248010,Bachelors,13,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +37,?,87369,9th,5,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,405577,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,State-gov,167065,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,102476,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +28,Federal-gov,526528,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,3887,0,40,United-States,<=50K +32,Private,175878,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +55,Private,213894,11th,7,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +17,Private,150262,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +40,Private,75363,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,272671,Bachelors,13,Divorced,Sales,Own-child,White,Male,0,0,50,United-States,<=50K +67,Self-emp-inc,411007,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,15831,0,40,United-States,>50K +44,Private,222434,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,180246,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +25,Private,171236,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +45,Private,367037,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,304651,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +62,Private,97017,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +20,Private,146879,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,2001,40,United-States,<=50K +45,State-gov,320818,Some-college,10,Married-spouse-absent,Other-service,Other-relative,Black,Male,0,0,40,Haiti,<=50K +47,Self-emp-not-inc,84735,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K +49,Private,184428,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,326886,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +24,?,169624,HS-grad,9,Divorced,?,Unmarried,Black,Female,0,0,37,United-States,<=50K +29,Private,212102,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K +23,Private,175837,11th,7,Never-married,Farming-fishing,Other-relative,White,Female,0,0,40,Puerto-Rico,<=50K +50,Private,177487,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,286750,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1902,40,United-States,>50K +44,Private,171424,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +32,Private,194981,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,36,United-States,<=50K +73,Private,199362,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +24,Private,204226,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,State-gov,72506,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K +61,Self-emp-inc,61040,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,36,United-States,>50K +37,Federal-gov,194630,Masters,14,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,391867,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +40,Private,94080,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +17,Private,289405,11th,7,Never-married,Machine-op-inspct,Own-child,Other,Male,0,0,12,United-States,<=50K +30,Private,170130,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,158118,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,1719,40,United-States,<=50K +30,Private,447739,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +90,?,39824,HS-grad,9,Widowed,?,Not-in-family,White,Male,401,0,4,United-States,<=50K +76,?,312500,5th-6th,3,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Private,223342,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,1504,35,United-States,<=50K +65,?,293385,Preschool,1,Married-civ-spouse,?,Husband,Black,Male,0,0,30,United-States,<=50K +25,Private,106377,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,66118,Bachelors,13,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +47,Private,274883,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +27,Local-gov,123773,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +42,Local-gov,70655,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +49,Private,177426,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +37,Private,200374,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K +19,State-gov,159269,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K +24,Private,235894,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K +34,Local-gov,97723,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +33,Private,167309,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,98106,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Federal-gov,22201,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,7298,0,40,Philippines,>50K +45,Private,108993,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,265954,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +58,Self-emp-inc,100960,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +45,Private,170092,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +54,Private,326156,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +45,Private,216932,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +69,Private,36956,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,50,United-States,>50K +24,Private,214014,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +36,Private,99872,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K +61,State-gov,151459,10th,6,Never-married,Other-service,Not-in-family,Black,Female,0,0,38,United-States,<=50K +57,Self-emp-inc,161662,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K +56,Private,367200,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +35,Private,86648,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,45,United-States,>50K +51,Local-gov,168539,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +50,Private,140741,11th,7,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K +25,Private,197651,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,43,United-States,<=50K +46,Private,123053,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,Japan,>50K +23,Private,330571,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +44,Private,204235,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +38,State-gov,346766,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +35,?,257250,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,163396,Some-college,10,Never-married,Tech-support,Not-in-family,Other,Female,0,0,40,United-States,<=50K +78,?,135839,HS-grad,9,Widowed,?,Not-in-family,White,Female,1086,0,20,United-States,<=50K +18,Private,36251,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +40,Private,149102,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,2174,0,60,Poland,<=50K +61,?,222395,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +31,State-gov,29152,12th,8,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +33,Private,79303,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +35,Private,272338,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +55,State-gov,200497,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +19,Private,148392,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +31,Private,164243,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1579,40,United-States,<=50K +43,State-gov,129298,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +49,Local-gov,174981,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,47,United-States,>50K +48,Local-gov,328610,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +27,Private,77774,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,34,United-States,<=50K +38,State-gov,134069,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,United-States,>50K +35,Private,209214,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,4386,0,35,United-States,>50K +29,Private,153805,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Other,Male,0,0,40,Ecuador,<=50K +27,Private,168827,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,2,United-States,<=50K +31,Private,373432,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K +26,Private,57600,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +53,Self-emp-not-inc,302847,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +23,Private,227594,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +32,Federal-gov,44777,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,46,United-States,<=50K +54,?,133963,HS-grad,9,Widowed,?,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,279615,Bachelors,13,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,276133,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +62,Private,136314,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +41,Private,204410,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,44,United-States,>50K +59,Self-emp-inc,223215,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +43,Private,184625,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +34,Self-emp-inc,265917,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +27,Private,158647,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,22055,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K +41,Local-gov,176716,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +42,Private,270721,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,32,United-States,<=50K +24,Private,100321,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K +35,Private,79050,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Male,0,0,72,United-States,<=50K +40,Local-gov,42703,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +46,Private,116952,7th-8th,4,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,<=50K +45,Private,331643,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +33,Private,207937,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1092,40,United-States,<=50K +68,Private,223486,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,7,England,<=50K +33,Private,340332,Bachelors,13,Separated,Exec-managerial,Not-in-family,Black,Female,0,0,45,United-States,<=50K +23,Private,184813,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +42,Self-emp-not-inc,32185,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +30,Private,197886,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,>50K +35,State-gov,248374,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +40,Private,382499,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K +36,State-gov,108320,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,5455,0,30,United-States,<=50K +46,Self-emp-inc,161386,9th,5,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,50,United-States,<=50K +49,Local-gov,110172,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,144032,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +26,Private,224426,Masters,14,Never-married,Exec-managerial,Own-child,White,Male,0,0,38,United-States,<=50K +37,Private,230408,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,20,United-States,<=50K +50,Local-gov,20795,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +20,Private,174714,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +59,State-gov,398626,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Male,25236,0,45,United-States,>50K +30,Private,149531,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,34113,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +44,Local-gov,323790,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +28,Private,331381,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,160647,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,Ireland,>50K +34,Private,339142,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +58,Private,164857,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,99,United-States,<=50K +33,Local-gov,267859,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,167725,Bachelors,13,Married-spouse-absent,Transport-moving,Not-in-family,Other,Male,0,0,84,India,<=50K +49,Federal-gov,586657,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +67,Self-emp-not-inc,105907,1st-4th,2,Widowed,Other-service,Not-in-family,Black,Female,0,0,20,United-States,<=50K +23,Private,200677,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,193882,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +54,Private,138026,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +49,Private,122385,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +35,Private,49020,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +26,Private,283715,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,286406,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,3325,0,40,United-States,<=50K +36,Private,166416,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,156334,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +35,Local-gov,45607,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K +40,Local-gov,112362,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,200419,Assoc-acdm,12,Separated,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +42,State-gov,341638,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +25,?,34161,12th,8,Separated,?,Unmarried,White,Female,0,0,30,United-States,<=50K +50,Self-emp-not-inc,127151,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,Canada,>50K +52,Private,321959,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,>50K +51,Local-gov,35211,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +19,Private,214935,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,132130,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +57,Private,222247,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +35,Private,165799,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +30,Private,257874,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +38,Private,357173,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,State-gov,305739,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,172047,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,110677,Some-college,10,Separated,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +21,?,405684,HS-grad,9,Never-married,?,Other-relative,White,Male,0,0,35,Mexico,<=50K +60,Private,82388,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,<=50K +45,Private,289230,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,48,United-States,>50K +26,Private,101812,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,5721,0,40,United-States,<=50K +49,State-gov,336509,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,383402,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +47,Private,328216,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,United-States,>50K +40,Private,280362,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K +34,Private,212064,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,7443,0,35,United-States,<=50K +42,Private,173704,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,433375,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Mexico,<=50K +63,Self-emp-not-inc,106551,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,22418,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,54816,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +44,Private,358199,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +43,Private,190044,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,97698,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,32,United-States,<=50K +56,Private,53366,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,236136,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +44,Private,326232,7th-8th,4,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,48,United-States,<=50K +34,Private,581071,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,>50K +40,Private,220589,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Federal-gov,161463,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +44,Private,95255,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Federal-gov,223267,Some-college,10,Divorced,Protective-serv,Own-child,White,Male,0,0,72,United-States,<=50K +22,Private,236769,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,England,<=50K +58,Self-emp-inc,229498,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,20,United-States,>50K +43,Private,177083,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,30,United-States,<=50K +23,Private,287681,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,Columbia,<=50K +41,Private,49797,Some-college,10,Separated,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +44,Private,174051,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +32,Private,194901,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +38,Local-gov,252250,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,>50K +47,Private,191277,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +24,Private,174907,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +39,Private,167140,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,236543,12th,8,Divorced,Protective-serv,Own-child,White,Male,0,0,54,Mexico,<=50K +40,Private,214242,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +34,Private,216864,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,3770,45,United-States,<=50K +34,Private,245211,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,2036,0,30,United-States,<=50K +57,Private,437727,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,45,United-States,>50K +71,Private,200418,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +45,Local-gov,167334,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +54,Private,146834,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +26,Private,78424,Assoc-voc,11,Never-married,Sales,Unmarried,White,Female,0,0,54,United-States,<=50K +37,Private,182675,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K +28,Self-emp-not-inc,38079,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K +42,Private,115178,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,15,United-States,<=50K +45,Private,195949,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,167415,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +57,Private,223214,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,22245,Bachelors,13,Married-civ-spouse,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +45,State-gov,81853,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,United-States,>50K +30,Private,147921,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,46,United-States,<=50K +27,Private,29261,HS-grad,9,Married-AF-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +44,Private,257758,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +44,State-gov,136546,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +38,Private,205493,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,60,United-States,>50K +19,Private,71650,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +39,Private,150217,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K +55,Self-emp-inc,258648,10th,6,Widowed,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,Private,114798,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +43,Private,186188,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Local-gov,175255,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K +45,Private,249935,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +44,Private,120277,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K +26,Private,193165,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,52,United-States,>50K +32,Private,185027,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,Ireland,>50K +21,Private,221418,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +43,Federal-gov,56063,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +34,Private,153927,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,State-gov,163110,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K +40,Self-emp-inc,175696,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,51,United-States,<=50K +46,Private,143189,5th-6th,3,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,Dominican-Republic,<=50K +20,?,114969,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +54,State-gov,32778,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,150683,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +58,Self-emp-inc,78104,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +25,Private,335005,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,3137,0,40,United-States,<=50K +50,Local-gov,311551,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +42,Self-emp-not-inc,201520,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +25,Private,124111,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K +60,Private,166386,11th,7,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,30,Hong,<=50K +43,State-gov,117471,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,361307,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +31,Private,142038,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,45,United-States,<=50K +35,Private,276552,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,50402,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,174090,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K +27,Private,277760,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,24243,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1590,40,United-States,<=50K +44,Self-emp-inc,151089,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,70,United-States,>50K +52,Self-emp-not-inc,165278,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,22,United-States,<=50K +49,Private,182752,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +31,Private,173002,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +59,Private,261232,11th,7,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,164607,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,129573,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +51,Federal-gov,36186,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +24,Private,325744,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Self-emp-inc,329793,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +46,Private,133616,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +55,Private,83401,5th-6th,3,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +76,Private,239880,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K +25,Private,201737,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Private,192182,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K +33,Private,143540,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,28334,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,245873,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +42,Local-gov,199095,Assoc-voc,11,Widowed,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +53,Private,104461,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,8614,0,50,Italy,>50K +33,Local-gov,183923,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,35,United-States,>50K +30,Private,129707,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,35,United-States,>50K +41,Local-gov,575442,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,State-gov,184682,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,69251,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +31,Private,225507,Assoc-voc,11,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +46,Private,167515,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +35,Private,407068,1st-4th,2,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,40,Guatemala,<=50K +40,Private,170019,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,?,<=50K +46,Local-gov,125892,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +43,Local-gov,35824,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +35,Private,67083,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K +23,Private,107801,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +50,Self-emp-not-inc,95577,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,12,?,<=50K +43,Private,118536,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,Black,Male,0,0,40,United-States,<=50K +61,Private,198078,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +29,Private,78261,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,United-States,<=50K +21,Private,234108,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Local-gov,241998,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1672,50,United-States,<=50K +40,Private,92717,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,257683,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +90,Private,40388,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K +24,Private,55424,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,169600,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,2176,0,12,United-States,<=50K +40,Local-gov,319271,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +37,Self-emp-not-inc,75050,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +31,Private,182896,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,188274,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,211497,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,113806,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,?,>50K +47,Local-gov,172246,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +48,Local-gov,219962,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,?,186815,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K +26,?,132749,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,80,United-States,<=50K +28,Private,209801,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +20,State-gov,178517,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Private,169364,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,Ireland,<=50K +32,Federal-gov,164707,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +55,Private,144084,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +41,Local-gov,133692,Bachelors,13,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K +46,Private,184169,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,35,United-States,>50K +45,Self-emp-inc,145290,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +65,Local-gov,24824,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,178319,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +22,Private,235829,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +22,?,196280,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +42,Self-emp-not-inc,54202,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +37,Private,220237,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K +24,Private,59146,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +67,Private,64148,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,41,United-States,<=50K +28,Private,196621,HS-grad,9,Married-spouse-absent,Tech-support,Not-in-family,White,Female,0,0,37,United-States,<=50K +56,Private,195668,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,Cuba,>50K +31,State-gov,263000,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,<=50K +33,Private,554986,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +52,?,108211,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,217654,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Germany,>50K +53,Private,139671,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +47,Private,102771,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Portugal,<=50K +40,Private,213019,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +35,Private,228493,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,48,United-States,<=50K +65,Self-emp-not-inc,22907,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,24364,Some-college,10,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,30,United-States,<=50K +23,Federal-gov,41432,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,15,United-States,<=50K +39,Private,235259,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,343476,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +37,Private,326886,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,248313,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Self-emp-not-inc,30290,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Private,188540,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +39,Private,237943,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K +25,Private,198870,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Male,0,0,35,United-States,<=50K +30,Private,233980,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,171090,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,48,United-States,<=50K +22,Private,353039,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Female,0,0,36,Mexico,<=50K +46,Federal-gov,213140,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K +54,Private,188136,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,1408,38,United-States,<=50K +33,Private,130057,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +70,State-gov,345339,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,182074,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +53,Local-gov,176557,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K +55,State-gov,71630,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,1617,40,United-States,<=50K +17,Private,159849,11th,7,Never-married,Protective-serv,Own-child,White,Female,0,0,30,United-States,<=50K +36,Private,183425,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,125933,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K +40,Local-gov,180123,HS-grad,9,Married-spouse-absent,Farming-fishing,Own-child,Black,Male,0,0,40,United-States,<=50K +36,Private,592930,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,>50K +28,Private,183802,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +39,Private,77005,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K +49,Private,80914,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K +63,Self-emp-inc,165667,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,123991,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,20,United-States,<=50K +48,Self-emp-inc,181307,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +55,Private,124137,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Poland,<=50K +18,?,137363,Some-college,10,Never-married,?,Own-child,White,Female,0,0,4,United-States,<=50K +20,Private,291979,HS-grad,9,Married-civ-spouse,Sales,Other-relative,White,Male,0,0,20,United-States,<=50K +49,Private,91251,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K +27,Federal-gov,148153,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +37,Private,131463,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,33,United-States,<=50K +32,State-gov,127651,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +33,Self-emp-inc,239018,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +47,Private,276087,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,26,United-States,<=50K +34,Private,386877,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +61,Private,210464,HS-grad,9,Divorced,Adm-clerical,Other-relative,Black,Female,0,0,35,United-States,<=50K +25,Private,632834,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +26,Private,245465,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +18,Private,198087,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +35,Private,27408,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,242713,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,?,<=50K +56,Private,314727,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K +40,State-gov,269733,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,177287,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,38,United-States,<=50K +66,Private,167711,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,>50K +42,Private,112181,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +28,Private,339002,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K +39,State-gov,24721,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +65,Self-emp-not-inc,37092,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K +20,Private,216563,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +52,Private,204447,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,40,United-States,>50K +24,?,151153,Some-college,10,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,99999,0,50,South,>50K +39,Private,187089,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,423052,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,30,United-States,<=50K +49,Private,169180,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Hong,<=50K +21,Private,104981,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,48,United-States,<=50K +35,?,120074,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K +38,Private,269323,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +55,Private,141549,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,214858,10th,6,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,55,United-States,<=50K +34,Private,173524,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +54,Local-gov,365049,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,Mexico,<=50K +38,Private,60355,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,86808,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +33,State-gov,174171,Some-college,10,Separated,Tech-support,Not-in-family,White,Male,0,0,12,United-States,<=50K +32,Federal-gov,504951,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K +34,Private,294064,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,France,<=50K +46,Private,120131,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,>50K +48,Private,199058,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +23,Private,152328,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +48,Federal-gov,88564,7th-8th,4,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +67,Private,95113,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,37,United-States,>50K +36,Private,247558,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,60,?,>50K +25,Private,178421,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +43,Private,484861,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,4064,0,38,United-States,<=50K +27,Local-gov,225291,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Private,205735,1st-4th,2,Separated,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,58898,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1579,48,United-States,<=50K +39,Private,355468,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1887,46,United-States,>50K +60,Self-emp-not-inc,184362,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,25,United-States,<=50K +27,Private,347513,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,138768,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,29810,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +31,Private,126501,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,60783,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,15,United-States,<=50K +26,Private,179772,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +45,Self-emp-inc,281911,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +33,Private,70447,HS-grad,9,Never-married,Transport-moving,Other-relative,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +55,?,449576,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,48,Mexico,<=50K +29,Private,327964,9th,5,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +72,Private,496538,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,6360,0,40,United-States,<=50K +35,Self-emp-not-inc,153066,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +53,State-gov,77651,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,119493,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +20,Private,256240,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +69,Private,177374,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,1848,0,12,United-States,<=50K +41,Local-gov,37848,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +45,Private,129336,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +27,Private,183511,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +46,Self-emp-inc,120131,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K +55,Private,190508,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,35,United-States,<=50K +31,Private,363130,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +45,Private,240356,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,55,United-States,<=50K +64,Private,133166,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,5,United-States,<=50K +38,Private,32916,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +17,Private,117477,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,34748,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1887,20,United-States,>50K +22,Private,459463,12th,8,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,50,United-States,<=50K +23,Private,95989,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +25,Private,118088,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +33,Private,150570,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,43,United-States,>50K +31,?,505438,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,30,Mexico,<=50K +37,Private,179731,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +53,Private,122109,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,1876,38,United-States,<=50K +28,Local-gov,163942,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,106670,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +41,Private,123403,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +61,Self-emp-inc,119986,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +25,Private,66622,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +20,?,40060,Some-college,10,Never-married,?,Own-child,White,Male,0,0,56,United-States,<=50K +35,Private,260578,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K +64,Local-gov,96076,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +28,Private,70604,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,<=50K +39,Self-emp-not-inc,230329,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,1564,12,United-States,>50K +53,Private,49715,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +28,Private,116531,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Federal-gov,214542,Some-college,10,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K +25,Local-gov,335005,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,Italy,<=50K +19,Private,258633,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +20,Private,203240,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +27,Private,104457,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,40,?,<=50K +55,Local-gov,99131,HS-grad,9,Married-civ-spouse,Prof-specialty,Other-relative,White,Female,0,2246,40,United-States,>50K +52,State-gov,125796,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,1848,40,United-States,>50K +21,?,479482,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +30,Private,167790,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +47,Private,133758,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,1974,40,United-States,<=50K +22,Private,106843,10th,6,Never-married,Craft-repair,Other-relative,White,Male,0,0,30,United-States,<=50K +24,Private,117959,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,4386,0,40,United-States,>50K +26,Private,174921,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,134152,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +57,Private,99364,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +18,Local-gov,155905,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,60,United-States,<=50K +30,Private,467108,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +34,Self-emp-not-inc,304622,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K +40,Private,198692,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,5178,0,60,United-States,>50K +60,Private,178050,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,38,United-States,<=50K +25,Private,162687,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Private,113151,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +48,Private,158924,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +27,Self-emp-not-inc,141795,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K +33,Self-emp-not-inc,33404,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,>50K +65,Self-emp-inc,178771,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,168553,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,40,United-States,>50K +27,Private,110648,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,151053,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,142871,Some-college,10,Separated,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K +18,?,343161,11th,7,Never-married,?,Own-child,White,Male,0,0,16,United-States,<=50K +27,Private,183523,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +57,Self-emp-not-inc,222216,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,60,United-States,<=50K +44,Private,121874,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,55,United-States,>50K +30,Private,467108,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K +26,Private,34393,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Federal-gov,42003,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +61,Private,180418,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +49,Self-emp-not-inc,199590,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Mexico,<=50K +33,Private,144949,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +50,Private,155594,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +53,Self-emp-not-inc,162576,7th-8th,4,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,99,United-States,<=50K +33,Private,232475,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +22,Private,269474,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K +45,Local-gov,140644,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K +26,?,39640,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,60,United-States,<=50K +50,?,346014,7th-8th,4,Separated,?,Own-child,White,Female,0,0,20,United-States,<=50K +47,Self-emp-not-inc,159726,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +52,Federal-gov,290856,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +57,Private,217886,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,36,United-States,<=50K +21,?,199915,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +58,Private,106546,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,2174,0,40,United-States,<=50K +50,Local-gov,220640,Masters,14,Divorced,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,0,0,50,United-States,>50K +33,Federal-gov,88913,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +34,Self-emp-not-inc,288486,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,227411,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +37,Local-gov,99935,Masters,14,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,50,United-States,>50K +57,Private,201112,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +57,Self-emp-not-inc,123778,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +21,Private,204596,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,8,United-States,<=50K +40,Private,190290,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,196674,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,108435,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,20,United-States,<=50K +38,Private,186359,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +32,Private,137076,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +22,State-gov,262819,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,171655,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K +42,Private,183319,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,El-Salvador,<=50K +36,Private,127306,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,47,United-States,<=50K +22,Private,68678,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,<=50K +40,State-gov,140108,9th,5,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +26,Private,263444,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +46,State-gov,265554,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +28,Private,410216,11th,7,Married-civ-spouse,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,>50K +46,State-gov,20534,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +55,Private,188917,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +76,Private,98695,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +27,Private,411950,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +50,Private,237819,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +75,Private,187424,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +42,Federal-gov,198316,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +36,Local-gov,139703,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +51,Private,152596,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,194726,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,55,United-States,>50K +44,Private,82601,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +20,?,229843,Some-college,10,Never-married,?,Not-in-family,Black,Female,0,0,20,United-States,<=50K +60,Private,122276,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Italy,<=50K +47,State-gov,188386,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +73,Private,92298,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,15,United-States,<=50K +27,Private,390657,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +50,Private,89041,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,50,United-States,>50K +35,Private,314897,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +31,Private,166343,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,50,?,<=50K +45,Private,88781,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,>50K +57,Private,41762,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,South,>50K +34,Private,849857,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Nicaragua,<=50K +19,Private,307496,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +25,Private,324372,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +39,Private,99270,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,Germany,>50K +28,Private,160731,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Poland,>50K +48,State-gov,148306,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,259019,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +53,Private,224894,5th-6th,3,Married-civ-spouse,Priv-house-serv,Wife,Black,Female,0,0,10,Haiti,<=50K +19,Private,258470,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,197919,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,60,United-States,<=50K +23,Private,213719,Assoc-acdm,12,Never-married,Sales,Own-child,Black,Female,0,0,36,United-States,<=50K +32,Private,226535,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,146042,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +21,Private,180339,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Female,0,1602,30,United-States,<=50K +24,Private,99970,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,300687,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +29,Local-gov,219906,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,25,United-States,>50K +24,Private,122234,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,20,?,<=50K +55,Private,158641,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,239539,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +46,Local-gov,102308,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,186934,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,234447,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +35,Private,125933,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +29,Private,142760,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +41,State-gov,309056,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +40,Self-emp-not-inc,48859,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K +30,Private,110594,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +72,Private,426562,11th,7,Divorced,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K +17,Private,169037,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +46,Self-emp-inc,123075,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,70,United-States,<=50K +38,Private,195744,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K +36,Private,81896,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +24,Self-emp-not-inc,172047,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,253814,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +28,Private,66473,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +60,?,56248,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,1485,70,United-States,>50K +42,Local-gov,271521,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Other,Male,0,0,40,United-States,>50K +48,Private,265295,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +37,Self-emp-not-inc,174308,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,196342,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +55,Private,223594,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,7688,0,40,Puerto-Rico,>50K +30,Private,149787,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +68,Private,124686,7th-8th,4,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,10,United-States,<=50K +45,Private,50163,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +26,Private,175789,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,218215,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,166371,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,169469,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +52,Private,145081,7th-8th,4,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +68,Private,214521,Prof-school,15,Widowed,Prof-specialty,Unmarried,White,Female,0,0,16,United-States,<=50K +26,Local-gov,287233,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,>50K +52,Private,201310,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,?,<=50K +46,Self-emp-not-inc,197836,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1672,50,United-States,<=50K +53,Private,158294,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +17,Private,127366,11th,7,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K +29,Private,203697,Bachelors,13,Married-civ-spouse,Prof-specialty,Own-child,White,Male,0,0,75,United-States,<=50K +41,Private,168730,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +45,Private,165232,Some-college,10,Divorced,Tech-support,Not-in-family,Black,Female,0,0,40,Trinadad&Tobago,<=50K +57,Private,175942,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +30,Federal-gov,356689,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,Japan,<=50K +46,Private,132912,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +45,Private,187226,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +59,?,254765,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +40,Private,202565,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,<=50K +38,State-gov,103925,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,2036,0,20,United-States,<=50K +22,Private,112164,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,?,<=50K +59,Self-emp-not-inc,70623,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,85,United-States,<=50K +36,Private,102729,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,558944,7th-8th,4,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,256967,10th,6,Never-married,Sales,Other-relative,Black,Female,0,0,40,United-States,<=50K +62,?,144583,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +63,Private,102412,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,159788,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,80,United-States,<=50K +27,Private,55743,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,45,United-States,>50K +47,State-gov,148171,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Male,0,0,50,France,>50K +20,Local-gov,271354,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +48,Private,98524,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +29,Private,272913,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,Mexico,<=50K +22,Private,324445,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,155469,Assoc-acdm,12,Widowed,Tech-support,Unmarried,White,Female,0,0,24,United-States,<=50K +36,Private,102945,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Private,291904,10th,6,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +41,Federal-gov,186601,HS-grad,9,Separated,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +43,Private,172401,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +33,Private,193285,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +34,Private,176244,7th-8th,4,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +32,Private,117779,HS-grad,9,Never-married,Transport-moving,Own-child,White,Female,0,0,35,United-States,<=50K +22,?,34616,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +52,Private,169182,9th,5,Widowed,Other-service,Not-in-family,White,Female,0,0,25,Puerto-Rico,<=50K +27,Private,180758,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Local-gov,141637,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +41,Self-emp-not-inc,169023,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,40,United-States,>50K +34,Self-emp-not-inc,101266,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,62,United-States,<=50K +30,Private,164190,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +35,Private,142282,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +39,Federal-gov,103984,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +64,Private,187601,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Self-emp-not-inc,36218,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K +29,State-gov,106334,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,?,<=50K +37,Local-gov,249392,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +43,Self-emp-not-inc,110355,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +30,Self-emp-not-inc,117944,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K +17,Private,163836,10th,6,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K +29,Private,145592,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Guatemala,<=50K +24,Private,108495,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,India,<=50K +27,Self-emp-not-inc,212041,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +69,Self-emp-inc,182451,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,124020,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,199116,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +17,?,144114,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +61,Private,107438,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,1651,40,United-States,<=50K +70,Private,405362,7th-8th,4,Widowed,Other-service,Unmarried,Black,Female,0,0,38,United-States,<=50K +32,Private,175856,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,1902,40,United-States,>50K +21,?,262241,HS-grad,9,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K +27,Self-emp-not-inc,420054,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,9562,0,50,United-States,>50K +27,Private,86681,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,187161,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +44,State-gov,691903,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,60,United-States,>50K +36,Private,219483,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,199058,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K +29,Private,192010,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,Poland,<=50K +34,Federal-gov,419691,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,54,United-States,>50K +28,Local-gov,356089,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Male,0,0,50,United-States,<=50K +34,Private,684015,5th-6th,3,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,El-Salvador,<=50K +18,Private,36882,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +39,Private,203180,Some-college,10,Divorced,Farming-fishing,Unmarried,White,Female,0,0,45,United-States,<=50K +34,Private,183811,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Local-gov,103966,Masters,14,Divorced,Adm-clerical,Unmarried,White,Female,0,0,41,United-States,<=50K +24,Private,304602,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,57233,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K +50,State-gov,289207,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,45,United-States,>50K +68,Private,224019,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K +35,Private,267966,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K +47,Private,214800,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +43,Local-gov,241528,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,197365,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,296724,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,17,United-States,<=50K +26,Private,136226,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +50,Private,40623,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,264874,HS-grad,9,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K +20,Private,112847,HS-grad,9,Never-married,Farming-fishing,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +18,?,236090,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +52,Self-emp-not-inc,89028,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +71,State-gov,210673,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,28,United-States,<=50K +55,Private,60193,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,216137,11th,7,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K +36,Private,139743,Some-college,10,Widowed,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +25,?,32276,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +39,Local-gov,423605,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1848,40,Nicaragua,>50K +27,Private,298871,Bachelors,13,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +42,Private,318255,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,347867,HS-grad,9,Married-spouse-absent,Sales,Not-in-family,White,Male,0,1719,40,United-States,<=50K +57,Private,279636,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K +34,Private,405386,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,28,United-States,<=50K +31,Private,297188,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +24,Private,182342,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,229148,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,60,Jamaica,<=50K +30,Private,189620,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,6849,0,40,England,<=50K +17,Private,413557,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,32,United-States,<=50K +26,Self-emp-inc,246025,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,20,Honduras,<=50K +32,Private,390997,1st-4th,2,Never-married,Farming-fishing,Not-in-family,Other,Male,0,0,50,Mexico,<=50K +55,Private,102058,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +19,Private,247298,12th,8,Married-spouse-absent,Other-service,Own-child,Other,Female,0,0,20,United-States,<=50K +28,Private,140108,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +55,?,216941,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,2885,0,40,United-States,<=50K +49,Private,81654,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +23,Private,177526,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,64631,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,110028,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,203761,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +23,Private,163870,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +59,Federal-gov,117299,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K +20,Private,50648,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +21,Private,166517,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +28,?,173800,Bachelors,13,Married-spouse-absent,?,Not-in-family,Asian-Pac-Islander,Female,0,0,10,Taiwan,<=50K +44,Self-emp-inc,181762,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +31,Self-emp-not-inc,340880,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +50,Self-emp-not-inc,114758,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,4416,0,45,United-States,<=50K +54,Private,138847,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +28,Private,215014,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +34,Private,183778,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,273629,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +28,Self-emp-inc,113870,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +23,Private,213955,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,2001,40,United-States,<=50K +29,Private,114982,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +35,Private,205338,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,57924,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,7688,0,50,United-States,>50K +90,?,225063,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,10,South,<=50K +35,Self-emp-not-inc,202027,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,United-States,>50K +20,Private,281356,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Other,Male,0,0,40,United-States,<=50K +42,Private,30824,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,2354,0,16,United-States,<=50K +56,Private,98809,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,5013,0,45,United-States,<=50K +31,Private,38223,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K +23,Private,172232,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,50,United-States,<=50K +60,Private,140544,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,221366,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,180799,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +36,Private,111499,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,14084,0,40,United-States,>50K +44,Self-emp-not-inc,155930,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +34,Private,201122,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +27,Private,101709,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +49,Private,140121,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K +48,Private,172709,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +47,Private,120131,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +34,Private,117444,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +27,Private,256764,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Local-gov,176185,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4064,0,40,?,<=50K +24,Private,223811,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,201603,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K +25,Private,138765,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,133974,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Federal-gov,137953,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +57,Private,103403,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,461678,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K +41,State-gov,70884,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +56,State-gov,466498,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,60,United-States,>50K +19,Private,148644,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +44,Private,190739,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,32,United-States,<=50K +34,Private,299507,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,211424,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +27,State-gov,106721,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,192017,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,Private,530099,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,55,United-States,>50K +34,Private,119153,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,202450,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,>50K +21,Private,50341,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +24,Private,140001,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Italy,<=50K +19,?,220517,Some-college,10,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K +82,?,52921,Some-college,10,Widowed,?,Not-in-family,Amer-Indian-Eskimo,Male,0,0,3,United-States,<=50K +35,Private,31964,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +32,Private,148207,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,151627,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +30,Private,402539,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Self-emp-not-inc,188278,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +28,Self-emp-not-inc,96219,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,5,United-States,<=50K +29,Private,340534,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,44,United-States,<=50K +60,Private,160339,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Columbia,<=50K +28,Private,120135,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Federal-gov,303817,Some-college,10,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +31,Private,181091,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +28,Private,200515,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,>50K +42,Private,160893,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,23,United-States,<=50K +40,Local-gov,183096,9th,5,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Yugoslavia,>50K +24,Private,241367,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Self-emp-inc,342084,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +36,Private,193855,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,80410,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,554317,9th,5,Married-spouse-absent,Other-service,Other-relative,White,Male,0,0,35,Mexico,<=50K +46,Private,85109,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1628,40,United-States,<=50K +28,Private,108569,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,<=50K +34,Private,120959,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,222011,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,43,United-States,<=50K +43,Private,238530,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,48404,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +60,Private,88055,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,3781,0,16,United-States,<=50K +33,Private,238381,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,8614,0,40,United-States,>50K +22,Private,243923,HS-grad,9,Married-civ-spouse,Transport-moving,Other-relative,White,Male,0,0,80,United-States,<=50K +39,Private,305597,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,141841,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,5178,0,40,United-States,>50K +39,Private,129764,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,150993,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +63,Self-emp-not-inc,147140,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +46,State-gov,30219,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,38,United-States,>50K +48,Private,167967,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +33,Private,133278,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +65,Private,172510,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Female,1848,0,20,Hungary,<=50K +39,Private,192251,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,>50K +43,Private,210844,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,>50K +28,Private,263015,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Self-emp-not-inc,155118,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,99999,0,35,United-States,>50K +24,State-gov,232918,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K +48,Private,143542,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,45607,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +62,Private,29828,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,104118,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Private,191446,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K +50,Private,27484,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +40,Private,205987,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,Cuba,<=50K +39,Local-gov,143385,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,?,200508,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +43,Local-gov,186995,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,54159,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K +39,Private,113481,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +30,Local-gov,235271,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +32,Private,349365,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,65,United-States,<=50K +18,Private,283637,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,70282,Assoc-acdm,12,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +26,Private,166051,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +51,Private,193720,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K +35,?,124836,Some-college,10,Divorced,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,36,United-States,<=50K +33,Private,236379,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +46,Private,122026,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K +40,Private,114537,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +34,Private,191834,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +29,Private,420054,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,160045,Some-college,10,Widowed,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +34,Private,303187,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K +45,Private,190088,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K +53,Private,126977,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +52,Self-emp-not-inc,63004,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +64,Private,391121,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +42,Private,211450,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K +44,Private,156413,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,44,United-States,>50K +41,Private,116797,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,50,United-States,>50K +53,Local-gov,204447,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,>50K +25,Private,66935,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +20,Private,344278,11th,7,Separated,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,108574,Assoc-voc,11,Never-married,Priv-house-serv,Own-child,White,Female,0,0,40,United-States,<=50K +56,Private,244605,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,363677,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,30,United-States,>50K +56,Private,219762,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,35,United-States,<=50K +38,Self-emp-inc,269318,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +62,Private,77884,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +28,Self-emp-not-inc,70100,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +31,Private,213643,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3908,0,40,United-States,<=50K +24,Private,69640,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +65,Private,170012,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,34,United-States,<=50K +40,Private,329924,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,30,United-States,<=50K +31,Private,193285,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,261241,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,1741,60,United-States,<=50K +42,Federal-gov,108183,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1902,40,South,>50K +20,Private,296618,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +30,Local-gov,257796,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,155320,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K +22,Private,151888,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +65,?,143118,HS-grad,9,Widowed,?,Unmarried,White,Female,0,2206,10,United-States,<=50K +31,Private,66278,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,3908,0,40,United-States,<=50K +56,Private,92444,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,>50K +51,Private,229272,HS-grad,9,Divorced,Other-service,Other-relative,Black,Male,0,0,32,Haiti,<=50K +36,Self-emp-not-inc,207202,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +44,State-gov,154176,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,1590,40,United-States,<=50K +49,Private,180899,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,0,1755,45,United-States,>50K +28,Private,205337,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,180779,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +33,Self-emp-not-inc,343021,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K +49,Private,176814,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,5178,0,40,United-States,>50K +74,State-gov,88638,Doctorate,16,Never-married,Prof-specialty,Other-relative,White,Female,0,3683,20,United-States,>50K +48,Private,248059,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,45,United-States,<=50K +38,Private,409604,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +39,Private,185053,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,332884,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,65,United-States,>50K +56,Private,212864,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +27,Private,66473,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +17,Private,285169,11th,7,Never-married,Priv-house-serv,Own-child,White,Female,0,0,40,United-States,<=50K +28,Private,175431,9th,5,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +18,?,152641,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,339346,Masters,14,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +39,Private,287306,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +29,Self-emp-not-inc,70604,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,3464,0,40,United-States,<=50K +21,Private,88926,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K +36,Private,91275,Some-college,10,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +56,Private,244554,10th,6,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +49,Private,232586,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-inc,127678,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,<=50K +44,Private,162184,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Private,408229,1st-4th,2,Never-married,Other-service,Not-in-family,White,Male,0,0,45,El-Salvador,<=50K +43,State-gov,139734,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +62,Private,197286,12th,8,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,Germany,<=50K +52,Private,229983,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,3103,0,30,United-States,>50K +25,Private,252803,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +63,Self-emp-inc,110890,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,>50K +51,Private,160724,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,99,South,<=50K +25,Private,89625,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +62,?,266037,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,126730,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Federal-gov,96854,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K +32,Private,186788,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,28996,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +30,Self-emp-not-inc,347166,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,State-gov,110311,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,310850,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +41,Private,220694,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,37,United-States,<=50K +61,Private,149405,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +70,Self-emp-inc,131699,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,<=50K +55,Private,49996,11th,7,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +35,Private,187112,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K +36,Private,180859,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,<=50K +29,Private,185647,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,60,United-States,<=50K +30,Private,316606,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +45,Private,274657,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K +39,Federal-gov,193583,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,5455,0,60,United-States,<=50K +18,Private,338836,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +28,Private,216814,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +27,Private,106935,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +38,Private,223433,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,174789,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,135603,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +25,?,344719,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,4,United-States,<=50K +38,Private,372484,11th,7,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +23,Private,181820,Some-college,10,Never-married,Farming-fishing,Unmarried,White,Male,0,0,45,United-States,<=50K +40,Private,235371,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +36,Self-emp-inc,216711,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,?,>50K +20,Private,299399,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +41,Private,202508,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +44,Private,172025,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +49,Self-emp-inc,246891,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +22,Private,450920,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +26,Private,53598,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,103757,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,76017,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +28,Self-emp-inc,80158,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +37,Federal-gov,90881,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Male,8614,0,55,United-States,>50K +44,Private,427952,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +20,?,230955,12th,8,Never-married,?,Not-in-family,Black,Female,0,0,35,United-States,<=50K +53,Private,177916,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K +36,Private,342642,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,15,United-States,<=50K +77,Private,253642,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,30,United-States,<=50K +21,Private,219086,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +24,Private,162593,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +30,Private,87561,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Local-gov,142411,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K +22,Private,154422,Some-college,10,Divorced,Sales,Own-child,Asian-Pac-Islander,Female,0,0,30,Philippines,<=50K +23,Private,169104,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,25,United-States,<=50K +47,Private,193047,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K +17,Private,151141,12th,8,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +48,Private,267912,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,50,Mexico,>50K +43,Private,137126,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +34,Private,152453,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Guatemala,<=50K +19,Private,357059,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +42,State-gov,202011,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,98283,Bachelors,13,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +61,Self-emp-not-inc,176965,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +63,Private,187919,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +65,Private,274916,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,105813,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K +41,Local-gov,193524,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +35,Private,152734,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,?,<=50K +21,Private,263641,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K +48,Local-gov,102076,Bachelors,13,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +51,State-gov,155594,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K +43,Private,33331,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +22,State-gov,156773,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,15,?,<=50K +56,Self-emp-not-inc,115439,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +47,Private,181652,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,120268,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,24,United-States,<=50K +39,Private,196308,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,24,United-States,<=50K +45,Self-emp-not-inc,40690,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,75,United-States,<=50K +49,Private,228583,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,40,Columbia,<=50K +23,Private,695136,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K +69,Private,209236,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,36,United-States,<=50K +41,Federal-gov,214838,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +40,Self-emp-not-inc,188436,HS-grad,9,Separated,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,<=50K +25,Private,177625,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Private,124591,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +28,Private,230856,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Female,3325,0,50,United-States,<=50K +50,Federal-gov,221532,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +21,Private,232577,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,0,0,30,United-States,<=50K +48,Private,168216,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +27,Private,214702,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K +63,Private,237620,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +47,State-gov,54887,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +37,Self-emp-not-inc,164526,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,14084,0,45,United-States,>50K +28,Private,224506,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,?,<=50K +58,Private,183870,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,208330,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,51,United-States,<=50K +67,Self-emp-inc,168370,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +62,Self-emp-not-inc,320376,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,48,United-States,<=50K +28,Private,192384,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +26,Private,167350,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +46,Self-emp-not-inc,103538,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K +29,Private,58522,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,191342,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +25,Private,193820,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K +20,Private,258490,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +21,Private,56520,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,102476,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +44,Self-emp-inc,311357,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +37,Private,166497,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,38,United-States,<=50K +50,Private,160724,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,7298,0,40,Philippines,>50K +29,Private,338270,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +18,Private,282394,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,21,United-States,<=50K +32,Private,383269,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +58,Private,119386,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +50,Private,196975,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +29,Private,334221,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,18,United-States,<=50K +58,Private,27385,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +29,State-gov,133846,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,361888,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +21,Private,230429,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +49,Private,328776,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +60,Private,243829,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +39,Private,306646,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,3103,0,50,United-States,>50K +50,Private,138179,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K +30,Private,280069,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K +55,Private,305759,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,?,<=50K +64,Local-gov,164876,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,20,United-States,<=50K +29,Self-emp-inc,138597,Assoc-acdm,12,Never-married,Prof-specialty,Other-relative,Black,Female,0,0,40,United-States,<=50K +40,Private,111483,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +42,Private,144778,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +55,Private,171015,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,112494,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +28,Private,408473,12th,8,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K +46,State-gov,27802,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,>50K +34,Private,236318,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +47,Private,121836,Masters,14,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,38,United-States,>50K +43,Self-emp-not-inc,315971,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,698418,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,25,United-States,<=50K +21,Private,329530,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +65,Private,194456,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,England,>50K +20,Private,282579,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,State-gov,26401,Masters,14,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +38,State-gov,364958,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,3464,0,40,United-States,<=50K +22,Private,83998,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,94364,Some-college,10,Never-married,Prof-specialty,Not-in-family,Other,Female,0,0,20,United-States,<=50K +44,Private,174189,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +44,Local-gov,101967,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +41,Private,146908,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +38,Private,126675,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,2205,40,United-States,<=50K +21,Private,31606,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,Germany,<=50K +24,Private,132327,Some-college,10,Married-spouse-absent,Sales,Unmarried,Other,Female,0,0,30,Ecuador,<=50K +24,Private,112459,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +28,Private,48894,HS-grad,9,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +39,Private,181943,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +48,Private,247685,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K +24,Local-gov,195808,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,172052,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,35,South,>50K +50,Local-gov,50178,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,4064,0,55,United-States,<=50K +68,Private,351711,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +31,State-gov,190305,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +22,Private,464103,1st-4th,2,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Guatemala,<=50K +18,?,36348,Some-college,10,Never-married,?,Own-child,White,Male,0,0,48,United-States,<=50K +25,Private,120238,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Poland,<=50K +28,Private,354095,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Local-gov,308901,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +24,State-gov,208826,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,99,England,<=50K +20,Private,369677,10th,6,Separated,Sales,Not-in-family,White,Female,0,0,36,United-States,<=50K +45,Federal-gov,98524,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +44,Private,239723,Some-college,10,Married-spouse-absent,Craft-repair,Unmarried,White,Female,1506,0,45,United-States,<=50K +57,Private,231232,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,236396,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,55,United-States,>50K +24,?,119156,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,320451,Some-college,10,Never-married,Protective-serv,Own-child,Asian-Pac-Islander,Male,0,0,24,India,<=50K +41,Private,38397,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Self-emp-inc,189183,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +46,Local-gov,199281,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +52,Private,286342,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,38,United-States,<=50K +50,Private,152810,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +26,Self-emp-inc,176981,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,50,United-States,<=50K +17,Private,117549,10th,6,Never-married,Sales,Other-relative,Black,Female,0,0,12,United-States,<=50K +64,Private,254797,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,133336,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +28,Self-emp-not-inc,182826,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +51,Private,136224,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Self-emp-not-inc,134475,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,1762,40,United-States,<=50K +48,Private,272778,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K +44,Private,279183,Some-college,10,Married-civ-spouse,Other-service,Own-child,White,Female,0,0,40,United-States,>50K +47,Private,110243,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,202071,HS-grad,9,Widowed,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K +58,Private,197642,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,39,United-States,<=50K +19,Private,125591,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,197462,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +23,Private,238831,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,182177,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Yugoslavia,<=50K +40,Local-gov,240504,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +48,Self-emp-inc,125892,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,38,United-States,>50K +46,Private,154430,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +32,Private,207685,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,Black,Female,3908,0,40,United-States,<=50K +50,Private,222020,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,243240,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,37,United-States,<=50K +26,Private,158734,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K +36,Private,257691,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +26,Private,144483,Assoc-voc,11,Divorced,Sales,Own-child,White,Female,594,0,35,United-States,<=50K +19,Private,209826,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +53,Private,30244,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +54,Private,133050,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,41,United-States,<=50K +29,Private,138332,Some-college,10,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,6,United-States,<=50K +81,Private,201398,Masters,14,Widowed,Prof-specialty,Unmarried,White,Male,0,0,60,?,<=50K +37,Private,526968,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,>50K +40,Private,79036,Assoc-voc,11,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,>50K +36,Private,240323,Some-college,10,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +18,Private,270544,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +44,State-gov,199551,11th,7,Separated,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K +36,Private,231052,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K +69,State-gov,203072,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +17,Private,126771,12th,8,Never-married,Prof-specialty,Own-child,White,Male,0,0,7,United-States,<=50K +38,Private,31848,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +27,Private,328981,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K +52,Private,159670,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,450695,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K +57,Private,182028,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +19,Private,349620,10th,6,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +38,Private,161066,HS-grad,9,Divorced,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K +46,Private,213611,7th-8th,4,Married-spouse-absent,Priv-house-serv,Unmarried,White,Female,0,1594,24,Guatemala,<=50K +21,Private,548303,HS-grad,9,Married-civ-spouse,Prof-specialty,Own-child,White,Male,0,0,40,Mexico,>50K +29,Private,150861,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Japan,<=50K +33,?,335625,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,133766,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +28,Private,200511,HS-grad,9,Separated,Farming-fishing,Not-in-family,White,Male,0,0,55,United-States,<=50K +26,Private,50103,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +37,?,148266,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,6,Mexico,<=50K +49,Private,177211,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,132686,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +57,Federal-gov,21626,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Private,52900,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +20,?,150084,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +38,Private,248886,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,42,United-States,<=50K +51,Self-emp-not-inc,118259,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,60,United-States,<=50K +60,Private,145493,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,219546,Bachelors,13,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,3411,0,47,United-States,<=50K +44,Federal-gov,399155,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Female,0,0,40,United-States,<=50K +19,Self-emp-not-inc,227310,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +59,Private,333270,Masters,14,Married-civ-spouse,Craft-repair,Wife,Asian-Pac-Islander,Female,0,0,35,Philippines,<=50K +50,Private,231495,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +35,Federal-gov,133935,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +46,Federal-gov,55237,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +18,Private,183034,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,35,United-States,<=50K +32,Private,245487,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,Mexico,<=50K +32,Private,185480,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Private,114251,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +25,Private,181814,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Female,0,0,40,United-States,<=50K +30,Private,340917,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +37,Private,241998,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,40,United-States,>50K +38,Self-emp-inc,125324,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,>50K +36,Private,34744,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Female,0,0,37,United-States,<=50K +56,Private,131608,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +35,Federal-gov,226916,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K +56,Private,124137,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,41,United-States,<=50K +17,Private,96282,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,14,United-States,<=50K +46,Private,337050,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K +56,Private,229335,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +61,State-gov,199495,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,111675,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,43,United-States,<=50K +27,Private,139209,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +50,Self-emp-not-inc,32372,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +33,Self-emp-not-inc,203784,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,62,United-States,<=50K +33,Private,164190,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +38,Private,64875,Some-college,10,Never-married,Farming-fishing,Unmarried,White,Male,0,0,60,United-States,<=50K +51,Private,41806,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,208725,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K +49,Local-gov,79019,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,0,0,16,United-States,<=50K +26,Private,136951,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +42,Private,203554,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +37,Private,252947,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,1719,32,United-States,<=50K +38,Private,170861,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +48,Private,199590,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,>50K +41,Private,529216,Bachelors,13,Divorced,Tech-support,Unmarried,Black,Male,7430,0,45,?,>50K +33,Private,195576,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,60,United-States,<=50K +30,Private,182177,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Ireland,<=50K +25,State-gov,183678,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +50,Private,209320,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +54,Self-emp-inc,206862,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,36,United-States,>50K +37,Private,168941,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,Self-emp-not-inc,201263,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,55,United-States,>50K +17,Private,75333,10th,6,Never-married,Sales,Own-child,Black,Female,0,0,24,United-States,<=50K +65,?,299494,11th,7,Married-civ-spouse,?,Husband,White,Male,1797,0,40,United-States,<=50K +56,Self-emp-not-inc,163212,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,99999,0,40,United-States,>50K +57,Private,139290,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,38,United-States,<=50K +33,Private,400416,10th,6,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K +41,Self-emp-not-inc,223763,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K +45,Private,77927,Bachelors,13,Widowed,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +50,Private,175804,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +18,Private,91525,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,25,United-States,<=50K +19,Private,279968,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +26,Private,77698,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +61,?,198686,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,>50K +67,?,190340,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,113491,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +29,Private,202878,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +27,Private,108431,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +35,Private,194490,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +37,Private,48093,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,90,United-States,>50K +22,Private,136824,11th,7,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,143280,10th,6,Never-married,Priv-house-serv,Own-child,White,Female,0,0,24,United-States,<=50K +26,Private,150062,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +27,Local-gov,298510,HS-grad,9,Divorced,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,177147,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,6849,0,65,United-States,<=50K +51,Private,115025,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,350440,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +60,Private,83850,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,62669,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +24,Private,229773,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +40,Local-gov,196234,HS-grad,9,Divorced,Craft-repair,Own-child,White,Female,0,0,40,Puerto-Rico,<=50K +69,?,163595,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +44,Private,157249,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,1977,50,United-States,>50K +65,Private,80174,HS-grad,9,Divorced,Exec-managerial,Other-relative,White,Female,1848,0,50,United-States,<=50K +52,Self-emp-inc,49069,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +38,Private,122952,HS-grad,9,Separated,Craft-repair,Unmarried,White,Female,0,0,35,United-States,<=50K +18,Private,123856,11th,7,Never-married,Sales,Own-child,White,Female,0,0,49,United-States,<=50K +24,Private,216181,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +52,Private,180062,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +21,Private,188535,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,44,United-States,<=50K +67,Self-emp-not-inc,106143,Doctorate,16,Married-civ-spouse,Sales,Husband,White,Male,20051,0,40,United-States,>50K +64,Self-emp-not-inc,170421,Some-college,10,Widowed,Craft-repair,Not-in-family,White,Female,0,0,8,United-States,<=50K +25,Private,283087,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Male,0,0,40,United-States,<=50K +34,Federal-gov,341051,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +39,Self-emp-not-inc,34378,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +26,Private,380674,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,52,United-States,<=50K +19,Private,304469,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,25,United-States,<=50K +35,Private,99146,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +26,Private,205109,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,99156,HS-grad,9,Separated,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +45,Private,97842,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,65,United-States,<=50K +18,Private,100875,11th,7,Never-married,Other-service,Unmarried,White,Female,0,0,28,United-States,<=50K +51,Private,200576,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,63,United-States,<=50K +36,Private,355053,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,28,United-States,<=50K +18,Private,118376,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,?,<=50K +37,Local-gov,117760,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,4650,0,40,United-States,<=50K +37,Private,117567,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +39,Federal-gov,189632,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +21,Private,170108,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +46,State-gov,27243,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K +33,Private,192663,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +23,Private,526164,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +52,Self-emp-not-inc,146579,HS-grad,9,Divorced,Sales,Unmarried,Black,Male,0,0,40,United-States,<=50K +28,Private,60288,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +23,State-gov,241951,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Self-emp-inc,213140,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +17,Private,218124,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +22,Self-emp-not-inc,279802,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,3,United-States,<=50K +26,Private,153078,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,80,?,>50K +40,Private,167919,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +90,Private,250832,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,193158,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +44,Private,172032,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,39484,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,7298,0,42,United-States,>50K +45,Private,84298,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +43,Private,269015,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,Germany,>50K +17,?,262196,10th,6,Never-married,?,Own-child,White,Male,0,0,8,United-States,<=50K +49,Federal-gov,125892,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +27,Private,134890,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,50,United-States,<=50K +60,Self-emp-not-inc,261119,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,119409,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Other,Female,0,0,40,Columbia,<=50K +53,Self-emp-not-inc,118793,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +19,Private,184207,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Self-emp-not-inc,191027,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,207782,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +48,Self-emp-not-inc,209146,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +76,?,79445,10th,6,Married-civ-spouse,?,Husband,White,Male,1173,0,40,United-States,<=50K +19,Private,187724,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +28,Private,66777,Assoc-voc,11,Married-civ-spouse,Other-service,Other-relative,White,Female,3137,0,40,United-States,<=50K +58,Private,158002,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,<=50K +19,Self-emp-not-inc,305834,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,25,United-States,<=50K +37,?,122265,HS-grad,9,Divorced,?,Not-in-family,Asian-Pac-Islander,Female,0,0,42,?,<=50K +22,Private,211798,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +52,Self-emp-not-inc,123011,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +31,Private,36302,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +50,Self-emp-not-inc,176867,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,3781,0,40,United-States,<=50K +62,Private,169204,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +26,Private,38232,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +64,State-gov,277657,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,24,United-States,<=50K +38,Private,32271,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,116825,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,80,United-States,>50K +28,Self-emp-not-inc,226198,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,28145,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,52,United-States,<=50K +39,Private,140477,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,10,United-States,<=50K +50,Private,165050,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Self-emp-inc,202937,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +36,Private,316298,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +39,Private,203070,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,49,United-States,<=50K +51,Self-emp-inc,103995,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +28,Private,176137,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K +57,Self-emp-not-inc,103948,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,>50K +40,Local-gov,39581,Prof-school,15,Separated,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K +27,Private,506436,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,Peru,<=50K +32,Private,226975,Some-college,10,Never-married,Sales,Own-child,White,Male,0,1876,60,United-States,<=50K +49,State-gov,154493,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,44,United-States,<=50K +34,Self-emp-not-inc,137223,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +24,Private,102323,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +54,Private,257765,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Guatemala,<=50K +52,Private,42924,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +43,Private,167599,11th,7,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,25,United-States,<=50K +84,?,368925,5th-6th,3,Widowed,?,Not-in-family,White,Male,0,0,15,United-States,<=50K +79,?,100881,Assoc-acdm,12,Married-civ-spouse,?,Wife,White,Female,0,0,2,United-States,>50K +35,Private,52738,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,46,United-States,<=50K +56,Private,98418,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,30,United-States,<=50K +30,Private,381153,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,103700,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,298635,Bachelors,13,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,50,United-States,<=50K +32,Private,127895,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +44,Self-emp-inc,212760,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +32,Private,281384,HS-grad,9,Married-AF-spouse,Other-service,Other-relative,White,Female,0,0,10,United-States,<=50K +60,Private,181200,12th,8,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,257364,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K +50,Private,283281,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +58,Private,214502,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,>50K +41,Private,69333,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +28,Private,190060,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +53,Private,95864,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,35,United-States,<=50K +71,?,144872,Some-college,10,Married-civ-spouse,?,Husband,White,Male,6514,0,40,United-States,>50K +17,?,275778,9th,5,Never-married,?,Own-child,White,Female,0,0,25,Mexico,<=50K +45,Private,27332,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,24395,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,30,United-States,<=50K +25,Private,330695,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +40,Self-emp-not-inc,171615,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,>50K +28,Private,116372,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +27,Private,38599,12th,8,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Local-gov,202184,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K +24,Private,315303,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,25,United-States,<=50K +38,Private,103456,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +24,State-gov,163480,Masters,14,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +18,Private,317425,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,7,United-States,<=50K +58,Private,216941,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,116541,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,44,United-States,>50K +43,Private,186396,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,20,United-States,<=50K +45,Private,273194,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,3137,0,35,United-States,<=50K +24,Private,385540,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Mexico,<=50K +63,Private,201631,9th,5,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K +40,Private,439919,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +21,Private,182117,Bachelors,13,Never-married,Other-service,Other-relative,White,Male,0,0,20,United-States,<=50K +20,State-gov,334113,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,184837,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,7298,0,40,United-States,>50K +49,?,228372,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,>50K +47,Federal-gov,211123,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Self-emp-inc,38819,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K +61,Private,162391,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1651,40,United-States,<=50K +23,?,302836,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,40,El-Salvador,<=50K +35,State-gov,89040,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +46,Private,264210,Some-college,10,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,20,United-States,<=50K +18,Private,87157,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +28,Self-emp-not-inc,398918,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +62,?,123612,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,4,United-States,<=50K +20,Private,155818,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +28,Private,243660,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,134195,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,238638,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,159929,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,198668,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,215504,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,158002,Some-college,10,Never-married,Craft-repair,Other-relative,White,Male,0,0,55,Ecuador,<=50K +53,Local-gov,35305,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,57,United-States,<=50K +25,Private,195994,1st-4th,2,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,Guatemala,<=50K +44,State-gov,321824,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,<=50K +22,Private,180449,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,28,United-States,<=50K +40,Private,201764,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,250038,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,?,<=50K +30,Self-emp-not-inc,226535,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +51,Private,136121,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +17,Private,47199,11th,7,Never-married,Priv-house-serv,Own-child,White,Female,0,0,24,United-States,<=50K +46,Local-gov,215895,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +50,State-gov,24647,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +34,Private,734193,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +42,?,321086,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K +41,Federal-gov,192589,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,326283,Bachelors,13,Never-married,Other-service,Unmarried,Other,Male,0,0,40,United-States,<=50K +32,Private,207284,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,109089,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,<=50K +50,Private,274528,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +77,Private,142646,7th-8th,4,Widowed,Priv-house-serv,Unmarried,White,Female,0,0,23,United-States,<=50K +33,Private,180859,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Self-emp-inc,188610,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +64,Private,169604,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,260560,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +34,Local-gov,188245,HS-grad,9,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,35,United-States,<=50K +67,Local-gov,103315,Masters,14,Never-married,Exec-managerial,Other-relative,White,Female,15831,0,72,United-States,>50K +37,Local-gov,52465,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,737315,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +22,?,195143,Some-college,10,Never-married,?,Own-child,White,Female,0,0,29,United-States,<=50K +50,Self-emp-not-inc,219420,Doctorate,16,Divorced,Sales,Not-in-family,White,Male,0,0,64,United-States,<=50K +60,Private,198170,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +46,Local-gov,183168,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,43,United-States,<=50K +44,Private,196545,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +43,Private,168412,HS-grad,9,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,44,Poland,<=50K +48,Private,174386,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,El-Salvador,>50K +36,Private,544686,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,2907,0,40,Nicaragua,<=50K +48,Private,95661,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K +37,Private,468713,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,169112,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +52,Private,74024,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +27,Private,110622,5th-6th,3,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,20,Vietnam,<=50K +43,Local-gov,33331,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +23,Private,181557,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,25,United-States,<=50K +66,Private,142624,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5556,0,40,Yugoslavia,>50K +37,Self-emp-not-inc,192251,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,2635,0,40,United-States,<=50K +35,Private,146091,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Local-gov,174575,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,40,United-States,>50K +49,Private,200949,10th,6,Never-married,Other-service,Unmarried,White,Female,0,0,38,Peru,<=50K +51,Local-gov,201560,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +71,Federal-gov,149386,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,9,United-States,<=50K +50,Local-gov,168672,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,40,United-States,>50K +63,Private,38352,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +41,State-gov,180272,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K +24,State-gov,275421,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +41,Local-gov,173051,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K +33,Local-gov,167474,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +42,Local-gov,267138,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +23,Private,135138,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +49,Private,218357,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K +28,Self-emp-not-inc,107236,12th,8,Married-civ-spouse,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,138416,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,56,Mexico,<=50K +28,Private,154863,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Male,0,0,35,United-States,<=50K +37,Private,194004,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K +19,Private,339123,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +51,Local-gov,548361,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,26,United-States,<=50K +25,Private,101812,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,41,United-States,<=50K +49,Self-emp-inc,127111,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +47,Private,171807,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K +48,Local-gov,40666,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +41,Local-gov,340682,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,175052,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +26,?,321629,HS-grad,9,Never-married,?,Unmarried,White,Female,0,0,16,United-States,<=50K +46,Private,154405,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +17,Private,108402,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +34,Private,346275,11th,7,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,43,United-States,<=50K +44,Private,42476,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,30,United-States,<=50K +23,Private,161708,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +35,Private,70447,Some-college,10,Never-married,Prof-specialty,Unmarried,Asian-Pac-Islander,Male,4650,0,20,United-States,<=50K +30,Private,189759,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,4865,0,40,United-States,<=50K +65,?,137354,Some-college,10,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K +34,Private,250724,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,Jamaica,<=50K +34,Federal-gov,149368,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +39,Private,154641,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,38309,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,2407,0,40,United-States,<=50K +53,Local-gov,202733,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,70,United-States,>50K +34,Private,56150,11th,7,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +21,Private,260254,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,108083,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +54,Self-emp-not-inc,71344,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +32,Private,174215,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +39,State-gov,114366,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +39,Private,158962,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,179498,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Germany,<=50K +29,Private,31935,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,149909,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K +20,?,58740,Some-college,10,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K +39,Private,216552,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,255348,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,176050,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +71,?,125101,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +62,?,197286,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +43,Local-gov,337469,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,594,0,20,Mexico,<=50K +31,Private,159737,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,58,United-States,<=50K +39,Private,316211,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +32,Private,127610,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,32,United-States,>50K +45,Local-gov,556652,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +19,Private,265576,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K +43,Private,347653,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K +32,Private,62374,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,170230,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K +34,Private,203051,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,27,United-States,<=50K +66,Self-emp-inc,115880,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,167735,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K +46,Self-emp-inc,181413,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +23,Private,185554,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +41,Private,350387,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +63,Private,225102,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,?,<=50K +55,Private,105582,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3103,0,40,United-States,>50K +35,Self-emp-not-inc,350247,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +28,Private,150025,9th,5,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,?,>50K +37,Private,107737,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +63,?,334741,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +43,Private,115562,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K +30,Self-emp-not-inc,131584,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K +36,Local-gov,95855,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,60,United-States,>50K +54,Private,391016,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +36,Federal-gov,51089,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +78,Self-emp-inc,188044,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2392,40,United-States,>50K +77,Private,117898,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +28,Private,70240,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +39,Self-emp-not-inc,187693,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,United-States,>50K +37,Private,341672,Bachelors,13,Separated,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +34,Private,208043,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,45,United-States,>50K +22,Local-gov,289982,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K +54,Private,76344,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +21,Private,200973,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +36,Private,111377,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +62,Self-emp-not-inc,136684,HS-grad,9,Widowed,Adm-clerical,Other-relative,White,Female,0,0,30,United-States,<=50K +40,Private,176716,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +47,Self-emp-not-inc,166894,Some-college,10,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +38,Private,243872,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K +28,Private,155621,5th-6th,3,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Columbia,<=50K +46,Private,102597,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,60331,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K +37,Private,75024,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,25,Canada,<=50K +69,Private,174474,10th,6,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,28,Peru,<=50K +43,Private,145441,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +53,Private,83434,Bachelors,13,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,21,Japan,>50K +20,Private,691830,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,35,United-States,<=50K +22,Private,189203,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +48,Private,115784,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +40,Federal-gov,280167,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +68,?,407338,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +39,Private,52978,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,1721,55,United-States,<=50K +57,Private,169329,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Black,Male,0,1887,40,Trinadad&Tobago,>50K +23,Private,315065,10th,6,Never-married,Other-service,Unmarried,White,Male,0,0,60,Mexico,<=50K +25,Local-gov,167835,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,38,United-States,>50K +22,Private,63105,HS-grad,9,Never-married,Prof-specialty,Own-child,Black,Male,0,0,40,United-States,<=50K +23,Private,520775,12th,8,Never-married,Priv-house-serv,Own-child,White,Male,0,0,30,United-States,<=50K +41,Local-gov,47902,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +25,Private,145434,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,25,United-States,<=50K +58,Private,56392,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,162312,HS-grad,9,Divorced,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,45,Japan,<=50K +28,Private,204074,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K +19,Private,99246,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,25,United-States,<=50K +44,Private,102085,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +68,Private,168794,Preschool,1,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,10,United-States,<=50K +33,State-gov,332379,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +24,Private,233419,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Self-emp-not-inc,57233,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,192337,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +31,Private,442429,HS-grad,9,Separated,Craft-repair,Unmarried,White,Female,0,0,40,Mexico,<=50K +29,Private,369114,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +65,Private,261334,9th,5,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Private,160303,HS-grad,9,Widowed,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +49,Private,50474,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,321577,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +41,Private,29591,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +33,Self-emp-not-inc,334744,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +22,Self-emp-not-inc,269474,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,287306,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +66,Private,33619,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,4,United-States,<=50K +38,Private,149347,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +43,Private,96249,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,>50K +40,Local-gov,370502,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +32,Private,188246,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +30,Private,167558,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,35,Mexico,<=50K +35,Private,292185,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,101593,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +33,Local-gov,70164,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K +36,Private,269722,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +33,Self-emp-not-inc,175502,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +53,Private,233165,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +27,Private,177351,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +22,Private,212114,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,15,United-States,<=50K +26,Private,288959,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,36,United-States,<=50K +64,Private,231619,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,21,United-States,<=50K +48,Private,146919,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +23,Private,388811,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +26,Private,243560,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,40,?,<=50K +35,Self-emp-not-inc,98360,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,369538,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +65,Self-emp-not-inc,31740,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +53,Private,223660,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Male,6849,0,40,United-States,<=50K +18,Private,333611,5th-6th,3,Never-married,Other-service,Other-relative,White,Male,0,0,54,Mexico,<=50K +34,Self-emp-not-inc,108247,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +28,Private,76129,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,Guatemala,<=50K +37,Private,91711,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +61,?,166855,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K +59,Private,182062,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,40,United-States,<=50K +32,Private,252752,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,13550,0,60,United-States,>50K +31,Private,43953,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,<=50K +25,Local-gov,84224,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +81,Private,100675,1st-4th,2,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,Poland,<=50K +47,Private,155509,HS-grad,9,Separated,Other-service,Other-relative,Black,Female,0,0,35,United-States,<=50K +39,Private,29814,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,241805,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,30,United-States,<=50K +44,Private,214838,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +37,Private,240810,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +41,Private,154076,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +27,?,175552,5th-6th,3,Married-civ-spouse,?,Wife,White,Female,0,0,40,Mexico,<=50K +55,Private,170287,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Poland,>50K +60,Private,145995,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +22,Private,433669,Assoc-acdm,12,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,36,?,<=50K +23,Private,233626,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K +19,Private,607799,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,60,United-States,<=50K +45,Private,88500,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,>50K +36,Private,127809,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K +46,Private,243743,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +48,Private,177211,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +39,Self-emp-not-inc,231180,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +29,Private,253856,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K +39,Private,177075,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,152855,HS-grad,9,Never-married,Exec-managerial,Own-child,Other,Female,0,0,40,Mexico,<=50K +37,Private,191137,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Male,0,0,25,United-States,<=50K +49,Private,255559,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +27,Private,169815,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,221215,10th,6,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K +35,Private,270059,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +54,?,31588,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2635,0,40,United-States,<=50K +17,Private,345403,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,194897,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +33,Private,388741,Some-college,10,Never-married,Adm-clerical,Unmarried,Other,Female,0,0,38,United-States,<=50K +33,Private,355856,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,60,United-States,<=50K +51,Private,122109,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K +49,Private,75673,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +49,Self-emp-inc,141058,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,2339,50,United-States,<=50K +41,Private,47902,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K +64,Private,221343,1st-4th,2,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,12,United-States,<=50K +40,Private,255675,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +49,Federal-gov,203505,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,125106,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,139890,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,76878,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K +47,Self-emp-not-inc,28035,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,86,United-States,<=50K +30,Private,43953,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,1974,40,United-States,<=50K +36,Private,163237,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +23,Local-gov,55890,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Self-emp-not-inc,255934,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,<=50K +61,Private,168654,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,Canada,<=50K +47,Self-emp-not-inc,39986,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,208451,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +20,Private,206681,12th,8,Never-married,Sales,Not-in-family,White,Female,0,0,55,United-States,<=50K +33,Private,117779,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,46,United-States,>50K +36,Self-emp-not-inc,129150,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K +38,?,177273,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,35,United-States,<=50K +34,Local-gov,226443,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +56,Private,146326,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,187901,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,23,United-States,<=50K +26,Private,97153,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,40,United-States,>50K +49,Private,188694,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +71,Private,187493,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +19,Private,212468,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +20,Private,84726,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,137907,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +51,Private,34361,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,20,United-States,>50K +38,Private,254114,Some-college,10,Married-spouse-absent,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K +38,Private,170174,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +35,Self-emp-not-inc,190895,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,25,United-States,<=50K +24,Local-gov,317443,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,<=50K +40,Private,375603,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Male,0,0,40,United-States,<=50K +21,Private,203076,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +49,Private,53893,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,?,171748,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,24,United-States,<=50K +54,Private,167770,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,55,United-States,>50K +52,Private,204584,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,42,United-States,<=50K +27,Private,660870,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +20,Private,105686,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,?,70282,Masters,14,Married-civ-spouse,?,Wife,Black,Female,15024,0,2,United-States,>50K +31,Private,148607,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,255849,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +19,Federal-gov,255921,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,England,<=50K +33,Private,113326,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,440456,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,105493,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,259757,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,653,50,United-States,>50K +37,Local-gov,89491,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,171818,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +40,Private,51151,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,188957,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,97933,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Self-emp-inc,195447,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +63,?,46907,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,>50K +54,Self-emp-inc,383365,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K +32,Self-emp-not-inc,203408,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +29,Local-gov,148182,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +26,Local-gov,211497,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +39,Self-emp-not-inc,48063,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +57,Private,211804,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,50,United-States,>50K +54,Private,185407,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,225927,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +23,Federal-gov,314525,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Self-emp-not-inc,208577,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +42,Private,222884,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K +31,Private,209538,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Local-gov,177114,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +50,Private,173754,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Local-gov,121370,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K +37,Private,67125,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +26,Private,67240,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,198346,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +24,Private,141003,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,25,United-States,<=50K +24,Self-emp-inc,60668,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,104256,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,34,United-States,<=50K +47,Private,131002,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +33,Self-emp-not-inc,155151,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1740,50,United-States,<=50K +26,Private,177720,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K +20,Private,39615,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,203871,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,40,United-States,>50K +57,State-gov,25045,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Male,2174,0,37,United-States,<=50K +36,Private,112264,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +25,Private,169100,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,155659,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Germany,>50K +39,Private,291665,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,4508,0,24,United-States,<=50K +29,Private,224215,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +18,Private,270502,11th,7,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K +46,Private,125487,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,51385,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +41,Private,112763,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Private,108926,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +53,Private,366957,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,99999,0,50,India,>50K +36,Local-gov,109766,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Male,0,0,60,United-States,<=50K +38,Private,226106,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +75,Self-emp-not-inc,92792,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +26,Private,186950,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +44,Private,230478,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +25,Private,231638,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +31,Private,120461,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +49,Private,33673,12th,8,Never-married,Transport-moving,Not-in-family,Asian-Pac-Islander,Male,0,0,35,United-States,<=50K +34,Private,191385,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +31,Self-emp-not-inc,229946,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Columbia,<=50K +47,Self-emp-not-inc,160131,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,190895,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K +18,Private,126021,HS-grad,9,Never-married,Craft-repair,Own-child,White,Female,0,0,20,United-States,<=50K +47,Private,27815,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,1719,30,United-States,<=50K +42,Private,203542,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,144592,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +38,Local-gov,223004,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,75,United-States,<=50K +22,Private,183257,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K +32,Private,172714,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,131611,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,48,United-States,<=50K +41,Private,253060,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +46,Private,471990,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,46,United-States,>50K +44,Private,138966,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,38,United-States,<=50K +35,Private,385412,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,?,184101,Some-college,10,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +60,Private,103344,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,40,United-States,>50K +36,Local-gov,135786,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K +30,Private,227359,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +40,State-gov,86912,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +21,Private,83033,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,2176,0,20,United-States,<=50K +25,Private,172581,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,State-gov,274111,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,1669,40,United-States,<=50K +42,Private,187795,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,55,United-States,>50K +26,Private,483822,7th-8th,4,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,Guatemala,<=50K +66,Self-emp-inc,220543,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +48,Private,152953,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,Dominican-Republic,<=50K +35,Private,239755,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K +41,Private,177905,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +19,Private,200136,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +55,Self-emp-not-inc,111625,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,336513,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,60,United-States,>50K +45,Private,162915,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +29,Private,116662,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,24763,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +65,Private,225580,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +30,Private,169104,Assoc-acdm,12,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +43,Private,212894,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,93997,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Italy,<=50K +22,Private,189924,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +23,Private,274424,11th,7,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,188246,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,284211,HS-grad,9,Widowed,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K +21,Private,198259,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +31,Private,368517,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +34,Private,168768,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +33,Federal-gov,122220,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,>50K +32,Private,136204,Masters,14,Separated,Exec-managerial,Not-in-family,White,Male,0,2824,55,United-States,>50K +44,Private,175641,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +21,State-gov,173324,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K +75,Local-gov,31195,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +55,Federal-gov,88876,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,United-States,>50K +43,Self-emp-not-inc,176069,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,16,United-States,<=50K +31,Private,215297,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +41,Private,198425,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +26,Local-gov,180957,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +23,Private,206129,Assoc-voc,11,Never-married,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K +42,Federal-gov,65950,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +29,Private,197618,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,185357,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K +28,Private,134890,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +64,?,193043,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +35,Federal-gov,153633,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +65,Private,115890,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K +34,Private,394447,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,2463,0,50,France,<=50K +58,Private,343957,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +63,?,247986,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K +50,Private,238959,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,60,?,>50K +59,Private,159048,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,423222,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +30,Private,89735,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +28,Private,31778,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +51,?,157327,5th-6th,3,Married-civ-spouse,?,Husband,Black,Male,0,0,8,United-States,<=50K +47,Private,233511,Masters,14,Divorced,Sales,Not-in-family,White,Male,27828,0,60,United-States,>50K +30,Private,327112,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,1564,40,United-States,>50K +34,Private,236543,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +51,State-gov,194475,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,303510,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,171242,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +28,Self-emp-not-inc,39388,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +62,Local-gov,197218,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,18,United-States,<=50K +22,State-gov,151991,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,20,United-States,<=50K +38,Private,374524,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +34,?,267352,11th,7,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +45,Local-gov,364563,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +37,Private,186035,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +21,Private,47541,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +49,Private,151107,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +24,Private,500509,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +47,Private,138107,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,2258,40,United-States,>50K +20,Federal-gov,225515,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,24,United-States,<=50K +27,Private,153291,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +40,Private,169885,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,?,112780,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +31,Local-gov,175778,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,55213,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1977,52,United-States,>50K +48,Private,38950,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +64,Self-emp-not-inc,65991,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,7298,0,45,United-States,>50K +39,Private,174330,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +50,Private,35224,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,175622,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,164678,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,<=50K +50,?,87263,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,55,United-States,>50K +54,Private,163671,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,65,United-States,>50K +17,Self-emp-not-inc,181317,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,35,United-States,<=50K +33,Federal-gov,177945,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +28,Private,47168,10th,6,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +39,Self-emp-not-inc,190023,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +33,Private,168782,Assoc-voc,11,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +59,Private,175290,7th-8th,4,Never-married,Other-service,Other-relative,White,Male,0,0,32,United-States,<=50K +74,Private,145463,1st-4th,2,Widowed,Priv-house-serv,Not-in-family,Black,Female,0,0,15,United-States,<=50K +54,Private,159755,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +31,Private,113364,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K +31,Private,487742,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +20,Private,304710,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K +54,Local-gov,185846,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K +42,Private,212894,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,2407,0,40,United-States,<=50K +57,Self-emp-not-inc,315460,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,<=50K +49,Private,135643,HS-grad,9,Widowed,Craft-repair,Unmarried,Asian-Pac-Islander,Female,0,0,40,South,<=50K +40,Private,220977,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,3103,0,40,India,>50K +19,?,117444,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +38,Private,202683,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,164866,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,>50K +43,Private,191814,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K +32,?,227160,Some-college,10,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,158077,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +38,Private,191103,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,99,United-States,>50K +25,Private,193701,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K +40,Private,143046,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +34,Private,206297,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +35,Self-emp-not-inc,188563,HS-grad,9,Divorced,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K +53,Private,35102,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,34,United-States,<=50K +21,Private,203055,Some-college,10,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +43,Private,309932,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,243432,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +22,Private,177107,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,35,United-States,<=50K +64,Self-emp-not-inc,113929,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +19,?,291509,12th,8,Never-married,?,Own-child,White,Male,0,0,28,United-States,<=50K +40,Private,222011,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,3325,0,40,United-States,<=50K +34,Private,186824,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,70,United-States,<=50K +46,Private,192768,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +35,Private,234962,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K +32,Private,83253,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +26,Private,248990,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,346159,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +55,Private,272656,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,55,United-States,>50K +22,Private,60552,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +29,State-gov,33798,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +38,Self-emp-not-inc,112158,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,99,United-States,<=50K +55,Private,200992,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +26,Private,98155,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +34,Self-emp-inc,79586,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Other,Male,0,0,60,United-States,<=50K +25,State-gov,143062,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +39,Private,101146,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,4650,0,40,United-States,<=50K +18,?,284450,11th,7,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +58,State-gov,159021,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +34,Local-gov,353270,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K +29,Self-emp-not-inc,162312,Some-college,10,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,45,South,<=50K +49,State-gov,231961,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Male,0,0,50,United-States,>50K +38,Private,181943,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +21,Private,163595,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +28,Private,130856,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +42,Private,208875,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,El-Salvador,>50K +29,Self-emp-not-inc,58744,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,60,United-States,<=50K +48,Private,116641,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +40,Private,69333,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,320811,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +34,Private,197886,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +57,Self-emp-not-inc,253914,1st-4th,2,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,Mexico,<=50K +24,Private,89154,9th,5,Never-married,Other-service,Not-in-family,White,Male,0,0,40,El-Salvador,<=50K +32,Private,372317,9th,5,Separated,Other-service,Unmarried,White,Female,0,0,23,Mexico,<=50K +18,Self-emp-not-inc,296090,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,48,?,<=50K +39,Private,192614,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,56,United-States,<=50K +39,Private,403489,11th,7,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,169652,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K +20,Private,217467,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +27,?,162104,9th,5,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +54,Private,175912,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +40,Self-emp-not-inc,179533,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,75,United-States,>50K +27,Private,149624,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,United-States,<=50K +27,Private,289147,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +43,Federal-gov,347720,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K +22,Private,406978,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K +17,Private,193199,11th,7,Never-married,Sales,Unmarried,White,Female,0,0,12,Poland,<=50K +37,Self-emp-inc,163998,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +49,Private,173115,10th,6,Separated,Exec-managerial,Not-in-family,Black,Male,4416,0,99,United-States,<=50K +33,Private,333701,Assoc-voc,11,Never-married,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K +21,State-gov,48121,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,1602,10,United-States,<=50K +45,Private,186256,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,104525,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,104097,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,60,United-States,<=50K +71,Private,212806,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,36,United-States,<=50K +23,Local-gov,203353,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,45,United-States,<=50K +41,Private,130126,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,>50K +21,?,270043,10th,6,Never-married,?,Unmarried,White,Female,0,0,30,United-States,<=50K +47,Private,218435,HS-grad,9,Married-spouse-absent,Sales,Unmarried,White,Female,0,0,20,Cuba,<=50K +30,Private,154120,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K +40,Private,193537,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Dominican-Republic,<=50K +44,Private,84535,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K +50,Private,150999,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K +31,State-gov,157673,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +68,Private,217424,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,24,United-States,<=50K +45,Private,358886,12th,8,Married-civ-spouse,Adm-clerical,Husband,White,Male,2407,0,50,United-States,<=50K +38,Private,186191,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +78,Self-emp-inc,212660,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,10,United-States,<=50K +31,Self-emp-inc,31740,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K +39,Private,498785,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,35945,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,45,United-States,>50K +46,Local-gov,162566,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,Canada,<=50K +30,Private,118861,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K +34,Private,206609,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,35,United-States,<=50K +30,Federal-gov,423064,HS-grad,9,Separated,Adm-clerical,Other-relative,Black,Male,0,0,35,United-States,<=50K +47,Private,191957,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K +40,Private,223934,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,17,United-States,>50K +62,?,129246,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,195486,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,70,Jamaica,<=50K +40,Private,114580,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Female,0,0,40,Vietnam,<=50K +20,Private,119215,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,240554,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +55,Private,199067,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,42,United-States,>50K +51,Private,144084,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +38,Private,358682,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +49,Local-gov,59612,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +49,State-gov,391585,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +30,Local-gov,101345,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,26,United-States,<=50K +20,Private,117618,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,231238,9th,5,Separated,Farming-fishing,Unmarried,Black,Male,0,0,40,United-States,<=50K +42,Local-gov,143046,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K +46,Private,326857,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,2415,65,United-States,>50K +43,Private,203642,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +62,Private,88579,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +21,Private,240517,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,70,United-States,<=50K +58,Local-gov,156649,1st-4th,2,Widowed,Handlers-cleaners,Unmarried,Black,Male,0,0,40,United-States,<=50K +30,Private,143392,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +37,Private,365465,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,70,Philippines,<=50K +22,State-gov,264710,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +64,State-gov,223830,9th,5,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +42,Private,154374,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +43,State-gov,242521,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,124569,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,209230,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,6,United-States,<=50K +21,Private,162228,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +45,Federal-gov,60267,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +55,Self-emp-not-inc,76901,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +24,Private,137876,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +70,Self-emp-not-inc,347910,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +27,Local-gov,138917,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +34,Private,532379,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,31532,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,30973,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,117295,1st-4th,2,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +32,Private,295282,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +42,Private,190786,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,246207,Bachelors,13,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +50,Private,130780,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +36,Private,186212,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +42,Private,175526,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,207025,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,6849,0,38,United-States,<=50K +39,Federal-gov,82622,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +51,Private,199688,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,?,>50K +38,State-gov,318886,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,52,United-States,<=50K +18,Private,256005,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +63,Self-emp-not-inc,217715,5th-6th,3,Never-married,Sales,Not-in-family,White,Female,0,0,3,United-States,<=50K +50,Private,205803,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K +82,Self-emp-not-inc,240491,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Cuba,<=50K +33,Private,154120,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K +37,Private,69251,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +24,Private,333505,HS-grad,9,Married-spouse-absent,Transport-moving,Own-child,White,Male,0,0,40,Peru,<=50K +31,Private,168521,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +59,Private,193568,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +18,Private,426895,12th,8,Never-married,Farming-fishing,Own-child,White,Male,0,0,55,United-States,<=50K +47,Self-emp-not-inc,131826,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,79646,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +27,Private,167031,Bachelors,13,Never-married,Prof-specialty,Unmarried,Other,Female,0,0,33,United-States,<=50K +34,Private,73199,11th,7,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +50,Private,114056,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,84,United-States,<=50K +57,Self-emp-not-inc,110417,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,75,United-States,<=50K +60,Private,33266,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,154410,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +56,?,154537,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,50,United-States,>50K +18,Private,27780,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +26,Private,142914,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,75,United-States,<=50K +37,Private,190987,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,7298,0,40,United-States,>50K +20,Private,314422,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +29,Local-gov,273771,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +30,Private,175083,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,52,United-States,<=50K +21,Private,63665,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +24,Local-gov,193416,Some-college,10,Never-married,Protective-serv,Own-child,White,Female,0,0,40,United-States,<=50K +51,Private,74275,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,122609,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Private,225456,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K +36,Local-gov,116892,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,196971,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,72,United-States,<=50K +20,Private,105312,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +46,Private,108699,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +44,Private,171615,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +39,Private,388023,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K +39,Private,181553,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K +45,Private,170850,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,>50K +28,Private,187479,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +44,Private,277720,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K +48,Local-gov,493862,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,7298,0,38,United-States,>50K +27,Private,220754,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,70,United-States,<=50K +34,Self-emp-not-inc,209768,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,93225,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Federal-gov,341709,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,236242,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +21,Private,121889,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K +18,Private,318190,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +63,Self-emp-not-inc,111306,7th-8th,4,Widowed,Farming-fishing,Unmarried,White,Female,0,0,10,United-States,<=50K +18,Private,198614,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,8,United-States,<=50K +32,Private,193231,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,?,104614,11th,7,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,172368,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K +23,Private,60331,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +38,Private,154568,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K +36,Private,192939,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K +43,Private,138184,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,1762,35,United-States,<=50K +45,Private,238567,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,England,>50K +30,Private,208068,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K +46,Private,181810,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,4064,0,40,United-States,<=50K +24,Federal-gov,283918,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,25,United-States,<=50K +42,Private,107276,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,2444,40,United-States,>50K +23,Private,37783,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +27,Private,263552,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K +48,Private,255439,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Self-emp-inc,344275,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K +31,Private,70568,1st-4th,2,Never-married,Other-service,Other-relative,White,Female,0,0,25,El-Salvador,<=50K +18,Private,127827,12th,8,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +36,Private,185203,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Private,123436,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +51,Self-emp-not-inc,136322,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1579,40,United-States,<=50K +22,Private,187052,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +72,Private,177769,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K +61,Private,68268,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K +42,Private,424855,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3908,0,40,United-States,<=50K +37,Federal-gov,81853,HS-grad,9,Divorced,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,?,<=50K +30,Self-emp-inc,153549,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +40,Private,271393,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,198148,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +65,Private,469602,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K +36,Private,163290,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,295949,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,125279,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +64,Local-gov,182866,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +61,Self-emp-not-inc,111563,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,>50K +38,Private,34173,Bachelors,13,Never-married,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K +27,Private,183627,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +24,Private,197757,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +39,Private,98941,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +44,Private,205474,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +47,Private,206659,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +73,?,191394,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +66,Private,244661,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +53,Private,47396,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +43,State-gov,270721,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +57,State-gov,32694,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +44,Private,171256,Assoc-acdm,12,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,45,United-States,<=50K +59,Private,169982,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2002,50,United-States,<=50K +52,Self-emp-not-inc,217210,HS-grad,9,Widowed,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K +46,Private,218329,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,386643,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +37,Federal-gov,125933,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +41,Self-emp-not-inc,155767,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +39,Federal-gov,432555,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,1628,40,United-States,<=50K +30,Private,54929,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +59,Private,162136,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,56,United-States,<=50K +22,Private,256504,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +40,Private,162098,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K +39,Self-emp-not-inc,103110,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,227610,10th,6,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,58,United-States,<=50K +63,Private,176696,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +51,Private,220019,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Self-emp-inc,242984,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +38,Private,187847,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +17,Private,132636,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +20,Private,108887,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +42,Self-emp-not-inc,195897,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,112181,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,12,United-States,>50K +56,Local-gov,391926,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,195505,10th,6,Never-married,Sales,Own-child,White,Male,0,0,5,United-States,<=50K +31,Private,43819,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,43,United-States,>50K +23,Private,145389,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +33,?,186824,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +36,Local-gov,101833,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,82283,5th-6th,3,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K +52,Private,99602,HS-grad,9,Separated,Craft-repair,Own-child,Black,Female,0,0,40,United-States,<=50K +28,Private,213276,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +59,Private,424468,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K +30,Private,176123,10th,6,Never-married,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +32,Private,38797,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,101859,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +53,Private,87158,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,205066,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K +26,Private,56929,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,50,?,<=50K +34,Private,25322,Bachelors,13,Married-spouse-absent,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,2339,40,?,<=50K +31,Private,87950,Assoc-voc,11,Divorced,Sales,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +34,Private,150154,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +58,Private,142076,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Male,4787,0,39,United-States,>50K +30,State-gov,112139,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,149217,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +27,Private,189974,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +23,Private,109199,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +24,Private,190290,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +36,Private,189404,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,35,United-States,>50K +33,Federal-gov,428271,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K +22,State-gov,134192,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,10,United-States,<=50K +47,Private,168211,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +34,Private,277314,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,Black,Male,0,1902,50,United-States,>50K +44,Federal-gov,316120,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,>50K +41,Private,107276,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +45,?,112453,HS-grad,9,Separated,?,Not-in-family,Asian-Pac-Islander,Male,0,0,4,United-States,<=50K +24,Private,346909,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,Mexico,<=50K +65,?,105017,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,317360,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K +23,Private,189017,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K +54,Private,138179,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,299813,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,37,Dominican-Republic,<=50K +45,Private,265083,5th-6th,3,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,35,Mexico,<=50K +50,Private,185846,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,184655,Assoc-acdm,12,Never-married,Other-service,Other-relative,White,Male,0,0,25,United-States,<=50K +24,Private,200295,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,117319,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,40,United-States,<=50K +50,Private,63000,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +58,Self-emp-not-inc,106942,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +47,Private,52795,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,46,United-States,<=50K +37,Private,51264,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,99,France,>50K +37,Self-emp-not-inc,410919,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +22,Private,105592,Assoc-acdm,12,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +29,Self-emp-not-inc,183151,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K +45,Private,209912,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K +49,Self-emp-not-inc,275845,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +44,Local-gov,241851,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,4386,0,40,United-States,>50K +72,Private,89299,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,16,United-States,<=50K +63,Self-emp-not-inc,106648,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,12,United-States,<=50K +26,Private,58426,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +58,Self-emp-not-inc,121912,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K +40,Private,170730,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +56,Private,257555,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +55,Self-emp-not-inc,51499,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K +28,Private,195000,Bachelors,13,Never-married,Sales,Other-relative,White,Female,0,0,45,United-States,<=50K +57,Private,108741,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +37,Private,184964,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K +44,Private,156815,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,49325,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,121718,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Germany,<=50K +18,Private,172076,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +57,Self-emp-not-inc,327901,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +53,Local-gov,215990,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K +38,Private,210866,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K +33,Private,322873,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +42,Private,265698,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +70,?,26990,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K +50,Private,177896,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +50,Private,189107,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,306830,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Nicaragua,<=50K +72,Federal-gov,39110,11th,7,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,8,Canada,<=50K +33,Private,155475,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,135803,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,25,Philippines,<=50K +48,Private,117849,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +64,Self-emp-not-inc,339321,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,24,United-States,>50K +19,Private,318822,11th,7,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,35,United-States,<=50K +48,Private,174794,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,204277,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1848,48,United-States,>50K +55,Private,182460,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,35,United-States,>50K +24,Private,193920,Masters,14,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,45,?,<=50K +42,Federal-gov,91468,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,106760,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,50,Canada,>50K +34,Private,375680,Assoc-acdm,12,Never-married,Craft-repair,Own-child,Black,Female,0,0,40,United-States,<=50K +55,Self-emp-inc,222615,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +22,Private,190968,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,76767,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +50,Self-emp-not-inc,203098,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +47,Local-gov,162187,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,40,United-States,>50K +25,Private,242729,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +52,Private,253784,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +30,Private,206051,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,181553,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +73,Self-emp-inc,80986,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K +50,Private,200783,7th-8th,4,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +34,Private,42596,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +24,Private,464502,Assoc-acdm,12,Never-married,Sales,Not-in-family,Black,Male,0,0,40,?,<=50K +66,Private,205724,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,24,United-States,>50K +22,Private,446140,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,55,United-States,<=50K +69,Local-gov,32287,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,25,United-States,<=50K +23,Private,56774,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +55,Private,308118,Bachelors,13,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,?,<=50K +35,Private,176279,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K +20,Private,103277,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +70,Self-emp-inc,225780,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,>50K +54,Private,154728,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,7688,0,40,United-States,>50K +34,Private,149943,HS-grad,9,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K +38,State-gov,22245,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +33,Private,93056,7th-8th,4,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,270522,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,26,United-States,<=50K +60,Self-emp-inc,123218,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +81,Self-emp-not-inc,123959,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,1668,3,Hungary,<=50K +32,Self-emp-not-inc,103642,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +34,Private,157747,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +46,Self-emp-not-inc,154083,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,25,United-States,<=50K +30,State-gov,23037,Some-college,10,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Male,0,0,84,United-States,<=50K +23,?,226891,HS-grad,9,Never-married,?,Other-relative,Asian-Pac-Islander,Female,0,0,20,South,<=50K +29,Private,50028,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,138251,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +31,Private,369825,7th-8th,4,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,25,United-States,<=50K +36,Federal-gov,44364,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,36,United-States,<=50K +23,Private,230704,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,22,United-States,<=50K +35,Private,42044,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,United-States,<=50K +28,Local-gov,56340,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,State-gov,156015,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +40,Private,163434,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,85251,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +38,Self-emp-inc,187411,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +47,Private,155124,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,1669,40,United-States,<=50K +25,Private,396633,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,56,United-States,>50K +45,Private,182313,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +38,Private,52596,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +66,?,260111,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +65,Local-gov,143570,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +30,Private,160634,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,>50K +54,Private,29909,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,43,United-States,<=50K +49,Private,94215,12th,8,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Self-emp-not-inc,151990,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,15,United-States,>50K +48,Federal-gov,188081,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +23,Private,218445,5th-6th,3,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,12,Mexico,<=50K +77,Private,235775,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,Cuba,<=50K +19,Private,98605,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +30,Private,188398,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +41,Self-emp-inc,140365,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,55,United-States,>50K +35,Private,202950,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,Iran,>50K +20,Private,218215,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +66,Self-emp-inc,197816,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,10605,0,40,United-States,>50K +49,Private,147002,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K +52,Private,138497,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +24,Private,57711,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K +50,Private,169925,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,15,United-States,<=50K +22,Private,72310,11th,7,Never-married,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K +19,Private,170800,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +39,Private,215095,11th,7,Never-married,Prof-specialty,Unmarried,White,Female,0,0,30,Puerto-Rico,<=50K +45,Private,480717,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,38,?,<=50K +61,Local-gov,34632,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +45,Private,140664,Assoc-acdm,12,Divorced,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K +36,Local-gov,177858,Bachelors,13,Married-civ-spouse,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,160369,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,45,United-States,>50K +38,Private,129102,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +52,Local-gov,278522,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +29,Federal-gov,124953,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,42,United-States,>50K +33,Private,63184,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Self-emp-not-inc,165815,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,248584,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K +46,Local-gov,226871,Bachelors,13,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,50,United-States,>50K +44,Private,267717,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,45,United-States,>50K +19,Private,60367,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,13,United-States,<=50K +44,Private,134120,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +40,Private,95639,HS-grad,9,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +20,Private,132053,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,2,United-States,<=50K +24,Private,138768,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +76,Private,203910,HS-grad,9,Widowed,Other-service,Not-in-family,White,Male,0,0,17,United-States,<=50K +20,Private,109952,HS-grad,9,Married-civ-spouse,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K +33,Private,155781,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +31,Private,49398,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,159303,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,248339,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +29,Private,190539,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1590,50,United-States,<=50K +30,Private,183620,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +48,Private,25468,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,99999,0,50,United-States,>50K +42,Private,201495,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,52221,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +54,Self-emp-inc,96460,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K +42,Private,325353,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,42,United-States,>50K +28,Self-emp-not-inc,176027,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K +42,Local-gov,266135,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,>50K +60,State-gov,194252,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,3103,0,40,United-States,>50K +76,?,164835,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,25,United-States,<=50K +21,Private,363192,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,31360,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,63503,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +44,Private,157614,HS-grad,9,Divorced,Sales,Own-child,White,Male,0,0,38,United-States,<=50K +45,Private,160647,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,4687,0,35,United-States,>50K +38,Private,363395,Some-college,10,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +28,Private,338376,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +29,Private,87523,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +20,Private,280714,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +49,Self-emp-inc,119565,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +36,Local-gov,171482,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,>50K +40,Self-emp-inc,49249,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +17,Private,331552,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +45,Private,174426,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,184105,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,28,United-States,<=50K +29,Private,37933,Bachelors,13,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +57,Self-emp-not-inc,291529,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,13,United-States,>50K +23,Private,376416,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,263612,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,Haiti,<=50K +23,Private,227471,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K +39,Private,191103,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,35644,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +43,Self-emp-not-inc,227298,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +25,State-gov,187508,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,184378,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,Puerto-Rico,<=50K +52,Self-emp-not-inc,190333,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,25,United-States,<=50K +48,Private,155372,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,36,United-States,<=50K +37,Private,259882,Assoc-voc,11,Never-married,Sales,Unmarried,Black,Female,0,0,6,United-States,<=50K +36,Private,217077,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +33,Private,103596,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +36,Local-gov,188236,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +24,Private,353010,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,10,United-States,<=50K +42,Local-gov,70655,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Self-emp-inc,64874,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +40,Federal-gov,219240,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,22,United-States,<=50K +50,Self-emp-inc,104849,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K +40,Private,173590,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +22,Private,412316,HS-grad,9,Never-married,Sales,Other-relative,Black,Male,0,0,40,?,<=50K +57,Self-emp-inc,195835,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +51,Local-gov,170579,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +61,Federal-gov,230545,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,Puerto-Rico,<=50K +71,Private,162297,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,20,United-States,<=50K +47,Private,169549,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +38,Private,117528,Bachelors,13,Never-married,Other-service,Other-relative,White,Female,0,0,45,United-States,<=50K +25,Private,273876,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K +33,Private,529104,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +40,State-gov,456110,11th,7,Divorced,Transport-moving,Unmarried,White,Female,0,0,52,United-States,<=50K +39,?,180868,11th,7,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +29,Private,170301,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,2829,0,40,United-States,<=50K +33,Private,55717,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,166181,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,36,United-States,<=50K +24,Private,52242,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +28,Private,224629,Masters,14,Never-married,Exec-managerial,Not-in-family,Other,Male,0,0,30,Cuba,<=50K +20,Private,197997,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,46144,Some-college,10,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +34,State-gov,180871,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,<=50K +25,Private,212311,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +36,Private,232874,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,175999,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,177121,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,58,United-States,<=50K +57,Private,299358,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,0,1719,25,United-States,<=50K +20,?,326624,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +56,Private,129836,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,10,United-States,<=50K +24,Private,225515,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +60,Private,145664,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K +37,Private,151764,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +27,Private,183523,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +54,Private,257869,Some-college,10,Separated,Other-service,Not-in-family,White,Male,0,0,28,Columbia,<=50K +40,Private,73025,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,30,China,<=50K +18,Private,165532,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +51,Federal-gov,140035,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +40,Self-emp-not-inc,325159,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +64,Federal-gov,161926,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,8,United-States,<=50K +24,Private,163665,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,2174,0,40,United-States,<=50K +33,Private,106938,HS-grad,9,Married-civ-spouse,Tech-support,Wife,Black,Female,0,0,38,United-States,<=50K +31,Private,97453,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Local-gov,242464,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,3103,0,40,United-States,>50K +54,Private,155233,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,14084,0,40,United-States,>50K +31,Private,248653,1st-4th,2,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,37,Mexico,<=50K +39,Private,59313,12th,8,Married-spouse-absent,Transport-moving,Not-in-family,Black,Male,0,0,45,?,<=50K +22,Private,141297,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,227325,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +68,Private,123653,5th-6th,3,Separated,Other-service,Not-in-family,White,Male,0,0,12,Italy,<=50K +59,Federal-gov,176317,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K +35,Self-emp-not-inc,77146,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,45,United-States,<=50K +25,Private,169124,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,179413,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +35,Private,180137,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,<=50K +17,State-gov,179319,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +19,Private,45766,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K +53,Private,152810,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,55,United-States,>50K +59,Private,214052,5th-6th,3,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,201141,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,37,United-States,<=50K +74,Self-emp-not-inc,43599,HS-grad,9,Widowed,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K +28,Private,292536,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +40,Private,82161,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,180656,Some-college,10,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K +20,Private,181370,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +80,Private,148623,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +51,Private,84399,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +17,Private,143331,10th,6,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +37,Federal-gov,48779,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +19,?,175495,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,24,United-States,<=50K +58,Private,83542,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,214619,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,160035,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Federal-gov,39603,Some-college,10,Never-married,Craft-repair,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +36,Private,181589,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,32,Columbia,<=50K +33,Private,261511,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,29522,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +30,Private,36340,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,24,United-States,<=50K +41,Private,320984,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,65,United-States,>50K +57,?,403625,Some-college,10,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,60,United-States,>50K +23,Private,122346,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,105794,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,14084,0,50,United-States,>50K +53,Private,152883,HS-grad,9,Widowed,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +31,State-gov,123037,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,13,United-States,<=50K +41,?,339682,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,40,Mexico,<=50K +36,Private,182074,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K +30,Private,248588,12th,8,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,187584,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Canada,<=50K +36,Private,46706,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,190290,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +48,Self-emp-not-inc,247294,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,Peru,<=50K +22,Private,117779,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,121602,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,451744,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +32,Private,107793,HS-grad,9,Divorced,Other-service,Own-child,White,Male,2174,0,40,United-States,<=50K +35,Private,339772,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +21,Private,185582,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,43,United-States,<=50K +26,Private,260614,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +19,Local-gov,53220,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +43,Private,213844,HS-grad,9,Married-AF-spouse,Craft-repair,Wife,Black,Female,0,0,42,United-States,>50K +33,Private,213226,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +30,Private,58582,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,10,United-States,<=50K +52,Private,193116,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +38,Local-gov,201410,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +28,Private,190525,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,46,United-States,>50K +57,Self-emp-not-inc,138285,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Iran,<=50K +51,Private,111939,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +50,Private,109277,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +32,Private,331539,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,China,>50K +32,Private,396745,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,48,United-States,>50K +37,Private,126675,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +69,Self-emp-not-inc,349022,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,33,United-States,<=50K +33,?,98145,Some-college,10,Divorced,?,Unmarried,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K +37,Private,234901,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Germany,>50K +36,Private,100681,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,2463,0,40,United-States,<=50K +47,Self-emp-not-inc,265097,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +63,Private,237379,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,44793,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,65,United-States,<=50K +17,Private,270942,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,35,Mexico,<=50K +56,Private,193622,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +90,Local-gov,187749,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,20,Philippines,<=50K +27,Private,160178,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +38,Private,680390,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +33,Private,96245,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +26,Private,34803,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,170091,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +42,Private,231813,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,23789,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,State-gov,438711,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,<=50K +66,Private,169804,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,20051,0,40,United-States,>50K +66,Local-gov,376506,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,3273,0,40,United-States,<=50K +49,Private,28791,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,162814,HS-grad,9,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,45,United-States,<=50K +38,Private,58108,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +40,Self-emp-inc,102226,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +22,Federal-gov,209131,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +46,Self-emp-not-inc,157117,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,172865,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +19,Private,29798,12th,8,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,20,United-States,<=50K +71,?,229424,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Local-gov,80680,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,1151,0,35,United-States,<=50K +52,Local-gov,238959,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,32,United-States,>50K +27,Private,189462,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,46,United-States,<=50K +52,Private,139347,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,40,United-States,<=50K +31,Private,188108,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,4101,0,40,United-States,<=50K +37,Self-emp-inc,111128,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +28,Private,81540,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,257562,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +31,Private,59496,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +29,Private,29974,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,102597,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +69,Private,41419,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +50,Private,118565,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +54,State-gov,312897,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,46,England,>50K +17,Private,166290,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +34,Private,160261,HS-grad,9,Never-married,Tech-support,Own-child,Asian-Pac-Islander,Male,14084,0,35,China,>50K +32,Self-emp-not-inc,116834,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,5,?,<=50K +23,Private,203076,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +66,Private,201197,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +61,Private,273803,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,156797,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,283896,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,149368,HS-grad,9,Divorced,Sales,Unmarried,White,Male,1151,0,30,United-States,<=50K +49,Private,156926,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K +21,?,163911,Some-college,10,Never-married,?,Own-child,White,Female,0,0,3,United-States,<=50K +56,Self-emp-inc,165881,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +25,Private,86872,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,167523,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Private,154950,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +40,Federal-gov,171231,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K +62,Private,244933,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +54,Private,256908,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,25,United-States,>50K +34,Self-emp-not-inc,33442,Assoc-voc,11,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +18,Private,126142,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K +28,?,268222,11th,7,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +32,Private,167106,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,Hong,<=50K +22,Local-gov,50065,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +34,State-gov,252529,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,<=50K +53,?,199665,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K +47,Private,343579,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +19,Private,190817,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +41,Self-emp-inc,151089,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,55,United-States,>50K +46,Private,186820,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,5013,0,40,United-States,<=50K +56,Self-emp-not-inc,210731,7th-8th,4,Divorced,Sales,Other-relative,White,Male,0,0,20,Mexico,<=50K +42,Private,123816,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +25,Private,77071,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,2339,35,United-States,<=50K +42,Private,115085,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +43,Private,170525,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,14344,0,40,United-States,>50K +17,Private,209949,11th,7,Never-married,Sales,Own-child,White,Female,0,1602,12,United-States,<=50K +57,Self-emp-not-inc,34297,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +40,Private,180985,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +62,Local-gov,33365,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,40,Canada,<=50K +20,Private,197752,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,16,United-States,<=50K +47,Private,180551,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,77975,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,159297,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,40,?,>50K +48,Private,94342,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +39,Self-emp-inc,34180,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +46,Local-gov,367251,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +72,Self-emp-inc,172407,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K +53,Private,303462,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,United-States,<=50K +47,Federal-gov,220269,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +40,Self-emp-not-inc,45093,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,Canada,<=50K +34,Private,101709,HS-grad,9,Separated,Transport-moving,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +41,Private,219591,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,76625,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,342599,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +42,Self-emp-inc,125846,1st-4th,2,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,?,<=50K +54,Local-gov,238257,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +39,Self-emp-inc,206253,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +37,Private,172571,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,Private,95165,Doctorate,16,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +69,Private,141181,5th-6th,3,Married-civ-spouse,Adm-clerical,Husband,White,Male,1797,0,40,United-States,<=50K +24,Private,267843,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,35,United-States,<=50K +36,Private,181382,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,40,United-States,>50K +21,?,207782,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +68,?,103161,HS-grad,9,Widowed,?,Not-in-family,White,Male,0,0,32,United-States,<=50K +20,Private,132320,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Self-emp-not-inc,201138,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +48,Private,239058,12th,8,Widowed,Handlers-cleaners,Unmarried,White,Female,0,0,50,United-States,<=50K +39,Self-emp-inc,239755,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K +21,Private,176262,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,18,United-States,<=50K +22,Private,264738,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Female,0,0,42,Germany,<=50K +34,Private,182218,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,318982,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +46,Private,216666,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Guatemala,<=50K +47,Private,274200,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +65,Private,150095,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +23,Private,192978,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,68021,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +34,Self-emp-not-inc,28568,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K +20,Private,115057,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,139568,11th,7,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Self-emp-inc,138497,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +40,State-gov,182460,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,38,China,>50K +22,Private,253310,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,7,United-States,<=50K +29,Self-emp-inc,130856,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +31,Self-emp-not-inc,389765,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +42,Federal-gov,52781,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +38,Private,146178,HS-grad,9,Never-married,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K +22,Private,231053,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,70,United-States,>50K +21,?,145964,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,483450,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Mexico,<=50K +43,Self-emp-inc,198316,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +33,Private,160614,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +17,Self-emp-inc,325171,10th,6,Never-married,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K +54,Self-emp-not-inc,172898,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,50,United-States,>50K +45,Private,186473,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +55,Local-gov,286967,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +51,Self-emp-not-inc,111939,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,>50K +65,Federal-gov,325089,10th,6,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +21,Private,143582,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,45,United-States,<=50K +40,Private,308027,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +58,Private,105060,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K +53,Federal-gov,39643,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,58,United-States,<=50K +39,Private,186191,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,50,United-States,>50K +56,Local-gov,267763,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,124293,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +44,Private,36271,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,143459,9th,5,Separated,Handlers-cleaners,Own-child,White,Male,0,0,38,United-States,<=50K +36,Private,186376,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K +59,Self-emp-inc,52822,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +33,Private,104509,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,184456,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Male,27828,0,50,United-States,>50K +26,Private,192302,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,<=50K +22,Private,156822,10th,6,Never-married,Sales,Not-in-family,White,Female,0,1762,25,United-States,<=50K +25,Private,214413,Masters,14,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,108574,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,15,United-States,<=50K +41,Private,223934,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +45,Private,200559,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +43,Private,137722,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,261677,9th,5,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,40,United-States,<=50K +33,Private,136331,HS-grad,9,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K +34,Private,329993,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,91819,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +31,Private,201122,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,45,United-States,>50K +48,Private,315423,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,103277,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +47,Private,236805,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,60,United-States,<=50K +27,Private,74883,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +18,Private,115443,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,25,United-States,<=50K +43,Private,150528,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +36,Private,43701,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +37,Federal-gov,419053,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,183594,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +24,Private,390348,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,36989,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,3908,0,70,United-States,<=50K +48,Private,247895,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +75,Private,191446,1st-4th,2,Married-civ-spouse,Other-service,Other-relative,Black,Female,0,0,16,United-States,<=50K +43,Self-emp-not-inc,33521,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,>50K +64,Private,46087,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +67,?,129188,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,20051,0,5,United-States,>50K +36,Private,356824,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Private,158746,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,153323,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,20,United-States,<=50K +73,Self-emp-not-inc,130391,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,36,United-States,<=50K +46,Private,173613,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,362883,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K +43,Private,182757,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +20,Private,50397,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K +43,Federal-gov,101709,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +21,Private,202570,12th,8,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,48,?,<=50K +40,Private,145649,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,25,United-States,<=50K +36,Private,136343,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +64,Self-emp-inc,142166,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +19,?,242001,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +46,Private,127089,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,38,United-States,>50K +46,Local-gov,124071,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,65,United-States,>50K +41,Local-gov,190368,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,70,United-States,<=50K +29,?,19793,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,8,United-States,<=50K +28,Private,67661,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +23,Private,62278,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +30,Federal-gov,295010,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,0,0,60,United-States,>50K +44,Private,203897,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,40,Cuba,<=50K +27,Private,265314,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +25,Private,159603,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,34,United-States,<=50K +29,Private,134331,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,123011,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Poland,>50K +27,Private,274964,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,65,United-States,<=50K +34,Private,66309,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +38,Private,73471,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +24,?,26671,HS-grad,9,Never-married,?,Other-relative,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +56,Private,357118,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +35,Self-emp-inc,184655,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,62,United-States,<=50K +23,?,55492,Assoc-voc,11,Never-married,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,30,United-States,<=50K +23,Private,175266,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,188008,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K +42,Private,87284,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,35,United-States,>50K +46,Private,330087,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K +48,Self-emp-inc,56975,HS-grad,9,Divorced,Sales,Unmarried,Asian-Pac-Islander,Female,0,0,84,?,<=50K +27,Private,150025,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K +22,?,189203,Assoc-acdm,12,Never-married,?,Other-relative,White,Male,0,0,15,United-States,<=50K +49,Self-emp-inc,330874,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K +23,Private,136824,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +24,Private,201179,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,324654,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,40,China,<=50K +25,Federal-gov,366207,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,103860,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +22,Private,106700,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,27,United-States,<=50K +54,Local-gov,163557,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +39,Self-emp-inc,286261,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,123083,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +75,Self-emp-inc,125197,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,26,United-States,<=50K +28,Self-emp-not-inc,278073,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Male,0,0,30,United-States,<=50K +50,Private,133963,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +62,Self-emp-not-inc,71467,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +40,Private,76487,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +58,Local-gov,215245,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,37,United-States,<=50K +24,Federal-gov,127185,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +21,Private,179720,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,30,United-States,<=50K +40,Private,88909,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +45,Private,341995,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,42,United-States,>50K +48,Private,173938,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +34,Private,344275,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K +23,Private,150463,HS-grad,9,Never-married,Priv-house-serv,Unmarried,Other,Female,0,0,40,Guatemala,<=50K +43,Local-gov,209544,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,10520,0,50,United-States,>50K +42,Local-gov,201723,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Self-emp-not-inc,343476,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,Japan,>50K +52,Self-emp-inc,77392,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +21,?,171156,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +56,Self-emp-not-inc,357118,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +48,Federal-gov,167749,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +37,Self-emp-not-inc,352882,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,70,South,>50K +25,Private,51201,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +40,Private,365986,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,>50K +34,Private,400416,11th,7,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,45,United-States,<=50K +52,Private,31533,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,106900,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,1902,42,United-States,>50K +36,Local-gov,192337,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,118712,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,1504,40,United-States,<=50K +28,Private,301654,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Self-emp-not-inc,145162,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,?,>50K +20,Private,88126,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,9,England,<=50K +68,Private,165017,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Italy,>50K +35,Private,238342,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,857532,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K +64,Private,134378,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +17,Private,260797,10th,6,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,23,United-States,<=50K +25,Private,138765,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K +74,?,256674,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,25,United-States,<=50K +31,Private,247444,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Columbia,<=50K +51,State-gov,454063,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +67,Private,180539,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,10,United-States,<=50K +42,Private,397346,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K +29,Private,107160,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,262024,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +21,Private,131230,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,37,United-States,<=50K +67,Private,274451,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,16,United-States,<=50K +41,State-gov,365986,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K +27,Private,204515,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,36,United-States,<=50K +51,Private,99316,12th,8,Divorced,Transport-moving,Unmarried,White,Male,0,0,50,United-States,<=50K +21,?,206681,11th,7,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +28,Private,268726,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K +21,Private,275395,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,383322,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +29,Private,126822,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K +39,Self-emp-inc,168355,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +21,Private,162667,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,Columbia,<=50K +43,Private,373403,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,274562,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,14344,0,40,United-States,>50K +28,Private,249362,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +31,Private,111567,9th,5,Never-married,Sales,Not-in-family,White,Male,0,0,43,United-States,>50K +18,?,216508,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +27,Private,145784,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Amer-Indian-Eskimo,Female,0,0,45,United-States,<=50K +34,State-gov,209317,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,259505,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,345360,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,England,<=50K +43,Local-gov,198096,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +40,Self-emp-inc,33126,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +21,Private,206354,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K +25,Private,1484705,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,25,United-States,<=50K +21,Private,26410,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Self-emp-not-inc,220901,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K +49,Self-emp-inc,44671,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +20,Private,38620,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +36,Private,89040,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,47,United-States,<=50K +32,Private,370160,Some-college,10,Separated,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,208946,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,32,United-States,<=50K +21,Private,131230,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,10,United-States,<=50K +25,Private,60358,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,350853,5th-6th,3,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,?,<=50K +24,Private,209782,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,351952,Some-college,10,Never-married,Prof-specialty,Unmarried,White,Female,0,0,20,United-States,<=50K +26,Private,142081,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Mexico,<=50K +22,Private,164775,9th,5,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,Guatemala,<=50K +41,Local-gov,47858,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +18,Private,404085,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +24,Private,218678,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,184655,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,48,United-States,<=50K +36,Private,321760,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,17,United-States,<=50K +45,Local-gov,185399,Masters,14,Divorced,Prof-specialty,Own-child,White,Female,0,0,55,United-States,<=50K +38,Local-gov,409200,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +38,Private,40077,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +34,Self-emp-not-inc,31740,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Local-gov,233722,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +32,Private,192039,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +17,Private,222618,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,30,United-States,<=50K +45,State-gov,213646,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +31,Local-gov,194141,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,<=50K +47,State-gov,80282,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +27,Private,166350,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +61,Federal-gov,60641,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K +33,Private,124827,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +67,Private,105438,HS-grad,9,Separated,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K +38,Private,85244,Bachelors,13,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,120535,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Local-gov,269604,5th-6th,3,Never-married,Other-service,Unmarried,Other,Female,0,0,40,El-Salvador,<=50K +27,Private,247711,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +45,Private,380922,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +24,Private,281221,Bachelors,13,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,40,Taiwan,<=50K +23,Private,269687,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,181758,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +61,Federal-gov,136787,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +22,Private,107882,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K +34,Private,172579,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,29933,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,40,United-States,>50K +35,Federal-gov,38905,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +36,Private,168826,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,424034,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +60,Private,117509,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,?,196971,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,43,United-States,<=50K +64,Private,69525,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,20,United-States,<=50K +22,Private,374116,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +27,Private,283913,5th-6th,3,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,65,England,<=50K +36,State-gov,147258,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +27,Private,139903,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,30,United-States,<=50K +52,Private,112959,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,Self-emp-not-inc,264148,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +23,Private,256211,Some-college,10,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,24,Vietnam,<=50K +29,Self-emp-not-inc,142519,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,281852,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,80,United-States,<=50K +38,Private,380543,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K +50,Self-emp-not-inc,204402,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,>50K +50,Private,192203,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,199005,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +17,Self-emp-inc,61838,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,210095,11th,7,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Female,0,0,40,Mexico,<=50K +19,Private,187352,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,32451,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,140569,Some-college,10,Separated,Sales,Not-in-family,White,Male,14084,0,60,United-States,>50K +39,Private,87556,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,6849,0,40,United-States,<=50K +18,Private,79443,9th,5,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Mexico,<=50K +27,Private,212622,Masters,14,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +39,Private,32650,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K +44,Private,125461,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +19,Private,219867,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,<=50K +32,Local-gov,206609,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +48,Private,101299,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +46,Private,29437,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +65,Private,87164,11th,7,Widowed,Sales,Other-relative,White,Female,0,0,20,United-States,<=50K +57,Self-emp-inc,146103,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +48,Private,169324,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,32,Haiti,<=50K +46,Private,138370,7th-8th,4,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,1651,40,China,<=50K +27,Private,29523,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +29,Local-gov,383745,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1485,40,United-States,>50K +21,?,247075,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,25,United-States,<=50K +20,?,200967,Some-college,10,Never-married,?,Own-child,White,Female,0,0,12,United-States,<=50K +51,?,175985,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +35,Self-emp-inc,189404,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1740,40,United-States,<=50K +29,Self-emp-not-inc,267661,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +30,Local-gov,182926,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,15024,0,40,United-States,>50K +65,Private,243858,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K +20,?,43587,HS-grad,9,Married-spouse-absent,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +47,Federal-gov,31339,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,204682,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,2174,0,40,Japan,<=50K +17,Private,73145,9th,5,Never-married,Craft-repair,Own-child,White,Female,0,0,16,United-States,<=50K +38,Local-gov,218184,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K +38,Local-gov,223237,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +39,Self-emp-not-inc,93319,HS-grad,9,Never-married,Sales,Other-relative,White,Female,0,0,4,United-States,<=50K +24,?,212300,HS-grad,9,Separated,?,Not-in-family,White,Female,0,0,38,United-States,<=50K +52,Private,187356,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,41,United-States,<=50K +46,Self-emp-not-inc,220832,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,58,United-States,>50K +22,Private,211361,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K +56,Private,134195,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +37,Self-emp-not-inc,218249,11th,7,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,30,United-States,<=50K +59,Private,70720,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,55,United-States,>50K +19,Self-emp-not-inc,342384,11th,7,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,2129,55,United-States,<=50K +31,Private,237317,9th,5,Never-married,Craft-repair,Not-in-family,Other,Male,0,0,45,United-States,<=50K +22,Private,359759,Some-college,10,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,20,Philippines,<=50K +48,Self-emp-not-inc,181758,Doctorate,16,Never-married,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,>50K +63,Self-emp-inc,267101,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +33,Private,222221,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,45,United-States,>50K +53,Private,55139,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,10,United-States,<=50K +38,Private,220237,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,>50K +39,Private,101073,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,24,United-States,<=50K +59,Private,69884,Prof-school,15,Married-spouse-absent,Prof-specialty,Unmarried,White,Male,0,0,50,United-States,<=50K +45,Private,201127,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,164733,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +60,State-gov,129447,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +38,Private,32837,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,56,United-States,<=50K +31,Private,200117,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +61,Self-emp-not-inc,219183,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +66,?,188842,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K +26,Private,272669,Bachelors,13,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,20,South,<=50K +60,Self-emp-inc,336188,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,80,United-States,>50K +68,?,191288,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,0,15,United-States,<=50K +32,Private,176185,Some-college,10,Divorced,Exec-managerial,Other-relative,White,Male,0,0,60,United-States,<=50K +25,Local-gov,197728,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,20,United-States,<=50K +43,Local-gov,144778,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,<=50K +26,?,133373,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,44,United-States,<=50K +55,Private,197399,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,55,United-States,>50K +66,Private,86010,10th,6,Widowed,Transport-moving,Not-in-family,White,Female,0,0,11,United-States,<=50K +31,Private,228873,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,187415,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,50,?,<=50K +58,Self-emp-inc,112945,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,27828,0,40,United-States,>50K +56,Private,98361,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +22,Private,129172,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +46,Local-gov,316205,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +33,Private,226629,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K +26,State-gov,180886,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +42,Self-emp-not-inc,69333,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +45,Private,213620,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +43,Private,197397,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,Other,Female,0,0,6,Puerto-Rico,<=50K +19,Private,223648,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,?,<=50K +27,Private,179915,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,99,United-States,<=50K +51,Private,339905,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K +42,Private,112956,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,421837,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,50,Mexico,>50K +38,Private,187999,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +44,Private,77313,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,231948,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,64,United-States,>50K +37,Private,37109,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,60,Philippines,<=50K +29,Private,79387,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +53,?,133963,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Self-emp-not-inc,177937,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,45,Poland,<=50K +80,Private,173488,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +61,Private,183355,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,147989,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,52,United-States,<=50K +20,Private,289944,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +23,Private,62278,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +48,Federal-gov,110457,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +24,Private,295763,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,50,United-States,<=50K +71,State-gov,100063,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +49,Private,194962,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,6,United-States,<=50K +39,Federal-gov,227597,HS-grad,9,Never-married,Armed-Forces,Not-in-family,White,Male,0,0,50,United-States,<=50K +22,Private,117606,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +67,Federal-gov,44774,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,177648,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +38,Private,172571,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,54,United-States,>50K +38,?,203482,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,<=50K +50,Private,153931,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Self-emp-not-inc,84774,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,40,United-States,<=50K +23,Private,157127,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +26,Private,170786,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,281030,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,203761,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,10520,0,40,United-States,>50K +27,Private,167405,HS-grad,9,Married-spouse-absent,Farming-fishing,Own-child,White,Female,0,0,40,Mexico,<=50K +40,Local-gov,188436,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,40,United-States,>50K +43,Private,388849,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K +31,State-gov,176998,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K +57,Private,200316,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +25,Private,160300,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K +22,Private,236684,Assoc-voc,11,Never-married,Other-service,Own-child,Black,Female,0,0,36,United-States,<=50K +20,Local-gov,247794,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +27,Private,267325,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,3464,0,40,United-States,<=50K +39,Private,279490,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,Mexico,<=50K +27,State-gov,280618,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Local-gov,248406,HS-grad,9,Separated,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +31,Local-gov,226494,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +41,Private,220460,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K +25,Private,108317,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,State-gov,147256,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,>50K +22,Private,110371,HS-grad,9,Married-civ-spouse,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K +62,Private,114060,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,91,United-States,<=50K +29,Federal-gov,31161,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Other,Female,0,0,40,United-States,<=50K +44,Private,105862,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,70,United-States,>50K +32,Private,402089,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,2,United-States,<=50K +19,?,425447,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +20,Private,137300,Assoc-voc,11,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +65,State-gov,326691,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K +24,Private,275093,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,36,United-States,<=50K +37,Self-emp-not-inc,112497,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +43,Local-gov,174491,HS-grad,9,Divorced,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K +38,Self-emp-not-inc,114835,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,60,United-States,>50K +28,Private,137898,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +33,Private,153151,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,4416,0,40,United-States,<=50K +32,Private,134886,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +38,Private,193815,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +33,Private,237833,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Self-emp-not-inc,101593,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +27,Private,164924,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,174201,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +47,Local-gov,36169,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +55,Private,144071,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +30,Self-emp-not-inc,180859,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,8,United-States,<=50K +54,Private,221915,Some-college,10,Widowed,Craft-repair,Unmarried,White,Female,0,0,50,United-States,<=50K +40,Private,26892,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +21,Private,351084,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,97306,Bachelors,13,Divorced,Craft-repair,Unmarried,White,Female,0,0,25,United-States,<=50K +30,Private,185027,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +31,Private,182539,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +22,Private,215395,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,37,United-States,<=50K +37,Private,186434,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,>50K +41,?,217921,9th,5,Married-civ-spouse,?,Wife,Asian-Pac-Islander,Female,0,0,40,Hong,<=50K +52,Local-gov,346668,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +57,Self-emp-inc,412952,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,167009,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,48,United-States,<=50K +58,Private,316000,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +35,Self-emp-not-inc,216256,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,341835,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +30,Private,169841,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +26,Self-emp-not-inc,200681,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Outlying-US(Guam-USVI-etc),<=50K +46,Self-emp-not-inc,456956,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +26,Federal-gov,276075,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +50,Federal-gov,96657,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +22,Private,374313,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +36,Private,110998,Masters,14,Widowed,Tech-support,Unmarried,Asian-Pac-Islander,Female,0,0,40,India,<=50K +30,Private,53285,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K +58,Private,104613,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +17,?,303317,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +72,Private,298070,Assoc-voc,11,Separated,Other-service,Unmarried,White,Female,6723,0,25,United-States,<=50K +19,Private,318822,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,375078,7th-8th,4,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Mexico,<=50K +20,?,232799,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,25,United-States,<=50K +30,Private,210851,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,213745,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K +51,Private,204447,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +26,Private,318934,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,237386,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K +44,Private,182629,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,24,Iran,<=50K +43,Private,144778,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +35,Private,117166,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +51,Private,237630,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,50,United-States,>50K +41,Private,171550,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,Private,165302,Some-college,10,Divorced,Adm-clerical,Unmarried,Other,Female,0,0,40,United-States,<=50K +39,State-gov,42186,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,3464,0,20,United-States,<=50K +54,Private,284952,10th,6,Separated,Sales,Unmarried,White,Female,0,0,43,Italy,<=50K +62,Private,96099,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,198759,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +30,Private,227886,HS-grad,9,Never-married,Exec-managerial,Own-child,Black,Female,0,0,35,Jamaica,<=50K +32,Private,391874,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Self-emp-not-inc,184370,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +84,Local-gov,135839,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,14,United-States,<=50K +46,Private,194698,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,60,United-States,<=50K +67,Local-gov,342175,Masters,14,Divorced,Adm-clerical,Not-in-family,White,Female,2009,0,40,United-States,<=50K +29,Private,67218,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +33,Private,205152,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K +23,Private,434467,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,42,United-States,<=50K +63,?,110150,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,55,United-States,>50K +55,?,123382,HS-grad,9,Separated,?,Not-in-family,Black,Female,0,2001,40,United-States,<=50K +42,State-gov,404573,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +17,Private,99462,11th,7,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K +60,Private,170310,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,199883,12th,8,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,70034,7th-8th,4,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,Portugal,<=50K +31,Private,393357,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,48,United-States,<=50K +65,?,249043,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,10605,0,40,United-States,>50K +31,Private,72630,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,14084,0,50,United-States,>50K +61,Private,223133,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,Black,Female,0,0,40,United-States,<=50K +43,State-gov,345969,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +40,State-gov,195520,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,49,United-States,<=50K +39,Private,257942,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Local-gov,269300,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,27,United-States,<=50K +47,Private,137354,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +45,Federal-gov,232997,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,>50K +30,Private,77266,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +30,Self-emp-not-inc,164190,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +49,Private,153536,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,14084,0,44,United-States,>50K +51,Local-gov,26832,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +31,Private,188096,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,72,United-States,>50K +48,Self-emp-inc,369522,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,>50K +20,Private,110998,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,30,United-States,<=50K +32,Private,205152,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,40,United-States,>50K +31,?,163890,Some-college,10,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +19,Private,358631,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,25,United-States,<=50K +50,Private,185354,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +33,Private,336061,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +25,?,47011,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +49,Private,149949,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,1876,40,United-States,<=50K +30,Private,59496,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,32950,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,109912,Doctorate,16,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,32,United-States,>50K +24,Private,199555,Assoc-voc,11,Never-married,Sales,Unmarried,White,Male,0,0,5,United-States,<=50K +28,Private,91299,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,45,United-States,<=50K +56,Private,99359,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,1617,40,United-States,<=50K +38,Private,242559,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +20,Private,286391,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,2176,0,20,United-States,<=50K +82,Private,132870,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,4356,18,United-States,<=50K +52,Federal-gov,22428,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K +32,Private,239150,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +37,Private,170563,Assoc-voc,11,Separated,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K +36,Private,173542,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +39,Private,286026,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +30,Private,72887,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,Asian-Pac-Islander,Male,3411,0,40,United-States,<=50K +49,Local-gov,163229,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,<=50K +40,Local-gov,165726,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,70055,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +35,Private,184655,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,139906,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,81,United-States,<=50K +32,Local-gov,198211,Assoc-voc,11,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,146540,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +53,Local-gov,132304,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,190916,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,Never-worked,237272,10th,6,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +44,Private,755858,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,>50K +52,Private,127315,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +42,State-gov,304302,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +34,Private,184942,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +27,Private,267989,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,188377,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +39,State-gov,221059,Masters,14,Married-civ-spouse,Prof-specialty,Other-relative,Other,Female,7688,0,38,United-States,>50K +26,Private,340787,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,140782,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,38,United-States,>50K +57,Private,169071,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,28,United-States,<=50K +36,Self-emp-not-inc,151094,Assoc-voc,11,Separated,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,<=50K +27,Private,122922,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,151141,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K +30,Private,136651,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +37,Private,177285,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,48,United-States,>50K +31,Local-gov,128016,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +23,Private,200318,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +32,Private,250354,10th,6,Never-married,Craft-repair,Other-relative,White,Male,0,0,45,United-States,<=50K +58,Private,191069,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +31,Private,27856,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,8,United-States,<=50K +44,Private,523484,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +39,Federal-gov,257175,Bachelors,13,Divorced,Tech-support,Unmarried,Black,Female,0,625,40,United-States,<=50K +59,Private,174864,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,45,United-States,>50K +42,Private,196029,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,>50K +45,Private,200471,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K +20,Private,353195,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +35,Private,222868,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,221791,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,<=50K +56,Private,197114,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,28,United-States,<=50K +48,Private,160220,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +58,Self-emp-not-inc,274917,Masters,14,Widowed,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K +32,Private,348460,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,112683,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K +48,Private,345831,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,105370,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,70,United-States,<=50K +48,Private,345006,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Mexico,<=50K +55,Private,195329,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,2202,0,35,Italy,<=50K +40,Local-gov,108765,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +50,Private,138022,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +52,Self-emp-not-inc,175029,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +19,Private,189574,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +55,Self-emp-not-inc,141409,10th,6,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K +36,Self-emp-not-inc,186035,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K +39,Private,165235,Bachelors,13,Separated,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K +22,Private,105043,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,230684,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +34,Private,345705,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,1408,38,United-States,<=50K +33,Private,248584,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +55,Private,436861,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,14084,0,40,United-States,>50K +35,Private,200153,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +50,Private,398625,11th,7,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,114043,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +29,Private,169544,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Private,343849,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +33,Private,162572,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K +24,Private,291578,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +46,Private,136162,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +60,Self-emp-inc,376133,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,15024,0,15,United-States,>50K +48,Self-emp-inc,302612,Masters,14,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +65,Local-gov,240166,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K +29,Private,193152,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,1408,40,United-States,<=50K +42,Private,248094,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1740,43,United-States,<=50K +44,Private,119281,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +73,Self-emp-not-inc,300404,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,6,United-States,>50K +21,Private,82847,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,50,United-States,<=50K +32,Self-emp-inc,161153,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1902,55,United-States,>50K +43,Federal-gov,287008,Masters,14,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,35,United-States,>50K +21,Private,654141,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,32,United-States,<=50K +30,Private,252646,Some-college,10,Separated,Transport-moving,Not-in-family,White,Male,0,0,20,United-States,<=50K +54,Private,171924,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,<=50K +19,Private,219742,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +55,State-gov,153788,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,37,United-States,<=50K +20,Private,60639,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,28,United-States,<=50K +53,Private,96062,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Greece,<=50K +51,Private,165614,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K +33,Private,159888,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,110586,Some-college,10,Widowed,Priv-house-serv,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Self-emp-not-inc,143062,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +17,Self-emp-inc,413557,9th,5,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +26,Private,137658,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +36,Private,398931,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,311764,10th,6,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,United-States,<=50K +58,Private,98725,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +38,Private,140854,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +72,Private,97304,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Male,2346,0,40,?,<=50K +26,Federal-gov,352768,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +45,?,27184,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,38,United-States,<=50K +72,?,237229,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +60,Private,142494,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +27,Private,210313,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Guatemala,<=50K +38,Private,194538,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K +37,Self-emp-inc,26698,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1485,44,United-States,>50K +28,Private,211032,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +38,Self-emp-inc,107909,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +29,Private,136077,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +19,Private,184737,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,1721,40,United-States,<=50K +28,Private,214689,Bachelors,13,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,25,United-States,<=50K +70,?,147558,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,7,United-States,<=50K +40,Self-emp-not-inc,93793,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +26,Private,247025,Assoc-voc,11,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,284403,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,<=50K +29,Private,221977,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +25,Federal-gov,339956,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K +29,Private,161097,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K +60,Private,223696,1st-4th,2,Divorced,Craft-repair,Not-in-family,Other,Male,0,0,38,Dominican-Republic,<=50K +31,Private,234500,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +51,Local-gov,97005,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,242615,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +36,Private,174938,Bachelors,13,Divorced,Tech-support,Unmarried,White,Male,0,0,20,United-States,<=50K +35,Private,160120,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +48,Private,193775,Bachelors,13,Divorced,Adm-clerical,Own-child,White,Male,0,0,38,United-States,>50K +78,Self-emp-not-inc,59583,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K +72,Private,157913,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,17,United-States,<=50K +24,Private,308205,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +58,?,158506,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K +36,Private,201769,11th,7,Never-married,Protective-serv,Not-in-family,Black,Male,13550,0,40,United-States,>50K +48,Private,330470,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,United-States,<=50K +28,Private,184078,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,123384,Masters,14,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,330132,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K +47,Private,274720,5th-6th,3,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,Jamaica,<=50K +50,Private,129673,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +35,Federal-gov,205584,5th-6th,3,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +17,Private,327127,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K +41,Private,225892,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +37,Private,224886,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,42,United-States,<=50K +35,Local-gov,27763,HS-grad,9,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +56,Private,73684,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K +23,Private,107452,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,23871,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K +79,Self-emp-inc,309272,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +28,Private,469864,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +55,Private,286230,11th,7,Divorced,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +59,State-gov,186308,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +22,Private,113062,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +19,Private,86150,11th,7,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,19,Philippines,<=50K +41,Private,262038,5th-6th,3,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,35,Mexico,<=50K +32,Private,279231,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Italy,<=50K +67,?,188903,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,2414,0,40,United-States,<=50K +45,Private,183786,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +61,Private,339358,5th-6th,3,Married-civ-spouse,Farming-fishing,Other-relative,White,Female,0,0,45,Mexico,<=50K +34,Private,287737,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Self-emp-not-inc,99203,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,297449,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,50,United-States,>50K +35,Private,113481,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +65,Private,204042,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,20,United-States,<=50K +24,Private,43387,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,England,>50K +37,Private,99233,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +34,Self-emp-not-inc,313729,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +42,Private,99679,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +18,Private,169745,7th-8th,4,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +43,Federal-gov,19914,Some-college,10,Widowed,Exec-managerial,Unmarried,Amer-Indian-Eskimo,Female,0,0,15,United-States,<=50K +31,Private,113543,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +19,Private,224241,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +40,Self-emp-inc,137367,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,China,<=50K +32,Private,263908,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,280798,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +32,Local-gov,203849,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +46,Self-emp-inc,62546,Doctorate,16,Separated,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +40,Private,197344,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +36,Private,93225,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +33,Private,187560,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,36,United-States,<=50K +23,State-gov,61743,5th-6th,3,Never-married,Transport-moving,Not-in-family,White,Male,0,0,35,United-States,<=50K +21,Private,186648,10th,6,Separated,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,173321,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,32,United-States,<=50K +53,State-gov,246820,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +20,?,424034,Some-college,10,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K +53,Self-emp-not-inc,291755,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,72,United-States,<=50K +58,Private,104945,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,60,United-States,<=50K +51,Private,85423,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +31,Private,214235,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,65,United-States,<=50K +35,Self-emp-not-inc,278632,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,?,27415,11th,7,Never-married,?,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +31,Local-gov,143392,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +21,Private,277408,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +39,Self-emp-not-inc,336793,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +36,Private,184112,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,45,United-States,>50K +51,Private,74660,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +18,Private,395026,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K +32,Private,171215,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,<=50K +56,Private,121362,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K +35,Private,409200,Assoc-acdm,12,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +63,Private,268965,12th,8,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +61,Private,136262,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +23,Private,141323,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +52,Local-gov,108083,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +19,Private,82210,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +33,State-gov,400943,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +35,Private,308489,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,50,United-States,<=50K +35,Private,187053,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Female,0,0,60,United-States,>50K +38,Private,75826,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +23,Private,413345,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +22,Private,356567,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Male,0,0,60,United-States,<=50K +20,Private,223811,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,159313,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,250170,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K +59,Private,135617,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,187346,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,108103,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +27,Private,255476,5th-6th,3,Never-married,Other-service,Other-relative,White,Male,0,0,40,Mexico,<=50K +24,Private,68577,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,155961,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,35,Jamaica,<=50K +22,State-gov,264102,Some-college,10,Never-married,Other-service,Other-relative,Black,Male,0,0,39,Haiti,<=50K +37,Private,167777,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,52,United-States,<=50K +36,Private,225399,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +28,Private,199998,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +55,Private,199856,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K +29,?,189765,5th-6th,3,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +32,Private,193042,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K +66,?,222810,Some-college,10,Divorced,?,Other-relative,White,Female,0,0,35,United-States,<=50K +47,Local-gov,162595,Some-college,10,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,45,United-States,<=50K +23,Private,208826,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Local-gov,120190,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +40,Self-emp-not-inc,27242,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K +51,Private,348099,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,1590,40,United-States,<=50K +34,Private,185041,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,1669,45,United-States,<=50K +28,Private,309196,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,State-gov,254285,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,70,Germany,>50K +39,Self-emp-inc,336226,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,60,United-States,>50K +43,Private,240698,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +36,Private,411797,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,>50K +25,Private,178843,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K +42,Private,136177,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +35,Private,243409,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Germany,<=50K +43,Private,258049,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,53,United-States,>50K +34,Private,164748,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,State-gov,24185,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K +30,Private,167476,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +44,Private,106900,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K +52,Private,53497,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,335704,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +36,Private,211022,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +30,Private,163003,Bachelors,13,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Female,0,0,52,Taiwan,<=50K +36,Self-emp-inc,77146,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K +39,Private,67433,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,458549,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,96,Mexico,<=50K +26,Private,190469,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,195411,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K +20,Private,216889,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +70,?,336007,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +26,Private,167350,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,50,United-States,<=50K +24,Private,241857,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,35,United-States,<=50K +48,Private,125892,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +62,Private,272209,HS-grad,9,Divorced,Priv-house-serv,Unmarried,Black,Female,0,0,99,United-States,<=50K +48,Private,175221,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,180195,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +25,Private,38090,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,44,United-States,<=50K +58,Private,310085,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +40,Federal-gov,118686,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +29,?,112963,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +45,Self-emp-inc,120131,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,?,<=50K +19,Private,43937,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,20,United-States,<=50K +37,Private,210438,11th,7,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +23,Private,176724,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +31,Self-emp-not-inc,113364,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +64,Self-emp-not-inc,73986,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +28,Local-gov,197932,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K +32,Private,193285,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +49,Local-gov,223342,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,44,United-States,<=50K +35,Private,49749,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K +19,?,211553,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +45,Private,201865,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +39,Private,322143,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,70,United-States,>50K +55,Private,158702,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,2339,45,?,<=50K +46,Self-emp-not-inc,275625,Bachelors,13,Divorced,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,60,South,>50K +19,Private,206599,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K +29,Private,89813,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Scotland,<=50K +25,State-gov,156848,HS-grad,9,Married-civ-spouse,Protective-serv,Own-child,White,Male,0,0,35,United-States,<=50K +37,Private,162494,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,205407,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +28,Private,375313,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +36,Federal-gov,930948,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,6497,0,56,United-States,<=50K +32,Private,127895,Some-college,10,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,35,United-States,<=50K +34,Private,248754,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,188096,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,36,United-States,<=50K +20,Private,216811,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +27,Self-emp-inc,113870,Masters,14,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +36,Federal-gov,343052,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +35,Private,280966,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,42044,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K +32,Private,309513,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,163604,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +52,Private,224198,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K +50,Private,338283,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +23,Private,242375,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +25,Private,81286,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +21,Private,243368,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,Mexico,<=50K +31,Private,217803,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K +31,Self-emp-not-inc,323020,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K +41,Private,34278,Assoc-voc,11,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,184579,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,<=50K +20,?,210781,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K +20,Private,142673,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +29,Private,131714,10th,6,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,25,United-States,<=50K +51,Local-gov,74784,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Local-gov,181372,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,33,United-States,>50K +23,?,62507,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,12,United-States,<=50K +48,Private,155664,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,>50K +39,Private,174924,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Male,14344,0,40,United-States,>50K +62,Private,113440,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +22,Private,147227,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +46,Federal-gov,207022,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +51,Local-gov,123011,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,35,United-States,>50K +20,Private,184678,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K +40,Self-emp-inc,182437,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +31,Private,98639,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,174201,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +52,Private,123780,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,38,United-States,<=50K +20,Private,374116,HS-grad,9,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K +37,Local-gov,212005,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +65,Private,123965,Bachelors,13,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,242619,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,4650,0,40,United-States,<=50K +60,Local-gov,138502,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,48,United-States,>50K +27,Private,113635,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,Ireland,<=50K +62,Private,664366,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +53,Private,218311,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +38,Private,278557,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +49,Private,314773,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,194861,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,400616,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,208117,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,<=50K +36,Private,184498,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,117674,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +19,Private,162621,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,14,United-States,<=50K +23,Private,368739,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +63,Self-emp-not-inc,196994,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K +63,Self-emp-not-inc,420629,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K +62,Self-emp-inc,245491,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,99999,0,40,United-States,>50K +51,Self-emp-not-inc,276456,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,3103,0,30,United-States,>50K +76,Local-gov,169133,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +50,Private,99307,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,45,United-States,<=50K +45,Self-emp-inc,120131,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +44,Self-emp-inc,456236,Some-college,10,Divorced,Sales,Own-child,White,Male,0,0,45,United-States,>50K +51,Private,107123,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +42,Local-gov,125461,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,4650,0,35,United-States,<=50K +43,Local-gov,36924,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +53,Private,167065,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,53642,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,154668,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +44,Federal-gov,102238,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +35,Private,54595,10th,6,Widowed,Other-service,Not-in-family,Black,Female,0,1980,40,United-States,<=50K +27,Private,152951,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,257042,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +60,Private,74243,Assoc-voc,11,Widowed,Craft-repair,Not-in-family,White,Female,0,0,30,United-States,<=50K +49,Private,149049,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,14344,0,45,United-States,>50K +33,Private,117186,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +35,Private,178322,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +31,State-gov,286911,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K +54,Private,203635,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,60,United-States,>50K +57,Self-emp-not-inc,177271,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +30,Private,149427,9th,5,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K +45,Private,101656,10th,6,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +41,Private,274363,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,42,United-States,>50K +25,Private,241025,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,18,United-States,<=50K +51,Self-emp-inc,338836,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +42,Private,210534,5th-6th,3,Separated,Adm-clerical,Other-relative,White,Male,0,0,40,El-Salvador,<=50K +28,Private,95725,Assoc-voc,11,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K +47,?,178013,10th,6,Married-civ-spouse,?,Wife,White,Female,0,0,20,Cuba,<=50K +53,Federal-gov,167410,Bachelors,13,Divorced,Tech-support,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +31,Private,158162,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,13550,0,50,United-States,>50K +46,Private,241935,11th,7,Married-civ-spouse,Other-service,Husband,Black,Male,7688,0,40,United-States,>50K +25,Federal-gov,406955,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +47,Private,341762,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,239303,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,<=50K +30,Private,38848,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,54744,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,332194,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,154950,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +33,Self-emp-not-inc,196342,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +31,Private,201292,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,339767,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,20,England,>50K +26,Private,250066,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,318886,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K +50,Local-gov,124076,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +30,State-gov,242122,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +17,Private,34019,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +35,Local-gov,230754,Masters,14,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K +29,Private,213842,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Federal-gov,196386,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,4064,0,40,El-Salvador,<=50K +32,Self-emp-not-inc,62165,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,?,<=50K +34,Private,134737,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,>50K +32,Private,515629,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Federal-gov,119199,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Private,90222,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,28443,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,159442,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,Ireland,<=50K +54,Private,315804,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,135840,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +38,Private,81232,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,>50K +43,Private,118001,7th-8th,4,Separated,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K +25,Private,207875,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K +39,Private,164898,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +57,Local-gov,170066,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,25,United-States,>50K +47,Private,111994,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,34,United-States,<=50K +45,Private,166636,HS-grad,9,Divorced,Other-service,Other-relative,Black,Female,0,0,35,United-States,<=50K +24,State-gov,61737,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,241885,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,234190,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K +57,Private,230899,5th-6th,3,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,114158,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,24,United-States,>50K +28,Private,222442,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,51,Cuba,<=50K +27,Private,157612,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K +28,Private,199903,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +74,?,292627,1st-4th,2,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,156687,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,42,Japan,<=50K +27,Private,369522,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,45,United-States,<=50K +61,Private,226297,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,356017,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,99,United-States,<=50K +28,Private,189257,9th,5,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,24,United-States,<=50K +20,Private,157541,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,69251,Assoc-voc,11,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +38,State-gov,272944,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,113667,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,25,United-States,<=50K +40,Private,222011,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K +43,Private,191196,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +38,Private,169104,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +19,Private,146679,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Male,0,0,30,United-States,<=50K +56,Private,226985,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,153066,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K +30,?,159303,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,4,United-States,<=50K +22,Private,200109,HS-grad,9,Married-civ-spouse,Priv-house-serv,Wife,White,Female,4508,0,40,United-States,<=50K +18,State-gov,109445,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +68,Private,99491,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +35,Private,172571,Assoc-voc,11,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +42,Private,143582,7th-8th,4,Married-civ-spouse,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,48,?,<=50K +32,Private,207113,10th,6,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +43,Federal-gov,192712,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +30,Private,154297,10th,6,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +62,Private,238913,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,2829,0,24,United-States,<=50K +38,Private,110402,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,207213,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,606111,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,Germany,>50K +26,Private,34112,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,119156,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,20,United-States,<=50K +19,Private,249787,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K +20,Private,153516,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +25,State-gov,260754,Bachelors,13,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K +28,Self-emp-not-inc,155621,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,50,Columbia,<=50K +36,Private,33983,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,42,United-States,>50K +23,Private,306601,Bachelors,13,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,Mexico,<=50K +24,Private,270075,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,50,United-States,<=50K +23,Private,109430,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,187115,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K +25,Self-emp-not-inc,463667,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,8,United-States,<=50K +24,Private,52262,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,144064,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,62,United-States,<=50K +26,Private,147821,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,45,?,<=50K +62,?,232719,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,268620,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,33,United-States,<=50K +45,Private,81132,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +31,Private,323069,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Female,0,880,45,United-States,<=50K +34,Private,242984,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,<=50K +65,Self-emp-inc,172684,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,Mexico,>50K +42,Private,103932,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +27,State-gov,431637,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,<=50K +40,Private,188942,Some-college,10,Married-civ-spouse,Sales,Wife,Black,Female,0,0,40,Puerto-Rico,<=50K +53,Federal-gov,170354,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +54,Private,28518,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +30,State-gov,193380,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Male,0,0,35,United-States,<=50K +59,Private,175942,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +42,Self-emp-not-inc,53956,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,55,United-States,<=50K +23,Private,120773,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,96219,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,<=50K +20,Private,104164,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,190429,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +73,?,243030,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K +47,Self-emp-not-inc,228660,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,40,United-States,>50K +44,Private,368757,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,220563,12th,8,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,233571,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,37,United-States,>50K +39,Private,187847,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,50,United-States,<=50K +49,Private,84298,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K +44,Self-emp-not-inc,254303,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K +27,Private,109611,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,37,Portugal,<=50K +50,Private,189183,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,206951,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +41,Private,282882,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +55,Private,377061,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +53,Private,209906,1st-4th,2,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,35,Puerto-Rico,<=50K +53,Local-gov,176059,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K +31,Private,279015,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,70,Taiwan,>50K +21,Private,347292,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,277314,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +74,?,29887,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,10,United-States,<=50K +53,Private,341439,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,>50K +47,Private,209460,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,47,United-States,<=50K +60,Private,114263,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,Hungary,>50K +59,Private,230899,9th,5,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,Mexico,<=50K +37,Private,271767,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,>50K +47,Federal-gov,20956,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K +49,Private,39986,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +73,Local-gov,45784,Some-college,10,Never-married,Prof-specialty,Other-relative,White,Female,0,0,11,United-States,<=50K +58,Private,126991,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K +18,?,234648,11th,7,Never-married,?,Own-child,Black,Male,0,0,15,United-States,<=50K +35,Private,207676,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +24,State-gov,413345,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,<=50K +62,Private,122033,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +58,Private,169611,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +51,Private,90363,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,15024,0,40,United-States,>50K +21,Private,372636,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K +30,Private,340917,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,34273,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,1876,36,Canada,<=50K +25,Private,161027,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,5178,0,40,United-States,>50K +31,Private,99844,HS-grad,9,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,45,United-States,<=50K +31,Private,207685,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,34,United-States,<=50K +44,Private,74680,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,50,United-States,>50K +52,Self-emp-inc,334273,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,65,United-States,>50K +30,Private,36069,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,100563,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K +36,Private,174308,11th,7,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,109413,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +59,Local-gov,212600,Some-college,10,Separated,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K +55,Private,271710,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +70,?,230816,Assoc-voc,11,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +22,Private,103277,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +42,Private,318947,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,187167,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +32,Private,204742,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +44,Private,282062,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,?,283510,HS-grad,9,Never-married,?,Unmarried,Black,Male,0,0,45,United-States,<=50K +25,Private,280093,11th,7,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K +31,Private,202729,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +33,Private,205950,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,392286,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +42,Self-emp-not-inc,119207,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,<=50K +49,Private,195554,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,<=50K +30,Private,173005,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,44,United-States,<=50K +54,Private,192862,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +39,Private,164712,Some-college,10,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +24,Private,195808,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,199444,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,44,United-States,<=50K +23,Private,126346,9th,5,Never-married,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K +54,Private,177675,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,42,United-States,<=50K +23,Private,50341,Masters,14,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +39,Private,237943,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,1726,40,United-States,<=50K +23,Private,126945,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,25,United-States,<=50K +67,?,92061,HS-grad,9,Widowed,?,Other-relative,White,Female,0,0,8,United-States,<=50K +19,?,109938,11th,7,Married-civ-spouse,?,Wife,Asian-Pac-Islander,Female,0,0,40,Laos,<=50K +41,Private,267252,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,1902,40,United-States,>50K +32,Private,174704,11th,7,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +57,Private,124771,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,200603,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,30,United-States,<=50K +60,State-gov,165827,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,60,United-States,>50K +21,Private,301199,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +53,Private,215790,Some-college,10,Widowed,Adm-clerical,Other-relative,White,Female,0,0,22,United-States,<=50K +38,Private,87556,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,United-States,>50K +21,Private,111467,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,82646,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,>50K +24,Private,162282,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Federal-gov,239074,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,214925,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,60,United-States,<=50K +23,Private,194247,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,211531,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +32,Local-gov,223267,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K +25,Private,201635,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +41,Self-emp-not-inc,188738,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,27,United-States,<=50K +18,Private,133055,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +57,Private,61761,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,45,United-States,<=50K +62,Private,103344,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Male,10520,0,50,United-States,>50K +29,Private,109814,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,225294,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +35,Self-emp-not-inc,97277,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K +52,Private,146711,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +28,Private,286452,10th,6,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,20308,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,224203,Some-college,10,Widowed,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +41,Private,225978,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +23,Private,237720,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K +31,Private,156743,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,76,United-States,>50K +31,Private,509364,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,Mexico,<=50K +46,Private,144351,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +18,Private,375515,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +57,Self-emp-not-inc,103529,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,>50K +25,Private,199472,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +32,Private,348152,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +27,Private,221166,9th,5,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +46,Federal-gov,341762,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K +17,?,634226,10th,6,Never-married,?,Own-child,White,Female,0,0,17,United-States,<=50K +43,State-gov,159449,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +56,Self-emp-not-inc,110238,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +19,Private,458558,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,<=50K +20,Federal-gov,340217,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +42,Private,155106,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K +90,Private,90523,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Male,0,0,99,United-States,<=50K +25,Private,122756,11th,7,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,35,United-States,<=50K +27,Private,293828,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,Jamaica,<=50K +48,Private,299291,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,<=50K +48,Federal-gov,483261,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +27,Private,122038,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +46,Private,160647,Bachelors,13,Widowed,Tech-support,Unmarried,White,Female,0,0,38,United-States,<=50K +32,Private,106541,5th-6th,3,Married-civ-spouse,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K +22,Private,126945,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,188505,Bachelors,13,Married-AF-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +31,Private,377850,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K +20,Private,193586,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,18,United-States,<=50K +28,Self-emp-not-inc,315417,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,2176,0,40,United-States,<=50K +40,Self-emp-inc,57233,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +39,Private,195253,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +54,Local-gov,172991,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +59,Local-gov,223215,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,42,United-States,<=50K +17,Private,95799,11th,7,Never-married,Sales,Own-child,White,Female,0,0,18,United-States,<=50K +25,Self-emp-not-inc,213385,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,80,United-States,<=50K +49,Local-gov,202467,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +55,Self-emp-not-inc,145574,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,34095,0,60,United-States,<=50K +39,Private,147548,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +67,Private,105216,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,16,United-States,<=50K +28,Private,77760,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +35,Private,167990,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Canada,<=50K +44,Private,167005,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,>50K +51,Private,108435,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,47,United-States,>50K +55,Private,56645,Bachelors,13,Widowed,Farming-fishing,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +45,Local-gov,304973,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,78,United-States,>50K +32,Private,42596,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +45,Private,220641,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Private,101452,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,England,>50K +35,Private,188888,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K +55,Local-gov,168790,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,<=50K +59,Private,98361,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +22,Private,401762,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,55,United-States,<=50K +46,Local-gov,160187,Masters,14,Widowed,Exec-managerial,Unmarried,Black,Female,0,0,35,United-States,<=50K +23,Private,203715,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,144351,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +34,Private,420749,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,Germany,<=50K +51,Private,106151,11th,7,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,362482,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +24,State-gov,38151,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,12,United-States,<=50K +20,Private,42706,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,72,United-States,<=50K +44,Private,126199,Some-college,10,Divorced,Transport-moving,Unmarried,White,Male,1831,0,50,United-States,<=50K +26,Private,165510,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +35,Local-gov,216068,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +23,Private,215624,Some-college,10,Never-married,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +40,Private,239708,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +49,Local-gov,199378,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,230420,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K +28,Private,395022,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Private,338620,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +62,Private,210142,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +31,Private,446358,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +47,Local-gov,352614,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +36,Private,293528,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,0,3,United-States,<=50K +44,State-gov,55395,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,?,128538,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +46,Private,428405,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +32,Private,126838,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,136836,Assoc-acdm,12,Divorced,Transport-moving,Unmarried,Black,Female,0,0,30,United-States,<=50K +48,Private,105838,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +28,Private,139903,Bachelors,13,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +57,Self-emp-inc,106103,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,>50K +33,Private,186824,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,350387,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,15,United-States,<=50K +17,Private,142912,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +63,?,321403,9th,5,Separated,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K +31,Self-emp-inc,114937,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +34,?,286689,Masters,14,Never-married,?,Not-in-family,White,Male,4650,0,30,United-States,<=50K +35,Private,147258,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,1974,40,United-States,<=50K +20,Private,451996,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,149833,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +24,Private,211968,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,24,United-States,<=50K +33,Private,287908,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,>50K +36,Private,166549,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,25216,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,286452,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Female,3418,0,40,United-States,<=50K +47,Private,162034,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +30,Private,186932,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,75,United-States,>50K +34,Private,82938,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,122048,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K +33,Private,118710,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,Private,243226,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +67,Self-emp-not-inc,268514,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,365289,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,165365,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,2885,0,40,Laos,<=50K +20,Private,219266,HS-grad,9,Married-civ-spouse,Prof-specialty,Own-child,White,Female,0,0,36,?,<=50K +24,Private,283757,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,39,United-States,<=50K +44,Federal-gov,206553,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,113364,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +28,Private,328949,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +19,Private,83930,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +31,Self-emp-not-inc,325355,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,40,United-States,>50K +20,Private,131852,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +64,Private,119506,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K +47,State-gov,100818,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +36,Private,162302,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +48,Private,182211,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K +19,Self-emp-not-inc,194205,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,Mexico,<=50K +22,Private,141040,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,35,United-States,<=50K +56,Private,346033,9th,5,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,177125,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K +37,Private,241174,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,99,United-States,>50K +57,Local-gov,130532,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +38,Private,168496,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +34,Private,362787,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +22,?,244771,11th,7,Separated,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +38,Federal-gov,48123,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Self-emp-inc,173858,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,1902,40,South,>50K +32,Private,207201,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +29,Private,37933,12th,8,Married-spouse-absent,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +56,Private,33323,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,175943,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,7298,0,35,United-States,>50K +66,?,306178,10th,6,Divorced,?,Not-in-family,White,Male,2050,0,40,United-States,<=50K +71,Local-gov,229110,HS-grad,9,Widowed,Exec-managerial,Other-relative,White,Female,0,0,33,United-States,<=50K +20,Private,113511,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,333677,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,36,United-States,<=50K +42,Private,236021,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,>50K +20,?,371089,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +61,Private,115023,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +24,State-gov,133586,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +51,Private,91137,9th,5,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +27,Private,105598,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,352812,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,40,United-States,>50K +31,Private,204829,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,247733,HS-grad,9,Divorced,Priv-house-serv,Unmarried,Black,Female,0,0,16,United-States,<=50K +36,?,370585,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,103257,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,178915,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Private,54260,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +43,Private,55395,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,233511,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K +49,Private,318331,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,195985,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Self-emp-not-inc,38876,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +67,Self-emp-inc,81413,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,172618,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +36,Private,174717,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +67,Private,224984,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,15831,0,16,Germany,>50K +61,Private,423297,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +55,Local-gov,88856,7th-8th,4,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,?,169104,Assoc-acdm,12,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,16,Philippines,<=50K +35,Federal-gov,39207,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,340018,10th,6,Never-married,Other-service,Unmarried,Black,Female,0,0,38,United-States,<=50K +20,State-gov,30796,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +51,Private,155403,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +23,Private,238092,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +39,Private,225605,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,24,United-States,<=50K +36,Private,289148,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Private,339863,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +27,Private,178778,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,80,United-States,>50K +29,Private,568490,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,State-gov,129345,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,447882,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +24,Private,314165,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,20,United-States,<=50K +39,Federal-gov,382859,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +51,State-gov,82504,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,149700,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,15024,0,40,United-States,>50K +62,Private,209844,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K +49,Private,62546,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +20,Private,228686,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,326587,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,202091,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +54,Self-emp-not-inc,310774,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,450246,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +20,?,84375,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,45,United-States,<=50K +43,Private,142444,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,55,United-States,>50K +26,Private,82246,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1876,38,United-States,<=50K +24,Private,192766,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,53109,11th,7,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Male,0,0,20,United-States,<=50K +45,Self-emp-inc,121836,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,?,>50K +45,Self-emp-not-inc,298130,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K +26,Private,135645,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,265275,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +54,?,410114,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +21,Without-pay,232719,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +29,Private,167716,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,99,United-States,<=50K +68,Private,107627,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,United-States,<=50K +21,Private,129674,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,48,Mexico,<=50K +28,Self-emp-inc,114053,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K +46,Private,202560,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +35,Private,219902,HS-grad,9,Separated,Transport-moving,Unmarried,Black,Female,0,0,48,United-States,<=50K +50,Self-emp-not-inc,192654,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,25,United-States,<=50K +48,Self-emp-inc,238966,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,?,112942,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +59,Private,153484,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,50,United-States,>50K +23,Private,161874,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Male,0,0,40,United-States,<=50K +53,Private,260106,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +50,Self-emp-inc,240374,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +32,?,251612,5th-6th,3,Never-married,?,Unmarried,White,Female,0,0,45,Mexico,<=50K +53,Private,223696,12th,8,Married-spouse-absent,Handlers-cleaners,Not-in-family,Other,Male,0,0,56,Dominican-Republic,<=50K +52,Private,176134,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,48,United-States,<=50K +38,Private,186959,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +43,Private,456236,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +35,Private,98948,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,32,United-States,<=50K +41,Private,166662,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +22,Private,448626,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +39,Private,167482,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,>50K +45,Private,189792,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +31,Private,399052,9th,5,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,42,United-States,<=50K +40,Private,104196,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +47,Self-emp-not-inc,152752,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K +53,Private,268545,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Jamaica,<=50K +53,Self-emp-inc,148532,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +33,Local-gov,281784,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Male,0,1564,52,United-States,>50K +24,Private,225724,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +34,Private,200192,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Self-emp-inc,170850,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +29,Federal-gov,224858,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K +61,State-gov,159908,11th,7,Widowed,Other-service,Unmarried,White,Female,0,0,32,United-States,>50K +31,Private,115488,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,1268339,HS-grad,9,Married-spouse-absent,Tech-support,Own-child,Black,Male,0,0,40,United-States,<=50K +42,Private,195755,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +50,Federal-gov,186272,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,181388,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,177181,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +74,Private,91488,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,20,United-States,<=50K +40,Private,230961,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +75,Self-emp-not-inc,309955,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2174,50,United-States,>50K +40,Local-gov,63042,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +36,Private,29814,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +61,?,116230,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +42,?,167678,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,22,Ecuador,<=50K +28,Private,191088,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +19,Private,63814,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,18,United-States,<=50K +36,Private,285865,Assoc-acdm,12,Separated,Other-service,Unmarried,Black,Female,0,0,32,United-States,<=50K +33,?,160776,Assoc-voc,11,Divorced,?,Not-in-family,White,Female,0,0,40,France,<=50K +50,Federal-gov,299831,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,880,40,United-States,<=50K +47,Private,162741,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,Black,Female,15024,0,40,United-States,>50K +48,Private,204990,HS-grad,9,Never-married,Tech-support,Unmarried,Black,Female,0,0,33,Jamaica,<=50K +60,Self-emp-inc,171315,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,296462,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,30,United-States,<=50K +32,Private,103860,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +45,Local-gov,159816,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,35,United-States,>50K +51,Private,96586,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +53,Private,202720,9th,5,Married-spouse-absent,Machine-op-inspct,Unmarried,Black,Male,0,0,75,Haiti,<=50K +34,Private,202822,Masters,14,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,?,<=50K +48,Self-emp-not-inc,379883,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Mexico,>50K +68,?,123464,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,<=50K +32,Private,294121,Assoc-acdm,12,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,50,United-States,<=50K +63,?,179981,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,4,United-States,<=50K +31,Private,234387,HS-grad,9,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +58,Self-emp-not-inc,154537,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +32,Private,125856,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +32,Private,156015,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,116632,Bachelors,13,Divorced,Sales,Own-child,White,Male,0,0,80,United-States,<=50K +50,Private,124963,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,55,United-States,>50K +38,Self-emp-not-inc,115215,10th,6,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,254905,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,195532,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,190067,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,1564,40,United-States,>50K +63,Private,181828,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,?,<=50K +32,Private,203674,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,880,36,United-States,<=50K +25,Private,322585,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +59,Private,246262,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +22,Local-gov,211129,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,?,<=50K +49,Private,139268,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,188540,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,?,251167,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,30,Mexico,<=50K +46,Private,94809,Some-college,10,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,30,United-States,<=50K +37,Local-gov,265038,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +48,Private,182566,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K +43,Private,220109,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,1672,44,United-States,<=50K +41,Private,208470,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +54,Private,28683,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3464,0,40,United-States,<=50K +36,Private,233571,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,4,United-States,<=50K +29,Private,24562,Bachelors,13,Divorced,Other-service,Unmarried,Other,Female,0,0,40,United-States,<=50K +66,Local-gov,36364,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2267,40,United-States,<=50K +59,Private,168569,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +62,Private,167098,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +29,Private,271579,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +28,Private,191355,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +27,Private,31659,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,60,United-States,>50K +42,State-gov,83411,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +60,Private,40856,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,>50K +58,Private,115605,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +27,Private,132326,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,220213,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Private,172511,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +43,Private,156745,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +39,Private,218916,Prof-school,15,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +21,Private,306114,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +24,Private,196675,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,70,United-States,<=50K +59,Self-emp-not-inc,73411,Prof-school,15,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +36,Private,184659,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +72,?,75890,Some-college,10,Widowed,?,Unmarried,Asian-Pac-Islander,Female,0,0,4,United-States,<=50K +35,Private,320451,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,65,Hong,>50K +33,Private,172498,Some-college,10,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,131588,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Female,0,0,45,United-States,<=50K +40,Private,124520,Assoc-voc,11,Divorced,Craft-repair,Unmarried,White,Male,0,0,50,United-States,>50K +26,Self-emp-not-inc,93806,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +37,Federal-gov,173192,Assoc-voc,11,Separated,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +68,Self-emp-not-inc,198554,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Female,0,0,20,United-States,<=50K +45,Private,26502,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,United-States,>50K +56,Private,225267,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,150042,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +50,Private,211319,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K +38,Private,208358,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,58115,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,41,United-States,<=50K +28,Private,219267,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,28,United-States,<=50K +39,Federal-gov,129573,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +26,Local-gov,27834,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Self-emp-inc,415037,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,>50K +52,Private,191529,Bachelors,13,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +84,Private,132806,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,13,United-States,<=50K +33,Federal-gov,137059,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,10,United-States,<=50K +46,Federal-gov,102308,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +30,Private,164309,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +38,Private,40955,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,England,>50K +66,Private,141085,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,8,United-States,<=50K +62,Federal-gov,258124,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Italy,>50K +31,Private,467579,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1887,40,United-States,>50K +31,Private,145139,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Private,231141,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2829,0,40,United-States,<=50K +60,Self-emp-not-inc,146674,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,50,?,<=50K +27,Private,242207,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +37,?,102541,Assoc-voc,11,Married-civ-spouse,?,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +38,Private,135416,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,267284,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +48,Private,130812,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +42,Self-emp-not-inc,183765,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,?,<=50K +45,Local-gov,188823,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +22,Private,200593,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +50,Private,124094,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Poland,<=50K +21,Private,50411,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Local-gov,101689,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +60,Self-emp-not-inc,73091,HS-grad,9,Separated,Other-service,Not-in-family,Black,Male,0,1876,50,United-States,<=50K +21,?,107801,Some-college,10,Never-married,?,Own-child,White,Female,0,0,6,United-States,<=50K +51,Private,176969,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +30,Private,342709,HS-grad,9,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +46,Self-emp-not-inc,368561,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,26915,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +57,Private,157974,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,48,United-States,<=50K +48,Private,109832,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +39,Self-emp-inc,116358,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,7688,0,40,?,>50K +68,Self-emp-not-inc,195881,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,2414,0,40,United-States,<=50K +33,Private,183000,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,24,United-States,<=50K +22,Without-pay,302347,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,4416,0,40,United-States,<=50K +18,?,151463,11th,7,Never-married,?,Other-relative,White,Male,0,0,7,United-States,<=50K +28,Private,217200,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K +32,Private,31740,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K +56,Private,35520,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,<=50K +36,Private,369843,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +34,Private,199227,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +18,Private,144711,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,1721,40,United-States,<=50K +39,Private,382802,10th,6,Widowed,Machine-op-inspct,Not-in-family,Black,Male,0,1590,40,United-States,<=50K +25,Private,254781,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Self-emp-not-inc,70657,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +56,Self-emp-not-inc,50791,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,1876,60,United-States,<=50K +33,Self-emp-not-inc,222162,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Self-emp-inc,94606,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,60,United-States,>50K +44,Self-emp-not-inc,104196,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,84,United-States,<=50K +30,Self-emp-not-inc,455995,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,>50K +27,Private,166210,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +25,Private,198986,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K +30,Self-emp-inc,292465,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,99388,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,El-Salvador,<=50K +38,Private,698363,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,154940,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,401998,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,20,United-States,<=50K +62,Private,162825,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +55,Self-emp-not-inc,271795,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,134671,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,87583,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,14,United-States,<=50K +50,Private,248619,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,130200,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +45,Private,178922,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +23,Private,51985,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,38,United-States,<=50K +37,Private,125933,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +38,State-gov,104280,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +27,Private,617860,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +29,Private,122112,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K +45,Local-gov,181758,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Self-emp-inc,223671,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1887,55,United-States,>50K +38,Self-emp-not-inc,140117,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +27,Private,107458,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Federal-gov,215948,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Other,Male,0,0,40,?,<=50K +44,Federal-gov,306440,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Federal-gov,615893,Masters,14,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,Nicaragua,<=50K +28,Self-emp-inc,201186,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,99999,0,40,United-States,>50K +32,Private,37210,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +43,Private,196084,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +45,Local-gov,166181,HS-grad,9,Divorced,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +52,Federal-gov,291096,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,7298,0,40,United-States,>50K +24,Private,232841,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +19,?,131982,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,408788,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +53,Self-emp-inc,42924,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Male,14084,0,50,United-States,>50K +31,Private,181091,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +30,Private,200246,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Private,282023,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +49,Federal-gov,128990,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +38,Private,106838,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,144750,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,18,United-States,<=50K +39,Private,108140,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,103323,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,268022,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K +58,Private,197114,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,191628,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,2174,0,40,United-States,<=50K +59,Local-gov,176118,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +24,Private,42401,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,47,United-States,<=50K +42,Private,322385,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2407,0,40,United-States,<=50K +53,State-gov,123011,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +35,Private,210945,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +36,Local-gov,130620,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,China,>50K +26,Private,248990,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +33,Private,132705,9th,5,Separated,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,<=50K +29,Private,94892,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,141858,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,81232,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +48,Private,114561,Bachelors,13,Married-spouse-absent,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,0,36,Philippines,>50K +45,Local-gov,191776,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,128354,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,37088,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +21,Private,414812,7th-8th,4,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +63,?,156799,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,4,United-States,<=50K +39,Private,33983,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,15024,0,40,United-States,>50K +52,Self-emp-not-inc,194995,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,55,United-States,>50K +41,Self-emp-inc,73431,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +48,Private,155664,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,70,United-States,>50K +27,?,182386,11th,7,Divorced,?,Unmarried,White,Female,0,0,35,United-States,<=50K +53,State-gov,281074,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,1092,40,United-States,<=50K +33,Local-gov,248346,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +37,Private,167482,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +18,?,171088,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +43,Federal-gov,211763,Doctorate,16,Separated,Prof-specialty,Unmarried,Black,Female,0,0,24,United-States,>50K +20,Private,122166,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,370119,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +36,Self-emp-not-inc,138940,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +41,Private,174575,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,45,United-States,>50K +67,Private,101132,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,1797,0,40,United-States,<=50K +38,Private,292307,Bachelors,13,Married-spouse-absent,Craft-repair,Not-in-family,Black,Male,0,0,40,Dominican-Republic,<=50K +47,Self-emp-not-inc,248776,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,25,United-States,<=50K +39,Private,314007,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +34,Self-emp-not-inc,213226,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,35,?,<=50K +36,Private,76845,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K +24,Private,148320,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +50,Self-emp-not-inc,54261,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K +21,Private,223352,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,1055,0,30,United-States,<=50K +21,Private,211013,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,50,Mexico,<=50K +40,Private,209833,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,356272,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +38,Private,143538,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,242960,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +44,Local-gov,263871,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +20,Private,151105,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +44,Private,207685,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,1564,55,England,>50K +49,Local-gov,46537,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,594,0,10,United-States,<=50K +45,Self-emp-inc,84324,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +24,Private,224716,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,186269,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +58,Self-emp-not-inc,143731,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,72,United-States,>50K +39,Private,236391,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +22,Private,54560,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,266325,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,32,United-States,>50K +32,Federal-gov,42900,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +45,State-gov,183710,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,<=50K +23,Private,278254,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,45,United-States,<=50K +35,Private,119992,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +52,Private,284329,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +55,Private,368727,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,353696,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,31387,Bachelors,13,Married-civ-spouse,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,2885,0,25,United-States,<=50K +27,Private,110931,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,169532,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +21,Private,285522,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Private,198774,Bachelors,13,Divorced,Sales,Other-relative,White,Female,0,0,35,United-States,<=50K +32,Private,123291,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +64,Private,146110,Some-college,10,Widowed,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K +37,Self-emp-not-inc,29814,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K +61,Private,195595,7th-8th,4,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Guatemala,<=50K +44,Private,92649,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,>50K +53,Private,290688,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K +43,Private,427382,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +60,State-gov,234854,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +23,Private,276568,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,250038,Masters,14,Married-civ-spouse,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Mexico,<=50K +29,Private,150861,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Private,87205,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,55,England,<=50K +47,Private,343579,1st-4th,2,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,12,Mexico,<=50K +20,Private,94401,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,120238,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,40,Poland,>50K +27,Private,205440,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,198996,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,294253,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,27,United-States,<=50K +23,Private,256628,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,32,United-States,<=50K +59,Self-emp-not-inc,223131,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +46,Private,207301,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K +66,?,270460,7th-8th,4,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Local-gov,125457,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,38,United-States,>50K +36,Local-gov,212856,11th,7,Never-married,Other-service,Unmarried,White,Female,0,0,23,United-States,<=50K +44,Private,197389,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +17,Private,73338,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +27,Private,68037,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +32,Private,185027,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +53,Private,107123,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +22,Private,109482,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,98,United-States,<=50K +30,Private,174543,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +47,Self-emp-not-inc,208407,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2002,30,United-States,<=50K +68,Self-emp-not-inc,211584,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +39,Private,108540,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,202416,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +62,?,160155,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,6418,0,40,United-States,>50K +20,Private,176178,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +21,Private,265148,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,38,Jamaica,<=50K +34,Private,220631,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,50,?,<=50K +30,Self-emp-not-inc,303692,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,<=50K +25,Private,135845,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +23,State-gov,199915,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,21,United-States,<=50K +40,State-gov,150533,Bachelors,13,Married-civ-spouse,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,<=50K +26,Federal-gov,85482,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +57,Self-emp-not-inc,24473,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +36,Private,272944,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +43,?,82077,Some-college,10,Divorced,?,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +49,State-gov,194895,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Private,314153,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +32,Private,176253,Some-college,10,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +59,Private,113959,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +42,State-gov,167581,Bachelors,13,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +37,Private,79586,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Iran,<=50K +40,Private,166662,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K +47,Private,72896,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,345730,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +30,Private,302473,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +42,Private,42346,HS-grad,9,Widowed,Exec-managerial,Not-in-family,Black,Female,0,0,35,United-States,<=50K +21,Private,243921,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,131620,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Own-child,White,Female,0,0,40,Dominican-Republic,<=50K +47,Private,158924,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K +22,Self-emp-not-inc,32921,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K +35,Private,252897,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,14344,0,40,United-States,>50K +41,Private,155657,11th,7,Never-married,Handlers-cleaners,Other-relative,Black,Female,0,0,40,United-States,<=50K +43,Federal-gov,155106,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,53,United-States,<=50K +60,Private,82775,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +73,Private,26248,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K +90,Private,88991,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,England,>50K +62,Federal-gov,125155,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K +28,Private,218039,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,53524,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,259352,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +30,Private,296453,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +19,Private,278915,12th,8,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,52,United-States,<=50K +23,Private,565313,Some-college,10,Never-married,Other-service,Own-child,Black,Male,2202,0,80,United-States,<=50K +22,Federal-gov,274103,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K +19,Private,271118,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,28,United-States,<=50K +45,Federal-gov,207107,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,Asian-Pac-Islander,Male,0,2080,40,Philippines,<=50K +26,Local-gov,138597,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K +42,Local-gov,180985,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,99999,0,40,United-States,>50K +62,Self-emp-not-inc,159939,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +61,Private,110920,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,34862,Bachelors,13,Divorced,Sales,Not-in-family,Amer-Indian-Eskimo,Male,0,1564,60,United-States,>50K +22,Local-gov,163205,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,53,United-States,<=50K +56,Private,110003,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +32,Private,229051,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +24,?,144898,Some-college,10,Never-married,?,Unmarried,White,Male,0,0,40,United-States,<=50K +26,Private,211596,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,48458,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,1669,45,United-States,<=50K +58,Private,201393,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Male,0,1876,40,United-States,<=50K +25,Self-emp-not-inc,136450,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K +23,Private,193586,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +23,Private,91189,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,227832,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,271936,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +35,Private,61343,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +30,Private,157778,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,>50K +23,Private,201680,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,228320,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +72,Private,33404,10th,6,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +21,Private,103205,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,279029,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,213092,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Private,126104,Masters,14,Divorced,Adm-clerical,Not-in-family,White,Female,0,1980,45,United-States,<=50K +32,Private,119124,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +65,Private,31924,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K +22,Private,253799,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,?,<=50K +52,Private,266138,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,>50K +65,Private,185001,10th,6,Widowed,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +33,Self-emp-not-inc,34102,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +35,Private,115214,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,6497,0,65,United-States,<=50K +27,Private,289484,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +34,State-gov,287908,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,42,United-States,<=50K +53,Self-emp-not-inc,158284,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K +23,Private,60668,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K +43,State-gov,222978,Doctorate,16,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K +58,Private,244605,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,3908,0,40,United-States,<=50K +38,Private,150601,10th,6,Separated,Adm-clerical,Unmarried,White,Male,0,3770,40,United-States,<=50K +26,Private,199143,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +60,Private,131681,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +28,Private,346406,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1672,50,United-States,<=50K +33,Federal-gov,391122,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +29,Local-gov,280344,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +54,State-gov,188809,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +41,Private,277488,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,36,United-States,<=50K +63,Self-emp-not-inc,181561,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +31,Private,158545,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,27,United-States,<=50K +23,Private,313573,Bachelors,13,Never-married,Sales,Own-child,Black,Female,0,0,25,United-States,<=50K +31,Private,591711,Some-college,10,Married-spouse-absent,Transport-moving,Not-in-family,Black,Male,0,0,40,?,<=50K +41,Private,268183,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +51,Private,392286,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +59,Private,233312,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +23,Private,520231,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +24,Self-emp-not-inc,186831,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,45,United-States,<=50K +67,Self-emp-not-inc,141085,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +65,?,198019,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +47,Local-gov,198660,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +21,Private,409230,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Guatemala,<=50K +38,Private,376025,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,80167,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Private,99357,Masters,14,Divorced,Prof-specialty,Own-child,White,Female,1506,0,40,United-States,<=50K +24,Private,82847,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,50,Portugal,>50K +24,Private,22201,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,40,Thailand,<=50K +38,Private,275223,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K +19,Private,117595,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K +32,Private,207668,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +63,Self-emp-not-inc,179981,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +18,Private,192583,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +36,Private,66304,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +41,Private,200671,Bachelors,13,Divorced,Transport-moving,Own-child,Black,Male,6497,0,40,United-States,<=50K +57,Private,32365,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,28497,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,222978,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,1504,40,United-States,<=50K +25,Private,160261,Some-college,10,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,40,China,<=50K +48,Private,120724,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +20,Private,91733,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K +74,Self-emp-not-inc,146929,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +44,Private,205706,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,181666,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +54,Local-gov,279452,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,207568,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,>50K +38,Private,22494,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,7443,0,40,United-States,<=50K +18,Private,210026,10th,6,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +32,Local-gov,190889,Masters,14,Never-married,Prof-specialty,Not-in-family,Other,Female,0,0,40,?,<=50K +24,Private,109869,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +19,Self-emp-not-inc,285263,9th,5,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,Mexico,<=50K +28,Private,192588,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,232945,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,Other,Male,0,0,30,United-States,<=50K +49,Local-gov,31339,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,305147,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +63,Private,188914,HS-grad,9,Widowed,Machine-op-inspct,Other-relative,Black,Female,0,0,40,Haiti,<=50K +58,Self-emp-not-inc,141165,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +68,Self-emp-inc,136218,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,15,United-States,<=50K +41,Federal-gov,371382,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +21,?,199177,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,221366,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,50,United-States,>50K +24,Private,403671,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,193871,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Private,306183,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,44,United-States,<=50K +64,?,159938,HS-grad,9,Divorced,?,Not-in-family,White,Male,8614,0,40,United-States,>50K +54,Private,124194,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,69847,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,30,United-States,<=50K +26,State-gov,169323,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,State-gov,172327,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K +48,Private,118889,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,2885,0,15,United-States,<=50K +50,Private,166220,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,White,Female,3942,0,40,United-States,<=50K +39,Private,186420,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,192779,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,>50K +41,Private,105616,Some-college,10,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,48,United-States,<=50K +24,Private,141113,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,2580,0,40,United-States,<=50K +57,Private,160275,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,164507,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Columbia,<=50K +41,Private,207578,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,India,>50K +55,Private,314592,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +41,?,254630,Assoc-voc,11,Divorced,?,Not-in-family,White,Male,0,0,80,United-States,<=50K +69,Private,159522,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,Black,Female,2964,0,40,United-States,<=50K +22,Private,112130,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +45,Private,192835,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,3942,0,40,United-States,<=50K +33,Private,206280,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +57,Private,308861,Some-college,10,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Self-emp-not-inc,93206,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,1902,65,United-States,>50K +40,Private,206066,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +48,Self-emp-not-inc,309895,Some-college,10,Divorced,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +38,Local-gov,216129,Some-college,10,Married-spouse-absent,Exec-managerial,Unmarried,Black,Female,0,0,35,United-States,<=50K +26,State-gov,287420,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +24,Private,163595,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,170092,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K +37,Private,287031,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,75,United-States,>50K +42,Private,59474,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,99151,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +37,Private,206888,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +28,Private,177119,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,80,?,<=50K +22,Private,173736,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,182163,11th,7,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Germany,<=50K +45,Local-gov,311080,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +29,Self-emp-not-inc,389857,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K +23,Private,297152,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,25,United-States,<=50K +24,Federal-gov,130534,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,137301,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +58,Private,316235,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,32,United-States,<=50K +28,Self-emp-inc,32922,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +58,Private,118303,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,35,United-States,>50K +18,Private,188241,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +59,Private,236731,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +39,Private,209397,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +53,Self-emp-inc,290640,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +54,Private,221915,Prof-school,15,Never-married,Prof-specialty,Other-relative,White,Female,0,0,65,United-States,<=50K +51,Private,175246,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +59,Private,159724,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,7298,0,55,United-States,>50K +42,State-gov,160369,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K +36,Private,461337,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +37,Private,187311,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +32,Private,29312,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,197365,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K +19,Private,301747,HS-grad,9,Separated,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +55,Local-gov,135439,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,<=50K +30,Private,340917,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,155057,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +65,?,200749,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K +44,Private,323627,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,5,United-States,<=50K +23,?,154921,5th-6th,3,Never-married,?,Not-in-family,White,Male,0,0,50,United-States,<=50K +32,Private,131425,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +60,Private,184242,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +28,Private,149769,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Cambodia,<=50K +44,Private,124924,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Mexico,<=50K +29,Private,253003,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,16,United-States,<=50K +57,State-gov,250976,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,104196,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +34,Self-emp-not-inc,250182,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +44,Private,188331,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,42,United-States,<=50K +44,Private,187322,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,130714,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,22,United-States,<=50K +37,Private,40955,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +35,Private,107125,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,16,United-States,>50K +51,Private,145714,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,?,>50K +27,Private,133937,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +41,State-gov,293485,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,3103,0,40,United-States,>50K +28,?,203260,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,8,United-States,<=50K +37,Self-emp-not-inc,143368,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +18,Private,51789,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,8,United-States,<=50K +24,State-gov,211049,7th-8th,4,Never-married,Tech-support,Unmarried,White,Female,0,0,20,United-States,<=50K +53,Private,81794,12th,8,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +40,Private,139193,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,1980,48,United-States,<=50K +54,Private,150999,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,60,United-States,<=50K +22,Private,332657,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,240043,10th,6,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,30,United-States,<=50K +43,Private,186188,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,Iran,<=50K +58,State-gov,223400,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K +59,Local-gov,102442,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +31,Private,236599,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +35,Private,283237,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +17,Private,150106,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +45,Private,102076,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K +40,Private,374764,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,32528,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +25,Federal-gov,50053,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K +58,Private,212864,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,30673,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,>50K +69,?,248248,1st-4th,2,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,34,Philippines,<=50K +23,Private,419554,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,54,United-States,<=50K +32,State-gov,177216,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,118158,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,<=50K +41,Private,116391,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Germany,<=50K +74,Private,194312,9th,5,Widowed,Craft-repair,Not-in-family,White,Male,0,0,10,?,<=50K +43,Private,111895,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +18,Private,193290,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,1721,20,United-States,<=50K +24,Federal-gov,287988,Bachelors,13,Never-married,Armed-Forces,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Private,147653,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,32,United-States,<=50K +54,Private,117674,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +60,Private,187458,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,410351,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,207578,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +62,?,55621,Some-college,10,Married-civ-spouse,?,Husband,Black,Male,0,0,35,United-States,>50K +27,State-gov,271243,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Male,0,0,40,Jamaica,<=50K +30,Private,188798,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +63,Local-gov,168656,Bachelors,13,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,35,Outlying-US(Guam-USVI-etc),<=50K +33,Private,460408,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,3325,0,50,United-States,<=50K +34,Private,241885,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +20,?,133061,9th,5,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,194097,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,219137,10th,6,Never-married,Other-service,Own-child,Black,Male,0,0,25,United-States,<=50K +50,Private,31621,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +43,Private,207685,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,57052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2885,0,40,United-States,<=50K +19,Private,109854,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +20,?,369678,HS-grad,9,Never-married,?,Not-in-family,Other,Male,0,0,43,United-States,<=50K +17,Private,53611,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,6,United-States,<=50K +47,Private,344916,Assoc-acdm,12,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +25,Local-gov,198813,Bachelors,13,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K +71,Private,180733,Masters,14,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +21,Private,188073,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +69,?,159077,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,48,United-States,<=50K +48,Private,174829,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,142791,7th-8th,4,Widowed,Sales,Other-relative,White,Female,0,1602,3,United-States,<=50K +58,Self-emp-not-inc,43221,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2415,40,United-States,>50K +34,Private,188736,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Other-relative,Other,Female,0,0,20,Columbia,<=50K +33,Local-gov,222654,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,66,?,<=50K +56,Private,251836,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K +40,Federal-gov,112388,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,209641,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K +42,Private,313945,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Ecuador,<=50K +19,?,134974,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +41,Private,152742,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,3325,0,40,United-States,<=50K +28,Self-emp-inc,153291,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +40,Private,353432,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,35,United-States,<=50K +23,Private,96635,Some-college,10,Never-married,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K +46,?,202560,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,>50K +39,Private,150057,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +39,Private,114844,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1876,50,United-States,<=50K +45,Private,132847,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,?,41356,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +50,Self-emp-not-inc,93705,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,309350,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,123084,11th,7,Married-civ-spouse,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +55,Private,174662,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,32,United-States,<=50K +62,Federal-gov,177295,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,211880,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,454915,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,232475,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Self-emp-inc,244605,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +50,Private,150876,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1887,55,United-States,>50K +51,Private,257337,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +47,Private,329144,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4386,0,45,United-States,>50K +37,Private,116960,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +58,Private,267663,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Mexico,<=50K +39,Private,47871,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,>50K +34,Private,295922,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,England,>50K +45,Private,175625,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +19,?,129586,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,190179,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K +40,Private,168071,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Male,3325,0,40,United-States,<=50K +39,Self-emp-not-inc,202027,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +36,Private,202662,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +56,Private,101436,HS-grad,9,Divorced,Adm-clerical,Other-relative,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K +19,?,119234,Some-college,10,Never-married,?,Other-relative,White,Female,0,0,15,United-States,<=50K +37,Private,360743,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,>50K +60,Local-gov,93272,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,145574,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +51,Private,101722,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,3908,0,47,United-States,<=50K +34,Private,135785,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K +23,?,218415,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K +19,Private,127709,HS-grad,9,Never-married,Farming-fishing,Own-child,Black,Male,0,0,30,United-States,<=50K +37,Federal-gov,448337,HS-grad,9,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +58,Private,310320,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +33,Private,251521,11th,7,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +39,Private,255503,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +36,Private,116608,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,4865,0,40,United-States,<=50K +26,Private,71009,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +22,Private,174975,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,0,0,36,United-States,<=50K +32,Private,108023,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,Private,204018,11th,7,Never-married,Sales,Unmarried,White,Male,0,0,15,United-States,<=50K +57,?,366563,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +68,Private,121846,7th-8th,4,Widowed,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K +70,Private,278139,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3432,0,40,United-States,<=50K +30,Private,114691,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +19,State-gov,536725,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,15,Japan,<=50K +51,Private,94432,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,286002,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,30,Nicaragua,<=50K +47,Private,101684,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,352834,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,55,United-States,>50K +36,Private,99146,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K +30,Private,231413,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +26,Private,158846,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +41,Local-gov,190786,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K +25,Private,306513,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +62,Private,152148,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,309580,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,?,130832,Bachelors,13,Never-married,?,Unmarried,White,Female,0,0,10,United-States,<=50K +25,Private,194897,HS-grad,9,Never-married,Sales,Own-child,Amer-Indian-Eskimo,Male,6849,0,40,United-States,<=50K +30,Private,130078,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +48,Private,39986,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,379198,HS-grad,9,Never-married,Other-service,Other-relative,Other,Male,0,0,40,Mexico,<=50K +51,Private,189762,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,15,United-States,>50K +19,Private,178147,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K +31,Private,332379,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,175759,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K +21,?,262062,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +40,Private,275446,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K +30,Self-emp-not-inc,278522,11th,7,Never-married,Farming-fishing,Own-child,Black,Male,0,0,40,United-States,<=50K +28,Self-emp-not-inc,54683,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,1590,40,United-States,<=50K +57,Private,136107,9th,5,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +18,Private,205894,11th,7,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +54,Private,210736,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +32,Private,166634,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +52,Private,185283,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,180553,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Private,199058,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,?,<=50K +18,Private,145005,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +37,Self-emp-not-inc,184655,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +52,Private,358554,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K +59,Private,307423,9th,5,Never-married,Other-service,Not-in-family,Black,Male,0,0,50,United-States,<=50K +27,Private,472070,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Federal-gov,115562,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,32446,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +44,Self-emp-not-inc,33121,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K +37,Private,183345,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +28,Private,119793,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,10520,0,50,United-States,>50K +48,Self-emp-not-inc,97883,HS-grad,9,Separated,Other-service,Other-relative,White,Female,0,0,25,United-States,<=50K +58,Self-emp-not-inc,31732,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +29,Private,206250,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +37,Private,103323,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +35,Self-emp-inc,135436,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +36,Private,376455,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K +52,Private,160703,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,<=50K +30,Private,131699,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,243842,9th,5,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +55,Self-emp-not-inc,349910,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +61,Private,170262,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,38,United-States,>50K +33,Private,184306,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,30,United-States,<=50K +46,Private,224202,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +64,Private,151540,11th,7,Widowed,Tech-support,Unmarried,White,Female,0,0,16,United-States,<=50K +28,Private,231197,10th,6,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,0,40,Mexico,<=50K +19,Private,279968,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K +36,Private,162651,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Male,0,0,40,Columbia,<=50K +43,Self-emp-not-inc,130126,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Self-emp-not-inc,160120,Doctorate,16,Divorced,Adm-clerical,Other-relative,Other,Male,0,0,40,?,<=50K +56,Private,161662,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K +24,Local-gov,201664,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,137142,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +45,Self-emp-inc,122206,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +56,Local-gov,183169,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,126513,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Female,0,0,40,?,<=50K +35,Federal-gov,185053,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,408427,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +50,Self-emp-not-inc,198581,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +61,Private,199198,7th-8th,4,Widowed,Other-service,Not-in-family,Black,Female,0,0,21,United-States,<=50K +31,Private,184306,Assoc-voc,11,Never-married,Transport-moving,Own-child,White,Male,0,1980,60,United-States,<=50K +63,Private,172740,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,205153,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,164964,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,162606,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +24,Private,179627,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,103408,Some-college,10,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,Germany,>50K +27,Private,36440,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,57512,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,48,United-States,<=50K +27,Private,187981,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +55,Private,393768,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,108726,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +31,Private,180551,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +51,Self-emp-not-inc,176240,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +56,Private,70720,12th,8,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +39,Private,35890,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,283676,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +34,Local-gov,105540,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2051,40,United-States,<=50K +44,Private,408717,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,3674,0,50,United-States,<=50K +21,Private,57916,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,177974,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,70,United-States,<=50K +34,?,177304,10th,6,Divorced,?,Not-in-family,White,Male,0,0,40,Columbia,<=50K +18,Private,115839,12th,8,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +34,?,205256,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2885,0,80,United-States,<=50K +38,Private,117802,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,65,United-States,>50K +19,Private,211355,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,12,United-States,<=50K +46,Private,173243,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,343200,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +22,Private,401690,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,Mexico,<=50K +38,Private,196123,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +33,Private,168981,Masters,14,Divorced,Exec-managerial,Own-child,White,Female,14084,0,50,United-States,>50K +83,Self-emp-not-inc,213866,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,8,United-States,<=50K +34,Private,55176,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +38,Private,153976,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,119176,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,169117,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,1887,40,United-States,>50K +38,Private,156550,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +25,Private,109609,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K +38,Private,26698,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,236497,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +33,State-gov,306309,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +17,Private,242773,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +28,Private,124680,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,6849,0,60,United-States,<=50K +52,Local-gov,43909,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +34,Private,112820,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Male,2463,0,40,United-States,<=50K +25,Private,148300,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K +17,Private,133449,9th,5,Never-married,Other-service,Own-child,Black,Male,0,0,26,United-States,<=50K +22,Private,263670,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,80,United-States,<=50K +22,Private,276494,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +46,Private,190115,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K +58,Private,317479,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +39,Private,151248,Some-college,10,Divorced,Sales,Other-relative,White,Female,0,0,35,United-States,<=50K +59,Local-gov,130532,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,40,Poland,<=50K +61,Private,160062,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,299635,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +50,Private,171225,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +51,Private,33304,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,95634,Bachelors,13,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,45,?,<=50K +20,Private,243878,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +38,Local-gov,181721,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K +44,Federal-gov,201435,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +28,Private,334032,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +50,Private,220019,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +53,Private,71772,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +42,Self-emp-not-inc,27661,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +47,Private,191411,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,45,India,<=50K +39,Private,123945,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +38,Self-emp-not-inc,37778,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K +34,State-gov,171216,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,United-States,<=50K +40,Private,93955,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +63,Private,163809,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +53,Private,346754,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +43,Private,188436,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,<=50K +28,Private,72443,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,1669,60,United-States,<=50K +68,Private,186350,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,10,United-States,>50K +22,?,214238,7th-8th,4,Never-married,?,Unmarried,White,Female,0,0,40,Mexico,<=50K +46,State-gov,394860,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,<=50K +57,Private,262642,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +38,Private,125550,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +66,Private,192504,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,131310,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +54,Private,249322,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K +38,Private,172755,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,209993,11th,7,Separated,Priv-house-serv,Unmarried,White,Female,0,0,8,Mexico,<=50K +30,Private,166961,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,37,United-States,<=50K +39,Private,315291,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Private,284703,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +50,Private,166565,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +30,Self-emp-not-inc,173854,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +25,Private,189219,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +24,Private,210781,Bachelors,13,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,France,<=50K +59,Local-gov,171328,HS-grad,9,Separated,Protective-serv,Other-relative,Black,Female,0,2339,40,United-States,<=50K +45,Private,199832,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,15,United-States,<=50K +64,Private,251292,5th-6th,3,Separated,Other-service,Other-relative,White,Female,0,0,20,Cuba,<=50K +61,Private,122246,12th,8,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +42,Private,190767,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,278736,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +53,Private,124963,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,167476,11th,7,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,7,United-States,<=50K +34,Local-gov,246104,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K +41,Private,171615,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,48,United-States,<=50K +67,Private,264095,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,9386,0,24,Cuba,>50K +46,Private,177114,Assoc-acdm,12,Widowed,Prof-specialty,Unmarried,White,Female,0,0,27,United-States,<=50K +32,Private,146154,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +41,Private,198196,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,79712,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,154785,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +33,Private,182423,HS-grad,9,Divorced,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K +20,?,347292,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,32,United-States,<=50K +34,Private,118584,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,219835,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,?,<=50K +17,?,148769,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +45,Private,197418,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,48,United-States,<=50K +21,Private,253190,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,192273,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,129573,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,United-States,<=50K +17,Private,173807,11th,7,Never-married,Craft-repair,Own-child,White,Female,0,0,15,United-States,<=50K +35,Private,217893,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +38,Private,102938,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Local-gov,407495,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,>50K +25,Private,50053,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,Japan,<=50K +57,Private,233382,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,Cuba,<=50K +32,Private,270968,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +39,Local-gov,272166,Bachelors,13,Separated,Prof-specialty,Not-in-family,Black,Male,0,0,30,United-States,<=50K +23,Private,199915,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +21,Private,305781,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,45,United-States,<=50K +47,Private,107682,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K +25,Private,188507,7th-8th,4,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,Dominican-Republic,<=50K +18,?,28311,11th,7,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +41,Federal-gov,197069,Some-college,10,Married-spouse-absent,Adm-clerical,Not-in-family,Black,Male,4650,0,40,United-States,<=50K +19,Private,177839,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +24,Private,77665,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,<=50K +57,Private,127728,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +51,?,172175,Doctorate,16,Never-married,?,Not-in-family,White,Male,0,2824,40,United-States,>50K +32,Private,106742,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +28,Self-emp-not-inc,192838,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +40,Private,79531,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,>50K +21,State-gov,337766,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +45,Self-emp-not-inc,33234,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +17,?,34088,12th,8,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K +55,Private,176904,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +42,Private,172148,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +49,Private,199058,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K +38,Private,48093,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,143664,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,168337,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K +43,Private,195212,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,?,<=50K +39,Private,230329,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Canada,>50K +42,Private,376072,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K +32,Private,430175,HS-grad,9,Divorced,Craft-repair,Other-relative,Black,Female,0,0,50,United-States,<=50K +44,Federal-gov,240628,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,2354,0,40,United-States,<=50K +50,Self-emp-inc,158294,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,80,United-States,>50K +55,Private,28735,HS-grad,9,Divorced,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,45,United-States,<=50K +37,Private,167482,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +59,Private,113203,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Private,103948,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,310525,12th,8,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,32,United-States,<=50K +35,Private,105138,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +44,Private,153489,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +57,State-gov,254949,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +31,Private,118149,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +18,Private,267965,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K +43,Private,50646,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K +33,Private,147700,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,<=50K +18,Private,446771,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K +47,Private,168262,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +53,Private,117058,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +59,Self-emp-not-inc,140957,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,>50K +35,Private,186126,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,?,<=50K +49,Private,268234,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,485117,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,31350,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,60,England,<=50K +36,State-gov,210830,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K +29,Private,196420,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +52,Private,172165,10th,6,Divorced,Other-service,Other-relative,White,Female,0,0,25,United-States,<=50K +50,Self-emp-not-inc,186565,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +22,Private,119359,Bachelors,13,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +44,Self-emp-not-inc,109684,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,169589,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +49,Private,125421,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +31,Private,500002,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,Mexico,<=50K +33,Private,224141,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,113290,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,15,United-States,<=50K +62,?,123992,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,58098,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,1974,40,United-States,<=50K +46,?,37672,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,15,United-States,<=50K +55,Private,198145,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +49,Federal-gov,35406,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,20,United-States,<=50K +22,Private,199419,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +43,Private,145441,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K +58,Private,238438,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,<=50K +48,State-gov,212954,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +21,Private,56582,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K +67,Local-gov,176931,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +39,Self-emp-not-inc,188571,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +52,Federal-gov,312500,Assoc-voc,11,Divorced,Farming-fishing,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,278404,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Self-emp-not-inc,114225,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K +18,Private,184016,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +41,Local-gov,183009,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K +59,Private,205759,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +23,Private,462294,Assoc-acdm,12,Never-married,Other-service,Own-child,Black,Male,0,0,44,United-States,<=50K +42,Private,102085,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +54,Self-emp-not-inc,83311,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,>50K +39,Private,248694,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +57,Local-gov,190747,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,162988,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +31,Self-emp-not-inc,156890,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,310380,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,Black,Female,0,0,45,United-States,<=50K +35,Private,172186,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,311497,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Self-emp-inc,443508,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +31,Private,152156,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +46,Private,155890,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +38,State-gov,312528,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,37,United-States,<=50K +51,Private,282744,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Canada,<=50K +27,Private,205145,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +33,?,119918,Bachelors,13,Never-married,?,Not-in-family,Black,Male,0,0,45,?,<=50K +22,Private,401451,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,>50K +72,?,173427,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,Cuba,<=50K +25,Private,189027,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +58,Self-emp-not-inc,35551,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K +23,Private,42706,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +63,Private,106910,5th-6th,3,Widowed,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,19,Philippines,<=50K +23,Private,53245,9th,5,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Private,221672,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +75,Private,71898,Preschool,1,Never-married,Priv-house-serv,Not-in-family,Asian-Pac-Islander,Female,0,0,48,Philippines,<=50K +52,Private,222107,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K +69,Private,277588,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,10,United-States,<=50K +52,Private,178983,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +40,Federal-gov,391744,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +34,Private,418020,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +21,State-gov,39236,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,8,United-States,<=50K +30,Private,86808,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K +46,Private,147640,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,1902,40,United-States,<=50K +21,Private,184756,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K +44,Private,191256,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +51,State-gov,105943,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,3908,0,40,United-States,<=50K +40,Private,101272,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K +33,State-gov,175023,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,37,United-States,<=50K +22,Self-emp-not-inc,357612,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +23,Private,82777,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K +75,Self-emp-not-inc,218521,Some-college,10,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +55,Private,179534,11th,7,Widowed,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +24,?,33339,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +45,Private,148549,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,27828,0,56,United-States,>50K +31,Private,198069,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K +49,Private,236586,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +26,Local-gov,167261,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +61,Private,160942,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,3103,0,50,United-States,<=50K +44,Private,107584,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,3908,0,50,United-States,<=50K +28,Local-gov,251854,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +79,?,163140,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +51,Private,302579,HS-grad,9,Divorced,Other-service,Other-relative,Black,Female,0,0,30,United-States,<=50K +44,Self-emp-inc,64632,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +24,Private,83141,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Self-emp-inc,326048,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +36,Private,83471,HS-grad,9,Widowed,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K +23,Private,170070,12th,8,Never-married,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K +25,Private,207875,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +48,Private,119722,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,8,United-States,<=50K +18,Private,335665,11th,7,Never-married,Other-service,Other-relative,Black,Female,0,0,24,United-States,<=50K +25,Private,212522,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +19,Private,42069,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,2176,0,45,United-States,<=50K +26,?,131777,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,2002,40,United-States,<=50K +33,Private,236396,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K +42,Private,159911,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,133833,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,226947,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +33,Private,174201,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +34,Self-emp-not-inc,49707,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +33,Private,201988,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +62,Self-emp-not-inc,162347,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,United-States,>50K +30,Private,182833,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K +22,Private,383603,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,70466,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,184846,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,60,United-States,<=50K +25,Private,176756,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,112512,HS-grad,9,Widowed,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +28,Private,137296,Assoc-acdm,12,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +28,Private,37821,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K +25,Private,295108,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,25,United-States,<=50K +40,Private,408717,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +35,Private,255635,9th,5,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K +48,Self-emp-not-inc,177783,7th-8th,4,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +63,Self-emp-not-inc,179400,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2290,0,20,United-States,<=50K +31,Private,240283,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +36,Private,410034,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +39,Private,180667,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,196332,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +32,Local-gov,159187,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +46,Private,225065,Preschool,1,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Mexico,<=50K +19,Private,178147,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +30,Private,272669,Some-college,10,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +35,Private,347491,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,?,146399,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,55,United-States,<=50K +33,Private,75167,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +25,Private,133373,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +64,Local-gov,84737,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,35,United-States,>50K +18,Private,96483,HS-grad,9,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K +59,Private,368005,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,State-gov,36032,HS-grad,9,Divorced,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K +30,Private,174215,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,15,United-States,<=50K +24,Private,228772,5th-6th,3,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,Mexico,<=50K +22,Private,242912,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +49,Self-emp-inc,86701,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,56,United-States,>50K +35,Private,166549,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +48,Local-gov,121622,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,1380,40,United-States,<=50K +18,Private,201613,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +35,Private,29874,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,168138,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,162404,Bachelors,13,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,60,United-States,<=50K +21,?,162160,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K +26,Private,139116,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,50,United-States,<=50K +44,Private,192381,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,40,United-States,>50K +39,Private,370585,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +40,State-gov,151038,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +70,Self-emp-not-inc,36311,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,35,United-States,>50K +34,Private,271933,Masters,14,Never-married,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +34,Private,182401,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +66,Private,234743,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,182140,HS-grad,9,Separated,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K +61,Self-emp-not-inc,215591,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K +59,Self-emp-not-inc,96459,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,?,205562,Masters,14,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +47,Private,188081,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +33,State-gov,121245,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +18,Private,127273,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,20,United-States,<=50K +25,Private,114345,9th,5,Never-married,Craft-repair,Unmarried,White,Male,914,0,40,United-States,<=50K +22,Private,341227,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,20,United-States,<=50K +40,Local-gov,166893,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K +68,?,65730,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K +30,Private,145231,Assoc-acdm,12,Divorced,Adm-clerical,Own-child,White,Female,0,1762,40,United-States,<=50K +73,Self-emp-not-inc,102510,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,6418,0,99,United-States,>50K +45,Self-emp-not-inc,285335,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,10,United-States,<=50K +23,Private,177087,11th,7,Never-married,Adm-clerical,Unmarried,Black,Male,0,0,35,United-States,<=50K +40,Private,240504,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +39,Private,218490,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K +23,Private,384651,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,189551,HS-grad,9,Divorced,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +53,Private,194791,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +24,Private,194630,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,35,United-States,<=50K +53,Private,177647,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,51620,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +34,Private,251421,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,180477,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,<=50K +40,State-gov,391736,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,State-gov,170091,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,6,United-States,<=50K +36,Private,175360,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,13550,0,50,United-States,>50K +35,Private,276153,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,4650,0,40,United-States,<=50K +53,Federal-gov,105788,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,50,United-States,>50K +42,Local-gov,248476,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,>50K +32,Private,168443,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +33,Private,120201,HS-grad,9,Divorced,Adm-clerical,Own-child,Other,Female,0,0,65,United-States,<=50K +59,Private,114678,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,60,United-States,<=50K +36,Private,167440,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,<=50K +37,Self-emp-not-inc,265266,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Cuba,>50K +31,Private,212235,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +46,Private,44671,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +44,State-gov,87282,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,38,United-States,<=50K +27,Private,112754,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,60,United-States,>50K +29,Self-emp-not-inc,322238,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,65382,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +62,Self-emp-not-inc,115176,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K +48,Self-emp-not-inc,162236,Masters,14,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,?,>50K +42,Private,409902,HS-grad,9,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,25,United-States,<=50K +60,Local-gov,204062,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K +35,Private,283305,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,435638,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Self-emp-inc,114733,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,36,United-States,<=50K +22,Private,162343,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,22,United-States,<=50K +18,?,195981,HS-grad,9,Widowed,?,Own-child,White,Male,0,0,40,United-States,<=50K +44,Private,79531,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +44,State-gov,395078,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Local-gov,159641,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,625,40,United-States,<=50K +21,Private,159567,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K +49,Private,133917,Assoc-voc,11,Never-married,Sales,Other-relative,Black,Male,0,0,40,?,<=50K +52,Private,196894,11th,7,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +39,Local-gov,132879,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +23,Private,190290,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +54,Private,102828,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,49,United-States,<=50K +31,Private,128493,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +30,State-gov,290677,Masters,14,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,20,United-States,<=50K +21,Private,283757,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +38,Local-gov,169104,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +51,Private,171409,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +34,Self-emp-not-inc,319165,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +22,Private,203182,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K +20,?,211968,Some-college,10,Never-married,?,Own-child,White,Female,0,0,45,United-States,<=50K +26,Private,215384,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1974,55,United-States,<=50K +26,Private,166666,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +41,Private,156566,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +35,Private,140564,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +27,Local-gov,322208,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +65,Private,420277,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,123430,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,Mexico,<=50K +45,Self-emp-inc,151584,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +37,Self-emp-not-inc,348960,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +47,Private,168232,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,45,United-States,>50K +47,Self-emp-inc,201699,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +33,Private,511517,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,118001,10th,6,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +38,Private,193961,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +21,Private,32732,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,223548,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K +33,Private,389932,HS-grad,9,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,55,United-States,<=50K +29,Private,102345,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,52,United-States,<=50K +41,Private,107584,Some-college,10,Separated,Transport-moving,Not-in-family,White,Male,0,0,35,United-States,<=50K +20,?,34321,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +20,State-gov,39478,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,54,United-States,<=50K +34,Self-emp-not-inc,276221,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +78,Self-emp-inc,385242,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,9386,0,45,United-States,>50K +46,Private,235646,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +40,Private,123306,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +59,Private,38573,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +23,Private,216889,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,386705,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,24,United-States,<=50K +47,Self-emp-not-inc,249585,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +31,Local-gov,47276,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,38,United-States,>50K +42,Self-emp-not-inc,162758,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,56,United-States,>50K +46,Local-gov,146497,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,190765,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,44,United-States,<=50K +21,Private,186314,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,213615,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +38,Private,162322,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +44,State-gov,115932,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +61,Self-emp-not-inc,392694,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +38,State-gov,143517,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +50,Self-emp-inc,123429,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Italy,>50K +53,Private,254285,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +37,Private,238311,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,36,United-States,>50K +49,Private,281647,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +30,Private,75167,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +19,Private,252862,Assoc-voc,11,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +59,Self-emp-not-inc,199240,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,20,England,<=50K +43,Private,145762,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +29,Local-gov,142443,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +49,Private,99361,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +36,Private,105138,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +26,Private,183171,11th,7,Never-married,Other-service,Own-child,Black,Male,1055,0,32,United-States,<=50K +18,Private,151866,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +60,Private,297261,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K +43,Private,148998,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,143046,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +41,Private,183850,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +55,Self-emp-not-inc,248841,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K +31,Private,198452,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +20,Private,161092,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,112497,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +51,Self-emp-not-inc,155963,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +28,Private,147560,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1902,55,United-States,>50K +24,Private,376393,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,State-gov,151790,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +21,Private,438139,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +20,?,163911,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,214896,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +30,Private,102821,Some-college,10,Married-civ-spouse,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +44,Self-emp-not-inc,90021,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +45,Private,77085,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,>50K +42,Private,158555,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +36,?,28160,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,462255,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,144949,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,116207,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K +17,Private,187308,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +45,Local-gov,189890,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,185267,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,63434,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,35,United-States,<=50K +45,Private,1366120,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,8,United-States,<=50K +41,Self-emp-inc,495061,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,70,United-States,>50K +34,Local-gov,134886,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,1740,35,United-States,<=50K +33,Private,129707,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,>50K +17,?,181337,10th,6,Never-married,?,Own-child,Other,Female,0,0,20,United-States,<=50K +51,Private,74784,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K +33,Private,44392,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +23,Private,406641,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Female,0,0,18,United-States,<=50K +52,Private,89041,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,>50K +36,?,139770,Some-college,10,Divorced,?,Own-child,White,Female,0,0,32,United-States,<=50K +25,Private,180212,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +38,?,338212,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K +64,Self-emp-not-inc,178472,9th,5,Separated,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +42,Private,384236,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +29,Private,168470,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +26,Local-gov,80485,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K +38,?,181705,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K +24,Private,216867,10th,6,Never-married,Other-service,Other-relative,White,Male,0,0,30,Mexico,<=50K +43,Federal-gov,214541,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,Private,383239,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K +28,Private,70034,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +18,?,266287,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K +44,Private,128485,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +81,?,89015,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,18,United-States,<=50K +55,Private,106740,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +52,Private,167527,11th,7,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Private,19302,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +35,Private,210150,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Private,179824,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,36,United-States,<=50K +27,Private,420351,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +23,State-gov,215443,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,15,United-States,<=50K +26,Private,116044,11th,7,Separated,Craft-repair,Other-relative,White,Male,2907,0,50,United-States,<=50K +33,Private,215306,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Cuba,<=50K +39,Private,108069,Some-college,10,Never-married,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,260046,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,31053,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +18,Private,362302,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +54,Private,87205,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K +45,Private,191703,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +43,Private,242968,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K +23,Local-gov,185575,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +37,Private,177858,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,2174,0,40,United-States,<=50K +33,Self-emp-not-inc,73585,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +45,Private,301802,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +32,Self-emp-inc,108467,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K +47,Private,431245,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,157217,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +22,Private,204935,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +17,Private,277112,11th,7,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +64,Self-emp-inc,59145,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,United-States,>50K +30,Local-gov,159773,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K +51,Private,118793,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,>50K +26,State-gov,152457,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,187901,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,1504,40,United-States,<=50K +50,Private,266529,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,?,256179,Some-college,10,Never-married,?,Own-child,White,Male,594,0,10,United-States,<=50K +63,Private,113756,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +48,Private,83444,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,>50K +37,Self-emp-inc,30529,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2415,50,United-States,>50K +51,?,146325,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,28,United-States,<=50K +29,Private,198825,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K +69,Private,71489,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K +56,Private,111218,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +26,?,221626,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +39,Local-gov,203482,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +42,Self-emp-not-inc,352196,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,22,United-States,<=50K +41,Federal-gov,355918,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +45,Private,168262,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K +23,Private,182615,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,211482,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +34,Private,386370,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +31,?,85077,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,1902,20,United-States,>50K +46,Local-gov,180010,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +46,Without-pay,142210,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,25,United-States,<=50K +33,Private,415706,5th-6th,3,Separated,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K +46,Private,237731,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,343506,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +49,Local-gov,116163,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,France,<=50K +66,?,206560,HS-grad,9,Widowed,?,Not-in-family,Other,Female,0,0,35,Puerto-Rico,<=50K +55,State-gov,153451,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,1887,40,United-States,>50K +35,Private,301862,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,33429,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,169583,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +47,Private,146497,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,16,Germany,<=50K +48,Self-emp-not-inc,383384,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +27,Private,240809,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,56,United-States,<=50K +38,Private,203763,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,218785,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +23,?,381741,Assoc-acdm,12,Never-married,?,Own-child,White,Male,0,1721,20,United-States,<=50K +17,Private,244602,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +44,State-gov,175696,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +26,Private,101027,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +37,Private,99270,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Female,0,0,40,United-States,<=50K +49,Private,224393,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +42,Private,192381,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +26,Private,131686,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +73,?,84390,Assoc-voc,11,Married-spouse-absent,?,Not-in-family,White,Female,0,0,32,United-States,<=50K +44,Private,277533,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,72880,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,?,149646,Some-college,10,Divorced,?,Own-child,White,Female,0,0,20,?,<=50K +49,Private,209057,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,Private,108909,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +42,Private,74949,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,235639,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,State-gov,137421,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,37,Hong,<=50K +53,Private,122412,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,434894,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +35,Private,379959,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,95885,11th,7,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,13550,0,60,United-States,>50K +39,Private,225330,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,50,Poland,>50K +40,Private,32627,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +28,Private,65171,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,193380,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,184823,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,81259,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K +35,Private,301369,12th,8,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +21,Private,190968,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +71,Private,196610,7th-8th,4,Widowed,Exec-managerial,Not-in-family,White,Male,6097,0,40,United-States,>50K +31,Private,330715,HS-grad,9,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Local-gov,77698,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +35,Private,139770,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,6849,0,40,United-States,<=50K +24,Private,109053,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,25,United-States,<=50K +69,Private,312653,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K +35,Self-emp-not-inc,193260,Masters,14,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K +35,Private,331831,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,54202,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,10520,0,50,United-States,>50K +51,Private,163948,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +48,Private,36228,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,44,United-States,<=50K +49,Private,160167,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,178356,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,2407,0,99,United-States,<=50K +43,Private,104196,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,288353,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +35,Private,187693,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,114988,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Local-gov,117392,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,121124,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +53,Private,195638,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,245053,Some-college,10,Divorced,Handlers-cleaners,Own-child,White,Male,0,1504,40,United-States,<=50K +49,State-gov,216734,Prof-school,15,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,?,197827,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,49156,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,126133,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +24,Private,304463,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K +34,Private,214288,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,274969,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Female,0,0,42,United-States,<=50K +23,Private,189072,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Female,0,0,45,United-States,<=50K +46,Private,128047,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K +20,Private,210338,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +63,Private,122442,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Self-emp-not-inc,167081,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,3103,0,50,United-States,<=50K +33,Private,251421,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +24,Federal-gov,219519,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +36,Private,33355,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,45,United-States,<=50K +25,Private,441210,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +54,Local-gov,178356,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +50,Self-emp-not-inc,231196,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +58,State-gov,40925,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,270587,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,England,<=50K +40,Private,219266,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +27,Private,114967,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,344492,HS-grad,9,Separated,Sales,Own-child,White,Female,0,0,26,United-States,<=50K +22,Private,369387,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +80,Self-emp-not-inc,101771,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K +52,Private,137428,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +40,Federal-gov,121012,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,48,United-States,>50K +48,Private,139290,10th,6,Separated,Machine-op-inspct,Own-child,White,Female,0,0,48,United-States,<=50K +62,Private,199193,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,25,United-States,<=50K +32,Private,286689,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,42,United-States,>50K +21,?,123727,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,28,United-States,<=50K +58,Federal-gov,208640,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +37,Self-emp-not-inc,120130,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +29,Self-emp-inc,241431,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +25,Private,120450,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,152240,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +50,Private,200960,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +30,Federal-gov,314310,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +30,Local-gov,44566,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,<=50K +59,Private,21792,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,10,United-States,<=50K +36,Private,182074,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,221850,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Ecuador,>50K +42,Private,240628,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +34,Private,318641,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,45,United-States,>50K +27,Self-emp-not-inc,140863,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,129150,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +41,Private,143003,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,7298,0,60,India,>50K +34,Self-emp-not-inc,198664,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,15024,0,70,South,>50K +41,Private,244945,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,138514,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +18,Private,92008,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Female,0,0,28,United-States,<=50K +23,Private,207415,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,15,United-States,<=50K +26,Private,188626,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +38,Private,257250,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,60,United-States,>50K +27,Private,133696,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,88,United-States,<=50K +21,Private,195919,10th,6,Never-married,Handlers-cleaners,Not-in-family,Other,Male,0,0,40,Dominican-Republic,<=50K +41,Private,119266,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,140474,Assoc-acdm,12,Divorced,Craft-repair,Own-child,Amer-Indian-Eskimo,Male,0,0,35,United-States,<=50K +25,Private,69739,10th,6,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,293176,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +23,Private,217961,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K +40,Local-gov,163725,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +23,Private,419394,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,9,United-States,<=50K +18,Private,220836,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +37,Private,334291,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +58,Private,298601,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,3781,0,40,United-States,<=50K +36,Private,200360,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,203482,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +25,Private,99126,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,40,United-States,>50K +62,Private,109190,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +34,Private,34848,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,4064,0,40,United-States,<=50K +27,Private,29732,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,4865,0,36,United-States,<=50K +23,Private,87867,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +55,Private,123515,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,175935,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,229456,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,38,United-States,<=50K +44,Private,184105,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,4386,0,40,United-States,>50K +42,Local-gov,99554,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,190227,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +25,Private,29020,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,45,United-States,<=50K +31,Private,306459,1st-4th,2,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,35,Honduras,<=50K +42,Private,193995,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K +26,Private,105059,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +62,Private,71751,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,98,United-States,>50K +28,Private,176683,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,50,United-States,>50K +34,Private,342709,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,53838,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +45,Local-gov,209482,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +44,Private,214242,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +47,?,34458,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K +35,Private,100375,Some-college,10,Married-spouse-absent,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,149949,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,189762,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,56,United-States,<=50K +46,Private,79874,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,53,United-States,>50K +66,Self-emp-not-inc,104576,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,8,United-States,>50K +34,State-gov,355700,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +26,Private,213625,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,204984,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +30,Private,144593,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,?,<=50K +23,Private,217169,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +46,Private,184883,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +44,?,136419,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,57758,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,68,United-States,>50K +54,Self-emp-not-inc,30908,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +71,Private,217971,9th,5,Widowed,Sales,Unmarried,White,Female,0,0,13,United-States,<=50K +51,Private,160703,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +32,Private,142675,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +75,?,248833,HS-grad,9,Married-AF-spouse,?,Wife,White,Female,2653,0,14,United-States,<=50K +57,Private,171242,11th,7,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Canada,<=50K +34,Private,376979,9th,5,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,175935,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,14084,0,40,United-States,>50K +21,Private,277530,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +50,Private,104501,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +32,Private,94041,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,Ireland,<=50K +37,Local-gov,593246,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +19,Private,121074,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,99,United-States,<=50K +64,Private,192596,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +17,Private,142457,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K +37,Private,136028,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,216145,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,4650,0,45,United-States,<=50K +20,Private,157894,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K +39,Self-emp-not-inc,164593,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,4787,0,40,United-States,>50K +18,Private,252993,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,Columbia,<=50K +42,Private,145711,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K +43,Private,358199,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,3103,0,40,United-States,>50K +42,Private,219591,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,>50K +53,Local-gov,205005,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,60,United-States,>50K +52,Private,221936,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,120914,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +77,Self-emp-inc,155761,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,8,United-States,<=50K +25,Private,195914,Some-college,10,Never-married,Sales,Own-child,Black,Female,3418,0,30,United-States,<=50K +38,Local-gov,236687,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,318036,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,53306,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +27,Private,174645,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +19,Private,321817,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +41,Private,206948,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +47,Federal-gov,402975,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K +72,?,289930,Bachelors,13,Separated,?,Not-in-family,White,Female,991,0,7,United-States,<=50K +42,Private,367049,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,4650,0,40,United-States,<=50K +36,Private,143486,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +42,Self-emp-inc,27187,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +24,Private,187717,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,378104,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,113870,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K +42,Private,252518,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +24,Private,326334,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +41,Private,279914,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +29,Private,320451,HS-grad,9,Never-married,Protective-serv,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +36,Private,207853,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +78,Self-emp-inc,237294,HS-grad,9,Widowed,Sales,Not-in-family,White,Male,0,0,45,United-States,>50K +43,Private,112181,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,1902,32,United-States,>50K +34,State-gov,259705,Some-college,10,Separated,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +20,?,117789,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +24,Private,449432,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Federal-gov,89083,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,59612,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K +21,Private,129980,9th,5,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,108233,Assoc-acdm,12,Separated,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +30,Private,342709,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,126675,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,141118,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,?,273701,Some-college,10,Never-married,?,Other-relative,Black,Male,34095,0,10,United-States,<=50K +46,Private,173243,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Local-gov,161092,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,209691,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,42,United-States,>50K +36,Private,89508,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +30,Private,399522,11th,7,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +60,State-gov,136939,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +56,Local-gov,264436,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,Private,199572,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +61,Federal-gov,28291,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +50,Private,215990,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +56,Self-emp-not-inc,179594,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K +61,Self-emp-inc,139391,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1902,35,United-States,>50K +45,Private,187370,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,7430,0,70,United-States,>50K +31,Private,473133,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,40,United-States,>50K +60,Self-emp-not-inc,205246,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Male,0,2559,50,United-States,>50K +26,Private,182308,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +56,Self-emp-not-inc,51662,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +45,Private,289468,11th,7,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,201954,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,>50K +45,Self-emp-not-inc,26781,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +58,Private,100960,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,203761,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,2354,0,40,United-States,<=50K +23,Private,213811,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +49,Private,124672,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +19,Private,219300,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +22,Private,270436,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,212619,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,193586,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,3908,0,40,United-States,<=50K +40,Private,84136,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K +55,Federal-gov,264834,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,State-gov,98995,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,278254,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +28,Private,167987,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +43,Federal-gov,72887,Bachelors,13,Married-spouse-absent,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +17,Private,176467,9th,5,Never-married,Transport-moving,Not-in-family,White,Male,0,0,20,United-States,<=50K +51,Self-emp-not-inc,85902,10th,6,Widowed,Transport-moving,Other-relative,White,Female,0,0,40,United-States,<=50K +37,Private,223433,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +54,Self-emp-inc,108435,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +24,Private,172496,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +35,Private,241998,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +48,Private,245948,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,2174,0,40,United-States,<=50K +23,Private,187513,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,440138,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,45,England,<=50K +24,Private,218215,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +50,Private,158948,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,3411,0,40,United-States,<=50K +34,Private,94413,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +45,Private,183598,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,192664,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,392812,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +21,Private,155818,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +32,Private,195000,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,308205,5th-6th,3,Never-married,Farming-fishing,Other-relative,White,Male,0,0,40,Mexico,<=50K +53,Private,104879,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +36,Private,152307,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,145964,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,97419,HS-grad,9,Married-civ-spouse,Protective-serv,Wife,Black,Female,0,0,40,United-States,<=50K +25,?,12285,Some-college,10,Never-married,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K +30,Private,263150,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,20,United-States,<=50K +49,?,189885,HS-grad,9,Widowed,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +23,Private,151888,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,254167,10th,6,Separated,Transport-moving,Own-child,White,Male,0,0,35,United-States,<=50K +45,Local-gov,331482,Assoc-acdm,12,Divorced,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +61,Local-gov,177189,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,<=50K +35,Private,186886,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,<=50K +20,Private,33221,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +27,Private,188171,10th,6,Never-married,Adm-clerical,Own-child,White,Male,0,0,60,United-States,<=50K +23,Private,209770,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,164488,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K +65,Local-gov,180869,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +25,Private,190350,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +49,Private,137192,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,1977,50,South,>50K +45,Private,204057,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,Germany,<=50K +46,Private,198774,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,323,45,United-States,<=50K +67,Private,134906,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K +40,Private,174515,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Private,259363,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +44,Self-emp-not-inc,201742,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,50,United-States,>50K +35,Private,209609,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +28,Private,185127,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,462838,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,48,United-States,<=50K +37,Private,176967,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +54,Private,284129,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +33,Federal-gov,37546,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +46,Private,116666,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,120724,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,40,United-States,<=50K +27,Private,314240,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,3325,0,40,United-States,<=50K +49,Private,423222,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +51,Private,201127,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +27,Private,202239,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,209629,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,165922,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +24,Private,133520,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +66,?,99888,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,176410,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,38,United-States,<=50K +35,Federal-gov,103214,Doctorate,16,Never-married,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,0,0,60,United-States,>50K +34,Private,122612,Bachelors,13,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,7688,0,50,Philippines,>50K +50,Private,226735,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,70,United-States,>50K +43,Self-emp-inc,151089,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +21,Private,244312,9th,5,Never-married,Craft-repair,Own-child,White,Male,0,0,30,El-Salvador,<=50K +33,Private,209317,9th,5,Never-married,Other-service,Not-in-family,White,Male,0,0,45,El-Salvador,<=50K +48,Private,99096,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,1590,38,United-States,<=50K +22,Private,374116,HS-grad,9,Never-married,Priv-house-serv,Own-child,White,Female,0,0,36,United-States,<=50K +29,Private,205249,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K +42,Self-emp-not-inc,326083,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +28,Self-emp-not-inc,183523,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Hungary,<=50K +36,Private,350783,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K +66,Local-gov,140849,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +44,Private,175943,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,<=50K +45,Local-gov,125933,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +49,Private,225124,HS-grad,9,Divorced,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +36,Private,272090,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,El-Salvador,<=50K +48,Private,40666,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K +19,Private,35245,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,167482,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +41,Private,204662,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +32,Private,291147,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +49,Private,179869,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +51,Self-emp-not-inc,205100,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +20,Private,352139,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,29,United-States,<=50K +39,Private,111268,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +38,Private,247111,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +19,Private,271446,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +29,Local-gov,132412,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +52,Self-emp-inc,74712,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +22,Private,94662,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K +44,Self-emp-inc,33126,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,<=50K +43,Private,133584,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Local-gov,103759,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,3942,0,40,United-States,<=50K +63,?,64448,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,374367,Assoc-voc,11,Separated,Sales,Not-in-family,Black,Male,0,0,44,United-States,<=50K +40,Private,179666,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,Canada,<=50K +18,Private,99219,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +57,Self-emp-inc,180211,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,Taiwan,>50K +54,Local-gov,219276,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +44,Private,150011,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +20,Private,231231,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +40,Private,182217,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Scotland,<=50K +29,Private,277342,Some-college,10,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +22,Private,140001,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,99651,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K +45,Private,223319,Some-college,10,Divorced,Sales,Own-child,White,Male,0,0,45,United-States,<=50K +52,Private,235307,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +57,Private,206343,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,2174,0,40,Cuba,<=50K +51,Local-gov,156003,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,529223,Bachelors,13,Never-married,Sales,Own-child,Black,Male,0,0,10,United-States,<=50K +22,Private,202871,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,44,United-States,<=50K +37,Private,58337,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +58,Federal-gov,298643,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +61,Private,191188,10th,6,Widowed,Farming-fishing,Unmarried,White,Male,0,0,20,United-States,<=50K +30,Private,96287,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +23,Private,104443,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +30,Private,323054,10th,6,Divorced,Other-service,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +18,Private,95917,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,Canada,<=50K +34,Private,238305,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,1628,12,?,<=50K +23,Private,49296,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K +23,Private,50953,Some-college,10,Never-married,Priv-house-serv,Own-child,White,Female,0,0,10,United-States,<=50K +57,Private,124507,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +58,Private,239523,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +59,Self-emp-not-inc,309124,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +27,Private,240172,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,105010,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,>50K +44,Local-gov,135056,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,16,?,<=50K +25,Private,178478,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +33,Private,23871,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +22,Private,362309,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +21,Private,257781,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,1719,30,United-States,<=50K +44,Private,175669,11th,7,Married-civ-spouse,Prof-specialty,Wife,White,Female,5178,0,36,United-States,>50K +50,Private,297906,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K +44,Private,230684,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +53,?,123011,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +41,Private,170866,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +54,Local-gov,182543,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K +60,Self-emp-not-inc,236470,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,33725,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K +27,Private,188941,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,3908,0,40,United-States,<=50K +43,Private,206878,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,60,United-States,<=50K +33,Local-gov,173806,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,190709,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K +41,Private,149102,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,Poland,<=50K +21,Private,25265,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +39,Private,100669,Some-college,10,Married-civ-spouse,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +27,Self-emp-inc,114158,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +50,Private,228057,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,54012,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +46,Federal-gov,219967,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +49,Private,239865,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +35,State-gov,119421,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,United-States,>50K +56,Self-emp-not-inc,220187,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,>50K +41,Local-gov,33068,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,1974,40,United-States,<=50K +41,Self-emp-not-inc,277783,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,2001,50,United-States,<=50K +42,Private,175515,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +58,Local-gov,271795,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,70055,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,352806,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,Mexico,<=50K +57,Private,266189,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,42,United-States,<=50K +49,Private,102945,7th-8th,4,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,173851,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,144092,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,198681,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K +33,Private,351810,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Mexico,<=50K +52,Private,180142,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K +37,Self-emp-inc,175360,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +30,Self-emp-inc,224498,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Self-emp-inc,154641,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,60,United-States,<=50K +54,Local-gov,152540,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,42,United-States,<=50K +52,Private,217663,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +22,Local-gov,138575,HS-grad,9,Never-married,Protective-serv,Unmarried,White,Male,0,0,56,United-States,<=50K +19,?,32477,Some-college,10,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +65,Private,101104,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,9386,0,10,United-States,>50K +32,Private,44677,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,456618,7th-8th,4,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,El-Salvador,<=50K +34,Private,227282,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,27624,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,55,United-States,<=50K +24,Private,281403,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,98,United-States,<=50K +63,Federal-gov,39181,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Female,0,2559,60,United-States,>50K +48,Private,377140,5th-6th,3,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,35,Nicaragua,<=50K +26,Private,299810,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +28,Private,181916,Some-college,10,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,237044,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,12,United-States,<=50K +57,Self-emp-inc,123053,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,15024,0,50,India,>50K +64,State-gov,269512,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,44767,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,50,United-States,>50K +28,Private,67218,7th-8th,4,Married-civ-spouse,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +34,Private,176992,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,43712,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,45,United-States,>50K +44,Private,379919,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +34,Private,104509,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,1639,0,20,United-States,<=50K +18,Private,212370,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K +36,Private,179666,12th,8,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,<=50K +73,Self-emp-not-inc,233882,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,2457,40,Vietnam,<=50K +24,Private,197387,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,Mexico,<=50K +29,Local-gov,220656,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +33,Private,181091,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +57,Federal-gov,135028,HS-grad,9,Separated,Adm-clerical,Other-relative,Black,Female,0,0,35,United-States,<=50K +41,Private,185057,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,?,<=50K +55,Private,106498,10th,6,Widowed,Transport-moving,Not-in-family,Black,Female,0,0,35,United-States,<=50K +21,Private,203003,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,223789,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +26,Private,184026,Some-college,10,Never-married,Prof-specialty,Not-in-family,Other,Male,0,0,50,United-States,<=50K +32,?,335427,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,>50K +40,Private,65866,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,213,40,United-States,<=50K +32,Private,372692,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,45607,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +59,State-gov,303176,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2179,40,United-States,<=50K +29,Private,138190,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,1138,40,United-States,<=50K +29,Self-emp-not-inc,212895,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,48,United-States,<=50K +59,Self-emp-inc,31359,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,80,United-States,>50K +58,Private,147989,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +47,Private,145290,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +44,Private,262684,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,1504,45,United-States,<=50K +31,Private,132601,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,30759,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +19,Private,319889,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +66,Private,29431,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +41,Private,111483,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +22,Private,184756,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +31,Private,651396,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,1594,30,United-States,<=50K +30,Private,187560,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,84848,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,16,United-States,<=50K +75,?,36243,Doctorate,16,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,State-gov,88913,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,36,United-States,<=50K +19,Private,73190,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +60,Private,132529,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,214542,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,217006,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,169785,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +30,Private,75573,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,Germany,<=50K +37,Private,239171,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +55,Self-emp-not-inc,53566,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K +20,Private,117109,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,24,United-States,<=50K +32,Private,398019,7th-8th,4,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,15,Mexico,<=50K +18,Private,114008,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +24,Private,204653,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +33,Local-gov,254935,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,<=50K +76,?,84755,Some-college,10,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K +57,Local-gov,198145,Masters,14,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,14,United-States,>50K +53,Private,174020,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,1876,38,United-States,<=50K +19,Private,451951,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Local-gov,172175,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +27,Private,209472,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +40,Private,336707,Assoc-voc,11,Separated,Craft-repair,Not-in-family,White,Female,0,0,60,United-States,<=50K +26,?,431861,10th,6,Separated,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Self-emp-inc,156728,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +39,Federal-gov,290321,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +49,State-gov,206577,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +28,Self-emp-not-inc,149324,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,7,United-States,<=50K +33,?,49593,Some-college,10,Married-civ-spouse,?,Wife,Black,Female,0,0,30,United-States,<=50K +50,Private,98975,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +28,Private,181659,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,50,United-States,<=50K +30,Private,174789,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,102308,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K +39,Private,184801,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +37,Private,176014,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +50,Private,256861,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,<=50K +37,Private,239397,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +26,Private,233777,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +55,Private,236520,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +46,Private,70754,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +32,Private,245378,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +26,Private,176729,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,>50K +32,Private,154120,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,40,United-States,>50K +43,Private,88913,Some-college,10,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Female,1055,0,40,United-States,<=50K +19,Private,517036,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,El-Salvador,<=50K +38,Private,436361,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,75,United-States,<=50K +38,Private,231037,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Mexico,<=50K +65,Private,209831,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +70,Self-emp-not-inc,143833,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2246,40,United-States,>50K +48,?,167381,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,25,United-States,<=50K +44,Private,215468,Bachelors,13,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,7,United-States,<=50K +32,Private,200700,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +30,Local-gov,191777,HS-grad,9,Never-married,Protective-serv,Own-child,Black,Female,0,0,40,United-States,<=50K +49,Federal-gov,195437,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,>50K +23,Private,149396,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +25,Private,104746,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,16,United-States,<=50K +19,Private,108147,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +27,Private,238859,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,State-gov,23157,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +38,Private,497788,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +42,Private,141558,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +33,Federal-gov,117963,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,38,United-States,<=50K +30,Private,232356,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +29,Private,157941,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,103642,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,169727,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,274731,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +30,Private,161572,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,45,United-States,<=50K +38,Private,48779,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +48,Private,141511,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +57,Private,314153,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,55,United-States,>50K +30,Private,168334,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K +42,Local-gov,267252,Masters,14,Separated,Exec-managerial,Unmarried,Black,Male,0,0,45,United-States,>50K +31,Self-emp-not-inc,312055,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +32,Private,207937,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,232653,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +63,Private,246841,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,154087,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,199011,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K +51,Self-emp-not-inc,205100,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,>50K +36,Private,177907,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,2176,0,20,?,<=50K +24,Private,50400,Some-college,10,Married-civ-spouse,Sales,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +41,Local-gov,97064,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,44,United-States,<=50K +21,Private,65038,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,292472,Some-college,10,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,1876,45,Cambodia,<=50K +17,Private,225211,9th,5,Never-married,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K +45,Private,320192,1st-4th,2,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +39,State-gov,119421,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,625,35,United-States,<=50K +21,Private,83580,Some-college,10,Never-married,Prof-specialty,Own-child,Amer-Indian-Eskimo,Female,0,0,4,United-States,<=50K +29,Private,133696,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,8614,0,45,United-States,>50K +39,Private,141584,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,2444,45,United-States,>50K +42,Private,529216,HS-grad,9,Separated,Transport-moving,Other-relative,Black,Male,0,0,40,United-States,<=50K +22,Private,390817,5th-6th,3,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K +21,?,85733,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +59,Private,155976,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,221172,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +45,Private,270842,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,82622,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +58,Private,371064,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K +45,Private,54744,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,40,United-States,>50K +29,Private,22641,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,45,United-States,<=50K +21,Private,218957,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K +51,Private,441637,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +34,Local-gov,143699,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +40,Private,183096,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +45,Private,97176,11th,7,Divorced,Adm-clerical,Unmarried,White,Female,0,0,16,United-States,<=50K +38,Self-emp-not-inc,122493,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K +22,Private,311376,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +37,Private,78928,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,3137,0,40,United-States,<=50K +62,Private,123582,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Federal-gov,174215,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +36,Private,183902,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,4,United-States,>50K +43,Private,247880,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,256636,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +33,?,152875,Bachelors,13,Married-civ-spouse,?,Wife,Asian-Pac-Islander,Female,0,0,40,China,<=50K +28,Private,22422,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,55,United-States,<=50K +49,?,178215,Some-college,10,Widowed,?,Unmarried,White,Female,0,0,28,United-States,<=50K +47,Local-gov,194360,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,7,United-States,>50K +59,Private,247187,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,63921,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,224889,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +29,Self-emp-not-inc,178564,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,<=50K +57,Private,47619,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +41,Private,92775,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +37,Private,50837,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +20,Local-gov,235894,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +44,Private,244974,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +20,Local-gov,526734,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +38,Self-emp-not-inc,243484,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,28,United-States,>50K +23,Private,201664,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K +24,Private,234640,HS-grad,9,Married-spouse-absent,Sales,Own-child,White,Female,0,0,36,United-States,<=50K +46,Private,268022,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +32,Local-gov,223267,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +21,Self-emp-not-inc,99199,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,137076,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,115411,Some-college,10,Divorced,Sales,Own-child,White,Male,2174,0,45,United-States,<=50K +51,Private,313146,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +69,Self-emp-not-inc,29980,7th-8th,4,Never-married,Farming-fishing,Other-relative,White,Male,1848,0,10,United-States,<=50K +39,Self-emp-inc,543042,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,50,United-States,>50K +43,Private,271807,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Federal-gov,97934,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,5178,0,40,United-States,>50K +43,Private,191196,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,264627,11th,7,Divorced,Exec-managerial,Unmarried,White,Female,0,0,84,United-States,<=50K +32,Private,183801,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,209227,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,21,United-States,<=50K +64,Private,216208,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,377095,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +44,Private,317535,1st-4th,2,Married-civ-spouse,Protective-serv,Other-relative,White,Male,0,0,40,Mexico,<=50K +40,Private,247880,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +21,Private,152246,Some-college,10,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +23,Private,428299,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,161708,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +19,Private,167859,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +61,Private,85194,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,25,United-States,<=50K +47,Self-emp-inc,119471,7th-8th,4,Never-married,Craft-repair,Not-in-family,Other,Male,0,0,40,?,<=50K +39,Private,117683,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +51,Private,139347,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,40,United-States,>50K +25,Private,427744,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,122116,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +34,State-gov,227931,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +54,Self-emp-not-inc,226497,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,83783,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +28,Private,197113,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Other,Male,0,0,50,Puerto-Rico,<=50K +33,Private,204742,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K +63,?,331527,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,14,United-States,<=50K +31,Private,213179,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +70,Self-emp-inc,188260,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,16,United-States,<=50K +43,Private,298161,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Nicaragua,<=50K +36,Private,143774,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,12,United-States,>50K +50,Local-gov,139296,11th,7,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +21,Private,152389,Some-college,10,Never-married,Other-service,Not-in-family,Black,Female,0,0,30,United-States,<=50K +31,Private,309974,Some-college,10,Separated,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +19,?,37085,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +39,Private,270059,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +29,Private,130045,7th-8th,4,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +39,Private,188038,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,Private,168203,7th-8th,4,Never-married,Farming-fishing,Other-relative,Other,Male,0,0,40,Mexico,<=50K +46,Private,171807,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +62,Private,186696,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,177531,10th,6,Divorced,Other-service,Unmarried,Black,Female,0,0,23,United-States,<=50K +28,Private,115464,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +19,Private,501144,Some-college,10,Never-married,Sales,Other-relative,Black,Female,0,0,40,United-States,<=50K +61,Local-gov,180079,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,4064,0,40,United-States,<=50K +18,Private,205894,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,?,<=50K +39,Self-emp-not-inc,218490,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,50,?,>50K +24,Local-gov,203924,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,<=50K +38,Private,91857,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,United-States,<=50K +38,Private,229700,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K +17,Private,158704,10th,6,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +28,Private,190911,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,139176,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,8,United-States,<=50K +61,Private,119684,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,20,United-States,>50K +69,Private,124930,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2267,40,United-States,<=50K +19,Private,168693,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +26,Private,250038,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +34,Self-emp-inc,353927,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +70,Private,216390,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,2653,0,40,United-States,<=50K +21,Private,230248,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +43,Private,117728,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +52,Private,115851,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,193335,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +21,Private,203894,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +53,Self-emp-not-inc,100109,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K +55,State-gov,157639,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +46,Self-emp-inc,235320,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K +36,Private,127686,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,37,United-States,<=50K +39,Private,28572,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,48,United-States,<=50K +78,?,91534,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,3,United-States,<=50K +30,Private,184687,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K +22,Private,267945,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K +43,Private,131899,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +36,Private,192614,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,56,United-States,<=50K +36,Private,186808,Bachelors,13,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,0,40,United-States,>50K +50,Private,44116,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Federal-gov,46442,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,0,0,35,United-States,<=50K +46,Federal-gov,78022,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +24,Private,417668,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +41,Private,223763,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +68,Private,223851,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,24,United-States,<=50K +38,Local-gov,115634,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,114459,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +41,Private,197093,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,20,United-States,<=50K +31,Self-emp-not-inc,357145,Doctorate,16,Never-married,Prof-specialty,Own-child,White,Female,0,0,48,United-States,<=50K +29,Private,59231,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K +26,Private,292303,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +51,Private,122288,Some-college,10,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,36,United-States,<=50K +26,Federal-gov,52322,Bachelors,13,Never-married,Tech-support,Not-in-family,Other,Male,0,0,60,United-States,<=50K +27,Local-gov,105830,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +36,Private,107125,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K +28,Federal-gov,281860,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Private,283320,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,State-gov,26598,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,220783,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +21,?,121694,7th-8th,4,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +53,Private,208302,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,34,United-States,<=50K +34,Local-gov,172664,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,54611,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +64,Private,631947,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,394484,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +25,?,239120,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,13,United-States,<=50K +38,Federal-gov,37683,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,99999,0,57,Canada,>50K +47,Local-gov,193012,Masters,14,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,50,United-States,>50K +48,Private,143098,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1902,40,China,>50K +57,Private,84888,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +37,Private,188503,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +37,Private,337778,11th,7,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,94432,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,>50K +32,Private,168906,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Private,116143,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,128272,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,14,United-States,<=50K +64,Federal-gov,301383,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,9386,0,45,United-States,>50K +46,Private,174995,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +24,State-gov,289909,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,154641,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +23,Private,209034,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,3942,0,40,United-States,<=50K +30,Private,203488,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K +34,Private,141118,Masters,14,Divorced,Prof-specialty,Own-child,White,Female,0,0,60,United-States,>50K +30,Private,169589,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,137645,Bachelors,13,Never-married,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K +58,Local-gov,489085,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K +32,Private,36302,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +37,Private,253420,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K +35,Private,269300,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +18,Private,282609,5th-6th,3,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,30,Honduras,<=50K +46,Private,346978,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +71,Private,182395,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,11678,0,45,United-States,>50K +44,Private,205051,10th,6,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Private,128736,10th,6,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,236110,12th,8,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Cuba,>50K +38,Private,312271,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +52,Private,126978,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,40,China,<=50K +47,Private,204692,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,195956,Bachelors,13,Divorced,Tech-support,Unmarried,White,Female,0,0,35,United-States,<=50K +59,State-gov,202682,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,231912,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,37,United-States,<=50K +44,Local-gov,24982,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +76,Private,278938,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +50,Local-gov,36489,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Local-gov,154874,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,74581,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +27,Private,311446,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,5178,0,40,United-States,>50K +37,Self-emp-inc,162164,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,239708,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +49,Self-emp-not-inc,162856,Some-college,10,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +48,Self-emp-inc,85109,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +49,Private,169042,HS-grad,9,Separated,Prof-specialty,Unmarried,White,Female,0,625,40,Puerto-Rico,<=50K +22,Private,436798,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,345363,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,England,<=50K +36,Private,49837,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,?,296516,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K +30,State-gov,180283,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +40,Local-gov,95639,HS-grad,9,Never-married,Craft-repair,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +42,Private,33155,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +56,Private,329059,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Italy,>50K +55,Private,24694,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,443855,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +52,?,294691,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,301867,Some-college,10,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,35,United-States,<=50K +55,Private,226875,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K +47,Private,362835,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +23,Private,180339,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,65,United-States,<=50K +55,Self-emp-inc,207489,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,50,Germany,<=50K +43,Private,336643,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +31,Private,143653,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +62,State-gov,101475,Assoc-acdm,12,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Local-gov,263871,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,8,United-States,<=50K +38,Self-emp-not-inc,77820,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +29,Private,95465,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,42,United-States,<=50K +26,Private,257910,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K +26,Private,244372,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,52,United-States,>50K +37,Self-emp-not-inc,126738,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K +79,Self-emp-inc,97082,12th,8,Widowed,Sales,Not-in-family,White,Male,18481,0,45,United-States,>50K +61,Private,133164,7th-8th,4,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K +28,Self-emp-not-inc,104617,7th-8th,4,Never-married,Other-service,Other-relative,White,Female,0,0,99,Mexico,<=50K +60,Self-emp-inc,105339,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,United-States,>50K +51,Self-emp-inc,258735,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,81,United-States,<=50K +34,Private,182926,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,>50K +35,Private,166193,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +27,Local-gov,206125,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +44,Private,346594,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,108301,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +32,Private,73498,7th-8th,4,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,129150,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,>50K +27,Private,181280,Masters,14,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,30,United-States,<=50K +40,Private,146908,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +43,Private,183765,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,?,>50K +25,Private,164488,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,307468,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,93884,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +26,Private,279833,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,2258,45,United-States,>50K +52,Private,137658,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Dominican-Republic,<=50K +32,Private,101562,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +33,Private,136331,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,259846,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +48,Private,98719,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,44,United-States,<=50K +62,Self-emp-not-inc,168682,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,5,United-States,<=50K +40,Self-emp-not-inc,198953,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,Black,Female,0,0,2,United-States,<=50K +41,?,29115,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +28,Private,173673,5th-6th,3,Never-married,Other-service,Not-in-family,White,Female,0,0,40,Mexico,<=50K +23,Private,67958,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +50,Federal-gov,98980,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +51,State-gov,94174,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +63,Self-emp-not-inc,122442,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,48,United-States,<=50K +63,Federal-gov,154675,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,116632,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K +20,?,238685,11th,7,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +61,?,139391,Some-college,10,Married-civ-spouse,?,Husband,White,Male,99999,0,30,United-States,>50K +40,Private,169031,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,237452,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,15,Cuba,>50K +41,Private,216968,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,?,<=50K +27,?,216479,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,24,United-States,>50K +20,State-gov,126822,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K +28,Private,51461,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1887,40,United-States,>50K +35,Private,54953,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,222654,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,37676,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +57,Private,159319,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +28,Private,125321,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,209609,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +37,Private,224947,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,State-gov,438427,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +26,Self-emp-not-inc,384276,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,196805,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,65,United-States,<=50K +27,Private,242097,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +33,Private,184306,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +45,Private,161954,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,Germany,<=50K +65,Private,258561,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +57,Self-emp-not-inc,95280,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,99999,0,45,United-States,>50K +59,Private,212783,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K +18,Private,205004,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,26,United-States,<=50K +44,Local-gov,387844,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,83880,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,161155,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +43,Local-gov,265698,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +59,Self-emp-inc,146477,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +19,Private,97261,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,State-gov,437890,HS-grad,9,Never-married,Exec-managerial,Unmarried,Black,Male,0,0,90,United-States,<=50K +68,Self-emp-not-inc,133736,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,20051,0,40,United-States,>50K +63,Private,169983,11th,7,Widowed,Sales,Not-in-family,White,Female,2176,0,30,United-States,<=50K +37,Private,126675,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,57,United-States,<=50K +46,Local-gov,175754,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,1876,60,United-States,<=50K +31,Private,121768,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,Poland,<=50K +23,Private,180052,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,124454,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +49,Private,190115,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1672,44,United-States,<=50K +36,Private,222584,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +38,Private,22245,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +46,Local-gov,114160,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,45,United-States,>50K +24,Private,228960,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +26,Private,132572,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +47,Private,103020,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,Other,Female,0,0,40,Puerto-Rico,<=50K +40,Private,187802,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1887,40,United-States,>50K +31,Local-gov,50649,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +42,Private,137698,5th-6th,3,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,35,Mexico,<=50K +48,Self-emp-inc,30575,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,>50K +56,Private,202220,Some-college,10,Separated,Tech-support,Unmarried,Black,Female,0,0,38,United-States,<=50K +50,Private,50178,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +17,Private,207791,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +21,Private,540712,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,1719,25,United-States,<=50K +50,Private,321770,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Private,202053,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K +34,Private,143699,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,15,United-States,<=50K +32,Self-emp-not-inc,115066,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +28,Private,223751,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +62,Self-emp-inc,354075,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +23,Private,32732,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,15,United-States,<=50K +24,State-gov,390867,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +31,Private,101697,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +36,Private,279721,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,223400,Assoc-acdm,12,Married-civ-spouse,Priv-house-serv,Other-relative,White,Female,0,0,35,Poland,<=50K +46,?,206357,5th-6th,3,Married-civ-spouse,?,Wife,White,Female,0,0,40,Mexico,<=50K +39,Private,76417,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +48,?,184682,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,18,United-States,<=50K +21,Private,78170,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,<=50K +39,Private,201410,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,189013,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +33,Private,119913,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +37,Private,549174,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +29,Local-gov,214706,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +30,?,33811,Bachelors,13,Married-civ-spouse,?,Wife,Other,Female,0,0,40,Taiwan,>50K +43,Private,234220,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,Cuba,<=50K +22,Private,237720,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,185942,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,>50K +69,Local-gov,286983,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,140027,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +18,?,115258,11th,7,Never-married,?,Own-child,White,Male,0,0,12,United-States,<=50K +54,Private,155408,HS-grad,9,Widowed,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +65,?,117963,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,<=50K +28,Private,158737,12th,8,Married-civ-spouse,Machine-op-inspct,Other-relative,Other,Male,0,0,40,Ecuador,<=50K +27,Local-gov,199471,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,0,0,38,United-States,<=50K +35,Private,287701,Assoc-acdm,12,Divorced,Craft-repair,Unmarried,White,Male,0,0,45,United-States,>50K +38,Private,137707,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K +33,State-gov,108116,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,366900,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +56,Self-emp-inc,187355,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,60,Canada,>50K +38,Private,33105,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,70,United-States,>50K +51,Self-emp-not-inc,268639,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,2057,60,Canada,<=50K +26,Private,358975,Some-college,10,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,50,Hungary,<=50K +33,Private,199227,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +44,Private,248249,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,460437,9th,5,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,187294,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +44,Private,115932,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,181762,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,55,United-States,>50K +21,Private,27049,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +41,Private,806552,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +41,Private,150755,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,Canada,>50K +62,Private,69867,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K +27,Private,160786,11th,7,Separated,Craft-repair,Not-in-family,White,Male,0,0,45,Germany,<=50K +38,Private,219546,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +60,Private,24872,Some-college,10,Separated,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Female,0,0,30,United-States,<=50K +24,Private,110371,12th,8,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,Mexico,<=50K +24,?,376474,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,304602,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +32,?,143699,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,238917,1st-4th,2,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,24,Mexico,<=50K +51,Private,200618,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,183043,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,48,United-States,>50K +42,Local-gov,209752,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +48,?,175653,Assoc-acdm,12,Divorced,?,Not-in-family,White,Female,14084,0,40,United-States,>50K +49,Private,196707,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,43,United-States,>50K +37,Local-gov,98725,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,42,United-States,<=50K +37,Self-emp-not-inc,180150,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +66,Private,151227,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +18,?,118847,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,24,United-States,<=50K +46,Private,282538,Assoc-voc,11,Separated,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +52,Private,89534,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +23,Private,291011,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +67,Private,166187,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Male,0,0,38,United-States,>50K +19,Private,188669,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +37,Private,178948,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +42,Self-emp-inc,188738,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,Italy,>50K +39,Self-emp-not-inc,160808,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +54,Private,93605,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1848,40,United-States,>50K +46,Private,318331,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +47,?,109921,HS-grad,9,Separated,?,Unmarried,Black,Female,0,0,32,United-States,<=50K +33,Private,87605,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +69,Self-emp-not-inc,89477,Some-college,10,Widowed,Farming-fishing,Not-in-family,White,Female,0,0,14,United-States,<=50K +21,Private,48301,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,220748,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,48,United-States,<=50K +39,Private,387068,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +23,Private,250743,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +26,Private,78258,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,36,United-States,<=50K +42,Private,31387,Doctorate,16,Married-spouse-absent,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +36,Private,289190,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +24,Private,604537,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,Mexico,<=50K +35,Private,328466,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +42,Private,403187,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K +37,Private,219546,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,44,United-States,>50K +41,Private,220531,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +27,Private,204648,Assoc-voc,11,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +42,Self-emp-not-inc,201908,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K +44,?,109912,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,16,United-States,>50K +18,Private,365683,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K +41,Private,175674,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +31,Private,203488,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,106406,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +67,Private,172756,1st-4th,2,Widowed,Machine-op-inspct,Not-in-family,White,Female,2062,0,34,Ecuador,<=50K +37,Private,125167,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +51,Private,249339,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,94652,Some-college,10,Never-married,Craft-repair,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +40,Private,195394,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +25,Private,130302,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +38,Private,66686,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +43,Private,336042,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,193586,Some-college,10,Separated,Farming-fishing,Other-relative,White,Female,0,0,40,United-States,<=50K +44,Private,325461,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K +60,Local-gov,313852,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K +38,Local-gov,30509,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1669,55,United-States,<=50K +21,Local-gov,32639,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K +18,Private,234953,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +49,Private,120629,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Black,Female,27828,0,60,United-States,>50K +43,Private,350379,5th-6th,3,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,40,Mexico,<=50K +26,?,176967,11th,7,Never-married,?,Not-in-family,White,Female,0,0,65,United-States,<=50K +36,Private,36423,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,25,United-States,>50K +31,Private,123397,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,5178,0,35,United-States,>50K +38,Private,130813,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K +43,Self-emp-not-inc,35236,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K +58,Private,33350,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +55,Private,177380,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,29,United-States,<=50K +39,Private,216129,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,35,Jamaica,<=50K +38,Private,335104,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +54,Self-emp-not-inc,199741,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,2001,35,United-States,<=50K +57,Self-emp-inc,165881,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +35,Local-gov,387777,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,<=50K +44,Self-emp-not-inc,149943,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,60,Taiwan,>50K +36,Private,188834,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,290661,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,155603,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,2205,40,United-States,<=50K +25,Private,114838,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,8,Italy,<=50K +54,Local-gov,168553,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,103064,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,123833,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +60,Federal-gov,55621,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +66,Local-gov,189834,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +36,Private,217926,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,50,United-States,<=50K +29,Self-emp-not-inc,341672,HS-grad,9,Married-spouse-absent,Transport-moving,Other-relative,Asian-Pac-Islander,Male,0,1564,50,India,>50K +29,Private,163003,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,2202,0,40,Taiwan,<=50K +25,Private,194352,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,44,United-States,<=50K +62,?,54878,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,25,United-States,<=50K +23,Private,393248,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,279315,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +33,Private,392812,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,>50K +49,Self-emp-inc,34998,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +57,Self-emp-inc,51016,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +57,Local-gov,132717,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +46,Private,186078,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,45,United-States,<=50K +37,Self-emp-inc,196123,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K +43,Self-emp-inc,304906,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +26,Private,41521,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +40,Private,346847,Assoc-voc,11,Separated,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K +39,Self-emp-not-inc,107233,HS-grad,9,Never-married,Craft-repair,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +39,Private,150125,Assoc-acdm,12,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Private,400535,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,409622,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,36,Mexico,<=50K +27,Private,136448,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,202950,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Iran,<=50K +40,Local-gov,197012,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,8614,0,40,England,>50K +57,Private,237691,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +24,Private,170277,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +30,Private,160784,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +28,Private,33798,12th,8,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +22,Private,197838,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,223212,7th-8th,4,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K +33,Private,125762,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,>50K +20,Private,283969,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,15,United-States,<=50K +25,Private,374163,12th,8,Married-civ-spouse,Farming-fishing,Husband,Other,Male,0,0,60,Mexico,<=50K +49,State-gov,118567,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,147655,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +45,Private,82797,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +36,Local-gov,142573,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +41,Private,235167,5th-6th,3,Married-spouse-absent,Priv-house-serv,Not-in-family,White,Female,0,0,32,Mexico,<=50K +23,Private,53245,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1602,12,United-States,<=50K +47,Private,28035,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +41,Private,247082,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +30,Private,123397,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Local-gov,133327,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,102270,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +64,?,45817,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K +55,Private,240988,9th,5,Married-civ-spouse,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +19,Private,386378,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +31,State-gov,350651,12th,8,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K +18,State-gov,76142,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,8,United-States,<=50K +68,Private,73773,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,24,United-States,<=50K +50,?,281504,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +36,Local-gov,293358,Some-college,10,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,48,United-States,<=50K +44,Private,146906,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +58,Self-emp-not-inc,331474,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K +20,Private,213719,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K +18,Private,101795,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,228265,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,30,United-States,<=50K +49,Self-emp-not-inc,130206,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,324254,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,223019,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,189666,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K +35,Private,139086,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,359327,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,?,<=50K +44,Self-emp-not-inc,75065,12th,8,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,Vietnam,<=50K +55,Private,139843,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +21,Private,34310,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2603,40,United-States,<=50K +54,Private,346014,Some-college,10,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,<=50K +39,Local-gov,163278,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,2202,0,44,United-States,<=50K +52,Private,31460,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,38,United-States,<=50K +57,Self-emp-inc,33725,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +67,?,63552,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +58,State-gov,300623,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Local-gov,177072,Some-college,10,Never-married,Prof-specialty,Other-relative,White,Male,0,0,16,United-States,<=50K +66,?,37331,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K +41,Private,167725,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,131180,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,16,United-States,<=50K +58,Private,275859,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Male,8614,0,52,Mexico,>50K +50,Private,275181,5th-6th,3,Divorced,Other-service,Not-in-family,White,Male,0,0,37,Cuba,<=50K +31,Private,398988,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,222654,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,111129,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +26,Self-emp-not-inc,137795,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K +33,Local-gov,242150,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K +35,State-gov,237873,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +44,Private,367749,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Mexico,<=50K +26,Private,206600,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,Mexico,<=50K +48,Federal-gov,247043,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,187702,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +62,Private,41718,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +37,Private,151835,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +18,Private,118938,11th,7,Never-married,Sales,Own-child,White,Male,0,0,18,United-States,<=50K +48,Private,224870,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,Other,Female,0,0,38,Ecuador,<=50K +45,Private,178341,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,61343,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +35,Private,36989,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +34,Self-emp-not-inc,226296,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,51,United-States,<=50K +29,Private,186624,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Cuba,<=50K +19,Private,172582,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +53,State-gov,227392,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K +49,Private,187563,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +71,Private,137499,HS-grad,9,Widowed,Sales,Other-relative,White,Female,0,0,16,United-States,<=50K +38,Private,239397,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,Mexico,<=50K +39,Local-gov,327164,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +23,Private,140798,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Self-emp-inc,187450,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +52,Private,194580,5th-6th,3,Divorced,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K +41,Private,372682,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +20,Private,235442,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +30,Private,128065,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K +56,Private,91545,10th,6,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,36,United-States,<=50K +26,Private,154604,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Federal-gov,192150,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Local-gov,216522,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,42,United-States,<=50K +58,Private,156040,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,1848,40,United-States,>50K +24,Private,206861,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,97632,Some-college,10,Divorced,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,32,United-States,<=50K +27,Private,189530,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +28,State-gov,381789,Some-college,10,Separated,Exec-managerial,Own-child,White,Male,0,2339,40,United-States,<=50K +57,Self-emp-inc,368797,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +21,State-gov,41183,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K +50,Private,191062,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,132963,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +58,Private,153551,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +27,Self-emp-not-inc,66473,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,240323,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,17,United-States,<=50K +68,Local-gov,242095,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,40,United-States,>50K +33,Self-emp-inc,128016,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,29526,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,18,United-States,<=50K +26,Private,342953,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +37,Private,215476,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,30,United-States,<=50K +53,Private,231919,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +32,Private,52537,Some-college,10,Never-married,Tech-support,Not-in-family,Black,Male,0,0,38,United-States,<=50K +18,Private,27920,11th,7,Never-married,Exec-managerial,Own-child,White,Female,0,0,25,United-States,<=50K +53,Private,153052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +40,Self-emp-not-inc,199303,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,233369,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,345789,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,50,United-States,>50K +60,Private,238913,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,46,United-States,>50K +28,Self-emp-not-inc,195607,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +34,Private,245173,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,1669,45,United-States,<=50K +37,Private,138441,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,67467,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,102569,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,65,United-States,>50K +21,Private,213341,11th,7,Married-spouse-absent,Handlers-cleaners,Own-child,White,Male,0,1762,40,Dominican-Republic,<=50K +26,Private,37202,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +47,Private,140219,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +18,Private,298860,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +22,Private,51362,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,16,United-States,<=50K +36,Private,199947,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K +59,Self-emp-not-inc,32552,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K +33,Private,183845,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,38,El-Salvador,<=50K +33,Private,181091,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,35,England,<=50K +53,Self-emp-inc,135643,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,50,South,<=50K +44,State-gov,96249,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3411,0,40,United-States,<=50K +55,Private,181220,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +56,Private,133025,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +54,Self-emp-not-inc,124865,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +51,Private,45599,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,194293,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,2463,0,38,United-States,<=50K +43,Private,102180,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +44,Private,121130,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,138768,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,50,United-States,<=50K +43,State-gov,98989,HS-grad,9,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +26,State-gov,126327,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +30,Private,113364,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,18,United-States,<=50K +30,Private,326199,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,2580,0,40,United-States,<=50K +46,Private,376789,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,15,United-States,<=50K +27,Private,137063,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +26,Private,279145,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,178815,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,8614,0,40,United-States,>50K +25,Self-emp-not-inc,245369,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +30,Federal-gov,49593,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +46,State-gov,238648,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,7298,0,40,United-States,>50K +47,Private,166181,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,48,United-States,>50K +66,Self-emp-inc,249043,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,5556,0,26,United-States,>50K +43,Private,156403,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +71,?,128529,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +36,Federal-gov,186934,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1848,55,United-States,>50K +46,?,148489,HS-grad,9,Married-spouse-absent,?,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +44,Local-gov,387770,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,15,United-States,<=50K +42,Private,115511,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,201410,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1977,45,Philippines,>50K +36,Private,220585,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +60,Self-emp-not-inc,282066,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K +37,Private,280966,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +26,Private,291586,Bachelors,13,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K +24,Private,142227,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +17,?,104025,11th,7,Never-married,?,Own-child,White,Male,0,0,18,United-States,<=50K +45,Local-gov,148254,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +54,Private,170562,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +22,Private,222490,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +63,Local-gov,57674,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K +22,Private,233624,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K +27,Private,42734,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K +33,Private,233107,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,33,Mexico,<=50K +64,Private,143110,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +50,Private,195844,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +44,Self-emp-not-inc,115896,Assoc-voc,11,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,303851,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +44,Private,172475,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +53,Self-emp-not-inc,30008,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +33,Local-gov,147921,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Federal-gov,172716,12th,8,Married-civ-spouse,Armed-Forces,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,155057,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K +43,?,152569,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,2339,36,United-States,<=50K +80,Self-emp-not-inc,132728,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,20,United-States,<=50K +31,Private,195136,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K +40,Private,377322,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +53,Local-gov,293941,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,182123,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,<=50K +38,Private,32528,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +33,Private,140206,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +48,Local-gov,378221,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Mexico,>50K +23,Private,211601,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,<=50K +31,Self-emp-not-inc,119411,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +52,Self-emp-not-inc,240013,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K +24,Private,95552,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,183710,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,189382,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +52,Private,380633,5th-6th,3,Widowed,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K +54,Private,53407,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,150480,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +40,Private,175674,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +28,Private,375313,HS-grad,9,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,50,United-States,<=50K +21,?,278391,Some-college,10,Never-married,?,Own-child,White,Male,0,0,16,United-States,<=50K +23,Private,212888,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Self-emp-inc,487085,7th-8th,4,Never-married,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K +22,Private,174461,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +55,Local-gov,133201,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +71,Private,77253,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,17,United-States,<=50K +47,Private,141511,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +17,Self-emp-inc,181608,10th,6,Never-married,Sales,Own-child,White,Male,0,0,12,United-States,<=50K +31,Private,127610,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K +32,Private,154571,Some-college,10,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,40,?,<=50K +46,Private,33842,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,40,United-States,>50K +27,Private,150080,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +39,Federal-gov,30916,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K +40,Private,151294,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,48,United-States,<=50K +30,Private,48829,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,1602,30,United-States,<=50K +17,Private,193769,9th,5,Never-married,Other-service,Unmarried,White,Male,0,0,20,United-States,<=50K +33,Private,277455,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +72,Private,225780,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +34,Federal-gov,436341,Some-college,10,Married-AF-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +65,Private,255386,HS-grad,9,Never-married,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,40,Cambodia,<=50K +36,Private,174938,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,50,United-States,>50K +32,Private,174789,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +26,Private,245628,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,Mexico,<=50K +22,Private,228752,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,354148,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,48,United-States,>50K +31,Private,192900,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Self-emp-not-inc,190391,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +38,Private,353263,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,Italy,>50K +34,Private,113198,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,28,United-States,<=50K +44,Private,207578,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +27,Private,93206,Some-college,10,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +50,Local-gov,163998,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,44,United-States,>50K +47,Private,111961,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,30,United-States,<=50K +20,Private,219122,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,111445,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K +29,Federal-gov,309778,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +37,Local-gov,223020,Assoc-voc,11,Never-married,Other-service,Unmarried,Black,Female,0,0,32,United-States,<=50K +42,Private,303155,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,?,41035,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +68,Private,159191,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Local-gov,244408,Some-college,10,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +72,Self-emp-not-inc,473748,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +45,Federal-gov,71823,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,20,United-States,<=50K +30,Local-gov,83066,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +33,Private,150154,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,190786,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +56,Private,178033,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Male,4416,0,60,United-States,<=50K +25,Self-emp-not-inc,159909,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,190885,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,40,Guatemala,<=50K +25,Private,243786,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K +31,State-gov,124020,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +36,Private,159016,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,<=50K +37,Private,183800,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +58,Self-emp-not-inc,193434,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +26,Private,245029,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +55,Private,98746,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,Canada,>50K +46,Federal-gov,140664,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +44,Private,344920,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,1617,20,United-States,<=50K +44,Private,169980,11th,7,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,60,United-States,<=50K +28,State-gov,155397,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K +42,Private,245317,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +41,Private,74182,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,280570,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +64,Self-emp-not-inc,30664,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +20,Private,109952,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +45,Local-gov,192793,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +31,Private,243442,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +36,Federal-gov,106297,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +32,Private,328060,9th,5,Separated,Other-service,Unmarried,Other,Female,0,0,40,Mexico,<=50K +33,Self-emp-not-inc,48702,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K +51,Self-emp-not-inc,111283,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,99999,0,35,United-States,>50K +36,Private,484024,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +40,Private,208470,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,172032,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,51,United-States,>50K +40,Private,29927,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,England,<=50K +46,Private,98012,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Self-emp-not-inc,108468,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +30,Private,207301,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,1980,40,United-States,<=50K +26,Private,168403,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,66935,Bachelors,13,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,42044,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,184806,Prof-school,15,Never-married,Prof-specialty,Other-relative,White,Male,0,0,50,United-States,<=50K +39,Private,1455435,Assoc-acdm,12,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,445382,Some-college,10,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +37,Private,278576,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,>50K +79,Self-emp-not-inc,84979,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,>50K +36,Private,659504,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,45,United-States,>50K +44,Private,136986,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +23,Private,278107,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1573,30,United-States,<=50K +27,Private,96219,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +46,Self-emp-not-inc,131091,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K +58,Private,205410,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,416745,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,<=50K +36,Private,180667,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,60,United-States,>50K +21,Private,72119,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +41,State-gov,108945,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Female,14344,0,40,United-States,>50K +49,Federal-gov,195949,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,101345,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +29,Private,439263,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,35,Peru,<=50K +63,Private,213095,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +29,Federal-gov,59932,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +65,Private,172815,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,40915,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +42,Private,139012,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K +44,Private,121781,Some-college,10,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,37,United-States,<=50K +51,?,130667,HS-grad,9,Separated,?,Not-in-family,Black,Male,0,0,6,United-States,<=50K +41,Self-emp-not-inc,147110,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,25,United-States,<=50K +22,Local-gov,237811,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Black,Female,0,0,35,Haiti,<=50K +36,?,128640,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,25,United-States,<=50K +18,Private,111476,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +33,Local-gov,289716,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +46,Local-gov,141944,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +49,Private,323773,11th,7,Married-civ-spouse,Priv-house-serv,Other-relative,White,Female,0,0,40,United-States,<=50K +41,State-gov,176663,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +52,Private,155233,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Private,143327,Some-college,10,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Federal-gov,177212,Some-college,10,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Self-emp-not-inc,123088,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +30,Local-gov,47085,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,102106,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,235894,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +71,Self-emp-not-inc,172046,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +20,Self-emp-not-inc,197207,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +26,Private,152452,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K +34,Private,172928,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K +36,?,214896,9th,5,Divorced,?,Unmarried,White,Female,0,0,40,Mexico,<=50K +49,Private,116338,HS-grad,9,Separated,Prof-specialty,Unmarried,White,Female,0,653,60,United-States,<=50K +48,Private,276664,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K +22,Private,59924,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +30,Private,194141,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,1617,40,United-States,<=50K +51,Private,95128,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,292504,Some-college,10,Married-spouse-absent,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Self-emp-inc,45796,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +42,Private,119359,Prof-school,15,Married-civ-spouse,Sales,Wife,Amer-Indian-Eskimo,Female,15024,0,40,South,>50K +52,State-gov,104280,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K +57,Private,172291,HS-grad,9,Divorced,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K +35,Private,180988,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,39,United-States,<=50K +52,Private,110748,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +59,?,556688,9th,5,Divorced,?,Not-in-family,White,Female,0,0,12,United-States,<=50K +36,Private,22494,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,267859,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Cuba,>50K +67,Local-gov,256821,HS-grad,9,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,20,United-States,<=50K +31,Self-emp-not-inc,117346,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +31,Private,62374,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +28,Private,314659,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,42,United-States,<=50K +72,?,114761,7th-8th,4,Widowed,?,Unmarried,White,Female,0,0,20,United-States,<=50K +36,Private,93225,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Self-emp-not-inc,165315,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K +56,Private,124771,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,27408,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,198841,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +44,Private,271792,Bachelors,13,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Private,64289,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,183390,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,240771,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,50,United-States,>50K +30,Private,234919,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,El-Salvador,<=50K +20,Private,88231,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,154422,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +37,Private,119098,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +53,State-gov,151580,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,4386,0,40,United-States,>50K +54,Private,118793,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +32,?,30499,Bachelors,13,Divorced,?,Unmarried,White,Female,0,0,32,United-States,<=50K +34,?,166545,Some-college,10,Married-civ-spouse,?,Wife,White,Female,7688,0,6,United-States,>50K +30,Private,271710,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,50,United-States,>50K +43,State-gov,308498,HS-grad,9,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +48,Private,172695,Assoc-voc,11,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +42,Self-emp-not-inc,29962,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +62,Private,200332,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,291702,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,67234,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +45,Private,168038,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,32,United-States,<=50K +34,Private,137814,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +64,Private,126233,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K +42,Self-emp-not-inc,79036,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K +60,Self-emp-not-inc,327474,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K +44,Private,145160,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,58,United-States,<=50K +67,?,37092,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,4,United-States,<=50K +45,Private,129387,Assoc-acdm,12,Divorced,Tech-support,Unmarried,White,Female,0,0,40,?,<=50K +53,Self-emp-not-inc,33304,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +37,Private,359001,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,50,United-States,>50K +32,?,143162,10th,6,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +23,Private,133515,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +28,Private,168901,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K +55,Private,750972,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,United-States,<=50K +58,Private,142924,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,24,United-States,>50K +74,Self-emp-inc,228075,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,25,United-States,>50K +27,Private,91189,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,290609,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +22,?,31102,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,4,South,<=50K +44,Self-emp-not-inc,216921,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,70,United-States,<=50K +23,Private,120046,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,324629,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Yugoslavia,<=50K +45,Private,81132,Some-college,10,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,55,United-States,>50K +29,Private,160279,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +33,Private,229732,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,>50K +61,Local-gov,144723,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,United-States,>50K +29,Private,148431,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,Other,Female,7688,0,45,United-States,>50K +22,Private,160398,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,38,United-States,<=50K +28,Private,129460,9th,5,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,El-Salvador,<=50K +30,Private,252752,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +20,Private,58222,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +28,?,424884,10th,6,Separated,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +45,Private,114459,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +19,?,46400,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,24,United-States,<=50K +42,Private,223934,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,84119,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,159123,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +23,Private,195532,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +50,Private,191299,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,198316,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +57,Private,162301,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +35,Private,143152,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,3908,0,27,United-States,<=50K +24,Private,92609,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K +27,Private,247819,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K +27,Local-gov,229223,Some-college,10,Never-married,Protective-serv,Own-child,White,Female,0,0,40,United-States,>50K +45,Self-emp-inc,142719,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +80,Private,86111,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +23,State-gov,35633,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K +46,Private,164749,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,Private,607848,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +50,Private,173630,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +90,Private,311184,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,?,<=50K +55,Private,49737,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +72,Private,183616,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,England,<=50K +65,Private,129426,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,454915,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,State-gov,55568,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +38,Private,29874,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,393715,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +50,Private,143953,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K +54,Private,90363,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +40,Private,53727,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +30,Private,130021,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,40,United-States,<=50K +50,Private,173630,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +28,Private,410351,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +34,Private,399386,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,53,United-States,<=50K +55,Private,157932,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,133061,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +19,?,46400,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,32,United-States,<=50K +21,Private,107895,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,35,United-States,<=50K +39,Private,63021,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +43,Private,186144,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +33,Local-gov,27959,HS-grad,9,Never-married,Other-service,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +26,Private,179569,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,State-gov,101299,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +31,State-gov,113129,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,65,United-States,<=50K +32,Private,316470,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,Mexico,<=50K +60,Self-emp-not-inc,89884,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +41,Private,32121,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +21,Private,315303,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K +27,Private,254500,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,36,United-States,<=50K +33,Private,419895,5th-6th,3,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,Mexico,<=50K +43,Private,159549,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,160786,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K +18,Self-emp-not-inc,258474,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +48,Self-emp-not-inc,370119,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +37,Private,50837,7th-8th,4,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +58,Private,137506,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,548256,12th,8,Married-civ-spouse,Transport-moving,Husband,Black,Male,7688,0,40,United-States,>50K +42,Local-gov,175642,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,99999,0,40,United-States,>50K +24,Private,183594,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K +26,Private,341353,Bachelors,13,Never-married,Other-service,Other-relative,White,Male,0,0,15,United-States,<=50K +43,Self-emp-inc,247981,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,5455,0,50,United-States,<=50K +34,Private,193565,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,39606,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +51,Self-emp-not-inc,127149,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,>50K +31,?,233371,HS-grad,9,Married-civ-spouse,?,Wife,Black,Female,0,0,45,United-States,<=50K +49,Self-emp-not-inc,182752,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K +26,Private,269060,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +28,Private,179949,HS-grad,9,Divorced,Transport-moving,Unmarried,Black,Female,0,0,20,United-States,<=50K +22,Federal-gov,32950,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1902,37,United-States,<=50K +26,Private,160445,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,223999,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,1848,40,United-States,>50K +39,Private,81487,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,625,40,United-States,<=50K +23,Private,314539,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +62,?,337721,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +42,Local-gov,100793,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +39,Federal-gov,255407,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Federal-gov,92775,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,33308,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,70,United-States,<=50K +68,State-gov,493363,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K +30,?,159589,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,46,United-States,>50K +32,Private,107218,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +25,Private,123586,Some-college,10,Never-married,Adm-clerical,Unmarried,Other,Male,0,0,40,United-States,<=50K +53,Private,158352,5th-6th,3,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,24,Italy,<=50K +38,Private,76317,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +62,?,176753,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,122346,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,463194,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,162228,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +43,State-gov,115005,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,State-gov,183285,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,36,United-States,<=50K +34,Private,169605,10th,6,Separated,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K +24,Private,450695,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +44,Local-gov,124692,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +19,Private,63918,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,102569,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +40,Private,289309,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,48,United-States,<=50K +45,Private,101825,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K +43,Private,206833,HS-grad,9,Separated,Handlers-cleaners,Unmarried,Black,Female,0,0,45,United-States,<=50K +22,?,77873,9th,5,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +50,Private,145333,Doctorate,16,Divorced,Prof-specialty,Other-relative,White,Male,10520,0,50,United-States,>50K +72,?,194548,Some-college,10,Married-spouse-absent,?,Not-in-family,White,Male,0,0,3,United-States,<=50K +29,Private,206351,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,198200,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +24,Private,140001,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,35,El-Salvador,<=50K +22,?,287988,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,15,United-States,<=50K +21,Private,143604,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +30,Self-emp-not-inc,146161,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K +37,Private,196529,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,2354,0,40,?,<=50K +74,Self-emp-not-inc,192413,Prof-school,15,Divorced,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,<=50K +70,Self-emp-not-inc,139889,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,2653,0,70,United-States,<=50K +27,Private,104917,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Local-gov,161478,Bachelors,13,Divorced,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,46,United-States,<=50K +30,Private,35644,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +29,Local-gov,116751,Assoc-voc,11,Divorced,Protective-serv,Unmarried,White,Male,0,0,56,United-States,<=50K +18,Private,238867,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,1602,40,United-States,<=50K +31,Private,265706,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +39,State-gov,179668,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,70,United-States,<=50K +21,Private,57951,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +31,Private,176711,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,United-States,<=50K +33,Local-gov,368675,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,216149,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,>50K +29,Private,173851,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,90705,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,1485,40,United-States,<=50K +52,State-gov,216342,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,<=50K +35,Private,140752,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K +33,Private,116508,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,?,224361,9th,5,Divorced,?,Unmarried,White,Female,0,0,5,Cuba,<=50K +43,Private,180303,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K +66,?,196736,1st-4th,2,Never-married,?,Not-in-family,Black,Male,0,0,30,United-States,<=50K +51,Local-gov,110327,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +36,Private,185607,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +17,Local-gov,244856,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +32,Private,198068,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,97136,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +19,Self-emp-inc,164658,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K +54,Private,235693,11th,7,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K +45,Private,197038,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +47,Local-gov,97419,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +49,Self-emp-not-inc,208872,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1672,98,United-States,<=50K +32,Private,205528,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Self-emp-inc,146042,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +39,Self-emp-inc,222641,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +27,Self-emp-inc,376936,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +42,Local-gov,138077,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,38,United-States,>50K +24,Private,155913,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,<=50K +45,Private,36006,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +19,Private,214678,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +46,Private,369538,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +50,Private,166565,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,257043,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K +47,Self-emp-inc,181130,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K +69,?,254834,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,10605,0,10,United-States,>50K +43,Self-emp-not-inc,38876,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +29,Private,187073,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Federal-gov,156996,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,2415,55,?,>50K +90,Private,313749,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K +41,Private,331651,Prof-school,15,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,Japan,>50K +24,Private,243368,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,36,Mexico,<=50K +24,Private,32921,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K +24,Private,117167,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,53,United-States,<=50K +35,Private,401930,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1887,42,United-States,>50K +30,Private,114691,Bachelors,13,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K +46,Private,99385,Bachelors,13,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Local-gov,210308,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,1721,30,United-States,<=50K +39,Private,252327,9th,5,Separated,Craft-repair,Own-child,White,Male,0,0,35,Mexico,<=50K +43,Private,90582,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,190194,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +65,Private,264188,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,24,United-States,<=50K +34,Private,243776,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +41,Private,67065,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +24,Self-emp-not-inc,204209,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K +24,Private,226668,HS-grad,9,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Male,0,0,35,United-States,<=50K +34,Self-emp-inc,174215,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,4787,0,45,France,>50K +33,Private,315143,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Cuba,>50K +37,Private,118681,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,38,Puerto-Rico,<=50K +39,Self-emp-not-inc,208109,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +58,Private,116901,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +36,Self-emp-not-inc,405644,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Mexico,<=50K +33,Federal-gov,293550,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,4064,0,40,United-States,<=50K +42,Local-gov,328581,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +31,Private,217962,Some-college,10,Never-married,Protective-serv,Other-relative,Black,Male,0,0,40,?,<=50K +57,Private,158827,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +67,Federal-gov,65475,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +23,Private,159709,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,140474,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +43,Private,144778,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,Italy,>50K +39,Self-emp-not-inc,83242,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +36,Private,143385,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Local-gov,167544,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Female,0,0,13,United-States,<=50K +25,Private,122175,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +54,Private,378747,10th,6,Separated,Transport-moving,Unmarried,Black,Male,0,0,45,United-States,>50K +24,Private,230475,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +50,Self-emp-inc,120781,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,60,South,>50K +70,Private,206232,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +61,Private,298400,Bachelors,13,Divorced,Sales,Not-in-family,Black,Male,4787,0,48,United-States,>50K +51,Federal-gov,163671,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,<=50K +38,Self-emp-not-inc,140583,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +51,Private,137253,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K +28,Private,246974,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +66,Self-emp-not-inc,182470,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,>50K +57,Self-emp-inc,107617,HS-grad,9,Separated,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,>50K +44,Self-emp-inc,116358,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,50,?,>50K +29,Private,250819,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,196508,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K +42,Private,367533,10th,6,Married-civ-spouse,Craft-repair,Own-child,Other,Male,0,0,43,United-States,>50K +74,Private,188709,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K +50,Private,271160,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +65,Private,173674,HS-grad,9,Divorced,Other-service,Other-relative,White,Female,0,0,14,United-States,<=50K +64,?,257790,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,38,United-States,<=50K +44,Private,322391,11th,7,Separated,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K +34,Private,209691,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,4386,0,50,United-States,>50K +17,Private,104232,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K +17,?,86786,10th,6,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +43,Private,88233,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +32,Private,240888,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +54,Private,169719,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,3103,0,40,United-States,>50K +20,Private,129240,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +23,Private,160968,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K +34,Private,236861,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K +30,Private,109282,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +32,Private,215047,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,115932,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,Ireland,>50K +28,Private,55360,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +44,Private,224658,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +29,Local-gov,376302,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,35,Nicaragua,>50K +28,Private,183597,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,594,0,50,Germany,<=50K +37,Private,115289,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +56,Self-emp-inc,258883,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,69132,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,207301,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,20,United-States,<=50K +37,Private,179671,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +66,Self-emp-not-inc,140456,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +19,Private,327397,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K +60,Private,200235,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +54,Self-emp-not-inc,108435,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,2829,0,30,United-States,<=50K +47,Private,195978,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +47,Private,329144,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,>50K +48,Self-emp-inc,250674,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +57,?,176897,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K +50,Self-emp-inc,132716,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Germany,>50K +62,Private,174201,9th,5,Widowed,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K +45,Private,167617,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +55,Local-gov,254949,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,319582,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K +25,Private,248990,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Guatemala,<=50K +49,Private,144396,11th,7,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K +32,State-gov,200469,Some-college,10,Never-married,Protective-serv,Unmarried,Black,Female,3887,0,40,United-States,<=50K +25,Federal-gov,55636,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +39,Private,185624,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +27,Local-gov,125442,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +43,Private,160943,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,>50K +30,Private,243841,HS-grad,9,Divorced,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,South,<=50K +21,Private,34616,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +33,Private,235847,Prof-school,15,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +33,Private,174789,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K +33,Private,280111,11th,7,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,38,United-States,<=50K +70,Private,236055,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +25,Private,237865,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,42,United-States,<=50K +17,Private,194612,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +20,Private,173851,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,372483,Some-college,10,Never-married,Other-service,Other-relative,Black,Male,0,0,35,United-States,<=50K +71,Federal-gov,422149,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,40,United-States,>50K +31,Private,174201,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,272618,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +52,Private,74660,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,201481,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,175232,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K +25,Private,336440,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,46645,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,9,United-States,<=50K +48,State-gov,31141,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,40,United-States,>50K +53,Private,281425,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +30,Self-emp-not-inc,31510,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +44,Private,310255,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +32,Federal-gov,82393,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,56,United-States,>50K +59,Self-emp-not-inc,190514,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +49,Private,165513,Some-college,10,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K +65,?,178931,HS-grad,9,Married-civ-spouse,?,Husband,Amer-Indian-Eskimo,Male,3818,0,40,United-States,<=50K +31,Private,226696,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K +53,Private,195813,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,Other,Male,5178,0,40,Puerto-Rico,>50K +44,Private,165815,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,123983,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,55,Japan,>50K +36,Private,235371,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,147258,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +63,?,222289,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,7688,0,54,United-States,>50K +67,Self-emp-inc,171564,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,20051,0,30,England,>50K +29,Private,255949,Bachelors,13,Never-married,Sales,Unmarried,Black,Male,0,0,40,United-States,<=50K +52,Private,186272,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,282872,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1628,40,United-States,<=50K +21,Private,111676,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,199501,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,38,United-States,<=50K +24,Private,151443,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Female,0,0,30,United-States,<=50K +31,Private,145935,HS-grad,9,Never-married,Exec-managerial,Own-child,Black,Male,0,0,40,United-States,<=50K +54,Federal-gov,230387,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +44,Private,127592,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,210828,Some-college,10,Never-married,Handlers-cleaners,Own-child,Other,Male,0,0,30,United-States,<=50K +41,Private,297186,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,40,United-States,<=50K +37,Self-emp-inc,116554,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,70,United-States,<=50K +30,Private,144593,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,?,<=50K +26,State-gov,147719,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,20,India,<=50K +68,Self-emp-not-inc,89011,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,Canada,<=50K +31,Private,38158,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,178686,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +80,?,172826,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +26,Private,155752,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +63,Private,100099,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,231688,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,20,United-States,<=50K +30,?,147215,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +42,Self-emp-inc,50122,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +64,Federal-gov,86837,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +32,Private,113364,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,289390,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,<=50K +73,Private,77884,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +32,Private,390157,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +53,Private,89587,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,45,United-States,>50K +58,Private,234328,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Local-gov,365430,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K +24,Private,410439,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,15,United-States,<=50K +53,Private,129525,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +23,Private,166527,Some-college,10,Never-married,Exec-managerial,Own-child,Other,Female,0,0,40,United-States,<=50K +42,?,109912,Assoc-acdm,12,Never-married,?,Other-relative,White,Female,0,0,40,United-States,<=50K +30,Private,210906,HS-grad,9,Married-civ-spouse,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K +38,Private,405284,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +28,Private,138269,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,25429,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +45,Private,231672,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +26,Private,258550,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,268147,9th,5,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,54411,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,?,<=50K +54,Private,37289,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,>50K +23,Private,157951,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +43,Self-emp-inc,225165,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +37,Private,238049,9th,5,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,30,El-Salvador,<=50K +31,Private,197252,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +56,Self-emp-inc,216636,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1651,40,United-States,<=50K +25,Private,183575,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +17,Private,19752,11th,7,Never-married,Other-service,Own-child,Black,Female,0,0,25,United-States,<=50K +37,Private,103925,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,68,United-States,<=50K +60,Private,31577,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +59,Federal-gov,61298,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +59,Federal-gov,190541,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +46,Self-emp-not-inc,366089,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +28,?,389857,HS-grad,9,Married-civ-spouse,?,Other-relative,White,Male,0,0,16,United-States,<=50K +33,?,192644,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,216129,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,1408,50,United-States,<=50K +29,Private,51944,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,4386,0,40,United-States,>50K +33,Self-emp-not-inc,67482,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,99,United-States,<=50K +29,?,108775,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,Dominican-Republic,<=50K +23,State-gov,279243,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,278391,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,Nicaragua,<=50K +60,Private,349898,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,44,United-States,<=50K +44,Private,219441,10th,6,Never-married,Sales,Unmarried,Other,Female,0,0,35,Dominican-Republic,<=50K +18,Private,173255,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,1055,0,25,United-States,<=50K +52,Federal-gov,29623,12th,8,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Private,217460,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +30,Private,163604,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,55,United-States,>50K +33,Private,163110,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3781,0,40,United-States,<=50K +20,Private,238685,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K +27,?,251854,Bachelors,13,Married-civ-spouse,?,Wife,Black,Female,0,0,35,?,>50K +33,Private,213308,Assoc-voc,11,Separated,Adm-clerical,Own-child,Black,Female,0,0,50,United-States,<=50K +25,Private,193773,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K +63,Private,114011,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Female,0,0,20,United-States,<=50K +63,Self-emp-not-inc,52144,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K +43,Private,347934,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +58,Private,293399,11th,7,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +70,?,118630,Assoc-voc,11,Widowed,?,Unmarried,White,Female,0,0,35,United-States,<=50K +35,Private,127306,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,14344,0,40,United-States,>50K +42,Private,366180,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +20,Local-gov,188950,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,25,United-States,<=50K +35,Private,189382,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +62,Private,24515,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,283116,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,1506,0,50,United-States,<=50K +43,Self-emp-not-inc,182217,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,<=50K +19,Private,552354,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,163021,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +47,Private,61885,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +36,Self-emp-not-inc,182898,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +45,Private,183092,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +48,Private,30289,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +29,Private,77572,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +48,State-gov,118330,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K +36,Private,469056,HS-grad,9,Divorced,Sales,Unmarried,Black,Female,0,0,25,United-States,<=50K +58,Private,145574,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,302041,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +59,Private,32552,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,4,United-States,<=50K +42,Private,185413,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +33,Federal-gov,26543,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +23,Federal-gov,163870,Some-college,10,Never-married,Armed-Forces,Other-relative,White,Male,0,0,40,United-States,<=50K +21,Private,240063,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +48,Private,208748,5th-6th,3,Divorced,Machine-op-inspct,Unmarried,Other,Female,0,0,40,Dominican-Republic,<=50K +32,Local-gov,84119,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,84130,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +66,Local-gov,261062,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Local-gov,336010,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,32,United-States,<=50K +52,Private,389270,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K +17,Private,138293,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K +35,Private,240389,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,43,United-States,>50K +39,Private,190297,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,55,United-States,>50K +21,?,170070,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,10,United-States,<=50K +24,Private,149457,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Private,81534,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,84,Japan,>50K +25,Private,378322,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,2001,50,United-States,<=50K +29,Federal-gov,196912,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +56,Private,116143,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,5178,0,44,United-States,>50K +34,Self-emp-not-inc,80933,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +64,Local-gov,190660,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K +27,Private,120155,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,39,United-States,<=50K +47,Private,167159,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,4650,0,40,United-States,<=50K +36,Private,58343,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,3103,0,42,United-States,>50K +44,Federal-gov,161240,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,126402,HS-grad,9,Never-married,Farming-fishing,Not-in-family,Black,Female,0,0,60,United-States,<=50K +23,Private,148709,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,<=50K +45,Local-gov,318280,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +31,Local-gov,80058,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,64,United-States,<=50K +45,Private,274689,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +42,Private,157367,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,35,?,<=50K +33,Private,217460,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +33,Local-gov,33727,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +30,Self-emp-not-inc,166961,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K +25,Private,146117,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,42,United-States,<=50K +33,Private,160216,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,32,?,<=50K +70,Self-emp-not-inc,124449,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2246,8,United-States,>50K +22,Private,50163,9th,5,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,235271,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +46,Private,121124,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +43,Self-emp-not-inc,144218,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +37,Private,94334,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,25,United-States,<=50K +59,Self-emp-inc,169982,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +51,Self-emp-not-inc,35295,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,45,United-States,<=50K +47,Private,133969,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,2885,0,65,Japan,<=50K +36,Private,35429,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +73,Local-gov,205580,5th-6th,3,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,6,United-States,<=50K +32,Local-gov,177794,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,167474,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +51,Local-gov,35211,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +20,Private,117244,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,45,United-States,<=50K +57,Private,194850,Some-college,10,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,Mexico,<=50K +19,Private,144911,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +45,Private,197240,12th,8,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K +55,Private,101338,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +60,Private,148522,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +19,Private,97261,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,166606,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,229414,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K +34,Local-gov,209213,Bachelors,13,Never-married,Prof-specialty,Other-relative,Black,Male,0,0,15,United-States,<=50K +26,Private,291968,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K +73,Federal-gov,127858,Some-college,10,Widowed,Tech-support,Not-in-family,White,Female,3273,0,40,United-States,<=50K +27,Private,302406,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +37,Self-emp-not-inc,29054,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,84,United-States,<=50K +73,Self-emp-not-inc,336007,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +46,Federal-gov,349230,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,1848,40,United-States,>50K +36,Local-gov,101481,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,46704,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +49,Private,233639,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +68,Local-gov,31725,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,54850,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1590,50,United-States,<=50K +30,Private,293512,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +28,Private,375655,Bachelors,13,Never-married,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K +28,Private,105817,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +25,Local-gov,203408,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,162302,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +40,Private,163455,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,55,United-States,>50K +32,Local-gov,100135,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +60,?,41517,11th,7,Married-spouse-absent,?,Unmarried,Black,Female,0,0,20,United-States,<=50K +18,Private,102182,12th,8,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,30,United-States,<=50K +36,Private,414683,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K +26,Private,194352,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +24,Private,194096,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Female,0,0,45,United-States,<=50K +90,Local-gov,153602,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,6767,0,40,United-States,<=50K +20,Private,215495,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K +27,Private,164607,Bachelors,13,Separated,Tech-support,Own-child,White,Male,0,0,50,United-States,<=50K +58,Local-gov,34878,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +37,Private,126569,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K +65,?,315728,HS-grad,9,Widowed,?,Unmarried,White,Female,2329,0,75,United-States,<=50K +28,Private,22422,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Local-gov,178222,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +45,Local-gov,56841,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +23,Private,300275,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K +69,Local-gov,197288,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +58,Self-emp-not-inc,157786,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,110684,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +58,Self-emp-not-inc,140729,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +53,Federal-gov,90127,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K +44,Self-emp-inc,37997,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +31,Private,61308,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,171199,Bachelors,13,Divorced,Machine-op-inspct,Unmarried,Other,Female,0,0,40,Puerto-Rico,<=50K +48,Private,128432,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +46,Federal-gov,195023,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,122473,9th,5,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,625,40,United-States,<=50K +43,Private,171888,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Self-emp-inc,183784,10th,6,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +20,Private,219262,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,71379,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +19,?,234519,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K +35,Private,96824,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,242597,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,?,127388,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,204536,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +54,Private,143804,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,80680,Some-college,10,Married-civ-spouse,Sales,Own-child,White,Female,0,0,16,United-States,<=50K +36,Private,301227,5th-6th,3,Separated,Priv-house-serv,Unmarried,Other,Female,0,0,35,Mexico,<=50K +26,Self-emp-not-inc,201930,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +25,Local-gov,176616,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,353219,9th,5,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,126076,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Female,0,0,50,United-States,<=50K +31,Private,156493,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +48,Federal-gov,435503,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +52,Self-emp-inc,561489,Masters,14,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,50,United-States,<=50K +22,Federal-gov,100345,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,43,United-States,<=50K +18,Private,36275,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,25,United-States,<=50K +46,Private,110794,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Local-gov,143766,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +30,Federal-gov,76313,HS-grad,9,Married-civ-spouse,Armed-Forces,Other-relative,Amer-Indian-Eskimo,Male,0,0,48,United-States,<=50K +31,Private,121308,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,216672,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,89942,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,3674,0,45,United-States,<=50K +45,State-gov,103406,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K +30,State-gov,158291,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,455361,9th,5,Never-married,Other-service,Unmarried,White,Male,0,0,35,Mexico,<=50K +44,Private,225263,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,1408,46,United-States,<=50K +54,Private,225307,11th,7,Divorced,Craft-repair,Own-child,White,Female,0,0,50,United-States,>50K +36,Private,286115,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +50,Private,187830,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +26,Private,142506,Bachelors,13,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,35,United-States,<=50K +47,Local-gov,148576,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +36,Private,185325,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,37,United-States,<=50K +32,Self-emp-not-inc,27939,Some-college,10,Married-civ-spouse,Sales,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K +21,Private,383603,10th,6,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +30,Private,140790,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +34,Private,226629,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,Mexico,<=50K +51,Private,228516,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,45,Columbia,<=50K +55,Self-emp-not-inc,119762,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +43,Private,299197,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,149297,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K +28,Local-gov,202558,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +39,Private,175232,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +35,Self-emp-not-inc,157473,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +59,?,409842,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +26,Private,105787,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,36,United-States,<=50K +68,Private,144056,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,3818,0,40,United-States,<=50K +46,Private,45363,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,2824,40,United-States,>50K +21,Private,205838,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,37,United-States,<=50K +23,Private,115326,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +17,Private,186890,10th,6,Married-civ-spouse,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +23,Local-gov,304386,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,24529,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Male,0,0,15,United-States,<=50K +33,Private,183557,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,342730,Assoc-acdm,12,Separated,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +31,?,182191,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,4064,0,30,Canada,<=50K +56,Self-emp-not-inc,67841,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,351381,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +45,Private,293691,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,1590,40,Japan,<=50K +41,Self-emp-inc,220821,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +26,Private,190027,10th,6,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,30,United-States,<=50K +41,Private,343944,11th,7,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +46,Self-emp-inc,110457,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +47,State-gov,72333,HS-grad,9,Divorced,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +43,Self-emp-not-inc,193494,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +35,Private,334999,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +44,Self-emp-not-inc,274363,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +58,Self-emp-inc,113806,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,30,United-States,>50K +25,Private,52536,Assoc-acdm,12,Divorced,Tech-support,Own-child,White,Female,0,1594,25,United-States,<=50K +44,Private,187720,Assoc-voc,11,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +57,Private,104996,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,<=50K +24,Private,214555,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,52963,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +33,Private,190511,7th-8th,4,Divorced,Handlers-cleaners,Not-in-family,White,Male,2176,0,35,United-States,<=50K +25,Private,75821,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +33,Private,123291,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,84,United-States,>50K +50,Local-gov,226497,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,>50K +35,Private,282979,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,5178,0,50,United-States,>50K +36,Private,166549,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,55,United-States,>50K +27,Private,187746,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,157145,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +30,Private,227551,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +90,Private,115306,Masters,14,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +39,Private,169249,HS-grad,9,Separated,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K +34,State-gov,221966,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +39,Private,224566,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +19,Private,28119,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,4,United-States,<=50K +19,Private,323810,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,210498,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +66,Self-emp-not-inc,174995,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,2290,0,30,Hungary,<=50K +38,Private,161141,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K +44,Private,210534,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +34,Self-emp-not-inc,112650,7th-8th,4,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +35,State-gov,318891,Assoc-acdm,12,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Local-gov,375655,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,228465,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +33,?,102130,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +73,Private,183213,Assoc-voc,11,Widowed,Prof-specialty,Not-in-family,White,Male,25124,0,60,United-States,>50K +35,Local-gov,177305,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2377,40,United-States,<=50K +41,Private,34037,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Self-emp-not-inc,116613,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,50,United-States,<=50K +25,Private,175540,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K +47,Private,150768,Bachelors,13,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,1564,51,United-States,>50K +36,Private,176634,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,35,United-States,>50K +36,Private,209993,1st-4th,2,Widowed,Other-service,Other-relative,White,Female,0,0,20,Mexico,<=50K +25,Local-gov,206002,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,201259,11th,7,Divorced,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K +26,Local-gov,202286,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +53,Private,96062,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1740,40,United-States,<=50K +36,Local-gov,578377,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +30,Private,509500,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,4787,0,45,United-States,>50K +53,Local-gov,324021,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Self-emp-not-inc,107737,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +41,State-gov,129865,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +53,Private,103586,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,55,United-States,<=50K +23,Private,187513,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,32,United-States,<=50K +28,Private,172891,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +53,Local-gov,207449,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,209103,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,>50K +33,Private,408813,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +27,Private,209292,HS-grad,9,Never-married,Sales,Other-relative,Black,Female,0,0,32,Dominican-Republic,<=50K +52,Private,144361,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K +31,Private,209538,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,<=50K +27,Private,244402,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +44,Private,889965,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,3137,0,30,United-States,<=50K +37,Self-emp-not-inc,298444,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,163237,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +18,Private,311795,12th,8,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K +42,Private,155972,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +49,Private,291783,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +35,Private,153535,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,36,United-States,<=50K +43,Private,249771,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,99,United-States,<=50K +43,Private,462180,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K +31,Private,308540,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +27,Private,34701,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Federal-gov,106252,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +54,Private,138944,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K +37,Private,140713,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,Jamaica,>50K +53,Local-gov,216931,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,4386,0,40,United-States,>50K +26,Private,162312,Some-college,10,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,20,Philippines,<=50K +59,Self-emp-inc,253062,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +36,Federal-gov,359249,Some-college,10,Separated,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +32,Private,231413,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +53,Local-gov,197054,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +26,Private,130931,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +35,Private,30565,HS-grad,9,Married-AF-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K +48,Private,105138,HS-grad,9,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +30,Local-gov,178383,Some-college,10,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +38,Private,241998,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +58,Self-emp-not-inc,196403,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,10,United-States,>50K +44,Private,232421,HS-grad,9,Married-spouse-absent,Transport-moving,Not-in-family,Other,Male,0,0,32,Canada,<=50K +30,Private,130369,Assoc-voc,11,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +68,Self-emp-not-inc,336329,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,10,United-States,<=50K +26,Local-gov,337867,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K +26,Local-gov,104614,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +41,Private,223548,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +43,State-gov,506329,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,15024,0,40,?,>50K +48,Private,64479,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,47,United-States,<=50K +55,Private,284095,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,37,United-States,<=50K +50,Self-emp-not-inc,221336,Some-college,10,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,?,<=50K +41,Private,428499,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,50,United-States,>50K +52,Private,208302,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,36,United-States,<=50K +24,?,412156,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,Mexico,<=50K +31,Self-emp-not-inc,182177,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K +54,Local-gov,129972,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,>50K +31,Self-emp-not-inc,186420,Masters,14,Separated,Tech-support,Not-in-family,White,Female,0,0,25,United-States,<=50K +31,Self-emp-inc,203488,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +47,Private,128796,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +40,Private,55395,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +46,State-gov,314770,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K +45,Private,135044,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,319248,10th,6,Never-married,Other-service,Unmarried,White,Female,0,0,25,Mexico,<=50K +34,Local-gov,236415,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,18,United-States,<=50K +48,?,151584,Some-college,10,Never-married,?,Not-in-family,White,Male,8614,0,60,United-States,>50K +19,?,133983,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +56,Private,81220,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Canada,<=50K +47,Private,151087,HS-grad,9,Separated,Prof-specialty,Other-relative,Other,Female,0,0,40,Puerto-Rico,<=50K +35,Private,322171,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K +25,Private,190628,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Columbia,<=50K +43,Local-gov,106982,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +59,Private,227856,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,37,United-States,>50K +66,?,213477,7th-8th,4,Divorced,?,Not-in-family,White,Male,0,0,10,United-States,<=50K +63,Private,266083,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +32,Private,257068,Some-college,10,Married-spouse-absent,Transport-moving,Not-in-family,White,Female,0,0,37,United-States,<=50K +58,?,37591,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Self-emp-inc,150533,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,0,0,50,United-States,>50K +27,Private,211184,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,52,United-States,<=50K +21,Private,136610,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,32,United-States,<=50K +44,Federal-gov,244054,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,>50K +40,Self-emp-not-inc,240698,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +65,Private,172906,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +50,Private,238959,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +18,?,163085,HS-grad,9,Separated,?,Own-child,White,Male,0,0,20,United-States,<=50K +51,State-gov,172022,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +44,Federal-gov,218062,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +20,Private,201799,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,13,United-States,<=50K +29,Private,150717,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,94391,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +50,Local-gov,153064,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K +43,Private,156771,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,216639,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,82161,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +30,?,159159,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,30,United-States,<=50K +58,Self-emp-not-inc,310014,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K +50,State-gov,133014,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,36214,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,>50K +21,Private,399022,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,24,United-States,<=50K +33,Private,179758,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,20,United-States,<=50K +52,Private,48947,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +47,Private,201865,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,319122,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,14084,0,45,United-States,>50K +34,Private,155151,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Private,24106,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Philippines,>50K +31,Private,257863,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K +19,?,28967,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,379393,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,45,United-States,<=50K +45,Self-emp-not-inc,152752,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,3,United-States,<=50K +34,Private,154874,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,4416,0,30,United-States,<=50K +27,Private,154210,11th,7,Married-spouse-absent,Sales,Own-child,Asian-Pac-Islander,Male,0,0,35,India,<=50K +37,Private,335716,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +20,Private,94744,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K +32,Private,133861,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,13550,0,48,United-States,>50K +24,Private,240137,1st-4th,2,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,55,Mexico,<=50K +39,Private,80004,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,109702,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +62,Self-emp-not-inc,39610,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K +24,Private,90046,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,193855,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +46,Private,206889,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +44,Private,86298,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,149650,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,2559,48,United-States,>50K +25,Private,323139,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +44,Private,237993,Prof-school,15,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,?,<=50K +24,Private,36058,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +61,Private,163393,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K +45,Local-gov,93535,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Self-emp-not-inc,112952,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,48,United-States,<=50K +48,Private,182541,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K +26,Local-gov,73392,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K +40,?,507086,HS-grad,9,Divorced,?,Not-in-family,Black,Female,0,0,32,United-States,<=50K +68,Private,195868,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,20051,0,40,United-States,>50K +24,Private,276851,HS-grad,9,Divorced,Protective-serv,Own-child,White,Female,0,1762,40,United-States,<=50K +25,?,39901,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K +31,Local-gov,33124,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +55,Private,419732,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K +46,Private,171095,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Female,0,0,38,United-States,<=50K +58,Private,199278,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,38,United-States,<=50K +56,Private,235205,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Federal-gov,168232,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,55,United-States,>50K +24,Private,145964,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,>50K +35,Local-gov,72338,HS-grad,9,Divorced,Farming-fishing,Own-child,Asian-Pac-Islander,Male,0,0,56,United-States,<=50K +51,Private,153870,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +47,Private,323798,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,55,United-States,>50K +17,Private,198830,11th,7,Never-married,Adm-clerical,Other-relative,White,Female,0,0,10,United-States,<=50K +21,Private,267040,10th,6,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +45,Private,167187,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +42,Private,230684,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,5178,0,50,United-States,>50K +56,Private,659558,12th,8,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +39,Private,181661,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,186144,7th-8th,4,Never-married,Machine-op-inspct,Not-in-family,Other,Female,0,0,40,Mexico,<=50K +20,Federal-gov,178517,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +65,Self-emp-not-inc,131417,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,1797,0,21,United-States,<=50K +44,Private,57233,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +33,Private,379798,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,122175,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +38,Private,107302,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +31,Local-gov,127651,10th,6,Never-married,Transport-moving,Other-relative,White,Male,0,1741,40,United-States,<=50K +33,Self-emp-not-inc,102884,Bachelors,13,Married-civ-spouse,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +49,Self-emp-not-inc,241753,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,173611,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,232666,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,352207,Assoc-voc,11,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +37,Self-emp-not-inc,241998,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,5,United-States,>50K +52,Private,279129,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,37,United-States,>50K +27,Private,177057,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,155659,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,55,United-States,>50K +21,Private,251603,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Federal-gov,19914,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K +61,Private,115023,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +32,Private,101709,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +21,Private,313702,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +63,Private,250068,12th,8,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +34,Private,227359,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,42,United-States,<=50K +21,State-gov,196827,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Male,0,0,10,United-States,<=50K +44,Private,118550,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,33,United-States,<=50K +26,Private,285004,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,35,South,<=50K +36,Private,280169,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +39,Private,144608,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,?,>50K +52,Private,76860,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,8,Philippines,<=50K +44,Self-emp-not-inc,167280,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,334783,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +60,?,141580,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K +31,Private,226443,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,366065,Some-college,10,Never-married,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K +23,Private,225724,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,25,United-States,<=50K +81,State-gov,132204,1st-4th,2,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +39,Private,258276,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,3137,0,40,?,<=50K +38,Private,197711,10th,6,Divorced,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Portugal,<=50K +21,Private,30619,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K +28,Local-gov,335015,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,61272,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,106544,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,144169,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +27,Private,40295,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,99,United-States,<=50K +56,Private,266091,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,2907,0,52,Cuba,<=50K +57,Private,143030,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,30,?,<=50K +42,State-gov,192397,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K +43,Private,114351,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +48,?,63466,HS-grad,9,Married-spouse-absent,?,Unmarried,White,Female,0,0,32,United-States,<=50K +53,Private,132304,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Scotland,<=50K +58,Private,128162,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,24,United-States,<=50K +19,Private,125938,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,40,El-Salvador,<=50K +37,Private,170174,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,46,United-States,>50K +41,Self-emp-not-inc,203451,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,15,United-States,<=50K +31,Private,109917,7th-8th,4,Separated,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,114937,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +53,Local-gov,231196,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,238474,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K +56,Private,314149,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +55,Federal-gov,31728,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +51,Private,360131,5th-6th,3,Married-civ-spouse,Craft-repair,Other-relative,White,Female,0,0,40,United-States,<=50K +62,Private,141308,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,83411,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +45,?,119835,7th-8th,4,Divorced,?,Not-in-family,Amer-Indian-Eskimo,Male,0,0,48,United-States,<=50K +28,Local-gov,296537,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +46,Private,193047,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +62,State-gov,39630,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +57,Local-gov,213975,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +60,Local-gov,259803,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +23,Federal-gov,55465,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,181307,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,99999,0,60,United-States,>50K +21,Private,211301,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,8,United-States,<=50K +51,Private,200450,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,<=50K +61,Local-gov,176731,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +52,Self-emp-not-inc,140985,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,99999,0,30,United-States,>50K +76,Private,125784,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,152176,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,39,United-States,<=50K +31,Self-emp-not-inc,111423,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K +43,Private,130126,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +58,Federal-gov,30111,Some-college,10,Widowed,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +18,?,214989,Some-college,10,Never-married,?,Own-child,White,Female,0,1602,24,United-States,<=50K +19,Private,272800,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +44,Private,195881,Some-college,10,Divorced,Exec-managerial,Other-relative,White,Female,0,0,45,United-States,<=50K +41,Local-gov,170924,Some-college,10,Never-married,Prof-specialty,Other-relative,White,Male,0,0,7,United-States,<=50K +21,Private,131473,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,20,Vietnam,<=50K +40,Private,149466,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,Black,Male,0,0,35,United-States,<=50K +25,Private,190418,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,Canada,<=50K +62,Local-gov,167889,Doctorate,16,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,Iran,<=50K +42,Private,177989,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,186035,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,195805,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K +60,Private,54800,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +20,Private,100605,HS-grad,9,Never-married,Sales,Own-child,Other,Male,0,0,40,Puerto-Rico,<=50K +23,Private,253190,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,25,United-States,<=50K +18,Private,203301,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +40,Private,175696,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +19,Private,278304,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +51,Private,93193,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Local-gov,158688,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K +18,Private,327612,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +41,Private,210844,Some-college,10,Married-spouse-absent,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +27,Private,147340,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +71,Self-emp-not-inc,130436,1st-4th,2,Divorced,Craft-repair,Not-in-family,White,Female,0,0,28,United-States,<=50K +25,Private,206600,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,El-Salvador,<=50K +73,Private,284680,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +45,Private,127738,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,213412,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +50,Private,287927,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,16,United-States,<=50K +44,Private,249332,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Ecuador,<=50K +44,Local-gov,290403,Assoc-voc,11,Divorced,Protective-serv,Own-child,White,Female,0,0,40,Cuba,<=50K +49,Private,54772,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,45,United-States,>50K +44,Self-emp-inc,56651,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,45,United-States,>50K +42,Federal-gov,178470,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,62865,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,45,United-States,<=50K +66,Private,107196,HS-grad,9,Widowed,Tech-support,Not-in-family,White,Female,0,0,18,United-States,<=50K +19,Private,86860,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,15,United-States,<=50K +60,Private,130684,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +46,Private,164682,Assoc-voc,11,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,198316,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +59,Private,261816,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,52,Outlying-US(Guam-USVI-etc),<=50K +58,Private,280309,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,60,United-States,>50K +47,Private,97176,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +58,Private,95835,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,36,United-States,<=50K +69,?,323016,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,99999,0,40,United-States,>50K +17,?,280670,10th,6,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +19,Private,136306,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,24,United-States,<=50K +28,Private,65171,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,70,United-States,<=50K +37,Private,25864,HS-grad,9,Separated,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +30,Private,149531,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,33887,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,172822,11th,7,Divorced,Transport-moving,Not-in-family,White,Male,0,2824,76,United-States,>50K +59,Private,106748,7th-8th,4,Married-civ-spouse,Other-service,Wife,White,Female,0,0,99,United-States,<=50K +45,Private,131826,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +53,Local-gov,216691,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,10520,0,40,United-States,>50K +37,Private,133328,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Private,164737,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Local-gov,99064,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,State-gov,59460,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,<=50K +27,Private,208725,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,138513,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,121055,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,149784,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,114495,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +34,?,133278,12th,8,Separated,?,Unmarried,Black,Female,0,0,53,United-States,<=50K +32,Private,212276,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +32,Private,440129,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,Mexico,<=50K +47,Private,98012,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,40,United-States,>50K +27,Private,145284,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,177147,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,141537,10th,6,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,48093,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,92,United-States,<=50K +23,Local-gov,314819,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +44,Private,123572,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +19,Private,170800,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K +42,Private,332401,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Self-emp-not-inc,193038,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,15,United-States,<=50K +41,Private,351161,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1848,45,United-States,>50K +45,Federal-gov,106910,HS-grad,9,Never-married,Transport-moving,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +67,?,163726,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,49,United-States,<=50K +36,Self-emp-not-inc,609935,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,48,?,<=50K +52,State-gov,314627,Masters,14,Divorced,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +28,Private,115945,Doctorate,16,Never-married,Adm-clerical,Own-child,White,Male,0,0,18,United-States,<=50K +83,Self-emp-inc,272248,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K +17,Private,167878,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +27,Private,176972,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,31095,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K +40,Private,130834,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,207415,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,White,Female,0,0,25,United-States,<=50K +51,Local-gov,264457,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +51,Private,340588,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,54,Mexico,<=50K +82,?,42435,10th,6,Widowed,?,Not-in-family,White,Male,0,0,20,United-States,<=50K +28,Private,107411,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +53,Private,290640,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,Germany,>50K +29,Private,106179,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,Canada,<=50K +19,Private,247679,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +30,Private,171598,Bachelors,13,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +23,Private,234460,7th-8th,4,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,Dominican-Republic,<=50K +66,Private,196674,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,>50K +27,Private,182540,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,172694,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +17,Private,29571,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K +27,Private,130438,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,213421,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +44,Local-gov,189956,Bachelors,13,Married-civ-spouse,Protective-serv,Wife,Black,Female,15024,0,40,United-States,>50K +64,Private,133144,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,16,United-States,<=50K +62,Self-emp-inc,24050,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K +26,Private,276967,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,184857,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +40,Private,145160,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +35,Private,192251,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,190650,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K +52,Local-gov,255927,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,24,United-States,<=50K +46,Private,99086,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +30,Private,216811,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +52,Private,110563,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +28,Private,120471,HS-grad,9,Never-married,Transport-moving,Not-in-family,Other,Male,0,0,40,United-States,<=50K +17,Private,183066,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +46,State-gov,298786,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +45,Private,297884,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +21,Private,253612,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,1055,0,32,United-States,<=50K +18,Self-emp-not-inc,207438,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +17,Private,148522,11th,7,Never-married,Other-service,Own-child,White,Male,0,1721,15,United-States,<=50K +90,Private,139660,Some-college,10,Divorced,Sales,Unmarried,Black,Female,0,0,37,United-States,<=50K +23,Private,165474,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,120277,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +19,Self-emp-not-inc,67929,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K +69,Private,229418,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +23,Federal-gov,41356,Assoc-acdm,12,Never-married,Exec-managerial,Unmarried,White,Female,0,0,32,United-States,<=50K +28,Private,185127,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,54,United-States,<=50K +37,Private,109133,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,1977,45,United-States,>50K +57,Private,148315,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +30,Local-gov,145692,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Male,0,1974,40,United-States,<=50K +48,Private,210424,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,914,0,40,United-States,<=50K +73,Private,198526,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,0,0,32,United-States,<=50K +25,Private,521400,5th-6th,3,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K +33,Private,100882,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +36,Private,124818,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,190836,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3411,0,40,United-States,<=50K +57,Private,71367,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,303032,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +35,?,98989,9th,5,Divorced,?,Own-child,Amer-Indian-Eskimo,Male,0,0,38,United-States,<=50K +40,State-gov,390781,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,48,United-States,<=50K +32,Private,54782,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +35,?,202683,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,213081,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,Jamaica,<=50K +27,Self-emp-inc,89718,Some-college,10,Separated,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +17,Private,225106,10th,6,Never-married,Other-service,Own-child,White,Female,0,1602,18,United-States,<=50K +29,Private,253262,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,78181,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +20,Private,158206,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +69,?,337720,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K +18,State-gov,391257,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Private,134756,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +40,Private,183404,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,8,United-States,<=50K +46,Private,192793,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,203943,12th,8,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,?,<=50K +53,Private,89400,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +50,Private,237868,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +23,Private,139187,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K +40,Private,126701,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +54,Self-emp-inc,172175,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +45,Private,164210,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Local-gov,608184,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K +17,?,198797,11th,7,Never-married,?,Own-child,White,Male,0,0,20,Peru,<=50K +50,Local-gov,425804,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +22,?,117618,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,25,United-States,<=50K +30,Private,119164,Bachelors,13,Never-married,Other-service,Unmarried,White,Male,0,0,40,?,<=50K +40,Self-emp-inc,92036,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,State-gov,77146,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Self-emp-not-inc,191803,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +29,Private,54932,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,251694,Bachelors,13,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K +22,Private,268145,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Private,104842,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,50,Haiti,<=50K +60,Local-gov,227332,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +37,Private,212512,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3464,0,50,United-States,<=50K +53,Private,133436,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,State-gov,309055,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +18,Private,59202,HS-grad,9,Never-married,Priv-house-serv,Other-relative,White,Female,0,0,10,United-States,<=50K +36,Private,32709,Some-college,10,Divorced,Sales,Not-in-family,White,Female,3325,0,45,United-States,<=50K +67,Self-emp-inc,73559,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,9386,0,50,United-States,>50K +31,Private,117963,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,60,United-States,<=50K +26,Private,169121,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K +18,Private,308889,11th,7,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K +45,Local-gov,144940,Masters,14,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +64,Private,102041,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,335998,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K +53,Private,29557,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,210313,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,28,Guatemala,<=50K +32,Private,190784,Some-college,10,Divorced,Machine-op-inspct,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,107597,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,14084,0,30,United-States,>50K +59,Private,97168,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +44,Private,155930,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,55,United-States,>50K +61,Self-emp-not-inc,181033,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +41,?,344572,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +46,State-gov,170165,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,37,United-States,<=50K +32,Private,178835,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,118230,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +48,Private,149640,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,30271,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K +21,Private,154165,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,35,United-States,<=50K +50,Self-emp-not-inc,341797,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +44,Local-gov,145246,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K +51,Private,280093,HS-grad,9,Separated,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +42,Private,373469,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +27,Private,199172,Bachelors,13,Never-married,Protective-serv,Own-child,White,Female,0,0,40,United-States,<=50K +70,Self-emp-not-inc,177199,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,3,United-States,<=50K +33,Private,258932,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +65,Self-emp-not-inc,139960,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,10605,0,60,United-States,>50K +39,Private,258037,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,?,<=50K +32,Private,116677,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,59496,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Self-emp-inc,34218,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,200246,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +64,Federal-gov,316246,Bachelors,13,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +37,Local-gov,239161,Some-college,10,Separated,Protective-serv,Own-child,Other,Male,0,0,52,United-States,<=50K +49,Self-emp-not-inc,173411,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,259226,11th,7,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,48,United-States,<=50K +35,Local-gov,195516,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,200598,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1740,45,United-States,<=50K +42,State-gov,160369,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +21,?,415913,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,147253,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Local-gov,199674,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +29,State-gov,198493,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +23,Private,377121,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +21,Private,400635,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,?,<=50K +45,Private,513660,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,?,175069,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,50,United-States,<=50K +38,Private,82552,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,594,0,50,United-States,<=50K +28,?,78388,10th,6,Never-married,?,Own-child,White,Female,0,0,38,United-States,<=50K +23,Private,171705,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K +39,Self-emp-not-inc,315640,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,60,Iran,<=50K +45,Private,266860,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +68,Private,192829,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,<=50K +60,Federal-gov,237317,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Male,4934,0,40,United-States,>50K +38,State-gov,110426,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,40,?,>50K +41,Private,327606,12th,8,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +48,Private,34845,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +33,Private,58582,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,155659,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Local-gov,210029,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +26,Private,381618,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +55,Self-emp-inc,298449,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,50,United-States,>50K +35,State-gov,226789,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,75,United-States,<=50K +52,Private,210736,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,55,United-States,>50K +46,State-gov,111163,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +72,?,76860,HS-grad,9,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,1,United-States,<=50K +18,Private,92112,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +62,Local-gov,136787,HS-grad,9,Divorced,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K +22,Private,29810,Some-college,10,Never-married,Transport-moving,Own-child,White,Female,0,0,30,United-States,<=50K +40,Private,360884,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,7298,0,40,United-States,>50K +26,Private,266022,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,142874,Assoc-acdm,12,Married-spouse-absent,Sales,Own-child,Black,Female,0,0,36,United-States,<=50K +25,Self-emp-not-inc,72338,HS-grad,9,Never-married,Sales,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +46,?,177305,Assoc-voc,11,Married-civ-spouse,?,Wife,Black,Female,0,0,35,United-States,>50K +39,Private,165106,Bachelors,13,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,1564,50,?,>50K +41,Private,424478,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,45,United-States,>50K +59,Private,189721,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Italy,>50K +37,Private,34180,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,183279,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K +33,Private,35309,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,40,?,<=50K +23,Private,259109,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Puerto-Rico,<=50K +67,Self-emp-not-inc,148690,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Male,18481,0,2,United-States,>50K +60,Private,125019,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,8614,0,48,United-States,>50K +39,Self-emp-inc,172538,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +32,Self-emp-not-inc,410615,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,60,United-States,>50K +26,Private,322547,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +39,Private,300760,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,50,United-States,<=50K +28,Private,232782,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,174645,11th,7,Divorced,Craft-repair,Unmarried,White,Female,0,0,52,United-States,<=50K +43,Private,164693,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,206861,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,25,United-States,<=50K +32,Private,195602,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,45,United-States,>50K +33,Self-emp-not-inc,422960,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,60,United-States,>50K +45,Private,116360,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K +48,Private,278530,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +43,Local-gov,188291,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K +50,Self-emp-not-inc,163948,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +63,Private,64544,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,>50K +55,Private,101468,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K +22,Private,107882,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,35,United-States,<=50K +32,Self-emp-not-inc,182691,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,60,United-States,<=50K +27,Private,203776,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +22,Private,201268,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +44,Private,29762,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,68,United-States,<=50K +34,Private,186346,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,196690,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,99604,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,24,United-States,>50K +45,Private,194772,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +17,Private,95446,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +53,Self-emp-not-inc,257126,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +58,Private,194733,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +55,Self-emp-not-inc,98361,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +44,Local-gov,124924,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K +40,Self-emp-not-inc,111971,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +58,Self-emp-not-inc,130714,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,208358,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +62,Private,147627,9th,5,Never-married,Priv-house-serv,Not-in-family,Black,Female,1055,0,22,United-States,<=50K +31,Private,149507,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,3464,0,38,United-States,<=50K +31,Private,164870,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +30,Private,236861,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,1876,45,United-States,<=50K +37,Private,220314,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K +38,Local-gov,329980,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1876,40,Canada,<=50K +58,Local-gov,318537,12th,8,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,183284,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +28,Private,334368,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,4650,0,40,United-States,<=50K +46,Private,109227,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,70,United-States,<=50K +34,Private,118551,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Self-emp-inc,163057,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,99,United-States,<=50K +61,Self-emp-inc,253101,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +30,Self-emp-not-inc,20098,Assoc-voc,11,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,196227,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,175374,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +50,Private,234037,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,58,United-States,<=50K +47,Private,341762,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,33,United-States,<=50K +20,Private,174714,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,222835,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +46,Private,251786,1st-4th,2,Separated,Other-service,Not-in-family,White,Female,0,0,40,Mexico,<=50K +20,Private,164219,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K +33,Private,251120,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K +30,Private,236993,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K +43,Local-gov,105896,Some-college,10,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,211527,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,60,United-States,<=50K +34,Private,317809,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,?,>50K +25,Private,185287,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,31014,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +44,Private,151985,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,24,United-States,>50K +26,Private,89389,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,406051,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,80,United-States,>50K +48,Self-emp-not-inc,171986,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,15,United-States,<=50K +26,Private,167848,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +41,Local-gov,213019,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,211424,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,168981,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,White,Female,0,0,55,United-States,<=50K +24,Private,122348,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +31,Private,139753,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Local-gov,176178,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Female,0,0,2,United-States,<=50K +41,Private,145220,9th,5,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,40,Columbia,<=50K +38,Local-gov,188612,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +19,Private,445728,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,318002,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,235722,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,?,367984,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +67,Private,212705,Masters,14,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K +49,Private,411273,10th,6,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +35,Private,103986,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +44,Private,203761,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +58,?,266792,Some-college,10,Married-civ-spouse,?,Husband,White,Male,99999,0,40,United-States,>50K +22,Private,116800,Assoc-acdm,12,Never-married,Protective-serv,Own-child,White,Male,0,0,60,United-States,<=50K +21,State-gov,99199,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,10,United-States,<=50K +50,Private,162327,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +44,Local-gov,100479,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K +36,Local-gov,32587,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +30,Federal-gov,321990,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,48,Cuba,>50K +52,Private,108914,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +35,Self-emp-not-inc,61343,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,90,United-States,<=50K +48,Local-gov,81154,Assoc-voc,11,Never-married,Protective-serv,Unmarried,White,Male,0,0,48,United-States,<=50K +23,Private,162945,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,2377,40,United-States,<=50K +37,Private,225504,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +44,Self-emp-inc,191712,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,55,United-States,>50K +44,Private,176063,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +36,Private,198587,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,State-gov,34965,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,12,United-States,<=50K +31,Self-emp-inc,467108,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +23,?,263899,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,12,England,<=50K +29,Private,204984,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +53,Private,217568,HS-grad,9,Widowed,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K +52,Private,48343,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,193130,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1887,40,United-States,>50K +31,Private,253354,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +19,?,258026,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,16,United-States,<=50K +64,?,211360,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +55,Private,191367,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,148995,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +20,Private,123901,HS-grad,9,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K +50,Local-gov,117496,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,7298,0,30,United-States,>50K +45,Self-emp-inc,32356,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,51,United-States,<=50K +17,Private,206506,10th,6,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,10,El-Salvador,<=50K +38,Private,218729,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +43,Private,52498,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K +22,Private,136767,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +63,Private,219540,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,114059,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +56,Private,247337,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +43,State-gov,310969,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K +41,Private,171546,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +41,Private,217455,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,410489,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +59,Private,146391,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +46,Local-gov,165484,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K +23,Private,184271,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K +46,Self-emp-not-inc,231347,Some-college,10,Separated,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K +53,Private,95469,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,40,United-States,>50K +47,Private,244025,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Amer-Indian-Eskimo,Male,0,0,56,Puerto-Rico,<=50K +46,Federal-gov,46537,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,205730,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,>50K +29,Private,383745,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,30,United-States,>50K +32,Private,328199,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +90,Private,84553,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +63,Private,221072,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,49,?,<=50K +23,Private,123983,Assoc-voc,11,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +76,?,191024,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K +23,Private,167868,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,225879,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Other,Female,0,0,30,Mexico,>50K +81,Self-emp-inc,247232,10th,6,Married-civ-spouse,Exec-managerial,Wife,White,Female,2936,0,28,United-States,<=50K +17,Private,143791,10th,6,Never-married,Other-service,Own-child,Black,Female,0,0,12,United-States,<=50K +56,Private,177271,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +58,Federal-gov,129786,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,31339,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +25,Private,236267,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,130620,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,35,Philippines,>50K +32,Private,208180,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,24,United-States,>50K +25,Private,292058,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K +29,Federal-gov,142712,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +23,Private,119665,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,<=50K +41,Private,116825,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +48,State-gov,201177,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +29,Private,118337,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +27,?,173800,Masters,14,Never-married,?,Unmarried,Asian-Pac-Islander,Male,0,0,20,Taiwan,<=50K +55,Private,289257,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,190912,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,1651,40,Vietnam,<=50K +45,Private,140581,Some-college,10,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +50,Private,174102,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,Puerto-Rico,<=50K +22,Private,316509,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +80,Local-gov,20101,HS-grad,9,Widowed,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,32,United-States,<=50K +30,Private,187279,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,44,United-States,<=50K +20,Private,259496,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +29,Self-emp-not-inc,181466,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +56,Private,178202,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +63,Private,188976,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,203027,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +38,State-gov,142022,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +31,Private,119033,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,216181,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +47,Private,178341,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,46,United-States,>50K +25,Local-gov,244408,Bachelors,13,Never-married,Tech-support,Unmarried,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +31,Private,198953,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,38,United-States,<=50K +28,Private,173110,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,66326,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,<=50K +30,Local-gov,181091,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +39,Self-emp-inc,135500,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K +27,Private,133929,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,36,?,<=50K +26,Private,86483,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,167787,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +27,Self-emp-not-inc,208577,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,2258,50,United-States,<=50K +43,Private,216697,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Other,Male,0,0,32,United-States,<=50K +32,Local-gov,118457,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K +20,Private,298635,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,30,Philippines,<=50K +21,Local-gov,212780,12th,8,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,20,United-States,<=50K +32,Private,159187,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,237995,Assoc-voc,11,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,48,United-States,<=50K +45,Private,160724,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +37,Self-emp-inc,183800,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K +54,?,185936,9th,5,Divorced,?,Not-in-family,White,Female,0,0,15,United-States,<=50K +24,Private,161198,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,25,United-States,<=50K +28,?,113635,11th,7,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +23,Private,214542,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +54,?,172991,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,203761,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +38,Private,161141,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +71,Private,180117,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,317396,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +52,Self-emp-not-inc,237868,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,5,United-States,<=50K +30,Private,323069,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,181091,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +38,Private,309122,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Federal-gov,105936,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,13550,0,40,United-States,>50K +43,Private,40024,11th,7,Never-married,Transport-moving,Not-in-family,White,Male,0,0,42,United-States,<=50K +36,Federal-gov,192443,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,13550,0,40,United-States,>50K +24,State-gov,184216,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +29,?,256211,1st-4th,2,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +55,Private,205422,10th,6,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K +51,Private,22211,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,60,United-States,>50K +43,Local-gov,196308,HS-grad,9,Divorced,Exec-managerial,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +28,Private,389713,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,82566,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +47,Private,199058,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +47,Private,160440,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +47,Private,76034,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,57,United-States,>50K +38,Private,188503,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,6497,0,35,United-States,<=50K +60,Self-emp-not-inc,92845,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,29083,HS-grad,9,Never-married,Sales,Own-child,Amer-Indian-Eskimo,Female,0,0,25,United-States,<=50K +22,Private,234474,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,25,United-States,<=50K +55,Local-gov,107308,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +44,Private,111891,Some-college,10,Separated,Sales,Other-relative,Black,Female,0,0,35,United-States,<=50K +53,Self-emp-not-inc,145419,1st-4th,2,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,67,Italy,>50K +44,Local-gov,193425,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,4386,0,40,United-States,>50K +28,Federal-gov,188278,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Male,0,0,50,United-States,<=50K +30,Local-gov,303485,Some-college,10,Never-married,Transport-moving,Unmarried,Black,Female,0,0,40,United-States,<=50K +39,Local-gov,67187,HS-grad,9,Never-married,Exec-managerial,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +43,State-gov,114508,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,204172,Bachelors,13,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K +27,Local-gov,162973,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,56,United-States,<=50K +64,Self-emp-not-inc,192695,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,Canada,<=50K +41,Local-gov,89172,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +28,Private,163320,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +61,Private,128230,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +27,Private,246440,11th,7,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Private,50567,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K +20,Private,117476,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,315834,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1876,40,United-States,<=50K +28,Local-gov,214881,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,195516,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,218653,Bachelors,13,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,87205,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,20,United-States,>50K +40,Private,164647,Some-college,10,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,38,United-States,<=50K +19,Private,129151,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +54,Private,319697,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +55,Self-emp-not-inc,193374,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,167864,Assoc-voc,11,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,197932,Some-college,10,Separated,Priv-house-serv,Not-in-family,White,Female,0,0,30,Guatemala,<=50K +51,Private,102904,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,43,United-States,<=50K +44,Private,216907,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,37,United-States,<=50K +35,Local-gov,331395,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,42,United-States,<=50K +40,Private,171424,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,35406,7th-8th,4,Separated,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K +25,Private,238964,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +33,Private,213002,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,1408,36,United-States,<=50K +32,Private,27882,Some-college,10,Never-married,Machine-op-inspct,Other-relative,White,Female,0,2205,40,Holand-Netherlands,<=50K +22,Private,340543,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,70240,Some-college,10,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +18,Self-emp-not-inc,87169,HS-grad,9,Never-married,Farming-fishing,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +43,Private,253759,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,45,United-States,<=50K +46,Private,194431,HS-grad,9,Never-married,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K +63,Private,137843,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,48,United-States,>50K +40,?,170649,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +59,Private,182460,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +40,Local-gov,26929,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,399022,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +64,?,50171,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K +36,Private,218490,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +48,Private,164423,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,124436,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +18,Private,60981,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +17,Private,70868,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,16,United-States,<=50K +36,Private,150601,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,<=50K +53,Private,228500,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +36,State-gov,76767,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,39,United-States,<=50K +20,Private,218178,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,615367,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K +34,Private,150324,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +39,Private,51264,11th,7,Divorced,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +57,Private,197642,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,229895,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,167415,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +51,Private,166934,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +38,Private,305597,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +34,Private,301591,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,35,United-States,<=50K +47,Federal-gov,229646,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,Black,Female,0,0,40,Puerto-Rico,<=50K +28,Self-emp-not-inc,51461,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,206600,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,24,Nicaragua,<=50K +25,Private,176836,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +50,Private,204447,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,65,United-States,>50K +50,Private,33304,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +43,Private,174051,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +27,Private,38918,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,1876,75,United-States,<=50K +32,Private,170017,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +44,Private,98466,10th,6,Never-married,Farming-fishing,Unmarried,White,Male,0,0,35,United-States,<=50K +19,Private,188864,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,20,United-States,<=50K +53,Self-emp-inc,137815,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +21,Private,43475,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,557236,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +68,Private,32779,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,419,12,United-States,<=50K +31,Private,161765,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,2051,57,United-States,<=50K +32,Private,207668,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Male,0,2444,50,United-States,>50K +33,Private,171215,Masters,14,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +49,?,52590,HS-grad,9,Never-married,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K +24,Private,183751,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K +30,Private,149507,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,42,United-States,<=50K +49,Private,98092,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +18,Private,123714,11th,7,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +30,State-gov,190385,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K +51,Private,334273,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,343440,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,208302,HS-grad,9,Divorced,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K +23,Local-gov,280164,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,32,United-States,<=50K +23,Self-emp-not-inc,174714,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +36,Private,184655,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +19,Private,140459,11th,7,Never-married,Craft-repair,Other-relative,White,Male,0,0,25,United-States,<=50K +53,Self-emp-not-inc,108815,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +17,Private,152652,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +69,Private,269499,HS-grad,9,Widowed,Handlers-cleaners,Not-in-family,White,Female,0,0,8,United-States,<=50K +46,Local-gov,33373,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,243674,HS-grad,9,Separated,Tech-support,Not-in-family,White,Male,0,0,46,United-States,<=50K +40,Private,225432,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +56,Private,215839,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,?,<=50K +29,Local-gov,195520,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,70092,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +22,Private,189888,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +28,Private,64307,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,94235,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K +35,Private,62333,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,260997,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +17,Private,146268,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +39,Private,147258,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Self-emp-not-inc,207948,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +50,Private,180607,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +56,Local-gov,104996,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +80,Self-emp-not-inc,562336,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K +38,Self-emp-not-inc,334366,Some-college,10,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,15,United-States,<=50K +52,State-gov,142757,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K +26,Local-gov,220656,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Male,0,0,38,England,<=50K +43,Private,96483,HS-grad,9,Divorced,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,40,South,<=50K +45,Private,51744,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,42,United-States,<=50K +41,Self-emp-inc,114967,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +30,Private,393965,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +24,Private,41838,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2407,0,40,United-States,<=50K +43,Local-gov,143046,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +44,Private,209174,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K +54,Private,183248,HS-grad,9,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +23,Private,102942,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,2258,40,United-States,>50K +33,Self-emp-not-inc,427474,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +18,Private,338632,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +38,Private,89559,Some-college,10,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,Germany,<=50K +41,Self-emp-not-inc,32533,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +22,?,255969,12th,8,Never-married,?,Not-in-family,White,Male,0,0,48,United-States,<=50K +66,Self-emp-inc,112376,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +70,?,346053,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +58,Self-emp-not-inc,147653,10th,6,Married-civ-spouse,Craft-repair,Wife,White,Female,0,1977,35,?,>50K +60,Self-emp-not-inc,44915,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,10,United-States,<=50K +24,Local-gov,111450,10th,6,Never-married,Craft-repair,Unmarried,Black,Male,0,0,65,Haiti,<=50K +61,Private,171429,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K +35,Local-gov,190964,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,109005,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +52,Private,404453,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +38,Self-emp-not-inc,280169,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,50,United-States,>50K +39,Self-emp-not-inc,163204,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,192256,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +52,Private,181755,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,183105,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,44,Cuba,<=50K +37,Private,335168,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +38,Local-gov,86643,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +27,Private,180262,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,127865,Masters,14,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Self-emp-not-inc,146042,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,3103,0,60,United-States,>50K +49,Self-emp-not-inc,102110,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,30,United-States,>50K +38,Private,152237,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,?,>50K +22,Private,202745,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,55,United-States,<=50K +40,Federal-gov,199303,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +20,Private,266467,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Federal-gov,345259,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,99,United-States,<=50K +24,Private,204935,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,56,United-States,<=50K +58,Federal-gov,244830,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,4787,0,40,United-States,>50K +24,Private,190457,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +43,Private,180138,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +38,Private,166585,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +42,Private,29962,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,191129,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,378707,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +37,Private,116358,HS-grad,9,Never-married,Craft-repair,Other-relative,Amer-Indian-Eskimo,Male,27828,0,48,United-States,>50K +48,Private,240629,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K +40,Private,233320,7th-8th,4,Separated,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +50,Self-emp-inc,302708,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,7688,0,50,Japan,>50K +57,Private,29375,HS-grad,9,Separated,Sales,Not-in-family,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K +36,Local-gov,137314,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K +41,Private,140886,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +90,Private,226968,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +66,Private,151793,7th-8th,4,Widowed,Other-service,Not-in-family,Black,Female,0,0,10,United-States,<=50K +34,Self-emp-not-inc,56460,HS-grad,9,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,2179,12,United-States,<=50K +23,Private,72887,HS-grad,9,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,1,Vietnam,<=50K +35,Private,261646,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,55,United-States,<=50K +32,Private,178615,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2407,0,40,United-States,<=50K +33,Private,295589,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,50,United-States,>50K +32,Self-emp-inc,377836,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,56510,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,337696,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,183765,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +27,Self-emp-not-inc,107846,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,30,United-States,<=50K +34,Local-gov,22641,HS-grad,9,Never-married,Protective-serv,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +35,Private,204590,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,>50K +29,Private,114801,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,190591,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K +33,State-gov,220066,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,48,United-States,>50K +22,?,228480,HS-grad,9,Married-civ-spouse,?,Own-child,White,Female,0,0,20,United-States,<=50K +52,Private,128378,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +20,Private,157595,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,Local-gov,152171,11th,7,Never-married,Protective-serv,Own-child,White,Male,0,0,10,United-States,<=50K +63,Private,339755,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,>50K +49,Private,240841,7th-8th,4,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +58,Private,94345,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +23,Self-emp-not-inc,289116,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K +59,Private,176647,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +49,Self-emp-not-inc,79627,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +23,Local-gov,210781,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K +17,?,161981,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,493443,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,86459,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K +64,Private,312242,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,3,United-States,<=50K +34,Private,185408,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +63,Private,101077,Assoc-acdm,12,Married-spouse-absent,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,<=50K +51,Private,147200,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +40,State-gov,166327,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,35,United-States,<=50K +55,Private,178644,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +35,Private,126675,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,46,?,<=50K +30,Private,158420,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,25,United-States,<=50K +47,?,83046,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,18,United-States,<=50K +29,Private,46609,10th,6,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,?,<=50K +17,?,170320,11th,7,Never-married,?,Own-child,White,Female,0,0,8,United-States,<=50K +32,Self-emp-not-inc,37232,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K +55,Private,141877,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +47,Local-gov,81654,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,56,United-States,>50K +50,Private,177705,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,124792,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,7688,0,45,United-States,>50K +32,Self-emp-not-inc,129497,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +60,Private,114413,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +53,Private,189511,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,111625,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Male,8614,0,40,United-States,>50K +45,Private,246431,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +31,Private,147654,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,443546,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,281751,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +28,Private,263128,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +26,Private,292692,12th,8,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +47,Self-emp-inc,96798,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,>50K +34,Private,430554,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +42,Private,317078,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +48,Private,108557,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,99999,0,40,United-States,>50K +32,Private,207400,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +35,Private,187089,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,42,United-States,>50K +46,Local-gov,398986,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,52,United-States,>50K +38,Private,238980,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +49,?,407495,HS-grad,9,Married-spouse-absent,?,Not-in-family,White,Male,0,0,70,United-States,<=50K +35,Private,183800,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +61,?,226989,HS-grad,9,Divorced,?,Not-in-family,White,Male,4865,0,40,United-States,<=50K +45,Private,287190,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,Black,Male,0,0,35,United-States,<=50K +31,Private,111363,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Self-emp-inc,260938,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +20,Private,183594,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K +64,?,49194,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K +20,?,117618,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,172496,Masters,14,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K +29,Private,389713,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +23,Private,174413,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,State-gov,189843,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,198546,Masters,14,Widowed,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +21,Private,82497,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +23,Private,193090,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +79,Private,172220,7th-8th,4,Widowed,Priv-house-serv,Not-in-family,White,Female,2964,0,30,United-States,<=50K +55,Private,208451,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +42,?,234277,HS-grad,9,Married-spouse-absent,?,Not-in-family,White,Male,0,0,35,United-States,<=50K +60,Private,163729,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,2597,0,40,United-States,<=50K +37,Private,434097,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +47,Private,192053,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,1590,40,United-States,<=50K +20,State-gov,178628,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +53,Private,96827,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Canada,<=50K +34,Private,154667,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +43,Private,160246,Some-college,10,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +24,Self-emp-not-inc,166036,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +23,Private,186813,HS-grad,9,Never-married,Protective-serv,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +29,Private,162312,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,Other,Male,0,0,40,United-States,<=50K +58,Private,183893,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +55,?,270228,Assoc-acdm,12,Married-civ-spouse,?,Husband,Black,Male,7688,0,40,United-States,>50K +40,Private,111829,Masters,14,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +43,Federal-gov,175669,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +25,State-gov,104097,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Local-gov,117618,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,24,United-States,<=50K +34,Self-emp-inc,202450,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +26,Private,109570,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +60,Private,101096,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,65,United-States,>50K +39,Private,236391,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +21,Private,136975,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,167523,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2179,45,United-States,<=50K +33,Private,240979,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,248612,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,>50K +39,Private,151023,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,114,0,45,United-States,<=50K +29,Private,236436,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,8614,0,40,United-States,>50K +29,?,153167,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K +52,Private,61735,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,243165,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,>50K +24,Private,388885,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,48,United-States,<=50K +77,Self-emp-inc,84979,Doctorate,16,Married-civ-spouse,Farming-fishing,Husband,White,Male,20051,0,40,United-States,>50K +34,Self-emp-not-inc,87209,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +53,Self-emp-not-inc,168539,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +31,Private,179013,HS-grad,9,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +58,Private,196643,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K +50,Self-emp-not-inc,68898,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,7688,0,55,United-States,>50K +32,Private,156464,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,35884,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,182714,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +77,Private,344425,9th,5,Married-civ-spouse,Priv-house-serv,Wife,Black,Female,0,0,10,United-States,<=50K +37,Self-emp-not-inc,177277,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Private,70767,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +33,Self-emp-not-inc,520078,Assoc-acdm,12,Divorced,Sales,Unmarried,Black,Male,0,0,60,United-States,<=50K +53,Local-gov,321770,HS-grad,9,Married-spouse-absent,Transport-moving,Other-relative,White,Female,0,0,35,United-States,<=50K +32,Private,158416,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +30,Private,312667,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,208656,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,594,0,20,United-States,<=50K +33,Private,31481,Bachelors,13,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K +31,Private,259531,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,186239,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +19,Private,162954,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +27,Private,249315,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +21,Private,308237,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +24,Private,103064,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,185847,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,54,United-States,<=50K +31,Private,168521,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +60,Private,198170,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +21,Private,353628,10th,6,Separated,Sales,Unmarried,Black,Female,0,0,38,United-States,<=50K +38,?,273285,11th,7,Never-married,?,Not-in-family,White,Female,0,0,32,United-States,<=50K +31,Private,272069,Assoc-voc,11,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,22328,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +46,Private,309212,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,25,United-States,<=50K +25,Self-emp-inc,148888,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +23,Local-gov,324637,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K +53,Self-emp-inc,55139,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +42,?,212206,Masters,14,Married-civ-spouse,?,Wife,White,Female,0,1887,48,United-States,>50K +29,Private,119004,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,2179,40,United-States,<=50K +45,Private,252079,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +70,Private,315868,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +55,Self-emp-inc,392325,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,60,United-States,>50K +40,State-gov,174283,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,50,United-States,>50K +17,Private,126832,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +18,Private,126071,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,265706,Masters,14,Never-married,Sales,Unmarried,White,Male,0,0,60,United-States,>50K +41,Private,282964,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,328518,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,State-gov,283499,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,286675,Some-college,10,Never-married,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,<=50K +56,Private,136472,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,48,United-States,<=50K +36,Private,132879,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,45,United-States,<=50K +26,Private,314798,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K +62,Private,143943,Bachelors,13,Widowed,Tech-support,Unmarried,White,Female,0,0,7,United-States,<=50K +35,Private,134367,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Local-gov,366796,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,195573,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +21,Private,33616,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +31,Private,164190,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,380281,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,25,Columbia,<=50K +58,Self-emp-inc,190763,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +55,Local-gov,209535,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +54,Private,156003,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,55699,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,3908,0,40,United-States,<=50K +28,Private,183151,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,7688,0,40,United-States,>50K +40,Private,198790,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,United-States,<=50K +33,Self-emp-not-inc,272359,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,80,United-States,>50K +27,Private,236481,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,10,India,<=50K +55,Private,143266,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,0,0,25,United-States,<=50K +53,Private,192386,HS-grad,9,Separated,Transport-moving,Unmarried,White,Male,0,0,45,United-States,<=50K +23,Private,99543,12th,8,Never-married,Transport-moving,Not-in-family,White,Male,0,0,46,United-States,<=50K +66,Private,169435,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,16,United-States,<=50K +34,Self-emp-not-inc,34572,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +39,Private,119272,10th,6,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,211601,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +26,Private,154785,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,Other,Female,0,0,35,United-States,<=50K +21,Private,213041,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Cuba,<=50K +59,Private,229939,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,175331,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,226443,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +22,Private,46561,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,161311,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,30,United-States,<=50K +50,Private,98215,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +67,Private,118363,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,2206,5,United-States,<=50K +59,Local-gov,181242,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,356238,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Female,0,0,80,United-States,>50K +56,Self-emp-not-inc,39380,Some-college,10,Married-spouse-absent,Farming-fishing,Not-in-family,White,Female,27828,0,20,United-States,>50K +28,Private,315287,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,40,?,<=50K +34,Private,269723,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,2977,0,50,United-States,<=50K +63,Private,34098,10th,6,Widowed,Farming-fishing,Unmarried,White,Female,0,0,56,United-States,<=50K +48,Private,50880,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,<=50K +41,Federal-gov,356934,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K +26,Private,276309,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,20,United-States,<=50K +47,Private,175925,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,2179,52,United-States,<=50K +29,Self-emp-not-inc,164607,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,224462,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,92863,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +27,Private,179565,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K +59,Self-emp-not-inc,31137,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +19,Private,199495,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,175262,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K +37,Private,220585,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Local-gov,231793,Doctorate,16,Married-spouse-absent,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K +34,Federal-gov,191342,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,38,United-States,<=50K +30,Private,186420,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,35,United-States,<=50K +30,Private,328242,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Hong,>50K +56,Private,279340,11th,7,Separated,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +19,Private,174478,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +37,Private,151771,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,145636,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,43,United-States,>50K +21,Private,120326,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +34,Self-emp-not-inc,246439,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +27,Private,144133,Bachelors,13,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,0,0,50,United-States,<=50K +44,Local-gov,145522,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,312055,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,235847,Some-college,10,Never-married,Exec-managerial,Other-relative,White,Female,0,0,50,United-States,<=50K +37,Private,187748,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,396482,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K +49,Private,261688,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,60,United-States,<=50K +20,Private,39477,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +37,Private,143058,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,216867,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,Mexico,<=50K +44,Private,230592,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,35,United-States,<=50K +30,Local-gov,40338,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Local-gov,115457,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,374983,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,285419,12th,8,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,?,385901,Some-college,10,Never-married,?,Own-child,White,Male,0,0,22,United-States,<=50K +45,State-gov,187581,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +38,Self-emp-inc,299036,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +42,Private,68729,Some-college,10,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +27,Private,333990,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +20,Private,117767,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K +43,Private,184378,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +21,Private,232591,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,143851,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,89622,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,80,United-States,>50K +34,Private,202498,12th,8,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Dominican-Republic,<=50K +72,Private,268861,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,99,?,<=50K +54,Private,343242,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K +30,Private,460408,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +63,Private,205246,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +36,Private,230329,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +25,Private,197871,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +72,?,201375,Assoc-acdm,12,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Private,194290,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,191814,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +41,Private,95168,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +20,?,137876,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,386136,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +71,?,108390,Some-college,10,Married-civ-spouse,?,Husband,White,Male,3432,0,20,United-States,<=50K +41,Private,152529,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +35,Private,214891,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Other,Male,0,0,40,Dominican-Republic,<=50K +18,Private,133654,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +23,Private,147548,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +57,Private,73051,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +56,Self-emp-not-inc,60166,1st-4th,2,Never-married,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Male,0,0,65,United-States,<=50K +25,Self-emp-inc,454934,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +64,?,338355,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,0,15,United-States,<=50K +35,Self-emp-not-inc,185621,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +61,Private,101500,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +36,State-gov,36397,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K +18,Private,276540,12th,8,Never-married,Sales,Own-child,Black,Female,0,0,15,United-States,<=50K +21,Private,293968,Some-college,10,Married-spouse-absent,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K +43,?,35523,Assoc-acdm,12,Divorced,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +32,Local-gov,186993,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,232132,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +48,Private,176917,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +40,Private,105936,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,105821,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K +22,?,34506,Some-college,10,Separated,?,Unmarried,White,Female,0,0,25,United-States,<=50K +42,Private,178074,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +60,?,116961,7th-8th,4,Widowed,?,Unmarried,White,Female,0,0,20,United-States,<=50K +34,Private,191930,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +27,Private,130807,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,94100,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,65,United-States,<=50K +65,Self-emp-not-inc,144822,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +61,Self-emp-inc,102191,Masters,14,Widowed,Exec-managerial,Unmarried,White,Female,0,0,99,United-States,<=50K +18,Private,90934,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,28,United-States,<=50K +49,?,296892,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +48,Private,173243,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +26,Private,258768,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,2174,0,75,United-States,<=50K +30,Private,189759,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +68,Self-emp-not-inc,69249,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K +23,Private,133061,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,<=50K +65,Self-emp-not-inc,175202,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,24,United-States,<=50K +32,Private,27051,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,44,United-States,<=50K +44,Private,60414,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +48,Local-gov,317360,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +24,Private,258298,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K +58,Private,174040,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Local-gov,177566,Some-college,10,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,50,Germany,<=50K +54,Private,162238,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +35,Private,87556,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +35,Private,144322,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +24,Private,190015,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +50,Private,183173,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K +38,Self-emp-not-inc,151322,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Local-gov,47392,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,Private,107125,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +49,Private,265295,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,189219,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,16,United-States,<=50K +56,Private,147989,Some-college,10,Married-spouse-absent,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,185732,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,153516,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,?,191910,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K +33,Private,216145,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,202872,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,12,United-States,<=50K +62,Self-emp-not-inc,39630,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K +24,?,114292,9th,5,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +26,Local-gov,206721,Bachelors,13,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,358585,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,>50K +33,Private,377283,Bachelors,13,Separated,Sales,Not-in-family,White,Female,0,0,50,United-States,>50K +65,?,76043,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,1,United-States,>50K +65,Without-pay,172949,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,2414,0,20,United-States,<=50K +46,Private,110171,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +43,Local-gov,223861,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,163455,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +35,Private,183892,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,47022,HS-grad,9,Widowed,Handlers-cleaners,Other-relative,White,Female,0,0,48,United-States,<=50K +55,Federal-gov,145401,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +45,Private,387074,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,105363,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,4508,0,40,United-States,<=50K +59,Federal-gov,195467,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Local-gov,170217,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,156807,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,10,United-States,<=50K +26,Private,255193,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,3411,0,40,United-States,<=50K +38,Private,273640,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,191177,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +48,Self-emp-inc,184787,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +37,State-gov,239409,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +63,Self-emp-not-inc,404547,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +27,State-gov,23740,HS-grad,9,Never-married,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Male,0,0,38,United-States,>50K +20,Private,382153,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K +26,Private,164488,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +21,?,228424,10th,6,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,168539,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,189530,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +39,Private,89419,Assoc-voc,11,Divorced,Other-service,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,Columbia,<=50K +35,Private,224512,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +21,?,314645,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,43,United-States,<=50K +65,Private,85787,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +54,Local-gov,279881,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +39,Private,194287,7th-8th,4,Never-married,Other-service,Own-child,White,Male,0,1602,35,United-States,<=50K +24,Private,141040,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +36,Private,222294,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +70,?,410980,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,>50K +52,Private,38795,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K +64,Private,182979,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,223277,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,67065,Assoc-voc,11,Never-married,Priv-house-serv,Not-in-family,White,Male,594,0,25,United-States,<=50K +47,Federal-gov,160647,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,45796,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,110597,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +33,Private,166961,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +52,Private,318975,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,Cuba,<=50K +49,Private,305657,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,120857,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,18,United-States,<=50K +62,Self-emp-not-inc,158712,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,6,United-States,<=50K +44,Private,304530,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K +28,Local-gov,327533,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,3908,0,40,United-States,<=50K +68,Local-gov,233954,Masters,14,Widowed,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,>50K +40,Federal-gov,26880,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +46,Private,70754,7th-8th,4,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K +22,Private,184665,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +37,Self-emp-not-inc,245372,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Male,0,0,15,United-States,<=50K +62,Private,252668,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,<=50K +37,Private,86551,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +35,Private,241998,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,4787,0,40,United-States,>50K +44,Private,106900,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,68,United-States,<=50K +41,Private,204235,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +36,Local-gov,127772,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +26,Private,117217,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K +48,Federal-gov,215389,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K +21,Private,198050,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K +39,Private,173476,Prof-school,15,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +38,Private,217349,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,14344,0,40,United-States,>50K +44,Private,377018,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +56,Private,99894,10th,6,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,0,30,Japan,>50K +25,Private,170786,9th,5,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K +32,Local-gov,250585,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +47,Private,198769,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K +26,Private,306513,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,178623,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,14084,0,60,United-States,>50K +23,Private,109307,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +41,Federal-gov,106982,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K +55,Self-emp-not-inc,396878,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,25,United-States,<=50K +23,Private,344278,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,25,United-States,<=50K +45,Private,203653,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,7298,0,40,United-States,>50K +42,Local-gov,227890,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,40,United-States,<=50K +29,Private,107812,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,15,United-States,<=50K +48,Private,185143,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,143068,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +52,Self-emp-inc,114758,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +46,Private,266337,Assoc-voc,11,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +34,Private,321787,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +27,State-gov,21306,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Germany,<=50K +18,Private,271935,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +18,Private,148952,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K +42,Private,196626,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +64,?,108082,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,199439,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +20,?,304076,11th,7,Never-married,?,Own-child,Black,Female,0,0,20,United-States,<=50K +52,Self-emp-inc,81436,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +44,Self-emp-inc,352971,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +53,Private,375134,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +36,Private,206521,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +27,Private,330466,Bachelors,13,Never-married,Tech-support,Other-relative,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +52,Private,208302,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K +60,Self-emp-not-inc,135285,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,171615,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +64,Self-emp-not-inc,149698,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +25,Private,71351,1st-4th,2,Never-married,Other-service,Other-relative,White,Male,0,0,25,El-Salvador,<=50K +63,Private,84737,7th-8th,4,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K +54,Local-gov,375134,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,207103,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,199314,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,Poland,<=50K +63,Self-emp-not-inc,289741,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,41310,0,50,United-States,<=50K +37,Private,240837,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +22,Private,283499,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,35,United-States,<=50K +54,Private,97778,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,21698,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +60,Local-gov,232618,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,175820,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +25,Local-gov,63996,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Local-gov,182985,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +47,Federal-gov,380127,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Self-emp-not-inc,111483,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +18,?,31008,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +57,Private,96346,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,57,United-States,<=50K +22,Private,317528,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,34,United-States,<=50K +36,State-gov,223020,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K +33,?,173998,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,1485,38,United-States,<=50K +39,Private,115076,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,133969,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,50,United-States,>50K +41,Private,173858,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K +35,Private,193241,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K +40,Self-emp-inc,50644,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Female,1506,0,40,United-States,<=50K +30,Private,178841,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,177017,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,1504,37,United-States,<=50K +25,Private,253267,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,1902,36,United-States,>50K +37,Private,202027,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,50,United-States,>50K +53,Self-emp-not-inc,321865,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K +34,Self-emp-not-inc,321709,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K +22,Private,166371,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,?,<=50K +18,Private,210574,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +52,?,92968,Masters,14,Married-civ-spouse,?,Wife,White,Female,15024,0,40,United-States,>50K +45,Private,474617,HS-grad,9,Divorced,Sales,Unmarried,Black,Male,5455,0,40,United-States,<=50K +19,Private,264390,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,2001,40,United-States,<=50K +33,Self-emp-inc,144949,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K +45,State-gov,90803,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +43,State-gov,126701,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +40,Private,178417,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +41,Self-emp-not-inc,197176,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,75,United-States,>50K +25,Private,182227,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1579,40,United-States,<=50K +22,Private,117606,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,32,United-States,<=50K +52,Private,349502,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,45,United-States,<=50K +45,Federal-gov,81487,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Puerto-Rico,>50K +32,State-gov,169583,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,70,United-States,<=50K +26,Private,485117,Bachelors,13,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K +24,Private,35603,Some-college,10,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +37,Private,175390,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +49,Private,184986,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Local-gov,174395,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,187711,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,189878,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +17,Private,224073,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +48,Private,159726,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K +40,?,65545,Masters,14,Divorced,?,Own-child,White,Female,0,0,55,United-States,<=50K +26,Private,456618,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,2597,0,40,United-States,<=50K +35,Private,202397,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +21,Private,206681,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +54,Private,222020,10th,6,Divorced,Other-service,Not-in-family,White,Male,0,0,70,United-States,<=50K +40,Private,137304,Bachelors,13,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +51,Private,141645,Some-college,10,Separated,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +60,Self-emp-not-inc,218085,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,50,United-States,<=50K +22,Private,52596,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,8,United-States,<=50K +20,Private,197997,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,191444,11th,7,Never-married,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K +21,Private,40767,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,172577,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,44,United-States,<=50K +36,Private,241998,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +65,State-gov,215908,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,2174,40,United-States,>50K +48,Private,212120,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +37,Private,109133,Masters,14,Separated,Exec-managerial,Not-in-family,White,Male,27828,0,60,Iran,>50K +20,Private,224424,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +41,State-gov,214985,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Self-emp-not-inc,147098,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +39,Local-gov,149833,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Federal-gov,253770,Some-college,10,Married-civ-spouse,Transport-moving,Wife,White,Female,7298,0,40,United-States,>50K +80,Private,252466,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,24,United-States,<=50K +59,State-gov,132717,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,138944,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Private,280570,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,50,United-States,>50K +56,Self-emp-not-inc,144380,Some-college,10,Married-spouse-absent,Prof-specialty,Not-in-family,Black,Male,0,0,50,United-States,<=50K +69,Local-gov,660461,HS-grad,9,Widowed,Adm-clerical,Not-in-family,Black,Female,0,0,20,United-States,<=50K +49,Private,177211,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +33,Private,197424,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,40,United-States,<=50K +28,Self-emp-inc,31717,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +49,Private,296849,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +51,Local-gov,193720,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +42,Private,106698,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K +66,Private,214469,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,13,United-States,<=50K +44,Private,185798,Assoc-voc,11,Separated,Craft-repair,Other-relative,White,Male,0,0,48,United-States,>50K +26,Private,333108,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,35210,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,140845,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,155,40,United-States,<=50K +25,?,335376,Bachelors,13,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +17,Private,170455,11th,7,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K +52,Private,298215,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +34,?,93834,HS-grad,9,Separated,?,Own-child,White,Female,0,0,8,United-States,<=50K +24,Private,404416,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,?,206916,Bachelors,13,Married-spouse-absent,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +65,Private,143175,Some-college,10,Widowed,Sales,Other-relative,White,Female,0,0,45,United-States,<=50K +36,Self-emp-not-inc,409189,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +19,Private,285750,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,30,United-States,<=50K +43,Private,235556,Some-college,10,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,45,Mexico,<=50K +39,Local-gov,170382,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,England,>50K +48,Private,195437,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +50,Local-gov,191130,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +21,Private,231160,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +36,Private,47310,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +33,Private,214635,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,36,Haiti,<=50K +50,Federal-gov,65160,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +49,State-gov,423222,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,99999,0,80,United-States,>50K +34,Private,263307,Bachelors,13,Never-married,Sales,Unmarried,Black,Male,0,0,45,?,<=50K +70,Self-emp-inc,272896,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +39,Private,232854,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,442035,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,127875,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K +40,Private,283724,9th,5,Never-married,Craft-repair,Other-relative,Black,Male,0,0,49,United-States,<=50K +46,Private,403911,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,1902,40,United-States,>50K +21,?,228649,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +40,Private,177027,Bachelors,13,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,7688,0,52,Japan,>50K +47,Private,249935,11th,7,Divorced,Craft-repair,Own-child,White,Male,0,0,8,United-States,<=50K +19,Private,533147,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K +22,Private,137862,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,16,United-States,<=50K +20,Private,249543,Some-college,10,Never-married,Protective-serv,Own-child,White,Female,0,0,16,United-States,<=50K +46,Local-gov,230979,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,4787,0,25,United-States,>50K +41,Private,137126,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,45,United-States,>50K +17,Private,147339,10th,6,Never-married,Prof-specialty,Own-child,Other,Female,0,0,15,United-States,<=50K +41,Private,256647,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +28,Private,111696,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,1974,40,United-States,<=50K +20,?,150084,Some-college,10,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +24,Private,285457,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,303867,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +44,Federal-gov,113597,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +26,Self-emp-not-inc,151626,HS-grad,9,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K +47,Self-emp-not-inc,26145,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +24,Private,176189,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +58,Federal-gov,497253,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +41,Private,41090,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2002,60,United-States,<=50K +38,Self-emp-not-inc,282461,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K +21,Private,225541,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,203488,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K +23,?,296613,Some-college,10,Never-married,?,Own-child,White,Female,0,0,32,United-States,<=50K +40,Private,99373,10th,6,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Local-gov,109705,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,144947,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +38,Private,617898,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +50,Private,38310,7th-8th,4,Divorced,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +45,Private,248993,HS-grad,9,Married-spouse-absent,Farming-fishing,Other-relative,Black,Male,0,0,40,United-States,<=50K +65,?,149131,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,Italy,>50K +33,Private,69311,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Federal-gov,143766,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +65,Private,213477,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,28,United-States,<=50K +24,Private,275691,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,39,United-States,<=50K +26,Private,59367,Bachelors,13,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +55,Private,35551,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +66,Private,236784,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,8,Cuba,<=50K +43,Local-gov,193755,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,315291,Bachelors,13,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K +22,Private,290504,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,256240,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +69,?,199591,Prof-school,15,Married-civ-spouse,?,Wife,White,Female,0,0,25,?,<=50K +27,Private,178709,Masters,14,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,449354,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,4386,0,45,United-States,>50K +24,Private,187937,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +18,Never-worked,157131,11th,7,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K +53,Local-gov,188772,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +26,Private,157617,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Poland,<=50K +60,Private,96099,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +21,Private,122322,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,60,United-States,<=50K +39,Private,409189,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +45,Private,175925,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +76,Self-emp-not-inc,236878,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +19,Private,216647,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +34,Private,300681,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,Jamaica,>50K +54,Private,327769,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,194723,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Local-gov,31251,7th-8th,4,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,212506,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,23037,12th,8,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,29054,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +41,Private,92733,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +21,State-gov,184678,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +37,Federal-gov,32528,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,England,>50K +63,Private,125954,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,2174,0,40,United-States,<=50K +35,Private,73715,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,209212,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,56,?,<=50K +41,Private,287037,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Self-emp-not-inc,64667,HS-grad,9,Divorced,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,60,Vietnam,<=50K +26,Self-emp-inc,366662,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K +36,Local-gov,113337,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,42,United-States,>50K +47,Private,387468,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Scotland,>50K +51,Private,384248,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,50,United-States,<=50K +41,Private,332703,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Other,Female,0,625,40,United-States,<=50K +40,Private,198873,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,30,United-States,>50K +32,Private,317809,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,4064,0,50,United-States,<=50K +37,Local-gov,160910,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K +40,Self-emp-inc,182629,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Private,267652,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,410186,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,365411,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,<=50K +28,Private,205337,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +19,Self-emp-not-inc,100999,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +44,Private,197462,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,199143,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,7430,0,44,United-States,>50K +47,Private,191978,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +31,Private,50178,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,72442,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +21,Private,248512,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +26,Private,178140,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,>50K +58,Private,354024,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +35,Private,143589,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +35,Private,219902,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +29,Local-gov,419722,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,3674,0,40,United-States,<=50K +40,Private,154374,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +33,Private,132601,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +38,Self-emp-not-inc,29430,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +50,Self-emp-not-inc,30731,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K +66,Private,210825,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +36,Local-gov,251091,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +33,Private,219034,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Federal-gov,35723,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +46,Private,358886,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,248708,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,?,77937,12th,8,Divorced,?,Not-in-family,White,Female,0,0,40,Canada,<=50K +30,Private,30063,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K +29,Private,253799,12th,8,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,42,England,<=50K +60,?,41553,Some-college,10,Widowed,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +24,Private,59146,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K +42,Self-emp-not-inc,343609,Some-college,10,Separated,Other-service,Unmarried,Black,Female,0,0,50,United-States,<=50K +26,Private,216010,HS-grad,9,Separated,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +37,Private,164526,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,150958,5th-6th,3,Never-married,Farming-fishing,Unmarried,White,Male,0,0,48,Guatemala,<=50K +26,Private,244495,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +23,Private,199336,Assoc-voc,11,Never-married,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K +60,Private,151369,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +49,Federal-gov,118701,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +46,Private,219611,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,184568,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Self-emp-not-inc,246891,Prof-school,15,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +70,Self-emp-inc,243436,9th,5,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +44,Local-gov,68318,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,55,United-States,<=50K +58,Private,56331,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,190591,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,Jamaica,<=50K +54,Private,140359,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,White,Female,0,3900,40,United-States,<=50K +42,Self-emp-inc,23510,Masters,14,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Male,0,2201,60,India,>50K +28,Private,122540,10th,6,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +65,Private,212562,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,20,United-States,<=50K +35,Self-emp-not-inc,112497,HS-grad,9,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,35,Ireland,<=50K +82,Private,147729,5th-6th,3,Widowed,Other-service,Unmarried,White,Male,0,0,20,United-States,<=50K +48,Self-emp-not-inc,296066,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +44,Private,148138,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,15024,0,40,Japan,>50K +68,Private,50351,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,6360,0,20,United-States,<=50K +42,Private,306496,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,210029,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,2001,37,United-States,<=50K +54,Private,163894,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +22,Private,113936,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,316820,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K +17,Private,53367,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +46,Self-emp-not-inc,95256,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +59,Private,127728,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +37,Private,66686,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +70,?,207627,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2228,0,24,United-States,<=50K +57,Self-emp-inc,199768,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,30,United-States,>50K +47,?,186805,HS-grad,9,Married-civ-spouse,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +31,Private,154297,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,24,United-States,<=50K +23,Private,103064,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +17,Private,93235,12th,8,Never-married,Other-service,Own-child,White,Female,0,1721,25,United-States,<=50K +63,Private,440607,Preschool,1,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,30,Mexico,<=50K +44,Private,212894,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K +30,Private,167990,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +23,Private,378460,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +44,Private,151089,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,60,United-States,>50K +24,Private,153583,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,114639,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,20,United-States,<=50K +37,Private,344480,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K +24,Private,188300,11th,7,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,105938,HS-grad,9,Divorced,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +42,Self-emp-not-inc,217826,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,25,Jamaica,<=50K +20,Private,379525,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +34,State-gov,177331,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,4386,0,40,United-States,>50K +37,Private,127918,Some-college,10,Never-married,Transport-moving,Unmarried,White,Female,0,0,20,Puerto-Rico,<=50K +47,Federal-gov,27067,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,250038,9th,5,Never-married,Farming-fishing,Other-relative,White,Male,0,0,45,Mexico,<=50K +36,Self-emp-not-inc,36270,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1977,65,United-States,>50K +60,Private,308608,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +64,Self-emp-inc,213574,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2635,0,10,United-States,<=50K +32,Local-gov,235109,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +33,State-gov,374905,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +71,Private,118876,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,14,United-States,<=50K +55,Local-gov,223716,Some-college,10,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +85,Self-emp-not-inc,166027,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +57,Self-emp-not-inc,275943,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K +39,Private,198654,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,2415,67,India,>50K +25,Private,109080,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,55,United-States,<=50K +58,Private,104333,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +57,Private,195876,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,390879,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,36,United-States,<=50K +19,Private,197748,11th,7,Divorced,Sales,Unmarried,White,Female,0,0,20,United-States,<=50K +40,Private,442045,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +28,Private,44216,HS-grad,9,Never-married,Protective-serv,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +43,Federal-gov,114537,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +40,?,253370,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,35,United-States,>50K +19,Private,274830,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +24,Private,321763,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,38,United-States,<=50K +34,Private,213226,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,>50K +22,Private,167787,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +64,Self-emp-not-inc,352712,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K +55,?,316027,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,?,<=50K +26,Private,213412,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +80,Private,202483,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,16,United-States,<=50K +79,Local-gov,146244,Doctorate,16,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +58,Self-emp-not-inc,450544,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +43,Private,81243,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Male,0,1876,40,United-States,<=50K +43,Private,195258,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +46,Private,57929,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K +35,Private,953588,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +51,Private,99064,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K +52,Local-gov,194788,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,4787,0,60,United-States,>50K +43,Self-emp-inc,155293,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +68,Private,204082,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +34,State-gov,216283,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +37,Private,355856,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,>50K +22,Private,297380,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K +32,Private,425622,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +65,Self-emp-not-inc,145628,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,115549,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,60,United-States,<=50K +37,Private,245482,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K +40,Self-emp-inc,142444,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +40,Private,134026,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K +52,Private,177366,HS-grad,9,Separated,Other-service,Other-relative,White,Female,0,0,20,United-States,<=50K +35,Private,38245,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +62,Self-emp-not-inc,215944,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +49,Private,115784,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +49,Private,170165,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,White,Female,0,0,55,United-States,<=50K +47,Private,355320,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +45,Private,116163,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,405644,1st-4th,2,Married-spouse-absent,Farming-fishing,Other-relative,White,Male,0,0,77,Mexico,<=50K +36,Local-gov,223433,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,53,United-States,>50K +36,Private,41624,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,Mexico,<=50K +44,Private,151089,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K +51,State-gov,285747,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K +25,State-gov,108542,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +28,Self-emp-not-inc,212318,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K +57,Private,173090,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,32,United-States,<=50K +46,Private,26781,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +59,Private,31782,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +28,Private,189241,11th,7,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,164229,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,2597,0,40,United-States,<=50K +35,Private,240467,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +27,Private,263614,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +29,Private,74500,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +43,Federal-gov,263502,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Federal-gov,47707,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +26,Private,231638,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +55,?,389479,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K +36,Private,111128,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,152307,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +23,?,280134,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,609789,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,?,<=50K +41,Private,184466,11th,7,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,55,United-States,<=50K +44,Private,216411,Assoc-voc,11,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,Dominican-Republic,<=50K +48,Self-emp-not-inc,324173,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +35,Local-gov,300681,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,7298,0,35,United-States,>50K +43,Local-gov,598995,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,42,United-States,<=50K +57,Federal-gov,140711,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +44,Local-gov,262241,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +28,Private,308136,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +55,Private,148590,10th,6,Widowed,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K +52,Private,195635,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2051,38,United-States,<=50K +30,Private,228406,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Private,136398,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,Thailand,>50K +21,?,305466,Some-college,10,Never-married,?,Own-child,White,Male,0,0,70,United-States,<=50K +50,Self-emp-inc,175070,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +43,Self-emp-not-inc,34007,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,>50K +33,Private,121195,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Other,Male,0,0,50,United-States,<=50K +23,Federal-gov,216853,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,25,United-States,<=50K +35,Private,81280,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,Yugoslavia,>50K +18,Private,212936,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +21,?,213055,Some-college,10,Never-married,?,Unmarried,Other,Female,0,0,40,United-States,<=50K +33,Local-gov,220430,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,70,United-States,>50K +30,Federal-gov,73514,Bachelors,13,Never-married,Exec-managerial,Other-relative,Asian-Pac-Islander,Female,0,0,45,United-States,<=50K +21,Private,307371,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,15,United-States,<=50K +36,Local-gov,380614,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,Germany,>50K +38,Private,119992,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,192002,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,Canada,>50K +24,Private,327518,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +24,Private,220323,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K +39,Private,421633,Some-college,10,Divorced,Protective-serv,Unmarried,Black,Female,0,0,30,United-States,<=50K +43,Private,154210,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,2829,0,60,China,<=50K +43,Self-emp-not-inc,35034,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,21,United-States,<=50K +62,?,378239,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,>50K +30,State-gov,270218,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +25,Private,254933,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,61751,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K +22,Private,137876,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,20,United-States,<=50K +73,Private,336007,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2246,40,United-States,>50K +26,Private,222539,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +24,Private,233856,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Male,0,0,45,United-States,<=50K +18,Private,198616,12th,8,Never-married,Craft-repair,Own-child,White,Male,594,0,20,United-States,<=50K +35,Private,202027,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,7298,0,35,United-States,>50K +22,Private,203182,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,43,United-States,<=50K +28,Private,221317,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +38,Private,186934,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +68,?,351402,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,70,United-States,<=50K +40,Local-gov,179580,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +32,Private,26803,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,84,United-States,>50K +42,Private,344624,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,50,United-States,>50K +31,State-gov,59969,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,<=50K +33,Private,162930,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,Italy,<=50K +54,Self-emp-not-inc,192654,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K +63,Private,117681,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,25,United-States,<=50K +67,Self-emp-not-inc,179285,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +47,Private,217161,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,14,United-States,<=50K +67,Self-emp-inc,116517,Bachelors,13,Widowed,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +33,Private,170336,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Other,Female,0,0,19,United-States,<=50K +33,Local-gov,256529,HS-grad,9,Separated,Other-service,Own-child,White,Female,0,0,80,United-States,<=50K +25,Local-gov,227886,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,141706,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,361888,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +54,Private,185407,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +35,Self-emp-not-inc,176101,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,>50K +18,Private,216730,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K +54,?,155755,HS-grad,9,Divorced,?,Not-in-family,White,Female,4416,0,25,United-States,<=50K +30,Private,609789,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,Mexico,<=50K +29,Private,136017,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K +41,Private,58880,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,10,United-States,>50K +40,Private,285787,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +46,Private,173243,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,5178,0,40,United-States,>50K +39,Private,160916,Assoc-acdm,12,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,45,United-States,<=50K +42,Private,227397,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +49,Self-emp-not-inc,111066,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +23,Private,189924,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,31740,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,120837,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2042,48,United-States,<=50K +31,Private,172304,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +72,?,166253,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,2,United-States,<=50K +31,Private,86492,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,>50K +90,Private,206667,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +27,Self-emp-not-inc,153546,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +18,?,189041,HS-grad,9,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K +30,Self-emp-not-inc,115932,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,99999,0,50,United-States,>50K +27,Local-gov,151626,HS-grad,9,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K +27,Self-emp-not-inc,37302,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +28,Private,109001,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,195488,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,45,United-States,<=50K +43,Local-gov,216116,Masters,14,Separated,Prof-specialty,Unmarried,Black,Female,0,0,37,United-States,<=50K +26,Private,118497,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +48,Self-emp-not-inc,101233,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,<=50K +41,Private,349703,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +32,Private,226883,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,<=50K +23,Private,214635,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,169672,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K +42,Private,71458,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +27,State-gov,142621,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,4101,0,40,United-States,<=50K +34,Private,125279,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,197303,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +46,Local-gov,148995,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,4787,0,45,United-States,>50K +34,Private,69251,Some-college,10,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +39,Private,160123,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,137310,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,?,<=50K +25,Private,323229,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,138626,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,2174,0,50,United-States,<=50K +46,Private,102359,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,151888,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,4650,0,50,Ireland,<=50K +37,Private,404661,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +39,Private,99146,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +38,Self-emp-not-inc,185325,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +35,Self-emp-not-inc,230268,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +49,Self-emp-inc,38819,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +37,Private,380614,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,13,United-States,>50K +45,Private,319637,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +71,Private,149040,12th,8,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,320984,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +19,?,117201,Some-college,10,Never-married,?,Own-child,White,Male,0,0,22,United-States,<=50K +38,Private,81965,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Local-gov,182302,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,53434,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +48,Private,216214,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +56,Self-emp-inc,24127,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,54,United-States,>50K +32,Federal-gov,115066,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,120277,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +57,Self-emp-not-inc,134286,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K +55,Private,26716,10th,6,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +48,?,174533,11th,7,Separated,?,Unmarried,White,Male,0,0,40,United-States,<=50K +46,Self-emp-inc,175958,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,?,<=50K +36,Private,218948,9th,5,Separated,Other-service,Unmarried,Black,Female,0,0,40,?,<=50K +66,Private,117746,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +26,Private,206199,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K +58,Self-emp-inc,89922,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +62,Private,69867,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +31,Private,109020,Bachelors,13,Never-married,Prof-specialty,Unmarried,Other,Male,0,0,40,United-States,<=50K +77,?,158847,Assoc-voc,11,Married-spouse-absent,?,Not-in-family,White,Female,0,0,25,United-States,<=50K +25,Private,130302,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,156728,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,56,United-States,<=50K +33,Private,424719,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Federal-gov,217647,Some-college,10,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +20,Private,33087,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +40,Federal-gov,241895,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,38455,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Local-gov,81054,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,25,United-States,<=50K +44,Private,163215,12th,8,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,156728,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,127930,HS-grad,9,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K +46,Federal-gov,227310,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +24,Private,96844,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,17,United-States,<=50K +18,Private,245199,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,46385,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,186385,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,8,United-States,<=50K +55,Private,252714,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +68,Private,154897,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +41,Private,320744,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +50,Private,138852,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +48,Private,102092,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,?,32533,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,45,United-States,<=50K +45,Private,278151,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,338290,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,34378,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +43,Private,91959,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +36,Private,265881,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +60,Private,276009,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,30,Philippines,<=50K +27,Private,193898,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +36,Private,139364,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +47,State-gov,306473,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,37232,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,80,United-States,<=50K +19,State-gov,56424,12th,8,Never-married,Transport-moving,Own-child,Black,Male,0,0,20,United-States,<=50K +33,Private,165235,Bachelors,13,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Thailand,<=50K +34,Private,153326,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +33,Private,106976,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +57,Private,109015,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K +59,Private,154100,Masters,14,Never-married,Sales,Not-in-family,White,Female,27828,0,45,United-States,>50K +36,Private,183739,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,White,Female,0,2002,40,United-States,<=50K +60,Private,367695,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +33,Local-gov,156015,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,185132,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +20,Self-emp-not-inc,188274,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K +28,Local-gov,50512,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,2202,0,50,United-States,<=50K +24,State-gov,147719,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,20,India,<=50K +31,Private,414525,12th,8,Never-married,Farming-fishing,Not-in-family,Black,Male,0,0,60,United-States,<=50K +38,Private,289148,HS-grad,9,Married-spouse-absent,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Private,176069,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +55,State-gov,199713,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,United-States,<=50K +49,Private,297884,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4064,0,50,United-States,<=50K +33,Private,204829,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +52,Private,155433,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,?,<=50K +24,Local-gov,32950,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +46,Private,233511,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K +20,Private,210781,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +50,Private,190762,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +22,Private,83315,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +32,Self-emp-inc,343872,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,35,Haiti,<=50K +46,Private,185385,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K +62,?,302142,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2961,0,30,United-States,<=50K +39,Private,80324,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,62,United-States,>50K +26,Private,357933,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +20,Private,211293,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,14,United-States,<=50K +37,Self-emp-inc,199265,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,202872,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,24,United-States,<=50K +22,Private,195075,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,38,United-States,<=50K +32,Private,317378,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,10520,0,40,United-States,>50K +41,Private,187802,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K +24,Private,97212,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +40,Private,47902,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +37,State-gov,76767,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,39,United-States,>50K +42,Private,172297,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,40,United-States,>50K +56,Private,274475,9th,5,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +20,Private,105244,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K +55,Local-gov,165695,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +29,Private,253801,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +37,Private,305597,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +61,Self-emp-not-inc,352448,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +26,Private,242768,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K +49,Self-emp-inc,201080,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K +18,Local-gov,159032,7th-8th,4,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,149568,9th,5,Never-married,Farming-fishing,Other-relative,Black,Male,0,0,40,United-States,<=50K +24,Private,229553,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,20,?,<=50K +24,State-gov,155775,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,120074,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Local-gov,257588,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,177907,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,65,United-States,<=50K +40,Private,309311,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,138975,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +43,Self-emp-not-inc,187778,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +19,Private,35865,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,35,United-States,<=50K +50,Private,234373,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1485,40,United-States,<=50K +17,?,151141,10th,6,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +39,Private,144688,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,50,United-States,<=50K +43,Private,248094,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +43,Private,248094,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,213821,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +31,State-gov,55849,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,121712,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Federal-gov,164552,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,1876,40,United-States,<=50K +55,Private,223127,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,190514,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,75,United-States,<=50K +29,Private,203797,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K +28,Private,378460,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,10520,0,60,United-States,>50K +30,Private,105908,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,232356,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1672,55,United-States,<=50K +23,Private,210526,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +71,Private,193530,11th,7,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,75,United-States,<=50K +22,?,22966,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K +21,Private,43535,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +62,?,72486,HS-grad,9,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,24,China,<=50K +22,?,229997,Some-college,10,Married-spouse-absent,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +49,Private,183013,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,113364,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,20,United-States,<=50K +27,Private,197380,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,298635,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Hong,>50K +26,Private,213385,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K +30,?,108464,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,31007,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +26,Private,35917,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +45,Private,99385,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,Canada,<=50K +50,Private,48358,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +31,Private,241885,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,45,United-States,<=50K +51,Private,24344,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Private,149686,9th,5,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +24,State-gov,154432,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,35,United-States,<=50K +29,Private,331875,12th,8,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Dominican-Republic,<=50K +26,Private,259585,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,24,United-States,<=50K +51,Private,104748,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +32,Local-gov,144949,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +47,State-gov,199512,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +30,Private,302438,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,?,129155,11th,7,Widowed,?,Other-relative,Black,Female,0,0,40,United-States,<=50K +49,Federal-gov,115784,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,96509,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K +62,Private,226733,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +43,Self-emp-inc,244945,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +76,Private,243768,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,20,United-States,<=50K +40,?,351161,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,>50K +35,Private,186934,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +27,Private,89813,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +54,Self-emp-inc,129432,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +55,Self-emp-not-inc,184702,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,275291,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,12,United-States,<=50K +20,Private,258298,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +39,Private,139743,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +26,Private,102476,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,10520,0,64,United-States,>50K +20,Private,103840,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,42,United-States,<=50K +28,Private,274579,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +56,Federal-gov,156842,Some-college,10,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +39,Private,101020,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +44,Federal-gov,68729,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +55,Private,141326,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +54,Self-emp-not-inc,168723,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,347166,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,13550,0,45,United-States,>50K +34,Local-gov,213722,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,57,United-States,>50K +42,Private,196797,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Female,0,0,38,United-States,<=50K +50,Self-emp-inc,207246,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,75,United-States,<=50K +34,Federal-gov,199934,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K +23,Private,272185,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,33,United-States,<=50K +27,?,190650,Bachelors,13,Never-married,?,Unmarried,Asian-Pac-Islander,Male,0,0,25,Philippines,<=50K +81,?,147097,Bachelors,13,Widowed,?,Not-in-family,White,Male,0,0,5,United-States,<=50K +47,Private,266281,11th,7,Never-married,Machine-op-inspct,Unmarried,Black,Female,6849,0,40,United-States,<=50K +57,Private,96779,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +65,?,117162,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,0,56,United-States,>50K +33,Private,188352,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,50,United-States,<=50K +37,Private,359131,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,48,United-States,<=50K +53,Private,198824,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +27,State-gov,68393,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,115613,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +42,Private,45363,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,121590,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Male,4787,0,40,United-States,>50K +58,Local-gov,292379,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,482732,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,24,United-States,<=50K +19,Private,198663,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +39,Private,230329,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +51,Private,29887,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,44,United-States,<=50K +52,Private,194259,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,Germany,<=50K +53,Private,126368,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,>50K +50,Private,108446,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,220696,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,32008,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,72,United-States,<=50K +30,Private,191777,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,?,<=50K +50,Private,185846,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +76,Private,127016,7th-8th,4,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Self-emp-not-inc,102308,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2415,40,United-States,>50K +24,Private,157894,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +26,Private,345405,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,2885,0,40,United-States,<=50K +56,Self-emp-not-inc,94156,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +50,Private,145409,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +22,Private,190968,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2407,0,40,United-States,<=50K +23,Local-gov,212803,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +51,Private,168660,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +58,Private,234481,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,131461,9th,5,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,24,Haiti,<=50K +45,Private,408773,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +55,Self-emp-not-inc,126117,HS-grad,9,Widowed,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,155489,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +42,Private,296749,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K +44,State-gov,185832,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,46,United-States,>50K +60,Private,43235,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +27,Private,213152,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Local-gov,334267,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +61,?,253101,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,24,United-States,<=50K +43,Private,64631,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +44,Local-gov,193882,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,1340,40,United-States,<=50K +63,Private,71800,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,41,United-States,<=50K +46,Local-gov,170092,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,43,United-States,<=50K +47,Private,198223,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,359796,Some-college,10,Divorced,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K +43,Private,110556,HS-grad,9,Separated,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +46,Private,196858,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +48,?,112860,10th,6,Married-civ-spouse,?,Wife,Black,Female,0,0,35,United-States,<=50K +61,Self-emp-not-inc,224784,Assoc-acdm,12,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,90,United-States,<=50K +53,Federal-gov,271544,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,1977,40,United-States,>50K +79,?,142171,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,1409,0,35,United-States,<=50K +44,Private,221172,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +54,Private,256916,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +22,Private,157332,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +47,Federal-gov,192894,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,>50K +18,Private,240183,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +25,Private,204338,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +24,Private,122166,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Iran,<=50K +37,Local-gov,397877,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +51,Private,115066,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,2547,40,United-States,>50K +35,Self-emp-not-inc,170174,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,60,United-States,>50K +59,Private,171015,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,34,United-States,<=50K +46,Private,91262,Some-college,10,Married-spouse-absent,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +45,Local-gov,127678,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K +19,Private,263338,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +22,Private,129508,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,28,United-States,<=50K +41,Private,192107,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,93930,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Federal-gov,207537,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +22,Private,138542,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,35,United-States,<=50K +29,Self-emp-not-inc,116207,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K +22,Private,198244,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,39,United-States,<=50K +34,Private,90614,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,2042,10,United-States,<=50K +23,Private,211160,12th,8,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,194630,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,3781,0,50,United-States,<=50K +25,Private,161478,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +59,Private,144071,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +44,Private,167005,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,55,United-States,<=50K +55,Private,342121,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +77,Self-emp-not-inc,71676,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,1944,1,United-States,<=50K +42,Private,124692,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +47,Private,147236,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +42,Private,145175,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,259323,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,154978,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Guatemala,<=50K +60,?,163946,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,127768,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Private,98588,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,192894,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +20,Private,194848,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,34446,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +23,Local-gov,177265,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,45,United-States,<=50K +30,Private,142977,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K +45,Private,241350,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,>50K +30,Private,154882,Prof-school,15,Widowed,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +17,Private,60562,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +22,Private,142566,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,176162,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +52,Private,186303,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,Canada,>50K +40,Private,237671,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K +18,?,184416,10th,6,Never-married,?,Own-child,Black,Male,0,0,30,United-States,<=50K +58,Private,68624,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +30,Private,229504,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +59,Private,340591,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3942,0,40,United-States,<=50K +29,Private,262208,Some-college,10,Never-married,Other-service,Not-in-family,Black,Female,0,0,30,Jamaica,<=50K +26,Private,236008,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Local-gov,214284,Bachelors,13,Widowed,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,10,Japan,<=50K +33,Private,169496,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +21,?,205940,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,195179,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,24,United-States,<=50K +25,Private,469697,Some-college,10,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +19,?,140242,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +44,Private,214415,Some-college,10,Separated,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +35,Private,452283,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +40,Private,244172,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,231972,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +37,Private,412296,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Mexico,>50K +32,Private,30497,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +52,Self-emp-not-inc,189216,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K +36,Private,268292,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,United-States,<=50K +38,Private,69306,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +57,State-gov,111224,Bachelors,13,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,39,United-States,<=50K +22,State-gov,309348,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K +80,?,174995,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,Canada,<=50K +20,Private,210781,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +40,Private,286750,11th,7,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,36,United-States,<=50K +36,Self-emp-not-inc,321274,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +27,Private,192936,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +52,Private,72743,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +43,Private,187861,HS-grad,9,Separated,Transport-moving,Unmarried,White,Female,0,0,44,United-States,<=50K +35,Private,179579,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,663394,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K +27,Private,302422,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +24,?,154373,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,25,United-States,<=50K +49,Local-gov,37353,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +26,Self-emp-not-inc,109609,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +47,Private,184402,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K +20,Private,224640,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +19,Private,405526,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,36385,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,2258,50,United-States,<=50K +20,Private,147884,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +23,Private,164231,11th,7,Separated,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K +25,Private,383306,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,417668,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,36,United-States,<=50K +25,Private,161007,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +63,State-gov,99823,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,32,United-States,<=50K +25,Private,37379,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,50,United-States,<=50K +28,Private,148645,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +39,Private,180477,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K +28,Private,123147,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,4865,0,40,United-States,<=50K +30,Private,111415,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +41,Local-gov,107327,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +52,Local-gov,146565,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,4865,0,30,United-States,<=50K +36,Private,267556,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4064,0,40,United-States,<=50K +47,Private,284871,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K +27,Private,194690,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,50,Mexico,<=50K +32,Federal-gov,145983,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K +52,Private,163998,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,99999,0,45,United-States,>50K +50,Private,128478,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K +21,Private,250647,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,30,Nicaragua,<=50K +60,Private,226949,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,37,United-States,<=50K +47,Private,157901,11th,7,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,0,0,36,United-States,<=50K +54,Self-emp-not-inc,33863,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +32,Local-gov,40444,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +61,Private,54373,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,52753,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1504,40,United-States,<=50K +29,Self-emp-not-inc,104423,Some-college,10,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,4386,0,45,United-States,>50K +36,Local-gov,305714,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,70,United-States,<=50K +38,Local-gov,167440,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K +59,Private,291529,10th,6,Widowed,Machine-op-inspct,Not-in-family,White,Male,0,0,52,United-States,<=50K +43,Private,243380,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,38619,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,10,United-States,<=50K +42,Private,230684,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,40,United-States,<=50K +33,Private,132601,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +47,Private,193285,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,5013,0,40,United-States,<=50K +51,Private,279156,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +28,Private,339372,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +61,Private,101265,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,43,United-States,<=50K +23,Private,117789,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +31,Private,312667,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,255503,11th,7,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K +21,Private,221955,9th,5,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K +22,Private,139190,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +35,Private,185556,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +53,Federal-gov,84278,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +40,Private,114580,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,24,United-States,>50K +36,Private,185405,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +33,Self-emp-not-inc,199539,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K +23,Private,346480,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +51,Local-gov,349431,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,United-States,>50K +31,Private,219619,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,48,United-States,<=50K +28,Local-gov,127491,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,5721,0,40,United-States,<=50K +26,Self-emp-not-inc,253899,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,155232,Bachelors,13,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,60,United-States,>50K +43,Private,182437,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +19,Private,530454,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +46,Private,101430,11th,7,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K +49,Local-gov,358668,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +31,Private,90668,10th,6,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,126141,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +41,Private,238355,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +22,Private,194031,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +25,Private,117833,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1876,40,United-States,<=50K +46,Private,249686,Prof-school,15,Separated,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +44,Self-emp-not-inc,219591,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,221757,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,80625,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,185407,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +34,Private,163110,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +34,?,24504,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,159187,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,55,United-States,>50K +21,Private,100462,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Female,2174,0,60,United-States,<=50K +27,Private,192936,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,145011,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +60,Self-emp-inc,181196,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +36,Self-emp-not-inc,37778,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +27,Private,60288,Masters,14,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +57,Self-emp-not-inc,84231,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,48,United-States,<=50K +24,Private,52028,1st-4th,2,Married-civ-spouse,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,5,Vietnam,<=50K +63,Private,318763,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,22,United-States,<=50K +29,Private,168138,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +34,Private,113530,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,321896,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,145791,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,131425,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,145214,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,4650,0,20,United-States,<=50K +64,Local-gov,142166,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,99,United-States,<=50K +20,Private,494784,HS-grad,9,Never-married,Sales,Other-relative,Black,Female,0,0,35,United-States,<=50K +44,Self-emp-not-inc,172479,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,15024,0,60,United-States,>50K +35,Private,184655,11th,7,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +41,Local-gov,26669,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,191479,Some-college,10,Divorced,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K +21,Private,86625,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,?,<=50K +64,State-gov,111795,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +42,Private,242564,7th-8th,4,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,2205,40,United-States,<=50K +31,Private,364657,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Germany,>50K +42,Self-emp-not-inc,436107,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,272476,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,>50K +36,Federal-gov,47310,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,>50K +23,Private,283796,12th,8,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,30,Mexico,<=50K +20,Private,161092,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,14,United-States,<=50K +26,Local-gov,265230,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +56,Federal-gov,61885,Bachelors,13,Never-married,Transport-moving,Not-in-family,Black,Male,0,2001,65,United-States,<=50K +40,Private,150471,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,183041,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K +33,Private,176673,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +45,Federal-gov,235891,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,Columbia,<=50K +41,Private,163287,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,43,United-States,>50K +29,Private,164040,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +46,Local-gov,324561,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +48,Private,99127,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +38,Private,334999,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +29,Private,543477,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +35,Private,65876,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +59,Local-gov,105866,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,30,United-States,<=50K +27,Private,214858,HS-grad,9,Married-civ-spouse,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,154076,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +70,Private,280307,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,Cuba,<=50K +30,Private,97723,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,45,United-States,<=50K +24,Private,233499,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +76,Local-gov,259612,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,15,United-States,<=50K +25,Private,236977,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,40,Mexico,<=50K +39,Private,347814,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,56,United-States,<=50K +36,Local-gov,197495,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,227594,12th,8,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +60,Private,165441,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +20,?,337488,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,30,United-States,<=50K +54,Private,167552,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Haiti,>50K +20,Private,396722,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Federal-gov,146538,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,51973,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K +41,Private,144778,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,169672,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,240137,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,55,Mexico,<=50K +54,State-gov,103179,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K +17,Private,172050,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K +43,Private,178976,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,176185,12th,8,Divorced,Craft-repair,Not-in-family,White,Male,0,2258,42,United-States,<=50K +30,Private,158200,Prof-school,15,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,40,?,<=50K +38,Federal-gov,172571,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K +54,Self-emp-not-inc,226735,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,45,United-States,<=50K +39,Private,148015,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,52,United-States,<=50K +32,Private,199529,Some-college,10,Separated,Tech-support,Not-in-family,Amer-Indian-Eskimo,Male,0,1980,40,United-States,<=50K +61,Local-gov,35001,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,2885,0,40,United-States,<=50K +24,?,67586,Assoc-voc,11,Married-civ-spouse,?,Wife,Black,Female,0,0,35,United-States,<=50K +22,Private,88126,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,226296,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +18,Private,452452,10th,6,Never-married,Priv-house-serv,Own-child,Black,Female,0,0,20,United-States,<=50K +20,Private,378546,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,25,United-States,<=50K +53,Federal-gov,186087,HS-grad,9,Divorced,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K +32,Private,27856,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +68,Self-emp-not-inc,234859,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +28,Private,71733,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,15,United-States,<=50K +28,Private,207473,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,El-Salvador,<=50K +54,Private,179291,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,56,Haiti,>50K +21,?,253190,Some-college,10,Never-married,?,Own-child,White,Male,0,0,48,United-States,<=50K +52,Private,92968,Bachelors,13,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,?,<=50K +25,Private,209286,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,122889,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,India,>50K +33,Private,112358,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K +49,Private,176341,Bachelors,13,Never-married,Tech-support,Unmarried,Asian-Pac-Islander,Female,0,0,40,India,<=50K +58,Private,247276,7th-8th,4,Widowed,Other-service,Not-in-family,Other,Female,0,0,30,United-States,<=50K +45,Private,276087,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,24,United-States,>50K +67,Private,257557,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Black,Male,10566,0,40,United-States,<=50K +42,Local-gov,177937,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,?,<=50K +69,Self-emp-inc,106395,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +61,Private,167138,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,213887,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,185647,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +19,Private,143360,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,34,United-States,<=50K +31,Self-emp-not-inc,176862,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Federal-gov,97614,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +76,?,224680,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,1258,20,United-States,<=50K +53,Private,196763,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +46,Private,306183,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,37,United-States,<=50K +43,Self-emp-not-inc,343061,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,4508,0,40,Cuba,<=50K +48,?,193047,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +39,Private,348521,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2415,99,United-States,>50K +59,Private,195835,7th-8th,4,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,106273,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,38,United-States,<=50K +40,Private,222756,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +63,Self-emp-inc,110610,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +44,?,191982,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,10,Poland,<=50K +46,Private,247286,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,219042,10th,6,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +36,Private,224566,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,1669,45,United-States,<=50K +57,Private,204751,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +58,Private,113398,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,25,United-States,<=50K +25,?,170428,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,0,0,28,Taiwan,<=50K +59,Private,258579,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,35,United-States,>50K +36,Private,162424,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +29,Private,263005,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,Germany,<=50K +49,Self-emp-inc,26502,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,6497,0,45,United-States,<=50K +42,Private,369131,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +43,Local-gov,114859,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,17,United-States,<=50K +46,Private,405309,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +43,Local-gov,323627,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,12,United-States,<=50K +40,Private,106698,Assoc-acdm,12,Divorced,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,51506,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,117251,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K +26,Private,106705,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,28,United-States,<=50K +30,Private,217296,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K +58,Private,34788,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K +43,Private,143368,HS-grad,9,Divorced,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K +53,Local-gov,86600,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +74,State-gov,117017,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,16,United-States,<=50K +64,?,104756,Some-college,10,Widowed,?,Unmarried,White,Female,0,0,8,United-States,<=50K +45,Private,55720,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +32,State-gov,481096,5th-6th,3,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,10,United-States,<=50K +23,?,281668,10th,6,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K +38,Private,186145,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +42,Self-emp-not-inc,96524,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +24,Local-gov,187397,Some-college,10,Never-married,Protective-serv,Unmarried,Other,Male,1151,0,40,United-States,<=50K +63,Private,181153,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +25,Local-gov,375170,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,35,United-States,<=50K +37,Private,360743,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +28,Self-emp-not-inc,420054,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,<=50K +31,Private,137681,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,28419,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K +44,Private,101214,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,44,United-States,>50K +42,Local-gov,213019,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +45,Private,207540,Doctorate,16,Separated,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,>50K +52,Private,145333,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +40,Private,107306,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +26,Private,195327,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +55,Private,196126,Bachelors,13,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K +17,Private,175465,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,14,United-States,<=50K +27,Private,197905,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +71,Self-emp-inc,118119,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,50,United-States,>50K +35,Private,172571,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +17,Private,25051,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +26,Private,210714,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,52,United-States,>50K +22,Private,183083,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,35,United-States,<=50K +51,Private,99185,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +33,Private,283921,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Local-gov,396467,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,>50K +50,Private,158680,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +26,Private,202091,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +21,Private,285127,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Female,0,0,40,United-States,<=50K +53,Private,218630,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +32,Self-emp-inc,99309,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +19,Private,165505,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +22,Private,122272,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +58,Private,147707,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +47,Federal-gov,44257,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K +51,Self-emp-inc,194995,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +42,State-gov,345969,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +28,Private,31842,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,143582,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,35,Vietnam,<=50K +50,Private,161438,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +22,Private,317019,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +47,Self-emp-not-inc,158451,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K +60,Private,225883,Some-college,10,Widowed,Sales,Unmarried,White,Female,0,0,27,United-States,<=50K +46,Self-emp-not-inc,176319,HS-grad,9,Married-civ-spouse,Sales,Own-child,White,Female,7298,0,40,United-States,>50K +58,Self-emp-inc,258883,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +62,Private,26966,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,202812,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +59,Private,35411,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,190885,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K +31,Private,182162,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,37,United-States,<=50K +18,Private,352640,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +64,Self-emp-not-inc,213945,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +51,Self-emp-not-inc,135102,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K +47,Self-emp-not-inc,102583,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K +68,Private,225612,Bachelors,13,Widowed,Sales,Not-in-family,White,Male,0,0,35,United-States,>50K +32,Private,241802,HS-grad,9,Married-civ-spouse,Other-service,Wife,Other,Female,0,0,40,United-States,<=50K +39,Private,347434,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,43,Mexico,<=50K +37,Private,305259,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,48,United-States,<=50K +29,Private,140830,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +44,Private,291568,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Other,Male,0,0,40,United-States,<=50K +46,Private,203067,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +40,Self-emp-not-inc,155106,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +19,?,252752,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,35,United-States,<=50K +65,?,404601,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2414,0,30,United-States,<=50K +52,Local-gov,100226,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +40,Private,63503,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +61,Private,95929,9th,5,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,187618,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +61,Self-emp-not-inc,92178,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,220362,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,84,United-States,>50K +32,Local-gov,209900,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K +32,Private,272376,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Self-emp-not-inc,173854,Bachelors,13,Divorced,Prof-specialty,Other-relative,White,Male,0,0,35,United-States,>50K +37,Private,278924,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,324568,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +51,Self-emp-inc,124963,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +29,Private,211299,Assoc-voc,11,Never-married,Sales,Not-in-family,Black,Male,0,0,45,United-States,<=50K +48,Private,192791,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +69,Private,182862,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,15831,0,40,United-States,>50K +28,Private,46868,Masters,14,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Local-gov,31365,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +45,Private,148171,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,40,United-States,>50K +18,Private,142647,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +60,Private,116230,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,108907,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,?,<=50K +19,Private,495982,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K +18,Private,334026,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,25,United-States,<=50K +33,Private,268571,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,213813,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,241667,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +37,Private,160920,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +50,Private,107265,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +19,?,41609,Some-college,10,Never-married,?,Own-child,White,Male,0,0,10,United-States,<=50K +28,Private,129460,10th,6,Widowed,Adm-clerical,Unmarried,White,Female,0,2238,35,United-States,<=50K +43,?,109912,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,7,United-States,>50K +23,Private,167424,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +47,Private,270079,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,325923,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,35,United-States,<=50K +19,Private,194905,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K +47,Local-gov,183486,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +36,Federal-gov,153066,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +62,Self-emp-inc,56248,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2415,60,United-States,>50K +65,Private,105252,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +46,Self-emp-not-inc,168195,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,45,United-States,>50K +35,Private,167735,11th,7,Never-married,Craft-repair,Own-child,White,Male,6849,0,40,United-States,<=50K +50,Private,146310,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,256504,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,6,United-States,<=50K +17,Private,121425,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K +33,Private,146440,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K +57,?,155259,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Self-emp-not-inc,98829,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +47,Self-emp-inc,239321,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +62,Self-emp-inc,134768,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +35,Private,556902,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +27,Private,47907,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K +23,Private,114357,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,50,United-States,<=50K +27,Private,189462,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1504,45,United-States,<=50K +39,Private,90646,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,232914,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,38,United-States,<=50K +24,Private,192201,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,20,United-States,<=50K +23,Private,27776,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,137476,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K +30,Private,100734,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,38,United-States,<=50K +34,Private,111746,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,45,Portugal,<=50K +32,Private,184833,10th,6,Separated,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +18,Private,414721,11th,7,Never-married,Other-service,Own-child,Black,Male,0,1602,23,United-States,<=50K +20,Private,151780,Assoc-voc,11,Never-married,Sales,Not-in-family,Black,Female,0,0,35,United-States,<=50K +38,State-gov,203628,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +18,Private,137363,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +41,Private,172307,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,273403,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +36,State-gov,37931,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,>50K +61,Private,97030,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +30,Private,54608,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +26,Private,108542,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +27,Private,253814,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K +45,Private,421412,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +47,Private,207140,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +19,Private,138153,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +29,Private,46987,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,55,United-States,<=50K +51,Self-emp-inc,183173,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K +34,Local-gov,229531,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +42,Self-emp-not-inc,320744,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3908,0,45,United-States,<=50K +26,Private,257405,5th-6th,3,Never-married,Farming-fishing,Other-relative,Black,Male,0,0,40,Mexico,<=50K +20,State-gov,432052,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,15,United-States,<=50K +43,Private,397280,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +20,Private,38001,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +27,Private,101618,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +46,Federal-gov,332727,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Private,115215,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,178449,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,49,United-States,<=50K +42,Private,185267,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,32,United-States,<=50K +23,Private,410439,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K +29,Private,85572,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,42,United-States,>50K +27,Private,83517,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K +43,Self-emp-not-inc,194726,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +23,Private,322674,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Local-gov,34540,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,44,United-States,<=50K +35,Local-gov,211073,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,61,United-States,>50K +30,Private,194901,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +59,Private,117059,11th,7,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +65,Self-emp-not-inc,78875,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,2290,0,40,United-States,<=50K +28,Private,51461,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +79,Private,266119,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +43,Local-gov,92374,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,35,United-States,>50K +54,Private,175262,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,208249,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,62,United-States,<=50K +30,Private,196385,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,35,United-States,>50K +22,?,110622,Bachelors,13,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,15,Taiwan,<=50K +34,Private,146980,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,65,United-States,<=50K +18,Private,112974,11th,7,Never-married,Prof-specialty,Other-relative,White,Male,0,0,3,United-States,<=50K +40,Self-emp-not-inc,175943,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,15,United-States,>50K +28,Private,163265,9th,5,Married-civ-spouse,Sales,Husband,White,Male,4508,0,40,United-States,<=50K +18,Private,210932,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +46,Private,145290,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,198992,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +77,?,174887,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K +41,Federal-gov,36651,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,40,United-States,>50K +48,Private,190072,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +29,Private,49087,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +41,Private,126622,11th,7,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,174189,9th,5,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,118605,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +49,Self-emp-not-inc,377622,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +49,Private,157272,HS-grad,9,Separated,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K +30,Private,78530,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,190391,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +62,State-gov,162678,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,103980,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,52,United-States,<=50K +20,Private,293726,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +61,Private,98350,Preschool,1,Married-spouse-absent,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,China,<=50K +30,Private,207668,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,60,Hungary,<=50K +29,Federal-gov,41013,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K +50,Private,188186,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,1590,45,United-States,<=50K +44,Federal-gov,320071,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +25,Private,306908,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +62,Private,167652,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,Private,173580,Some-college,10,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,273612,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +26,Private,195555,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +60,Private,186446,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +22,Private,418405,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +62,Local-gov,41793,Masters,14,Separated,Prof-specialty,Not-in-family,White,Female,0,0,50,?,<=50K +26,Private,183965,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,354784,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +44,Private,198096,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K +32,Private,732102,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +66,Self-emp-not-inc,97847,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,196678,Preschool,1,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K +19,Private,320014,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +54,Self-emp-inc,298215,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +37,Private,295127,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,368140,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +37,Self-emp-not-inc,187411,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,?,<=50K +22,?,121070,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K +34,Private,212163,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K +35,Self-emp-not-inc,108198,HS-grad,9,Divorced,Craft-repair,Own-child,Amer-Indian-Eskimo,Male,0,0,15,United-States,<=50K +42,Federal-gov,294431,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +47,Federal-gov,202560,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +29,Self-emp-inc,266070,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,80,United-States,<=50K +34,Private,346122,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Self-emp-inc,308686,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,>50K +62,Self-emp-inc,236096,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +35,Private,187711,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,238959,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +47,Private,93557,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,329980,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,125010,Assoc-voc,11,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,30,United-States,<=50K +60,Self-emp-inc,90915,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +31,Private,289731,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +74,?,33114,10th,6,Married-civ-spouse,?,Husband,Amer-Indian-Eskimo,Male,1797,0,30,United-States,<=50K +63,Private,206052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,191385,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +44,?,268804,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,30,United-States,<=50K +40,Self-emp-inc,191429,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +35,Self-emp-not-inc,199753,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K +50,Local-gov,92486,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,171088,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K +33,Private,112820,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +59,Self-emp-not-inc,32855,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +17,Private,142964,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +47,Private,89146,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K +51,?,147015,Some-college,10,Divorced,?,Not-in-family,Black,Male,0,0,50,United-States,<=50K +26,Private,291968,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Local-gov,29235,Some-college,10,Married-civ-spouse,Protective-serv,Wife,White,Female,0,0,40,France,>50K +55,Private,238216,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,State-gov,323726,Some-college,10,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +54,Private,141663,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +19,?,218471,HS-grad,9,Never-married,?,Own-child,White,Female,0,1602,30,United-States,<=50K +32,Private,118551,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K +52,Local-gov,35092,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +39,Private,139703,HS-grad,9,Married-spouse-absent,Sales,Unmarried,Black,Female,0,0,28,Jamaica,<=50K +39,Federal-gov,206190,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +59,Self-emp-not-inc,178353,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +55,Federal-gov,169133,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,103179,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +31,Private,354464,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +19,?,124651,11th,7,Never-married,?,Own-child,Black,Male,0,0,25,United-States,<=50K +30,Private,60426,HS-grad,9,Married-civ-spouse,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +47,Federal-gov,98726,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,133861,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,180303,Bachelors,13,Divorced,Craft-repair,Unmarried,Asian-Pac-Islander,Male,0,0,47,Iran,<=50K +33,Private,221324,Assoc-voc,11,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Private,325658,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +32,Private,210562,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,152249,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,35,Mexico,<=50K +29,Private,178649,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,20,France,<=50K +41,State-gov,48997,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +39,Private,243409,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +34,Private,162442,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K +23,Private,203078,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Male,0,0,24,United-States,<=50K +53,Self-emp-inc,155983,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K +45,Self-emp-not-inc,182677,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Thailand,<=50K +34,?,170276,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,10,United-States,>50K +47,Private,105381,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,?,256240,7th-8th,4,Married-civ-spouse,?,Own-child,White,Male,0,0,60,United-States,<=50K +42,Private,210275,Masters,14,Divorced,Tech-support,Unmarried,Black,Female,4687,0,35,United-States,>50K +53,Private,150980,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3137,0,40,United-States,<=50K +38,Self-emp-inc,141584,HS-grad,9,Divorced,Sales,Unmarried,White,Male,0,0,55,United-States,<=50K +26,Private,113571,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K +18,Private,154089,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +43,Private,50197,10th,6,Separated,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +26,Private,132572,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,32,United-States,<=50K +47,Private,238185,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,112754,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,>50K +21,?,357029,Some-college,10,Married-civ-spouse,?,Wife,Black,Female,2105,0,20,United-States,<=50K +32,State-gov,213389,Some-college,10,Divorced,Protective-serv,Unmarried,White,Female,0,1726,38,United-States,<=50K +48,Self-emp-inc,287647,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,55,United-States,>50K +39,Private,150061,Masters,14,Divorced,Exec-managerial,Unmarried,Black,Female,15020,0,60,United-States,>50K +58,Self-emp-inc,143266,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +55,Self-emp-not-inc,68006,7th-8th,4,Never-married,Other-service,Other-relative,White,Female,0,0,60,United-States,<=50K +40,Private,287079,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,55,United-States,<=50K +33,Private,223212,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +74,Self-emp-not-inc,173929,Doctorate,16,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,25,United-States,>50K +49,Self-emp-not-inc,182211,HS-grad,9,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,55,United-States,<=50K +56,Self-emp-not-inc,62539,11th,7,Widowed,Other-service,Unmarried,White,Female,0,0,65,Greece,>50K +29,Private,157612,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,14344,0,40,United-States,>50K +25,Private,305472,Assoc-acdm,12,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,48,United-States,<=50K +57,Private,548256,12th,8,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +29,Private,40295,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,112403,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,2354,0,40,United-States,<=50K +59,Private,31137,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +30,Private,116138,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,27828,0,60,United-States,>50K +28,?,127833,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +19,Private,201743,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +40,Private,240027,Some-college,10,Never-married,Sales,Unmarried,Black,Female,0,0,45,United-States,<=50K +28,Private,129882,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +48,?,355890,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,55,United-States,>50K +20,Private,107658,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,10,Canada,<=50K +58,Private,136841,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,99999,0,35,United-States,>50K +19,Private,146679,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Male,0,0,30,United-States,<=50K +75,?,35724,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,8,United-States,<=50K +24,Federal-gov,42251,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +31,Private,113838,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +28,Self-emp-not-inc,282398,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +41,Private,33331,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +23,Federal-gov,41031,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +46,Private,155489,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,>50K +33,Private,53042,12th,8,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +34,Private,174789,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +47,Local-gov,203067,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +81,Private,177408,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2377,26,United-States,>50K +45,Private,216626,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,Other,Male,0,0,40,Columbia,<=50K +35,Private,93034,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Cambodia,<=50K +59,Self-emp-not-inc,188003,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +46,Local-gov,65535,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +39,Private,366757,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +23,Private,414545,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K +25,Private,295919,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,34378,1st-4th,2,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Self-emp-inc,58359,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +25,Private,476334,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +32,Private,255424,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +34,Local-gov,175856,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,124692,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +33,Private,118551,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +78,?,292019,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +31,Private,288566,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,43,United-States,>50K +61,Private,137733,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K +22,Private,39432,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,138537,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K +37,Private,709445,HS-grad,9,Separated,Craft-repair,Other-relative,Black,Male,0,0,40,United-States,<=50K +35,Private,194809,11th,7,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +52,Self-emp-inc,89041,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +37,?,299090,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +18,Private,159561,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K +37,Private,236328,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +46,Private,269045,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K +25,?,196627,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +47,Federal-gov,323798,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +55,Private,463072,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +32,Private,199655,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Other,Female,0,1740,40,?,<=50K +25,Self-emp-inc,98756,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,50,United-States,<=50K +50,State-gov,161075,HS-grad,9,Widowed,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +18,Private,192485,12th,8,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,20,United-States,<=50K +25,Private,201579,9th,5,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +23,Private,117606,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,?,177487,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,237731,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,2829,0,65,United-States,<=50K +37,Private,60313,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +37,Private,270059,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,25236,0,25,United-States,>50K +27,Private,169958,5th-6th,3,Never-married,Craft-repair,Own-child,White,Male,0,0,40,?,<=50K +19,Private,240686,11th,7,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +52,Local-gov,124793,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Self-emp-not-inc,113948,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,White,Female,0,0,45,United-States,<=50K +17,?,241021,12th,8,Never-married,?,Own-child,Other,Female,0,0,40,United-States,<=50K +21,Private,147655,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +41,Self-emp-not-inc,38876,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +55,Private,117299,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +20,?,114813,10th,6,Separated,?,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,136310,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +41,Federal-gov,153132,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +23,Private,197552,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +33,Private,69748,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +29,Private,175738,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K +50,State-gov,78649,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +37,Self-emp-inc,188774,11th,7,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,60,?,<=50K +48,Private,155659,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +19,Federal-gov,215891,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +40,Private,144928,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,33688,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Female,0,1669,70,United-States,<=50K +65,Private,262446,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +44,Federal-gov,191295,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,48,United-States,<=50K +32,Private,279173,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +41,Private,153031,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K +28,Private,202239,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +44,Federal-gov,469454,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,48,United-States,>50K +39,Local-gov,164156,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Female,0,0,55,United-States,<=50K +59,Private,196482,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,176185,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,France,>50K +34,Private,287315,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,117210,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,41610,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,160703,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K +31,Private,80511,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Female,0,0,44,United-States,<=50K +39,Private,219155,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,<=50K +35,Private,106347,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +37,Self-emp-not-inc,68899,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2129,40,United-States,<=50K +44,Self-emp-not-inc,163985,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,32,United-States,>50K +28,Private,270887,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K +17,Private,205726,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +23,Private,218899,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,60,United-States,<=50K +35,Private,186183,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,80,United-States,>50K +19,Private,248749,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +30,Private,197558,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,176514,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,?,116820,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K +27,Private,128730,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,10520,0,65,Greece,>50K +37,Private,215503,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,45,United-States,>50K +44,Private,226129,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +34,Private,175856,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,55,United-States,>50K +43,Private,281138,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,98061,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Self-emp-not-inc,260560,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +23,Private,289909,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +51,Private,59590,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K +24,Private,236769,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,423616,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,24,United-States,>50K +24,Private,291407,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +53,Self-emp-inc,100029,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +33,Private,204494,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,56,United-States,>50K +24,Private,201680,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,154308,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +31,Private,150324,11th,7,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +38,Local-gov,331609,Some-college,10,Widowed,Transport-moving,Not-in-family,Black,Female,0,0,47,United-States,<=50K +28,Private,100829,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K +38,Private,203169,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +25,Private,122075,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +29,Private,178778,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,276345,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +48,Private,233511,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +24,Private,289448,Assoc-voc,11,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +31,Private,173350,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +36,Private,130589,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +62,Private,94318,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +25,Private,297531,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +55,Private,129762,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +21,Private,182614,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,Poland,<=50K +60,Private,120067,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +41,Private,182370,Assoc-acdm,12,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +43,State-gov,60949,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,190511,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +47,Private,188195,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,89534,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-inc,125831,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1887,55,United-States,>50K +23,Private,183358,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K +38,?,75024,7th-8th,4,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,251120,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,England,<=50K +35,Private,108946,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,93223,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K +61,Private,147393,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K +71,?,45801,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,70,United-States,<=50K +35,State-gov,225385,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Federal-gov,23892,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,179668,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Scotland,<=50K +27,Self-emp-not-inc,404998,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,68882,1st-4th,2,Widowed,Other-service,Unmarried,White,Female,0,0,35,Portugal,<=50K +55,Self-emp-not-inc,194065,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,357540,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2002,55,United-States,<=50K +33,Private,185336,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +25,State-gov,152503,Some-college,10,Never-married,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K +52,Private,167794,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K +46,Private,96552,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,17,United-States,<=50K +34,Private,169527,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,4386,0,20,United-States,<=50K +52,State-gov,254285,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,32509,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +46,Private,125492,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +36,Self-emp-inc,186035,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +69,?,168794,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,48,United-States,<=50K +34,Private,191856,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,7298,0,40,United-States,>50K +36,Private,215503,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K +31,Private,187560,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,2174,0,40,United-States,<=50K +31,Self-emp-not-inc,252752,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,2415,40,United-States,>50K +38,Local-gov,210991,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K +57,Local-gov,190748,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,35,United-States,<=50K +24,Private,117767,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +37,Private,301070,HS-grad,9,Divorced,Farming-fishing,Unmarried,White,Male,0,0,45,United-States,<=50K +69,Self-emp-not-inc,204645,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,9386,0,72,United-States,>50K +39,Private,186183,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +38,Private,131808,Assoc-voc,11,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +34,State-gov,156292,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +21,Private,124589,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +21,Private,262819,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +61,Private,95500,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,241306,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +29,Private,238680,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,55,Outlying-US(Guam-USVI-etc),<=50K +18,?,42293,10th,6,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +41,Local-gov,168071,HS-grad,9,Divorced,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K +42,Private,337629,12th,8,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,60,?,>50K +52,Private,168001,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +38,Private,97759,12th,8,Never-married,Other-service,Unmarried,White,Female,0,0,17,United-States,<=50K +51,Self-emp-not-inc,107096,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +55,Private,76860,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +20,Private,70076,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +23,Private,312017,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,174138,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,125892,Bachelors,13,Divorced,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,<=50K +22,Private,210474,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,State-gov,157332,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +28,Private,30771,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +28,Private,319768,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,France,>50K +34,Private,209101,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,55,United-States,>50K +25,Private,324609,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +48,Private,268234,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +32,Local-gov,178109,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,43,United-States,<=50K +31,Private,25955,9th,5,Never-married,Craft-repair,Own-child,Amer-Indian-Eskimo,Male,0,0,35,United-States,<=50K +65,?,123484,HS-grad,9,Widowed,?,Other-relative,White,Female,0,0,25,United-States,<=50K +56,Local-gov,129762,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +22,Self-emp-not-inc,108506,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,Amer-Indian-Eskimo,Male,0,0,75,United-States,<=50K +27,Private,241607,Bachelors,13,Never-married,Tech-support,Other-relative,White,Male,0,0,50,United-States,<=50K +27,Federal-gov,214385,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +30,Local-gov,183000,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +33,Private,290763,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Private,171924,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,>50K +19,Private,97189,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,22,United-States,<=50K +42,Private,195096,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K +37,Federal-gov,329088,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +26,Private,58371,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +32,?,256371,12th,8,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K +43,Private,35824,Some-college,10,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Private,173271,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Private,391349,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +24,Private,86153,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,295855,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,70,United-States,<=50K +33,Self-emp-not-inc,327902,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +35,Private,285102,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Taiwan,>50K +57,Private,178353,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +45,Private,28119,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,7,United-States,<=50K +42,Private,197522,Some-college,10,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +25,Private,108542,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,35,United-States,<=50K +56,Private,179781,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +25,Private,126974,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,180060,Bachelors,13,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,50,United-States,<=50K +35,Local-gov,38948,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K +28,Private,271572,9th,5,Never-married,Other-service,Other-relative,White,Male,0,0,52,United-States,<=50K +41,Private,177305,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +26,Private,238367,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,172232,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,30,United-States,<=50K +22,Private,153805,HS-grad,9,Never-married,Other-service,Unmarried,Other,Male,0,0,20,Puerto-Rico,<=50K +30,Private,26543,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,109067,Bachelors,13,Separated,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,213716,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +49,Private,149809,Preschool,1,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K +27,Private,185670,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +43,Federal-gov,233851,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +68,?,192052,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,2457,40,United-States,<=50K +41,Private,193524,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,40,United-States,<=50K +25,Private,213385,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,38238,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +68,Private,104438,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Ireland,>50K +17,Private,202344,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +45,Self-emp-not-inc,43434,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,102147,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +30,Private,231826,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +49,State-gov,247378,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +42,Private,78765,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,45,United-States,>50K +29,Private,184078,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +21,Local-gov,102942,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,2001,40,United-States,<=50K +20,Private,258430,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,19,United-States,<=50K +59,Private,244554,11th,7,Divorced,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K +26,Private,252565,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +25,Private,262778,Masters,14,Never-married,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K +33,Private,162572,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K +35,Private,65706,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Federal-gov,102569,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +66,Private,350498,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,28,United-States,<=50K +67,?,159542,5th-6th,3,Widowed,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +33,Private,142383,Assoc-acdm,12,Never-married,Sales,Not-in-family,Other,Male,0,0,36,United-States,<=50K +38,Private,229236,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Other,Male,0,0,40,Puerto-Rico,<=50K +72,Private,56559,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,12,United-States,<=50K +21,Private,27049,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K +39,Private,36376,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +41,Private,194360,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K +22,Private,246965,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,12,United-States,<=50K +49,Self-emp-inc,191277,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +24,Private,268525,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,32,United-States,<=50K +25,Private,456604,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,223464,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,341797,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,174461,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,392167,10th,6,Divorced,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K +60,Private,210064,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +67,?,233182,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,7,United-States,<=50K +77,Local-gov,177550,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,3818,0,14,United-States,<=50K +62,Private,143312,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K +22,Private,326334,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +37,Private,179088,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,207637,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K +52,Federal-gov,37289,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K +31,Private,36069,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +23,Federal-gov,53245,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Self-emp-inc,399904,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,50,Mexico,<=50K +38,Self-emp-inc,199346,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,<=50K +23,Private,343019,10th,6,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,State-gov,232742,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +61,Self-emp-not-inc,390472,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,290124,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +23,Private,242912,Some-college,10,Never-married,Other-service,Own-child,White,Female,4650,0,40,United-States,<=50K +39,Private,70240,5th-6th,3,Married-spouse-absent,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +38,Local-gov,286405,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K +25,Private,153841,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,137367,Bachelors,13,Never-married,Sales,Unmarried,Asian-Pac-Islander,Male,0,0,44,Philippines,<=50K +66,Private,313255,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,24,United-States,<=50K +30,Private,100734,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +32,Private,248584,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,60001,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +18,Private,335065,7th-8th,4,Never-married,Sales,Own-child,White,Male,0,0,30,Mexico,<=50K +20,Private,219262,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +20,Private,186830,HS-grad,9,Never-married,Transport-moving,Other-relative,Black,Male,0,0,45,United-States,<=50K +34,Private,226385,Masters,14,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +33,Private,609789,Assoc-acdm,12,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +40,Private,307767,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +33,Private,217460,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +30,Private,104052,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,1741,42,United-States,<=50K +41,Local-gov,160893,Preschool,1,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,30,United-States,<=50K +20,Private,68358,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K +40,Self-emp-not-inc,243636,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +44,Self-emp-not-inc,71269,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,71898,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,35,Philippines,<=50K +38,?,212048,Prof-school,15,Divorced,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +30,Local-gov,115040,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,25,United-States,<=50K +45,Private,111994,Some-college,10,Divorced,Sales,Not-in-family,White,Male,4650,0,40,United-States,<=50K +25,Private,210794,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +22,?,88126,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,570821,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +63,?,146196,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +55,State-gov,169482,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +26,Private,63577,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +22,Private,208946,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,26598,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,189203,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,183892,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +82,?,194590,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,8,United-States,<=50K +18,Private,188616,11th,7,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +60,Private,116707,11th,7,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,99199,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +39,Local-gov,183620,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Female,0,0,40,United-States,>50K +34,Private,110476,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +50,Local-gov,157043,Masters,14,Divorced,Prof-specialty,Not-in-family,Black,Female,2202,0,30,?,<=50K +53,Private,150726,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,214695,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,60,United-States,<=50K +37,Private,172694,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,50,United-States,<=50K +25,Private,344804,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,Mexico,<=50K +33,Private,319422,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,Peru,<=50K +34,State-gov,327902,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +35,Private,438176,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,65,United-States,<=50K +51,Private,197656,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +33,Private,219838,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +57,Self-emp-not-inc,35561,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +25,?,156848,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +56,Private,190257,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,156464,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,85,England,>50K +36,Private,65624,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,201699,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +55,Private,349910,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,>50K +88,Self-emp-not-inc,187097,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +60,Self-emp-not-inc,264314,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,Columbia,<=50K +40,Self-emp-not-inc,282678,Masters,14,Separated,Exec-managerial,Unmarried,White,Female,0,0,20,United-States,<=50K +21,Private,188923,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,55,United-States,<=50K +46,Private,114797,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,36,United-States,<=50K +56,Private,245215,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +36,Self-emp-not-inc,36270,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +67,Self-emp-not-inc,107138,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,77820,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +20,Private,39477,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,58305,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1573,40,United-States,<=50K +23,Private,359759,HS-grad,9,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +19,?,249147,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +19,Private,44797,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,15,United-States,<=50K +25,Private,164488,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +53,Private,48413,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,?,261276,Some-college,10,Never-married,?,Own-child,Black,Female,0,1602,40,Cambodia,<=50K +31,Self-emp-not-inc,36592,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,91,United-States,<=50K +33,Private,280923,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +33,Federal-gov,29617,Some-college,10,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +45,Self-emp-inc,208802,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,25236,0,36,United-States,>50K +35,Private,189240,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +20,?,37932,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,181705,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,147548,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,85,United-States,<=50K +51,Self-emp-not-inc,306784,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K +45,?,260953,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +45,State-gov,190406,Prof-school,15,Divorced,Prof-specialty,Unmarried,Black,Male,25236,0,36,United-States,>50K +24,Private,230229,5th-6th,3,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K +28,Private,46987,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,2174,0,36,United-States,<=50K +63,Private,301108,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,22,United-States,<=50K +35,Private,263081,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,60,United-States,>50K +25,Self-emp-not-inc,37741,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +36,Private,115834,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,7298,0,55,United-States,>50K +44,Private,150076,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +49,Self-emp-not-inc,148254,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Female,0,0,28,United-States,<=50K +52,Private,183611,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,258768,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +35,Private,287658,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Male,0,0,40,United-States,<=50K +51,Private,95946,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +49,Private,31267,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Local-gov,302149,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,7298,0,40,Philippines,>50K +28,Private,250135,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,176073,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +65,Private,23580,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,163665,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +30,Federal-gov,43953,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,144860,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K +58,Self-emp-not-inc,61474,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +57,Private,141570,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1977,40,United-States,>50K +40,Private,225660,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K +42,Private,336891,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +31,Self-emp-not-inc,210164,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +17,Private,171080,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +42,Private,143342,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,281627,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,409922,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +65,?,224472,Prof-school,15,Never-married,?,Not-in-family,White,Male,25124,0,80,United-States,>50K +29,Private,157262,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +31,Private,144949,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +71,Local-gov,303860,Masters,14,Widowed,Exec-managerial,Not-in-family,White,Male,2050,0,20,United-States,<=50K +34,Private,104293,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,195481,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K +40,Private,193995,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +67,Private,105216,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +40,Private,147206,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +18,Private,173585,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,18,United-States,<=50K +38,Private,187870,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K +38,Private,248919,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Guatemala,<=50K +42,Private,280410,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,Haiti,<=50K +36,State-gov,170861,HS-grad,9,Separated,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K +23,Self-emp-not-inc,409230,1st-4th,2,Married-civ-spouse,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +56,Private,340171,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +36,Private,41017,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,United-States,>50K +22,Private,416356,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +39,Private,261504,12th,8,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +36,State-gov,205555,Prof-school,15,Divorced,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +44,Private,245317,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,>50K +38,Private,153685,11th,7,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,52,United-States,<=50K +19,?,169758,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,99374,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +57,Local-gov,139452,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,16,United-States,<=50K +54,Private,227832,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,Self-emp-not-inc,213024,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,30,United-States,<=50K +22,?,24008,Some-college,10,Never-married,?,Own-child,White,Male,0,0,72,United-States,<=50K +63,Self-emp-not-inc,33487,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Self-emp-inc,187934,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,20,Poland,<=50K +26,Private,421561,11th,7,Married-civ-spouse,Other-service,Other-relative,White,Male,0,0,25,United-States,<=50K +40,Private,109969,11th,7,Divorced,Other-service,Other-relative,White,Female,0,0,20,United-States,<=50K +20,Private,116830,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,117166,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2635,0,40,United-States,<=50K +28,Private,106951,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,42,United-States,<=50K +30,Private,89625,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,5,United-States,>50K +42,Private,194537,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,144002,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +21,Private,202214,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,109762,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +36,Private,292570,11th,7,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +67,Private,105252,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,7978,0,35,United-States,<=50K +65,Private,94552,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Local-gov,46401,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K +18,Private,151150,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,27,United-States,<=50K +31,Private,197689,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,38,United-States,<=50K +36,Self-emp-inc,180477,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +20,Private,181761,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,381153,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,165474,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,39,United-States,<=50K +38,Federal-gov,190174,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +17,Private,295991,10th,6,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +52,Without-pay,198262,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K +34,Private,190385,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +30,?,411560,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K +49,Private,262116,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K +45,Private,178922,9th,5,Never-married,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K +46,Private,192963,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,2415,35,Philippines,>50K +34,Self-emp-inc,209538,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +21,Self-emp-not-inc,103277,12th,8,Married-civ-spouse,Adm-clerical,Wife,White,Female,4508,0,30,Portugal,<=50K +17,Private,216086,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +23,Private,636017,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +32,Private,155781,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,136873,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,State-gov,122066,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,>50K +27,State-gov,346406,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Male,0,0,50,United-States,<=50K +43,Private,117915,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,19914,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,50,Philippines,<=50K +55,Private,255364,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +31,Private,703107,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +34,Private,62374,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K +34,Private,96245,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,348796,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,136873,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K +35,Private,388252,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +28,Private,47783,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +62,Private,194167,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,2174,0,40,United-States,<=50K +40,Federal-gov,544792,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,434463,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,39,United-States,<=50K +32,Private,317219,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1590,40,United-States,<=50K +70,Private,221603,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,34,United-States,<=50K +23,Private,233711,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,111567,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,48,United-States,<=50K +57,Private,79830,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +34,Self-emp-not-inc,192259,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +24,Private,239663,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +41,Local-gov,34987,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +38,Self-emp-not-inc,409189,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Mexico,<=50K +48,Private,135525,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,152159,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +18,Private,141363,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,214816,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +42,Private,42907,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,48,United-States,<=50K +30,Private,161815,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +42,Private,127314,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +48,Private,395368,Some-college,10,Divorced,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K +70,Private,184176,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K +37,Private,112660,9th,5,Divorced,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +51,Private,183709,Assoc-voc,11,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,434114,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +59,Self-emp-not-inc,165315,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,43,United-States,>50K +57,Private,190997,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +26,Private,335533,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +26,Private,176146,5th-6th,3,Separated,Craft-repair,Not-in-family,Other,Male,0,0,35,Mexico,<=50K +19,Private,272063,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +34,Private,169564,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +56,Private,188856,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,8614,0,55,United-States,>50K +25,Private,69847,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +46,Self-emp-not-inc,198759,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,80,United-States,>50K +22,Private,175431,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +32,Private,228357,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,40,?,<=50K +72,Self-emp-not-inc,284120,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,109133,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,167336,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K +76,?,42209,9th,5,Widowed,?,Not-in-family,White,Male,0,0,25,United-States,<=50K +37,Private,282951,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,303155,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +44,Private,261899,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,<=50K +33,Private,168030,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,7298,0,21,United-States,>50K +53,State-gov,71417,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,239130,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +69,Private,200560,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,20,United-States,<=50K +20,Private,157541,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,27,United-States,<=50K +33,Private,255004,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +47,Private,230136,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,60,United-States,>50K +50,Local-gov,124963,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,35,United-States,>50K +22,Private,39615,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +20,Private,47678,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +42,Local-gov,281315,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +23,Private,176123,HS-grad,9,Never-married,Tech-support,Other-relative,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +24,?,165350,HS-grad,9,Separated,?,Not-in-family,Black,Male,0,0,50,Germany,<=50K +32,Private,235862,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +41,Private,142579,Bachelors,13,Widowed,Sales,Unmarried,Black,Male,0,0,50,United-States,<=50K +35,Private,38294,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,111483,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +25,Private,189850,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K +34,State-gov,145874,Doctorate,16,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,20,China,<=50K +23,Private,139012,Assoc-voc,11,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,40,South,<=50K +30,Local-gov,211654,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +55,Local-gov,173090,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K +26,Private,104834,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1669,40,United-States,<=50K +42,?,195124,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,60,Dominican-Republic,<=50K +39,Private,32146,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +52,Private,282674,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K +42,Private,190403,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Male,0,0,60,Canada,<=50K +25,Private,247025,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,3325,0,48,United-States,<=50K +27,Private,198258,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +30,Self-emp-not-inc,172748,7th-8th,4,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +23,State-gov,287988,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,10520,0,40,United-States,>50K +47,Self-emp-not-inc,122307,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K +58,?,175017,Bachelors,13,Divorced,?,Not-in-family,White,Male,0,0,25,United-States,<=50K +18,Private,170183,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +52,Private,150812,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +24,Private,241185,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K +58,Self-emp-inc,174864,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +35,Private,30529,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,301637,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,423222,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,60,United-States,>50K +43,Private,214781,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,40,United-States,>50K +21,Private,242912,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,35,United-States,<=50K +52,Private,191529,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1740,60,United-States,<=50K +24,Private,117363,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +22,Private,333158,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,48,United-States,<=50K +39,Private,193260,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,25,Mexico,<=50K +34,State-gov,278378,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +58,Private,111394,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +26,Private,102476,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K +29,Private,26451,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +67,?,209137,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,210945,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,35,Haiti,<=50K +62,Local-gov,115023,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,53833,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +36,Private,150057,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K +18,Private,128086,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,18,United-States,<=50K +25,Private,28473,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,155509,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Female,0,0,40,United-States,<=50K +56,Private,165315,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,?,<=50K +30,Private,171889,Prof-school,15,Never-married,Tech-support,Own-child,White,Female,0,0,24,United-States,<=50K +41,Local-gov,185057,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +59,Private,277034,HS-grad,9,Divorced,Tech-support,Unmarried,White,Male,0,0,60,United-States,>50K +36,Private,166606,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,97453,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,54,United-States,<=50K +27,Private,136094,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +19,?,61855,HS-grad,9,Never-married,?,Other-relative,White,Female,0,0,30,United-States,<=50K +30,Private,182771,Bachelors,13,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,15,China,<=50K +47,Private,418961,Assoc-voc,11,Divorced,Sales,Unmarried,Black,Female,0,0,25,United-States,<=50K +39,Private,106961,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +31,Private,81846,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +44,Private,105936,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,36425,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,595088,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,63,United-States,<=50K +38,Private,149018,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,229613,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,33521,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +40,Private,70539,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,4386,0,50,United-States,<=50K +53,State-gov,105728,HS-grad,9,Married-civ-spouse,Other-service,Wife,Amer-Indian-Eskimo,Female,0,0,28,United-States,>50K +31,Private,193215,Some-college,10,Married-civ-spouse,Exec-managerial,Own-child,White,Male,0,0,50,United-States,<=50K +18,Private,137363,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +43,Self-emp-inc,104892,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +30,Private,149427,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +19,State-gov,176634,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,183279,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,?,225775,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,202091,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,60,United-States,<=50K +36,Private,123151,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +22,Private,168187,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K +42,Federal-gov,33521,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +33,State-gov,243678,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,164898,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,?,262280,Some-college,10,Married-civ-spouse,?,Wife,White,Female,3781,0,40,United-States,<=50K +33,State-gov,290614,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +52,Self-emp-not-inc,199265,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +30,Private,207668,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +18,State-gov,30687,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K +24,State-gov,27939,Some-college,10,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,24,?,<=50K +17,Private,438996,10th,6,Never-married,Other-service,Other-relative,White,Male,0,0,40,Mexico,<=50K +48,Private,152915,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +66,?,186030,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K +46,Local-gov,297759,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Private,171242,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K +28,Private,206088,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,182792,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,167725,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,24,United-States,<=50K +43,Private,160674,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,194710,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,255027,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,204641,10th,6,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,50,United-States,<=50K +20,State-gov,177787,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +29,Private,54932,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,35,United-States,>50K +54,Self-emp-not-inc,91506,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K +34,Private,198634,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,227146,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +59,Private,135647,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +40,Private,55508,7th-8th,4,Divorced,Farming-fishing,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,174912,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,175925,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Self-emp-not-inc,157486,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +49,Local-gov,329144,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,44,United-States,>50K +67,?,81761,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,<=50K +49,Self-emp-not-inc,102318,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,25,United-States,<=50K +30,Federal-gov,266463,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +56,Federal-gov,107314,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +29,Private,114158,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,124052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,144301,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,42,United-States,<=50K +28,Private,176683,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,70,United-States,>50K +23,Private,234663,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Self-emp-not-inc,178948,HS-grad,9,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,50,United-States,<=50K +37,Self-emp-not-inc,607848,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +39,Private,202937,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +32,Federal-gov,83413,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,>50K +26,Private,212798,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +57,Federal-gov,192258,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,112497,9th,5,Married-civ-spouse,Sales,Own-child,White,Male,0,0,50,United-States,>50K +30,Private,97521,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +27,Private,160972,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +21,Private,322931,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K +22,Private,403519,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +43,Local-gov,330174,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,278155,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,39054,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +57,Private,170287,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +42,Private,336643,Assoc-voc,11,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,264166,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,45,Columbia,<=50K +44,Local-gov,433705,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,>50K +28,Private,27044,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,<=50K +42,Private,165599,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +26,Private,159759,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,385092,Some-college,10,Divorced,Prof-specialty,Own-child,White,Female,0,0,36,United-States,<=50K +42,Private,188808,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Male,0,0,30,United-States,<=50K +30,Private,167476,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +21,State-gov,194096,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +59,Private,182460,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,>50K +21,?,102323,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +56,Private,232139,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,341741,Preschool,1,Never-married,Other-service,Not-in-family,White,Female,0,0,12,United-States,<=50K +21,Private,206008,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,50,United-States,<=50K +48,Private,344415,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,37,United-States,>50K +35,State-gov,372130,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K +43,Private,27766,Bachelors,13,Separated,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,>50K +23,Private,140764,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +17,?,161259,10th,6,Never-married,?,Other-relative,White,Male,0,0,12,United-States,<=50K +41,Private,22201,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,>50K +35,Self-emp-inc,187046,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +22,Private,137591,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +53,Private,274276,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,341757,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,218542,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +44,Local-gov,190020,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +27,Private,221436,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Cuba,>50K +39,Self-emp-not-inc,52187,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,158776,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +34,Local-gov,51543,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K +17,Private,146329,12th,8,Never-married,Sales,Own-child,White,Female,0,0,23,United-States,<=50K +31,Private,397467,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,105592,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,12,United-States,<=50K +39,Private,78171,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +46,State-gov,55377,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K +31,Private,258932,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,80,Italy,<=50K +27,Private,38606,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1504,45,United-States,<=50K +18,Private,219841,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K +46,Private,156926,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +55,Private,160362,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +48,Private,192161,Bachelors,13,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,43,United-States,<=50K +53,Private,208570,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,26,United-States,<=50K +44,Self-emp-not-inc,182771,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,48,South,>50K +43,Private,151089,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +50,Private,163002,HS-grad,9,Separated,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +56,Private,155657,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,20,Yugoslavia,<=50K +27,Private,217530,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +20,Private,244406,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +18,Local-gov,152182,10th,6,Never-married,Protective-serv,Own-child,White,Female,0,0,6,United-States,<=50K +34,Private,55717,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,50,United-States,>50K +38,Private,201454,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Self-emp-inc,144371,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,15,United-States,<=50K +55,Private,277034,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,462832,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,Black,Female,0,0,40,United-States,>50K +26,Private,200681,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +54,State-gov,119565,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Puerto-Rico,>50K +22,Private,192017,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +52,Local-gov,84808,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +33,Private,100154,10th,6,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,169383,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +19,Without-pay,43887,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,10,United-States,<=50K +45,Private,54260,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,99,United-States,<=50K +53,Self-emp-not-inc,159876,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,3103,0,72,United-States,<=50K +46,Private,160474,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,1590,43,United-States,<=50K +25,Private,476334,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +90,Private,52386,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +33,Private,83671,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K +45,Private,172960,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,70,United-States,<=50K +47,Private,191957,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K +38,Local-gov,40955,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,43,United-States,<=50K +35,?,98080,Prof-school,15,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,4787,0,45,Japan,>50K +37,Private,175643,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +53,State-gov,197184,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K +56,Private,187295,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +18,Private,40822,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K +44,Private,228729,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,?,<=50K +50,Private,240496,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,36,United-States,<=50K +26,Private,51961,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,20,United-States,<=50K +36,Private,174887,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,95855,11th,7,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,362259,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Self-emp-not-inc,30916,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +62,Private,153148,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,84,United-States,<=50K +46,Private,167915,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,45156,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,2174,0,41,United-States,<=50K +37,Private,98776,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,15,United-States,<=50K +27,Private,209801,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,?,<=50K +38,Private,183800,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,54595,12th,8,Never-married,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K +34,Private,79637,Bachelors,13,Never-married,Exec-managerial,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +50,Private,126566,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +28,Private,233796,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,7298,0,32,United-States,>50K +67,Local-gov,191800,Bachelors,13,Divorced,Adm-clerical,Unmarried,Black,Female,6360,0,35,United-States,<=50K +34,Self-emp-not-inc,527162,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K +19,Private,139466,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +23,Private,64520,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +50,Private,97741,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +45,Local-gov,160173,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +17,Private,350995,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +59,?,182836,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,>50K +25,Private,143267,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,48,United-States,<=50K +21,Private,346341,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Private,172175,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +17,Private,153035,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +63,Private,200127,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Local-gov,204470,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,43,United-States,<=50K +45,Private,353012,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,194342,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,57898,12th,8,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,164707,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,?,<=50K +42,Private,269028,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,France,<=50K +56,Private,83922,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +47,Private,160647,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Female,0,0,46,United-States,<=50K +69,Private,125437,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K +42,Private,246011,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,55,United-States,<=50K +19,Private,216937,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Other,Female,0,0,60,Guatemala,<=50K +56,Self-emp-not-inc,66356,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +33,Private,154981,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,50,United-States,>50K +61,Federal-gov,197311,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,301743,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +50,Self-emp-not-inc,401118,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,50,United-States,>50K +39,Private,98776,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +35,Self-emp-not-inc,32528,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +27,Private,177119,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,44,United-States,<=50K +40,Self-emp-inc,193524,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +59,State-gov,192258,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +20,?,145917,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,15,United-States,<=50K +42,Federal-gov,214838,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,30,United-States,>50K +59,Private,176011,Some-college,10,Separated,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +54,Self-emp-inc,147239,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +38,Private,159179,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K +53,Private,155963,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +20,Private,360457,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,30,United-States,<=50K +54,Federal-gov,114674,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +41,Self-emp-not-inc,95708,Masters,14,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,45,United-States,>50K +33,Local-gov,100734,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,55,United-States,<=50K +35,Private,188972,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K +22,Private,162667,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,Portugal,<=50K +45,Self-emp-not-inc,28497,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1485,70,United-States,>50K +29,Private,180758,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Self-emp-not-inc,346635,Masters,14,Divorced,Sales,Unmarried,White,Female,0,2339,60,United-States,<=50K +23,Private,46645,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K +30,Private,203258,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +17,Private,134480,11th,7,Never-married,Priv-house-serv,Own-child,White,Female,0,0,25,United-States,<=50K +35,Local-gov,85548,Some-college,10,Separated,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +25,Private,195994,1st-4th,2,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,Guatemala,<=50K +42,State-gov,148316,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +42,Private,227466,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K +19,Private,68552,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +32,Private,252257,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +44,Private,30126,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +53,Private,304353,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,>50K +47,Self-emp-not-inc,171968,Bachelors,13,Widowed,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,60,Thailand,<=50K +24,Private,205839,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +30,State-gov,218640,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,>50K +42,Private,150568,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K +19,Private,382738,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +37,Self-emp-not-inc,138940,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,37,United-States,<=50K +26,Self-emp-not-inc,258306,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K +25,Local-gov,190107,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,1719,16,United-States,<=50K +52,Private,152373,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +50,Local-gov,141875,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,79586,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,99999,0,40,?,>50K +32,Private,157289,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +37,Private,184498,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +42,Local-gov,109684,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1741,35,United-States,<=50K +47,Private,199832,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,23545,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,175710,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +27,Private,52028,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,40,South,<=50K +61,Self-emp-not-inc,315977,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +47,Private,202322,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +30,Private,251825,Assoc-acdm,12,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +54,Private,202115,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,>50K +56,Local-gov,216824,Prof-school,15,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +69,Private,145656,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,24,United-States,<=50K +30,Private,137076,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +36,Private,152621,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,>50K +42,Self-emp-not-inc,27242,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +45,Federal-gov,358242,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +39,Private,184117,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,20,United-States,>50K +26,Private,300290,11th,7,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +28,Local-gov,149991,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,42,United-States,>50K +31,Private,189759,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +32,Private,339482,5th-6th,3,Separated,Farming-fishing,Other-relative,White,Male,0,0,60,Mexico,<=50K +51,Private,100933,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K +29,Private,354558,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +38,Local-gov,162613,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,2258,60,United-States,<=50K +64,Private,285052,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,10,United-States,<=50K +26,State-gov,175044,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +68,Private,45508,5th-6th,3,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,22,United-States,<=50K +32,Private,173351,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +29,Private,173611,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +51,?,182543,1st-4th,2,Separated,?,Unmarried,White,Female,0,0,40,Mexico,<=50K +21,Private,143062,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +26,?,137951,10th,6,Separated,?,Other-relative,White,Female,0,0,40,Puerto-Rico,<=50K +33,Local-gov,293063,Bachelors,13,Married-spouse-absent,Prof-specialty,Other-relative,Black,Male,0,0,40,?,<=50K +26,Private,377754,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Private,152373,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2105,0,40,United-States,<=50K +31,Private,193477,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +29,Local-gov,277323,HS-grad,9,Never-married,Protective-serv,Unmarried,White,Male,0,0,45,United-States,<=50K +19,Private,69182,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,27,United-States,<=50K +51,Private,219599,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +45,Private,129371,9th,5,Separated,Other-service,Unmarried,Other,Female,0,0,40,Trinadad&Tobago,<=50K +20,Private,470875,HS-grad,9,Married-civ-spouse,Sales,Own-child,Black,Male,0,0,32,United-States,<=50K +40,Private,201734,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,48,United-States,<=50K +43,Private,58447,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,55,United-States,>50K +52,Local-gov,91689,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,166546,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,24,United-States,<=50K +24,Private,293324,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,219262,9th,5,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +38,Self-emp-not-inc,403391,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +44,Private,367749,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Mexico,<=50K +24,Private,128487,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,State-gov,111363,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,75,United-States,>50K +49,Private,240869,7th-8th,4,Never-married,Other-service,Other-relative,White,Male,0,0,35,United-States,<=50K +36,Private,163278,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,416415,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +46,?,280030,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,40,Mexico,<=50K +46,Private,251243,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Local-gov,167159,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,70,United-States,>50K +29,Private,161857,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,Other,Female,0,0,40,Columbia,<=50K +37,Private,160035,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,?,190205,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K +28,?,161290,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K +28,Self-emp-not-inc,112403,Bachelors,13,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +48,Private,238726,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +52,Private,164530,11th,7,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,20,United-States,<=50K +19,Private,456572,HS-grad,9,Never-married,Farming-fishing,Other-relative,White,Male,0,0,35,United-States,<=50K +31,Self-emp-not-inc,177675,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +47,Private,246739,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,55,United-States,>50K +37,Private,102953,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,?,224238,Some-college,10,Never-married,?,Own-child,White,Male,0,0,2,United-States,<=50K +46,Private,155489,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K +51,Self-emp-not-inc,156802,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,3103,0,60,United-States,>50K +50,Private,168212,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,45,United-States,>50K +38,Private,331395,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,3942,0,84,Portugal,<=50K +40,Local-gov,261497,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,35,United-States,<=50K +58,Private,365511,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Other,Male,0,0,40,Mexico,<=50K +36,Private,187999,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +26,Local-gov,190350,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,35,United-States,<=50K +17,?,166759,12th,8,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +49,Private,168262,10th,6,Divorced,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K +39,State-gov,122011,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,5178,0,38,United-States,>50K +46,Private,165953,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +26,Private,375980,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,37,United-States,<=50K +40,Federal-gov,406463,Masters,14,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,State-gov,231472,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +60,Self-emp-not-inc,78913,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +28,Private,69107,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +22,?,182387,Some-college,10,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,12,Thailand,<=50K +31,Private,169002,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,55,United-States,<=50K +45,Private,229967,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,13550,0,50,United-States,>50K +34,Private,422836,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,Mexico,<=50K +27,State-gov,230922,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,Scotland,<=50K +40,Private,195892,Some-college,10,Divorced,Transport-moving,Not-in-family,Black,Female,0,0,40,United-States,<=50K +68,Private,163346,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,32,United-States,<=50K +51,Private,82566,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +55,Private,86505,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,<=50K +43,Private,178780,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +23,State-gov,173945,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,27,United-States,<=50K +48,Private,176810,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +42,Self-emp-inc,23813,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,2885,0,30,United-States,<=50K +51,Self-emp-inc,210736,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,10520,0,40,United-States,>50K +32,Private,343789,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5013,0,55,United-States,<=50K +34,Private,113838,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +31,Local-gov,121055,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,>50K +71,?,52171,7th-8th,4,Divorced,?,Unmarried,White,Male,0,0,45,United-States,<=50K +17,Private,566049,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,8,United-States,<=50K +37,Private,67433,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +26,Private,39014,12th,8,Married-civ-spouse,Priv-house-serv,Wife,Other,Female,0,0,40,Dominican-Republic,<=50K +17,Private,51939,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +34,Private,100669,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +46,Private,155659,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K +33,Private,112847,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K +41,Local-gov,32185,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +59,Private,138370,10th,6,Married-spouse-absent,Protective-serv,Not-in-family,Asian-Pac-Islander,Male,0,0,40,India,<=50K +50,Self-emp-not-inc,172281,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +46,Private,180505,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +45,Private,168262,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,85126,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,113838,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,197457,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,1471,0,38,United-States,<=50K +28,Private,197905,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,316589,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +36,Private,336367,Assoc-acdm,12,Never-married,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K +39,Self-emp-inc,143123,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2415,40,United-States,>50K +23,Private,209955,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,210013,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +37,Private,224541,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,275653,7th-8th,4,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Female,2977,0,40,Puerto-Rico,<=50K +45,Private,88061,11th,7,Married-spouse-absent,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Female,0,0,40,South,<=50K +43,Federal-gov,195897,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,7298,0,40,United-States,>50K +49,Private,43206,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,>50K +37,Private,202950,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +26,Private,154093,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K +34,Private,112115,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,55,United-States,>50K +51,Private,355954,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +24,Private,379418,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +67,Self-emp-not-inc,286372,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,48087,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,45,United-States,>50K +32,Private,387270,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +21,Private,270043,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +39,Self-emp-not-inc,65738,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,>50K +33,Private,159888,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,278039,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +21,Private,265434,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K +68,Self-emp-inc,52052,Assoc-voc,11,Widowed,Sales,Not-in-family,White,Female,25124,0,50,United-States,>50K +24,Private,208882,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +24,Private,229393,11th,7,Never-married,Farming-fishing,Unmarried,White,Male,2463,0,40,United-States,<=50K +23,Private,53513,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,45,United-States,<=50K +40,Private,225193,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,63,United-States,<=50K +48,Private,166809,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +42,Self-emp-not-inc,175674,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +45,Federal-gov,368947,Bachelors,13,Never-married,Protective-serv,Not-in-family,Black,Female,0,0,40,United-States,<=50K +31,Private,194901,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +53,Private,203173,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +25,Private,267431,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,55,United-States,<=50K +32,Private,111836,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,50,United-States,<=50K +34,Private,198613,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,?,<=50K +41,Self-emp-inc,149102,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +57,Local-gov,121111,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,130397,10th,6,Never-married,Farming-fishing,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +40,Private,212847,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2179,40,United-States,<=50K +17,Private,184198,11th,7,Never-married,Sales,Own-child,White,Female,0,0,13,United-States,<=50K +17,Private,121287,9th,5,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +82,Self-emp-inc,120408,Some-college,10,Widowed,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K +40,Private,164678,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K +26,Private,388812,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,35,United-States,<=50K +37,Private,294919,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,101684,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +65,Private,36209,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,22,United-States,>50K +39,Private,123983,Bachelors,13,Divorced,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,40,China,<=50K +36,Self-emp-not-inc,340001,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,203828,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +23,Private,183789,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,305619,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +63,Self-emp-not-inc,174181,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K +59,Private,131869,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +49,Self-emp-not-inc,43479,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +62,?,203126,9th,5,Never-married,?,Unmarried,White,Female,0,0,40,Dominican-Republic,<=50K +17,Private,118792,11th,7,Never-married,Sales,Own-child,White,Female,0,0,9,United-States,<=50K +28,Private,272913,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,Mexico,<=50K +45,Federal-gov,222011,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +40,Self-emp-inc,301007,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +45,Private,197731,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,173736,9th,5,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +19,?,182590,10th,6,Never-married,?,Not-in-family,White,Female,0,0,38,United-States,<=50K +59,Local-gov,93211,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,22,United-States,>50K +41,Private,24763,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,7443,0,40,United-States,<=50K +49,Local-gov,219021,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,48,United-States,>50K +37,Private,137229,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,>50K +31,Self-emp-not-inc,281030,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +21,Private,234108,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,46868,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,15,United-States,<=50K +20,?,162667,HS-grad,9,Never-married,?,Other-relative,White,Male,0,0,40,El-Salvador,<=50K +51,Private,173291,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,305160,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +48,Private,212954,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +39,Local-gov,112284,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Private,164198,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,15024,0,45,United-States,>50K +41,Private,152958,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +21,Private,145389,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K +54,Self-emp-inc,119570,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +40,Private,272343,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +44,Private,187720,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,United-States,<=50K +50,Private,145409,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +42,Private,208726,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +34,Private,203488,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,330416,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,25803,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,171150,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +37,Private,82576,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,14084,0,36,United-States,>50K +30,Private,329425,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,185452,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +21,Private,201179,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,182268,Preschool,1,Married-spouse-absent,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +56,Self-emp-not-inc,95763,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +48,Private,125892,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Poland,<=50K +21,Private,121407,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,36,United-States,<=50K +52,Private,373367,11th,7,Widowed,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Local-gov,165982,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +45,Private,165484,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +30,Private,156890,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +31,Private,156763,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,2829,0,40,United-States,<=50K +43,Private,244172,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,35,?,<=50K +36,Private,219814,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Guatemala,<=50K +42,Private,171841,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +28,Local-gov,168524,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,35,United-States,>50K +62,Private,205643,Prof-school,15,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +65,?,174904,HS-grad,9,Separated,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,102559,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,>50K +47,Private,60267,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K +43,Private,388725,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,215712,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +44,Private,171722,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,39,United-States,<=50K +25,Private,193051,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,25,United-States,<=50K +21,Private,305446,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,146949,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,<=50K +21,Private,322144,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Self-emp-inc,75742,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,El-Salvador,>50K +64,?,380687,Bachelors,13,Married-civ-spouse,?,Wife,Black,Female,0,0,8,United-States,<=50K +55,Self-emp-not-inc,95149,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,<=50K +42,Private,68469,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +63,Self-emp-not-inc,27653,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +21,Private,410439,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,24,United-States,<=50K +28,Private,37821,Assoc-voc,11,Never-married,Sales,Unmarried,White,Female,0,0,55,?,<=50K +45,Private,228570,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,35,United-States,<=50K +21,Private,141453,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,88215,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,China,>50K +53,Private,48641,12th,8,Never-married,Other-service,Not-in-family,Other,Female,0,0,35,United-States,<=50K +45,Private,185385,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,341471,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,4,United-States,<=50K +41,Private,163322,11th,7,Divorced,Exec-managerial,Unmarried,White,Female,0,0,36,United-States,<=50K +35,Private,99357,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1977,30,United-States,>50K +43,Self-emp-inc,602513,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +53,Local-gov,287192,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,32,Mexico,<=50K +34,Private,215047,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +46,Federal-gov,97863,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,5178,0,40,United-States,>50K +59,Private,308118,Assoc-acdm,12,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +53,Private,137192,Bachelors,13,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Male,0,0,50,United-States,<=50K +33,Private,275369,7th-8th,4,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,35,Haiti,<=50K +45,Private,99971,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +48,Self-emp-inc,103713,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +42,Private,253770,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +55,Private,162205,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,72,United-States,>50K +46,Self-emp-not-inc,31267,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +17,Private,198146,11th,7,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K +23,Private,178207,Some-college,10,Never-married,Handlers-cleaners,Unmarried,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K +21,Private,317175,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +53,Federal-gov,221791,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +61,Self-emp-inc,187124,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,>50K +58,State-gov,280519,HS-grad,9,Divorced,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +36,Private,207568,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +45,Local-gov,192684,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,38,United-States,<=50K +39,Private,103260,Bachelors,13,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,30,United-States,>50K +39,Private,191227,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,13550,0,50,United-States,>50K +48,Self-emp-inc,382242,Doctorate,16,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +41,Private,106900,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,<=50K +30,Private,48520,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2002,40,United-States,<=50K +50,Private,55527,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,45,United-States,<=50K +51,Self-emp-not-inc,246820,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,48,United-States,>50K +23,Private,33884,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,29762,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +47,Federal-gov,168109,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,70,United-States,<=50K +51,Private,207449,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +60,Self-emp-inc,189098,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,194259,Bachelors,13,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +20,Local-gov,194630,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Local-gov,179681,HS-grad,9,Never-married,Transport-moving,Own-child,White,Female,0,0,37,United-States,<=50K +42,State-gov,136996,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,48,United-States,<=50K +32,Private,143604,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,16,United-States,<=50K +19,Private,243373,12th,8,Never-married,Sales,Other-relative,White,Male,1055,0,40,United-States,<=50K +34,Private,261799,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,45,United-States,>50K +48,Private,143281,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,48,United-States,<=50K +38,Private,185556,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,<=50K +38,Private,111499,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +40,Self-emp-not-inc,280433,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,37314,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +38,Private,103408,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,?,<=50K +26,Private,270151,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,State-gov,96748,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K +20,Private,164775,5th-6th,3,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Guatemala,<=50K +49,Private,190319,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,Philippines,<=50K +23,Private,213115,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +47,Private,156926,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,Canada,>50K +43,Private,112967,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,35373,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +60,Self-emp-not-inc,220342,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +29,Private,163167,HS-grad,9,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,404951,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,38,United-States,<=50K +39,Private,122032,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,143582,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,Other,Female,4101,0,35,United-States,<=50K +38,Private,108140,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,2202,0,45,United-States,<=50K +47,Private,251508,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,36,United-States,<=50K +50,Self-emp-not-inc,197054,Prof-school,15,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +64,Self-emp-not-inc,36960,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +35,Private,165930,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,?,178960,11th,7,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,214503,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K +51,Private,110458,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,202125,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Self-emp-not-inc,284329,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +29,Private,192924,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,340917,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,2829,0,50,?,<=50K +37,Private,340614,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +20,Private,196678,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +18,Private,266489,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +57,Private,61474,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,45,United-States,>50K +47,?,99127,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +27,Private,215955,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,2829,0,40,United-States,<=50K +23,Self-emp-inc,215395,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +36,Self-emp-inc,183898,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +48,Private,97176,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +40,Private,145160,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,<=50K +51,Private,357949,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,16,United-States,<=50K +59,Private,177120,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,288229,Some-college,10,Married-civ-spouse,Sales,Other-relative,Asian-Pac-Islander,Female,0,0,40,Greece,<=50K +39,Private,509060,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,47932,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,103925,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +44,State-gov,183829,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +51,Private,138852,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,188186,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,20,Hungary,<=50K +22,Private,34616,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +19,Private,220819,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Female,0,0,40,United-States,<=50K +31,Federal-gov,281540,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K +53,Private,47396,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,141350,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +19,Private,331433,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,32,United-States,<=50K +40,Federal-gov,346532,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K +21,Private,241367,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K +39,Private,216256,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Italy,>50K +40,Local-gov,153031,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,35,United-States,>50K +36,Private,116138,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,<=50K +18,Private,193166,9th,5,Never-married,Sales,Own-child,White,Female,0,0,42,United-States,<=50K +32,Self-emp-inc,275094,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,55,Mexico,>50K +50,Private,81548,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,167979,11th,7,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +19,Private,67759,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,43,United-States,<=50K +53,Private,200190,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K +49,Private,403112,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,32,United-States,<=50K +40,Private,214891,Bachelors,13,Married-spouse-absent,Transport-moving,Own-child,Other,Male,0,0,45,?,<=50K +31,Private,142675,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,88500,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +35,Local-gov,145308,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +47,Local-gov,204377,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +43,Self-emp-not-inc,260696,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +51,Private,231181,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,21,United-States,<=50K +54,Private,260052,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +76,Local-gov,178665,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +33,Private,226267,7th-8th,4,Never-married,Sales,Not-in-family,White,Male,0,0,43,Mexico,<=50K +19,Private,111232,12th,8,Never-married,Transport-moving,Own-child,White,Male,0,0,15,United-States,<=50K +49,Private,87928,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K +26,Private,212748,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,110677,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +49,Private,139268,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +24,Private,306779,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K +48,Private,318331,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +36,State-gov,143385,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,288273,12th,8,Separated,Adm-clerical,Unmarried,White,Female,1471,0,40,United-States,<=50K +31,Private,167725,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,15024,0,48,Philippines,>50K +53,Private,94081,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K +22,Private,194723,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +43,Private,163985,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,189759,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Italy,<=50K +53,State-gov,195922,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Federal-gov,54159,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +47,Local-gov,166863,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +52,Private,104501,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Germany,>50K +39,Private,210626,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,448026,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +17,Local-gov,170916,10th,6,Never-married,Protective-serv,Own-child,White,Female,0,1602,40,United-States,<=50K +53,Local-gov,283602,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,40,United-States,>50K +21,Private,189749,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,90934,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,64,Philippines,>50K +34,State-gov,253121,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,181776,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +61,Private,162397,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +20,Private,70708,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K +47,State-gov,103406,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,224658,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +26,Local-gov,213451,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,10,Jamaica,<=50K +53,Private,139671,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +26,Private,36201,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +39,Private,237713,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,2415,99,United-States,>50K +17,Local-gov,173497,11th,7,Never-married,Prof-specialty,Own-child,Black,Male,0,0,15,United-States,<=50K +46,Private,375606,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +34,Private,203488,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K +45,Self-emp-not-inc,107231,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,France,<=50K +23,Private,216811,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K +41,Private,288679,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,105516,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Self-emp-not-inc,282972,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,4,United-States,<=50K +18,Self-emp-inc,117372,11th,7,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +38,Private,112497,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +66,?,186032,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,2964,0,30,United-States,<=50K +28,Private,192384,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +49,Private,43348,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +29,Private,181822,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Local-gov,216070,Masters,14,Married-civ-spouse,Exec-managerial,Wife,Amer-Indian-Eskimo,Female,0,0,50,United-States,>50K +34,State-gov,112062,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,218551,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +25,Private,404616,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +27,Private,169460,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,240081,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K +22,Private,147655,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +26,Private,90277,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,?,<=50K +49,Private,60751,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,194636,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,50,United-States,<=50K +37,Self-emp-not-inc,154641,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,2105,0,50,United-States,<=50K +39,Private,491000,Bachelors,13,Never-married,Exec-managerial,Other-relative,Black,Male,0,0,45,United-States,<=50K +33,Private,399088,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Self-emp-not-inc,186909,Masters,14,Married-civ-spouse,Sales,Wife,White,Female,0,1902,35,United-States,>50K +65,Private,105491,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K +40,Private,34987,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,53,United-States,<=50K +26,?,167835,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K +31,Private,288983,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,266070,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +71,Private,110380,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,2467,52,United-States,<=50K +25,Local-gov,31873,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,294400,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +19,?,184308,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,30,United-States,<=50K +36,Self-emp-not-inc,175769,Prof-school,15,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +56,Private,182273,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,106541,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,138192,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +31,Private,196791,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K +22,Private,223019,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +44,Private,109273,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K +60,Self-emp-not-inc,95490,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +65,Private,149131,11th,7,Divorced,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +44,Private,219155,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,England,>50K +53,Local-gov,82783,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,214858,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,170230,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +40,Self-emp-inc,209344,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,15,?,<=50K +35,Private,90406,11th,7,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +41,Self-emp-inc,299813,9th,5,Married-civ-spouse,Sales,Wife,White,Female,0,0,70,Dominican-Republic,<=50K +28,Private,188064,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Canada,<=50K +53,Private,246117,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +26,Private,132749,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,45,United-States,<=50K +28,Local-gov,201099,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Female,0,0,40,United-States,<=50K +27,Private,97490,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,221252,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Female,0,0,8,United-States,<=50K +26,Private,116991,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +53,Private,161691,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +34,Private,107793,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,>50K +50,Self-emp-inc,194514,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,50,Trinadad&Tobago,<=50K +30,Private,278502,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,62,United-States,<=50K +47,Private,343742,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K +27,?,204074,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +55,Federal-gov,31965,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,143604,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,29,?,<=50K +35,Private,174308,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +31,Self-emp-not-inc,162551,12th,8,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,0,50,?,<=50K \ No newline at end of file diff --git a/baselines/flanders/flanders/datasets_files/adult_server.csv b/baselines/flanders/flanders/datasets_files/adult_server.csv new file mode 100644 index 000000000000..244ac6be2c0a --- /dev/null +++ b/baselines/flanders/flanders/datasets_files/adult_server.csv @@ -0,0 +1,9771 @@ +age,workclass,fnlwgt,education,educational-num,marital-status,occupation,relationship,race,gender,capital-gain,capital-loss,hours-per-week,native-country,income +39,Self-emp-inc,372525,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +30,Private,75167,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +39,Private,176296,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,1887,40,United-States,>50K +19,Private,93518,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +25,?,126797,HS-grad,9,Married-spouse-absent,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Self-emp-not-inc,25124,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K +21,Private,112137,Some-college,10,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,0,20,South,<=50K +30,?,58798,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,0,44,United-States,<=50K +25,Self-emp-not-inc,21472,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,22,United-States,<=50K +32,Private,90969,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +26,Private,149734,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Female,0,1594,40,United-States,<=50K +42,Private,52849,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +39,Self-emp-not-inc,106347,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,47,United-States,<=50K +48,Private,199735,Bachelors,13,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,44,Germany,<=50K +24,Private,488541,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K +46,Private,403911,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +53,Private,172991,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K +36,Federal-gov,210945,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,70,United-States,<=50K +34,Private,157446,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,45,United-States,<=50K +25,Private,109390,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,70,United-States,<=50K +33,Private,134886,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,99999,0,30,United-States,>50K +45,Private,144579,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +31,Federal-gov,203488,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,202871,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,20,United-States,<=50K +33,Private,175412,9th,5,Divorced,Craft-repair,Unmarried,White,Male,114,0,55,United-States,<=50K +44,Private,336906,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,177596,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,Puerto-Rico,>50K +30,Private,79448,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,10,United-States,<=50K +32,Local-gov,191731,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +46,?,233014,HS-grad,9,Divorced,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +29,Private,133937,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +20,Private,219211,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +35,State-gov,94529,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,247547,HS-grad,9,Separated,Prof-specialty,Other-relative,Black,Female,0,0,40,United-States,<=50K +29,Private,29361,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K +21,Private,166851,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +43,Federal-gov,197069,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Philippines,>50K +33,Private,153588,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +61,Federal-gov,151369,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +42,Private,174112,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,520033,12th,8,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +35,State-gov,194828,Some-college,10,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K +32,?,216908,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K +22,Private,126613,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +61,Private,26254,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,54042,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,2463,0,35,United-States,<=50K +24,Private,67804,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +58,Local-gov,53481,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +42,Private,412379,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,220187,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +26,?,256141,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,268222,HS-grad,9,Separated,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K +59,Private,99131,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +65,Self-emp-not-inc,115498,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,3818,0,10,United-States,<=50K +57,Private,317847,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,2824,50,United-States,>50K +36,Private,98389,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K +42,Private,173704,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1887,50,United-States,>50K +18,?,211177,12th,8,Never-married,?,Other-relative,Black,Male,0,0,20,United-States,<=50K +18,Private,115443,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,65078,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +20,Private,24896,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K +19,Private,184710,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,30,United-States,<=50K +28,Private,410450,Bachelors,13,Divorced,Other-service,Unmarried,White,Female,0,0,48,England,>50K +37,Private,83893,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,113309,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Private,160625,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,47,United-States,<=50K +17,Local-gov,340043,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K +37,Local-gov,48976,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,4865,0,45,United-States,<=50K +29,State-gov,243875,Assoc-voc,11,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,554206,HS-grad,9,Separated,Transport-moving,Not-in-family,Black,Male,0,0,20,United-States,<=50K +36,Private,361888,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,>50K +37,Self-emp-not-inc,205359,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,15,United-States,<=50K +47,State-gov,167281,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,35663,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +61,Private,357437,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,390856,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,Mexico,<=50K +33,Federal-gov,331615,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,40,United-States,>50K +54,Private,202415,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +40,Private,180032,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1669,40,United-States,<=50K +40,Private,77247,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +40,Local-gov,101795,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,42,United-States,<=50K +35,Private,272019,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2057,40,United-States,<=50K +32,Private,198068,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,199326,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +31,Private,178841,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Private,136951,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +26,Self-emp-inc,109240,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +35,Self-emp-not-inc,128876,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,103358,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,India,<=50K +43,Private,354408,12th,8,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +32,Private,206051,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,35,United-States,<=50K +45,Private,155659,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +48,Private,143299,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +31,Private,252210,5th-6th,3,Never-married,Other-service,Own-child,White,Male,0,0,40,Mexico,<=50K +20,?,129240,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K +28,Private,398918,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Self-emp-not-inc,240612,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +22,Private,429346,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,40,United-States,<=50K +19,Private,123718,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +38,Private,455379,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,63,United-States,>50K +23,Private,376416,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +24,Self-emp-inc,234663,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,282142,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +45,State-gov,208049,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +88,Private,68539,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,126501,11th,7,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,15,South,<=50K +24,Private,186452,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +84,?,127184,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +48,Private,165267,10th,6,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K +46,Private,124733,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +31,Self-emp-inc,149726,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +58,Private,41374,HS-grad,9,Widowed,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +35,Local-gov,329759,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,212433,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +36,Private,185099,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +47,Local-gov,126754,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +57,Private,122497,9th,5,Widowed,Other-service,Unmarried,Black,Male,0,0,52,?,<=50K +30,Private,118056,Some-college,10,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +30,Local-gov,200892,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +19,?,200790,12th,8,Married-civ-spouse,?,Other-relative,White,Female,15024,0,40,United-States,>50K +30,Self-emp-inc,84119,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,43,United-States,<=50K +23,Local-gov,197918,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,>50K +41,Self-emp-not-inc,150533,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +52,Private,443742,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +27,Private,104423,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,Private,169133,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +21,Private,185551,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,36,United-States,<=50K +60,Private,174486,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +69,State-gov,50468,Prof-school,15,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,34,United-States,>50K +24,Private,196943,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,120691,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,25,United-States,<=50K +60,State-gov,198815,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,Mexico,<=50K +64,Private,22186,Some-college,10,Widowed,Tech-support,Not-in-family,White,Female,0,0,35,United-States,<=50K +39,Self-emp-inc,188069,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +51,Private,233149,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +51,Private,138358,10th,6,Divorced,Craft-repair,Not-in-family,Black,Female,0,0,35,United-States,<=50K +25,Private,338013,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,?,332666,10th,6,Never-married,?,Own-child,White,Female,0,0,4,United-States,<=50K +37,Private,166339,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +74,Self-emp-not-inc,392886,HS-grad,9,Widowed,Farming-fishing,Not-in-family,White,Female,0,0,14,United-States,<=50K +26,State-gov,141838,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +23,Private,520759,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,30,United-States,<=50K +57,Self-emp-inc,37345,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,>50K +20,Private,387779,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,15,United-States,<=50K +37,Private,201531,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,123598,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,380614,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K +40,Private,83859,HS-grad,9,Widowed,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K +50,State-gov,24790,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,266820,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,35,Mexico,<=50K +44,Private,85440,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +41,Private,421837,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +30,Self-emp-not-inc,404062,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,15,United-States,>50K +38,Private,224566,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +54,Private,294991,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +40,Federal-gov,189610,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,52,United-States,<=50K +37,Private,219141,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,7688,0,40,United-States,>50K +46,Federal-gov,20956,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +38,Private,70995,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +20,Private,215232,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,10,United-States,<=50K +71,?,178295,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,3,United-States,<=50K +35,Private,56201,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +62,Private,98076,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +34,Private,351810,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Cuba,<=50K +56,Self-emp-not-inc,144351,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,90,United-States,<=50K +30,State-gov,137613,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,20,Taiwan,<=50K +17,Private,54257,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +18,Self-emp-not-inc,230373,11th,7,Never-married,Other-service,Own-child,White,Female,594,0,4,United-States,<=50K +35,Private,98389,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,184135,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,1,United-States,<=50K +46,Self-emp-not-inc,140121,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +33,Self-emp-not-inc,24504,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +27,Private,129528,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,415578,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +42,Private,97142,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,201328,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +25,Private,256620,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Federal-gov,96854,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +44,State-gov,141858,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,75,United-States,>50K +51,Federal-gov,20795,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,40,United-States,>50K +53,Private,95519,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K +47,Private,112791,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,291407,11th,7,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +32,Private,239659,Some-college,10,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,70,United-States,<=50K +28,Private,183151,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +58,?,97634,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,143807,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,186934,Masters,14,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +30,Private,170065,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,108328,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,6849,0,50,United-States,<=50K +56,State-gov,83696,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,38,?,<=50K +21,Private,204596,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +56,?,32604,Some-college,10,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +56,Private,193453,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,65,United-States,>50K +45,Private,148995,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,40,United-States,>50K +20,Private,85041,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K +62,Local-gov,140851,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +24,Private,196280,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +52,Federal-gov,38973,Bachelors,13,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,39182,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,198841,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +40,Private,694812,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,247444,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Nicaragua,<=50K +41,Private,294270,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K +59,Private,195820,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +27,Private,329426,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,37,United-States,<=50K +19,?,174871,Some-college,10,Never-married,?,Own-child,White,Male,0,0,23,United-States,<=50K +41,Private,116103,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +27,Private,206903,Bachelors,13,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,35,United-States,<=50K +50,Private,217577,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,337693,5th-6th,3,Never-married,Other-service,Own-child,White,Female,0,0,40,El-Salvador,<=50K +38,Private,204501,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +30,Private,169186,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,60,United-States,<=50K +48,Private,109421,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +39,Local-gov,267893,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,Black,Male,7298,0,40,United-States,>50K +40,Private,200479,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +27,Local-gov,221317,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +59,Self-emp-not-inc,132925,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +31,?,283531,HS-grad,9,Divorced,?,Unmarried,Black,Female,0,0,20,United-States,<=50K +34,Private,170769,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +47,Self-emp-inc,186410,Prof-school,15,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,>50K +64,Self-emp-inc,307786,1st-4th,2,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K +29,Private,380560,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +38,Local-gov,147258,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,212894,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K +49,Private,124356,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +53,Private,98791,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,216473,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +70,?,135339,Bachelors,13,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K +38,Private,107303,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,152744,Bachelors,13,Divorced,Sales,Other-relative,Asian-Pac-Islander,Female,0,0,40,South,<=50K +34,Self-emp-not-inc,100079,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,55,India,<=50K +24,Private,117779,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,10,Hungary,<=50K +23,Private,197613,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,411068,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +47,Private,192984,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +59,Private,66356,7th-8th,4,Never-married,Farming-fishing,Unmarried,White,Male,4865,0,40,United-States,<=50K +33,Federal-gov,137184,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,>50K +63,Self-emp-not-inc,231105,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,35,United-States,>50K +18,Local-gov,146586,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,60,United-States,<=50K +32,Private,32406,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +33,Private,578701,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,?,<=50K +19,Private,206777,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +27,Local-gov,133495,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,34722,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,>50K +38,Self-emp-not-inc,133299,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,24967,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,47,United-States,<=50K +35,Self-emp-not-inc,171968,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K +22,Private,412156,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +40,Private,51290,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +34,Private,198265,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,3103,0,40,United-States,>50K +23,Private,293565,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,226288,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Self-emp-inc,110445,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +34,Private,160634,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Private,174242,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,390316,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +18,Private,298860,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +65,Private,171584,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,232664,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +64,Private,63676,10th,6,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +68,Private,170376,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +56,Self-emp-not-inc,175964,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +68,Federal-gov,422013,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,3683,40,United-States,<=50K +35,Private,105813,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K +50,Federal-gov,306707,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,12,United-States,<=50K +45,Private,177543,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,28,United-States,<=50K +43,Private,320277,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,129495,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +37,Private,257042,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,1506,0,40,United-States,<=50K +45,Private,275995,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +20,?,86318,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K +36,Private,280440,Assoc-acdm,12,Never-married,Tech-support,Unmarried,White,Female,0,0,45,United-States,<=50K +26,Private,371556,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,408229,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K +47,Private,149337,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,<=50K +34,Private,209297,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,2001,40,United-States,<=50K +53,Private,355802,Some-college,10,Widowed,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +32,Private,165949,Bachelors,13,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,1590,42,United-States,<=50K +44,Self-emp-not-inc,112507,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,462869,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K +35,Private,413648,5th-6th,3,Never-married,Farming-fishing,Unmarried,White,Male,0,0,36,United-States,<=50K +34,Private,29235,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,149823,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,39530,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,4,United-States,<=50K +23,Private,197387,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,37,Mexico,<=50K +56,Local-gov,255406,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Private,43764,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +38,Private,168322,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +46,Private,278322,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +47,Private,115813,Assoc-acdm,12,Separated,Adm-clerical,Unmarried,White,Female,0,0,57,United-States,<=50K +38,Self-emp-not-inc,184456,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,3464,0,80,Italy,<=50K +42,Private,289636,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,46,United-States,<=50K +48,Private,101684,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,133425,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +40,Private,349405,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,<=50K +53,Private,124076,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,99999,0,37,United-States,>50K +75,Self-emp-not-inc,165968,Assoc-voc,11,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K +39,Private,185099,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K +46,Federal-gov,268281,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Private,154949,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +34,Private,176711,HS-grad,9,Divorced,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,165064,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,213750,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K +45,Self-emp-not-inc,77132,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K +21,Private,109667,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,162164,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +40,Private,219591,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +20,?,327462,10th,6,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +68,Private,236943,9th,5,Divorced,Farming-fishing,Not-in-family,Black,Male,0,0,20,United-States,<=50K +40,Private,89226,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +20,Private,124751,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,24,United-States,<=50K +48,Local-gov,144122,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +27,Private,98769,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +57,Federal-gov,170066,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Self-emp-inc,162439,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,98,United-States,>50K +47,Private,22900,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Local-gov,102130,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +17,?,215743,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,381583,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,45,United-States,>50K +56,Local-gov,198277,12th,8,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,243178,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,28,United-States,<=50K +38,Local-gov,177305,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,<=50K +19,Private,167149,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +24,Private,270872,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,594,0,40,?,<=50K +31,Private,382368,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,Germany,<=50K +44,Local-gov,277144,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,60,United-States,<=50K +21,State-gov,145651,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,1602,12,United-States,<=50K +41,Private,171351,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,265099,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +23,Private,105617,9th,5,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +37,Local-gov,217689,Some-college,10,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,0,0,32,United-States,<=50K +46,?,81136,Assoc-voc,11,Divorced,?,Unmarried,White,Male,0,0,30,United-States,<=50K +43,Self-emp-not-inc,73883,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,45,United-States,<=50K +31,Private,339482,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +40,Private,326232,Some-college,10,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,>50K +27,Private,106316,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,12,United-States,<=50K +64,Local-gov,198728,Some-college,10,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +31,Federal-gov,126501,Assoc-voc,11,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +48,Private,233802,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,45,United-States,<=50K +37,Self-emp-not-inc,204501,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,Canada,>50K +28,Private,208249,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,24,United-States,<=50K +42,Private,188693,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +60,Self-emp-inc,93272,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +17,Private,159299,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +21,?,303588,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +46,Private,35136,10th,6,Divorced,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K +18,Private,139576,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,252355,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,27,United-States,<=50K +44,Self-emp-not-inc,83812,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +36,Private,89718,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +65,Private,222810,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,456618,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Mexico,<=50K +21,Private,296158,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K +41,Private,162140,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,2339,40,United-States,<=50K +28,Private,36601,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +27,Private,195337,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,State-gov,282721,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,12,United-States,<=50K +40,Private,206049,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,223392,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K +40,Private,27821,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,2829,0,40,United-States,<=50K +37,Private,131827,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +33,Private,549413,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K +34,Private,69491,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +44,Local-gov,193755,Assoc-acdm,12,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,598802,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +72,Local-gov,259762,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,2290,0,10,United-States,<=50K +19,Private,266255,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +59,Private,32954,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K +40,Private,291808,HS-grad,9,Divorced,Protective-serv,Not-in-family,Black,Female,0,0,40,United-States,<=50K +35,Private,190728,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,59184,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +41,Private,196456,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +59,Private,147989,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +50,Private,195784,12th,8,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +21,Private,202214,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,10,United-States,<=50K +40,Self-emp-inc,225165,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,54825,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,188905,5th-6th,3,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Mexico,<=50K +17,Private,132636,11th,7,Never-married,Transport-moving,Own-child,White,Female,0,0,16,United-States,<=50K +42,Local-gov,228320,7th-8th,4,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,415500,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K +19,Private,254247,12th,8,Never-married,Adm-clerical,Own-child,White,Male,0,0,38,?,<=50K +43,Private,255635,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Mexico,<=50K +46,Private,96080,9th,5,Separated,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +18,?,78181,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +50,Local-gov,339547,Prof-school,15,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Laos,>50K +47,Self-emp-not-inc,126500,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +31,Private,511289,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,2907,0,99,United-States,<=50K +33,Private,159574,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +27,Private,224105,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K +59,Self-emp-not-inc,128105,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +39,Local-gov,89508,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +29,Private,370242,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,67257,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +24,Private,62952,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,111058,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,1980,40,United-States,<=50K +30,Private,29235,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,20,United-States,<=50K +52,State-gov,101119,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +51,Federal-gov,140516,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +30,Private,159888,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K +19,?,45643,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K +23,Private,166371,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,60,United-States,<=50K +37,State-gov,160910,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +25,State-gov,257064,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,38,United-States,<=50K +49,Self-emp-not-inc,181307,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,65,United-States,>50K +30,Private,83253,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +40,Private,128700,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +20,Private,243010,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Other,Male,0,0,32,United-States,<=50K +35,Self-emp-not-inc,37778,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,3103,0,55,United-States,<=50K +24,Private,132320,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K +32,Private,234755,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K +35,Private,142616,HS-grad,9,Separated,Other-service,Own-child,Black,Female,0,0,30,United-States,<=50K +20,Private,148509,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,State-gov,240738,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +25,Private,32276,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,28,United-States,<=50K +50,Local-gov,163921,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,464103,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K +49,?,271346,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,15024,0,60,United-States,>50K +30,Local-gov,327825,HS-grad,9,Divorced,Protective-serv,Own-child,White,Female,0,0,32,United-States,<=50K +37,Private,267085,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,266945,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,3137,0,40,El-Salvador,<=50K +20,Private,234663,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +49,Self-emp-not-inc,189123,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,50,United-States,<=50K +55,Private,104996,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +61,Private,101265,12th,8,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,Italy,<=50K +22,Private,184975,HS-grad,9,Married-spouse-absent,Other-service,Own-child,White,Female,0,0,3,United-States,<=50K +23,Private,246965,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,12,United-States,<=50K +43,Private,227065,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,4650,0,40,United-States,<=50K +39,Private,301867,Bachelors,13,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,24,Philippines,<=50K +21,Private,185948,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +52,Self-emp-inc,134854,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +30,Private,281030,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K +42,Private,126701,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Male,9562,0,45,United-States,>50K +50,Self-emp-not-inc,95949,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +51,Self-emp-not-inc,88528,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,99,United-States,<=50K +47,Private,24723,10th,6,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,0,0,45,United-States,<=50K +49,?,171411,9th,5,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,184581,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +48,Federal-gov,100067,Some-college,10,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +36,Private,182863,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +20,Never-worked,462294,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +61,Private,85434,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +72,Private,158092,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +19,Private,104844,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +54,Self-emp-inc,304570,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,7688,0,40,?,>50K +47,?,89806,Some-college,10,Divorced,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K +39,Private,106183,HS-grad,9,Divorced,Other-service,Unmarried,Amer-Indian-Eskimo,Female,6849,0,40,United-States,<=50K +24,Private,89347,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,157236,Some-college,10,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,0,40,Poland,<=50K +19,Private,261259,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +20,Private,286166,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K +23,Private,122272,HS-grad,9,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K +58,Private,248739,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,53,United-States,>50K +20,Private,224238,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +62,Private,138157,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,12,United-States,<=50K +25,Private,148460,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,4416,0,40,Puerto-Rico,<=50K +67,Private,236627,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,2,United-States,<=50K +37,Local-gov,191364,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,France,>50K +36,Private,353524,HS-grad,9,Divorced,Exec-managerial,Own-child,White,Female,1831,0,40,United-States,<=50K +38,Private,391040,Assoc-voc,11,Separated,Tech-support,Unmarried,White,Female,0,0,20,United-States,<=50K +23,Private,134997,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,80,United-States,<=50K +28,Private,392487,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +25,Private,216724,HS-grad,9,Divorced,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,174395,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,55,United-States,>50K +63,Private,383058,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1848,40,United-States,>50K +60,Self-emp-not-inc,96073,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +31,Self-emp-inc,103435,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +29,Self-emp-not-inc,96718,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,37,United-States,<=50K +37,Private,178948,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,45,United-States,>50K +51,Private,173987,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,34419,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +27,Private,224849,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,249857,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +34,Private,340458,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +66,Self-emp-not-inc,427422,Doctorate,16,Married-civ-spouse,Sales,Husband,White,Male,0,2377,25,United-States,>50K +19,?,440417,Some-college,10,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K +36,Private,175643,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +35,Private,297485,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,232954,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +29,Private,326330,Some-college,10,Divorced,Exec-managerial,Own-child,White,Female,1831,0,40,United-States,<=50K +25,Private,109419,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,127768,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,32,United-States,>50K +41,Private,252986,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +20,Private,380544,Assoc-acdm,12,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K +52,Private,306108,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,232855,Some-college,10,Separated,Other-service,Unmarried,Black,Female,0,0,37,United-States,<=50K +44,Private,130126,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +50,Private,194231,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,>50K +49,Self-emp-inc,197038,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +36,?,168223,Bachelors,13,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +71,State-gov,26109,Prof-school,15,Married-civ-spouse,Other-service,Husband,White,Male,0,0,28,United-States,<=50K +20,Private,285671,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,25,United-States,<=50K +20,Private,153583,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,?,<=50K +59,Self-emp-inc,103948,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +41,Private,439919,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,3411,0,40,Mexico,<=50K +38,Private,40319,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,42,United-States,<=50K +55,Local-gov,159028,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,98675,9th,5,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +45,Private,90758,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +43,Self-emp-not-inc,75435,HS-grad,9,Divorced,Craft-repair,Unmarried,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K +19,Private,219189,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +33,Private,203463,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +63,Private,187635,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Self-emp-not-inc,154641,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,8614,0,50,United-States,>50K +34,Private,27153,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,150324,Assoc-acdm,12,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +21,Private,83704,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,176262,Assoc-voc,11,Never-married,Adm-clerical,Other-relative,White,Female,0,0,36,United-States,<=50K +20,Private,179423,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,8,United-States,<=50K +45,Private,168038,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K +59,Private,108765,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +58,Private,146477,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,Greece,>50K +66,Local-gov,188220,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,>50K +37,Private,292855,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,35,United-States,>50K +29,Private,114870,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +32,State-gov,77723,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +39,Private,284166,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K +57,Private,133902,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +57,Private,191318,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +50,Self-emp-inc,67794,HS-grad,9,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +44,Self-emp-inc,357679,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,15024,0,65,United-States,>50K +56,Private,117872,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +26,Private,55929,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,48,United-States,<=50K +22,?,165065,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,Italy,<=50K +26,Self-emp-not-inc,34307,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,65,United-States,<=50K +33,Private,246038,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +36,Self-emp-not-inc,147258,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +45,Private,329144,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +56,Local-gov,52953,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,1669,38,United-States,<=50K +23,Private,216181,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,36,Iran,<=50K +23,Private,391171,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,25,United-States,<=50K +35,Local-gov,223242,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,103925,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,32,United-States,>50K +45,Private,38240,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,148444,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +56,State-gov,110257,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +31,Federal-gov,101345,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +44,Private,268098,12th,8,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,36,United-States,<=50K +21,?,369084,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,10,United-States,<=50K +31,Private,288825,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,5013,0,40,United-States,<=50K +20,Private,162688,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,38,United-States,<=50K +17,?,48751,11th,7,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K +44,Federal-gov,184099,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +19,Private,307496,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,23,United-States,<=50K +71,?,176986,HS-grad,9,Widowed,?,Unmarried,White,Male,0,0,24,United-States,<=50K +23,Private,267955,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,283969,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,Mexico,<=50K +29,State-gov,204516,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,United-States,<=50K +33,Private,167771,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +46,Private,345073,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,>50K +21,?,380219,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K +36,Self-emp-inc,306156,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K +70,Self-emp-not-inc,37203,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,9386,0,30,United-States,>50K +19,Private,185097,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,37,United-States,<=50K +29,Private,144808,Some-college,10,Married-civ-spouse,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K +34,Private,187203,Assoc-acdm,12,Never-married,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K +26,Private,125089,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,289458,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,144798,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,?,172152,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,0,0,25,Taiwan,<=50K +28,Private,207513,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,48,United-States,<=50K +24,?,164574,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +76,Private,199949,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,20051,0,50,United-States,>50K +19,Private,213024,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,213140,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,40,United-States,<=50K +24,Self-emp-not-inc,83374,Some-college,10,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,30,United-States,>50K +37,Private,192939,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +24,Private,424494,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +24,Private,215243,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K +40,Private,30682,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +20,Private,306639,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +23,Local-gov,218678,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,219130,Some-college,10,Never-married,Other-service,Not-in-family,Other,Female,0,0,40,United-States,<=50K +64,Private,180624,Assoc-acdm,12,Never-married,Prof-specialty,Other-relative,White,Female,0,0,30,United-States,<=50K +53,Local-gov,200190,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,55,United-States,>50K +28,Private,194472,Some-college,10,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +52,Local-gov,205767,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K +28,Private,249870,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,50,United-States,<=50K +31,Private,211242,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +77,Private,149912,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,10,United-States,<=50K +22,Private,85389,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +17,?,806316,11th,7,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +38,Private,329980,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K +45,?,236612,11th,7,Divorced,?,Own-child,Black,Male,0,0,40,United-States,<=50K +25,Local-gov,249214,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +50,Private,257126,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +53,Local-gov,204397,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +24,Private,291979,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,138667,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +57,Federal-gov,42298,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,15024,0,40,United-States,>50K +39,Private,375452,Prof-school,15,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,48,United-States,>50K +30,Private,94413,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,30,United-States,<=50K +31,Federal-gov,166626,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +39,State-gov,326566,Some-college,10,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K +30,Private,165503,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,65,United-States,<=50K +48,Private,102597,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,44,United-States,<=50K +62,?,113234,Masters,14,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +39,Private,177277,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +34,Private,198103,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,1980,40,United-States,<=50K +45,Private,260490,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +32,Private,237478,11th,7,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Federal-gov,36885,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +17,Private,166242,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +19,?,158603,10th,6,Never-married,?,Own-child,Black,Male,0,0,25,United-States,<=50K +25,Private,274228,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,84,United-States,<=50K +42,Private,185145,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,57,United-States,<=50K +66,Private,28367,Bachelors,13,Married-civ-spouse,Priv-house-serv,Other-relative,White,Male,0,0,99,United-States,<=50K +63,Self-emp-not-inc,28612,HS-grad,9,Widowed,Sales,Not-in-family,White,Male,0,0,70,United-States,<=50K +43,Private,191429,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K +26,Private,459548,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,20,Mexico,<=50K +23,Private,65481,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,>50K +39,Private,186130,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +47,Self-emp-inc,350759,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +36,Private,359678,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,48,United-States,<=50K +35,Private,220595,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,29599,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,State-gov,299153,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +46,Private,75256,HS-grad,9,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,40,United-States,<=50K +43,Private,143583,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +31,State-gov,207505,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,70,United-States,>50K +41,Private,308550,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,60,United-States,<=50K +50,Private,145717,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +36,Private,334366,11th,7,Separated,Exec-managerial,Not-in-family,White,Female,0,0,32,United-States,<=50K +31,?,76198,HS-grad,9,Separated,?,Own-child,White,Female,0,0,20,United-States,<=50K +45,Self-emp-not-inc,155489,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +50,Private,197322,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +52,Private,194259,7th-8th,4,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K +40,Private,346189,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +55,Private,98361,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K +64,?,178556,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,56,United-States,>50K +51,Self-emp-inc,162943,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +30,Private,19302,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +56,State-gov,67662,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,39,United-States,<=50K +35,Private,126675,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K +55,Self-emp-not-inc,278228,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +30,Private,169152,HS-grad,9,Never-married,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,204052,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,215392,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +43,Self-emp-inc,83348,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +24,Local-gov,196816,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,50,United-States,<=50K +30,Private,541343,10th,6,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +33,Local-gov,55921,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,70,United-States,<=50K +32,Private,251701,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,?,<=50K +29,Federal-gov,119848,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Private,160572,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3137,0,47,United-States,<=50K +18,Private,25837,11th,7,Never-married,Prof-specialty,Own-child,White,Male,0,0,15,United-States,<=50K +20,Private,236592,11th,7,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +45,State-gov,199326,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +22,Private,341610,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,35,?,<=50K +45,Private,175958,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +41,Private,198965,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +42,Local-gov,193537,7th-8th,4,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,35,Puerto-Rico,<=50K +24,Private,438839,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,298227,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,35,United-States,<=50K +28,Private,271466,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +23,Private,335570,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +21,Private,206891,7th-8th,4,Never-married,Farming-fishing,Own-child,White,Female,0,0,38,United-States,<=50K +23,Private,162551,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K +45,Private,145637,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K +41,Private,101290,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Federal-gov,229376,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +38,Private,439592,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +37,Private,161141,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +70,Private,304570,Bachelors,13,Widowed,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Male,0,0,32,Philippines,<=50K +24,Private,103277,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,2597,0,40,United-States,<=50K +28,Local-gov,407672,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,73928,Assoc-voc,11,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K +83,Self-emp-inc,240150,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,20051,0,50,United-States,>50K +69,Private,230417,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,China,>50K +37,Private,260093,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +28,Private,96020,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +54,Private,104421,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +71,Private,152307,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2377,45,United-States,>50K +56,State-gov,93415,HS-grad,9,Widowed,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +27,Local-gov,282664,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Other,Female,0,0,45,?,<=50K +42,Self-emp-not-inc,269733,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,99999,0,80,United-States,>50K +21,Private,202871,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,44,United-States,<=50K +29,Private,169683,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,271603,7th-8th,4,Never-married,Other-service,Not-in-family,White,Male,0,0,24,?,<=50K +32,Private,340917,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +31,Private,329874,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,43770,Some-college,10,Separated,Other-service,Not-in-family,White,Female,4650,0,72,United-States,<=50K +55,State-gov,120781,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K +48,Private,138069,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +58,Self-emp-not-inc,33309,HS-grad,9,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,80,United-States,<=50K +23,Private,76432,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,State-gov,277635,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +49,Local-gov,123088,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,46,United-States,<=50K +51,Private,57698,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,181820,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,53,United-States,<=50K +40,Self-emp-not-inc,98985,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,50,United-States,<=50K +59,Private,98350,HS-grad,9,Divorced,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,China,<=50K +47,Private,125120,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Female,0,0,50,United-States,<=50K +37,Private,243409,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,58972,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Male,1506,0,40,United-States,<=50K +43,Private,62857,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +40,Private,283174,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +48,Private,107373,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +29,Private,201155,9th,5,Never-married,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K +48,Private,187505,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +37,Private,61778,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,30,United-States,<=50K +19,Private,223648,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,4101,0,48,United-States,<=50K +28,Private,149652,10th,6,Never-married,Other-service,Own-child,Black,Female,0,0,30,United-States,<=50K +56,Private,170324,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Trinadad&Tobago,<=50K +45,Private,165937,HS-grad,9,Divorced,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K +60,State-gov,114060,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +53,State-gov,58913,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K +37,State-gov,378916,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,241885,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,224421,Assoc-voc,11,Married-AF-spouse,Farming-fishing,Husband,White,Male,0,0,44,United-States,>50K +31,?,213771,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,36,United-States,<=50K +39,Private,315565,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,Cuba,<=50K +31,Local-gov,153005,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +42,Private,98211,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K +17,Private,198606,11th,7,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,16,United-States,<=50K +19,Private,260333,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +24,Private,219510,Bachelors,13,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,32,United-States,<=50K +62,Private,266624,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,6418,0,40,United-States,>50K +34,Private,136862,1st-4th,2,Never-married,Other-service,Other-relative,White,Female,0,0,40,Guatemala,<=50K +47,Self-emp-inc,215620,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K +58,Private,187067,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,62,Canada,<=50K +23,Private,325921,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K +33,Private,268127,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +76,Private,142535,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Male,0,0,6,United-States,<=50K +40,Private,177083,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +28,Private,77009,7th-8th,4,Divorced,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K +41,Private,306405,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K +46,Local-gov,303918,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,96,United-States,>50K +22,Federal-gov,262819,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,49087,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,53833,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +31,Private,1033222,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,8614,0,40,United-States,>50K +22,Private,81145,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +41,Private,215479,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,43,United-States,<=50K +29,Private,113464,HS-grad,9,Never-married,Transport-moving,Other-relative,Other,Male,0,0,40,Dominican-Republic,<=50K +60,Private,109530,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,United-States,>50K +72,Federal-gov,217864,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +41,Self-emp-inc,117721,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K +19,Private,199484,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +25,Private,248851,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,116968,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +59,Private,366618,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +17,Private,240143,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K +59,?,424468,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +69,?,320280,Some-college,10,Never-married,?,Not-in-family,White,Male,1848,0,1,United-States,<=50K +25,Private,120238,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,2885,0,43,United-States,<=50K +50,?,194186,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K +29,Private,247053,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,180599,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +29,Local-gov,190330,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +29,State-gov,199450,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Male,0,0,40,United-States,<=50K +32,Local-gov,199539,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +17,?,94366,10th,6,Never-married,?,Other-relative,White,Male,0,0,6,United-States,<=50K +50,Self-emp-not-inc,29231,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +43,Private,33126,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +41,Private,102085,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,212064,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +54,State-gov,166774,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K +65,Private,95303,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +18,?,379768,HS-grad,9,Never-married,?,Own-child,Other,Female,0,0,40,United-States,<=50K +70,Self-emp-inc,247383,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +53,Private,229465,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +37,Private,135436,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K +21,Private,180052,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K +20,Private,214387,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +47,State-gov,149337,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,0,0,38,United-States,<=50K +26,Private,208326,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3942,0,45,United-States,<=50K +31,Private,34374,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +45,Self-emp-not-inc,58683,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,403037,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +55,Private,32365,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +49,Private,155489,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +33,Self-emp-inc,289886,HS-grad,9,Never-married,Other-service,Unmarried,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +30,Federal-gov,54684,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,?,<=50K +19,Private,101549,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +48,Self-emp-inc,51579,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +41,Private,40151,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K +29,Private,244721,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,35,United-States,>50K +47,Local-gov,228372,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K +53,Local-gov,236873,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +19,Private,250249,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +71,Private,93202,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,16,United-States,<=50K +29,Private,176723,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K +43,Local-gov,175526,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,91842,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K +52,Private,71768,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Private,181220,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +28,Private,204516,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,89172,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,<=50K +37,Federal-gov,143547,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,310889,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +31,Local-gov,150324,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,216472,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +64,Private,212838,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K +45,Private,168283,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,187702,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +19,Private,60661,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,52,United-States,<=50K +54,Private,115284,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,45,United-States,>50K +61,Self-emp-inc,98350,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K +18,Private,195372,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +62,?,81578,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +33,Private,111567,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Private,244572,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,0,0,37,United-States,<=50K +54,Private,230919,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,282604,Some-college,10,Married-civ-spouse,Protective-serv,Other-relative,White,Male,0,0,24,United-States,<=50K +54,Private,320196,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,Germany,<=50K +42,Private,201466,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +51,Federal-gov,254211,Masters,14,Widowed,Sales,Unmarried,White,Male,0,0,50,El-Salvador,>50K +41,Private,599629,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,>50K +47,Local-gov,219632,Assoc-acdm,12,Separated,Exec-managerial,Not-in-family,White,Male,0,1408,40,United-States,<=50K +31,State-gov,161631,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +21,Private,202373,Assoc-voc,11,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +52,Private,169549,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +20,Private,127185,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K +18,Private,184277,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +58,Private,119751,HS-grad,9,Married-civ-spouse,Priv-house-serv,Other-relative,Asian-Pac-Islander,Female,0,0,60,Philippines,<=50K +23,Private,294701,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +21,Private,26842,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +43,State-gov,114537,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,126386,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,163787,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +44,Private,98211,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +31,Private,175509,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +48,Private,159854,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +55,Self-emp-inc,120920,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +24,Private,187551,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K +41,State-gov,27305,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +35,Private,216711,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +47,Local-gov,218596,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +54,Private,280292,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,32,United-States,<=50K +40,Private,200496,Bachelors,13,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Self-emp-not-inc,78090,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K +23,Private,118693,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Self-emp-not-inc,203488,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +27,Local-gov,172091,HS-grad,9,Never-married,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K +32,Private,113364,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +72,Self-emp-not-inc,139889,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,74,United-States,<=50K +43,Local-gov,301638,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1579,40,United-States,<=50K +32,Private,110279,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,35,United-States,<=50K +53,Private,242859,Some-college,10,Separated,Adm-clerical,Own-child,White,Male,0,0,40,Cuba,<=50K +18,Private,132986,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K +38,Private,254439,10th,6,Widowed,Transport-moving,Unmarried,Black,Male,114,0,40,United-States,<=50K +41,Federal-gov,187462,Assoc-voc,11,Divorced,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +29,Private,264961,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K +70,?,148065,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,4,United-States,>50K +46,Self-emp-inc,200949,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,50,?,<=50K +47,Private,47247,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +56,Local-gov,571017,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,15,United-States,<=50K +28,Private,416577,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,2829,0,40,United-States,<=50K +55,State-gov,296991,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +50,State-gov,45961,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,6849,0,40,United-States,<=50K +47,Private,302711,11th,7,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Self-emp-inc,50356,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,199336,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,25,United-States,<=50K +42,Private,341178,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,44,Mexico,<=50K +42,Federal-gov,70240,Some-college,10,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +46,Private,229394,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,390368,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,15024,0,99,United-States,>50K +55,Private,82098,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,55,United-States,<=50K +57,Private,170411,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +25,Private,109532,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,142682,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,Dominican-Republic,<=50K +34,Self-emp-inc,127651,Bachelors,13,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K +27,Local-gov,236472,Bachelors,13,Divorced,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K +25,Private,176047,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,2176,0,40,United-States,<=50K +37,Private,111499,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,425199,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,45,United-States,<=50K +38,Private,229009,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K +17,Private,232713,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,594,0,30,United-States,<=50K +70,Private,141742,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,9386,0,50,United-States,>50K +37,Private,234807,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,37,United-States,<=50K +45,Private,738812,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K +56,Private,204816,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +64,Private,342494,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +35,Local-gov,226311,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K +23,Private,143062,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +42,Local-gov,125155,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,90,United-States,<=50K +23,Private,329925,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +26,?,208994,Some-college,10,Never-married,?,Own-child,White,Male,0,0,12,United-States,<=50K +56,Local-gov,212864,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +41,Private,214242,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +47,Self-emp-not-inc,191175,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,2179,50,Mexico,<=50K +21,Private,118693,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,253593,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +32,State-gov,206051,Some-college,10,Married-spouse-absent,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K +72,Private,497280,9th,5,Widowed,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K +69,Self-emp-not-inc,240562,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K +19,Private,140985,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,25,United-States,<=50K +25,Local-gov,191921,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,25,United-States,<=50K +56,Private,204049,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1848,50,United-States,>50K +42,Private,331651,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,8614,0,50,United-States,>50K +58,Private,142158,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,35,United-States,<=50K +24,Private,249046,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,213019,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,38,United-States,>50K +40,Private,199599,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +37,Private,186191,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,?,<=50K +25,Private,28008,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Self-emp-inc,82488,Bachelors,13,Married-civ-spouse,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K +36,Private,117073,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,325786,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,37546,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,204226,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,133299,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,29702,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,307812,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +25,Private,174545,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,46,United-States,<=50K +23,Private,233472,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,184147,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,20,United-States,<=50K +27,Private,198188,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,2580,0,45,United-States,<=50K +32,Private,447066,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,15024,0,50,United-States,>50K +33,Private,200246,Some-college,10,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,166585,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +21,Private,335570,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,?,<=50K +39,Private,53569,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,167065,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +32,Private,113364,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K +40,Federal-gov,219266,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +58,Federal-gov,200042,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +20,Private,205975,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +63,?,234083,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,2205,40,United-States,<=50K +56,Private,65325,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +30,Local-gov,194740,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,99065,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,39,United-States,<=50K +25,Private,212793,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +33,Private,112941,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +41,State-gov,187322,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,283676,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,173682,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,168470,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,186454,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,13550,0,40,United-States,>50K +58,Private,141807,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Italy,<=50K +25,Private,245628,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,15,Mexico,<=50K +31,Private,264864,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +39,Private,262841,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +55,Private,37438,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +22,Private,170800,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K +44,Private,152150,Assoc-acdm,12,Separated,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,?,211873,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,1628,5,?,<=50K +44,Private,159580,12th,8,Divorced,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K +61,Private,477209,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,54,United-States,<=50K +32,Private,70985,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,241998,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +28,Private,249541,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,135339,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +32,Private,44675,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K +46,State-gov,247992,7th-8th,4,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +26,Self-emp-not-inc,221626,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,1579,20,United-States,<=50K +43,Self-emp-inc,48087,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +62,Local-gov,114045,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +60,State-gov,69251,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,38,China,>50K +67,Private,192670,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +19,Private,268392,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,30,United-States,<=50K +55,?,170994,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,431513,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,>50K +19,State-gov,37332,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +19,Private,35865,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +43,Private,183891,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,150309,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,90,United-States,<=50K +65,Private,93318,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,<=50K +32,Private,171814,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,State-gov,183735,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +41,Private,353541,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +33,Local-gov,152351,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,3908,0,40,United-States,<=50K +72,?,271352,10th,6,Divorced,?,Not-in-family,White,Male,0,0,12,United-States,<=50K +34,Private,345705,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,50,United-States,>50K +27,Private,223751,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +75,Self-emp-inc,164570,11th,7,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +39,?,281363,10th,6,Widowed,?,Unmarried,White,Female,0,0,15,United-States,<=50K +51,Private,110747,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K +47,Private,34458,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,254293,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,270147,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +48,Private,195491,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +36,Local-gov,255454,Bachelors,13,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K +18,Private,126125,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +33,Private,618191,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,163110,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,145409,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,48,United-States,>50K +39,State-gov,235379,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,55465,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +67,Local-gov,181220,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,20,United-States,<=50K +42,Private,26672,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +59,Private,98361,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,Local-gov,219883,HS-grad,9,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K +19,Private,376683,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,2036,0,30,United-States,<=50K +47,Private,33865,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,48,United-States,<=50K +68,Private,168794,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +30,Private,94245,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,34572,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,60,United-States,<=50K +49,Private,348751,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,65382,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +60,Private,116707,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K +51,Private,178054,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,?,>50K +24,Private,140001,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,166889,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Female,0,1602,35,United-States,<=50K +24,Private,117789,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +21,Private,238917,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +48,Local-gov,242923,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,1848,40,United-States,>50K +52,Local-gov,330799,9th,5,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +48,Private,209460,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Federal-gov,75313,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,66,United-States,>50K +29,?,339100,11th,7,Divorced,?,Not-in-family,White,Female,3418,0,48,United-States,<=50K +20,Private,184779,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,20,United-States,<=50K +31,Private,139000,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K +30,Private,361742,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,260782,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,?,<=50K +51,Private,203435,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,100579,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Self-emp-not-inc,356067,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,16,United-States,<=50K +46,Private,87250,Bachelors,13,Separated,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,264663,Some-college,10,Separated,Prof-specialty,Own-child,White,Female,0,3900,40,United-States,<=50K +29,Private,255817,5th-6th,3,Never-married,Other-service,Other-relative,White,Female,0,0,40,El-Salvador,<=50K +48,Self-emp-not-inc,243631,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,30,South,<=50K +34,Self-emp-inc,544268,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +42,Self-emp-not-inc,98061,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +25,Private,95691,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,30,Columbia,<=50K +47,Private,145868,11th,7,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,65038,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +43,Local-gov,227734,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,22,United-States,<=50K +19,Local-gov,176831,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,35,United-States,<=50K +22,Private,211678,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +40,Local-gov,157240,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,70,United-States,<=50K +41,Self-emp-not-inc,145441,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Yugoslavia,<=50K +71,Self-emp-inc,66624,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2392,60,United-States,>50K +42,Private,76487,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +31,State-gov,557853,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,47,United-States,<=50K +69,?,262352,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K +58,Self-emp-not-inc,118253,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +36,Private,146625,11th,7,Widowed,Other-service,Unmarried,Black,Female,0,0,12,United-States,<=50K +31,Private,174201,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K +20,?,66695,Some-college,10,Never-married,?,Own-child,Other,Female,594,0,35,United-States,<=50K +41,Private,121130,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,385847,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +62,?,83439,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,114158,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K +27,Private,381789,12th,8,Married-civ-spouse,Farming-fishing,Own-child,White,Male,0,0,55,United-States,<=50K +17,Private,82041,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,Canada,<=50K +35,Self-emp-not-inc,115618,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +45,Self-emp-not-inc,106110,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,99,United-States,<=50K +44,Private,267521,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,90692,Assoc-voc,11,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +51,Private,57101,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,236913,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K +64,Self-emp-not-inc,388625,10th,6,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,10,United-States,>50K +54,Self-emp-not-inc,261207,7th-8th,4,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,Cuba,<=50K +43,Private,245487,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K +32,Private,262153,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K +36,Private,225516,Assoc-acdm,12,Never-married,Sales,Not-in-family,Black,Male,10520,0,43,United-States,>50K +26,Self-emp-not-inc,68729,HS-grad,9,Never-married,Sales,Other-relative,Asian-Pac-Islander,Male,0,0,50,United-States,>50K +37,Private,126954,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +38,Private,85074,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Private,383306,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,128143,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,50,United-States,>50K +47,Private,185041,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +42,Private,99373,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +66,Local-gov,157942,HS-grad,9,Widowed,Transport-moving,Not-in-family,Black,Female,0,0,40,United-States,<=50K +43,Private,241928,HS-grad,9,Separated,Adm-clerical,Not-in-family,Black,Female,0,0,32,United-States,<=50K +37,Private,348739,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +37,Private,95654,10th,6,Divorced,Exec-managerial,Unmarried,White,Female,0,0,35,United-States,<=50K +25,Private,367306,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,270421,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +63,?,221592,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +50,Self-emp-not-inc,156951,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,40,United-States,>50K +42,State-gov,39239,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,<=50K +32,Private,72744,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +42,State-gov,367292,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +41,Self-emp-not-inc,408498,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +25,Private,361493,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,3325,0,40,United-States,<=50K +65,Self-emp-inc,157403,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,231263,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,244147,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,10,United-States,<=50K +24,Private,220944,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +51,Federal-gov,314007,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +67,?,200862,10th,6,Never-married,?,Not-in-family,Black,Female,0,0,35,United-States,<=50K +28,Private,33374,11th,7,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +32,Self-emp-inc,345489,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +77,Private,83601,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,162302,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +26,Private,112847,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,147344,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +57,State-gov,183657,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,35,United-States,>50K +40,Private,130760,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +50,Private,163948,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +19,Private,316797,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,45,Mexico,<=50K +54,Federal-gov,332243,12th,8,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +51,Local-gov,195844,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +51,Local-gov,387250,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +38,State-gov,188303,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,40,United-States,>50K +68,?,40956,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K +17,Private,178953,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +32,Private,398988,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,535978,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +42,Private,296982,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K +40,Private,231991,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,295799,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,State-gov,201569,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K +58,Private,193568,11th,7,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +61,Private,97128,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +42,Private,203393,Bachelors,13,Married-civ-spouse,Craft-repair,Wife,Black,Female,0,0,35,United-States,>50K +49,Private,138370,Masters,14,Married-spouse-absent,Protective-serv,Not-in-family,Asian-Pac-Islander,Male,0,0,40,India,<=50K +41,Self-emp-inc,120277,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,<=50K +43,Private,91949,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +46,Private,228372,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,40,United-States,>50K +28,Private,132191,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +39,Self-emp-not-inc,274683,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K +50,Local-gov,196307,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +57,Private,195835,Some-college,10,Married-spouse-absent,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,185399,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,38,United-States,<=50K +79,Self-emp-not-inc,103684,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,140559,HS-grad,9,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,45,United-States,<=50K +35,Federal-gov,110188,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +35,Local-gov,668319,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1740,80,United-States,<=50K +30,Private,112358,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,>50K +26,Private,151810,10th,6,Never-married,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K +49,Private,48120,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Female,1506,0,40,United-States,<=50K +48,Private,144844,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,205839,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K +22,Private,113760,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +50,Private,138358,10th,6,Separated,Adm-clerical,Not-in-family,Black,Female,0,0,47,Jamaica,<=50K +47,Self-emp-not-inc,216657,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +36,Private,278576,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +44,Private,174373,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +73,Private,220019,9th,5,Widowed,Other-service,Unmarried,White,Female,0,0,9,United-States,<=50K +24,?,311949,HS-grad,9,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,45,?,<=50K +34,Private,303867,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +37,Private,154210,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Hong,<=50K +28,?,131310,12th,8,Married-civ-spouse,?,Wife,White,Female,0,0,20,Germany,<=50K +46,Private,202560,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +20,?,358783,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +29,Private,423024,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +24,Private,206671,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,State-gov,245310,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +18,Private,31983,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +41,Private,124956,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,90,United-States,>50K +59,Private,118358,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +27,Private,491421,5th-6th,3,Never-married,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K +50,Private,151580,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +25,Private,248990,1st-4th,2,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,24,Mexico,<=50K +42,Private,157425,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +36,Private,221650,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Japan,<=50K +62,Private,88055,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,>50K +71,Private,216608,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,682947,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K +44,Private,228124,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +19,?,217194,10th,6,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +49,Self-emp-not-inc,171540,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +60,Self-emp-inc,210827,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +28,Self-emp-not-inc,410351,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Poland,<=50K +26,Private,163747,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,55,United-States,<=50K +18,Private,108892,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K +43,Private,180096,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +65,Local-gov,153890,12th,8,Widowed,Exec-managerial,Not-in-family,White,Male,2009,0,44,United-States,<=50K +23,Private,117480,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,44,United-States,<=50K +21,Private,163333,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +20,Self-emp-not-inc,306710,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,150553,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,18,Philippines,<=50K +77,Private,123959,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K +32,Private,24961,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +37,Local-gov,327120,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K +29,Self-emp-not-inc,33798,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +59,Private,81929,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,45,United-States,>50K +22,Private,298489,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +30,?,101697,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K +31,Private,144064,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +59,Self-emp-not-inc,195835,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +29,Federal-gov,184723,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,>50K +56,Private,265086,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +19,Private,235909,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +37,Private,42645,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +58,State-gov,279878,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +41,Private,104892,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +29,Private,137063,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,38,United-States,<=50K +38,Self-emp-not-inc,58972,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,126675,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +19,Private,286435,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,594,0,40,United-States,<=50K +46,Private,191389,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,28,United-States,>50K +42,Private,183241,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +29,Private,91547,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,52781,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +29,Private,210959,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,365516,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,112271,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Private,269455,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +46,Private,164379,Bachelors,13,Divorced,Sales,Unmarried,Black,Female,0,0,35,United-States,>50K +28,Private,109621,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,104858,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,56,United-States,>50K +39,Private,99270,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +44,Private,193524,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +70,?,149040,HS-grad,9,Widowed,?,Not-in-family,White,Female,2964,0,12,United-States,<=50K +60,State-gov,313946,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,162358,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +59,Private,200700,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,48,United-States,>50K +21,Private,116489,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,60,United-States,<=50K +22,Private,118310,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Female,0,0,16,United-States,<=50K +31,Private,352465,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +40,Private,107433,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +33,Private,296538,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +41,Local-gov,195897,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +31,Self-emp-not-inc,216283,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,>50K +62,Private,345780,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,216685,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,<=50K +28,Local-gov,210945,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,60,United-States,<=50K +43,Private,184321,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,1887,40,United-States,>50K +55,Self-emp-not-inc,322691,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,3103,0,55,United-States,>50K +42,Private,192712,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +23,Private,178272,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Federal-gov,321333,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +44,Self-emp-inc,120277,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,45,United-States,>50K +19,Private,294029,11th,7,Never-married,Sales,Own-child,Other,Female,0,0,32,Nicaragua,<=50K +23,Private,112819,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,152636,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,50,United-States,<=50K +63,?,301611,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +51,Private,134808,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Private,64216,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,90,United-States,<=50K +29,State-gov,214284,Masters,14,Never-married,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,20,Taiwan,<=50K +25,Private,469572,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,8614,0,40,United-States,>50K +44,Self-emp-not-inc,282722,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K +17,Private,231439,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +42,Self-emp-inc,120277,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +21,Private,364685,11th,7,Never-married,Tech-support,Own-child,White,Female,0,0,35,United-States,<=50K +26,Private,18827,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,169129,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,202051,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K +58,?,353244,Bachelors,13,Widowed,?,Unmarried,White,Female,27828,0,50,United-States,>50K +19,Private,574271,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,28,United-States,<=50K +65,State-gov,29276,7th-8th,4,Widowed,Other-service,Other-relative,White,Female,0,0,24,United-States,<=50K +52,Self-emp-not-inc,104501,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,>50K +17,Private,394176,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +27,Private,85625,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,22,United-States,<=50K +53,Private,340723,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,149342,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,73715,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +34,Private,143083,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,18,United-States,<=50K +40,Local-gov,290660,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,8614,0,50,United-States,>50K +49,Local-gov,98738,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +86,Private,149912,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Private,309033,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,60,United-States,>50K +43,Self-emp-not-inc,96129,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K +47,Private,216096,Some-college,10,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,35,Puerto-Rico,<=50K +32,Private,171091,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +30,Self-emp-not-inc,79303,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +25,Local-gov,182380,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,36271,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +60,Private,118197,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K +46,Private,269652,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,38,United-States,>50K +39,Local-gov,193815,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +28,Private,141957,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,1887,70,United-States,>50K +26,Private,222637,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,55,Puerto-Rico,<=50K +27,Private,118230,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +59,Private,174040,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +64,State-gov,105748,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +90,Self-emp-not-inc,82628,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,2964,0,12,United-States,<=50K +51,Private,205100,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,45,United-States,>50K +36,Private,107916,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2002,40,United-States,<=50K +39,Private,130620,7th-8th,4,Married-spouse-absent,Machine-op-inspct,Unmarried,Other,Female,0,0,40,Dominican-Republic,<=50K +30,?,361817,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +47,Self-emp-not-inc,235646,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +32,Private,53277,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +24,Private,456460,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +23,Private,293091,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +62,Private,210935,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +48,?,199763,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K +62,?,223447,12th,8,Divorced,?,Not-in-family,White,Male,0,0,40,Canada,<=50K +35,Self-emp-not-inc,233533,Bachelors,13,Separated,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K +27,Private,95647,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +49,Private,199763,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,35,United-States,<=50K +18,Private,74539,10th,6,Never-married,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K +19,Private,84610,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +63,Self-emp-inc,96930,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +54,Private,115602,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K +24,Private,237341,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +61,Private,143800,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +50,Self-emp-inc,163921,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K +36,Private,68273,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +21,Private,113163,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K +38,Self-emp-inc,478829,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K +30,Private,345705,Some-college,10,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,<=50K +22,Private,385077,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,2907,0,40,United-States,<=50K +33,Private,192286,Some-college,10,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,52,United-States,<=50K +39,Local-gov,236391,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,>50K +42,Private,106679,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +47,?,308242,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +42,Local-gov,46094,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,33,United-States,<=50K +29,Private,194940,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,341643,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K +23,Private,210474,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +28,Private,76313,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K +34,Private,115858,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +40,Private,55191,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +67,Self-emp-not-inc,364862,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +49,Private,334787,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,205733,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +60,?,120163,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,333677,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,2463,0,35,United-States,<=50K +25,Private,208591,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,341204,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,1831,0,30,United-States,<=50K +56,Self-emp-not-inc,115422,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +35,Self-emp-inc,111319,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,1887,45,United-States,>50K +54,Private,816750,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,40,United-States,<=50K +25,Private,167835,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,3325,0,40,United-States,<=50K +28,Private,92262,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,91964,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,107682,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +52,State-gov,135388,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K +39,Self-emp-not-inc,597843,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,Columbia,<=50K +19,Private,389942,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,442274,12th,8,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +23,Private,595461,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +52,Private,284329,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +33,Self-emp-not-inc,127894,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +35,Private,196899,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,Asian-Pac-Islander,Female,0,0,50,Haiti,<=50K +58,Private,212534,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,71209,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +39,Private,237943,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,70,United-States,>50K +38,Private,190759,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,100313,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K +41,Private,344624,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +27,?,194024,9th,5,Separated,?,Unmarried,White,Female,0,0,50,United-States,<=50K +19,Private,87497,11th,7,Never-married,Transport-moving,Other-relative,White,Male,0,0,10,United-States,<=50K +22,Private,236907,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +59,Private,169639,Assoc-acdm,12,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,105803,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,45,United-States,>50K +31,Private,149507,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K +18,Private,294387,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,161708,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +28,Private,282389,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +28,Private,64940,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +49,Private,195727,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +38,Local-gov,37931,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +19,Private,170720,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +43,Private,152958,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +28,Private,312372,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,15024,0,40,United-States,>50K +41,Private,39581,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,24,El-Salvador,<=50K +50,Private,206862,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +46,Private,216934,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,Portugal,<=50K +20,Private,143062,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,242391,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +28,Private,165030,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +37,Private,199251,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +46,Self-emp-not-inc,353012,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K +66,Private,174491,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +35,?,333305,Some-college,10,Married-civ-spouse,?,Own-child,White,Female,0,0,40,United-States,<=50K +38,Private,203138,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,50,United-States,>50K +25,Private,220220,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K +55,Federal-gov,305850,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +48,Local-gov,273402,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,40,United-States,<=50K +56,Private,201344,Some-college,10,Widowed,Craft-repair,Unmarried,White,Female,0,0,38,United-States,<=50K +47,Self-emp-not-inc,218676,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +55,Self-emp-not-inc,141807,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +41,State-gov,222434,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,266860,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K +40,Private,34113,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Male,6849,0,43,United-States,<=50K +41,Private,159549,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,195248,Some-college,10,Never-married,Sales,Own-child,Other,Female,0,0,20,United-States,<=50K +52,Private,109413,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +62,Private,195343,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Male,15020,0,50,United-States,>50K +46,Private,185291,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,>50K +21,?,140012,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +35,Self-emp-not-inc,114366,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,169631,HS-grad,9,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +21,Private,163870,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,3908,0,40,United-States,<=50K +35,Private,312232,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +46,Private,229737,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,India,>50K +70,?,306563,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,161637,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1902,40,Taiwan,>50K +34,Private,106014,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +21,Private,25265,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,30,United-States,<=50K +29,Private,71860,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +41,Self-emp-inc,94113,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +51,Self-emp-not-inc,208003,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,113550,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +47,Private,83046,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Self-emp-inc,277488,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,65,United-States,>50K +19,Private,205830,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,El-Salvador,<=50K +46,Private,273575,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,40,United-States,>50K +23,Private,245147,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +49,Private,274720,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +58,Self-emp-not-inc,163047,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,State-gov,47902,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +50,Private,128798,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +77,Private,154205,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,10,United-States,<=50K +27,Private,176683,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K +29,Self-emp-inc,104737,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +54,Private,349340,Preschool,1,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K +39,State-gov,218249,Some-college,10,Separated,Prof-specialty,Unmarried,Black,Female,0,0,37,United-States,<=50K +32,Private,281540,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K +36,Federal-gov,112847,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +24,Local-gov,126613,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K +50,Self-emp-not-inc,145419,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,7688,0,45,United-States,>50K +32,Self-emp-not-inc,34572,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,65,United-States,<=50K +26,Private,104045,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,?,57665,Bachelors,13,Divorced,?,Own-child,White,Female,0,0,40,United-States,<=50K +38,Private,359001,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,<=50K +47,Private,105273,Bachelors,13,Widowed,Craft-repair,Unmarried,Black,Female,6497,0,40,United-States,<=50K +31,Private,201122,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,Private,160035,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +50,Private,167886,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +18,Private,32059,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +59,Self-emp-inc,200453,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +56,Self-emp-not-inc,403072,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +34,Private,37210,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K +32,Private,199416,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,413227,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +29,?,188675,Some-college,10,Divorced,?,Own-child,Black,Male,0,0,40,United-States,<=50K +42,Private,226902,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +37,Private,195189,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +36,Private,116608,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +59,Private,99131,Masters,14,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +32,Private,553405,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,50,United-States,>50K +52,Local-gov,186117,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,>50K +29,State-gov,67053,HS-grad,9,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Thailand,<=50K +39,Private,347960,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,14084,0,35,United-States,>50K +39,Private,325374,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +69,Private,130413,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Female,2346,0,15,United-States,<=50K +43,Private,111949,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K +39,Private,278557,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1628,48,United-States,<=50K +19,Private,194905,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +60,Local-gov,195453,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +51,Private,282549,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,3137,0,40,United-States,<=50K +75,Private,316119,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,8,United-States,<=50K +37,State-gov,252939,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,Black,Female,5455,0,40,United-States,<=50K +24,State-gov,506329,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,40,?,<=50K +20,Private,316043,11th,7,Never-married,Other-service,Own-child,Black,Male,594,0,20,United-States,<=50K +58,Federal-gov,319733,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K +21,State-gov,99199,Masters,14,Never-married,Transport-moving,Own-child,White,Male,0,0,15,United-States,<=50K +28,Private,204600,HS-grad,9,Separated,Protective-serv,Other-relative,White,Male,0,0,40,United-States,<=50K +40,Private,173307,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,34446,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +40,Self-emp-not-inc,237293,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,40,United-States,>50K +41,Private,175642,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Private,203735,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Local-gov,171589,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +26,Private,197967,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K +29,Private,413297,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,45,Mexico,<=50K +45,Private,240841,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,152189,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,State-gov,85874,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Self-emp-not-inc,176814,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +51,Local-gov,133336,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +22,Private,362623,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +67,?,37170,7th-8th,4,Divorced,?,Not-in-family,White,Male,0,0,3,United-States,<=50K +28,Private,30912,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,35448,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +33,Private,173248,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,35,United-States,<=50K +37,Private,49626,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,43,United-States,<=50K +19,Private,102723,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +90,?,166343,1st-4th,2,Widowed,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +35,Private,168322,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,131117,7th-8th,4,Divorced,Tech-support,Unmarried,White,Female,0,0,38,Columbia,<=50K +20,?,210474,Some-college,10,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K +25,Private,110138,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,107452,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +32,Private,160594,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +32,Local-gov,186784,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,5013,0,45,United-States,<=50K +70,Local-gov,334666,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,12,United-States,<=50K +65,?,191380,10th,6,Married-civ-spouse,?,Husband,White,Male,9386,0,50,United-States,>50K +57,Private,104272,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,19491,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,128715,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +34,Private,128063,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K +26,Self-emp-not-inc,37023,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,78,United-States,<=50K +44,Private,68748,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +66,Private,140576,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Local-gov,327435,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,202729,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +53,Private,277471,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +36,Private,189670,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,50,United-States,<=50K +61,Private,204908,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,171841,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +38,Private,78247,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,68895,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,Mexico,<=50K +27,Private,56658,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Amer-Indian-Eskimo,Male,0,0,8,United-States,<=50K +58,Local-gov,259216,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,State-gov,270278,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,12,Puerto-Rico,<=50K +56,Private,238806,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,26,United-States,<=50K +36,Private,111128,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K +29,Private,119429,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +28,Private,73037,10th,6,Never-married,Transport-moving,Unmarried,White,Male,0,0,30,United-States,<=50K +61,Self-emp-not-inc,84409,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +66,Self-emp-not-inc,274451,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,>50K +31,Private,246439,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,7298,0,50,United-States,>50K +21,Private,124242,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +67,Self-emp-not-inc,123393,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,6418,0,58,United-States,>50K +26,Private,159732,HS-grad,9,Widowed,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,161415,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +33,Private,157568,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,168030,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K +59,State-gov,349910,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,10605,0,50,United-States,>50K +82,Self-emp-inc,130329,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +34,State-gov,56964,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +29,Private,370509,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,France,>50K +19,Private,106306,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +57,Self-emp-not-inc,56480,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,1,United-States,<=50K +41,Private,115932,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K +55,Private,154580,10th,6,Married-civ-spouse,Other-service,Husband,Black,Male,2580,0,40,United-States,<=50K +27,Private,404421,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +33,Private,194901,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +43,State-gov,164790,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,50,United-States,>50K +72,Federal-gov,94242,Some-college,10,Widowed,Tech-support,Not-in-family,White,Female,0,0,16,United-States,<=50K +68,Self-emp-not-inc,365020,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,160512,HS-grad,9,Separated,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +41,Private,170331,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +30,Private,101266,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,100252,Bachelors,13,Divorced,Other-service,Not-in-family,Asian-Pac-Islander,Male,99999,0,70,United-States,>50K +54,Private,217718,5th-6th,3,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,30,Haiti,<=50K +32,Private,170154,Assoc-acdm,12,Separated,Exec-managerial,Unmarried,White,Female,25236,0,50,United-States,>50K +56,Private,105281,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,1974,40,United-States,<=50K +39,?,361838,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,6,United-States,>50K +41,State-gov,283917,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +48,Private,39530,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +66,Self-emp-not-inc,212185,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,United-States,<=50K +25,Self-emp-inc,90752,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +31,Private,202450,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1573,40,United-States,<=50K +32,Private,168138,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,2597,0,48,United-States,<=50K +51,Private,159755,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +42,Private,191765,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Female,0,2339,40,Trinadad&Tobago,<=50K +22,?,210802,Some-college,10,Never-married,?,Not-in-family,Black,Female,0,0,35,United-States,<=50K +31,Private,340880,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +43,Self-emp-not-inc,113211,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +42,Private,134509,Some-college,10,Never-married,Transport-moving,Unmarried,Black,Female,0,0,40,United-States,<=50K +20,State-gov,147280,HS-grad,9,Never-married,Other-service,Other-relative,Other,Male,0,0,40,United-States,<=50K +40,Private,145441,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +65,Private,398001,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +53,Private,31588,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,52,United-States,>50K +56,Private,189975,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,60,United-States,>50K +51,State-gov,231495,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,United-States,>50K +38,?,121135,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,186916,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +49,Self-emp-inc,213140,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,United-States,>50K +47,Private,176893,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,8614,0,44,United-States,>50K +22,Private,115244,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +53,Private,313243,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,2444,45,United-States,>50K +41,Local-gov,169995,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,20,United-States,<=50K +19,Private,198459,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,2001,40,United-States,<=50K +27,Local-gov,66824,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,3325,0,43,United-States,<=50K +48,Self-emp-not-inc,52240,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,>50K +52,Private,35305,7th-8th,4,Never-married,Other-service,Own-child,White,Female,0,0,7,United-States,<=50K +61,State-gov,186451,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +45,Self-emp-not-inc,160724,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,45,China,>50K +29,Private,210464,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,207685,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,21,United-States,<=50K +38,Private,233717,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Male,0,0,60,United-States,<=50K +32,Private,222205,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +37,Private,167613,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,148773,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +62,Local-gov,68268,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,174533,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,273230,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +25,Private,187502,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,24,United-States,<=50K +47,Private,209320,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Self-emp-not-inc,56841,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +55,Private,254627,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,42703,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Private,374137,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,196385,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,192930,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,10,United-States,<=50K +39,Private,99527,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +45,Private,185437,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Female,0,0,55,United-States,<=50K +43,Private,247162,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +32,Federal-gov,131534,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +18,Private,184693,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,Mexico,<=50K +27,Private,704108,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,220262,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,95654,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,60,United-States,<=50K +67,Private,89346,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +26,Private,94392,11th,7,Separated,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +21,Private,334113,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +17,Private,32763,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +31,Private,136651,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +51,Self-emp-not-inc,240236,Assoc-acdm,12,Separated,Sales,Not-in-family,Black,Male,0,0,30,United-States,<=50K +29,Private,53271,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +28,Private,31493,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,>50K +32,Private,195891,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +31,Local-gov,209103,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,3464,0,45,United-States,<=50K +26,Private,211424,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +28,Local-gov,84657,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,151408,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Private,106819,7th-8th,4,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,19,United-States,<=50K +62,Private,132917,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,20,United-States,<=50K +54,Private,146834,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K +55,Private,164332,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,16,United-States,<=50K +24,Private,30656,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,20,United-States,<=50K +27,Private,113501,Masters,14,Never-married,Adm-clerical,Own-child,White,Male,0,0,45,United-States,<=50K +18,Private,165316,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K +22,Private,233955,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,14344,0,40,United-States,>50K +21,Private,126613,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Self-emp-not-inc,361280,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,80,Philippines,>50K +50,?,123044,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,>50K +38,Private,165472,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +39,Private,99452,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +27,Private,84977,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,240458,11th,7,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +51,Private,230858,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,60,United-States,>50K +60,Private,123218,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +62,?,191118,Some-college,10,Married-civ-spouse,?,Husband,White,Male,7298,0,40,United-States,>50K +38,Private,115289,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,373895,Some-college,10,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,35,United-States,<=50K +43,Private,152617,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +49,State-gov,72619,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K +17,Private,41865,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +32,Private,190228,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K +23,Private,193090,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K +28,Private,138692,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +83,Self-emp-inc,153183,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2392,55,United-States,>50K +25,Private,181896,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +42,Private,268183,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,60,United-States,<=50K +46,Local-gov,213668,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,99369,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Other,Female,0,0,50,United-States,<=50K +44,Private,104196,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +60,Self-emp-not-inc,176839,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +30,Local-gov,99502,Assoc-voc,11,Divorced,Protective-serv,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +24,Private,183410,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,17,United-States,<=50K +17,Private,25690,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +76,?,201986,11th,7,Widowed,?,Other-relative,White,Female,0,0,16,United-States,<=50K +31,Private,188961,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +52,Private,114971,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Private,121468,Bachelors,13,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Female,0,0,35,United-States,<=50K +73,Self-emp-inc,191540,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +38,Private,146398,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,24,United-States,<=50K +48,Private,193553,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,20,United-States,<=50K +60,Private,121127,10th,6,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,389856,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,290504,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K +54,State-gov,137065,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +50,Local-gov,212685,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +20,Private,71475,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +23,Private,111450,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,22,United-States,<=50K +35,Private,225860,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +43,Private,129853,10th,6,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +50,Private,99925,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,32,United-States,<=50K +58,Private,227800,1st-4th,2,Separated,Farming-fishing,Not-in-family,Black,Male,0,0,50,United-States,<=50K +55,State-gov,111130,Assoc-acdm,12,Divorced,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +29,Private,100764,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +47,Private,275095,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,147500,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,<=50K +63,Local-gov,150079,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K +27,Private,140863,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +62,?,199198,11th,7,Divorced,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +38,Private,193372,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,196771,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,65,United-States,<=50K +31,Private,231826,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,52,Mexico,<=50K +40,Federal-gov,196456,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +42,Private,34037,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +52,Private,174964,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +46,Private,91608,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +31,Private,403468,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,50,Mexico,<=50K +33,Private,112900,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +58,Private,242670,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +52,Local-gov,187830,HS-grad,9,Divorced,Tech-support,Unmarried,White,Male,4934,0,36,United-States,>50K +25,Self-emp-not-inc,368115,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,13550,0,35,United-States,>50K +54,Private,343242,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +46,Private,113390,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1740,60,United-States,<=50K +28,Private,200733,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Self-emp-not-inc,236769,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,22494,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +60,Federal-gov,129379,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,239098,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,167501,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,77146,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +47,Private,82797,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +33,Self-emp-not-inc,134886,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +40,Self-emp-inc,218558,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +38,Private,207568,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K +26,Private,196899,Assoc-acdm,12,Separated,Craft-repair,Not-in-family,Other,Female,0,0,40,United-States,<=50K +54,Self-emp-not-inc,200960,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +39,Private,188069,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,<=50K +60,Private,232337,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,98656,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,State-gov,194260,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +49,?,481987,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K +31,Private,234976,11th,7,Never-married,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K +29,Private,349116,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K +39,Private,175390,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +42,Private,187720,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,?,>50K +26,Private,214637,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +27,Private,185127,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +52,Private,98752,9th,5,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +50,Local-gov,218382,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +51,Private,153486,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +51,Federal-gov,174102,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +40,Private,137142,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +61,Private,241013,7th-8th,4,Widowed,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K +35,Private,267798,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +41,?,152880,HS-grad,9,Divorced,?,Not-in-family,Black,Female,0,0,28,United-States,<=50K +31,Private,263561,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +43,Private,113324,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K +20,Private,39764,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,172186,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,460408,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1672,45,United-States,<=50K +42,Self-emp-not-inc,185129,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +51,Private,61270,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +39,Self-emp-inc,124685,Masters,14,Divorced,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,99,Japan,>50K +69,Self-emp-not-inc,76968,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K +63,?,310396,9th,5,Married-civ-spouse,?,Husband,White,Male,5178,0,40,United-States,>50K +29,Federal-gov,37933,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,2174,0,40,United-States,<=50K +21,Private,38772,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +24,Private,172496,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,55,United-States,<=50K +55,Private,306164,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,33795,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +48,Private,47686,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +31,Private,193132,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,42,United-States,<=50K +52,Private,400004,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +30,Private,101283,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,192384,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,113838,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,278322,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +56,Private,199713,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,236021,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,138938,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K +36,Private,126946,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,44791,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,31964,9th,5,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +60,State-gov,352156,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +70,Self-emp-not-inc,205860,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K +21,Private,113106,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +57,Private,89182,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,250782,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +37,Private,193855,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,50,United-States,<=50K +50,Self-emp-not-inc,132716,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K +68,Private,218637,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,2377,55,United-States,>50K +28,Private,177955,11th,7,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Mexico,<=50K +32,Private,198660,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,207937,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,10520,0,50,United-States,>50K +18,Private,168740,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +45,Private,199625,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,20,United-States,<=50K +22,Private,213902,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K +38,Private,208379,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,8,United-States,<=50K +37,Private,113120,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,57827,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,Private,515712,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Self-emp-inc,54190,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +53,Self-emp-inc,134793,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +18,Private,396270,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K +30,Private,231620,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,Mexico,<=50K +50,Private,174655,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +63,?,97823,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,344480,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4064,0,40,United-States,<=50K +48,Private,176732,9th,5,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +60,Private,143932,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,551962,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,50,Peru,<=50K +30,?,298577,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +39,Private,257942,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +55,Local-gov,253062,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +17,Private,193748,11th,7,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +46,Private,368561,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +50,Private,192964,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,65,United-States,<=50K +32,Private,217304,Bachelors,13,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,30,United-States,<=50K +18,Private,120029,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,62124,HS-grad,9,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +50,Private,94885,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +32,Private,192565,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +23,Local-gov,220912,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +26,Private,184120,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +46,Private,140782,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +43,Self-emp-inc,170785,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +32,Private,90705,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +37,State-gov,108293,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K +48,Private,168283,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +28,Private,339372,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,1408,40,United-States,<=50K +43,Private,193672,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +51,Local-gov,143865,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K +30,Private,209317,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,Dominican-Republic,<=50K +34,State-gov,204461,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +34,Private,137088,HS-grad,9,Married-civ-spouse,Craft-repair,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +41,Private,149102,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +53,Private,182855,10th,6,Divorced,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K +42,Private,572751,Preschool,1,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Nicaragua,<=50K +18,Private,83451,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +81,Private,98116,Bachelors,13,Widowed,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +40,Private,119225,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,134888,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,35,United-States,<=50K +20,Private,745817,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,15,United-States,<=50K +41,Private,88368,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +49,State-gov,122066,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +22,Private,363219,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +46,Private,84402,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +56,Private,34626,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,1980,40,United-States,<=50K +35,Private,150042,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +34,Private,48014,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +29,Local-gov,177398,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +28,Private,373698,12th,8,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,?,<=50K +35,Private,422933,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,37,United-States,<=50K +29,Private,131088,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,178255,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,Columbia,<=50K +52,Self-emp-not-inc,129311,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,95,United-States,>50K +45,Private,473171,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,236985,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +35,?,226379,HS-grad,9,Married-civ-spouse,?,Other-relative,White,Female,0,0,25,United-States,<=50K +21,?,277700,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +35,Private,207568,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,85708,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,98765,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,Canada,<=50K +29,Private,192283,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,20,United-States,<=50K +29,State-gov,271012,10th,6,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +33,Private,189265,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,321880,10th,6,Never-married,Other-service,Own-child,Black,Male,0,0,15,United-States,<=50K +52,Private,177465,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K +24,Private,127647,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +32,State-gov,119033,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +40,Private,289748,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,4650,0,48,United-States,<=50K +32,Private,209317,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Male,0,0,40,?,<=50K +33,Private,284531,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,251120,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K +28,Private,113870,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +62,Without-pay,170114,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +46,Local-gov,121124,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,15024,0,40,United-States,>50K +32,Private,328199,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,0,64,United-States,<=50K +26,Private,206307,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +41,Self-emp-inc,236021,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +57,Federal-gov,170603,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +52,Private,74275,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,45,United-States,>50K +35,Self-emp-not-inc,112271,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +19,Private,118306,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K +49,Private,126754,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K +47,Private,267205,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,?,>50K +38,Private,205359,11th,7,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,32,United-States,<=50K +30,Private,398662,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,202498,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Columbia,<=50K +32,Private,105650,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K +46,Private,191204,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,56582,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +47,Local-gov,51579,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K +57,Self-emp-not-inc,152030,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,25,United-States,>50K +47,Private,227310,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +41,Private,55854,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,56,United-States,>50K +36,Local-gov,28996,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,160634,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +37,Private,222450,11th,7,Married-spouse-absent,Other-service,Other-relative,White,Male,0,0,40,El-Salvador,<=50K +36,Self-emp-inc,180419,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +64,Private,116084,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2635,0,40,United-States,<=50K +17,Private,202521,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +23,Private,186014,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +40,Private,88368,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,914,0,40,United-States,<=50K +42,State-gov,190044,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +37,Self-emp-not-inc,35330,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,42,United-States,<=50K +35,Federal-gov,84848,Some-college,10,Never-married,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +56,Self-emp-not-inc,176280,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K +52,Private,145271,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +37,Local-gov,108320,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +48,State-gov,106377,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K +24,Private,258730,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,40,Japan,<=50K +33,Private,58305,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,341672,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +34,Private,176648,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,42,United-States,<=50K +24,?,32616,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,481175,Some-college,10,Never-married,Exec-managerial,Own-child,Other,Male,0,0,24,Peru,<=50K +49,Private,187454,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,99999,0,65,United-States,>50K +18,Private,25837,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K +20,Private,385077,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +54,Private,68985,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +19,Private,181572,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +53,Private,23698,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,>50K +34,?,268127,12th,8,Separated,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +28,Private,162298,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,144608,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,250630,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +31,Private,150441,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +37,Private,189251,Doctorate,16,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +64,Private,260082,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Columbia,<=50K +42,Private,139126,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +27,Private,50132,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +36,Self-emp-not-inc,167691,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K +36,Private,77820,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +23,Private,156513,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +46,Private,248059,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3464,0,40,United-States,<=50K +24,Private,283092,11th,7,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,35,Jamaica,<=50K +22,Private,175883,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +62,Private,232308,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +19,Private,269991,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,Puerto-Rico,<=50K +20,Private,305446,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +47,Private,120781,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,15024,0,40,?,>50K +57,Private,78707,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +19,Private,351802,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,35,United-States,<=50K +37,Local-gov,196529,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +35,Self-emp-inc,175769,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K +17,Private,153021,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +36,Local-gov,331902,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +50,Private,279461,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +35,Private,145704,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,3942,0,35,United-States,<=50K +27,State-gov,205499,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,77,United-States,<=50K +28,Private,293926,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,30,United-States,<=50K +29,Self-emp-not-inc,69132,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,99999,0,60,United-States,>50K +25,Private,113099,HS-grad,9,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +47,Self-emp-inc,206947,Assoc-acdm,12,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,67,United-States,<=50K +29,State-gov,159782,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +19,Private,410543,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Private,34446,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,209101,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,>50K +43,Federal-gov,95902,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,<=50K +56,Self-emp-not-inc,214323,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,236323,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Federal-gov,201127,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,56,United-States,>50K +40,Private,142886,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,77313,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +17,?,212125,10th,6,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +36,Private,187098,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,196857,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +53,Local-gov,155314,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +72,Self-emp-not-inc,203289,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +46,Private,117059,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K +33,Private,178587,Some-college,10,Separated,Prof-specialty,Unmarried,White,Female,0,0,37,United-States,<=50K +22,Private,82393,9th,5,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +17,?,145258,11th,7,Never-married,?,Other-relative,White,Female,0,0,25,United-States,<=50K +41,Private,185145,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,?,>50K +46,Private,72896,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,<=50K +33,Private,134886,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +32,Private,223212,Preschool,1,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +52,Self-emp-not-inc,174752,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,230563,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +48,State-gov,353824,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,>50K +22,Private,117363,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +25,Private,285367,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K +60,?,139391,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,42,United-States,<=50K +38,Private,198170,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,38948,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +49,Private,188515,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Self-emp-not-inc,177810,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +48,Private,188432,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,46,United-States,>50K +31,Private,178506,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +40,Self-emp-not-inc,129298,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K +25,Private,165315,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,37,United-States,<=50K +68,Private,117236,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,45,United-States,>50K +18,?,172214,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,20,United-States,<=50K +19,Private,63434,12th,8,Never-married,Farming-fishing,Own-child,White,Female,0,0,30,United-States,<=50K +35,Self-emp-inc,140854,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +28,Private,133043,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K +53,Private,113176,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,2597,0,40,United-States,<=50K +33,Private,259301,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,41,United-States,<=50K +20,Private,196643,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,364365,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +36,Private,269318,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +34,Private,108454,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +32,Private,171637,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +19,Private,183589,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,25,United-States,<=50K +24,Private,107801,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,179877,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +32,Private,168981,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,<=50K +37,Private,120590,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +31,Private,310773,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,40,Mexico,<=50K +21,Private,197050,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +47,Private,159726,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,85,United-States,>50K +23,Private,210797,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,55291,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +60,?,141221,Bachelors,13,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,2163,25,South,<=50K +17,Private,276718,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +67,Private,336163,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,24,United-States,<=50K +57,Private,112840,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +17,Private,165918,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,Peru,<=50K +53,Private,165745,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Self-emp-not-inc,259299,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,50,United-States,>50K +24,State-gov,197731,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,49,United-States,>50K +48,Self-emp-not-inc,197702,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,162238,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,47,United-States,>50K +38,Private,213260,HS-grad,9,Separated,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K +51,Private,53833,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,46,United-States,>50K +18,Private,89419,HS-grad,9,Never-married,Tech-support,Own-child,White,Female,0,0,10,United-States,<=50K +23,Private,119704,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,433170,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +34,Private,182714,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,35,?,<=50K +39,Private,172538,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +20,?,220115,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,12,United-States,<=50K +39,Private,158956,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +21,Self-emp-not-inc,25631,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,476558,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +54,Federal-gov,35576,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,203463,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,State-gov,317647,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +59,Self-emp-not-inc,170411,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +24,?,174182,11th,7,Married-civ-spouse,?,Wife,Other,Female,0,0,24,United-States,<=50K +54,Private,220055,Bachelors,13,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +54,Private,231482,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +67,Private,335979,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,991,0,18,United-States,<=50K +33,Private,279173,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +37,Private,89559,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +47,Private,161950,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,25,Germany,<=50K +51,Private,131068,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,219632,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,175507,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +58,Self-emp-inc,182062,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,24,United-States,>50K +27,Private,287476,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,3325,0,40,United-States,<=50K +36,Private,206253,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,1617,40,United-States,<=50K +20,?,189203,Assoc-acdm,12,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Private,21698,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Self-emp-not-inc,328051,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +32,Private,356689,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,3887,0,40,United-States,<=50K +59,Private,121865,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +45,Self-emp-not-inc,420986,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +43,?,218558,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,288992,10th,6,Divorced,Prof-specialty,Unmarried,White,Male,14344,0,68,United-States,>50K +20,?,189740,Some-college,10,Never-married,?,Own-child,White,Female,0,0,32,United-States,<=50K +29,Local-gov,188909,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,42,United-States,<=50K +28,Private,213081,11th,7,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,Jamaica,<=50K +18,Self-emp-not-inc,157131,11th,7,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +49,Private,98010,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +46,Private,207677,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +58,?,361870,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,30,United-States,<=50K +56,Private,266091,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Mexico,<=50K +41,Private,106627,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,50,United-States,<=50K +50,Self-emp-inc,167793,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,60,United-States,>50K +74,Self-emp-not-inc,206682,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1648,35,United-States,<=50K +30,Private,243165,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,201928,HS-grad,9,Widowed,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K +19,Private,128346,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,197288,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +20,?,169184,Some-college,10,Never-married,?,Other-relative,Black,Female,0,0,40,United-States,<=50K +36,Private,245521,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,Mexico,<=50K +36,Private,129591,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Local-gov,47415,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1628,30,United-States,<=50K +37,Self-emp-not-inc,188563,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,50,United-States,>50K +29,Self-emp-not-inc,184710,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,63734,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +18,Private,111256,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +40,Self-emp-inc,111483,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +26,Self-emp-inc,266639,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Self-emp-not-inc,93853,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +32,Private,184207,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,238002,9th,5,Married-civ-spouse,Transport-moving,Other-relative,White,Male,0,0,40,Mexico,<=50K +28,?,30237,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,196545,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1902,40,United-States,>50K +47,Private,144844,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,280500,Some-college,10,Never-married,Tech-support,Own-child,Black,Female,0,0,40,United-States,<=50K +73,?,135601,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K +37,Private,409189,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,Mexico,<=50K +50,Private,23686,Some-college,10,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,>50K +19,Private,229756,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K +32,Local-gov,95530,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +44,Local-gov,73199,Assoc-voc,11,Divorced,Tech-support,Unmarried,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +20,Private,196745,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +29,Private,79481,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,?,116934,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,100950,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,Germany,<=50K +44,Local-gov,56651,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,United-States,<=50K +18,Private,186954,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +22,Private,264874,Some-college,10,Never-married,Tech-support,Other-relative,White,Female,0,0,40,United-States,<=50K +39,State-gov,183092,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +26,Local-gov,273399,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,Peru,<=50K +29,?,142443,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K +21,Private,177526,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +49,Local-gov,31267,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,321666,Assoc-acdm,12,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,20,United-States,<=50K +26,Private,331861,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,?,<=50K +25,Private,283515,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,60,United-States,<=50K +30,Private,54608,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,162238,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +30,Private,175931,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,236804,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,168782,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,227065,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +46,Self-emp-inc,285335,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +31,Private,259705,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Female,0,0,40,United-States,<=50K +57,Private,24384,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,10,United-States,<=50K +58,Private,322013,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,49797,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,52566,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,266275,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +72,Self-emp-not-inc,285408,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2246,28,United-States,>50K +26,Self-emp-not-inc,177858,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,1876,38,United-States,<=50K +45,Federal-gov,183804,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +48,Private,107231,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K +23,Private,173679,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Local-gov,163965,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +18,Private,173585,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,15,Peru,<=50K +27,Private,172009,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,44363,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,35,United-States,<=50K +45,Private,246392,HS-grad,9,Never-married,Priv-house-serv,Unmarried,Black,Female,0,0,30,United-States,<=50K +53,Private,167033,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +54,Private,143822,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +41,Private,37869,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K +23,Private,447488,9th,5,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,35,Mexico,<=50K +17,Private,239346,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,18,United-States,<=50K +42,Private,245975,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,34632,12th,8,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,121362,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,2258,38,United-States,>50K +21,State-gov,24008,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +44,Private,165492,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +48,Private,326048,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Male,0,0,44,United-States,<=50K +46,Private,250821,Prof-school,15,Divorced,Farming-fishing,Unmarried,White,Male,0,0,48,United-States,<=50K +37,Self-emp-not-inc,154641,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,86,United-States,<=50K +35,Private,198202,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,54,United-States,<=50K +27,Local-gov,170504,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,191342,Some-college,10,Never-married,Sales,Not-in-family,Other,Male,0,0,40,India,<=50K +19,Private,238969,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K +63,Self-emp-not-inc,344128,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +69,?,148694,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +69,?,180187,Assoc-acdm,12,Widowed,?,Not-in-family,White,Female,0,0,6,Italy,<=50K +36,State-gov,168894,Assoc-voc,11,Married-spouse-absent,Protective-serv,Own-child,White,Female,0,0,40,Germany,<=50K +20,Private,203263,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +28,State-gov,89564,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K +58,Private,97562,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,38,United-States,<=50K +48,Private,336540,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,139647,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,56,United-States,<=50K +38,Private,160192,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,44,United-States,<=50K +50,Local-gov,320386,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,32126,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Self-emp-not-inc,275445,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K +38,Self-emp-inc,54953,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K +54,Private,103580,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,>50K +42,Private,245565,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,12,England,<=50K +32,Private,39223,10th,6,Separated,Craft-repair,Unmarried,Black,Female,0,0,40,?,<=50K +55,State-gov,117357,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,70,?,>50K +63,Private,207385,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +21,Private,355287,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,48,Mexico,<=50K +62,?,141218,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K +46,Local-gov,207677,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +43,Private,102114,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +35,Self-emp-not-inc,60269,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +37,Private,278632,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,355551,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Female,0,0,45,Mexico,<=50K +45,Private,246891,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,72,Canada,>50K +19,Private,124486,12th,8,Never-married,Other-service,Own-child,White,Male,0,1602,20,United-States,<=50K +61,?,202106,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,1902,40,United-States,>50K +61,Private,191417,9th,5,Widowed,Exec-managerial,Not-in-family,Black,Male,0,0,65,United-States,<=50K +21,Private,184543,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,122206,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,229015,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +28,Private,130067,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +40,Local-gov,306495,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +32,Private,232855,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +55,Local-gov,171328,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K +64,Private,144182,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,23,United-States,<=50K +34,Private,102858,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +19,?,199495,Some-college,10,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K +58,Private,209438,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +46,Private,74895,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,55,United-States,<=50K +44,Private,184378,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,446512,Some-college,10,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Federal-gov,113688,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Private,333305,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,45,United-States,>50K +19,Private,118535,12th,8,Never-married,Sales,Own-child,White,Female,0,0,18,United-States,<=50K +56,Private,76142,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +53,Local-gov,38795,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +68,Private,208478,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,18,?,<=50K +69,Private,203313,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,991,0,18,United-States,<=50K +62,Private,247483,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +62,State-gov,198686,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,56118,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Federal-gov,359808,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,231554,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,50,United-States,<=50K +33,Private,34848,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,199934,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,7298,0,40,United-States,>50K +29,Private,196243,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +65,Self-emp-inc,66360,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,6418,0,35,United-States,>50K +18,Private,189487,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +22,Private,194848,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,167309,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,40,United-States,>50K +44,Private,192878,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +48,Private,70209,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,20,United-States,<=50K +52,Federal-gov,123011,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +53,Self-emp-not-inc,135339,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,7688,0,20,China,>50K +48,Federal-gov,497486,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,1471,0,40,United-States,<=50K +25,Private,178478,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +41,Private,149909,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K +37,Private,103323,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +55,Private,239404,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,45,United-States,<=50K +67,Private,165082,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +36,Private,389725,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +47,Private,374580,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,52,United-States,<=50K +36,?,187983,HS-grad,9,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,259300,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,16,United-States,<=50K +19,Private,277695,9th,5,Never-married,Farming-fishing,Other-relative,White,Male,0,0,16,Mexico,<=50K +24,Private,230248,7th-8th,4,Separated,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +30,Self-emp-not-inc,196342,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K +17,Private,160968,11th,7,Never-married,Adm-clerical,Own-child,White,Male,0,0,16,United-States,<=50K +28,Private,115438,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,231043,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,3908,0,45,United-States,<=50K +35,Private,129597,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,46,United-States,<=50K +24,Local-gov,387108,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K +43,Private,105936,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K +20,Private,107242,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,?,<=50K +55,Private,125000,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,>50K +22,Private,229456,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,35,United-States,<=50K +20,Private,230113,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K +44,Private,106698,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,133454,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,295520,9th,5,Widowed,Sales,Unmarried,Black,Female,0,0,25,United-States,<=50K +26,Private,151551,Some-college,10,Separated,Sales,Own-child,Amer-Indian-Eskimo,Male,2597,0,48,United-States,<=50K +58,Private,100313,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,40,United-States,>50K +23,Private,320294,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,162381,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,183898,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,2354,0,40,United-States,<=50K +41,Self-emp-inc,32016,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,62,United-States,<=50K +31,Private,117028,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,280278,HS-grad,9,Widowed,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +57,Private,342906,9th,5,Married-civ-spouse,Sales,Husband,Black,Male,0,0,55,United-States,>50K +25,Private,181598,11th,7,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,224059,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,148549,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +34,Private,97355,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K +37,Private,154571,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K +43,Self-emp-inc,140988,Bachelors,13,Married-civ-spouse,Sales,Other-relative,Asian-Pac-Islander,Male,0,0,45,India,<=50K +20,Private,148409,Some-college,10,Never-married,Sales,Other-relative,White,Male,1055,0,20,United-States,<=50K +40,Local-gov,150755,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,75,United-States,>50K +27,Private,87006,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1579,40,United-States,<=50K +35,Private,112158,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,121488,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,State-gov,283635,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,69758,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +40,Private,199900,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,55,United-States,>50K +54,Private,88019,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K +28,Private,31935,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,323055,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,189498,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +52,Private,89041,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,112507,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +19,Private,236940,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,278514,HS-grad,9,Divorced,Craft-repair,Own-child,White,Female,0,0,42,United-States,<=50K +21,?,433330,Some-college,10,Never-married,?,Unmarried,White,Male,0,0,40,United-States,<=50K +25,Private,258379,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,32,United-States,<=50K +44,Private,162028,11th,7,Divorced,Sales,Unmarried,White,Female,0,0,44,United-States,<=50K +20,Private,197997,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,98350,10th,6,Married-spouse-absent,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,37,China,<=50K +39,Private,165848,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +34,Private,178615,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,228939,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +27,Private,210498,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K +53,Private,154891,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,165937,Assoc-voc,11,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +23,?,138768,Bachelors,13,Never-married,?,Own-child,White,Male,2907,0,40,United-States,<=50K +39,Private,160120,Some-college,10,Never-married,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +30,Private,382368,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,123011,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +33,Private,119033,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,496856,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +44,Private,194049,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K +30,Private,299223,Some-college,10,Divorced,Sales,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +66,Private,174788,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +39,Private,176101,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,38948,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +34,Private,271933,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,United-States,<=50K +17,Private,122041,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +43,Private,115932,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K +46,Private,265105,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +17,Private,100828,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K +60,Private,121319,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3137,0,40,Poland,<=50K +63,Private,308028,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,5013,0,40,United-States,<=50K +42,Private,213214,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,348618,9th,5,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K +33,Private,275632,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,239161,Some-college,10,Married-civ-spouse,Sales,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +20,Private,215495,9th,5,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,Mexico,<=50K +30,Private,214063,Some-college,10,Never-married,Farming-fishing,Other-relative,Black,Male,0,0,72,United-States,<=50K +37,Private,122493,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +33,?,211699,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Self-emp-not-inc,175622,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +65,Private,153522,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,17,United-States,<=50K +35,Private,258339,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +27,Private,119793,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,133503,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1977,45,United-States,>50K +18,Private,162840,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +41,Local-gov,67671,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,188888,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1340,40,United-States,<=50K +45,Private,140644,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +18,?,126154,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,245659,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,38,El-Salvador,<=50K +28,Private,129624,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,?,<=50K +47,Private,104068,HS-grad,9,Divorced,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +30,Private,337908,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,20,United-States,<=50K +36,Private,161141,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,162228,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +44,Private,116391,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,314310,HS-grad,9,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K +61,?,394534,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,6,United-States,<=50K +29,Private,308136,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,194698,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +18,?,67793,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,60,United-States,<=50K +29,Local-gov,302422,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,1564,56,United-States,>50K +27,Private,289147,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +21,Private,229826,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,20,United-States,<=50K +22,?,154235,Some-college,10,Married-civ-spouse,?,Wife,White,Female,3781,0,35,United-States,<=50K +49,Self-emp-inc,246739,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +35,Private,188041,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +47,Private,187440,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K +37,Local-gov,105266,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,249208,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K +26,Private,203492,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,?,71076,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +55,Federal-gov,146477,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +47,Private,201699,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,5178,0,50,United-States,>50K +59,Private,205949,HS-grad,9,Separated,Craft-repair,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +70,Private,90245,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,5,United-States,<=50K +53,Federal-gov,177647,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,France,>50K +39,Private,126494,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,257735,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,1161363,Some-college,10,Separated,Tech-support,Unmarried,White,Female,0,0,50,Columbia,<=50K +19,?,257343,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,221452,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +74,Private,260669,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,1,United-States,<=50K +40,Private,192344,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +35,Private,80479,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,108808,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +41,Private,175674,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +38,Private,272950,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +29,Self-emp-not-inc,160786,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K +46,Self-emp-not-inc,122206,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +46,Private,121168,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,209547,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +29,Federal-gov,244473,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +39,Private,176296,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,60,United-States,<=50K +31,Private,91666,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,60,United-States,<=50K +50,Local-gov,191025,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,4650,0,70,United-States,<=50K +31,State-gov,63704,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,31659,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +27,Private,191230,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,25,United-States,<=50K +28,Private,56340,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +21,Private,221157,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,30,United-States,<=50K +57,Local-gov,143910,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Local-gov,435836,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,?,61499,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,209182,Preschool,1,Separated,Other-service,Unmarried,White,Female,0,0,40,El-Salvador,<=50K +36,Self-emp-inc,107218,Some-college,10,Divorced,Sales,Unmarried,Asian-Pac-Islander,Male,0,0,55,United-States,<=50K +51,Private,55500,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +39,Local-gov,357962,Assoc-acdm,12,Never-married,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,<=50K +43,Private,200355,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K +38,Private,320451,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K +51,Local-gov,184542,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +43,State-gov,206927,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,54310,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +35,Private,208165,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +40,Private,146908,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +39,Private,318416,10th,6,Separated,Other-service,Own-child,Black,Female,0,0,12,United-States,<=50K +47,Self-emp-inc,207540,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K +23,Private,69911,Preschool,1,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +26,Private,305304,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +25,Local-gov,295289,HS-grad,9,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K +29,Private,275110,Some-college,10,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,42,United-States,<=50K +30,Private,339773,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K +57,State-gov,399246,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,1485,40,China,<=50K +37,Self-emp-inc,51264,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +39,Private,49020,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,3103,0,48,United-States,>50K +37,Private,178100,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +45,?,215943,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,176178,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K +25,State-gov,180884,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +61,State-gov,130466,HS-grad,9,Widowed,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +59,Private,328525,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,2414,0,15,United-States,<=50K +28,Private,142712,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,176321,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Private,145041,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Cuba,>50K +29,Private,95423,HS-grad,9,Married-AF-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,<=50K +49,Self-emp-not-inc,215096,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +41,Local-gov,177599,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K +33,Private,123920,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +20,?,201490,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,46990,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,20,United-States,>50K +32,Private,388672,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,16,United-States,<=50K +48,Private,149210,Bachelors,13,Divorced,Sales,Not-in-family,Black,Male,0,0,40,United-States,>50K +24,Private,134787,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +50,Private,185407,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,>50K +31,State-gov,86143,HS-grad,9,Never-married,Protective-serv,Other-relative,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +23,Private,41721,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +35,Private,195744,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +50,Local-gov,96062,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,215150,9th,5,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K +52,Private,270728,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,48,Cuba,<=50K +44,Private,75012,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K +43,Private,206139,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +39,Private,50700,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,224258,7th-8th,4,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Mexico,>50K +31,Private,240441,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,1564,40,United-States,>50K +40,Self-emp-not-inc,406811,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +28,Local-gov,34452,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,361341,12th,8,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,25,Thailand,<=50K +35,Private,78247,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +44,Private,106900,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +40,Self-emp-not-inc,165108,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,England,<=50K +20,Private,406641,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +55,Private,171467,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Male,0,0,48,United-States,>50K +30,Private,341187,7th-8th,4,Separated,Transport-moving,Not-in-family,White,Male,0,0,35,United-States,<=50K +38,Private,119177,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +75,Private,104896,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,2653,0,20,United-States,<=50K +17,Private,342752,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +79,?,76641,Masters,14,Married-civ-spouse,?,Husband,White,Male,20051,0,40,Poland,>50K +20,Private,47541,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +25,Private,233461,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,30,United-States,<=50K +27,Private,303954,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +19,Private,163015,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +21,Private,75763,Some-college,10,Married-civ-spouse,Sales,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +19,Private,43003,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +42,Private,328239,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,130856,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K +47,Self-emp-not-inc,190072,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Iran,>50K +59,Private,170148,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K +50,Private,104501,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +48,Self-emp-inc,213140,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,<=50K +33,Local-gov,175509,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,173611,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,148995,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,99999,0,30,United-States,>50K +24,Private,64520,7th-8th,4,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,139822,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +24,Private,258700,5th-6th,3,Never-married,Farming-fishing,Other-relative,Black,Male,0,0,40,Mexico,<=50K +29,Private,34796,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,124963,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,United-States,<=50K +24,Private,65743,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +28,Private,161087,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,45,Jamaica,<=50K +63,?,424591,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +36,Federal-gov,203836,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +58,State-gov,110199,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,316059,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,36,United-States,<=50K +42,Private,255667,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +39,Private,193689,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,60722,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +39,Private,187847,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,233275,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +51,Private,215404,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,15024,0,40,United-States,>50K +45,Private,201865,Bachelors,13,Married-spouse-absent,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +45,Private,118889,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,State-gov,368739,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,123833,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,1408,40,United-States,<=50K +38,Private,171344,11th,7,Married-spouse-absent,Transport-moving,Own-child,White,Male,0,0,36,Mexico,<=50K +39,Private,153976,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,374883,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +17,Private,167658,12th,8,Never-married,Sales,Own-child,White,Female,0,0,6,United-States,<=50K +31,Private,348504,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +22,Private,258509,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,24,United-States,<=50K +47,State-gov,108890,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,1831,0,38,United-States,<=50K +28,Private,188236,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,?,355571,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +41,Private,425049,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +29,Private,142555,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,42,United-States,<=50K +42,Self-emp-not-inc,29320,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,0,0,60,United-States,>50K +52,Federal-gov,207841,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,187329,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,270973,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +46,Private,197332,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,46,United-States,>50K +21,?,175166,Some-college,10,Never-married,?,Own-child,White,Female,2176,0,40,United-States,<=50K +45,Local-gov,160187,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +21,Private,197918,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +74,Private,192290,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,20,United-States,<=50K +29,Private,241895,HS-grad,9,Married-civ-spouse,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K +39,Local-gov,164515,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,147206,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,45,United-States,>50K +23,Self-emp-inc,306868,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Local-gov,169837,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +61,?,124648,10th,6,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,185057,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,>50K +23,Private,240049,Preschool,1,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Laos,<=50K +18,Private,164441,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K +38,Private,179314,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,319854,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,4650,0,35,United-States,<=50K +19,Self-emp-inc,148955,Some-college,10,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,35,South,<=50K +23,Private,32950,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,4101,0,40,United-States,<=50K +37,Private,206699,HS-grad,9,Divorced,Tech-support,Own-child,White,Male,0,0,45,United-States,<=50K +25,Private,385646,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,31438,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,43,?,<=50K +45,Private,168598,12th,8,Married-civ-spouse,Adm-clerical,Wife,Black,Female,3103,0,40,United-States,>50K +32,Private,97306,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,48,United-States,<=50K +65,?,106910,11th,7,Divorced,?,Not-in-family,Asian-Pac-Islander,Female,0,0,15,United-States,<=50K +18,Self-emp-not-inc,29582,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,220284,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,Mexico,<=50K +29,Private,110226,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,65,?,<=50K +53,Private,240914,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,115496,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +27,Private,105817,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +24,State-gov,330836,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,36327,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,33423,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +45,Private,75673,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +36,Private,185744,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,United-States,>50K +36,Private,186035,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K +44,Local-gov,196456,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1669,40,United-States,<=50K +24,Private,111450,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K +39,Private,115289,Some-college,10,Divorced,Sales,Own-child,White,Male,0,1380,70,United-States,<=50K +50,Private,74879,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,117312,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,40,United-States,>50K +58,Private,272902,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Self-emp-inc,220230,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,48,United-States,<=50K +24,Private,90934,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,55,United-States,<=50K +52,Self-emp-inc,234286,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +46,Private,364548,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,8614,0,40,United-States,>50K +50,Self-emp-inc,283676,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K +34,Private,195602,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +40,Private,70761,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K +53,Private,142717,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,124242,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +58,?,53481,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,70,United-States,<=50K +26,Private,287797,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +22,Private,188274,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,171968,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +78,?,74795,Assoc-acdm,12,Widowed,?,Not-in-family,White,Female,0,0,4,United-States,<=50K +36,Private,218490,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Germany,>50K +43,Local-gov,94937,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,28,United-States,<=50K +60,Private,109511,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +49,Local-gov,269527,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +50,Self-emp-inc,201689,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,63,?,>50K +34,Self-emp-not-inc,120672,7th-8th,4,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,10,United-States,<=50K +46,Private,130779,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +46,Local-gov,441542,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +69,Private,114801,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +32,Private,180284,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +40,Local-gov,27444,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +61,Private,180382,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3411,0,45,United-States,<=50K +56,Private,143266,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +47,Private,139268,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,126208,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +37,Private,186191,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,46,United-States,<=50K +51,Private,197163,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,2559,50,United-States,>50K +44,State-gov,193524,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K +33,Private,181388,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Self-emp-not-inc,124963,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,80,United-States,>50K +24,Private,188925,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,149230,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +40,Private,388725,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,113543,Masters,14,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +61,?,187636,Bachelors,13,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +56,Self-emp-inc,267763,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,<=50K +69,Federal-gov,143849,11th,7,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +41,Self-emp-not-inc,97277,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,10,United-States,<=50K +40,Private,199303,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,124852,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +26,Private,50053,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +53,Private,97005,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,>50K +90,?,175444,7th-8th,4,Separated,?,Not-in-family,White,Female,0,0,15,United-States,<=50K +39,Private,337898,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K +51,Federal-gov,124076,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Federal-gov,277420,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Puerto-Rico,>50K +51,Private,280278,10th,6,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +17,Private,241185,12th,8,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +42,Private,202188,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,1741,50,United-States,<=50K +42,Private,198422,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,82242,Prof-school,15,Never-married,Prof-specialty,Unmarried,White,Male,27828,0,45,Germany,>50K +33,Private,178429,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +47,Private,185866,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,?,>50K +43,Private,212847,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +64,Self-emp-not-inc,219661,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,9,United-States,>50K +40,Private,321856,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,>50K +21,Private,313873,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K +31,Private,144064,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +60,Private,139586,Assoc-voc,11,Widowed,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,>50K +32,Private,419691,12th,8,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +66,?,212759,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,6767,0,20,United-States,<=50K +27,Private,195562,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,20,United-States,<=50K +40,Private,205706,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +27,Private,131310,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K +18,Private,54440,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +43,Private,200734,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +52,Private,81859,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K +31,Private,159589,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,85,United-States,<=50K +28,Private,300915,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +44,Private,185057,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +37,Self-emp-not-inc,42044,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K +35,Private,166416,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +42,Private,212737,9th,5,Separated,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K +18,Private,236069,10th,6,Never-married,Other-service,Own-child,Black,Male,0,0,10,United-States,<=50K +46,Self-emp-inc,216414,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,1977,60,United-States,>50K +54,Federal-gov,27432,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +54,Private,145419,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1672,50,United-States,<=50K +56,Private,147202,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,Germany,<=50K +27,Private,29261,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K +26,Private,359543,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K +41,Local-gov,227644,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,90021,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,?,<=50K +32,Private,188154,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +18,Private,110142,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +36,Private,186415,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,65,United-States,<=50K +37,Private,175720,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,172865,5th-6th,3,Never-married,Farming-fishing,Own-child,White,Male,0,0,25,Mexico,<=50K +46,Private,35969,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,51,United-States,<=50K +24,Private,433330,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Self-emp-inc,160261,Bachelors,13,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,35,Taiwan,<=50K +55,Private,189528,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +64,Local-gov,113324,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Local-gov,118500,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +65,Private,89681,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,99,United-States,<=50K +46,Federal-gov,199925,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,102308,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +18,Private,444607,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +32,Private,176998,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +38,?,94559,Bachelors,13,Married-civ-spouse,?,Wife,Other,Female,7688,0,50,?,>50K +34,State-gov,366198,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Germany,>50K +35,Private,180686,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,40,United-States,<=50K +26,Private,108019,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,3325,0,40,United-States,<=50K +24,Private,153542,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,35,United-States,<=50K +45,Self-emp-not-inc,210364,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,80,United-States,>50K +36,Private,185394,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,34,United-States,<=50K +44,Private,222703,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Nicaragua,<=50K +23,Private,183945,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +57,Private,161964,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +41,Self-emp-not-inc,375574,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,Mexico,>50K +20,Local-gov,312427,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,30,Puerto-Rico,<=50K +32,Private,53373,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K +60,Private,166330,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,99999,0,40,United-States,>50K +38,Self-emp-inc,124665,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Female,0,0,20,United-States,<=50K +29,Private,146719,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Female,0,0,45,United-States,<=50K +22,Private,306593,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,156687,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,30,India,<=50K +40,Local-gov,153489,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,White,Male,3137,0,40,United-States,<=50K +59,Private,231377,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,45,United-States,>50K +45,State-gov,127089,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +76,Local-gov,329355,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,13,United-States,<=50K +45,Private,178319,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +49,Local-gov,304246,Masters,14,Separated,Prof-specialty,Unmarried,White,Female,0,0,70,United-States,<=50K +36,Local-gov,174640,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,Black,Female,0,0,60,United-States,>50K +22,Private,148294,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +47,Private,298037,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,44,United-States,<=50K +26,Private,98155,HS-grad,9,Married-AF-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +21,Private,102766,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,78529,HS-grad,9,Never-married,Transport-moving,Own-child,White,Female,0,0,15,United-States,<=50K +26,Private,136309,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,275357,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,0,0,25,United-States,<=50K +31,Self-emp-not-inc,33117,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,England,<=50K +57,Local-gov,199546,Masters,14,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +39,Private,184128,11th,7,Divorced,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K +36,Private,337039,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,Black,Male,14344,0,40,England,>50K +66,Private,126511,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +34,Local-gov,325792,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +80,?,91901,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K +21,Private,119474,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +40,Private,153238,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,32,United-States,>50K +49,Local-gov,321851,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +48,Self-emp-not-inc,108557,Some-college,10,Divorced,Sales,Not-in-family,White,Female,3325,0,60,United-States,<=50K +19,State-gov,67217,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,594,0,24,United-States,<=50K +42,Private,195508,11th,7,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +59,Private,102193,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +63,Private,20323,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,122206,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +41,Private,200652,9th,5,Divorced,Other-service,Other-relative,White,Female,0,0,35,United-States,<=50K +42,Private,173590,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1628,40,United-States,<=50K +19,Private,184121,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +45,Local-gov,53123,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,United-States,<=50K +47,Private,175990,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,>50K +47,Private,316101,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,34080,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,England,<=50K +49,Self-emp-not-inc,219718,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K +36,Private,126954,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,99185,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Male,0,0,40,United-States,>50K +21,?,40052,Some-college,10,Never-married,?,Not-in-family,White,Male,0,2001,45,United-States,<=50K +39,Private,120074,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Self-emp-not-inc,77336,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,60981,Some-college,10,Never-married,Sales,Own-child,White,Female,2176,0,35,United-States,<=50K +59,Private,77884,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +50,Private,65408,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +31,Private,173279,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +52,?,318351,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,>50K +41,Self-emp-not-inc,157686,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +45,Private,277434,Assoc-acdm,12,Widowed,Tech-support,Unmarried,White,Male,0,0,40,United-States,>50K +54,Local-gov,184620,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,34443,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,25,United-States,<=50K +50,Private,268553,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,40,United-States,>50K +20,?,41356,Assoc-acdm,12,Never-married,?,Not-in-family,White,Female,0,0,32,United-States,<=50K +43,Private,459342,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Local-gov,148549,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,254293,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,2174,0,45,United-States,<=50K +54,Private,104501,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K +26,Private,238367,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,180439,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +51,Self-emp-inc,100029,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +54,Private,215990,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,44,United-States,>50K +32,State-gov,111567,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,49,United-States,>50K +46,Private,319163,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +60,?,160155,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,12,United-States,<=50K +52,Local-gov,378045,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +44,Private,177083,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Self-emp-inc,119891,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,40,United-States,<=50K +57,Private,127779,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,299353,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +30,Private,63861,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,112403,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,35,United-States,<=50K +49,Private,83610,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,66,United-States,>50K +28,Private,452808,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,176871,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +45,Private,100651,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,1980,40,United-States,<=50K +17,Private,266134,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K +54,Local-gov,196307,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,87891,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,182314,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +55,?,136819,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,181666,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,40,?,<=50K +37,Private,179671,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +34,Private,27494,HS-grad,9,Divorced,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,48,United-States,>50K +38,Private,338320,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Canada,<=50K +51,Private,199688,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +41,Private,96635,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,60,United-States,<=50K +24,Private,165064,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Self-emp-inc,109856,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +33,Private,82393,HS-grad,9,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +31,Private,209538,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,209891,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,50,United-States,<=50K +32,Self-emp-not-inc,56026,Bachelors,13,Married-civ-spouse,Sales,Other-relative,White,Male,0,0,45,United-States,<=50K +35,Private,210844,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +43,Private,117158,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +40,Private,193144,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K +19,Self-emp-not-inc,137578,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,53,United-States,<=50K +23,Private,234108,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,32,United-States,<=50K +40,Private,155767,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +59,Private,110820,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,>50K +43,Private,403276,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,147269,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,?,<=50K +53,Private,123092,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,165673,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +68,Self-emp-inc,182131,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,10605,0,20,United-States,>50K +41,Private,204415,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K +32,Self-emp-not-inc,92531,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +25,State-gov,157028,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,228649,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,147253,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,15,United-States,<=50K +33,Private,160784,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Local-gov,163189,Some-college,10,Married-civ-spouse,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K +29,Private,146343,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K +20,Private,225811,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,23,United-States,<=50K +68,State-gov,202699,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2377,42,?,>50K +58,Private,374108,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,93930,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,412248,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +30,Private,427474,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +67,State-gov,160158,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,8,United-States,<=50K +26,Private,159603,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K +53,Self-emp-not-inc,101017,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +27,Local-gov,163862,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +29,Without-pay,212588,Some-college,10,Married-civ-spouse,Farming-fishing,Own-child,White,Male,0,0,65,United-States,<=50K +38,State-gov,321943,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +17,Private,317702,9th,5,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +48,Private,287480,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +52,Private,135607,Some-college,10,Widowed,Other-service,Unmarried,Black,Female,0,0,40,?,<=50K +28,Private,168514,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +18,Private,88642,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +28,Private,227104,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +34,Private,157289,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,213321,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +46,Private,294907,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +30,Private,251411,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +20,Private,183594,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,189565,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,2174,0,50,United-States,<=50K +55,Private,217802,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,25,United-States,<=50K +20,Private,388156,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,24,United-States,<=50K +54,Private,447555,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +27,Private,204098,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +43,Private,193882,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,55,United-States,<=50K +17,?,89870,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +48,State-gov,49595,Masters,14,Divorced,Protective-serv,Not-in-family,White,Male,0,0,72,United-States,<=50K +34,Private,228873,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +66,?,108185,9th,5,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K +29,Private,176027,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,?,405374,Some-college,10,Separated,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K +37,Private,39606,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +56,Private,178353,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +58,Private,160662,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +54,Self-emp-inc,196328,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,Jamaica,<=50K +45,Private,20534,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,41,United-States,<=50K +29,Self-emp-inc,156815,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,360252,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +43,Private,245056,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K +33,Local-gov,422718,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,118081,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,3103,0,42,United-States,<=50K +25,Private,262978,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +25,Private,187577,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +69,?,259323,Prof-school,15,Divorced,?,Not-in-family,White,Male,0,0,5,United-States,<=50K +37,Private,160920,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,194247,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,25,United-States,<=50K +39,Private,134367,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,24,United-States,>50K +17,Private,123335,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +27,Local-gov,332249,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,358124,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K +55,Private,208019,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +39,Private,318452,11th,7,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +41,Private,207779,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,238376,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +51,Private,673764,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +67,State-gov,239705,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,12,?,<=50K +40,Private,133974,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +58,Private,138285,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K +23,Private,152140,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Local-gov,287920,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +51,Private,289572,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K +43,State-gov,78765,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +25,State-gov,99076,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,2597,0,50,United-States,<=50K +36,Self-emp-not-inc,224886,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,2407,0,40,United-States,<=50K +58,Private,206532,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +33,Private,129529,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Local-gov,202473,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,162312,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,40,South,<=50K +45,Private,72844,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,46,United-States,<=50K +49,Private,206947,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,64112,12th,8,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,State-gov,20057,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,38,Philippines,<=50K +42,State-gov,222884,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,132683,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,50,United-States,<=50K +73,?,177773,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K +59,Self-emp-not-inc,144071,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,2580,0,15,El-Salvador,<=50K +28,Private,148429,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2885,0,40,United-States,<=50K +19,Private,168601,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K +31,State-gov,78291,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Federal-gov,243929,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,<=50K +21,Private,215039,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,13,?,<=50K +47,Self-emp-not-inc,185673,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +30,Private,121142,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K +41,Private,173858,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K +59,?,87247,10th,6,Divorced,?,Not-in-family,White,Female,0,0,40,England,<=50K +43,Private,334991,Some-college,10,Separated,Transport-moving,Unmarried,White,Male,4934,0,51,United-States,>50K +48,Private,93476,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,2001,40,United-States,<=50K +44,Private,174283,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +44,Private,128676,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +24,Private,205844,Bachelors,13,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K +28,Private,62535,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K +50,Private,240612,HS-grad,9,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,10,United-States,<=50K +33,Private,176992,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +23,Local-gov,254127,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Female,0,0,50,United-States,<=50K +30,?,138744,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,128460,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +21,State-gov,56582,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,10,United-States,<=50K +52,Private,153751,9th,5,Separated,Other-service,Not-in-family,Black,Female,0,0,30,United-States,<=50K +26,Private,284343,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +27,State-gov,312692,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,12,United-States,<=50K +28,Private,111520,11th,7,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,Nicaragua,<=50K +50,Self-emp-inc,304955,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +28,Private,288598,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +61,Self-emp-not-inc,117387,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K +32,Private,230484,7th-8th,4,Separated,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +30,Federal-gov,319280,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Local-gov,186416,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Local-gov,147372,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,2444,40,United-States,>50K +36,Private,145933,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,2258,70,United-States,<=50K +28,Private,110164,Some-college,10,Divorced,Other-service,Other-relative,Black,Male,0,0,24,United-States,<=50K +49,Private,225454,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +61,Self-emp-not-inc,220342,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K +41,Self-emp-not-inc,144002,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +55,Private,225365,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +36,Private,187983,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +21,Private,89991,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +57,Self-emp-not-inc,225913,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +49,Self-emp-inc,229737,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,37,United-States,>50K +59,Private,145574,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,274363,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,80,United-States,>50K +59,Private,365390,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,266467,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +42,Private,183384,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +41,Local-gov,112797,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,<=50K +45,Federal-gov,76008,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +36,Private,156780,HS-grad,9,Never-married,Sales,Other-relative,Asian-Pac-Islander,Female,0,0,40,?,<=50K +42,Local-gov,186909,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K +25,Private,25497,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,102771,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K +58,Self-emp-not-inc,248841,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K +39,Private,30916,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,123270,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +22,Self-emp-not-inc,210165,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,222596,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Male,0,0,50,United-States,>50K +53,Self-emp-inc,188067,Some-college,10,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,119592,Assoc-acdm,12,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,2824,40,?,>50K +27,Private,250314,9th,5,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Guatemala,<=50K +60,Private,205934,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +46,Private,186172,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K +56,Self-emp-inc,98418,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K +36,Private,329980,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,27828,0,40,United-States,>50K +56,Private,147653,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K +35,?,195946,Some-college,10,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +29,Self-emp-inc,168221,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1740,70,United-States,<=50K +19,Private,151801,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,39,United-States,<=50K +38,Private,177154,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +40,Federal-gov,73883,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +52,Private,175714,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +22,Private,43535,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +32,State-gov,104509,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +27,Private,118230,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,152046,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,Guatemala,<=50K +36,Private,52327,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,40,Iran,>50K +22,Private,218886,12th,8,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,84119,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +37,Private,189674,Bachelors,13,Separated,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +22,Private,222993,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,54,United-States,<=50K +29,Private,47429,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +42,Private,144995,Preschool,1,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,25,United-States,<=50K +45,Private,187969,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K +33,Private,288398,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +39,Private,114591,Some-college,10,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,167737,12th,8,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K +53,Local-gov,248834,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +30,Private,165686,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,Self-emp-not-inc,40200,Some-college,10,Widowed,Craft-repair,Not-in-family,Black,Male,0,0,35,United-States,<=50K +43,Self-emp-inc,117158,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K +47,Local-gov,216657,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,>50K +61,Private,124242,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,India,<=50K +39,Local-gov,239119,Masters,14,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,Dominican-Republic,<=50K +47,Private,190072,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K +19,Private,378114,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K +37,Private,236990,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3464,0,40,United-States,<=50K +31,Private,101761,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,51,United-States,<=50K +69,Self-emp-not-inc,37745,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,8,United-States,<=50K +22,?,424494,Some-college,10,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +29,Private,130438,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,100605,Some-college,10,Never-married,Machine-op-inspct,Own-child,Other,Male,0,0,14,United-States,<=50K +42,Private,220776,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,40,Poland,<=50K +30,Local-gov,154950,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,>50K +28,Private,192283,Masters,14,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,80,United-States,>50K +27,Private,210765,Assoc-voc,11,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,147476,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +35,State-gov,193241,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1651,40,United-States,<=50K +22,Private,109053,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,265618,HS-grad,9,Separated,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K +38,Local-gov,172855,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,1887,40,United-States,>50K +27,Private,68848,Bachelors,13,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +30,Private,229051,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,37,United-States,<=50K +27,Private,106039,Bachelors,13,Divorced,Prof-specialty,Own-child,White,Female,0,0,50,United-States,<=50K +25,Private,112835,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,?,205396,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,4,United-States,<=50K +32,Private,283400,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +70,Private,195739,10th,6,Widowed,Craft-repair,Unmarried,White,Male,0,0,45,United-States,<=50K +50,Private,36480,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,303291,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K +34,Private,293900,11th,7,Married-spouse-absent,Craft-repair,Not-in-family,Black,Male,0,0,55,United-States,<=50K +57,Self-emp-not-inc,165922,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,65738,Masters,14,Never-married,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K +49,Private,175070,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,339814,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,40,United-States,>50K +26,Private,150132,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +31,Private,377374,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,Japan,<=50K +60,Self-emp-not-inc,166153,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +46,Private,110171,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +26,Private,94477,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,55,United-States,>50K +27,Private,194243,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +31,Private,106347,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +59,Private,214865,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +19,?,185619,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +18,Private,96445,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K +22,Private,102632,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +24,Private,209034,Assoc-acdm,12,Married-civ-spouse,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +53,State-gov,153486,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +43,Private,144371,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,42,United-States,>50K +24,Private,186213,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +60,Private,188236,10th,6,Widowed,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,418405,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +52,Federal-gov,125796,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +32,Private,183304,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,>50K +34,Private,329587,10th,6,Separated,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +35,Local-gov,182570,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +38,Private,446654,9th,5,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K +34,Self-emp-not-inc,254304,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,4508,0,90,United-States,<=50K +53,Local-gov,131258,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +23,Private,103632,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,241895,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,244945,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,20795,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +17,Private,347322,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +53,Local-gov,103995,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,1876,54,United-States,<=50K +32,Private,53206,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K +43,?,387839,HS-grad,9,Never-married,?,Other-relative,White,Female,0,0,40,United-States,<=50K +18,Private,57108,11th,7,Never-married,Sales,Own-child,White,Male,0,0,16,United-States,<=50K +62,Private,177791,10th,6,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +45,Private,33794,Masters,14,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,249935,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,<=50K +73,Self-emp-not-inc,241121,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +64,Private,98586,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +26,Private,181920,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +23,Private,434467,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K +30,Private,113364,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Vietnam,<=50K +51,Private,249706,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Self-emp-not-inc,95455,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,<=50K +39,Private,209867,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,13550,0,45,United-States,>50K +35,Self-emp-inc,79586,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K +41,Private,289669,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,347166,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,4650,0,40,United-States,<=50K +40,Private,53835,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +46,Local-gov,14878,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +31,Private,266126,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +41,Self-emp-inc,146659,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Honduras,<=50K +42,Private,125280,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3137,0,40,United-States,<=50K +23,Private,173535,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +21,?,77665,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K +49,Private,280525,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +53,Private,479621,Assoc-voc,11,Divorced,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K +38,Local-gov,194630,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,4787,0,43,United-States,>50K +36,Private,247600,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,Taiwan,<=50K +32,Private,258406,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,72,Mexico,<=50K +20,Private,107746,11th,7,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,Guatemala,<=50K +17,?,47407,11th,7,Never-married,?,Own-child,White,Male,0,0,10,United-States,<=50K +22,Private,229987,Some-college,10,Never-married,Tech-support,Other-relative,Asian-Pac-Islander,Female,0,0,32,United-States,<=50K +25,Private,312338,Assoc-voc,11,Never-married,Craft-repair,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +58,Private,225394,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,<=50K +24,Private,373718,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,20,United-States,<=50K +48,State-gov,120131,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,8614,0,40,United-States,>50K +20,Private,472789,1st-4th,2,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,30,El-Salvador,<=50K +60,Self-emp-not-inc,27886,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +20,Private,138352,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K +52,Private,123011,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +36,Private,306567,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,40,United-States,>50K +46,Local-gov,187749,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +22,Private,260594,11th,7,Never-married,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K +19,Private,236879,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,35,United-States,<=50K +37,Private,186808,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K +30,Private,373213,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,>50K +44,Private,187629,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,25,United-States,<=50K +63,?,106648,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K +22,Private,305781,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,45,Canada,<=50K +31,Self-emp-inc,256362,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,3908,0,50,United-States,<=50K +17,Private,239947,11th,7,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,349041,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +67,Private,105252,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +46,Private,182715,7th-8th,4,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,166210,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K +20,Private,113200,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,6,United-States,<=50K +27,Private,142075,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K +35,Private,454843,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +19,Private,142219,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +36,Private,112512,12th,8,Separated,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K +43,Private,212894,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +62,State-gov,265201,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,251905,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,2339,40,Canada,<=50K +18,Private,170627,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +59,Private,354037,Prof-school,15,Married-civ-spouse,Transport-moving,Husband,Black,Male,15024,0,50,United-States,>50K +37,Private,259089,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,21856,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +46,Local-gov,207946,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,43,United-States,<=50K +29,Private,77009,11th,7,Separated,Sales,Not-in-family,White,Female,0,2754,42,United-States,<=50K +33,Private,36539,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +62,Private,176811,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,456062,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,55,United-States,>50K +28,Private,277746,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,288132,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +46,Federal-gov,344415,Masters,14,Married-civ-spouse,Armed-Forces,Husband,White,Male,0,1887,40,United-States,>50K +54,Self-emp-inc,206964,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K +34,Private,198091,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,United-States,<=50K +67,?,150264,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,20,Canada,>50K +62,Private,588484,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,>50K +30,Private,113364,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Poland,<=50K +19,Private,270551,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +49,?,31478,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,99,United-States,<=50K +27,Private,190525,Assoc-voc,11,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,45,United-States,<=50K +36,Private,153066,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +52,Private,150393,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +47,Private,99911,12th,8,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +57,Local-gov,343447,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +64,Private,169482,Some-college,10,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +56,?,32855,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,194501,11th,7,Widowed,Other-service,Own-child,White,Female,0,0,47,United-States,<=50K +53,Private,177705,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K +31,Private,123983,Some-college,10,Separated,Sales,Unmarried,Asian-Pac-Islander,Male,0,0,40,South,<=50K +41,Private,138975,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,45,United-States,>50K +45,Local-gov,235431,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +63,?,83043,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,2179,45,United-States,<=50K +45,State-gov,130206,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +23,Private,210053,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K +39,Local-gov,249392,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,72,United-States,<=50K +31,Private,87418,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,190387,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +54,Private,176240,Masters,14,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,60,United-States,>50K +22,?,211013,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,Mexico,<=50K +40,Local-gov,105862,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,5455,0,40,United-States,<=50K +55,Self-emp-not-inc,185195,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +31,Private,173495,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +58,Self-emp-inc,78634,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +31,Private,147284,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,99,United-States,>50K +46,Self-emp-not-inc,82572,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +38,Private,154641,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Local-gov,39236,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,594,0,25,United-States,<=50K +17,?,64785,10th,6,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +48,Self-emp-not-inc,179337,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,England,<=50K +73,Private,173047,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,United-States,<=50K +25,Private,264012,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +53,Federal-gov,227836,Some-college,10,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,321327,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,45,United-States,>50K +45,Self-emp-inc,108100,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,99999,0,25,?,>50K +37,Private,146398,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +30,Private,324120,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +29,Private,367329,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +29,State-gov,301582,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +75,?,222789,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,0,6,United-States,<=50K +58,Private,170108,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +42,Self-emp-not-inc,82297,7th-8th,4,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,50,United-States,<=50K +62,Local-gov,180162,9th,5,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,24,United-States,<=50K +45,Local-gov,348172,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,7298,0,40,United-States,>50K +38,Private,809585,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +36,Self-emp-not-inc,67728,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +70,?,163057,HS-grad,9,Widowed,?,Not-in-family,White,Female,2009,0,40,United-States,<=50K +42,Self-emp-not-inc,102069,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +47,Local-gov,149700,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,35,United-States,>50K +42,Self-emp-not-inc,109273,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +43,Private,393354,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,38,United-States,>50K +37,Private,226947,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +36,State-gov,86805,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,7298,0,39,United-States,>50K +27,Private,493689,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Female,0,0,40,France,<=50K +54,Private,299324,5th-6th,3,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Male,0,0,40,Mexico,<=50K +48,Self-emp-not-inc,353012,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K +29,Private,174419,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +29,Private,209472,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,<=50K +37,Private,295127,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,47,United-States,<=50K +55,Self-emp-inc,182273,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +67,Private,228200,HS-grad,9,Married-civ-spouse,Priv-house-serv,Wife,Black,Female,0,0,20,United-States,<=50K +51,Private,263836,HS-grad,9,Widowed,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K +35,Private,178948,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K +41,Private,43945,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K +64,Self-emp-not-inc,253296,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +23,Private,240137,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,55,Mexico,<=50K +49,Private,24712,Bachelors,13,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Philippines,<=50K +38,Self-emp-not-inc,342635,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,<=50K +62,Private,115387,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Female,0,0,40,United-States,<=50K +62,Self-emp-not-inc,182998,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,10,United-States,<=50K +70,?,133248,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,14,United-States,<=50K +45,Self-emp-not-inc,246891,Masters,14,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,30035,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +38,Private,175232,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +50,Self-emp-inc,140516,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,64980,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,55,United-States,>50K +30,Private,155781,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K +52,Federal-gov,192065,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Self-emp-not-inc,227890,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,50,United-States,>50K +62,Self-emp-not-inc,162249,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K +31,Private,165949,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Private,445382,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +34,Private,211948,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,1590,40,United-States,<=50K +53,Private,163678,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +42,Private,89413,12th,8,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,289700,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K +51,Private,163826,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +49,Private,185385,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +43,Private,169031,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,54611,Some-college,10,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,130620,11th,7,Married-spouse-absent,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,India,<=50K +26,Private,328663,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Other,Male,0,0,40,United-States,<=50K +50,Private,169646,Bachelors,13,Separated,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +35,Private,186815,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,103925,Some-college,10,Never-married,Tech-support,Other-relative,White,Female,0,0,40,United-States,<=50K +53,?,150393,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,1504,35,United-States,<=50K +20,Private,82777,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,16,United-States,<=50K +31,Local-gov,178449,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +28,Private,51672,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +46,Private,380162,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,>50K +21,Private,212114,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,8,United-States,<=50K +41,Self-emp-not-inc,100800,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,70,United-States,>50K +30,Private,162572,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,>50K +66,Self-emp-inc,179951,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +37,Self-emp-inc,190759,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +74,State-gov,236012,7th-8th,4,Widowed,Handlers-cleaners,Not-in-family,White,Female,0,0,20,United-States,<=50K +46,State-gov,164023,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,70,United-States,>50K +51,Private,172046,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +33,Private,182926,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +30,Private,151001,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3464,0,40,Mexico,<=50K +47,Self-emp-inc,362835,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +49,Private,97883,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +53,Private,91911,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Female,0,0,48,United-States,<=50K +24,Private,278130,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,146310,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,379412,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,37987,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +46,Self-emp-inc,256909,HS-grad,9,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,3325,0,45,United-States,<=50K +37,State-gov,482927,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,65,United-States,<=50K +48,State-gov,44434,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,61,United-States,>50K +25,Private,255474,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,?,303674,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,3103,0,20,United-States,<=50K +44,?,195488,12th,8,Separated,?,Not-in-family,White,Female,0,0,36,Puerto-Rico,<=50K +58,?,114362,Some-college,10,Married-civ-spouse,?,Husband,Black,Male,0,0,30,United-States,<=50K +27,Private,341504,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +69,Private,197080,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Male,0,0,8,United-States,<=50K +38,Private,102945,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K +47,Private,503454,12th,8,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K +30,Self-emp-not-inc,87561,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +46,Private,270693,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,3674,0,30,United-States,<=50K +27,Private,252813,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +19,Private,574271,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +18,Private,184016,HS-grad,9,Married-civ-spouse,Priv-house-serv,Not-in-family,White,Female,3103,0,40,United-States,<=50K +24,Private,235071,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +32,Private,158242,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,299810,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +19,Private,277695,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,36,Hong,<=50K +28,Private,23324,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Local-gov,316582,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K +38,Self-emp-not-inc,176657,Some-college,10,Separated,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,60,Japan,<=50K +42,Private,93770,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,>50K +31,Private,124569,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +46,Private,117313,9th,5,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Ireland,<=50K +53,Private,53812,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,54,United-States,<=50K +21,Private,170456,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K +48,Self-emp-not-inc,115971,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +46,Private,31432,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,3103,0,52,United-States,>50K +30,Private,112383,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +24,Private,283092,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,40,Jamaica,<=50K +32,Private,27207,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +30,Private,46712,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,State-gov,19520,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K +56,Private,98630,7th-8th,4,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,159897,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,37,United-States,<=50K +38,Private,136629,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Iran,<=50K +19,Private,407759,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +61,Self-emp-not-inc,221884,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +49,Private,148475,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,274964,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K +50,Self-emp-inc,160107,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +43,Private,167265,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,84,United-States,>50K +34,Private,148226,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,48,United-States,<=50K +28,Private,153869,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,208881,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,256953,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,44,United-States,<=50K +26,Private,100147,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K +51,Local-gov,166461,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,>50K +35,Private,171327,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,297335,Assoc-acdm,12,Married-spouse-absent,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,31,Laos,<=50K +63,?,133166,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,12,United-States,<=50K +31,Private,169589,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +22,Local-gov,273734,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K +67,Private,158301,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +50,?,257117,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K +63,Private,196725,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K +31,Private,137444,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +17,Private,286960,11th,7,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +41,Local-gov,201435,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +53,Local-gov,216931,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,United-States,<=50K +44,Local-gov,212665,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,99,United-States,<=50K +24,Private,462820,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,198841,Assoc-voc,11,Divorced,Tech-support,Own-child,White,Male,0,0,35,United-States,<=50K +61,Private,219886,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K +31,Private,163003,Assoc-acdm,12,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +44,Private,112262,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,5178,0,40,United-States,>50K +56,Private,213105,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,36,United-States,>50K +66,Private,302072,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Private,338105,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +69,Self-emp-not-inc,58213,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,45,United-States,>50K +64,Private,125684,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,215419,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,36,United-States,>50K +43,Local-gov,413760,Some-college,10,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +37,Private,205339,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,49,United-States,<=50K +19,Private,236570,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K +59,Self-emp-not-inc,247552,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +50,Federal-gov,184007,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,341187,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +56,Private,220187,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +28,Private,198258,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,175821,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,34,United-States,<=50K +42,Private,92288,Masters,14,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K +34,Private,261418,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,203319,11th,7,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +68,Self-emp-not-inc,166083,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +28,Private,109001,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +81,?,106765,Some-college,10,Widowed,?,Unmarried,White,Female,0,0,4,United-States,<=50K +22,Self-emp-not-inc,197387,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +58,Private,284834,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,87535,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,25,United-States,<=50K +17,Local-gov,175587,11th,7,Never-married,Protective-serv,Own-child,White,Male,0,0,30,United-States,<=50K +25,Private,242700,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,10520,0,50,United-States,>50K +23,Private,161478,Some-college,10,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,23,United-States,<=50K +25,Private,51498,12th,8,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K +47,Private,220124,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,188503,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,60,United-States,>50K +44,Private,113324,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,208872,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +38,Self-emp-not-inc,34180,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +23,Private,292023,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,United-States,<=50K +34,Private,141118,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +33,Private,348592,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K +38,Private,185203,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +52,Self-emp-not-inc,165278,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,116933,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,33,United-States,<=50K +38,Private,237608,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,2444,45,United-States,>50K +35,Private,84787,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +67,Self-emp-not-inc,217892,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,10605,0,35,United-States,>50K +60,Private,325971,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7688,0,40,United-States,>50K +44,Private,206878,HS-grad,9,Never-married,Sales,Other-relative,White,Female,0,0,15,United-States,<=50K +38,Self-emp-not-inc,127772,HS-grad,9,Divorced,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K +29,Private,208577,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +65,Private,344152,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,5556,0,50,United-States,>50K +33,Private,40681,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,?,95108,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,280603,11th,7,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +43,Private,188436,Prof-school,15,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,134220,Assoc-voc,11,Divorced,Exec-managerial,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +42,Private,177989,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,164190,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,United-States,<=50K +36,Private,90897,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,State-gov,33126,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +30,Private,270886,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +21,Private,216129,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +33,Private,189368,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K +19,?,141418,Some-college,10,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K +19,Private,306225,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +35,Private,330664,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,191765,HS-grad,9,Divorced,Tech-support,Unmarried,Black,Female,0,0,35,United-States,<=50K +45,Private,289353,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,24,United-States,<=50K +25,Private,53147,Bachelors,13,Never-married,Exec-managerial,Own-child,Black,Male,0,0,50,United-States,<=50K +39,Self-emp-not-inc,122353,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,188767,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Private,239576,Masters,14,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,10,United-States,<=50K +52,Local-gov,155141,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +22,Private,64520,12th,8,Never-married,Transport-moving,Unmarried,White,Male,0,0,30,United-States,<=50K +23,Private,478994,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +46,Private,155654,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +34,Self-emp-not-inc,124052,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +39,Private,245053,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +38,Private,183585,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Self-emp-not-inc,323639,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K +55,Federal-gov,186791,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,284303,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,40,United-States,>50K +23,Private,186666,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,200153,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,180931,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,30,United-States,<=50K +51,Self-emp-not-inc,183173,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +47,Self-emp-inc,120131,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Cuba,>50K +25,Self-emp-not-inc,263300,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +34,Private,226443,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +18,Private,404868,11th,7,Never-married,Sales,Own-child,Black,Female,0,1602,20,United-States,<=50K +19,Private,208506,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,28,United-States,<=50K +32,Private,46746,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +49,Private,246183,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +40,?,165309,7th-8th,4,Separated,?,Not-in-family,White,Female,0,0,8,United-States,<=50K +43,Private,122749,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +71,Self-emp-inc,38822,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K +59,Private,167963,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +32,Private,273241,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +25,Private,120238,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,167990,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Ireland,<=50K +17,Private,225507,11th,7,Never-married,Handlers-cleaners,Not-in-family,Black,Female,0,0,15,United-States,<=50K +57,Self-emp-inc,125000,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +17,Self-emp-not-inc,174120,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K +27,Private,230959,Bachelors,13,Never-married,Tech-support,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +41,Local-gov,132125,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +62,?,68461,Doctorate,16,Married-civ-spouse,?,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K +19,Private,227178,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +41,Private,165798,5th-6th,3,Divorced,Other-service,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K +39,Private,129573,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +30,Private,224377,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,179481,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +18,Private,434268,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +40,Self-emp-not-inc,173716,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +38,Self-emp-inc,244803,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1485,60,Cuba,>50K +24,Private,114230,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +33,Private,188661,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +48,Private,216093,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,124963,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +48,Private,85341,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,193490,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +34,Private,80058,Prof-school,15,Never-married,Exec-managerial,Own-child,White,Male,0,0,50,United-States,<=50K +41,Private,139907,Assoc-voc,11,Separated,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +51,Self-emp-inc,54342,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,27828,0,60,United-States,>50K +25,Private,188767,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,117222,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K +61,Self-emp-inc,171831,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,2829,0,45,United-States,<=50K +35,Private,187119,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,70,United-States,<=50K +42,Local-gov,97277,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Local-gov,219760,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,16,United-States,<=50K +46,Private,63299,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +39,State-gov,171482,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +18,?,344742,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,210869,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,80,United-States,<=50K +39,Private,38312,Some-college,10,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,0,40,United-States,>50K +47,Private,119939,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +40,Private,83953,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +43,State-gov,101383,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +32,Private,204374,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,176831,10th,6,Divorced,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K +19,?,60688,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K +44,Federal-gov,251305,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +46,Local-gov,200947,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +53,Self-emp-not-inc,46704,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +43,Private,119721,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +41,State-gov,58930,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,247750,HS-grad,9,Widowed,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K +48,Private,67725,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +28,State-gov,200775,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +44,Private,183542,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K +20,?,25139,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +51,Local-gov,123325,Prof-school,15,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,269786,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,50,United-States,<=50K +36,Private,51089,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +28,Private,136985,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K +21,Private,129350,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +34,?,35595,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K +36,Local-gov,61299,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,?,192321,Assoc-acdm,12,Never-married,?,Own-child,White,Female,0,0,80,United-States,<=50K +31,Private,257644,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,43,United-States,<=50K +44,Self-emp-not-inc,70884,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +49,Local-gov,159726,11th,7,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +40,Private,174395,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +64,Federal-gov,175534,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,>50K +54,Local-gov,173050,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +27,Private,32519,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,55,South,<=50K +18,Private,322999,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +68,Private,148874,9th,5,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,44,United-States,<=50K +64,Private,43738,Doctorate,16,Widowed,Prof-specialty,Not-in-family,White,Male,0,0,80,United-States,>50K +36,Private,195385,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +21,Private,149809,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,24,United-States,<=50K +22,Private,51985,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K +61,Private,105384,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,137591,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,10,Greece,<=50K +49,State-gov,324791,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +25,Private,184303,Some-college,10,Separated,Priv-house-serv,Other-relative,White,Female,0,0,30,El-Salvador,<=50K +66,?,314347,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K +29,Private,274010,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +22,Private,321031,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K +57,Federal-gov,313929,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +41,Private,394669,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1741,40,United-States,<=50K +29,Private,152951,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +20,Private,247115,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K +47,Private,175958,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +22,Private,109039,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +59,Self-emp-inc,141326,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +42,State-gov,74334,Masters,14,Married-civ-spouse,Adm-clerical,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K +64,Self-emp-not-inc,47462,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +29,Federal-gov,182344,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K +25,State-gov,295912,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,20,United-States,<=50K +62,Private,311495,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,236746,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,10520,0,45,United-States,>50K +21,Private,187643,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +60,Private,282923,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +46,Private,501671,10th,6,Divorced,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K +44,Federal-gov,29591,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Male,0,2258,40,United-States,>50K +21,Private,301556,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,19,United-States,<=50K +18,Private,187240,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,18,United-States,<=50K +39,Private,219483,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,5013,0,32,United-States,<=50K +33,Private,594187,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +63,Private,200474,1st-4th,2,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Local-gov,152795,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,>50K +17,Private,230789,9th,5,Never-married,Sales,Own-child,Black,Male,0,0,22,United-States,<=50K +45,Self-emp-inc,311231,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1485,50,United-States,>50K +31,Private,114691,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,194591,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,114691,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +51,State-gov,42017,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Local-gov,383384,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +28,Private,29444,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +42,Federal-gov,53727,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,?,<=50K +38,Private,277022,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,Columbia,<=50K +43,Local-gov,113324,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +30,Private,342709,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,179203,12th,8,Never-married,Sales,Other-relative,White,Male,0,0,55,United-States,<=50K +46,Private,251474,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +50,Private,93730,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +22,Private,37894,HS-grad,9,Separated,Other-service,Other-relative,White,Male,0,0,35,United-States,<=50K +18,State-gov,272918,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,15,United-States,<=50K +53,Private,151411,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +40,Private,210648,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K +36,Self-emp-not-inc,347491,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +32,Private,255885,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,>50K +39,Private,356838,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,12,United-States,<=50K +46,Private,216164,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +26,Local-gov,288781,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,42,United-States,<=50K +19,Private,439779,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +24,Private,161638,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Ecuador,<=50K +28,Private,190525,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +25,Local-gov,276249,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +44,Private,147265,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,Private,245090,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Nicaragua,<=50K +42,State-gov,219682,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +28,Private,392100,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,358682,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Male,0,0,50,?,<=50K +47,Private,262244,Bachelors,13,Never-married,Sales,Not-in-family,Black,Male,0,0,60,United-States,>50K +46,Private,171228,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3411,0,35,Guatemala,<=50K +21,Local-gov,218445,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K +19,?,182609,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,25,United-States,<=50K +35,Private,509462,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +26,Private,213258,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,118401,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +67,Self-emp-not-inc,45814,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,329733,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,>50K +26,Private,29957,Masters,14,Never-married,Tech-support,Other-relative,White,Male,0,0,25,United-States,<=50K +51,Private,215854,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +27,Private,327766,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +27,Private,405765,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,>50K +39,Private,80680,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +32,Private,177792,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,48,United-States,>50K +52,Private,273514,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,202373,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +27,Local-gov,332785,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,38,United-States,<=50K +46,Private,149640,7th-8th,4,Married-spouse-absent,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +42,Private,40151,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +79,Self-emp-inc,183686,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,>50K +50,Federal-gov,32801,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,>50K +19,?,195282,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,20,United-States,<=50K +43,Federal-gov,134026,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,2174,0,40,United-States,<=50K +51,Local-gov,96678,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +45,Private,174533,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,50,United-States,>50K +65,Private,180807,HS-grad,9,Separated,Protective-serv,Not-in-family,White,Male,991,0,20,United-States,<=50K +66,Private,186324,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,5,United-States,>50K +36,Self-emp-not-inc,257250,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K +26,Private,212800,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Female,0,0,36,United-States,<=50K +28,Private,55360,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,50,United-States,<=50K +39,Self-emp-not-inc,195253,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +43,Private,45156,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +20,Private,435469,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,Mexico,<=50K +29,Private,231287,Some-college,10,Divorced,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K +32,Private,168854,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1848,50,United-States,>50K +44,Self-emp-not-inc,185057,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,3325,0,40,United-States,<=50K +18,?,91670,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +60,Private,165517,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,73161,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +60,Private,178792,HS-grad,9,Widowed,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,32897,11th,7,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,250967,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,41901,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,1408,40,United-States,<=50K +49,Private,379779,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,217838,5th-6th,3,Separated,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K +37,Self-emp-not-inc,137527,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,2559,60,United-States,>50K +43,Private,198965,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,38,United-States,>50K +41,Private,70645,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,4650,0,55,United-States,<=50K +37,Private,220644,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,?,<=50K +19,Private,175081,9th,5,Never-married,Craft-repair,Other-relative,White,Male,0,0,60,United-States,<=50K +29,Private,180299,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K +40,Self-emp-not-inc,548664,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,15,United-States,<=50K +53,Private,278114,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +27,Private,394927,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +44,Self-emp-not-inc,127482,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,England,>50K +29,Private,236938,Assoc-acdm,12,Divorced,Craft-repair,Unmarried,White,Female,0,0,38,United-States,<=50K +25,Private,232991,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Mexico,<=50K +38,Private,34378,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +48,Self-emp-inc,81513,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +18,Private,106780,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K +50,Private,178596,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,1408,50,United-States,<=50K +37,Private,329026,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +48,Private,26490,Bachelors,13,Widowed,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +50,Private,338033,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K +74,?,169303,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,6767,0,6,United-States,<=50K +24,Private,21154,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +34,Private,209449,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,>50K +19,Private,389143,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +39,Private,101260,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,198270,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,45781,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,134566,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,?,283806,9th,5,Divorced,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +68,?,286869,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,1668,40,?,<=50K +46,Private,422813,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +24,Local-gov,103277,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,50,United-States,<=50K +18,Private,201871,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +50,Self-emp-not-inc,167728,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +42,Private,211517,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,118212,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,259846,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,3471,0,40,United-States,<=50K +57,Private,98926,Some-college,10,Widowed,Tech-support,Not-in-family,White,Female,0,0,16,United-States,<=50K +27,Private,207352,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K +31,Private,206609,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +34,Local-gov,104509,Masters,14,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +55,Self-emp-not-inc,170350,HS-grad,9,Divorced,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +56,Private,183884,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +36,State-gov,110964,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1672,38,United-States,<=50K +35,State-gov,154410,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +63,?,257659,Masters,14,Never-married,?,Not-in-family,White,Female,0,0,3,United-States,<=50K +28,Private,274679,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +38,Private,252662,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Self-emp-inc,356689,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K +18,Private,205218,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +35,Private,241306,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +53,Private,139127,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,175625,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Private,206459,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,176123,10th,6,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,60,India,<=50K +41,Private,111483,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +60,Self-emp-not-inc,106118,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K +18,Private,77845,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,1602,15,United-States,<=50K +19,Private,162094,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,216469,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1579,50,United-States,<=50K +56,Local-gov,381965,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +28,Private,145284,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K +29,Private,242482,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K +35,Self-emp-not-inc,160192,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +27,?,280699,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K +55,Private,175942,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,55,?,>50K +18,Private,156950,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K +53,Private,215572,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,173593,Masters,14,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,20,Canada,<=50K +55,Private,193374,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +45,Local-gov,334039,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +28,Private,337664,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,113504,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +27,Private,177072,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,174503,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,214807,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,37,United-States,<=50K +41,Private,222596,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K +23,Private,100345,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +22,Private,409230,12th,8,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,112497,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,25236,0,40,United-States,>50K +65,Self-emp-inc,115922,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +59,?,375049,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,41,United-States,>50K +25,Private,243560,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,Columbia,<=50K +33,Local-gov,182971,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,40,United-States,>50K +31,Private,127215,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +50,State-gov,276241,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +49,State-gov,175109,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +43,Private,498079,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Federal-gov,344394,Some-college,10,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +34,Private,99872,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,3103,0,40,India,>50K +23,Private,245302,Some-college,10,Divorced,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K +63,Private,43313,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,188467,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Self-emp-inc,351278,Bachelors,13,Divorced,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K +31,Private,182246,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +32,Private,79870,Some-college,10,Married-civ-spouse,Exec-managerial,Own-child,White,Female,2597,0,40,Japan,<=50K +48,?,353824,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,?,>50K +31,Private,387116,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,36,Jamaica,<=50K +47,Private,34248,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +54,State-gov,198741,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +23,Private,32950,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,381153,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +46,Private,100067,11th,7,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,35,United-States,>50K +34,Private,208785,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +31,Private,61559,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K +41,Private,176452,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,Peru,<=50K +41,?,128700,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +27,Self-emp-not-inc,328518,Assoc-voc,11,Never-married,Prof-specialty,Other-relative,White,Male,0,0,30,United-States,<=50K +30,?,201196,11th,7,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K +23,Private,378546,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +24,Local-gov,212210,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,?,<=50K +59,Federal-gov,178660,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,235826,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K +35,Self-emp-not-inc,22641,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +59,Private,316027,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,Cuba,<=50K +47,Private,431515,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +51,Self-emp-not-inc,149770,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,44,United-States,<=50K +42,Private,165916,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +29,Federal-gov,107411,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +23,Private,217961,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,45,Outlying-US(Guam-USVI-etc),<=50K +43,Self-emp-not-inc,350387,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +46,Private,325372,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,156718,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,216472,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,20,United-States,<=50K +29,State-gov,106972,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +33,Private,131934,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +33,Local-gov,365908,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,2105,0,40,United-States,<=50K +46,Local-gov,359193,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +35,Private,261012,Some-college,10,Married-spouse-absent,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +36,Private,272944,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K +25,Private,113654,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,37,United-States,<=50K +35,Private,218955,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,115963,7th-8th,4,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,42,United-States,<=50K +39,Private,80638,Some-college,10,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,84,United-States,>50K +37,Private,147258,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +22,Private,214635,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,42,United-States,<=50K +25,Private,200318,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +50,Private,138270,HS-grad,9,Married-civ-spouse,Sales,Wife,Black,Female,0,0,40,United-States,<=50K +64,Federal-gov,388594,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,?,>50K +33,Private,103435,Assoc-voc,11,Separated,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +59,Self-emp-inc,133201,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Italy,<=50K +24,Private,175183,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,99870,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +38,?,107479,9th,5,Never-married,?,Own-child,White,Female,0,0,12,United-States,<=50K +60,Private,113440,Bachelors,13,Divorced,Exec-managerial,Own-child,White,Male,0,0,60,United-States,<=50K +19,Private,85690,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,30,United-States,<=50K +23,Private,45713,Some-college,10,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +57,Self-emp-inc,376230,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,99999,0,40,United-States,>50K +36,Private,145576,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1977,40,Japan,>50K +17,?,67808,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,113936,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,158291,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +27,Private,193898,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +43,Private,191982,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,55,United-States,<=50K +21,?,72953,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +54,Private,271160,Assoc-voc,11,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,33087,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +29,Private,106153,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +22,Private,29444,12th,8,Never-married,Farming-fishing,Not-in-family,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K +37,Private,105021,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +38,Self-emp-not-inc,239045,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +34,Private,94413,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,20534,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,84,United-States,>50K +28,Private,350254,1st-4th,2,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,Mexico,<=50K +68,Private,194746,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,Cuba,<=50K +36,Private,269042,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K +20,Private,447488,9th,5,Never-married,Other-service,Unmarried,White,Male,0,0,30,Mexico,<=50K +24,Private,267706,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,45,United-States,<=50K +38,Private,198216,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,227931,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,252646,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K +47,Private,223342,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,2174,0,40,England,<=50K +28,Private,181776,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +32,Private,132601,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +58,Private,205410,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +64,Self-emp-inc,185912,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,35,United-States,>50K +38,Private,292570,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,50,United-States,<=50K +43,Private,76460,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,295163,12th,8,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,27255,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,?,<=50K +23,Private,69847,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K +25,Private,104993,9th,5,Never-married,Handlers-cleaners,Own-child,Black,Male,2907,0,40,United-States,<=50K +41,Private,322980,HS-grad,9,Separated,Adm-clerical,Not-in-family,Black,Male,2354,0,40,United-States,<=50K +24,?,390608,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,36,United-States,<=50K +41,Private,317539,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +27,Private,195678,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,466502,7th-8th,4,Widowed,Other-service,Unmarried,White,Male,0,0,30,United-States,<=50K +28,Local-gov,220754,HS-grad,9,Separated,Transport-moving,Own-child,White,Female,0,0,25,United-States,<=50K +29,Private,202878,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2042,40,United-States,<=50K +36,Private,343476,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +41,Self-emp-inc,93227,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,1977,60,Taiwan,>50K +60,Self-emp-not-inc,38622,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +34,State-gov,173730,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,<=50K +32,Private,178623,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,?,<=50K +27,Private,300783,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,42,United-States,>50K +60,Private,224644,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,191502,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,61885,12th,8,Divorced,Transport-moving,Other-relative,Black,Male,0,0,35,United-States,<=50K +34,Self-emp-not-inc,213887,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,32,Canada,>50K +36,Private,331395,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,145098,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +48,Private,123075,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +19,Private,216804,7th-8th,4,Never-married,Other-service,Own-child,White,Male,0,0,33,United-States,<=50K +40,Private,188291,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +25,Private,33610,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K +39,Private,234901,Assoc-acdm,12,Separated,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +34,Self-emp-not-inc,349148,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,168443,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +43,Private,211860,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,24,United-States,<=50K +35,Private,193961,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +36,Local-gov,52532,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,50,United-States,>50K +59,Self-emp-not-inc,75804,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,>50K +33,Self-emp-not-inc,176185,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,306779,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K +48,Private,265192,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +54,Private,139347,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Private,107682,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +37,Private,34173,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,128378,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +51,Self-emp-inc,195638,Some-college,10,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,59287,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Self-emp-not-inc,162442,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +29,?,350603,10th,6,Never-married,?,Own-child,White,Female,0,0,38,United-States,<=50K +39,Private,344743,Some-college,10,Married-civ-spouse,Adm-clerical,Own-child,Black,Female,0,0,50,United-States,>50K +35,Private,112077,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,5013,0,40,United-States,<=50K +26,Private,176795,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,>50K +51,Private,137815,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K +31,Private,309620,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,6,South,<=50K +39,Private,336880,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +26,Private,206600,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,30,Mexico,<=50K +25,Private,193051,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,35,United-States,<=50K +61,Federal-gov,229062,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1887,40,United-States,>50K +49,Private,62793,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +53,Private,264939,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Mexico,<=50K +52,Private,370552,Preschool,1,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,El-Salvador,<=50K +52,Private,163678,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +74,?,89667,Bachelors,13,Widowed,?,Not-in-family,Other,Female,0,0,35,United-States,<=50K +50,Private,558490,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +29,Private,124680,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,13550,0,35,United-States,>50K +76,Private,208843,7th-8th,4,Widowed,Protective-serv,Not-in-family,White,Male,0,0,30,United-States,<=50K +19,Private,95078,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +25,Private,169679,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,101320,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,168906,Assoc-acdm,12,Divorced,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +20,Private,212582,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +66,?,170617,Masters,14,Widowed,?,Not-in-family,White,Male,0,0,6,United-States,<=50K +63,?,170529,Bachelors,13,Married-civ-spouse,?,Wife,Black,Female,0,0,45,United-States,<=50K +27,Private,99897,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,104892,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,2829,0,40,United-States,<=50K +43,Private,175224,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,Nicaragua,<=50K +23,Private,149704,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +37,Federal-gov,214542,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Private,167319,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +33,State-gov,43716,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,4,United-States,<=50K +28,Private,191935,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +70,?,158642,HS-grad,9,Widowed,?,Not-in-family,White,Female,2993,0,20,United-States,<=50K +35,Private,338611,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,136419,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,75,United-States,>50K +17,Private,72321,11th,7,Never-married,Other-service,Other-relative,White,Female,0,0,12,United-States,<=50K +41,Local-gov,189956,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,>50K +44,Private,403782,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +47,Private,456661,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +24,Private,279041,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,65716,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,189809,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,52,Jamaica,<=50K +62,Local-gov,223637,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K +27,Local-gov,199343,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K +59,Private,139344,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +35,Private,119098,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,195025,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,32,United-States,<=50K +28,Private,186720,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,50,United-States,<=50K +28,Private,328923,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,38,United-States,<=50K +59,State-gov,159472,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,138662,Some-college,10,Separated,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +54,Local-gov,286342,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,>50K +39,Private,181705,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +41,Private,193882,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,216497,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,Germany,<=50K +32,Self-emp-inc,124919,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,50,Iran,>50K +62,Private,109463,Some-college,10,Separated,Sales,Unmarried,White,Female,0,1617,33,United-States,<=50K +58,Private,256274,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,326379,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +67,?,174995,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,2457,40,United-States,<=50K +31,Private,243142,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Local-gov,155118,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,70,United-States,>50K +54,Private,189607,Bachelors,13,Never-married,Other-service,Own-child,Black,Female,0,0,36,United-States,<=50K +20,Private,39478,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,70,United-States,<=50K +35,Private,206951,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +22,Private,127647,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,36,United-States,<=50K +38,Private,234298,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,6849,0,60,United-States,<=50K +42,Private,182302,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +44,State-gov,166597,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +28,Self-emp-not-inc,33363,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,>50K +74,Self-emp-inc,167537,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +34,Private,179378,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,<=50K +50,State-gov,297551,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,52,United-States,<=50K +50,Private,198362,Assoc-voc,11,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,240504,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +29,Self-emp-not-inc,169662,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,?,164940,HS-grad,9,Separated,?,Unmarried,Black,Female,0,0,25,United-States,<=50K +61,Private,210488,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +21,Private,154835,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +27,Private,333296,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,30,?,<=50K +47,Private,192793,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Iran,>50K +39,Private,49436,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,1380,40,United-States,<=50K +33,Private,136331,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,509048,HS-grad,9,Never-married,Sales,Other-relative,Black,Female,0,0,37,United-States,<=50K +38,Private,318610,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +45,Private,104521,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,247695,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +35,Private,219546,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,Germany,<=50K +21,Private,169699,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,State-gov,131302,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,44,United-States,<=50K +50,Private,171852,Bachelors,13,Separated,Prof-specialty,Own-child,Other,Female,0,0,40,United-States,<=50K +36,State-gov,340091,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,>50K +20,Private,204641,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +49,Private,213431,HS-grad,9,Separated,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +40,State-gov,377018,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +22,Private,184543,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +60,?,188236,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +67,Private,233022,11th,7,Widowed,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +21,Private,177420,Some-college,10,Never-married,Adm-clerical,Not-in-family,Other,Female,0,0,40,United-States,<=50K +60,Self-emp-not-inc,21101,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K +17,Private,52486,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K +43,Private,183273,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,32,United-States,>50K +49,State-gov,36177,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +41,Private,124956,Bachelors,13,Separated,Prof-specialty,Not-in-family,Black,Female,99999,0,60,United-States,>50K +38,Private,102350,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +38,Private,165930,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,297574,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,99,United-States,>50K +40,Private,120277,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,?,87569,Some-college,10,Separated,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,?,278220,Some-college,10,Never-married,?,Own-child,White,Female,0,1602,40,United-States,<=50K +40,Private,155972,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +46,State-gov,162852,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,64860,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,22,United-States,<=50K +36,Private,226013,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,5178,0,40,United-States,>50K +24,Private,322674,Assoc-acdm,12,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,48,United-States,<=50K +62,Private,202242,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +54,Private,175262,Preschool,1,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K +23,Private,201682,Bachelors,13,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +60,Private,166330,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +18,Self-emp-inc,147612,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Female,0,0,8,United-States,<=50K +41,Local-gov,213154,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +45,Local-gov,33798,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +62,State-gov,199198,Assoc-voc,11,Widowed,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +28,Private,90915,Bachelors,13,Married-spouse-absent,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +36,Self-emp-inc,337778,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Yugoslavia,>50K +31,Private,187203,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +44,Private,261497,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,?,<=50K +33,Self-emp-not-inc,361817,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K +62,Self-emp-not-inc,226546,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,16,United-States,<=50K +27,Private,100168,7th-8th,4,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +42,Federal-gov,272625,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,>50K +55,Private,254516,9th,5,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,37,United-States,<=50K +41,Private,207375,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +26,Private,39092,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,4064,0,50,United-States,<=50K +45,Private,48271,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +67,Self-emp-not-inc,152102,HS-grad,9,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,65,United-States,<=50K +25,Private,234665,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +30,Self-emp-inc,127651,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,48,United-States,>50K +22,Private,180060,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +19,Private,32477,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +26,Private,137658,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +61,Private,228287,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,159442,Prof-school,15,Never-married,Sales,Not-in-family,White,Female,13550,0,50,United-States,>50K +43,Private,33310,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Private,270546,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,20,United-States,<=50K +53,Federal-gov,290290,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +42,Self-emp-inc,287037,12th,8,Divorced,Craft-repair,Not-in-family,White,Male,0,0,10,United-States,<=50K +36,Private,128516,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +55,Self-emp-not-inc,185195,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,99,United-States,<=50K +35,Federal-gov,49657,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +17,Private,98005,11th,7,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K +55,Self-emp-not-inc,283635,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +36,Private,98360,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +40,Local-gov,202872,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +54,Self-emp-not-inc,118365,10th,6,Divorced,Other-service,Not-in-family,Black,Female,0,0,10,United-States,<=50K +45,Self-emp-not-inc,184285,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +48,Private,345831,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +40,Local-gov,99679,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K +31,Private,253354,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +26,Private,190650,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K +34,Private,287737,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1485,40,United-States,>50K +19,Private,204389,HS-grad,9,Never-married,Adm-clerical,Own-child,Other,Female,0,0,25,Puerto-Rico,<=50K +31,Federal-gov,294870,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,159442,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +55,Local-gov,161662,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +38,Private,52738,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,252024,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,20,Mexico,<=50K +27,Private,189702,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,407913,HS-grad,9,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +20,Private,166527,Some-college,10,Never-married,Adm-clerical,Own-child,Other,Female,0,0,20,United-States,<=50K +24,Self-emp-not-inc,34918,Assoc-voc,11,Never-married,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K +27,Private,142712,Masters,14,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,?,<=50K +18,Federal-gov,201686,11th,7,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,4,United-States,<=50K +28,Local-gov,179759,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,94954,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K +66,Private,350498,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1258,20,United-States,<=50K +19,Private,201743,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +59,Self-emp-not-inc,119344,10th,6,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,36,United-States,<=50K +33,Private,149726,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,46,United-States,<=50K +28,Private,419146,7th-8th,4,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K +34,Private,174789,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,2001,40,United-States,<=50K +41,Private,171234,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,55,United-States,<=50K +30,Private,206325,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +59,Private,202682,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,121055,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +47,Private,160187,HS-grad,9,Separated,Prof-specialty,Other-relative,Black,Female,14084,0,38,United-States,>50K +29,Private,84366,10th,6,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K +60,Private,139391,Some-college,10,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,>50K +53,Local-gov,124094,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,35,United-States,<=50K +41,Private,30759,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +32,Private,137875,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +73,?,139049,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,22,United-States,>50K +20,Private,238384,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +49,Private,340755,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +36,Local-gov,224947,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +33,State-gov,111994,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +25,Private,125491,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,34,United-States,<=50K +34,?,310525,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,10,United-States,<=50K +19,?,71592,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +40,Local-gov,99185,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,249935,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,<=50K +51,Private,206775,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +22,Private,230704,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,20,Jamaica,<=50K +34,Private,242361,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,50,United-States,<=50K +22,Private,134746,10th,6,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +34,Self-emp-inc,198613,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2002,40,United-States,<=50K +56,Private,174040,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Private,165953,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1902,40,United-States,<=50K +36,Private,273604,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,192409,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +26,Self-emp-not-inc,102476,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +48,Private,234504,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +35,Self-emp-not-inc,468713,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,84560,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,148995,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +21,Private,34816,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,12,United-States,<=50K +28,Private,211184,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +53,Private,33304,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +65,Federal-gov,179985,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,219815,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +50,Private,134766,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K +26,Private,106548,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +70,Private,89787,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K +55,Private,164857,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +27,Federal-gov,257124,Bachelors,13,Never-married,Transport-moving,Other-relative,White,Male,0,0,35,United-States,<=50K +31,Private,227446,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Cuba,>50K +43,Private,125461,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,55,United-States,>50K +24,Private,189749,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,176321,7th-8th,4,Never-married,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K +26,Private,284250,HS-grad,9,Never-married,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,101885,10th,6,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Self-emp-not-inc,134130,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +52,Private,260938,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,238184,HS-grad,9,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,40,United-States,<=50K +59,Self-emp-not-inc,148626,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +56,Self-emp-not-inc,48102,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1977,50,United-States,>50K +58,Private,234213,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,14344,0,48,United-States,>50K +65,Private,113323,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +24,Local-gov,34246,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +51,Private,175070,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,5178,0,45,United-States,>50K +31,Private,279680,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +84,Private,188328,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,16,United-States,<=50K +51,Private,96609,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Local-gov,84257,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +30,Private,275632,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +22,Private,385540,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Mexico,<=50K +30,Private,196342,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Ireland,<=50K +47,Private,97176,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,197714,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +43,Self-emp-not-inc,147099,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,36,United-States,<=50K +30,Private,186346,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +46,Private,73434,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +49,Local-gov,275074,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +37,Private,209214,5th-6th,3,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,Mexico,<=50K +42,Private,210525,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,372020,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5013,0,50,United-States,<=50K +46,Private,176684,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,210474,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +26,Private,293690,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,58,United-States,>50K +64,Private,149775,Masters,14,Never-married,Prof-specialty,Other-relative,White,Female,0,0,8,United-States,<=50K +20,Private,323009,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,Germany,<=50K +31,Private,126950,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,172538,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,40,United-States,>50K +44,Private,115411,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,101709,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,2885,0,40,United-States,<=50K +23,Private,265356,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +31,Local-gov,192565,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,90,United-States,>50K +35,Self-emp-not-inc,348771,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K +30,Self-emp-not-inc,148959,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +35,Private,126569,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +40,Private,105936,HS-grad,9,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K +18,Private,188076,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +23,Private,184400,10th,6,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,30,?,<=50K +63,Private,124242,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +20,State-gov,200819,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +50,Local-gov,100480,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +49,Private,129513,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +53,Self-emp-not-inc,297796,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,195488,HS-grad,9,Separated,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +54,Private,153486,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,56,United-States,>50K +40,Private,126845,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +22,Private,206974,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,412149,10th,6,Never-married,Farming-fishing,Other-relative,White,Male,0,0,35,Mexico,<=50K +24,Private,653574,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,El-Salvador,<=50K +37,Private,70562,1st-4th,2,Never-married,Other-service,Unmarried,White,Female,0,0,48,El-Salvador,<=50K +62,Private,197514,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,16,United-States,<=50K +19,?,309284,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Private,334679,Assoc-voc,11,Widowed,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +65,Private,105116,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,2346,0,40,United-States,<=50K +31,Private,151484,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,8,United-States,<=50K +42,Self-emp-inc,78765,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,90,United-States,>50K +42,Private,98427,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,35,United-States,<=50K +54,Private,230767,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Cuba,<=50K +23,Private,117606,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,60,United-States,<=50K +28,Private,68642,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,46,United-States,<=50K +42,Private,341638,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,65920,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +33,Federal-gov,188246,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,198727,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,160728,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,2977,0,40,United-States,<=50K +27,Private,706026,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +20,?,348148,11th,7,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +62,Private,77884,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +17,Private,160758,10th,6,Never-married,Sales,Other-relative,White,Male,0,0,30,United-States,<=50K +58,Private,201112,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,55,United-States,>50K +69,Self-emp-inc,107850,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,6514,0,40,United-States,>50K +34,Private,230246,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K +34,Private,203034,Bachelors,13,Separated,Sales,Not-in-family,White,Male,0,2824,50,United-States,>50K +20,Private,373935,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +64,Federal-gov,341695,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +27,Private,119793,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,?,<=50K +41,Private,178002,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +40,Private,233130,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,El-Salvador,<=50K +53,Local-gov,192982,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,>50K +44,Private,33155,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +37,Private,187346,5th-6th,3,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,Mexico,<=50K +46,Private,78529,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,>50K +17,Private,101626,9th,5,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,20,United-States,<=50K +35,Private,117567,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Local-gov,110791,Assoc-acdm,12,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +49,State-gov,207120,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +48,Private,43206,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,0,0,25,United-States,<=50K +26,Private,120238,Bachelors,13,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +26,Private,189219,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K +35,State-gov,190895,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,83517,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,35557,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,50,United-States,>50K +36,Local-gov,59313,Some-college,10,Separated,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K +25,Private,202033,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +18,Local-gov,55658,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +21,Private,118186,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K +22,Private,279901,HS-grad,9,Married-civ-spouse,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +52,Private,110954,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,El-Salvador,>50K +36,Self-emp-not-inc,90159,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +25,Private,122489,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,1726,60,United-States,<=50K +49,Self-emp-not-inc,43348,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,99999,0,70,United-States,>50K +42,Private,34278,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +37,Private,37778,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,54,United-States,<=50K +39,Private,160623,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,342458,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,64322,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,373914,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,205884,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K +62,Local-gov,208266,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +38,Private,222450,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +23,Private,348420,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,136081,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2051,40,United-States,<=50K +37,Federal-gov,197284,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +27,?,204773,Assoc-acdm,12,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +41,Private,206066,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,61885,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +25,Private,299908,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,>50K +35,Private,46028,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K +47,Private,239865,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,45,United-States,>50K +30,Private,154587,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K +29,Private,244473,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,2051,40,United-States,<=50K +36,Private,32334,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K +42,Private,319588,Bachelors,13,Married-spouse-absent,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +51,Private,226735,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +34,Private,226443,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +44,Self-emp-inc,359259,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,Portugal,<=50K +27,Private,36851,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,41,United-States,<=50K +39,Private,393480,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +46,Private,33109,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,1741,40,United-States,<=50K +32,Self-emp-not-inc,188246,HS-grad,9,Divorced,Sales,Own-child,White,Male,0,1590,62,United-States,<=50K +31,Private,231569,Bachelors,13,Never-married,Sales,Not-in-family,Black,Female,0,0,50,United-States,<=50K +23,Private,353010,11th,7,Never-married,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K +47,Private,102628,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K +66,Private,262285,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,99,United-States,<=50K +26,Private,160300,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +52,Private,156953,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +53,Self-emp-inc,136823,11th,7,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K +48,Self-emp-not-inc,160724,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K +37,Self-emp-inc,86459,Assoc-acdm,12,Separated,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K +17,Private,238628,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,5,United-States,<=50K +50,Private,339954,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +28,?,222005,HS-grad,9,Never-married,?,Other-relative,White,Female,0,0,40,Mexico,<=50K +17,Federal-gov,99893,11th,7,Never-married,Adm-clerical,Not-in-family,Black,Female,0,1602,40,United-States,<=50K +39,Private,214117,Some-college,10,Divorced,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K +28,Federal-gov,298661,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K +38,Private,179488,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,48343,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,40,United-States,>50K +28,Local-gov,100270,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,227065,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,32,United-States,>50K +40,Private,126701,9th,5,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +20,Private,209131,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +32,State-gov,400132,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +23,State-gov,278155,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,139012,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,2174,0,40,Vietnam,<=50K +41,Private,178431,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K +42,Private,511068,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +18,Private,199039,12th,8,Never-married,Sales,Own-child,White,Male,594,0,14,United-States,<=50K +29,Local-gov,190525,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,60,Germany,>50K +36,Private,115700,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +34,Private,167832,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,218164,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,44,United-States,<=50K +48,State-gov,171926,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +36,Self-emp-inc,242080,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,>50K +67,Federal-gov,223257,HS-grad,9,Widowed,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +53,Private,386773,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +53,Self-emp-not-inc,105478,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,40,United-States,>50K +45,Private,140644,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +22,Private,205970,10th,6,Separated,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +25,Private,216583,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,<=50K +61,Private,162432,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Local-gov,83671,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +47,Self-emp-inc,205100,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,Germany,<=50K +31,Private,195750,1st-4th,2,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +17,Private,220562,9th,5,Never-married,Sales,Other-relative,Other,Female,0,0,32,Mexico,<=50K +38,Self-emp-inc,312232,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +23,Private,386337,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,?,<=50K +42,Private,86185,Some-college,10,Widowed,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +78,Private,105586,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,36,United-States,<=50K +54,Private,103345,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +26,Local-gov,150553,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,50,United-States,<=50K +30,Private,26009,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +46,Private,149388,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +26,Private,151626,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,45,United-States,<=50K +30,Private,169583,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +66,Local-gov,174486,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Black,Male,20051,0,35,Jamaica,>50K +23,Private,160951,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,2597,0,40,United-States,<=50K +25,Private,213383,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +32,Self-emp-inc,103078,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +25,Local-gov,109526,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K +51,Private,142835,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +24,State-gov,43475,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,190916,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +28,Private,175987,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Local-gov,214385,11th,7,Divorced,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K +26,Private,192652,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +41,Federal-gov,207685,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +19,Private,143857,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +39,Private,163392,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,26,?,<=50K +51,Private,310774,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +29,?,427965,HS-grad,9,Separated,?,Unmarried,Black,Female,0,0,20,United-States,<=50K +27,Private,279608,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +33,Private,312881,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K +19,Private,175083,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K +67,?,132057,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,20,United-States,<=50K +41,Private,32878,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +29,Federal-gov,360527,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +28,Private,99478,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +25,Private,113035,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +21,Federal-gov,99199,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,36,United-States,<=50K +24,Local-gov,452640,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,14344,0,50,United-States,>50K +48,Private,236858,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,31,United-States,<=50K +46,Self-emp-inc,201865,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +35,Private,268661,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +35,Federal-gov,475324,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +50,Private,117295,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,65704,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,?,<=50K +45,Private,192835,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +62,Local-gov,76720,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +39,Local-gov,180686,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,45,United-States,>50K +33,Local-gov,133876,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +22,Private,123727,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,30,United-States,<=50K +50,Private,129956,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +25,Private,96268,11th,7,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,317320,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Private,86872,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +31,State-gov,100863,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,>50K +56,Private,164332,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,15,United-States,<=50K +49,Self-emp-not-inc,122584,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,34377,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +46,Private,162030,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,43,United-States,<=50K +33,Private,199170,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +25,Private,470203,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +40,Private,266803,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +72,?,188009,7th-8th,4,Divorced,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +32,State-gov,513416,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,10,United-States,<=50K +44,Private,98211,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +48,Private,196107,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +17,Private,108273,10th,6,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K +50,Private,213290,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,36,United-States,>50K +61,Private,96660,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,15024,0,34,United-States,>50K +22,Local-gov,412316,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +17,Private,120068,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,17,United-States,<=50K +49,Self-emp-inc,101722,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +26,Private,120268,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +19,State-gov,144429,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K +17,Private,271122,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +38,Private,255621,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +34,Local-gov,90934,Assoc-voc,11,Divorced,Protective-serv,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +51,Private,162745,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,United-States,>50K +48,Private,128460,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K +63,Private,30813,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +19,Private,164585,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +73,Private,148003,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,20051,0,36,United-States,>50K +51,Private,215647,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,43,United-States,<=50K +38,Private,300975,Masters,14,Married-civ-spouse,Other-service,Husband,Black,Male,0,1485,40,?,<=50K +54,Private,421561,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +41,Private,149909,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,40,United-States,>50K +65,?,240857,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,2377,40,United-States,>50K +36,Self-emp-not-inc,138940,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,50,United-States,>50K +42,Private,66755,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,<=50K +38,Private,103323,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +20,?,117222,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +37,State-gov,29145,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +35,State-gov,184659,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,40,United-States,>50K +51,Self-emp-not-inc,20795,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,311376,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,State-gov,122660,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K +19,?,137578,Some-college,10,Never-married,?,Own-child,White,Male,0,0,16,United-States,<=50K +37,Private,193689,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,>50K +29,Private,144556,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +33,Private,228696,1st-4th,2,Married-civ-spouse,Craft-repair,Not-in-family,White,Male,0,2603,32,Mexico,<=50K +60,Private,184183,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,4650,0,40,United-States,<=50K +22,Private,243178,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +22,?,236330,Some-college,10,Never-married,?,Own-child,Black,Male,0,1721,20,United-States,<=50K +60,State-gov,190682,Assoc-voc,11,Widowed,Other-service,Not-in-family,Black,Female,0,0,37,United-States,<=50K +35,Private,233786,11th,7,Separated,Other-service,Unmarried,White,Male,0,0,20,United-States,<=50K +45,Private,102202,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,95299,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,>50K +43,Self-emp-inc,240504,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K +32,State-gov,169973,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +35,Private,144937,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K +32,Private,211751,Assoc-voc,11,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +61,Private,84587,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +40,State-gov,150874,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,1506,0,40,United-States,<=50K +20,?,187332,10th,6,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +42,Self-emp-inc,188615,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +21,Private,119704,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +21,Private,275190,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +26,Private,417941,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,State-gov,196348,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +24,Private,221955,Bachelors,13,Married-civ-spouse,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +47,Private,173938,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,57,United-States,>50K +51,Private,123429,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Male,0,0,30,United-States,<=50K +65,?,143732,HS-grad,9,Widowed,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +61,Private,203126,Bachelors,13,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,12,?,<=50K +67,Private,174693,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,25,Nicaragua,<=50K +49,Private,357540,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K +63,?,29859,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,1485,40,United-States,>50K +58,Private,314092,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,48,United-States,>50K +61,Private,280088,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,257380,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,35,United-States,<=50K +19,Private,165306,Some-college,10,Never-married,Tech-support,Other-relative,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +29,Self-emp-not-inc,109001,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +43,Private,266439,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K +60,Self-emp-not-inc,153356,HS-grad,9,Divorced,Sales,Not-in-family,Black,Male,2597,0,55,United-States,<=50K +21,Private,32950,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K +22,Private,182163,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,188246,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +36,Private,297335,Bachelors,13,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,50,China,<=50K +37,Private,108366,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,46,United-States,<=50K +35,Private,328301,Assoc-acdm,12,Married-AF-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +17,Private,182158,10th,6,Never-married,Priv-house-serv,Own-child,White,Male,0,0,30,United-States,<=50K +37,Private,169426,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +22,?,330571,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,45,United-States,<=50K +28,Private,535978,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +42,Private,29393,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,Self-emp-inc,258883,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,60,Hungary,>50K +26,Private,369166,Some-college,10,Never-married,Farming-fishing,Other-relative,White,Female,0,0,65,United-States,<=50K +45,Local-gov,257855,11th,7,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,50,United-States,<=50K +32,Private,164197,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K +63,Private,109517,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,43,United-States,<=50K +22,Private,112137,Some-college,10,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,0,20,South,<=50K +36,Private,160035,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +45,State-gov,50567,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +34,Self-emp-not-inc,140011,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +27,State-gov,271328,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +20,?,183083,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +47,Self-emp-not-inc,159869,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,56,United-States,>50K +46,Private,102542,7th-8th,4,Never-married,Other-service,Own-child,White,Male,0,0,52,United-States,<=50K +28,Private,297742,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +45,Private,176917,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +26,Private,165235,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Thailand,<=50K +32,Self-emp-not-inc,52647,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +30,Local-gov,48542,12th,8,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +59,Private,279232,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +58,State-gov,259929,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,>50K +45,Private,221780,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K +76,Self-emp-not-inc,253408,Some-college,10,Widowed,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,298841,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +32,Private,321313,Masters,14,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,64875,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +30,Private,275232,Assoc-acdm,12,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,36,United-States,<=50K +53,Self-emp-inc,134854,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Greece,>50K +41,Private,67339,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,<=50K +27,State-gov,192355,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +44,Local-gov,208528,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +35,Private,160120,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K +36,Private,250238,1st-4th,2,Never-married,Other-service,Other-relative,Other,Female,0,0,40,El-Salvador,<=50K +51,Private,25031,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,10,United-States,>50K +42,Local-gov,255847,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +40,Self-emp-not-inc,26892,Bachelors,13,Married-AF-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K +45,Private,111979,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,408537,9th,5,Divorced,Craft-repair,Unmarried,White,Female,99999,0,37,United-States,>50K +36,Private,231037,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +57,Federal-gov,30030,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +27,Private,292120,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,45,United-States,<=50K +62,Private,138253,Masters,14,Never-married,Handlers-cleaners,Not-in-family,White,Male,4650,0,40,United-States,<=50K +29,Private,190777,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +38,Self-emp-not-inc,41591,Bachelors,13,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K +29,Private,186733,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +18,?,78567,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +19,?,140590,12th,8,Never-married,?,Own-child,Black,Male,0,0,30,United-States,<=50K +32,Local-gov,230912,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,4865,0,40,United-States,<=50K +34,Private,176185,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1741,40,United-States,<=50K +25,Private,182227,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K +34,Local-gov,205704,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +37,State-gov,24342,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,<=50K +37,Private,138192,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +18,Private,334676,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +24,Private,177526,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +17,Private,152696,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +35,Private,114765,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,265509,Assoc-voc,11,Separated,Tech-support,Unmarried,Black,Female,0,0,32,United-States,<=50K +29,Private,180758,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +49,Self-emp-not-inc,127921,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +71,?,177906,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,>50K +35,Federal-gov,182898,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +55,Self-emp-not-inc,422249,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +37,Private,222450,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +33,Local-gov,190027,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,18,United-States,<=50K +49,Private,281647,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +32,Private,117963,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +63,?,319121,11th,7,Separated,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K +39,Private,225504,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Local-gov,104334,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,El-Salvador,<=50K +30,State-gov,48214,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +30,Private,145714,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Self-emp-inc,38240,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +57,Self-emp-not-inc,27385,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,10,United-States,<=50K +56,Private,204254,10th,6,Divorced,Other-service,Unmarried,Black,Female,0,0,45,United-States,<=50K +28,Private,411587,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,Honduras,<=50K +43,Private,221172,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,24,United-States,>50K +46,Private,54190,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +60,Private,93997,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K +50,Local-gov,24139,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,65,United-States,<=50K +37,Private,112497,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +41,Private,138907,HS-grad,9,Divorced,Priv-house-serv,Other-relative,Black,Female,0,0,40,United-States,<=50K +38,Private,186325,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,38,United-States,>50K +23,Private,199452,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +59,Private,126677,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +72,Private,107814,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,2329,0,60,United-States,<=50K +47,Local-gov,93618,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,33,United-States,<=50K +29,Private,353352,Assoc-voc,11,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +35,Private,143058,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +24,Private,239663,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,15,United-States,<=50K +22,Private,167615,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,442274,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,149210,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,45,United-States,>50K +55,Federal-gov,174533,Bachelors,13,Separated,Other-service,Unmarried,White,Female,0,0,72,?,<=50K +40,State-gov,50093,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,20,United-States,<=50K +61,Private,270056,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Japan,<=50K +58,Self-emp-not-inc,131991,Bachelors,13,Never-married,Farming-fishing,Own-child,White,Male,0,0,72,United-States,<=50K +39,State-gov,126336,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,341117,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +25,Private,108505,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K +69,?,106566,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K +36,Private,74791,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Male,0,0,60,?,<=50K +34,Private,24266,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +45,Private,267967,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +27,?,181284,12th,8,Married-civ-spouse,?,Husband,Black,Male,0,0,45,United-States,<=50K +28,Private,102533,Some-college,10,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +27,Private,69757,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +41,State-gov,210094,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,State-gov,389147,HS-grad,9,Never-married,Sales,Not-in-family,Black,Female,0,0,30,United-States,<=50K +44,Private,210648,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +47,Private,94809,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K +36,Local-gov,298717,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +66,Private,236879,Preschool,1,Widowed,Priv-house-serv,Other-relative,White,Female,0,0,40,Guatemala,<=50K +33,Private,170148,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +39,Local-gov,166497,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,>50K +30,Private,247156,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K +34,Self-emp-not-inc,204052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +62,Self-emp-not-inc,122246,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K +21,Private,180339,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +50,Self-emp-inc,155574,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K +30,Private,114912,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,60,United-States,>50K +43,Private,193882,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +19,Private,112269,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +26,Federal-gov,171928,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,50,Japan,<=50K +50,Private,95435,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1579,65,Canada,<=50K +45,Federal-gov,179638,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +46,Self-emp-inc,125892,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +17,Private,721712,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +56,Private,197369,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +25,Private,353795,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,3103,0,40,United-States,>50K +47,Private,334679,Masters,14,Separated,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Female,0,0,42,India,<=50K +23,Private,235853,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +51,Self-emp-not-inc,353281,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +19,Private,203061,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,25,United-States,<=50K +33,Self-emp-not-inc,62932,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,118551,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,80,United-States,<=50K +52,Private,99184,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,189674,Some-college,10,Separated,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K +34,Private,226883,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,?,109564,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +26,Self-emp-inc,66872,12th,8,Married-civ-spouse,Sales,Husband,Other,Male,0,0,98,Dominican-Republic,<=50K +35,Local-gov,268292,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +58,Federal-gov,139290,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +32,Private,206541,11th,7,Divorced,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +23,Private,203139,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +28,Self-emp-not-inc,294398,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +20,Private,386864,10th,6,Never-married,Other-service,Other-relative,White,Male,0,0,35,Mexico,<=50K +17,Private,369909,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +56,Private,89922,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,45,United-States,>50K +26,Private,176008,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +43,State-gov,241506,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,1506,0,36,United-States,<=50K +45,Self-emp-not-inc,174426,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +34,Private,167497,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,50,United-States,>50K +54,Private,292673,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,Mexico,<=50K +51,Local-gov,134808,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +58,Self-emp-not-inc,95763,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +49,Private,83622,Assoc-acdm,12,Separated,Adm-clerical,Not-in-family,White,Female,2597,0,40,United-States,<=50K +21,Private,222490,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +44,Private,29115,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,66638,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +39,Private,53926,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +19,?,43739,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,104359,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,124604,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,32,United-States,<=50K +45,Private,114797,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +60,Federal-gov,67320,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +28,Federal-gov,53147,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +23,Private,13769,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K +44,Private,202872,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +19,State-gov,149528,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,12,United-States,<=50K +37,Private,132879,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +41,Self-emp-not-inc,112362,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,38,United-States,<=50K +56,Federal-gov,156229,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +44,Private,131650,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,54,United-States,>50K +30,Private,154568,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,36,Vietnam,>50K +23,Private,132300,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,124747,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,3103,0,40,United-States,>50K +38,Private,276559,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,70,United-States,>50K +32,Private,106014,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5178,0,50,United-States,>50K +57,Self-emp-not-inc,135134,Masters,14,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,20,United-States,<=50K +35,Private,86648,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +48,Self-emp-not-inc,107231,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K +32,Local-gov,113838,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,99,United-States,<=50K +76,Federal-gov,25319,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,15,United-States,<=50K +57,Local-gov,190561,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,Black,Female,0,0,30,United-States,<=50K +58,?,150031,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Private,48343,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K +50,Private,211116,10th,6,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +38,Private,226311,HS-grad,9,Married-AF-spouse,Other-service,Wife,White,Female,0,0,25,United-States,<=50K +53,Private,283743,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2002,40,United-States,<=50K +59,Self-emp-not-inc,64102,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +23,Private,234663,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +44,Private,247880,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,8614,0,40,United-States,>50K +23,Private,615367,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,163090,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +44,Private,192225,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +30,Private,370183,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,242482,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,169953,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Local-gov,144182,Preschool,1,Never-married,Adm-clerical,Own-child,Black,Female,0,0,25,United-States,<=50K +38,Private,125933,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,27828,0,45,United-States,>50K +26,Private,203777,Some-college,10,Never-married,Sales,Not-in-family,Black,Female,0,0,37,United-States,<=50K +39,Private,210991,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,472580,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K +33,State-gov,200289,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,19,India,<=50K +43,Private,289669,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,2547,40,United-States,>50K +30,Private,110622,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,China,<=50K +59,State-gov,139616,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +26,Private,39212,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +28,Private,51961,Some-college,10,Never-married,Tech-support,Own-child,Black,Male,0,0,24,United-States,<=50K +48,Self-emp-not-inc,117849,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Private,50748,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,1506,0,35,United-States,<=50K +41,Self-emp-not-inc,170214,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,2179,40,United-States,<=50K +20,Private,151790,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +49,Private,168211,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +37,State-gov,117651,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,<=50K +18,Private,157131,12th,8,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K +61,Private,225970,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +26,Private,177951,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,<=50K +66,Private,134130,Bachelors,13,Widowed,Other-service,Not-in-family,White,Male,0,0,12,United-States,<=50K +68,Private,191581,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,3273,0,40,United-States,<=50K +27,Local-gov,199172,HS-grad,9,Married-civ-spouse,Protective-serv,Wife,White,Female,0,0,40,United-States,<=50K +66,Self-emp-not-inc,262552,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,7,United-States,<=50K +28,Private,66434,10th,6,Never-married,Other-service,Unmarried,White,Female,0,0,15,United-States,<=50K +26,Private,77661,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,?,230856,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +46,Private,192835,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K +62,?,181014,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,200445,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,1974,40,United-States,<=50K +26,Self-emp-not-inc,37918,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K +40,Private,111020,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,244665,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,Honduras,<=50K +52,Private,312477,HS-grad,9,Widowed,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +61,Self-emp-not-inc,243493,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,12,United-States,<=50K +39,State-gov,152023,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,104193,HS-grad,9,Never-married,Other-service,Own-child,White,Female,114,0,40,United-States,<=50K +47,Private,170850,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,<=50K +33,Private,137088,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Ecuador,<=50K +17,Private,340557,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +26,Private,298225,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +25,Private,114150,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +39,Self-emp-not-inc,194668,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,16,United-States,<=50K +33,Private,188246,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,45,United-States,>50K +46,Federal-gov,330901,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K +27,Private,80165,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +48,Private,83444,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +29,Self-emp-not-inc,85572,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,5,United-States,<=50K +40,Private,116632,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,139989,Bachelors,13,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K +55,Private,135803,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Other,Male,0,1579,35,India,<=50K +56,Private,75785,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +25,Private,248612,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +36,Private,28572,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +26,Self-emp-not-inc,31143,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +37,Private,216924,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,44,United-States,>50K +36,Private,549174,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Self-emp-not-inc,111296,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,50,Mexico,<=50K +25,Private,208881,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +36,State-gov,243666,HS-grad,9,Divorced,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +37,Self-emp-not-inc,327164,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,?,<=50K +39,Self-emp-inc,131288,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,5178,0,48,United-States,>50K +35,Private,257416,Assoc-voc,11,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +33,Private,215288,11th,7,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +31,Private,58582,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,46,United-States,<=50K +49,Private,199378,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,22,United-States,<=50K +34,Self-emp-not-inc,114185,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,?,<=50K +40,Private,137421,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,60,Trinadad&Tobago,<=50K +27,Private,216481,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +50,Self-emp-not-inc,196504,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,23,United-States,<=50K +38,Private,357870,12th,8,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,50,United-States,<=50K +55,State-gov,256335,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,168191,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,70,Italy,<=50K +40,Private,215596,Bachelors,13,Married-spouse-absent,Other-service,Not-in-family,Other,Male,0,0,40,Mexico,<=50K +42,Private,184682,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,30,United-States,<=50K +51,Private,171914,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +27,Private,288229,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,50,Laos,<=50K +30,State-gov,144064,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +70,?,54849,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,>50K +40,Private,141583,10th,6,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +43,Self-emp-not-inc,180985,Bachelors,13,Separated,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K +24,Private,148709,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,?,174626,7th-8th,4,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,184801,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +52,Private,89054,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,147284,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +33,Private,169973,Assoc-voc,11,Separated,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,222993,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,41099,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +31,Private,33117,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +29,Private,162551,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,Hong,>50K +49,Private,122066,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,2603,40,Greece,<=50K +61,?,42938,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,7,United-States,>50K +46,Private,389843,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Germany,>50K +37,Private,138940,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +56,Federal-gov,141877,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +37,Private,172722,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Self-emp-not-inc,118523,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,227886,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K +36,Private,80743,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,40,South,<=50K +52,Private,199688,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +40,Private,225823,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +21,Private,176486,HS-grad,9,Married-spouse-absent,Exec-managerial,Other-relative,White,Female,0,0,60,United-States,<=50K +63,Private,175777,10th,6,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +30,Private,295010,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,437825,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,Peru,<=50K +50,Private,270194,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +41,Private,242089,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +39,Self-emp-inc,117555,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +23,Private,146499,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,48,United-States,<=50K +52,Private,222405,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,2377,40,United-States,<=50K +17,?,216595,11th,7,Never-married,?,Own-child,Black,Female,0,0,20,United-States,<=50K +46,Private,157991,Assoc-voc,11,Divorced,Tech-support,Unmarried,Black,Female,0,625,40,United-States,<=50K +26,Private,373553,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,42,United-States,<=50K +30,Private,194827,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K +23,Private,60331,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +21,State-gov,96483,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,12,United-States,<=50K +39,Private,211154,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +37,Local-gov,247750,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K +40,Self-emp-not-inc,204235,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K +38,Private,197113,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,20,United-States,<=50K +47,Private,178341,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,4064,0,60,United-States,<=50K +20,Private,293297,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +35,Private,35330,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +62,State-gov,202056,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,14084,0,40,United-States,>50K +32,Private,61898,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,15,United-States,<=50K +42,Self-emp-inc,1097453,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +32,Private,176992,10th,6,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +27,Private,295289,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,30,United-States,<=50K +53,Self-emp-inc,298215,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +28,Self-emp-not-inc,209934,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,25,Mexico,<=50K +26,Private,164938,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,423222,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +23,Private,124259,Some-college,10,Never-married,Protective-serv,Own-child,Black,Female,0,0,40,United-States,<=50K +70,Self-emp-inc,232871,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K +41,State-gov,73199,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +43,State-gov,27661,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +65,Private,461715,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,25,?,<=50K +40,Self-emp-not-inc,89413,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,40,United-States,<=50K +64,Self-emp-not-inc,31826,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +40,Private,279679,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +43,Private,221172,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K +50,Federal-gov,222020,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,<=50K +19,?,181265,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +32,Self-emp-not-inc,261056,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,2174,0,60,?,<=50K +32,Private,204792,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,384508,11th,7,Divorced,Sales,Unmarried,White,Male,1506,0,50,Mexico,<=50K +41,Private,288568,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +30,Private,182714,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,England,<=50K +20,Private,471452,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +45,State-gov,264052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,146659,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K +24,Private,203027,Assoc-acdm,12,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,218309,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +28,Private,133625,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +35,Private,45937,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,?,389850,HS-grad,9,Married-spouse-absent,?,Unmarried,Black,Male,0,0,50,United-States,<=50K +38,Federal-gov,201617,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Local-gov,114733,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K +50,State-gov,97778,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,149507,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +35,Private,82622,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,48014,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,France,<=50K +61,State-gov,162678,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,213842,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,38,United-States,<=50K +61,Private,221447,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +18,Private,426836,5th-6th,3,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K +31,Local-gov,206609,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +31,Private,50276,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +20,Private,180497,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +35,Private,220585,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,202752,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +43,Private,75993,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K +18,Private,170544,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +55,Private,115439,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K +59,Private,24384,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,209067,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,65225,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +60,Federal-gov,27466,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,England,<=50K +49,Federal-gov,179869,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +21,Private,442131,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +61,Private,243283,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +64,Private,316627,5th-6th,3,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +63,Private,208862,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Federal-gov,38645,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,141272,Bachelors,13,Never-married,Other-service,Own-child,Black,Female,0,0,30,United-States,<=50K +41,State-gov,29324,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +18,?,348588,12th,8,Never-married,?,Own-child,Black,Male,0,0,25,United-States,<=50K +40,Private,124747,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,7298,0,40,United-States,>50K +55,Self-emp-not-inc,477867,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +17,Private,218361,10th,6,Never-married,Other-service,Own-child,White,Female,0,1602,12,United-States,<=50K +34,Self-emp-not-inc,156809,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,1504,60,United-States,<=50K +24,Private,267945,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +30,Private,35724,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +29,Private,187188,Masters,14,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,60,United-States,<=50K +52,Private,155983,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +57,Federal-gov,414994,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,Private,103474,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,45,United-States,<=50K +43,Private,211128,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +61,Private,203445,Some-college,10,Widowed,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +38,Private,38312,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,65,United-States,>50K +51,Private,178241,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K +40,Private,260761,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K +41,Local-gov,36924,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +19,Private,292590,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +28,Private,461929,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +59,Private,189664,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +32,State-gov,190577,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +31,Private,344200,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +30,Private,337494,Assoc-acdm,12,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,48,United-States,<=50K +54,Self-emp-not-inc,52634,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,194901,Assoc-voc,11,Separated,Craft-repair,Not-in-family,White,Male,0,2444,42,United-States,>50K +20,Private,170091,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +27,?,189399,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Self-emp-not-inc,205072,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K +35,Private,310290,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,Black,Female,0,0,40,United-States,<=50K +27,Private,134048,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +40,Private,91959,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,46,United-States,>50K +34,Private,153942,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +34,Local-gov,234096,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +38,Private,185330,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,25,United-States,<=50K +28,Private,163772,HS-grad,9,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,United-States,<=50K +65,Private,83800,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,27,United-States,<=50K +61,Private,139391,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,16,United-States,<=50K +18,Private,478380,11th,7,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +35,Self-emp-inc,186845,Bachelors,13,Married-civ-spouse,Sales,Own-child,White,Male,5178,0,50,United-States,>50K +45,Private,262802,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +68,?,152157,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +25,Private,114483,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +48,Private,118023,Prof-school,15,Divorced,Sales,Not-in-family,White,Male,0,0,13,United-States,<=50K +19,Private,220101,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,219424,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,50,United-States,>50K +54,Private,186117,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +47,Self-emp-not-inc,479611,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +25,Private,80312,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,4865,0,40,United-States,<=50K +30,Private,108386,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +67,?,125926,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +35,Private,177102,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Private,190762,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,18,United-States,<=50K +61,Private,180632,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,88019,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,32,United-States,<=50K +50,Private,135339,12th,8,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,>50K +32,Private,100662,9th,5,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,Columbia,<=50K +34,Private,183557,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,25,United-States,<=50K +36,Private,160035,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,306790,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +28,Private,269246,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,308334,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,19,United-States,<=50K +58,Private,215190,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +27,Private,419146,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,75,Mexico,<=50K +62,Private,176839,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,<=50K +36,Self-emp-inc,184456,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,27828,0,55,United-States,>50K +21,Local-gov,309348,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,594,0,4,United-States,<=50K +41,Private,56795,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,England,<=50K +28,Private,201861,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +33,Private,179509,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,291755,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +19,Private,243941,Some-college,10,Never-married,Sales,Own-child,Amer-Indian-Eskimo,Female,0,1721,25,United-States,<=50K +76,Self-emp-not-inc,117169,7th-8th,4,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,30,United-States,<=50K +25,?,100903,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,25,United-States,<=50K +34,Private,159322,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +40,Private,262872,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,187052,11th,7,Never-married,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +17,Private,277583,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K +55,Private,169071,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +51,Local-gov,96190,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +26,Private,61603,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,Other,Male,0,0,40,Mexico,<=50K +44,Private,43711,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K +65,?,197883,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,70,United-States,<=50K +54,Private,99434,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +34,Self-emp-not-inc,177639,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,201723,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +26,Private,222248,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,70,United-States,<=50K +39,Private,86143,5th-6th,3,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +46,?,228620,11th,7,Widowed,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +34,Private,346034,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,El-Salvador,<=50K +59,Private,87510,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,37932,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K +34,Private,185063,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +62,?,125493,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,5178,0,40,Scotland,>50K +51,Private,159755,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +34,Private,108837,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +47,Private,110669,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K +21,?,220115,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +30,Self-emp-not-inc,45427,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,49,United-States,<=50K +38,Private,154669,HS-grad,9,Separated,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +45,Private,261278,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,5178,0,40,Philippines,>50K +23,Private,71864,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +34,Private,173495,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +22,Private,254293,12th,8,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,111883,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +50,Private,146429,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,472807,1st-4th,2,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,52,Mexico,<=50K +28,Private,285294,Bachelors,13,Married-civ-spouse,Sales,Wife,Black,Female,15024,0,45,United-States,>50K +23,Private,184665,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +35,Private,205852,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,83879,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +27,Private,178564,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +46,Self-emp-inc,168796,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +27,Private,269444,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,47353,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +34,Self-emp-inc,29254,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K +33,Private,155343,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +36,Private,234271,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,257849,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +23,Private,228230,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,47,United-States,<=50K +36,Private,227615,5th-6th,3,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,32,Mexico,<=50K +29,Private,406826,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +50,Self-emp-not-inc,27539,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,7688,0,40,United-States,>50K +19,Private,97261,12th,8,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,?,232022,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +52,Federal-gov,168539,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +20,Private,515797,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,351381,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,161018,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +60,Private,26721,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,164123,11th,7,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +59,Self-emp-not-inc,98418,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K +36,Private,29814,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Male,0,0,50,United-States,<=50K +25,Private,254613,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,Cuba,<=50K +49,Private,207677,7th-8th,4,Divorced,Craft-repair,Not-in-family,White,Male,0,0,70,United-States,<=50K +25,Self-emp-not-inc,217030,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +50,Private,171199,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,198270,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,43,United-States,<=50K +28,?,131310,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,79923,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K +40,Self-emp-inc,475322,Bachelors,13,Separated,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +56,Private,134286,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +56,Self-emp-not-inc,73746,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +23,Private,125525,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,42,United-States,<=50K +38,?,155676,HS-grad,9,Divorced,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +21,Private,304949,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K +67,Private,150516,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,24,United-States,<=50K +54,State-gov,249096,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +50,Local-gov,164127,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +59,Private,304779,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,157043,11th,7,Widowed,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K +30,Private,396538,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,29,United-States,<=50K +42,Private,510072,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +64,?,200017,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +61,?,60641,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,45,United-States,<=50K +26,Private,89326,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,200471,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,4064,0,40,United-States,<=50K +78,Self-emp-not-inc,82815,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,3,United-States,>50K +24,Self-emp-not-inc,117210,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +27,Private,202206,11th,7,Separated,Farming-fishing,Other-relative,White,Male,0,0,40,Puerto-Rico,<=50K +51,Private,123429,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +46,Private,353512,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +55,Self-emp-not-inc,26683,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +20,Private,204641,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,225053,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +36,?,98776,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +19,Private,263932,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +30,Private,108247,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +31,Self-emp-not-inc,369648,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K +26,Private,339324,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,96,United-States,<=50K +59,?,145574,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,>50K +53,Private,317313,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +24,Local-gov,162919,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,186314,Some-college,10,Separated,Prof-specialty,Own-child,White,Male,0,0,54,United-States,<=50K +36,Private,254202,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +39,Private,108140,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +53,Private,287317,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Male,0,0,32,United-States,<=50K +75,Self-emp-inc,81534,HS-grad,9,Widowed,Sales,Other-relative,Asian-Pac-Islander,Male,0,0,35,United-States,>50K +36,Private,35945,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +46,Self-emp-inc,204928,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +56,Self-emp-inc,208809,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K +29,Private,133625,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +60,Private,71683,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,49,United-States,<=50K +58,Private,570562,HS-grad,9,Widowed,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K +67,Self-emp-not-inc,36876,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K +35,Private,253006,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,38,United-States,>50K +39,Self-emp-not-inc,50096,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K +37,Private,336880,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +54,?,135840,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K +63,Self-emp-not-inc,168048,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +47,Private,187969,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K +23,Private,117363,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +55,Private,256526,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,4865,0,45,United-States,<=50K +49,Private,304416,11th,7,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +39,Private,248011,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,40,United-States,>50K +23,Private,229826,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,159796,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K +44,Private,165346,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +25,Private,25386,Assoc-voc,11,Never-married,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +35,Private,491000,Assoc-voc,11,Divorced,Prof-specialty,Own-child,Black,Male,0,0,40,United-States,<=50K +23,Local-gov,247731,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,Cuba,<=50K +48,Private,180532,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,189462,Some-college,10,Divorced,Handlers-cleaners,Own-child,White,Male,2176,0,40,United-States,<=50K +44,Private,419134,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +55,Self-emp-not-inc,170166,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,<=50K +33,Self-emp-not-inc,173495,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +18,Private,423024,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +24,Private,72119,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,2202,0,30,United-States,<=50K +32,Local-gov,19302,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,England,>50K +24,State-gov,257621,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +44,Self-emp-inc,118212,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,70,United-States,>50K +27,Private,259840,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +39,Private,115289,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,France,>50K +26,Local-gov,159662,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,379798,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,Private,227945,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,65,United-States,>50K +41,State-gov,36999,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,75,United-States,>50K +73,?,131982,Bachelors,13,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,5,Vietnam,<=50K +32,Self-emp-inc,124052,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +56,Local-gov,273084,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +59,Private,170104,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +44,Private,96249,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +35,Private,140915,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,1590,40,South,<=50K +52,Private,230657,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,3781,0,40,Columbia,<=50K +30,Private,195576,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,3325,0,50,United-States,<=50K +23,Private,117767,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,112763,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,8614,0,43,United-States,>50K +61,Private,79827,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,103925,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +68,Private,161744,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,16,United-States,<=50K +41,Private,106679,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,27828,0,50,United-States,>50K +42,Self-emp-not-inc,196514,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,?,61985,9th,5,Separated,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K +19,Private,157605,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,137367,11th,7,Married-spouse-absent,Handlers-cleaners,Not-in-family,Asian-Pac-Islander,Male,0,0,40,India,<=50K +40,Self-emp-inc,110862,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2377,50,United-States,<=50K +32,Private,74883,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +51,Self-emp-inc,98642,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,14084,0,40,United-States,>50K +44,Local-gov,144778,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +23,Private,177787,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,30,England,<=50K +30,?,103651,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K +44,Private,162108,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +24,Private,217602,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +34,Private,473133,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +17,Private,113301,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,?,<=50K +61,Private,80896,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,45,India,>50K +30,Local-gov,168387,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,38950,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,107801,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +49,Private,191277,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,205359,Assoc-acdm,12,Widowed,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +39,?,240226,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K +34,Private,203357,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +52,Local-gov,153064,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +24,Private,202959,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,105150,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +19,Private,238474,11th,7,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,1085515,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +25,Private,82560,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,43,United-States,<=50K +71,Private,55965,7th-8th,4,Widowed,Transport-moving,Not-in-family,White,Male,0,0,10,United-States,<=50K +27,Private,161087,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,<=50K +28,Private,261278,Assoc-voc,11,Never-married,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K +54,Private,182187,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,Black,Male,15024,0,38,Jamaica,>50K +18,Private,138917,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,10,United-States,<=50K +49,Private,200198,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +36,Private,205359,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +57,Private,250201,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Male,0,0,50,United-States,<=50K +56,Federal-gov,67153,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Portugal,>50K +17,Private,244523,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +30,Private,236599,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +41,Private,108713,10th,6,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +26,Private,177147,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +61,Private,129246,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +50,?,222381,Some-college,10,Divorced,?,Unmarried,White,Male,0,0,40,United-States,<=50K +24,Private,145111,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K +44,Private,62258,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,State-gov,108293,Masters,14,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K +61,?,167284,7th-8th,4,Widowed,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +25,Private,97789,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K +34,Private,111415,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K +38,Private,374524,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,287244,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +17,?,341395,10th,6,Never-married,?,Own-child,Black,Male,0,0,20,United-States,<=50K +48,Private,278039,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,98360,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +52,Private,317032,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +55,State-gov,294395,Assoc-voc,11,Widowed,Prof-specialty,Unmarried,White,Female,6849,0,40,United-States,<=50K +41,Self-emp-not-inc,240900,HS-grad,9,Divorced,Farming-fishing,Other-relative,White,Male,0,0,20,United-States,<=50K +45,Private,32896,5th-6th,3,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,35,United-States,<=50K +49,Private,97411,7th-8th,4,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,45,Laos,<=50K +19,Private,72355,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K +39,Private,342448,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +43,Private,187702,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,2174,0,45,United-States,<=50K +42,Private,303388,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K +17,Private,112291,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K +30,Private,208668,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,25,United-States,<=50K +61,Local-gov,28375,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,70,United-States,<=50K +48,Private,207277,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +60,?,88675,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,47857,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +27,Private,372500,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,Mexico,<=50K +24,Private,190968,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +41,Private,37997,12th,8,Divorced,Transport-moving,Not-in-family,White,Male,0,0,84,United-States,>50K +42,Private,257328,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +34,Private,127610,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K +22,?,139324,9th,5,Never-married,?,Unmarried,Black,Female,0,0,36,United-States,<=50K +47,Private,164423,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,43,United-States,<=50K +50,Private,104501,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,1980,40,United-States,<=50K +30,Private,56121,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,296212,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +31,Private,157640,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +44,Private,222504,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,45,United-States,>50K +34,Private,261023,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1651,38,United-States,<=50K +52,Private,146567,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Male,14344,0,40,United-States,>50K +34,Private,116910,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +31,Private,132601,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +68,Private,185537,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +22,Private,500720,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K +42,Private,182108,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +37,Private,231491,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +36,Self-emp-not-inc,239415,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +38,Private,179262,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K +72,Without-pay,121004,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,55,United-States,<=50K +40,Private,252392,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +19,Private,163578,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +55,Private,143266,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Hungary,>50K +30,Private,285902,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,113094,Bachelors,13,Separated,Adm-clerical,Unmarried,White,Female,0,1092,40,United-States,<=50K +29,Private,278637,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,3103,0,45,United-States,>50K +41,Private,174540,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,4,United-States,<=50K +29,Private,188729,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +24,Private,72143,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +46,Self-emp-not-inc,328216,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +44,Private,165815,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +17,Private,317702,10th,6,Never-married,Sales,Own-child,Black,Female,0,0,15,United-States,<=50K +35,Private,215323,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +38,Private,192939,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +36,Private,156352,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,155066,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K +38,Self-emp-not-inc,152621,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K +19,Private,298891,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,40,Honduras,<=50K +30,Private,193298,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +36,Local-gov,150309,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +27,Private,384308,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +27,Private,305647,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +66,?,182378,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K +65,Federal-gov,23494,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,2174,40,United-States,>50K +37,Private,421633,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,>50K +17,Private,57723,11th,7,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +19,?,307837,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +57,Private,103540,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,<=50K +54,Self-emp-not-inc,136224,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +21,Private,231573,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,242804,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,163671,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,287701,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,>50K +31,Private,187560,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +41,Private,222504,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K +20,Private,41356,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,59335,Bachelors,13,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,15,United-States,<=50K +62,Private,84756,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K +41,Private,407425,12th,8,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +37,Private,162424,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +53,Self-emp-not-inc,175456,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +28,Private,52603,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +23,Private,250630,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +46,Self-emp-not-inc,233974,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +28,Private,376302,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +50,Private,195638,10th,6,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,225775,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,Mexico,<=50K +84,Private,388384,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,10,United-States,<=50K +48,Self-emp-not-inc,219021,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +61,Self-emp-not-inc,168654,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +44,Private,180609,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,<=50K +32,Private,114746,HS-grad,9,Separated,Handlers-cleaners,Unmarried,Asian-Pac-Islander,Female,0,0,60,South,<=50K +25,Private,178037,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K +47,State-gov,160045,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,268524,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +37,Private,174844,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,17,United-States,<=50K +28,Private,82488,HS-grad,9,Divorced,Tech-support,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +34,Private,221167,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +32,Self-emp-not-inc,48014,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +24,Private,217226,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +22,?,177902,Some-college,10,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,25,United-States,<=50K +30,Private,39386,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,99,United-States,<=50K +56,Private,37394,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,115426,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +28,Private,114158,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,26,United-States,<=50K +40,Private,119101,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,68,United-States,>50K +28,Private,360527,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +39,Private,225544,12th,8,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,108438,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +23,Private,230315,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Dominican-Republic,<=50K +32,Private,158002,Some-college,10,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,55,Ecuador,<=50K +37,Private,179468,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +71,Private,99894,5th-6th,3,Widowed,Priv-house-serv,Not-in-family,Asian-Pac-Islander,Female,0,0,75,United-States,<=50K +30,Private,270889,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +20,Private,42279,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Federal-gov,167380,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1740,50,United-States,<=50K +42,Private,274913,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,45,United-States,<=50K +44,Private,35910,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,56,United-States,>50K +26,Private,68001,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,27162,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +37,Self-emp-not-inc,286146,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +36,Local-gov,95462,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,50103,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +54,Private,511668,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,43,United-States,>50K +38,Self-emp-inc,189679,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +29,Private,115064,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,State-gov,215443,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,38,United-States,<=50K +32,Private,174789,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,50,United-States,<=50K +24,Private,91999,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,20,United-States,<=50K +59,Federal-gov,100931,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +56,Self-emp-not-inc,119069,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +40,Self-emp-not-inc,277488,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,84,United-States,<=50K +35,Private,265662,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +38,Private,114591,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,40,United-States,>50K +24,Private,227594,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +30,Private,129707,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1848,40,United-States,>50K +61,?,175032,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,133569,1st-4th,2,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Mexico,<=50K +20,Local-gov,308654,Some-college,10,Never-married,Protective-serv,Own-child,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K +36,Private,156084,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +45,Federal-gov,380127,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,210781,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +31,Private,189759,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,2001,40,United-States,<=50K +34,Private,258675,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,223367,11th,7,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +42,?,204817,9th,5,Never-married,?,Own-child,Black,Male,0,0,35,United-States,<=50K +23,Private,409230,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K +46,Federal-gov,308077,Prof-school,15,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,Germany,>50K +60,Private,159049,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,Germany,>50K +40,Private,353142,Some-college,10,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +55,Private,143030,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,304857,Masters,14,Separated,Tech-support,Not-in-family,White,Male,27828,0,40,United-States,>50K +28,Private,30912,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,43,United-States,<=50K +55,Private,125000,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +47,Private,181363,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +54,Private,338620,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,United-States,>50K +32,Private,115989,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,60,United-States,<=50K +38,Private,111128,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +61,Self-emp-not-inc,201273,Some-college,10,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +62,Self-emp-inc,137354,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K +29,Private,133420,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K +26,Private,192208,HS-grad,9,Never-married,Protective-serv,Not-in-family,Black,Female,0,0,32,United-States,<=50K +19,Private,220001,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K +40,Private,352612,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,169426,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K +42,Private,319016,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,2885,0,45,United-States,<=50K +55,Private,119751,Masters,14,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,0,40,Thailand,<=50K +55,Private,202220,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,2407,0,35,United-States,<=50K +43,Self-emp-not-inc,99220,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +39,Private,111275,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Federal-gov,261241,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +28,Private,261725,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K +36,Private,182013,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Private,40666,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +41,Private,216461,Some-college,10,Divorced,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +60,Private,320376,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +35,Private,282951,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +36,State-gov,166697,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Private,290856,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +23,Private,455361,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Guatemala,<=50K +51,Private,82783,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,56536,11th,7,Never-married,Sales,Own-child,White,Female,1055,0,18,India,<=50K +33,Self-emp-not-inc,109959,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K +50,Private,177927,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,192337,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +18,Private,236272,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +26,Private,33610,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,209483,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,47,United-States,<=50K +26,Private,247006,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,United-States,<=50K +30,Local-gov,311913,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +39,?,204756,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +33,Local-gov,300681,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +42,State-gov,24264,Some-college,10,Divorced,Transport-moving,Unmarried,White,Male,0,0,38,United-States,<=50K +28,Private,266070,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +20,Private,226978,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +66,Local-gov,362165,Bachelors,13,Widowed,Prof-specialty,Not-in-family,Black,Female,0,2206,25,United-States,<=50K +31,Private,341672,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,50,India,<=50K +36,Private,179488,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,Canada,<=50K +39,Federal-gov,243872,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +52,Private,259583,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,159822,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,Poland,>50K +27,Private,219863,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,206947,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +21,Private,245572,9th,5,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +25,Private,38488,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +24,Private,182504,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +38,Private,193815,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,Italy,<=50K +51,?,521665,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K +29,Private,46442,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,50,United-States,>50K +45,Private,60267,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +59,Private,264357,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +41,Private,191814,HS-grad,9,Married-civ-spouse,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,107882,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +43,Private,174575,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +17,Private,143331,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +32,Private,126132,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +42,Private,198619,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +68,Private,211287,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2392,40,United-States,>50K +55,Federal-gov,238192,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,1887,40,United-States,>50K +43,Private,257780,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,183355,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +28,Private,148429,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,71221,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,60,United-States,<=50K +21,Self-emp-not-inc,236769,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,32146,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,347491,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,1876,46,United-States,<=50K +34,Private,180714,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,2179,40,United-States,<=50K +57,?,188877,9th,5,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,306747,Bachelors,13,Divorced,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +21,State-gov,478457,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,12,United-States,<=50K +25,Private,248990,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Mexico,<=50K +51,Self-emp-inc,46281,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +35,Private,148015,Bachelors,13,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K +19,Private,278115,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K +27,Private,190525,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,55,United-States,>50K +34,Private,176673,Some-college,10,Never-married,Sales,Other-relative,Black,Female,0,0,35,United-States,<=50K +33,?,202366,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,32,United-States,<=50K +36,Private,238415,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,37939,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +60,Self-emp-not-inc,35649,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,383493,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +47,Federal-gov,204900,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,<=50K +42,Private,20809,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,75,United-States,>50K +34,Private,148207,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +21,Private,200153,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K +30,Private,169496,Masters,14,Married-civ-spouse,Other-service,Husband,White,Male,0,0,15,United-States,>50K +53,Private,22978,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K +34,Private,366898,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,<=50K +37,Private,324947,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,321577,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +31,Private,241360,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,207564,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +33,Private,220860,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +41,Local-gov,336571,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +23,State-gov,56402,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +65,Private,180280,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +30,Private,81282,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Private,86332,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,4064,0,55,United-States,<=50K +30,Local-gov,27051,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +49,Private,287647,Masters,14,Divorced,Sales,Not-in-family,White,Male,4787,0,45,United-States,>50K +37,Self-emp-not-inc,183735,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,3137,0,30,United-States,<=50K +42,Private,100800,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +62,Private,155094,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K +67,?,102693,HS-grad,9,Widowed,?,Not-in-family,White,Male,1086,0,35,United-States,<=50K +31,Private,151053,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,40,United-States,>50K +50,Private,548361,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,>50K +33,Private,173858,Bachelors,13,Married-civ-spouse,Adm-clerical,Other-relative,Asian-Pac-Islander,Male,0,0,40,India,<=50K +27,Private,347153,Some-college,10,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K +31,Private,319146,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,Mexico,>50K +35,Private,197719,Some-college,10,Never-married,Machine-op-inspct,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +55,Private,197114,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,6,United-States,>50K +54,Self-emp-not-inc,109418,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1977,35,United-States,>50K +56,Private,182062,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,>50K +21,Private,184543,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +66,Private,175558,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,20,Germany,<=50K +46,Private,122026,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,340543,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K +43,Private,101950,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +40,Private,179508,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K +52,Private,225317,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +59,Local-gov,53304,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +36,Local-gov,282602,Assoc-voc,11,Separated,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +33,Private,184016,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,250165,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,196467,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,35,United-States,<=50K +59,?,220783,10th,6,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Self-emp-not-inc,178780,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +62,Private,65868,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,43,United-States,<=50K +54,Private,35459,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,98986,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K +36,Private,282092,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,140764,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,45,United-States,<=50K +30,Private,33124,HS-grad,9,Separated,Farming-fishing,Unmarried,White,Female,0,0,14,United-States,<=50K +46,Private,90042,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +32,Private,102986,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,40,Laos,>50K +21,Private,214387,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,64,United-States,<=50K +39,Private,180667,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,278329,HS-grad,9,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,<=50K +32,Private,184440,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3464,0,40,United-States,<=50K +23,Private,140462,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,202565,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Italy,<=50K +62,?,181063,10th,6,Widowed,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +28,Private,287268,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +28,Private,215955,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,82552,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,41745,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +27,Private,73587,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,35,United-States,<=50K +54,Private,263925,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +19,Private,196119,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +27,Private,284741,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +30,Private,293936,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,50,?,<=50K +35,Private,340428,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +66,?,175891,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +19,Local-gov,276973,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K +30,Private,161599,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +32,Private,144064,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,236391,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,224943,Assoc-voc,11,Never-married,Sales,Other-relative,Black,Male,0,0,65,United-States,<=50K +44,Private,151294,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +52,Private,68982,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +30,Private,241885,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,189461,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K +19,Self-emp-not-inc,36012,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,85355,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,30,United-States,<=50K +20,Private,157595,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +61,Private,197286,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,362747,Some-college,10,Never-married,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K +24,Private,395297,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +31,Self-emp-not-inc,144949,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +20,?,163665,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +32,Private,141490,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +29,Private,147889,Assoc-acdm,12,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K +61,Private,232808,10th,6,Divorced,Other-service,Not-in-family,White,Male,0,0,24,United-States,<=50K +48,Private,70668,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,50,United-States,<=50K +29,Federal-gov,33315,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +61,?,63526,12th,8,Never-married,?,Not-in-family,Black,Male,0,0,52,United-States,<=50K +34,Private,591711,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,48,?,<=50K +22,Private,200318,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K +32,Private,97723,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,40,United-States,<=50K +38,Private,109231,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,102889,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Private,167106,HS-grad,9,Never-married,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,40,Hong,<=50K +35,Private,182898,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,8614,0,40,United-States,>50K +62,Private,197918,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,67386,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +50,Private,126592,HS-grad,9,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +34,Private,49469,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,99999,0,50,United-States,>50K +37,Self-emp-not-inc,119929,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +63,Private,158199,1st-4th,2,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,44,Portugal,<=50K +35,Private,341102,9th,5,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +55,Private,101524,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +40,Private,202872,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +25,Private,195201,HS-grad,9,Married-civ-spouse,Sales,Husband,Other,Male,0,0,50,United-States,<=50K +51,Private,128272,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,263094,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +54,Self-emp-inc,357596,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,55,United-States,>50K +47,Local-gov,102628,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +26,Private,171114,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +46,Private,216414,Assoc-voc,11,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +24,Private,127753,12th,8,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +19,Private,282698,7th-8th,4,Never-married,Adm-clerical,Own-child,White,Male,0,0,80,United-States,<=50K +35,Private,139364,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K +36,Local-gov,312785,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Male,0,0,35,United-States,<=50K +18,Private,92864,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +46,Local-gov,175428,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +30,Private,104223,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,32,United-States,<=50K +29,Private,144784,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +65,Private,178934,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,20,Jamaica,<=50K +41,Private,211253,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +34,Private,133122,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,103540,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +39,State-gov,172700,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +21,Private,282484,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +31,Private,323055,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +33,State-gov,291494,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +28,Private,214702,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +32,Private,116055,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,2977,0,35,United-States,<=50K +32,Private,226696,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K +31,Private,216827,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +41,Self-emp-not-inc,153132,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +48,Private,307440,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,45,Philippines,>50K +27,Private,278122,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,122195,HS-grad,9,Widowed,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K +34,Self-emp-not-inc,156890,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +17,Private,36877,10th,6,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K +25,Private,131178,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,23,United-States,<=50K +34,Self-emp-inc,62396,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,62,United-States,>50K +33,Private,73054,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +21,Private,96844,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +22,Private,324922,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K +61,Private,130684,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,<=50K +40,Private,178983,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,>50K +58,Private,81038,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,12,United-States,<=50K +30,Private,151967,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,58,United-States,<=50K +24,Private,278107,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K +52,Self-emp-not-inc,183146,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +50,Private,183638,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Private,247892,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,30,United-States,<=50K +22,Private,221480,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +32,Private,118551,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,?,>50K +21,Private,518530,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,193787,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,50,United-States,<=50K +34,Self-emp-inc,157466,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +48,Private,141511,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +61,?,158712,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,99,United-States,<=50K +21,Private,252253,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +20,Private,200450,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,52,United-States,<=50K +30,State-gov,343789,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +44,Private,277647,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K +44,Private,291566,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,60,United-States,<=50K +29,Private,151382,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +31,Private,221167,Prof-school,15,Divorced,Tech-support,Not-in-family,White,Female,0,0,35,United-States,<=50K +35,Private,196178,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,302422,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,37379,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +37,Self-emp-not-inc,82540,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K +33,Self-emp-not-inc,182926,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,?,<=50K +44,Private,159911,7th-8th,4,Married-civ-spouse,Other-service,Wife,White,Female,0,0,55,United-States,<=50K +34,Private,212781,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +28,Local-gov,207213,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,5,United-States,<=50K +30,Private,200192,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,45,United-States,<=50K +41,Local-gov,180096,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +23,Private,192812,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +19,Private,105908,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,70,United-States,<=50K +48,Private,373366,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,3781,0,50,Mexico,<=50K +26,State-gov,234190,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K +32,Private,260868,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K +26,Private,109097,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K +36,Private,171393,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,55,United-States,>50K +49,Private,209146,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +33,?,289046,HS-grad,9,Divorced,?,Not-in-family,Black,Male,0,1741,40,United-States,<=50K +54,Private,172281,Masters,14,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,>50K +36,Private,73023,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K +41,Private,122626,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,48,United-States,<=50K +27,Private,113635,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +68,?,257269,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,2377,35,United-States,>50K +21,?,191806,Some-college,10,Never-married,?,Own-child,White,Male,0,0,75,United-States,<=50K +56,?,35723,HS-grad,9,Divorced,?,Own-child,White,Male,0,0,40,United-States,<=50K +40,Self-emp-not-inc,30759,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +46,Private,105327,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +55,?,376058,9th,5,Never-married,?,Own-child,White,Female,0,0,45,United-States,<=50K +43,Private,219307,9th,5,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +46,Private,208067,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,78631,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K +19,Private,210308,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +67,Local-gov,190661,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,7896,0,50,United-States,>50K +31,Private,594187,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,228476,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +21,Private,126613,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,30267,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,216811,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,16,United-States,<=50K +62,Local-gov,115763,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +31,Local-gov,199368,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,50,United-States,>50K +52,Private,159755,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K +39,Self-emp-not-inc,188335,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,417668,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K +55,?,141807,HS-grad,9,Never-married,?,Not-in-family,White,Male,13550,0,40,United-States,>50K +38,Private,296317,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +36,Private,164898,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,452406,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,15,United-States,<=50K +27,Private,42696,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,262994,Some-college,10,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +43,State-gov,167298,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Private,103529,11th,7,Divorced,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K +47,Private,97883,Bachelors,13,Widowed,Priv-house-serv,Unmarried,White,Female,25236,0,35,United-States,>50K +49,State-gov,269417,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Female,0,2258,50,United-States,>50K +34,Private,199539,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +19,?,39460,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K +79,Federal-gov,62176,Doctorate,16,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,6,United-States,>50K +28,State-gov,239130,Some-college,10,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +41,Self-emp-inc,151089,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +21,Private,331611,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +31,Self-emp-not-inc,203463,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,151518,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +23,Self-emp-inc,39844,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +32,Private,299635,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Germany,<=50K +67,Private,123393,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,209538,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +35,Self-emp-not-inc,238802,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +29,Private,499197,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,200220,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,114059,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +18,Private,434430,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +47,Private,185385,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,24,United-States,<=50K +22,Private,225156,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,377931,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2377,48,United-States,<=50K +27,?,133359,Bachelors,13,Married-spouse-absent,?,Not-in-family,White,Male,0,0,50,?,<=50K +28,Private,226891,Some-college,10,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,30,?,<=50K +32,Private,201988,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,4508,0,40,?,<=50K +40,Private,287008,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,55,Germany,>50K +23,Private,151910,Bachelors,13,Never-married,Machine-op-inspct,Own-child,White,Female,0,1719,40,United-States,<=50K +25,Private,231714,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +44,Self-emp-inc,178510,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,2258,60,United-States,<=50K +43,Private,178866,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,25,United-States,>50K +31,Private,110643,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,55,United-States,>50K +33,Private,148261,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,217902,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +29,Self-emp-not-inc,77207,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +32,?,377017,Assoc-acdm,12,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +78,Private,184759,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,1797,0,15,United-States,<=50K +64,Self-emp-inc,80333,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +58,Private,265086,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +55,?,102058,12th,8,Widowed,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +20,Private,333843,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,296478,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +27,Local-gov,116662,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,353298,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,99999,0,50,United-States,>50K +42,Private,142424,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Local-gov,200808,12th,8,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,Puerto-Rico,<=50K +29,Private,119052,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Female,0,0,40,United-States,<=50K +33,Private,168981,1st-4th,2,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K +44,Private,151780,Some-college,10,Widowed,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +70,Private,237065,5th-6th,3,Widowed,Other-service,Other-relative,White,Female,2346,0,40,?,<=50K +25,Private,509866,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,78,United-States,<=50K +24,State-gov,249385,Bachelors,13,Never-married,Adm-clerical,Other-relative,White,Female,0,0,10,United-States,<=50K +42,State-gov,109462,Bachelors,13,Divorced,Adm-clerical,Unmarried,Black,Female,2977,0,40,United-States,<=50K +53,Private,250034,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,>50K +39,Private,249720,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,60,United-States,<=50K +72,Self-emp-not-inc,258761,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +43,Self-emp-inc,64048,9th,5,Never-married,Sales,Own-child,White,Female,0,0,44,Portugal,<=50K +25,State-gov,153534,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,193815,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +27,Private,255582,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,204527,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +64,Self-emp-not-inc,159938,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2635,0,24,Italy,<=50K +29,Self-emp-not-inc,229341,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K +50,Private,128143,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +33,Private,175479,5th-6th,3,Never-married,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K +18,Private,301814,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +20,Private,238917,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,32,Mexico,<=50K +32,Private,205581,Some-college,10,Separated,Tech-support,Unmarried,White,Female,0,0,50,United-States,<=50K +45,Private,340341,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +48,Private,147860,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,Black,Female,0,0,40,United-States,<=50K +20,?,121023,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +23,Private,259496,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +34,Federal-gov,190228,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,48,United-States,>50K +43,Private,180599,Bachelors,13,Separated,Exec-managerial,Unmarried,White,Male,8614,0,40,United-States,>50K +44,Private,116358,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +47,Self-emp-not-inc,180446,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,>50K +47,Private,264244,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,Black,Female,0,0,40,United-States,<=50K +46,Local-gov,197988,1st-4th,2,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K +19,Private,206599,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +51,Private,313146,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-inc,99212,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +37,Private,340599,11th,7,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Private,62932,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,44861,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,53893,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +53,Self-emp-inc,152810,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,45,United-States,>50K +47,Local-gov,128401,Doctorate,16,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,336951,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +60,Self-emp-not-inc,95445,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,3137,0,46,United-States,<=50K +43,Private,54611,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,315984,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,50,United-States,>50K +28,Private,210313,10th,6,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K +19,Private,181020,11th,7,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,30,United-States,<=50K +51,Self-emp-not-inc,120781,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Other,Male,99999,0,70,India,>50K +19,Private,256979,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,35,United-States,<=50K +64,Private,47298,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +44,Private,125461,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +21,Private,209955,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K +33,Private,182246,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +63,Private,76860,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +44,?,91949,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +44,Local-gov,136986,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,35,United-States,>50K +28,Federal-gov,183445,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,70,Puerto-Rico,<=50K +24,Private,130741,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +20,Federal-gov,191878,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K +21,?,233923,Some-college,10,Never-married,?,Own-child,White,Female,0,0,24,United-States,<=50K +20,Private,48121,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,304302,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +34,Federal-gov,284703,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,52,United-States,<=50K +17,Private,401198,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +35,Private,243357,11th,7,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +26,Private,32276,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,110538,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,70,United-States,<=50K +25,Private,257310,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Self-emp-not-inc,411950,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +52,Local-gov,392668,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +43,Self-emp-not-inc,52498,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K +36,Private,223433,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K +37,Private,87076,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +58,Private,224854,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,193379,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +54,Private,98436,Masters,14,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +42,?,116632,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K +65,Self-emp-inc,210381,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,65,United-States,>50K +44,Private,90688,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Female,0,0,45,Laos,<=50K +61,Private,229744,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,El-Salvador,<=50K +29,Private,59732,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +34,Private,192900,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +24,State-gov,90046,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,Canada,<=50K +40,Private,272960,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,42,United-States,>50K +42,Self-emp-inc,152071,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,Cuba,>50K +50,Private,301583,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,?,171964,HS-grad,9,Never-married,?,Own-child,White,Female,0,1602,20,United-States,<=50K +49,Private,315984,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,241962,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,131591,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,45,United-States,<=50K +70,Self-emp-inc,207938,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,5,United-States,<=50K +51,Private,53197,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +24,Private,121023,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,Self-emp-not-inc,287229,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +22,Private,163911,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +31,Private,191834,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +28,Private,204734,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K +45,Self-emp-not-inc,220978,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,365739,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +26,Private,50103,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,283293,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,194534,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,99999,0,60,United-States,>50K +19,Private,263338,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +36,?,504871,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +30,Private,348592,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,<=50K +28,Private,173944,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +53,Private,226135,9th,5,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,Jamaica,<=50K +32,Private,172375,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K +57,Self-emp-inc,127728,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K +47,Private,347025,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,191335,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,<=50K +21,Private,247779,11th,7,Never-married,Sales,Own-child,White,Female,0,0,38,United-States,<=50K +25,State-gov,262664,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +37,Private,95855,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,74501,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +43,Private,245317,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +61,Private,29059,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,2754,25,United-States,<=50K +56,Private,200316,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K +35,Private,198341,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K +59,Private,100453,7th-8th,4,Separated,Other-service,Own-child,Black,Female,0,0,38,United-States,<=50K +44,Self-emp-not-inc,343190,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,55,United-States,>50K +47,Private,235683,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,83237,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +64,Private,88470,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,198801,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +53,Private,168107,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +50,Private,196193,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K +30,?,205418,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K +46,Private,695411,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,44,United-States,<=50K +45,Self-emp-inc,139268,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +44,Federal-gov,192771,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +59,Self-emp-inc,122390,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,48,United-States,>50K +65,Self-emp-inc,184965,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K +23,Private,180837,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +33,Private,159548,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,38,United-States,<=50K +34,Private,110554,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +38,Private,103474,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +62,Private,178249,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +21,Private,138768,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +41,Private,321824,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,8,United-States,<=50K +35,Private,244803,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Peru,<=50K +62,Local-gov,206063,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K +53,Private,167651,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +69,State-gov,163689,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,16,United-States,<=50K +19,Self-emp-not-inc,45546,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K +47,Private,420986,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +52,Self-emp-inc,68015,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,90,United-States,>50K +54,Private,175594,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +58,?,148673,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K +30,Private,206322,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,73,United-States,>50K +39,Private,272338,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,25,United-States,<=50K +73,Private,105886,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,1173,0,75,United-States,<=50K +64,Private,312498,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,177675,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,152810,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +57,Private,319122,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,212304,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +53,Private,208321,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,1740,40,United-States,<=50K +39,Private,240841,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +49,Private,208978,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,16,United-States,<=50K +23,Local-gov,442359,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1092,40,United-States,<=50K +28,Private,198197,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K +46,Private,261059,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +40,Private,72791,Some-college,10,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +24,Private,275395,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +20,?,195767,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +50,Private,462966,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,8,El-Salvador,<=50K +24,?,265434,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,31269,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +33,Local-gov,246291,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,46,United-States,<=50K +54,Federal-gov,128378,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Local-gov,231180,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +31,Local-gov,206297,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +47,Self-emp-inc,337050,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,193075,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +33,Local-gov,169652,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Male,0,1669,55,United-States,<=50K +35,Private,35945,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +20,?,141453,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K +36,Private,252231,Preschool,1,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,Puerto-Rico,<=50K +30,Private,128016,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +39,Private,150057,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +25,Private,258276,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +40,Private,188465,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +25,Self-emp-inc,161007,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,403468,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Mexico,<=50K +53,Federal-gov,181677,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,120243,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K +41,Private,157025,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K +25,Private,306908,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +66,Self-emp-not-inc,28061,7th-8th,4,Widowed,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K +53,Private,95540,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,1471,0,40,United-States,<=50K +27,Private,135001,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,293398,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,185106,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +29,Self-emp-not-inc,245790,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,80,United-States,<=50K +26,Private,134004,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +26,Private,205036,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,42,United-States,<=50K +26,Private,244495,9th,5,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +38,Private,159179,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,405155,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +34,Private,177437,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,45,United-States,>50K +32,Federal-gov,402361,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Self-emp-not-inc,184553,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +31,Private,302626,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,99138,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K +39,Private,112731,HS-grad,9,Divorced,Other-service,Not-in-family,Other,Female,0,0,40,Dominican-Republic,<=50K +35,Private,192923,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2377,40,United-States,<=50K +18,Private,761006,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +75,?,125784,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +28,Private,182344,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,117012,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +39,Federal-gov,30673,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +31,Federal-gov,484669,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,State-gov,314052,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +43,State-gov,38537,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,38,?,<=50K +27,Private,165412,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,198341,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1902,55,India,>50K +46,Private,116635,Bachelors,13,Separated,Prof-specialty,Unmarried,Black,Female,0,0,36,United-States,<=50K +20,Private,185452,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +42,Private,118686,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,20,United-States,<=50K +69,Private,76939,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Federal-gov,160646,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K +49,State-gov,126754,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K +20,Private,211049,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,30,United-States,<=50K +52,Private,311931,5th-6th,3,Married-civ-spouse,Sales,Wife,White,Female,0,0,15,El-Salvador,<=50K +33,Private,283602,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,59,Mexico,<=50K +18,Private,155021,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,6,United-States,<=50K +55,Self-emp-not-inc,100569,HS-grad,9,Separated,Farming-fishing,Unmarried,White,Female,0,0,55,United-States,<=50K +61,Private,380462,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K +61,Federal-gov,221943,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,9386,0,40,United-States,>50K +39,Private,114544,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K +30,Private,248584,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,227468,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +36,Private,66173,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,White,Female,0,0,15,United-States,<=50K +34,Private,107624,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +53,Private,70387,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,4386,0,40,India,>50K +38,Private,423616,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,36,United-States,>50K +46,Private,98637,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K +27,Local-gov,216013,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,210926,11th,7,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,40,Nicaragua,<=50K +60,Local-gov,255711,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,>50K +23,Private,77581,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,152461,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,14344,0,50,United-States,>50K +22,Private,203263,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +25,Private,261519,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +29,Private,91189,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +90,Federal-gov,195433,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +37,Local-gov,272471,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,311524,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,38,United-States,<=50K +18,Private,151386,HS-grad,9,Married-spouse-absent,Other-service,Own-child,Black,Male,0,0,40,Jamaica,<=50K +35,Private,187625,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,65,United-States,<=50K +50,Private,108933,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,2885,0,40,United-States,<=50K +54,Private,135388,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K +43,Private,169383,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +28,Self-emp-inc,191129,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,>50K +51,Private,467611,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +31,Private,373185,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,42,Mexico,<=50K +69,Private,130060,HS-grad,9,Separated,Transport-moving,Unmarried,Black,Female,2387,0,40,United-States,<=50K +57,Private,199934,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +71,?,116165,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,14,Canada,<=50K +28,Private,42881,10th,6,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +28,?,174666,10th,6,Separated,?,Not-in-family,White,Male,0,0,80,United-States,<=50K +25,Private,169759,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,95,United-States,<=50K +49,Self-emp-not-inc,181547,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,Columbia,<=50K +52,Private,95704,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,237432,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,?,<=50K +32,Private,226267,5th-6th,3,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,40,El-Salvador,<=50K +31,Private,159979,Some-college,10,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,50,United-States,<=50K +30,Private,203488,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +24,Private,403671,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +45,Private,192323,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,66,Yugoslavia,<=50K +30,Private,167832,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,145166,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K +42,State-gov,155657,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,25,United-States,<=50K +49,Private,116789,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,39234,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +25,Private,124111,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +41,Private,172828,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,55,Outlying-US(Guam-USVI-etc),<=50K +55,Private,143372,HS-grad,9,Divorced,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Self-emp-not-inc,265807,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,3137,0,50,United-States,<=50K +25,State-gov,218184,Bachelors,13,Never-married,Protective-serv,Not-in-family,Black,Female,0,0,40,United-States,<=50K +32,Private,154087,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +29,Federal-gov,440647,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K +37,Private,193952,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,?,<=50K +52,Private,125932,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,284652,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +21,?,214635,Some-college,10,Never-married,?,Own-child,White,Male,0,0,24,United-States,<=50K +43,Private,173316,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,State-gov,65390,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,?,<=50K +40,Self-emp-inc,45054,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +54,Private,185042,1st-4th,2,Separated,Priv-house-serv,Other-relative,White,Female,0,0,40,Mexico,<=50K +35,Private,117381,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,258666,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,1974,40,United-States,<=50K +35,Private,179668,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +57,Private,127277,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K +26,Private,192022,Bachelors,13,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +55,Self-emp-not-inc,99551,Bachelors,13,Widowed,Sales,Unmarried,White,Female,0,0,15,United-States,<=50K +51,Private,208899,Bachelors,13,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,287658,Assoc-acdm,12,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,30,Jamaica,<=50K +31,Private,196125,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,275051,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,8,United-States,<=50K +38,Private,23892,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +39,Federal-gov,376455,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,50,United-States,>50K +29,Private,267989,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +39,Private,30269,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,204235,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +46,Local-gov,209057,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +73,Private,349347,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,25,United-States,<=50K +47,Local-gov,154033,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,1876,40,United-States,<=50K +28,Private,124680,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,70,United-States,<=50K +27,Private,132805,10th,6,Never-married,Sales,Other-relative,White,Male,0,1980,40,United-States,<=50K +38,Private,99233,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +19,Private,224849,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K +60,Local-gov,101110,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,>50K +24,Private,184839,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Private,302847,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,181322,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +26,Local-gov,192213,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,Canada,<=50K +28,State-gov,37250,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,16,United-States,<=50K +38,Self-emp-inc,140854,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +47,Private,158286,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +50,Private,269095,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K +27,Private,279960,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,176239,Some-college,10,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,115360,10th,6,Married-civ-spouse,Machine-op-inspct,Own-child,White,Female,3464,0,40,United-States,<=50K +49,Private,337666,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +68,?,255276,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,48,United-States,>50K +63,Private,145212,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,185099,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K +42,Private,142756,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +28,Private,156300,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,45,United-States,<=50K +68,?,186266,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,8,United-States,<=50K +38,Private,219137,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,22,United-States,<=50K +43,Private,110970,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +49,Private,203067,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +59,Private,148844,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,154941,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +26,Private,124111,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K +59,Private,157303,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,<=50K +34,Private,113838,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +34,Private,165737,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,43,India,>50K +67,Private,140849,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K +45,Private,200363,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,44,United-States,<=50K +64,Private,180247,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +51,Private,82578,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,Canada,>50K +31,Private,227146,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +42,Self-emp-inc,348886,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +65,Private,90907,5th-6th,3,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +23,Private,142766,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,20,United-States,<=50K +31,Private,246439,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +33,Private,184784,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Local-gov,195262,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +63,Private,167967,Masters,14,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,46,United-States,<=50K +48,Private,145636,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,>50K +45,Local-gov,170099,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,228253,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K +26,Local-gov,205570,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Federal-gov,506830,Some-college,10,Divorced,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +29,Private,412435,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,Outlying-US(Guam-USVI-etc),<=50K +44,Private,163331,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K +43,Federal-gov,222756,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,State-gov,318918,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,105188,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,Haiti,<=50K +23,Private,199884,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +19,Private,96483,HS-grad,9,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +49,Self-emp-not-inc,192203,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,<=50K +52,Private,203392,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K +32,Private,99646,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,167440,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,4508,0,40,United-States,<=50K +25,?,210095,5th-6th,3,Never-married,?,Unmarried,White,Female,0,0,25,El-Salvador,<=50K +44,Private,219591,Some-college,10,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +63,Private,30270,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +42,Local-gov,226020,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,0,0,60,?,<=50K +21,Private,314165,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,Columbia,<=50K +32,Private,330715,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Self-emp-not-inc,35448,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K +50,State-gov,172970,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +26,Self-emp-inc,189502,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,>50K +35,Private,61518,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +31,Private,574005,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K +24,Private,281356,1st-4th,2,Never-married,Farming-fishing,Not-in-family,Other,Male,0,0,66,Mexico,<=50K +40,Private,138975,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,<=50K +31,Private,176969,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K +43,Private,132393,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,Poland,<=50K +44,Private,194924,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K +40,Private,478205,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K +75,?,128224,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K +52,Local-gov,30118,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,3137,0,42,United-States,<=50K +51,Self-emp-not-inc,290688,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,State-gov,85566,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,121874,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K +40,Self-emp-not-inc,29036,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,35,United-States,<=50K +33,Private,348152,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Local-gov,73715,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K +29,Private,151382,Assoc-voc,11,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,50,United-States,<=50K +37,Private,236359,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K +37,Private,19899,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,45,United-States,>50K +19,Private,138760,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +46,Local-gov,354962,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +46,Private,181363,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +37,Private,393360,Some-college,10,Never-married,Protective-serv,Own-child,Black,Male,0,0,30,United-States,<=50K +34,Private,210736,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,?,<=50K +38,Private,110013,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,43,United-States,<=50K +26,Private,193304,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,118551,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +57,Private,201991,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,157446,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K +26,Local-gov,283217,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,247794,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,84,United-States,<=50K +38,Private,43712,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,60,United-States,>50K +61,Private,35649,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,6,United-States,<=50K +36,Self-emp-not-inc,342719,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,?,>50K +61,?,71467,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,3103,0,40,United-States,>50K +17,Private,271837,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,16,United-States,<=50K +40,Private,400061,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,United-States,>50K +18,Private,62972,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +21,Private,174907,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,32,United-States,<=50K +41,Private,176452,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,Peru,<=50K +46,Private,268358,11th,7,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Federal-gov,176904,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,176683,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,52,United-States,<=50K +39,Private,98077,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,42,United-States,<=50K +36,Private,266461,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,48,United-States,<=50K +51,Private,312477,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,3908,0,40,United-States,<=50K +27,Private,604045,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Local-gov,131568,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +42,Private,97688,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,47,United-States,<=50K +23,Private,373628,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +56,Private,367984,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +41,Self-emp-not-inc,193459,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +49,Private,250733,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K +46,Federal-gov,199725,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Female,0,0,60,United-States,<=50K +54,Private,156877,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Greece,<=50K +38,Private,122076,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,43,United-States,>50K +45,Self-emp-not-inc,216402,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,India,>50K +50,Self-emp-not-inc,42402,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,30,United-States,>50K +22,Private,315974,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,63437,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Ireland,<=50K +27,Private,160786,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +34,Private,85374,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,465974,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K +47,Private,78529,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +36,State-gov,98037,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +22,Private,178390,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,210940,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,2002,45,United-States,<=50K +43,Private,64506,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +54,Private,128378,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +24,Private,234460,9th,5,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,Dominican-Republic,<=50K +29,Private,176760,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,55,United-States,<=50K +40,State-gov,59460,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +18,Private,234428,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +31,Private,215047,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K +57,Private,140426,Doctorate,16,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,40,Germany,>50K +32,Private,191777,Masters,14,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +48,Private,148995,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +24,Private,229773,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +24,Private,174461,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,0,0,22,United-States,<=50K +24,Private,250647,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Guatemala,<=50K +49,Local-gov,119904,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,30,United-States,>50K +27,Self-emp-not-inc,151402,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1573,70,United-States,<=50K +37,Private,184556,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,263561,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +19,Private,177945,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K +45,Private,306889,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +54,Local-gov,54377,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,144351,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,625,40,United-States,<=50K +22,Private,95566,Some-college,10,Married-spouse-absent,Sales,Own-child,Other,Female,0,0,22,Dominican-Republic,<=50K +20,Private,181675,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,172129,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +49,?,350759,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +58,Self-emp-not-inc,105592,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +20,?,200061,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,?,<=50K +34,Self-emp-inc,200689,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,386726,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,44,United-States,>50K +28,Local-gov,135567,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,4101,0,60,United-States,<=50K +38,Local-gov,282753,Assoc-voc,11,Divorced,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,137367,11th,7,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,India,<=50K +35,Self-emp-inc,153976,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +51,Self-emp-inc,96062,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +33,Private,152933,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +71,Private,97870,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,15,Germany,<=50K +48,Private,254291,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +53,Self-emp-not-inc,101432,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,125776,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +64,Self-emp-not-inc,165479,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,5,United-States,<=50K +42,Federal-gov,172307,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,>50K +25,Private,176729,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +66,Private,174276,Some-college,10,Widowed,Sales,Unmarried,White,Female,0,0,50,United-States,>50K +59,Federal-gov,48102,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,?,>50K +42,Self-emp-not-inc,79531,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +24,Private,306460,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K +19,Private,55284,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,25,United-States,<=50K +26,Private,172063,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K +22,Private,141028,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,30,United-States,<=50K +33,Private,37274,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +63,Private,31389,11th,7,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,12,United-States,<=50K +20,Private,415913,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K +33,Private,295591,5th-6th,3,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +57,?,202903,7th-8th,4,Married-civ-spouse,?,Wife,White,Female,1173,0,45,Puerto-Rico,<=50K +56,Private,159770,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +70,Self-emp-not-inc,268832,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,24,United-States,>50K +42,Private,126003,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +25,Local-gov,225193,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +28,Private,297735,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +80,Self-emp-not-inc,225892,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,1409,0,40,United-States,<=50K +36,Private,605502,10th,6,Never-married,Transport-moving,Not-in-family,Black,Female,0,0,40,United-States,<=50K +37,Private,174150,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,Private,165466,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,>50K +52,State-gov,189728,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +49,Private,360491,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,115040,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,262688,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,7688,0,50,United-States,>50K +70,Self-emp-inc,158437,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +55,Private,41108,Some-college,10,Widowed,Farming-fishing,Not-in-family,White,Male,0,2258,62,United-States,>50K +25,Private,149875,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +59,Private,131916,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Italy,>50K +22,Private,60668,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Local-gov,153132,Assoc-acdm,12,Separated,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +62,Private,155256,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +54,Private,244770,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +38,Private,312108,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +52,Private,102828,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +36,Private,93225,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +74,Self-emp-inc,231002,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,>50K +35,Self-emp-not-inc,256992,5th-6th,3,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,Mexico,<=50K +41,Private,118721,12th,8,Divorced,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +30,Private,151989,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K +25,Private,109112,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +35,Private,589809,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,13550,0,60,United-States,>50K +38,Private,172538,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +34,State-gov,318982,Masters,14,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1848,40,United-States,>50K +48,Private,204629,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +50,Self-emp-not-inc,99894,5th-6th,3,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,0,0,15,United-States,<=50K +19,Private,369463,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +51,Private,79324,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,61178,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +20,Private,204226,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +17,Private,183110,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K +42,Private,96321,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +25,Private,167031,Some-college,10,Never-married,Other-service,Other-relative,Other,Female,0,0,25,Ecuador,<=50K +36,Private,108997,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +65,Private,176796,Doctorate,16,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Self-emp-not-inc,134737,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,70,United-States,>50K +33,Self-emp-inc,49795,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +32,State-gov,131588,Some-college,10,Never-married,Tech-support,Unmarried,Black,Female,0,0,20,United-States,<=50K +25,Private,307643,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +41,Local-gov,351350,Some-college,10,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,260761,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +72,Private,156310,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,2414,0,12,United-States,<=50K +36,Private,207789,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,52,United-States,<=50K +67,Self-emp-not-inc,252842,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,1797,0,20,United-States,<=50K +28,Private,294936,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,4064,0,45,United-States,<=50K +24,Private,196269,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,Other,Male,0,0,40,United-States,<=50K +17,Private,46402,7th-8th,4,Never-married,Sales,Own-child,White,Male,0,0,8,United-States,<=50K +32,Self-emp-not-inc,267161,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,30,United-States,<=50K +67,Private,160456,11th,7,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,?,123983,Some-college,10,Never-married,?,Other-relative,Asian-Pac-Islander,Male,0,0,10,Vietnam,<=50K +51,Private,123053,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,5013,0,40,India,<=50K +32,Private,426467,1st-4th,2,Never-married,Craft-repair,Not-in-family,White,Male,3674,0,40,Guatemala,<=50K +39,Private,269323,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +18,Self-emp-not-inc,42857,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,35,United-States,<=50K +50,Self-emp-not-inc,183915,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +24,Private,211391,10th,6,Never-married,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K +21,Local-gov,193130,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,86745,Bachelors,13,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,16,United-States,<=50K +34,Private,226525,Assoc-voc,11,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +68,?,270339,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K +49,Self-emp-not-inc,343742,10th,6,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,32,United-States,<=50K +50,Private,150975,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +33,Private,207301,Assoc-acdm,12,Divorced,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +18,Private,135924,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,184277,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,55,United-States,>50K +20,Private,142233,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +46,Self-emp-inc,120902,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,37,United-States,>50K +64,Local-gov,158412,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,126161,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +35,Private,149347,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,70,United-States,<=50K +21,Private,322674,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K +29,Private,55390,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K +38,State-gov,200904,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,30,United-States,>50K +45,Private,166056,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Self-emp-not-inc,116666,Masters,14,Divorced,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,50,India,>50K +41,Private,168324,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +37,Private,121772,HS-grad,9,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Hong,<=50K +45,Private,126889,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,60,United-States,>50K +20,?,401690,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +45,Self-emp-inc,117605,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +20,Federal-gov,410446,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,20,United-States,<=50K +63,Self-emp-inc,38472,Some-college,10,Widowed,Sales,Not-in-family,White,Female,14084,0,60,United-States,>50K +35,Self-emp-not-inc,335704,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,70261,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +19,Private,47577,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +23,Private,117767,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +34,Private,179641,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +23,?,343553,11th,7,Never-married,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,328466,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,Mexico,>50K +46,Private,265097,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,5,United-States,<=50K +38,Local-gov,414791,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K +55,Local-gov,48055,12th,8,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,341672,Some-college,10,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Male,0,0,40,India,<=50K +48,Private,266764,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +35,Private,233571,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,50,United-States,<=50K +53,Private,126592,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,7688,0,40,United-States,>50K +47,Private,70754,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,138852,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,4650,0,22,United-States,<=50K +32,Private,175856,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,193494,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,46,United-States,<=50K +41,Private,104334,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +47,Federal-gov,197332,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,205844,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,25,United-States,<=50K +45,Local-gov,206459,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K +33,Private,202822,7th-8th,4,Never-married,Other-service,Unmarried,Black,Female,0,0,14,Trinadad&Tobago,<=50K +68,Without-pay,174695,Some-college,10,Married-spouse-absent,Farming-fishing,Unmarried,White,Female,0,0,25,United-States,<=50K +44,Private,183342,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +49,Private,105614,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +45,Private,329603,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Poland,>50K +41,Private,77373,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1848,65,United-States,>50K +29,Private,207473,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Mexico,<=50K +46,Private,149161,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,?,<=50K +19,Private,311974,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,25,Mexico,<=50K +56,Private,175127,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +55,Self-emp-not-inc,111625,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +29,Private,48895,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +21,Private,27049,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,25,United-States,<=50K +38,Private,108907,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K +52,Private,94988,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K +22,Private,218343,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +20,Private,227626,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,<=50K +31,Private,272856,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,50,England,<=50K +39,Private,30916,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,276229,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,289106,Assoc-acdm,12,Separated,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K +67,?,39100,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,5,United-States,<=50K +45,Private,192776,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,55,United-States,>50K +61,Private,147280,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +18,Private,187770,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +51,State-gov,213296,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,107410,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +21,?,170272,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K +32,Private,86808,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,38,United-States,<=50K +48,Private,149210,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Male,0,0,45,United-States,<=50K +62,Private,123411,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,53,United-States,<=50K +21,?,306779,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,487347,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +19,Private,283945,10th,6,Never-married,Handlers-cleaners,Other-relative,White,Male,0,1602,45,United-States,<=50K +20,Private,375698,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +41,Private,271753,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,251854,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +47,Private,264052,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +43,State-gov,28451,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,37,United-States,>50K +20,Private,282604,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,20,United-States,<=50K +29,Private,185908,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,55,United-States,>50K +51,Federal-gov,198186,Bachelors,13,Widowed,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +40,Private,242521,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +26,Private,337940,5th-6th,3,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,Mexico,<=50K +30,Private,212064,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,129263,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +68,Local-gov,144761,HS-grad,9,Widowed,Protective-serv,Not-in-family,White,Male,0,1668,20,United-States,<=50K +42,Private,109912,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,>50K +41,Private,113324,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,187795,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +20,Private,173724,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +43,Private,185129,Bachelors,13,Divorced,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +53,Private,73134,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K +45,Private,236040,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +39,Private,74194,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K +31,Local-gov,102130,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +23,Private,140915,Some-college,10,Never-married,Sales,Other-relative,Asian-Pac-Islander,Male,0,0,25,Philippines,<=50K +69,?,107575,HS-grad,9,Divorced,?,Not-in-family,White,Female,2964,0,35,United-States,<=50K +38,State-gov,34364,Masters,14,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Self-emp-not-inc,258037,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,Cuba,>50K +18,Private,391585,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K +41,Self-emp-not-inc,233130,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,Mexico,<=50K +30,Private,101345,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,3103,0,55,United-States,>50K +23,?,32897,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +26,Private,248612,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K +37,Private,212465,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,198587,Some-college,10,Never-married,Tech-support,Not-in-family,Black,Female,2174,0,50,United-States,<=50K +33,Private,405913,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Peru,>50K +37,Private,588003,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +31,Private,46807,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,210498,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,<=50K +35,Private,206951,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +28,Self-emp-not-inc,237466,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,>50K +59,Private,279636,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,Guatemala,<=50K +42,Private,29320,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,271262,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +27,?,29361,Assoc-acdm,12,Never-married,?,Not-in-family,White,Female,0,0,45,United-States,<=50K +32,Private,76773,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,109004,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K +43,Private,226902,Bachelors,13,Divorced,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +46,Private,176552,11th,7,Divorced,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K +41,Private,182303,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +59,Local-gov,296253,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,8614,0,60,United-States,>50K +20,Private,218215,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +57,Private,165695,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,>50K +46,Self-emp-not-inc,51271,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,4386,0,70,United-States,<=50K +45,Private,96100,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +29,Local-gov,82393,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Asian-Pac-Islander,Male,0,1590,45,United-States,<=50K +23,Private,248978,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +46,Private,254367,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,1590,48,United-States,<=50K +55,?,200235,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K +58,Private,94429,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +38,Private,87282,Assoc-voc,11,Never-married,Exec-managerial,Other-relative,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +29,Private,119793,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,50,United-States,<=50K +57,?,85815,HS-grad,9,Divorced,?,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K +26,Local-gov,197764,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,306982,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +61,Private,80896,HS-grad,9,Separated,Transport-moving,Unmarried,Asian-Pac-Islander,Male,0,0,45,United-States,>50K +31,Private,197886,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K +43,Private,355728,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,121124,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,50,United-States,>50K +51,State-gov,193720,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,>50K +23,Private,347292,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,34506,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,326370,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,?,<=50K +22,?,269221,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,63509,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +48,Private,148254,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,16,United-States,>50K +33,Private,190511,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +46,Private,268022,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,?,>50K +18,Private,20057,7th-8th,4,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +52,Private,206862,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,189498,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,45,United-States,>50K +28,Private,166320,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,289886,Some-college,10,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,30,Vietnam,<=50K +23,?,86337,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,15,United-States,<=50K +45,Local-gov,54190,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +17,Private,147069,10th,6,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K +56,Private,282023,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +38,Self-emp-inc,379485,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Male,0,0,45,United-States,<=50K +81,Private,129338,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,10,United-States,<=50K +22,Private,99829,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K +43,State-gov,182254,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,109428,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1740,40,United-States,<=50K +42,Self-emp-not-inc,351161,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +66,?,210750,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K +50,Private,132716,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +31,Private,242984,Some-college,10,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,101509,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,?,509629,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +36,Private,119957,Bachelors,13,Separated,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K +33,Private,69727,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +36,Private,204590,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,213,40,United-States,<=50K +37,?,50862,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,55,United-States,<=50K +50,Private,182907,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +55,Private,206487,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +29,Private,168015,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,149396,Some-college,10,Never-married,Other-service,Other-relative,Black,Female,0,0,30,Haiti,<=50K +39,Federal-gov,184964,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K +34,Private,398988,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,128777,7th-8th,4,Divorced,Craft-repair,Unmarried,White,Female,0,0,55,United-States,<=50K +60,Private,252413,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,32,United-States,>50K +33,Private,181372,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K +58,Private,216851,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,El-Salvador,<=50K +27,Private,106935,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,State-gov,363875,Some-college,10,Divorced,Protective-serv,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +63,Private,287277,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,172342,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,308498,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,15,United-States,<=50K +29,Private,122127,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,8614,0,40,United-States,>50K +31,Private,106437,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,60,United-States,>50K +49,Self-emp-inc,306289,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +45,Self-emp-inc,201699,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +42,Private,282062,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,235108,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,339482,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,181820,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,99335,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,367533,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2580,0,40,United-States,<=50K +57,Private,64960,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,45,United-States,<=50K +50,Private,269095,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,58683,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K +35,Self-emp-not-inc,89508,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3908,0,60,United-States,<=50K +19,Private,100999,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +18,Private,34125,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,28,United-States,<=50K +20,Private,115057,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,139126,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,104632,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,>50K +40,Federal-gov,178866,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K +54,Private,139850,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,45,United-States,>50K +28,Private,61435,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +38,Private,309230,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +28,Private,45613,Some-college,10,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,272615,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,54318,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +27,Private,165519,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,48495,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K +38,Private,143123,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +67,Self-emp-not-inc,431426,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,20051,0,4,United-States,>50K +75,Private,256474,Masters,14,Never-married,Protective-serv,Not-in-family,White,Male,0,0,16,United-States,<=50K +41,Private,191451,Masters,14,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,60,United-States,>50K +37,Private,99146,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +47,Private,235986,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,50,Cuba,<=50K +34,Local-gov,429897,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Mexico,>50K +25,Private,189897,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +52,Private,145155,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,State-gov,192257,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,2174,0,40,United-States,<=50K +35,Private,194960,HS-grad,9,Never-married,Farming-fishing,Not-in-family,Other,Male,0,0,40,Puerto-Rico,<=50K +44,Local-gov,357814,12th,8,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,35,Mexico,<=50K +27,Local-gov,137629,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,>50K +42,Private,156526,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,33,United-States,<=50K +26,Private,189238,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,38,El-Salvador,<=50K +23,Private,202989,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Canada,<=50K +28,Private,25684,HS-grad,9,Never-married,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +38,Self-emp-not-inc,192939,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +28,Private,138692,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +29,Private,222249,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +56,Self-emp-not-inc,201318,9th,5,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,3411,0,50,Columbia,<=50K +23,?,190650,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,0,0,35,United-States,<=50K +30,Private,56004,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K +48,Private,182313,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,138962,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,72,?,<=50K +38,Private,277248,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Cuba,>50K +24,Private,125031,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +47,State-gov,216414,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +22,Private,171176,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,48,?,<=50K +29,Private,356133,Some-college,10,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K +45,Private,185397,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,308285,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,56651,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +28,Local-gov,154863,9th,5,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Trinadad&Tobago,>50K +46,Federal-gov,44706,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,>50K +34,?,222548,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,4,United-States,<=50K +32,Private,248754,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,104981,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,315065,Some-college,10,Never-married,Other-service,Unmarried,White,Male,0,0,35,Mexico,<=50K +46,Private,188325,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,221661,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +59,Private,81973,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +31,Private,169122,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +48,Private,216734,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,98101,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,292511,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +20,Private,122971,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +29,Private,124953,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,United-States,<=50K +54,Private,123011,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +36,Private,76417,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K +43,Private,351576,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +46,Federal-gov,33794,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,3103,0,40,United-States,>50K +33,Private,79923,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +33,Private,117983,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K +36,Private,186110,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,187589,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,5178,0,40,United-States,>50K +37,?,319685,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,54,United-States,>50K +64,?,64101,12th,8,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K +45,Self-emp-not-inc,162923,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +25,Private,288519,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,33798,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,195734,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,2354,0,40,United-States,<=50K +23,Private,214120,HS-grad,9,Never-married,Priv-house-serv,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,113515,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Self-emp-not-inc,261230,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,98515,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +46,Private,187715,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +23,?,214238,7th-8th,4,Never-married,?,Not-in-family,White,Female,0,0,40,Mexico,<=50K +32,Private,123964,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,4386,0,50,United-States,<=50K +26,Private,68991,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K +52,Private,292110,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,198320,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K +33,Private,709798,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +60,Private,372838,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,160402,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,38,United-States,<=50K +45,Private,98475,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +37,Local-gov,97136,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +29,Private,136985,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +53,Private,187356,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,66,United-States,<=50K +46,State-gov,107231,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1740,40,United-States,<=50K +20,Private,305874,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +39,Private,290922,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +48,Private,248254,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,7298,0,40,United-States,>50K +38,Private,160808,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,4386,0,48,United-States,<=50K +36,Private,247321,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +53,Private,247651,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,56,United-States,<=50K +29,Private,214702,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1974,35,United-States,<=50K +64,Private,75577,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,2580,0,50,United-States,<=50K +34,Private,561334,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +36,?,224886,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +41,Local-gov,401134,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,258170,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K +68,?,141181,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,<=50K +37,Private,292370,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,50,?,>50K +22,Private,300871,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,136721,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,?,140399,Some-college,10,Never-married,?,Other-relative,White,Female,0,0,30,United-States,<=50K +36,Private,109133,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,186534,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +25,Private,226891,Assoc-voc,11,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,?,<=50K +33,Private,241885,Some-college,10,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,97165,Some-college,10,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K +33,Private,212918,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,70,United-States,<=50K +24,Private,211585,HS-grad,9,Married-civ-spouse,Transport-moving,Own-child,White,Female,0,0,40,United-States,<=50K +47,Local-gov,178309,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Self-emp-inc,481987,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,215211,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +33,Local-gov,194901,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +44,Private,340885,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1977,40,United-States,>50K +33,Local-gov,190290,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,56,United-States,<=50K +26,Private,188569,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +22,Private,162282,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,287315,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +31,Self-emp-inc,304212,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K +73,?,200878,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,15,United-States,<=50K +38,Local-gov,256864,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,46401,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +36,Private,37778,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,191722,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,54,United-States,>50K +64,Self-emp-not-inc,103643,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,>50K +24,Private,143766,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,55,United-States,<=50K +21,State-gov,204425,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K +28,Private,156257,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +18,?,113185,11th,7,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +41,Self-emp-inc,112262,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +17,Private,28031,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +58,Private,320102,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +50,Self-emp-not-inc,334273,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,8,United-States,<=50K +30,Private,356015,11th,7,Married-spouse-absent,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,Mexico,<=50K +47,Private,278900,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,142528,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +50,Federal-gov,343014,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K +29,Private,201017,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,Scotland,<=50K +31,Self-emp-not-inc,81030,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +40,Self-emp-not-inc,34007,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,>50K +31,Private,29662,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K +53,Private,347446,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +33,Private,90668,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,190403,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,109015,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,50,United-States,>50K +38,Private,234807,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K +18,Private,157131,11th,7,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +50,Private,94081,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +78,Private,135566,HS-grad,9,Widowed,Sales,Unmarried,White,Female,2329,0,12,United-States,<=50K +27,Private,103164,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,570002,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +24,State-gov,215797,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,289405,Some-college,10,Never-married,Sales,Own-child,White,Male,0,1602,15,United-States,<=50K +25,Private,239461,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K +34,Private,101510,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,>50K +30,Self-emp-inc,443546,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +37,Federal-gov,141029,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,207202,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K +67,Without-pay,137192,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,12,Philippines,<=50K +35,Private,222989,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K +75,Self-emp-not-inc,36325,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +47,Private,73394,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K +23,Private,249046,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +51,Federal-gov,100653,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K +42,Local-gov,1125613,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +32,Private,101352,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,32,United-States,>50K +54,Private,340476,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +20,Private,192711,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +39,Private,273362,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +41,Private,100451,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,38,United-States,>50K +35,Private,85399,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Local-gov,168191,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K +27,Private,153475,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +61,Self-emp-not-inc,196773,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K +41,Private,180138,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +22,Private,48347,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +55,Private,175071,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,15024,0,40,United-States,>50K +66,?,129476,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K +25,Private,181772,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,284317,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +20,Private,237305,Some-college,10,Never-married,Machine-op-inspct,Other-relative,Black,Female,0,0,35,United-States,<=50K +67,Self-emp-inc,111321,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,16,United-States,<=50K +44,Private,278476,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +42,Private,39060,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +29,Local-gov,205262,Some-college,10,Never-married,Adm-clerical,Not-in-family,Other,Male,0,0,40,Ecuador,<=50K +48,Private,198000,Some-college,10,Never-married,Craft-repair,Unmarried,White,Female,0,0,38,United-States,>50K +25,Private,397962,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K +31,Private,178370,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,99,United-States,>50K +48,Private,121253,Bachelors,13,Married-spouse-absent,Sales,Unmarried,White,Female,0,2472,70,United-States,>50K +40,Private,56072,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K +26,Private,176756,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,60374,HS-grad,9,Married-civ-spouse,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +52,Private,165681,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +41,Self-emp-not-inc,287037,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +39,Self-emp-not-inc,55568,Bachelors,13,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,50,United-States,<=50K +48,Private,155509,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,16,Trinadad&Tobago,<=50K +19,Private,201178,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +27,Private,37250,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1651,40,United-States,<=50K +59,Private,314149,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,1740,50,United-States,<=50K +19,Private,264593,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +32,Private,159589,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K +39,Private,454915,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +33,Private,285131,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,150057,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,55390,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,45,United-States,<=50K +23,Private,314894,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,45,United-States,<=50K +59,?,184948,Assoc-voc,11,Divorced,?,Not-in-family,White,Male,0,0,48,United-States,<=50K +25,Local-gov,124483,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,20,India,<=50K +37,Self-emp-inc,97986,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,68,United-States,<=50K +31,Private,210562,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K +24,Private,233280,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,37,United-States,<=50K +53,Local-gov,164300,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,Dominican-Republic,<=50K +26,Private,227489,Some-college,10,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,?,<=50K +25,Private,263773,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +59,Private,96459,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Federal-gov,116608,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,180007,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,305466,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,238917,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,El-Salvador,<=50K +25,Private,129784,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +27,Private,367390,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K +20,Private,235691,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K +63,?,166425,Some-college,10,Widowed,?,Not-in-family,Black,Female,0,0,24,United-States,<=50K +43,Self-emp-not-inc,160369,10th,6,Divorced,Farming-fishing,Unmarried,White,Male,0,0,25,United-States,<=50K +39,Private,206298,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,183523,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +17,Private,217342,10th,6,Never-married,Sales,Own-child,White,Female,0,0,5,United-States,<=50K +40,State-gov,141858,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,72,United-States,<=50K +50,Private,213296,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +23,Self-emp-inc,201682,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +60,Private,178312,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,65,United-States,>50K +30,Private,269723,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,200593,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,32616,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +24,Private,259510,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,30,United-States,<=50K +45,Self-emp-not-inc,271828,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +58,Self-emp-inc,78104,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,United-States,>50K +22,Private,113703,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,20,United-States,<=50K +41,Private,187802,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,440706,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +31,Private,191834,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +33,Private,149184,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +49,Self-emp-inc,315998,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,159589,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +38,Private,60313,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Local-gov,32855,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K +58,Private,142326,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +61,Self-emp-not-inc,201965,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,172333,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K +32,Private,206541,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +33,Self-emp-not-inc,177828,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +28,Private,303440,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +22,Private,89991,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,11,United-States,<=50K +35,Private,186009,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +59,Private,170988,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +45,Self-emp-inc,180239,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,7688,0,40,?,>50K +50,Self-emp-not-inc,213654,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,<=50K +56,Self-emp-inc,32316,12th,8,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,150371,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,?,387871,10th,6,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +28,Private,314649,Some-college,10,Married-civ-spouse,Sales,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K +42,Private,240255,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K +60,Private,206339,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-inc,230168,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,91,United-States,<=50K +42,Private,171424,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,45,United-States,>50K +36,Private,148581,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +52,Local-gov,89705,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +42,Self-emp-not-inc,248406,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +26,Local-gov,72594,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,55,United-States,>50K +31,Local-gov,137537,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Private,225065,5th-6th,3,Separated,Sales,Unmarried,White,Female,0,0,40,Mexico,<=50K +35,Private,217274,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +19,Private,69151,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +59,Self-emp-not-inc,81107,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,80,United-States,>50K +38,Private,205852,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +36,Private,201117,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,397307,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +39,Private,115422,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +64,Private,114994,Some-college,10,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,Local-gov,39815,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +49,Private,151584,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,32,United-States,<=50K +19,Private,164938,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +36,Self-emp-not-inc,179896,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,3137,0,40,United-States,<=50K +26,Private,253841,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K +27,Private,177955,5th-6th,3,Never-married,Priv-house-serv,Other-relative,White,Female,2176,0,40,El-Salvador,<=50K +66,Private,113323,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,40,United-States,>50K +38,Private,320305,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,229287,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Female,0,0,25,United-States,<=50K +19,Private,100790,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,331419,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,4787,0,50,United-States,>50K +22,Private,171419,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,Asian-Pac-Islander,Male,0,0,40,South,<=50K +60,Private,202226,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,44,United-States,>50K +54,Private,308087,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,18,United-States,>50K +46,Private,220124,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,37,United-States,<=50K +33,State-gov,31703,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +51,Local-gov,153908,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,180599,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K +18,?,252046,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +60,Self-emp-inc,160062,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K +39,Self-emp-not-inc,148443,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +23,Private,91733,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,3325,0,40,United-States,<=50K +39,Private,176634,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Local-gov,74949,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,165484,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +24,Private,44738,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +32,Private,130040,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Self-emp-not-inc,234537,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +39,Private,179016,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +27,Private,335421,Masters,14,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +45,State-gov,312678,Masters,14,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,38,United-States,<=50K +22,?,313786,HS-grad,9,Divorced,?,Other-relative,Black,Female,0,0,40,United-States,<=50K +31,Private,198751,Bachelors,13,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +63,Private,131519,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,285060,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +28,State-gov,189765,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K +23,Private,130905,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +50,Private,146325,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K +33,Private,102821,12th,8,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +22,?,137876,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,388998,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,13550,0,46,United-States,>50K +29,Private,82910,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,309122,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +60,Private,532845,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,>50K +46,Private,195833,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,?,<=50K +67,?,98882,Masters,14,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,?,133515,Some-college,10,Never-married,?,Own-child,White,Female,0,0,15,France,<=50K +23,Private,55215,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,55,United-States,<=50K +38,Self-emp-inc,176357,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +60,Private,185836,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +20,Self-emp-not-inc,54152,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,35,United-States,<=50K +37,Private,212437,Some-college,10,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,48,United-States,<=50K +37,Private,224566,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +58,Private,200040,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,41526,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,30,Canada,<=50K +27,Private,89598,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,60,United-States,<=50K +33,Private,323811,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K +43,State-gov,30824,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Federal-gov,181096,Some-college,10,Never-married,Tech-support,Own-child,Black,Male,0,0,20,United-States,<=50K +45,Private,217953,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K +44,Private,222635,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +52,?,121942,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,346871,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,4787,0,46,United-States,>50K +31,Private,184889,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,20,United-States,<=50K +18,Federal-gov,101709,11th,7,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,15,Philippines,<=50K +20,Private,125010,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +32,Private,53135,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,498328,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +46,Private,604380,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +28,Private,174327,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +27,Self-emp-not-inc,357283,HS-grad,9,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K +18,Federal-gov,280728,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,32,United-States,<=50K +69,Self-emp-not-inc,185039,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,9386,0,12,United-States,>50K +50,Self-emp-inc,251240,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +43,Private,143046,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Greece,<=50K +32,Private,210541,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +43,Private,172364,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Female,0,0,48,United-States,<=50K +52,Self-emp-not-inc,138611,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7688,0,55,United-States,>50K +50,Private,176227,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,>50K +35,Private,139647,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +20,?,174461,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,5,United-States,<=50K +73,?,123345,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,65,United-States,<=50K +46,Private,164427,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,45,United-States,<=50K +58,Private,205235,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +46,Self-emp-inc,192779,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K +40,Private,163434,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +25,Private,264055,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,336215,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +33,Federal-gov,78307,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +49,Federal-gov,233059,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,91433,10th,6,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +56,Local-gov,157525,Some-college,10,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,48,United-States,<=50K +24,Private,86065,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Female,0,0,40,Mexico,<=50K +42,Private,22831,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,180181,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,212617,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,66,Ecuador,<=50K +22,?,125905,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,336793,Bachelors,13,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K +42,Private,314649,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Other-relative,Asian-Pac-Islander,Male,0,0,40,?,<=50K +22,Private,283969,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Mexico,<=50K +32,Self-emp-not-inc,35595,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +25,Private,410240,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +66,Private,178120,5th-6th,3,Divorced,Priv-house-serv,Not-in-family,Black,Female,0,0,15,United-States,<=50K +26,State-gov,294400,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,<=50K +46,Private,65353,Some-college,10,Divorced,Transport-moving,Own-child,White,Male,3325,0,55,United-States,<=50K +55,Private,189719,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +24,Private,23438,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,178037,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K +22,Private,109815,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,197860,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,271933,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +54,Private,141663,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,15,United-States,<=50K +19,?,199609,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +56,Private,92215,9th,5,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,>50K +47,Private,93449,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,60,Japan,<=50K +29,Private,235393,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +53,Private,151864,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,189277,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +50,?,204577,Bachelors,13,Married-civ-spouse,?,Husband,Black,Male,0,1902,60,United-States,>50K +42,Private,344572,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +21,Private,265356,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +36,Self-emp-inc,166880,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,70,United-States,<=50K +60,Private,188650,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,?,>50K +69,Private,213249,Assoc-voc,11,Widowed,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +31,Private,112627,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +48,Private,125120,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,55,United-States,<=50K +23,Private,60409,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,243190,Assoc-acdm,12,Separated,Craft-repair,Unmarried,Asian-Pac-Islander,Male,8614,0,40,United-States,>50K +47,Private,583755,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K +36,Private,68089,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +39,Private,306646,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +22,Private,186573,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Female,0,0,46,United-States,<=50K +27,Private,279580,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,10520,0,45,United-States,>50K +36,Private,437909,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,420691,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +33,Federal-gov,94193,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,154076,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +52,Private,145879,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K +23,Private,208946,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,32,United-States,<=50K +33,Private,231826,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +30,Private,178587,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +35,Private,213208,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,38,Jamaica,<=50K +35,?,139770,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,>50K +27,Private,153869,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,37,United-States,<=50K +24,Private,88676,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +44,Local-gov,151089,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,138621,Assoc-voc,11,Separated,Priv-house-serv,Not-in-family,Black,Female,0,0,20,United-States,<=50K +45,Private,30457,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +75,Self-emp-not-inc,213349,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K +47,Private,192776,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +64,Private,192884,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +54,Private,103024,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Male,0,0,42,United-States,>50K +41,Federal-gov,510072,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +33,Private,178615,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,249956,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +51,Private,177705,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +45,Self-emp-inc,121124,Prof-school,15,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K +18,?,25837,11th,7,Never-married,?,Own-child,White,Male,0,0,72,United-States,<=50K +43,Private,557349,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Yugoslavia,<=50K +30,Private,89735,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,1504,40,United-States,<=50K +32,Private,222548,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +45,Private,47314,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,?,>50K +61,Private,316359,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,200089,1st-4th,2,Married-civ-spouse,Other-service,Other-relative,White,Male,0,0,40,England,<=50K +56,Private,271795,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,49,United-States,<=50K +28,Private,31801,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,60,United-States,<=50K +23,Private,196508,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,40,United-States,<=50K +55,Private,189933,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,84,United-States,<=50K +27,?,501172,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,419,20,Mexico,<=50K +33,Private,361497,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K +22,Private,150175,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +43,Local-gov,155106,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,62272,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,189916,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +18,Private,324011,9th,5,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K +35,Private,105803,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +67,?,53588,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,107998,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +19,Private,340567,1st-4th,2,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,55,Mexico,<=50K +39,Private,167777,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +29,Private,228860,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K +45,Self-emp-inc,40666,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +44,Private,277488,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,40,United-States,>50K +42,Local-gov,195897,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,242984,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Local-gov,236497,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +18,?,312634,11th,7,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +64,Private,59829,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,France,<=50K +30,Private,24292,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +43,Local-gov,180407,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,42,Germany,<=50K +49,Self-emp-not-inc,121238,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +35,Private,281982,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +37,Self-emp-not-inc,348739,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +49,Private,194189,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,329130,11th,7,Separated,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,205939,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,2202,0,4,United-States,<=50K +31,Private,62165,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +26,Private,224361,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,34722,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +38,Private,175972,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +33,Self-emp-not-inc,359428,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +24,?,138504,HS-grad,9,Separated,?,Unmarried,Black,Female,0,0,37,United-States,<=50K +18,Private,268952,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +32,Private,257978,Assoc-voc,11,Widowed,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +27,Private,118799,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,State-gov,78356,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,Jamaica,<=50K +30,Self-emp-not-inc,609789,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,123157,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,38,United-States,<=50K +74,Private,84197,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,0,10,United-States,<=50K +36,Private,162312,HS-grad,9,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,70,South,<=50K +36,Private,138441,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,55,United-States,<=50K +29,Private,239753,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,2057,20,United-States,<=50K +39,Private,262158,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +25,Self-emp-inc,133373,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,80,United-States,<=50K +21,Private,57916,HS-grad,9,Separated,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +39,State-gov,142897,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +38,Private,161016,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K +20,Private,227491,HS-grad,9,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,25,United-States,<=50K +51,Private,306790,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,33831,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,188972,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Private,313546,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +38,Private,220585,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +25,Local-gov,476599,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,163665,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +36,Private,306646,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +41,Private,206470,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Germany,<=50K +34,Private,169583,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +19,State-gov,127085,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K +18,Private,152044,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,3,United-States,<=50K +36,Private,111387,10th,6,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,102318,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,40,United-States,>50K +29,Private,213692,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K +23,Private,163665,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,32,United-States,<=50K +35,Private,30529,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,290226,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,182136,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,73266,Some-college,10,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +19,State-gov,60412,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +70,Private,187891,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,194304,Some-college,10,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,55,United-States,<=50K +35,Private,160910,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +25,Private,148300,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +39,Private,165743,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +50,Private,123174,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,37,?,>50K +43,Private,184018,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +37,Federal-gov,188069,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Philippines,>50K +51,Private,138852,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,7298,0,40,El-Salvador,>50K +29,?,78529,10th,6,Separated,?,Unmarried,White,Female,0,0,12,United-States,<=50K +20,Private,164441,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +21,Private,199419,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,181342,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,Black,Female,0,0,40,United-States,<=50K +44,Private,173382,Assoc-acdm,12,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +17,Private,184924,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,1719,15,United-States,<=50K +25,Private,215384,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,State-gov,424094,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Federal-gov,212120,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +42,Private,185764,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K +46,Local-gov,133969,Masters,14,Divorced,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +22,Private,32616,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +49,Private,149210,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +21,Private,161210,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +53,Private,285621,Masters,14,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +43,Private,282069,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,42,United-States,<=50K +22,Private,97508,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K +33,Private,356823,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,10520,0,45,United-States,>50K +28,Private,171133,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,231638,Some-college,10,Never-married,Tech-support,Unmarried,White,Female,0,0,24,United-States,<=50K +40,Private,191342,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,China,>50K +50,Private,226497,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +48,Self-emp-not-inc,373606,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,65,United-States,>50K +30,Private,39150,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,288840,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,38,United-States,<=50K +34,Private,293703,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +42,Private,79586,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +48,Self-emp-not-inc,82098,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,65,United-States,<=50K +38,Private,245372,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K +29,Private,78261,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,355996,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +64,Private,218490,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,27828,0,55,United-States,>50K +44,Private,110908,Assoc-voc,11,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,25,United-States,<=50K +42,Federal-gov,34218,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K +49,Private,248895,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +25,Private,363707,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,272411,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,128033,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +20,Private,177287,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K +44,Private,197344,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K +45,Private,285858,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +27,Self-emp-inc,193868,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +18,Private,232082,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,27408,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K +45,Private,247043,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K +27,Local-gov,162404,HS-grad,9,Never-married,Protective-serv,Not-in-family,Black,Male,2174,0,40,United-States,<=50K +64,Private,236341,5th-6th,3,Widowed,Other-service,Not-in-family,Black,Female,0,0,16,United-States,<=50K +66,Local-gov,179285,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3432,0,20,United-States,<=50K +34,Private,30433,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +45,Self-emp-not-inc,102771,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +42,Self-emp-not-inc,221172,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,108116,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,United-States,>50K +26,Private,375499,10th,6,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,20,United-States,<=50K +27,Private,178688,Assoc-voc,11,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +21,Private,276709,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K +23,?,238087,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +47,Private,84790,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,State-gov,37482,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +46,State-gov,178686,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +35,?,153926,HS-grad,9,Married-civ-spouse,?,Wife,Black,Female,0,0,40,United-States,<=50K +55,Private,110748,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K +28,Private,116613,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,24,United-States,<=50K +21,Private,108687,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,365739,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,195284,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,>50K +38,Private,125933,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,>50K +37,Private,140854,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +81,Self-emp-not-inc,193237,1st-4th,2,Widowed,Sales,Other-relative,White,Male,0,0,45,Mexico,<=50K +41,Private,46870,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,351324,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +30,Self-emp-not-inc,189265,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,236564,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Federal-gov,557644,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,374454,HS-grad,9,Divorced,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K +65,?,160654,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +18,Private,122775,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +26,Private,214413,11th,7,Never-married,Machine-op-inspct,Unmarried,White,Male,6497,0,48,United-States,<=50K +30,Private,329425,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,48,United-States,<=50K +61,Private,178312,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,<=50K +21,Private,241951,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K +53,Private,130143,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +41,Self-emp-inc,114580,Prof-school,15,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,2415,55,United-States,>50K +43,Self-emp-inc,130126,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K +60,Private,399387,7th-8th,4,Separated,Priv-house-serv,Unmarried,Black,Female,0,0,15,United-States,<=50K +47,Private,163814,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,69586,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +32,Private,237903,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +25,?,219897,Masters,14,Never-married,?,Not-in-family,White,Female,0,0,35,Canada,<=50K +31,Private,243165,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +33,State-gov,173806,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +27,Self-emp-not-inc,65308,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +44,Private,408531,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,>50K +44,Private,235786,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,45,United-States,>50K +37,Private,314963,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,81206,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +51,Federal-gov,293196,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +51,Private,95329,Masters,14,Divorced,Protective-serv,Unmarried,White,Male,0,0,40,United-States,<=50K +25,Local-gov,45474,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +25,Private,372728,Bachelors,13,Never-married,Other-service,Not-in-family,Black,Female,0,0,24,Jamaica,<=50K +29,Federal-gov,116394,Bachelors,13,Married-AF-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +36,Self-emp-not-inc,34180,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,70,United-States,>50K +55,Private,327589,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,706180,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,32550,10th,6,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,173858,Prof-school,15,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K +51,Self-emp-inc,230095,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +30,Private,139012,Assoc-voc,11,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Male,2463,0,40,Vietnam,<=50K +62,Private,174711,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K +37,Private,171150,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,60,United-States,>50K +30,Self-emp-inc,77689,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K +27,Private,193898,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,52,United-States,<=50K +32,Private,195000,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,45,United-States,>50K +23,Private,303121,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +35,Self-emp-not-inc,188540,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +46,Private,158656,Assoc-acdm,12,Never-married,Prof-specialty,Unmarried,White,Female,0,0,36,United-States,<=50K +45,Self-emp-inc,204196,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,>50K +27,Private,183802,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,148995,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +22,Private,190903,11th,7,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K +37,State-gov,173780,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,30,United-States,<=50K +42,Private,251239,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +45,Private,112761,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +33,State-gov,425785,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,197731,Assoc-voc,11,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +24,Private,119156,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,50,United-States,<=50K +56,Private,133819,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,185556,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,12,United-States,>50K +50,Private,109277,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +48,Self-emp-inc,36020,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +45,Private,45857,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,36,United-States,<=50K +55,Private,184882,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,50,United-States,>50K +41,State-gov,342834,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +66,Private,234743,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,24,United-States,<=50K +29,Federal-gov,106179,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,1408,40,United-States,<=50K +37,Private,177895,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,5013,0,40,United-States,<=50K +63,?,257876,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,86067,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K +64,Private,66634,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,27828,0,50,United-States,>50K +35,Private,138441,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,35,United-States,<=50K +22,Private,279802,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +58,Private,407138,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2936,0,50,Mexico,<=50K +58,Private,31732,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +24,Private,204172,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,48,United-States,<=50K +34,Private,100593,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,6,United-States,<=50K +33,Local-gov,162623,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +33,Self-emp-not-inc,80933,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +17,Private,47425,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +27,Private,107812,Bachelors,13,Married-civ-spouse,Sales,Other-relative,White,Male,0,0,40,United-States,>50K +20,Self-emp-inc,104443,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +52,Private,117496,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,1755,40,United-States,>50K +30,Private,209691,7th-8th,4,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,314525,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,190772,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +64,Local-gov,199298,5th-6th,3,Divorced,Other-service,Not-in-family,White,Female,0,0,45,?,<=50K +49,Private,187370,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +38,Private,216129,Bachelors,13,Divorced,Other-service,Not-in-family,Black,Female,0,0,60,?,<=50K +46,Federal-gov,219293,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,80,United-States,>50K +17,Private,136363,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +45,Private,233799,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +27,Private,207611,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +45,Self-emp-inc,178344,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +26,Self-emp-inc,187652,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,78,United-States,>50K +23,Private,188545,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,1974,20,United-States,<=50K +44,Local-gov,58124,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,45,United-States,<=50K +36,Private,321733,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,1741,40,United-States,<=50K +35,Private,206253,9th,5,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,?,152140,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +56,Private,76281,Bachelors,13,Married-spouse-absent,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Private,606752,Masters,14,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,29933,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,>50K +29,Private,114158,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,3325,0,10,United-States,<=50K +55,?,227203,Assoc-acdm,12,Married-spouse-absent,?,Not-in-family,White,Female,0,0,5,United-States,<=50K +35,Self-emp-inc,65624,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +37,Private,34146,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,68,United-States,<=50K +36,Self-emp-not-inc,34378,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,3908,0,75,United-States,<=50K +33,Private,141490,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,45,United-States,<=50K +34,Private,199227,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +24,Private,224954,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,231357,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Self-emp-inc,113530,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +38,Private,22245,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,36383,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Mexico,>50K +35,Private,320305,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K +67,?,201657,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,60,United-States,<=50K +34,Private,48935,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +46,Private,101455,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +19,Local-gov,243960,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K +26,Private,90915,Assoc-acdm,12,Never-married,Other-service,Own-child,Black,Female,0,0,15,United-States,<=50K +28,Private,315287,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +47,Private,106255,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Local-gov,215895,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Italy,>50K +33,Self-emp-not-inc,170979,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +44,Private,210525,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +30,Private,195488,HS-grad,9,Never-married,Priv-house-serv,Own-child,White,Female,0,0,40,Guatemala,<=50K +18,Private,152246,Some-college,10,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,16,United-States,<=50K +60,Self-emp-not-inc,187794,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,60,United-States,>50K +44,Private,110396,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,14084,0,56,United-States,>50K +81,?,89391,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,>50K +43,State-gov,254817,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,41777,12th,8,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,20,United-States,<=50K +58,Self-emp-not-inc,234841,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K +32,Private,79586,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K +40,Private,115331,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K +32,Private,63564,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +21,Private,132053,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,1721,35,United-States,<=50K +44,Private,370502,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,Mexico,<=50K +33,Private,59083,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,45,United-States,>50K +25,Private,69413,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +42,Private,32981,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,176683,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +62,?,144116,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +31,Self-emp-not-inc,209213,HS-grad,9,Never-married,Sales,Not-in-family,Black,Male,0,0,40,?,<=50K +33,State-gov,150657,Bachelors,13,Never-married,Prof-specialty,Other-relative,Black,Female,0,0,40,United-States,<=50K +50,Self-emp-not-inc,124793,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +50,Private,22211,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +46,Private,270565,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +22,Private,38251,Assoc-acdm,12,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +66,State-gov,162945,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,Black,Male,20051,0,55,United-States,>50K +52,Private,195638,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K +57,Self-emp-not-inc,118806,1st-4th,2,Widowed,Craft-repair,Other-relative,White,Female,0,1602,45,Columbia,<=50K +41,Self-emp-not-inc,44006,Assoc-voc,11,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,119679,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1579,42,United-States,<=50K +19,Private,333953,12th,8,Never-married,Other-service,Other-relative,White,Female,0,0,30,United-States,<=50K +45,Local-gov,172111,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,60,United-States,<=50K +51,Self-emp-not-inc,32372,12th,8,Married-civ-spouse,Other-service,Husband,White,Male,0,0,99,United-States,<=50K +69,?,117525,Assoc-acdm,12,Divorced,?,Unmarried,White,Female,0,0,1,United-States,<=50K +45,Self-emp-not-inc,123681,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +48,Private,317360,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +60,Federal-gov,119832,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K +42,Private,135056,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +19,State-gov,135162,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +39,Self-emp-not-inc,194004,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K +46,Private,177633,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +58,Local-gov,212864,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,3908,0,40,United-States,<=50K +36,Private,30509,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K +21,Private,118712,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K +41,Private,199018,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +17,Private,151799,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +29,Private,181280,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,232024,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +33,Private,226267,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Mexico,<=50K +38,Private,240467,Masters,14,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,35,United-States,<=50K +42,Private,154374,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +24,State-gov,231473,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,United-States,<=50K +59,Private,158813,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +36,Private,346478,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2415,45,United-States,>50K +54,Private,215990,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,7688,0,40,United-States,>50K +39,Private,177154,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +42,Self-emp-not-inc,238188,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,96,United-States,<=50K +54,Self-emp-not-inc,156800,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +26,Private,130620,Assoc-acdm,12,Married-spouse-absent,Craft-repair,Other-relative,Asian-Pac-Islander,Female,0,0,40,?,<=50K +50,Private,175339,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +42,Private,37937,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K +48,Federal-gov,166634,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,40,United-States,>50K +31,Private,221167,Bachelors,13,Widowed,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +56,Private,179641,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +28,Local-gov,213195,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +34,Private,157747,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +28,Private,227840,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,169104,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K +44,Private,186916,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,60,United-States,>50K +34,Private,37646,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K +26,Private,157028,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K +37,Private,188774,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,2824,40,United-States,>50K +64,?,146272,Some-college,10,Married-civ-spouse,?,Husband,White,Male,3411,0,15,United-States,<=50K +25,Private,182656,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +48,Self-emp-not-inc,200471,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,358465,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,78602,11th,7,Never-married,Other-service,Other-relative,White,Female,0,0,20,United-States,<=50K +44,Private,213416,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +46,Local-gov,345911,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,?,119522,Bachelors,13,Divorced,?,Not-in-family,White,Male,0,0,50,United-States,<=50K +42,Federal-gov,126320,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,235271,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +61,Private,141745,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +47,Private,359461,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,109351,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,8614,0,45,United-States,>50K +62,Private,148113,10th,6,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +62,Self-emp-not-inc,75478,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,100375,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K +19,?,28455,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +33,Private,231413,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +39,Local-gov,119421,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,42,United-States,<=50K +17,Private,206998,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K +58,Private,183810,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +35,Self-emp-inc,187053,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +34,Local-gov,155781,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,4064,0,50,United-States,<=50K +55,?,193895,7th-8th,4,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,48520,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,Self-emp-inc,170125,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,107584,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,196742,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +52,?,244214,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K +48,Local-gov,127921,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,42617,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +47,Local-gov,191389,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +38,Private,187983,Prof-school,15,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +18,Private,215110,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +25,Private,230292,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,90159,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,32,United-States,>50K +40,Private,175398,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +56,Self-emp-not-inc,53366,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +50,Private,46155,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K +55,Private,61708,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,6418,0,50,United-States,>50K +32,Local-gov,112650,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,173682,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,>50K +28,Private,160981,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,52,United-States,<=50K +53,Private,72257,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +26,?,182332,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +60,Local-gov,48788,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,5455,0,55,United-States,<=50K +21,Private,417668,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +29,Private,107458,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +73,Private,147551,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2174,50,United-States,>50K +43,Self-emp-inc,33729,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +45,Private,101977,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +35,?,374716,9th,5,Married-civ-spouse,?,Wife,White,Female,0,0,35,United-States,<=50K +36,Private,214378,HS-grad,9,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,>50K +25,Private,111243,HS-grad,9,Never-married,Sales,Other-relative,White,Female,0,0,50,United-States,<=50K +38,Private,252947,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +30,Local-gov,118500,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Private,195612,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +41,Local-gov,174575,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,190391,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +64,Private,166715,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K +41,Self-emp-not-inc,142725,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +37,Private,73471,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,47,United-States,>50K +51,Private,241745,5th-6th,3,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,Mexico,<=50K +35,Private,316141,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,7443,0,40,United-States,<=50K +61,Local-gov,248595,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +52,Private,90189,7th-8th,4,Divorced,Priv-house-serv,Own-child,Black,Female,0,0,16,United-States,<=50K +40,Private,205195,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +20,Private,148940,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +52,Local-gov,298035,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,154728,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +49,Private,166809,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K +36,State-gov,97136,Bachelors,13,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +33,Private,347623,Masters,14,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +40,Private,117917,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K +45,Private,266860,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +22,Private,71864,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,35,United-States,<=50K +47,Private,158451,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,2,United-States,>50K +24,Private,229826,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +19,Private,121788,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +40,Private,151365,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,360884,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,50,United-States,>50K +54,Private,36480,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +43,Self-emp-not-inc,116666,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,35,United-States,>50K +63,Local-gov,214143,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Cuba,<=50K +18,Private,45316,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +19,Private,311974,1st-4th,2,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K +49,Self-emp-not-inc,48495,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +27,Private,115945,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +49,Local-gov,170846,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +60,Private,142922,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +71,?,181301,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,286675,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,233168,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,46,United-States,>50K +30,Private,177304,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K +46,Private,336984,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,17,United-States,<=50K +32,Self-emp-not-inc,379412,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,180778,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,75,United-States,<=50K +25,Private,141876,Masters,14,Never-married,Prof-specialty,Unmarried,White,Male,0,0,45,?,<=50K +22,Private,228306,Some-college,10,Married-AF-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K +32,Private,329993,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,247469,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,>50K +51,Private,673764,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,27828,0,40,United-States,>50K +20,Private,155775,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K +34,Private,81223,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,48,United-States,<=50K +40,Private,236021,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +34,State-gov,103371,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,199480,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +53,Private,152657,10th,6,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +42,Federal-gov,460214,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +38,Private,91039,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +41,Private,197372,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +64,?,267198,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K +30,State-gov,111883,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,66917,11th,7,Married-civ-spouse,Farming-fishing,Own-child,White,Male,0,0,40,Mexico,<=50K +19,Private,292583,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +20,Private,391679,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,60,United-States,<=50K +35,Private,475324,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +33,Self-emp-not-inc,218164,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,101534,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,15,United-States,>50K +38,Federal-gov,65706,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K +50,Self-emp-not-inc,156606,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,<=50K +23,Private,200967,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +30,Local-gov,164493,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +33,Private,547886,Bachelors,13,Separated,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +48,Private,232145,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,96421,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,24,Outlying-US(Guam-USVI-etc),<=50K +33,Private,554206,Some-college,10,Never-married,Tech-support,Not-in-family,Black,Male,0,0,40,Philippines,<=50K +50,Local-gov,234143,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,45,United-States,>50K +23,Private,380544,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +36,Local-gov,103886,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K +50,State-gov,54709,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,46,United-States,<=50K +26,Private,276548,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,20,United-States,<=50K +55,Local-gov,176046,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,2267,40,United-States,<=50K +37,Private,114605,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,323713,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,261382,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,223548,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,Mexico,<=50K +47,Self-emp-not-inc,355978,Doctorate,16,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2002,45,United-States,<=50K +44,Private,107218,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +28,Self-emp-not-inc,31717,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,328947,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Private,148431,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,121602,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,244087,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +31,Private,83425,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,157308,11th,7,Married-civ-spouse,Handlers-cleaners,Wife,Asian-Pac-Islander,Female,2829,0,14,Philippines,<=50K +23,Private,57898,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,30,United-States,<=50K +40,State-gov,175304,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +66,Self-emp-inc,102663,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +17,Private,99175,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +37,Private,208358,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +69,Private,361561,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,3,United-States,<=50K +23,Private,215115,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Federal-gov,207066,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K +37,Federal-gov,160910,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,64879,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,430035,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,54,Mexico,<=50K +37,State-gov,74163,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Self-emp-inc,98389,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +23,Private,386019,9th,5,Never-married,Farming-fishing,Unmarried,White,Male,0,0,70,United-States,<=50K +17,Private,112795,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +48,Private,332465,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +17,Private,38611,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,23,United-States,<=50K +55,Private,368797,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K +35,Private,24106,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +68,?,108683,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,12,United-States,>50K +35,Self-emp-not-inc,241998,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +53,Private,312446,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +43,Private,69333,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +36,Private,172538,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,275884,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +45,Private,43479,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K +34,Private,199864,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,2057,40,United-States,<=50K +56,Private,235197,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +36,Private,170376,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +22,Private,325179,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,United-States,<=50K +19,?,351195,9th,5,Never-married,?,Other-relative,White,Male,0,1719,35,El-Salvador,<=50K +33,Private,141841,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,36,United-States,<=50K +48,Private,207817,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,32,Columbia,<=50K +20,Private,137974,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +64,Self-emp-inc,161325,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,1887,50,United-States,>50K +47,Private,293623,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Dominican-Republic,<=50K +20,Private,37783,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +44,Federal-gov,308027,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +45,Self-emp-not-inc,149218,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,77,United-States,<=50K +45,Local-gov,374450,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,5178,0,40,United-States,>50K +45,Local-gov,61885,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,37,United-States,>50K +27,State-gov,291196,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +41,Private,45366,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,United-States,>50K +20,Private,203027,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,55,United-States,<=50K +54,Self-emp-inc,223752,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,?,>50K +17,Private,132680,10th,6,Never-married,Other-service,Own-child,White,Female,0,1602,10,United-States,<=50K +50,Private,155574,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +31,State-gov,193565,Masters,14,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,123598,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +44,Private,456236,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,163229,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +28,Local-gov,419740,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,52,United-States,<=50K +43,Local-gov,118853,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,4386,0,99,United-States,>50K +33,Private,31449,Assoc-acdm,12,Divorced,Machine-op-inspct,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +35,Private,204163,Some-college,10,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,55,United-States,<=50K +17,Private,177629,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +25,Private,186370,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,188307,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,55481,Masters,14,Never-married,Tech-support,Unmarried,White,Male,0,0,45,Nicaragua,<=50K +48,Private,119471,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,56,Philippines,>50K +61,Local-gov,167347,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K +41,Private,184378,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,348960,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K +24,Local-gov,69640,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,297457,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K +18,Private,279593,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,2,United-States,<=50K +20,Private,211968,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K +18,Private,194561,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K +23,Private,140414,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,State-gov,24763,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,45,United-States,>50K +38,State-gov,462832,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,Trinadad&Tobago,<=50K +36,Private,48972,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Self-emp-not-inc,35032,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +47,Private,228583,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K +51,Private,392668,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,84,United-States,>50K +35,Private,108140,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,State-gov,112497,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K +47,Federal-gov,142581,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K +26,Private,147982,11th,7,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,State-gov,440129,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K +46,Private,200734,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,35,Trinadad&Tobago,<=50K +49,Private,31807,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,166153,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +45,Self-emp-inc,212954,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +46,Private,52291,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K +70,Self-emp-not-inc,303588,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,<=50K +19,Private,96176,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +46,Private,184632,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +20,Private,137618,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,35,United-States,<=50K +17,Private,160029,11th,7,Never-married,Other-service,Other-relative,White,Female,0,0,22,United-States,<=50K +43,Private,178780,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,49,United-States,>50K +19,Private,39756,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +37,Private,35309,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,117253,HS-grad,9,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Local-gov,303212,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +24,Private,214542,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,60,Canada,<=50K +31,Private,342019,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,126668,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,50,United-States,>50K +27,Private,401508,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +40,Private,25005,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,99,United-States,>50K +30,Self-emp-not-inc,85708,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,115677,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Male,0,0,32,United-States,<=50K +25,Private,144259,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,50,United-States,<=50K +22,Private,197583,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +21,State-gov,142766,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +67,?,132626,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K +35,Self-emp-inc,185621,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,>50K +54,Local-gov,29887,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,56,United-States,<=50K +36,Private,117381,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,211482,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +32,Federal-gov,90653,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,1380,40,United-States,<=50K +55,Private,209535,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Federal-gov,187873,Masters,14,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,174732,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,25,United-States,<=50K +36,Private,297847,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,2001,40,United-States,<=50K +58,Private,110213,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K +35,Private,162601,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,108438,10th,6,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +40,Self-emp-inc,132222,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,174394,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +71,Self-emp-not-inc,322789,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Amer-Indian-Eskimo,Male,0,0,35,United-States,<=50K +51,Federal-gov,72436,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,57,United-States,>50K +27,?,60726,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +20,Private,190273,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +33,?,393376,11th,7,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,140571,Assoc-voc,11,Divorced,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +28,Private,584790,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +23,Private,197666,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,24,Greece,<=50K +36,Private,245090,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,50,El-Salvador,<=50K +42,Private,192569,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,39,United-States,>50K +31,Local-gov,158291,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,8614,0,40,United-States,>50K +19,?,113915,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,10,United-States,<=50K +38,Local-gov,287658,Masters,14,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,Jamaica,<=50K +22,Private,192455,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,317040,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,54,United-States,<=50K +36,Private,218689,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,1977,50,United-States,>50K +17,Private,116626,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,1719,18,United-States,<=50K +30,Federal-gov,48458,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +35,Self-emp-not-inc,241469,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,2635,0,30,United-States,<=50K +32,Private,167990,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,14084,0,40,United-States,>50K +42,Private,261929,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +54,Private,425804,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K +36,Private,33394,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,35,United-States,>50K +58,Private,72812,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,89040,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +62,Local-gov,164518,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +51,Private,182740,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +52,Private,361875,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +25,Private,197130,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +26,Private,340335,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,293984,10th,6,Married-civ-spouse,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +59,State-gov,261584,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,Outlying-US(Guam-USVI-etc),<=50K +21,Private,170302,HS-grad,9,Never-married,Farming-fishing,Other-relative,White,Male,0,0,50,United-States,<=50K +45,Private,481987,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,18,United-States,>50K +26,Private,88449,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K +68,Self-emp-not-inc,261897,10th,6,Widowed,Farming-fishing,Unmarried,White,Male,0,0,20,United-States,<=50K +60,Private,250552,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +65,Private,88513,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,18,United-States,<=50K +41,Private,168293,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +34,Private,283921,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +28,Private,407043,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +40,Private,63745,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,Private,49893,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +37,Private,241962,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +34,Private,338416,10th,6,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,60,United-States,<=50K +21,?,212888,11th,7,Married-civ-spouse,?,Wife,White,Female,0,0,56,United-States,<=50K +57,Federal-gov,310320,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,>50K +55,Private,359972,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K +51,Private,64643,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,?,<=50K +56,Private,125000,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +32,Private,286675,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +18,Private,165532,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +48,Private,349986,Assoc-voc,11,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,213140,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +41,Federal-gov,219155,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,India,>50K +33,Private,183612,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K +33,Private,391114,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,219632,5th-6th,3,Married-spouse-absent,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K +46,Self-emp-inc,320124,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,Amer-Indian-Eskimo,Female,15024,0,40,United-States,>50K +40,Private,799281,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +42,Private,657397,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +31,State-gov,373432,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,55,United-States,>50K +51,Private,168660,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,191149,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,57,United-States,<=50K +37,Private,356824,HS-grad,9,Separated,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,191782,11th,7,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +63,Self-emp-not-inc,29859,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,7688,0,60,United-States,>50K +52,Private,204226,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +42,Local-gov,246862,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,3325,0,40,United-States,<=50K +28,Private,496526,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,426431,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,10520,0,40,United-States,>50K +34,Private,84154,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +37,Federal-gov,45937,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +31,Private,130021,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +35,Private,63021,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +25,Private,367306,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +38,Private,65624,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,144928,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K +22,Private,117747,Some-college,10,Never-married,Craft-repair,Other-relative,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +18,Private,266681,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +26,Private,152035,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,190023,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +43,Private,233130,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K +21,Private,149637,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +62,Federal-gov,224277,Some-college,10,Widowed,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,121559,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,230951,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +18,Private,345285,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +65,Self-emp-not-inc,28367,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +41,Private,320744,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,3325,0,50,United-States,<=50K +31,Private,243773,9th,5,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +56,Private,151474,9th,5,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +50,Private,135465,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +22,Private,210781,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +36,Local-gov,359001,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,<=50K +48,Private,119471,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K +30,Private,226396,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K +35,Private,283122,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K +37,Self-emp-not-inc,326400,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K +32,?,169186,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,5,United-States,<=50K +56,Private,158752,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K +29,?,208406,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,35,United-States,<=50K +41,Private,96741,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K +38,State-gov,255191,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,177733,9th,5,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,35,Dominican-Republic,<=50K +54,State-gov,137815,12th,8,Never-married,Other-service,Own-child,White,Male,4101,0,40,United-States,<=50K +36,?,187203,Assoc-voc,11,Divorced,?,Own-child,White,Male,0,0,50,United-States,<=50K +42,Private,168515,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,122672,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +21,Private,195199,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K +69,Local-gov,179813,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,10,United-States,<=50K +32,Private,178623,Assoc-acdm,12,Never-married,Sales,Not-in-family,Black,Female,0,0,46,Trinadad&Tobago,<=50K +50,Private,41890,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,373050,12th,8,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K +45,Private,80430,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,198613,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K +24,Private,330571,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +28,Private,209205,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K +21,Private,132243,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,5,United-States,<=50K +43,Self-emp-not-inc,237670,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,25,United-States,<=50K +22,Private,193586,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +62,Self-emp-not-inc,197353,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K +21,Self-emp-not-inc,74538,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,25,United-States,<=50K +37,Private,89718,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +34,Private,93169,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +74,Self-emp-not-inc,292915,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1825,12,United-States,>50K +43,Private,328570,Some-college,10,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,38,United-States,<=50K +25,Private,312157,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,193459,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,236804,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,126223,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +51,State-gov,172281,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +64,Private,153894,Bachelors,13,Never-married,Sales,Unmarried,White,Female,0,0,40,Peru,<=50K +35,Private,331395,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +69,Self-emp-not-inc,92472,10th,6,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,3273,0,45,United-States,<=50K +32,Private,318647,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +20,Private,332931,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +66,Self-emp-inc,76212,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +31,Private,301168,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Italy,<=50K +22,Private,440969,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K +32,Private,154950,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,218343,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +21,Private,239577,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,247936,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,2,Taiwan,<=50K +62,Local-gov,203525,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,40,United-States,<=50K +24,Private,182342,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,25649,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,50,United-States,>50K +27,Private,243569,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3942,0,40,United-States,<=50K +38,Private,187870,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,90,United-States,>50K +20,?,289116,Some-college,10,Never-married,?,Own-child,White,Female,0,0,5,United-States,<=50K +30,Private,487330,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,United-States,<=50K +17,?,34019,10th,6,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +17,?,250541,11th,7,Never-married,?,Own-child,Black,Male,0,0,8,United-States,<=50K +21,Self-emp-not-inc,318987,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +56,Self-emp-not-inc,140558,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +59,Local-gov,303455,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,4787,0,60,United-States,>50K +37,Self-emp-not-inc,76855,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +52,Private,308764,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +50,Federal-gov,339905,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +55,Private,227856,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,United-States,>50K +55,Private,156430,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +45,?,98265,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +72,Private,116640,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,3471,0,20,United-States,<=50K +39,Private,187167,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,184078,12th,8,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,108140,Bachelors,13,Divorced,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K +44,Private,150533,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,1876,55,United-States,<=50K +51,Self-emp-not-inc,313702,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,39803,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,1719,36,United-States,<=50K +25,Private,252752,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Female,0,0,45,United-States,<=50K +52,Private,111700,Some-college,10,Divorced,Sales,Other-relative,White,Female,0,0,20,United-States,>50K +45,Private,361842,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,231438,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K +20,Private,178469,HS-grad,9,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,15,?,<=50K +64,Local-gov,116620,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K +34,Private,112212,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1485,40,United-States,<=50K +74,Self-emp-not-inc,109101,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,4,United-States,<=50K +58,Federal-gov,72998,11th,7,Divorced,Craft-repair,Not-in-family,Black,Female,14084,0,40,United-States,>50K +44,Private,147265,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +23,State-gov,314645,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +23,Private,444554,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K +27,Private,129629,Assoc-voc,11,Never-married,Tech-support,Other-relative,White,Female,0,0,36,United-States,<=50K +34,Private,106761,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +18,Private,189924,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K +33,Private,311194,11th,7,Never-married,Sales,Unmarried,Black,Female,0,0,17,United-States,<=50K +50,Self-emp-not-inc,89737,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +47,Private,49298,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +50,Self-emp-inc,190333,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,55,United-States,>50K +18,Private,251923,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +49,Local-gov,298445,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,60,United-States,>50K +34,Private,180284,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +51,Private,154342,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K +56,State-gov,68658,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +64,Private,203783,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,8,United-States,<=50K +23,Private,250037,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,50,United-States,<=50K +33,Private,158688,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,214781,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +60,Federal-gov,404023,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,10520,0,40,United-States,>50K +57,State-gov,109015,12th,8,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,194630,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +23,Private,239375,Bachelors,13,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +54,Private,35576,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,2415,50,United-States,>50K +39,Federal-gov,363630,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,7688,0,52,United-States,>50K +32,Self-emp-not-inc,182926,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,117222,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,15,United-States,<=50K +30,Private,110643,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,52,United-States,<=50K +56,Self-emp-not-inc,170217,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +34,Private,193285,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,161075,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +59,Private,322691,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +19,Private,229431,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,11,United-States,<=50K +60,?,106282,9th,5,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,105694,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,42,United-States,<=50K +24,Private,199883,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +41,State-gov,100800,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +23,Private,256278,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Other-relative,Other,Female,0,0,30,El-Salvador,<=50K +32,Private,156464,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,50,United-States,>50K +51,Self-emp-inc,129525,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,40,?,<=50K +18,Private,285013,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,10,United-States,<=50K +28,Private,248911,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,?,<=50K +33,?,369386,Some-college,10,Married-civ-spouse,?,Wife,White,Female,5178,0,40,United-States,>50K +38,Private,219902,HS-grad,9,Separated,Transport-moving,Unmarried,Black,Female,0,0,30,United-States,<=50K +29,Private,375482,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,England,<=50K +25,Private,169124,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +31,Private,183000,Prof-school,15,Never-married,Tech-support,Not-in-family,White,Male,0,0,55,United-States,<=50K +34,Private,28053,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +34,Private,242984,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,45,United-States,>50K +66,State-gov,132055,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1825,40,United-States,>50K +41,Private,212894,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Guatemala,<=50K +62,Private,223975,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K +58,Private,357788,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +40,Private,406811,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,Canada,<=50K +24,Private,154422,Bachelors,13,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +47,Private,140644,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +19,Private,355477,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,25,United-States,<=50K +32,Private,151773,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +51,State-gov,341548,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,512771,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +60,?,141580,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,48988,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,201022,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K +20,Private,82777,HS-grad,9,Married-civ-spouse,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,152676,7th-8th,4,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,Puerto-Rico,<=50K +18,Private,115815,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,20,United-States,<=50K +23,Private,168009,10th,6,Married-civ-spouse,Machine-op-inspct,Own-child,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +28,Private,213152,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,?,>50K +55,Private,89690,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +40,Private,126868,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +52,Private,95128,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +37,Private,185567,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,>50K +21,Private,301408,Some-college,10,Never-married,Sales,Own-child,White,Female,0,1602,22,United-States,<=50K +35,Private,216256,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K +45,Private,182541,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,48,United-States,<=50K +39,Private,172855,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +54,Private,68684,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +42,Private,364832,7th-8th,4,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,?,264300,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K +59,Self-emp-inc,349910,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,276218,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +22,Private,251196,Some-college,10,Never-married,Protective-serv,Own-child,Black,Female,0,0,20,United-States,<=50K +33,Private,196898,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,58343,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +18,Self-emp-inc,101061,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,70,United-States,<=50K +46,Private,415051,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,>50K +24,Private,174043,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,129460,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,30,Ecuador,<=50K +21,State-gov,110946,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,43,United-States,<=50K +22,Private,313873,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K +61,Private,81132,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,7298,0,40,Philippines,>50K +56,Federal-gov,255386,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K +21,Private,191497,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +17,Private,128617,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,26,United-States,<=50K +29,Private,368949,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,?,>50K +28,Local-gov,263600,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +62,Private,257277,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +39,Private,339442,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Male,2176,0,40,United-States,<=50K +30,Local-gov,289442,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,?,162667,11th,7,Never-married,?,Unmarried,White,Male,0,0,40,El-Salvador,<=50K +18,Local-gov,466325,11th,7,Never-married,Adm-clerical,Own-child,White,Male,0,0,12,United-States,<=50K +54,Private,142169,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +49,Private,252079,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +33,State-gov,119628,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,Hong,<=50K +50,Private,175804,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +57,Private,70720,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,78,United-States,<=50K +50,State-gov,201513,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +45,Private,257609,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +41,Private,124692,Some-college,10,Married-civ-spouse,Exec-managerial,Own-child,White,Male,0,0,40,United-States,>50K +23,Private,268525,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +23,Private,250630,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,180277,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Hungary,<=50K +39,Self-emp-not-inc,191342,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,South,<=50K +29,Private,250967,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,48,United-States,>50K +46,Private,153254,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +18,Private,362600,5th-6th,3,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +68,Private,171933,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,211408,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +43,Private,48193,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,22463,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,440969,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +21,State-gov,164922,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +41,Local-gov,134524,Assoc-voc,11,Divorced,Craft-repair,Unmarried,White,Female,0,0,45,United-States,<=50K +61,Private,176689,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,220993,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +21,Private,512828,HS-grad,9,Never-married,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K +36,State-gov,422275,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +37,Local-gov,65291,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +69,Private,197080,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,9386,0,60,United-States,>50K +49,Federal-gov,181657,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +55,Private,190257,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,53,United-States,>50K +21,Private,238068,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,337046,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,187248,HS-grad,9,Married-civ-spouse,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +20,?,250037,Some-college,10,Never-married,?,Own-child,White,Female,0,0,18,?,<=50K +46,Private,285750,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,4064,0,55,United-States,<=50K +23,Private,260617,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,216999,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +36,Private,531055,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,48,United-States,>50K +42,State-gov,121265,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Local-gov,184466,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +45,Private,297676,Assoc-acdm,12,Widowed,Sales,Unmarried,White,Female,0,0,40,Cuba,<=50K +52,Private,114228,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K +22,Local-gov,121144,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,18,United-States,<=50K +20,Private,26842,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,2176,0,40,United-States,<=50K +27,Private,113054,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,43,United-States,<=50K +36,Private,256636,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,152246,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,52,United-States,<=50K +38,Private,108140,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +20,?,203353,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +47,Private,207207,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K +21,Private,115420,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +33,Private,80058,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Local-gov,48520,Assoc-acdm,12,Never-married,Protective-serv,Unmarried,White,Male,0,0,40,United-States,<=50K +61,Private,411652,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +46,Private,154405,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,45,United-States,<=50K +55,Local-gov,104917,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K +19,State-gov,261422,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +39,Private,48915,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +61,Private,172037,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,144833,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,275116,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +61,?,72886,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,38,United-States,>50K +61,Private,103575,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,37,United-States,<=50K +54,Private,200783,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +50,Self-emp-inc,152810,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,70,Germany,<=50K +37,Local-gov,44694,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +17,?,48703,11th,7,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +56,Private,91905,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,4,United-States,<=50K +31,Private,168906,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +32,State-gov,147215,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,>50K +28,Private,153546,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,35595,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,225507,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +42,Private,345504,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +64,Private,137205,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +29,Private,327779,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,20,United-States,<=50K +41,?,213416,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,32,Mexico,<=50K +45,Private,362883,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,131309,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +44,Private,188331,Some-college,10,Separated,Tech-support,Not-in-family,White,Female,0,0,38,United-States,<=50K +34,Federal-gov,194740,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,43711,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K +45,Private,187033,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,40,United-States,<=50K +23,Private,233923,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +51,Private,84278,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +24,Private,437666,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2885,0,50,United-States,<=50K +57,Private,186386,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Male,10520,0,40,United-States,>50K +23,Private,129767,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,1721,40,United-States,<=50K +34,Private,180284,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +36,Private,108320,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,4101,0,40,United-States,<=50K +56,Self-emp-inc,75214,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,32,United-States,>50K +42,Private,284758,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Self-emp-inc,188330,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +38,Private,333651,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,70,United-States,>50K +29,Local-gov,115305,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,40,United-States,>50K +54,Private,172962,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,1340,40,United-States,<=50K +40,Private,198096,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +29,Private,163265,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +35,Federal-gov,128608,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,107460,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,37,United-States,<=50K +51,Private,251841,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,<=50K +28,Private,403671,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,Mexico,<=50K +58,Private,159378,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +24,Private,170070,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,25,United-States,<=50K +46,State-gov,192323,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,135796,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,48,United-States,<=50K +22,Private,232985,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,20,United-States,<=50K +28,Private,34532,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Male,0,0,30,Jamaica,<=50K +17,?,371316,10th,6,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +23,Private,236994,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,60,United-States,<=50K +19,Private,208366,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +66,State-gov,102640,HS-grad,9,Widowed,Prof-specialty,Unmarried,Black,Female,0,0,35,United-States,<=50K +38,Private,111377,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +39,Federal-gov,472166,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +39,?,86551,12th,8,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,70943,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,40,United-States,>50K +39,Private,294919,HS-grad,9,Divorced,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K +22,Private,408383,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,255454,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,30,United-States,<=50K +32,Private,193260,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +29,?,191935,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Local-gov,125461,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Private,97005,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,183319,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +32,State-gov,167049,12th,8,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,185216,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,161838,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,57,United-States,<=50K +38,Private,165848,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K +21,Private,138816,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,20,United-States,<=50K +33,Self-emp-not-inc,99761,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K +34,Private,112139,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,129020,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +38,?,365465,Assoc-voc,11,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K +27,Self-emp-not-inc,259873,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,60,United-States,>50K +35,Self-emp-inc,89622,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +29,State-gov,201556,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +40,Private,176286,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,192894,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,30,United-States,<=50K +37,Private,172232,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K +38,Self-emp-not-inc,163204,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3411,0,25,United-States,<=50K +37,Private,265737,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1887,60,Cuba,>50K +44,Private,215304,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +25,Private,185952,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +38,Private,216845,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,42,United-States,<=50K +34,Local-gov,35683,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,10,United-States,<=50K +50,Self-emp-not-inc,371305,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,60,United-States,>50K +46,Private,102359,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +20,Private,200089,5th-6th,3,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,30,Guatemala,<=50K +47,State-gov,207120,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K +46,Private,295334,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +34,Private,234537,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +61,Private,142922,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +55,State-gov,181641,Some-college,10,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,37,United-States,<=50K +36,Private,185325,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,35,United-States,<=50K +28,Private,167336,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,10520,0,40,United-States,>50K +22,Private,379778,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,176117,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,35,United-States,<=50K +33,Private,100228,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +27,Private,150296,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K +43,Federal-gov,25005,Masters,14,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,5013,0,12,United-States,<=50K +55,Private,134120,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K +39,Self-emp-not-inc,251710,10th,6,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,1721,15,United-States,<=50K +20,Private,653574,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,33,El-Salvador,<=50K +38,Private,175441,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +30,Private,333119,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,89154,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,42,El-Salvador,<=50K +60,Private,198727,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +43,Private,87284,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,180686,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +23,Private,227070,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,48,El-Salvador,<=50K +57,Local-gov,189824,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,7298,0,40,United-States,>50K +25,Local-gov,348986,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K +38,Private,96185,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,32,United-States,<=50K +22,Private,112693,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +23,Private,417605,5th-6th,3,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +61,Self-emp-not-inc,140300,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,44,United-States,<=50K +28,Private,340408,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,46,United-States,<=50K +17,?,187539,11th,7,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K +21,Private,237051,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +49,Private,175622,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,389725,12th,8,Divorced,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +23,Private,182812,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,Dominican-Republic,<=50K +38,Self-emp-not-inc,245372,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,3137,0,50,United-States,<=50K +34,Local-gov,93886,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,46,United-States,>50K +21,Private,502837,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,Peru,<=50K +27,State-gov,212232,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +57,Private,300104,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,84,United-States,>50K +22,Private,156933,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,25,United-States,<=50K +20,Private,286734,Some-college,10,Never-married,Adm-clerical,Not-in-family,Other,Female,0,0,35,United-States,<=50K +49,Self-emp-inc,143482,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,65,United-States,>50K +38,Private,226357,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,104892,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,223194,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,1485,40,Haiti,<=50K +37,Self-emp-not-inc,272090,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K +57,Private,204816,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +56,Private,230039,7th-8th,4,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +41,Private,242619,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,80,United-States,<=50K +50,Self-emp-not-inc,131982,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,60,South,<=50K +33,Private,87310,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K +29,Private,134566,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K +28,Federal-gov,163862,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K +35,Private,239409,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,203717,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +45,Private,172274,Doctorate,16,Divorced,Prof-specialty,Unmarried,Black,Female,0,3004,35,United-States,>50K +30,Self-emp-not-inc,65278,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +35,Self-emp-inc,135289,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K +27,Private,246974,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,180060,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,Yugoslavia,<=50K +24,Private,118023,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +47,Private,102308,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +47,Private,45564,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +18,Private,137646,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +18,Private,237646,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +31,Local-gov,189843,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,47,United-States,>50K +43,Self-emp-not-inc,118261,Masters,14,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +45,Private,288437,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Other,Male,4064,0,40,United-States,<=50K +39,Private,106347,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,316471,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K +22,Private,50058,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +30,Self-emp-not-inc,182089,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,85,United-States,<=50K +36,Private,186865,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +20,State-gov,158206,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +61,?,229744,1st-4th,2,Married-civ-spouse,?,Husband,White,Male,3942,0,20,Mexico,<=50K +27,Private,141545,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,45,United-States,<=50K +59,Local-gov,50929,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +60,Private,132529,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,260696,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,231180,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +40,Private,223277,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +20,Private,279538,11th,7,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,2961,0,35,United-States,<=50K +47,Private,46044,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,168071,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +20,Private,79691,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +75,?,114204,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,13,United-States,<=50K +25,Private,124111,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +47,Private,104521,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +29,Self-emp-not-inc,128516,Assoc-acdm,12,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,>50K +34,Private,112564,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +45,State-gov,32186,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,239663,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,2597,0,50,United-States,<=50K +46,Private,269284,Assoc-acdm,12,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +41,State-gov,175537,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,38,United-States,<=50K +29,Private,444304,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +17,Private,27415,11th,7,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,20,United-States,<=50K +39,Private,174343,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,148143,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +34,Private,209213,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,?,<=50K +20,Private,165097,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,?,51574,HS-grad,9,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,1602,38,United-States,<=50K +52,Private,167651,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +42,Local-gov,29075,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +22,Private,396895,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Mexico,<=50K +66,State-gov,71075,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +35,Private,129573,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K +40,Local-gov,183765,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +21,Private,164991,HS-grad,9,Divorced,Sales,Unmarried,Amer-Indian-Eskimo,Female,0,0,38,United-States,<=50K +51,Local-gov,154891,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Male,0,0,52,United-States,<=50K +34,Private,200117,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,176389,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,342567,Bachelors,13,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,178841,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +42,Local-gov,191149,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,29702,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +21,Private,157893,HS-grad,9,Never-married,Transport-moving,Own-child,White,Female,0,0,40,United-States,<=50K +64,Local-gov,31993,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,10,United-States,<=50K +24,Federal-gov,210736,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,1974,40,United-States,<=50K +23,Private,39615,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K +29,Private,200511,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +44,Self-emp-not-inc,47818,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,60,United-States,<=50K +28,Private,183155,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +33,Self-emp-inc,374905,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +35,Private,128876,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,202872,10th,6,Married-spouse-absent,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,153414,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K +51,Self-emp-not-inc,24790,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,99,United-States,>50K +32,Private,316769,11th,7,Never-married,Other-service,Unmarried,Black,Female,0,0,40,Jamaica,<=50K +37,Private,126569,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,128538,11th,7,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +24,Private,234640,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +29,?,65372,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Private,343377,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +52,Federal-gov,30731,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +35,Private,412379,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Self-emp-inc,112320,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +63,Private,181929,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,>50K +32,Local-gov,100135,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K +24,Private,128061,HS-grad,9,Never-married,Other-service,Own-child,White,Female,594,0,15,United-States,<=50K +72,?,402306,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,32,Canada,<=50K +35,?,98389,Some-college,10,Never-married,?,Unmarried,White,Male,0,0,10,United-States,<=50K +29,Private,179565,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,64922,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +70,Private,102610,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,32,United-States,<=50K +65,?,115513,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,5556,0,48,United-States,>50K +36,Private,150548,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,30,United-States,<=50K +53,Private,133219,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,4386,0,30,United-States,>50K +49,Local-gov,67001,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +60,Private,162347,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K +18,Private,138557,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,170456,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,Italy,<=50K +42,Private,66006,10th,6,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +25,State-gov,176077,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,37,United-States,<=50K +32,Private,218322,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Self-emp-inc,181691,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,?,<=50K +47,Private,168232,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K +30,Private,161690,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,?,242736,Assoc-acdm,12,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +38,Self-emp-not-inc,67317,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +34,Private,265807,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2051,55,United-States,<=50K +37,Private,99357,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +56,Private,170070,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +52,State-gov,231166,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,62339,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +29,State-gov,118520,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,42,United-States,<=50K +45,Private,155659,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +23,Local-gov,157331,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,341762,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +30,Private,164190,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K +45,Private,83064,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +26,Private,304283,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,436798,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,29302,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,?,<=50K +43,Private,104660,Masters,14,Widowed,Exec-managerial,Unmarried,White,Male,4934,0,40,United-States,>50K +42,Private,79036,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +72,Private,165622,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +21,?,177287,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +57,Private,199847,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +24,Private,22966,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +27,Private,59068,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,77336,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +42,Local-gov,96524,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +17,Private,143868,9th,5,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +48,Private,121424,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +39,Private,176279,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Self-emp-inc,177905,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,70,United-States,>50K +50,Private,205100,7th-8th,4,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,?,<=50K +57,Private,353881,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +44,Local-gov,177937,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,>50K +20,?,122244,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,28,United-States,<=50K +49,Private,125892,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,155472,Assoc-acdm,12,Never-married,Prof-specialty,Unmarried,Black,Female,1151,0,50,United-States,<=50K +42,Private,355728,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K +18,?,245274,Some-college,10,Never-married,?,Own-child,White,Male,0,0,16,United-States,<=50K +18,Private,240330,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,18,United-States,<=50K +51,Private,182944,HS-grad,9,Widowed,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +28,Private,264498,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,110426,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,45,United-States,>50K +25,Private,166971,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,<=50K +41,Private,347653,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +39,Private,33975,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +42,Self-emp-not-inc,215219,11th,7,Separated,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +33,Private,190772,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,1617,40,United-States,<=50K +63,?,331527,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,162494,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,45,United-States,>50K +27,Local-gov,85918,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,68,United-States,<=50K +39,Private,91367,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,45,United-States,>50K +20,Private,182342,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +49,Private,129640,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +70,?,133536,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,28,United-States,<=50K +46,Private,148738,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1740,35,United-States,<=50K +47,Private,102583,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K +35,Private,111387,9th,5,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,241752,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,?,334593,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,101950,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +60,Local-gov,212856,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +53,Private,183973,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K +47,Private,142061,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,158615,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,29145,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,40135,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +23,Private,224640,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,?,146651,HS-grad,9,Married-civ-spouse,?,Own-child,White,Female,0,0,15,United-States,<=50K +29,Private,167737,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Male,0,0,50,United-States,<=50K +23,Private,60331,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,187167,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +18,?,157131,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,12,United-States,<=50K +27,Local-gov,255237,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,?,192325,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +40,Private,163342,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,70,United-States,<=50K +31,Private,129775,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K +18,Private,206008,Some-college,10,Never-married,Sales,Unmarried,White,Male,2176,0,40,United-States,<=50K +25,Private,397317,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,745768,Some-college,10,Never-married,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K +38,Private,141550,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Private,35576,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,376383,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,35,Mexico,<=50K +48,Self-emp-not-inc,200825,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,>50K +34,?,362787,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,35,United-States,<=50K +46,Private,116789,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +26,Private,160300,HS-grad,9,Married-spouse-absent,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,362654,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +21,?,107801,Some-college,10,Never-married,?,Own-child,White,Female,0,0,3,United-States,<=50K +65,Private,170939,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,6723,0,40,United-States,<=50K +31,Local-gov,224234,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +38,Private,478346,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,40,United-States,>50K +68,Private,211162,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,147638,Bachelors,13,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,40,Hong,<=50K +42,Private,104647,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Private,67365,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +42,Private,230959,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,1887,40,Philippines,>50K +39,Private,176335,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,65,United-States,>50K +31,Self-emp-not-inc,268482,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,State-gov,288731,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K +36,Private,231082,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +42,State-gov,333530,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +62,Private,214288,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,118023,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,24,United-States,<=50K +21,Private,187088,Some-college,10,Never-married,Adm-clerical,Own-child,Other,Female,0,0,20,Cuba,<=50K +60,?,174073,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,133833,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +30,Private,229772,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +64,Private,210082,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,119287,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,28,United-States,>50K +41,Self-emp-not-inc,111772,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K +25,Private,122999,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +27,Private,44767,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,200574,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,44,United-States,<=50K +58,Private,236596,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +31,Private,33124,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,99,United-States,<=50K +50,Local-gov,308764,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,103524,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +31,?,99483,HS-grad,9,Never-married,?,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +50,Private,230951,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,99355,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K +33,Private,857532,12th,8,Never-married,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K +62,Private,81116,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,1974,40,United-States,<=50K +38,Private,154410,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,40,Poland,<=50K +19,Private,198943,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +30,Private,311696,11th,7,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,30,United-States,<=50K +38,Private,252897,Some-college,10,Divorced,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +42,Self-emp-not-inc,39539,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,>50K +49,Self-emp-inc,122066,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K +53,Private,110977,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K +45,Local-gov,199590,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,Mexico,>50K +24,Private,202721,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +29,Private,197565,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +24,Private,206827,Some-college,10,Never-married,Sales,Own-child,White,Female,5060,0,30,United-States,<=50K +38,Federal-gov,190895,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +25,Self-emp-inc,158751,Assoc-voc,11,Never-married,Transport-moving,Unmarried,White,Male,0,0,55,United-States,<=50K +51,State-gov,243631,10th,6,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +17,?,219277,11th,7,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +19,Private,45381,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,8,United-States,<=50K +38,Private,167482,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K +60,Private,225014,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Self-emp-not-inc,405083,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +66,?,186061,Some-college,10,Widowed,?,Unmarried,Black,Female,0,4356,40,United-States,<=50K +28,Federal-gov,24153,10th,6,Married-civ-spouse,Other-service,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +36,Private,126569,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Ecuador,>50K +57,?,137658,HS-grad,9,Married-civ-spouse,?,Husband,Other,Male,0,0,5,Columbia,<=50K +24,Private,315476,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,248186,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +29,Self-emp-inc,206903,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +67,Self-emp-not-inc,191380,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,25,United-States,>50K +20,Private,191910,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,145119,Some-college,10,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K +20,Private,130840,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,33126,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +20,Private,334105,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +19,Local-gov,354104,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K +34,Private,111985,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +40,Local-gov,321187,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K +33,Private,138142,Some-college,10,Separated,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K +36,Private,296999,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Female,0,0,37,United-States,<=50K +43,Private,155106,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,2444,70,United-States,>50K +41,Local-gov,174491,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +34,State-gov,173266,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +33,Private,25610,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,Other,Male,0,0,40,Japan,>50K +47,Private,187563,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,196344,1st-4th,2,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Mexico,<=50K +40,Private,205047,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K +28,Private,715938,Bachelors,13,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +62,Self-emp-not-inc,224520,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,90,United-States,>50K +29,Private,229656,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K +46,Private,97883,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,131298,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K +57,Federal-gov,197875,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,172766,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +28,Local-gov,175796,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,51973,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +54,Self-emp-not-inc,28186,Bachelors,13,Divorced,Farming-fishing,Not-in-family,White,Male,27828,0,50,United-States,>50K +22,Private,291979,11th,7,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,State-gov,180752,Bachelors,13,Never-married,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K +50,Private,234657,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +18,Private,39411,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K +52,State-gov,334273,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +41,Private,192779,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K +21,?,105312,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +36,Private,171676,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,1741,40,United-States,<=50K +34,Self-emp-not-inc,182714,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,>50K +21,Private,231866,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,102102,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,?,50248,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +61,Local-gov,195519,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,25,United-States,<=50K +22,State-gov,34310,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,25,United-States,<=50K +33,?,314913,11th,7,Divorced,?,Own-child,White,Male,0,0,53,United-States,<=50K +36,State-gov,747719,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,50,United-States,>50K +43,Local-gov,188280,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,914,0,40,United-States,<=50K +25,Private,110978,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,37,India,>50K +17,Private,79682,10th,6,Never-married,Priv-house-serv,Other-relative,White,Male,0,0,30,United-States,<=50K +45,Private,294671,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,38,United-States,>50K +30,Private,340899,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,1590,80,United-States,<=50K +40,Private,192259,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +31,Local-gov,190228,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +42,Private,118947,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +53,Private,55861,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +37,Private,238433,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Cuba,<=50K +37,State-gov,166744,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +54,Private,144586,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +36,Private,134367,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +46,Private,133616,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +46,Private,203039,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +32,Private,217460,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +17,Private,106733,11th,7,Never-married,Craft-repair,Own-child,White,Male,594,0,40,United-States,<=50K +42,State-gov,212027,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +37,Local-gov,126569,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,289960,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +54,Private,174102,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,Private,181716,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +46,Local-gov,172822,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,293091,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,107443,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Portugal,<=50K +59,Private,95283,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,65278,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +35,Private,220943,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,1594,40,United-States,<=50K +53,Private,257940,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2829,0,40,United-States,<=50K +26,Private,134945,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +55,Self-emp-not-inc,105582,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,2228,0,50,United-States,<=50K +46,Private,169324,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,0,0,45,Jamaica,<=50K +44,State-gov,98989,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,38,United-States,>50K +30,Self-emp-not-inc,113838,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,3137,0,60,Germany,<=50K +24,Private,143436,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K +32,Private,143604,10th,6,Married-spouse-absent,Other-service,Not-in-family,Black,Female,0,0,37,United-States,<=50K +35,Private,226311,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +67,Private,94610,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K +56,Self-emp-not-inc,26716,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,>50K +26,Private,160261,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,20,India,<=50K +46,Private,117310,Assoc-acdm,12,Widowed,Tech-support,Unmarried,White,Female,6497,0,40,United-States,<=50K +52,Private,154342,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +38,Self-emp-not-inc,89202,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,174704,HS-grad,9,Divorced,Sales,Unmarried,Black,Male,0,0,50,United-States,<=50K +53,Private,153486,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,30,United-States,<=50K +27,Private,360097,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +39,Private,230356,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,163870,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,199753,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K +20,Private,333505,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,Nicaragua,<=50K +60,Local-gov,149281,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,138514,Assoc-voc,11,Divorced,Tech-support,Unmarried,Black,Female,0,0,48,United-States,<=50K +57,Federal-gov,66504,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +59,Private,206487,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +37,Private,170020,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,217605,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,United-States,<=50K +43,Private,145711,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,72,United-States,>50K +17,Private,169155,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +45,Private,34127,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +18,Private,110142,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +52,Private,222646,12th,8,Separated,Machine-op-inspct,Other-relative,White,Female,0,0,40,Cuba,<=50K +18,Private,182643,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,9,United-States,<=50K +20,Private,303565,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,Germany,<=50K +34,Private,140092,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,178811,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,20,United-States,<=50K +18,?,267399,12th,8,Never-married,?,Own-child,White,Female,0,0,12,United-States,<=50K +17,Local-gov,192387,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,45,United-States,<=50K +30,Federal-gov,127610,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +29,Private,258862,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Female,0,0,45,United-States,<=50K +30,Private,225231,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,8614,0,50,United-States,>50K +18,Private,174926,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,15,?,<=50K +50,State-gov,238187,Bachelors,13,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K +22,Private,191444,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +21,Private,198822,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +39,Self-emp-not-inc,251323,9th,5,Married-civ-spouse,Farming-fishing,Other-relative,White,Male,0,0,40,Cuba,<=50K +20,Private,168187,Some-college,10,Never-married,Other-service,Other-relative,White,Female,4416,0,25,United-States,<=50K +62,Private,370881,Assoc-acdm,12,Widowed,Other-service,Not-in-family,White,Female,0,0,7,United-States,<=50K +32,Private,198183,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K +38,Private,210610,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +32,Private,269182,Some-college,10,Separated,Tech-support,Unmarried,Black,Female,3887,0,40,United-States,<=50K +55,Private,141727,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,3464,0,40,United-States,<=50K +38,Private,185848,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,70,United-States,>50K +34,Private,46746,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +28,Private,120475,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +26,Private,135845,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,37,United-States,<=50K +41,Private,310255,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +61,State-gov,379885,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +75,Self-emp-not-inc,31428,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,3456,0,40,United-States,<=50K +21,Private,211013,Assoc-voc,11,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,50,Mexico,<=50K +50,Private,175029,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +49,Self-emp-inc,119539,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,?,>50K +26,Private,247025,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K +39,Private,252327,7th-8th,4,Never-married,Other-service,Own-child,White,Male,0,0,40,Mexico,<=50K +24,Self-emp-not-inc,375313,Some-college,10,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +56,Private,107165,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,18,United-States,<=50K +17,Private,108470,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,17,United-States,<=50K +37,Private,150057,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K +23,Private,189468,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K +28,?,198393,HS-grad,9,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +57,Self-emp-not-inc,181031,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +42,Local-gov,569930,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +25,Private,27411,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,147397,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,20,United-States,<=50K +39,Private,242922,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +54,Private,154949,11th,7,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,>50K +41,Self-emp-inc,423217,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +43,Federal-gov,195385,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +19,Private,100009,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,191628,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,340880,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,Philippines,>50K +19,Private,207173,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K +33,Private,48010,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,229051,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,52,United-States,<=50K +49,Private,193366,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +31,Private,57781,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K +69,?,121136,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,13,United-States,<=50K +41,Private,433989,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,4386,0,60,United-States,>50K +24,Private,136687,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Other,Female,0,0,40,United-States,<=50K +45,State-gov,154117,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,>50K +63,Private,294009,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K +75,Private,239038,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,16,United-States,<=50K +34,Private,244064,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K +69,Private,128348,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,9386,0,50,United-States,>50K +33,Private,66278,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,162643,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K +45,Private,179659,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K +18,Private,205218,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +48,Private,154033,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,52,United-States,<=50K +43,Private,158528,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +26,Private,366219,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,1848,60,United-States,>50K +35,Private,301862,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K +34,Private,228406,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +48,Private,120131,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,70,United-States,>50K +54,Local-gov,127943,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +57,Private,301514,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,156980,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,60,United-States,<=50K +28,Private,124685,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,55,United-States,<=50K +51,Private,305673,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,>50K +34,Local-gov,31391,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,53,United-States,>50K +41,Local-gov,33658,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K +21,Private,211391,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,27,United-States,<=50K +26,Private,402998,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,58,United-States,>50K +66,Private,78855,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +40,Private,320451,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1977,45,Hong,>50K +48,Private,49278,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +44,?,248876,Bachelors,13,Divorced,?,Not-in-family,White,Male,0,0,50,United-States,<=50K +41,Private,242586,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,359696,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,15024,0,60,United-States,>50K +55,Local-gov,296085,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +43,Private,233130,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K +51,Private,189511,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,Germany,>50K +31,Private,124420,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Self-emp-not-inc,67072,Bachelors,13,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,6849,0,60,United-States,<=50K +51,Private,194908,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +31,Local-gov,94991,HS-grad,9,Divorced,Other-service,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +18,Private,194561,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,37,United-States,<=50K +60,Private,75726,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,1092,40,United-States,<=50K +29,Private,60722,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +33,Private,59944,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,220840,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +40,Self-emp-inc,104235,Masters,14,Never-married,Other-service,Own-child,White,Male,0,0,99,United-States,<=50K +57,Private,142714,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K +55,Local-gov,110490,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,60,United-States,<=50K +40,Self-emp-not-inc,154076,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +26,State-gov,130557,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +29,Private,107108,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +30,Private,207172,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Mexico,<=50K +29,Private,304595,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +43,Private,475322,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +65,Private,107620,11th,7,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K +19,Private,301911,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,35,Laos,<=50K +35,Private,267866,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,1887,50,Iran,>50K +28,Private,269786,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,167474,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,115023,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,60,United-States,>50K +63,Local-gov,86590,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,32,United-States,<=50K +47,State-gov,187087,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +31,Private,184307,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,225859,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,2907,0,30,United-States,<=50K +29,Private,57889,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +59,Private,157932,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,187830,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,62,United-States,>50K +49,Private,251180,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,2407,0,50,United-States,<=50K +60,Private,317083,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +35,Self-emp-not-inc,190895,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +48,Federal-gov,328606,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,?,403860,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,215479,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +56,Private,157639,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +26,Private,152129,12th,8,Never-married,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K +53,Private,239284,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,234302,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +58,Private,218724,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +61,Private,106330,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,35032,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K +22,Private,234641,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,170730,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +31,Private,218322,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +90,Private,47929,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,142411,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +22,?,219122,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +55,Private,132887,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,3411,0,40,Jamaica,<=50K +34,State-gov,44464,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +28,Private,180928,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,5013,0,55,United-States,<=50K +22,?,199426,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,139703,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +33,Private,202642,Bachelors,13,Separated,Prof-specialty,Other-relative,Black,Female,0,0,40,Jamaica,<=50K +17,Private,160049,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K +38,Private,239755,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Private,152369,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +34,Private,42900,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +72,?,117017,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +57,Private,175017,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Italy,<=50K +39,Private,342642,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +50,Self-emp-not-inc,143730,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K +45,Private,191098,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K +37,Private,208106,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K +27,Private,167737,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,48,United-States,<=50K +43,Private,315971,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K +41,Private,142717,Some-college,10,Divorced,Tech-support,Unmarried,Black,Female,0,0,36,United-States,<=50K +20,Private,190227,Masters,14,Never-married,Exec-managerial,Own-child,White,Male,0,0,25,United-States,<=50K +44,Private,79864,Masters,14,Separated,Exec-managerial,Unmarried,White,Female,0,0,20,United-States,<=50K +50,Private,34067,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +54,Private,222882,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +31,Private,44464,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,1564,60,United-States,>50K +33,Private,256062,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,Puerto-Rico,<=50K +22,Private,251073,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K +46,Private,149949,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,165235,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K +22,?,243190,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,40,China,<=50K +59,?,160662,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2407,0,60,United-States,<=50K +57,Self-emp-not-inc,175942,Some-college,10,Widowed,Exec-managerial,Other-relative,White,Male,0,0,25,United-States,<=50K +26,Private,212793,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Local-gov,153312,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +55,Local-gov,173296,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K +47,Private,120131,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +19,Private,117444,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,226196,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +44,Private,202872,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +42,Private,176716,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +39,Private,82540,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +17,?,41643,11th,7,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K +26,Private,197292,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +26,Private,76491,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K +50,Self-emp-inc,101094,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +46,Self-emp-not-inc,119944,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +18,Private,141626,Some-college,10,Never-married,Tech-support,Own-child,White,Male,2176,0,20,United-States,<=50K +26,Private,122575,Bachelors,13,Never-married,Exec-managerial,Unmarried,Asian-Pac-Islander,Male,0,0,60,Vietnam,<=50K +32,Private,194740,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K +50,Private,263200,5th-6th,3,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,34,Mexico,<=50K +47,Local-gov,140644,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +52,Private,202115,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,United-States,<=50K +25,Federal-gov,27142,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +42,Local-gov,318046,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,276369,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +30,Private,67187,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Female,0,0,8,United-States,<=50K +23,Private,133582,1st-4th,2,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,36,Mexico,<=50K +23,Private,216672,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,30,?,<=50K +32,Private,45796,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +29,Self-emp-inc,31778,HS-grad,9,Separated,Prof-specialty,Other-relative,White,Male,0,0,25,United-States,<=50K +40,Private,190044,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +45,State-gov,144351,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +17,?,172145,10th,6,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K +55,Private,193130,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +59,Local-gov,140478,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +56,Private,122390,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K +23,Private,116830,12th,8,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +37,Local-gov,117683,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,106491,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +22,?,39803,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,363053,9th,5,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,24,Mexico,<=50K +21,Private,54472,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Local-gov,200471,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,40,United-States,>50K +38,Private,54317,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K +62,Local-gov,113443,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,10520,0,33,United-States,>50K +27,Private,159623,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +25,?,161235,Assoc-voc,11,Never-married,?,Own-child,White,Male,0,0,90,United-States,<=50K +27,Private,247978,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +40,Private,305846,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +22,Self-emp-not-inc,214014,Some-college,10,Never-married,Sales,Own-child,Black,Male,99999,0,55,United-States,>50K +33,Private,226525,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +28,Private,247819,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,5,United-States,<=50K +28,Private,194940,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,289991,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,55,United-States,<=50K +46,Private,585361,9th,5,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,91145,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +65,?,231604,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,45,Germany,<=50K +28,Private,273269,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +39,Private,202683,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,159179,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,28952,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,39,United-States,<=50K +25,?,214925,10th,6,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +63,Private,163708,9th,5,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +56,Private,200235,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +46,Private,109209,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +19,Private,166153,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +56,Local-gov,268213,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,?,>50K +31,Private,69056,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +51,State-gov,237141,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +17,Private,277541,11th,7,Never-married,Sales,Own-child,White,Male,0,0,5,United-States,<=50K +27,Local-gov,289039,Some-college,10,Never-married,Protective-serv,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +30,Private,134737,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,45,United-States,<=50K +18,Private,56613,Some-college,10,Never-married,Protective-serv,Own-child,White,Female,0,0,20,United-States,<=50K +41,Private,36699,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,4650,0,40,United-States,<=50K +40,Local-gov,333530,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +35,Private,185366,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +29,Private,154017,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,10,United-States,<=50K +27,Private,215504,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1848,55,United-States,>50K +25,Private,222539,10th,6,Never-married,Transport-moving,Not-in-family,White,Male,2597,0,50,United-States,<=50K +53,Private,191565,1st-4th,2,Divorced,Other-service,Unmarried,Black,Female,0,0,40,Dominican-Republic,<=50K +53,Private,111939,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K +26,State-gov,53903,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K +41,Private,146659,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,<=50K +28,Private,194200,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +48,State-gov,78529,Masters,14,Separated,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +22,Private,194829,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K +40,Federal-gov,330174,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +52,Self-emp-inc,230767,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,Cuba,>50K +53,Local-gov,137250,Masters,14,Widowed,Prof-specialty,Unmarried,Black,Female,0,1669,35,United-States,<=50K +40,Private,254478,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,United-States,>50K +57,Private,300908,Assoc-acdm,12,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,75,United-States,<=50K +53,Self-emp-not-inc,187830,Assoc-voc,11,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,Poland,<=50K +23,Private,201138,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K +31,Self-emp-not-inc,44503,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,381357,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,28,United-States,<=50K +25,Private,311124,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +37,Private,96330,Some-college,10,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +50,Private,228238,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +34,Self-emp-not-inc,56964,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K +37,Private,127772,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +52,Private,386397,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +29,Self-emp-not-inc,404998,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,90,United-States,<=50K +49,Private,34545,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K +31,Private,157886,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +47,Private,101299,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,134447,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K +27,Private,191822,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K +23,Private,70919,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +55,Private,266343,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,46,United-States,<=50K +28,Private,87239,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +31,Local-gov,236487,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,Germany,<=50K +30,Private,224147,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K +23,Private,197200,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,60,United-States,<=50K +19,Private,124265,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K +22,Private,79980,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K +50,Private,128814,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +64,?,208862,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K +21,Private,51262,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +75,Self-emp-inc,98116,Some-college,10,Widowed,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K +29,Private,82393,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,40,Germany,<=50K +47,Private,57534,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +20,Private,218962,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,204752,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,243631,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,45,China,>50K +41,Private,170299,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,43,United-States,<=50K +23,Private,60331,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,269318,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,5178,0,50,United-States,>50K +67,State-gov,132819,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,41,United-States,>50K +21,Private,119665,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,35,United-States,<=50K +38,Private,150057,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +31,Private,128567,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,?,230874,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +59,Self-emp-not-inc,148526,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,160192,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Local-gov,74660,Some-college,10,Widowed,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +60,Self-emp-inc,142494,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,122042,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +28,Self-emp-inc,37088,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +36,Private,61778,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +21,?,176356,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,Germany,<=50K +27,Private,123302,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Poland,<=50K +18,Private,89760,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +44,Local-gov,165304,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,40,United-States,>50K +56,Private,104945,7th-8th,4,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +51,Self-emp-inc,192973,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K +48,Private,97863,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Italy,>50K +31,Private,73585,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +35,Private,29145,Assoc-voc,11,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,175232,HS-grad,9,Divorced,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +36,Private,325374,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,107231,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,65,United-States,<=50K +23,Private,129345,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K +21,Private,228395,Some-college,10,Never-married,Sales,Other-relative,Black,Female,0,0,20,United-States,<=50K +49,Private,452402,Some-college,10,Separated,Exec-managerial,Unmarried,Black,Female,0,0,60,United-States,<=50K +51,Self-emp-inc,338260,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K +46,Private,165138,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,109055,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,3137,0,45,United-States,<=50K +27,Private,193122,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +56,?,425497,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +48,Private,191858,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,297155,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +29,Local-gov,181282,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +50,Federal-gov,111700,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +18,Private,35065,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,35,United-States,<=50K +37,Private,298539,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,55,United-States,>50K +51,Self-emp-not-inc,95435,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +31,Private,162160,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,<=50K +29,Private,176037,Assoc-voc,11,Divorced,Tech-support,Not-in-family,Black,Male,14344,0,40,United-States,>50K +39,Private,314007,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,40,United-States,<=50K +48,Private,197683,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K +44,Private,242521,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K +39,Private,290321,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +22,Local-gov,44064,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +27,?,174163,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,>50K +42,Private,374790,9th,5,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,231562,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,33,United-States,<=50K +27,Private,376150,Some-college,10,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +51,Private,99987,10th,6,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +27,Self-emp-not-inc,120126,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +60,Self-emp-not-inc,33717,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,132879,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Italy,<=50K +45,Private,304570,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,China,>50K +40,Private,100292,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K +63,Private,117473,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,4386,0,40,United-States,>50K +41,Private,239833,HS-grad,9,Married-spouse-absent,Transport-moving,Unmarried,Black,Male,0,0,50,United-States,<=50K +53,?,155233,12th,8,Married-civ-spouse,?,Wife,White,Female,0,0,40,Italy,<=50K +34,Private,130369,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Female,1151,0,48,Germany,<=50K +34,Private,347166,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,502752,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +22,State-gov,255575,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,15,United-States,<=50K +49,Private,277946,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +43,?,214541,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K +36,Private,143123,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +27,Private,69132,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,37,United-States,<=50K +52,Self-emp-not-inc,34973,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1887,60,United-States,>50K +29,Private,236992,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,50,United-States,<=50K +27,Private,492263,10th,6,Separated,Machine-op-inspct,Own-child,White,Male,0,0,35,Mexico,<=50K +42,Private,180019,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,65,United-States,<=50K +49,Self-emp-not-inc,47086,Bachelors,13,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,222853,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K +22,Private,344176,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,20,United-States,<=50K +30,Self-emp-not-inc,223212,Bachelors,13,Never-married,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K +28,Private,110981,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,162688,Assoc-voc,11,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +45,Self-emp-inc,181307,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,43,United-States,>50K +39,Private,148903,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,4687,0,50,United-States,>50K +43,Private,306440,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,66,France,<=50K +18,Private,210311,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +53,Private,127117,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +74,Private,54732,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,>50K +39,Private,271521,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,48,Philippines,>50K +33,?,216908,10th,6,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K +49,Private,543922,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K +21,Private,766115,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,35,United-States,<=50K +65,?,52728,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,284166,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1564,50,United-States,>50K +49,Private,122206,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K +20,?,95989,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +47,Private,334039,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,44,United-States,>50K +46,Self-emp-not-inc,225456,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,112847,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,7298,0,32,United-States,>50K +61,Self-emp-not-inc,171840,HS-grad,9,Widowed,Prof-specialty,Unmarried,White,Female,0,0,16,United-States,<=50K +48,Private,180695,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K +44,Private,121012,9th,5,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Self-emp-inc,126569,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +45,Private,227791,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1740,50,United-States,<=50K +51,Self-emp-not-inc,290290,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +33,Local-gov,251521,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +55,Self-emp-not-inc,41938,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,8,United-States,<=50K +25,Private,27678,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,60,United-States,<=50K +26,Private,133756,HS-grad,9,Divorced,Farming-fishing,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +54,Private,215990,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,Private,461337,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,33,United-States,<=50K +39,Local-gov,344855,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,20,United-States,>50K +20,State-gov,214542,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,258170,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Federal-gov,242147,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Other,Male,0,0,45,United-States,<=50K +42,Private,235700,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,278130,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,261241,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +60,Private,85995,Masters,14,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,50,South,>50K +42,Private,340885,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,44,United-States,<=50K +42,Private,152889,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +46,Private,195023,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Columbia,<=50K +52,State-gov,109600,Masters,14,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,4787,0,44,United-States,>50K +27,?,249463,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +43,Private,158177,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K +43,State-gov,47818,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,391468,11th,7,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +52,Local-gov,199995,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,United-States,>50K +31,Private,231043,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +38,?,281768,7th-8th,4,Divorced,?,Unmarried,Black,Female,0,0,30,United-States,<=50K +44,Private,267790,9th,5,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +27,Private,217379,Some-college,10,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +50,Private,421561,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,50953,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,138504,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,30,United-States,<=50K +36,State-gov,177064,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,103064,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,3674,0,40,United-States,<=50K +59,Private,184493,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +39,Private,104089,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +23,Private,149204,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,405284,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1340,42,United-States,<=50K +25,Local-gov,137296,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Black,Female,0,0,38,United-States,<=50K +40,Private,87771,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,1628,45,United-States,<=50K +38,State-gov,125499,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,7688,0,60,India,>50K +31,Private,59083,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K +28,Local-gov,138332,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,198914,HS-grad,9,Never-married,Sales,Unmarried,Black,Male,0,0,25,United-States,<=50K +46,Local-gov,238162,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,50,United-States,>50K +29,Private,123677,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,40,Laos,<=50K +38,Federal-gov,325538,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +53,Private,251063,Some-college,10,Separated,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +33,Private,51471,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,1902,40,United-States,>50K +39,Private,175681,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,60,?,<=50K +44,Private,165599,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +46,Private,149640,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,England,>50K +30,Private,143526,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,211160,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,342989,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +62,Self-emp-not-inc,173631,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +25,Private,141876,HS-grad,9,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +45,Private,137604,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,129232,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +64,Federal-gov,271550,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +39,Private,456922,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Private,232242,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,352188,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,114967,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,201981,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +32,State-gov,159247,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,125905,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,186824,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +42,Local-gov,121012,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +58,Private,110844,Masters,14,Widowed,Sales,Not-in-family,White,Female,0,0,27,United-States,<=50K +23,Private,143003,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1887,50,India,>50K +31,Federal-gov,59732,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +28,Private,178489,Bachelors,13,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,45,?,<=50K +41,?,252127,Some-college,10,Widowed,?,Unmarried,Black,Female,0,0,20,United-States,<=50K +37,Private,109633,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,16,United-States,>50K +19,Private,160811,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,38,United-States,<=50K +27,Self-emp-not-inc,365110,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +61,Self-emp-not-inc,113080,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,58,United-States,>50K +39,Private,206074,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +25,Private,173062,Bachelors,13,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,40,United-States,<=50K +58,Private,117273,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +27,Self-emp-not-inc,153805,Some-college,10,Married-civ-spouse,Transport-moving,Other-relative,Other,Male,0,0,50,Ecuador,>50K +51,Private,293802,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,52,United-States,<=50K +43,Local-gov,153132,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +46,Private,166809,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +67,?,34122,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +50,Local-gov,231725,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,63210,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K +35,Private,108293,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,>50K +57,Private,116878,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Italy,<=50K +40,Private,110622,Prof-school,15,Married-civ-spouse,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +42,Local-gov,180318,10th,6,Never-married,Farming-fishing,Unmarried,White,Male,0,0,35,United-States,<=50K +67,Self-emp-inc,112318,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,252079,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7688,0,44,United-States,>50K +30,Private,27153,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K +26,Private,73312,11th,7,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,15,United-States,<=50K +51,Private,145409,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,167882,Some-college,10,Widowed,Other-service,Other-relative,Black,Female,0,0,45,Haiti,<=50K +24,Private,236696,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +48,Self-emp-not-inc,28791,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K +34,State-gov,118551,Bachelors,13,Married-civ-spouse,Tech-support,Own-child,White,Female,5178,0,25,?,>50K +70,Private,187292,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,6418,0,40,United-States,>50K +35,Private,189922,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +61,?,584259,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,>50K +26,Private,173992,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +64,Private,253759,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,3,United-States,<=50K +26,Private,111243,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +39,Self-emp-not-inc,147850,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K +55,Private,171015,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,36,United-States,<=50K +23,Private,118023,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,?,<=50K +33,Self-emp-not-inc,361497,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,137290,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +28,Local-gov,401886,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,20,United-States,<=50K +50,Private,201882,Masters,14,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,United-States,<=50K +26,Local-gov,30793,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,55,United-States,>50K +44,Federal-gov,139161,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,Black,Female,0,1741,40,United-States,<=50K +51,Private,210736,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,167781,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +37,Private,103986,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,39,United-States,>50K +29,Private,144592,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +24,Private,493034,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +27,Private,184078,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,191814,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +24,Private,329852,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,223660,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +47,Private,177087,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,>50K +30,Private,143766,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +35,Private,234271,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Federal-gov,314822,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +42,Private,195584,Assoc-acdm,12,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +70,Self-emp-inc,207938,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2377,50,United-States,>50K +41,Private,126850,Prof-school,15,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +36,Private,279485,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K +44,Private,267717,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K +42,?,175935,HS-grad,9,Separated,?,Unmarried,White,Male,0,0,40,United-States,<=50K +20,Private,163665,Some-college,10,Never-married,Transport-moving,Own-child,White,Female,0,0,17,United-States,<=50K +29,Private,200468,10th,6,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,91501,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K +30,Private,182771,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +59,Self-emp-not-inc,56392,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1579,60,United-States,<=50K +31,Private,20511,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +21,Private,538822,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,Mexico,<=50K +26,Private,332008,Some-college,10,Never-married,Craft-repair,Unmarried,Asian-Pac-Islander,Male,0,0,37,Taiwan,<=50K +57,Self-emp-inc,220789,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +59,Self-emp-not-inc,114760,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,>50K +87,?,90338,HS-grad,9,Widowed,?,Not-in-family,White,Male,0,0,2,United-States,<=50K +25,Private,181576,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K +39,Private,198841,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K +53,Private,53197,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K +32,State-gov,542265,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,193026,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,25505,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K +17,Private,375657,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +44,Private,201599,11th,7,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,181820,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +57,Private,334224,Some-college,10,Married-civ-spouse,Craft-repair,Wife,White,Female,9386,0,40,United-States,>50K +30,State-gov,54318,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,141388,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K +54,Self-emp-not-inc,57101,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +44,Private,168515,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,Germany,<=50K +60,Private,163665,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,16,United-States,>50K +28,Private,207513,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,42,United-States,>50K +39,Private,293291,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +55,Private,70088,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +36,Private,199346,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +55,Local-gov,143949,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,3103,0,45,United-States,>50K +33,Private,207201,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,>50K +30,Private,430283,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,7298,0,40,United-States,>50K +40,Local-gov,293809,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K +30,Private,378009,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +40,Private,226608,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,30,Guatemala,>50K +24,Private,314182,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Female,0,0,50,United-States,<=50K +18,Private,170544,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +18,Private,94196,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,25,United-States,<=50K +49,Private,193047,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +42,Private,112607,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +28,Local-gov,146949,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,309513,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Self-emp-not-inc,191389,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K +24,Private,213902,7th-8th,4,Never-married,Priv-house-serv,Own-child,White,Female,0,0,32,El-Salvador,<=50K +73,Self-emp-not-inc,46514,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,25,United-States,<=50K +35,Private,75855,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,7298,0,40,?,>50K +23,Private,38707,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +19,Private,188568,Some-college,10,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,215014,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,Mexico,<=50K +27,Private,184477,12th,8,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,204235,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +31,Private,39054,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +64,Self-emp-inc,272531,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +45,Private,358701,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,10,Mexico,<=50K +47,Private,217750,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K +22,Private,200374,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,35,United-States,<=50K +24,Private,498349,Bachelors,13,Never-married,Transport-moving,Unmarried,Black,Female,0,0,40,United-States,<=50K +69,State-gov,170458,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +40,Self-emp-not-inc,57233,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +45,Private,188432,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,33300,Assoc-acdm,12,Never-married,Farming-fishing,Other-relative,White,Male,10520,0,45,United-States,>50K +31,Private,225779,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,46677,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,42,United-States,<=50K +41,Private,227968,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,35,Haiti,>50K +34,Private,85355,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +48,Private,207120,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +28,Local-gov,229223,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,36,United-States,>50K +20,Private,224640,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +39,Private,139012,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +40,Federal-gov,130749,Some-college,10,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +28,Private,204516,10th,6,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +20,Private,105479,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +41,Private,197093,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +49,Self-emp-inc,431245,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +24,Private,155150,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +35,State-gov,216035,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,388247,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,208908,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +23,Private,259301,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Self-emp-not-inc,69333,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,4386,0,80,United-States,>50K +34,Private,167893,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,64,United-States,>50K +32,Federal-gov,386877,Assoc-voc,11,Never-married,Tech-support,Own-child,Black,Male,4650,0,40,United-States,<=50K +54,Private,146551,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,54,United-States,>50K +48,Private,238360,Bachelors,13,Separated,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +38,Private,187748,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +48,State-gov,50748,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,50136,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,El-Salvador,<=50K +42,Private,111483,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +31,Private,298871,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K +27,Private,147340,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,>50K +57,Private,132704,Masters,14,Separated,Prof-specialty,Not-in-family,White,Male,10520,0,32,United-States,>50K +46,State-gov,327786,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,3325,0,42,United-States,<=50K +44,Federal-gov,243636,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +42,Local-gov,194417,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +24,Private,236696,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,337130,1st-4th,2,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +29,Private,273051,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,Yugoslavia,>50K +38,Private,186191,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +33,Private,268451,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +61,Private,154600,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,4,United-States,<=50K +49,Local-gov,405309,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +51,Self-emp-not-inc,99185,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +42,Private,191765,HS-grad,9,Divorced,Other-service,Other-relative,Black,Female,0,0,35,United-States,<=50K +21,Private,253583,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +29,?,297054,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,204397,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,288771,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +52,Private,173987,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Local-gov,33662,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,7298,0,40,United-States,>50K +23,Private,91658,Some-college,10,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,226902,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,>50K +45,Private,232586,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +51,Self-emp-not-inc,291755,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,<=50K +29,?,207032,HS-grad,9,Married-spouse-absent,?,Unmarried,Black,Female,0,0,42,Haiti,<=50K +23,Private,161478,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +73,Self-emp-not-inc,109833,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +47,Self-emp-not-inc,229394,11th,7,Divorced,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,<=50K +61,?,69285,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,37,United-States,<=50K +26,Private,491862,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +40,Private,311534,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +32,Self-emp-not-inc,420895,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,47,United-States,<=50K +39,Private,226374,10th,6,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +33,Federal-gov,101345,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,48779,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +42,Private,152676,HS-grad,9,Divorced,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,164877,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +33,Private,97521,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,88564,5th-6th,3,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,20,United-States,<=50K +33,Private,188246,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,189185,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +42,State-gov,163069,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +28,Private,251905,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +29,Private,112403,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,<=50K +18,Private,36882,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +33,Self-emp-not-inc,195891,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +36,Private,194905,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,44,United-States,<=50K +33,Private,133503,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,48,United-States,>50K +40,Private,31621,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +57,Self-emp-not-inc,413373,Doctorate,16,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K +40,Private,196029,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,45,United-States,<=50K +36,Private,107302,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K +45,Private,151267,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,>50K +52,Private,256861,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,82777,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,147430,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,?,60726,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +46,Self-emp-not-inc,165754,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +36,Private,448337,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +48,Private,185079,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +36,Private,418702,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +48,Private,41504,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +21,Private,387335,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,1719,9,United-States,<=50K +18,Private,261720,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,133963,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +66,?,357750,11th,7,Widowed,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +36,State-gov,179488,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,55,United-States,>50K +38,Private,60135,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Self-emp-not-inc,308746,Prof-school,15,Widowed,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K +27,Private,278720,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +22,State-gov,477505,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,164711,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +40,Private,208277,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +21,Private,39943,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +49,Private,104542,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,286634,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +28,Private,142712,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +26,Private,336404,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,117983,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,41,United-States,<=50K +72,?,108796,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +59,Private,59469,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,Iran,<=50K +37,Private,171968,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +56,?,119254,10th,6,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,278617,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,72338,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +49,Local-gov,343231,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,80,United-States,<=50K +30,Private,63910,HS-grad,9,Married-civ-spouse,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +28,Private,190350,9th,5,Married-civ-spouse,Protective-serv,Wife,Black,Female,0,0,40,United-States,<=50K +25,State-gov,176162,Bachelors,13,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,37720,10th,6,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,421467,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,26,United-States,<=50K +36,Private,138441,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +52,Private,146767,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +20,?,369678,12th,8,Never-married,?,Not-in-family,Other,Male,0,1602,40,United-States,<=50K +25,Private,160445,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,211695,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +50,Private,102346,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,2415,20,United-States,>50K +48,Private,128796,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +39,Private,111129,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +30,Local-gov,44566,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,118497,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +36,Private,334291,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K +49,Private,237920,Doctorate,16,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +34,Local-gov,136331,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +28,Private,187397,HS-grad,9,Never-married,Other-service,Other-relative,Other,Male,0,0,48,Mexico,<=50K +28,Self-emp-not-inc,119793,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,24982,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +26,Self-emp-not-inc,231714,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,229272,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +66,?,68219,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +61,Self-emp-not-inc,268831,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,53,United-States,<=50K +45,Self-emp-not-inc,149640,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,>50K +29,Private,261725,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +74,Private,161387,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,16,United-States,<=50K +61,Local-gov,260167,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,200928,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,22,United-States,<=50K +53,Federal-gov,155594,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +57,Self-emp-not-inc,79539,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +41,Private,469454,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,331482,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +43,Private,225193,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +26,?,370727,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,1977,40,United-States,>50K +29,Private,82393,HS-grad,9,Married-civ-spouse,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,25,Philippines,<=50K +65,?,37170,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +41,Private,58484,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +31,Local-gov,156464,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Male,0,0,40,?,<=50K +50,Private,344621,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,Private,174752,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +18,Self-emp-inc,174202,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K +26,Private,261203,7th-8th,4,Never-married,Other-service,Unmarried,Other,Female,0,0,30,?,<=50K +57,Private,316000,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +63,State-gov,216871,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1740,40,United-States,<=50K +29,Private,246933,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,Mexico,<=50K +32,Self-emp-not-inc,112115,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +34,Private,264651,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +43,Private,99185,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,58,United-States,<=50K +39,Private,176186,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +28,Private,100219,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,45,United-States,<=50K +32,Private,46691,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,State-gov,297735,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,90,United-States,<=50K +40,Private,132222,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,50,United-States,>50K +25,Private,189656,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,60,United-States,>50K +54,Local-gov,224934,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +48,Self-emp-inc,149218,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,>50K +51,Private,158508,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,36,United-States,<=50K +67,State-gov,261203,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K +17,Private,309504,10th,6,Never-married,Sales,Unmarried,White,Female,0,0,24,United-States,<=50K +24,State-gov,324637,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,267426,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +68,?,229016,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,25,United-States,<=50K +54,Private,46401,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,47,United-States,<=50K +32,Private,114288,HS-grad,9,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +61,?,203849,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Federal-gov,193882,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +53,Private,311269,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,156117,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K +64,?,169917,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,0,4,United-States,<=50K +51,Private,222615,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +41,State-gov,106900,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,60,United-States,>50K +40,Federal-gov,78036,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,65,United-States,>50K +27,Private,380560,HS-grad,9,Never-married,Farming-fishing,Other-relative,White,Male,0,0,40,Mexico,<=50K +41,Private,167106,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,3103,0,35,Philippines,>50K +51,Private,289436,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +36,Private,749636,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Self-emp-inc,154120,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,55,United-States,<=50K +43,Private,105119,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +61,Federal-gov,181081,HS-grad,9,Divorced,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K +31,Private,182237,10th,6,Separated,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +34,Private,102130,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K +43,Private,266324,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,99,United-States,>50K +52,Private,170562,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,240543,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +37,Federal-gov,187046,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +60,Private,389254,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,179955,Some-college,10,Widowed,Transport-moving,Unmarried,White,Female,0,0,25,Outlying-US(Guam-USVI-etc),<=50K +21,Private,197997,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +34,Self-emp-inc,343789,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,United-States,>50K +28,Private,191088,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,1741,52,United-States,<=50K +40,Local-gov,141649,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +26,Private,433906,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,207982,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +46,Private,175925,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,85767,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +32,Self-emp-inc,281030,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +90,?,313986,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +38,Private,396595,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +20,?,189203,Assoc-acdm,12,Never-married,?,Not-in-family,White,Male,0,0,20,United-States,<=50K +43,Self-emp-not-inc,163108,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K +17,Private,141590,11th,7,Never-married,Priv-house-serv,Own-child,White,Female,0,0,12,United-States,<=50K +36,Private,137421,12th,8,Never-married,Transport-moving,Not-in-family,Asian-Pac-Islander,Male,0,0,45,?,<=50K +36,Private,67728,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,Italy,<=50K +30,Private,345522,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,70,United-States,>50K +45,Private,330087,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,204322,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +29,Private,50295,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K +35,Self-emp-not-inc,147258,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,65,United-States,<=50K +19,Private,194260,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +56,Private,437727,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +64,?,34100,Some-college,10,Widowed,?,Not-in-family,White,Male,0,0,4,United-States,<=50K +62,?,186611,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,280960,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,24,United-States,<=50K +33,Private,33117,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,169628,Bachelors,13,Never-married,Sales,Unmarried,Black,Female,0,0,35,United-States,>50K +22,State-gov,124942,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,45,United-States,<=50K +44,Private,143368,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,55,United-States,<=50K +37,Private,255621,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +34,Self-emp-inc,154227,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,75,United-States,<=50K +43,Private,171438,Assoc-voc,11,Separated,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K +39,Private,191524,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,377017,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,32,United-States,<=50K +58,Private,192806,7th-8th,4,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,33,United-States,<=50K +31,?,259120,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,10,United-States,<=50K +45,Local-gov,234195,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +30,Private,147596,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +42,Private,147251,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,<=50K +50,Private,176157,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +25,Local-gov,176162,Assoc-voc,11,Never-married,Protective-serv,Own-child,White,Male,0,0,30,United-States,<=50K +34,Private,384150,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +50,Private,107665,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +72,?,82635,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +60,State-gov,165827,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +41,Private,287306,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K +71,Self-emp-not-inc,78786,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,10,United-States,<=50K +40,Self-emp-not-inc,33310,Prof-school,15,Divorced,Other-service,Not-in-family,White,Female,0,2339,35,United-States,<=50K +22,Private,349368,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,30,United-States,<=50K +52,Private,117674,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K +30,Private,310889,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,55,United-States,<=50K +36,?,187167,HS-grad,9,Separated,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +40,Private,379919,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,Federal-gov,34862,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +44,Private,201723,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K +38,Local-gov,161463,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K +46,Private,186410,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +57,Federal-gov,62020,Prof-school,15,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,55,United-States,>50K +39,Private,42044,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,170230,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,>50K +43,Private,341358,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +22,Private,199426,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,17,United-States,<=50K +44,Private,89172,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +22,?,148955,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,15,South,<=50K +37,Private,140673,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +20,?,71788,Some-college,10,Never-married,?,Own-child,White,Female,0,0,18,United-States,<=50K +26,State-gov,326033,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,80,United-States,<=50K +35,Private,129305,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +28,Private,171067,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,143582,Some-college,10,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Japan,<=50K +17,?,171461,10th,6,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +18,Private,257980,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,182866,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +44,Self-emp-inc,69333,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +61,Private,668362,1st-4th,2,Widowed,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,132879,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +61,Private,181219,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,40,United-States,>50K +19,?,166018,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,120518,HS-grad,9,Widowed,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +19,Private,183532,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +45,Private,49298,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,157332,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +37,Private,213726,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +26,Private,31143,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,?,256173,10th,6,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K +26,Private,184872,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,>50K +58,Private,202652,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,Dominican-Republic,<=50K +61,?,101602,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,>50K +64,Private,60940,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,8614,0,50,France,>50K +19,Private,292590,HS-grad,9,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,25,United-States,<=50K +36,Private,141420,Bachelors,13,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K +47,Private,159389,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +62,Private,254534,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +36,State-gov,89508,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,238980,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +54,Private,178946,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +31,Private,204752,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +26,Private,290213,Some-college,10,Separated,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +50,Private,102615,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K +41,Private,291965,Some-college,10,Never-married,Tech-support,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +52,Local-gov,175339,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +28,Private,90547,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,23,United-States,<=50K +23,?,449101,HS-grad,9,Married-civ-spouse,?,Own-child,White,Female,0,0,30,United-States,<=50K +46,Self-emp-not-inc,101722,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3137,0,40,United-States,<=50K +32,?,981628,HS-grad,9,Divorced,?,Unmarried,Black,Male,0,0,40,United-States,<=50K +59,?,147989,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +30,Self-emp-inc,204470,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,36,United-States,>50K +58,Local-gov,311409,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,7688,0,30,United-States,>50K +31,Private,190027,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,40,?,<=50K +36,Private,218015,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +31,State-gov,77634,Preschool,1,Never-married,Other-service,Not-in-family,White,Male,0,0,24,United-States,<=50K +52,Self-emp-not-inc,42984,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,>50K +29,Private,413297,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3411,0,70,Mexico,<=50K +48,Self-emp-not-inc,218835,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,England,<=50K +30,Private,341051,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +58,Private,252419,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +20,Federal-gov,347935,Some-college,10,Never-married,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K +19,Private,237848,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,3,United-States,<=50K +63,Private,174826,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Self-emp-not-inc,170086,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +53,Private,470368,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K +54,Federal-gov,75235,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K +35,?,35854,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +26,Private,746432,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,48,United-States,<=50K +47,Self-emp-not-inc,258498,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,52,United-States,<=50K +44,Private,176063,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +80,Self-emp-not-inc,26865,7th-8th,4,Never-married,Farming-fishing,Unmarried,White,Male,0,0,20,United-States,<=50K +55,Private,104724,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +43,Private,346321,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +49,Private,402462,Bachelors,13,Married-spouse-absent,Transport-moving,Unmarried,White,Male,0,0,30,Columbia,<=50K +27,Private,153078,Prof-school,15,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +42,Private,176063,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K +39,Private,451059,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +36,?,229533,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,106437,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +58,Local-gov,294313,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,55,United-States,<=50K +63,Private,67903,9th,5,Separated,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K +49,Private,133669,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +36,Self-emp-inc,251730,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K +46,Private,72896,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +47,Private,155664,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,55,United-States,>50K +39,Private,206520,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +33,Private,72338,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,65,Japan,>50K +43,Local-gov,34640,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Other,Male,0,1887,40,United-States,>50K +30,Private,236543,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,68,United-States,<=50K +39,Local-gov,43702,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,37,United-States,<=50K +44,Private,335248,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,198197,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K +80,?,281768,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,4,United-States,<=50K +31,Private,160594,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Male,0,0,3,United-States,<=50K +34,Local-gov,231826,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,El-Salvador,<=50K +28,Private,188171,Assoc-acdm,12,Never-married,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K +55,Private,125000,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +36,Private,166509,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,402367,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,7688,0,45,United-States,>50K +67,Local-gov,204123,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,10,United-States,<=50K +53,Self-emp-inc,220786,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K +43,Private,254146,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K +29,Local-gov,152461,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,42,United-States,<=50K +19,Private,223669,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +51,Private,120270,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +21,Self-emp-not-inc,304602,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,98,United-States,<=50K +54,Private,24108,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Self-emp-not-inc,32546,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,7430,0,40,United-States,>50K +41,Private,93885,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K +28,Private,210765,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,191276,Assoc-voc,11,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +82,Self-emp-not-inc,71438,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K +23,Private,330571,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,16,United-States,<=50K +40,Local-gov,138634,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,112264,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,205865,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,45,United-States,<=50K +21,Private,224640,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +27,Private,180758,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,United-States,<=50K +29,?,499935,Assoc-voc,11,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Self-emp-not-inc,107762,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +17,Private,214787,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +27,Private,211032,1st-4th,2,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +34,Private,208353,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,157273,10th,6,Never-married,Other-service,Other-relative,Black,Male,0,0,15,United-States,<=50K +39,Private,75891,Bachelors,13,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Self-emp-inc,177675,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +44,Private,182370,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,?,200525,11th,7,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K +39,Private,174242,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +28,Private,95566,1st-4th,2,Married-spouse-absent,Other-service,Own-child,Other,Female,0,0,35,Dominican-Republic,<=50K +30,Private,30290,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +60,Private,240951,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +58,Private,183810,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,24,United-States,<=50K +49,Private,94342,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +61,Self-emp-inc,148577,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +27,Private,103634,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K +59,Self-emp-not-inc,83542,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Federal-gov,76131,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,40,United-States,>50K +42,Federal-gov,262402,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,198286,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,34,United-States,<=50K +41,Self-emp-inc,145441,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +35,?,273558,Some-college,10,Never-married,?,Not-in-family,Black,Male,0,0,30,United-States,<=50K +50,Local-gov,117496,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,24,United-States,<=50K +36,Private,128876,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,199698,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,45,United-States,<=50K +38,Private,65390,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +46,Private,128645,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +59,Private,53481,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +55,Private,92215,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +49,Local-gov,78859,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,0,323,20,United-States,<=50K +59,Self-emp-inc,187502,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +38,Private,242080,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +22,Private,41837,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,25,United-States,<=50K +28,Private,291374,12th,8,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +47,Private,148995,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,60,United-States,>50K +59,Private,159008,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,<=50K +37,Private,271013,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,199046,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,164280,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Portugal,<=50K +35,Local-gov,116960,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +55,Private,100054,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,183824,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +48,Private,313925,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,>50K +48,Private,379883,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Cuba,>50K +70,?,92593,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,25,United-States,<=50K +27,Private,189777,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,198330,Masters,14,Widowed,Prof-specialty,Unmarried,Black,Female,0,0,37,United-States,<=50K +32,Private,127451,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +62,?,31577,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,18,United-States,<=50K +18,?,90230,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +50,Private,301024,Bachelors,13,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K +38,Self-emp-not-inc,175732,HS-grad,9,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,15,United-States,<=50K +18,Private,218889,9th,5,Never-married,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K +46,Private,117605,9th,5,Divorced,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K +26,Private,154571,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,45,United-States,>50K +44,Private,228057,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Dominican-Republic,<=50K +32,Private,173998,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +25,Private,90752,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +55,Private,51008,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +55,Federal-gov,113398,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +25,Private,74977,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +40,Private,101593,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +29,Private,228346,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +60,Private,180418,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,44489,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +43,Self-emp-not-inc,277488,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +24,Private,103064,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,55,United-States,<=50K +34,Private,226872,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Self-emp-not-inc,330416,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K +24,Private,186495,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K +47,State-gov,205712,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,38,United-States,<=50K +18,Private,217743,11th,7,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +50,Self-emp-inc,52565,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1485,40,United-States,<=50K +22,Private,239954,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,349986,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +41,Private,117585,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,40,United-States,>50K +68,Self-emp-not-inc,122094,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,15,United-States,<=50K +62,Self-emp-not-inc,26857,7th-8th,4,Widowed,Farming-fishing,Other-relative,White,Female,0,0,35,United-States,<=50K +25,Local-gov,192321,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +24,Private,88095,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,24,Mexico,<=50K +44,Private,144067,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,12,?,<=50K +32,Private,124187,9th,5,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K +49,Private,123681,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,>50K +68,Private,145638,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,130513,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,40,Peru,<=50K +47,Federal-gov,197038,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,189092,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +37,Self-emp-not-inc,198841,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,317969,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +37,Private,103121,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1848,40,United-States,>50K +34,Private,111589,10th,6,Never-married,Other-service,Unmarried,Black,Female,0,0,40,Jamaica,<=50K +46,Local-gov,267952,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,36,United-States,<=50K +21,Private,63899,11th,7,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +26,Private,473625,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K +45,Private,187901,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,2258,44,United-States,>50K +17,Private,24090,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,35,United-States,<=50K +36,Self-emp-inc,102729,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,<=50K +33,Private,91666,12th,8,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,215873,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K +32,Private,152109,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +24,Private,175586,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +37,Private,232614,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K +53,State-gov,229465,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +44,Private,147110,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,14344,0,40,United-States,>50K +43,Local-gov,161240,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K +29,Private,358124,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,52,United-States,<=50K +47,Private,222529,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K +37,Self-emp-not-inc,338320,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +43,Self-emp-inc,62026,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K +23,Private,263886,Some-college,10,Never-married,Sales,Not-in-family,Black,Female,0,0,20,United-States,<=50K +50,Private,310774,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +25,Private,98155,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,259307,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +39,Private,358753,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +41,Private,29762,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K +32,Private,202729,HS-grad,9,Married-civ-spouse,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,28790,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,53209,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +30,Local-gov,169020,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,127195,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,211731,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Mexico,<=50K +42,Self-emp-not-inc,126614,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Other,Male,0,0,30,Iran,<=50K +45,Private,259463,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +22,Private,228411,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K +25,Private,117827,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +22,Federal-gov,57216,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K +46,State-gov,250821,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +48,Self-emp-inc,88564,Some-college,10,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,45,United-States,<=50K +45,Private,172822,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,52,United-States,>50K +19,Private,251579,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,14,United-States,<=50K +31,Private,118399,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +30,Self-emp-inc,178383,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,70,United-States,<=50K +40,Self-emp-not-inc,170866,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K +60,?,268954,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,12,United-States,>50K +52,?,89951,12th,8,Married-civ-spouse,?,Wife,Black,Female,0,0,40,United-States,>50K +22,Private,203894,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +25,Private,237065,Some-college,10,Divorced,Other-service,Own-child,Black,Male,0,0,38,United-States,<=50K +51,Local-gov,108435,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,>50K +32,Private,93213,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,62,United-States,<=50K +51,Self-emp-inc,231230,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K +42,Private,386175,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +39,Private,128392,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K +24,Private,223515,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +52,Private,208630,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,1741,38,United-States,<=50K +58,?,97969,1st-4th,2,Married-spouse-absent,?,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +43,Private,174295,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +31,Private,60229,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,66095,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +31,Federal-gov,130057,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K +61,Private,179743,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,20,United-States,<=50K +26,Private,192022,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +46,Private,45288,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +62,?,178764,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +50,Private,99476,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +18,Private,41973,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,5,United-States,<=50K +23,Private,162228,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K +21,Private,211968,Some-college,10,Never-married,Sales,Own-child,White,Female,0,1762,28,United-States,<=50K +46,Private,211226,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,Other,Male,0,0,36,United-States,<=50K +38,Private,33397,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +53,Private,120839,12th,8,Divorced,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +53,Private,36327,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +50,Private,139703,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +26,Private,107827,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,25,United-States,<=50K +46,Local-gov,140219,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,8614,0,55,United-States,>50K +44,Local-gov,203761,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +36,Local-gov,114719,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +20,Private,344394,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +35,Private,195516,7th-8th,4,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,Mexico,<=50K +40,State-gov,31627,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,20,United-States,<=50K +70,Private,174032,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,226875,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,566537,Preschool,1,Married-civ-spouse,Other-service,Husband,White,Male,0,1672,40,Mexico,<=50K +18,Private,36162,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,5,United-States,<=50K +45,Self-emp-not-inc,31478,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,2829,0,60,United-States,<=50K +52,Private,294991,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +24,?,108495,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +42,Self-emp-inc,161532,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,60,United-States,<=50K +28,Local-gov,332249,HS-grad,9,Separated,Transport-moving,Own-child,White,Male,0,0,45,United-States,<=50K +32,Private,268147,Assoc-voc,11,Never-married,Tech-support,Unmarried,White,Female,0,0,60,United-States,<=50K +56,Federal-gov,317847,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,52028,1st-4th,2,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +20,Private,184045,Some-college,10,Never-married,Sales,Unmarried,Black,Female,0,0,30,United-States,<=50K +32,Private,206609,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +59,Private,152968,Some-college,10,Separated,Adm-clerical,Other-relative,White,Male,3325,0,40,United-States,<=50K +21,Private,213015,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,2176,0,40,United-States,<=50K +32,Private,313835,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +49,Private,66385,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,5013,0,40,United-States,<=50K +22,Private,205940,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,1055,0,30,United-States,<=50K +51,Self-emp-inc,260938,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +33,Private,60567,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3411,0,40,United-States,<=50K +23,Private,335067,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +34,Private,331126,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,30,United-States,<=50K +53,Private,156612,12th,8,Divorced,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,188436,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +60,Private,227468,Some-college,10,Widowed,Protective-serv,Not-in-family,Black,Female,0,0,40,United-States,<=50K +55,Private,183580,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K +57,Self-emp-not-inc,50990,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +59,Private,384246,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +26,?,375313,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +30,Private,176410,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Own-child,White,Female,7298,0,16,United-States,>50K +49,Private,93639,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,43,United-States,<=50K +45,Private,30289,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Self-emp-inc,124950,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +37,Self-emp-not-inc,126675,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +21,Private,145964,12th,8,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,State-gov,345712,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +18,?,97474,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +37,Private,180342,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +19,Private,167087,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +65,?,192825,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K +30,Private,318749,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,35,Germany,<=50K +27,?,147638,Masters,14,Never-married,?,Not-in-family,Other,Female,0,0,40,Japan,<=50K +59,Federal-gov,293971,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +32,Private,229566,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,>50K +25,Private,242464,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,111067,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,80,United-States,>50K +21,?,155697,9th,5,Never-married,?,Own-child,White,Male,0,0,42,United-States,<=50K +49,Local-gov,106554,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K +49,Private,23776,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +51,?,43909,HS-grad,9,Divorced,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +48,Private,105808,9th,5,Widowed,Transport-moving,Unmarried,White,Male,0,0,40,United-States,>50K +42,Private,169995,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +53,Private,141388,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Self-emp-not-inc,241431,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +21,?,78374,HS-grad,9,Never-married,?,Other-relative,Asian-Pac-Islander,Female,0,0,24,United-States,<=50K +54,Self-emp-not-inc,158948,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,15,United-States,<=50K +66,Private,115498,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,55,?,>50K +34,Private,272411,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,30529,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K +62,?,263374,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,40,Canada,<=50K +30,Private,190228,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,126060,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,391192,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,214069,HS-grad,9,Separated,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,170871,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,60,United-States,>50K +55,Private,118993,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,10,United-States,<=50K +26,Private,245880,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K +45,Private,174794,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,56,Germany,<=50K +61,Local-gov,153408,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +34,?,330301,7th-8th,4,Separated,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +26,Private,385278,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,60,United-States,<=50K +44,Federal-gov,38434,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Self-emp-not-inc,111679,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +55,Private,168956,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,86143,Some-college,10,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K +48,Private,99835,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +33,Private,263561,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +44,Private,118536,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +32,Self-emp-inc,209691,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Canada,<=50K +54,Private,123374,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,137225,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +29,Private,119359,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,10,China,>50K +56,Private,134153,10th,6,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +47,Private,121124,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +22,Private,147655,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,165138,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +24,Federal-gov,312017,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,272950,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Private,259323,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +44,Federal-gov,281739,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,13550,0,50,United-States,>50K +21,Private,119156,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +55,Private,165881,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +23,State-gov,136075,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K +50,Private,187465,11th,7,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,328561,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,20,United-States,<=50K +48,Private,350440,Some-college,10,Married-civ-spouse,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,40,Cambodia,>50K +38,Self-emp-not-inc,109133,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K +48,Private,109814,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,45,United-States,>50K +39,Private,86643,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +52,Federal-gov,154521,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,44,United-States,>50K +63,Private,45912,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +48,Private,175070,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,2258,40,United-States,>50K +37,Private,338033,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,State-gov,158963,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Self-emp-inc,121441,11th,7,Never-married,Exec-managerial,Other-relative,White,Male,0,2444,40,United-States,>50K +47,Self-emp-not-inc,242391,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +19,Private,119964,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Female,0,0,15,United-States,<=50K +34,Private,193344,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,Germany,<=50K +29,Local-gov,45554,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,249716,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K +53,Private,58985,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,24,United-States,<=50K +24,Private,456367,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,117381,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K +50,Self-emp-not-inc,240922,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,1408,5,United-States,<=50K +31,Private,226443,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,364342,Assoc-voc,11,Never-married,Sales,Not-in-family,Black,Female,0,0,25,United-States,<=50K +42,Local-gov,101593,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,42,United-States,<=50K +23,Private,267471,12th,8,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +22,Private,186849,11th,7,Divorced,Sales,Own-child,White,Male,0,0,50,United-States,<=50K +65,Private,174603,5th-6th,3,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,10,Italy,<=50K +34,Private,115040,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +23,Private,142766,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,1055,0,20,United-States,<=50K +38,Private,59660,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K +45,Self-emp-not-inc,49595,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,<=50K +19,Private,127491,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,155933,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,1602,8,United-States,<=50K +23,Private,122272,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +37,Private,143771,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +59,Private,91384,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +36,State-gov,135874,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,207066,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,10520,0,45,United-States,>50K +51,Private,172493,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,12,United-States,<=50K +42,Local-gov,189956,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,30,United-States,<=50K +35,Private,106967,Masters,14,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,200153,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,38,United-States,<=50K +25,Private,149943,HS-grad,9,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,4101,0,60,?,<=50K +41,Private,151736,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,67852,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,35,United-States,<=50K +36,Private,54229,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,37,United-States,<=50K +34,Self-emp-inc,154120,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +44,Self-emp-not-inc,157217,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K +31,Federal-gov,381645,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Local-gov,160785,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,133584,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,170230,Masters,14,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Private,250206,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K +19,Private,128363,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +43,Local-gov,163434,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,55,United-States,>50K +50,Private,195690,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +44,Self-emp-inc,138991,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +46,Private,118419,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,38,United-States,<=50K +52,Self-emp-not-inc,185407,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +52,Self-emp-not-inc,283079,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +18,Private,119655,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K +29,Private,153416,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +19,?,204868,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,36,United-States,<=50K +34,Private,220362,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +23,Local-gov,203078,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K +64,State-gov,104361,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,65,United-States,<=50K +68,Private,274096,10th,6,Divorced,Transport-moving,Not-in-family,White,Male,0,0,20,United-States,<=50K +42,State-gov,455553,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +41,Private,112283,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +41,Self-emp-inc,64506,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +22,State-gov,24395,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K +67,Self-emp-inc,182581,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,20,United-States,>50K +27,Private,100669,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +25,Private,178025,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +49,?,113913,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,60,United-States,<=50K +28,Private,55191,Assoc-acdm,12,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K +51,Federal-gov,223206,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,15024,0,40,Vietnam,>50K +23,Local-gov,162551,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,35,China,<=50K +19,Private,693066,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +72,?,96867,5th-6th,3,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,256362,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +53,Private,539864,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,20,United-States,<=50K +35,Private,241153,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,284395,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,180039,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +45,Private,178416,Assoc-voc,11,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,175710,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,?,<=50K +22,Local-gov,164775,5th-6th,3,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Guatemala,>50K +55,Private,176897,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,265097,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,1902,40,United-States,>50K +22,Private,193090,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,37,United-States,<=50K +37,Private,186009,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1672,60,United-States,<=50K +28,Private,175262,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,109928,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,35,United-States,<=50K +37,Self-emp-not-inc,162834,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,45,United-States,>50K +50,Private,177896,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +31,Private,181372,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +40,Private,70645,Preschool,1,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +51,Private,128272,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +56,Private,106723,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,122348,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,35,United-States,<=50K +40,Private,177905,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,44,United-States,>50K +22,Private,254547,Some-college,10,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,Jamaica,<=50K +47,Self-emp-inc,102308,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,45,United-States,>50K +44,Private,33105,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +30,Private,215441,Some-college,10,Never-married,Adm-clerical,Not-in-family,Other,Male,0,0,40,?,<=50K +44,Local-gov,197919,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,206139,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +47,Private,117849,Assoc-acdm,12,Divorced,Sales,Own-child,White,Male,0,0,44,United-States,<=50K +26,Private,323044,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,Germany,>50K +34,Private,90415,Assoc-voc,11,Never-married,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K +47,Private,294913,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K +36,Private,127573,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +21,Private,180190,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,46,United-States,<=50K +45,State-gov,231013,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,356015,HS-grad,9,Separated,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,35,Hong,<=50K +33,Private,198069,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,65,United-States,<=50K +58,Self-emp-not-inc,99141,HS-grad,9,Divorced,Farming-fishing,Unmarried,White,Female,0,0,10,United-States,<=50K +31,Private,188246,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K +32,Self-emp-not-inc,116508,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K +44,Federal-gov,38434,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K +24,Private,128477,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,91839,Bachelors,13,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,7688,0,20,United-States,>50K +43,Private,409922,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +49,Private,185041,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,103925,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K +42,Self-emp-not-inc,34037,Bachelors,13,Never-married,Farming-fishing,Own-child,White,Male,0,0,35,United-States,<=50K +31,Private,251659,Some-college,10,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,1485,55,?,>50K +19,Private,57145,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +41,Private,182108,Doctorate,16,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,>50K +51,Self-emp-inc,213296,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +51,Self-emp-inc,28765,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +63,Private,37792,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,31,United-States,<=50K +39,Federal-gov,232036,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +30,Private,33678,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +62,Without-pay,159908,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,16,United-States,<=50K +27,Private,176761,HS-grad,9,Never-married,Craft-repair,Other-relative,Other,Male,0,0,40,Nicaragua,<=50K +32,Private,260954,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2042,30,United-States,<=50K +37,Local-gov,180342,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +47,Local-gov,324791,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,50,United-States,>50K +31,Private,183801,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,43,United-States,>50K +42,Private,204235,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,249720,Assoc-voc,11,Married-spouse-absent,Sales,Unmarried,Black,Female,0,0,32,United-States,<=50K +60,Private,127084,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,2042,34,United-States,<=50K +42,Local-gov,201495,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,>50K +38,Private,447346,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,>50K +24,Private,206008,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,Black,Male,0,0,20,United-States,<=50K +34,Private,286020,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +20,?,99891,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +29,Local-gov,169544,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,48,United-States,<=50K +90,Private,313749,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,25,United-States,<=50K +55,Private,89182,12th,8,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Italy,<=50K +36,Private,258102,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Private,255466,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +50,Private,38795,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +17,Private,311907,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +54,Private,171924,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K +26,Private,164488,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,10,United-States,<=50K +44,Private,297991,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,50,United-States,<=50K +28,Private,478315,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K +54,Local-gov,34832,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +21,Private,67804,9th,5,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,20,United-States,<=50K +24,Private,34568,Assoc-voc,11,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,47151,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,56,United-States,<=50K +59,?,120617,Some-college,10,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +41,Private,318046,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,>50K +29,Private,363963,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Private,92811,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,33678,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +42,Private,66118,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,160474,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,>50K +44,Private,159960,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Private,242987,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Columbia,<=50K +61,Private,232719,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +65,Local-gov,103153,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1411,40,United-States,<=50K +45,Local-gov,162187,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +59,Private,207391,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Never-worked,176673,HS-grad,9,Married-civ-spouse,?,Wife,Black,Female,0,0,40,United-States,<=50K +34,Private,356882,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +24,Private,427686,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K +42,Self-emp-inc,191196,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,?,>50K +37,Private,377798,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K +36,Private,43712,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,?,205939,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +54,Private,161691,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,2559,40,United-States,>50K +34,Private,346034,12th,8,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,0,35,Mexico,<=50K +41,Private,144460,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,Italy,<=50K +18,Never-worked,153663,Some-college,10,Never-married,?,Own-child,White,Male,0,0,4,United-States,<=50K +26,Private,262617,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +23,Federal-gov,173851,HS-grad,9,Never-married,Armed-Forces,Not-in-family,White,Male,0,0,8,United-States,<=50K +63,?,126540,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,5,United-States,<=50K +34,Private,117963,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +54,Private,219737,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,37,United-States,<=50K +37,Private,328466,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,Mexico,<=50K +54,State-gov,138852,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +22,Local-gov,195532,Some-college,10,Never-married,Protective-serv,Other-relative,White,Female,0,0,43,United-States,<=50K +32,Private,188246,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,State-gov,138162,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +31,State-gov,110714,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,37,United-States,<=50K +48,Private,123075,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +28,Private,330466,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Hong,<=50K +31,Private,254304,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K +28,Private,435842,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,118657,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,278188,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,45,United-States,<=50K +26,Private,233777,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,Mexico,<=50K +37,Self-emp-inc,328466,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +24,Private,176580,5th-6th,3,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,40,Mexico,<=50K +18,?,156608,11th,7,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K +32,Private,172415,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,194951,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,55,Ireland,<=50K +33,Local-gov,318921,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Female,0,0,35,United-States,<=50K +49,Private,189462,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +75,Self-emp-not-inc,192813,Masters,14,Widowed,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +74,Self-emp-not-inc,199136,Bachelors,13,Widowed,Craft-repair,Not-in-family,White,Male,15831,0,8,Germany,>50K +26,Private,156805,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +66,?,93318,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,121966,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +18,Private,347336,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K +33,Private,205950,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,State-gov,212143,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K +44,Private,187821,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +36,Private,250807,11th,7,Never-married,Craft-repair,Not-in-family,Black,Female,0,0,40,United-States,<=50K +53,Private,291755,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +60,Private,36077,7th-8th,4,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,119793,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K +36,Private,184655,10th,6,Divorced,Transport-moving,Unmarried,White,Male,0,0,48,United-States,<=50K +35,Private,162256,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,6849,0,40,United-States,<=50K +45,Self-emp-not-inc,204405,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K +23,Private,133355,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K +35,Private,89559,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,55,United-States,<=50K +34,Private,115066,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K +46,Private,139514,Preschool,1,Married-civ-spouse,Machine-op-inspct,Other-relative,Black,Male,0,0,75,Dominican-Republic,<=50K +58,State-gov,200316,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Local-gov,166502,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +63,Private,226422,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,251305,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,190482,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,76,United-States,<=50K +41,Private,122215,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +42,Private,248356,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +90,Local-gov,214594,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,2653,0,40,United-States,<=50K +41,Private,220460,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,174043,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +53,Self-emp-not-inc,137547,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,27828,0,40,Philippines,>50K +49,Self-emp-not-inc,111959,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Scotland,>50K +51,Private,40641,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +22,Private,205940,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,265077,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +59,Private,395736,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +40,Private,306225,HS-grad,9,Divorced,Craft-repair,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Japan,<=50K +28,Private,180299,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K +39,Private,214896,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,El-Salvador,<=50K +25,Private,273792,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,37,United-States,<=50K +48,State-gov,224474,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +62,Private,271431,9th,5,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,42,United-States,<=50K +44,Local-gov,150171,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Federal-gov,381789,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +62,Private,170984,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +32,Private,108256,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +59,Federal-gov,23789,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +20,Private,176321,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,20,United-States,<=50K +40,Private,260425,Assoc-acdm,12,Separated,Tech-support,Unmarried,White,Female,1471,0,32,United-States,<=50K +47,Private,248059,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,47,United-States,>50K +60,Private,56248,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,199763,HS-grad,9,Separated,Protective-serv,Not-in-family,White,Male,0,0,81,United-States,<=50K +18,Private,200047,12th,8,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K +43,Private,191712,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,1741,40,United-States,<=50K +31,Self-emp-not-inc,156033,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +22,Private,173736,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +56,Private,135458,HS-grad,9,Divorced,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K +41,Private,185660,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,222005,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K +42,Private,161510,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K +53,Local-gov,186303,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,40,United-States,>50K +52,Local-gov,143533,7th-8th,4,Never-married,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K +42,Private,288154,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,89,United-States,>50K +48,Private,325372,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Portugal,<=50K +35,Private,379959,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,168387,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,234640,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +33,Private,232475,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K +30,Private,205152,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,112115,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,183854,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +26,Private,164386,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,48,United-States,<=50K +61,Private,149620,Some-college,10,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +45,Private,199590,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,<=50K +29,Private,83742,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K +57,Self-emp-not-inc,65080,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +33,Private,191335,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,50,United-States,>50K +20,Private,227778,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,56,United-States,<=50K +26,Private,48280,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,66304,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +23,Private,45834,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +31,Private,298995,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,35,United-States,<=50K +47,Private,161950,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K +61,Private,98776,11th,7,Widowed,Handlers-cleaners,Not-in-family,White,Female,0,0,30,United-States,<=50K +35,Private,102268,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +23,Private,180771,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Wife,Amer-Indian-Eskimo,Female,0,0,35,Mexico,<=50K +20,?,203992,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,206878,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K +39,Federal-gov,110622,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +51,Local-gov,203334,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K +61,Self-emp-not-inc,50483,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,56,United-States,<=50K +51,Private,274502,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,48,United-States,<=50K +36,Private,208068,Preschool,1,Divorced,Other-service,Not-in-family,Other,Male,0,0,72,Mexico,<=50K +41,Self-emp-not-inc,168098,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +34,Private,213307,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Female,7443,0,35,United-States,<=50K +25,Private,175128,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,40955,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +19,Private,60890,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,49,United-States,<=50K +66,Self-emp-not-inc,102686,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,>50K +23,Private,190273,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +30,Self-emp-not-inc,176185,Some-college,10,Married-spouse-absent,Craft-repair,Own-child,White,Male,0,0,60,United-States,>50K +53,Private,304504,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,45,United-States,>50K +25,Private,390657,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +18,Private,41381,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,1602,20,United-States,<=50K +51,Private,101432,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,190682,HS-grad,9,Widowed,Craft-repair,Not-in-family,Black,Female,0,1669,50,United-States,<=50K +53,Private,158993,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,38,United-States,<=50K +17,Private,117798,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +61,Private,137554,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,Self-emp-inc,71556,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,?,>50K +38,Private,257416,9th,5,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +40,Private,195617,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,20,United-States,<=50K +32,Private,236318,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,32,United-States,<=50K +46,Private,42251,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +50,Private,257933,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,109133,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +30,Self-emp-not-inc,261943,11th,7,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,30,Honduras,<=50K +33,Private,139057,Masters,14,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K +36,Private,237943,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,45,United-States,>50K +85,Private,98611,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,3,Poland,<=50K +62,Private,128092,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K +24,Private,284317,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,32,United-States,<=50K +48,Self-emp-inc,185041,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,United-States,>50K +58,Local-gov,223214,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +45,Self-emp-inc,173664,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +66,Private,269665,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,25,United-States,<=50K +37,Private,121521,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K +55,Private,199713,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +39,Self-emp-not-inc,193689,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,<=50K +58,Self-emp-inc,181974,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,99,?,<=50K +50,Private,485710,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +28,Private,185647,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K +34,Private,30673,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +41,Federal-gov,160467,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,1506,0,40,United-States,<=50K +36,Private,186819,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K +22,Private,67234,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,45,United-States,<=50K +35,Private,30673,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,84,United-States,<=50K +49,?,114648,12th,8,Divorced,?,Other-relative,Black,Male,0,0,40,United-States,<=50K +21,Private,182117,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +64,State-gov,222966,7th-8th,4,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K +41,Private,201495,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +52,Private,301229,Assoc-voc,11,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,157747,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,155382,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +48,Private,268083,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,113987,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +24,Private,216984,Some-college,10,Married-civ-spouse,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,35,United-States,<=50K +51,Private,177669,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +32,Private,164190,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +61,Private,355645,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,<=50K +60,?,134152,9th,5,Divorced,?,Not-in-family,Black,Male,0,0,35,United-States,<=50K +33,Private,63079,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +42,Self-emp-not-inc,217597,HS-grad,9,Divorced,Sales,Own-child,White,Male,0,0,50,?,<=50K +24,Private,381895,11th,7,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +82,?,403910,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,3,United-States,<=50K +26,Private,179010,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K +18,Private,436163,11th,7,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +34,Private,321709,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K +57,Private,153918,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,403788,HS-grad,9,Never-married,Craft-repair,Other-relative,Black,Male,0,0,40,United-States,<=50K +34,Private,60567,11th,7,Divorced,Transport-moving,Unmarried,White,Male,0,880,60,United-States,<=50K +71,Private,138145,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +35,Local-gov,79649,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +47,Private,312088,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,208630,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,>50K +33,Private,182401,10th,6,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +38,Private,32916,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +50,Private,302372,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,155093,10th,6,Divorced,Other-service,Not-in-family,Black,Female,0,0,38,Dominican-Republic,<=50K +32,Private,192965,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +39,Private,107302,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,?,>50K +25,Local-gov,514716,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +20,Private,270436,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,42972,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,22,United-States,>50K +40,Private,142657,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,45,United-States,<=50K +66,Federal-gov,47358,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,3471,0,40,United-States,<=50K +30,Private,176175,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,24,United-States,<=50K +36,Private,131459,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +57,Local-gov,110417,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K +46,Private,364548,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +27,Private,177398,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,64,United-States,<=50K +33,Private,273243,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +58,Private,147707,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,77266,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K +26,Private,191648,Assoc-acdm,12,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,15,United-States,<=50K +81,?,120478,Assoc-voc,11,Divorced,?,Unmarried,White,Female,0,0,1,?,<=50K +32,Private,211349,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,203715,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,292592,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +29,Private,125976,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +35,?,320084,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,55,United-States,>50K +30,?,33811,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,99,United-States,<=50K +34,Private,204461,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +54,Private,337992,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,Japan,>50K +37,Private,179137,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,39,United-States,<=50K +22,Private,325033,12th,8,Never-married,Protective-serv,Own-child,Black,Male,0,0,35,United-States,<=50K +34,Private,160216,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,>50K +30,Private,345898,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,46,United-States,<=50K +38,Private,139180,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,15020,0,45,United-States,>50K +71,?,287372,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,>50K +45,State-gov,252208,HS-grad,9,Separated,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +41,?,202822,HS-grad,9,Separated,?,Not-in-family,Black,Female,0,0,32,United-States,<=50K +72,?,129912,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K +45,Local-gov,119199,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,48,United-States,<=50K +31,Private,199655,Masters,14,Divorced,Other-service,Not-in-family,Other,Female,0,0,30,United-States,<=50K +39,Local-gov,111499,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K +37,Private,198216,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,260761,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +65,Self-emp-not-inc,99359,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,1086,0,60,United-States,<=50K +43,State-gov,255835,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +43,Self-emp-not-inc,27242,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,34066,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +43,Private,84661,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +32,Private,116138,Masters,14,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,11,Taiwan,<=50K +53,Private,321865,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +22,Private,310152,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,257302,Assoc-acdm,12,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,38,United-States,<=50K +40,Private,154374,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +58,Private,151910,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,201490,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +52,Self-emp-inc,287927,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,40,United-States,>50K \ No newline at end of file diff --git a/baselines/flanders/flanders/datasets_files/houses_preprocessed.csv b/baselines/flanders/flanders/datasets_files/houses_preprocessed.csv new file mode 100644 index 000000000000..0d4685fce381 --- /dev/null +++ b/baselines/flanders/flanders/datasets_files/houses_preprocessed.csv @@ -0,0 +1,15740 @@ +,longitude,latitude,housing_median_age,total_rooms,total_bedrooms,population,households,median_income,median_house_value,ocean_proximity_<1H OCEAN,ocean_proximity_INLAND,ocean_proximity_ISLAND,ocean_proximity_NEAR BAY,ocean_proximity_NEAR OCEAN,household_per_room,bedrooms_per_room,household_per_population,total_income +0,-122.23,37.88,41.0,880.0,129.0,322.0,126.0,8.3252,452600.0,0,0,0,1,0,0.1431818181818182,0.14659090909090908,0.391304347826087,1048.9752 +1,-122.22,37.86,21.0,7099.0,1106.0,2401.0,1138.0,8.3014,358500.0,0,0,0,1,0,0.1603042682067897,0.15579659106916466,0.4739691795085381,9446.993199999999 +2,-122.24,37.85,52.0,1467.0,190.0,496.0,177.0,7.2574,352100.0,0,0,0,1,0,0.12065439672801637,0.12951601908657123,0.35685483870967744,1284.5598 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+20638,-121.32,39.43,18.0,1860.0,409.0,741.0,349.0,1.8672,84700.0,0,1,0,0,0,0.18763440860215053,0.21989247311827956,0.4709851551956815,651.6528 +20639,-121.24,39.37,16.0,2785.0,616.0,1387.0,530.0,2.3886,89400.0,0,1,0,0,0,0.19030520646319568,0.22118491921005387,0.3821196827685652,1265.9579999999999 diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 30dec8c38b4f..353077b79257 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -27,7 +27,6 @@ CifarClient, HouseClient, IncomeClient, - ToyClient, set_params, get_params, MnistClient, @@ -41,7 +40,19 @@ no_attack, minmax_attack ) -from .utils import l2_norm, mnist_evaluate +from .utils import ( + l2_norm, + mnist_evaluate, + cifar_evaluate, + house_evaluate, + income_evaluate +) +from .dataset import ( + get_partitioned_income, + get_partitioned_house, + get_cifar_10, + do_fl_partitioning +) from .server import EnhancedServer from torch.utils.data import DataLoader @@ -50,15 +61,6 @@ from .strategy import Flanders - -#from attacks import ( -# fang_attack, -# gaussian_attack, -# lie_attack, -# no_attack, -# minmax_attack -#) - from flwr.server.strategy.fedavg import FedAvg from flwr.common import ( ndarrays_to_parameters, @@ -88,8 +90,6 @@ def main(cfg: DictConfig) -> None: if os.path.exists(cfg.server.history_dir): shutil.rmtree(cfg.server.history_dir) - evaluate_fn = mnist_evaluate - attacks = { "no_attack": no_attack, "gaussian_attack": gaussian_attack, @@ -99,13 +99,14 @@ def main(cfg: DictConfig) -> None: } clients = { - "mnist": MnistClient, - "cifar": CifarClient, - "house": HouseClient, - "income": IncomeClient, - "toy": ToyClient + "mnist": (MnistClient, mnist_evaluate), + "cifar": (CifarClient, cifar_evaluate), + "house": (HouseClient, house_evaluate), + "income": (IncomeClient, income_evaluate) } + evaluate_fn = clients[cfg.dataset.name][1] + # 2. Prepare your dataset # here you should call a function in datasets.py that returns whatever is needed to: # (1) ensure the server can access the dataset used to evaluate your model after @@ -113,16 +114,32 @@ def main(cfg: DictConfig) -> None: # (2) tell each client what dataset partitions they should use (e.g. a this could # be a location in the file system, a list of dataloader, a list of ids to extract # from a dataset, it's up to you) - - # Managed by clients + if cfg.dataset.name == "cifar": + train_path, testset = get_cifar_10() + fed_dir = do_fl_partitioning( + train_path, pool_size=cfg.server.pool_size, alpha=10000, num_classes=10, val_ratio=0.5, seed=1234 + ) + elif cfg.dataset.name == "income": + X_train, X_test, y_train, y_test = get_partitioned_income("flanders/datasets_files/adult.csv", cfg.server.pool_size) + elif cfg.dataset.name == "house": + X_train, X_test, y_train, y_test = get_partitioned_house("flanders/datasets_files/houses_preprocessed.csv", cfg.server.pool_size) # 3. Define your clients # Define a function that returns another function that will be used during # simulation to instantiate each individual client # client_fn = client.() - def client_fn(cid: int, pool_size: int = 10, dataset_name: str = cfg.dataset.name): - client = clients[dataset_name] - return client(cid, pool_size) + def client_fn(cid: str, pool_size: int = 10, dataset_name: str = cfg.dataset.name): + client = clients[dataset_name][0] + cid_idx = int(cid) + if dataset_name == "cifar": + return client(cid, fed_dir) + elif dataset_name == "income": + return client(cid, X_train[cid_idx], y_train[cid_idx], X_test[cid_idx], y_test[cid_idx]) + elif dataset_name == "house": + return client(cid, X_train[cid_idx], y_train[cid_idx], X_test[cid_idx], y_test[cid_idx]) + else: + raise ValueError("Dataset not supported") + # 4. Define your strategy # pass all relevant argument (including the global dataset used after aggregation, diff --git a/baselines/flanders/flanders/models.py b/baselines/flanders/flanders/models.py index 90739f6b6573..eee88b523d9d 100644 --- a/baselines/flanders/flanders/models.py +++ b/baselines/flanders/flanders/models.py @@ -158,50 +158,4 @@ def test_cifar(net, testloader, device: str): y_pred = list(itertools.chain(*y_pred)) auc = roc_auc_multiclass(y_true, y_pred) accuracy = correct / total - return loss, accuracy, auc - -# Source: https://www.datacamp.com/tutorial/pytorch-tutorial-building-a-simple-neural-network-from-scratch -class ToyNN(nn.Module): - def __init__(self, input_dim=2, hidden_dim=10, output_dim=1): - super(ToyNN, self).__init__() - self.layer_1 = nn.Linear(input_dim, hidden_dim) - nn.init.kaiming_uniform_(self.layer_1.weight, nonlinearity="relu") - self.layer_2 = nn.Linear(hidden_dim, output_dim) - - def forward(self, x): - x = torch.nn.functional.relu(self.layer_1(x)) - x = torch.nn.functional.sigmoid(self.layer_2(x)) - return x - -def train_toy(model, dataloader, epochs, device): - loss_fn = nn.BCELoss() - optimizer = torch.optim.SGD(model.parameters(), lr=0.1) - loss_values = [] - for epoch in range(epochs): - for X, y in dataloader: - # zero the parameter gradients - optimizer.zero_grad() - - # forward + backward + optimize - pred = model(X) - loss = loss_fn(pred, y.unsqueeze(-1)) - loss_values.append(loss.item()) - loss.backward() - optimizer.step() - -def test_toy(model, dataloader, device): - y_pred = [] - y_test = [] - total = 0 - correct = 0 - with torch.no_grad(): - for X, y in dataloader: - outputs = model(X) - predicted = np.where(outputs < 0.5, 0, 1) - predicted = list(itertools.chain(*predicted)) - y_pred.append(predicted) - y_test.append(y) - total += y.size(0) - correct += (predicted == y.numpy()).sum().item() - # loss, accuracy - return 0, correct / total \ No newline at end of file + return loss, accuracy, auc \ No newline at end of file diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index b3a6f06b964e..ba8ad6c5792c 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -129,7 +129,7 @@ def aggregate_fit( server_round: int, results: List[Tuple[ClientProxy, FitRes]], failures: List[Union[Tuple[ClientProxy, FitRes], BaseException]], - clients_state: List[bool], + clients_state: Dict[int, bool], ) -> Tuple[Optional[Parameters], Dict[str, Scalar]]: """ Apply MAR forecasting to exclude malicious clients from FedAvg. diff --git a/baselines/flanders/flanders/utils.py b/baselines/flanders/flanders/utils.py index eeafc6de96d6..f0c6d11a1ef6 100644 --- a/baselines/flanders/flanders/utils.py +++ b/baselines/flanders/flanders/utils.py @@ -4,7 +4,6 @@ import numpy as np import os -import json import torch import pandas as pd from natsort import natsorted @@ -19,19 +18,20 @@ from torch.utils.data import DataLoader from torchvision import transforms from torchvision.datasets import MNIST +from sklearn.linear_model import LogisticRegression, ElasticNet +from sklearn.metrics import accuracy_score, log_loss, roc_auc_score, mean_squared_error, mean_absolute_percentage_error, r2_score from .models import ( MnistNet, - ToyNN, - roc_auc_multiclass, - test_toy, - train_mnist, - test_mnist, - train_toy + test_mnist, + CifarNet, + train_cifar, + test_cifar ) -from .client import set_params +from .client import set_params, set_sklearn_model_params, get_sklearn_model_params +from .dataset import get_cifar_10, get_partitioned_income, get_partitioned_house -lock = Lock() # if the script is run on multiple processors we need a lock to save the results +lock = Lock() def l2_norm(true_matrix, predicted_matrix): """ @@ -185,10 +185,72 @@ def mnist_evaluate( testloader = DataLoader(testset, batch_size=32, shuffle=False, num_workers=1) loss, accuracy, auc = test_mnist(model, testloader, device=device) - #config["id"] = args.exp_num config["round"] = server_round config["auc"] = auc save_results(loss, accuracy, config=config) print(f"Round {server_round} accuracy: {accuracy} loss: {loss} auc: {auc}") return loss, {"accuracy": accuracy, "auc": auc} + + +def cifar_evaluate( + server_round: int, parameters: NDArrays, config: Dict[str, Scalar] +) -> Optional[Tuple[float, float]]: + device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") + + model = CifarNet() + set_params(model, parameters) + model.to(device) + + _, testset = get_cifar_10() + testloader = torch.utils.data.DataLoader(testset, batch_size=32) + loss, accuracy, auc = test_cifar(model, testloader, device=device) + + config["round"] = server_round + config["auc"] = auc + save_results(loss, accuracy, config=config) + + # return statistics + return loss, {"accuracy": accuracy, "auc": auc} + + +def income_evaluate( + server_round: int, parameters: NDArrays, config: Dict[str, Scalar] +) -> Optional[Tuple[float, float]]: + model = LogisticRegression() + model = set_sklearn_model_params(model, parameters) + model.classes_ = np.array([0.0, 1.0]) + + _, x_test, _, y_test = get_partitioned_income("flanders/datasets_files/adult_server.csv", 1, train_size=0.0, test_size=1.0) + x_test = x_test[0] + y_test = y_test[0] + y_pred = model.predict(x_test) + accuracy = accuracy_score(y_test, y_pred) + loss = log_loss(y_test, model.predict_proba(x_test)) + auc = roc_auc_score(y_test, model.predict_proba(x_test)[:,1]) + + config["round"] = server_round + config["auc"] = auc + save_results(loss, accuracy, config=config) + + return loss, {"accuracy": accuracy, "auc": auc} + + +def house_evaluate( + server_round: int, parameters: NDArrays, config: Dict[str, Scalar] +) -> Optional[Tuple[float, float]]: + model = ElasticNet(alpha=1, warm_start=True) + model = set_sklearn_model_params(model, parameters) + _, x_test, _, y_test = get_partitioned_house("flanders/datasets_files/houses_server.csv", 1, train_size=0.0, test_size=1.0) + x_test = x_test[0] + y_test = y_test[0] + y_pred = model.predict(x_test) + loss = mean_squared_error(y_test, y_pred) + mape = mean_absolute_percentage_error(y_test, y_pred) + rsq = r2_score(y_test, y_pred) + arsq = 1 - (1-rsq) * (len(y_test)-1)/(len(y_test)-x_test.shape[1]-1) + config["round"] = server_round + config["auc"] = mape + save_results(loss, arsq, config=config) + + return loss, {"Adj-R2": arsq, "MAPE": mape} \ No newline at end of file diff --git a/baselines/flanders/pyproject.toml b/baselines/flanders/pyproject.toml index da7189902715..85086e9ab976 100644 --- a/baselines/flanders/pyproject.toml +++ b/baselines/flanders/pyproject.toml @@ -39,7 +39,7 @@ classifiers = [ [tool.poetry.dependencies] python = ">=3.9, <3.12.0" # pandas requires >=3.9 hydra-core = "1.3.2" # don't change this -flwr = {extras = ["simulation"], version = "1.5.0" } +flwr = {extras = ["simulation"], version = "1.6.0" } torch = "^2.1.1" pandas = "^2.1.3" scikit-learn = "1.3.2" diff --git a/baselines/flanders/results/all_results.csv b/baselines/flanders/results/all_results.csv index 17f97fc5edd0..2ace99dd4102 100644 --- a/baselines/flanders/results/all_results.csv +++ b/baselines/flanders/results/all_results.csv @@ -8,3 +8,359 @@ round,auc,accuracy,loss 0,0.5070118697549717,0.1024,720.1501111984253 0,0.5053153492209119,0.1089,721.5759069919586 0,0.4998734219733104,0.098,721.5942440032959 +0,0.49062386064176555,0.0917,721.6308240890503 +0,0.4897563584716913,0.0781,721.1875138282776 +0,0.48982619012071354,0.0819,722.2348999977112 +0,0.5125316453431537,0.123,720.6952970027924 +0,0.49972346206353696,0.0959,719.9979829788208 +0,0.49453349396144936,0.0882,721.5500192642212 +0,0.49321086487582716,0.0794,721.3042736053467 +0,0.4962709966097023,0.0922,721.0505306720734 +1,0.4962709966097023,0.0922,721.0505306720734 +0,0.5002734910076846,0.1015,720.1409537792206 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+1,0.7587445007246718,0.8002661752661753,0.4889881884168371 +0,0.5,0.7537878787878788,0.6931471805599453 +1,0.7732289587511643,0.8038493038493039,0.4954948837523775 +2,0.6900174299603881,0.7971949221949222,0.5003186739198604 +3,0.7025569494943391,0.7971949221949222,0.5021972024308817 +0,1.0,-4.15491449176906,53809215955.77046 +1,0.3351093978439554,0.4660731307731474,5573358444.00331 +2,0.33147421816147843,0.46197719167484697,5616113619.056951 +3,0.3380753932976957,0.4509295120078676,5731434053.946777 From 41e667d826c48025d77ef1d147854b6d78d9e7ba Mon Sep 17 00:00:00 2001 From: edogab33 Date: Thu, 14 Dec 2023 21:12:55 +0100 Subject: [PATCH 14/91] Plotting --- baselines/flanders/flanders/client.py | 2 +- baselines/flanders/flanders/main.py | 47 +++--- baselines/flanders/flanders/server.py | 75 ++++++++++ baselines/flanders/flanders/strategy.py | 16 ++ baselines/flanders/plotting/plots.ipynb | 188 ++++++++++++++++++++++++ 5 files changed, 308 insertions(+), 20 deletions(-) create mode 100644 baselines/flanders/plotting/plots.ipynb diff --git a/baselines/flanders/flanders/client.py b/baselines/flanders/flanders/client.py index 37e695163d22..158d5eeba7a5 100644 --- a/baselines/flanders/flanders/client.py +++ b/baselines/flanders/flanders/client.py @@ -122,7 +122,7 @@ def evaluate(self, parameters, config): # Load data for this client and get trainloader num_workers = len(ray.worker.get_resource_ids()["CPU"]) - testloader = get_mnist("datasets", 32, self.cid, nb_clients=self.pool_size, is_train=False, workers=num_workers) + testloader = get_mnist("flanders/datasets_files", 32, self.cid, nb_clients=self.pool_size, is_train=False, workers=num_workers) # Send model to device self.net.to(self.device) diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 353077b79257..f6b18ac8b329 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -91,7 +91,6 @@ def main(cfg: DictConfig) -> None: shutil.rmtree(cfg.server.history_dir) attacks = { - "no_attack": no_attack, "gaussian_attack": gaussian_attack, "lie_attack": lie_attack, "fang_attack": fang_attack, @@ -133,6 +132,8 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = cfg.dataset.nam cid_idx = int(cid) if dataset_name == "cifar": return client(cid, fed_dir) + elif dataset_name == "mnist": + return client(cid, pool_size) elif dataset_name == "income": return client(cid, X_train[cid_idx], y_train[cid_idx], X_test[cid_idx], y_test[cid_idx]) elif dataset_name == "house": @@ -163,24 +164,32 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = cfg.dataset.nam # 5. Start Simulation # history = fl.simulation.start_simulation() - history = fl.simulation.start_simulation( - client_fn=client_fn, - client_resources={"num_cpus": 10}, - num_clients=cfg.server.pool_size, - server=EnhancedServer( - warmup_rounds=cfg.server.warmup_rounds, - num_malicious=cfg.server.num_malicious, - attack_fn=attacks[cfg.server.attack_fn], - magnitude=cfg.server.magnitude, - client_manager=SimpleClientManager(), - strategy=strategy, - sampling=cfg.server.sampling, - history_dir=cfg.server.history_dir, - dataset_name=cfg.dataset.name, - ), - config=fl.server.ServerConfig(num_rounds=cfg.server.num_rounds), - strategy=strategy - ) + for dataset_name in cfg.dataset.name: + for attack_fn in cfg.server.attack_fn: + for num_malicious in cfg.server.num_malicious: + # the experiment with num_malicious = 0 should be done only one time + if num_malicious == 0 and attack_fn != "gaussian_attack": + continue + history = fl.simulation.start_simulation( + client_fn=client_fn, + client_resources={"num_cpus": 10}, + num_clients=cfg.server.pool_size, + server=EnhancedServer( + warmup_rounds=cfg.server.warmup_rounds, + num_malicious=num_malicious, + attack_fn=attacks[attack_fn], + magnitude=cfg.server.magnitude, + client_manager=SimpleClientManager(), + strategy=strategy, + sampling=cfg.server.sampling, + history_dir=cfg.server.history_dir, + dataset_name=dataset_name + ), + config=fl.server.ServerConfig(num_rounds=cfg.server.num_rounds), + strategy=strategy + ) + + print(f"history: {history}") # 6. Save your results # Here you can save the `history` returned by the simulation and include diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index 9d343210028a..baa359a698e9 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -86,6 +86,81 @@ def __init__( self.old_lambda = 0.0 self.to_keep = to_keep + + # pylint: disable=too-many-locals + def fit(self, num_rounds: int, timeout: Optional[float]) -> History: + """Run federated averaging for a number of rounds.""" + history = History() + + # Initialize parameters + log(INFO, "Initializing global parameters") + self.parameters = self._get_initial_parameters(timeout=timeout) + log(INFO, "Evaluating initial parameters") + config = {"num_malicious": self.num_malicious, "attack_fn": self.attack_fn, "dataset_name": self.dataset_name} + res = self.strategy.evaluate(0, parameters=self.parameters, config=config) + if res is not None: + log( + INFO, + "initial parameters (loss, other metrics): %s, %s", + res[0], + res[1], + ) + history.add_loss_centralized(server_round=0, loss=res[0]) + history.add_metrics_centralized(server_round=0, metrics=res[1]) + + # Run federated learning for num_rounds + log(INFO, "FL starting") + start_time = timeit.default_timer() + + for current_round in range(1, num_rounds + 1): + # Train model and replace previous global model + res_fit = self.fit_round( + server_round=current_round, + timeout=timeout, + ) + if res_fit is not None: + parameters_prime, fit_metrics, _ = res_fit # fit_metrics_aggregated + if parameters_prime: + self.parameters = parameters_prime + history.add_metrics_distributed_fit( + server_round=current_round, metrics=fit_metrics + ) + + # Evaluate model using strategy implementation + res_cen = self.strategy.evaluate(current_round, parameters=self.parameters, config=config) + if res_cen is not None: + loss_cen, metrics_cen = res_cen + log( + INFO, + "fit progress: (%s, %s, %s, %s)", + current_round, + loss_cen, + metrics_cen, + timeit.default_timer() - start_time, + ) + history.add_loss_centralized(server_round=current_round, loss=loss_cen) + history.add_metrics_centralized( + server_round=current_round, metrics=metrics_cen + ) + + # Evaluate model on a sample of available clients + res_fed = self.evaluate_round(server_round=current_round, timeout=timeout) + if res_fed is not None: + loss_fed, evaluate_metrics_fed, _ = res_fed + if loss_fed is not None: + history.add_loss_distributed( + server_round=current_round, loss=loss_fed + ) + history.add_metrics_distributed( + server_round=current_round, metrics=evaluate_metrics_fed + ) + + # Bookkeeping + end_time = timeit.default_timer() + elapsed = end_time - start_time + log(INFO, "FL finished in %s", elapsed) + return history + def fit_round( self, diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index ba8ad6c5792c..7d131cb0fc57 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -18,6 +18,7 @@ Parameters, Scalar, FitIns, + parameters_to_ndarrays ) from flwr.server.client_proxy import ClientProxy @@ -192,6 +193,21 @@ def aggregate_fit( return parameters_aggregated, metrics_aggregated, malicious_clients_idx + + def evaluate( + self, server_round: int, parameters: Parameters, config: Dict[str, Scalar] + ) -> Optional[Tuple[float, Dict[str, Scalar]]]: + if self.evaluate_fn is None: + # No evaluation function provided + return None + + eval_res = self.evaluate_fn(server_round, parameters_to_ndarrays(parameters), config) + if eval_res is None: + return None + loss, metrics = eval_res + return loss, metrics + + def mar(X, pred_step, alpha=1, beta=1, maxiter=100, window=0): ''' Code provided by Xinyu Chen at: diff --git a/baselines/flanders/plotting/plots.ipynb b/baselines/flanders/plotting/plots.ipynb new file mode 100644 index 000000000000..d344b0481e09 --- /dev/null +++ b/baselines/flanders/plotting/plots.ipynb @@ -0,0 +1,188 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# import libraries\n", + "import numpy as np\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "\n", + "from matplotlib import pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 153, + "metadata": {}, + "outputs": [], + "source": [ + "def trim_attack_fn(df):\n", + " \"\"\"In column \"attack_fn\" of dataframe df, remove all\n", + " superfluous characters from the attack name, leaving only\n", + " the attack name itself.\n", + " \"\"\"\n", + " names = [\"gaussian_attack\", \"lie_attack\", \"fang_attack\", \"minmax_attack\"]\n", + " # remove superfluous characters from attack names in df\n", + " for name in names:\n", + " df.loc[df[\"attack_fn\"].str.contains(name), \"attack_fn\"] = name\n", + " names = {\"gaussian_attack\": \"GAUSS\", \"lie_attack\": \"LIE\", \"fang_attack\": \"OPT\", \"minmax_attack\": \"AGR-MM\"}\n", + " # rename attack names in df\n", + " for name in names:\n", + " df.loc[df[\"attack_fn\"].str.contains(name), \"attack_fn\"] = names[name]\n", + " return df\n", + "\n", + "def dataset_name_cleaner(df):\n", + " names = {\"mnist\": \"MNIST\", \"cifar\": \"CIFAR-10\", \"income\": \"Income\", \"house\": \"California Housing\"}\n", + " for name in names:\n", + " df.loc[df[\"dataset_name\"].str.contains(name), \"dataset_name\"] = names[name]\n", + " return df\n", + "\n", + "def get_max_acc(df):\n", + " \"\"\"Return the maximum accuracy achieved in each experiment.\n", + " \"\"\"\n", + " max_acc = df.sort_values(by='accuracy', ascending=False).groupby(['dataset_name', 'attack_fn', 'num_malicious']).first().reset_index()\n", + " return max_acc\n", + "\n", + "def add_missing_no_attacks(df):\n", + " \"\"\"To save time, I didn't run experiments with num_malicious = 0\n", + " for all datasets. This function adds those missing rows to the\n", + " dataframe.\n", + " \"\"\"\n", + " df_lie = df.loc[df[\"num_malicious\"] == 0].assign(attack_fn=\"LIE\", ignore_index=True)\n", + " df_opt = df.loc[df[\"num_malicious\"] == 0].assign(attack_fn=\"OPT\", ignore_index=True)\n", + " df_agr = df.loc[df[\"num_malicious\"] == 0].assign(attack_fn=\"AGR-MM\", ignore_index=True)\n", + " df = pd.concat([df, df_lie, df_opt, df_agr], ignore_index=True)\n", + " return df\n", + "\n", + "def compute_mape(x):\n", + " \"\"\"Flip MAPE values (i.e. 1 - MAPE) for the sake of representation.\n", + " \"\"\"\n", + " if x['dataset_name'] == 'California Housing':\n", + " return 1 - x['auc']\n", + " return x['auc']" + ] + }, + { + "cell_type": "code", + "execution_count": 156, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv('../results/all_results.csv')\n", + "\n", + "df = trim_attack_fn(df)\n", + "df = dataset_name_cleaner(df)\n", + "df.auc = df.apply(compute_mape, axis=1)\n", + "# Swap auc (i.e. MAPE) column name with accuracy only for California Housing\n", + "df = df.rename(columns={\"auc\": \"accuracy\", \"accuracy\": \"auc\"})\n", + "df = df.drop(columns=[\"auc\", \"loss\"])\n", + "df = get_max_acc(df)\n", + "df = add_missing_no_attacks(df)" + ] + }, + { + "cell_type": "code", + "execution_count": 155, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Global settings\n", + "sns.set_theme()\n", + "sns.set_context(\"paper\", font_scale=1.5)\n", + "\n", + "dataset_names = [\"MNIST\", \"CIFAR-10\", \"Income\", \"California Housing\"]\n", + "attack_names = [\"GAUSS\", \"LIE\", \"OPT\", \"AGR-MM\"]\n", + "\n", + "fig, axes = plt.subplots(1, 4, sharex=False, sharey=False, figsize=(30, 5))\n", + "\n", + "for i in range(len(dataset_names)):\n", + " p = df.loc[df.dataset_name == dataset_names[i]]\n", + " ax = sns.lineplot(data=p, x='num_malicious', y='accuracy', hue=\"attack_fn\", ax=axes[i], \n", + " style=\"attack_fn\", markers=True, dashes=False, lw=2, markersize=12)\n", + " \n", + " _ = ax.tick_params(axis='both', which='major', labelsize=16)\n", + " \n", + " _ = ax.set_xlim([0,9])\n", + "\n", + " if i == 3:\n", + " handles, lables = ax.get_legend_handles_labels()\n", + " for h in handles:\n", + " h.set_markersize(12)\n", + " h.set_linewidth(2)\n", + "\n", + " # replace legend using handles and labels from above\n", + " _ = ax.legend(handles,\n", + " attack_names, \n", + " title=\"Attacks\",\n", + " title_fontsize=20,\n", + " fontsize=18, \n", + " loc='upper center', \n", + " bbox_to_anchor=(-1.7, 1.3), \n", + " ncol=4, \n", + " fancybox=True, \n", + " shadow=True)\n", + " else:\n", + " _ = ax.get_legend().remove() \n", + "\n", + "_ = axes[0].set_ylabel('Accuracy', labelpad=14, fontsize=18)\n", + "_ = axes[1].set_ylabel('1-MAPE', labelpad=14, fontsize=18)\n", + "_ = axes[2].set_ylabel('Accuracy', labelpad=14, fontsize=18)\n", + "_ = axes[3].set_ylabel('Accuracy', labelpad=14, fontsize=18)\n", + "_ = axes[0].set_xlabel('Byzantine Clients (%)', labelpad=14, fontsize=18)\n", + "_ = axes[1].set_xlabel('Byzantine Clients (%)', labelpad=14, fontsize=18)\n", + "_ = axes[2].set_xlabel('Byzantine Clients (%)', labelpad=14, fontsize=18)\n", + "_ = axes[3].set_xlabel('Byzantine Clients (%)', labelpad=14, fontsize=18)\n", + "\n", + "plt.figtext(0.15,-0.1, \"Income\", ha=\"center\", va=\"top\", fontsize=24)\n", + "plt.figtext(0.4,-0.1, \"MNIST\", ha=\"center\", va=\"top\", fontsize=24)\n", + "plt.figtext(0.65,-0.1, \"CIFAR-10\", ha=\"center\", va=\"top\", fontsize=24)\n", + "plt.figtext(0.87,-0.1, \"California Housing\", ha=\"center\", va=\"top\", fontsize=24)\n", + "\n", + "plt.subplots_adjust(wspace=0.5)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "flwr-9UXVJBh8-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From cfe107d4789bfb5ca3ef889d421db27f0c55dbbc Mon Sep 17 00:00:00 2001 From: edogab33 Date: Mon, 18 Dec 2023 18:46:00 +0100 Subject: [PATCH 15/91] Fix some issues, results, plots --- baselines/flanders/flanders/attacks.py | 8 +- baselines/flanders/flanders/conf/base.yaml | 39 +- baselines/flanders/flanders/main.py | 126 +- baselines/flanders/flanders/server.py | 17 +- baselines/flanders/flanders/strategy.py | 17 +- baselines/flanders/plotting/plots.ipynb | 255 +- baselines/flanders/results/all_results.csv | 4090 ++++++++++++++++++-- 7 files changed, 4047 insertions(+), 505 deletions(-) diff --git a/baselines/flanders/flanders/attacks.py b/baselines/flanders/flanders/attacks.py index 2a33847b0c25..e4b35259018f 100644 --- a/baselines/flanders/flanders/attacks.py +++ b/baselines/flanders/flanders/attacks.py @@ -59,9 +59,10 @@ def lie_attack( n = len(ordered_results) # number of clients m = sum(val == True for val in states.values()) # number of corrupted clients s = math.floor((n / 2) + 1) - m # number of supporters - if s < 0: - s = 1 - z_max = norm.ppf((n - m - s) / (n - m)) + + z_max = norm.cdf((n - m - s) / (n - m)) + print(f"z_max: {z_max}") + print(f"n: {n}, m: {m}, s: {s}") for proxy, fitres in ordered_results: if states[fitres.metrics["cid"]]: @@ -106,6 +107,7 @@ def fang_attack( # to avoid division by 0 c = 2 + print(f"old_lambda: {old_lambda}") # lambda initialization if old_lambda == 0: benign = [ diff --git a/baselines/flanders/flanders/conf/base.yaml b/baselines/flanders/flanders/conf/base.yaml index a25953870805..fbe18079a9e1 100644 --- a/baselines/flanders/flanders/conf/base.yaml +++ b/baselines/flanders/flanders/conf/base.yaml @@ -13,26 +13,37 @@ hydra: dir: . dataset: - # dataset config - name: house - -model: - # model config - _target_: flanders.models.MnistNet + name: + #- income + #- house + - mnist + #- cifar strategy: _target_: flanders.strategy.Flanders server: _target_: flanders.server.EnhancedServer - num_rounds: 3 - pool_size: 3 - num_malicious: 1 - warmup_rounds: 1 + num_rounds: 50 + pool_size: 10 + num_malicious: + #- 0 + - 1 + - 2 + - 3 + - 4 + - 5 + - 6 + - 7 + - 8 + - 9 + warmup_rounds: 30 sampling: 500 history_dir: clients_params magnitude: 100 - attack_fn: minmax_attack - -client: - # client config \ No newline at end of file + attack_fn: + #- gaussian_attack + #- lie_attack + - fang_attack + - minmax_attack + threshold: 1e-05 \ No newline at end of file diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index f6b18ac8b329..a2ea8edf9be5 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -83,13 +83,6 @@ def main(cfg: DictConfig) -> None: # 1. Print parsed config print(OmegaConf.to_yaml(cfg)) - print(cfg.dataset.name) - print(cfg.server.pool_size) - - # Delete old client_params and clients_predicted_params - if os.path.exists(cfg.server.history_dir): - shutil.rmtree(cfg.server.history_dir) - attacks = { "gaussian_attack": gaussian_attack, "lie_attack": lie_attack, @@ -104,72 +97,68 @@ def main(cfg: DictConfig) -> None: "income": (IncomeClient, income_evaluate) } - evaluate_fn = clients[cfg.dataset.name][1] - - # 2. Prepare your dataset - # here you should call a function in datasets.py that returns whatever is needed to: - # (1) ensure the server can access the dataset used to evaluate your model after - # aggregation - # (2) tell each client what dataset partitions they should use (e.g. a this could - # be a location in the file system, a list of dataloader, a list of ids to extract - # from a dataset, it's up to you) - if cfg.dataset.name == "cifar": - train_path, testset = get_cifar_10() - fed_dir = do_fl_partitioning( - train_path, pool_size=cfg.server.pool_size, alpha=10000, num_classes=10, val_ratio=0.5, seed=1234 - ) - elif cfg.dataset.name == "income": - X_train, X_test, y_train, y_test = get_partitioned_income("flanders/datasets_files/adult.csv", cfg.server.pool_size) - elif cfg.dataset.name == "house": - X_train, X_test, y_train, y_test = get_partitioned_house("flanders/datasets_files/houses_preprocessed.csv", cfg.server.pool_size) - - # 3. Define your clients - # Define a function that returns another function that will be used during - # simulation to instantiate each individual client - # client_fn = client.() - def client_fn(cid: str, pool_size: int = 10, dataset_name: str = cfg.dataset.name): - client = clients[dataset_name][0] - cid_idx = int(cid) - if dataset_name == "cifar": - return client(cid, fed_dir) - elif dataset_name == "mnist": - return client(cid, pool_size) - elif dataset_name == "income": - return client(cid, X_train[cid_idx], y_train[cid_idx], X_test[cid_idx], y_test[cid_idx]) - elif dataset_name == "house": - return client(cid, X_train[cid_idx], y_train[cid_idx], X_test[cid_idx], y_test[cid_idx]) - else: - raise ValueError("Dataset not supported") - - - # 4. Define your strategy - # pass all relevant argument (including the global dataset used after aggregation, - # if needed by your method.) - # strategy = instantiate(cfg.strategy, ) - strategy = instantiate( - cfg.strategy, - evaluate_fn=evaluate_fn, - on_fit_config_fn=fit_config, - fraction_fit=1, - fraction_evaluate=0, - min_fit_clients=2, - min_evaluate_clients=0, - warmup_rounds=2, - to_keep=1, - min_available_clients=2, - window=2, - sampling=1, - distance_function=l2_norm - ) - - # 5. Start Simulation - # history = fl.simulation.start_simulation() for dataset_name in cfg.dataset.name: for attack_fn in cfg.server.attack_fn: for num_malicious in cfg.server.num_malicious: # the experiment with num_malicious = 0 should be done only one time if num_malicious == 0 and attack_fn != "gaussian_attack": continue + + if attack_fn == "fang_attack" and num_malicious == 1: + continue + + # Delete old client_params and clients_predicted_params + if os.path.exists(cfg.server.history_dir): + shutil.rmtree(cfg.server.history_dir) + + # 2. Prepare your dataset + sampling = cfg.server.sampling + if dataset_name == "cifar": + train_path, testset = get_cifar_10() + fed_dir = do_fl_partitioning( + train_path, pool_size=cfg.server.pool_size, alpha=10000, num_classes=10, val_ratio=0.5, seed=1234 + ) + elif dataset_name == "income": + sampling = 0 + X_train, X_test, y_train, y_test = get_partitioned_income("flanders/datasets_files/adult.csv", cfg.server.pool_size) + elif dataset_name == "house": + sampling = 0 + X_train, X_test, y_train, y_test = get_partitioned_house("flanders/datasets_files/houses_preprocessed.csv", cfg.server.pool_size) + + + # 3. Define your clients + def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): + client = clients[dataset_name][0] + cid_idx = int(cid) + if dataset_name == "cifar": + return client(cid, fed_dir) + elif dataset_name == "mnist": + return client(cid, pool_size) + elif dataset_name == "income": + return client(cid, X_train[cid_idx], y_train[cid_idx], X_test[cid_idx], y_test[cid_idx]) + elif dataset_name == "house": + return client(cid, X_train[cid_idx], y_train[cid_idx], X_test[cid_idx], y_test[cid_idx]) + else: + raise ValueError("Dataset not supported") + + # 4. Define your strategy + strategy = instantiate( + cfg.strategy, + evaluate_fn = clients[dataset_name][1], + on_fit_config_fn=fit_config, + fraction_fit=1, + fraction_evaluate=0, + min_fit_clients=cfg.server.pool_size, + min_evaluate_clients=0, + warmup_rounds=cfg.server.warmup_rounds, + to_keep=1, + min_available_clients=cfg.server.pool_size, + window=cfg.server.warmup_rounds, + distance_function=l2_norm, + maxiter=50 + ) + + # 5. Start Simulation history = fl.simulation.start_simulation( client_fn=client_fn, client_resources={"num_cpus": 10}, @@ -183,7 +172,8 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = cfg.dataset.nam strategy=strategy, sampling=cfg.server.sampling, history_dir=cfg.server.history_dir, - dataset_name=dataset_name + dataset_name=dataset_name, + threshold=cfg.server.threshold, ), config=fl.server.ServerConfig(num_rounds=cfg.server.num_rounds), strategy=strategy diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index baa359a698e9..936f21190f31 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -193,18 +193,18 @@ def fit_round( if self.warmup_rounds > server_round: size = 0 print(f"fit_round - Selecting {size} malicious clients") - self.malicious_selected = np.random.choice( + self.malicious_lst = np.random.choice( [proxy.cid for proxy, _ in client_instructions], size=size, replace=False ) log( DEBUG, "fit_round %s: malicious clients selected %s", server_round, - self.malicious_selected, + self.malicious_lst, ) # Save instruction for malicious clients into FitIns for proxy, ins in client_instructions: - if proxy.cid in self.malicious_selected: + if proxy.cid in self.malicious_lst: ins.config["malicious"] = True else: ins.config["malicious"] = False @@ -289,8 +289,17 @@ def fit_round( print("fit_round - Aggregating training results") aggregated_result = self.strategy.aggregate_fit(server_round, results, failures, clients_state) - parameters_aggregated, metrics_aggregated, malicious_clients_idx = aggregated_result + parameters_aggregated, metrics_aggregated, good_clients_idx, malicious_clients_idx = aggregated_result print(f"fit_round - Malicious clients: {malicious_clients_idx}") + + print(f"aggregate_fit - clients_state: {clients_state}") + for idx in good_clients_idx: + if clients_state[str(idx)]: + self.malicious_selected = True + break + else: + self.malicious_selected = False + # For clients detected as malicious, set their parameters to be the averaged ones in their files # otherwise the forecasting in next round won't be reliable if self.warmup_rounds > server_round: diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index 7d131cb0fc57..1f89e015fc09 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -56,13 +56,10 @@ def __init__( fit_metrics_aggregation_fn: Optional[MetricsAggregationFn] = None, evaluate_metrics_aggregation_fn: Optional[MetricsAggregationFn] = None, dataset_name: str = "mnist", - attack_name: str = "not specified", - iid: bool = True, warmup_rounds: int = 1, to_keep: int = 1, window: int = 0, maxiter: int = 100, - sampling: str = None, alpha: float = 1, beta: float = 1, distance_function: Callable = None, @@ -89,13 +86,10 @@ def __init__( evaluate_metrics_aggregation_fn = evaluate_metrics_aggregation_fn ) self.dataset_name = dataset_name - self.attack_name = attack_name - self.iid = iid self.warmup_rounds = warmup_rounds self.to_keep = to_keep self.window = window self.maxiter = maxiter - self.sampling = sampling self.alpha = alpha self.beta = beta self.params_indexes = None @@ -153,6 +147,7 @@ def aggregate_fit( malicious_clients_idx: List[int] List of malicious clients' cids (indexes). """ + good_clients_idx = [] malicious_clients_idx = [] if server_round > 1: win = self.window @@ -176,14 +171,6 @@ def aggregate_fit( results = np.array(results)[good_clients_idx].tolist() print(f"aggregate_fit - Good clients: {good_clients_idx}") - print(f"aggregate_fit - clients_state: {clients_state}") - for idx in good_clients_idx: - if clients_state[str(idx)]: - self.malicious_selected = True - break - else: - self.malicious_selected = False - # Apply FedAvg for the remaining clients print("aggregate_fit - Applying FedAvg for the remaining clients") parameters_aggregated, metrics_aggregated = super().aggregate_fit(server_round, results, failures) @@ -191,7 +178,7 @@ def aggregate_fit( # Apply FedAvg on every clients' params during the first round parameters_aggregated, metrics_aggregated = super().aggregate_fit(server_round, results, failures) - return parameters_aggregated, metrics_aggregated, malicious_clients_idx + return parameters_aggregated, metrics_aggregated, good_clients_idx, malicious_clients_idx def evaluate( diff --git a/baselines/flanders/plotting/plots.ipynb b/baselines/flanders/plotting/plots.ipynb index d344b0481e09..2bdb04e21c0c 100644 --- a/baselines/flanders/plotting/plots.ipynb +++ b/baselines/flanders/plotting/plots.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 3, + "execution_count": 166, "metadata": {}, "outputs": [], "source": [ @@ -16,7 +16,7 @@ }, { "cell_type": "code", - "execution_count": 153, + "execution_count": 182, "metadata": {}, "outputs": [], "source": [ @@ -41,9 +41,10 @@ " df.loc[df[\"dataset_name\"].str.contains(name), \"dataset_name\"] = names[name]\n", " return df\n", "\n", - "def get_max_acc(df):\n", - " \"\"\"Return the maximum accuracy achieved in each experiment.\n", + "def get_max_acc(df, L=30):\n", + " \"\"\"Return the maximum accuracy achieved in each experiment after L rounds (i.e. bootstrap rounds).\n", " \"\"\"\n", + " df = df.loc[df[\"round\"] == L]\n", " max_acc = df.sort_values(by='accuracy', ascending=False).groupby(['dataset_name', 'attack_fn', 'num_malicious']).first().reset_index()\n", " return max_acc\n", "\n", @@ -66,34 +67,231 @@ " return x['auc']" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Maximum Accuracy" + ] + }, { "cell_type": "code", - "execution_count": 156, + "execution_count": 183, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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dataset_nameattack_fnnum_maliciousroundaucaccuracylossignore_index
0IncomeAGR-MM2300.7377020.7959660.487117NaN
1IncomeAGR-MM3300.6989630.7860360.507417NaN
2IncomeAGR-MM4300.7583520.7941240.480669NaN
3IncomeAGR-MM5300.7288330.7765150.499840NaN
4IncomeAGR-MM6300.7895400.8016990.473770NaN
...........................
74MNISTLIE0300.9694220.94550061.264663True
75IncomeOPT0300.7551960.7932020.489739True
76MNISTOPT0300.9694220.94550061.264663True
77IncomeAGR-MM0300.7551960.7932020.489739True
78MNISTAGR-MM0300.9694220.94550061.264663True
\n", + "

79 rows × 8 columns

\n", + "
" + ], + "text/plain": [ + " dataset_name attack_fn num_malicious round auc accuracy \\\n", + "0 Income AGR-MM 2 30 0.737702 0.795966 \n", + "1 Income AGR-MM 3 30 0.698963 0.786036 \n", + "2 Income AGR-MM 4 30 0.758352 0.794124 \n", + "3 Income AGR-MM 5 30 0.728833 0.776515 \n", + "4 Income AGR-MM 6 30 0.789540 0.801699 \n", + ".. ... ... ... ... ... ... \n", + "74 MNIST LIE 0 30 0.969422 0.945500 \n", + "75 Income OPT 0 30 0.755196 0.793202 \n", + "76 MNIST OPT 0 30 0.969422 0.945500 \n", + "77 Income AGR-MM 0 30 0.755196 0.793202 \n", + "78 MNIST AGR-MM 0 30 0.969422 0.945500 \n", + "\n", + " loss ignore_index \n", + "0 0.487117 NaN \n", + "1 0.507417 NaN \n", + "2 0.480669 NaN \n", + "3 0.499840 NaN \n", + "4 0.473770 NaN \n", + ".. ... ... \n", + "74 61.264663 True \n", + "75 0.489739 True \n", + "76 61.264663 True \n", + "77 0.489739 True \n", + "78 61.264663 True \n", + "\n", + "[79 rows x 8 columns]" + ] + }, + "execution_count": 183, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "df = pd.read_csv('../results/all_results.csv')\n", "\n", "df = trim_attack_fn(df)\n", "df = dataset_name_cleaner(df)\n", - "df.auc = df.apply(compute_mape, axis=1)\n", - "# Swap auc (i.e. MAPE) column name with accuracy only for California Housing\n", - "df = df.rename(columns={\"auc\": \"accuracy\", \"accuracy\": \"auc\"})\n", - "df = df.drop(columns=[\"auc\", \"loss\"])\n", "df = get_max_acc(df)\n", - "df = add_missing_no_attacks(df)" + "df = add_missing_no_attacks(df)\n", + "df" ] }, { "cell_type": "code", - "execution_count": 155, + "execution_count": 209, "metadata": {}, "outputs": [ { "data": { - "image/png": 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"text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -105,10 +303,10 @@ "sns.set_theme()\n", "sns.set_context(\"paper\", font_scale=1.5)\n", "\n", - "dataset_names = [\"MNIST\", \"CIFAR-10\", \"Income\", \"California Housing\"]\n", + "dataset_names = [\"Income\", \"MNIST\"]\n", "attack_names = [\"GAUSS\", \"LIE\", \"OPT\", \"AGR-MM\"]\n", "\n", - "fig, axes = plt.subplots(1, 4, sharex=False, sharey=False, figsize=(30, 5))\n", + "fig, axes = plt.subplots(1, 2, sharex=False, sharey=False, figsize=(30, 5))\n", "\n", "for i in range(len(dataset_names)):\n", " p = df.loc[df.dataset_name == dataset_names[i]]\n", @@ -116,10 +314,10 @@ " style=\"attack_fn\", markers=True, dashes=False, lw=2, markersize=12)\n", " \n", " _ = ax.tick_params(axis='both', which='major', labelsize=16)\n", - " \n", " _ = ax.set_xlim([0,9])\n", + " _ = ax.set_ylim([0,1])\n", "\n", - " if i == 3:\n", + " if i == 1:\n", " handles, lables = ax.get_legend_handles_labels()\n", " for h in handles:\n", " h.set_markersize(12)\n", @@ -132,7 +330,7 @@ " title_fontsize=20,\n", " fontsize=18, \n", " loc='upper center', \n", - " bbox_to_anchor=(-1.7, 1.3), \n", + " bbox_to_anchor=(-0.25, 1.45), \n", " ncol=4, \n", " fancybox=True, \n", " shadow=True)\n", @@ -140,28 +338,15 @@ " _ = ax.get_legend().remove() \n", "\n", "_ = axes[0].set_ylabel('Accuracy', labelpad=14, fontsize=18)\n", - "_ = axes[1].set_ylabel('1-MAPE', labelpad=14, fontsize=18)\n", - "_ = axes[2].set_ylabel('Accuracy', labelpad=14, fontsize=18)\n", - "_ = axes[3].set_ylabel('Accuracy', labelpad=14, fontsize=18)\n", + "_ = axes[1].set_ylabel('Accuracy', labelpad=14, fontsize=18)\n", "_ = axes[0].set_xlabel('Byzantine Clients (%)', labelpad=14, fontsize=18)\n", "_ = axes[1].set_xlabel('Byzantine Clients (%)', labelpad=14, fontsize=18)\n", - "_ = axes[2].set_xlabel('Byzantine Clients (%)', labelpad=14, fontsize=18)\n", - "_ = axes[3].set_xlabel('Byzantine Clients (%)', labelpad=14, fontsize=18)\n", "\n", - "plt.figtext(0.15,-0.1, \"Income\", ha=\"center\", va=\"top\", fontsize=24)\n", - "plt.figtext(0.4,-0.1, \"MNIST\", ha=\"center\", va=\"top\", fontsize=24)\n", - "plt.figtext(0.65,-0.1, \"CIFAR-10\", ha=\"center\", va=\"top\", fontsize=24)\n", - "plt.figtext(0.87,-0.1, \"California Housing\", ha=\"center\", va=\"top\", fontsize=24)\n", + "plt.figtext(0.28,1, \"Income\", ha=\"center\", va=\"top\", fontsize=24)\n", + "plt.figtext(0.75,1, \"MNIST\", ha=\"center\", va=\"top\", fontsize=24)\n", "\n", "plt.subplots_adjust(wspace=0.5)" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/baselines/flanders/results/all_results.csv b/baselines/flanders/results/all_results.csv index 2ace99dd4102..90931b8ef51b 100644 --- a/baselines/flanders/results/all_results.csv +++ b/baselines/flanders/results/all_results.csv @@ -1,366 +1,3724 @@ -round,auc,accuracy,loss -0,0.46964516899616104,0.0442,721.8714995384216 -0,0.491341331757505,0.0895,721.0930316448212 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+9,,mnist,38,0.945947894555496,0.9046,105.31958829425275 +9,,mnist,39,0.9575660185156376,0.9248,84.21829264704138 +9,,mnist,40,0.8478069122013757,0.7275,327.74268251657486 +9,,mnist,41,0.9249282732708671,0.8661,177.49262189865112 +9,,mnist,42,0.9331326014855043,0.8806,141.66250956058502 +9,,mnist,43,0.7710040293706085,0.5909,420.93100494146347 +9,,mnist,44,0.8607580469728676,0.7504,275.9977759420872 +9,,mnist,45,0.8962824728198994,0.8152,200.22490030527115 +9,,mnist,46,0.9128591939132807,0.8455,160.55302618443966 +9,,mnist,47,0.7296020087987937,0.5159,450.77322256565094 +9,,mnist,48,0.8408576668172365,0.7179,279.2310344874859 +9,,mnist,49,0.8576471609512788,0.7467,245.46242344379425 +9,,mnist,50,0.8967584596327782,0.8154,193.52280868589878 From ffa9eafa329d485a8b39a375f24b1bd28ad33f2f Mon Sep 17 00:00:00 2001 From: edogab33 Date: Mon, 18 Dec 2023 18:48:11 +0100 Subject: [PATCH 16/91] Fix configuration --- baselines/flanders/flanders/conf/base.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/baselines/flanders/flanders/conf/base.yaml b/baselines/flanders/flanders/conf/base.yaml index fbe18079a9e1..96554699e456 100644 --- a/baselines/flanders/flanders/conf/base.yaml +++ b/baselines/flanders/flanders/conf/base.yaml @@ -14,7 +14,7 @@ hydra: dataset: name: - #- income + - income #- house - mnist #- cifar @@ -27,7 +27,7 @@ server: num_rounds: 50 pool_size: 10 num_malicious: - #- 0 + - 0 - 1 - 2 - 3 @@ -42,8 +42,8 @@ server: history_dir: clients_params magnitude: 100 attack_fn: - #- gaussian_attack - #- lie_attack + - gaussian_attack + - lie_attack - fang_attack - minmax_attack threshold: 1e-05 \ No newline at end of file From 3cd1873d1a3f775d151bf37b6124b08f8069638e Mon Sep 17 00:00:00 2001 From: edogab33 Date: Tue, 19 Dec 2023 17:58:54 +0100 Subject: [PATCH 17/91] Add final plots, code and README --- baselines/flanders/README.md | 79 ++--- baselines/flanders/_static/boxplot_Income.jpg | Bin 0 -> 15841 bytes baselines/flanders/_static/boxplot_MNIST.jpg | Bin 0 -> 16059 bytes baselines/flanders/_static/max_acc.jpg | Bin 0 -> 44610 bytes baselines/flanders/flanders/attacks.py | 34 ++- baselines/flanders/flanders/client.py | 3 +- baselines/flanders/flanders/conf/base.yaml | 5 +- baselines/flanders/flanders/main.py | 49 +--- baselines/flanders/flanders/server.py | 21 +- baselines/flanders/flanders/strategy.py | 8 +- baselines/flanders/plotting/plots.ipynb | 271 +++++++++++++++++- baselines/flanders/pyproject.toml | 1 + baselines/flanders/results/all_results.csv | 2 +- 13 files changed, 345 insertions(+), 128 deletions(-) create mode 100644 baselines/flanders/_static/boxplot_Income.jpg create mode 100644 baselines/flanders/_static/boxplot_MNIST.jpg create mode 100644 baselines/flanders/_static/max_acc.jpg diff --git a/baselines/flanders/README.md b/baselines/flanders/README.md index a0ab3db89a94..bd4471026c32 100644 --- a/baselines/flanders/README.md +++ b/baselines/flanders/README.md @@ -1,20 +1,10 @@ --- title: A Byzantine-Resilient Aggregation Scheme for Federated Learning via Matrix Autoregression on Client Updates url: https://arxiv.org/abs/2303.16668 -labels: [robustness, cross-silo, model poisoning, anomaly detection, autoregressive model] # please add between 4 and 10 single-word (maybe two-words) labels (e.g. "system heterogeneity", "image classification", "asynchronous", "weight sharing", "cross-silo") +labels: [robustness, model poisoning, anomaly detection, autoregressive model] # please add between 4 and 10 single-word (maybe two-words) labels (e.g. "system heterogeneity", "image classification", "asynchronous", "weight sharing", "cross-silo") dataset: [MNIST, Income, California Housing] # list of datasets you include in your baseline --- -# :warning:*_Title of your baseline_* - -> Note: If you use this baseline in your work, please remember to cite the original authors of the paper as well as the Flower paper. - -> :warning: This is the template to follow when creating a new Flower Baseline. Please follow the instructions in `EXTENDED_README.md` - -> :warning: Please follow the instructions carefully. You can see the [FedProx-MNIST baseline](https://github.com/adap/flower/tree/main/baselines/fedprox) as an example of a baseline that followed this guide. - -> :warning: Please complete the metadata section at the very top of this README. This generates a table at the top of the file that will facilitate indexing baselines. - ****Paper:**** https://arxiv.org/abs/2303.16668 ****Authors:**** Gabriele Tolomei, Edoardo Gabrielli, Dimitri Belli, Vittorio Miori @@ -24,9 +14,9 @@ dataset: [MNIST, Income, California Housing] # list of datasets you include in y ## About this baseline -****What’s implemented:**** :warning: *_Concisely describe what experiment(s) in the publication can be replicated by running the code. Please only use a few sentences. Start with: “The code in this directory …”_* +****What’s implemented:**** The code in this directory replicates the results on MNIST and Income datasets under all attack settings (Gaussian, LIE, OPT and AGR-MM), but I've also implemented the code for California Housing and CIFAR-10. -****Datasets:**** MNIST, Income, California Housing +****Datasets:**** MNIST, Income ****Hardware Setup:**** Apple M2 Pro, 16gb RAM @@ -50,10 +40,6 @@ MNIST (multilabel classification, fully connected, feed forward NN): - hidden layer 1: 128 - hidden layer 2: 256 -California Housing (linear regression): -- cyclic coordinate descent (CCD) -- L1/L2-regularized mean squared error (LASSO/RIDGE) - ****Dataset:**** Every dataset is partitioned into two disjoint sets: 80% for training and 20% for testing. The training set is distributed uniformly across all clients (100), while the testing set is held by the server to evaluate the global model. @@ -66,54 +52,51 @@ California Housing (linear regression): ****Training Hyperparameters:**** -| Dataset | # of clients | Clients per round | # of rounds | Batch size | Learning rate | $\lambda_1$ | $\lambda_2$ | Optimizer | Dropout | Alpha | Beta | # of clients to keep | Sampling | -| -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -| Income | 100 | 100 | 50 | \ | \ | 1.0 | 0.0 | CCD | \ | 0.0 | 0.0 | 1 | \ | -| MNIST | 100 | 100 | 50 | 32 | $10^{-3}$ | \ | \ | Adam | 0.2 | 0.0 | 0.0 | 1 | \ | -| California Housing | 100 | 100 | 50 | \ | \ | 0.5 | 0.5 | CCD | \ | 0.0 | 0.0 | 1 | \ | +| Dataset | # of clients | Clients per round | # of rounds | $L$ | Batch size | Learning rate | $\lambda_1$ | $\lambda_2$ | Optimizer | Dropout | Alpha | Beta | # of clients to keep | Sampling | +| -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | +| Income | 10 | 100 | 50 | 30 | \ | \ | 1.0 | 0.0 | CCD | \ | 0.0 | 0.0 | 1 | \ | +| MNIST | 10 | 100 | 50 | 30 | 32 | $10^{-3}$ | \ | \ | Adam | 0.2 | 0.0 | 0.0 | 1 | \ | -Where $\lambda_1$ and $\lambda_2$ are Lasso and Ridge regularization terms. +Where $\lambda_1$ and $\lambda_2$ are Lasso and Ridge regularization terms, $L$ is the number of warmup rounds (rounds without any attack) and the number of malicious clients ranges from 0 to 9. -TODO: Might add CIFAR-10. ## Environment Setup -:warning: _The Python environment for all baselines should follow these guidelines in the `EXTENDED_README`. Specify the steps to create and activate your environment. If there are any external system-wide requirements, please include instructions for them too. These instructions should be comprehensive enough so anyone can run them (if non standard, describe them step-by-step)._ +```bash +# Use a version of Python >=3.9 and <3.12.0. +poetry env use 3.9.18 +# Install everything from the toml +poetry install -## Running the Experiments +# Activate the env +poetry shell -:warning: _Provide instructions on the steps to follow to run all the experiments._ -```bash -# The main experiment implemented in your baseline using default hyperparameters (that should be setup in the Hydra configs) should run (including dataset download and necessary partitioning) by executing the command: +# Manually install natsort +pip install natsort +``` -poetry run python -m .main # where is the name of this directory and that of the only sub-directory in this directory (i.e. where all your source code is) -# If you are using a dataset that requires a complicated download (i.e. not using one natively supported by TF/PyTorch) + preprocessing logic, you might want to tell people to run one script first that will do all that. Please ensure the download + preprocessing can be configured to suit (at least!) a different download directory (and use as default the current directory). The expected command to run to do this is: +## Running the Experiments +Ensure that the environment is properly set up, then run: -poetry run python -m .dataset_preparation +```bash +python -m flanders.main +``` -# It is expected that you baseline supports more than one dataset and different FL settings (e.g. different number of clients, dataset partitioning methods, etc). Please provide a list of commands showing how these experiments are run. Include also a short explanation of what each one does. Here it is expected you'll be using the Hydra syntax to override the default config. +This will run the entire batch of experiments with all the settings specified in `conf/base.yaml`. You can change them if you want to run single experiments. -poetry run python -m .main -. -. -. -poetry run python -m .main -``` +Note that also CIFAR-10 and California Housing are implemented. ## Expected Results -:warning: _Your baseline implementation should replicate several of the experiments in the original paper. Please include here the exact command(s) needed to run each of those experiments followed by a figure (e.g. a line plot) or table showing the results you obtained when you ran the code. Below is an example of how you can present this. Please add command followed by results for all your experiments._ +By running the above command, it will generate the results in `results/all_results.csv`. To generate the plots, use the notebook in `plotting/plots.ipynb`. -```bash -# it is likely that for one experiment you need to sweep over different hyperparameters. You are encouraged to use Hydra's multirun functionality for this. This is an example of how you could achieve this for some typical FL hyperparameteres +Expected maximum accuracy achieved across different number of malicious clients and different attacks: +![](_static/max_acc.jpg) -poetry run python -m .main --multirun num_client_per_round=5,10,50 dataset=femnist,cifar10 -# the above command will run a total of 6 individual experiments (because 3client_configs x 2datasets = 6 -- you can think of it as a grid). +Expected distribution of accuracy from round $L$ to the final round across all the experiments: +![](_static/boxplot_Income.jpg) -[Now show a figure/table displaying the results of the above command] - -# add more commands + plots for additional experiments. -``` +![](_static/boxplot_MNIST.jpg) \ No newline at end of file diff --git a/baselines/flanders/_static/boxplot_Income.jpg b/baselines/flanders/_static/boxplot_Income.jpg new file mode 100644 index 0000000000000000000000000000000000000000..4b0621412ed2de4e81dd3a997fbd0c846e8f80a7 GIT 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zMV*XLC%faOV4#R6^z~*=T;JmR``S{yW2ScC`>)Lh8jKf|))cFS7g0nTDM$vmF;~T9 z2@46JuRMmwh3ns%;A?h$0$dssd@MbS5|eH)Eh{KH`pRs6V(Y`$Xq3AIk%8p{;+lv8 zAWma~e<(*Y{s2t<%``buVliZEb^Wpxm%;U^M+BHHO>-^XkLC+)x-m-9`9hnO1RjTW z49mYjF0()1HPA{b-CDblcN^f-SeSif&-`wwo~8|7B8~u;iif{Q9DK^|?z_wsKA7FR ztGTh}_2^xBL4+lI-(-Ehry8}t032GH4+55SbpDZm;#nN#-{XHKQ2XC(N4H-_{vSol BDMSDO literal 0 HcmV?d00001 diff --git a/baselines/flanders/flanders/attacks.py b/baselines/flanders/flanders/attacks.py index e4b35259018f..75277b1899e1 100644 --- a/baselines/flanders/flanders/attacks.py +++ b/baselines/flanders/flanders/attacks.py @@ -5,13 +5,13 @@ ndarrays_to_parameters, parameters_to_ndarrays, FitRes, + Parameters, NDArrays, NDArray, - Parameters, ) from flwr.server.client_proxy import ClientProxy from scipy.stats import norm -#from strategy.krum import krum, _compute_distances + def no_attack( ordered_results:List[Tuple[ClientProxy, FitRes]], @@ -22,7 +22,7 @@ def no_attack( def gaussian_attack( ordered_results:List[Tuple[ClientProxy, FitRes]], - states:Dict[str, bool], + states:Dict[str, bool], **kwargs ) -> List[Tuple[ClientProxy, FitRes]]: magnitude = kwargs.get("magnitude", 0.0) @@ -46,6 +46,7 @@ def gaussian_attack( def lie_attack( ordered_results:List[Tuple[ClientProxy, FitRes]], states:Dict[str, bool], + omniscent:bool=True, **kwargs ) -> List[Tuple[ClientProxy, FitRes]]: """ @@ -56,6 +57,11 @@ def lie_attack( grads_mean = [np.mean(layer, axis=0) for layer in zip(*params)] grads_stdev = [np.std(layer, axis=0) ** 0.5 for layer in zip(*params)] + if not omniscent: + # if not omniscent, the attacker doesn't know the + # local models of all clients, but only of the corrupted ones + params = [params[i] for i in range(len(params)) if states[results[i][1].metrics["cid"]]] + n = len(ordered_results) # number of clients m = sum(val == True for val in states.values()) # number of corrupted clients s = math.floor((n / 2) + 1) - m # number of supporters @@ -75,6 +81,7 @@ def lie_attack( def fang_attack( ordered_results:List[Tuple[ClientProxy, FitRes]], states:Dict[str, bool], + omniscent:bool=True, **kwargs ) -> List[Tuple[ClientProxy, FitRes]]: """ @@ -98,7 +105,12 @@ def fang_attack( old_lambda = kwargs.get("old_lambda", 0.0) threshold = kwargs.get("threshold", 0.0) malicious_selected = kwargs.get("malicious_selected", False) - agr_func = kwargs.get("agr_function", None) + + if not omniscent: + # if not omniscent, the attacker doesn't know the + # local models of all clients, but only of the corrupted ones + ordered_results = [ordered_results[i] for i in range(len(ordered_results)) if states[ordered_results[i][1].metrics["cid"]]] + n = len(ordered_results) # number of clients c = sum(val == True for val in states.values()) # number of corrupted clients @@ -107,7 +119,6 @@ def fang_attack( # to avoid division by 0 c = 2 - print(f"old_lambda: {old_lambda}") # lambda initialization if old_lambda == 0: benign = [ @@ -119,7 +130,7 @@ def fang_attack( for _, fitres in ordered_results ] # Compute the smallest distance that Krum would choose - _, _, _, distances = krum(all, c, 1) + _, _, _, distances = _krum(all, c, 1) idx_benign = [int(cid) for cid in states.keys() if states[cid]==False] @@ -163,7 +174,8 @@ def fang_attack( def minmax_attack( ordered_results:List[Tuple[ClientProxy, FitRes]], - states:Dict[str, bool], + states:Dict[str, bool], + omniscent:bool=True, **kwargs ) -> List[Tuple[ClientProxy, FitRes]]: """ @@ -184,6 +196,12 @@ def minmax_attack( params = [parameters_to_ndarrays(fitres.parameters) for _, fitres in results] params_avg = [np.mean(param, axis=0) for param in zip(*params)] + if not omniscent: + # if not omniscent, the attacker doesn't know the + # local models of all clients, but only of the corrupted ones + results = [results[i] for i in range(len(results)) if states[results[i][1].metrics["cid"]]] + + # Decide what perturbation to use according to the # results presented in the paper. if dataset_name == "mnist": @@ -246,7 +264,7 @@ def minmax_attack( results[int(fitres.metrics['cid'])] = (proxy, fitres) return results, {"lambda": l} -def krum(results: List[Tuple[List, int]], m: int, to_keep: int, num_closest=None): +def _krum(results: List[Tuple[List, int]], m: int, to_keep: int, num_closest=None): """ Get the best parameters vector according to the Krum function. Output: the best parameters vector. diff --git a/baselines/flanders/flanders/client.py b/baselines/flanders/flanders/client.py index 158d5eeba7a5..acfa09e3887c 100644 --- a/baselines/flanders/flanders/client.py +++ b/baselines/flanders/flanders/client.py @@ -8,11 +8,10 @@ import ray import torch import numpy as np -import pandas as pd from collections import OrderedDict from typing import Dict, List, Union, Tuple from pathlib import Path -from .dataset import get_mnist, do_fl_partitioning, get_dataloader +from .dataset import get_mnist, get_dataloader from .models import CifarNet, train_cifar, test_cifar, MnistNet, train_mnist, test_mnist from sklearn.linear_model import LogisticRegression, ElasticNet from sklearn.metrics import accuracy_score, log_loss diff --git a/baselines/flanders/flanders/conf/base.yaml b/baselines/flanders/flanders/conf/base.yaml index 96554699e456..29f1fc4dca22 100644 --- a/baselines/flanders/flanders/conf/base.yaml +++ b/baselines/flanders/flanders/conf/base.yaml @@ -21,6 +21,8 @@ dataset: strategy: _target_: flanders.strategy.Flanders + to_keep: 1 # number of benign local models to keep for the aggregation (FedAvg) + maxiter: 50 # number of iterations done by MAR server: _target_: flanders.server.EnhancedServer @@ -46,4 +48,5 @@ server: - lie_attack - fang_attack - minmax_attack - threshold: 1e-05 \ No newline at end of file + threshold: 1e-05 + omniscent: True \ No newline at end of file diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index a2ea8edf9be5..5d3385bfc473 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -10,28 +10,19 @@ from omegaconf import DictConfig, OmegaConf -import argparse import shutil -import numpy as np import flwr as fl from flwr.common.typing import Scalar from flwr.server.client_manager import SimpleClientManager -import torch import os -import random -import pandas as pd -from typing import Dict, Callable, Optional, Tuple, List +from typing import Dict from .client import ( CifarClient, HouseClient, - IncomeClient, - set_params, - get_params, - MnistClient, - set_sklearn_model_params, - get_sklearn_model_params + IncomeClient, + MnistClient, ) from .attacks import ( fang_attack, @@ -55,21 +46,6 @@ ) from .server import EnhancedServer -from torch.utils.data import DataLoader -from torchvision import transforms -from torchvision.datasets import MNIST - -from .strategy import Flanders - -from flwr.server.strategy.fedavg import FedAvg -from flwr.common import ( - ndarrays_to_parameters, - parameters_to_ndarrays, -) - -from sklearn.linear_model import LogisticRegression, LinearRegression, Ridge, Lasso, ElasticNet -from sklearn.metrics import accuracy_score, log_loss, roc_auc_score, mean_squared_error, mean_absolute_percentage_error, r2_score - @hydra.main(config_path="conf", config_name="base", version_base=None) def main(cfg: DictConfig) -> None: @@ -151,15 +127,15 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): min_fit_clients=cfg.server.pool_size, min_evaluate_clients=0, warmup_rounds=cfg.server.warmup_rounds, - to_keep=1, + to_keep=cfg.strategy.to_keep, min_available_clients=cfg.server.pool_size, window=cfg.server.warmup_rounds, distance_function=l2_norm, - maxiter=50 + maxiter=cfg.strategy.maxiter, ) # 5. Start Simulation - history = fl.simulation.start_simulation( + fl.simulation.start_simulation( client_fn=client_fn, client_resources={"num_cpus": 10}, num_clients=cfg.server.pool_size, @@ -174,23 +150,12 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): history_dir=cfg.server.history_dir, dataset_name=dataset_name, threshold=cfg.server.threshold, + omniscent=cfg.server.omniscent, ), config=fl.server.ServerConfig(num_rounds=cfg.server.num_rounds), strategy=strategy ) - print(f"history: {history}") - - # 6. Save your results - # Here you can save the `history` returned by the simulation and include - # also other buffers, statistics, info needed to be saved in order to later - # on generate the plots you provide in the README.md. You can for instance - # access elements that belong to the strategy for example: - # data = strategy.get_my_custom_data() -- assuming you have such method defined. - # Hydra will generate for you a directory each time you run the code. You - # can retrieve the path to that directory with this: - # save_path = HydraConfig.get().runtime.output_dir - def fit_config(server_round: int) -> Dict[str, Scalar]: """Return a configuration with static batch size and (local) epochs.""" config = { diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index 936f21190f31..2d519b3c105f 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -4,8 +4,8 @@ settings). """ from flwr.server.server import fit_clients, Server +from flwr.server.history import History -import concurrent.futures import timeit import numpy as np from logging import DEBUG, INFO @@ -13,29 +13,18 @@ from typing import Callable, Dict, List, Optional, Tuple, Union, Any from flwr.common import ( - Code, DisconnectRes, - EvaluateIns, EvaluateRes, - FitIns, FitRes, Parameters, - ReconnectIns, Scalar, - parameters_to_ndarrays + parameters_to_ndarrays, ) from flwr.common.logger import log -from flwr.common.typing import GetParametersIns -from flwr.server.client_manager import ClientManager from flwr.server.client_proxy import ClientProxy -from flwr.server.history import History -from flwr.server.strategy import FedAvg, Strategy from .utils import ( - save_params, - save_predicted_params, - load_all_time_series, - load_time_series, + save_params, flatten_params ) @@ -66,6 +55,7 @@ def __init__( magnitude: float = 0.0, sampling: int = 0, history_dir: str = "clients_params", + omniscent: bool = True, *args: Any, **kwargs: Any ) -> None: @@ -85,6 +75,7 @@ def __init__( self.threshold = threshold self.old_lambda = 0.0 self.to_keep = to_keep + self.omniscent = omniscent # pylint: disable=too-many-locals @@ -260,7 +251,7 @@ def fit_round( if self.attack_fn is not None and server_round > self.warmup_rounds: print("fit_round - Applying attack function") results, others = self.attack_fn( - ordered_results, clients_state, magnitude=self.magnitude, + ordered_results, clients_state, omniscent=self.omniscent, magnitude=self.magnitude, w_re=self.aggregated_parameters, malicious_selected=self.malicious_selected, threshold=self.threshold, d=len(self.aggregated_parameters), old_lambda=self.old_lambda, dataset_name=self.dataset_name, to_keep = self.to_keep, diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index 1f89e015fc09..85b48bf26782 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -3,13 +3,7 @@ from typing import Callable, Dict, List, Optional, Tuple, Union from flwr.server.strategy.fedavg import FedAvg from flwr.server.client_manager import ClientManager -from .utils import ( - save_params, - save_predicted_params, - load_all_time_series, - load_time_series, - flatten_params -) +from .utils import load_all_time_series from flwr.common import ( FitRes, diff --git a/baselines/flanders/plotting/plots.ipynb b/baselines/flanders/plotting/plots.ipynb index 2bdb04e21c0c..220c84cc1d04 100644 --- a/baselines/flanders/plotting/plots.ipynb +++ b/baselines/flanders/plotting/plots.ipynb @@ -76,7 +76,7 @@ }, { "cell_type": "code", - "execution_count": 183, + "execution_count": 263, "metadata": {}, "outputs": [ { @@ -267,7 +267,7 @@ "[79 rows x 8 columns]" ] }, - "execution_count": 183, + "execution_count": 263, "metadata": {}, "output_type": "execute_result" } @@ -284,7 +284,7 @@ }, { "cell_type": "code", - "execution_count": 209, + "execution_count": 264, "metadata": {}, "outputs": [ { @@ -345,7 +345,270 @@ "plt.figtext(0.28,1, \"Income\", ha=\"center\", va=\"top\", fontsize=24)\n", "plt.figtext(0.75,1, \"MNIST\", ha=\"center\", va=\"top\", fontsize=24)\n", "\n", - "plt.subplots_adjust(wspace=0.5)" + "plt.subplots_adjust(wspace=0.5)\n", + "\n", + "plt.savefig('../_static/max_acc.jpg', bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Box Plots" + ] + }, + { + "cell_type": "code", + "execution_count": 270, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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num_maliciousattack_fndataset_nameroundaucaccuracylossignore_index
00GAUSSIncome00.5000000.7537880.693147NaN
10GAUSSIncome10.7682960.8039520.478740NaN
20GAUSSIncome20.7149670.7924860.495205NaN
30GAUSSIncome30.7273290.7923830.491356NaN
40GAUSSIncome40.6933390.7938170.504776NaN
...........................
40240AGR-MMMNIST460.9594860.928900121.274065True
40250AGR-MMMNIST470.9631260.934700111.445393True
40260AGR-MMMNIST480.9644100.937500105.190672True
40270AGR-MMMNIST490.9681210.94290094.859190True
40280AGR-MMMNIST500.9724120.95080086.187453True
\n", + "

4029 rows × 8 columns

\n", + "
" + ], + "text/plain": [ + " num_malicious attack_fn dataset_name round auc accuracy \\\n", + "0 0 GAUSS Income 0 0.500000 0.753788 \n", + "1 0 GAUSS Income 1 0.768296 0.803952 \n", + "2 0 GAUSS Income 2 0.714967 0.792486 \n", + "3 0 GAUSS Income 3 0.727329 0.792383 \n", + "4 0 GAUSS Income 4 0.693339 0.793817 \n", + "... ... ... ... ... ... ... \n", + "4024 0 AGR-MM MNIST 46 0.959486 0.928900 \n", + "4025 0 AGR-MM MNIST 47 0.963126 0.934700 \n", + "4026 0 AGR-MM MNIST 48 0.964410 0.937500 \n", + "4027 0 AGR-MM MNIST 49 0.968121 0.942900 \n", + "4028 0 AGR-MM MNIST 50 0.972412 0.950800 \n", + "\n", + " loss ignore_index \n", + "0 0.693147 NaN \n", + "1 0.478740 NaN \n", + "2 0.495205 NaN \n", + "3 0.491356 NaN \n", + "4 0.504776 NaN \n", + "... ... ... \n", + "4024 121.274065 True \n", + "4025 111.445393 True \n", + "4026 105.190672 True \n", + "4027 94.859190 True \n", + "4028 86.187453 True \n", + "\n", + "[4029 rows x 8 columns]" + ] + }, + "execution_count": 270, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.read_csv('../results/all_results.csv')\n", + "\n", + "df = trim_attack_fn(df)\n", + "df = dataset_name_cleaner(df)\n", + "df = add_missing_no_attacks(df)\n", + "\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 271, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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enpKTk5WYmKjIyEg1btxYYWFh6tOnjxo3blzuuiaTSa6urlZtrq6uMplMVm1ZWVmKi4vT0qVL1axZMy1evFgvvfSStm7dKkdH20r19HS39SUBACDJoaoLwH3LgfMSoJLYHGKkm8EjJCREISEhysnJ0fLly7VkyRL97W9/U5s2bRQZGanw8HA5OFh/ILi5uSk/P9+qLS8vT+7u1m9sZ2dnhYSEqFWrVpKk1157TStXrtSpU6fUrFkzm2q8ft10+04AAFiYq7oA3LfMnJcAd6Fhw7rlLqtQiDGbzTp06JASExO1c+dOFRQUKCwsTKGhobp48aKWLFmiPXv2aN68eVbrNWnSRGvWrLFqy8jI0ODBg63avL29rS72LykpkdlsltnMBwwAAACAm2wOMTNmzNDOnTuVnZ2t4OBgTZ8+XV27dpWzs7Olj7Ozs6ZMmVJq3cDAQOXk5Cg2NlbPPvus1q9fr9zcXAUGBlr1GzhwoCZPnqzQ0FC1aNFCCxYs0GOPPWbzKAwAAACA+5/NISYzM1MTJkxQr1695OHhUWaf1q1ba+nSpaXaXVxctHz5ck2bNk3vv/++vL29tXTpUrm4uGjkyJEKCAjQ2LFj1bNnT02ZMkVvvvmm/vWvf6lly5ZavHhxqelpAAAAAGouB3MF5modOXJEJSUlCggIkCQtXLhQXbt2Vdu2bSutwIowm826fDm7qssAABjIyFFD5dHs2aouA/ehnJPrtWL5J1VdBmBYt7omxuZ7F8fHx+v555/XP//5T0vbuXPnNGzYMG3fvv3uKgQAAAAAG9k8nSwmJkbvvvuuQkNDLW3vvvuugoKCtGDBAvXp06dSCgQAAACAX7J5JObSpUtq2bJlqfbWrVvr/Pnz97QoAAAAACiPzSGmdevWWrVqVanbHa9evVrNmze/54UBAAAAQFlsnk42efJkjRgxQl988YVatGghSTpx4oRMJpOWLVtWaQUCAAAAwC/ZHGJ+97vfKSkpSdu3b1d6erqcnJzUqVMn9evXT3Xq1KnMGgEAAADAwuYQI0kPPPCAhgwZUqr9X//6lx5++OF7VhQAAAAAlMfmEJOenq45c+bohx9+UElJiaSbv8tSUFCg69ev6/vvv6+0IgEAAADgZzZf2P/nP/9ZWVlZGjNmjK5du6ZRo0YpNDRUubm5evfddyuzRgAAAACwsHkkJjU1VWvXrlWLFi2UkJCgJk2aaMiQIfL29ta6des0YMCASiwTAAAAAG6yeSTG0dFRdevWlSQ1adLEMn0sKChIJ0+erJzqAAAAAOBXbA4x/v7++uijj5Sbm6tWrVpp165dKikp0bFjx+Ti4lKZNQIAAACAhc0hZvLkydq3b5/i4uLUv39/Xbt2TQEBAZowYYIGDx5cmTUCAAAAgIXN18QUFxcrMTFR+fn5cnNzU3x8vL7++mt5enrK19e3EksEAAAAgP+weSRm2LBhSktLk5ubmyTJ3d1dwcHBBBgAAAAAdmVziHn44Yd14cKFyqwFAAAAAG7L5ulkPj4+eu2119SiRQv993//d6mL+efMmXPPiwMAAACAX7M5xDg4OKhfv36VWQsAAAAA3JbNIebdd9+tzDoAAAAAwCY2h5j58+ffcvm4cePuuhgAAAAAuB2bQ0xKSorV8+LiYmVmZurGjRsKCQm554UBAAAAQFlsDjGffPJJme1/+ctfVFRUdM8KAgAAAIBbsfkWy+UZPHiwNm3adC9qAQAAAIDbuusQk5ycLFdX13tRCwAAAADcls3Tybp16yYHBwertpycHGVnZ2vixIn3vDAAAAAAKIvNIeb111+3eu7g4CAnJye1atVKjz322L2uCwAAAADKZHOIGThwoDIzM2UymdSsWTNJ0vr16+XoaPMmAAAAAOCu2XxNTHJyskJDQ7V7925LW2JiosLCwrR///5KKQ4AAAAAfs3mEDN37ly98cYbGjt2rKVt5cqVev311zVnzpxKKQ4AAAAAfs3mEHPmzBkFBweXau/evbtOnTpl0zZSU1MVEREhX19fhYeHKy0t7Zb9N2zYoE6dOtlaIgAAAIAawOYQ88QTT2jr1q2l2v/xj3/o0Ucfve36+fn5ioqK0qBBg3To0CFFREQoKipKBQUFZfY/c+aM3nvvPVvLAwAAAFBD2HxV/htvvKHRo0dr7969atmypSTp+++/17Fjx7Ro0aLbrn/gwAE5OTkpMjJSkjRkyBCtWrVKBw8eVJcuXaz6FhcX680339SgQYOUkJBQgZcDAAAA4H5n80hMUFCQNm/erLZt2+r06dM6d+6c2rRpo+3bt6tr1663XT8jI0NNmza1avP29lZ6enqpvh9++KF++9vf2rRdAAAAADVLhe6P7OLiogEDBljdYvnXP4BZHpPJJFdXV6s2V1dXmUwmq7bU1FRt2bJFGzZsUGpqakXKAwAAAFAD2BxikpOT9frrr+ull16yhJjExETNnj1bS5YsUceOHW+5vpubm/Lz863a8vLy5O7ubvV80qRJio6OloeHR0Veh4Wnp/vtOwEAYGHbl3FAxTlwXgJUEptDzM+3WB42bJilbeXKlVq1apXmzJmjTZs23XL9Jk2aaM2aNVZtGRkZGjx4sOV5amqqzpw5ozFjxki6eW1Mbm6uAgICtGXLFj3yyCO3rfP6ddNt+wAA8B/mqi4A9y0z5yXAXWjYsG65y+x2i+XAwEDl5OQoNjZWhYWFio2NVW5urgIDAy19AgICdOzYMaWkpCglJUUxMTHy8vJSSkqKTQEGAAAAwP3PbrdYdnFx0fLly5WQkKD27dtrw4YNWrp0qVxcXDRy5EjFxMRUrHIAAAAANZKD2Wy2aRx93759Gj16tNq2bWu5xXJaWpqOHTumxYsXV4s7iZnNZl2+nF3VZQAADGTkqKHyaPZsVZeB+1DOyfVasfyTqi4DMKx7Mp0sKChIW7Zssdxi+fz58/L19VVSUpLVlDAAAAAAqEw2X9h/8eJF/f3vf9cPP/ygkpISmc1mXblyRQcOHNCpU6d05MiRyqwTAAAAACRVYCTmrbfe0r59++Tn56djx47J399fDz30kNLS0vSnP/2pMmsEAAAAAAubR2IOHz6slStXys/PT3v37lVwcLD8/f314YcfKjk5Wc8991xl1gkAAAAAkiowEmM2m9WoUSNJUtOmTZWWliZJCgkJUWpqauVUBwAAAAC/YnOIadmypRISEiRJLVq00J49eyTd/P0YAAAAALAXm6eTTZgwQWPHjpWbm5sGDBigFStWKCQkRBcuXFD//v0rs0YAAAAAsLA5xPj5+Wn37t3Kzc3VAw88oPj4eO3atUuenp4KCQmpzBoBAAAAwMLmECNJHh4e8vDwkCQ1atRIQ4YMqZSiAAAAAKA8Nl8TAwAAAADVASEGAAAAgKEQYgAAAAAYCiEGAAAAgKEQYgAAAAAYCiEGAAAAgKEQYgAAAAAYCiEGAAAAgKEQYgAAAAAYCiEGAAAAgKEQYgAAAAAYCiEGAAAAgKEQYgAAAAAYCiEGAAAAgKEQYgAAAAAYCiEGAAAAgKEQYgAAAAAYCiEGAAAAgKEQYgAAAAAYCiEGAAAAgKEQYgAAAAAYit1CTGpqqiIiIuTr66vw8HClpaWV2W/JkiUKDg5WQECAhg4dqh9//NFeJQIAAAAwALuEmPz8fEVFRWnQoEE6dOiQIiIiFBUVpYKCAqt+mzZt0ubNm/XJJ5/owIED6tixo8aMGSOz2WyPMgEAAAAYgF1CzIEDB+Tk5KTIyEg5OTlpyJAhcnZ21sGDB636Xb9+XWPHjlXjxo3l6OioYcOGKTMzUxcvXrRHmQAAAAAMwNEeO8nIyFDTpk2t2ry9vZWenq4uXbpY2kaMGGHVZ/fu3fLy8tJDDz1kjzIBAAAAGIBdRmJMJpNcXV2t2lxdXWUymcpd59ChQ5o+fbqmTp0qBweHyi4RAAAAgEHYZSTGzc1N+fn5Vm15eXlyd3cvs/+WLVs0bdo0TZs2TX369KnQvjw9y94mAABl44syVBYHzkuASmKXENOkSROtWbPGqi0jI0ODBw8u1Xfx4sX6+OOPFRMTow4dOlR4X9evlz+6AwBAadw8BpXFzHkJcBcaNqxb7jK7TCcLDAxUTk6OYmNjVVhYqNjYWOXm5iowMNCqX3x8vFatWqXY2Ng7CjAAAAAA7n92CTEuLi5avny5EhIS1L59e23YsEFLly6Vi4uLRo4cqZiYGEnS8uXLlZOTo9///vfy8/OzPDIyMuxRJgAAAAADsMt0Mklq0aKF1q1bV6p9xYoVlv9PSkqyVzkAAAAADMouIzEAAAAAcK8QYgAAAAAYCiEGAAAAgKEQYgAAAAAYCiEGAAAAgKEQYgAAAAAYCiEGAAAAgKEQYgAAAAAYCiEGAAAAgKEQYgAAAAAYCiEGAAAAgKEQYgAAAAAYCiEGAAAAgKEQYgAAAAAYCiEGAAAAgKEQYgAAAAAYCiEGAAAAgKEQYgAAAAAYCiEGAAAAgKEQYgAAAAAYCiEGAAAAgKEQYgAAAAAYCiEGAAAAgKEQYgAAAAAYCiEGAAAAgKEQYgAAAAAYCiEGAAAAgKE4VnUBAABUpfr1H1TWyfVVXYZhmEtK5FCL70BtUb/+g1VdAnDfcjCbzeaqLuJeMZvNunw5u6rLAADgvjV69HB9+OGqqi4DQA3QsGHdcpfxVQoAAAAAQ7FriElNTVVERIR8fX0VHh6utLS0MvutXLlSnTt3lr+/vyZPnqz8/Hx7lgkAAACgGrNbiMnPz1dUVJQGDRqkQ4cOKSIiQlFRUSooKLDql5ycrFWrVmn16tXavXu3zp8/rwULFtirTAAAAADVnN1CzIEDB+Tk5KTIyEg5OTlpyJAhcnZ21sGDB636bd68Wc8++6wee+wx1a9fX6+++qo2b95srzIBAAAAVHN2CzEZGRlq2rSpVZu3t7fS09Ot2k6dOmXVz9vbW5cuXVJWVpZd6gQAAABQvdntFssmk0murq5Wba6urjKZTFZtubm5cnNzszz/+f9zc3NVv379yi8UAIBqYObMqcrMPFPVZZRSUlKs0aOHV3UZVn7zm8Z6++3oqi4DgB3ZLcS4ubmVukA/Ly9P7u7uVm2urq7Ky8uzPM/NzZWkUv3K4+lpWz8AAKqzuXPnVnUJAFBt2S3ENGnSRGvWrLFqy8jI0ODBg0v1y8jIsOrToEED1atXz6b9XL9uun0nAAAAANVatfidmMDAQOXk5Cg2NlaFhYWKjY1Vbm6uAgMDrfr17dtXcXFxSk9P140bN7Ro0SL17dvXXmUCAAAAqOYczGaz2V47+/777zVt2jT98MMP8vb21syZM9WqVSuNHDlSAQEBGjt2rCTpf//3f7Vq1SplZ2erZ8+emjFjhlxcXG67fbPZrMuXsyv7ZQAAAACoZLcaibFriKlshBgAAADg/lAtppMBAAAAwL1AiAEAAABgKIQYAAAAAIZCiAEAAABgKPfVhf0AAAAA7n+MxAAAAAAwFEIMAAAAAEMhxAAAAAAwFEIMAAAAAEMhxAAAAAAwFEIMAAAAAEMhxAAAAAAwFEJMDXXw4EGNGjVKHTt2lK+vr3r37q0lS5aoqKjIqt/AgQPVtWvXUu0LFy7U+PHjS203Li5OQ4cOtTz/8ssvFRkZKT8/P/n7+2vEiBH69ttvLcuzs7M1ffp0de7cWb6+vurZs6fmzZtXan+Avfn4+Cg9Pb3MZZMmTdIHH3wg6eZ7qXnz5vLz8yv12L59uz1LBu7Y3r17NXToUPn5+al9+/YaMWKEDhw4YFnu4+MjX19fy7Ht7++vqKgonT9/XikpKZZ2X19f+fj4WL0PAHt55ZVX1LZtW12/ft2qvaioSMuXL1ffvn3l7++vJ598UsOGDdP+/fstfRYuXKiWLVtaHcsBAQF66aWXdOnSpXL3+fN7w2QyWbVnZ2erTZs2ioyMlHTzs8LHx8fqHOlne/fulY+Pj+VzBbYhxNRASUlJioqKUs+ePbV7926lpKRo3rx5+vzzz/Xee+9Z+qWmpspkMumRRx7Rzp07K7yfn376SePGjdMrr7yiw4cPa//+/erWrZuef/55Xb16VZL0zjvv6MqVK9qyZYuOHj2q5cuXKzk5WfPnz79nrxeobF5eXvrmm29KPfr06VPVpQG3tXnzZv3pT3/SwIED9dVXX2nPnj3q37+/Xn31VasgHh8fbzm29+7dKzc3N73++usKCAiwtMfHx0uS1fsAsIfLly/r0KFD6tatmzZs2GC17NVXX1ViYqKio6OVkpJi+YL1lVde0fHjxy39nn76actxe/ToUW3btk3Xr1/X7Nmzb7lvFxcXJScnW7Xt2LFDjo6OVm3u7u46duyYLly4YNX+6aefysPD405edo1GiKlhCgsL9c4772jSpEn6wx/+IDc3Nzk6OqpFixb64IMP9NBDD1n6rl+/Xr169dLAgQMVGxtb4X2lpaXJy8tLXbp0Ua1ateTs7Kznn39e4eHhunLliiTp+PHj6tGjhx588EFJUpMmTTR58mTezABgB7m5uZo1a5beeecdhYeHq06dOnJ2dtaAAQM0ZcoUzZgxQwUFBaXWc3V1Vd++fXXy5MkqqBoobePGjQoKClJkZKTi4uJUUlIiSfrss890+PBhrVixQm3btpWDg4Pq1KmjsLAwTZs2rdQIyi81atRIYWFh+uGHH26572eeeUbbtm2zatu6dat69epl1ebu7q5OnTopMTHR0pafn689e/aoc+fOFX3JNR4hpoY5evSosrKy1K9fv1LLHn30UY0ePVrSzQ+2bdu2KSIiQqGhofruu+8q/GHVoUMHmUwmDR48WB9//LHS0tJUXFysqVOn6re//a0kKSQkRLNmzVJ0dLR27dqlq1evqmPHjho7duzdv1gAwC0dPXpUeXl56tGjR6llffr0kclkKnM05fLly1q3bp3at29vjzKB24qPj1dERIQ6deokSfriiy8kSbt27VL37t0tX5b+Ur9+/dShQ4dyt3n69GmtW7dOgYGBt9x3nz59tG/fPv373/+WdPP98dNPP6ldu3al+vbt29dqhDM5OVkdOnSQu7v77V8krBBiapiLFy/K09NTLi4ulrYxY8YoICBAAQEBat26tc6ePavExES1aNFC3t7elm8sVq9eXaF9eXl5adOmTfLz89O6desUHh6uoKAgLV68WGazWdLNId7o6GhlZmZq4sSJCgoK0tChQ2/7rQdQnVy5csXyHvrlo7i4uKpLA27p8uXLql+/fqlpL5Lk7OysevXq6fLly5KkZ599VgEBAfL399eAAQPk4uKid955x94lA6UcPHhQRUVF6tSpkxwcHBQZGWk5Z7l48aIaNWpk6Xvu3DnLv9F+fn564YUXLMt27txpaW/ZsqVGjx6tXr166c0337zl/hs2bKi2bdtapt5v375dvXv3Vq1apU+ze/TooR9//FGZmZmSbo7YlPXFMm6v9L9auK89+OCDysrKUmFhoZycnCRJy5Ytk3RzSLNNmzYym81at26d/vnPf1q+0cjLy1NJSYkmTJigunXrytnZucwTtOLiYjk7O1ueN2rUSG+++abefPNNXbt2TcnJyZo9e7YaNmxouditd+/e6t27t0pKSvT9999r6dKlGjVqlD777DPVrl27sv8kwF3z8vLS3r17q7oMoMIaNGigq1evqqCgwOrfbunmZ8LVq1ct32CvX79eTzzxRFWUCdzSunXrdOnSJcuUrMLCQt24cUOnT5+Wl5eX1YX5jzzyiFJSUiTdvBnRL0dFevXqpXnz5qm4uFh///vf9eGHH6pnz56W90ZoaKjOnTsn6eaIysyZMy3rhoWFadu2bQoPD9fWrVs1c+ZMpaWllarV1dVVPXv21Pbt2/XHP/5Rx48f19/+9jerKWawDSMxNYy/v7/c3d1vedek/Px8paWlacuWLUpISFBCQoKSkpL0yCOPaNOmTZJuhpOzZ8+WWvfMmTOWbzxmzJhh9e3FAw88oPDwcPXr10/ff/+9Lly4oDZt2uj06dOSpFq1aqlly5aaOXOmzp8/r6ysrHv50gEAv/Lkk0/Kw8OjzM+ELVu2qF69evL396+CygDbZGVlaefOnfr4448t5yzbtm1Tp06dFBsbqx49eig5OblC5xS1a9fW8OHD1adPH40dO9ZyM6Jt27ZZLvz/ZYCRbl4Xc+TIEX377bfKzc1V8+bNy91+WFiYtm/frh07dqhnz55ljoTi9ggxNYyzs7NmzJih6OhorV27VtnZ2TKbzUpLS9O4cePk4eGhFStWqFu3bmrcuLEaNmxoeQwYMECxsbEym83q0qWLTp8+rdWrV6ugoECFhYXau3evEhIS1LdvX0k339A7duzQhg0blJeXp4KCAqWkpGjXrl0KDg5Wo0aN5Ovrq2nTplluZXvlyhUtXbpUvr6+Zc5fBezpypUr+te//mV5XLt2rapLAu4pFxcXvf3225o9e7Y2bdqknJwcZWdna+PGjfrLX/6iKVOmlBqhAaqTzZs3q2nTpvL19bU6Z4mIiNDGjRvVtWtXPfnkk3rxxRd15MgRFRcXKy8vT1u3btWyZcvUoEGDcrc9YcIEubq6atasWbeto169egoKCtKkSZMs50Hl6dSpky5cuKCPPvqIqWR3gehXA/Xu3Vv/9V//peXLl2v+/PkymUxq0KCBunfvrrffflvh4eGaPn16qfX69eunuXPnau/evercubNWrlypuXPnav78+SosLNTjjz+u6dOnq2PHjpKkwMBALViwQMuWLdN7772noqIiy93HunXrJklavHixFixYoFGjRunq1atyc3NT9+7dtXTpUnv+SYAy/fp+/sHBwZbpl7905cqVMn8PY9CgQZo0aVKl1QfcC2FhYfLy8lJMTIxmz54ts9ms1q1ba+HChZZ/z4HqasOGDerfv3+p9p49e2ratGn69NNPtWjRIsXFxWnWrFk6ffq0iouL5ePjo5deekkRERHlbtvFxUWzZs3Sc889p7CwMHXv3v2WtYSFhWn8+PEKCwu7ZT9HR0f17t1be/bska+vr02vE6U5mH++whoAAAAADIDpZAAAAAAMhRADAAAAwFAIMQAAAAAMhRADAAAAwFAIMQAAAAAMhRADAKgWyrpZJjfQBACUhRADALCLt956Sz4+Plq4cGGpZSkpKRo9erRV2+LFi7VixYp7XsfQoUP1xz/+8Z5vFwBgP4QYAECly8nJUWJiopo1a6b169eruLjYavmaNWuUnp5ueV5UVKQFCxYoLy/P3qUCAAyAEAMAqHSJiYkqLCzUtGnTdOHCBe3evbuqSwIAGBghBgBQ6eLj49WuXTsFBASoefPmiouLsyybNGmSPv30U509e1Y+Pj7auHGjWrZsKUlatGiRfHx8LH137dqlwYMHy8/PT61atVLv3r31ySefWO0rJydHs2fPVrdu3dS2bVsNHDhQO3bsKLe2/fv3q02bNnrjjTdKjRABAKonQgwAoFKdOnVKR44c0YABAyRJ4eHh2rdvn06fPi1JioqKUufOndWwYUOtXbtWwcHBio2NlST9/ve/19q1ayVJn3/+uV5++WW1bNlSS5Ys0aJFi9S4cWNFR0crJSVFklRSUqKRI0dq06ZNevHFFxUTE6MWLVpo3Lhx+uqrr0rV9s033ygqKkq9evXSnDlzVLt2bTv8RQAAd8uxqgsAANzf4uPjVadOHT399NOSpH79+un999/XmjVrNHHiRD366KN64IEH5OzsLF9fX0lSvXr1JEkPP/ywpS09PV39+vXTlClTLNv29fVVhw4d9PXXXysgIEBfffWVjhw5ogULFuiZZ56RJHXs2FGZmZk6cOCAunTpYlk3LS1No0aNUvfu3QkwAGAwhBgAQKUpKirS5s2b1aNHDxUWFqqwsFC1a9dW586dtXHjRo0fP17Ozs42bevFF1+UdHO6WEZGhv7v//5Px48flyQVFBRIunmXs9q1a6tnz55W63788cdWzy9cuKAXXnhBhYWFmj59OgEGAAyG6WQAgErzxRdf6NKlS9qyZYvatWtneSQnJ+v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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dataset_names = [\"Income\", \"MNIST\"]\n", + "\n", + "\n", + "for _, dataset in enumerate(dataset_names):\n", + " dfl = df.loc[df.dataset_name == dataset]\n", + " # only consider the rounds where the attack takes place\n", + " dfd = dfl.loc[dfl[\"round\"] >= 30]\n", + " name = y = 'accuracy'\n", + "\n", + " sns.set_style('darkgrid')\n", + " plt.figure(figsize=(14, 4), dpi=70)\n", + " plt.gcf().suptitle(dataset, fontsize=\"x-large\")\n", + "\n", + " ax = sns.boxplot(data=dfd, x=\"attack_fn\", y=y, fliersize=0)\n", + " # set labels\n", + " ax.set_xlabel(\"Attack\", fontsize=\"large\")\n", + " plt.savefig(f\"../_static/boxplot_{dataset}.jpg\", bbox_inches='tight')" ] } ], diff --git a/baselines/flanders/pyproject.toml b/baselines/flanders/pyproject.toml index 85086e9ab976..ec9a5094d883 100644 --- a/baselines/flanders/pyproject.toml +++ b/baselines/flanders/pyproject.toml @@ -44,6 +44,7 @@ torch = "^2.1.1" pandas = "^2.1.3" scikit-learn = "1.3.2" torchvision = "^0.16.1" +ipykernel = "^6.27.1" [tool.poetry.dev-dependencies] isort = "==5.11.5" diff --git a/baselines/flanders/results/all_results.csv b/baselines/flanders/results/all_results.csv index 90931b8ef51b..946fb8c36b5d 100644 --- a/baselines/flanders/results/all_results.csv +++ b/baselines/flanders/results/all_results.csv @@ -3721,4 +3721,4 @@ num_malicious,attack_fn,dataset_name,round,auc,accuracy,loss 9,,mnist,47,0.7296020087987937,0.5159,450.77322256565094 9,,mnist,48,0.8408576668172365,0.7179,279.2310344874859 9,,mnist,49,0.8576471609512788,0.7467,245.46242344379425 -9,,mnist,50,0.8967584596327782,0.8154,193.52280868589878 +9,,mnist,50,0.8967584596327782,0.8154,193.52280868589878 \ No newline at end of file From 34ec17d7108d953b7116da223fa4c719cceef58b Mon Sep 17 00:00:00 2001 From: Edoardo Gabrielli Date: Thu, 21 Dec 2023 11:46:46 +0100 Subject: [PATCH 18/91] Update baselines/flanders/README.md Co-authored-by: Javier --- baselines/flanders/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/baselines/flanders/README.md b/baselines/flanders/README.md index bd4471026c32..f54a1c9f1a62 100644 --- a/baselines/flanders/README.md +++ b/baselines/flanders/README.md @@ -1,8 +1,8 @@ --- title: A Byzantine-Resilient Aggregation Scheme for Federated Learning via Matrix Autoregression on Client Updates url: https://arxiv.org/abs/2303.16668 -labels: [robustness, model poisoning, anomaly detection, autoregressive model] # please add between 4 and 10 single-word (maybe two-words) labels (e.g. "system heterogeneity", "image classification", "asynchronous", "weight sharing", "cross-silo") -dataset: [MNIST, Income, California Housing] # list of datasets you include in your baseline +labels: [robustness, model poisoning, anomaly detection, autoregressive model] +dataset: [MNIST, Income, California Housing] --- ****Paper:**** https://arxiv.org/abs/2303.16668 From 8adffc76f180a2c1d2ade1c99034f345ccbd7f3f Mon Sep 17 00:00:00 2001 From: Edoardo Gabrielli Date: Thu, 21 Dec 2023 11:46:53 +0100 Subject: [PATCH 19/91] Update baselines/flanders/README.md Co-authored-by: Javier --- baselines/flanders/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/baselines/flanders/README.md b/baselines/flanders/README.md index f54a1c9f1a62..02730c9fd3e3 100644 --- a/baselines/flanders/README.md +++ b/baselines/flanders/README.md @@ -5,7 +5,7 @@ labels: [robustness, model poisoning, anomaly detection, autoregressive model] dataset: [MNIST, Income, California Housing] --- -****Paper:**** https://arxiv.org/abs/2303.16668 +****Paper:**** [arxiv.org/abs/2303.16668](https://arxiv.org/abs/2303.16668) ****Authors:**** Gabriele Tolomei, Edoardo Gabrielli, Dimitri Belli, Vittorio Miori From 01fcceb8f322e989cb7006546a37ce37d05ee5a7 Mon Sep 17 00:00:00 2001 From: Edoardo Gabrielli Date: Thu, 21 Dec 2023 11:52:00 +0100 Subject: [PATCH 20/91] Update baselines/flanders/pyproject.toml Co-authored-by: Javier --- baselines/flanders/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/baselines/flanders/pyproject.toml b/baselines/flanders/pyproject.toml index ec9a5094d883..34985e684d6f 100644 --- a/baselines/flanders/pyproject.toml +++ b/baselines/flanders/pyproject.toml @@ -40,7 +40,7 @@ classifiers = [ python = ">=3.9, <3.12.0" # pandas requires >=3.9 hydra-core = "1.3.2" # don't change this flwr = {extras = ["simulation"], version = "1.6.0" } -torch = "^2.1.1" +torch = "2.1.1" pandas = "^2.1.3" scikit-learn = "1.3.2" torchvision = "^0.16.1" From 8d22f2e3e74fa75d7e3e598fb3b8b554a0322d97 Mon Sep 17 00:00:00 2001 From: Edoardo Gabrielli Date: Thu, 21 Dec 2023 11:52:10 +0100 Subject: [PATCH 21/91] Update baselines/flanders/pyproject.toml Co-authored-by: Javier --- baselines/flanders/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/baselines/flanders/pyproject.toml b/baselines/flanders/pyproject.toml index 34985e684d6f..dff6a4991038 100644 --- a/baselines/flanders/pyproject.toml +++ b/baselines/flanders/pyproject.toml @@ -43,7 +43,7 @@ flwr = {extras = ["simulation"], version = "1.6.0" } torch = "2.1.1" pandas = "^2.1.3" scikit-learn = "1.3.2" -torchvision = "^0.16.1" +torchvision = "0.16.1" ipykernel = "^6.27.1" [tool.poetry.dev-dependencies] From 56e2bb8470ca2f9854cc314f695d812905f79004 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Thu, 21 Dec 2023 13:22:48 +0100 Subject: [PATCH 22/91] Fix main.py logic --- baselines/flanders/README.md | 21 ++- baselines/flanders/flanders/conf/base.yaml | 25 +--- baselines/flanders/flanders/main.py | 166 ++++++++++----------- 3 files changed, 101 insertions(+), 111 deletions(-) diff --git a/baselines/flanders/README.md b/baselines/flanders/README.md index 02730c9fd3e3..e90a72b497a2 100644 --- a/baselines/flanders/README.md +++ b/baselines/flanders/README.md @@ -84,14 +84,29 @@ Ensure that the environment is properly set up, then run: python -m flanders.main ``` -This will run the entire batch of experiments with all the settings specified in `conf/base.yaml`. You can change them if you want to run single experiments. +To execute a single experiment with the default values in `conf/base.yaml`. -Note that also CIFAR-10 and California Housing are implemented. +To run custom experiments, you can override the defaults values like that: + +```bash +python -m flanders.main dataset=income server.attack_fn=lie server.num_malicious=1 +``` + +Finally, to run multiple custom experiments: + +```bash +python -m flanders.main --multirun dataset=income,mnist server.attack_fn=gaussian,lie,fang,minmax server.num_malicious=0,1,2,3,4,5 +``` ## Expected Results -By running the above command, it will generate the results in `results/all_results.csv`. To generate the plots, use the notebook in `plotting/plots.ipynb`. +By running; +```bash +python -m flanders.main --multirun dataset=income,mnist server.attack_fn=gaussian,lie,fang,minmax server.num_malicious=0,1,2,3,4,5,6,7,8,9 +``` + +It will generate the results in `results/all_results.csv`. To generate the plots, use the notebook in `plotting/plots.ipynb`. Expected maximum accuracy achieved across different number of malicious clients and different attacks: ![](_static/max_acc.jpg) diff --git a/baselines/flanders/flanders/conf/base.yaml b/baselines/flanders/flanders/conf/base.yaml index 29f1fc4dca22..8d906fe4a487 100644 --- a/baselines/flanders/flanders/conf/base.yaml +++ b/baselines/flanders/flanders/conf/base.yaml @@ -12,12 +12,7 @@ hydra: run: dir: . -dataset: - name: - - income - #- house - - mnist - #- cifar +dataset: mnist strategy: _target_: flanders.strategy.Flanders @@ -28,25 +23,11 @@ server: _target_: flanders.server.EnhancedServer num_rounds: 50 pool_size: 10 - num_malicious: - - 0 - - 1 - - 2 - - 3 - - 4 - - 5 - - 6 - - 7 - - 8 - - 9 warmup_rounds: 30 sampling: 500 history_dir: clients_params magnitude: 100 - attack_fn: - - gaussian_attack - - lie_attack - - fang_attack - - minmax_attack threshold: 1e-05 + attack_fn: gaussian + num_malicious: 0 omniscent: True \ No newline at end of file diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 5d3385bfc473..39161d1483a6 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -60,10 +60,10 @@ def main(cfg: DictConfig) -> None: print(OmegaConf.to_yaml(cfg)) attacks = { - "gaussian_attack": gaussian_attack, - "lie_attack": lie_attack, - "fang_attack": fang_attack, - "minmax_attack": minmax_attack + "gaussian": gaussian_attack, + "lie": lie_attack, + "fang": fang_attack, + "minmax": minmax_attack } clients = { @@ -73,88 +73,82 @@ def main(cfg: DictConfig) -> None: "income": (IncomeClient, income_evaluate) } - for dataset_name in cfg.dataset.name: - for attack_fn in cfg.server.attack_fn: - for num_malicious in cfg.server.num_malicious: - # the experiment with num_malicious = 0 should be done only one time - if num_malicious == 0 and attack_fn != "gaussian_attack": - continue - - if attack_fn == "fang_attack" and num_malicious == 1: - continue - - # Delete old client_params and clients_predicted_params - if os.path.exists(cfg.server.history_dir): - shutil.rmtree(cfg.server.history_dir) - - # 2. Prepare your dataset - sampling = cfg.server.sampling - if dataset_name == "cifar": - train_path, testset = get_cifar_10() - fed_dir = do_fl_partitioning( - train_path, pool_size=cfg.server.pool_size, alpha=10000, num_classes=10, val_ratio=0.5, seed=1234 - ) - elif dataset_name == "income": - sampling = 0 - X_train, X_test, y_train, y_test = get_partitioned_income("flanders/datasets_files/adult.csv", cfg.server.pool_size) - elif dataset_name == "house": - sampling = 0 - X_train, X_test, y_train, y_test = get_partitioned_house("flanders/datasets_files/houses_preprocessed.csv", cfg.server.pool_size) - - - # 3. Define your clients - def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): - client = clients[dataset_name][0] - cid_idx = int(cid) - if dataset_name == "cifar": - return client(cid, fed_dir) - elif dataset_name == "mnist": - return client(cid, pool_size) - elif dataset_name == "income": - return client(cid, X_train[cid_idx], y_train[cid_idx], X_test[cid_idx], y_test[cid_idx]) - elif dataset_name == "house": - return client(cid, X_train[cid_idx], y_train[cid_idx], X_test[cid_idx], y_test[cid_idx]) - else: - raise ValueError("Dataset not supported") - - # 4. Define your strategy - strategy = instantiate( - cfg.strategy, - evaluate_fn = clients[dataset_name][1], - on_fit_config_fn=fit_config, - fraction_fit=1, - fraction_evaluate=0, - min_fit_clients=cfg.server.pool_size, - min_evaluate_clients=0, - warmup_rounds=cfg.server.warmup_rounds, - to_keep=cfg.strategy.to_keep, - min_available_clients=cfg.server.pool_size, - window=cfg.server.warmup_rounds, - distance_function=l2_norm, - maxiter=cfg.strategy.maxiter, - ) - - # 5. Start Simulation - fl.simulation.start_simulation( - client_fn=client_fn, - client_resources={"num_cpus": 10}, - num_clients=cfg.server.pool_size, - server=EnhancedServer( - warmup_rounds=cfg.server.warmup_rounds, - num_malicious=num_malicious, - attack_fn=attacks[attack_fn], - magnitude=cfg.server.magnitude, - client_manager=SimpleClientManager(), - strategy=strategy, - sampling=cfg.server.sampling, - history_dir=cfg.server.history_dir, - dataset_name=dataset_name, - threshold=cfg.server.threshold, - omniscent=cfg.server.omniscent, - ), - config=fl.server.ServerConfig(num_rounds=cfg.server.num_rounds), - strategy=strategy - ) + # Delete old client_params and clients_predicted_params + if os.path.exists(cfg.server.history_dir): + shutil.rmtree(cfg.server.history_dir) + + dataset_name = cfg.dataset + attack_fn = cfg.server.attack_fn + num_malicious = cfg.server.num_malicious + + # 2. Prepare your dataset + sampling = cfg.server.sampling + if dataset_name == "cifar": + train_path, testset = get_cifar_10() + fed_dir = do_fl_partitioning( + train_path, pool_size=cfg.server.pool_size, alpha=10000, num_classes=10, val_ratio=0.5, seed=1234 + ) + elif dataset_name == "income": + sampling = 0 + X_train, X_test, y_train, y_test = get_partitioned_income("flanders/datasets_files/adult.csv", cfg.server.pool_size) + elif dataset_name == "house": + sampling = 0 + X_train, X_test, y_train, y_test = get_partitioned_house("flanders/datasets_files/houses_preprocessed.csv", cfg.server.pool_size) + + + # 3. Define your clients + def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): + client = clients[dataset_name][0] + cid_idx = int(cid) + if dataset_name == "cifar": + return client(cid, fed_dir) + elif dataset_name == "mnist": + return client(cid, pool_size) + elif dataset_name == "income": + return client(cid, X_train[cid_idx], y_train[cid_idx], X_test[cid_idx], y_test[cid_idx]) + elif dataset_name == "house": + return client(cid, X_train[cid_idx], y_train[cid_idx], X_test[cid_idx], y_test[cid_idx]) + else: + raise ValueError("Dataset not supported") + + # 4. Define your strategy + strategy = instantiate( + cfg.strategy, + evaluate_fn = clients[dataset_name][1], + on_fit_config_fn=fit_config, + fraction_fit=1, + fraction_evaluate=0, + min_fit_clients=cfg.server.pool_size, + min_evaluate_clients=0, + warmup_rounds=cfg.server.warmup_rounds, + to_keep=cfg.strategy.to_keep, + min_available_clients=cfg.server.pool_size, + window=cfg.server.warmup_rounds, + distance_function=l2_norm, + maxiter=cfg.strategy.maxiter, + ) + + # 5. Start Simulation + fl.simulation.start_simulation( + client_fn=client_fn, + client_resources={"num_cpus": 10}, + num_clients=cfg.server.pool_size, + server=EnhancedServer( + warmup_rounds=cfg.server.warmup_rounds, + num_malicious=num_malicious, + attack_fn=attacks[attack_fn], + magnitude=cfg.server.magnitude, + client_manager=SimpleClientManager(), + strategy=strategy, + sampling=cfg.server.sampling, + history_dir=cfg.server.history_dir, + dataset_name=dataset_name, + threshold=cfg.server.threshold, + omniscent=cfg.server.omniscent, + ), + config=fl.server.ServerConfig(num_rounds=cfg.server.num_rounds), + strategy=strategy + ) def fit_config(server_round: int) -> Dict[str, Scalar]: """Return a configuration with static batch size and (local) epochs.""" From d09c8012c301023da4a5aa1841ad57c4b6d73399 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Thu, 21 Dec 2023 13:26:11 +0100 Subject: [PATCH 23/91] Add social media profiles --- baselines/flanders/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/baselines/flanders/README.md b/baselines/flanders/README.md index e90a72b497a2..7f402dc6bd51 100644 --- a/baselines/flanders/README.md +++ b/baselines/flanders/README.md @@ -20,7 +20,7 @@ dataset: [MNIST, Income, California Housing] ****Hardware Setup:**** Apple M2 Pro, 16gb RAM -****Contributors:**** Edoardo Gabrielli, University of Rome "La Sapienza" +****Contributors:**** Edoardo Gabrielli, University of Rome "La Sapienza" ([GitHub](https://github.com/edogab33), [LinkedIn](https://www.linkedin.com/in/edoardog/), [Scholar](https://scholar.google.com/citations?user=b3bePdYAAAAJ)) ## Experimental Setup From 76d14aa820b04f1f3ac43fc6bc56bdc78f01673f Mon Sep 17 00:00:00 2001 From: edogab33 Date: Thu, 21 Dec 2023 13:27:43 +0100 Subject: [PATCH 24/91] Add author in pyproject.toml --- baselines/flanders/pyproject.toml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/baselines/flanders/pyproject.toml b/baselines/flanders/pyproject.toml index dff6a4991038..b1e760d78217 100644 --- a/baselines/flanders/pyproject.toml +++ b/baselines/flanders/pyproject.toml @@ -3,11 +3,11 @@ requires = ["poetry-core>=1.4.0"] build-backend = "poetry.masonry.api" [tool.poetry] -name = "flanders" # <----- Ensure it matches the name of your baseline directory containing all the source code +name = "flanders" version = "1.0.0" description = "FLANDERS" license = "Apache-2.0" -authors = ["The Flower Authors "] +authors = ["Edoardo Gabrielli "] readme = "README.md" homepage = "https://flower.dev" repository = "https://github.com/adap/flower" From 8ae7ceb5001ebc61258a231821b4eb4987b4c880 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Thu, 21 Dec 2023 13:35:36 +0100 Subject: [PATCH 25/91] Extend "About this baseline" section --- baselines/flanders/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/baselines/flanders/README.md b/baselines/flanders/README.md index 7f402dc6bd51..b19433be9555 100644 --- a/baselines/flanders/README.md +++ b/baselines/flanders/README.md @@ -14,7 +14,7 @@ dataset: [MNIST, Income, California Housing] ## About this baseline -****What’s implemented:**** The code in this directory replicates the results on MNIST and Income datasets under all attack settings (Gaussian, LIE, OPT and AGR-MM), but I've also implemented the code for California Housing and CIFAR-10. +****What’s implemented:**** The code in this directory replicates the results on MNIST and Income datasets under all attack settings (Gaussian, LIE, OPT and AGR-MM), but I've also implemented the code for California Housing and CIFAR-10. More specifically, you can reproduce part of Fig. 3 (a) and (b), and part of Fig. 4 and Fig. 5 in Appendix G.2 (there's no division between $b\lt50%$, and $b\ge50%$.). Since here I do not compare FLANDERS with other defence baselines, all attacks are grouped into the same plot. ****Datasets:**** MNIST, Income From 552f3e3a62f9b565727070e167bc6697006760fd Mon Sep 17 00:00:00 2001 From: edogab33 Date: Thu, 21 Dec 2023 13:43:43 +0100 Subject: [PATCH 26/91] Remove prints, add logs --- baselines/flanders/flanders/attacks.py | 4 +--- baselines/flanders/flanders/server.py | 23 ++++++++++++----------- baselines/flanders/flanders/strategy.py | 14 ++++++++------ 3 files changed, 21 insertions(+), 20 deletions(-) diff --git a/baselines/flanders/flanders/attacks.py b/baselines/flanders/flanders/attacks.py index 75277b1899e1..947952d986c5 100644 --- a/baselines/flanders/flanders/attacks.py +++ b/baselines/flanders/flanders/attacks.py @@ -67,9 +67,7 @@ def lie_attack( s = math.floor((n / 2) + 1) - m # number of supporters z_max = norm.cdf((n - m - s) / (n - m)) - print(f"z_max: {z_max}") - print(f"n: {n}, m: {m}, s: {s}") - + for proxy, fitres in ordered_results: if states[fitres.metrics["cid"]]: mul_std = [layer * z_max for layer in grads_stdev] diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index 2d519b3c105f..d95b52d16ba6 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -20,6 +20,7 @@ Scalar, parameters_to_ndarrays, ) + from flwr.common.logger import log from flwr.server.client_proxy import ClientProxy @@ -183,7 +184,7 @@ def fit_round( size = self.num_malicious if self.warmup_rounds > server_round: size = 0 - print(f"fit_round - Selecting {size} malicious clients") + log(INFO, f"Selecting {size} malicious clients") self.malicious_lst = np.random.choice( [proxy.cid for proxy, _ in client_instructions], size=size, replace=False ) @@ -201,7 +202,7 @@ def fit_round( ins.config["malicious"] = False for proxy, ins in client_instructions: - print(f"fit_round - Client {proxy.cid} malicious: {ins.config['malicious']}") + log(INFO, f"Client {proxy.cid} malicious: {ins.config['malicious']}") # Collect `fit` results from all clients participating in this round results, failures = fit_clients( client_instructions=client_instructions, @@ -232,11 +233,11 @@ def fit_round( params = params[self.params_indexes] - print(f"fit_round 1 - Saving parameters of client {fitres.metrics['cid']} with shape {params.shape}") + log(INFO, f"Saving parameters of client {fitres.metrics['cid']} with shape {params.shape}") save_params(params, fitres.metrics['cid'], dir=self.history_dir) # Re-arrange results in the same order as clients' cids impose - print("fit_round - Re-arranging results in the same order as clients' cids impose") + log(INFO, "Re-arranging results in the same order as clients' cids impose") ordered_results[int(fitres.metrics['cid'])] = (proxy, fitres) # Initialize aggregated_parameters if it is the first round @@ -249,7 +250,7 @@ def fit_round( # Apply attack function # the server simulates an attacker that controls a fraction of the clients if self.attack_fn is not None and server_round > self.warmup_rounds: - print("fit_round - Applying attack function") + log(INFO, "Applying attack function") results, others = self.attack_fn( ordered_results, clients_state, omniscent=self.omniscent, magnitude=self.magnitude, w_re=self.aggregated_parameters, malicious_selected=self.malicious_selected, @@ -266,7 +267,7 @@ def fit_round( params = flatten_params(parameters_to_ndarrays(fitres.parameters))[self.params_indexes] else: params = flatten_params(parameters_to_ndarrays(fitres.parameters)) - print(f"fit_round 2 - Saving parameters of client {fitres.metrics['cid']} with shape {params.shape}") + log(INFO, f"Saving parameters of client {fitres.metrics['cid']} with shape {params.shape}") save_params(params, fitres.metrics['cid'], dir=self.history_dir, remove_last=True) else: results = ordered_results @@ -274,16 +275,16 @@ def fit_round( # Sort clients states clients_state = {k: clients_state[k] for k in sorted(clients_state)} - print(f"fit_round - Clients state: {clients_state}") + log(INFO, f"Clients state: {clients_state}") # Aggregate training results - print("fit_round - Aggregating training results") + log(INFO, "fit_round - Aggregating training results") aggregated_result = self.strategy.aggregate_fit(server_round, results, failures, clients_state) parameters_aggregated, metrics_aggregated, good_clients_idx, malicious_clients_idx = aggregated_result - print(f"fit_round - Malicious clients: {malicious_clients_idx}") + log(INFO, f"Malicious clients: {malicious_clients_idx}") - print(f"aggregate_fit - clients_state: {clients_state}") + log(INFO, f"clients_state: {clients_state}") for idx in good_clients_idx: if clients_state[str(idx)]: self.malicious_selected = True @@ -294,7 +295,7 @@ def fit_round( # For clients detected as malicious, set their parameters to be the averaged ones in their files # otherwise the forecasting in next round won't be reliable if self.warmup_rounds > server_round: - print(f"fit_round - Saving parameters of clients") + log(INFO, f"Saving parameters of clients") for idx in malicious_clients_idx: if self.sampling > 0: new_params = flatten_params(parameters_to_ndarrays(parameters_aggregated))[self.params_indexes] diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index 85b48bf26782..ed8a900aaad5 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -1,4 +1,6 @@ import numpy as np +from logging import INFO +from flwr.common.logger import log from typing import Callable, Dict, List, Optional, Tuple, Union from flwr.server.strategy.fedavg import FedAvg @@ -152,21 +154,21 @@ def aggregate_fit( M_hat = M[:,:,-1].copy() pred_step = 1 - print(f"aggregate_fit - Computing MAR on M {M.shape}") + log(INFO, f"Computing MAR on M {M.shape}") Mr = mar(M[:,:,:-1], pred_step, maxiter=self.maxiter, alpha=self.alpha, beta=self.beta) - print("aggregate_fit - Computing anomaly scores") + log(INFO, "Computing anomaly scores") anomaly_scores = self.distance_function(M_hat, Mr[:,:,0]) - print(f"aggregate_fit - Anomaly scores: {anomaly_scores}") + log(INFO, f"Anomaly scores: {anomaly_scores}") - print("aggregate_fit - Selecting good clients") + log(INFO, "Selecting good clients") good_clients_idx = sorted(np.argsort(anomaly_scores)[:self.to_keep]) malicious_clients_idx = sorted(np.argsort(anomaly_scores)[self.to_keep:]) results = np.array(results)[good_clients_idx].tolist() - print(f"aggregate_fit - Good clients: {good_clients_idx}") + log(INFO, f"Good clients: {good_clients_idx}") # Apply FedAvg for the remaining clients - print("aggregate_fit - Applying FedAvg for the remaining clients") + log(INFO, "Applying FedAvg for the remaining clients") parameters_aggregated, metrics_aggregated = super().aggregate_fit(server_round, results, failures) else: # Apply FedAvg on every clients' params during the first round From 9f790dd1b1c1d72601fc11135bc8e1eaef3672d7 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Thu, 21 Dec 2023 13:51:29 +0100 Subject: [PATCH 27/91] Update readme --- baselines/flanders/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/baselines/flanders/README.md b/baselines/flanders/README.md index b19433be9555..5d7137990425 100644 --- a/baselines/flanders/README.md +++ b/baselines/flanders/README.md @@ -95,7 +95,7 @@ python -m flanders.main dataset=income server.attack_fn=lie server.num_malicious Finally, to run multiple custom experiments: ```bash -python -m flanders.main --multirun dataset=income,mnist server.attack_fn=gaussian,lie,fang,minmax server.num_malicious=0,1,2,3,4,5 +python -m flanders.main --multirun dataset=income,mnist,house,cifar server.attack_fn=gaussian,lie,fang,minmax server.num_malicious=0,1,2,3,4,5 ``` From ca5efc7c5cbbeb2eb5dfc07d47428c1eed462483 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Thu, 21 Dec 2023 16:48:45 +0100 Subject: [PATCH 28/91] Fix output dir, code docs, cleaning --- baselines/flanders/flanders/main.py | 8 +++- baselines/flanders/flanders/server.py | 34 +++++++++++-- baselines/flanders/flanders/strategy.py | 51 ++++++++++++++++---- baselines/flanders/flanders/utils.py | 63 +++++-------------------- 4 files changed, 93 insertions(+), 63 deletions(-) diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 39161d1483a6..d82837a08818 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -7,6 +7,7 @@ # feel free to remove some if aren't needed import hydra from hydra.utils import instantiate +from hydra.core.hydra_config import HydraConfig from omegaconf import DictConfig, OmegaConf @@ -73,10 +74,13 @@ def main(cfg: DictConfig) -> None: "income": (IncomeClient, income_evaluate) } - # Delete old client_params and clients_predicted_params + # Delete old client_params if os.path.exists(cfg.server.history_dir): shutil.rmtree(cfg.server.history_dir) + # Output directory for results + save_path = HydraConfig.get().runtime.output_dir + dataset_name = cfg.dataset attack_fn = cfg.server.attack_fn num_malicious = cfg.server.num_malicious @@ -145,11 +149,13 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): dataset_name=dataset_name, threshold=cfg.server.threshold, omniscent=cfg.server.omniscent, + output_dir=save_path, ), config=fl.server.ServerConfig(num_rounds=cfg.server.num_rounds), strategy=strategy ) + def fit_config(server_round: int) -> Dict[str, Scalar]: """Return a configuration with static batch size and (local) epochs.""" config = { diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index d95b52d16ba6..084e8874737a 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -57,10 +57,37 @@ def __init__( sampling: int = 0, history_dir: str = "clients_params", omniscent: bool = True, + output_dir: str = "results", *args: Any, **kwargs: Any ) -> None: - """Initialize.""" + """Create a new EnhancedServer instance. + + Parameters + ---------- + num_malicious : int + Number of malicious clients + warmup_rounds : int + Number of warmup rounds + attack_fn : Callable + Attack function to be used + dataset_name : str + Name of the dataset + threshold : float, optional + Threshold used by the attacks, by default 0.0 + to_keep : int, optional + Number of clients to keep (i.e., to classify as "good"), by default 1 + magnitude : float, optional + Magnitude of the Gaussian attack, by default 0.0 + sampling : int, optional + Number of parameters to sample, by default 0 + history_dir : str, optional + Directory where to save the parameters, by default "clients_params" + omniscent : bool, optional + Whether to use the omniscent attack, by default True + output_dir : str, optional + Directory where to save the results, by default "results" + """ super().__init__(*args, **kwargs) self.num_malicious = num_malicious @@ -77,6 +104,7 @@ def __init__( self.old_lambda = 0.0 self.to_keep = to_keep self.omniscent = omniscent + self.output_dir = f"{output_dir}/outputs" # pylint: disable=too-many-locals @@ -89,7 +117,7 @@ def fit(self, num_rounds: int, timeout: Optional[float]) -> History: self.parameters = self._get_initial_parameters(timeout=timeout) log(INFO, "Evaluating initial parameters") config = {"num_malicious": self.num_malicious, "attack_fn": self.attack_fn, "dataset_name": self.dataset_name} - res = self.strategy.evaluate(0, parameters=self.parameters, config=config) + res = self.strategy.evaluate(0, parameters=self.parameters, config=config, output_dir=self.output_dir) if res is not None: log( INFO, @@ -119,7 +147,7 @@ def fit(self, num_rounds: int, timeout: Optional[float]) -> History: ) # Evaluate model using strategy implementation - res_cen = self.strategy.evaluate(current_round, parameters=self.parameters, config=config) + res_cen = self.strategy.evaluate(current_round, parameters=self.parameters, config=config, output_dir=self.output_dir) if res_cen is not None: loss_cen, metrics_cen = res_cen log( diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index ed8a900aaad5..a2a20659ee09 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -51,20 +51,55 @@ def __init__( initial_parameters: Optional[Parameters] = None, fit_metrics_aggregation_fn: Optional[MetricsAggregationFn] = None, evaluate_metrics_aggregation_fn: Optional[MetricsAggregationFn] = None, - dataset_name: str = "mnist", - warmup_rounds: int = 1, to_keep: int = 1, window: int = 0, maxiter: int = 100, alpha: float = 1, beta: float = 1, distance_function: Callable = None, + output_dir: str = "results", ) -> None: - """ + """Aggregation function based on MAR. + Take a look at the paper for more details about the parameters. + Parameters ---------- - fraction_malicious : float, otional - Fraction of malicious clients. Defaults to 0. + fraction_fit : float, optional + Fraction of clients used during the fit phase, by default 1.0 + fraction_evaluate : float, optional + Fraction of clients used during the evaluate phase, by default 1.0 + min_fit_clients : int, optional + Minimum number of clients used during the fit phase, by default 2 + min_evaluate_clients : int, optional + Minimum number of clients used during the evaluate phase, by default 2 + min_available_clients : int, optional + Minimum number of clients available for training and evaluation, by default 2 + evaluate_fn : Optional[Callable[[int, NDArrays, Dict[str, Scalar]], Optional[Tuple[float, Dict[str, Scalar]]]]], optional + Evaluation function, by default None + on_fit_config_fn : Optional[Callable[[int], Dict[str, Scalar]]], optional + Function to generate the config fed to the clients during the fit phase, by default None + on_evaluate_config_fn : Optional[Callable[[int], Dict[str, Scalar]]], optional + Function to generate the config fed to the clients during the evaluate phase, by default None + accept_failures : bool, optional + Whether to accept failures from clients, by default True + initial_parameters : Optional[Parameters], optional + Initial model parameters, by default None + fit_metrics_aggregation_fn : Optional[MetricsAggregationFn], optional + Function to aggregate metrics during the fit phase, by default None + evaluate_metrics_aggregation_fn : Optional[MetricsAggregationFn], optional + Function to aggregate metrics during the evaluate phase, by default None + to_keep : int, optional + Number of clients to keep (i.e., to classify as "good"), by default 1 + window : int, optional + Sliding window size used as a "training set" of MAR, by default 0 + maxiter : int, optional + Maximum number of iterations of MAR, by default 100 + alpha : float, optional + Alpha parameter (regularization), by default 1 + beta : float, optional + Beta parameter (regularization), by default 1 + distance_function : Callable, optional + Distance function used to compute the distance between predicted params and real ones, by default None """ super().__init__( @@ -81,8 +116,6 @@ def __init__( fit_metrics_aggregation_fn = fit_metrics_aggregation_fn, evaluate_metrics_aggregation_fn = evaluate_metrics_aggregation_fn ) - self.dataset_name = dataset_name - self.warmup_rounds = warmup_rounds self.to_keep = to_keep self.window = window self.maxiter = maxiter @@ -178,13 +211,13 @@ def aggregate_fit( def evaluate( - self, server_round: int, parameters: Parameters, config: Dict[str, Scalar] + self, server_round: int, parameters: Parameters, config: Dict[str, Scalar], output_dir: str ) -> Optional[Tuple[float, Dict[str, Scalar]]]: if self.evaluate_fn is None: # No evaluation function provided return None - eval_res = self.evaluate_fn(server_round, parameters_to_ndarrays(parameters), config) + eval_res = self.evaluate_fn(server_round, parameters_to_ndarrays(parameters), config, output_dir) if eval_res is None: return None loss, metrics = eval_res diff --git a/baselines/flanders/flanders/utils.py b/baselines/flanders/flanders/utils.py index f0c6d11a1ef6..44520884d36c 100644 --- a/baselines/flanders/flanders/utils.py +++ b/baselines/flanders/flanders/utils.py @@ -75,40 +75,20 @@ def save_params(parameters, cid, dir="clients_params", remove_last=False, rrl=Fa new_params = old_params[-1] # add new parameters new_params = np.vstack((old_params, new_params)) - print(f"new_params shape of {cid}: {new_params.shape}") - # save parameters - np.save(path_file, new_params) - -def save_predicted_params(parameters, cid): - """ - Args: - - parameters (ndarray): decoded parameters to append at the end of the file - - cid (int): identifier of the client - """ - new_params = parameters - # Save parameters in client_params/cid_params - path = f"strategy/clients_predicted_params/{cid}_params.npy" - if os.path.exists("strategy/clients_predicted_params") == False: - os.mkdir("strategy/clients_predicted_params") - if os.path.exists(path): - # load old parameters - old_params = np.load(path, allow_pickle=True) - # add new parameters - new_params = np.vstack((old_params, new_params)) # save parameters - np.save(path, new_params) + np.save(path_file, new_params) -def save_results(loss, accuracy, config=None): +def save_results(loss, accuracy, config=None, output_dir="results"): # Generate csv config["accuracy"] = accuracy config["loss"] = loss df = pd.DataFrame.from_records([config]) - csv_path = "results/all_results.csv" + csv_path = f"{output_dir}/all_results.csv" # check that dir exists - if os.path.exists("results") == False: - os.mkdir("results") + if os.path.exists(output_dir) == False: + os.mkdir(output_dir) # Lock is needed when multiple clients are running concurrently with lock: if os.path.exists(csv_path): @@ -134,22 +114,6 @@ def load_all_time_series(dir="clients_params", window=0): return np.array(data)[:,-window:,:] -def load_time_series(dir="", cid=0): - """ - Load time series of client cid in order to have a matrix of shape (T,n) - where: - - T := time; - - n := number of parameters - """ - files = os.listdir(dir) - files.sort() - data = [] - for file in files: - if file == f"{cid}_params.npy": - data = np.load(os.path.join(dir, file), allow_pickle=True) - return np.array(data) - - def flatten_params(params): """ Transform a list of (layers-)parameters into a single vector of shape (n). @@ -172,7 +136,7 @@ def evaluate_aggregated( return loss, metrics def mnist_evaluate( - server_round: int, parameters: NDArrays, config: Dict[str, Scalar] + server_round: int, parameters: NDArrays, config: Dict[str, Scalar], output_dir: str ): # determine device device = torch.device("cpu") @@ -187,14 +151,13 @@ def mnist_evaluate( config["round"] = server_round config["auc"] = auc - save_results(loss, accuracy, config=config) - print(f"Round {server_round} accuracy: {accuracy} loss: {loss} auc: {auc}") + save_results(loss, accuracy, config=config, output_dir=output_dir) return loss, {"accuracy": accuracy, "auc": auc} def cifar_evaluate( - server_round: int, parameters: NDArrays, config: Dict[str, Scalar] + server_round: int, parameters: NDArrays, config: Dict[str, Scalar], output_dir: str ) -> Optional[Tuple[float, float]]: device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") @@ -208,14 +171,14 @@ def cifar_evaluate( config["round"] = server_round config["auc"] = auc - save_results(loss, accuracy, config=config) + save_results(loss, accuracy, config=config, output_dir=output_dir) # return statistics return loss, {"accuracy": accuracy, "auc": auc} def income_evaluate( - server_round: int, parameters: NDArrays, config: Dict[str, Scalar] + server_round: int, parameters: NDArrays, config: Dict[str, Scalar], output_dir: str ) -> Optional[Tuple[float, float]]: model = LogisticRegression() model = set_sklearn_model_params(model, parameters) @@ -231,13 +194,13 @@ def income_evaluate( config["round"] = server_round config["auc"] = auc - save_results(loss, accuracy, config=config) + save_results(loss, accuracy, config=config, output_dir=output_dir) return loss, {"accuracy": accuracy, "auc": auc} def house_evaluate( - server_round: int, parameters: NDArrays, config: Dict[str, Scalar] + server_round: int, parameters: NDArrays, config: Dict[str, Scalar], output_dir: str ) -> Optional[Tuple[float, float]]: model = ElasticNet(alpha=1, warm_start=True) model = set_sklearn_model_params(model, parameters) @@ -251,6 +214,6 @@ def house_evaluate( arsq = 1 - (1-rsq) * (len(y_test)-1)/(len(y_test)-x_test.shape[1]-1) config["round"] = server_round config["auc"] = mape - save_results(loss, arsq, config=config) + save_results(loss, arsq, config=config, output_dir=output_dir) return loss, {"Adj-R2": arsq, "MAPE": mape} \ No newline at end of file From 97e6c621d7b9a768c762ccda248bddb26852feef Mon Sep 17 00:00:00 2001 From: edogab33 Date: Fri, 22 Dec 2023 12:20:23 +0100 Subject: [PATCH 29/91] Formatting --- baselines/flanders/flanders/attacks.py | 362 ++++++++++++------ baselines/flanders/flanders/client.py | 139 +++++-- baselines/flanders/flanders/dataset.py | 146 ++++--- .../flanders/flanders/dataset_preparation.py | 105 ++--- baselines/flanders/flanders/main.py | 98 ++--- baselines/flanders/flanders/models.py | 52 ++- baselines/flanders/flanders/server.py | 175 +++++---- baselines/flanders/flanders/strategy.py | 188 +++++---- baselines/flanders/flanders/utils.py | 140 ++++--- 9 files changed, 872 insertions(+), 533 deletions(-) diff --git a/baselines/flanders/flanders/attacks.py b/baselines/flanders/flanders/attacks.py index 947952d986c5..5963cac8aa23 100644 --- a/baselines/flanders/flanders/attacks.py +++ b/baselines/flanders/flanders/attacks.py @@ -1,35 +1,55 @@ +"""Implementation of attacks used in the paper.""" + import math -import numpy as np from typing import Dict, List, Tuple + +import numpy as np from flwr.common import ( - ndarrays_to_parameters, - parameters_to_ndarrays, FitRes, - Parameters, - NDArrays, NDArray, + NDArrays, + ndarrays_to_parameters, + parameters_to_ndarrays, ) from flwr.server.client_proxy import ClientProxy from scipy.stats import norm def no_attack( - ordered_results:List[Tuple[ClientProxy, FitRes]], - states:Dict[str, bool], - **kwargs - ) -> List[Tuple[ClientProxy, FitRes]]: + ordered_results: List[Tuple[ClientProxy, FitRes]], states: Dict[str, bool], **kwargs +) -> List[Tuple[ClientProxy, FitRes]]: + """No attack.""" return ordered_results, {} + def gaussian_attack( - ordered_results:List[Tuple[ClientProxy, FitRes]], - states:Dict[str, bool], - **kwargs - ) -> List[Tuple[ClientProxy, FitRes]]: + ordered_results: List[Tuple[ClientProxy, FitRes]], states: Dict[str, bool], **kwargs +) -> List[Tuple[ClientProxy, FitRes]]: + """Apply Gaussian attack on parameters. + + Parameters + ---------- + ordered_results : List[Tuple[ClientProxy, FitRes]] + List of tuples (client_proxy, fit_result) ordered by client id. + states : Dict[str, bool] + Dictionary of client ids and their states (True if malicious, False otherwise). + magnitude : float + Magnitude of the attack. + dataset_name : str + Name of the dataset. + + Returns + ------- + results : List[Tuple[ClientProxy, FitRes]] + List of tuples (client_proxy, fit_result) ordered by client id. + """ magnitude = kwargs.get("magnitude", 0.0) dataset_name = kwargs.get("dataset_name", "no name") results = ordered_results.copy() - perturbate = lambda a: a + np.random.normal(loc=0, scale=magnitude, size=len(a)) - + + def perturbate(a): + return a + np.random.normal(loc=0, scale=magnitude, size=len(a)) + for proxy, fitres in ordered_results: if states[fitres.metrics["cid"]]: params = parameters_to_ndarrays(fitres.parameters) @@ -40,17 +60,31 @@ def gaussian_attack( for p in params: new_params.append(np.apply_along_axis(perturbate, 0, p)) fitres.parameters = ndarrays_to_parameters(new_params) - results[int(fitres.metrics['cid'])] = (proxy, fitres) + results[int(fitres.metrics["cid"])] = (proxy, fitres) return results, {} + def lie_attack( - ordered_results:List[Tuple[ClientProxy, FitRes]], - states:Dict[str, bool], - omniscent:bool=True, - **kwargs - ) -> List[Tuple[ClientProxy, FitRes]]: - """ - Implementation of Omniscent LIE attack, Baruch et al. (2019) + ordered_results: List[Tuple[ClientProxy, FitRes]], + states: Dict[str, bool], + omniscent: bool = True, + **kwargs, +) -> List[Tuple[ClientProxy, FitRes]]: + """Apply Omniscent LIE attack, Baruch et al. (2019) on parameters. + + Parameters + ---------- + ordered_results : List[Tuple[ClientProxy, FitRes]] + List of tuples (client_proxy, fit_result) ordered by client id. + states : Dict[str, bool] + Dictionary of client ids and their states (True if malicious, False otherwise). + omniscent : bool + Whether the attacker knows the local models of all clients or not. + + Returns + ------- + results : List[Tuple[ClientProxy, FitRes]] + List of tuples (client_proxy, fit_result) ordered by client id. """ results = ordered_results.copy() params = [parameters_to_ndarrays(fitres.parameters) for _, fitres in results] @@ -58,60 +92,84 @@ def lie_attack( grads_stdev = [np.std(layer, axis=0) ** 0.5 for layer in zip(*params)] if not omniscent: - # if not omniscent, the attacker doesn't know the + # if not omniscent, the attacker doesn't know the # local models of all clients, but only of the corrupted ones - params = [params[i] for i in range(len(params)) if states[results[i][1].metrics["cid"]]] + params = [ + params[i] + for i in range(len(params)) + if states[results[i][1].metrics["cid"]] + ] - n = len(ordered_results) # number of clients - m = sum(val == True for val in states.values()) # number of corrupted clients - s = math.floor((n / 2) + 1) - m # number of supporters + n = len(ordered_results) # number of clients + m = sum(val is True for val in states.values()) # number of corrupted clients + s = math.floor((n / 2) + 1) - m # number of supporters z_max = norm.cdf((n - m - s) / (n - m)) - + for proxy, fitres in ordered_results: if states[fitres.metrics["cid"]]: mul_std = [layer * z_max for layer in grads_stdev] new_params = [grads_mean[i] - mul_std[i] for i in range(len(grads_mean))] fitres.parameters = ndarrays_to_parameters(new_params) - results[int(fitres.metrics['cid'])] = (proxy, fitres) + results[int(fitres.metrics["cid"])] = (proxy, fitres) return results, {} + def fang_attack( - ordered_results:List[Tuple[ClientProxy, FitRes]], - states:Dict[str, bool], - omniscent:bool=True, - **kwargs - ) -> List[Tuple[ClientProxy, FitRes]]: - """ - Implemetation of Local Model Poisoning Attacks to Byzantine-Robust Federated Learning, Fang et al. (2020) - Specifically designed for Krum, but they claim it works for other aggregation functions as well. + ordered_results: List[Tuple[ClientProxy, FitRes]], + states: Dict[str, bool], + omniscent: bool = True, + **kwargs, +) -> List[Tuple[ClientProxy, FitRes]]: + """Apply Local Model Poisoning Attacks. + + (Fang et al. (2020)) + Specifically designed for Krum, but they claim it works for other + aggregation functions as well. Full-knowledge version (attackers knows the local models of all clients). - Input: - ordered_results - list of tuples (client_proxy, fit_result) ordered by client id - states - dictionary of client ids and their states (True if malicious, False otherwise) - magnitude - magnitude of the attack - d - number of parameters - w_re - selected model - old_lambda - lambda value - threshold - threshold for lambda - malicious_selected - whether the malicious client was selected or not + Parameters + ---------- + ordered_results : List[Tuple[ClientProxy, FitRes]] + List of tuples (client_proxy, fit_result) ordered by client id. + states : Dict[str, bool] + Dictionary of client ids and their states (True if malicious, False + otherwise). + omniscent : bool + Whether the attacker knows the local models of all clients or not. + d : int + Number of parameters. + w_re : ndarray + The received global model. + old_lambda : float + The lambda from the previous round. + threshold : float + The threshold for lambda. + malicious_selected : bool + Whether the attacker was selected as malicious in the previous round. + + Returns + ------- + results : List[Tuple[ClientProxy, FitRes]] + List of tuples (client_proxy, fit_result) ordered by client id. """ - d = kwargs.get("d", 1) - w_re = kwargs.get("w_re", None) # the received global model + w_re = kwargs.get("w_re", None) # the received global model old_lambda = kwargs.get("old_lambda", 0.0) threshold = kwargs.get("threshold", 0.0) malicious_selected = kwargs.get("malicious_selected", False) if not omniscent: - # if not omniscent, the attacker doesn't know the + # if not omniscent, the attacker doesn't know the # local models of all clients, but only of the corrupted ones - ordered_results = [ordered_results[i] for i in range(len(ordered_results)) if states[ordered_results[i][1].metrics["cid"]]] + ordered_results = [ + ordered_results[i] + for i in range(len(ordered_results)) + if states[ordered_results[i][1].metrics["cid"]] + ] - - n = len(ordered_results) # number of clients - c = sum(val == True for val in states.values()) # number of corrupted clients + n = len(ordered_results) # number of clients + c = sum(val is True for val in states.values()) # number of corrupted clients if c < 2: # there can't be an attack with less than 2 malicious clients # to avoid division by 0 @@ -121,7 +179,8 @@ def fang_attack( if old_lambda == 0: benign = [ (parameters_to_ndarrays(fitres.parameters), fitres.num_examples) - for _, fitres in ordered_results if states[fitres.metrics["cid"]] == False + for _, fitres in ordered_results + if states[fitres.metrics["cid"]] is False ] all = [ (parameters_to_ndarrays(fitres.parameters), fitres.num_examples) @@ -130,9 +189,11 @@ def fang_attack( # Compute the smallest distance that Krum would choose _, _, _, distances = _krum(all, c, 1) - idx_benign = [int(cid) for cid in states.keys() if states[cid]==False] - - min_dist = np.min(np.array(distances)[idx_benign]) / ((n - 2*c - 1)*np.sqrt(d)) + idx_benign = [int(cid) for cid in states.keys() if states[cid] is False] + + min_dist = np.min(np.array(distances)[idx_benign]) / ( + (n - 2 * c - 1) * np.sqrt(d) + ) # Compute max distance from w_re dist_wre = np.zeros((len(benign))) @@ -144,46 +205,72 @@ def fang_attack( dist_wre[i] = norm_sums**2 max_dist = np.max(dist_wre) / np.sqrt(d) - l = min_dist + max_dist # lambda + curr_lambda = min_dist + max_dist # lambda else: # lambda halving search - l = old_lambda - if old_lambda > threshold and malicious_selected == False: - l = old_lambda * 0.5 + curr_lambda = old_lambda + if old_lambda > threshold and malicious_selected is False: + curr_lambda = old_lambda * 0.5 # Compute sign vector s magnitude = [] for i in range(len(w_re)): - magnitude.append(np.sign(w_re[i]) * l) + magnitude.append(np.sign(w_re[i]) * curr_lambda) - w_1 = [w_re[i] - magnitude[i] for i in range(len(w_re))] # corrupted model + w_1 = [w_re[i] - magnitude[i] for i in range(len(w_re))] # corrupted model corrupted_params = ndarrays_to_parameters(w_1) # Set corrupted clients' updates to w_1 - results =[ + results = [ ( - proxy, - FitRes(fitres.status, parameters=corrupted_params, num_examples=fitres.num_examples, metrics=fitres.metrics) - ) if states[fitres.metrics["cid"]] else (proxy, fitres) + proxy, + FitRes( + fitres.status, + parameters=corrupted_params, + num_examples=fitres.num_examples, + metrics=fitres.metrics, + ), + ) + if states[fitres.metrics["cid"]] + else (proxy, fitres) for proxy, fitres in ordered_results ] - return results, {"lambda": l} + return results, {"lambda": curr_lambda} + def minmax_attack( - ordered_results:List[Tuple[ClientProxy, FitRes]], - states:Dict[str, bool], - omniscent:bool=True, - **kwargs - ) -> List[Tuple[ClientProxy, FitRes]]: - """ - Implementation of Min-Max agnostic (O == True according to the heuristic) - attack (full-knowledge, perturbation function chosen according to our - experimental results). - - From: - "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses for Federated Learning" - (Shejwalkar et al., 2021) + ordered_results: List[Tuple[ClientProxy, FitRes]], + states: Dict[str, bool], + omniscent: bool = True, + **kwargs, +) -> List[Tuple[ClientProxy, FitRes]]: + """Apply Min-Max agnostic attack. + + Full-knowledge, perturbation function chosen according to our experimental + results. + From: + "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and + Defenses for Federated Learning" (Shejwalkar et al., 2021) + + Parameters + ---------- + ordered_results : List[Tuple[ClientProxy, FitRes]] + List of tuples (client_proxy, fit_result) ordered by client id. + states : Dict[str, bool] + Dictionary of client ids and their states (True if malicious, False + otherwise). + omniscent : bool + Whether the attacker knows the local models of all clients or not. + threshold : float + Threshold for lambda. + lambda_init : float + Initial value for lambda. + + Returns + ------- + results : List[Tuple[ClientProxy, FitRes]] + List of tuples (client_proxy, fit_result) ordered by client id. """ dataset_name = kwargs.get("dataset_name", None) threshold = kwargs.get("threshold", 1e-5) @@ -195,10 +282,13 @@ def minmax_attack( params_avg = [np.mean(param, axis=0) for param in zip(*params)] if not omniscent: - # if not omniscent, the attacker doesn't know the + # if not omniscent, the attacker doesn't know the # local models of all clients, but only of the corrupted ones - results = [results[i] for i in range(len(results)) if states[results[i][1].metrics["cid"]]] - + results = [ + results[i] + for i in range(len(results)) + if states[results[i][1].metrics["cid"]] + ] # Decide what perturbation to use according to the # results presented in the paper. @@ -214,27 +304,48 @@ def minmax_attack( # Apply std perturbation perturbation_vect = [-np.std(layer, axis=0) for layer in zip(*params)] - # Compute lambda (referred as gamma in the paper) lambda_succ = lambda_init + 1 - l = lambda_init + curr_lambda = lambda_init step = lambda_init * 0.5 - while abs(lambda_succ - l) > threshold and step > threshold and malicious_num > 0: + while ( + abs(lambda_succ - curr_lambda) > threshold + and step > threshold + and malicious_num > 0 + ): # Compute malicious gradients - pv = [l * perturbation_vect[i] for i in range(len(perturbation_vect))] + pv = [curr_lambda * perturbation_vect[i] for i in range(len(perturbation_vect))] corrupted_params = [params_avg[i] + pv[i] for i in range(len(params_avg))] # Set corrupted clients' updates to corrupted_params - params_c = [corrupted_params if states[i] else params[i] for i in range(len(params))] + params_c = [ + corrupted_params if states[i] else params[i] for i in range(len(params)) + ] M = _compute_distances(params_c) # Remove from matrix M all malicious clients in both rows and columns - M_b = np.delete(M, [i for i in range(len(M)) if states[results[i][1].metrics["cid"]]], axis=0) - M_b = np.delete(M_b, [i for i in range(len(M)) if states[results[i][1].metrics["cid"]]], axis=1) + M_b = np.delete( + M, + [i for i in range(len(M)) if states[results[i][1].metrics["cid"]]], + axis=0, + ) + M_b = np.delete( + M_b, + [i for i in range(len(M)) if states[results[i][1].metrics["cid"]]], + axis=1, + ) # Remove from M all benign clients on rows and all malicious on columns - M_m = np.delete(M, [i for i in range(len(M)) if not states[results[i][1].metrics["cid"]]], axis=0) - M_m = np.delete(M_m, [i for i in range(len(M)) if states[results[i][1].metrics["cid"]]], axis=1) + M_m = np.delete( + M, + [i for i in range(len(M)) if not states[results[i][1].metrics["cid"]]], + axis=0, + ) + M_m = np.delete( + M_m, + [i for i in range(len(M)) if states[results[i][1].metrics["cid"]]], + axis=1, + ) # Take the maximum distance between any benign client and any malicious one max_dist_m = np.max(M_m) @@ -245,43 +356,52 @@ def minmax_attack( # Compute lambda (best scaling coefficient) if max_dist_m < max_dist_b: # Lambda (gamma in the paper) is good. Save and try to increase it - lambda_succ = l - l = l + step * 0.5 + lambda_succ = curr_lambda + curr_lambda = curr_lambda + step * 0.5 else: # Lambda is to big, must be reduced to increse the chances of being selected - l = l - step * 0.5 + curr_lambda = curr_lambda - step * 0.5 step *= 0.5 # Compute the final malicious update - perturbation_vect = [lambda_succ * perturbation_vect[i] for i in range(len(perturbation_vect))] - corrupted_params = [params_avg[i] + perturbation_vect[i] for i in range(len(params_avg))] + perturbation_vect = [ + lambda_succ * perturbation_vect[i] for i in range(len(perturbation_vect)) + ] + corrupted_params = [ + params_avg[i] + perturbation_vect[i] for i in range(len(params_avg)) + ] corrupted_params = ndarrays_to_parameters(corrupted_params) for proxy, fitres in ordered_results: if states[fitres.metrics["cid"]]: fitres.parameters = corrupted_params - results[int(fitres.metrics['cid'])] = (proxy, fitres) - return results, {"lambda": l} + results[int(fitres.metrics["cid"])] = (proxy, fitres) + return results, {"lambda": curr_lambda} + def _krum(results: List[Tuple[List, int]], m: int, to_keep: int, num_closest=None): - """ - Get the best parameters vector according to the Krum function. + """Get the best parameters vector according to the Krum function. + Output: the best parameters vector. """ - weights = [w for w, _ in results] # list of weights - M = _compute_distances(weights) # matrix of distances + weights = [w for w, _ in results] # list of weights + M = _compute_distances(weights) # matrix of distances if not num_closest: - num_closest = len(weights) - m - 2 # number of closest points to use + num_closest = len(weights) - m - 2 # number of closest points to use if num_closest <= 0: num_closest = 1 elif num_closest > len(weights): num_closest = len(weights) - closest_indices = _get_closest_indices(M, num_closest) # indices of closest points - scores = [np.sum(M[i,closest_indices[i]]) for i in range(len(M))] # scores i->j for each i - - best_index = np.argmin(scores) # index of the best score - best_indices = np.argsort(scores)[::-1][len(scores)-to_keep:] # indices of best scores (multikrum) + closest_indices = _get_closest_indices(M, num_closest) # indices of closest points + scores = [ + np.sum(M[i, closest_indices[i]]) for i in range(len(M)) + ] # scores i->j for each i + + best_index = np.argmin(scores) # index of the best score + best_indices = np.argsort(scores)[::-1][ + len(scores) - to_keep : + ] # indices of best scores (multikrum) return weights[best_index], best_index, best_indices, scores @@ -300,16 +420,20 @@ def _compute_distances(weights: List[NDArrays]) -> NDArray: distance_matrix[i, j] = norm**2 return distance_matrix + def _get_closest_indices(M, num_closest: int) -> List[int]: - """ - Get the indices of the closest points. - Input: - M - matrix of squared distances between the vectors - num_closest - number of closest points to get for each parameter vector + """Get the indices of the closest points. + + Args: + M + matrix of distances + num_closest + number of closest points to get for each parameter vector Output: - closest_indices - list of lists of indices of the closest points for each parameter vector + closest_indices + list of lists of indices of the closest points for each vector. """ closest_indices = [] for i in range(len(M)): - closest_indices.append(np.argsort(M[i])[1:num_closest+1].tolist()) - return closest_indices \ No newline at end of file + closest_indices.append(np.argsort(M[i])[1 : num_closest + 1].tolist()) + return closest_indices diff --git a/baselines/flanders/flanders/client.py b/baselines/flanders/flanders/client.py index acfa09e3887c..73eaf5def8ba 100644 --- a/baselines/flanders/flanders/client.py +++ b/baselines/flanders/flanders/client.py @@ -1,36 +1,37 @@ -"""Define your client class and a function to construct such clients. +"""Clients implementation for Flanders.""" +from collections import OrderedDict +from pathlib import Path +from typing import Dict, List, Tuple, Union -Please overwrite `flwr.client.NumPyClient` or `flwr.client.Client` and create a function -to instantiate your client. -""" import flwr as fl -from flwr.common.typing import Scalar +import numpy as np import ray import torch -import numpy as np -from collections import OrderedDict -from typing import Dict, List, Union, Tuple -from pathlib import Path -from .dataset import get_mnist, get_dataloader -from .models import CifarNet, train_cifar, test_cifar, MnistNet, train_mnist, test_mnist -from sklearn.linear_model import LogisticRegression, ElasticNet +from flwr.common.typing import Scalar +from sklearn.linear_model import ElasticNet, LogisticRegression from sklearn.metrics import accuracy_score, log_loss +from .dataset import get_dataloader, get_mnist +from .models import CifarNet, MnistNet, test_cifar, test_mnist, train_cifar, train_mnist + XY = Tuple[np.ndarray, np.ndarray] LogRegParams = Union[XY, Tuple[np.ndarray]] + def get_params(model: torch.nn.ModuleList) -> List[np.ndarray]: """Get model weights as a list of NumPy ndarrays.""" return [val.cpu().numpy() for _, val in model.state_dict().items()] + def set_params(model: torch.nn.ModuleList, params: List[np.ndarray]): """Set model weights from a list of NumPy ndarrays.""" params_dict = zip(model.state_dict().keys(), params) state_dict = OrderedDict({k: torch.from_numpy(np.copy(v)) for k, v in params_dict}) model.load_state_dict(state_dict, strict=True) + def get_sklearn_model_params(model: LogisticRegression) -> LogRegParams: - """Returns the paramters of a sklearn LogisticRegression model.""" + """Return the paramters of a sklearn LogisticRegression model.""" if model.fit_intercept: params = [ model.coef_, @@ -42,41 +43,42 @@ def get_sklearn_model_params(model: LogisticRegression) -> LogRegParams: ] return params + def set_sklearn_model_params( model: LogisticRegression, params: LogRegParams ) -> LogisticRegression: - """Sets the parameters of a sklean LogisticRegression model.""" + """Set the parameters of a sklean LogisticRegression model.""" model.coef_ = params[0] if model.fit_intercept: model.intercept_ = params[1] return model + def set_initial_params_logistic_regr(model: LogisticRegression): - """ - Sets initial parameters as zeros. Required since model params are - uninitialized until model.fit is called. + """Set initial parameters as zeros. - Server asks for initial parameters from clients at launch. - Refer to sklearn.linear_model.LogisticRegression documentation for more - information. + Required since model params are uninitialized until model.fit is called. + + Server asks for initial parameters from clients at launch. Refer to + sklearn.linear_model.LogisticRegression documentation for more information. """ n_classes = 2 n_features = 14 - model.classes_ = np.array([i for i in range(n_classes)]) + model.classes_ = np.array(list(range(n_classes))) model.coef_ = np.zeros((n_classes, n_features)) if model.fit_intercept: model.intercept_ = np.zeros((n_classes,)) return model + def set_initial_params_linear_regr(model: ElasticNet): - """ - Sets initial parameters as zeros. Required since model params are - uninitialized until model.fit is called. + """Set initial parameters as zeros. - Server asks for initial parameters from clients at launch. - Refer to sklearn.linear_model.LinearRegression documentation for more - information. + Required since model params are uninitialized until model.fit is called. + + Server asks for initial parameters from clients at launch. Refer to + sklearn.linear_model.LinearRegression documentation for more information. """ n_features = 18 model.coef_ = np.zeros((n_features,)) @@ -87,7 +89,10 @@ def set_initial_params_linear_regr(model: ElasticNet): # Adapted from Pytorch quickstart example class MnistClient(fl.client.NumPyClient): + """Flower client implementing MNIST image classification using PyTorch.""" + def __init__(self, cid: str, pool_size: int): + """Instantiate a client for the MNIST dataset.""" self.cid = cid self.properties: Dict[str, Scalar] = {"tensor_type": "numpy.ndarray"} self.net = MnistNet() @@ -95,15 +100,24 @@ def __init__(self, cid: str, pool_size: int): self.pool_size = pool_size def get_parameters(self, config): + """Get model parameters as a list of NumPy ndarrays.""" return get_params(self.net) def fit(self, parameters, config): + """Set model parameters from a list of NumPy ndarrays.""" set_params(self.net, parameters) # Load data for this client and get trainloader num_workers = 1 - trainloader = get_mnist("flanders/datasets_files", 32, self.cid, nb_clients=self.pool_size, is_train=True, workers=num_workers) + trainloader = get_mnist( + "flanders/datasets_files", + 32, + self.cid, + nb_clients=self.pool_size, + is_train=True, + workers=num_workers, + ) # Send model to device self.net.to(self.device) @@ -114,14 +128,26 @@ def fit(self, parameters, config): new_parameters = self.get_parameters(config={}) # Return local model and statistics - return new_parameters, len(trainloader.dataset), {"malicious": config["malicious"], "cid": self.cid} + return ( + new_parameters, + len(trainloader.dataset), + {"malicious": config["malicious"], "cid": self.cid}, + ) def evaluate(self, parameters, config): + """Evaluate using local test dataset.""" set_params(self.net, parameters) # Load data for this client and get trainloader num_workers = len(ray.worker.get_resource_ids()["CPU"]) - testloader = get_mnist("flanders/datasets_files", 32, self.cid, nb_clients=self.pool_size, is_train=False, workers=num_workers) + testloader = get_mnist( + "flanders/datasets_files", + 32, + self.cid, + nb_clients=self.pool_size, + is_train=False, + workers=num_workers, + ) # Send model to device self.net.to(self.device) @@ -135,7 +161,10 @@ def evaluate(self, parameters, config): # Adapted from Pytorch quickstart example class CifarClient(fl.client.NumPyClient): + """Implementation of CIFAR-10 image classification using PyTorch.""" + def __init__(self, cid: str, fed_dir_data: str): + """Instantiate a client for the CIFAR-10 dataset.""" self.cid = cid self.fed_dir = Path(fed_dir_data) self.properties: Dict[str, Scalar] = {"tensor_type": "numpy.ndarray"} @@ -145,11 +174,14 @@ def __init__(self, cid: str, fed_dir_data: str): # Determine device self.device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") - #self.device = torch.device("mps") + # self.device = torch.device("mps") + def get_parameters(self, config): + """Get model parameters as a list of NumPy ndarrays.""" return get_params(self.net) def fit(self, parameters, config): + """Set model parameters from a list of NumPy ndarrays.""" set_params(self.net, parameters) # Load data for this client and get trainloader @@ -161,13 +193,18 @@ def fit(self, parameters, config): batch_size=config["batch_size"], workers=num_workers, ) - + self.net.to(self.device) train_cifar(self.net, trainloader, epochs=config["epochs"], device=self.device) - - return get_params(self.net), len(trainloader.dataset), {"malicious": config["malicious"], "cid": self.cid} + + return ( + get_params(self.net), + len(trainloader.dataset), + {"malicious": config["malicious"], "cid": self.cid}, + ) def evaluate(self, parameters, config): + """Evaluate using local test dataset.""" set_params(self.net, parameters) # Load data for this client and get trainloader @@ -183,8 +220,13 @@ def evaluate(self, parameters, config): class IncomeClient(fl.client.NumPyClient): + """Implementation income classification using scikit-learn.""" + def __init__(self, cid: str, x_train, y_train, x_test, y_test): - self.model = LogisticRegression(penalty="l1", solver="liblinear", max_iter=1, warm_start=True) + """Instantiate a client for the income dataset.""" + self.model = LogisticRegression( + penalty="l1", solver="liblinear", max_iter=1, warm_start=True + ) set_initial_params_logistic_regr(self.model) self.cid = cid self.x_train = x_train @@ -193,16 +235,23 @@ def __init__(self, cid: str, x_train, y_train, x_test, y_test): self.y_test = y_test def get_parameters(self, config: Dict[str, Scalar]): + """Get model parameters as a list of NumPy ndarrays.""" return get_sklearn_model_params(self.model) def fit(self, parameters, config): + """Set model parameters from a list of NumPy ndarrays.""" # Set scikit logistic regression model parameters self.model = set_sklearn_model_params(self.model, parameters) self.model.fit(self.x_train, self.y_train) new_parameters = get_sklearn_model_params(self.model) - return new_parameters, len(self.x_train), {"malicious": config["malicious"], "cid": self.cid} - + return ( + new_parameters, + len(self.x_train), + {"malicious": config["malicious"], "cid": self.cid}, + ) + def evaluate(self, parameters, config): + """Evaluate using local test dataset.""" # Set scikit logistic regression model parameters self.model = set_sklearn_model_params(self.model, parameters) y_pred = self.model.predict(self.x_test) @@ -212,7 +261,10 @@ def evaluate(self, parameters, config): class HouseClient(fl.client.NumPyClient): + """Implementation of house price prediction using scikit-learn.""" + def __init__(self, cid: str, x_train, y_train, x_test, y_test): + """Instantiate a client for the house dataset.""" self.model = ElasticNet(alpha=1, max_iter=1, warm_start=True) set_initial_params_linear_regr(self.model) self.cid = cid @@ -222,13 +274,20 @@ def __init__(self, cid: str, x_train, y_train, x_test, y_test): self.y_test = y_test def get_parameters(self, config: Dict[str, Scalar]): + """Get model parameters as a list of NumPy ndarrays.""" return get_sklearn_model_params(self.model) def fit(self, parameters, config): + """Set model parameters from a list of NumPy ndarrays.""" self.model = set_sklearn_model_params(self.model, parameters) self.model.fit(self.x_train, self.y_train) new_parameters = get_sklearn_model_params(self.model) - return new_parameters, len(self.x_train), {"malicious": config["malicious"], "cid": self.cid} - + return ( + new_parameters, + len(self.x_train), + {"malicious": config["malicious"], "cid": self.cid}, + ) + def evaluate(self, parameters, config): - raise NotImplementedError("HouseClient.evaluate not implemented") \ No newline at end of file + """Evaluate using local test dataset.""" + raise NotImplementedError("HouseClient.evaluate not implemented") diff --git a/baselines/flanders/flanders/dataset.py b/baselines/flanders/flanders/dataset.py index 62be78216ac9..3700bebef283 100644 --- a/baselines/flanders/flanders/dataset.py +++ b/baselines/flanders/flanders/dataset.py @@ -1,35 +1,45 @@ +"""Dataset utilities for FL experiments.""" + # Borrowed from adap/Flower examples +import shutil from pathlib import Path +from typing import Any, Callable, Optional, Tuple + import numpy as np import pandas as pd import torch -from torchvision import datasets, transforms -from torch.utils.data import DataLoader, SubsetRandomSampler -import shutil from PIL import Image +from sklearn import preprocessing +from sklearn.model_selection import train_test_split +from sklearn.preprocessing import OrdinalEncoder +from torch.utils.data import DataLoader, SubsetRandomSampler +from torchvision import datasets, transforms from torchvision.datasets import VisionDataset -from typing import Callable, Optional, Tuple, Any + from .dataset_preparation import create_lda_partitions -from sklearn.preprocessing import OrdinalEncoder -from sklearn.preprocessing import StandardScaler -from sklearn.model_selection import train_test_split -from sklearn import preprocessing -from sklearn.utils import check_random_state + class Data(torch.utils.data.Dataset): + """Dataset class.""" + def __init__(self, X, y): + """Initialize dataset.""" self.X = torch.from_numpy(X.astype(np.float32)) self.y = torch.from_numpy(y.astype(np.float32)) self.len = self.X.shape[0] - + def __getitem__(self, index): + """Return data and label pair.""" return self.X[index], self.y[index] - + def __len__(self): + """Return size of dataset.""" return self.len + def get_dataset(path_to_data: Path, cid: str, partition: str): + """Return TorchVision_FL dataset object.""" # generate path to cid's data path_to_data = path_to_data / cid / (partition + ".pt") @@ -39,8 +49,7 @@ def get_dataset(path_to_data: Path, cid: str, partition: str): def get_dataloader( path_to_data: str, cid: str, is_train: bool, batch_size: int, workers: int ): - """Generates trainset/valset object and returns appropiate dataloader.""" - + """Generate trainset/valset object and returns appropiate dataloader.""" partition = "train" if is_train else "val" dataset = get_dataset(Path(path_to_data), str(cid), partition) @@ -50,13 +59,13 @@ def get_dataloader( def get_random_id_splits(total: int, val_ratio: float, shuffle: bool = True): - """splits a list of length `total` into two following a - (1-val_ratio):val_ratio partitioning. + """Random split. - By default the indices are shuffled before creating the split and - returning. - """ + Split a list of length `total` into two following a (1-val_ratio):val_ratio + partitioning. + By default the indices are shuffled before creating the split and returning. + """ if isinstance(total, int): indices = list(range(total)) else: @@ -69,21 +78,27 @@ def get_random_id_splits(total: int, val_ratio: float, shuffle: bool = True): return indices[split:], indices[:split] -def do_fl_partitioning(path_to_dataset, pool_size, alpha, num_classes, val_ratio=0.0, seed=None): +def do_fl_partitioning( + path_to_dataset, pool_size, alpha, num_classes, val_ratio=0.0, seed=None +): """Torchvision (e.g. CIFAR-10) datasets using LDA.""" - images, labels = torch.load(path_to_dataset) idx = np.array(range(len(images))) dataset = [idx, labels] partitions, _ = create_lda_partitions( - dataset, num_partitions=pool_size, concentration=alpha, accept_imbalanced=True, seed=seed + dataset, + num_partitions=pool_size, + concentration=alpha, + accept_imbalanced=True, + seed=seed, ) # Show label distribution for first partition (purely informative) partition_zero = partitions[0][1] hist, _ = np.histogram(partition_zero, bins=list(range(num_classes + 1))) print( - f"Class histogram for 0-th partition (alpha={alpha}, {num_classes} classes): {hist}" + "Class histogram for 0-th partition" + f"(alpha={alpha}, {num_classes} classes): {hist}" ) # now save partitioned dataset to disk @@ -94,7 +109,6 @@ def do_fl_partitioning(path_to_dataset, pool_size, alpha, num_classes, val_ratio Path.mkdir(splits_dir, parents=True) for p in range(pool_size): - labels = partitions[p][1] image_idx = partitions[p][0] imgs = images[image_idx] @@ -122,7 +136,7 @@ def do_fl_partitioning(path_to_dataset, pool_size, alpha, num_classes, val_ratio def cifar10Transformation(): - + """Return a torchvision.transforms object for CIFAR10 dataset.""" return transforms.Compose( [ transforms.ToTensor(), @@ -132,11 +146,12 @@ def cifar10Transformation(): class TorchVision_FL(VisionDataset): - """This is just a trimmed down version of torchvision.datasets.MNIST. + """TorchVision FL class. - Use this class by either passing a path to a torch file (.pt) - containing (data, targets) or pass the data, targets directly - instead. + Use this class by either passing a path to a torch file (.pt) containing + (data, targets) or pass the data, targets directly instead. + + This is just a trimmed down version of torchvision.datasets.MNIST. """ def __init__( @@ -146,6 +161,7 @@ def __init__( targets=None, transform: Optional[Callable] = None, ) -> None: + """Initialize dataset.""" path = path_to_data.parent if path_to_data else None super(TorchVision_FL, self).__init__(path, transform=transform) self.transform = transform @@ -158,6 +174,7 @@ def __init__( self.targets = targets def __getitem__(self, index: int) -> Tuple[Any, Any]: + """Return a tuple (data, target).""" img, target = self.data[index], int(self.targets[index]) # doing this so that it is consistent with all other datasets @@ -177,13 +194,12 @@ def __getitem__(self, index: int) -> Tuple[Any, Any]: return img, target def __len__(self) -> int: + """Return length of dataset.""" return len(self.data) def get_cifar_10(path_to_data="flanders/datasets_files/cifar_10/data"): - """Downloads CIFAR10 dataset and generates a unified training set (it will - be partitioned later using the LDA partitioning mechanism.""" - + """Download CIFAR10 dataset.""" # download dataset and load train set train_set = datasets.CIFAR10(root=path_to_data, train=True, download=True) @@ -200,6 +216,7 @@ def get_cifar_10(path_to_data="flanders/datasets_files/cifar_10/data"): # returns path where training data is and testset return training_data, test_set + def get_mnist( data_root: str, batch_size: int, @@ -208,7 +225,8 @@ def get_mnist( nb_clients=10, is_train=True, ): - """Helper function that loads both training and test datasets for MNIST. + """Load both training and test datasets for MNIST. + Parameters ---------- data_root: str @@ -220,13 +238,14 @@ def get_mnist( cid: int Client ID used to select a specific partition. nb_clients: int - Total number of clients launched during training. This value dictates the number of unique to be created. + Total number of clients launched during training. + This value dictates the number of unique to be created. + Returns ------- (train_loader, test_loader): Tuple[DataLoader, DataLoader] Tuple contaning DataLoaders for training and test sets. """ - transform = transforms.Compose( [transforms.ToTensor(), transforms.Normalize((0.1307,), (0.3081,))] ) @@ -247,6 +266,7 @@ def get_mnist( return loader + def dataset_partitioner( dataset: torch.utils.data.Dataset, batch_size: int, @@ -254,7 +274,8 @@ def dataset_partitioner( number_of_clients: int, workers: int = 1, ) -> torch.utils.data.DataLoader: - """Helper function to partition datasets + """Make datasets partitions for a specific client_id. + Parameters ---------- dataset: torch.utils.data.Dataset @@ -264,13 +285,14 @@ def dataset_partitioner( client_id: int Unique integer used for selecting a specific partition. number_of_clients: int - Total number of clients launched during training. This value dictates the number of partitions to be created. + Total number of clients launched during training. + This value dictates the number of partitions to be created. + Returns ------- data_loader: torch.utils.data.Dataset DataLoader for specific client_id considering number_of_clients partitions. """ - # Set the seed so we are sure to generate the same global batches # indices across all clients np.random.seed(123) @@ -286,30 +308,37 @@ def dataset_partitioner( end_ind = start_ind + nb_samples_per_clients data_sampler = SubsetRandomSampler(dataset_indices[start_ind:end_ind]) data_loader = torch.utils.data.DataLoader( - dataset, batch_size=batch_size, shuffle=False, sampler=data_sampler, num_workers=workers + dataset, + batch_size=batch_size, + shuffle=False, + sampler=data_sampler, + num_workers=workers, ) return data_loader + def get_partitioned_income(path: str, pool_size: int, train_size=0.8, test_size=0.2): + """Return partitioned income dataset.""" data = pd.read_csv(path) copy = data encoder = OrdinalEncoder() encoded_values = encoder.fit_transform(data) - data = pd.DataFrame(data = encoded_values, columns = copy.columns) + data = pd.DataFrame(data=encoded_values, columns=copy.columns) Y = data["income"] - data = data.loc[:,data.columns != "income"] + data = data.loc[:, data.columns != "income"] X_train, X_test, y_train, y_test = [], [], [], [] - train_size = int((len(data) * train_size) // pool_size)+2 - test_size = int((len(data) * test_size) // pool_size)-2 + train_size = int((len(data) * train_size) // pool_size) + 2 + test_size = int((len(data) * test_size) // pool_size) - 2 for i in range(pool_size): xtrain, xtest, ytrain, ytest = train_test_split( - data, Y, - train_size=train_size, - test_size=test_size, - random_state=i, + data, + Y, + train_size=train_size, + test_size=test_size, + random_state=i, shuffle=True, - stratify=Y + stratify=Y, ) X_train.append(xtrain) X_test.append(xtest) @@ -318,21 +347,24 @@ def get_partitioned_income(path: str, pool_size: int, train_size=0.8, test_size= return X_train, X_test, y_train, y_test + def get_partitioned_house(path: str, pool_size: int, train_size=0.8, test_size=0.2): + """Return partitioned house dataset.""" data = pd.read_csv(path) - Y = data['median_house_value'].values - data = data.drop(['median_house_value'] , axis = 1).values + Y = data["median_house_value"].values + data = data.drop(["median_house_value"], axis=1).values X_train, X_test, y_train, y_test = [], [], [], [] - train_size = int((len(data) * train_size) // pool_size)+2 - test_size = int((len(data) * test_size) // pool_size)-2 + train_size = int((len(data) * train_size) // pool_size) + 2 + test_size = int((len(data) * test_size) // pool_size) - 2 for i in range(pool_size): xtrain, xtest, ytrain, ytest = train_test_split( - data, Y, - train_size=train_size, - test_size=test_size, - random_state=i, - shuffle=True + data, + Y, + train_size=train_size, + test_size=test_size, + random_state=i, + shuffle=True, ) sd = preprocessing.RobustScaler() xtrain = sd.fit_transform(xtrain) @@ -343,4 +375,4 @@ def get_partitioned_house(path: str, pool_size: int, train_size=0.8, test_size=0 y_train.append(ytrain) y_test.append(ytest) - return X_train, X_test, y_train, y_test \ No newline at end of file + return X_train, X_test, y_train, y_test diff --git a/baselines/flanders/flanders/dataset_preparation.py b/baselines/flanders/flanders/dataset_preparation.py index 9eed45a2c08f..b8dad192ceea 100644 --- a/baselines/flanders/flanders/dataset_preparation.py +++ b/baselines/flanders/flanders/dataset_preparation.py @@ -25,32 +25,6 @@ XYList = List[XY] PartitionedDataset = Tuple[XYList, XYList] -def get_partitioned_house(path: str, pool_size: int, train_size=0.8, test_size=0.2): - data = pd.read_csv(path) - Y = data['median_house_value'].values - data = data.drop(['median_house_value'] , axis = 1).values - - X_train, X_test, y_train, y_test = [], [], [], [] - train_size = int((len(data) * train_size) // pool_size)+2 - test_size = int((len(data) * test_size) // pool_size)-2 - for i in range(pool_size): - xtrain, xtest, ytrain, ytest = train_test_split( - data, Y, - train_size=train_size, - test_size=test_size, - random_state=i, - shuffle=True - ) - sd = preprocessing.RobustScaler() - xtrain = sd.fit_transform(xtrain) - xtest = sd.fit_transform(xtest) - - X_train.append(xtrain) - X_test.append(xtest) - y_train.append(ytrain) - y_test.append(ytest) - - return X_train, X_test, y_train, y_test def float_to_int(i: float) -> int: """Return float as int but raise if decimal is dropped.""" @@ -63,16 +37,16 @@ def float_to_int(i: float) -> int: def sort_by_label(x: np.ndarray, y: np.ndarray) -> XY: """Sort by label. - Assuming two labels and four examples the resulting label order - would be 1,1,2,2 + Assuming two labels and four examples the resulting label order would be 1,1,2,2 """ idx = np.argsort(y, axis=0).reshape((y.shape[0])) return (x[idx], y[idx]) def sort_by_label_repeating(x: np.ndarray, y: np.ndarray) -> XY: - """Sort by label in repeating groups. Assuming two labels and four examples - the resulting label order would be 1,2,1,2. + """Sort by label in repeating groups. + + Assuming two labels and four examples the resulting label order would be 1,2,1,2. Create sorting index which is applied to by label sorted x, y @@ -136,17 +110,6 @@ def combine_partitions(xy_list_0: XYList, xy_list_1: XYList) -> XYList: ] -def shift(x: np.ndarray, y: np.ndarray) -> XY: - """Shift x_1, y_1 so that the first half contains only labels 0 to 4 and - the second half 5 to 9.""" - x, y = sort_by_label(x, y) - - (x_0, y_0), (x_1, y_1) = split_at_fraction(x, y, fraction=0.5) - (x_0, y_0), (x_1, y_1) = shuffle(x_0, y_0), shuffle(x_1, y_1) - x, y = np.concatenate([x_0, x_1], axis=0), np.concatenate([y_0, y_1], axis=0) - return x, y - - def create_partitions( unpartitioned_dataset: XY, iid_fraction: float, @@ -154,8 +117,7 @@ def create_partitions( ) -> XYList: """Create partitioned version of a training or test set. - Currently tested and supported are MNIST, FashionMNIST and - CIFAR-10/100 + Currently tested and supported are MNIST, FashionMNIST and CIFAR-10/100 """ x, y = unpartitioned_dataset @@ -165,7 +127,7 @@ def create_partitions( (x_0, y_0), (x_1, y_1) = split_at_fraction(x, y, fraction=iid_fraction) # Shift in second split of dataset the classes into two groups - x_1, y_1 = shift(x_1, y_1) + x_1, y_1 = _shift(x_1, y_1) xy_0_partitions = partition(x_0, y_0, num_partitions) xy_1_partitions = partition(x_1, y_1, num_partitions) @@ -183,8 +145,7 @@ def create_partitioned_dataset( ) -> Tuple[PartitionedDataset, XY]: """Create partitioned version of keras dataset. - Currently tested and supported are MNIST, FashionMNIST and - CIFAR-10/100 + Currently tested and supported are MNIST, FashionMNIST and CIFAR-10/100 """ xy_train, xy_test = keras_dataset @@ -235,11 +196,10 @@ def adjust_y_shape(nda: np.ndarray) -> np.ndarray: def split_array_at_indices( x: np.ndarray, split_idx: np.ndarray ) -> List[List[np.ndarray]]: - """Splits an array `x` into list of elements using starting indices from - `split_idx`. + """Split an array `x` into list of elements using starting indices from `split_idx`. - This function should be used with `unique_indices` from `np.unique()` after - sorting by label. + This function should be used with `unique_indices` from `np.unique()` after + sorting by label. Args: x (np.ndarray): Original array of dimension (N,a,b,c,...) @@ -247,10 +207,10 @@ def split_array_at_indices( indices to be used as partitions. Initial value must be zero. Last value must be less than N. - Returns: + Returns + ------- List[List[np.ndarray]]: List of list of samples. """ - if split_idx.ndim != 1: raise ValueError("Variable `split_idx` must be a 1-D numpy array.") if split_idx.dtype != np.int64: @@ -280,7 +240,7 @@ def split_array_at_indices( def exclude_classes_and_normalize( distribution: np.ndarray, exclude_dims: List[bool], eps: float = 1e-5 ) -> np.ndarray: - """Excludes classes from a distribution. + """Exclude classes from a distribution. This function is particularly useful when sampling without replacement. Classes for which no sample is available have their probabilities are set to 0. @@ -293,7 +253,8 @@ def exclude_classes_and_normalize( eps (float, optional): Small value to be addad to non-excluded dimensions. Defaults to 1e-5. - Returns: + Returns + ------- np.ndarray: Normalized distributions. """ if np.any(distribution < 0) or (not np.isclose(np.sum(distribution), 1.0)): @@ -321,7 +282,7 @@ def sample_without_replacement( num_samples: int, empty_classes: List[bool], ) -> Tuple[XY, List[bool]]: - """Samples from a list without replacement using a given distribution. + """Sample from a list without replacement using a given distribution. Args: distribution (np.ndarray): Distribution used for sampling. @@ -330,7 +291,8 @@ def sample_without_replacement( empty_classes (List[bool]): List of booleans indicating which classes are empty. This is useful to differentiate which classes should still be sampled. - Returns: + Returns + ------- XY: Dataset contaning samples List[bool]: empty_classes. """ @@ -374,19 +336,20 @@ def sample_without_replacement( def get_partitions_distributions(partitions: XYList) -> Tuple[np.ndarray, List[int]]: - """Evaluates the distribution over classes for a set of partitions. + """Evaluate the distribution over classes for a set of partitions. Args: partitions (XYList): Input partitions - Returns: + Returns + ------- np.ndarray: Distributions of size (num_partitions, num_classes) """ # Get largest available label labels = set() for _, y in partitions: labels.update(set(y)) - list_labels = sorted(list(labels)) + list_labels = sorted(labels) bin_edges = np.arange(len(list_labels) + 1) # Pre-allocate distributions @@ -406,8 +369,10 @@ def create_lda_partitions( accept_imbalanced: bool = False, seed: Optional[Union[int, SeedSequence, BitGenerator, Generator]] = None, ) -> Tuple[XYList, np.ndarray]: - """Create imbalanced non-iid partitions using Latent Dirichlet Allocation - (LDA) without resampling. + r"""Create imbalanced non-iid partitions. + + Create imbalanced non-iid partitions using Latent Dirichlet Allocation (LDA) + without resampling. Args: dataset (XY): Dataset containing samples X and labels Y. @@ -431,7 +396,8 @@ def create_lda_partitions( If passed a Generator, it will be returned unaltered. See official Numpy Documentation for further details. - Returns: + Returns + ------- Tuple[XYList, numpy.ndarray]: List of XYList containing partitions for each dataset and the dirichlet probability density functions. """ @@ -462,7 +428,6 @@ def create_lda_partitions( # Check if concentration is Inf, if so create uniform partitions partitions: List[XY] = [(_, _) for _ in range(num_partitions)] if float("inf") in concentration: - partitions = create_partitions( unpartitioned_dataset=(x, y), iid_fraction=1.0, @@ -509,3 +474,17 @@ def create_lda_partitions( ) return partitions, dirichlet_dist + + +def _shift(x: np.ndarray, y: np.ndarray) -> XY: + """Shift data. + + Shift x_1, y_1 so that the first half contains only labels 0 to 4 and the second + half 5 to 9. + """ + x, y = sort_by_label(x, y) + + (x_0, y_0), (x_1, y_1) = split_at_fraction(x, y, fraction=0.5) + (x_0, y_0), (x_1, y_1) = shuffle(x_0, y_0), shuffle(x_1, y_1) + x, y = np.concatenate([x_0, x_1], axis=0), np.concatenate([y_0, y_1], axis=0) + return x, y diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index d82837a08818..0b7fe1ebd484 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -3,49 +3,37 @@ It includes processioning the dataset, instantiate strategy, specify how the global model is going to be evaluated, etc. At the end, this script saves the results. """ +import os +import shutil +from typing import Dict + +import flwr as fl + # these are the basic packages you'll need here # feel free to remove some if aren't needed import hydra -from hydra.utils import instantiate -from hydra.core.hydra_config import HydraConfig -from omegaconf import DictConfig, OmegaConf - - -import shutil -import flwr as fl from flwr.common.typing import Scalar from flwr.server.client_manager import SimpleClientManager -import os - -from typing import Dict +from hydra.core.hydra_config import HydraConfig +from hydra.utils import instantiate +from omegaconf import DictConfig, OmegaConf -from .client import ( - CifarClient, - HouseClient, - IncomeClient, - MnistClient, -) -from .attacks import ( - fang_attack, - gaussian_attack, - lie_attack, - no_attack, - minmax_attack +from .attacks import fang_attack, gaussian_attack, lie_attack, minmax_attack +from .client import CifarClient, HouseClient, IncomeClient, MnistClient +from .dataset import ( + do_fl_partitioning, + get_cifar_10, + get_partitioned_house, + get_partitioned_income, ) +from .server import EnhancedServer from .utils import ( - l2_norm, - mnist_evaluate, cifar_evaluate, house_evaluate, - income_evaluate -) -from .dataset import ( - get_partitioned_income, - get_partitioned_house, - get_cifar_10, - do_fl_partitioning + income_evaluate, + l2_norm, + mnist_evaluate, ) -from .server import EnhancedServer @hydra.main(config_path="conf", config_name="base", version_base=None) @@ -64,14 +52,14 @@ def main(cfg: DictConfig) -> None: "gaussian": gaussian_attack, "lie": lie_attack, "fang": fang_attack, - "minmax": minmax_attack + "minmax": minmax_attack, } clients = { "mnist": (MnistClient, mnist_evaluate), "cifar": (CifarClient, cifar_evaluate), "house": (HouseClient, house_evaluate), - "income": (IncomeClient, income_evaluate) + "income": (IncomeClient, income_evaluate), } # Delete old client_params @@ -86,20 +74,25 @@ def main(cfg: DictConfig) -> None: num_malicious = cfg.server.num_malicious # 2. Prepare your dataset - sampling = cfg.server.sampling if dataset_name == "cifar": train_path, testset = get_cifar_10() fed_dir = do_fl_partitioning( - train_path, pool_size=cfg.server.pool_size, alpha=10000, num_classes=10, val_ratio=0.5, seed=1234 + train_path, + pool_size=cfg.server.pool_size, + alpha=10000, + num_classes=10, + val_ratio=0.5, + seed=1234, ) elif dataset_name == "income": - sampling = 0 - X_train, X_test, y_train, y_test = get_partitioned_income("flanders/datasets_files/adult.csv", cfg.server.pool_size) + X_train, X_test, y_train, y_test = get_partitioned_income( + "flanders/datasets_files/adult.csv", cfg.server.pool_size + ) elif dataset_name == "house": - sampling = 0 - X_train, X_test, y_train, y_test = get_partitioned_house("flanders/datasets_files/houses_preprocessed.csv", cfg.server.pool_size) + X_train, X_test, y_train, y_test = get_partitioned_house( + "flanders/datasets_files/houses_preprocessed.csv", cfg.server.pool_size + ) - # 3. Define your clients def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): client = clients[dataset_name][0] @@ -109,16 +102,28 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): elif dataset_name == "mnist": return client(cid, pool_size) elif dataset_name == "income": - return client(cid, X_train[cid_idx], y_train[cid_idx], X_test[cid_idx], y_test[cid_idx]) + return client( + cid, + X_train[cid_idx], + y_train[cid_idx], + X_test[cid_idx], + y_test[cid_idx], + ) elif dataset_name == "house": - return client(cid, X_train[cid_idx], y_train[cid_idx], X_test[cid_idx], y_test[cid_idx]) + return client( + cid, + X_train[cid_idx], + y_train[cid_idx], + X_test[cid_idx], + y_test[cid_idx], + ) else: raise ValueError("Dataset not supported") # 4. Define your strategy strategy = instantiate( cfg.strategy, - evaluate_fn = clients[dataset_name][1], + evaluate_fn=clients[dataset_name][1], on_fit_config_fn=fit_config, fraction_fit=1, fraction_evaluate=0, @@ -152,7 +157,7 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): output_dir=save_path, ), config=fl.server.ServerConfig(num_rounds=cfg.server.num_rounds), - strategy=strategy + strategy=strategy, ) @@ -164,5 +169,6 @@ def fit_config(server_round: int) -> Dict[str, Scalar]: } return config + if __name__ == "__main__": - main() \ No newline at end of file + main() diff --git a/baselines/flanders/flanders/models.py b/baselines/flanders/flanders/models.py index eee88b523d9d..59ccbd80b021 100644 --- a/baselines/flanders/flanders/models.py +++ b/baselines/flanders/flanders/models.py @@ -1,28 +1,28 @@ -"""Define our models, and training and eval functions. - -If your model is 100% off-the-shelf (e.g. directly from torchvision without requiring -modifications) you might be better off instantiating your model directly from the Hydra -config. In this way, swapping your model for another one can be done without changing -the python code at all -""" +"""Models for FLANDERS experiments.""" import itertools + import torch import torch.nn as nn import torch.nn.functional as F -import numpy as np from sklearn.metrics import roc_auc_score from sklearn.preprocessing import LabelBinarizer + def roc_auc_multiclass(y_true, y_pred): + """Compute the ROC AUC for multiclass classification.""" lb = LabelBinarizer() lb.fit(y_true) y_true = lb.transform(y_true) y_pred = lb.transform(y_pred) return roc_auc_score(y_true, y_pred, multi_class="ovr") + # Source: https://github.com/bladesteam/blades/blob/master/src/blades/models/mnist/mlp.py class MnistNet(nn.Module): + """Simple MLP for MNIST.""" + def __init__(self): + """Initialize the model.""" super(MnistNet, self).__init__() # number of hidden nodes in each layer (512) hidden_1 = 128 @@ -38,6 +38,7 @@ def __init__(self): self.dropout = nn.Dropout(0.2) def forward(self, x): + """Forward pass through the network.""" # flatten image input x = x.view(-1, 28 * 28) # add hidden layer, with relu activation function @@ -53,31 +54,39 @@ def forward(self, x): x = F.log_softmax(x, dim=1) return x + def train_mnist(model, dataloader, epochs, device): + """Train the network on the training set.""" n_total_steps = len(dataloader) criterion = nn.CrossEntropyLoss() - optimizer = torch.optim.Adam(model.parameters(), lr=0.001) + optimizer = torch.optim.Adam(model.parameters(), lr=0.001) for epoch in range(epochs): - for i, (images, labels) in enumerate(dataloader): + for i, (images, labels) in enumerate(dataloader): # origin shape: [100, 1, 28, 28] # resized: [100, 784] - images = images.reshape(-1, 28*28).to(device) + images = images.reshape(-1, 28 * 28).to(device) labels = labels.to(device) - + # Forward pass outputs = model(images) loss = criterion(outputs, labels) - + # Backward and optimize optimizer.zero_grad() loss.backward() optimizer.step() - - if (i+1) % 100 == 0: - print (f'Epoch [{epoch+1}/{epochs}], Step [{i+1}/{n_total_steps}], Loss: {loss.item():.4f}') + + if (i + 1) % 100 == 0: + print( + f"Epoch [{epoch+1}/{epochs}], " + f"Step [{i+1}/{n_total_steps}], " + f"Loss: {loss.item():.4f}" + ) + def test_mnist(model, dataloader, device): - loss=0 + """Validate the network on the entire test set.""" + loss = 0 model.eval() criterion = nn.CrossEntropyLoss() y_true, y_pred = [], [] @@ -85,7 +94,7 @@ def test_mnist(model, dataloader, device): n_correct = 0 n_samples = 0 for images, labels in dataloader: - images = images.reshape(-1, 28*28).to(device) + images = images.reshape(-1, 28 * 28).to(device) labels = labels.to(device) outputs = model(images) # max returns (value ,index) @@ -101,9 +110,12 @@ def test_mnist(model, dataloader, device): acc = n_correct / n_samples return loss, acc, auc + # Model (simple CNN adapted from 'PyTorch: A 60 Minute Blitz') # borrowed from Pytorch quickstart example class CifarNet(nn.Module): + """Simple CNN for CIFAR-10.""" + def __init__(self) -> None: super(CifarNet, self).__init__() self.conv1 = nn.Conv2d(3, 6, 5) @@ -114,6 +126,7 @@ def __init__(self) -> None: self.fc3 = nn.Linear(84, 10) def forward(self, x: torch.Tensor) -> torch.Tensor: + """Forward pass through the network.""" x = self.pool(F.relu(self.conv1(x))) x = self.pool(F.relu(self.conv2(x))) x = x.view(-1, 16 * 5 * 5) @@ -122,6 +135,7 @@ def forward(self, x: torch.Tensor) -> torch.Tensor: x = self.fc3(x) return x + # borrowed from Pytorch quickstart example def train_cifar(net, trainloader, epochs, device: str): """Train the network on the training set.""" @@ -158,4 +172,4 @@ def test_cifar(net, testloader, device: str): y_pred = list(itertools.chain(*y_pred)) auc = roc_auc_multiclass(y_true, y_pred) accuracy = correct / total - return loss, accuracy, auc \ No newline at end of file + return loss, accuracy, auc diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index 084e8874737a..84d113c348eb 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -3,15 +3,11 @@ Optionally, also define a new Server class (please note this is not needed in most settings). """ -from flwr.server.server import fit_clients, Server -from flwr.server.history import History - import timeit -import numpy as np from logging import DEBUG, INFO -from typing import Dict, List, Optional, Tuple, Union +from typing import Any, Callable, Dict, List, Optional, Tuple, Union -from typing import Callable, Dict, List, Optional, Tuple, Union, Any +import numpy as np from flwr.common import ( DisconnectRes, EvaluateRes, @@ -20,14 +16,12 @@ Scalar, parameters_to_ndarrays, ) - from flwr.common.logger import log from flwr.server.client_proxy import ClientProxy +from flwr.server.history import History +from flwr.server.server import Server, fit_clients -from .utils import ( - save_params, - flatten_params -) +from .utils import flatten_params, save_params FitResultsAndFailures = Tuple[ List[Tuple[ClientProxy, FitRes]], @@ -42,27 +36,28 @@ List[Union[Tuple[ClientProxy, DisconnectRes], BaseException]], ] + class EnhancedServer(Server): """Server with enhanced functionality.""" def __init__( - self, - num_malicious: int, - warmup_rounds: int, - attack_fn:Callable, - dataset_name: str, - threshold: float = 0.0, - to_keep: int = 1, - magnitude: float = 0.0, - sampling: int = 0, - history_dir: str = "clients_params", - omniscent: bool = True, - output_dir: str = "results", - *args: Any, - **kwargs: Any - ) -> None: + self, + num_malicious: int, + warmup_rounds: int, + attack_fn: Callable, + dataset_name: str, + threshold: float = 0.0, + to_keep: int = 1, + magnitude: float = 0.0, + sampling: int = 0, + history_dir: str = "clients_params", + omniscent: bool = True, + output_dir: str = "results", + *args: Any, + **kwargs: Any, + ) -> None: """Create a new EnhancedServer instance. - + Parameters ---------- num_malicious : int @@ -88,7 +83,6 @@ def __init__( output_dir : str, optional Directory where to save the results, by default "results" """ - super().__init__(*args, **kwargs) self.num_malicious = num_malicious self.warmup_rounds = warmup_rounds @@ -106,7 +100,6 @@ def __init__( self.omniscent = omniscent self.output_dir = f"{output_dir}/outputs" - # pylint: disable=too-many-locals def fit(self, num_rounds: int, timeout: Optional[float]) -> History: """Run federated averaging for a number of rounds.""" @@ -116,8 +109,14 @@ def fit(self, num_rounds: int, timeout: Optional[float]) -> History: log(INFO, "Initializing global parameters") self.parameters = self._get_initial_parameters(timeout=timeout) log(INFO, "Evaluating initial parameters") - config = {"num_malicious": self.num_malicious, "attack_fn": self.attack_fn, "dataset_name": self.dataset_name} - res = self.strategy.evaluate(0, parameters=self.parameters, config=config, output_dir=self.output_dir) + config = { + "num_malicious": self.num_malicious, + "attack_fn": self.attack_fn, + "dataset_name": self.dataset_name, + } + res = self.strategy.evaluate( + 0, parameters=self.parameters, config=config, output_dir=self.output_dir + ) if res is not None: log( INFO, @@ -147,7 +146,12 @@ def fit(self, num_rounds: int, timeout: Optional[float]) -> History: ) # Evaluate model using strategy implementation - res_cen = self.strategy.evaluate(current_round, parameters=self.parameters, config=config, output_dir=self.output_dir) + res_cen = self.strategy.evaluate( + current_round, + parameters=self.parameters, + config=config, + output_dir=self.output_dir, + ) if res_cen is not None: loss_cen, metrics_cen = res_cen log( @@ -181,7 +185,6 @@ def fit(self, num_rounds: int, timeout: Optional[float]) -> History: log(INFO, "FL finished in %s", elapsed) return history - def fit_round( self, server_round: int, @@ -230,12 +233,12 @@ def fit_round( ins.config["malicious"] = False for proxy, ins in client_instructions: - log(INFO, f"Client {proxy.cid} malicious: {ins.config['malicious']}") + log(INFO, f"Client {proxy.cid} malicious: {ins.config['malicious']}") # Collect `fit` results from all clients participating in this round results, failures = fit_clients( client_instructions=client_instructions, max_workers=self.max_workers, - timeout=timeout + timeout=timeout, ) log( DEBUG, @@ -245,34 +248,44 @@ def fit_round( len(failures), ) - clients_state = {} # dictionary of clients representing wether they are malicious or not + clients_state = ( + {} + ) # dictionary of clients representing wether they are malicious or not # Save parameters of each client as time series ordered_results = [0 for _ in range(len(results))] cids = np.array([]) for proxy, fitres in results: cids = np.append(cids, int(fitres.metrics["cid"])) - clients_state[fitres.metrics['cid']] = fitres.metrics['malicious'] + clients_state[fitres.metrics["cid"]] = fitres.metrics["malicious"] params = flatten_params(parameters_to_ndarrays(fitres.parameters)) if self.sampling > 0: if len(self.params_indexes) == 0: # Sample a random subset of parameters - self.params_indexes = np.random.randint(0, len(params), size=self.sampling) + self.params_indexes = np.random.randint( + 0, len(params), size=self.sampling + ) params = params[self.params_indexes] - log(INFO, f"Saving parameters of client {fitres.metrics['cid']} with shape {params.shape}") - save_params(params, fitres.metrics['cid'], dir=self.history_dir) + log( + INFO, + f"Saving parameters of client {fitres.metrics['cid']} with" + f"shape {params.shape}", + ) + save_params(params, fitres.metrics["cid"], dir=self.history_dir) # Re-arrange results in the same order as clients' cids impose log(INFO, "Re-arranging results in the same order as clients' cids impose") - ordered_results[int(fitres.metrics['cid'])] = (proxy, fitres) + ordered_results[int(fitres.metrics["cid"])] = (proxy, fitres) # Initialize aggregated_parameters if it is the first round if self.aggregated_parameters == []: for key, val in clients_state.items(): - if val == False: - self.aggregated_parameters = parameters_to_ndarrays(ordered_results[int(key)][1].parameters) + if val is False: + self.aggregated_parameters = parameters_to_ndarrays( + ordered_results[int(key)][1].parameters + ) break # Apply attack function @@ -280,23 +293,43 @@ def fit_round( if self.attack_fn is not None and server_round > self.warmup_rounds: log(INFO, "Applying attack function") results, others = self.attack_fn( - ordered_results, clients_state, omniscent=self.omniscent, magnitude=self.magnitude, - w_re=self.aggregated_parameters, malicious_selected=self.malicious_selected, - threshold=self.threshold, d=len(self.aggregated_parameters), old_lambda=self.old_lambda, - dataset_name=self.dataset_name, to_keep = self.to_keep, - malicious_num=self.num_malicious + ordered_results, + clients_state, + omniscent=self.omniscent, + magnitude=self.magnitude, + w_re=self.aggregated_parameters, + malicious_selected=self.malicious_selected, + threshold=self.threshold, + d=len(self.aggregated_parameters), + old_lambda=self.old_lambda, + dataset_name=self.dataset_name, + to_keep=self.to_keep, + malicious_num=self.num_malicious, ) - self.old_lambda = others.get('lambda', 0.0) + self.old_lambda = others.get("lambda", 0.0) # Update saved parameters time series after the attack - for proxy, fitres in results: - if fitres.metrics['malicious']: + for _, fitres in results: + if fitres.metrics["malicious"]: if self.sampling > 0: - params = flatten_params(parameters_to_ndarrays(fitres.parameters))[self.params_indexes] + params = flatten_params( + parameters_to_ndarrays(fitres.parameters) + )[self.params_indexes] else: - params = flatten_params(parameters_to_ndarrays(fitres.parameters)) - log(INFO, f"Saving parameters of client {fitres.metrics['cid']} with shape {params.shape}") - save_params(params, fitres.metrics['cid'], dir=self.history_dir, remove_last=True) + params = flatten_params( + parameters_to_ndarrays(fitres.parameters) + ) + log( + INFO, + f"Saving parameters of client {fitres.metrics['cid']}" + f"with shape {params.shape}", + ) + save_params( + params, + fitres.metrics["cid"], + dir=self.history_dir, + remove_last=True, + ) else: results = ordered_results others = {} @@ -307,9 +340,16 @@ def fit_round( # Aggregate training results log(INFO, "fit_round - Aggregating training results") - aggregated_result = self.strategy.aggregate_fit(server_round, results, failures, clients_state) + aggregated_result = self.strategy.aggregate_fit( + server_round, results, failures, clients_state + ) - parameters_aggregated, metrics_aggregated, good_clients_idx, malicious_clients_idx = aggregated_result + ( + parameters_aggregated, + metrics_aggregated, + good_clients_idx, + malicious_clients_idx, + ) = aggregated_result log(INFO, f"Malicious clients: {malicious_clients_idx}") log(INFO, f"clients_state: {clients_state}") @@ -320,15 +360,22 @@ def fit_round( else: self.malicious_selected = False - # For clients detected as malicious, set their parameters to be the averaged ones in their files - # otherwise the forecasting in next round won't be reliable + # For clients detected as malicious, set their parameters to be the + # averaged ones in their files otherwise the forecasting in next round + # won't be reliable if self.warmup_rounds > server_round: - log(INFO, f"Saving parameters of clients") + log(INFO, "Saving parameters of clients") for idx in malicious_clients_idx: if self.sampling > 0: - new_params = flatten_params(parameters_to_ndarrays(parameters_aggregated))[self.params_indexes] + new_params = flatten_params( + parameters_to_ndarrays(parameters_aggregated) + )[self.params_indexes] else: - new_params = flatten_params(parameters_to_ndarrays(parameters_aggregated)) - save_params(new_params, idx, dir=self.history_dir, remove_last=True, rrl=True) + new_params = flatten_params( + parameters_to_ndarrays(parameters_aggregated) + ) + save_params( + new_params, idx, dir=self.history_dir, remove_last=True, rrl=True + ) - return parameters_aggregated, metrics_aggregated, (results, failures) \ No newline at end of file + return parameters_aggregated, metrics_aggregated, (results, failures) diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index a2a20659ee09..b9538c24b3ef 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -1,22 +1,24 @@ -import numpy as np -from logging import INFO -from flwr.common.logger import log +"""FLANDERS strategy.""" +from logging import INFO from typing import Callable, Dict, List, Optional, Tuple, Union -from flwr.server.strategy.fedavg import FedAvg -from flwr.server.client_manager import ClientManager -from .utils import load_all_time_series +import numpy as np from flwr.common import ( + FitIns, FitRes, MetricsAggregationFn, NDArrays, Parameters, Scalar, - FitIns, - parameters_to_ndarrays + parameters_to_ndarrays, ) +from flwr.common.logger import log +from flwr.server.client_manager import ClientManager from flwr.server.client_proxy import ClientProxy +from flwr.server.strategy.fedavg import FedAvg + +from .utils import load_all_time_series WARNING_MIN_AVAILABLE_CLIENTS_TOO_LOW = """ Setting `min_available_clients` lower than `min_fit_clients` or @@ -25,9 +27,11 @@ than or equal to the values of `min_fit_clients` and `min_evaluate_clients`. """ + class Flanders(FedAvg): - """ - Aggregation function based on MAR. + """Aggregation function based on MAR. + + Take a look at the paper for more details about the parameters. """ # pylint: disable=too-many-arguments,too-many-instance-attributes @@ -59,8 +63,7 @@ def __init__( distance_function: Callable = None, output_dir: str = "results", ) -> None: - """Aggregation function based on MAR. - Take a look at the paper for more details about the parameters. + """Initialize FLANDERS. Parameters ---------- @@ -71,25 +74,35 @@ def __init__( min_fit_clients : int, optional Minimum number of clients used during the fit phase, by default 2 min_evaluate_clients : int, optional - Minimum number of clients used during the evaluate phase, by default 2 + Minimum number of clients used during the evaluate phase, by + default 2 min_available_clients : int, optional - Minimum number of clients available for training and evaluation, by default 2 - evaluate_fn : Optional[Callable[[int, NDArrays, Dict[str, Scalar]], Optional[Tuple[float, Dict[str, Scalar]]]]], optional + Minimum number of clients available for training and evaluation, by + default 2 + evaluate_fn : Optional[Callable[[int, NDArrays, Dict[str, Scalar]], + Optional[Tuple[float, Dict[str, Scalar]]]]], optional Evaluation function, by default None - on_fit_config_fn : Optional[Callable[[int], Dict[str, Scalar]]], optional - Function to generate the config fed to the clients during the fit phase, by default None - on_evaluate_config_fn : Optional[Callable[[int], Dict[str, Scalar]]], optional - Function to generate the config fed to the clients during the evaluate phase, by default None + on_fit_config_fn : Optional[Callable[[int], Dict[str, Scalar]]], + optional + Function to generate the config fed to the clients during the fit + phase, by default None + on_evaluate_config_fn : Optional[Callable[[int], Dict[str, Scalar]]], + optional + Function to generate the config fed to the clients during the + evaluate phase, by default None accept_failures : bool, optional Whether to accept failures from clients, by default True initial_parameters : Optional[Parameters], optional Initial model parameters, by default None fit_metrics_aggregation_fn : Optional[MetricsAggregationFn], optional Function to aggregate metrics during the fit phase, by default None - evaluate_metrics_aggregation_fn : Optional[MetricsAggregationFn], optional - Function to aggregate metrics during the evaluate phase, by default None + evaluate_metrics_aggregation_fn : Optional[MetricsAggregationFn], + optional + Function to aggregate metrics during the evaluate phase, by default + None to_keep : int, optional - Number of clients to keep (i.e., to classify as "good"), by default 1 + Number of clients to keep (i.e., to classify as "good"), by default + 1 window : int, optional Sliding window size used as a "training set" of MAR, by default 0 maxiter : int, optional @@ -99,23 +112,23 @@ def __init__( beta : float, optional Beta parameter (regularization), by default 1 distance_function : Callable, optional - Distance function used to compute the distance between predicted params and real ones, by default None + Distance function used to compute the distance between predicted + params and real ones, by default None """ - super().__init__( - fraction_fit=fraction_fit, - fraction_evaluate = fraction_evaluate, - min_fit_clients = min_fit_clients, - min_evaluate_clients = min_evaluate_clients, - min_available_clients = min_available_clients, - evaluate_fn = evaluate_fn, - on_fit_config_fn = on_fit_config_fn, - on_evaluate_config_fn = on_evaluate_config_fn, - accept_failures = accept_failures, - initial_parameters = initial_parameters, - fit_metrics_aggregation_fn = fit_metrics_aggregation_fn, - evaluate_metrics_aggregation_fn = evaluate_metrics_aggregation_fn - ) + fraction_fit=fraction_fit, + fraction_evaluate=fraction_evaluate, + min_fit_clients=min_fit_clients, + min_evaluate_clients=min_evaluate_clients, + min_available_clients=min_available_clients, + evaluate_fn=evaluate_fn, + on_fit_config_fn=on_fit_config_fn, + on_evaluate_config_fn=on_evaluate_config_fn, + accept_failures=accept_failures, + initial_parameters=initial_parameters, + fit_metrics_aggregation_fn=fit_metrics_aggregation_fn, + evaluate_metrics_aggregation_fn=evaluate_metrics_aggregation_fn, + ) self.to_keep = to_keep self.window = window self.maxiter = maxiter @@ -129,15 +142,19 @@ def configure_fit( self, server_round: int, parameters: Parameters, client_manager: ClientManager ) -> List[Tuple[ClientProxy, FitIns]]: """Configure the next round of training.""" - # Sample clients sample_size, min_num_clients = self.num_fit_clients( client_manager.num_available() ) - + # Custom FitIns object for each client fit_ins_list = [ - FitIns(parameters, {} if not self.on_fit_config_fn else self.on_fit_config_fn(server_round)) + FitIns( + parameters, + {} + if not self.on_fit_config_fn + else self.on_fit_config_fn(server_round), + ) for _ in range(sample_size) ] @@ -147,7 +164,7 @@ def configure_fit( # Return client/config pairs return [(client, fit) for client, fit in zip(clients, fit_ins_list)] - + def aggregate_fit( self, server_round: int, @@ -155,8 +172,7 @@ def aggregate_fit( failures: List[Union[Tuple[ClientProxy, FitRes], BaseException]], clients_state: Dict[int, bool], ) -> Tuple[Optional[Parameters], Dict[str, Scalar]]: - """ - Apply MAR forecasting to exclude malicious clients from FedAvg. + """Apply MAR forecasting to exclude malicious clients from FedAvg. Parameters ---------- @@ -185,39 +201,67 @@ def aggregate_fit( M = load_all_time_series(dir="clients_params", window=win) M = np.transpose(M, (0, 2, 1)) # (clients, params, time) - M_hat = M[:,:,-1].copy() + M_hat = M[:, :, -1].copy() pred_step = 1 log(INFO, f"Computing MAR on M {M.shape}") - Mr = mar(M[:,:,:-1], pred_step, maxiter=self.maxiter, alpha=self.alpha, beta=self.beta) + Mr = mar( + M[:, :, :-1], + pred_step, + maxiter=self.maxiter, + alpha=self.alpha, + beta=self.beta, + ) log(INFO, "Computing anomaly scores") - anomaly_scores = self.distance_function(M_hat, Mr[:,:,0]) + anomaly_scores = self.distance_function(M_hat, Mr[:, :, 0]) log(INFO, f"Anomaly scores: {anomaly_scores}") log(INFO, "Selecting good clients") - good_clients_idx = sorted(np.argsort(anomaly_scores)[:self.to_keep]) - malicious_clients_idx = sorted(np.argsort(anomaly_scores)[self.to_keep:]) + good_clients_idx = sorted( + np.argsort(anomaly_scores)[: self.to_keep] + ) # noqa + malicious_clients_idx = sorted( + np.argsort(anomaly_scores)[self.to_keep :] + ) # noqa results = np.array(results)[good_clients_idx].tolist() log(INFO, f"Good clients: {good_clients_idx}") # Apply FedAvg for the remaining clients log(INFO, "Applying FedAvg for the remaining clients") - parameters_aggregated, metrics_aggregated = super().aggregate_fit(server_round, results, failures) + parameters_aggregated, metrics_aggregated = super().aggregate_fit( + server_round, results, failures + ) else: # Apply FedAvg on every clients' params during the first round - parameters_aggregated, metrics_aggregated = super().aggregate_fit(server_round, results, failures) - - return parameters_aggregated, metrics_aggregated, good_clients_idx, malicious_clients_idx + parameters_aggregated, metrics_aggregated = super().aggregate_fit( + server_round, results, failures + ) + return ( + parameters_aggregated, + metrics_aggregated, + good_clients_idx, + malicious_clients_idx, + ) def evaluate( - self, server_round: int, parameters: Parameters, config: Dict[str, Scalar], output_dir: str + self, + server_round: int, + parameters: Parameters, + config: Dict[str, Scalar], + output_dir: str, ) -> Optional[Tuple[float, Dict[str, Scalar]]]: + """Evaluate model parameters. + + Evaluate model parameters using an evaluation function (centralized evaluation). + """ if self.evaluate_fn is None: # No evaluation function provided return None - - eval_res = self.evaluate_fn(server_round, parameters_to_ndarrays(parameters), config, output_dir) + + eval_res = self.evaluate_fn( + server_round, parameters_to_ndarrays(parameters), config, output_dir + ) if eval_res is None: return None loss, metrics = eval_res @@ -225,10 +269,16 @@ def evaluate( def mar(X, pred_step, alpha=1, beta=1, maxiter=100, window=0): - ''' - Code provided by Xinyu Chen at: - https://towardsdatascience.com/matrix-autoregressive-model-for-multidimensional-time-series-forecasting-6a4d7dce5143 - ''' + """Forecast the next tensor of params. + + Forecast the next tensor of params by using MAR algorithm. + + Code provided by Xinyu Chen at: + https://towardsdatascience.com/ matrix-autoregressive-model-for-multidimensional- + time-series-forecasting-6a4d7dce5143 + + With some modifications. + """ m, n, T = X.shape start = 0 if window > 0: @@ -236,34 +286,34 @@ def mar(X, pred_step, alpha=1, beta=1, maxiter=100, window=0): A = np.random.randn(m, m) B = np.random.randn(n, n) - X_norm = (X-np.min(X))/np.max(X) - + X_norm = (X - np.min(X)) / np.max(X) + for _ in range(maxiter): temp0 = B.T @ B temp1 = np.zeros((m, m)) temp2 = np.zeros((m, m)) identity_m = np.identity(m) - + for t in range(start, T): temp1 += X_norm[:, :, t] @ B @ X_norm[:, :, t - 1].T temp2 += X_norm[:, :, t - 1] @ temp0 @ X_norm[:, :, t - 1].T - temp2 += (alpha * identity_m) + temp2 += alpha * identity_m A = temp1 @ np.linalg.inv(temp2) - + temp0 = A.T @ A temp1 = np.zeros((n, n)) temp2 = np.zeros((n, n)) identity_n = np.identity(n) - + for t in range(start, T): temp1 += X_norm[:, :, t].T @ A @ X_norm[:, :, t - 1] temp2 += X_norm[:, :, t - 1].T @ temp0 @ X_norm[:, :, t - 1] - temp2 += (beta * identity_n) + temp2 += beta * identity_n B = temp1 @ np.linalg.inv(temp2) - - tensor = np.append(X, np.zeros((m, n, pred_step)), axis = 2) + + tensor = np.append(X, np.zeros((m, n, pred_step)), axis=2) for s in range(pred_step): tensor[:, :, T + s] = A @ tensor[:, :, T + s - 1] @ B.T - return tensor[:, :, - pred_step :] + return tensor[:, :, -pred_step:] diff --git a/baselines/flanders/flanders/utils.py b/baselines/flanders/flanders/utils.py index 44520884d36c..5dd43b0949ec 100644 --- a/baselines/flanders/flanders/utils.py +++ b/baselines/flanders/flanders/utils.py @@ -1,41 +1,36 @@ -""" -Collection of help functions needed by the strategies. -""" +"""Collection of help functions needed by the strategies.""" -import numpy as np import os -import torch +from threading import Lock +from typing import Dict, Optional, Tuple + +import numpy as np import pandas as pd +import torch +from flwr.common import Callable, NDArrays, Parameters, Scalar, parameters_to_ndarrays from natsort import natsorted -from typing import Dict, Optional, Tuple, List -from flwr.common import ( - Parameters, - Scalar, - parameters_to_ndarrays, - NDArrays, +from sklearn.linear_model import ElasticNet, LogisticRegression +from sklearn.metrics import ( + accuracy_score, + log_loss, + mean_absolute_percentage_error, + mean_squared_error, + r2_score, + roc_auc_score, ) -from threading import Lock from torch.utils.data import DataLoader from torchvision import transforms from torchvision.datasets import MNIST -from sklearn.linear_model import LogisticRegression, ElasticNet -from sklearn.metrics import accuracy_score, log_loss, roc_auc_score, mean_squared_error, mean_absolute_percentage_error, r2_score - -from .models import ( - MnistNet, - test_mnist, - CifarNet, - train_cifar, - test_cifar -) -from .client import set_params, set_sklearn_model_params, get_sklearn_model_params -from .dataset import get_cifar_10, get_partitioned_income, get_partitioned_house + +from .client import set_params, set_sklearn_model_params +from .dataset import get_cifar_10, get_partitioned_house, get_partitioned_income +from .models import CifarNet, MnistNet, test_cifar, test_mnist lock = Lock() + def l2_norm(true_matrix, predicted_matrix): - """ - Compute the l2 norm between two matrices. + """Compute the l2 norm between two matrices. Parameters ---------- @@ -50,21 +45,26 @@ def l2_norm(true_matrix, predicted_matrix): 1-d array of anomaly scores. """ delta = np.subtract(true_matrix, predicted_matrix) - anomaly_scores = np.sum(delta**2,axis=-1)**(1./2) + anomaly_scores = np.sum(delta**2, axis=-1) ** (1.0 / 2) return anomaly_scores + def save_params(parameters, cid, dir="clients_params", remove_last=False, rrl=False): - """ + """Save parameters in a file. + Args: - parameters (ndarray): decoded parameters to append at the end of the file - cid (int): identifier of the client - - remove_last (bool): if True, remove the last saved parameters and replace with "parameters" - - rrl (bool): if True, remove the last saved parameters and replace with the ones saved before this round + - remove_last (bool): + if True, remove the last saved parameters and replace with "parameters" + - rrl (bool): + if True, remove the last saved parameters and replace with the ones + saved before this round. """ new_params = parameters # Save parameters in clients_params/cid_params path_file = f"{dir}/{cid}_params.npy" - if os.path.exists(dir) == False: + if os.path.exists(dir) is False: os.mkdir(dir) if os.path.exists(path_file): # load old parameters @@ -81,13 +81,26 @@ def save_params(parameters, cid, dir="clients_params", remove_last=False, rrl=Fa def save_results(loss, accuracy, config=None, output_dir="results"): + """Save results in a csv file. + + Parameters + ---------- + loss : float + Loss value. + accuracy : float + Accuracy value. + config : dict, optional + Configurations to save, by default None. + output_dir : str, optional + Output directory, by default "results". + """ # Generate csv config["accuracy"] = accuracy config["loss"] = loss df = pd.DataFrame.from_records([config]) csv_path = f"{output_dir}/all_results.csv" # check that dir exists - if os.path.exists(output_dir) == False: + if os.path.exists(output_dir) is False: os.mkdir(output_dir) # Lock is needed when multiple clients are running concurrently with lock: @@ -98,31 +111,35 @@ def save_results(loss, accuracy, config=None, output_dir="results"): def load_all_time_series(dir="clients_params", window=0): - """ - Load all time series in order to have a tensor of shape (m,T,n) - where: - - T := time; - - m := number of clients; - - n := number of parameters - """ - files = os.listdir(dir) - files = natsorted(files) - data = [] - for file in files: - data.append(np.load(os.path.join(dir, file), allow_pickle=True)) - - return np.array(data)[:,-window:,:] + """Load all time series. + + Load all time series in order to have a tensor of shape (m,T,n) + where: + - T := time; + - m := number of clients; + - n := number of parameters. + """ + files = os.listdir(dir) + files = natsorted(files) + data = [] + for file in files: + data.append(np.load(os.path.join(dir, file), allow_pickle=True)) + + return np.array(data)[:, -window:, :] def flatten_params(params): - """ - Transform a list of (layers-)parameters into a single vector of shape (n). - """ + """Transform a list of (layers-)parameters into a single vector of shape (n).""" return np.concatenate(params, axis=None).ravel() def evaluate_aggregated( - evaluate_fn, server_round: int, parameters: Parameters, config: Dict[str, Scalar] + evaluate_fn: Optional[ + Callable[[int, NDArrays, Dict[str, Scalar]], Tuple[float, Dict[str, Scalar]]] + ], + server_round: int, + parameters: Parameters, + config: Dict[str, Scalar], ) -> Optional[Tuple[float, Dict[str, Scalar]]]: """Evaluate model parameters using an evaluation function.""" if evaluate_fn is None: @@ -135,9 +152,11 @@ def evaluate_aggregated( loss, metrics = eval_res return loss, metrics + def mnist_evaluate( server_round: int, parameters: NDArrays, config: Dict[str, Scalar], output_dir: str ): + """Evaluate MNIST model on the test set.""" # determine device device = torch.device("cpu") @@ -159,6 +178,7 @@ def mnist_evaluate( def cifar_evaluate( server_round: int, parameters: NDArrays, config: Dict[str, Scalar], output_dir: str ) -> Optional[Tuple[float, float]]: + """Evaluate CIFAR-10 model on the test set.""" device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") model = CifarNet() @@ -180,18 +200,21 @@ def cifar_evaluate( def income_evaluate( server_round: int, parameters: NDArrays, config: Dict[str, Scalar], output_dir: str ) -> Optional[Tuple[float, float]]: + """Evaluate Income model on the test set.""" model = LogisticRegression() model = set_sklearn_model_params(model, parameters) model.classes_ = np.array([0.0, 1.0]) - _, x_test, _, y_test = get_partitioned_income("flanders/datasets_files/adult_server.csv", 1, train_size=0.0, test_size=1.0) + _, x_test, _, y_test = get_partitioned_income( + "flanders/datasets_files/adult_server.csv", 1, train_size=0.0, test_size=1.0 + ) x_test = x_test[0] y_test = y_test[0] y_pred = model.predict(x_test) accuracy = accuracy_score(y_test, y_pred) loss = log_loss(y_test, model.predict_proba(x_test)) - auc = roc_auc_score(y_test, model.predict_proba(x_test)[:,1]) - + auc = roc_auc_score(y_test, model.predict_proba(x_test)[:, 1]) + config["round"] = server_round config["auc"] = auc save_results(loss, accuracy, config=config, output_dir=output_dir) @@ -202,18 +225,23 @@ def income_evaluate( def house_evaluate( server_round: int, parameters: NDArrays, config: Dict[str, Scalar], output_dir: str ) -> Optional[Tuple[float, float]]: + """Evaluate House model on the test set.""" model = ElasticNet(alpha=1, warm_start=True) model = set_sklearn_model_params(model, parameters) - _, x_test, _, y_test = get_partitioned_house("flanders/datasets_files/houses_server.csv", 1, train_size=0.0, test_size=1.0) + _, x_test, _, y_test = get_partitioned_house( + "flanders/datasets_files/houses_server.csv", 1, train_size=0.0, test_size=1.0 + ) x_test = x_test[0] y_test = y_test[0] y_pred = model.predict(x_test) loss = mean_squared_error(y_test, y_pred) mape = mean_absolute_percentage_error(y_test, y_pred) rsq = r2_score(y_test, y_pred) - arsq = 1 - (1-rsq) * (len(y_test)-1)/(len(y_test)-x_test.shape[1]-1) + arsq = 1 - (1 - rsq) * (len(y_test) - 1) / ( + len(y_test) - x_test.shape[1] - 1 + ) # noqa config["round"] = server_round config["auc"] = mape save_results(loss, arsq, config=config, output_dir=output_dir) - return loss, {"Adj-R2": arsq, "MAPE": mape} \ No newline at end of file + return loss, {"Adj-R2": arsq, "MAPE": mape} From bea113750ec8788b301c8e37ba48651fa102ab1a Mon Sep 17 00:00:00 2001 From: edogab33 Date: Fri, 22 Dec 2023 12:26:42 +0100 Subject: [PATCH 30/91] Formatting --- baselines/flanders/flanders/attacks.py | 2 +- baselines/flanders/flanders/main.py | 3 --- 2 files changed, 1 insertion(+), 4 deletions(-) diff --git a/baselines/flanders/flanders/attacks.py b/baselines/flanders/flanders/attacks.py index 5963cac8aa23..cfe003d3ea07 100644 --- a/baselines/flanders/flanders/attacks.py +++ b/baselines/flanders/flanders/attacks.py @@ -17,7 +17,7 @@ def no_attack( ordered_results: List[Tuple[ClientProxy, FitRes]], states: Dict[str, bool], **kwargs -) -> List[Tuple[ClientProxy, FitRes]]: +): """No attack.""" return ordered_results, {} diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 0b7fe1ebd484..bee98bf62674 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -8,9 +8,6 @@ from typing import Dict import flwr as fl - -# these are the basic packages you'll need here -# feel free to remove some if aren't needed import hydra from flwr.common.typing import Scalar from flwr.server.client_manager import SimpleClientManager From 44f56f32bd7a155e3e3b6295246b35aa712bdd0c Mon Sep 17 00:00:00 2001 From: edogab33 Date: Fri, 22 Dec 2023 13:23:14 +0100 Subject: [PATCH 31/91] Fix mypy errors --- baselines/flanders/flanders/attacks.py | 90 +++++++++++-------------- baselines/flanders/flanders/client.py | 20 +++--- baselines/flanders/flanders/main.py | 6 +- baselines/flanders/flanders/server.py | 33 +++------ baselines/flanders/flanders/strategy.py | 2 +- baselines/flanders/flanders/utils.py | 12 ++-- 6 files changed, 67 insertions(+), 96 deletions(-) diff --git a/baselines/flanders/flanders/attacks.py b/baselines/flanders/flanders/attacks.py index cfe003d3ea07..99cfac0c81e5 100644 --- a/baselines/flanders/flanders/attacks.py +++ b/baselines/flanders/flanders/attacks.py @@ -4,13 +4,7 @@ from typing import Dict, List, Tuple import numpy as np -from flwr.common import ( - FitRes, - NDArray, - NDArrays, - ndarrays_to_parameters, - parameters_to_ndarrays, -) +from flwr.common import FitRes, ndarrays_to_parameters, parameters_to_ndarrays from flwr.server.client_proxy import ClientProxy from scipy.stats import norm @@ -22,25 +16,23 @@ def no_attack( return ordered_results, {} -def gaussian_attack( - ordered_results: List[Tuple[ClientProxy, FitRes]], states: Dict[str, bool], **kwargs -) -> List[Tuple[ClientProxy, FitRes]]: +def gaussian_attack(ordered_results, states, **kwargs): """Apply Gaussian attack on parameters. Parameters ---------- - ordered_results : List[Tuple[ClientProxy, FitRes]] + ordered_results List of tuples (client_proxy, fit_result) ordered by client id. - states : Dict[str, bool] + states Dictionary of client ids and their states (True if malicious, False otherwise). - magnitude : float + magnitude Magnitude of the attack. - dataset_name : str + dataset_name Name of the dataset. Returns ------- - results : List[Tuple[ClientProxy, FitRes]] + results List of tuples (client_proxy, fit_result) ordered by client id. """ magnitude = kwargs.get("magnitude", 0.0) @@ -65,25 +57,25 @@ def perturbate(a): def lie_attack( - ordered_results: List[Tuple[ClientProxy, FitRes]], - states: Dict[str, bool], - omniscent: bool = True, + ordered_results, + states, + omniscent, **kwargs, -) -> List[Tuple[ClientProxy, FitRes]]: +): """Apply Omniscent LIE attack, Baruch et al. (2019) on parameters. Parameters ---------- - ordered_results : List[Tuple[ClientProxy, FitRes]] + ordered_results List of tuples (client_proxy, fit_result) ordered by client id. - states : Dict[str, bool] + states Dictionary of client ids and their states (True if malicious, False otherwise). - omniscent : bool + omniscent Whether the attacker knows the local models of all clients or not. Returns ------- - results : List[Tuple[ClientProxy, FitRes]] + results List of tuples (client_proxy, fit_result) ordered by client id. """ results = ordered_results.copy() @@ -116,11 +108,11 @@ def lie_attack( def fang_attack( - ordered_results: List[Tuple[ClientProxy, FitRes]], - states: Dict[str, bool], - omniscent: bool = True, + ordered_results, + states, + omniscent, **kwargs, -) -> List[Tuple[ClientProxy, FitRes]]: +): """Apply Local Model Poisoning Attacks. (Fang et al. (2020)) @@ -130,27 +122,27 @@ def fang_attack( Parameters ---------- - ordered_results : List[Tuple[ClientProxy, FitRes]] + ordered_results List of tuples (client_proxy, fit_result) ordered by client id. - states : Dict[str, bool] + states Dictionary of client ids and their states (True if malicious, False otherwise). - omniscent : bool + omniscent Whether the attacker knows the local models of all clients or not. - d : int + d Number of parameters. - w_re : ndarray + w_re The received global model. - old_lambda : float + old_lambda The lambda from the previous round. - threshold : float + threshold The threshold for lambda. - malicious_selected : bool + malicious_selected Whether the attacker was selected as malicious in the previous round. Returns ------- - results : List[Tuple[ClientProxy, FitRes]] + results List of tuples (client_proxy, fit_result) ordered by client id. """ d = kwargs.get("d", 1) @@ -240,11 +232,11 @@ def fang_attack( def minmax_attack( - ordered_results: List[Tuple[ClientProxy, FitRes]], - states: Dict[str, bool], - omniscent: bool = True, + ordered_results, + states, + omniscent, **kwargs, -) -> List[Tuple[ClientProxy, FitRes]]: +): """Apply Min-Max agnostic attack. Full-knowledge, perturbation function chosen according to our experimental @@ -255,21 +247,21 @@ def minmax_attack( Parameters ---------- - ordered_results : List[Tuple[ClientProxy, FitRes]] + ordered_results List of tuples (client_proxy, fit_result) ordered by client id. - states : Dict[str, bool] + states Dictionary of client ids and their states (True if malicious, False otherwise). - omniscent : bool + omniscent Whether the attacker knows the local models of all clients or not. - threshold : float + threshold Threshold for lambda. - lambda_init : float + lambda_init Initial value for lambda. Returns ------- - results : List[Tuple[ClientProxy, FitRes]] + results List of tuples (client_proxy, fit_result) ordered by client id. """ dataset_name = kwargs.get("dataset_name", None) @@ -378,7 +370,7 @@ def minmax_attack( return results, {"lambda": curr_lambda} -def _krum(results: List[Tuple[List, int]], m: int, to_keep: int, num_closest=None): +def _krum(results, m, to_keep, num_closest=None): """Get the best parameters vector according to the Krum function. Output: the best parameters vector. @@ -405,7 +397,7 @@ def _krum(results: List[Tuple[List, int]], m: int, to_keep: int, num_closest=Non return weights[best_index], best_index, best_indices, scores -def _compute_distances(weights: List[NDArrays]) -> NDArray: +def _compute_distances(weights): """Compute distances between vectors. Input: weights - list of weights vectors @@ -421,7 +413,7 @@ def _compute_distances(weights: List[NDArrays]) -> NDArray: return distance_matrix -def _get_closest_indices(M, num_closest: int) -> List[int]: +def _get_closest_indices(M, num_closest): """Get the indices of the closest points. Args: diff --git a/baselines/flanders/flanders/client.py b/baselines/flanders/flanders/client.py index 73eaf5def8ba..f08b1286f37f 100644 --- a/baselines/flanders/flanders/client.py +++ b/baselines/flanders/flanders/client.py @@ -1,7 +1,7 @@ """Clients implementation for Flanders.""" from collections import OrderedDict from pathlib import Path -from typing import Dict, List, Tuple, Union +from typing import Dict, Tuple, Union import flwr as fl import numpy as np @@ -18,19 +18,19 @@ LogRegParams = Union[XY, Tuple[np.ndarray]] -def get_params(model: torch.nn.ModuleList) -> List[np.ndarray]: +def get_params(model): """Get model weights as a list of NumPy ndarrays.""" return [val.cpu().numpy() for _, val in model.state_dict().items()] -def set_params(model: torch.nn.ModuleList, params: List[np.ndarray]): +def set_params(model, params): """Set model weights from a list of NumPy ndarrays.""" params_dict = zip(model.state_dict().keys(), params) state_dict = OrderedDict({k: torch.from_numpy(np.copy(v)) for k, v in params_dict}) model.load_state_dict(state_dict, strict=True) -def get_sklearn_model_params(model: LogisticRegression) -> LogRegParams: +def get_sklearn_model_params(model): """Return the paramters of a sklearn LogisticRegression model.""" if model.fit_intercept: params = [ @@ -44,9 +44,7 @@ def get_sklearn_model_params(model: LogisticRegression) -> LogRegParams: return params -def set_sklearn_model_params( - model: LogisticRegression, params: LogRegParams -) -> LogisticRegression: +def set_sklearn_model_params(model, params): """Set the parameters of a sklean LogisticRegression model.""" model.coef_ = params[0] if model.fit_intercept: @@ -54,7 +52,7 @@ def set_sklearn_model_params( return model -def set_initial_params_logistic_regr(model: LogisticRegression): +def set_initial_params_logistic_regr(model): """Set initial parameters as zeros. Required since model params are uninitialized until model.fit is called. @@ -72,7 +70,7 @@ def set_initial_params_logistic_regr(model: LogisticRegression): return model -def set_initial_params_linear_regr(model: ElasticNet): +def set_initial_params_linear_regr(model): """Set initial parameters as zeros. Required since model params are uninitialized until model.fit is called. @@ -163,11 +161,11 @@ def evaluate(self, parameters, config): class CifarClient(fl.client.NumPyClient): """Implementation of CIFAR-10 image classification using PyTorch.""" - def __init__(self, cid: str, fed_dir_data: str): + def __init__(self, cid, fed_dir_data): """Instantiate a client for the CIFAR-10 dataset.""" self.cid = cid self.fed_dir = Path(fed_dir_data) - self.properties: Dict[str, Scalar] = {"tensor_type": "numpy.ndarray"} + self.properties = {"tensor_type": "numpy.ndarray"} # Instantiate model self.net = CifarNet() diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index bee98bf62674..5929336d9718 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -5,11 +5,9 @@ """ import os import shutil -from typing import Dict import flwr as fl import hydra -from flwr.common.typing import Scalar from flwr.server.client_manager import SimpleClientManager from hydra.core.hydra_config import HydraConfig from hydra.utils import instantiate @@ -142,7 +140,7 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): server=EnhancedServer( warmup_rounds=cfg.server.warmup_rounds, num_malicious=num_malicious, - attack_fn=attacks[attack_fn], + attack_fn=attacks[attack_fn], # type: ignore magnitude=cfg.server.magnitude, client_manager=SimpleClientManager(), strategy=strategy, @@ -158,7 +156,7 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): ) -def fit_config(server_round: int) -> Dict[str, Scalar]: +def fit_config(server_round): """Return a configuration with static batch size and (local) epochs.""" config = { "epochs": 1, # number of local epochs diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index 84d113c348eb..25b7a0550df6 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -5,17 +5,10 @@ """ import timeit from logging import DEBUG, INFO -from typing import Any, Callable, Dict, List, Optional, Tuple, Union +from typing import Any, Callable, List, Tuple, Union import numpy as np -from flwr.common import ( - DisconnectRes, - EvaluateRes, - FitRes, - Parameters, - Scalar, - parameters_to_ndarrays, -) +from flwr.common import DisconnectRes, EvaluateRes, FitRes, parameters_to_ndarrays from flwr.common.logger import log from flwr.server.client_proxy import ClientProxy from flwr.server.history import History @@ -88,8 +81,8 @@ def __init__( self.warmup_rounds = warmup_rounds self.attack_fn = attack_fn self.sampling = sampling - self.aggregated_parameters = [] - self.params_indexes = [] + self.aggregated_parameters: List = [] + self.params_indexes: List = [] self.history_dir = history_dir self.dataset_name = dataset_name self.magnitude = magnitude @@ -101,7 +94,7 @@ def __init__( self.output_dir = f"{output_dir}/outputs" # pylint: disable=too-many-locals - def fit(self, num_rounds: int, timeout: Optional[float]) -> History: + def fit(self, num_rounds, timeout): """Run federated averaging for a number of rounds.""" history = History() @@ -187,11 +180,9 @@ def fit(self, num_rounds: int, timeout: Optional[float]) -> History: def fit_round( self, - server_round: int, - timeout: Optional[float], - ) -> Optional[ - Tuple[Optional[Parameters], Dict[str, Scalar], FitResultsAndFailures] - ]: + server_round, + timeout, + ): """Perform a single round of federated learning.""" # Get clients and their respective instructions from strategy client_instructions = self.strategy.configure_fit( @@ -232,8 +223,6 @@ def fit_round( else: ins.config["malicious"] = False - for proxy, ins in client_instructions: - log(INFO, f"Client {proxy.cid} malicious: {ins.config['malicious']}") # Collect `fit` results from all clients participating in this round results, failures = fit_clients( client_instructions=client_instructions, @@ -268,15 +257,9 @@ def fit_round( params = params[self.params_indexes] - log( - INFO, - f"Saving parameters of client {fitres.metrics['cid']} with" - f"shape {params.shape}", - ) save_params(params, fitres.metrics["cid"], dir=self.history_dir) # Re-arrange results in the same order as clients' cids impose - log(INFO, "Re-arranging results in the same order as clients' cids impose") ordered_results[int(fitres.metrics["cid"])] = (proxy, fitres) # Initialize aggregated_parameters if it is the first round diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index b9538c24b3ef..4682a9ca3f32 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -60,7 +60,7 @@ def __init__( maxiter: int = 100, alpha: float = 1, beta: float = 1, - distance_function: Callable = None, + distance_function=None, output_dir: str = "results", ) -> None: """Initialize FLANDERS. diff --git a/baselines/flanders/flanders/utils.py b/baselines/flanders/flanders/utils.py index 5dd43b0949ec..af3d3056cbdf 100644 --- a/baselines/flanders/flanders/utils.py +++ b/baselines/flanders/flanders/utils.py @@ -2,12 +2,12 @@ import os from threading import Lock -from typing import Dict, Optional, Tuple +from typing import Callable, Dict, Optional, Tuple import numpy as np import pandas as pd import torch -from flwr.common import Callable, NDArrays, Parameters, Scalar, parameters_to_ndarrays +from flwr.common import NDArrays, Parameters, Scalar, parameters_to_ndarrays from natsort import natsorted from sklearn.linear_model import ElasticNet, LogisticRegression from sklearn.metrics import ( @@ -140,7 +140,7 @@ def evaluate_aggregated( server_round: int, parameters: Parameters, config: Dict[str, Scalar], -) -> Optional[Tuple[float, Dict[str, Scalar]]]: +): """Evaluate model parameters using an evaluation function.""" if evaluate_fn is None: # No evaluation function provided @@ -177,7 +177,7 @@ def mnist_evaluate( def cifar_evaluate( server_round: int, parameters: NDArrays, config: Dict[str, Scalar], output_dir: str -) -> Optional[Tuple[float, float]]: +): """Evaluate CIFAR-10 model on the test set.""" device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") @@ -199,7 +199,7 @@ def cifar_evaluate( def income_evaluate( server_round: int, parameters: NDArrays, config: Dict[str, Scalar], output_dir: str -) -> Optional[Tuple[float, float]]: +): """Evaluate Income model on the test set.""" model = LogisticRegression() model = set_sklearn_model_params(model, parameters) @@ -224,7 +224,7 @@ def income_evaluate( def house_evaluate( server_round: int, parameters: NDArrays, config: Dict[str, Scalar], output_dir: str -) -> Optional[Tuple[float, float]]: +): """Evaluate House model on the test set.""" model = ElasticNet(alpha=1, warm_start=True) model = set_sklearn_model_params(model, parameters) From f6093c12916e74e2f48457d0c18d017f4ac0702f Mon Sep 17 00:00:00 2001 From: edogab33 Date: Fri, 22 Dec 2023 18:18:14 +0100 Subject: [PATCH 32/91] fix mypy errors --- baselines/flanders/flanders/strategy.py | 150 +++++++++++++++++++----- 1 file changed, 121 insertions(+), 29 deletions(-) diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index 4682a9ca3f32..01184ad72370 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -1,22 +1,26 @@ """FLANDERS strategy.""" -from logging import INFO +import typing +from logging import INFO, WARNING from typing import Callable, Dict, List, Optional, Tuple, Union import numpy as np from flwr.common import ( + EvaluateIns, + EvaluateRes, FitIns, FitRes, MetricsAggregationFn, NDArrays, Parameters, Scalar, + ndarrays_to_parameters, parameters_to_ndarrays, ) from flwr.common.logger import log from flwr.server.client_manager import ClientManager from flwr.server.client_proxy import ClientProxy -from flwr.server.strategy.fedavg import FedAvg +from flwr.server.strategy.aggregate import aggregate, weighted_loss_avg from .utils import load_all_time_series @@ -28,7 +32,7 @@ """ -class Flanders(FedAvg): +class Flanders: """Aggregation function based on MAR. Take a look at the paper for more details about the parameters. @@ -37,7 +41,6 @@ class Flanders(FedAvg): # pylint: disable=too-many-arguments,too-many-instance-attributes def __init__( self, - *, fraction_fit: float = 1.0, fraction_evaluate: float = 1.0, min_fit_clients: int = 2, @@ -115,20 +118,18 @@ def __init__( Distance function used to compute the distance between predicted params and real ones, by default None """ - super().__init__( - fraction_fit=fraction_fit, - fraction_evaluate=fraction_evaluate, - min_fit_clients=min_fit_clients, - min_evaluate_clients=min_evaluate_clients, - min_available_clients=min_available_clients, - evaluate_fn=evaluate_fn, - on_fit_config_fn=on_fit_config_fn, - on_evaluate_config_fn=on_evaluate_config_fn, - accept_failures=accept_failures, - initial_parameters=initial_parameters, - fit_metrics_aggregation_fn=fit_metrics_aggregation_fn, - evaluate_metrics_aggregation_fn=evaluate_metrics_aggregation_fn, - ) + self.fraction_fit = fraction_fit + self.fraction_evaluate = fraction_evaluate + self.min_fit_clients = min_fit_clients + self.min_evaluate_clients = min_evaluate_clients + self.min_available_clients = min_available_clients + self.evaluate_fn = evaluate_fn + self.on_fit_config_fn = on_fit_config_fn + self.on_evaluate_config_fn = on_evaluate_config_fn + self.accept_failures = accept_failures + self.initial_parameters = initial_parameters + self.fit_metrics_aggregation_fn = fit_metrics_aggregation_fn + self.evaluate_metrics_aggregation_fn = evaluate_metrics_aggregation_fn self.to_keep = to_keep self.window = window self.maxiter = maxiter @@ -138,6 +139,33 @@ def __init__( self.malicious_selected = False self.distance_function = distance_function + def __repr__(self) -> str: + """Compute a string representation of the strategy.""" + rep = f"FLANDERS(accept_failures={self.accept_failures})" + return rep + + @typing.no_type_check + def num_fit_clients(self, num_available_clients: int) -> Tuple[int, int]: + """Return the sample size and the required number of available clients.""" + num_clients = int(num_available_clients * self.fraction_fit) + return max(num_clients, self.min_fit_clients), self.min_available_clients + + @typing.no_type_check + def num_evaluation_clients(self, num_available_clients: int) -> Tuple[int, int]: + """Use a fraction of available clients for evaluation.""" + num_clients = int(num_available_clients * self.fraction_evaluate) + return max(num_clients, self.min_evaluate_clients), self.min_available_clients + + @typing.no_type_check + def initialize_parameters( + self, client_manager: ClientManager + ) -> Optional[Parameters]: + """Initialize global model parameters.""" + initial_parameters = self.initial_parameters + self.initial_parameters = None # Don't keep initial parameters in memory + return initial_parameters + + @typing.no_type_check def configure_fit( self, server_round: int, parameters: Parameters, client_manager: ClientManager ) -> List[Tuple[ClientProxy, FitIns]]: @@ -165,6 +193,7 @@ def configure_fit( # Return client/config pairs return [(client, fit) for client, fit in zip(clients, fit_ins_list)] + @typing.no_type_check def aggregate_fit( self, server_round: int, @@ -226,16 +255,21 @@ def aggregate_fit( results = np.array(results)[good_clients_idx].tolist() log(INFO, f"Good clients: {good_clients_idx}") - # Apply FedAvg for the remaining clients - log(INFO, "Applying FedAvg for the remaining clients") - parameters_aggregated, metrics_aggregated = super().aggregate_fit( - server_round, results, failures - ) - else: - # Apply FedAvg on every clients' params during the first round - parameters_aggregated, metrics_aggregated = super().aggregate_fit( - server_round, results, failures - ) + log(INFO, "Applying FedAvg") + # Convert results + weights_results = [ + (parameters_to_ndarrays(fit_res.parameters), fit_res.num_examples) + for _, fit_res in results + ] + parameters_aggregated = ndarrays_to_parameters(aggregate(weights_results)) + + # Aggregate custom metrics if aggregation fn was provided + metrics_aggregated = {} + if self.fit_metrics_aggregation_fn: + fit_metrics = [(res.num_examples, res.metrics) for _, res in results] + metrics_aggregated = self.fit_metrics_aggregation_f(fit_metrics) + elif server_round == 1: # Only log this warning once + log(WARNING, "No fit_metrics_aggregation_fn provided") return ( parameters_aggregated, @@ -244,6 +278,33 @@ def aggregate_fit( malicious_clients_idx, ) + @typing.no_type_check + def configure_evaluate( + self, server_round: int, parameters: Parameters, client_manager: ClientManager + ) -> List[Tuple[ClientProxy, EvaluateIns]]: + """Configure the next round of evaluation.""" + # Do not configure federated evaluation if fraction eval is 0. + if self.fraction_evaluate == 0.0: + return [] + + # Parameters and config + config = {} + if self.on_evaluate_config_fn is not None: + # Custom evaluation config function provided + config = self.on_evaluate_config_fn(server_round) + evaluate_ins = EvaluateIns(parameters, config) + + # Sample clients + sample_size, min_num_clients = self.num_evaluation_clients( + client_manager.num_available() + ) + clients = client_manager.sample( + num_clients=sample_size, min_num_clients=min_num_clients + ) + + # Return client/config pairs + return [(client, evaluate_ins) for client in clients] + def evaluate( self, server_round: int, @@ -261,12 +322,43 @@ def evaluate( eval_res = self.evaluate_fn( server_round, parameters_to_ndarrays(parameters), config, output_dir - ) + ) # type: ignore [call-arg] if eval_res is None: return None loss, metrics = eval_res return loss, metrics + def aggregate_evaluate( + self, + server_round: int, + results: List[Tuple[ClientProxy, EvaluateRes]], + failures: List[Union[Tuple[ClientProxy, EvaluateRes], BaseException]], + ) -> Tuple[Optional[float], Dict[str, Scalar]]: + """Aggregate evaluation losses using weighted average.""" + if not results: + return None, {} + # Do not aggregate if there are failures and failures are not accepted + if not self.accept_failures and failures: + return None, {} + + # Aggregate loss + loss_aggregated = weighted_loss_avg( + [ + (evaluate_res.num_examples, evaluate_res.loss) + for _, evaluate_res in results + ] + ) + + # Aggregate custom metrics if aggregation fn was provided + metrics_aggregated = {} + if self.evaluate_metrics_aggregation_fn: + eval_metrics = [(res.num_examples, res.metrics) for _, res in results] + metrics_aggregated = self.evaluate_metrics_aggregation_fn(eval_metrics) + elif server_round == 1: # Only log this warning once + log(WARNING, "No evaluate_metrics_aggregation_fn provided") + + return loss_aggregated, metrics_aggregated + def mar(X, pred_step, alpha=1, beta=1, maxiter=100, window=0): """Forecast the next tensor of params. From 7821a7968a349ced346a0622897d29f1f0456c87 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Sat, 23 Dec 2023 17:55:30 +0100 Subject: [PATCH 33/91] Fix pylint errors --- baselines/flanders/flanders/attacks.py | 144 +++++++++++++++--------- baselines/flanders/flanders/client.py | 2 + baselines/flanders/flanders/dataset.py | 51 +++++---- baselines/flanders/flanders/main.py | 17 +-- baselines/flanders/flanders/models.py | 14 ++- baselines/flanders/flanders/server.py | 19 +++- baselines/flanders/flanders/strategy.py | 38 ++++--- baselines/flanders/flanders/utils.py | 22 ++-- 8 files changed, 183 insertions(+), 124 deletions(-) diff --git a/baselines/flanders/flanders/attacks.py b/baselines/flanders/flanders/attacks.py index 99cfac0c81e5..47e23270f1bb 100644 --- a/baselines/flanders/flanders/attacks.py +++ b/baselines/flanders/flanders/attacks.py @@ -9,6 +9,7 @@ from scipy.stats import norm +# pylint: disable=unused-argument def no_attack( ordered_results: List[Tuple[ClientProxy, FitRes]], states: Dict[str, bool], **kwargs ): @@ -39,8 +40,8 @@ def gaussian_attack(ordered_results, states, **kwargs): dataset_name = kwargs.get("dataset_name", "no name") results = ordered_results.copy() - def perturbate(a): - return a + np.random.normal(loc=0, scale=magnitude, size=len(a)) + def perturbate(vect): + return vect + np.random.normal(loc=0, scale=magnitude, size=len(vect)) for proxy, fitres in ordered_results: if states[fitres.metrics["cid"]]: @@ -49,13 +50,14 @@ def perturbate(a): new_params = [perturbate(layer) for layer in params] else: new_params = [] - for p in params: - new_params.append(np.apply_along_axis(perturbate, 0, p)) + for par in params: + new_params.append(np.apply_along_axis(perturbate, 0, par)) fitres.parameters = ndarrays_to_parameters(new_params) results[int(fitres.metrics["cid"])] = (proxy, fitres) return results, {} +# pylint: disable=too-many-locals, unused-argument def lie_attack( ordered_results, states, @@ -92,11 +94,14 @@ def lie_attack( if states[results[i][1].metrics["cid"]] ] - n = len(ordered_results) # number of clients - m = sum(val is True for val in states.values()) # number of corrupted clients - s = math.floor((n / 2) + 1) - m # number of supporters + num_clients = len(ordered_results) + num_malicious = sum(val is True for val in states.values()) + # pylint: disable=c-extension-no-member + num_supporters = math.floor((num_clients / 2) + 1) - num_malicious - z_max = norm.cdf((n - m - s) / (n - m)) + z_max = norm.cdf( + (num_clients - num_malicious - num_supporters) / (num_clients - num_malicious) + ) for proxy, fitres in ordered_results: if states[fitres.metrics["cid"]]: @@ -129,7 +134,7 @@ def fang_attack( otherwise). omniscent Whether the attacker knows the local models of all clients or not. - d + num_params Number of parameters. w_re The received global model. @@ -145,7 +150,7 @@ def fang_attack( results List of tuples (client_proxy, fit_result) ordered by client id. """ - d = kwargs.get("d", 1) + num_params = kwargs.get("num_params", 1) w_re = kwargs.get("w_re", None) # the received global model old_lambda = kwargs.get("old_lambda", 0.0) threshold = kwargs.get("threshold", 0.0) @@ -160,12 +165,12 @@ def fang_attack( if states[ordered_results[i][1].metrics["cid"]] ] - n = len(ordered_results) # number of clients - c = sum(val is True for val in states.values()) # number of corrupted clients - if c < 2: - # there can't be an attack with less than 2 malicious clients - # to avoid division by 0 - c = 2 + num_clients = len(ordered_results) + num_corrupted = sum(val is True for val in states.values()) + + # there can't be an attack with less than 2 malicious clients + # to avoid division by 0 + num_corrupted = max(num_corrupted, 2) # lambda initialization if old_lambda == 0: @@ -174,29 +179,29 @@ def fang_attack( for _, fitres in ordered_results if states[fitres.metrics["cid"]] is False ] - all = [ + all_params = [ (parameters_to_ndarrays(fitres.parameters), fitres.num_examples) for _, fitres in ordered_results ] # Compute the smallest distance that Krum would choose - _, _, _, distances = _krum(all, c, 1) + _, _, _, distances = _krum(all_params, num_corrupted, 1) idx_benign = [int(cid) for cid in states.keys() if states[cid] is False] min_dist = np.min(np.array(distances)[idx_benign]) / ( - (n - 2 * c - 1) * np.sqrt(d) + (num_clients - 2 * num_corrupted - 1) * np.sqrt(num_params) ) # Compute max distance from w_re dist_wre = np.zeros((len(benign))) for i in range(len(benign)): - dist = [benign[i][0][j] - w_re[j] for j in range(d)] + dist = [benign[i][0][j] - w_re[j] for j in range(num_params)] norm_sums = 0 for k in dist: norm_sums += np.linalg.norm(k) dist_wre[i] = norm_sums**2 - max_dist = np.max(dist_wre) / np.sqrt(d) + max_dist = np.max(dist_wre) / np.sqrt(num_params) curr_lambda = min_dist + max_dist # lambda else: # lambda halving search @@ -204,9 +209,9 @@ def fang_attack( if old_lambda > threshold and malicious_selected is False: curr_lambda = old_lambda * 0.5 - # Compute sign vector s + # Compute sign vector num_supporters magnitude = [] - for i in range(len(w_re)): + for _, _idx in enumerate(w_re): magnitude.append(np.sign(w_re[i]) * curr_lambda) w_1 = [w_re[i] - magnitude[i] for i in range(len(w_re))] # corrupted model @@ -306,44 +311,66 @@ def minmax_attack( and malicious_num > 0 ): # Compute malicious gradients - pv = [curr_lambda * perturbation_vect[i] for i in range(len(perturbation_vect))] - corrupted_params = [params_avg[i] + pv[i] for i in range(len(params_avg))] + perturbed_params = [ + curr_lambda * perturbation_vect[i] for i in range(len(perturbation_vect)) + ] + corrupted_params = [ + params_avg[i] + perturbed_params[i] for i in range(len(params_avg)) + ] # Set corrupted clients' updates to corrupted_params params_c = [ corrupted_params if states[i] else params[i] for i in range(len(params)) ] - M = _compute_distances(params_c) - - # Remove from matrix M all malicious clients in both rows and columns - M_b = np.delete( - M, - [i for i in range(len(M)) if states[results[i][1].metrics["cid"]]], + distance_matrix = _compute_distances(params_c) + + # Remove from matrix distance_matrix all malicious clients in both + # rows and columns + distance_matrix_b = np.delete( + distance_matrix, + [ + i + for i in range(len(distance_matrix)) + if states[results[i][1].metrics["cid"]] + ], axis=0, ) - M_b = np.delete( - M_b, - [i for i in range(len(M)) if states[results[i][1].metrics["cid"]]], + distance_matrix_b = np.delete( + distance_matrix_b, + [ + i + for i in range(len(distance_matrix)) + if states[results[i][1].metrics["cid"]] + ], axis=1, ) - # Remove from M all benign clients on rows and all malicious on columns - M_m = np.delete( - M, - [i for i in range(len(M)) if not states[results[i][1].metrics["cid"]]], + # Remove from distance_matrix all benign clients on + # rows and all malicious on columns + distance_matrix_m = np.delete( + distance_matrix, + [ + i + for i in range(len(distance_matrix)) + if not states[results[i][1].metrics["cid"]] + ], axis=0, ) - M_m = np.delete( - M_m, - [i for i in range(len(M)) if states[results[i][1].metrics["cid"]]], + distance_matrix_m = np.delete( + distance_matrix_m, + [ + i + for i in range(len(distance_matrix)) + if states[results[i][1].metrics["cid"]] + ], axis=1, ) # Take the maximum distance between any benign client and any malicious one - max_dist_m = np.max(M_m) + max_dist_m = np.max(distance_matrix_m) # Take the maximum distance between any two benign clients - max_dist_b = np.max(M_b) + max_dist_b = np.max(distance_matrix_b) # Compute lambda (best scaling coefficient) if max_dist_m < max_dist_b: @@ -370,24 +397,29 @@ def minmax_attack( return results, {"lambda": curr_lambda} -def _krum(results, m, to_keep, num_closest=None): +def _krum(results, num_malicious, to_keep, num_closest=None): """Get the best parameters vector according to the Krum function. Output: the best parameters vector. """ weights = [w for w, _ in results] # list of weights - M = _compute_distances(weights) # matrix of distances + distance_matrix = _compute_distances(weights) # matrix of distances if not num_closest: - num_closest = len(weights) - m - 2 # number of closest points to use + num_closest = ( + len(weights) - num_malicious - 2 + ) # number of closest points to use if num_closest <= 0: num_closest = 1 elif num_closest > len(weights): num_closest = len(weights) - closest_indices = _get_closest_indices(M, num_closest) # indices of closest points + closest_indices = _get_closest_indices( + distance_matrix, num_closest + ) # indices of closest points scores = [ - np.sum(M[i, closest_indices[i]]) for i in range(len(M)) + np.sum(distance_matrix[i, closest_indices[i]]) + for i in range(len(distance_matrix)) ] # scores i->j for each i best_index = np.argmin(scores) # index of the best score @@ -403,21 +435,21 @@ def _compute_distances(weights): Input: weights - list of weights vectors Output: distances - matrix distance_matrix of squared distances between the vectors """ - flat_w = np.array([np.concatenate(p, axis=None).ravel() for p in weights]) + flat_w = np.array([np.concatenate(par, axis=None).ravel() for par in weights]) distance_matrix = np.zeros((len(weights), len(weights))) for i, _ in enumerate(flat_w): for j, _ in enumerate(flat_w): delta = flat_w[i] - flat_w[j] - norm = np.linalg.norm(delta) - distance_matrix[i, j] = norm**2 + dist = np.linalg.norm(delta) + distance_matrix[i, j] = dist**2 return distance_matrix -def _get_closest_indices(M, num_closest): +def _get_closest_indices(distance_matrix, num_closest): """Get the indices of the closest points. Args: - M + distance_matrix matrix of distances num_closest number of closest points to get for each parameter vector @@ -426,6 +458,8 @@ def _get_closest_indices(M, num_closest): list of lists of indices of the closest points for each vector. """ closest_indices = [] - for i in range(len(M)): - closest_indices.append(np.argsort(M[i])[1 : num_closest + 1].tolist()) + for _, idx in enumerate(distance_matrix): + closest_indices.append( + np.argsort(distance_matrix[idx])[1 : num_closest + 1].tolist() + ) return closest_indices diff --git a/baselines/flanders/flanders/client.py b/baselines/flanders/flanders/client.py index f08b1286f37f..e45397a809d9 100644 --- a/baselines/flanders/flanders/client.py +++ b/baselines/flanders/flanders/client.py @@ -220,6 +220,7 @@ def evaluate(self, parameters, config): class IncomeClient(fl.client.NumPyClient): """Implementation income classification using scikit-learn.""" + # pylint: disable=too-many-arguments def __init__(self, cid: str, x_train, y_train, x_test, y_test): """Instantiate a client for the income dataset.""" self.model = LogisticRegression( @@ -261,6 +262,7 @@ def evaluate(self, parameters, config): class HouseClient(fl.client.NumPyClient): """Implementation of house price prediction using scikit-learn.""" + # pylint: disable=too-many-arguments def __init__(self, cid: str, x_train, y_train, x_test, y_test): """Instantiate a client for the house dataset.""" self.model = ElasticNet(alpha=1, max_iter=1, warm_start=True) diff --git a/baselines/flanders/flanders/dataset.py b/baselines/flanders/flanders/dataset.py index 3700bebef283..6670553b3a69 100644 --- a/baselines/flanders/flanders/dataset.py +++ b/baselines/flanders/flanders/dataset.py @@ -39,11 +39,11 @@ def __len__(self): def get_dataset(path_to_data: Path, cid: str, partition: str): - """Return TorchVision_FL dataset object.""" + """Return TorchVisionFL dataset object.""" # generate path to cid's data path_to_data = path_to_data / cid / (partition + ".pt") - return TorchVision_FL(path_to_data, transform=cifar10Transformation()) + return TorchVisionFL(path_to_data, transform=cifar10_transformation()) def get_dataloader( @@ -78,6 +78,7 @@ def get_random_id_splits(total: int, val_ratio: float, shuffle: bool = True): return indices[split:], indices[:split] +# pylint: disable=too-many-arguments, too-many-locals def do_fl_partitioning( path_to_dataset, pool_size, alpha, num_classes, val_ratio=0.0, seed=None ): @@ -108,13 +109,13 @@ def do_fl_partitioning( shutil.rmtree(splits_dir) Path.mkdir(splits_dir, parents=True) - for p in range(pool_size): - labels = partitions[p][1] - image_idx = partitions[p][0] + for _, idx in enumerate(pool_size): + labels = partitions[idx][1] + image_idx = partitions[idx][0] imgs = images[image_idx] # create dir - Path.mkdir(splits_dir / str(p)) + Path.mkdir(splits_dir / str(idx)) if val_ratio > 0.0: # split data according to val_ratio @@ -122,20 +123,20 @@ def do_fl_partitioning( val_imgs = imgs[val_idx] val_labels = labels[val_idx] - with open(splits_dir / str(p) / "val.pt", "wb") as f: - torch.save([val_imgs, val_labels], f) + with open(splits_dir / str(idx) / "val.pt", "wb") as fil: + torch.save([val_imgs, val_labels], fil) # remaining images for training imgs = imgs[train_idx] labels = labels[train_idx] - with open(splits_dir / str(p) / "train.pt", "wb") as f: - torch.save([imgs, labels], f) + with open(splits_dir / str(idx) / "train.pt", "wb") as fil: + torch.save([imgs, labels], fil) return splits_dir -def cifar10Transformation(): +def cifar10_transformation(): """Return a torchvision.transforms object for CIFAR10 dataset.""" return transforms.Compose( [ @@ -145,7 +146,7 @@ def cifar10Transformation(): ) -class TorchVision_FL(VisionDataset): +class TorchVisionFL(VisionDataset): """TorchVision FL class. Use this class by either passing a path to a torch file (.pt) containing @@ -163,7 +164,7 @@ def __init__( ) -> None: """Initialize dataset.""" path = path_to_data.parent if path_to_data else None - super(TorchVision_FL, self).__init__(path, transform=transform) + super().__init__(path, transform=transform) self.transform = transform if path_to_data: @@ -210,7 +211,7 @@ def get_cifar_10(path_to_data="flanders/datasets_files/cifar_10/data"): torch.save([train_set.data, np.array(train_set.targets)], training_data) test_set = datasets.CIFAR10( - root=path_to_data, train=False, transform=cifar10Transformation() + root=path_to_data, train=False, transform=cifar10_transformation() ) # returns path where training data is and testset @@ -327,7 +328,7 @@ def get_partitioned_income(path: str, pool_size: int, train_size=0.8, test_size= Y = data["income"] data = data.loc[:, data.columns != "income"] - X_train, X_test, y_train, y_test = [], [], [], [] + x_train, x_test, y_train, y_test = [], [], [], [] train_size = int((len(data) * train_size) // pool_size) + 2 test_size = int((len(data) * test_size) // pool_size) - 2 for i in range(pool_size): @@ -340,12 +341,12 @@ def get_partitioned_income(path: str, pool_size: int, train_size=0.8, test_size= shuffle=True, stratify=Y, ) - X_train.append(xtrain) - X_test.append(xtest) + x_train.append(xtrain) + x_test.append(xtest) y_train.append(ytrain) y_test.append(ytest) - return X_train, X_test, y_train, y_test + return x_train, x_test, y_train, y_test def get_partitioned_house(path: str, pool_size: int, train_size=0.8, test_size=0.2): @@ -354,7 +355,7 @@ def get_partitioned_house(path: str, pool_size: int, train_size=0.8, test_size=0 Y = data["median_house_value"].values data = data.drop(["median_house_value"], axis=1).values - X_train, X_test, y_train, y_test = [], [], [], [] + x_train, x_test, y_train, y_test = [], [], [], [] train_size = int((len(data) * train_size) // pool_size) + 2 test_size = int((len(data) * test_size) // pool_size) - 2 for i in range(pool_size): @@ -366,13 +367,13 @@ def get_partitioned_house(path: str, pool_size: int, train_size=0.8, test_size=0 random_state=i, shuffle=True, ) - sd = preprocessing.RobustScaler() - xtrain = sd.fit_transform(xtrain) - xtest = sd.fit_transform(xtest) + transf = preprocessing.RobustScaler() + xtrain = transf.fit_transform(xtrain) + xtest = transf.fit_transform(xtest) - X_train.append(xtrain) - X_test.append(xtest) + x_train.append(xtrain) + x_test.append(xtest) y_train.append(ytrain) y_test.append(ytest) - return X_train, X_test, y_train, y_test + return x_train, x_test, y_train, y_test diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 5929336d9718..3a994d395bde 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -31,6 +31,7 @@ ) +# pylint: disable=too-many-locals @hydra.main(config_path="conf", config_name="base", version_base=None) def main(cfg: DictConfig) -> None: """Run the baseline. @@ -70,7 +71,7 @@ def main(cfg: DictConfig) -> None: # 2. Prepare your dataset if dataset_name == "cifar": - train_path, testset = get_cifar_10() + train_path, _ = get_cifar_10() fed_dir = do_fl_partitioning( train_path, pool_size=cfg.server.pool_size, @@ -80,15 +81,16 @@ def main(cfg: DictConfig) -> None: seed=1234, ) elif dataset_name == "income": - X_train, X_test, y_train, y_test = get_partitioned_income( + x_train, x_test, y_train, y_test = get_partitioned_income( "flanders/datasets_files/adult.csv", cfg.server.pool_size ) elif dataset_name == "house": - X_train, X_test, y_train, y_test = get_partitioned_house( + x_train, x_test, y_train, y_test = get_partitioned_house( "flanders/datasets_files/houses_preprocessed.csv", cfg.server.pool_size ) # 3. Define your clients + # pylint: disable=no-else-return def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): client = clients[dataset_name][0] cid_idx = int(cid) @@ -99,17 +101,17 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): elif dataset_name == "income": return client( cid, - X_train[cid_idx], + x_train[cid_idx], y_train[cid_idx], - X_test[cid_idx], + x_test[cid_idx], y_test[cid_idx], ) elif dataset_name == "house": return client( cid, - X_train[cid_idx], + x_train[cid_idx], y_train[cid_idx], - X_test[cid_idx], + x_test[cid_idx], y_test[cid_idx], ) else: @@ -156,6 +158,7 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): ) +# pylint: disable=unused-argument def fit_config(server_round): """Return a configuration with static batch size and (local) epochs.""" config = { diff --git a/baselines/flanders/flanders/models.py b/baselines/flanders/flanders/models.py index 59ccbd80b021..b6109c51bd2b 100644 --- a/baselines/flanders/flanders/models.py +++ b/baselines/flanders/flanders/models.py @@ -10,10 +10,10 @@ def roc_auc_multiclass(y_true, y_pred): """Compute the ROC AUC for multiclass classification.""" - lb = LabelBinarizer() - lb.fit(y_true) - y_true = lb.transform(y_true) - y_pred = lb.transform(y_pred) + l_b = LabelBinarizer() + l_b.fit(y_true) + y_true = l_b.transform(y_true) + y_pred = l_b.transform(y_pred) return roc_auc_score(y_true, y_pred, multi_class="ovr") @@ -23,7 +23,7 @@ class MnistNet(nn.Module): def __init__(self): """Initialize the model.""" - super(MnistNet, self).__init__() + super().__init__() # number of hidden nodes in each layer (512) hidden_1 = 128 hidden_2 = 256 @@ -84,6 +84,7 @@ def train_mnist(model, dataloader, epochs, device): ) +# pylint: disable=too-many-locals def test_mnist(model, dataloader, device): """Validate the network on the entire test set.""" loss = 0 @@ -117,7 +118,7 @@ class CifarNet(nn.Module): """Simple CNN for CIFAR-10.""" def __init__(self) -> None: - super(CifarNet, self).__init__() + super().__init__() self.conv1 = nn.Conv2d(3, 6, 5) self.pool = nn.MaxPool2d(2, 2) self.conv2 = nn.Conv2d(6, 16, 5) @@ -152,6 +153,7 @@ def train_cifar(net, trainloader, epochs, device: str): # borrowed from Pytorch quickstart example +# pylint: disable=too-many-locals def test_cifar(net, testloader, device: str): """Validate the network on the entire test set.""" criterion = torch.nn.CrossEntropyLoss() diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index 25b7a0550df6..4b69ff352297 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -33,12 +33,14 @@ class EnhancedServer(Server): """Server with enhanced functionality.""" + # pylint: disable=too-many-arguments,too-many-instance-attributes def __init__( self, num_malicious: int, warmup_rounds: int, attack_fn: Callable, dataset_name: str, + *args: Any, threshold: float = 0.0, to_keep: int = 1, magnitude: float = 0.0, @@ -46,7 +48,6 @@ def __init__( history_dir: str = "clients_params", omniscent: bool = True, output_dir: str = "results", - *args: Any, **kwargs: Any, ) -> None: """Create a new EnhancedServer instance. @@ -92,6 +93,7 @@ def __init__( self.to_keep = to_keep self.omniscent = omniscent self.output_dir = f"{output_dir}/outputs" + self.malicious_lst: List = [] # pylint: disable=too-many-locals def fit(self, num_rounds, timeout): @@ -178,11 +180,13 @@ def fit(self, num_rounds, timeout): log(INFO, "FL finished in %s", elapsed) return history + # pylint: disable-msg=R0915 def fit_round( self, server_round, timeout, ): + # pylint: disable-msg=R0912 """Perform a single round of federated learning.""" # Get clients and their respective instructions from strategy client_instructions = self.strategy.configure_fit( @@ -257,7 +261,7 @@ def fit_round( params = params[self.params_indexes] - save_params(params, fitres.metrics["cid"], dir=self.history_dir) + save_params(params, fitres.metrics["cid"], params_dir=self.history_dir) # Re-arrange results in the same order as clients' cids impose ordered_results[int(fitres.metrics["cid"])] = (proxy, fitres) @@ -310,7 +314,7 @@ def fit_round( save_params( params, fitres.metrics["cid"], - dir=self.history_dir, + params_dir=self.history_dir, remove_last=True, ) else: @@ -340,8 +344,7 @@ def fit_round( if clients_state[str(idx)]: self.malicious_selected = True break - else: - self.malicious_selected = False + self.malicious_selected = False # For clients detected as malicious, set their parameters to be the # averaged ones in their files otherwise the forecasting in next round @@ -358,7 +361,11 @@ def fit_round( parameters_to_ndarrays(parameters_aggregated) ) save_params( - new_params, idx, dir=self.history_dir, remove_last=True, rrl=True + new_params, + idx, + params_dir=self.history_dir, + remove_last=True, + rrl=True, ) return parameters_aggregated, metrics_aggregated, (results, failures) diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index 01184ad72370..b7f5e7f959ce 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -38,7 +38,7 @@ class Flanders: Take a look at the paper for more details about the parameters. """ - # pylint: disable=too-many-arguments,too-many-instance-attributes + # pylint: disable=too-many-arguments,too-many-instance-attributes, too-many-locals def __init__( self, fraction_fit: float = 1.0, @@ -64,7 +64,6 @@ def __init__( alpha: float = 1, beta: float = 1, distance_function=None, - output_dir: str = "results", ) -> None: """Initialize FLANDERS. @@ -156,6 +155,7 @@ def num_evaluation_clients(self, num_available_clients: int) -> Tuple[int, int]: num_clients = int(num_available_clients * self.fraction_evaluate) return max(num_clients, self.min_evaluate_clients), self.min_available_clients + # pylint: disable=unused-argument @typing.no_type_check def initialize_parameters( self, client_manager: ClientManager @@ -191,8 +191,12 @@ def configure_fit( ) # Return client/config pairs - return [(client, fit) for client, fit in zip(clients, fit_ins_list)] + result = [] + for client, fit in zip(clients, fit_ins_list): + result.append((client, fit)) + return result + # pylint: disable=too-many-locals @typing.no_type_check def aggregate_fit( self, @@ -227,14 +231,18 @@ def aggregate_fit( win = self.window if server_round < self.window: win = server_round - M = load_all_time_series(dir="clients_params", window=win) - M = np.transpose(M, (0, 2, 1)) # (clients, params, time) + params_tensor = load_all_time_series( + params_dir="clients_params", window=win + ) + params_tensor = np.transpose( + params_tensor, (0, 2, 1) + ) # (clients, params, time) - M_hat = M[:, :, -1].copy() + ground_truth = params_tensor[:, :, -1].copy() pred_step = 1 - log(INFO, f"Computing MAR on M {M.shape}") - Mr = mar( - M[:, :, :-1], + log(INFO, f"Computing MAR on params_tensor {params_tensor.shape}") + predicted_matrix = mar( + params_tensor[:, :, :-1], pred_step, maxiter=self.maxiter, alpha=self.alpha, @@ -242,7 +250,9 @@ def aggregate_fit( ) log(INFO, "Computing anomaly scores") - anomaly_scores = self.distance_function(M_hat, Mr[:, :, 0]) + anomaly_scores = self.distance_function( + ground_truth, predicted_matrix[:, :, 0] + ) log(INFO, f"Anomaly scores: {anomaly_scores}") log(INFO, "Selecting good clients") @@ -267,7 +277,7 @@ def aggregate_fit( metrics_aggregated = {} if self.fit_metrics_aggregation_fn: fit_metrics = [(res.num_examples, res.metrics) for _, res in results] - metrics_aggregated = self.fit_metrics_aggregation_f(fit_metrics) + metrics_aggregated = self.fit_metrics_aggregation_fn(fit_metrics) elif server_round == 1: # Only log this warning once log(WARNING, "No fit_metrics_aggregation_fn provided") @@ -335,10 +345,7 @@ def aggregate_evaluate( failures: List[Union[Tuple[ClientProxy, EvaluateRes], BaseException]], ) -> Tuple[Optional[float], Dict[str, Scalar]]: """Aggregate evaluation losses using weighted average.""" - if not results: - return None, {} - # Do not aggregate if there are failures and failures are not accepted - if not self.accept_failures and failures: + if (not results) or (not self.accept_failures and failures): return None, {} # Aggregate loss @@ -360,6 +367,7 @@ def aggregate_evaluate( return loss_aggregated, metrics_aggregated +# pylint: disable=too-many-locals, too-many-arguments, invalid-name def mar(X, pred_step, alpha=1, beta=1, maxiter=100, window=0): """Forecast the next tensor of params. diff --git a/baselines/flanders/flanders/utils.py b/baselines/flanders/flanders/utils.py index af3d3056cbdf..526a5ba699db 100644 --- a/baselines/flanders/flanders/utils.py +++ b/baselines/flanders/flanders/utils.py @@ -49,7 +49,9 @@ def l2_norm(true_matrix, predicted_matrix): return anomaly_scores -def save_params(parameters, cid, dir="clients_params", remove_last=False, rrl=False): +def save_params( + parameters, cid, params_dir="clients_params", remove_last=False, rrl=False +): """Save parameters in a file. Args: @@ -63,9 +65,9 @@ def save_params(parameters, cid, dir="clients_params", remove_last=False, rrl=Fa """ new_params = parameters # Save parameters in clients_params/cid_params - path_file = f"{dir}/{cid}_params.npy" - if os.path.exists(dir) is False: - os.mkdir(dir) + path_file = f"{params_dir}/{cid}_params.npy" + if os.path.exists(params_dir) is False: + os.mkdir(params_dir) if os.path.exists(path_file): # load old parameters old_params = np.load(path_file, allow_pickle=True) @@ -97,7 +99,7 @@ def save_results(loss, accuracy, config=None, output_dir="results"): # Generate csv config["accuracy"] = accuracy config["loss"] = loss - df = pd.DataFrame.from_records([config]) + data = pd.DataFrame.from_records([config]) csv_path = f"{output_dir}/all_results.csv" # check that dir exists if os.path.exists(output_dir) is False: @@ -105,12 +107,12 @@ def save_results(loss, accuracy, config=None, output_dir="results"): # Lock is needed when multiple clients are running concurrently with lock: if os.path.exists(csv_path): - df.to_csv(csv_path, mode="a", header=False, index=False) + data.to_csv(csv_path, mode="a", header=False, index=False) else: - df.to_csv(csv_path, index=False, header=True) + data.to_csv(csv_path, index=False, header=True) -def load_all_time_series(dir="clients_params", window=0): +def load_all_time_series(params_dir="clients_params", window=0): """Load all time series. Load all time series in order to have a tensor of shape (m,T,n) @@ -119,11 +121,11 @@ def load_all_time_series(dir="clients_params", window=0): - m := number of clients; - n := number of parameters. """ - files = os.listdir(dir) + files = os.listdir(params_dir) files = natsorted(files) data = [] for file in files: - data.append(np.load(os.path.join(dir, file), allow_pickle=True)) + data.append(np.load(os.path.join(params_dir, file), allow_pickle=True)) return np.array(data)[:, -window:, :] From d4cf991e5366791517bbcbeb37d5b235172e0cdc Mon Sep 17 00:00:00 2001 From: edogab33 Date: Sat, 23 Dec 2023 18:46:56 +0100 Subject: [PATCH 34/91] Fix pylint --- baselines/flanders/flanders/models.py | 3 ++- baselines/flanders/flanders/server.py | 13 +++++++------ baselines/flanders/flanders/strategy.py | 6 +++--- 3 files changed, 12 insertions(+), 10 deletions(-) diff --git a/baselines/flanders/flanders/models.py b/baselines/flanders/flanders/models.py index b6109c51bd2b..727d14e6c719 100644 --- a/baselines/flanders/flanders/models.py +++ b/baselines/flanders/flanders/models.py @@ -17,7 +17,8 @@ def roc_auc_multiclass(y_true, y_pred): return roc_auc_score(y_true, y_pred, multi_class="ovr") -# Source: https://github.com/bladesteam/blades/blob/master/src/blades/models/mnist/mlp.py +# Source: +# github.com/bladesteam/blades/blob/master/src/blades/models/mnist/mlp.py class MnistNet(nn.Module): """Simple MLP for MNIST.""" diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index 4b69ff352297..4c2805f594d0 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -210,7 +210,7 @@ def fit_round( size = self.num_malicious if self.warmup_rounds > server_round: size = 0 - log(INFO, f"Selecting {size} malicious clients") + log(INFO, "Selecting %s malicious clients", size) self.malicious_lst = np.random.choice( [proxy.cid for proxy, _ in client_instructions], size=size, replace=False ) @@ -308,8 +308,9 @@ def fit_round( ) log( INFO, - f"Saving parameters of client {fitres.metrics['cid']}" - f"with shape {params.shape}", + "Saving parameters of client %s with shape %s", + fitres.metrics["cid"], + params.shape, ) save_params( params, @@ -323,7 +324,7 @@ def fit_round( # Sort clients states clients_state = {k: clients_state[k] for k in sorted(clients_state)} - log(INFO, f"Clients state: {clients_state}") + log(INFO, "Clients state: %s", clients_state) # Aggregate training results log(INFO, "fit_round - Aggregating training results") @@ -337,9 +338,9 @@ def fit_round( good_clients_idx, malicious_clients_idx, ) = aggregated_result - log(INFO, f"Malicious clients: {malicious_clients_idx}") + log(INFO, "Malicious clients: %s", malicious_clients_idx) - log(INFO, f"clients_state: {clients_state}") + log(INFO, "clients_state: %s", clients_state) for idx in good_clients_idx: if clients_state[str(idx)]: self.malicious_selected = True diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index b7f5e7f959ce..931c45eda77f 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -240,7 +240,7 @@ def aggregate_fit( ground_truth = params_tensor[:, :, -1].copy() pred_step = 1 - log(INFO, f"Computing MAR on params_tensor {params_tensor.shape}") + log(INFO, "Computing MAR on params_tensor %s", params_tensor.shape) predicted_matrix = mar( params_tensor[:, :, :-1], pred_step, @@ -253,7 +253,7 @@ def aggregate_fit( anomaly_scores = self.distance_function( ground_truth, predicted_matrix[:, :, 0] ) - log(INFO, f"Anomaly scores: {anomaly_scores}") + log(INFO, "Anomaly scores: %s", anomaly_scores) log(INFO, "Selecting good clients") good_clients_idx = sorted( @@ -263,7 +263,7 @@ def aggregate_fit( np.argsort(anomaly_scores)[self.to_keep :] ) # noqa results = np.array(results)[good_clients_idx].tolist() - log(INFO, f"Good clients: {good_clients_idx}") + log(INFO, "Good clients: %s", good_clients_idx) log(INFO, "Applying FedAvg") # Convert results From d4d12468db5d31d01450a4c8921ebfe37f02b441 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Sat, 23 Dec 2023 20:16:04 +0100 Subject: [PATCH 35/91] Add estimated time and other stuff --- baselines/flanders/EXTENDED_README.md | 123 ------------------ baselines/flanders/README.md | 6 +- .../all_results_original.csv} | 0 3 files changed, 4 insertions(+), 125 deletions(-) delete mode 100644 baselines/flanders/EXTENDED_README.md rename baselines/flanders/{results/all_results.csv => outputs/all_results_original.csv} (100%) diff --git a/baselines/flanders/EXTENDED_README.md b/baselines/flanders/EXTENDED_README.md deleted file mode 100644 index 9c8f5bc72fa9..000000000000 --- a/baselines/flanders/EXTENDED_README.md +++ /dev/null @@ -1,123 +0,0 @@ - -# Extended Readme - -> The baselines are expected to run in a machine running Ubuntu 22.04 - -While `README.md` should include information about the baseline you implement and how to run it, this _extended_ readme provides info on what's the expected directory structure for a new baseline and more generally the instructions to follow before your baseline can be merged into the Flower repository. Please follow closely these instructions. It is likely that you have already completed steps 1-2. - -1. Fork the Flower repository and clone it. -2. Navigate to the `baselines/` directory and from there run: - ```bash - # This will create a new directory with the same structure as this `baseline_template` directory. - ./dev/create-baseline.sh - ``` -3. All your code and configs should go into a sub-directory with the same name as the name of your baseline. - * The sub-directory contains a series of Python scripts that you can edit. Please stick to these files and consult with us if you need additional ones. - * There is also a basic config structure in `/conf` ready be parsed by [Hydra](https://hydra.cc/) when executing your `main.py`. -4. Therefore, the directory structure in your baseline should look like: - ```bash - baselines/ - ├── README.md # describes your baseline and everything needed to use it - ├── EXTENDED_README.md # to remove before creating your PR - ├── pyproject.toml # details your Python environment - └── - ├── *.py # several .py files including main.py and __init__.py - └── conf - └── *.yaml # one or more Hydra config files - - ``` -> :warning: Make sure the variable `name` in `pyproject.toml` is set to the name of the sub-directory containing all your code. - -5. Add your dependencies to the `pyproject.toml` (see below a few examples on how to do it). Read more about Poetry below in this `EXTENDED_README.md`. -6. Regularly check that your coding style and the documentation you add follow good coding practices. To test whether your code meets the requirements, please run the following: - ```bash - # After activating your environment and from your baseline's directory - cd .. # to go to the top-level directory of all baselines - ./dev/test-baseline.sh - ./dev/test-baseline-structure.sh - ``` - Both `test-baseline.sh` and `test-baseline-structure.sh` will also be automatically run when you create a PR, and both tests need to pass for the baseline to be merged. - To automatically solve some formatting issues and apply easy fixes, please run the formatting script: - ```bash - # After activating your environment and from your baseline's directory - cd .. # to go to the top-level directory of all baselines - ./dev/format-baseline.sh - ``` -7. Ensure that the Python environment for your baseline can be created without errors by simply running `poetry install` and that this is properly described later when you complete the `Environment Setup` section in `README.md`. This is specially important if your environment requires additional steps after doing `poetry install`. -8. Ensure that your baseline runs with default arguments by running `poetry run python -m .main`. Then, describe this and other forms of running your code in the `Running the Experiments` section in `README.md`. -9. Once your code is ready and you have checked: - * that following the instructions in your `README.md` the Python environment can be created correctly - - * that running the code following your instructions can reproduce the experiments in the paper - - , then you just need to create a Pull Request (PR) to kickstart the process of merging your baseline into the Flower repository. - -> Once you are happy to merge your baseline contribution, please delete this `EXTENDED_README.md` file. - - -## About Poetry - -We use Poetry to manage the Python environment for each individual baseline. You can follow the instructions [here](https://python-poetry.org/docs/) to install Poetry in your machine. - - -### Specifying a Python Version (optional) -By default, Poetry will use the Python version in your system. In some settings, you might want to specify a particular version of Python to use inside your Poetry environment. You can do so with [`pyenv`](https://github.com/pyenv/pyenv). Check the documentation for the different ways of installing `pyenv`, but one easy way is using the [automatic installer](https://github.com/pyenv/pyenv-installer): -```bash -curl https://pyenv.run | bash # then, don't forget links to your .bashrc/.zshrc -``` - -You can then install any Python version with `pyenv install ` (e.g. `pyenv install 3.9.17`). Then, in order to use that version for your baseline, you'd do the following: - -```bash -# cd to your baseline directory (i.e. where the `pyproject.toml` is) -pyenv local - -# set that version for poetry -poetry env use - -# then you can install your Poetry environment (see the next setp) -``` - -### Installing Your Environment -With the Poetry tool already installed, you can create an environment for this baseline with commands: -```bash -# run this from the same directory as the `pyproject.toml` file is -poetry install -``` - -This will create a basic Python environment with just Flower and additional packages, including those needed for simulation. Next, you should add the dependencies for your code. It is **critical** that you fix the version of the packages you use using a `=` not a `=^`. You can do so via [`poetry add`](https://python-poetry.org/docs/cli/#add). Below are some examples: - -```bash -# For instance, if you want to install tqdm -poetry add tqdm==4.65.0 - -# If you already have a requirements.txt, you can add all those packages (but ensure you have fixed the version) in one go as follows: -poetry add $( cat requirements.txt ) -``` -With each `poetry add` command, the `pyproject.toml` gets automatically updated so you don't need to keep that `requirements.txt` as part of this baseline. - - -More critically however, is adding your ML framework of choice to the list of dependencies. For some frameworks you might be able to do so with the `poetry add` command. Check [the Poetry documentation](https://python-poetry.org/docs/cli/#add) for how to add packages in various ways. For instance, let's say you want to use PyTorch: - -```bash -# with plain `pip` you'd run a command such as: -pip install torch==1.13.1+cu117 torchvision==0.14.1+cu117 torchaudio==0.13.1 --extra-index-url https://download.pytorch.org/whl/cu117 - -# to add the same 3 dependencies to your Poetry environment you'd need to add the URL to the wheel that the above pip command auto-resolves for you. -# You can find those wheels in `https://download.pytorch.org/whl/cu117`. Copy the link and paste it after the `poetry add` command. -# For instance to add `torch==1.13.1+cu117` and a x86 Linux system with Python3.8 you'd: -poetry add https://download.pytorch.org/whl/cu117/torch-1.13.1%2Bcu117-cp38-cp38-linux_x86_64.whl -# you'll need to repeat this for both `torchvision` and `torchaudio` -``` -The above is just an example of how you can add these dependencies. Please refer to the Poetry documentation to extra reference. - -If all attempts fail, you can still install packages via standard `pip`. You'd first need to source/activate your Poetry environment. -```bash -# first ensure you have created your environment -# and installed the base packages provided in the template -poetry install - -# then activate it -poetry shell -``` -Now you are inside your environment (pretty much as when you use `virtualenv` or `conda`) so you can install further packages with `pip`. Please note that, unlike with `poetry add`, these extra requirements won't be captured by `pyproject.toml`. Therefore, please ensure that you provide all instructions needed to: (1) create the base environment with Poetry and (2) install any additional dependencies via `pip` when you complete your `README.md`. \ No newline at end of file diff --git a/baselines/flanders/README.md b/baselines/flanders/README.md index 5d7137990425..cd1cc2e3d5b0 100644 --- a/baselines/flanders/README.md +++ b/baselines/flanders/README.md @@ -1,8 +1,8 @@ --- title: A Byzantine-Resilient Aggregation Scheme for Federated Learning via Matrix Autoregression on Client Updates url: https://arxiv.org/abs/2303.16668 -labels: [robustness, model poisoning, anomaly detection, autoregressive model] -dataset: [MNIST, Income, California Housing] +labels: [robustness, model poisoning, anomaly detection, autoregressive model, regression, classification] +dataset: [MNIST, Income, CIFAR-10, California Housing] --- ****Paper:**** [arxiv.org/abs/2303.16668](https://arxiv.org/abs/2303.16668) @@ -20,6 +20,8 @@ dataset: [MNIST, Income, California Housing] ****Hardware Setup:**** Apple M2 Pro, 16gb RAM +****Estimated time to run:**** For **Income**, 117 seconds. For **MNIST**, 24 minutes. This is the time estimated for a *single experiment* (i.e. 50 rounds, 10 clients sampled each round, 1 local epoch). + ****Contributors:**** Edoardo Gabrielli, University of Rome "La Sapienza" ([GitHub](https://github.com/edogab33), [LinkedIn](https://www.linkedin.com/in/edoardog/), [Scholar](https://scholar.google.com/citations?user=b3bePdYAAAAJ)) diff --git a/baselines/flanders/results/all_results.csv b/baselines/flanders/outputs/all_results_original.csv similarity index 100% rename from baselines/flanders/results/all_results.csv rename to baselines/flanders/outputs/all_results_original.csv From 2bb73da088375eb7b429fd72160fdcfa7de3b36b Mon Sep 17 00:00:00 2001 From: jafermarq Date: Wed, 27 Dec 2023 08:54:48 +0100 Subject: [PATCH 36/91] minor fixes --- baselines/flanders/README.md | 8 +++++--- baselines/flanders/pyproject.toml | 1 + 2 files changed, 6 insertions(+), 3 deletions(-) diff --git a/baselines/flanders/README.md b/baselines/flanders/README.md index cd1cc2e3d5b0..00018980812d 100644 --- a/baselines/flanders/README.md +++ b/baselines/flanders/README.md @@ -29,7 +29,7 @@ dataset: [MNIST, Income, CIFAR-10, California Housing] ****Task:**** Image classification, logistic regression, linear regression -****Models:**** Appendix C of the paper describe the models, but here's a summary. +****Models:**** Appendix C of the paper describes the models, but here's a summary. Income (binary classification): - cyclic coordinate descent (CCD) @@ -88,7 +88,7 @@ python -m flanders.main To execute a single experiment with the default values in `conf/base.yaml`. -To run custom experiments, you can override the defaults values like that: +To run custom experiments, you can override the default values like that: ```bash python -m flanders.main dataset=income server.attack_fn=lie server.num_malicious=1 @@ -110,10 +110,12 @@ python -m flanders.main --multirun dataset=income,mnist server.attack_fn=gaussia It will generate the results in `results/all_results.csv`. To generate the plots, use the notebook in `plotting/plots.ipynb`. -Expected maximum accuracy achieved across different number of malicious clients and different attacks: +Expected maximum accuracy achieved across different numbers of malicious clients and different attacks: + ![](_static/max_acc.jpg) Expected distribution of accuracy from round $L$ to the final round across all the experiments: + ![](_static/boxplot_Income.jpg) ![](_static/boxplot_MNIST.jpg) \ No newline at end of file diff --git a/baselines/flanders/pyproject.toml b/baselines/flanders/pyproject.toml index b1e760d78217..2d2017c4721a 100644 --- a/baselines/flanders/pyproject.toml +++ b/baselines/flanders/pyproject.toml @@ -45,6 +45,7 @@ pandas = "^2.1.3" scikit-learn = "1.3.2" torchvision = "0.16.1" ipykernel = "^6.27.1" +natsort = "^8.4.0" [tool.poetry.dev-dependencies] isort = "==5.11.5" From 73f95706ab3b8cbe9addd9a579c2ad6235196470 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Wed, 27 Dec 2023 13:03:05 +0100 Subject: [PATCH 37/91] Fix main args --- baselines/flanders/flanders/main.py | 1 - 1 file changed, 1 deletion(-) diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 3a994d395bde..f6f8d23c0351 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -126,7 +126,6 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): fraction_evaluate=0, min_fit_clients=cfg.server.pool_size, min_evaluate_clients=0, - warmup_rounds=cfg.server.warmup_rounds, to_keep=cfg.strategy.to_keep, min_available_clients=cfg.server.pool_size, window=cfg.server.warmup_rounds, From bdc39427e6d15ba6714dea7246ef5d06c855b898 Mon Sep 17 00:00:00 2001 From: Edoardo Gabrielli Date: Wed, 27 Dec 2023 13:03:33 +0100 Subject: [PATCH 38/91] Update baselines/flanders/flanders/main.py Co-authored-by: Javier --- baselines/flanders/flanders/main.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index f6f8d23c0351..64291e4c185f 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -136,7 +136,7 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): # 5. Start Simulation fl.simulation.start_simulation( client_fn=client_fn, - client_resources={"num_cpus": 10}, + client_resources=cfg.client_resources, num_clients=cfg.server.pool_size, server=EnhancedServer( warmup_rounds=cfg.server.warmup_rounds, From c4a3dc49809314d9c20253285396090d28d0ed95 Mon Sep 17 00:00:00 2001 From: Edoardo Gabrielli Date: Wed, 27 Dec 2023 13:03:44 +0100 Subject: [PATCH 39/91] Update baselines/flanders/flanders/conf/base.yaml Co-authored-by: Javier --- baselines/flanders/flanders/conf/base.yaml | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/baselines/flanders/flanders/conf/base.yaml b/baselines/flanders/flanders/conf/base.yaml index 8d906fe4a487..a43510d99eb9 100644 --- a/baselines/flanders/flanders/conf/base.yaml +++ b/baselines/flanders/flanders/conf/base.yaml @@ -30,4 +30,11 @@ server: threshold: 1e-05 attack_fn: gaussian num_malicious: 0 - omniscent: True \ No newline at end of file + omniscent: True + + server_device: cpu + + client_resources: + num_cpus: 10 + num_gpus: 0.0 + \ No newline at end of file From 40c1e500bd85010eacf1b759bb3dd3b6c84d80a7 Mon Sep 17 00:00:00 2001 From: Edoardo Gabrielli Date: Wed, 27 Dec 2023 13:04:11 +0100 Subject: [PATCH 40/91] Update baselines/flanders/README.md Co-authored-by: Javier --- baselines/flanders/README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/baselines/flanders/README.md b/baselines/flanders/README.md index 00018980812d..381a65209e95 100644 --- a/baselines/flanders/README.md +++ b/baselines/flanders/README.md @@ -66,7 +66,8 @@ Where $\lambda_1$ and $\lambda_2$ are Lasso and Ridge regularization terms, $L$ ```bash # Use a version of Python >=3.9 and <3.12.0. -poetry env use 3.9.18 +pyenv local 3.10.12 +poetry env use 3.10.12 # Install everything from the toml poetry install From 1161965fe6752e38784fd4db5c00916fc5065bed Mon Sep 17 00:00:00 2001 From: Edoardo Gabrielli Date: Wed, 27 Dec 2023 13:04:21 +0100 Subject: [PATCH 41/91] Update baselines/flanders/pyproject.toml Co-authored-by: Javier --- baselines/flanders/pyproject.toml | 1 + 1 file changed, 1 insertion(+) diff --git a/baselines/flanders/pyproject.toml b/baselines/flanders/pyproject.toml index 2d2017c4721a..04711e71bf8a 100644 --- a/baselines/flanders/pyproject.toml +++ b/baselines/flanders/pyproject.toml @@ -46,6 +46,7 @@ scikit-learn = "1.3.2" torchvision = "0.16.1" ipykernel = "^6.27.1" natsort = "^8.4.0" +seaborn = "^0.13.0" [tool.poetry.dev-dependencies] isort = "==5.11.5" From 91ddeb2d3620f0a31fc19eaca955c7b90a245292 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Wed, 27 Dec 2023 13:06:20 +0100 Subject: [PATCH 42/91] Update plotting --- baselines/flanders/plotting/plots.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/baselines/flanders/plotting/plots.ipynb b/baselines/flanders/plotting/plots.ipynb index 220c84cc1d04..6c2c5e0472fb 100644 --- a/baselines/flanders/plotting/plots.ipynb +++ b/baselines/flanders/plotting/plots.ipynb @@ -273,7 +273,7 @@ } ], "source": [ - "df = pd.read_csv('../results/all_results.csv')\n", + "df = pd.read_csv('../outputs/all_results_original.csv')\n", "\n", "df = trim_attack_fn(df)\n", "df = dataset_name_cleaner(df)\n", @@ -556,7 +556,7 @@ } ], "source": [ - "df = pd.read_csv('../results/all_results.csv')\n", + "df = pd.read_csv('../outputs/all_results_original.csv')\n", "\n", "df = trim_attack_fn(df)\n", "df = dataset_name_cleaner(df)\n", From 638dd893964c51d87544160f3307fea78ac3196a Mon Sep 17 00:00:00 2001 From: edogab33 Date: Thu, 28 Dec 2023 18:11:09 +0100 Subject: [PATCH 43/91] Bring back the onld strategy + solve overloading issue --- baselines/flanders/flanders/server.py | 2 +- baselines/flanders/flanders/strategy.py | 128 +++++------------------- 2 files changed, 26 insertions(+), 104 deletions(-) diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index 4c2805f594d0..3466c2cd9a90 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -329,7 +329,7 @@ def fit_round( # Aggregate training results log(INFO, "fit_round - Aggregating training results") aggregated_result = self.strategy.aggregate_fit( - server_round, results, failures, clients_state + server_round, results, failures ) ( diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index 931c45eda77f..027e8e9c928a 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -6,8 +6,6 @@ import numpy as np from flwr.common import ( - EvaluateIns, - EvaluateRes, FitIns, FitRes, MetricsAggregationFn, @@ -20,7 +18,8 @@ from flwr.common.logger import log from flwr.server.client_manager import ClientManager from flwr.server.client_proxy import ClientProxy -from flwr.server.strategy.aggregate import aggregate, weighted_loss_avg +from flwr.server.strategy.aggregate import aggregate +from flwr.server.strategy.fedavg import FedAvg from .utils import load_all_time_series @@ -32,7 +31,7 @@ """ -class Flanders: +class Flanders(FedAvg): """Aggregation function based on MAR. Take a look at the paper for more details about the parameters. @@ -117,18 +116,20 @@ def __init__( Distance function used to compute the distance between predicted params and real ones, by default None """ - self.fraction_fit = fraction_fit - self.fraction_evaluate = fraction_evaluate - self.min_fit_clients = min_fit_clients - self.min_evaluate_clients = min_evaluate_clients - self.min_available_clients = min_available_clients - self.evaluate_fn = evaluate_fn - self.on_fit_config_fn = on_fit_config_fn - self.on_evaluate_config_fn = on_evaluate_config_fn - self.accept_failures = accept_failures - self.initial_parameters = initial_parameters - self.fit_metrics_aggregation_fn = fit_metrics_aggregation_fn - self.evaluate_metrics_aggregation_fn = evaluate_metrics_aggregation_fn + super().__init__( + fraction_fit=fraction_fit, + fraction_evaluate=fraction_evaluate, + min_fit_clients=min_fit_clients, + min_evaluate_clients=min_evaluate_clients, + min_available_clients=min_available_clients, + evaluate_fn=evaluate_fn, + on_fit_config_fn=on_fit_config_fn, + on_evaluate_config_fn=on_evaluate_config_fn, + accept_failures=accept_failures, + initial_parameters=initial_parameters, + fit_metrics_aggregation_fn=fit_metrics_aggregation_fn, + evaluate_metrics_aggregation_fn=evaluate_metrics_aggregation_fn, + ) self.to_keep = to_keep self.window = window self.maxiter = maxiter @@ -138,33 +139,6 @@ def __init__( self.malicious_selected = False self.distance_function = distance_function - def __repr__(self) -> str: - """Compute a string representation of the strategy.""" - rep = f"FLANDERS(accept_failures={self.accept_failures})" - return rep - - @typing.no_type_check - def num_fit_clients(self, num_available_clients: int) -> Tuple[int, int]: - """Return the sample size and the required number of available clients.""" - num_clients = int(num_available_clients * self.fraction_fit) - return max(num_clients, self.min_fit_clients), self.min_available_clients - - @typing.no_type_check - def num_evaluation_clients(self, num_available_clients: int) -> Tuple[int, int]: - """Use a fraction of available clients for evaluation.""" - num_clients = int(num_available_clients * self.fraction_evaluate) - return max(num_clients, self.min_evaluate_clients), self.min_available_clients - - # pylint: disable=unused-argument - @typing.no_type_check - def initialize_parameters( - self, client_manager: ClientManager - ) -> Optional[Parameters]: - """Initialize global model parameters.""" - initial_parameters = self.initial_parameters - self.initial_parameters = None # Don't keep initial parameters in memory - return initial_parameters - @typing.no_type_check def configure_fit( self, server_round: int, parameters: Parameters, client_manager: ClientManager @@ -203,7 +177,6 @@ def aggregate_fit( server_round: int, results: List[Tuple[ClientProxy, FitRes]], failures: List[Union[Tuple[ClientProxy, FitRes], BaseException]], - clients_state: Dict[int, bool], ) -> Tuple[Optional[Parameters], Dict[str, Scalar]]: """Apply MAR forecasting to exclude malicious clients from FedAvg. @@ -288,39 +261,12 @@ def aggregate_fit( malicious_clients_idx, ) - @typing.no_type_check - def configure_evaluate( - self, server_round: int, parameters: Parameters, client_manager: ClientManager - ) -> List[Tuple[ClientProxy, EvaluateIns]]: - """Configure the next round of evaluation.""" - # Do not configure federated evaluation if fraction eval is 0. - if self.fraction_evaluate == 0.0: - return [] - - # Parameters and config - config = {} - if self.on_evaluate_config_fn is not None: - # Custom evaluation config function provided - config = self.on_evaluate_config_fn(server_round) - evaluate_ins = EvaluateIns(parameters, config) - - # Sample clients - sample_size, min_num_clients = self.num_evaluation_clients( - client_manager.num_available() - ) - clients = client_manager.sample( - num_clients=sample_size, min_num_clients=min_num_clients - ) - - # Return client/config pairs - return [(client, evaluate_ins) for client in clients] - def evaluate( self, - server_round: int, - parameters: Parameters, - config: Dict[str, Scalar], - output_dir: str, + server_round, + parameters, + config=None, + output_dir=None, ) -> Optional[Tuple[float, Dict[str, Scalar]]]: """Evaluate model parameters. @@ -329,6 +275,10 @@ def evaluate( if self.evaluate_fn is None: # No evaluation function provided return None + if output_dir is None: + raise ValueError("output_dir must not be None") + if config is None: + config = {} eval_res = self.evaluate_fn( server_round, parameters_to_ndarrays(parameters), config, output_dir @@ -338,34 +288,6 @@ def evaluate( loss, metrics = eval_res return loss, metrics - def aggregate_evaluate( - self, - server_round: int, - results: List[Tuple[ClientProxy, EvaluateRes]], - failures: List[Union[Tuple[ClientProxy, EvaluateRes], BaseException]], - ) -> Tuple[Optional[float], Dict[str, Scalar]]: - """Aggregate evaluation losses using weighted average.""" - if (not results) or (not self.accept_failures and failures): - return None, {} - - # Aggregate loss - loss_aggregated = weighted_loss_avg( - [ - (evaluate_res.num_examples, evaluate_res.loss) - for _, evaluate_res in results - ] - ) - - # Aggregate custom metrics if aggregation fn was provided - metrics_aggregated = {} - if self.evaluate_metrics_aggregation_fn: - eval_metrics = [(res.num_examples, res.metrics) for _, res in results] - metrics_aggregated = self.evaluate_metrics_aggregation_fn(eval_metrics) - elif server_round == 1: # Only log this warning once - log(WARNING, "No evaluate_metrics_aggregation_fn provided") - - return loss_aggregated, metrics_aggregated - # pylint: disable=too-many-locals, too-many-arguments, invalid-name def mar(X, pred_step, alpha=1, beta=1, maxiter=100, window=0): From 7d3160dc75d9f99afb9f878f93ba601a099bae2a Mon Sep 17 00:00:00 2001 From: edogab33 Date: Thu, 28 Dec 2023 18:11:25 +0100 Subject: [PATCH 44/91] Solve indent issue --- baselines/flanders/flanders/conf/base.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/baselines/flanders/flanders/conf/base.yaml b/baselines/flanders/flanders/conf/base.yaml index a43510d99eb9..d097662ef9e7 100644 --- a/baselines/flanders/flanders/conf/base.yaml +++ b/baselines/flanders/flanders/conf/base.yaml @@ -32,9 +32,9 @@ server: num_malicious: 0 omniscent: True - server_device: cpu +server_device: cpu - client_resources: - num_cpus: 10 - num_gpus: 0.0 +client_resources: + num_cpus: 10 + num_gpus: 0.0 \ No newline at end of file From 4e3f6f0f82326058427486407e44c7cb5d73b198 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Thu, 28 Dec 2023 19:40:09 +0100 Subject: [PATCH 45/91] Add new hysdra conf --- baselines/flanders/flanders/conf/base.yaml | 9 ++++----- baselines/flanders/flanders/conf/strategy/flanders.yaml | 7 +++++++ baselines/flanders/flanders/conf/strategy/krum.yaml | 5 +++++ baselines/flanders/flanders/main.py | 2 +- 4 files changed, 17 insertions(+), 6 deletions(-) create mode 100644 baselines/flanders/flanders/conf/strategy/flanders.yaml create mode 100644 baselines/flanders/flanders/conf/strategy/krum.yaml diff --git a/baselines/flanders/flanders/conf/base.yaml b/baselines/flanders/flanders/conf/base.yaml index d097662ef9e7..ad78b4e2c018 100644 --- a/baselines/flanders/flanders/conf/base.yaml +++ b/baselines/flanders/flanders/conf/base.yaml @@ -7,6 +7,10 @@ # - override hydra/hydra_logging: disabled # - override hydra/job_logging: disabled +defaults: + - _self_ + - strategy: flanders + hydra: output_subdir: null run: @@ -14,11 +18,6 @@ hydra: dataset: mnist -strategy: - _target_: flanders.strategy.Flanders - to_keep: 1 # number of benign local models to keep for the aggregation (FedAvg) - maxiter: 50 # number of iterations done by MAR - server: _target_: flanders.server.EnhancedServer num_rounds: 50 diff --git a/baselines/flanders/flanders/conf/strategy/flanders.yaml b/baselines/flanders/flanders/conf/strategy/flanders.yaml new file mode 100644 index 000000000000..8889ab583e0a --- /dev/null +++ b/baselines/flanders/flanders/conf/strategy/flanders.yaml @@ -0,0 +1,7 @@ +--- +name: flanders + +strategy: + _target_: flanders.strategy.Flanders + to_keep: 1 # number of benign local models to keep for the aggregation (FedAvg) + maxiter: 50 # number of iterations done by MAR \ No newline at end of file diff --git a/baselines/flanders/flanders/conf/strategy/krum.yaml b/baselines/flanders/flanders/conf/strategy/krum.yaml new file mode 100644 index 000000000000..1ddf6a918999 --- /dev/null +++ b/baselines/flanders/flanders/conf/strategy/krum.yaml @@ -0,0 +1,5 @@ +--- +name: krum + +strategy: + _target_: flwr.server.strategy.krum \ No newline at end of file diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 64291e4c185f..0dea789a83b7 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -126,7 +126,7 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): fraction_evaluate=0, min_fit_clients=cfg.server.pool_size, min_evaluate_clients=0, - to_keep=cfg.strategy.to_keep, + num_clients_to_keep=cfg.strategy.to_keep, min_available_clients=cfg.server.pool_size, window=cfg.server.warmup_rounds, distance_function=l2_norm, From e580aa6d536172cc9adcc12b2f070b7e83167038 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Fri, 5 Jan 2024 19:40:01 +0100 Subject: [PATCH 46/91] Save results from history for better modularity --- .../flanders/conf/strategy/flanders.yaml | 3 +- .../flanders/flanders/conf/strategy/krum.yaml | 3 +- baselines/flanders/flanders/main.py | 80 ++++++++++++---- baselines/flanders/flanders/server.py | 16 +--- baselines/flanders/flanders/strategy.py | 22 ++--- baselines/flanders/flanders/utils.py | 93 ++----------------- 6 files changed, 82 insertions(+), 135 deletions(-) diff --git a/baselines/flanders/flanders/conf/strategy/flanders.yaml b/baselines/flanders/flanders/conf/strategy/flanders.yaml index 8889ab583e0a..5411cf21c43a 100644 --- a/baselines/flanders/flanders/conf/strategy/flanders.yaml +++ b/baselines/flanders/flanders/conf/strategy/flanders.yaml @@ -3,5 +3,6 @@ name: flanders strategy: _target_: flanders.strategy.Flanders - to_keep: 1 # number of benign local models to keep for the aggregation (FedAvg) + _recursive_: false + num_clients_to_keep: 1 # number of benign local models to filter-out before the aggregation maxiter: 50 # number of iterations done by MAR \ No newline at end of file diff --git a/baselines/flanders/flanders/conf/strategy/krum.yaml b/baselines/flanders/flanders/conf/strategy/krum.yaml index 1ddf6a918999..84f4f159e653 100644 --- a/baselines/flanders/flanders/conf/strategy/krum.yaml +++ b/baselines/flanders/flanders/conf/strategy/krum.yaml @@ -2,4 +2,5 @@ name: krum strategy: - _target_: flwr.server.strategy.krum \ No newline at end of file + _target_: flwr.server.strategy.Krum + num_clients_to_keep: 1 \ No newline at end of file diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 0dea789a83b7..4de77436ea6f 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -7,6 +7,7 @@ import shutil import flwr as fl +import pandas as pd import hydra from flwr.server.client_manager import SimpleClientManager from hydra.core.hydra_config import HydraConfig @@ -62,9 +63,6 @@ def main(cfg: DictConfig) -> None: if os.path.exists(cfg.server.history_dir): shutil.rmtree(cfg.server.history_dir) - # Output directory for results - save_path = HydraConfig.get().runtime.output_dir - dataset_name = cfg.dataset attack_fn = cfg.server.attack_fn num_malicious = cfg.server.num_malicious @@ -118,23 +116,39 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): raise ValueError("Dataset not supported") # 4. Define your strategy - strategy = instantiate( - cfg.strategy, - evaluate_fn=clients[dataset_name][1], - on_fit_config_fn=fit_config, - fraction_fit=1, - fraction_evaluate=0, - min_fit_clients=cfg.server.pool_size, - min_evaluate_clients=0, - num_clients_to_keep=cfg.strategy.to_keep, - min_available_clients=cfg.server.pool_size, - window=cfg.server.warmup_rounds, - distance_function=l2_norm, - maxiter=cfg.strategy.maxiter, - ) - + strategy = None + if cfg.strategy.name == "flanders": + strategy = instantiate( + cfg.strategy.strategy, + evaluate_fn=clients[dataset_name][1], + on_fit_config_fn=fit_config, + fraction_fit=1, + fraction_evaluate=0, + min_fit_clients=cfg.server.pool_size, + min_evaluate_clients=0, + num_clients_to_keep=cfg.strategy.strategy.num_clients_to_keep, + min_available_clients=cfg.server.pool_size, + window=cfg.server.warmup_rounds, + distance_function=l2_norm, + maxiter=cfg.strategy.strategy.maxiter, + ) + elif cfg.strategy.name == "krum": + strategy = instantiate( + cfg.strategy.strategy, + evaluate_fn=clients[dataset_name][1], + on_fit_config_fn=fit_config, + fraction_fit=1, + fraction_evaluate=0, + min_fit_clients=cfg.server.pool_size, + min_evaluate_clients=0, + num_clients_to_keep=cfg.strategy.strategy.num_clients_to_keep, + min_available_clients=cfg.server.pool_size, + ) + else: + raise ValueError("Strategy not supported") + # 5. Start Simulation - fl.simulation.start_simulation( + history = fl.simulation.start_simulation( client_fn=client_fn, client_resources=cfg.client_resources, num_clients=cfg.server.pool_size, @@ -150,12 +164,38 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): dataset_name=dataset_name, threshold=cfg.server.threshold, omniscent=cfg.server.omniscent, - output_dir=save_path, ), config=fl.server.ServerConfig(num_rounds=cfg.server.num_rounds), strategy=strategy, ) + save_path = HydraConfig.get().runtime.output_dir + + # rounds, train_loss = zip(*history.losses_distributed) + # _, train_accuracy = zip(*history.metrics_distributed["accuracy"]) + rounds, test_loss = zip(*history.losses_centralized) + _, test_accuracy = zip(*history.metrics_centralized["accuracy"]) + _, test_auc = zip(*history.metrics_centralized["auc"]) + + file_name = os.path.join(save_path, "outputs/all_results.csv",) + + data = pd.DataFrame( + { + "round": rounds, + "test_loss": test_loss, + "test_accuracy": test_accuracy, + "test_auc": test_auc, + "attack": [attack_fn for _ in range(len(rounds))], + "dataset_name": [dataset_name for _ in range(len(rounds))], + "num_malicious": [num_malicious for _ in range(len(rounds))], + } + ) + + if os.path.exists(file_name): + data.to_csv(file_name, mode="a", header=False, index=False) + else: + data.to_csv(file_name, index=False, header=True) + # pylint: disable=unused-argument def fit_config(server_round): diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index 3466c2cd9a90..11c5daa846cb 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -47,7 +47,6 @@ def __init__( sampling: int = 0, history_dir: str = "clients_params", omniscent: bool = True, - output_dir: str = "results", **kwargs: Any, ) -> None: """Create a new EnhancedServer instance. @@ -74,8 +73,6 @@ def __init__( Directory where to save the parameters, by default "clients_params" omniscent : bool, optional Whether to use the omniscent attack, by default True - output_dir : str, optional - Directory where to save the results, by default "results" """ super().__init__(*args, **kwargs) self.num_malicious = num_malicious @@ -92,7 +89,6 @@ def __init__( self.old_lambda = 0.0 self.to_keep = to_keep self.omniscent = omniscent - self.output_dir = f"{output_dir}/outputs" self.malicious_lst: List = [] # pylint: disable=too-many-locals @@ -109,9 +105,8 @@ def fit(self, num_rounds, timeout): "attack_fn": self.attack_fn, "dataset_name": self.dataset_name, } - res = self.strategy.evaluate( - 0, parameters=self.parameters, config=config, output_dir=self.output_dir - ) + res = self.strategy.evaluate(0, parameters=self.parameters) + if res is not None: log( INFO, @@ -141,12 +136,7 @@ def fit(self, num_rounds, timeout): ) # Evaluate model using strategy implementation - res_cen = self.strategy.evaluate( - current_round, - parameters=self.parameters, - config=config, - output_dir=self.output_dir, - ) + res_cen = self.strategy.evaluate(current_round, parameters=self.parameters) if res_cen is not None: loss_cen, metrics_cen = res_cen log( diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index 027e8e9c928a..33418be99f1a 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -57,7 +57,7 @@ def __init__( initial_parameters: Optional[Parameters] = None, fit_metrics_aggregation_fn: Optional[MetricsAggregationFn] = None, evaluate_metrics_aggregation_fn: Optional[MetricsAggregationFn] = None, - to_keep: int = 1, + num_clients_to_keep: int = 1, window: int = 0, maxiter: int = 100, alpha: float = 1, @@ -101,7 +101,7 @@ def __init__( optional Function to aggregate metrics during the evaluate phase, by default None - to_keep : int, optional + num_clients_to_keep : int, optional Number of clients to keep (i.e., to classify as "good"), by default 1 window : int, optional @@ -130,7 +130,7 @@ def __init__( fit_metrics_aggregation_fn=fit_metrics_aggregation_fn, evaluate_metrics_aggregation_fn=evaluate_metrics_aggregation_fn, ) - self.to_keep = to_keep + self.num_clients_to_keep = num_clients_to_keep self.window = window self.maxiter = maxiter self.alpha = alpha @@ -230,10 +230,10 @@ def aggregate_fit( log(INFO, "Selecting good clients") good_clients_idx = sorted( - np.argsort(anomaly_scores)[: self.to_keep] + np.argsort(anomaly_scores)[: self.num_clients_to_keep] ) # noqa malicious_clients_idx = sorted( - np.argsort(anomaly_scores)[self.to_keep :] + np.argsort(anomaly_scores)[self.num_clients_to_keep :] ) # noqa results = np.array(results)[good_clients_idx].tolist() log(INFO, "Good clients: %s", good_clients_idx) @@ -264,9 +264,7 @@ def aggregate_fit( def evaluate( self, server_round, - parameters, - config=None, - output_dir=None, + parameters ) -> Optional[Tuple[float, Dict[str, Scalar]]]: """Evaluate model parameters. @@ -275,13 +273,9 @@ def evaluate( if self.evaluate_fn is None: # No evaluation function provided return None - if output_dir is None: - raise ValueError("output_dir must not be None") - if config is None: - config = {} - + eval_res = self.evaluate_fn( - server_round, parameters_to_ndarrays(parameters), config, output_dir + server_round, parameters_to_ndarrays(parameters) ) # type: ignore [call-arg] if eval_res is None: return None diff --git a/baselines/flanders/flanders/utils.py b/baselines/flanders/flanders/utils.py index 526a5ba699db..6d5971d3daeb 100644 --- a/baselines/flanders/flanders/utils.py +++ b/baselines/flanders/flanders/utils.py @@ -48,70 +48,6 @@ def l2_norm(true_matrix, predicted_matrix): anomaly_scores = np.sum(delta**2, axis=-1) ** (1.0 / 2) return anomaly_scores - -def save_params( - parameters, cid, params_dir="clients_params", remove_last=False, rrl=False -): - """Save parameters in a file. - - Args: - - parameters (ndarray): decoded parameters to append at the end of the file - - cid (int): identifier of the client - - remove_last (bool): - if True, remove the last saved parameters and replace with "parameters" - - rrl (bool): - if True, remove the last saved parameters and replace with the ones - saved before this round. - """ - new_params = parameters - # Save parameters in clients_params/cid_params - path_file = f"{params_dir}/{cid}_params.npy" - if os.path.exists(params_dir) is False: - os.mkdir(params_dir) - if os.path.exists(path_file): - # load old parameters - old_params = np.load(path_file, allow_pickle=True) - if remove_last: - old_params = old_params[:-1] - if rrl: - new_params = old_params[-1] - # add new parameters - new_params = np.vstack((old_params, new_params)) - - # save parameters - np.save(path_file, new_params) - - -def save_results(loss, accuracy, config=None, output_dir="results"): - """Save results in a csv file. - - Parameters - ---------- - loss : float - Loss value. - accuracy : float - Accuracy value. - config : dict, optional - Configurations to save, by default None. - output_dir : str, optional - Output directory, by default "results". - """ - # Generate csv - config["accuracy"] = accuracy - config["loss"] = loss - data = pd.DataFrame.from_records([config]) - csv_path = f"{output_dir}/all_results.csv" - # check that dir exists - if os.path.exists(output_dir) is False: - os.mkdir(output_dir) - # Lock is needed when multiple clients are running concurrently - with lock: - if os.path.exists(csv_path): - data.to_csv(csv_path, mode="a", header=False, index=False) - else: - data.to_csv(csv_path, index=False, header=True) - - def load_all_time_series(params_dir="clients_params", window=0): """Load all time series. @@ -140,23 +76,23 @@ def evaluate_aggregated( Callable[[int, NDArrays, Dict[str, Scalar]], Tuple[float, Dict[str, Scalar]]] ], server_round: int, - parameters: Parameters, - config: Dict[str, Scalar], + parameters: Parameters ): """Evaluate model parameters using an evaluation function.""" if evaluate_fn is None: # No evaluation function provided return None parameters_ndarrays = parameters_to_ndarrays(parameters) - eval_res = evaluate_fn(server_round, parameters_ndarrays, config) + eval_res = evaluate_fn(server_round, parameters_ndarrays) if eval_res is None: return None loss, metrics = eval_res + return loss, metrics def mnist_evaluate( - server_round: int, parameters: NDArrays, config: Dict[str, Scalar], output_dir: str + server_round: int, parameters: NDArrays ): """Evaluate MNIST model on the test set.""" # determine device @@ -170,15 +106,11 @@ def mnist_evaluate( testloader = DataLoader(testset, batch_size=32, shuffle=False, num_workers=1) loss, accuracy, auc = test_mnist(model, testloader, device=device) - config["round"] = server_round - config["auc"] = auc - save_results(loss, accuracy, config=config, output_dir=output_dir) - return loss, {"accuracy": accuracy, "auc": auc} def cifar_evaluate( - server_round: int, parameters: NDArrays, config: Dict[str, Scalar], output_dir: str + server_round: int, parameters: NDArrays ): """Evaluate CIFAR-10 model on the test set.""" device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") @@ -191,16 +123,12 @@ def cifar_evaluate( testloader = torch.utils.data.DataLoader(testset, batch_size=32) loss, accuracy, auc = test_cifar(model, testloader, device=device) - config["round"] = server_round - config["auc"] = auc - save_results(loss, accuracy, config=config, output_dir=output_dir) - # return statistics return loss, {"accuracy": accuracy, "auc": auc} def income_evaluate( - server_round: int, parameters: NDArrays, config: Dict[str, Scalar], output_dir: str + server_round: int, parameters: NDArrays ): """Evaluate Income model on the test set.""" model = LogisticRegression() @@ -217,15 +145,11 @@ def income_evaluate( loss = log_loss(y_test, model.predict_proba(x_test)) auc = roc_auc_score(y_test, model.predict_proba(x_test)[:, 1]) - config["round"] = server_round - config["auc"] = auc - save_results(loss, accuracy, config=config, output_dir=output_dir) - return loss, {"accuracy": accuracy, "auc": auc} def house_evaluate( - server_round: int, parameters: NDArrays, config: Dict[str, Scalar], output_dir: str + server_round: int, parameters: NDArrays ): """Evaluate House model on the test set.""" model = ElasticNet(alpha=1, warm_start=True) @@ -242,8 +166,5 @@ def house_evaluate( arsq = 1 - (1 - rsq) * (len(y_test) - 1) / ( len(y_test) - x_test.shape[1] - 1 ) # noqa - config["round"] = server_round - config["auc"] = mape - save_results(loss, arsq, config=config, output_dir=output_dir) return loss, {"Adj-R2": arsq, "MAPE": mape} From 1595df01d74908660b305e252879007267abf185 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Fri, 5 Jan 2024 19:43:00 +0100 Subject: [PATCH 47/91] Fix error --- baselines/flanders/flanders/utils.py | 33 ++++++++++++++++++++++++++++ 1 file changed, 33 insertions(+) diff --git a/baselines/flanders/flanders/utils.py b/baselines/flanders/flanders/utils.py index 6d5971d3daeb..6519088d5994 100644 --- a/baselines/flanders/flanders/utils.py +++ b/baselines/flanders/flanders/utils.py @@ -48,6 +48,39 @@ def l2_norm(true_matrix, predicted_matrix): anomaly_scores = np.sum(delta**2, axis=-1) ** (1.0 / 2) return anomaly_scores + +def save_params( + parameters, cid, params_dir="clients_params", remove_last=False, rrl=False +): + """Save parameters in a file. + + Args: + - parameters (ndarray): decoded parameters to append at the end of the file + - cid (int): identifier of the client + - remove_last (bool): + if True, remove the last saved parameters and replace with "parameters" + - rrl (bool): + if True, remove the last saved parameters and replace with the ones + saved before this round. + """ + new_params = parameters + # Save parameters in clients_params/cid_params + path_file = f"{params_dir}/{cid}_params.npy" + if os.path.exists(params_dir) is False: + os.mkdir(params_dir) + if os.path.exists(path_file): + # load old parameters + old_params = np.load(path_file, allow_pickle=True) + if remove_last: + old_params = old_params[:-1] + if rrl: + new_params = old_params[-1] + # add new parameters + new_params = np.vstack((old_params, new_params)) + + # save parameters + np.save(path_file, new_params) + def load_all_time_series(params_dir="clients_params", window=0): """Load all time series. From b929c3629b82b3821b857cc89a5ef9b6181bbed4 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Sat, 6 Jan 2024 16:49:26 +0100 Subject: [PATCH 48/91] Generalize flanders and enhancedserver --- baselines/flanders/flanders/main.py | 3 +- baselines/flanders/flanders/server.py | 72 +++++++++++++------------ baselines/flanders/flanders/strategy.py | 21 -------- baselines/flanders/flanders/utils.py | 8 +-- 4 files changed, 42 insertions(+), 62 deletions(-) diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 4de77436ea6f..43e71e03f532 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -171,8 +171,6 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): save_path = HydraConfig.get().runtime.output_dir - # rounds, train_loss = zip(*history.losses_distributed) - # _, train_accuracy = zip(*history.metrics_distributed["accuracy"]) rounds, test_loss = zip(*history.losses_centralized) _, test_accuracy = zip(*history.metrics_centralized["accuracy"]) _, test_auc = zip(*history.metrics_centralized["auc"]) @@ -188,6 +186,7 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): "attack": [attack_fn for _ in range(len(rounds))], "dataset_name": [dataset_name for _ in range(len(rounds))], "num_malicious": [num_malicious for _ in range(len(rounds))], + "strategy": [cfg.strategy.name for _ in range(len(rounds))] } ) diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index 11c5daa846cb..77992edd0f02 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -15,6 +15,7 @@ from flwr.server.server import Server, fit_clients from .utils import flatten_params, save_params +from .strategy import Flanders FitResultsAndFailures = Tuple[ List[Tuple[ClientProxy, FitRes]], @@ -322,41 +323,42 @@ def fit_round( server_round, results, failures ) - ( - parameters_aggregated, - metrics_aggregated, - good_clients_idx, - malicious_clients_idx, - ) = aggregated_result - log(INFO, "Malicious clients: %s", malicious_clients_idx) - - log(INFO, "clients_state: %s", clients_state) - for idx in good_clients_idx: - if clients_state[str(idx)]: - self.malicious_selected = True - break - self.malicious_selected = False - - # For clients detected as malicious, set their parameters to be the - # averaged ones in their files otherwise the forecasting in next round - # won't be reliable - if self.warmup_rounds > server_round: - log(INFO, "Saving parameters of clients") - for idx in malicious_clients_idx: - if self.sampling > 0: - new_params = flatten_params( - parameters_to_ndarrays(parameters_aggregated) - )[self.params_indexes] - else: - new_params = flatten_params( - parameters_to_ndarrays(parameters_aggregated) + if isinstance(self.strategy, Flanders): + ( + parameters_aggregated, + metrics_aggregated, + good_clients_idx, + malicious_clients_idx, + ) = aggregated_result + log(INFO, "Malicious clients: %s", malicious_clients_idx) + + log(INFO, "clients_state: %s", clients_state) + for idx in good_clients_idx: + if clients_state[str(idx)]: + self.malicious_selected = True + break + self.malicious_selected = False + + # For clients detected as malicious, replace the last params in their history with tha current global model, otherwise the forecasting in next round won't be reliable (see the paper for more details) + if self.warmup_rounds > server_round: + log(INFO, "Saving parameters of clients") + for idx in malicious_clients_idx: + if self.sampling > 0: + new_params = flatten_params( + parameters_to_ndarrays(parameters_aggregated) + )[self.params_indexes] + else: + new_params = flatten_params( + parameters_to_ndarrays(parameters_aggregated) + ) + save_params( + new_params, + idx, + params_dir=self.history_dir, + remove_last=True, + rrl=True, ) - save_params( - new_params, - idx, - params_dir=self.history_dir, - remove_last=True, - rrl=True, - ) + else: + parameters_aggregated, metrics_aggregated = aggregated_result return parameters_aggregated, metrics_aggregated, (results, failures) diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index 33418be99f1a..6c211a690a08 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -261,27 +261,6 @@ def aggregate_fit( malicious_clients_idx, ) - def evaluate( - self, - server_round, - parameters - ) -> Optional[Tuple[float, Dict[str, Scalar]]]: - """Evaluate model parameters. - - Evaluate model parameters using an evaluation function (centralized evaluation). - """ - if self.evaluate_fn is None: - # No evaluation function provided - return None - - eval_res = self.evaluate_fn( - server_round, parameters_to_ndarrays(parameters) - ) # type: ignore [call-arg] - if eval_res is None: - return None - loss, metrics = eval_res - return loss, metrics - # pylint: disable=too-many-locals, too-many-arguments, invalid-name def mar(X, pred_step, alpha=1, beta=1, maxiter=100, window=0): diff --git a/baselines/flanders/flanders/utils.py b/baselines/flanders/flanders/utils.py index 6519088d5994..a99aa8c76abc 100644 --- a/baselines/flanders/flanders/utils.py +++ b/baselines/flanders/flanders/utils.py @@ -125,7 +125,7 @@ def evaluate_aggregated( def mnist_evaluate( - server_round: int, parameters: NDArrays + server_round: int, parameters: NDArrays, config: Dict[str, Scalar] ): """Evaluate MNIST model on the test set.""" # determine device @@ -143,7 +143,7 @@ def mnist_evaluate( def cifar_evaluate( - server_round: int, parameters: NDArrays + server_round: int, parameters: NDArrays, config: Dict[str, Scalar] ): """Evaluate CIFAR-10 model on the test set.""" device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") @@ -161,7 +161,7 @@ def cifar_evaluate( def income_evaluate( - server_round: int, parameters: NDArrays + server_round: int, parameters: NDArrays, config: Dict[str, Scalar] ): """Evaluate Income model on the test set.""" model = LogisticRegression() @@ -182,7 +182,7 @@ def income_evaluate( def house_evaluate( - server_round: int, parameters: NDArrays + server_round: int, parameters: NDArrays, config: Dict[str, Scalar] ): """Evaluate House model on the test set.""" model = ElasticNet(alpha=1, warm_start=True) From 42e0ee3d3ee0c35435fb87d1435df5545abb51a8 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Sat, 6 Jan 2024 16:54:14 +0100 Subject: [PATCH 49/91] Format --- baselines/flanders/flanders/main.py | 11 +++++++---- baselines/flanders/flanders/server.py | 16 ++++++---------- baselines/flanders/flanders/utils.py | 27 ++++++++++++--------------- 3 files changed, 25 insertions(+), 29 deletions(-) diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 43e71e03f532..625f2ade4642 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -7,8 +7,8 @@ import shutil import flwr as fl -import pandas as pd import hydra +import pandas as pd from flwr.server.client_manager import SimpleClientManager from hydra.core.hydra_config import HydraConfig from hydra.utils import instantiate @@ -146,7 +146,7 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): ) else: raise ValueError("Strategy not supported") - + # 5. Start Simulation history = fl.simulation.start_simulation( client_fn=client_fn, @@ -175,7 +175,10 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): _, test_accuracy = zip(*history.metrics_centralized["accuracy"]) _, test_auc = zip(*history.metrics_centralized["auc"]) - file_name = os.path.join(save_path, "outputs/all_results.csv",) + file_name = os.path.join( + save_path, + "outputs/all_results.csv", + ) data = pd.DataFrame( { @@ -186,7 +189,7 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): "attack": [attack_fn for _ in range(len(rounds))], "dataset_name": [dataset_name for _ in range(len(rounds))], "num_malicious": [num_malicious for _ in range(len(rounds))], - "strategy": [cfg.strategy.name for _ in range(len(rounds))] + "strategy": [cfg.strategy.name for _ in range(len(rounds))], } ) diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index 77992edd0f02..c553be8a87df 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -14,8 +14,8 @@ from flwr.server.history import History from flwr.server.server import Server, fit_clients -from .utils import flatten_params, save_params from .strategy import Flanders +from .utils import flatten_params, save_params FitResultsAndFailures = Tuple[ List[Tuple[ClientProxy, FitRes]], @@ -101,11 +101,6 @@ def fit(self, num_rounds, timeout): log(INFO, "Initializing global parameters") self.parameters = self._get_initial_parameters(timeout=timeout) log(INFO, "Evaluating initial parameters") - config = { - "num_malicious": self.num_malicious, - "attack_fn": self.attack_fn, - "dataset_name": self.dataset_name, - } res = self.strategy.evaluate(0, parameters=self.parameters) if res is not None: @@ -319,9 +314,7 @@ def fit_round( # Aggregate training results log(INFO, "fit_round - Aggregating training results") - aggregated_result = self.strategy.aggregate_fit( - server_round, results, failures - ) + aggregated_result = self.strategy.aggregate_fit(server_round, results, failures) if isinstance(self.strategy, Flanders): ( @@ -339,7 +332,10 @@ def fit_round( break self.malicious_selected = False - # For clients detected as malicious, replace the last params in their history with tha current global model, otherwise the forecasting in next round won't be reliable (see the paper for more details) + # For clients detected as malicious, replace the last params in + # their history with tha current global model, otherwise the + # forecasting in next round won't be reliable (see the paper for + # more details) if self.warmup_rounds > server_round: log(INFO, "Saving parameters of clients") for idx in malicious_clients_idx: diff --git a/baselines/flanders/flanders/utils.py b/baselines/flanders/flanders/utils.py index a99aa8c76abc..39a20290ef4e 100644 --- a/baselines/flanders/flanders/utils.py +++ b/baselines/flanders/flanders/utils.py @@ -5,7 +5,6 @@ from typing import Callable, Dict, Optional, Tuple import numpy as np -import pandas as pd import torch from flwr.common import NDArrays, Parameters, Scalar, parameters_to_ndarrays from natsort import natsorted @@ -81,6 +80,7 @@ def save_params( # save parameters np.save(path_file, new_params) + def load_all_time_series(params_dir="clients_params", window=0): """Load all time series. @@ -104,19 +104,20 @@ def flatten_params(params): return np.concatenate(params, axis=None).ravel() +# pylint: disable=unused-argument def evaluate_aggregated( evaluate_fn: Optional[ Callable[[int, NDArrays, Dict[str, Scalar]], Tuple[float, Dict[str, Scalar]]] ], server_round: int, - parameters: Parameters + parameters: Parameters, ): """Evaluate model parameters using an evaluation function.""" if evaluate_fn is None: # No evaluation function provided return None parameters_ndarrays = parameters_to_ndarrays(parameters) - eval_res = evaluate_fn(server_round, parameters_ndarrays) + eval_res = evaluate_fn(server_round, parameters_ndarrays, {}) if eval_res is None: return None loss, metrics = eval_res @@ -124,9 +125,8 @@ def evaluate_aggregated( return loss, metrics -def mnist_evaluate( - server_round: int, parameters: NDArrays, config: Dict[str, Scalar] -): +# pylint: disable=unused-argument +def mnist_evaluate(server_round: int, parameters: NDArrays, config: Dict[str, Scalar]): """Evaluate MNIST model on the test set.""" # determine device device = torch.device("cpu") @@ -142,9 +142,8 @@ def mnist_evaluate( return loss, {"accuracy": accuracy, "auc": auc} -def cifar_evaluate( - server_round: int, parameters: NDArrays, config: Dict[str, Scalar] -): +# pylint: disable=unused-argument +def cifar_evaluate(server_round: int, parameters: NDArrays, config: Dict[str, Scalar]): """Evaluate CIFAR-10 model on the test set.""" device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") @@ -160,9 +159,8 @@ def cifar_evaluate( return loss, {"accuracy": accuracy, "auc": auc} -def income_evaluate( - server_round: int, parameters: NDArrays, config: Dict[str, Scalar] -): +# pylint: disable=unused-argument +def income_evaluate(server_round: int, parameters: NDArrays, config: Dict[str, Scalar]): """Evaluate Income model on the test set.""" model = LogisticRegression() model = set_sklearn_model_params(model, parameters) @@ -181,9 +179,8 @@ def income_evaluate( return loss, {"accuracy": accuracy, "auc": auc} -def house_evaluate( - server_round: int, parameters: NDArrays, config: Dict[str, Scalar] -): +# pylint: disable=unused-argument +def house_evaluate(server_round: int, parameters: NDArrays, config: Dict[str, Scalar]): """Evaluate House model on the test set.""" model = ElasticNet(alpha=1, warm_start=True) model = set_sklearn_model_params(model, parameters) From 3f1c0f289a6bb1ec83fbf3c8f449bf71f06563b7 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Wed, 10 Jan 2024 17:43:10 +0100 Subject: [PATCH 50/91] Fix an issue about params sampling --- baselines/flanders/flanders/server.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index c553be8a87df..f0140afced9c 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -239,6 +239,9 @@ def fit_round( clients_state[fitres.metrics["cid"]] = fitres.metrics["malicious"] params = flatten_params(parameters_to_ndarrays(fitres.parameters)) if self.sampling > 0: + # if the sampling number is greater than the number of + # parameters, just sample all of them + self.sampling = min(self.sampling, len(params)) if len(self.params_indexes) == 0: # Sample a random subset of parameters self.params_indexes = np.random.randint( From f50202dc33c68edfeea9c3a9e66f325a7ebfa549 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Sat, 27 Jan 2024 17:25:34 +0100 Subject: [PATCH 51/91] working noniid mnist --- baselines/flanders/flanders/client.py | 75 ++++++------- baselines/flanders/flanders/dataset.py | 136 +++++++++++++++--------- baselines/flanders/flanders/main.py | 16 ++- baselines/flanders/flanders/models.py | 112 ++++++++++++------- baselines/flanders/flanders/server.py | 5 +- baselines/flanders/flanders/strategy.py | 17 +++ baselines/flanders/flanders/utils.py | 20 ++++ 7 files changed, 242 insertions(+), 139 deletions(-) diff --git a/baselines/flanders/flanders/client.py b/baselines/flanders/flanders/client.py index e45397a809d9..523f2564d4a5 100644 --- a/baselines/flanders/flanders/client.py +++ b/baselines/flanders/flanders/client.py @@ -11,7 +11,7 @@ from sklearn.linear_model import ElasticNet, LogisticRegression from sklearn.metrics import accuracy_score, log_loss -from .dataset import get_dataloader, get_mnist +from .dataset import get_dataloader, get_mnist, cifar10_transformation, mnist_transformation from .models import CifarNet, MnistNet, test_cifar, test_mnist, train_cifar, train_mnist XY = Tuple[np.ndarray, np.ndarray] @@ -86,16 +86,21 @@ def set_initial_params_linear_regr(model): # Adapted from Pytorch quickstart example -class MnistClient(fl.client.NumPyClient): - """Flower client implementing MNIST image classification using PyTorch.""" +class CifarClient(fl.client.NumPyClient): + """Implementation of CIFAR-10 image classification using PyTorch.""" - def __init__(self, cid: str, pool_size: int): - """Instantiate a client for the MNIST dataset.""" + def __init__(self, cid, fed_dir_data): + """Instantiate a client for the CIFAR-10 dataset.""" self.cid = cid - self.properties: Dict[str, Scalar] = {"tensor_type": "numpy.ndarray"} - self.net = MnistNet() + self.fed_dir = Path(fed_dir_data) + self.properties = {"tensor_type": "numpy.ndarray"} + + # Instantiate model + self.net = CifarNet() + + # Determine device self.device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") - self.pool_size = pool_size + # self.device = torch.device("mps") def get_parameters(self, config): """Get model parameters as a list of NumPy ndarrays.""" @@ -107,27 +112,20 @@ def fit(self, parameters, config): # Load data for this client and get trainloader num_workers = 1 - - trainloader = get_mnist( - "flanders/datasets_files", - 32, + trainloader = get_dataloader( + self.fed_dir, self.cid, - nb_clients=self.pool_size, is_train=True, + batch_size=config["batch_size"], workers=num_workers, + transform=cifar10_transformation, ) - # Send model to device self.net.to(self.device) + train_cifar(self.net, trainloader, epochs=config["epochs"], device=self.device) - # Train - train_mnist(self.net, trainloader, epochs=config["epochs"], device=self.device) - - new_parameters = self.get_parameters(config={}) - - # Return local model and statistics return ( - new_parameters, + get_params(self.net), len(trainloader.dataset), {"malicious": config["malicious"], "cid": self.cid}, ) @@ -138,37 +136,26 @@ def evaluate(self, parameters, config): # Load data for this client and get trainloader num_workers = len(ray.worker.get_resource_ids()["CPU"]) - testloader = get_mnist( - "flanders/datasets_files", - 32, - self.cid, - nb_clients=self.pool_size, - is_train=False, - workers=num_workers, + valloader = get_dataloader( + self.fed_dir, self.cid, is_train=False, batch_size=50, workers=num_workers, transform=cifar10_transformation ) - # Send model to device self.net.to(self.device) + loss, accuracy = test_cifar(self.net, valloader, device=self.device) - # Evaluate - loss, accuracy = test_mnist(self.net, testloader, device=self.device) - - # Return statistics - return float(loss), len(testloader), {"accuracy": float(accuracy)} - + return float(loss), len(valloader.dataset), {"accuracy": float(accuracy)} -# Adapted from Pytorch quickstart example -class CifarClient(fl.client.NumPyClient): - """Implementation of CIFAR-10 image classification using PyTorch.""" +class MnistClient(fl.client.NumPyClient): + """Implementation of MNIST image classification using PyTorch.""" def __init__(self, cid, fed_dir_data): - """Instantiate a client for the CIFAR-10 dataset.""" + """Instantiate a client for the MNIST dataset.""" self.cid = cid self.fed_dir = Path(fed_dir_data) self.properties = {"tensor_type": "numpy.ndarray"} # Instantiate model - self.net = CifarNet() + self.net = MnistNet() # Determine device self.device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") @@ -190,10 +177,11 @@ def fit(self, parameters, config): is_train=True, batch_size=config["batch_size"], workers=num_workers, + transform=mnist_transformation, ) self.net.to(self.device) - train_cifar(self.net, trainloader, epochs=config["epochs"], device=self.device) + train_mnist(self.net, trainloader, epochs=config["epochs"], device=self.device) return ( get_params(self.net), @@ -208,15 +196,14 @@ def evaluate(self, parameters, config): # Load data for this client and get trainloader num_workers = len(ray.worker.get_resource_ids()["CPU"]) valloader = get_dataloader( - self.fed_dir, self.cid, is_train=False, batch_size=50, workers=num_workers + self.fed_dir, self.cid, is_train=False, batch_size=50, workers=num_workers, transform=mnist_transformation ) self.net.to(self.device) - loss, accuracy = test_cifar(self.net, valloader, device=self.device) + loss, accuracy = test_mnist(self.net, valloader, device=self.device) return float(loss), len(valloader.dataset), {"accuracy": float(accuracy)} - class IncomeClient(fl.client.NumPyClient): """Implementation income classification using scikit-learn.""" diff --git a/baselines/flanders/flanders/dataset.py b/baselines/flanders/flanders/dataset.py index 6670553b3a69..3b0d863bf555 100644 --- a/baselines/flanders/flanders/dataset.py +++ b/baselines/flanders/flanders/dataset.py @@ -38,20 +38,20 @@ def __len__(self): return self.len -def get_dataset(path_to_data: Path, cid: str, partition: str): +def get_dataset(path_to_data: Path, cid: str, partition: str, transform=None): """Return TorchVisionFL dataset object.""" # generate path to cid's data path_to_data = path_to_data / cid / (partition + ".pt") - return TorchVisionFL(path_to_data, transform=cifar10_transformation()) + return TorchVisionFL(path_to_data, transform=transform) def get_dataloader( - path_to_data: str, cid: str, is_train: bool, batch_size: int, workers: int + path_to_data: str, cid: str, is_train: bool, batch_size: int, workers: int, transform=None ): """Generate trainset/valset object and returns appropiate dataloader.""" partition = "train" if is_train else "val" - dataset = get_dataset(Path(path_to_data), str(cid), partition) + dataset = get_dataset(Path(path_to_data), str(cid), partition, transform=transform) # we use as number of workers all the cpu cores assigned to this actor kwargs = {"num_workers": workers, "pin_memory": True, "drop_last": False} @@ -109,7 +109,7 @@ def do_fl_partitioning( shutil.rmtree(splits_dir) Path.mkdir(splits_dir, parents=True) - for _, idx in enumerate(pool_size): + for idx in range(pool_size): labels = partitions[idx][1] image_idx = partitions[idx][0] imgs = images[image_idx] @@ -136,14 +136,23 @@ def do_fl_partitioning( return splits_dir -def cifar10_transformation(): +def cifar10_transformation(img): """Return a torchvision.transforms object for CIFAR10 dataset.""" return transforms.Compose( [ transforms.ToTensor(), transforms.Normalize((0.4914, 0.4822, 0.4465), (0.2023, 0.1994, 0.2010)), ] - ) + )(img) + +def mnist_transformation(img): + """Return TorchVision transformation for MNIST.""" + return transforms.Compose( + [ + transforms.ToTensor(), + transforms.Normalize(mean=(0.5,), std=(0.5,)), + ] + )(img) class TorchVisionFL(VisionDataset): @@ -211,61 +220,84 @@ def get_cifar_10(path_to_data="flanders/datasets_files/cifar_10/data"): torch.save([train_set.data, np.array(train_set.targets)], training_data) test_set = datasets.CIFAR10( - root=path_to_data, train=False, transform=cifar10_transformation() + root=path_to_data, train=False, transform=cifar10_transformation ) # returns path where training data is and testset return training_data, test_set +def get_mnist(path_to_data="flanders/datasets_files/mnist/data"): + """Download MNIST dataset.""" + # download dataset and load train set + train_set = datasets.MNIST(root=path_to_data, train=True, download=True) -def get_mnist( - data_root: str, - batch_size: int, - cid: int, - workers=1, - nb_clients=10, - is_train=True, -): - """Load both training and test datasets for MNIST. - - Parameters - ---------- - data_root: str - Directory where MNIST dataset will be stored. - train_batch_size: int - Mini-batch size for training set. - test_batch_size: int - Mini-batch size for test set. - cid: int - Client ID used to select a specific partition. - nb_clients: int - Total number of clients launched during training. - This value dictates the number of unique to be created. + # fuse all data splits into a single "training.pt" + data_loc = Path(path_to_data) / "MNIST" + training_data = data_loc / "training.pt" + print("Generating unified MNIST dataset") + torch.save([train_set.data, np.array(train_set.targets)], training_data) - Returns - ------- - (train_loader, test_loader): Tuple[DataLoader, DataLoader] - Tuple contaning DataLoaders for training and test sets. - """ - transform = transforms.Compose( - [transforms.ToTensor(), transforms.Normalize((0.1307,), (0.3081,))] + test_set = datasets.MNIST( + root=path_to_data, train=False, transform=mnist_transformation ) - if is_train: - dataset = datasets.MNIST( - data_root, train=True, download=True, transform=transform - ) - else: - dataset = datasets.MNIST(data_root, train=False, transform=transform) - loader = dataset_partitioner( - dataset=dataset, - batch_size=batch_size, - client_id=cid, - number_of_clients=nb_clients, - workers=workers, - ) + # Print the first image's shape and data type + image, label = test_set[0] + print("Image Shape:", image.shape) + print("Image Data Type:", image.dtype) + + # returns path where training data is and testset + return training_data, test_set + - return loader +#def get_mnist( +# data_root: str, +# batch_size: int, +# cid: int, +# workers=1, +# nb_clients=10, +# is_train=True, +#): +# """Load both training and test datasets for MNIST. +# +# Parameters +# ---------- +# data_root: str +# Directory where MNIST dataset will be stored. +# train_batch_size: int +# Mini-batch size for training set. +# test_batch_size: int +# Mini-batch size for test set. +# cid: int +# Client ID used to select a specific partition. +# nb_clients: int +# Total number of clients launched during training. +# This value dictates the number of unique to be created. +# +# Returns +# ------- +# (train_loader, test_loader): Tuple[DataLoader, DataLoader] +# Tuple contaning DataLoaders for training and test sets. +# """ +# transform = transforms.Compose( +# [transforms.ToTensor(), transforms.Normalize((0.1307,), (0.3081,))] +# ) +# if is_train: +# dataset = datasets.MNIST( +# data_root, train=True, download=True, transform=transform +# ) +# else: +# dataset = datasets.MNIST(data_root, train=False, transform=transform) +# +# loader = dataset_partitioner( +# dataset=dataset, +# batch_size=batch_size, +# client_id=cid, +# number_of_clients=nb_clients, +# workers=workers, +# ) +# +# return loader def dataset_partitioner( diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 625f2ade4642..ecb267f0ecf6 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -19,6 +19,7 @@ from .dataset import ( do_fl_partitioning, get_cifar_10, + get_mnist, get_partitioned_house, get_partitioned_income, ) @@ -28,6 +29,7 @@ house_evaluate, income_evaluate, l2_norm, + cosine_distance, mnist_evaluate, ) @@ -78,6 +80,16 @@ def main(cfg: DictConfig) -> None: val_ratio=0.5, seed=1234, ) + elif dataset_name == "mnist": + train_path, _ = get_mnist() + fed_dir = do_fl_partitioning( + train_path, + pool_size=cfg.server.pool_size, + alpha=10000, + num_classes=10, + val_ratio=0.5, + seed=1234, + ) elif dataset_name == "income": x_train, x_test, y_train, y_test = get_partitioned_income( "flanders/datasets_files/adult.csv", cfg.server.pool_size @@ -92,10 +104,8 @@ def main(cfg: DictConfig) -> None: def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): client = clients[dataset_name][0] cid_idx = int(cid) - if dataset_name == "cifar": + if dataset_name == "cifar" or dataset_name == "mnist": return client(cid, fed_dir) - elif dataset_name == "mnist": - return client(cid, pool_size) elif dataset_name == "income": return client( cid, diff --git a/baselines/flanders/flanders/models.py b/baselines/flanders/flanders/models.py index 727d14e6c719..ef6cc392d7bb 100644 --- a/baselines/flanders/flanders/models.py +++ b/baselines/flanders/flanders/models.py @@ -19,71 +19,105 @@ def roc_auc_multiclass(y_true, y_pred): # Source: # github.com/bladesteam/blades/blob/master/src/blades/models/mnist/mlp.py -class MnistNet(nn.Module): - """Simple MLP for MNIST.""" +#class MnistNet(nn.Module): +# """Simple MLP for MNIST.""" +# +# def __init__(self): +# """Initialize the model.""" +# super().__init__() +# # number of hidden nodes in each layer (512) +# hidden_1 = 128 +# hidden_2 = 256 +# # linear layer (784 -> hidden_1) +# self.fc1 = nn.Linear(28 * 28, hidden_1) +# # linear layer (n_hidden -> hidden_2) +# self.fc2 = nn.Linear(hidden_1, hidden_2) +# # linear layer (n_hidden -> 10) +# self.fc3 = nn.Linear(hidden_2, 10) +# # dropout layer (p=0.2) +# # dropout prevents overfitting of data +# self.dropout = nn.Dropout(0.2) +# +# def forward(self, x): +# """Forward pass through the network.""" +# # flatten image input +# x = x.view(-1, 28 * 28) +# # add hidden layer, with relu activation function +# x = F.relu(self.fc1(x)) +# # add dropout layer +# x = self.dropout(x) +# # add hidden layer, with relu activation function +# x = F.relu(self.fc2(x)) +# # add dropout layer +# x = self.dropout(x) +# # add output layer +# x = self.fc3(x) +# x = F.log_softmax(x, dim=1) +# return x +class MnistNet(nn.Module): def __init__(self): - """Initialize the model.""" - super().__init__() - # number of hidden nodes in each layer (512) - hidden_1 = 128 - hidden_2 = 256 - # linear layer (784 -> hidden_1) - self.fc1 = nn.Linear(28 * 28, hidden_1) - # linear layer (n_hidden -> hidden_2) - self.fc2 = nn.Linear(hidden_1, hidden_2) - # linear layer (n_hidden -> 10) - self.fc3 = nn.Linear(hidden_2, 10) - # dropout layer (p=0.2) - # dropout prevents overfitting of data - self.dropout = nn.Dropout(0.2) + super(MnistNet, self).__init__() + self.fc1 = nn.Linear(28 * 28, 128) + self.fc2 = nn.Linear(128, 10) def forward(self, x): - """Forward pass through the network.""" - # flatten image input x = x.view(-1, 28 * 28) - # add hidden layer, with relu activation function x = F.relu(self.fc1(x)) - # add dropout layer - x = self.dropout(x) - # add hidden layer, with relu activation function - x = F.relu(self.fc2(x)) - # add dropout layer - x = self.dropout(x) - # add output layer - x = self.fc3(x) - x = F.log_softmax(x, dim=1) - return x + x = self.fc2(x) + return F.log_softmax(x, dim=1) def train_mnist(model, dataloader, epochs, device): - """Train the network on the training set.""" - n_total_steps = len(dataloader) criterion = nn.CrossEntropyLoss() optimizer = torch.optim.Adam(model.parameters(), lr=0.001) + for epoch in range(epochs): for i, (images, labels) in enumerate(dataloader): - # origin shape: [100, 1, 28, 28] - # resized: [100, 784] - images = images.reshape(-1, 28 * 28).to(device) + images = images.view(-1, 28 * 28).to(device) labels = labels.to(device) - # Forward pass + optimizer.zero_grad() outputs = model(images) loss = criterion(outputs, labels) - - # Backward and optimize - optimizer.zero_grad() loss.backward() optimizer.step() if (i + 1) % 100 == 0: print( f"Epoch [{epoch+1}/{epochs}], " - f"Step [{i+1}/{n_total_steps}], " + f"Step [{i+1}/{len(dataloader)}], " f"Loss: {loss.item():.4f}" ) +#def train_mnist(model, dataloader, epochs, device): +# """Train the network on the training set.""" +# n_total_steps = len(dataloader) +# criterion = nn.CrossEntropyLoss() +# optimizer = torch.optim.Adam(model.parameters(), lr=0.001) +# for epoch in range(epochs): +# for i, (images, labels) in enumerate(dataloader): +# # origin shape: [100, 1, 28, 28] +# # resized: [100, 784] +# images = images.reshape(-1, 28 * 28).to(device) +# labels = labels.to(device) +# +# # Forward pass +# outputs = model(images) +# loss = criterion(outputs, labels) +# +# # Backward and optimize +# optimizer.zero_grad() +# loss.backward() +# optimizer.step() +# +# if (i + 1) % 100 == 0: +# print( +# f"Epoch [{epoch+1}/{epochs}], " +# f"Step [{i+1}/{n_total_steps}], " +# f"Loss: {loss.item():.4f}" +# ) + # pylint: disable=too-many-locals def test_mnist(model, dataloader, device): diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index f0140afced9c..42873a4943a7 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -200,6 +200,9 @@ def fit_round( self.malicious_lst = np.random.choice( [proxy.cid for proxy, _ in client_instructions], size=size, replace=False ) + # TODO: remove this + self.malicious_lst = ["0","1"] + log( DEBUG, "fit_round %s: malicious clients selected %s", @@ -355,7 +358,7 @@ def fit_round( idx, params_dir=self.history_dir, remove_last=True, - rrl=True, + rrl=False, ) else: parameters_aggregated, metrics_aggregated = aggregated_result diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index 6c211a690a08..8905365eaa1c 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -222,6 +222,9 @@ def aggregate_fit( beta=self.beta, ) + print("Ground truth: ", ground_truth) + print("Predicted matrix: ", predicted_matrix[:, :, 0]) + log(INFO, "Computing anomaly scores") anomaly_scores = self.distance_function( ground_truth, predicted_matrix[:, :, 0] @@ -235,8 +238,22 @@ def aggregate_fit( malicious_clients_idx = sorted( np.argsort(anomaly_scores)[self.num_clients_to_keep :] ) # noqa + + # TODO: remove this + good_clients_idx = [2,3,4] + malicious_clients_idx = [0,1] + # Compute the average anomaly score for the good clients + avg_anomaly_score_gc = np.mean(anomaly_scores[good_clients_idx]) + print("avg anomaly score for good clients", avg_anomaly_score_gc) + avg_anomaly_score_m = np.mean(anomaly_scores[malicious_clients_idx]) + print("avg anomaly score for malicious clients", avg_anomaly_score_m) + ########################################## + results = np.array(results)[good_clients_idx].tolist() log(INFO, "Good clients: %s", good_clients_idx) + # Save the avg anomaly score into a file + with open("anomaly_scores.txt", "a") as f: + f.write(f"{server_round},{avg_anomaly_score_gc},{avg_anomaly_score_m}\n") log(INFO, "Applying FedAvg") # Convert results diff --git a/baselines/flanders/flanders/utils.py b/baselines/flanders/flanders/utils.py index 39a20290ef4e..8603c07c7930 100644 --- a/baselines/flanders/flanders/utils.py +++ b/baselines/flanders/flanders/utils.py @@ -17,6 +17,7 @@ r2_score, roc_auc_score, ) +from sklearn.metrics.pairwise import cosine_distances from torch.utils.data import DataLoader from torchvision import transforms from torchvision.datasets import MNIST @@ -47,6 +48,25 @@ def l2_norm(true_matrix, predicted_matrix): anomaly_scores = np.sum(delta**2, axis=-1) ** (1.0 / 2) return anomaly_scores +def cosine_distance(true_matrix, predicted_matrix): + """Compute the cosine distance between two matrices. + + Parameters + ---------- + true_matrix : ndarray + The true matrix. + predicted_matrix : ndarray + The predicted matrix by MAR. + + Returns + ------- + anomaly_scores : ndarray + 1-d array of anomaly scores. + """ + cosine_distances_matrix = cosine_distances(true_matrix, predicted_matrix) + anomaly_scores = np.sum(cosine_distances_matrix, axis=1) + return anomaly_scores + def save_params( parameters, cid, params_dir="clients_params", remove_last=False, rrl=False From 7ad04b78697508b69296015426372db456ecc898 Mon Sep 17 00:00:00 2001 From: jafermarq Date: Sat, 27 Jan 2024 19:46:17 +0000 Subject: [PATCH 52/91] minor tweaks --- baselines/flanders/README.md | 27 ++++++++++++--------------- baselines/flanders/pyproject.toml | 12 +++++++++--- 2 files changed, 21 insertions(+), 18 deletions(-) diff --git a/baselines/flanders/README.md b/baselines/flanders/README.md index 381a65209e95..af9a52907fac 100644 --- a/baselines/flanders/README.md +++ b/baselines/flanders/README.md @@ -5,31 +5,31 @@ labels: [robustness, model poisoning, anomaly detection, autoregressive model, r dataset: [MNIST, Income, CIFAR-10, California Housing] --- -****Paper:**** [arxiv.org/abs/2303.16668](https://arxiv.org/abs/2303.16668) +**Paper:** [arxiv.org/abs/2303.16668](https://arxiv.org/abs/2303.16668) -****Authors:**** Gabriele Tolomei, Edoardo Gabrielli, Dimitri Belli, Vittorio Miori +**Authors:** Gabriele Tolomei, Edoardo Gabrielli, Dimitri Belli, Vittorio Miori -****Abstract:**** In this work, we propose FLANDERS, a novel federated learning (FL) aggregation scheme robust to Byzantine attacks. FLANDERS considers the local model updates sent by clients at each FL round as a matrix-valued time series. Then, it identifies malicious clients as outliers of this time series by comparing actual observations with those estimated by a matrix autoregressive forecasting model. Experiments conducted on several datasets under different FL settings demonstrate that FLANDERS matches the robustness of the most powerful baselines against Byzantine clients. Furthermore, FLANDERS remains highly effective even under extremely severe attack scenarios, as opposed to existing defense strategies. +**Abstract:** In this work, we propose FLANDERS, a novel federated learning (FL) aggregation scheme robust to Byzantine attacks. FLANDERS considers the local model updates sent by clients at each FL round as a matrix-valued time series. Then, it identifies malicious clients as outliers of this time series by comparing actual observations with those estimated by a matrix autoregressive forecasting model. Experiments conducted on several datasets under different FL settings demonstrate that FLANDERS matches the robustness of the most powerful baselines against Byzantine clients. Furthermore, FLANDERS remains highly effective even under extremely severe attack scenarios, as opposed to existing defense strategies. ## About this baseline -****What’s implemented:**** The code in this directory replicates the results on MNIST and Income datasets under all attack settings (Gaussian, LIE, OPT and AGR-MM), but I've also implemented the code for California Housing and CIFAR-10. More specifically, you can reproduce part of Fig. 3 (a) and (b), and part of Fig. 4 and Fig. 5 in Appendix G.2 (there's no division between $b\lt50%$, and $b\ge50%$.). Since here I do not compare FLANDERS with other defence baselines, all attacks are grouped into the same plot. +**What’s implemented:** The code in this directory replicates the results on MNIST and Income datasets under all attack settings (Gaussian, LIE, OPT and AGR-MM), but I've also implemented the code for California Housing and CIFAR-10. More specifically, you can reproduce part of Fig. 3 (a) and (b), and part of Fig. 4 and Fig. 5 in Appendix G.2 (there's no division between $b\lt50%$, and $b\ge50%$.). Since here I do not compare FLANDERS with other defence baselines, all attacks are grouped into the same plot. -****Datasets:**** MNIST, Income +**Datasets:** MNIST, Income -****Hardware Setup:**** Apple M2 Pro, 16gb RAM +**Hardware Setup:** Apple M2 Pro, 16gb RAM -****Estimated time to run:**** For **Income**, 117 seconds. For **MNIST**, 24 minutes. This is the time estimated for a *single experiment* (i.e. 50 rounds, 10 clients sampled each round, 1 local epoch). +**Estimated time to run:** For **Income**, 117 seconds. For **MNIST**, 24 minutes. This is the time estimated for a *single experiment* (i.e. 50 rounds, 10 clients sampled each round, 1 local epoch). -****Contributors:**** Edoardo Gabrielli, University of Rome "La Sapienza" ([GitHub](https://github.com/edogab33), [LinkedIn](https://www.linkedin.com/in/edoardog/), [Scholar](https://scholar.google.com/citations?user=b3bePdYAAAAJ)) +**Contributors:** Edoardo Gabrielli, University of Rome "La Sapienza" ([GitHub](https://github.com/edogab33), [LinkedIn](https://www.linkedin.com/in/edoardog/), [Scholar](https://scholar.google.com/citations?user=b3bePdYAAAAJ)) ## Experimental Setup -****Task:**** Image classification, logistic regression, linear regression +**Task:** Image classification, logistic regression, linear regression -****Models:**** Appendix C of the paper describes the models, but here's a summary. +**Models:** Appendix C of the paper describes the models, but here's a summary. Income (binary classification): - cyclic coordinate descent (CCD) @@ -43,7 +43,7 @@ MNIST (multilabel classification, fully connected, feed forward NN): - hidden layer 2: 256 -****Dataset:**** Every dataset is partitioned into two disjoint sets: 80% for training and 20% for testing. The training set is distributed uniformly across all clients (100), while the testing set is held by the server to evaluate the global model. +**Dataset:** Every dataset is partitioned into two disjoint sets: 80% for training and 20% for testing. The training set is distributed uniformly across all clients (100), while the testing set is held by the server to evaluate the global model. | Description | Default Value | | ----------- | ----- | @@ -52,7 +52,7 @@ MNIST (multilabel classification, fully connected, feed forward NN): | Training set | 80% | | Testing set | 20% | -****Training Hyperparameters:**** +**Training Hyperparameters:** | Dataset | # of clients | Clients per round | # of rounds | $L$ | Batch size | Learning rate | $\lambda_1$ | $\lambda_2$ | Optimizer | Dropout | Alpha | Beta | # of clients to keep | Sampling | | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | @@ -74,9 +74,6 @@ poetry install # Activate the env poetry shell - -# Manually install natsort -pip install natsort ``` diff --git a/baselines/flanders/pyproject.toml b/baselines/flanders/pyproject.toml index 04711e71bf8a..416247f9c7bb 100644 --- a/baselines/flanders/pyproject.toml +++ b/baselines/flanders/pyproject.toml @@ -37,13 +37,19 @@ classifiers = [ ] [tool.poetry.dependencies] -python = ">=3.9, <3.12.0" # pandas requires >=3.9 +python = ">=3.10, <3.12.0" hydra-core = "1.3.2" # don't change this flwr = {extras = ["simulation"], version = "1.6.0" } -torch = "2.1.1" +torch = [ + { platform = "darwin", version = "2.1.1" }, + { platform = "linux", url = "https://download.pytorch.org/whl/cu118/torch-2.1.1%2Bcu118-cp310-cp310-linux_x86_64.whl" } + ] +torchvision = [ + { platform = "darwin", version = "0.16.1"}, + { platform = "linux", url = "https://download.pytorch.org/whl/cu118/torchvision-0.16.1%2Bcu118-cp310-cp310-linux_x86_64.whl" } + ] pandas = "^2.1.3" scikit-learn = "1.3.2" -torchvision = "0.16.1" ipykernel = "^6.27.1" natsort = "^8.4.0" seaborn = "^0.13.0" From fafb167d43b6f7f8698506852d90668c18e4a50a Mon Sep 17 00:00:00 2001 From: jafermarq Date: Sat, 27 Jan 2024 20:01:47 +0000 Subject: [PATCH 53/91] save .csv to directory and to outputs/; fix labels for csv (so can be read by plot notebook) --- baselines/flanders/flanders/main.py | 43 +++++++++++++++-------------- 1 file changed, 22 insertions(+), 21 deletions(-) diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 625f2ade4642..1114b2f0bb29 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -175,28 +175,29 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): _, test_accuracy = zip(*history.metrics_centralized["accuracy"]) _, test_auc = zip(*history.metrics_centralized["auc"]) - file_name = os.path.join( - save_path, - "outputs/all_results.csv", - ) - - data = pd.DataFrame( - { - "round": rounds, - "test_loss": test_loss, - "test_accuracy": test_accuracy, - "test_auc": test_auc, - "attack": [attack_fn for _ in range(len(rounds))], - "dataset_name": [dataset_name for _ in range(len(rounds))], - "num_malicious": [num_malicious for _ in range(len(rounds))], - "strategy": [cfg.strategy.name for _ in range(len(rounds))], - } - ) + # Save results as .csv in the output directory of this experiment as well as + # in outputs/all_results.csv. For the latter results are appended if the file + # already exists. This is useful when running multiruns. + path_to_save = [os.path.join(save_path,"results.csv"), "outputs/all_results.csv"] + + for file_name in path_to_save: + data = pd.DataFrame( + { + "round": rounds, + "loss": test_loss, + "accuracy": test_accuracy, + "auc": test_auc, + "attack_fn": [attack_fn for _ in range(len(rounds))], + "dataset_name": [dataset_name for _ in range(len(rounds))], + "num_malicious": [num_malicious for _ in range(len(rounds))], + "strategy": [cfg.strategy.name for _ in range(len(rounds))], + } + ) - if os.path.exists(file_name): - data.to_csv(file_name, mode="a", header=False, index=False) - else: - data.to_csv(file_name, index=False, header=True) + if os.path.exists(file_name): + data.to_csv(file_name, mode="a", header=False, index=False) + else: + data.to_csv(file_name, index=False, header=True) # pylint: disable=unused-argument From 5fb0a51afc0dd0a46bc43d1d7f631a1bcc2b5318 Mon Sep 17 00:00:00 2001 From: jafermarq Date: Sun, 28 Jan 2024 10:28:25 +0000 Subject: [PATCH 54/91] hydra subdirs; formatting --- baselines/flanders/flanders/conf/base.yaml | 4 ---- baselines/flanders/flanders/main.py | 2 +- 2 files changed, 1 insertion(+), 5 deletions(-) diff --git a/baselines/flanders/flanders/conf/base.yaml b/baselines/flanders/flanders/conf/base.yaml index ad78b4e2c018..748763c88bb7 100644 --- a/baselines/flanders/flanders/conf/base.yaml +++ b/baselines/flanders/flanders/conf/base.yaml @@ -11,10 +11,6 @@ defaults: - _self_ - strategy: flanders -hydra: - output_subdir: null - run: - dir: . dataset: mnist diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 1114b2f0bb29..8418becf7259 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -178,7 +178,7 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): # Save results as .csv in the output directory of this experiment as well as # in outputs/all_results.csv. For the latter results are appended if the file # already exists. This is useful when running multiruns. - path_to_save = [os.path.join(save_path,"results.csv"), "outputs/all_results.csv"] + path_to_save = [os.path.join(save_path, "results.csv"), "outputs/all_results.csv"] for file_name in path_to_save: data = pd.DataFrame( From 05b5b736a63186c74a5285dfbf40cf3166e6cd46 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Sun, 28 Jan 2024 19:02:52 +0100 Subject: [PATCH 55/91] Add dnc, fix opt, start parametric flanders aggr --- baselines/flanders/flanders/attacks.py | 145 ++++++++++-------- baselines/flanders/flanders/client.py | 8 +- baselines/flanders/flanders/main.py | 15 ++ baselines/flanders/flanders/server.py | 49 +++--- .../flanders/flanders/strategies/aggregate.py | 33 ++++ baselines/flanders/flanders/strategies/dnc.py | 136 ++++++++++++++++ baselines/flanders/flanders/strategy.py | 9 +- 7 files changed, 299 insertions(+), 96 deletions(-) create mode 100644 baselines/flanders/flanders/strategies/aggregate.py create mode 100644 baselines/flanders/flanders/strategies/dnc.py diff --git a/baselines/flanders/flanders/attacks.py b/baselines/flanders/flanders/attacks.py index 47e23270f1bb..8fa92065cbe0 100644 --- a/baselines/flanders/flanders/attacks.py +++ b/baselines/flanders/flanders/attacks.py @@ -61,7 +61,7 @@ def perturbate(vect): def lie_attack( ordered_results, states, - omniscent, + omniscent=True, **kwargs, ): """Apply Omniscent LIE attack, Baruch et al. (2019) on parameters. @@ -96,6 +96,8 @@ def lie_attack( num_clients = len(ordered_results) num_malicious = sum(val is True for val in states.values()) + #print(f"states: {states}") + #print(f"num_malicious: {num_malicious} and num_clients: {num_clients}") # pylint: disable=c-extension-no-member num_supporters = math.floor((num_clients / 2) + 1) - num_malicious @@ -115,7 +117,7 @@ def lie_attack( def fang_attack( ordered_results, states, - omniscent, + omniscent=True, **kwargs, ): """Apply Local Model Poisoning Attacks. @@ -134,8 +136,8 @@ def fang_attack( otherwise). omniscent Whether the attacker knows the local models of all clients or not. - num_params - Number of parameters. + num_layers + Number of layers. w_re The received global model. old_lambda @@ -150,11 +152,15 @@ def fang_attack( results List of tuples (client_proxy, fit_result) ordered by client id. """ - num_params = kwargs.get("num_params", 1) + num_layers = kwargs.get("num_layers", 2) w_re = kwargs.get("w_re", None) # the received global model - old_lambda = kwargs.get("old_lambda", 0.0) - threshold = kwargs.get("threshold", 0.0) - malicious_selected = kwargs.get("malicious_selected", False) + threshold = kwargs.get("threshold", 1e-5) + + num_clients = len(ordered_results) + num_corrupted = sum(val is True for val in states.values()) + # there can't be an attack with less than 2 malicious clients + # to avoid division by 0 + num_corrupted = max(num_corrupted, 2) if not omniscent: # if not omniscent, the attacker doesn't know the @@ -165,65 +171,60 @@ def fang_attack( if states[ordered_results[i][1].metrics["cid"]] ] - num_clients = len(ordered_results) - num_corrupted = sum(val is True for val in states.values()) - - # there can't be an attack with less than 2 malicious clients - # to avoid division by 0 - num_corrupted = max(num_corrupted, 2) - - # lambda initialization - if old_lambda == 0: - benign = [ - (parameters_to_ndarrays(fitres.parameters), fitres.num_examples) - for _, fitres in ordered_results - if states[fitres.metrics["cid"]] is False - ] - all_params = [ - (parameters_to_ndarrays(fitres.parameters), fitres.num_examples) - for _, fitres in ordered_results - ] - # Compute the smallest distance that Krum would choose - _, _, _, distances = _krum(all_params, num_corrupted, 1) - - idx_benign = [int(cid) for cid in states.keys() if states[cid] is False] - - min_dist = np.min(np.array(distances)[idx_benign]) / ( - (num_clients - 2 * num_corrupted - 1) * np.sqrt(num_params) - ) - - # Compute max distance from w_re - dist_wre = np.zeros((len(benign))) - for i in range(len(benign)): - dist = [benign[i][0][j] - w_re[j] for j in range(num_params)] - norm_sums = 0 - for k in dist: - norm_sums += np.linalg.norm(k) - dist_wre[i] = norm_sums**2 - - max_dist = np.max(dist_wre) / np.sqrt(num_params) - curr_lambda = min_dist + max_dist # lambda - else: - # lambda halving search - curr_lambda = old_lambda - if old_lambda > threshold and malicious_selected is False: - curr_lambda = old_lambda * 0.5 + # Initialize lambda + benign = [ + (parameters_to_ndarrays(fitres.parameters), fitres.num_examples) + for _, fitres in ordered_results + if states[fitres.metrics["cid"]] is False + ] + all_params = [ + (parameters_to_ndarrays(fitres.parameters), fitres.num_examples) + for _, fitres in ordered_results + ] + # Compute the smallest distance that Krum would choose + _, _, _, distances = _krum(all_params, num_corrupted, 1) - # Compute sign vector num_supporters - magnitude = [] - for _, _idx in enumerate(w_re): - magnitude.append(np.sign(w_re[i]) * curr_lambda) + idx_benign = [int(cid) for cid in states.keys() if states[cid] is False] - w_1 = [w_re[i] - magnitude[i] for i in range(len(w_re))] # corrupted model - corrupted_params = ndarrays_to_parameters(w_1) + min_dist = np.min(np.array(distances)[idx_benign]) / ( + ((num_clients - 2) * (num_corrupted - 1)) * np.sqrt(num_layers) + ) + # Compute max distance from w_re + dist_wre = np.zeros((len(benign))) + for i in range(len(benign)): + dist = [benign[i][0][j] - w_re[j] for j in range(num_layers)] + #print(f"dist: {dist}") + norm_sums = 0 + for k in dist: + norm_sums += np.linalg.norm(k) + #print(f"norm_sums: {norm_sums}") + dist_wre[i] = norm_sums**2 + #print(f"dist_wre: {dist_wre}") + max_dist = np.max(dist_wre) / np.sqrt(num_layers) + #print(f"max_dist: {max_dist}") + #print(f"min_dist: {min_dist}") + #print(f"num layers: {num_layers}") + #print(f"sqrt num layers: {np.sqrt(num_layers)}") + lamda = min(min_dist + max_dist, 999) # lambda (capped to 999 to avoid numerical problems in specific settings) + + malicious_selected, corrupted_params = _fang_corrupt_and_select(all_params, w_re, states, num_corrupted, lamda) + #print(f"starting lambda: {lamda}") + #print(f"malicious_selected: {malicious_selected}") + #print(f"lamda > threshold: {lamda > threshold}") + while lamda > threshold and malicious_selected is False: + lamda = lamda * 0.5 + malicious_selected, corrupted_params = _fang_corrupt_and_select(all_params, w_re, states, num_corrupted, lamda) + #print(f"-- lambda: {lamda}") + #print(f"-- malicious_selected: {malicious_selected}") + #print(f"-- lamda > threshold: {lamda > threshold}") # Set corrupted clients' updates to w_1 results = [ ( proxy, FitRes( fitres.status, - parameters=corrupted_params, + parameters=ndarrays_to_parameters(corrupted_params), num_examples=fitres.num_examples, metrics=fitres.metrics, ), @@ -233,7 +234,7 @@ def fang_attack( for proxy, fitres in ordered_results ] - return results, {"lambda": curr_lambda} + return results, {"lambda": lamda} def minmax_attack( @@ -404,6 +405,7 @@ def _krum(results, num_malicious, to_keep, num_closest=None): """ weights = [w for w, _ in results] # list of weights distance_matrix = _compute_distances(weights) # matrix of distances + #sprint(f"distance_matrix: {distance_matrix}") if not num_closest: num_closest = ( @@ -417,10 +419,12 @@ def _krum(results, num_malicious, to_keep, num_closest=None): closest_indices = _get_closest_indices( distance_matrix, num_closest ) # indices of closest points + #print(f"closest_indices: {closest_indices}") scores = [ np.sum(distance_matrix[i, closest_indices[i]]) for i in range(len(distance_matrix)) ] # scores i->j for each i + #print(f"krum scores: {scores}") best_index = np.argmin(scores) # index of the best score best_indices = np.argsort(scores)[::-1][ @@ -458,8 +462,29 @@ def _get_closest_indices(distance_matrix, num_closest): list of lists of indices of the closest points for each vector. """ closest_indices = [] - for _, idx in enumerate(distance_matrix): + for idx, _ in enumerate(distance_matrix): closest_indices.append( np.argsort(distance_matrix[idx])[1 : num_closest + 1].tolist() ) return closest_indices + +def _fang_corrupt_params(global_model, lamda): + # Compute sign vector num_supporters + magnitude = [] + for i, _ in enumerate(global_model): + magnitude.append(np.sign(global_model[i]) * lamda) + + corrupted_params = [global_model[i] - magnitude[i] for i in range(len(global_model))] # corrupted model + return corrupted_params + +def _fang_corrupt_and_select(all_models, global_model, states, num_corrupted, lamda): + # Check that krum selects a malicious client + corrupted_params = _fang_corrupt_params(global_model, lamda) + all_models_m = [ + (corrupted_params, num_examples) if states[str(i)] else all_models[i] + for i, (_, num_examples) in enumerate(all_models) + ] + _, idx_best_model, _, _ = _krum(all_models_m, num_corrupted, 1) + # Check if the best model is malicious + malicious_selected = states[str(idx_best_model)] + return malicious_selected, corrupted_params diff --git a/baselines/flanders/flanders/client.py b/baselines/flanders/flanders/client.py index 523f2564d4a5..c28a70efc340 100644 --- a/baselines/flanders/flanders/client.py +++ b/baselines/flanders/flanders/client.py @@ -127,7 +127,7 @@ def fit(self, parameters, config): return ( get_params(self.net), len(trainloader.dataset), - {"malicious": config["malicious"], "cid": self.cid}, + {"cid": self.cid}, ) def evaluate(self, parameters, config): @@ -186,7 +186,7 @@ def fit(self, parameters, config): return ( get_params(self.net), len(trainloader.dataset), - {"malicious": config["malicious"], "cid": self.cid}, + {"cid": self.cid}, ) def evaluate(self, parameters, config): @@ -233,7 +233,7 @@ def fit(self, parameters, config): return ( new_parameters, len(self.x_train), - {"malicious": config["malicious"], "cid": self.cid}, + {"cid": self.cid}, ) def evaluate(self, parameters, config): @@ -272,7 +272,7 @@ def fit(self, parameters, config): return ( new_parameters, len(self.x_train), - {"malicious": config["malicious"], "cid": self.cid}, + {"cid": self.cid}, ) def evaluate(self, parameters, config): diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index ecb267f0ecf6..5a2652a96e38 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -153,6 +153,21 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): min_evaluate_clients=0, num_clients_to_keep=cfg.strategy.strategy.num_clients_to_keep, min_available_clients=cfg.server.pool_size, + num_malicious_clients=num_malicious, + ) + elif cfg.strategy.name == "dnc": + strategy = instantiate( + cfg.strategy.strategy, + evaluate_fn=clients[dataset_name][1], + on_fit_config_fn=fit_config, + fraction_fit=1, + fraction_evaluate=0, + min_fit_clients=cfg.server.pool_size, + min_evaluate_clients=0, + min_available_clients=cfg.server.pool_size, + c=cfg.strategy.strategy.c, + niters=cfg.strategy.strategy.niters, + num_malicious_clients=num_malicious, ) else: raise ValueError("Strategy not supported") diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index 42873a4943a7..fdf4d6d97155 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -85,9 +85,7 @@ def __init__( self.history_dir = history_dir self.dataset_name = dataset_name self.magnitude = magnitude - self.malicious_selected = False self.threshold = threshold - self.old_lambda = 0.0 self.to_keep = to_keep self.omniscent = omniscent self.malicious_lst: List = [] @@ -202,19 +200,23 @@ def fit_round( ) # TODO: remove this self.malicious_lst = ["0","1"] + #################### + # Create dict clients_state to keep track of malicious clients + clients_state = dict() + for idx, (proxy, _) in enumerate(client_instructions): + clients_state[proxy.cid] = False + if proxy.cid in self.malicious_lst: + clients_state[proxy.cid] = True + # Sort clients states + clients_state = {k: clients_state[k] for k in sorted(clients_state)} log( DEBUG, - "fit_round %s: malicious clients selected %s", + "fit_round %s: malicious clients selected %s, clients_state %s", server_round, self.malicious_lst, + clients_state, ) - # Save instruction for malicious clients into FitIns - for proxy, ins in client_instructions: - if proxy.cid in self.malicious_lst: - ins.config["malicious"] = True - else: - ins.config["malicious"] = False # Collect `fit` results from all clients participating in this round results, failures = fit_clients( @@ -230,16 +232,9 @@ def fit_round( len(failures), ) - clients_state = ( - {} - ) # dictionary of clients representing wether they are malicious or not - # Save parameters of each client as time series ordered_results = [0 for _ in range(len(results))] - cids = np.array([]) for proxy, fitres in results: - cids = np.append(cids, int(fitres.metrics["cid"])) - clients_state[fitres.metrics["cid"]] = fitres.metrics["malicious"] params = flatten_params(parameters_to_ndarrays(fitres.parameters)) if self.sampling > 0: # if the sampling number is greater than the number of @@ -258,6 +253,8 @@ def fit_round( # Re-arrange results in the same order as clients' cids impose ordered_results[int(fitres.metrics["cid"])] = (proxy, fitres) + log(INFO, "Clients state: %s", clients_state) + # Initialize aggregated_parameters if it is the first round if self.aggregated_parameters == []: for key, val in clients_state.items(): @@ -269,6 +266,9 @@ def fit_round( # Apply attack function # the server simulates an attacker that controls a fraction of the clients + print(f"params shape: {self.aggregated_parameters[0].shape}") + print(f"params len: {len(self.aggregated_parameters)}") + print(f"num layers: {len(self.aggregated_parameters[0])}") if self.attack_fn is not None and server_round > self.warmup_rounds: log(INFO, "Applying attack function") results, others = self.attack_fn( @@ -277,19 +277,17 @@ def fit_round( omniscent=self.omniscent, magnitude=self.magnitude, w_re=self.aggregated_parameters, - malicious_selected=self.malicious_selected, threshold=self.threshold, d=len(self.aggregated_parameters), - old_lambda=self.old_lambda, dataset_name=self.dataset_name, to_keep=self.to_keep, malicious_num=self.num_malicious, + num_layers=len(self.aggregated_parameters), ) - self.old_lambda = others.get("lambda", 0.0) # Update saved parameters time series after the attack for _, fitres in results: - if fitres.metrics["malicious"]: + if clients_state[fitres.metrics["cid"]]: if self.sampling > 0: params = flatten_params( parameters_to_ndarrays(fitres.parameters) @@ -300,7 +298,7 @@ def fit_round( ) log( INFO, - "Saving parameters of client %s with shape %s", + "Saving parameters of client %s with shape %s after the attack", fitres.metrics["cid"], params.shape, ) @@ -314,10 +312,6 @@ def fit_round( results = ordered_results others = {} - # Sort clients states - clients_state = {k: clients_state[k] for k in sorted(clients_state)} - log(INFO, "Clients state: %s", clients_state) - # Aggregate training results log(INFO, "fit_round - Aggregating training results") aggregated_result = self.strategy.aggregate_fit(server_round, results, failures) @@ -332,11 +326,6 @@ def fit_round( log(INFO, "Malicious clients: %s", malicious_clients_idx) log(INFO, "clients_state: %s", clients_state) - for idx in good_clients_idx: - if clients_state[str(idx)]: - self.malicious_selected = True - break - self.malicious_selected = False # For clients detected as malicious, replace the last params in # their history with tha current global model, otherwise the diff --git a/baselines/flanders/flanders/strategies/aggregate.py b/baselines/flanders/flanders/strategies/aggregate.py new file mode 100644 index 000000000000..0c1dbfa8f692 --- /dev/null +++ b/baselines/flanders/flanders/strategies/aggregate.py @@ -0,0 +1,33 @@ +from functools import reduce +from typing import Any, Callable, List, Tuple + +import numpy as np + +from flwr.common import NDArray, NDArrays, parameters_to_ndarrays +from ..utils import flatten_params + +def aggregate_dnc(results: List[Tuple[NDArrays, int]], c: float, niters: int, num_clients, num_malicious) -> NDArrays: + flattened_params = [flatten_params(parameters_to_ndarrays(fitres.parameters)) for _, fitres in results] + + I_good = [] + for _ in range(niters): + mu: NDArrays = [ + reduce(np.add, layer_updates) / len(flattened_params) + for layer_updates in zip(*flattened_params) + ] + + model_c = [] + for idx in range(len(flattened_params)): + model_c.append(np.array(flattened_params[idx]) - np.array(mu)) + + _, _, v = np.linalg.svd(model_c, full_matrices=False) + s = [np.inner(model_i, v[0, :]) ** 2 for model_i in flattened_params] + + # save in I the self.sample_size[-1] - self.c * self.m[-1] smallestvalues from s + # and return the indices of the smallest values + to_keep = int(num_clients - c * num_malicious) + I = np.argsort(np.array(s))[:to_keep] + I_good.append(set(I.tolist())) + + I_final = list(set.intersection(*I_good)) + return np.array(results)[I_final].tolist() diff --git a/baselines/flanders/flanders/strategies/dnc.py b/baselines/flanders/flanders/strategies/dnc.py new file mode 100644 index 000000000000..c22cd2d0b867 --- /dev/null +++ b/baselines/flanders/flanders/strategies/dnc.py @@ -0,0 +1,136 @@ +import typing +from logging import WARNING +from typing import Callable, Dict, List, Optional, Tuple, Union + +from flwr.common import ( + FitIns, + FitRes, + MetricsAggregationFn, + NDArrays, + Parameters, + Scalar, +) +from flwr.common.logger import log +from flwr.server.client_proxy import ClientProxy +from flwr.server.client_manager import ClientManager +from flwr.server.strategy.fedavg import FedAvg +from .aggregate import aggregate_dnc + +WARNING_MIN_AVAILABLE_CLIENTS_TOO_LOW = """ +Setting `min_available_clients` lower than `min_fit_clients` or +`min_evaluate_clients` can cause the server to fail when there are too few clients +connected to the server. `min_available_clients` must be set to a value larger +than or equal to the values of `min_fit_clients` and `min_evaluate_clients`. +""" + +class DnC(FedAvg): + """Configurable DnC (Divide-and-Conquer) strategy implementation.""" + + # pylint: disable=too-many-arguments,too-many-instance-attributes + def __init__( + self, + *, + fraction_fit: float = 1.0, + fraction_evaluate: float = 1.0, + num_malicious_clients: int = 0, + min_fit_clients: int = 2, + min_evaluate_clients: int = 2, + min_available_clients: int = 2, + c: float = 1.0, + niters: int = 1, + evaluate_fn: Optional[ + Callable[ + [int, NDArrays, Dict[str, Scalar]], + Optional[Tuple[float, Dict[str, Scalar]]], + ] + ] = None, + on_fit_config_fn: Optional[Callable[[int], Dict[str, Scalar]]] = None, + on_evaluate_config_fn: Optional[Callable[[int], Dict[str, Scalar]]] = None, + accept_failures: bool = True, + initial_parameters: Optional[Parameters] = None, + fit_metrics_aggregation_fn: Optional[MetricsAggregationFn] = None, + evaluate_metrics_aggregation_fn: Optional[MetricsAggregationFn] = None, + ) -> None: + """ + Parameters + ---------- + fraction_malicious : float, otional + Fraction of malicious clients. Defaults to 0. + """ + + super().__init__( + fraction_fit=fraction_fit, + fraction_evaluate = fraction_evaluate, + min_fit_clients = min_fit_clients, + min_evaluate_clients = min_evaluate_clients, + min_available_clients = min_available_clients, + evaluate_fn = evaluate_fn, + on_fit_config_fn = on_fit_config_fn, + on_evaluate_config_fn = on_evaluate_config_fn, + accept_failures = accept_failures, + initial_parameters = initial_parameters, + fit_metrics_aggregation_fn = fit_metrics_aggregation_fn, + evaluate_metrics_aggregation_fn = evaluate_metrics_aggregation_fn, + ) + self.num_malicious_clients = num_malicious_clients + self.c = c + self.niters = niters + + @typing.no_type_check + def configure_fit( + self, server_round: int, parameters: Parameters, client_manager: ClientManager + ) -> List[Tuple[ClientProxy, FitIns]]: + """Configure the next round of training.""" + # Sample clients + sample_size, min_num_clients = self.num_fit_clients( + client_manager.num_available() + ) + + # Custom FitIns object for each client + fit_ins_list = [ + FitIns( + parameters, + {} + if not self.on_fit_config_fn + else self.on_fit_config_fn(server_round), + ) + for _ in range(sample_size) + ] + + clients = client_manager.sample( + num_clients=sample_size, min_num_clients=min_num_clients + ) + + # Return client/config pairs + result = [] + for client, fit in zip(clients, fit_ins_list): + result.append((client, fit)) + return result + + def aggregate_fit( + self, + server_round: int, + results: List[Tuple[ClientProxy, FitRes]], + failures: List[Union[Tuple[ClientProxy, FitRes], BaseException]], + ) -> Tuple[Optional[Parameters], Dict[str, Scalar]]: + """Aggregate fit results using DnC. + Steps: + 1. Sample models + 2. Dimension-wise mean of parameters (mu) + 3. Compute the centered update (that is, model_i - mu -> model_c) + 4. SVD on model_c + 5. Compute outlier score + 6. Filter "bad" models + """ + parameters_aggregated = aggregate_dnc(results, self.c, self.niters, len(results), self.num_malicious_clients) + parameters_aggregated, metrics_aggregated = super().aggregate_fit(server_round, results, failures) + + # Aggregate custom metrics if aggregation fn was provided + metrics_aggregated = {} + if self.fit_metrics_aggregation_fn: + fit_metrics = [(res.num_examples, res.metrics) for _, res in results] + metrics_aggregated = self.fit_metrics_aggregation_fn(fit_metrics) + elif server_round == 1: # Only log this warning once + log(WARNING, "No fit_metrics_aggregation_fn provided") + + return parameters_aggregated, metrics_aggregated \ No newline at end of file diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index 8905365eaa1c..a14b69a36595 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -58,6 +58,9 @@ def __init__( fit_metrics_aggregation_fn: Optional[MetricsAggregationFn] = None, evaluate_metrics_aggregation_fn: Optional[MetricsAggregationFn] = None, num_clients_to_keep: int = 1, + aggregate_fn: Callable[ + [List[Tuple[NDArrays, int]]], NDArrays + ] = aggregate, window: int = 0, maxiter: int = 100, alpha: float = 1, @@ -104,6 +107,9 @@ def __init__( num_clients_to_keep : int, optional Number of clients to keep (i.e., to classify as "good"), by default 1 + aggregate_fn : Callable[[List[Tuple[NDArrays, int]]], NDArrays], + optional + Function to aggregate the parameters, by default FedAvg window : int, optional Sliding window size used as a "training set" of MAR, by default 0 maxiter : int, optional @@ -136,7 +142,6 @@ def __init__( self.alpha = alpha self.beta = beta self.params_indexes = None - self.malicious_selected = False self.distance_function = distance_function @typing.no_type_check @@ -261,7 +266,7 @@ def aggregate_fit( (parameters_to_ndarrays(fit_res.parameters), fit_res.num_examples) for _, fit_res in results ] - parameters_aggregated = ndarrays_to_parameters(aggregate(weights_results)) + parameters_aggregated = ndarrays_to_parameters(self.aggregate_fn(weights_results)) # Aggregate custom metrics if aggregation fn was provided metrics_aggregated = {} From 4c1ab6bea95feb4c44f6060ffda3d7154633a98a Mon Sep 17 00:00:00 2001 From: edogab33 Date: Mon, 29 Jan 2024 13:49:19 +0100 Subject: [PATCH 56/91] Add parametric agggregation on flanders, fix results saving --- .../flanders/conf/aggregate_fn/fedavg.yaml | 6 ++ .../flanders/conf/aggregate_fn/krum.yaml | 8 ++ baselines/flanders/flanders/conf/base.yaml | 9 +-- .../flanders/flanders/conf/strategy/dnc.yaml | 8 ++ .../flanders/conf/strategy/fedavg.yaml | 5 ++ .../flanders/conf/strategy/flanders.yaml | 8 +- .../flanders/flanders/conf/strategy/krum.yaml | 3 +- baselines/flanders/flanders/main.py | 76 +++++++++++++------ baselines/flanders/flanders/server.py | 2 +- baselines/flanders/flanders/strategy.py | 30 ++++---- 10 files changed, 106 insertions(+), 49 deletions(-) create mode 100644 baselines/flanders/flanders/conf/aggregate_fn/fedavg.yaml create mode 100644 baselines/flanders/flanders/conf/aggregate_fn/krum.yaml create mode 100644 baselines/flanders/flanders/conf/strategy/dnc.yaml create mode 100644 baselines/flanders/flanders/conf/strategy/fedavg.yaml diff --git a/baselines/flanders/flanders/conf/aggregate_fn/fedavg.yaml b/baselines/flanders/flanders/conf/aggregate_fn/fedavg.yaml new file mode 100644 index 000000000000..826a4163b2eb --- /dev/null +++ b/baselines/flanders/flanders/conf/aggregate_fn/fedavg.yaml @@ -0,0 +1,6 @@ +--- +name: fedavg + +aggregate_fn: + function: flwr.server.strategy.aggregate.aggregate + parameters: {} \ No newline at end of file diff --git a/baselines/flanders/flanders/conf/aggregate_fn/krum.yaml b/baselines/flanders/flanders/conf/aggregate_fn/krum.yaml new file mode 100644 index 000000000000..ca6cfec3275a --- /dev/null +++ b/baselines/flanders/flanders/conf/aggregate_fn/krum.yaml @@ -0,0 +1,8 @@ +--- +name: krum + +aggregate_fn: + function: flwr.server.strategy.aggregate.aggregate_krum + parameters: + to_keep: 2 + num_malicious: ${server.num_malicious} \ No newline at end of file diff --git a/baselines/flanders/flanders/conf/base.yaml b/baselines/flanders/flanders/conf/base.yaml index ad78b4e2c018..6bdf781fad7e 100644 --- a/baselines/flanders/flanders/conf/base.yaml +++ b/baselines/flanders/flanders/conf/base.yaml @@ -9,12 +9,8 @@ defaults: - _self_ - - strategy: flanders - -hydra: - output_subdir: null - run: - dir: . + - strategy: fedavg + - aggregate_fn: fedavg dataset: mnist @@ -32,6 +28,7 @@ server: omniscent: True server_device: cpu +seed: 33 client_resources: num_cpus: 10 diff --git a/baselines/flanders/flanders/conf/strategy/dnc.yaml b/baselines/flanders/flanders/conf/strategy/dnc.yaml new file mode 100644 index 000000000000..672f7ee599db --- /dev/null +++ b/baselines/flanders/flanders/conf/strategy/dnc.yaml @@ -0,0 +1,8 @@ +--- +name: dnc + +strategy: + _target_: flanders.strategies.dnc.DnC + num_malicious_clients: 2 + niters: 5 + c: 1 \ No newline at end of file diff --git a/baselines/flanders/flanders/conf/strategy/fedavg.yaml b/baselines/flanders/flanders/conf/strategy/fedavg.yaml new file mode 100644 index 000000000000..1be4b0a0cc5b --- /dev/null +++ b/baselines/flanders/flanders/conf/strategy/fedavg.yaml @@ -0,0 +1,5 @@ +--- +name: fedavg + +strategy: + _target_: flwr.server.strategy.FedAvg \ No newline at end of file diff --git a/baselines/flanders/flanders/conf/strategy/flanders.yaml b/baselines/flanders/flanders/conf/strategy/flanders.yaml index 5411cf21c43a..4c49f150f1c1 100644 --- a/baselines/flanders/flanders/conf/strategy/flanders.yaml +++ b/baselines/flanders/flanders/conf/strategy/flanders.yaml @@ -3,6 +3,8 @@ name: flanders strategy: _target_: flanders.strategy.Flanders - _recursive_: false - num_clients_to_keep: 1 # number of benign local models to filter-out before the aggregation - maxiter: 50 # number of iterations done by MAR \ No newline at end of file + _recursive_: true + num_clients_to_keep: 3 # number of benign local models to filter-out before the aggregation + maxiter: 100 # number of iterations done by MAR + alpha: 1 + beta: 1 \ No newline at end of file diff --git a/baselines/flanders/flanders/conf/strategy/krum.yaml b/baselines/flanders/flanders/conf/strategy/krum.yaml index 84f4f159e653..bc36d37755fa 100644 --- a/baselines/flanders/flanders/conf/strategy/krum.yaml +++ b/baselines/flanders/flanders/conf/strategy/krum.yaml @@ -3,4 +3,5 @@ name: krum strategy: _target_: flwr.server.strategy.Krum - num_clients_to_keep: 1 \ No newline at end of file + num_clients_to_keep: 3 + num_malicious_clients: ${server.num_malicious} \ No newline at end of file diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 5a2652a96e38..8a8b05d0ecd6 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -5,8 +5,12 @@ """ import os import shutil +import importlib +import random import flwr as fl +import numpy as np +import torch import hydra import pandas as pd from flwr.server.client_manager import SimpleClientManager @@ -44,6 +48,14 @@ def main(cfg: DictConfig) -> None: cfg : DictConfig An omegaconf object that stores the hydra config. """ + # 0. Set random seed + seed = cfg.seed + np.random.seed(seed) + np.random.set_state(np.random.RandomState(seed).get_state()) + random.seed(seed) + torch.manual_seed(seed) + torch.cuda.manual_seed(seed) + # 1. Print parsed config print(OmegaConf.to_yaml(cfg)) @@ -75,7 +87,7 @@ def main(cfg: DictConfig) -> None: fed_dir = do_fl_partitioning( train_path, pool_size=cfg.server.pool_size, - alpha=10000, + alpha=0.5, num_classes=10, val_ratio=0.5, seed=1234, @@ -85,7 +97,7 @@ def main(cfg: DictConfig) -> None: fed_dir = do_fl_partitioning( train_path, pool_size=cfg.server.pool_size, - alpha=10000, + alpha=0.5, num_classes=10, val_ratio=0.5, seed=1234, @@ -128,6 +140,12 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): # 4. Define your strategy strategy = None if cfg.strategy.name == "flanders": + function_path = cfg.aggregate_fn.aggregate_fn.function + print(f"Using aggregation function: {function_path}") + module_name, function_name = function_path.rsplit('.', 1) + module = importlib.import_module(module_name) + aggregation_fn = getattr(module, function_name) + strategy = instantiate( cfg.strategy.strategy, evaluate_fn=clients[dataset_name][1], @@ -137,10 +155,14 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): min_fit_clients=cfg.server.pool_size, min_evaluate_clients=0, num_clients_to_keep=cfg.strategy.strategy.num_clients_to_keep, + aggregate_fn=aggregation_fn, + aggregate_parameters=cfg.aggregate_fn.aggregate_fn.parameters, min_available_clients=cfg.server.pool_size, window=cfg.server.warmup_rounds, distance_function=l2_norm, maxiter=cfg.strategy.strategy.maxiter, + alpha=cfg.strategy.strategy.alpha, + beta=int(cfg.strategy.strategy.beta), ) elif cfg.strategy.name == "krum": strategy = instantiate( @@ -169,6 +191,17 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): niters=cfg.strategy.strategy.niters, num_malicious_clients=num_malicious, ) + elif cfg.strategy.name == "fedavg": + strategy = instantiate( + cfg.strategy.strategy, + evaluate_fn=clients[dataset_name][1], + on_fit_config_fn=fit_config, + fraction_fit=1, + fraction_evaluate=0, + min_fit_clients=cfg.server.pool_size, + min_evaluate_clients=0, + min_available_clients=cfg.server.pool_size, + ) else: raise ValueError("Strategy not supported") @@ -200,28 +233,25 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): _, test_accuracy = zip(*history.metrics_centralized["accuracy"]) _, test_auc = zip(*history.metrics_centralized["auc"]) - file_name = os.path.join( - save_path, - "outputs/all_results.csv", - ) + path_to_save = [os.path.join(save_path,"results.csv"), "outputs/all_results.csv"] - data = pd.DataFrame( - { - "round": rounds, - "test_loss": test_loss, - "test_accuracy": test_accuracy, - "test_auc": test_auc, - "attack": [attack_fn for _ in range(len(rounds))], - "dataset_name": [dataset_name for _ in range(len(rounds))], - "num_malicious": [num_malicious for _ in range(len(rounds))], - "strategy": [cfg.strategy.name for _ in range(len(rounds))], - } - ) - - if os.path.exists(file_name): - data.to_csv(file_name, mode="a", header=False, index=False) - else: - data.to_csv(file_name, index=False, header=True) + for file_name in path_to_save: + data = pd.DataFrame( + { + "round": rounds, + "loss": test_loss, + "accuracy": test_accuracy, + "auc": test_auc, + "attack_fn": [attack_fn for _ in range(len(rounds))], + "dataset_name": [dataset_name for _ in range(len(rounds))], + "num_malicious": [num_malicious for _ in range(len(rounds))], + "strategy": [cfg.strategy.name for _ in range(len(rounds))], + } + ) + if os.path.exists(file_name): + data.to_csv(file_name, mode="a", header=False, index=False) + else: + data.to_csv(file_name, index=False, header=True) # pylint: disable=unused-argument diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index fdf4d6d97155..1abd69dbe1fe 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -199,7 +199,7 @@ def fit_round( [proxy.cid for proxy, _ in client_instructions], size=size, replace=False ) # TODO: remove this - self.malicious_lst = ["0","1"] + #self.malicious_lst = ["0","1"] #################### # Create dict clients_state to keep track of malicious clients diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index a14b69a36595..a6ed94de3713 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -58,9 +58,8 @@ def __init__( fit_metrics_aggregation_fn: Optional[MetricsAggregationFn] = None, evaluate_metrics_aggregation_fn: Optional[MetricsAggregationFn] = None, num_clients_to_keep: int = 1, - aggregate_fn: Callable[ - [List[Tuple[NDArrays, int]]], NDArrays - ] = aggregate, + aggregate_fn: Callable = aggregate, + aggregate_parameters: Dict[str, Scalar] = {}, window: int = 0, maxiter: int = 100, alpha: float = 1, @@ -143,6 +142,10 @@ def __init__( self.beta = beta self.params_indexes = None self.distance_function = distance_function + self.aggregate_fn = aggregate_fn + print(f"aggregate_fn {aggregate_fn}") + self.aggregate_parameters = aggregate_parameters + print(aggregate_parameters) @typing.no_type_check def configure_fit( @@ -206,16 +209,15 @@ def aggregate_fit( good_clients_idx = [] malicious_clients_idx = [] if server_round > 1: - win = self.window if server_round < self.window: - win = server_round + self.window = server_round params_tensor = load_all_time_series( - params_dir="clients_params", window=win + params_dir="clients_params", window=self.window ) params_tensor = np.transpose( params_tensor, (0, 2, 1) ) # (clients, params, time) - + print("-- params_tensor", params_tensor.shape) ground_truth = params_tensor[:, :, -1].copy() pred_step = 1 log(INFO, "Computing MAR on params_tensor %s", params_tensor.shape) @@ -245,14 +247,14 @@ def aggregate_fit( ) # noqa # TODO: remove this - good_clients_idx = [2,3,4] - malicious_clients_idx = [0,1] + #good_clients_idx = [2,3,4] + #malicious_clients_idx = [0,1] + ########################################## # Compute the average anomaly score for the good clients avg_anomaly_score_gc = np.mean(anomaly_scores[good_clients_idx]) print("avg anomaly score for good clients", avg_anomaly_score_gc) avg_anomaly_score_m = np.mean(anomaly_scores[malicious_clients_idx]) print("avg anomaly score for malicious clients", avg_anomaly_score_m) - ########################################## results = np.array(results)[good_clients_idx].tolist() log(INFO, "Good clients: %s", good_clients_idx) @@ -260,13 +262,13 @@ def aggregate_fit( with open("anomaly_scores.txt", "a") as f: f.write(f"{server_round},{avg_anomaly_score_gc},{avg_anomaly_score_m}\n") - log(INFO, "Applying FedAvg") + log(INFO, "Applying aggregate_fn") # Convert results weights_results = [ (parameters_to_ndarrays(fit_res.parameters), fit_res.num_examples) for _, fit_res in results ] - parameters_aggregated = ndarrays_to_parameters(self.aggregate_fn(weights_results)) + parameters_aggregated = ndarrays_to_parameters(self.aggregate_fn(weights_results, **self.aggregate_parameters)) # Aggregate custom metrics if aggregation fn was provided metrics_aggregated = {} @@ -285,7 +287,7 @@ def aggregate_fit( # pylint: disable=too-many-locals, too-many-arguments, invalid-name -def mar(X, pred_step, alpha=1, beta=1, maxiter=100, window=0): +def mar(X, pred_step, alpha=1, beta=1, maxiter=100): """Forecast the next tensor of params. Forecast the next tensor of params by using MAR algorithm. @@ -298,8 +300,6 @@ def mar(X, pred_step, alpha=1, beta=1, maxiter=100, window=0): """ m, n, T = X.shape start = 0 - if window > 0: - start = T - window A = np.random.randn(m, m) B = np.random.randn(n, n) From 02bdd422853ee0f220e38f0f2a72ee8c4b83f594 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Mon, 29 Jan 2024 19:34:40 +0100 Subject: [PATCH 57/91] Push last changes before experiments --- baselines/flanders/flanders/attacks.py | 2 +- .../flanders/conf/aggregate_fn/bulyan.yaml | 9 ++++ .../flanders/conf/aggregate_fn/dnc.yaml | 8 ++++ .../flanders/conf/aggregate_fn/fedmedian.yaml | 6 +++ .../flanders/conf/aggregate_fn/krum.yaml | 3 +- .../conf/aggregate_fn/trimmedmean.yaml | 7 +++ baselines/flanders/flanders/conf/base.yaml | 2 +- .../flanders/flanders/conf/strategy/dnc.yaml | 2 +- baselines/flanders/flanders/main.py | 19 ++++++-- baselines/flanders/flanders/models.py | 29 ------------- baselines/flanders/flanders/server.py | 43 ++++++++++++++++--- .../flanders/flanders/strategies/aggregate.py | 11 +++-- baselines/flanders/flanders/strategy.py | 41 +++++++++++++++--- baselines/flanders/flanders/utils.py | 22 +++++++++- baselines/flanders/run.sh | 3 ++ 15 files changed, 154 insertions(+), 53 deletions(-) create mode 100644 baselines/flanders/flanders/conf/aggregate_fn/bulyan.yaml create mode 100644 baselines/flanders/flanders/conf/aggregate_fn/dnc.yaml create mode 100644 baselines/flanders/flanders/conf/aggregate_fn/fedmedian.yaml create mode 100644 baselines/flanders/flanders/conf/aggregate_fn/trimmedmean.yaml create mode 100644 baselines/flanders/run.sh diff --git a/baselines/flanders/flanders/attacks.py b/baselines/flanders/flanders/attacks.py index 8fa92065cbe0..f039afc6ee1a 100644 --- a/baselines/flanders/flanders/attacks.py +++ b/baselines/flanders/flanders/attacks.py @@ -272,7 +272,7 @@ def minmax_attack( """ dataset_name = kwargs.get("dataset_name", None) threshold = kwargs.get("threshold", 1e-5) - lambda_init = kwargs.get("old_lambda", 5.0) + lambda_init = kwargs.get("lambda", 5.0) malicious_num = kwargs.get("malicious_num", 0) results = ordered_results.copy() diff --git a/baselines/flanders/flanders/conf/aggregate_fn/bulyan.yaml b/baselines/flanders/flanders/conf/aggregate_fn/bulyan.yaml new file mode 100644 index 000000000000..1361f158daf1 --- /dev/null +++ b/baselines/flanders/flanders/conf/aggregate_fn/bulyan.yaml @@ -0,0 +1,9 @@ +--- +name: bulyan + +aggregate_fn: + function: flwr.server.strategy.aggregate.aggregate_bulyan + parameters: + aggregation_name: aggregate_krum + aggregation_module_name: flwr.server.strategy.aggregate + to_keep: 0 # if 0, normal Krum is applied \ No newline at end of file diff --git a/baselines/flanders/flanders/conf/aggregate_fn/dnc.yaml b/baselines/flanders/flanders/conf/aggregate_fn/dnc.yaml new file mode 100644 index 000000000000..009539bb90b5 --- /dev/null +++ b/baselines/flanders/flanders/conf/aggregate_fn/dnc.yaml @@ -0,0 +1,8 @@ +--- +name: dnc + +aggregate_fn: + function: flanders.strategies.aggregate.aggregate_dnc + parameters: + niters: 1 + c: 1 \ No newline at end of file diff --git a/baselines/flanders/flanders/conf/aggregate_fn/fedmedian.yaml b/baselines/flanders/flanders/conf/aggregate_fn/fedmedian.yaml new file mode 100644 index 000000000000..7bf0a725ab6f --- /dev/null +++ b/baselines/flanders/flanders/conf/aggregate_fn/fedmedian.yaml @@ -0,0 +1,6 @@ +--- +name: fedmedian + +aggregate_fn: + function: flwr.server.strategy.aggregate.aggregate_median + parameters: {} \ No newline at end of file diff --git a/baselines/flanders/flanders/conf/aggregate_fn/krum.yaml b/baselines/flanders/flanders/conf/aggregate_fn/krum.yaml index ca6cfec3275a..220b93d92b3e 100644 --- a/baselines/flanders/flanders/conf/aggregate_fn/krum.yaml +++ b/baselines/flanders/flanders/conf/aggregate_fn/krum.yaml @@ -4,5 +4,4 @@ name: krum aggregate_fn: function: flwr.server.strategy.aggregate.aggregate_krum parameters: - to_keep: 2 - num_malicious: ${server.num_malicious} \ No newline at end of file + to_keep: 10 \ No newline at end of file diff --git a/baselines/flanders/flanders/conf/aggregate_fn/trimmedmean.yaml b/baselines/flanders/flanders/conf/aggregate_fn/trimmedmean.yaml new file mode 100644 index 000000000000..d2e418fa9738 --- /dev/null +++ b/baselines/flanders/flanders/conf/aggregate_fn/trimmedmean.yaml @@ -0,0 +1,7 @@ +--- +name: trimmedmean + +aggregate_fn: + function: flwr.server.strategy.aggregate.aggregate_trimmed_avg + parameters: + proportiontocut: 0.4 \ No newline at end of file diff --git a/baselines/flanders/flanders/conf/base.yaml b/baselines/flanders/flanders/conf/base.yaml index 6bdf781fad7e..cf263c7e8116 100644 --- a/baselines/flanders/flanders/conf/base.yaml +++ b/baselines/flanders/flanders/conf/base.yaml @@ -21,7 +21,7 @@ server: warmup_rounds: 30 sampling: 500 history_dir: clients_params - magnitude: 100 + magnitude: 10 threshold: 1e-05 attack_fn: gaussian num_malicious: 0 diff --git a/baselines/flanders/flanders/conf/strategy/dnc.yaml b/baselines/flanders/flanders/conf/strategy/dnc.yaml index 672f7ee599db..3f185193a9ec 100644 --- a/baselines/flanders/flanders/conf/strategy/dnc.yaml +++ b/baselines/flanders/flanders/conf/strategy/dnc.yaml @@ -3,6 +3,6 @@ name: dnc strategy: _target_: flanders.strategies.dnc.DnC - num_malicious_clients: 2 + num_malicious_clients: $(server.num_malicious) niters: 5 c: 1 \ No newline at end of file diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 8a8b05d0ecd6..7b228c604148 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -143,8 +143,13 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): function_path = cfg.aggregate_fn.aggregate_fn.function print(f"Using aggregation function: {function_path}") module_name, function_name = function_path.rsplit('.', 1) - module = importlib.import_module(module_name) + module = importlib.import_module(module_name, package=__package__) aggregation_fn = getattr(module, function_name) + print(f"module_name {module_name}") + print(f"function_name {function_name}") + print(f"module {module}") + print(f"Aggr function {aggregation_fn}") + print(f"Aggr parameters {cfg.aggregate_fn.aggregate_fn.parameters}") strategy = instantiate( cfg.strategy.strategy, @@ -154,7 +159,7 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): fraction_evaluate=0, min_fit_clients=cfg.server.pool_size, min_evaluate_clients=0, - num_clients_to_keep=cfg.strategy.strategy.num_clients_to_keep, + num_clients_to_keep=cfg.server.pool_size - num_malicious, aggregate_fn=aggregation_fn, aggregate_parameters=cfg.aggregate_fn.aggregate_fn.parameters, min_available_clients=cfg.server.pool_size, @@ -208,7 +213,6 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): # 5. Start Simulation history = fl.simulation.start_simulation( client_fn=client_fn, - client_resources=cfg.client_resources, num_clients=cfg.server.pool_size, server=EnhancedServer( warmup_rounds=cfg.server.warmup_rounds, @@ -232,6 +236,10 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): rounds, test_loss = zip(*history.losses_centralized) _, test_accuracy = zip(*history.metrics_centralized["accuracy"]) _, test_auc = zip(*history.metrics_centralized["auc"]) + _, tp = zip(*history.metrics_centralized["TP"]) + _, tn = zip(*history.metrics_centralized["TN"]) + _, fp = zip(*history.metrics_centralized["FP"]) + _, fn = zip(*history.metrics_centralized["FN"]) path_to_save = [os.path.join(save_path,"results.csv"), "outputs/all_results.csv"] @@ -242,10 +250,15 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): "loss": test_loss, "accuracy": test_accuracy, "auc": test_auc, + "TP": tp, + "TN": tn, + "FP": fp, + "FN": fn, "attack_fn": [attack_fn for _ in range(len(rounds))], "dataset_name": [dataset_name for _ in range(len(rounds))], "num_malicious": [num_malicious for _ in range(len(rounds))], "strategy": [cfg.strategy.name for _ in range(len(rounds))], + "aggregate_fn": [cfg.aggregate_fn.aggregate_fn.function for _ in range(len(rounds))], } ) if os.path.exists(file_name): diff --git a/baselines/flanders/flanders/models.py b/baselines/flanders/flanders/models.py index ef6cc392d7bb..0b642164aa81 100644 --- a/baselines/flanders/flanders/models.py +++ b/baselines/flanders/flanders/models.py @@ -90,35 +90,6 @@ def train_mnist(model, dataloader, epochs, device): f"Loss: {loss.item():.4f}" ) -#def train_mnist(model, dataloader, epochs, device): -# """Train the network on the training set.""" -# n_total_steps = len(dataloader) -# criterion = nn.CrossEntropyLoss() -# optimizer = torch.optim.Adam(model.parameters(), lr=0.001) -# for epoch in range(epochs): -# for i, (images, labels) in enumerate(dataloader): -# # origin shape: [100, 1, 28, 28] -# # resized: [100, 784] -# images = images.reshape(-1, 28 * 28).to(device) -# labels = labels.to(device) -# -# # Forward pass -# outputs = model(images) -# loss = criterion(outputs, labels) -# -# # Backward and optimize -# optimizer.zero_grad() -# loss.backward() -# optimizer.step() -# -# if (i + 1) % 100 == 0: -# print( -# f"Epoch [{epoch+1}/{epochs}], " -# f"Step [{i+1}/{n_total_steps}], " -# f"Loss: {loss.item():.4f}" -# ) - - # pylint: disable=too-many-locals def test_mnist(model, dataloader, device): """Validate the network on the entire test set.""" diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index 1abd69dbe1fe..0a0c77710b42 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -15,7 +15,7 @@ from flwr.server.server import Server, fit_clients from .strategy import Flanders -from .utils import flatten_params, save_params +from .utils import flatten_params, save_params, update_confusion_matrix FitResultsAndFailures = Tuple[ List[Tuple[ClientProxy, FitRes]], @@ -89,6 +89,10 @@ def __init__( self.to_keep = to_keep self.omniscent = omniscent self.malicious_lst: List = [] + self.confusion_matrix = {"TP": 0, "TN": 0, "FP": 0, "FN": 0} + self.clients_state = {} + self.good_clients_idx = [] + self.malicious_clients_idx = [] # pylint: disable=too-many-locals def fit(self, num_rounds, timeout): @@ -108,6 +112,10 @@ def fit(self, num_rounds, timeout): res[0], res[1], ) + res[1]["TP"] = 0 + res[1]["TN"] = 0 + res[1]["FP"] = 0 + res[1]["FN"] = 0 history.add_loss_centralized(server_round=0, loss=res[0]) history.add_metrics_centralized(server_round=0, metrics=res[1]) @@ -133,6 +141,22 @@ def fit(self, num_rounds, timeout): res_cen = self.strategy.evaluate(current_round, parameters=self.parameters) if res_cen is not None: loss_cen, metrics_cen = res_cen + # Update confusion matrix + self.confusion_matrix = update_confusion_matrix( + self.confusion_matrix, + self.clients_state, + self.malicious_clients_idx, + self.good_clients_idx, + ) + metrics_cen["TP"] = self.confusion_matrix["TP"] + metrics_cen["TN"] = self.confusion_matrix["TN"] + metrics_cen["FP"] = self.confusion_matrix["FP"] + metrics_cen["FN"] = self.confusion_matrix["FN"] + if current_round <= self.warmup_rounds: + metrics_cen["TP"] = 0 + metrics_cen["TN"] = 0 + metrics_cen["FP"] = 0 + metrics_cen["FN"] = 0 log( INFO, "fit progress: (%s, %s, %s, %s)", @@ -192,7 +216,7 @@ def fit_round( # Randomly decide which client is malicious size = self.num_malicious - if self.warmup_rounds > server_round: + if server_round <= self.warmup_rounds: size = 0 log(INFO, "Selecting %s malicious clients", size) self.malicious_lst = np.random.choice( @@ -312,11 +336,10 @@ def fit_round( results = ordered_results others = {} - # Aggregate training results - log(INFO, "fit_round - Aggregating training results") - aggregated_result = self.strategy.aggregate_fit(server_round, results, failures) - if isinstance(self.strategy, Flanders): + # Aggregate training results + log(INFO, "fit_round - Aggregating training results") + aggregated_result = self.strategy.aggregate_fit(server_round, results, failures, clients_state) ( parameters_aggregated, metrics_aggregated, @@ -350,6 +373,12 @@ def fit_round( rrl=False, ) else: + # Aggregate training results + log(INFO, "fit_round - Aggregating training results") + aggregated_result = self.strategy.aggregate_fit(server_round, results, failures) parameters_aggregated, metrics_aggregated = aggregated_result - return parameters_aggregated, metrics_aggregated, (results, failures) + self.clients_state = clients_state + self.good_clients_idx = good_clients_idx + self.malicious_clients_idx = malicious_clients_idx + return parameters_aggregated, metrics_aggregated, (results, failures) \ No newline at end of file diff --git a/baselines/flanders/flanders/strategies/aggregate.py b/baselines/flanders/flanders/strategies/aggregate.py index 0c1dbfa8f692..85b90b9bbfb9 100644 --- a/baselines/flanders/flanders/strategies/aggregate.py +++ b/baselines/flanders/flanders/strategies/aggregate.py @@ -4,10 +4,12 @@ import numpy as np from flwr.common import NDArray, NDArrays, parameters_to_ndarrays +from flwr.server.strategy.aggregate import aggregate, _compute_distances from ..utils import flatten_params -def aggregate_dnc(results: List[Tuple[NDArrays, int]], c: float, niters: int, num_clients, num_malicious) -> NDArrays: - flattened_params = [flatten_params(parameters_to_ndarrays(fitres.parameters)) for _, fitres in results] +def aggregate_dnc(results: List[Tuple[NDArrays, int]], c: float, niters: int, num_malicious: int) -> NDArrays: + num_clients = len(results) + flattened_params = [flatten_params(params) for params, _ in results] I_good = [] for _ in range(niters): @@ -30,4 +32,7 @@ def aggregate_dnc(results: List[Tuple[NDArrays, int]], c: float, niters: int, nu I_good.append(set(I.tolist())) I_final = list(set.intersection(*I_good)) - return np.array(results)[I_final].tolist() + # Keep only the good models indicated by I_final in results + res = [results[i] for i in I_final] + aggregated_params = aggregate(res) + return aggregated_params \ No newline at end of file diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index a6ed94de3713..70ea69005048 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -3,6 +3,7 @@ import typing from logging import INFO, WARNING from typing import Callable, Dict, List, Optional, Tuple, Union +import importlib import numpy as np from flwr.common import ( @@ -143,9 +144,7 @@ def __init__( self.params_indexes = None self.distance_function = distance_function self.aggregate_fn = aggregate_fn - print(f"aggregate_fn {aggregate_fn}") self.aggregate_parameters = aggregate_parameters - print(aggregate_parameters) @typing.no_type_check def configure_fit( @@ -185,6 +184,7 @@ def aggregate_fit( server_round: int, results: List[Tuple[ClientProxy, FitRes]], failures: List[Union[Tuple[ClientProxy, FitRes], BaseException]], + clients_state: Dict[str, bool], ) -> Tuple[Optional[Parameters], Dict[str, Scalar]]: """Apply MAR forecasting to exclude malicious clients from FedAvg. @@ -229,8 +229,8 @@ def aggregate_fit( beta=self.beta, ) - print("Ground truth: ", ground_truth) - print("Predicted matrix: ", predicted_matrix[:, :, 0]) + #print("Ground truth: ", ground_truth) + #print("Predicted matrix: ", predicted_matrix[:, :, 0]) log(INFO, "Computing anomaly scores") anomaly_scores = self.distance_function( @@ -268,7 +268,24 @@ def aggregate_fit( (parameters_to_ndarrays(fit_res.parameters), fit_res.num_examples) for _, fit_res in results ] - parameters_aggregated = ndarrays_to_parameters(self.aggregate_fn(weights_results, **self.aggregate_parameters)) + + # check that self.aggregate_fn has num_malicious parameter + if "num_malicious" in self.aggregate_fn.__code__.co_varnames: + # count the number of malicious clients in good_clients_idx by checking clients_state + num_malicious = sum([clients_state[str(cid)] for cid in good_clients_idx]) + print("Number of malicious clients in good_clients_idx after FLANDERS filtering", num_malicious) + self.aggregate_parameters["num_malicious"] = num_malicious + if "aggregation_rule" in self.aggregate_fn.__code__.co_varnames: + module = importlib.import_module(self.aggregate_parameters["aggregation_module_name"]) + function_name = self.aggregate_parameters["aggregation_name"] + self.aggregate_parameters["aggregation_rule"] = getattr(module, function_name) + # remove aggregation_module_name and aggregation_name from self.aggregate_parameters + aggregate_parameters = self.aggregate_parameters.copy() + del aggregate_parameters["aggregation_module_name"] + del aggregate_parameters["aggregation_name"] + parameters_aggregated = ndarrays_to_parameters(self.aggregate_fn(weights_results, **aggregate_parameters)) + else: + parameters_aggregated = ndarrays_to_parameters(self.aggregate_fn(weights_results, **self.aggregate_parameters)) # Aggregate custom metrics if aggregation fn was provided metrics_aggregated = {} @@ -285,6 +302,20 @@ def aggregate_fit( malicious_clients_idx, ) + def evaluate( + self, server_round: int, parameters: Parameters + ) -> Optional[Tuple[float, Dict[str, Scalar]]]: + """Evaluate model parameters using an evaluation function.""" + if self.evaluate_fn is None: + # No evaluation function provided + return None + parameters_ndarrays = parameters_to_ndarrays(parameters) + eval_res = self.evaluate_fn(server_round, parameters_ndarrays, {}) + if eval_res is None: + return None + loss, metrics = eval_res + return loss, metrics + # pylint: disable=too-many-locals, too-many-arguments, invalid-name def mar(X, pred_step, alpha=1, beta=1, maxiter=100): diff --git a/baselines/flanders/flanders/utils.py b/baselines/flanders/flanders/utils.py index 8603c07c7930..05ac944a191b 100644 --- a/baselines/flanders/flanders/utils.py +++ b/baselines/flanders/flanders/utils.py @@ -2,7 +2,7 @@ import os from threading import Lock -from typing import Callable, Dict, Optional, Tuple +from typing import Callable, Dict, Optional, Tuple, List import numpy as np import torch @@ -218,3 +218,23 @@ def house_evaluate(server_round: int, parameters: NDArrays, config: Dict[str, Sc ) # noqa return loss, {"Adj-R2": arsq, "MAPE": mape} + +def update_confusion_matrix(confusion_matrix: Dict[str, int], clients_states: Dict[str, bool], malicious_clients_idx: List, good_clients_idx: List): + """Update TN, FP, FN, TP of confusion matrix.""" + print("confusion_matrix", confusion_matrix) + print("clients_states", clients_states) + print("malicious_clients_idx", malicious_clients_idx) + print("good_clients_idx", good_clients_idx) + + for client_idx, client_state in clients_states.items(): + if int(client_idx) in malicious_clients_idx: + if client_state: + confusion_matrix["TP"] += 1 + else: + confusion_matrix["FN"] += 1 + elif int(client_idx) in good_clients_idx: + if client_state: + confusion_matrix["FP"] += 1 + else: + confusion_matrix["TN"] += 1 + return confusion_matrix \ No newline at end of file diff --git a/baselines/flanders/run.sh b/baselines/flanders/run.sh new file mode 100644 index 000000000000..5e9c54c85d7d --- /dev/null +++ b/baselines/flanders/run.sh @@ -0,0 +1,3 @@ +#!/bin/bash + +python -m flanders.main --multirun server.num_rounds=50 dataset=mnist,cifar strategy=flanders aggregate_fn=fedavg,trimmedmean,fedmedian,bulyan,dnc server.pool_size=100 server.num_malicious=2 server.attack_fn=gaussian,lie,fang,minmax server.warmup_rounds=2 &> flanders.log From f81db05181fd0d78522db8c12ab266df71beba5d Mon Sep 17 00:00:00 2001 From: edogab33 Date: Thu, 1 Feb 2024 20:25:01 +0100 Subject: [PATCH 58/91] Include baselines, fix bugs --- baselines/flanders/flanders/conf/base.yaml | 1 + .../flanders/conf/strategy/bulyan.yaml | 8 ++++ .../flanders/conf/strategy/fedmedian.yaml | 5 ++ .../flanders/conf/strategy/trimmedmean.yaml | 6 +++ baselines/flanders/flanders/main.py | 47 +++++++++++++++---- baselines/flanders/flanders/models.py | 38 --------------- baselines/flanders/flanders/server.py | 4 +- baselines/flanders/flanders/strategies/dnc.py | 7 ++- 8 files changed, 68 insertions(+), 48 deletions(-) create mode 100644 baselines/flanders/flanders/conf/strategy/bulyan.yaml create mode 100644 baselines/flanders/flanders/conf/strategy/fedmedian.yaml create mode 100644 baselines/flanders/flanders/conf/strategy/trimmedmean.yaml diff --git a/baselines/flanders/flanders/conf/base.yaml b/baselines/flanders/flanders/conf/base.yaml index cf263c7e8116..10b6a8fcc523 100644 --- a/baselines/flanders/flanders/conf/base.yaml +++ b/baselines/flanders/flanders/conf/base.yaml @@ -26,6 +26,7 @@ server: attack_fn: gaussian num_malicious: 0 omniscent: True + noniidness: 0.5 server_device: cpu seed: 33 diff --git a/baselines/flanders/flanders/conf/strategy/bulyan.yaml b/baselines/flanders/flanders/conf/strategy/bulyan.yaml new file mode 100644 index 000000000000..1692d5d4306c --- /dev/null +++ b/baselines/flanders/flanders/conf/strategy/bulyan.yaml @@ -0,0 +1,8 @@ +--- +name: bulyan + +strategy: + _target_: flwr.server.strategy.Bulyan + _recursive_: true + num_malicious_clients: $(server.num_malicious) + to_keep: 0 # Normal Krum is applied \ No newline at end of file diff --git a/baselines/flanders/flanders/conf/strategy/fedmedian.yaml b/baselines/flanders/flanders/conf/strategy/fedmedian.yaml new file mode 100644 index 000000000000..d79293f4ca23 --- /dev/null +++ b/baselines/flanders/flanders/conf/strategy/fedmedian.yaml @@ -0,0 +1,5 @@ +--- +name: fedmedian + +strategy: + _target_: flwr.server.strategy.FedMedian \ No newline at end of file diff --git a/baselines/flanders/flanders/conf/strategy/trimmedmean.yaml b/baselines/flanders/flanders/conf/strategy/trimmedmean.yaml new file mode 100644 index 000000000000..561755f82d35 --- /dev/null +++ b/baselines/flanders/flanders/conf/strategy/trimmedmean.yaml @@ -0,0 +1,6 @@ +--- +name: trimmedmean + +strategy: + _target_: flwr.server.strategy.FedTrimmedAvg + beta: 0.2 \ No newline at end of file diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 7b228c604148..82a64be9a155 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -87,7 +87,7 @@ def main(cfg: DictConfig) -> None: fed_dir = do_fl_partitioning( train_path, pool_size=cfg.server.pool_size, - alpha=0.5, + alpha=cfg.server.noniidness, num_classes=10, val_ratio=0.5, seed=1234, @@ -97,7 +97,7 @@ def main(cfg: DictConfig) -> None: fed_dir = do_fl_partitioning( train_path, pool_size=cfg.server.pool_size, - alpha=0.5, + alpha=cfg.server.noniidness, num_classes=10, val_ratio=0.5, seed=1234, @@ -141,15 +141,9 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): strategy = None if cfg.strategy.name == "flanders": function_path = cfg.aggregate_fn.aggregate_fn.function - print(f"Using aggregation function: {function_path}") module_name, function_name = function_path.rsplit('.', 1) module = importlib.import_module(module_name, package=__package__) aggregation_fn = getattr(module, function_name) - print(f"module_name {module_name}") - print(f"function_name {function_name}") - print(f"module {module}") - print(f"Aggr function {aggregation_fn}") - print(f"Aggr parameters {cfg.aggregate_fn.aggregate_fn.parameters}") strategy = instantiate( cfg.strategy.strategy, @@ -207,6 +201,43 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): min_evaluate_clients=0, min_available_clients=cfg.server.pool_size, ) + elif cfg.strategy.name == "bulyan": + # Get aggregation rule function + strategy = instantiate( + cfg.strategy.strategy, + evaluate_fn=clients[dataset_name][1], + on_fit_config_fn=fit_config, + fraction_fit=1, + fraction_evaluate=0, + min_fit_clients=cfg.server.pool_size, + min_evaluate_clients=0, + min_available_clients=cfg.server.pool_size, + num_malicious_clients=num_malicious, + to_keep=cfg.strategy.strategy.to_keep, + ) + elif cfg.strategy.name == "trimmedmean": + strategy = instantiate( + cfg.strategy.strategy, + evaluate_fn=clients[dataset_name][1], + on_fit_config_fn=fit_config, + fraction_fit=1, + fraction_evaluate=0, + min_fit_clients=cfg.server.pool_size, + min_evaluate_clients=0, + min_available_clients=cfg.server.pool_size, + beta=cfg.strategy.strategy.beta, + ) + elif cfg.strategy.name == "fedmedian": + strategy = instantiate( + cfg.strategy.strategy, + evaluate_fn=clients[dataset_name][1], + on_fit_config_fn=fit_config, + fraction_fit=1, + fraction_evaluate=0, + min_fit_clients=cfg.server.pool_size, + min_evaluate_clients=0, + min_available_clients=cfg.server.pool_size, + ) else: raise ValueError("Strategy not supported") diff --git a/baselines/flanders/flanders/models.py b/baselines/flanders/flanders/models.py index 0b642164aa81..a4aa367a9ebc 100644 --- a/baselines/flanders/flanders/models.py +++ b/baselines/flanders/flanders/models.py @@ -17,44 +17,6 @@ def roc_auc_multiclass(y_true, y_pred): return roc_auc_score(y_true, y_pred, multi_class="ovr") -# Source: -# github.com/bladesteam/blades/blob/master/src/blades/models/mnist/mlp.py -#class MnistNet(nn.Module): -# """Simple MLP for MNIST.""" -# -# def __init__(self): -# """Initialize the model.""" -# super().__init__() -# # number of hidden nodes in each layer (512) -# hidden_1 = 128 -# hidden_2 = 256 -# # linear layer (784 -> hidden_1) -# self.fc1 = nn.Linear(28 * 28, hidden_1) -# # linear layer (n_hidden -> hidden_2) -# self.fc2 = nn.Linear(hidden_1, hidden_2) -# # linear layer (n_hidden -> 10) -# self.fc3 = nn.Linear(hidden_2, 10) -# # dropout layer (p=0.2) -# # dropout prevents overfitting of data -# self.dropout = nn.Dropout(0.2) -# -# def forward(self, x): -# """Forward pass through the network.""" -# # flatten image input -# x = x.view(-1, 28 * 28) -# # add hidden layer, with relu activation function -# x = F.relu(self.fc1(x)) -# # add dropout layer -# x = self.dropout(x) -# # add hidden layer, with relu activation function -# x = F.relu(self.fc2(x)) -# # add dropout layer -# x = self.dropout(x) -# # add output layer -# x = self.fc3(x) -# x = F.log_softmax(x, dim=1) -# return x - class MnistNet(nn.Module): def __init__(self): super(MnistNet, self).__init__() diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index 0a0c77710b42..a005cd1b9738 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -335,7 +335,9 @@ def fit_round( else: results = ordered_results others = {} - + + good_clients_idx = [] + malicious_clients_idx = [] if isinstance(self.strategy, Flanders): # Aggregate training results log(INFO, "fit_round - Aggregating training results") diff --git a/baselines/flanders/flanders/strategies/dnc.py b/baselines/flanders/flanders/strategies/dnc.py index c22cd2d0b867..2d2993a9e088 100644 --- a/baselines/flanders/flanders/strategies/dnc.py +++ b/baselines/flanders/flanders/strategies/dnc.py @@ -9,6 +9,7 @@ NDArrays, Parameters, Scalar, + parameters_to_ndarrays ) from flwr.common.logger import log from flwr.server.client_proxy import ClientProxy @@ -122,7 +123,11 @@ def aggregate_fit( 5. Compute outlier score 6. Filter "bad" models """ - parameters_aggregated = aggregate_dnc(results, self.c, self.niters, len(results), self.num_malicious_clients) + weights_results = [ + (parameters_to_ndarrays(fit_res.parameters), fit_res.num_examples) + for _, fit_res in results + ] + parameters_aggregated = aggregate_dnc(weights_results, self.c, self.niters, len(results)) parameters_aggregated, metrics_aggregated = super().aggregate_fit(server_round, results, failures) # Aggregate custom metrics if aggregation fn was provided From e8aea9c1401444dfb7f8553ac88067da47994fab Mon Sep 17 00:00:00 2001 From: edogab33 Date: Mon, 5 Feb 2024 13:43:09 +0100 Subject: [PATCH 59/91] Fix minmax and fang --- baselines/flanders/flanders/attacks.py | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/baselines/flanders/flanders/attacks.py b/baselines/flanders/flanders/attacks.py index f039afc6ee1a..4fee4b721280 100644 --- a/baselines/flanders/flanders/attacks.py +++ b/baselines/flanders/flanders/attacks.py @@ -215,9 +215,9 @@ def fang_attack( while lamda > threshold and malicious_selected is False: lamda = lamda * 0.5 malicious_selected, corrupted_params = _fang_corrupt_and_select(all_params, w_re, states, num_corrupted, lamda) - #print(f"-- lambda: {lamda}") - #print(f"-- malicious_selected: {malicious_selected}") - #print(f"-- lamda > threshold: {lamda > threshold}") + print(f"-- lambda: {lamda}") + print(f"-- malicious_selected: {malicious_selected}") + print(f"-- lamda > threshold: {lamda > threshold}") # Set corrupted clients' updates to w_1 results = [ ( @@ -240,7 +240,7 @@ def fang_attack( def minmax_attack( ordered_results, states, - omniscent, + omniscent=True, **kwargs, ): """Apply Min-Max agnostic attack. @@ -321,7 +321,7 @@ def minmax_attack( # Set corrupted clients' updates to corrupted_params params_c = [ - corrupted_params if states[i] else params[i] for i in range(len(params)) + corrupted_params if states[str(i)] else params[i] for i in range(len(params)) ] distance_matrix = _compute_distances(params_c) @@ -481,8 +481,8 @@ def _fang_corrupt_and_select(all_models, global_model, states, num_corrupted, la # Check that krum selects a malicious client corrupted_params = _fang_corrupt_params(global_model, lamda) all_models_m = [ - (corrupted_params, num_examples) if states[str(i)] else all_models[i] - for i, (_, num_examples) in enumerate(all_models) + (corrupted_params, num_examples) if states[str(i)] else (model, num_examples) + for i, (model, num_examples) in enumerate(all_models) ] _, idx_best_model, _, _ = _krum(all_models_m, num_corrupted, 1) # Check if the best model is malicious From b09a684baeab363cbcfb7999e3894ec7b66f71a5 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Mon, 5 Feb 2024 13:43:56 +0100 Subject: [PATCH 60/91] Add CIFAR-100 and MobileNet --- baselines/flanders/flanders/client.py | 85 ++++++++- baselines/flanders/flanders/dataset.py | 18 ++ baselines/flanders/flanders/main.py | 22 ++- baselines/flanders/flanders/models.py | 233 +++++++++++++++++++++++- baselines/flanders/flanders/server.py | 7 +- baselines/flanders/flanders/strategy.py | 6 +- baselines/flanders/flanders/utils.py | 19 +- 7 files changed, 376 insertions(+), 14 deletions(-) diff --git a/baselines/flanders/flanders/client.py b/baselines/flanders/flanders/client.py index c28a70efc340..23345236693d 100644 --- a/baselines/flanders/flanders/client.py +++ b/baselines/flanders/flanders/client.py @@ -12,7 +12,7 @@ from sklearn.metrics import accuracy_score, log_loss from .dataset import get_dataloader, get_mnist, cifar10_transformation, mnist_transformation -from .models import CifarNet, MnistNet, test_cifar, test_mnist, train_cifar, train_mnist +from .models import CifarNet, MnistNet, test_cifar, test_mnist, train_cifar, train_mnist, MobileNet, train_mobilenet, test_mobilenet XY = Tuple[np.ndarray, np.ndarray] LogRegParams = Union[XY, Tuple[np.ndarray]] @@ -99,8 +99,15 @@ def __init__(self, cid, fed_dir_data): self.net = CifarNet() # Determine device - self.device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") + #self.device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") + if torch.cuda.is_available(): + self.device = torch.device("cuda:0") + elif torch.backends.mps.is_available(): + self.device = torch.device("mps") + else: + self.device = torch.device("cpu") # self.device = torch.device("mps") + print("Device: ", self.device) def get_parameters(self, config): """Get model parameters as a list of NumPy ndarrays.""" @@ -144,6 +151,70 @@ def evaluate(self, parameters, config): loss, accuracy = test_cifar(self.net, valloader, device=self.device) return float(loss), len(valloader.dataset), {"accuracy": float(accuracy)} + +class Cifar100Client(fl.client.NumPyClient): + """Implementation of CIFAR-100 image classification using PyTorch.""" + + def __init__(self, cid, fed_dir_data): + """Instantiate a client for the CIFAR-100 dataset.""" + self.cid = cid + self.fed_dir = Path(fed_dir_data) + self.properties = {"tensor_type": "numpy.ndarray"} + + # Instantiate model + self.net = MobileNet() + + # Determine device + if torch.cuda.is_available(): + self.device = torch.device("cuda:0") + elif torch.backends.mps.is_available(): + self.device = torch.device("mps") + else: + self.device = torch.device("cpu") + print("Device: ", self.device) + + def get_parameters(self, config): + """Get model parameters as a list of NumPy ndarrays.""" + return get_params(self.net) + + def fit(self, parameters, config): + """Set model parameters from a list of NumPy ndarrays.""" + set_params(self.net, parameters) + + # Load data for this client and get trainloader + num_workers = 1 + trainloader = get_dataloader( + self.fed_dir, + self.cid, + is_train=True, + batch_size=config["batch_size"], + workers=num_workers, + transform=cifar10_transformation, + ) + + self.net.to(self.device) + train_mobilenet(self.net, trainloader, epochs=config["epochs"], device=self.device) + + return ( + get_params(self.net), + len(trainloader.dataset), + {"cid": self.cid}, + ) + + def evaluate(self, parameters, config): + """Evaluate using local test dataset.""" + set_params(self.net, parameters) + + # Load data for this client and get trainloader + num_workers = len(ray.worker.get_resource_ids()["CPU"]) + valloader = get_dataloader( + self.fed_dir, self.cid, is_train=False, batch_size=50, workers=num_workers + ) + self.net.to(self.device) + loss, accuracy = test_mobilenet(self.net, valloader, device=self.device) + + return float(loss), len(valloader.dataset), {"accuracy": float(accuracy)} + class MnistClient(fl.client.NumPyClient): """Implementation of MNIST image classification using PyTorch.""" @@ -158,8 +229,14 @@ def __init__(self, cid, fed_dir_data): self.net = MnistNet() # Determine device - self.device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") - # self.device = torch.device("mps") + #self.device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") + if torch.cuda.is_available(): + self.device = torch.device("cuda:0") + elif torch.backends.mps.is_available(): + self.device = torch.device("mps") + else: + self.device = torch.device("cpu") + print("Device: ", self.device) def get_parameters(self, config): """Get model parameters as a list of NumPy ndarrays.""" diff --git a/baselines/flanders/flanders/dataset.py b/baselines/flanders/flanders/dataset.py index 3b0d863bf555..fc281eaf779e 100644 --- a/baselines/flanders/flanders/dataset.py +++ b/baselines/flanders/flanders/dataset.py @@ -226,6 +226,24 @@ def get_cifar_10(path_to_data="flanders/datasets_files/cifar_10/data"): # returns path where training data is and testset return training_data, test_set +def get_cifar_100(path_to_data="flanders/datasets_files/cifar_100/data"): + """Download CIFAR100 dataset.""" + # download dataset and load train set + train_set = datasets.CIFAR100(root=path_to_data, train=True, download=True) + + # fuse all data splits into a single "training.pt" + data_loc = Path(path_to_data) / "cifar-100-python" + training_data = data_loc / "training.pt" + print("Generating unified CIFAR100 dataset") + torch.save([train_set.data, np.array(train_set.targets)], training_data) + + test_set = datasets.CIFAR100( + root=path_to_data, train=False, transform=cifar10_transformation + ) + + # returns path where training data is and testset + return training_data, test_set + def get_mnist(path_to_data="flanders/datasets_files/mnist/data"): """Download MNIST dataset.""" # download dataset and load train set diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 82a64be9a155..01223b1558e5 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -19,10 +19,11 @@ from omegaconf import DictConfig, OmegaConf from .attacks import fang_attack, gaussian_attack, lie_attack, minmax_attack -from .client import CifarClient, HouseClient, IncomeClient, MnistClient +from .client import CifarClient, HouseClient, IncomeClient, MnistClient, Cifar100Client from .dataset import ( do_fl_partitioning, get_cifar_10, + get_cifar_100, get_mnist, get_partitioned_house, get_partitioned_income, @@ -35,6 +36,7 @@ l2_norm, cosine_distance, mnist_evaluate, + mobilenet_evaluate, ) @@ -71,6 +73,7 @@ def main(cfg: DictConfig) -> None: "cifar": (CifarClient, cifar_evaluate), "house": (HouseClient, house_evaluate), "income": (IncomeClient, income_evaluate), + "cifar100": (Cifar100Client, mobilenet_evaluate), } # Delete old client_params @@ -90,7 +93,7 @@ def main(cfg: DictConfig) -> None: alpha=cfg.server.noniidness, num_classes=10, val_ratio=0.5, - seed=1234, + seed=seed, ) elif dataset_name == "mnist": train_path, _ = get_mnist() @@ -100,7 +103,17 @@ def main(cfg: DictConfig) -> None: alpha=cfg.server.noniidness, num_classes=10, val_ratio=0.5, - seed=1234, + seed=seed, + ) + elif dataset_name == "cifar100": + train_path, _ = get_cifar_100() + fed_dir = do_fl_partitioning( + train_path, + pool_size=cfg.server.pool_size, + alpha=cfg.server.noniidness, + num_classes=100, + val_ratio=0.5, + seed=seed, ) elif dataset_name == "income": x_train, x_test, y_train, y_test = get_partitioned_income( @@ -116,7 +129,7 @@ def main(cfg: DictConfig) -> None: def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): client = clients[dataset_name][0] cid_idx = int(cid) - if dataset_name == "cifar" or dataset_name == "mnist": + if dataset_name in ["cifar", "mnist", "cifar100"]: return client(cid, fed_dir) elif dataset_name == "income": return client( @@ -245,6 +258,7 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): history = fl.simulation.start_simulation( client_fn=client_fn, num_clients=cfg.server.pool_size, + client_resources=cfg.client_resources, server=EnhancedServer( warmup_rounds=cfg.server.warmup_rounds, num_malicious=num_malicious, diff --git a/baselines/flanders/flanders/models.py b/baselines/flanders/flanders/models.py index a4aa367a9ebc..413d4ed56db2 100644 --- a/baselines/flanders/flanders/models.py +++ b/baselines/flanders/flanders/models.py @@ -92,7 +92,7 @@ def __init__(self) -> None: self.conv2 = nn.Conv2d(6, 16, 5) self.fc1 = nn.Linear(16 * 5 * 5, 120) self.fc2 = nn.Linear(120, 84) - self.fc3 = nn.Linear(84, 10) + self.fc3 = nn.Linear(84, 100) def forward(self, x: torch.Tensor) -> torch.Tensor: """Forward pass through the network.""" @@ -143,3 +143,234 @@ def test_cifar(net, testloader, device: str): auc = roc_auc_multiclass(y_true, y_pred) accuracy = correct / total return loss, accuracy, auc + + +# MobileNetV1 +# https://github.com/weiaicunzai/pytorch-cifar100/blob/master/models/mobilenet.py +class DepthSeperabelConv2d(nn.Module): + + def __init__(self, input_channels, output_channels, kernel_size, **kwargs): + super().__init__() + self.depthwise = nn.Sequential( + nn.Conv2d( + input_channels, + input_channels, + kernel_size, + groups=input_channels, + **kwargs), + nn.BatchNorm2d(input_channels), + nn.ReLU(inplace=True) + ) + + self.pointwise = nn.Sequential( + nn.Conv2d(input_channels, output_channels, 1), + nn.BatchNorm2d(output_channels), + nn.ReLU(inplace=True) + ) + + def forward(self, x): + x = self.depthwise(x) + x = self.pointwise(x) + + return x + + +class BasicConv2d(nn.Module): + + def __init__(self, input_channels, output_channels, kernel_size, **kwargs): + + super().__init__() + self.conv = nn.Conv2d( + input_channels, output_channels, kernel_size, **kwargs) + self.bn = nn.BatchNorm2d(output_channels) + self.relu = nn.ReLU(inplace=True) + + def forward(self, x): + x = self.conv(x) + x = self.bn(x) + x = self.relu(x) + + return x + + +class MobileNet(nn.Module): + + """ + Args: + width multipler: The role of the width multiplier α is to thin + a network uniformly at each layer. For a given + layer and width multiplier α, the number of + input channels M becomes αM and the number of + output channels N becomes αN. + """ + + def __init__(self, width_multiplier=1, class_num=100): + super().__init__() + + alpha = width_multiplier + self.stem = nn.Sequential( + BasicConv2d(3, int(32 * alpha), 3, padding=1, bias=False), + DepthSeperabelConv2d( + int(32 * alpha), + int(64 * alpha), + 3, + padding=1, + bias=False + ) + ) + + #downsample + self.conv1 = nn.Sequential( + DepthSeperabelConv2d( + int(64 * alpha), + int(128 * alpha), + 3, + stride=2, + padding=1, + bias=False + ), + DepthSeperabelConv2d( + int(128 * alpha), + int(128 * alpha), + 3, + padding=1, + bias=False + ) + ) + + #downsample + self.conv2 = nn.Sequential( + DepthSeperabelConv2d( + int(128 * alpha), + int(256 * alpha), + 3, + stride=2, + padding=1, + bias=False + ), + DepthSeperabelConv2d( + int(256 * alpha), + int(256 * alpha), + 3, + padding=1, + bias=False + ) + ) + + #downsample + self.conv3 = nn.Sequential( + DepthSeperabelConv2d( + int(256 * alpha), + int(512 * alpha), + 3, + stride=2, + padding=1, + bias=False + ), + + DepthSeperabelConv2d( + int(512 * alpha), + int(512 * alpha), + 3, + padding=1, + bias=False + ), + DepthSeperabelConv2d( + int(512 * alpha), + int(512 * alpha), + 3, + padding=1, + bias=False + ), + DepthSeperabelConv2d( + int(512 * alpha), + int(512 * alpha), + 3, + padding=1, + bias=False + ), + DepthSeperabelConv2d( + int(512 * alpha), + int(512 * alpha), + 3, + padding=1, + bias=False + ), + DepthSeperabelConv2d( + int(512 * alpha), + int(512 * alpha), + 3, + padding=1, + bias=False + ) + ) + + #downsample + self.conv4 = nn.Sequential( + DepthSeperabelConv2d( + int(512 * alpha), + int(1024 * alpha), + 3, + stride=2, + padding=1, + bias=False + ), + DepthSeperabelConv2d( + int(1024 * alpha), + int(1024 * alpha), + 3, + padding=1, + bias=False + ) + ) + + self.fc = nn.Linear(int(1024 * alpha), class_num) + self.avg = nn.AdaptiveAvgPool2d(1) + + def forward(self, x): + x = self.stem(x) + + x = self.conv1(x) + x = self.conv2(x) + x = self.conv3(x) + x = self.conv4(x) + + x = self.avg(x) + x = x.view(x.size(0), -1) + x = self.fc(x) + return x + +def train_mobilenet(net, trainloader, epochs, device: str): + """Train the network on the training set.""" + criterion = torch.nn.CrossEntropyLoss() + optimizer = torch.optim.SGD(net.parameters(), lr=0.01, momentum=0.9) + net.train() + for _ in range(epochs): + for images, labels in trainloader: + images, labels = images.to(device), labels.to(device) + optimizer.zero_grad() + loss = criterion(net(images), labels) + loss.backward() + optimizer.step() + +def test_mobilenet(net, testloader, device: str): + """Validate the network on the entire test set.""" + criterion = torch.nn.CrossEntropyLoss() + correct, total, loss = 0, 0, 0.0 + y_true, y_pred = [], [] + net.eval() + with torch.no_grad(): + for data in testloader: + images, labels = data[0].to(device), data[1].to(device) + outputs = net(images) + loss += criterion(outputs, labels).item() + _, predicted = torch.max(outputs.data, 1) + total += labels.size(0) + correct += (predicted == labels).sum().item() + y_true.append(labels.cpu().numpy()) + y_pred.append(predicted.cpu().numpy()) + y_true = list(itertools.chain(*y_true)) + y_pred = list(itertools.chain(*y_pred)) + auc = roc_auc_multiclass(y_true, y_pred) + accuracy = correct / total + return loss, accuracy, auc \ No newline at end of file diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index a005cd1b9738..e79c4345e0d3 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -223,7 +223,12 @@ def fit_round( [proxy.cid for proxy, _ in client_instructions], size=size, replace=False ) # TODO: remove this - #self.malicious_lst = ["0","1"] + #if (server_round > 9 and server_round < 20) or (server_round > 29 and server_round < 40) or #(server_round > 49 and server_round < 60): + # print("--- MALICIOUS ROUNDS ---") + # self.malicious_lst = ["0","1"] + #else: + # print("--- LEGIT ROUNDS ---") + # self.malicious_lst = [] #################### # Create dict clients_state to keep track of malicious clients diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index 70ea69005048..22f797c00da1 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -247,8 +247,10 @@ def aggregate_fit( ) # noqa # TODO: remove this - #good_clients_idx = [2,3,4] - #malicious_clients_idx = [0,1] + # alternate between 2 malicious and 0 malicious clients every 10 rounds + #if (server_round > 9 and server_round < 20) or (server_round > 29 and server_round < #40) or (server_round > 49 and server_round < 60): + # good_clients_idx = [2,3,4] + # malicious_clients_idx = [0,1] ########################################## # Compute the average anomaly score for the good clients avg_anomaly_score_gc = np.mean(anomaly_scores[good_clients_idx]) diff --git a/baselines/flanders/flanders/utils.py b/baselines/flanders/flanders/utils.py index 05ac944a191b..f2dc3489be6a 100644 --- a/baselines/flanders/flanders/utils.py +++ b/baselines/flanders/flanders/utils.py @@ -23,8 +23,8 @@ from torchvision.datasets import MNIST from .client import set_params, set_sklearn_model_params -from .dataset import get_cifar_10, get_partitioned_house, get_partitioned_income -from .models import CifarNet, MnistNet, test_cifar, test_mnist +from .dataset import get_cifar_10, get_partitioned_house, get_partitioned_income, get_cifar_100 +from .models import CifarNet, MnistNet, test_cifar, test_mnist, MobileNet, test_mobilenet lock = Lock() @@ -178,6 +178,21 @@ def cifar_evaluate(server_round: int, parameters: NDArrays, config: Dict[str, Sc # return statistics return loss, {"accuracy": accuracy, "auc": auc} +def mobilenet_evaluate(server_round: int, parameters: NDArrays, config: Dict[str, Scalar]): + """Evaluate MobileNet model on the test set.""" + device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") + + model = MobileNet() + set_params(model, parameters) + model.to(device) + + _, testset = get_cifar_100() + testloader = torch.utils.data.DataLoader(testset, batch_size=32) + loss, accuracy, auc = test_mobilenet(model, testloader, device=device) + + # return statistics + return loss, {"accuracy": accuracy, "auc": auc} + # pylint: disable=unused-argument def income_evaluate(server_round: int, parameters: NDArrays, config: Dict[str, Scalar]): From 5632c8e6a855ced2eb775f9765d64ff8ce5c3231 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Mon, 18 Mar 2024 18:41:48 +0100 Subject: [PATCH 61/91] Update code made for new version of the paper --- baselines/flanders/flanders/attacks.py | 34 +- baselines/flanders/flanders/client.py | 247 +- baselines/flanders/flanders/conf/base.yaml | 18 +- .../flanders/conf/strategy/flanders.yaml | 2 +- baselines/flanders/flanders/dataset.py | 176 +- .../flanders/datasets_files/adult.csv | 39073 ---------------- .../flanders/datasets_files/adult_server.csv | 9771 ---- .../datasets_files/houses_preprocessed.csv | 15740 ------- .../flanders/datasets_files/houses_server.csv | 3937 -- baselines/flanders/flanders/main.py | 103 +- baselines/flanders/flanders/models.py | 325 +- baselines/flanders/flanders/server.py | 45 +- .../flanders/flanders/strategies/aggregate.py | 2 - baselines/flanders/flanders/strategy.py | 39 +- baselines/flanders/flanders/utils.py | 132 +- 15 files changed, 195 insertions(+), 69449 deletions(-) delete mode 100644 baselines/flanders/flanders/datasets_files/adult.csv delete mode 100644 baselines/flanders/flanders/datasets_files/adult_server.csv delete mode 100644 baselines/flanders/flanders/datasets_files/houses_preprocessed.csv delete mode 100644 baselines/flanders/flanders/datasets_files/houses_server.csv diff --git a/baselines/flanders/flanders/attacks.py b/baselines/flanders/flanders/attacks.py index 4fee4b721280..18b93fc16242 100644 --- a/baselines/flanders/flanders/attacks.py +++ b/baselines/flanders/flanders/attacks.py @@ -41,7 +41,7 @@ def gaussian_attack(ordered_results, states, **kwargs): results = ordered_results.copy() def perturbate(vect): - return vect + np.random.normal(loc=0, scale=magnitude, size=len(vect)) + return vect + np.random.normal(loc=0, scale=magnitude, size=vect.size) for proxy, fitres in ordered_results: if states[fitres.metrics["cid"]]: @@ -51,7 +51,11 @@ def perturbate(vect): else: new_params = [] for par in params: - new_params.append(np.apply_along_axis(perturbate, 0, par)) + # if par is an array of one element, it is a scalar + if par.size == 1: + new_params.append(perturbate(par)) + else: + new_params.append(np.apply_along_axis(perturbate, 0, par)) fitres.parameters = ndarrays_to_parameters(new_params) results[int(fitres.metrics["cid"])] = (proxy, fitres) return results, {} @@ -96,8 +100,7 @@ def lie_attack( num_clients = len(ordered_results) num_malicious = sum(val is True for val in states.values()) - #print(f"states: {states}") - #print(f"num_malicious: {num_malicious} and num_clients: {num_clients}") + # pylint: disable=c-extension-no-member num_supporters = math.floor((num_clients / 2) + 1) - num_malicious @@ -194,30 +197,18 @@ def fang_attack( dist_wre = np.zeros((len(benign))) for i in range(len(benign)): dist = [benign[i][0][j] - w_re[j] for j in range(num_layers)] - #print(f"dist: {dist}") norm_sums = 0 for k in dist: norm_sums += np.linalg.norm(k) - #print(f"norm_sums: {norm_sums}") dist_wre[i] = norm_sums**2 - #print(f"dist_wre: {dist_wre}") max_dist = np.max(dist_wre) / np.sqrt(num_layers) - #print(f"max_dist: {max_dist}") - #print(f"min_dist: {min_dist}") - #print(f"num layers: {num_layers}") - #print(f"sqrt num layers: {np.sqrt(num_layers)}") lamda = min(min_dist + max_dist, 999) # lambda (capped to 999 to avoid numerical problems in specific settings) malicious_selected, corrupted_params = _fang_corrupt_and_select(all_params, w_re, states, num_corrupted, lamda) - #print(f"starting lambda: {lamda}") - #print(f"malicious_selected: {malicious_selected}") - #print(f"lamda > threshold: {lamda > threshold}") while lamda > threshold and malicious_selected is False: lamda = lamda * 0.5 malicious_selected, corrupted_params = _fang_corrupt_and_select(all_params, w_re, states, num_corrupted, lamda) - print(f"-- lambda: {lamda}") - print(f"-- malicious_selected: {malicious_selected}") - print(f"-- lamda > threshold: {lamda > threshold}") + # Set corrupted clients' updates to w_1 results = [ ( @@ -234,7 +225,7 @@ def fang_attack( for proxy, fitres in ordered_results ] - return results, {"lambda": lamda} + return results, {} def minmax_attack( @@ -395,7 +386,7 @@ def minmax_attack( if states[fitres.metrics["cid"]]: fitres.parameters = corrupted_params results[int(fitres.metrics["cid"])] = (proxy, fitres) - return results, {"lambda": curr_lambda} + return results, {} def _krum(results, num_malicious, to_keep, num_closest=None): @@ -405,7 +396,6 @@ def _krum(results, num_malicious, to_keep, num_closest=None): """ weights = [w for w, _ in results] # list of weights distance_matrix = _compute_distances(weights) # matrix of distances - #sprint(f"distance_matrix: {distance_matrix}") if not num_closest: num_closest = ( @@ -419,12 +409,11 @@ def _krum(results, num_malicious, to_keep, num_closest=None): closest_indices = _get_closest_indices( distance_matrix, num_closest ) # indices of closest points - #print(f"closest_indices: {closest_indices}") + scores = [ np.sum(distance_matrix[i, closest_indices[i]]) for i in range(len(distance_matrix)) ] # scores i->j for each i - #print(f"krum scores: {scores}") best_index = np.argmin(scores) # index of the best score best_indices = np.argsort(scores)[::-1][ @@ -485,6 +474,7 @@ def _fang_corrupt_and_select(all_models, global_model, states, num_corrupted, la for i, (model, num_examples) in enumerate(all_models) ] _, idx_best_model, _, _ = _krum(all_models_m, num_corrupted, 1) + # Check if the best model is malicious malicious_selected = states[str(idx_best_model)] return malicious_selected, corrupted_params diff --git a/baselines/flanders/flanders/client.py b/baselines/flanders/flanders/client.py index 23345236693d..fbddb2532ad9 100644 --- a/baselines/flanders/flanders/client.py +++ b/baselines/flanders/flanders/client.py @@ -1,22 +1,24 @@ """Clients implementation for Flanders.""" from collections import OrderedDict from pathlib import Path -from typing import Dict, Tuple, Union +from typing import Tuple import flwr as fl import numpy as np import ray import torch -from flwr.common.typing import Scalar -from sklearn.linear_model import ElasticNet, LogisticRegression -from sklearn.metrics import accuracy_score, log_loss -from .dataset import get_dataloader, get_mnist, cifar10_transformation, mnist_transformation -from .models import CifarNet, MnistNet, test_cifar, test_mnist, train_cifar, train_mnist, MobileNet, train_mobilenet, test_mobilenet +from .dataset import get_dataloader, mnist_transformation +from .models import ( + MnistNet, + test_mnist, + train_mnist, + test_fmnist, + train_fmnist, + FMnistNet +) XY = Tuple[np.ndarray, np.ndarray] -LogRegParams = Union[XY, Tuple[np.ndarray]] - def get_params(model): """Get model weights as a list of NumPy ndarrays.""" @@ -30,83 +32,26 @@ def set_params(model, params): model.load_state_dict(state_dict, strict=True) -def get_sklearn_model_params(model): - """Return the paramters of a sklearn LogisticRegression model.""" - if model.fit_intercept: - params = [ - model.coef_, - model.intercept_, - ] - else: - params = [ - model.coef_, - ] - return params - - -def set_sklearn_model_params(model, params): - """Set the parameters of a sklean LogisticRegression model.""" - model.coef_ = params[0] - if model.fit_intercept: - model.intercept_ = params[1] - return model - - -def set_initial_params_logistic_regr(model): - """Set initial parameters as zeros. - - Required since model params are uninitialized until model.fit is called. - - Server asks for initial parameters from clients at launch. Refer to - sklearn.linear_model.LogisticRegression documentation for more information. - """ - n_classes = 2 - n_features = 14 - model.classes_ = np.array(list(range(n_classes))) - - model.coef_ = np.zeros((n_classes, n_features)) - if model.fit_intercept: - model.intercept_ = np.zeros((n_classes,)) - return model - - -def set_initial_params_linear_regr(model): - """Set initial parameters as zeros. - - Required since model params are uninitialized until model.fit is called. - - Server asks for initial parameters from clients at launch. Refer to - sklearn.linear_model.LinearRegression documentation for more information. - """ - n_features = 18 - model.coef_ = np.zeros((n_features,)) - if model.fit_intercept: - model.intercept_ = np.zeros((1,)) - return model - - -# Adapted from Pytorch quickstart example -class CifarClient(fl.client.NumPyClient): - """Implementation of CIFAR-10 image classification using PyTorch.""" +class MnistClient(fl.client.NumPyClient): + """Implementation of MNIST image classification using PyTorch.""" def __init__(self, cid, fed_dir_data): - """Instantiate a client for the CIFAR-10 dataset.""" + """Instantiate a client for the MNIST dataset.""" self.cid = cid self.fed_dir = Path(fed_dir_data) self.properties = {"tensor_type": "numpy.ndarray"} # Instantiate model - self.net = CifarNet() + self.net = MnistNet() # Determine device - #self.device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") + #self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu") if torch.cuda.is_available(): - self.device = torch.device("cuda:0") + self.device = torch.device("cuda") elif torch.backends.mps.is_available(): self.device = torch.device("mps") else: self.device = torch.device("cpu") - # self.device = torch.device("mps") print("Device: ", self.device) def get_parameters(self, config): @@ -125,11 +70,11 @@ def fit(self, parameters, config): is_train=True, batch_size=config["batch_size"], workers=num_workers, - transform=cifar10_transformation, + transform=mnist_transformation, ) self.net.to(self.device) - train_cifar(self.net, trainloader, epochs=config["epochs"], device=self.device) + train_mnist(self.net, trainloader, epochs=config["epochs"], device=self.device) return ( get_params(self.net), @@ -144,79 +89,16 @@ def evaluate(self, parameters, config): # Load data for this client and get trainloader num_workers = len(ray.worker.get_resource_ids()["CPU"]) valloader = get_dataloader( - self.fed_dir, self.cid, is_train=False, batch_size=50, workers=num_workers, transform=cifar10_transformation + self.fed_dir, self.cid, is_train=False, batch_size=50, workers=num_workers, transform=mnist_transformation ) self.net.to(self.device) - loss, accuracy = test_cifar(self.net, valloader, device=self.device) + loss, accuracy = test_mnist(self.net, valloader, device=self.device) return float(loss), len(valloader.dataset), {"accuracy": float(accuracy)} -class Cifar100Client(fl.client.NumPyClient): - """Implementation of CIFAR-100 image classification using PyTorch.""" - - def __init__(self, cid, fed_dir_data): - """Instantiate a client for the CIFAR-100 dataset.""" - self.cid = cid - self.fed_dir = Path(fed_dir_data) - self.properties = {"tensor_type": "numpy.ndarray"} - - # Instantiate model - self.net = MobileNet() - - # Determine device - if torch.cuda.is_available(): - self.device = torch.device("cuda:0") - elif torch.backends.mps.is_available(): - self.device = torch.device("mps") - else: - self.device = torch.device("cpu") - print("Device: ", self.device) - - def get_parameters(self, config): - """Get model parameters as a list of NumPy ndarrays.""" - return get_params(self.net) - - def fit(self, parameters, config): - """Set model parameters from a list of NumPy ndarrays.""" - set_params(self.net, parameters) - - # Load data for this client and get trainloader - num_workers = 1 - trainloader = get_dataloader( - self.fed_dir, - self.cid, - is_train=True, - batch_size=config["batch_size"], - workers=num_workers, - transform=cifar10_transformation, - ) - - self.net.to(self.device) - train_mobilenet(self.net, trainloader, epochs=config["epochs"], device=self.device) - - return ( - get_params(self.net), - len(trainloader.dataset), - {"cid": self.cid}, - ) - def evaluate(self, parameters, config): - """Evaluate using local test dataset.""" - set_params(self.net, parameters) - - # Load data for this client and get trainloader - num_workers = len(ray.worker.get_resource_ids()["CPU"]) - valloader = get_dataloader( - self.fed_dir, self.cid, is_train=False, batch_size=50, workers=num_workers - ) - self.net.to(self.device) - loss, accuracy = test_mobilenet(self.net, valloader, device=self.device) - - return float(loss), len(valloader.dataset), {"accuracy": float(accuracy)} - - -class MnistClient(fl.client.NumPyClient): +class FMnistClient(fl.client.NumPyClient): """Implementation of MNIST image classification using PyTorch.""" def __init__(self, cid, fed_dir_data): @@ -226,12 +108,12 @@ def __init__(self, cid, fed_dir_data): self.properties = {"tensor_type": "numpy.ndarray"} # Instantiate model - self.net = MnistNet() + self.net = FMnistNet() # Determine device - #self.device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") + #self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu") if torch.cuda.is_available(): - self.device = torch.device("cuda:0") + self.device = torch.device("cuda") elif torch.backends.mps.is_available(): self.device = torch.device("mps") else: @@ -258,7 +140,7 @@ def fit(self, parameters, config): ) self.net.to(self.device) - train_mnist(self.net, trainloader, epochs=config["epochs"], device=self.device) + train_fmnist(self.net, trainloader, epochs=config["epochs"], device=self.device) return ( get_params(self.net), @@ -277,81 +159,6 @@ def evaluate(self, parameters, config): ) self.net.to(self.device) - loss, accuracy = test_mnist(self.net, valloader, device=self.device) - - return float(loss), len(valloader.dataset), {"accuracy": float(accuracy)} - -class IncomeClient(fl.client.NumPyClient): - """Implementation income classification using scikit-learn.""" - - # pylint: disable=too-many-arguments - def __init__(self, cid: str, x_train, y_train, x_test, y_test): - """Instantiate a client for the income dataset.""" - self.model = LogisticRegression( - penalty="l1", solver="liblinear", max_iter=1, warm_start=True - ) - set_initial_params_logistic_regr(self.model) - self.cid = cid - self.x_train = x_train - self.y_train = y_train - self.x_test = x_test - self.y_test = y_test - - def get_parameters(self, config: Dict[str, Scalar]): - """Get model parameters as a list of NumPy ndarrays.""" - return get_sklearn_model_params(self.model) + loss, accuracy = test_fmnist(self.net, valloader, device=self.device) - def fit(self, parameters, config): - """Set model parameters from a list of NumPy ndarrays.""" - # Set scikit logistic regression model parameters - self.model = set_sklearn_model_params(self.model, parameters) - self.model.fit(self.x_train, self.y_train) - new_parameters = get_sklearn_model_params(self.model) - return ( - new_parameters, - len(self.x_train), - {"cid": self.cid}, - ) - - def evaluate(self, parameters, config): - """Evaluate using local test dataset.""" - # Set scikit logistic regression model parameters - self.model = set_sklearn_model_params(self.model, parameters) - y_pred = self.model.predict(self.x_test) - accuracy = accuracy_score(y_pred, self.y_test) - loss = log_loss(self.y_test, self.model.predict_proba(self.x_test)) - return float(loss), len(self.x_test), {"accuracy": float(accuracy)} - - -class HouseClient(fl.client.NumPyClient): - """Implementation of house price prediction using scikit-learn.""" - - # pylint: disable=too-many-arguments - def __init__(self, cid: str, x_train, y_train, x_test, y_test): - """Instantiate a client for the house dataset.""" - self.model = ElasticNet(alpha=1, max_iter=1, warm_start=True) - set_initial_params_linear_regr(self.model) - self.cid = cid - self.x_train = x_train - self.y_train = y_train - self.x_test = x_test - self.y_test = y_test - - def get_parameters(self, config: Dict[str, Scalar]): - """Get model parameters as a list of NumPy ndarrays.""" - return get_sklearn_model_params(self.model) - - def fit(self, parameters, config): - """Set model parameters from a list of NumPy ndarrays.""" - self.model = set_sklearn_model_params(self.model, parameters) - self.model.fit(self.x_train, self.y_train) - new_parameters = get_sklearn_model_params(self.model) - return ( - new_parameters, - len(self.x_train), - {"cid": self.cid}, - ) - - def evaluate(self, parameters, config): - """Evaluate using local test dataset.""" - raise NotImplementedError("HouseClient.evaluate not implemented") + return float(loss), len(valloader.dataset), {"accuracy": float(accuracy)} \ No newline at end of file diff --git a/baselines/flanders/flanders/conf/base.yaml b/baselines/flanders/flanders/conf/base.yaml index 10b6a8fcc523..f3e1a0da06cd 100644 --- a/baselines/flanders/flanders/conf/base.yaml +++ b/baselines/flanders/flanders/conf/base.yaml @@ -1,12 +1,3 @@ ---- -# this is the config that will be loaded as default by main.py -# Please follow the provided structure (this will ensuring all baseline follow -# a similar configuration structure and hence be easy to customise) -#defaults: -# - _self_ -# - override hydra/hydra_logging: disabled -# - override hydra/job_logging: disabled - defaults: - _self_ - strategy: fedavg @@ -16,8 +7,8 @@ dataset: mnist server: _target_: flanders.server.EnhancedServer - num_rounds: 50 - pool_size: 10 + num_rounds: 100 + pool_size: 100 warmup_rounds: 30 sampling: 500 history_dir: clients_params @@ -32,6 +23,5 @@ server_device: cpu seed: 33 client_resources: - num_cpus: 10 - num_gpus: 0.0 - \ No newline at end of file + num_cpus: 1 + num_gpus: 0 \ No newline at end of file diff --git a/baselines/flanders/flanders/conf/strategy/flanders.yaml b/baselines/flanders/flanders/conf/strategy/flanders.yaml index 4c49f150f1c1..0222708dd836 100644 --- a/baselines/flanders/flanders/conf/strategy/flanders.yaml +++ b/baselines/flanders/flanders/conf/strategy/flanders.yaml @@ -4,7 +4,7 @@ name: flanders strategy: _target_: flanders.strategy.Flanders _recursive_: true - num_clients_to_keep: 3 # number of benign local models to filter-out before the aggregation + num_clients_to_keep: 3 # number of benign local models to filter-out before the aggregation (atm it's set to be pool_size - num_malicious, hard coded in main.py) maxiter: 100 # number of iterations done by MAR alpha: 1 beta: 1 \ No newline at end of file diff --git a/baselines/flanders/flanders/dataset.py b/baselines/flanders/flanders/dataset.py index fc281eaf779e..a8042a5177b9 100644 --- a/baselines/flanders/flanders/dataset.py +++ b/baselines/flanders/flanders/dataset.py @@ -7,12 +7,8 @@ from typing import Any, Callable, Optional, Tuple import numpy as np -import pandas as pd import torch from PIL import Image -from sklearn import preprocessing -from sklearn.model_selection import train_test_split -from sklearn.preprocessing import OrdinalEncoder from torch.utils.data import DataLoader, SubsetRandomSampler from torchvision import datasets, transforms from torchvision.datasets import VisionDataset @@ -135,16 +131,6 @@ def do_fl_partitioning( return splits_dir - -def cifar10_transformation(img): - """Return a torchvision.transforms object for CIFAR10 dataset.""" - return transforms.Compose( - [ - transforms.ToTensor(), - transforms.Normalize((0.4914, 0.4822, 0.4465), (0.2023, 0.1994, 0.2010)), - ] - )(img) - def mnist_transformation(img): """Return TorchVision transformation for MNIST.""" return transforms.Compose( @@ -207,117 +193,42 @@ def __len__(self) -> int: """Return length of dataset.""" return len(self.data) - -def get_cifar_10(path_to_data="flanders/datasets_files/cifar_10/data"): - """Download CIFAR10 dataset.""" - # download dataset and load train set - train_set = datasets.CIFAR10(root=path_to_data, train=True, download=True) - - # fuse all data splits into a single "training.pt" - data_loc = Path(path_to_data) / "cifar-10-batches-py" - training_data = data_loc / "training.pt" - print("Generating unified CIFAR dataset") - torch.save([train_set.data, np.array(train_set.targets)], training_data) - - test_set = datasets.CIFAR10( - root=path_to_data, train=False, transform=cifar10_transformation - ) - - # returns path where training data is and testset - return training_data, test_set - -def get_cifar_100(path_to_data="flanders/datasets_files/cifar_100/data"): - """Download CIFAR100 dataset.""" +def get_mnist(path_to_data="flanders/datasets_files/mnist/data"): + """Download MNIST dataset.""" # download dataset and load train set - train_set = datasets.CIFAR100(root=path_to_data, train=True, download=True) + train_set = datasets.MNIST(root=path_to_data, train=True, download=True) # fuse all data splits into a single "training.pt" - data_loc = Path(path_to_data) / "cifar-100-python" + data_loc = Path(path_to_data) / "MNIST" training_data = data_loc / "training.pt" - print("Generating unified CIFAR100 dataset") + print("Generating unified MNIST dataset") torch.save([train_set.data, np.array(train_set.targets)], training_data) - test_set = datasets.CIFAR100( - root=path_to_data, train=False, transform=cifar10_transformation + test_set = datasets.MNIST( + root=path_to_data, train=False, transform=mnist_transformation ) # returns path where training data is and testset return training_data, test_set -def get_mnist(path_to_data="flanders/datasets_files/mnist/data"): - """Download MNIST dataset.""" +def get_fmnist(path_to_data="flanders/datasets_files/fmnist/data"): + """Download FashionMNIST dataset.""" # download dataset and load train set - train_set = datasets.MNIST(root=path_to_data, train=True, download=True) + train_set = datasets.FashionMNIST(root=path_to_data, train=True, download=True) # fuse all data splits into a single "training.pt" - data_loc = Path(path_to_data) / "MNIST" + data_loc = Path(path_to_data) / "FashionMNIST" training_data = data_loc / "training.pt" - print("Generating unified MNIST dataset") + print("Generating unified FashionMNIST dataset") torch.save([train_set.data, np.array(train_set.targets)], training_data) - test_set = datasets.MNIST( + test_set = datasets.FashionMNIST( root=path_to_data, train=False, transform=mnist_transformation ) - # Print the first image's shape and data type - image, label = test_set[0] - print("Image Shape:", image.shape) - print("Image Data Type:", image.dtype) - # returns path where training data is and testset return training_data, test_set - -#def get_mnist( -# data_root: str, -# batch_size: int, -# cid: int, -# workers=1, -# nb_clients=10, -# is_train=True, -#): -# """Load both training and test datasets for MNIST. -# -# Parameters -# ---------- -# data_root: str -# Directory where MNIST dataset will be stored. -# train_batch_size: int -# Mini-batch size for training set. -# test_batch_size: int -# Mini-batch size for test set. -# cid: int -# Client ID used to select a specific partition. -# nb_clients: int -# Total number of clients launched during training. -# This value dictates the number of unique to be created. -# -# Returns -# ------- -# (train_loader, test_loader): Tuple[DataLoader, DataLoader] -# Tuple contaning DataLoaders for training and test sets. -# """ -# transform = transforms.Compose( -# [transforms.ToTensor(), transforms.Normalize((0.1307,), (0.3081,))] -# ) -# if is_train: -# dataset = datasets.MNIST( -# data_root, train=True, download=True, transform=transform -# ) -# else: -# dataset = datasets.MNIST(data_root, train=False, transform=transform) -# -# loader = dataset_partitioner( -# dataset=dataset, -# batch_size=batch_size, -# client_id=cid, -# number_of_clients=nb_clients, -# workers=workers, -# ) -# -# return loader - - def dataset_partitioner( dataset: torch.utils.data.Dataset, batch_size: int, @@ -366,64 +277,3 @@ def dataset_partitioner( num_workers=workers, ) return data_loader - - -def get_partitioned_income(path: str, pool_size: int, train_size=0.8, test_size=0.2): - """Return partitioned income dataset.""" - data = pd.read_csv(path) - copy = data - encoder = OrdinalEncoder() - encoded_values = encoder.fit_transform(data) - data = pd.DataFrame(data=encoded_values, columns=copy.columns) - Y = data["income"] - data = data.loc[:, data.columns != "income"] - - x_train, x_test, y_train, y_test = [], [], [], [] - train_size = int((len(data) * train_size) // pool_size) + 2 - test_size = int((len(data) * test_size) // pool_size) - 2 - for i in range(pool_size): - xtrain, xtest, ytrain, ytest = train_test_split( - data, - Y, - train_size=train_size, - test_size=test_size, - random_state=i, - shuffle=True, - stratify=Y, - ) - x_train.append(xtrain) - x_test.append(xtest) - y_train.append(ytrain) - y_test.append(ytest) - - return x_train, x_test, y_train, y_test - - -def get_partitioned_house(path: str, pool_size: int, train_size=0.8, test_size=0.2): - """Return partitioned house dataset.""" - data = pd.read_csv(path) - Y = data["median_house_value"].values - data = data.drop(["median_house_value"], axis=1).values - - x_train, x_test, y_train, y_test = [], [], [], [] - train_size = int((len(data) * train_size) // pool_size) + 2 - test_size = int((len(data) * test_size) // pool_size) - 2 - for i in range(pool_size): - xtrain, xtest, ytrain, ytest = train_test_split( - data, - Y, - train_size=train_size, - test_size=test_size, - random_state=i, - shuffle=True, - ) - transf = preprocessing.RobustScaler() - xtrain = transf.fit_transform(xtrain) - xtest = transf.fit_transform(xtest) - - x_train.append(xtrain) - x_test.append(xtest) - y_train.append(ytrain) - y_test.append(ytest) - - return x_train, x_test, y_train, y_test diff --git a/baselines/flanders/flanders/datasets_files/adult.csv b/baselines/flanders/flanders/datasets_files/adult.csv deleted file mode 100644 index 9b3807b60977..000000000000 --- a/baselines/flanders/flanders/datasets_files/adult.csv +++ /dev/null @@ -1,39073 +0,0 @@ -age,workclass,fnlwgt,education,educational-num,marital-status,occupation,relationship,race,gender,capital-gain,capital-loss,hours-per-week,native-country,income -25,Private,226802,11th,7,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -38,Private,89814,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -28,Local-gov,336951,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -44,Private,160323,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,7688,0,40,United-States,>50K -18,?,103497,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -34,Private,198693,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -29,?,227026,HS-grad,9,Never-married,?,Unmarried,Black,Male,0,0,40,United-States,<=50K -63,Self-emp-not-inc,104626,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,32,United-States,>50K -24,Private,369667,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -55,Private,104996,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,10,United-States,<=50K -65,Private,184454,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,6418,0,40,United-States,>50K -36,Federal-gov,212465,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,82091,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,39,United-States,<=50K -58,?,299831,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K -48,Private,279724,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,48,United-States,>50K -43,Private,346189,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -20,State-gov,444554,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -43,Private,128354,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K -37,Private,60548,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,20,United-States,<=50K -40,Private,85019,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,45,?,>50K -34,Private,107914,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,47,United-States,>50K -34,Private,238588,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,35,United-States,<=50K -72,?,132015,7th-8th,4,Divorced,?,Not-in-family,White,Female,0,0,6,United-States,<=50K -25,Private,220931,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,43,Peru,<=50K -25,Private,205947,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,432824,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,90,United-States,>50K -22,Private,236427,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -23,Private,134446,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Male,0,0,54,United-States,<=50K -54,Private,99516,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -32,Self-emp-not-inc,109282,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -46,State-gov,106444,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,7688,0,38,United-States,>50K -56,Self-emp-not-inc,186651,11th,7,Widowed,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K -24,Self-emp-not-inc,188274,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -23,Local-gov,258120,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,43311,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -65,?,191846,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -36,Local-gov,403681,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -22,Private,248446,5th-6th,3,Never-married,Priv-house-serv,Not-in-family,White,Male,0,0,50,Guatemala,<=50K -17,Private,269430,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,257509,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -65,Private,136384,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -44,Self-emp-inc,120277,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -36,Private,465326,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,103634,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -20,State-gov,138371,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,32,United-States,<=50K -28,Private,242832,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,>50K -39,Private,290208,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -54,Private,186272,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,3908,0,50,United-States,<=50K -52,Private,201062,11th,7,Separated,Priv-house-serv,Not-in-family,Black,Female,0,0,18,United-States,<=50K -56,Self-emp-inc,131916,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -18,Private,54440,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -39,Private,280215,HS-grad,9,Divorced,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -21,Private,214399,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,1721,24,United-States,<=50K -22,Private,54164,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,14084,0,60,United-States,>50K -38,Private,219446,9th,5,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,54,Mexico,<=50K -21,Private,110677,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -63,Private,145985,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Local-gov,382078,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,50,United-States,>50K -42,Self-emp-inc,170721,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,50,United-States,>50K -33,Private,269705,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,101135,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -39,Private,118429,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,31208,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,281384,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -47,Local-gov,171807,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,109912,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,40,?,<=50K -41,Self-emp-inc,445382,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,60,United-States,>50K -19,Private,105460,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -46,Private,170338,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,102606,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -55,Private,323887,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -46,Private,175622,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,229636,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -21,Private,388946,Some-college,10,Separated,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,269034,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Dominican-Republic,<=50K -17,?,165361,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,75012,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -69,Self-emp-inc,174379,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -50,Private,312477,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,72055,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Self-emp-inc,67001,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,213734,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,83141,Some-college,10,Separated,Other-service,Not-in-family,White,Male,0,1876,40,United-States,<=50K -44,Self-emp-inc,223881,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,50,?,>50K -31,Self-emp-not-inc,113752,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,170482,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,44,United-States,<=50K -20,Federal-gov,244689,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -55,Private,160631,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,56,United-States,>50K -24,Federal-gov,228724,Some-college,10,Never-married,Armed-Forces,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,?,38434,Masters,14,Married-civ-spouse,?,Wife,White,Female,7688,0,10,United-States,>50K -59,Private,292946,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,25,United-States,<=50K -49,Federal-gov,77443,7th-8th,4,Never-married,Other-service,Not-in-family,Black,Male,0,0,20,United-States,<=50K -33,Private,176410,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,5178,0,10,United-States,>50K -59,Federal-gov,98984,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,198751,Masters,14,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -20,Private,479296,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,235218,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -49,Private,164877,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,272087,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -20,Private,169699,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,?,189762,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,18,United-States,<=50K -33,Private,202191,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K -22,Private,212261,Some-college,10,Never-married,Transport-moving,Own-child,Black,Male,0,0,39,United-States,<=50K -58,Self-emp-not-inc,301568,9th,5,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Local-gov,155233,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,28,United-States,<=50K -36,Private,75826,10th,6,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Local-gov,201520,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,154236,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,2597,0,40,United-States,<=50K -19,Private,289227,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,16,United-States,<=50K -18,Private,217439,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K -18,Private,179020,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,48,United-States,<=50K -28,Private,149624,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,337266,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -20,?,30796,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -40,Private,103541,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,206721,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -46,Private,96773,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,200967,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -44,Private,180019,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,179866,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,>50K -31,Local-gov,198770,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,<=50K -18,Private,219256,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -19,Private,248730,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,30,United-States,<=50K -41,Private,110732,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,181020,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -69,Private,183791,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -48,Federal-gov,42972,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -28,Private,134813,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -27,Self-emp-not-inc,115438,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,Ireland,>50K -41,Private,239296,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,50,United-States,>50K -41,Private,428420,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,247846,HS-grad,9,Never-married,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K -20,?,334105,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Self-emp-inc,100793,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,41,United-States,>50K -57,Private,244478,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,48,United-States,<=50K -30,Private,142921,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,182863,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -49,Private,171128,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -33,Private,145402,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,35,United-States,<=50K -23,Private,306309,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,83822,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,262118,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,22,Germany,<=50K -40,Private,155972,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,United-States,>50K -43,Self-emp-inc,214503,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,45,United-States,>50K -34,Private,159303,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K -47,Self-emp-not-inc,174995,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K -44,Private,26669,Assoc-voc,11,Widowed,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K -33,Private,177727,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -55,Private,124771,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -19,Private,456736,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,2907,0,30,United-States,<=50K -28,Private,216604,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,14,United-States,<=50K -27,Private,221561,11th,7,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,32,United-States,<=50K -50,Private,114564,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,20,United-States,<=50K -22,Private,315476,11th,7,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -40,State-gov,67874,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1887,45,United-States,>50K -25,Private,126110,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -26,Local-gov,102264,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,537222,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K -42,Private,113732,Some-college,10,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,625,40,United-States,<=50K -38,Self-emp-inc,93225,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Private,43064,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -32,Private,136921,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,388885,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -29,Private,142249,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -46,State-gov,56841,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -31,Private,156493,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -58,Self-emp-not-inc,159021,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,16,United-States,>50K -42,Private,190910,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -18,Private,41879,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,25,United-States,<=50K -58,Local-gov,137249,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,33,United-States,<=50K -54,Private,236157,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -34,Private,189759,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,239877,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,Private,21175,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -48,Local-gov,67229,Masters,14,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,Private,236391,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -24,Private,325596,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -40,Private,83411,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,37,United-States,<=50K -33,Self-emp-inc,154227,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -37,Private,248010,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K -34,Private,198613,Masters,14,Never-married,Exec-managerial,Own-child,White,Male,4650,0,40,United-States,<=50K -56,Self-emp-inc,321529,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -28,?,168524,HS-grad,9,Married-civ-spouse,?,Own-child,White,Female,0,0,38,United-States,>50K -37,Private,203079,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -44,Private,284652,HS-grad,9,Divorced,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -64,?,201368,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -54,Private,59840,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K -23,Private,52753,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -34,State-gov,513100,Bachelors,13,Married-spouse-absent,Farming-fishing,Not-in-family,Black,Male,0,0,40,?,<=50K -22,Private,199266,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K -33,Private,196385,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K -39,Private,163205,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -47,Private,411047,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K -79,?,48574,7th-8th,4,Widowed,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,209440,HS-grad,9,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,55,United-States,<=50K -31,Private,56964,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,299197,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -42,Self-emp-inc,240628,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -19,Private,355313,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,132267,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -51,Local-gov,174861,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -28,Self-emp-inc,142443,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -57,Private,26716,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -45,Local-gov,185588,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Private,175029,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -34,Self-emp-inc,34848,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,54,United-States,<=50K -45,Private,411273,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -73,Local-gov,143437,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -34,Private,357145,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -31,Private,236861,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -19,Private,53355,11th,7,Never-married,Sales,Not-in-family,White,Male,0,0,12,United-States,<=50K -25,Private,29106,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,50,United-States,<=50K -38,Federal-gov,213274,Assoc-voc,11,Divorced,Craft-repair,Unmarried,White,Female,6497,0,40,United-States,<=50K -39,Private,22463,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,180497,Bachelors,13,Never-married,Tech-support,Own-child,Black,Female,0,0,32,United-States,<=50K -49,Private,37306,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,Federal-gov,137814,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K -21,Private,447488,5th-6th,3,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,38,Mexico,<=50K -31,Private,220915,Assoc-voc,11,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,42251,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -34,Private,162312,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -25,Private,77698,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -39,Private,282951,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -52,Self-emp-inc,311259,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -63,Local-gov,65479,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,40,United-States,>50K -41,Private,277256,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,312088,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,38,United-States,>50K -53,Local-gov,169719,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -25,?,270276,9th,5,Separated,?,Not-in-family,White,Female,1055,0,40,United-States,<=50K -77,?,172744,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K -18,Private,96869,12th,8,Never-married,Priv-house-serv,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,237943,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -55,Private,119751,Masters,14,Never-married,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,50,Thailand,<=50K -34,Private,236861,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -80,Self-emp-not-inc,201092,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -34,Private,147215,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,60,United-States,<=50K -52,Private,152373,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,5013,0,40,United-States,<=50K -42,Private,227968,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,28,Haiti,<=50K -26,Private,362617,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,103435,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -25,Local-gov,281412,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -55,Self-emp-not-inc,105239,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2057,60,United-States,<=50K -19,Private,230165,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -62,Self-emp-not-inc,177493,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,32,United-States,<=50K -22,Federal-gov,104443,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -39,?,110342,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,50,United-States,<=50K -35,Private,143385,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,107189,HS-grad,9,Married-civ-spouse,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -47,Private,212944,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K -44,State-gov,138634,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,99970,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -35,Private,203717,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -24,Private,313956,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -42,Federal-gov,177937,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,?,<=50K -28,Private,193868,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,50,United-States,<=50K -21,Private,250939,Some-college,10,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,35,United-States,<=50K -62,Federal-gov,57629,Some-college,10,Divorced,Tech-support,Not-in-family,Black,Male,4650,0,40,United-States,<=50K -39,Private,281768,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -30,State-gov,260782,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -72,Self-emp-not-inc,243769,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,1429,20,United-States,<=50K -50,Private,109937,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K -28,Local-gov,134890,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,100293,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,132179,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,116372,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,255412,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3103,0,40,United-States,>50K -61,?,195789,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,342400,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K -21,?,65481,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -31,Private,169085,11th,7,Married-civ-spouse,Sales,Wife,White,Female,0,0,20,United-States,<=50K -25,Private,177221,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,<=50K -58,Private,65325,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -64,Private,118944,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -46,State-gov,149337,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,38,United-States,<=50K -53,?,237868,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,>50K -19,Private,106183,HS-grad,9,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K -42,Private,226388,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Male,0,0,52,United-States,<=50K -18,Private,220754,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K -58,Self-emp-inc,204021,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,50,United-States,>50K -20,Private,347391,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,60,United-States,<=50K -35,Federal-gov,413930,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -32,Private,174201,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,>50K -23,Private,145917,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,25,United-States,<=50K -31,Private,241797,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,265168,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,55,United-States,<=50K -41,Private,171234,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,48,United-States,<=50K -22,Private,178452,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -46,Private,157857,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -61,Federal-gov,512864,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -30,Private,296462,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -42,Private,171615,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -63,Private,214071,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,172421,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,195488,10th,6,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,316841,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,236267,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,1590,40,United-States,<=50K -30,Private,236543,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,32,El-Salvador,>50K -23,Private,318483,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,163756,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,27828,0,60,United-States,>50K -30,Private,238186,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Other-relative,White,Male,0,2057,48,United-States,<=50K -39,Private,329980,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -30,Private,169269,11th,7,Never-married,Handlers-cleaners,Other-relative,White,Male,0,1721,38,Puerto-Rico,<=50K -38,Local-gov,34744,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -26,Private,98114,HS-grad,9,Divorced,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -20,Private,109667,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K -37,Local-gov,263690,Bachelors,13,Never-married,Prof-specialty,Unmarried,Black,Male,0,0,40,?,<=50K -33,Private,147430,HS-grad,9,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,224238,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -42,Self-emp-inc,212894,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -51,Self-emp-not-inc,136708,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,3103,0,84,Vietnam,<=50K -56,Local-gov,38573,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -22,Private,197200,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -52,Self-emp-not-inc,182796,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -44,Private,184527,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,4934,0,45,United-States,>50K -34,Private,145231,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,4064,0,35,United-States,<=50K -51,Private,43354,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,>50K -20,?,318865,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,355712,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -37,Private,98776,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -68,Private,257557,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K -22,Private,102258,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Self-emp-inc,170287,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,243409,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,55608,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -26,Private,248057,HS-grad,9,Separated,Handlers-cleaners,Own-child,White,Male,0,0,40,Puerto-Rico,<=50K -33,Private,95530,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -45,Local-gov,54038,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,42,United-States,<=50K -18,Private,161245,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -43,Self-emp-not-inc,388725,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -64,Self-emp-not-inc,71807,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,?,>50K -18,Private,228216,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -20,?,303121,Some-college,10,Never-married,?,Own-child,White,Male,0,0,45,United-States,<=50K -57,Private,78020,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -41,Private,249254,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,3674,0,42,United-States,<=50K -34,Private,87218,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K -19,Private,304299,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,196234,9th,5,Divorced,Other-service,Unmarried,White,Female,0,0,55,Dominican-Republic,<=50K -56,Private,197875,10th,6,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Self-emp-inc,48063,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -48,Private,253596,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,48,United-States,<=50K -29,Private,39257,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -33,Private,56150,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,2174,0,40,United-States,<=50K -31,Private,179415,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -39,Private,252445,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -66,Private,275918,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,10605,0,40,United-States,>50K -27,Private,106562,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -39,Private,198654,HS-grad,9,Divorced,Exec-managerial,Unmarried,Black,Female,99999,0,40,United-States,>50K -59,Private,107318,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,50,United-States,>50K -26,Private,181896,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -31,Private,106014,Assoc-voc,11,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -45,?,319993,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,40,Mexico,<=50K -23,Private,197997,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -36,Local-gov,173542,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,207564,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,12,United-States,>50K -32,Private,224462,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,84,United-States,>50K -37,Private,123361,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,50,United-States,>50K -33,Private,90409,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -50,Self-emp-not-inc,165001,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,80,United-States,>50K -32,Federal-gov,149573,Assoc-acdm,12,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K -35,Private,249456,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -37,Private,149898,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,292985,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -57,Private,50223,Some-college,10,Divorced,Handlers-cleaners,Other-relative,White,Male,0,0,25,United-States,<=50K -29,Local-gov,400074,Some-college,10,Married-civ-spouse,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -55,Private,197399,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -43,Self-emp-inc,209547,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,>50K -43,Private,52433,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K -45,Self-emp-not-inc,355978,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -33,Self-emp-not-inc,48214,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,8,United-States,<=50K -26,Private,190873,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,40,Germany,<=50K -23,Private,278390,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,68,United-States,<=50K -41,Private,203217,7th-8th,4,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -24,Private,279175,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,194590,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K -34,Self-emp-not-inc,198813,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K -40,Private,187294,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,302903,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,1485,40,United-States,<=50K -24,Private,154835,HS-grad,9,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Female,0,0,40,South,<=50K -73,?,73402,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -23,Private,100345,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,15,United-States,<=50K -43,Self-emp-not-inc,126320,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -26,Private,142226,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Self-emp-not-inc,112076,Doctorate,16,Married-AF-spouse,Exec-managerial,Wife,White,Female,0,1485,35,United-States,>50K -52,Private,225339,HS-grad,9,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K -29,Private,211208,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,>50K -47,Private,200808,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,Columbia,<=50K -49,Private,220618,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,37,United-States,<=50K -40,Private,210493,11th,7,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -62,Self-emp-not-inc,369734,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -49,Private,27898,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,55,United-States,>50K -50,Private,138193,Bachelors,13,Divorced,Prof-specialty,Other-relative,White,Female,0,0,50,United-States,>50K -31,Private,224234,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -48,Local-gov,188741,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -24,Private,183772,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -41,?,155041,HS-grad,9,Never-married,?,Own-child,White,Female,3418,0,40,United-States,<=50K -37,Private,79586,HS-grad,9,Separated,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,60,United-States,<=50K -45,Private,355781,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,45,Japan,>50K -63,?,156158,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K -36,Private,116358,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,45,India,<=50K -45,Private,59287,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,138868,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,185885,Assoc-acdm,12,Never-married,Tech-support,Other-relative,White,Female,0,0,20,United-States,<=50K -17,Private,40299,11th,7,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -27,Private,500068,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,36,?,<=50K -43,Private,51494,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,65,United-States,<=50K -35,Private,179481,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,55,United-States,<=50K -38,Private,365907,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,284343,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,204862,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -38,Private,272476,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,24,United-States,>50K -36,Private,175130,11th,7,Divorced,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,118941,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -19,Private,164339,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,1055,0,70,United-States,<=50K -22,?,213291,Assoc-acdm,12,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -42,Federal-gov,55457,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K -50,Private,280292,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -30,Private,446894,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,United-States,<=50K -37,State-gov,67083,Some-college,10,Married-civ-spouse,Prof-specialty,Other-relative,Asian-Pac-Islander,Male,0,0,40,Cambodia,<=50K -54,Self-emp-inc,159219,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K -52,Self-emp-inc,168539,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -65,Private,88145,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,Other,Male,0,0,40,?,<=50K -33,Private,150309,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,122999,Some-college,10,Never-married,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K -24,Private,302195,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -26,Private,210982,Assoc-voc,11,Separated,Adm-clerical,Unmarried,Black,Female,114,0,40,United-States,<=50K -39,Private,177140,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K -59,Private,113838,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,97165,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Private,104301,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,45,United-States,<=50K -23,?,192028,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -64,Self-emp-inc,115931,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,147280,HS-grad,9,Never-married,Other-service,Own-child,Other,Male,0,0,20,United-States,<=50K -32,Private,185433,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,>50K -26,Private,599057,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,37,United-States,<=50K -19,?,50626,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,20,United-States,<=50K -62,Self-emp-not-inc,71467,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,183977,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -75,?,26586,10th,6,Married-spouse-absent,?,Not-in-family,White,Female,0,0,5,United-States,<=50K -45,Self-emp-not-inc,196858,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -31,Private,160594,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K -32,Private,65278,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,2580,0,40,United-States,<=50K -24,Private,102258,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,196947,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -41,Self-emp-not-inc,233150,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -18,Private,42857,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -44,Private,118059,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -40,Private,169262,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3411,0,50,United-States,<=50K -27,Private,95108,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,161092,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,345253,Some-college,10,Never-married,Adm-clerical,Not-in-family,Other,Male,2174,0,40,United-States,<=50K -37,State-gov,111275,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -65,Self-emp-not-inc,178878,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,United-States,<=50K -43,Federal-gov,157237,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -45,Private,155664,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,44,United-States,<=50K -24,State-gov,322658,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,208503,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,42,United-States,<=50K -19,Local-gov,223326,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,1721,35,United-States,<=50K -37,Private,20308,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K -24,Private,124751,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -34,Private,113364,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Germany,<=50K -50,State-gov,196900,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,39,United-States,<=50K -36,Private,168170,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -39,Private,205338,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -44,Self-emp-not-inc,98806,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K -45,State-gov,226452,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -32,State-gov,479179,11th,7,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -47,Federal-gov,471990,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -50,Private,44728,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,33117,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,264876,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -19,?,47235,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -28,State-gov,293628,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,10,?,<=50K -28,Private,193122,HS-grad,9,Divorced,Sales,Other-relative,White,Male,0,0,50,United-States,<=50K -39,Federal-gov,149347,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Poland,>50K -21,Private,129172,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,2907,0,40,United-States,<=50K -73,Self-emp-not-inc,151255,Some-college,10,Widowed,Farming-fishing,Not-in-family,White,Female,0,0,75,United-States,<=50K -39,Private,98886,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,4508,0,40,Mexico,<=50K -25,Private,238673,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,137991,Some-college,10,Married-AF-spouse,Sales,Wife,White,Female,0,0,20,United-States,<=50K -51,Private,85942,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K -39,Private,85783,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,28,United-States,<=50K -31,Private,174789,Bachelors,13,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,457162,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,17,United-States,<=50K -46,Private,176026,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,27828,0,50,United-States,>50K -73,Private,88594,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -41,Private,311101,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,273989,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,370242,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -24,Private,194630,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -20,Private,313817,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,195843,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,203160,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,28,United-States,<=50K -33,Private,175856,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,75435,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -36,State-gov,291676,9th,5,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -55,Private,192869,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,36,United-States,<=50K -19,Private,124464,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,98776,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -34,Private,107960,5th-6th,3,Never-married,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K -62,State-gov,312286,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -33,Self-emp-not-inc,48520,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -39,Private,224541,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,55,Mexico,<=50K -36,Local-gov,237713,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,309990,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,33,United-States,<=50K -39,Self-emp-not-inc,37019,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -38,?,48976,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,1887,10,United-States,>50K -18,Private,170183,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -61,Private,142988,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -20,Federal-gov,163205,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,36,United-States,<=50K -35,Self-emp-not-inc,455379,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,>50K -27,Private,104423,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -66,Private,104936,10th,6,Widowed,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K -21,Private,542610,HS-grad,9,Never-married,Transport-moving,Other-relative,Black,Male,0,0,40,United-States,<=50K -20,Private,208117,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,18,United-States,<=50K -34,Private,105141,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -63,Private,156120,5th-6th,3,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,50,?,<=50K -20,?,38455,HS-grad,9,Never-married,?,Unmarried,White,Male,0,0,40,United-States,<=50K -31,Private,213339,HS-grad,9,Separated,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,177989,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2051,60,United-States,<=50K -64,State-gov,107732,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,Other,Male,0,0,45,Columbia,<=50K -32,Private,312403,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Local-gov,176992,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -36,Self-emp-not-inc,84294,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K -22,Private,143062,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,12,United-States,<=50K -53,Local-gov,139671,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -50,Private,116814,HS-grad,9,Widowed,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -36,Private,37778,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-inc,240900,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,202652,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -38,Private,52187,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -28,Private,349751,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,2174,0,50,United-States,<=50K -24,Local-gov,238384,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,37,United-States,<=50K -60,Private,209844,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -54,Private,333301,10th,6,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -27,Self-emp-inc,214974,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -30,Private,113453,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,<=50K -54,Private,162238,HS-grad,9,Widowed,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -44,Private,98779,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -52,Private,165001,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -18,Private,78528,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -55,Private,353881,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,251396,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -37,Private,178100,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -22,Private,416165,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -45,Private,177536,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,England,>50K -38,Private,203717,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -48,Private,107231,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,106448,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,196816,Assoc-voc,11,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,50,United-States,<=50K -37,Self-emp-not-inc,191342,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,60,Philippines,>50K -18,Private,170194,11th,7,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K -26,Private,113587,10th,6,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,35,United-States,<=50K -48,Self-emp-inc,72425,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -51,Private,217480,Some-college,10,Separated,Adm-clerical,Not-in-family,Black,Male,8614,0,40,United-States,>50K -52,Private,120914,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,State-gov,33945,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -39,Self-emp-not-inc,199753,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K -51,Private,144284,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -54,Private,53833,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,151158,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K -43,Private,125577,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -32,Private,242323,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -31,State-gov,195181,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -73,?,145748,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -26,Private,341672,Some-college,10,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Male,0,0,60,India,<=50K -35,Private,116369,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -73,Private,113446,5th-6th,3,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,54,United-States,>50K -25,Self-emp-not-inc,121285,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Self-emp-not-inc,25124,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2377,65,United-States,<=50K -32,Private,182274,HS-grad,9,Separated,Other-service,Own-child,White,Female,0,0,37,United-States,<=50K -28,Private,103548,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,38434,Masters,14,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -53,Self-emp-not-inc,317313,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -49,Private,177543,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -55,Private,139834,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -29,Private,118478,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,7298,0,50,United-States,>50K -28,Self-emp-not-inc,147951,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -44,Private,201734,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -41,Private,198196,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -26,Private,141876,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,3103,0,45,United-States,>50K -23,Private,325179,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -37,Self-emp-not-inc,143774,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,Germany,>50K -23,Private,152328,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,13550,0,50,United-States,>50K -33,Private,479600,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -44,Private,180599,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,>50K -21,Private,448026,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,2907,0,30,United-States,<=50K -36,Private,300333,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Cuba,<=50K -44,Local-gov,184105,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,5013,0,40,United-States,<=50K -23,Private,202084,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -26,Private,29515,HS-grad,9,Divorced,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,247328,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Mexico,<=50K -31,Private,188246,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -50,Local-gov,105788,HS-grad,9,Separated,Exec-managerial,Unmarried,Black,Female,6497,0,35,United-States,<=50K -18,Self-emp-inc,352640,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -49,Private,132576,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -59,Private,128829,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,93140,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,28,United-States,<=50K -50,Self-emp-inc,155965,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -51,Self-emp-inc,335902,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,55,United-States,<=50K -22,Private,158522,Some-college,10,Never-married,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,35,United-States,<=50K -54,Private,174806,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,>50K -37,Private,32207,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,43607,Bachelors,13,Widowed,Adm-clerical,Unmarried,White,Male,0,0,60,United-States,<=50K -67,State-gov,168224,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -43,?,180318,11th,7,Separated,?,Other-relative,White,Male,0,0,40,United-States,<=50K -21,Private,311376,Some-college,10,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K -30,Private,101562,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Local-gov,267859,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,Cuba,<=50K -36,Private,86143,Assoc-voc,11,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -33,Local-gov,217304,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -37,Private,410034,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,<=50K -29,Private,293073,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,48,United-States,>50K -18,?,39493,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -26,Private,247425,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,40,Haiti,<=50K -51,Private,128338,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,189344,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -18,Private,366154,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -52,Private,163051,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1628,40,United-States,<=50K -31,Private,437200,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -45,Private,323798,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,53,United-States,>50K -38,Private,182570,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,<=50K -21,Private,200318,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -33,Private,48520,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,130007,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -31,Private,166248,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,203554,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -64,?,192715,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,1672,10,United-States,<=50K -33,Self-emp-inc,291333,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,45,United-States,>50K -49,Self-emp-not-inc,39140,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -41,Private,266439,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,126840,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,166419,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K -42,Private,287129,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -24,Private,206827,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -42,Private,173888,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,White,Male,0,0,52,United-States,<=50K -41,State-gov,253250,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -35,Private,337239,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -71,?,113445,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -54,Federal-gov,201127,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,>50K -24,Private,403107,5th-6th,3,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -59,?,179078,HS-grad,9,Widowed,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,?,126402,11th,7,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -57,Federal-gov,223892,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -58,State-gov,191318,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -32,Private,394708,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K -22,Private,119474,HS-grad,9,Never-married,Sales,Own-child,White,Female,1055,0,25,United-States,<=50K -20,Private,419984,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -60,?,164730,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,190678,HS-grad,9,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,?,<=50K -26,Local-gov,197897,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,England,<=50K -33,Private,286675,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,191986,10th,6,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Self-emp-not-inc,90525,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,15024,0,20,United-States,>50K -32,Private,56150,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -51,Local-gov,248327,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -18,Private,90860,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K -35,Federal-gov,104858,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -22,?,228686,Some-college,10,Divorced,?,Own-child,White,Male,0,1602,25,United-States,<=50K -46,Private,196707,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K -37,Private,29430,HS-grad,9,Divorced,Sales,Unmarried,White,Male,0,0,45,United-States,<=50K -45,Private,54038,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1902,20,United-States,>50K -63,Private,281025,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,32,United-States,<=50K -53,Private,258832,HS-grad,9,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,10,Philippines,<=50K -24,Private,131220,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -65,?,190454,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,29,United-States,<=50K -43,Private,315971,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,32,?,>50K -47,Private,265097,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,185057,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,169557,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,6849,0,40,United-States,<=50K -35,Self-emp-inc,333636,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,75,United-States,<=50K -19,Private,181652,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,24,United-States,<=50K -47,Private,34307,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -25,Federal-gov,198813,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Female,0,1590,40,United-States,<=50K -59,Local-gov,240030,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,226089,10th,6,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -17,Private,190941,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -21,Private,160261,Some-college,10,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,2463,0,50,England,<=50K -31,Private,208458,HS-grad,9,Divorced,Sales,Unmarried,Other,Female,0,0,40,Mexico,<=50K -49,Private,112761,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Local-gov,67716,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -60,Self-emp-not-inc,121076,Doctorate,16,Divorced,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K -33,Self-emp-not-inc,182556,12th,8,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,231348,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,55395,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K -34,Private,344073,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5013,0,40,United-States,<=50K -38,Federal-gov,318912,Assoc-voc,11,Divorced,Adm-clerical,Own-child,Black,Male,0,0,52,United-States,<=50K -58,Self-emp-not-inc,237546,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -20,Private,346341,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,?,<=50K -52,Private,305090,Some-college,10,Separated,Sales,Other-relative,White,Female,0,0,55,United-States,<=50K -22,Local-gov,198478,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,321435,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,>50K -39,Private,259716,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,Mexico,<=50K -41,Private,191547,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,55,United-States,>50K -37,?,171482,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -56,Private,225927,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,2580,0,40,United-States,<=50K -21,Private,256504,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,168526,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K -45,Private,44489,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Male,0,0,10,United-States,<=50K -44,Local-gov,159449,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,80,United-States,>50K -54,Private,387540,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -24,Private,314819,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,2174,0,40,United-States,<=50K -40,Private,34722,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -43,State-gov,125831,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,99999,0,60,United-States,>50K -20,?,239805,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,16,United-States,<=50K -41,Self-emp-not-inc,264663,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,294121,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,83912,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,25,Mexico,<=50K -26,Private,241626,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,State-gov,137815,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -62,Self-emp-inc,153891,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,3137,0,40,United-States,<=50K -24,Private,83774,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,2885,0,45,United-States,<=50K -58,Private,199067,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,>50K -44,Self-emp-inc,57233,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -44,Private,211517,12th,8,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Self-emp-inc,132879,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -65,Self-emp-not-inc,72776,7th-8th,4,Never-married,Farming-fishing,Not-in-family,White,Male,2964,0,40,United-States,<=50K -33,Private,54318,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -34,?,143582,HS-grad,9,Married-spouse-absent,?,Not-in-family,Asian-Pac-Islander,Female,0,0,37,Taiwan,<=50K -56,Self-emp-not-inc,174564,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -35,Private,179579,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,48,United-States,>50K -33,Private,187618,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,1741,40,United-States,<=50K -35,Private,186819,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,<=50K -47,Self-emp-not-inc,60087,Some-college,10,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -35,Self-emp-not-inc,28987,9th,5,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,96,United-States,<=50K -56,Private,187355,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Self-emp-inc,218555,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -53,Self-emp-inc,94214,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,7298,0,50,Thailand,>50K -42,Private,204729,Assoc-voc,11,Separated,Sales,Unmarried,Black,Female,0,0,25,United-States,<=50K -20,?,281668,Some-college,10,Never-married,?,Other-relative,Black,Female,0,0,40,United-States,<=50K -24,Private,236696,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,Taiwan,<=50K -33,Private,179747,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,187322,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -38,State-gov,116975,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,50,United-States,>50K -32,Private,205950,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -20,Self-emp-not-inc,190968,7th-8th,4,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -32,Private,160458,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -28,Local-gov,190911,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -51,Private,85382,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -41,Local-gov,129793,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -37,Local-gov,270181,Assoc-acdm,12,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,50,United-States,<=50K -23,Private,243723,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -40,Private,168113,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,652784,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,315984,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,311311,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,111336,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,28,United-States,<=50K -30,Self-emp-not-inc,100252,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,60,South,<=50K -41,State-gov,186990,Prof-school,15,Widowed,Prof-specialty,Not-in-family,Other,Female,0,0,52,United-States,>50K -37,State-gov,241633,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,45,United-States,>50K -49,Federal-gov,252616,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -41,Federal-gov,46366,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,50,United-States,>50K -52,Local-gov,266138,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -23,Private,32732,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -34,Private,361978,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Female,1471,0,40,United-States,<=50K -25,State-gov,77661,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,2444,40,United-States,>50K -44,Self-emp-inc,60087,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -31,Local-gov,197550,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Male,0,0,33,United-States,<=50K -53,Private,170701,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -62,Private,159822,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,211494,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1876,55,United-States,<=50K -30,Federal-gov,340899,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,State-gov,224752,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -36,Private,102568,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -32,Private,220690,11th,7,Divorced,Other-service,Not-in-family,White,Male,0,0,33,United-States,<=50K -22,Private,303170,Some-college,10,Never-married,Priv-house-serv,Own-child,White,Female,0,0,28,United-States,<=50K -17,?,143331,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,192162,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,201635,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,?,55263,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -56,State-gov,133728,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -45,Private,347025,7th-8th,4,Widowed,Other-service,Unmarried,White,Female,0,0,21,United-States,<=50K -23,Private,110998,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -31,Private,122347,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,127875,11th,7,Never-married,Sales,Unmarried,White,Female,0,0,8,United-States,<=50K -42,Private,167534,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,5013,0,35,United-States,<=50K -27,State-gov,152560,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -37,Private,265144,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -31,Private,302679,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,60,United-States,<=50K -33,Private,290763,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -64,Private,86837,Preschool,1,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -32,Private,147118,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,?,103575,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,5178,0,40,United-States,>50K -37,Private,169469,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,189334,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,139571,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,4064,0,40,United-States,<=50K -36,Private,111545,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -67,Private,72776,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,10566,0,15,United-States,<=50K -54,Private,307973,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -45,Local-gov,211666,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -30,Private,143766,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,State-gov,112812,HS-grad,9,Married-civ-spouse,Protective-serv,Other-relative,White,Female,0,0,40,United-States,<=50K -57,Private,43290,10th,6,Divorced,Other-service,Not-in-family,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K -57,Private,111385,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Self-emp-not-inc,145744,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -49,Local-gov,126754,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,White,Male,0,0,40,Italy,<=50K -46,State-gov,54260,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,10,United-States,>50K -41,State-gov,34895,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,43,United-States,<=50K -44,Private,166740,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,143062,Bachelors,13,Never-married,Other-service,Own-child,White,Female,2463,0,30,United-States,<=50K -34,Local-gov,191957,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,45,United-States,>50K -24,Private,109456,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K -32,Private,198183,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -27,Local-gov,157449,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -67,Private,53874,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,Cuba,<=50K -36,Private,191754,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,320071,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,1408,48,United-States,<=50K -24,Private,164574,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,185870,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -44,State-gov,165745,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -23,Self-emp-not-inc,40323,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -46,Private,199378,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,90,United-States,<=50K -31,Private,289889,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Local-gov,152200,Some-college,10,Married-civ-spouse,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K -61,Private,198231,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -71,Self-emp-not-inc,28865,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,15,United-States,<=50K -42,Private,26915,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -27,?,108926,Some-college,10,Married-civ-spouse,?,Husband,Black,Male,0,0,5,United-States,<=50K -21,State-gov,204034,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,16,United-States,<=50K -21,Private,243368,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,25,Mexico,<=50K -28,Local-gov,191088,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,2354,0,60,United-States,<=50K -27,Local-gov,194515,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,Black,Female,0,0,37,United-States,<=50K -32,Private,28984,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,2001,25,United-States,<=50K -47,Private,125892,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,37932,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,35,England,<=50K -56,Private,249751,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,191948,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -30,Private,97306,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,176178,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -28,Private,142764,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,45,United-States,>50K -50,Private,148431,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -66,State-gov,148380,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,1424,0,10,United-States,<=50K -38,Private,314890,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,46,United-States,<=50K -62,Private,177493,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -36,Federal-gov,327435,Masters,14,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,>50K -47,Private,275967,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -25,Private,176520,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,186463,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,50380,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -70,Self-emp-not-inc,323987,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,8,United-States,<=50K -52,Private,192445,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -70,Private,142851,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,18,United-States,<=50K -19,State-gov,42750,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,199011,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,3,United-States,<=50K -37,Private,98644,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,16,?,>50K -37,Private,173963,11th,7,Separated,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -45,State-gov,284763,Some-college,10,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -29,Private,108775,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -56,Self-emp-not-inc,233312,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,Poland,<=50K -50,Private,197826,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,123007,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,2001,30,United-States,<=50K -26,Private,264012,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Self-emp-inc,214247,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,60,United-States,>50K -21,Private,200121,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -48,Self-emp-not-inc,138069,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2042,50,United-States,<=50K -22,Private,33551,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,State-gov,89083,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -47,Private,369438,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,30,United-States,>50K -61,Private,93997,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K -47,Local-gov,169699,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -37,Private,115429,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K -46,State-gov,96652,Assoc-voc,11,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -42,Self-emp-not-inc,103759,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -41,Private,54422,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Local-gov,107215,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,194630,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -27,Private,102142,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Federal-gov,134638,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,39,United-States,<=50K -56,Private,46920,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -35,Federal-gov,207973,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,Canada,<=50K -24,Private,208946,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -73,Self-emp-not-inc,252431,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,1,United-States,<=50K -36,Private,251730,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -31,Private,301251,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -50,?,137632,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,45,Haiti,<=50K -36,Private,197274,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -37,Private,106043,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K -26,Private,195636,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K -20,Private,237956,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,Cuba,<=50K -58,Private,31532,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -45,State-gov,276157,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -33,?,207668,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,142921,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,217039,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K -19,Local-gov,259169,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K -54,Private,409173,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,50,Puerto-Rico,>50K -31,State-gov,73161,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1740,40,United-States,<=50K -27,Private,241431,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -36,Private,151764,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5178,0,40,United-States,>50K -47,Federal-gov,131726,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,1876,40,United-States,<=50K -35,Private,334291,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -42,Private,67243,1st-4th,2,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,Portugal,>50K -45,Private,370261,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -70,Private,573446,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,1455,0,40,United-States,<=50K -27,Local-gov,189775,12th,8,Never-married,Other-service,Own-child,Black,Female,0,0,44,United-States,<=50K -36,Private,312206,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -23,Private,86939,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,221757,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -45,Self-emp-not-inc,213140,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,45,United-States,>50K -24,Private,308673,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -90,Private,149069,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,1825,50,United-States,>50K -50,Private,69345,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1902,44,United-States,>50K -37,Private,112158,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,99,United-States,>50K -31,Private,386299,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,61838,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,290286,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,38,United-States,<=50K -41,Private,143069,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -50,Self-emp-inc,145714,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -45,Self-emp-not-inc,285570,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,<=50K -54,Self-emp-not-inc,399705,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -54,Private,186224,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,172918,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,198270,HS-grad,9,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,38,United-States,<=50K -43,Private,307767,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -19,?,208630,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -30,Private,169002,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -31,?,186369,9th,5,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,99203,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K -48,Private,197836,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -56,Private,140136,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,35,United-States,>50K -21,Local-gov,402230,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,36,United-States,<=50K -45,Private,167159,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,116409,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Local-gov,105161,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -34,Private,263908,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -29,Private,189565,HS-grad,9,Divorced,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,224059,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -79,?,27457,Masters,14,Never-married,?,Not-in-family,White,Female,0,0,23,United-States,<=50K -35,Private,240988,Assoc-acdm,12,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,55,United-States,<=50K -39,Self-emp-not-inc,41017,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -73,Self-emp-not-inc,214498,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,12,United-States,<=50K -57,Private,186361,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -35,Self-emp-inc,165799,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -60,Private,266983,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,32,United-States,<=50K -19,?,165416,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K -54,Private,226497,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -53,Self-emp-not-inc,99516,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,177287,Some-college,10,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K -57,Self-emp-not-inc,27385,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -27,Self-emp-not-inc,147452,10th,6,Never-married,Sales,Own-child,White,Female,0,0,48,United-States,<=50K -25,Private,144334,HS-grad,9,Never-married,Exec-managerial,Own-child,Black,Male,0,0,40,United-States,<=50K -38,Private,217926,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -48,Private,153312,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,>50K -24,Private,126822,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -67,Self-emp-inc,51415,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,171886,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K -38,Private,216319,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,>50K -54,Private,279337,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Self-emp-not-inc,115085,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -57,Private,453233,10th,6,Separated,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K -34,Federal-gov,400943,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,44,United-States,<=50K -34,Private,226883,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,49,United-States,<=50K -80,Private,138050,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Female,0,0,16,United-States,<=50K -40,Private,204585,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -19,Local-gov,220558,11th,7,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,35,United-States,<=50K -35,Private,198841,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,<=50K -21,Private,67244,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -59,Local-gov,75785,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,85423,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -41,Self-emp-not-inc,134724,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,White,Female,3103,0,40,United-States,>50K -59,Private,109567,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -21,?,132053,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -52,Private,157413,1st-4th,2,Divorced,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K -48,Private,238567,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -24,Private,153133,12th,8,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -49,Private,186256,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -19,Private,260265,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K -50,Private,131819,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,141584,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -25,Private,245121,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K -66,Private,22502,7th-8th,4,Divorced,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -30,Private,23778,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,4416,0,40,United-States,<=50K -49,Private,380922,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,80,United-States,>50K -40,Self-emp-not-inc,173651,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -38,Private,191137,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,217006,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,State-gov,22211,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,37,United-States,>50K -23,Local-gov,57711,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Germany,<=50K -60,Self-emp-not-inc,123190,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,67,United-States,>50K -44,Private,110028,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,27828,0,60,United-States,>50K -53,Self-emp-not-inc,174102,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,25236,0,60,United-States,>50K -66,Self-emp-not-inc,183249,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,>50K -18,?,240183,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,45,United-States,<=50K -44,Local-gov,49665,Assoc-voc,11,Divorced,Machine-op-inspct,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -38,Private,210438,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K -30,Private,53373,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -36,Private,295706,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,3674,0,42,United-States,<=50K -38,Local-gov,273457,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -31,Federal-gov,165949,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -26,Private,142152,11th,7,Never-married,Transport-moving,Not-in-family,White,Female,0,0,35,United-States,<=50K -23,Private,189203,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K -58,State-gov,179089,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -44,Self-emp-not-inc,53956,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3137,0,40,United-States,<=50K -59,Self-emp-inc,77816,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K -36,Local-gov,74593,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,196158,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,8614,0,52,United-States,>50K -17,Private,28544,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -59,Local-gov,662460,10th,6,Widowed,Prof-specialty,Unmarried,White,Female,0,0,15,United-States,<=50K -22,Private,152328,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,120277,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -36,Private,180278,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -19,?,426589,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -49,Private,111558,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1977,25,United-States,>50K -18,?,243203,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,Puerto-Rico,<=50K -38,Self-emp-not-inc,195686,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Male,0,0,25,United-States,<=50K -48,Private,226696,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -53,?,118058,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -33,Private,172237,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,46,United-States,<=50K -34,Self-emp-not-inc,114074,Assoc-voc,11,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Federal-gov,171589,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,>50K -20,?,184271,Assoc-acdm,12,Never-married,?,Own-child,White,Female,594,0,20,United-States,<=50K -58,Local-gov,218724,HS-grad,9,Widowed,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,134190,10th,6,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -45,Local-gov,181964,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,47,United-States,>50K -37,Private,385330,7th-8th,4,Separated,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K -48,Private,242406,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Dominican-Republic,<=50K -40,Federal-gov,107584,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -29,Private,127892,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -33,Private,160261,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,10,United-States,<=50K -51,?,285200,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2105,0,24,United-States,<=50K -48,Private,153254,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,48,United-States,<=50K -36,Self-emp-not-inc,294672,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -31,Private,145924,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,35,United-States,<=50K -41,Self-emp-not-inc,280005,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -29,Federal-gov,66893,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,47039,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -53,Federal-gov,36186,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -37,Private,159383,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,192010,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K -27,Private,216479,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,?,274680,Preschool,1,Separated,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,211345,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Nicaragua,<=50K -25,Private,203561,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,56,United-States,>50K -63,Private,170815,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,<=50K -65,Self-emp-not-inc,200565,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,18,United-States,<=50K -77,Private,89655,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,234195,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,98466,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -67,Private,191437,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,77792,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,40,?,<=50K -24,Local-gov,134181,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -53,State-gov,195690,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K -37,Self-emp-inc,94869,Masters,14,Divorced,Prof-specialty,Not-in-family,Black,Male,4787,0,40,United-States,>50K -44,State-gov,267464,Some-college,10,Separated,Tech-support,Own-child,Black,Female,0,0,40,United-States,<=50K -25,?,257006,11th,7,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -17,Private,81010,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -47,Private,54260,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,60,United-States,>50K -62,Federal-gov,171995,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,2829,0,40,United-States,<=50K -39,Private,245665,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -18,?,35855,11th,7,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -32,State-gov,189838,Some-college,10,Divorced,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K -25,Private,629900,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,>50K -30,Private,84119,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -47,Private,47343,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -40,Private,103614,10th,6,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,303092,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -41,State-gov,124520,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -21,Private,220857,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -32,State-gov,247481,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K -54,Private,283281,7th-8th,4,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,50,United-States,<=50K -31,Private,25610,Preschool,1,Never-married,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Male,0,0,25,United-States,<=50K -42,Private,13769,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -23,Private,283969,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,Mexico,<=50K -18,Private,185522,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,33,United-States,<=50K -65,?,173309,7th-8th,4,Widowed,?,Not-in-family,White,Female,401,0,12,United-States,<=50K -37,Private,144005,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -53,State-gov,205949,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -50,Private,158948,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,84,United-States,<=50K -64,Private,240357,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K -55,Private,243929,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -63,Private,201700,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K -53,Private,208402,Some-college,10,Divorced,Adm-clerical,Unmarried,Other,Female,4865,0,45,Mexico,<=50K -18,Private,120599,11th,7,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -33,Private,231826,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -62,Private,499971,11th,7,Widowed,Handlers-cleaners,Not-in-family,Black,Female,0,0,40,United-States,<=50K -56,Private,227972,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,48,Germany,>50K -58,State-gov,299680,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,15024,0,43,United-States,>50K -33,Private,231822,10th,6,Separated,Sales,Unmarried,White,Female,0,0,38,United-States,<=50K -58,Private,185459,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -44,Private,90582,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -81,Private,184615,7th-8th,4,Widowed,Machine-op-inspct,Unmarried,White,Female,1264,0,40,United-States,<=50K -28,Private,173858,HS-grad,9,Never-married,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,35,China,<=50K -28,Private,132326,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,315037,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -51,Private,175122,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -23,Private,239577,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,52,United-States,<=50K -48,Self-emp-not-inc,96975,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K -45,Self-emp-inc,61885,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,48,United-States,>50K -48,Private,185870,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -37,State-gov,142282,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,16,United-States,<=50K -34,Private,334744,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -63,Self-emp-not-inc,201600,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1902,60,United-States,>50K -38,Private,34378,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,180271,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,123833,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,213304,5th-6th,3,Separated,Other-service,Unmarried,White,Female,0,0,40,El-Salvador,<=50K -30,Private,296538,9th,5,Divorced,Farming-fishing,Own-child,White,Male,0,0,30,United-States,<=50K -35,Private,391937,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -54,Self-emp-inc,175339,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2415,40,United-States,>50K -26,Private,60726,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Male,6849,0,50,United-States,<=50K -39,Private,191103,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,54,United-States,<=50K -34,State-gov,32174,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Private,176219,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K -33,Self-emp-not-inc,294434,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,76,United-States,>50K -17,Private,310885,7th-8th,4,Never-married,Other-service,Own-child,White,Male,0,0,36,Mexico,<=50K -27,Private,171133,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,38,United-States,<=50K -53,Private,162951,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,41,United-States,>50K -43,Private,223934,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,23940,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -52,Private,88073,Bachelors,13,Divorced,Tech-support,Unmarried,White,Female,0,0,50,United-States,<=50K -60,Private,57371,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,73684,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,65,United-States,>50K -39,Private,107164,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -29,Private,120126,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,40,United-States,>50K -41,Self-emp-not-inc,54611,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,50,United-States,>50K -61,Private,131117,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K -71,Federal-gov,101676,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,403965,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,35,United-States,<=50K -33,Private,177083,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,Canada,<=50K -52,Private,173987,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -40,Private,352080,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -26,?,102400,HS-grad,9,Married-civ-spouse,?,Own-child,White,Male,0,0,40,United-States,<=50K -31,Local-gov,378426,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,99,Columbia,<=50K -42,Private,210857,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -63,Private,165775,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,21,United-States,<=50K -53,Private,295896,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -34,State-gov,238944,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -48,Private,149640,Some-college,10,Separated,Craft-repair,Unmarried,White,Male,1506,0,40,Honduras,<=50K -67,?,106175,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,>50K -49,Private,191320,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -28,Local-gov,134771,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,55,United-States,<=50K -51,?,295538,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,120277,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K -27,Private,82393,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -49,Private,146121,5th-6th,3,Married-spouse-absent,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Female,0,0,20,Vietnam,<=50K -34,Private,162544,7th-8th,4,Never-married,Priv-house-serv,Own-child,White,Female,0,0,30,United-States,<=50K -27,Self-emp-not-inc,216178,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -38,Self-emp-not-inc,248694,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K -24,Private,219140,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,360401,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,1719,48,United-States,<=50K -39,Private,319962,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -50,Private,115284,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Private,29702,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K -63,?,107085,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,7,United-States,<=50K -44,State-gov,204361,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Private,218312,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,182332,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -23,Private,127876,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -20,Private,316702,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,292549,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -21,Private,203178,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -63,Private,180099,10th,6,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -38,Private,154541,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,United-States,>50K -27,Private,95465,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -41,Private,171839,Masters,14,Married-civ-spouse,Other-service,Wife,White,Female,0,0,50,United-States,>50K -43,Private,115562,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K -39,State-gov,42478,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,?,117054,5th-6th,3,Divorced,?,Not-in-family,White,Male,0,0,99,United-States,<=50K -56,Self-emp-inc,124137,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,45,United-States,>50K -44,State-gov,107503,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,60,United-States,<=50K -24,Private,70261,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -49,Private,367037,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,4650,0,40,United-States,<=50K -38,Private,258339,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,70,Iran,<=50K -36,Self-emp-not-inc,269509,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K -27,State-gov,301302,Doctorate,16,Married-spouse-absent,Tech-support,Not-in-family,White,Male,0,0,20,?,<=50K -50,Private,369367,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Private,224582,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,52,United-States,<=50K -41,Local-gov,343591,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,10,United-States,<=50K -45,?,53540,11th,7,Divorced,?,Unmarried,Black,Female,0,0,16,United-States,<=50K -46,Private,153536,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -65,?,91262,HS-grad,9,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,48,United-States,>50K -44,Private,238574,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -35,Private,247558,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K -44,Self-emp-not-inc,188278,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,45,United-States,<=50K -51,Private,194995,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -74,Local-gov,168782,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -32,Private,287229,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -22,Private,202153,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -58,?,230586,10th,6,Widowed,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -47,Private,115358,HS-grad,9,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -32,Private,78283,12th,8,Never-married,Transport-moving,Unmarried,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -64,Federal-gov,168854,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,25,United-States,<=50K -44,Private,222011,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,25,United-States,>50K -59,Private,157749,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Male,0,3004,40,United-States,>50K -34,Private,203814,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K -54,Private,74660,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,Canada,>50K -33,Private,292603,Some-college,10,Divorced,Other-service,Not-in-family,Black,Female,0,0,30,Dominican-Republic,<=50K -44,Private,172364,1st-4th,2,Married-civ-spouse,Transport-moving,Wife,White,Female,3908,0,60,United-States,<=50K -31,Private,305619,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -30,State-gov,157990,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,120243,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,17,United-States,<=50K -56,Self-emp-not-inc,296991,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,England,>50K -24,Private,174845,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,180475,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,152652,11th,7,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,172941,Bachelors,13,Never-married,Prof-specialty,Unmarried,Black,Male,0,0,20,United-States,<=50K -39,Federal-gov,450770,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,166003,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -22,?,204935,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -42,State-gov,60949,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -51,Local-gov,181132,Masters,14,Separated,Prof-specialty,Not-in-family,White,Male,0,0,39,United-States,>50K -20,Private,408988,Some-college,10,Never-married,Sales,Own-child,White,Female,594,0,24,United-States,<=50K -49,Private,169515,10th,6,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -31,Private,250087,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -41,Private,208613,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,225172,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -20,?,125905,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -35,Private,165007,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,42,United-States,>50K -46,Private,165346,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,8,United-States,<=50K -35,Private,37655,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,60,United-States,<=50K -21,Private,172047,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,20,United-States,<=50K -45,Private,178530,12th,8,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Local-gov,347491,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -45,Self-emp-inc,208049,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,1590,40,United-States,<=50K -18,Private,111019,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K -53,Self-emp-not-inc,163826,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -24,Local-gov,117023,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,281982,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,150025,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -50,Private,176215,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7688,0,56,United-States,>50K -38,Private,166062,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -34,Local-gov,28568,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -53,Private,53833,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,32,United-States,>50K -46,Private,219967,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K -50,Private,309017,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,45,United-States,<=50K -45,Private,353083,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,257992,Assoc-voc,11,Never-married,Sales,Own-child,Black,Male,0,0,23,United-States,<=50K -41,Private,283174,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K -43,Self-emp-not-inc,185413,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -29,Private,207513,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,<=50K -53,Private,56213,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -24,Private,100961,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,51700,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,199224,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -43,Local-gov,70055,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,<=50K -38,Private,183683,10th,6,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -64,Private,45868,7th-8th,4,Separated,Priv-house-serv,Not-in-family,Other,Female,0,0,35,Mexico,<=50K -37,Private,94706,Bachelors,13,Never-married,Prof-specialty,Own-child,Amer-Indian-Eskimo,Male,27828,0,40,United-States,>50K -48,Private,322183,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,35,United-States,>50K -27,Self-emp-not-inc,226976,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -45,Private,262678,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,135056,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,10520,0,38,United-States,>50K -33,?,148380,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,3103,0,60,United-States,>50K -42,Private,270710,9th,5,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,166220,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,50,United-States,<=50K -29,Private,229803,HS-grad,9,Married-spouse-absent,Transport-moving,Not-in-family,Black,Male,0,0,49,Haiti,<=50K -71,Self-emp-inc,172652,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -29,Federal-gov,204796,10th,6,Separated,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,State-gov,186634,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,16,United-States,<=50K -28,Private,106672,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,2,United-States,<=50K -55,Private,135339,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,>50K -47,State-gov,287547,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -21,?,197583,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -33,Private,159737,HS-grad,9,Separated,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Local-gov,252217,12th,8,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -42,Self-emp-inc,202466,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,45,United-States,>50K -33,Private,123031,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -30,Private,226296,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,232036,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,?,233779,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -21,?,152328,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,481987,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -42,Private,107563,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -28,Private,184806,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,58,United-States,<=50K -36,Private,188850,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -39,Private,127573,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,72443,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Private,142080,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,38,United-States,>50K -50,Private,143353,HS-grad,9,Divorced,Priv-house-serv,Unmarried,Black,Female,0,0,12,United-States,<=50K -63,Private,172433,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K -44,Private,67874,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,625,50,United-States,<=50K -38,Private,415578,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -30,Self-emp-not-inc,370498,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,140513,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,25,United-States,<=50K -44,Self-emp-not-inc,193882,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -24,Private,289909,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,284078,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,2354,0,40,United-States,<=50K -42,Self-emp-not-inc,83953,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -54,Private,167380,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -45,State-gov,112761,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -37,Private,420040,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -30,Federal-gov,42900,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,32086,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -19,Private,291181,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,50,Mexico,<=50K -22,Private,71009,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -65,Federal-gov,200764,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,?,133336,10th,6,Divorced,?,Not-in-family,White,Male,0,0,25,United-States,<=50K -36,Self-emp-not-inc,166193,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -22,Private,240229,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -28,Private,334032,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -30,State-gov,184901,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -47,Private,132912,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -29,Private,217290,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,184655,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,242739,Bachelors,13,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -52,Private,279344,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,60,United-States,>50K -62,Private,166691,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,154374,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -33,Private,31740,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,129396,11th,7,Never-married,Sales,Other-relative,White,Female,0,0,26,United-States,<=50K -54,Private,195015,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,187431,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -45,State-gov,259087,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -37,State-gov,62428,Some-college,10,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,15,United-States,<=50K -21,Private,77572,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Asian-Pac-Islander,Female,0,0,34,South,<=50K -29,Private,245402,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,State-gov,201117,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -18,?,36779,11th,7,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -62,Private,177028,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K -19,Private,106306,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,20,United-States,<=50K -62,Private,101582,7th-8th,4,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,35,United-States,<=50K -58,Local-gov,158357,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,377850,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -62,Private,207443,11th,7,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,50,United-States,<=50K -23,Private,130959,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,12,United-States,<=50K -37,Private,112497,Bachelors,13,Married-spouse-absent,Exec-managerial,Unmarried,White,Male,4934,0,50,United-States,>50K -42,Private,190545,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,46,United-States,<=50K -21,Private,114292,11th,7,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -41,Private,75171,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,312939,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,52870,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,174947,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -62,Local-gov,106069,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,298696,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,392812,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -53,Private,117932,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -64,Private,135527,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -60,Private,135158,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,48,United-States,>50K -47,Private,54260,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -45,State-gov,28171,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,150324,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,109494,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,45,United-States,>50K -57,Private,204209,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K -19,Private,328167,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -26,Private,157617,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,?,<=50K -63,Self-emp-inc,180955,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K -42,Private,478373,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,245090,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -34,Private,209900,10th,6,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,?,228649,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -35,Private,190297,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,44780,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,8,United-States,>50K -52,State-gov,32372,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,137184,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -67,Private,366425,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Male,99999,0,60,United-States,>50K -26,Private,160307,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,2001,40,United-States,<=50K -58,Private,170480,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -48,Private,224393,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -25,Private,173212,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,86646,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,4865,0,48,United-States,<=50K -25,Private,108683,Some-college,10,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,50,United-States,<=50K -18,Private,70021,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K -36,Private,192939,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -45,Self-emp-not-inc,144086,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -34,Private,97614,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -68,Self-emp-inc,260198,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -37,Private,486194,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,Guatemala,<=50K -21,Private,112225,Some-college,10,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,15,United-States,<=50K -49,Private,164200,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -39,Local-gov,52401,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -41,Private,195821,Doctorate,16,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,40,United-States,>50K -35,Private,108140,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -29,Local-gov,187981,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -29,?,108126,9th,5,Separated,?,Own-child,White,Female,0,0,40,United-States,<=50K -54,Local-gov,168212,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -32,Self-emp-not-inc,198613,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,?,>50K -18,Private,52098,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -30,Private,509364,Some-college,10,Married-civ-spouse,Adm-clerical,Own-child,White,Male,0,0,40,United-States,>50K -66,?,128614,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,>50K -23,Local-gov,238384,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,317434,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -34,Private,158688,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -39,Self-emp-not-inc,267412,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -26,Local-gov,391074,10th,6,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -78,Private,135692,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,78529,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,117700,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -33,Local-gov,83413,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,>50K -44,?,210875,11th,7,Divorced,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -34,Private,108023,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -33,Self-emp-not-inc,103435,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -28,Private,632733,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -55,Private,266019,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,4,United-States,<=50K -30,Private,41210,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -45,Private,125892,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Poland,<=50K -46,Private,135339,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -17,Private,272372,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,7,United-States,<=50K -40,Private,291300,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -44,Local-gov,157473,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -56,Private,329948,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -69,Self-emp-inc,264722,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -41,Private,132853,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Mexico,<=50K -47,Local-gov,216586,11th,7,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -33,Private,504725,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,3464,0,40,Mexico,<=50K -25,State-gov,150083,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -42,Private,188789,7th-8th,4,Widowed,Handlers-cleaners,Not-in-family,White,Female,0,0,35,United-States,<=50K -65,?,101427,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,2653,0,30,United-States,<=50K -24,Private,103277,Assoc-voc,11,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -48,Federal-gov,191013,Bachelors,13,Widowed,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -82,Self-emp-inc,220667,7th-8th,4,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,188800,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -34,Private,24361,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,10520,0,40,United-States,>50K -28,Private,82910,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -65,Private,105586,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,20051,0,40,United-States,>50K -66,Self-emp-not-inc,240294,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,60,United-States,<=50K -40,Private,21755,Some-college,10,Never-married,Craft-repair,Other-relative,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K -66,Private,73522,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,?,<=50K -37,Private,222450,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,El-Salvador,<=50K -34,Private,35595,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,239061,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -43,Private,122473,Masters,14,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,1977,50,United-States,>50K -20,Private,190290,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,Canada,<=50K -59,Private,193375,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,10,United-States,<=50K -48,Private,148576,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -45,State-gov,72896,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -28,Private,180299,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -43,Private,221550,Bachelors,13,Separated,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -18,Private,183011,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,15,Haiti,<=50K -34,?,370209,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Self-emp-inc,298449,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2179,60,United-States,<=50K -21,Local-gov,300812,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,173938,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,282172,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,Private,87300,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,64520,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,State-gov,119567,Masters,14,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,117310,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -35,State-gov,28738,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,4101,0,40,United-States,<=50K -17,?,99695,10th,6,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -49,Private,366089,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -40,Private,234397,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K -28,Self-emp-not-inc,132686,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Self-emp-inc,196963,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -31,State-gov,46492,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -38,Local-gov,274245,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -62,Private,360032,10th,6,Divorced,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -40,Private,144778,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,Private,142245,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Federal-gov,178074,Masters,14,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1902,40,United-States,>50K -19,?,218171,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,2,South,<=50K -32,Local-gov,130242,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -52,Private,98980,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,284629,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,114591,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -30,Private,134639,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,8614,0,45,United-States,>50K -27,Private,134890,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,199545,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -32,Private,227282,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -47,Self-emp-inc,308241,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,60,United-States,>50K -43,Private,214781,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,38,United-States,>50K -50,Local-gov,173630,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,>50K -42,Federal-gov,348059,Assoc-acdm,12,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K -31,Private,208785,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -43,Private,151809,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -37,Private,71592,HS-grad,9,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,17,United-States,<=50K -58,Private,132704,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,3325,0,40,United-States,<=50K -32,Private,250583,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K -35,Private,114765,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,>50K -40,Self-emp-not-inc,194924,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -39,Self-emp-not-inc,73471,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,1573,45,United-States,<=50K -51,Private,250423,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -42,Private,145441,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -27,Private,86681,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -69,Private,188643,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,1429,30,United-States,<=50K -74,Private,68326,Assoc-voc,11,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,382859,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,>50K -23,?,211968,Some-college,10,Never-married,?,Own-child,White,Female,0,0,23,Iran,<=50K -48,Local-gov,132368,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,196123,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -68,Private,178066,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,1797,0,24,United-States,<=50K -40,State-gov,105936,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,306639,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,26502,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Local-gov,204698,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,118057,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Male,0,0,51,United-States,<=50K -22,State-gov,199266,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,17,United-States,<=50K -49,Private,248145,HS-grad,9,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,40,Nicaragua,<=50K -51,Private,239284,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Self-emp-inc,188738,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -31,Private,209101,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -67,Local-gov,197816,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,24,United-States,<=50K -27,?,60726,Bachelors,13,Never-married,?,Not-in-family,Black,Male,0,0,45,United-States,<=50K -59,Self-emp-not-inc,211678,Masters,14,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,15,United-States,<=50K -66,Private,304957,HS-grad,9,Widowed,Priv-house-serv,Unmarried,White,Female,0,0,25,United-States,<=50K -28,Private,278552,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K -33,Self-emp-not-inc,79303,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -44,Local-gov,64632,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K -39,Private,560313,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,45,United-States,>50K -39,Local-gov,174597,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K -46,Private,139946,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,>50K -19,Private,277695,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,36,Mexico,<=50K -44,Self-emp-not-inc,138471,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,320615,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,2205,40,United-States,<=50K -48,Private,164954,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,42,United-States,<=50K -27,Private,263728,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3137,0,50,United-States,<=50K -44,Private,103980,Some-college,10,Divorced,Prof-specialty,Own-child,White,Male,3325,0,35,United-States,<=50K -30,Private,159442,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,Ireland,<=50K -32,Federal-gov,113838,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -49,Private,28171,Masters,14,Married-civ-spouse,Protective-serv,Husband,White,Male,15024,0,78,United-States,>50K -37,Self-emp-not-inc,227253,Preschool,1,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,Mexico,<=50K -24,Private,211129,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Female,0,0,60,United-States,>50K -19,Private,120003,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -20,Private,245182,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -25,Private,188767,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -29,Private,227890,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -43,Private,131650,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -35,Local-gov,258725,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -47,Local-gov,127678,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,>50K -53,Private,110747,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,409246,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -32,Private,128829,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,170031,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,150917,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,<=50K -41,Private,197372,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -49,Self-emp-not-inc,43479,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Male,0,0,63,Canada,>50K -36,Private,166549,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,119684,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,2829,0,28,United-States,<=50K -44,Private,651702,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,United-States,<=50K -69,Self-emp-not-inc,199829,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1258,40,United-States,<=50K -22,Private,86745,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -36,Private,644278,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K -58,Private,31137,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3464,0,60,United-States,<=50K -32,Private,104525,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2407,0,40,United-States,<=50K -19,?,91278,Some-college,10,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -27,Private,111361,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -19,?,291692,Some-college,10,Never-married,?,Own-child,White,Male,0,0,28,United-States,<=50K -35,Private,228881,HS-grad,9,Never-married,Craft-repair,Other-relative,Other,Male,0,0,40,Puerto-Rico,<=50K -58,Private,152731,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -18,Private,178310,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -48,Self-emp-not-inc,116360,Assoc-voc,11,Divorced,Tech-support,Other-relative,Black,Female,0,0,10,United-States,<=50K -22,Private,535852,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Mexico,<=50K -39,Private,30828,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,39518,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -23,Private,445758,5th-6th,3,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,Mexico,<=50K -40,Private,222504,Assoc-voc,11,Never-married,Prof-specialty,Own-child,White,Female,0,0,36,United-States,<=50K -35,Private,357619,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Germany,<=50K -20,?,121389,Some-college,10,Never-married,?,Own-child,White,Male,0,0,32,United-States,<=50K -41,Private,228847,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -27,Private,118598,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,35,United-States,<=50K -58,Private,49893,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -38,Private,452353,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -40,State-gov,285000,Bachelors,13,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -29,Private,263300,HS-grad,9,Separated,Priv-house-serv,Unmarried,Black,Female,0,0,55,United-States,<=50K -28,State-gov,132675,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,Germany,<=50K -35,Private,175232,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,257421,12th,8,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -29,Private,196227,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,34965,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -65,Private,475775,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,22,United-States,<=50K -19,Private,196857,11th,7,Never-married,Adm-clerical,Own-child,White,Female,594,0,15,United-States,<=50K -37,Private,159917,9th,5,Separated,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -22,Private,212803,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -70,Private,118902,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Scotland,<=50K -21,Local-gov,166827,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -21,Private,180060,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,47218,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -46,Private,73541,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -33,State-gov,150688,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,India,>50K -36,Private,207824,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -42,Self-emp-inc,198282,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -52,Private,206359,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -55,?,125659,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,6,United-States,>50K -60,Local-gov,129193,Some-college,10,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Local-gov,167457,7th-8th,4,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,455469,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -24,Private,206891,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,269323,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -45,Local-gov,187715,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -48,Federal-gov,71376,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,268707,11th,7,Married-civ-spouse,Machine-op-inspct,Other-relative,White,Male,0,0,42,United-States,<=50K -45,Private,215620,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,158438,HS-grad,9,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,209629,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,121076,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -34,Private,97933,9th,5,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -25,Private,177423,HS-grad,9,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,4416,0,45,Philippines,<=50K -39,Private,185520,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Federal-gov,38321,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -33,Private,213307,1st-4th,2,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,Mexico,<=50K -48,Private,328581,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -58,Private,177368,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,148903,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -53,Self-emp-not-inc,385520,HS-grad,9,Widowed,Farming-fishing,Unmarried,White,Female,0,0,55,United-States,<=50K -25,Self-emp-not-inc,193716,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,238899,Bachelors,13,Never-married,Sales,Own-child,Black,Female,0,0,30,United-States,<=50K -36,Private,209993,5th-6th,3,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,40,El-Salvador,<=50K -51,State-gov,136060,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Local-gov,192944,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,29927,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Local-gov,200593,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,311376,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,25,United-States,<=50K -58,Private,206814,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,50,United-States,>50K -21,Private,278391,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,Nicaragua,<=50K -32,Private,364657,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -54,?,120781,Doctorate,16,Married-spouse-absent,?,Unmarried,Asian-Pac-Islander,Male,0,0,20,India,<=50K -62,Private,175080,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -29,?,522241,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -43,Private,161240,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -20,Private,162282,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,60,United-States,<=50K -23,Private,199419,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -26,Private,171114,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,208855,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -30,Private,381030,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -63,Private,219337,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,3471,0,45,United-States,<=50K -45,Private,180010,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -39,Private,189382,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,121712,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,30,United-States,<=50K -28,?,192257,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,5,United-States,<=50K -20,?,68620,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,352188,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,398874,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,42,United-States,<=50K -33,Private,191930,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,50,United-States,<=50K -26,Private,269168,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -20,?,123536,Some-college,10,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -40,Private,173651,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -49,Private,149337,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -64,Private,146674,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,?,>50K -65,Private,173483,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -19,Private,223669,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -47,Private,182177,Some-college,10,Divorced,Protective-serv,Unmarried,White,Female,0,0,23,United-States,<=50K -24,Private,109414,Some-college,10,Never-married,Sales,Other-relative,Asian-Pac-Islander,Male,0,0,20,India,<=50K -55,Self-emp-inc,150917,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K -61,Self-emp-not-inc,39128,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -47,Local-gov,103540,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -64,Private,110212,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -37,Private,222450,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,2339,40,El-Salvador,<=50K -21,?,113760,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -40,?,253717,11th,7,Married-civ-spouse,?,Wife,White,Female,0,0,16,United-States,<=50K -25,Private,306908,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,263871,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -40,State-gov,55294,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -21,Private,174063,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -54,State-gov,258735,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -47,Private,275867,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,154235,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -32,Local-gov,210448,Some-college,10,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -32,Private,337908,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,30,United-States,<=50K -26,State-gov,205333,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,10,United-States,<=50K -23,Private,187447,Some-college,10,Separated,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,153589,9th,5,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Local-gov,149988,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,398959,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,?,194096,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -39,Private,44041,Assoc-acdm,12,Married-spouse-absent,Adm-clerical,Other-relative,White,Male,0,0,60,United-States,<=50K -22,Private,208946,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,30,?,<=50K -47,Private,202117,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,37,United-States,<=50K -34,Local-gov,303129,HS-grad,9,Divorced,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -35,Private,215419,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -20,Private,175069,Some-college,10,Never-married,Sales,Own-child,White,Male,1055,0,30,United-States,<=50K -36,Federal-gov,20469,HS-grad,9,Divorced,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -52,Private,254680,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,99,United-States,<=50K -38,Self-emp-inc,46385,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,178463,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,229296,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -38,Private,179352,Assoc-acdm,12,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -56,Self-emp-not-inc,177368,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,>50K -30,Private,156015,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -35,State-gov,308945,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -60,Self-emp-not-inc,119575,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -20,Private,332689,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -18,Private,150817,12th,8,Never-married,Protective-serv,Own-child,White,Female,0,0,45,United-States,<=50K -19,Private,50941,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -53,Federal-gov,59664,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,5013,0,40,United-States,<=50K -18,Private,56613,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,20,United-States,<=50K -44,Private,162372,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Puerto-Rico,<=50K -57,Private,77927,5th-6th,3,Divorced,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,37,United-States,<=50K -36,?,157278,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Self-emp-not-inc,170214,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,Iran,<=50K -33,Private,76493,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -19,Private,130431,5th-6th,3,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,36,Mexico,<=50K -40,State-gov,23037,Some-college,10,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Male,0,0,84,United-States,<=50K -20,Self-emp-not-inc,176321,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,105449,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K -41,Private,157217,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -47,Federal-gov,382532,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -23,Private,250918,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,30,United-States,<=50K -49,State-gov,139268,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,70,United-States,>50K -37,Self-emp-not-inc,200352,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -67,Private,267915,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -24,Private,376474,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,153047,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -29,Private,154236,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,58,United-States,>50K -22,?,261881,11th,7,Never-married,?,Other-relative,Black,Female,0,0,15,United-States,<=50K -26,Private,427744,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,100580,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,10,United-States,<=50K -23,Private,238179,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,2339,45,United-States,<=50K -37,State-gov,272471,Some-college,10,Widowed,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,259058,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,0,1726,40,United-States,<=50K -41,Private,112656,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,197286,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -47,Federal-gov,26145,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,314440,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,57691,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Male,0,2258,70,United-States,<=50K -33,Private,301251,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -25,Private,243410,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -40,Private,119008,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -67,Private,169435,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,200327,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,18,United-States,<=50K -69,Private,31501,Assoc-voc,11,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,223327,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,1672,42,United-States,<=50K -52,Private,191130,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -22,?,191561,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,30,United-States,<=50K -47,Private,245724,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,194134,Assoc-voc,11,Never-married,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -23,Private,140764,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,1590,40,United-States,<=50K -41,Self-emp-not-inc,189941,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,149368,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -57,Local-gov,237546,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -34,Private,211051,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -44,State-gov,307468,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,>50K -46,Self-emp-not-inc,27847,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -60,Private,39263,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,3325,0,35,United-States,<=50K -46,Local-gov,183610,Masters,14,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Self-emp-inc,235847,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,52,United-States,<=50K -44,Local-gov,32627,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,60,United-States,>50K -43,Private,42026,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -48,Federal-gov,72808,11th,7,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K -55,Private,377113,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,60,United-States,>50K -24,Private,176389,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -65,Private,71075,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -51,Self-emp-inc,110327,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -42,State-gov,392167,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -36,Private,130808,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,351757,10th,6,Never-married,Other-service,Unmarried,White,Male,0,0,30,El-Salvador,<=50K -24,Self-emp-not-inc,345420,7th-8th,4,Never-married,Farming-fishing,Other-relative,White,Male,0,0,50,United-States,<=50K -52,Private,220984,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,236834,9th,5,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,35,Mexico,<=50K -42,Private,153489,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,330850,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,70,United-States,<=50K -53,Private,337195,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -35,Private,214816,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,36,United-States,<=50K -20,Private,92863,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,226894,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,13550,0,40,United-States,>50K -46,Private,40666,Bachelors,13,Divorced,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,<=50K -18,?,142043,11th,7,Never-married,?,Other-relative,White,Male,0,0,15,United-States,<=50K -58,Private,105239,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -41,Private,112763,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K -66,Self-emp-not-inc,219220,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,2653,0,40,United-States,<=50K -38,State-gov,168223,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,175639,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,28,United-States,<=50K -39,Private,167482,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -44,Local-gov,178417,HS-grad,9,Married-civ-spouse,Protective-serv,Own-child,White,Male,0,0,40,United-States,>50K -26,Local-gov,33604,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,25,United-States,<=50K -27,Private,62082,Bachelors,13,Never-married,Sales,Own-child,Other,Male,0,0,38,United-States,<=50K -29,Private,149902,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,80,United-States,<=50K -29,Private,74784,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -47,Self-emp-inc,54260,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -62,?,119986,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,>50K -29,Local-gov,165218,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K -52,Local-gov,192853,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Other,Male,0,0,40,Jamaica,>50K -27,Private,56299,11th,7,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -53,?,394690,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,5,United-States,<=50K -29,Private,208406,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -62,Private,165827,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -72,Private,249559,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,25,United-States,<=50K -27,Private,151382,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,161141,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -27,Private,57092,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -49,Private,116927,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -56,Private,133876,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -52,Self-emp-inc,229259,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -22,Private,338162,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,United-States,<=50K -37,Federal-gov,38948,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,169276,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,Black,Male,0,0,40,United-States,<=50K -38,State-gov,364803,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,65,United-States,<=50K -45,Private,302677,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,1340,50,United-States,<=50K -35,Private,235485,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -21,Private,91189,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,60,United-States,<=50K -54,Federal-gov,149596,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,<=50K -19,Private,89211,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -48,State-gov,241854,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -41,Private,213351,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,74631,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -56,Private,128696,11th,7,Married-civ-spouse,Tech-support,Wife,Black,Female,0,0,40,United-States,<=50K -49,Private,141069,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -17,?,347248,10th,6,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -45,Private,176947,7th-8th,4,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -46,Private,274200,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -39,Private,94036,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -52,?,188431,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,<=50K -34,Local-gov,176802,11th,7,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -65,?,258973,Some-college,10,Widowed,?,Not-in-family,White,Female,401,0,14,United-States,<=50K -46,Private,235646,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,175883,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -48,Private,154430,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -71,Private,258126,9th,5,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,39,Cuba,<=50K -26,Federal-gov,337575,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -47,Self-emp-inc,308241,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -21,?,162165,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,43,United-States,<=50K -23,Private,298623,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -65,Private,270935,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K -60,Private,338833,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,38,United-States,<=50K -19,?,341631,HS-grad,9,Never-married,?,Other-relative,White,Female,0,0,25,United-States,<=50K -35,Private,233786,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -32,Private,366876,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,State-gov,183279,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K -41,Federal-gov,29606,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,>50K -24,Local-gov,137300,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -45,Private,184070,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -48,Private,188610,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -20,Private,41356,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -51,Private,145409,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,?,>50K -24,?,287413,HS-grad,9,Never-married,?,Not-in-family,Black,Male,0,0,60,United-States,<=50K -39,Local-gov,100011,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,38,United-States,<=50K -21,Private,119673,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -49,Private,140782,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,2415,3,United-States,>50K -30,Private,193246,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -68,State-gov,420526,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,5,United-States,<=50K -30,Private,34574,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -32,Self-emp-not-inc,400061,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,15024,0,40,Philippines,>50K -49,Private,107009,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,Portugal,<=50K -24,Private,33551,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -34,Private,121640,Some-college,10,Divorced,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Male,0,0,44,United-States,<=50K -40,Private,179524,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,?,473206,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,32,United-States,<=50K -41,Private,54422,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -23,Private,202416,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -48,Private,158685,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,16,United-States,<=50K -56,Self-emp-inc,76534,HS-grad,9,Married-civ-spouse,Exec-managerial,Other-relative,Asian-Pac-Islander,Female,0,0,21,China,<=50K -42,State-gov,218948,Doctorate,16,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,36,Jamaica,<=50K -37,Self-emp-not-inc,175120,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -32,Private,100154,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,El-Salvador,<=50K -29,Private,160510,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,>50K -58,Private,223214,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -40,Private,79488,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,136986,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,52,United-States,>50K -33,Private,202339,11th,7,Never-married,Sales,Unmarried,White,Female,0,0,34,United-States,<=50K -58,Private,205737,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,80145,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -22,?,303579,Some-college,10,Never-married,?,Own-child,White,Male,0,1602,8,United-States,<=50K -47,Private,235108,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -41,State-gov,201363,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,38,United-States,>50K -41,Self-emp-inc,244172,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,>50K -73,?,99349,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,0,15,United-States,<=50K -56,Federal-gov,338242,Assoc-voc,11,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -83,?,29702,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -22,Private,146352,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,60,United-States,<=50K -30,Private,215182,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,?,133456,Assoc-acdm,12,Widowed,?,Not-in-family,White,Female,0,0,50,United-States,<=50K -32,Private,79586,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -27,Private,181822,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,123809,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,35,United-States,>50K -37,Private,35429,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,1506,0,40,United-States,<=50K -48,Private,151584,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,46,United-States,<=50K -42,Private,303725,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Private,194404,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,Local-gov,224229,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -33,Private,236396,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K -25,Private,40255,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -29,State-gov,214881,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Honduras,>50K -47,Private,332465,Some-college,10,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -28,Private,165218,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,55,United-States,<=50K -20,Private,34506,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -30,Local-gov,79190,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Self-emp-not-inc,79001,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,137876,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,20,United-States,<=50K -57,Federal-gov,40103,10th,6,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -24,Self-emp-inc,145964,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,70,United-States,<=50K -32,Private,268282,7th-8th,4,Married-spouse-absent,Farming-fishing,Other-relative,White,Male,0,0,35,Mexico,<=50K -67,Local-gov,272587,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,1086,0,15,United-States,<=50K -22,Private,220993,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,88676,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,185386,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,42,Mexico,<=50K -37,Private,177420,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,>50K -20,?,203353,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,100734,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,State-gov,181119,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,?,172232,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,243678,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Self-emp-inc,170174,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -48,Private,102202,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K -38,Private,249720,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -25,Private,167835,Assoc-voc,11,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K -22,Private,266780,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,24,United-States,<=50K -17,Private,173740,10th,6,Never-married,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K -44,Private,40024,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,52,United-States,>50K -28,Private,193260,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,50,South,>50K -18,Private,175752,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -37,Private,202662,10th,6,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -26,Private,167350,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -43,Private,412379,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,28,United-States,<=50K -23,Self-emp-not-inc,121568,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,1504,40,United-States,<=50K -43,Private,56651,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -45,Private,238567,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -34,Private,144949,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -42,Private,234633,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -22,Private,147397,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,44,United-States,<=50K -38,Private,247547,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Private,266645,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,154897,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,50,United-States,<=50K -44,Private,112507,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -45,Federal-gov,110884,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,45,India,>50K -25,Private,151588,Some-college,10,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Local-gov,217210,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,1887,38,United-States,>50K -22,?,185357,Some-college,10,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K -47,Private,139701,5th-6th,3,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,Dominican-Republic,<=50K -36,Private,50707,Bachelors,13,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,40,United-States,<=50K -48,Private,370119,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2415,50,United-States,>50K -66,Self-emp-not-inc,252842,HS-grad,9,Never-married,Farming-fishing,Other-relative,White,Male,0,0,20,United-States,<=50K -58,Private,106707,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,48,United-States,<=50K -25,Private,149486,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K -30,Private,427541,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Female,99999,0,40,United-States,>50K -51,Self-emp-not-inc,22154,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,144949,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,2559,40,United-States,>50K -20,Private,228686,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -57,Self-emp-not-inc,113010,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -23,Federal-gov,361278,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,20,United-States,<=50K -33,Self-emp-not-inc,109509,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -47,Private,172155,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,37,Ecuador,>50K -54,Private,204304,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -75,Private,233362,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-inc,141609,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -51,Private,179479,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,3325,0,40,Yugoslavia,<=50K -32,Private,193565,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,314539,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,208908,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Self-emp-not-inc,375526,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -31,Private,291494,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -41,Private,117747,Bachelors,13,Divorced,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -56,Private,331569,HS-grad,9,Married-civ-spouse,Sales,Wife,Black,Female,0,0,36,United-States,<=50K -46,Private,146786,10th,6,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -59,Private,147098,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -31,Private,137076,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,223811,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,23,United-States,<=50K -69,Private,172354,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,White,Female,1848,0,50,United-States,<=50K -35,Private,154410,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -58,Private,277203,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,United-States,<=50K -21,Private,97295,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -60,Private,95680,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,45,United-States,>50K -29,Private,328981,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -29,Self-emp-not-inc,75435,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -53,Private,116288,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -43,Federal-gov,136105,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,1848,40,United-States,>50K -55,Local-gov,134042,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -29,Private,253003,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,2258,45,United-States,>50K -37,Private,193106,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -37,Private,117528,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,194537,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Private,195820,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -41,Private,265671,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -18,?,90636,Some-college,10,Never-married,?,Own-child,Amer-Indian-Eskimo,Female,594,0,40,United-States,<=50K -57,Private,166107,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,?,<=50K -49,Federal-gov,106207,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,187135,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,56,United-States,<=50K -44,Private,231793,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,52,United-States,<=50K -20,?,228326,Some-college,10,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K -36,Self-emp-not-inc,125933,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5178,0,50,United-States,>50K -29,Local-gov,211032,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,>50K -51,Local-gov,125796,11th,7,Never-married,Farming-fishing,Not-in-family,Black,Female,0,0,40,United-States,<=50K -19,Private,29526,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K -53,Private,158993,10th,6,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -43,Private,116379,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,China,>50K -42,Private,201343,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2885,0,40,United-States,<=50K -44,Private,402718,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -37,Self-emp-inc,98360,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Self-emp-not-inc,285580,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,25,United-States,<=50K -27,?,119851,Some-college,10,Divorced,?,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -30,Private,325509,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -56,Private,204745,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,3325,0,45,United-States,<=50K -58,Private,152874,Some-college,10,Widowed,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -20,Private,139715,HS-grad,9,Never-married,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,Private,141584,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -26,Private,156848,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,40151,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -24,Private,50648,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K -26,Private,122920,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,56,United-States,<=50K -19,Local-gov,91571,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -21,Private,227220,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,33,United-States,<=50K -43,State-gov,344519,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -20,Private,133061,Some-college,10,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K -47,Private,219054,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -62,Local-gov,194276,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -46,Self-emp-inc,168211,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,60,United-States,<=50K -54,Local-gov,220054,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -43,Self-emp-inc,405601,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -34,Private,240979,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,80,United-States,<=50K -47,Local-gov,202606,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -58,Private,220896,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -20,Private,24274,HS-grad,9,Never-married,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K -26,Private,263444,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,14344,0,40,United-States,>50K -51,Local-gov,99064,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -53,Private,203967,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -53,State-gov,94186,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,37,United-States,<=50K -68,?,110931,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,32,United-States,<=50K -46,Local-gov,66934,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K -32,Self-emp-inc,196385,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,47012,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,216013,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -67,Self-emp-not-inc,98921,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,320294,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -27,Private,247102,10th,6,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -65,Private,155632,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,25,United-States,<=50K -22,Self-emp-inc,120753,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -27,Private,213921,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,30,Mexico,<=50K -30,Private,94235,11th,7,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,84141,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,65,United-States,<=50K -35,Private,237943,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,225895,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -36,Local-gov,126569,Bachelors,13,Divorced,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -42,State-gov,172307,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -32,Private,111520,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,34,United-States,<=50K -53,Private,283079,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -41,Private,109969,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -65,Private,146159,7th-8th,4,Widowed,Priv-house-serv,Not-in-family,Black,Female,0,1668,31,United-States,<=50K -22,State-gov,247319,Some-college,10,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Female,0,0,60,United-States,<=50K -65,Local-gov,200764,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,16,United-States,>50K -21,Private,123868,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,137063,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,<=50K -24,Private,112137,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,50,South,<=50K -39,Private,188069,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,15024,0,50,United-States,>50K -52,Private,102828,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -18,Private,187221,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,12,El-Salvador,<=50K -62,Private,343982,10th,6,Widowed,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -28,Self-emp-not-inc,146949,10th,6,Never-married,Sales,Own-child,White,Male,0,0,80,United-States,<=50K -41,Private,150011,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -28,Private,107812,9th,5,Never-married,Transport-moving,Not-in-family,White,Male,6849,0,35,United-States,<=50K -43,Private,207392,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,70,United-States,>50K -61,State-gov,140851,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -26,Private,216842,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,10,United-States,<=50K -34,Private,112115,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,<=50K -21,Local-gov,185279,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -60,Private,194980,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,20,United-States,<=50K -28,Private,189530,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -32,Self-emp-not-inc,38158,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,7298,0,70,United-States,>50K -55,?,246219,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,2105,0,40,United-States,<=50K -51,Private,143822,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,300851,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,56,United-States,<=50K -37,Private,184874,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,1151,0,40,United-States,<=50K -40,Private,83827,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,England,<=50K -44,Private,112847,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -27,Private,581128,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,202652,Assoc-voc,11,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K -40,Private,171888,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,24,United-States,>50K -30,Private,45427,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,70,United-States,<=50K -36,Private,185848,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -74,Private,282553,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Federal-gov,153614,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,65353,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K -44,Private,244172,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Mexico,<=50K -48,Private,148995,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,14084,0,45,United-States,>50K -25,Private,274228,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,65,United-States,<=50K -33,Private,156383,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -49,Private,47403,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K -75,?,226593,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -33,Self-emp-not-inc,94041,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,1974,30,United-States,<=50K -29,Private,271710,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -47,Federal-gov,231797,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,55,United-States,>50K -33,Private,188403,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,44,United-States,<=50K -65,Private,444725,Prof-school,15,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,48,Hungary,>50K -17,Private,242605,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -58,Private,244605,Bachelors,13,Widowed,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -55,Private,335276,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -37,Self-emp-not-inc,284616,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,48,United-States,<=50K -60,Private,162151,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,60358,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -34,Private,151693,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -20,?,369907,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -26,Private,171636,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,72,United-States,<=50K -34,Private,118901,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,State-gov,28419,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -34,Private,608881,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -31,Self-emp-inc,112564,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,40,?,<=50K -25,Private,171472,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K -20,Private,236804,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -38,Private,212252,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -69,Private,119907,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Local-gov,352797,HS-grad,9,Married-spouse-absent,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K -32,Private,97281,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -65,Private,154351,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,2993,0,40,United-States,<=50K -22,Private,117606,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K -25,Private,222089,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,Thailand,<=50K -40,Private,199668,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -29,Local-gov,194869,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -33,Private,283268,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -60,Private,170278,5th-6th,3,Widowed,Sales,Not-in-family,White,Female,0,0,40,Italy,<=50K -28,Federal-gov,90787,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -28,Private,110749,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,39,United-States,<=50K -72,Self-emp-not-inc,173864,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,2290,0,45,United-States,<=50K -35,Private,278442,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,48,United-States,>50K -33,State-gov,162705,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,99,United-States,>50K -36,Private,326352,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -18,Private,105854,HS-grad,9,Never-married,Craft-repair,Other-relative,Other,Male,0,0,32,United-States,<=50K -38,Self-emp-inc,116608,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,20,United-States,>50K -48,Private,182655,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -22,Private,213834,Assoc-voc,11,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -29,Private,42881,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -81,Self-emp-not-inc,240414,Bachelors,13,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,30,United-States,<=50K -19,Private,37688,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -39,Self-emp-not-inc,189922,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -20,?,323309,HS-grad,9,Never-married,?,Own-child,Other,Male,0,0,60,South,<=50K -41,Federal-gov,341638,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,92,United-States,<=50K -50,Private,114758,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -54,Private,288557,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,46,United-States,<=50K -18,?,191817,11th,7,Never-married,?,Own-child,White,Male,0,0,20,Mexico,<=50K -18,Private,222851,11th,7,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K -54,Private,93605,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,263984,Some-college,10,Married-spouse-absent,Exec-managerial,Not-in-family,Black,Male,0,0,40,?,<=50K -21,Private,190916,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -22,Private,384787,9th,5,Never-married,Sales,Other-relative,White,Female,0,0,40,Mexico,<=50K -19,Local-gov,43921,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,183739,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,8,United-States,>50K -37,Private,490871,11th,7,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,25,United-States,<=50K -31,Private,173473,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,45,United-States,>50K -31,Self-emp-not-inc,24504,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -60,Private,113080,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,197093,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -65,Private,56924,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,10,United-States,<=50K -33,Federal-gov,207723,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,?,<=50K -32,Private,327902,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,197860,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,Haiti,<=50K -53,Private,95647,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -50,Private,98227,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,430151,11th,7,Never-married,Craft-repair,Unmarried,White,Male,0,0,30,United-States,<=50K -60,Private,73069,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -32,Private,101345,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,1741,40,United-States,<=50K -36,Private,196123,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,>50K -20,Private,24008,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,67433,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -35,?,224466,HS-grad,9,Never-married,?,Other-relative,Black,Male,0,0,24,United-States,<=50K -29,Private,292120,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -52,Private,198362,Bachelors,13,Never-married,Sales,Other-relative,White,Female,0,0,25,United-States,<=50K -41,Private,231507,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,216178,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -52,?,91447,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,2205,8,United-States,<=50K -40,Private,232820,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -40,Private,53956,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -22,Private,155913,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,18,United-States,<=50K -69,Private,104827,HS-grad,9,Widowed,Tech-support,Unmarried,White,Female,0,0,8,United-States,<=50K -28,Private,197222,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,38,United-States,<=50K -57,Private,255406,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,1980,44,United-States,<=50K -54,Federal-gov,278076,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K -41,Local-gov,231348,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,196286,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,76417,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -39,Self-emp-inc,190964,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3137,0,42,United-States,<=50K -57,Federal-gov,239486,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,45,United-States,>50K -18,Private,101709,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,15,United-States,<=50K -53,Private,120914,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,60722,HS-grad,9,Divorced,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -28,Private,257405,5th-6th,3,Never-married,Farming-fishing,Unmarried,Black,Male,0,0,40,Mexico,<=50K -61,Private,32209,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2051,40,United-States,<=50K -45,Private,431245,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -52,Self-emp-not-inc,95082,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -57,Private,220986,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -40,Private,87771,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -72,Self-emp-inc,199233,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2377,35,United-States,>50K -23,Private,133515,Bachelors,13,Never-married,Sales,Unmarried,White,Female,0,0,20,United-States,<=50K -46,Private,117310,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,36,United-States,<=50K -51,Private,163027,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,20,United-States,<=50K -46,Private,169711,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -43,Private,91317,Assoc-acdm,12,Never-married,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,106159,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -53,Local-gov,177063,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -31,Private,175059,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,129573,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K -59,Private,169611,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,247506,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,37085,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -25,Private,202033,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -26,Private,179864,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -51,State-gov,88020,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K -28,?,243190,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,0,0,30,?,<=50K -33,Private,102270,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K -25,Private,81286,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,2174,0,40,United-States,<=50K -23,?,205690,Assoc-voc,11,Never-married,?,Unmarried,Black,Male,0,0,40,United-States,<=50K -35,State-gov,37314,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,29213,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -43,Self-emp-not-inc,451019,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -49,Self-emp-inc,125892,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -45,Private,259412,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -49,Federal-gov,207540,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -38,Private,110167,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,430336,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,7688,0,45,United-States,>50K -39,Self-emp-inc,210610,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,31,Cuba,>50K -26,Private,86483,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,138507,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K -26,Federal-gov,345157,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -71,Local-gov,161342,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,3,United-States,<=50K -27,Private,159109,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,42,United-States,<=50K -34,Private,54608,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Local-gov,433602,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,38,United-States,<=50K -36,Self-emp-not-inc,350103,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,166193,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -41,Federal-gov,56236,HS-grad,9,Divorced,Protective-serv,Unmarried,Black,Male,1506,0,40,United-States,<=50K -47,Private,156926,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -36,Private,26698,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -43,Self-emp-not-inc,75993,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -39,Private,312271,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -35,Private,70282,HS-grad,9,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -22,Private,259109,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,18,United-States,<=50K -45,Private,192360,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -33,Private,373432,Some-college,10,Separated,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K -21,Local-gov,176998,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Federal-gov,32950,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,Self-emp-not-inc,48520,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,80,United-States,<=50K -47,State-gov,237525,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,202746,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,179255,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -47,Self-emp-inc,337825,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -68,Self-emp-not-inc,191517,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,239130,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,2444,40,United-States,>50K -42,Private,233366,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,Other,Male,3103,0,40,Mexico,>50K -36,?,137492,HS-grad,9,Divorced,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -28,Private,66893,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,1564,50,United-States,>50K -61,Private,266646,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,Black,Male,2290,0,40,United-States,<=50K -33,Private,238246,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,Germany,<=50K -23,Private,215616,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -40,Private,148316,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,172402,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -45,Private,195918,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -23,Private,33016,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,267281,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -33,Federal-gov,43608,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -21,Private,57827,HS-grad,9,Widowed,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,110145,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,162884,HS-grad,9,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,60,Columbia,<=50K -43,State-gov,145166,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,84,United-States,<=50K -50,Private,193720,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -48,Private,310639,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -49,Private,196360,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,46,United-States,>50K -28,Private,370675,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1408,50,Hong,<=50K -36,Private,398931,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -28,Local-gov,104329,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K -61,Self-emp-inc,103575,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K -25,State-gov,222800,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,176239,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,321274,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -46,Private,192713,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,?,<=50K -25,Private,407714,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,?,247547,HS-grad,9,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -45,Private,123219,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,165950,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,21,United-States,<=50K -28,Private,182509,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,35,United-States,<=50K -39,Private,27408,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,50,United-States,>50K -33,Private,110592,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -28,State-gov,175409,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,172822,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,15020,0,48,United-States,>50K -21,Private,265361,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -26,State-gov,106491,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,179557,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -63,Private,187919,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,45,United-States,<=50K -45,Private,196707,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -22,Private,216129,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -52,Self-emp-not-inc,100480,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K -57,Self-emp-not-inc,69905,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,15024,0,40,United-States,>50K -38,Private,297767,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,214627,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,45,United-States,>50K -52,Private,251908,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,2547,40,United-States,>50K -55,Self-emp-inc,304695,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -21,Private,48121,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,125228,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -17,Private,408012,12th,8,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -57,Private,161642,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -30,Private,181212,Some-college,10,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K -48,Self-emp-inc,76482,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,295073,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,50,United-States,<=50K -45,?,69596,10th,6,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Private,262461,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -34,Local-gov,112680,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -35,Private,342642,Masters,14,Married-spouse-absent,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,211968,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Local-gov,153536,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,37,United-States,>50K -21,Private,188923,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -30,Private,391114,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,45599,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,?,<=50K -37,Private,119929,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,47,United-States,<=50K -24,Private,130442,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -41,Private,192602,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -61,Private,328881,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -37,Private,165034,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,2002,40,United-States,<=50K -39,Private,93174,HS-grad,9,Divorced,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K -28,Local-gov,205903,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K -24,Self-emp-inc,197496,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -29,Private,226941,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -61,Private,199193,Assoc-acdm,12,Divorced,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,187870,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -56,Private,364899,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,65,United-States,>50K -28,Private,437994,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,60,United-States,<=50K -24,Private,166827,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -35,Private,207819,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -31,Private,37939,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,43,United-States,<=50K -39,Private,77146,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -35,?,29075,11th,7,Divorced,?,Unmarried,Amer-Indian-Eskimo,Female,0,0,6,United-States,<=50K -20,Private,167868,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -25,Private,150132,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,365881,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,25,United-States,<=50K -37,Private,105044,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -47,Private,145636,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -36,Private,161547,Bachelors,13,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,Federal-gov,77218,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Self-emp-not-inc,241126,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,60,United-States,<=50K -85,Self-emp-inc,155981,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -71,Self-emp-inc,45741,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,20051,0,30,United-States,>50K -23,Private,256356,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -39,State-gov,105803,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K -77,Self-emp-inc,29702,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,>50K -20,Private,107882,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -40,Private,77572,Some-college,10,Divorced,Sales,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -34,Private,209768,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -33,Private,89360,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,5178,0,55,United-States,>50K -34,Self-emp-not-inc,227540,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,60,India,<=50K -36,Private,292570,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,3325,0,40,United-States,<=50K -36,Private,409189,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -32,Local-gov,194901,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2057,70,United-States,<=50K -26,Local-gov,219796,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,43,United-States,<=50K -37,State-gov,117166,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,<=50K -42,Private,228320,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,5178,0,45,United-States,>50K -38,Private,236391,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -48,Private,193451,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,223367,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,33001,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,173858,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,7688,0,35,China,>50K -33,Private,240441,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -26,Private,160264,11th,7,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -25,Private,230403,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -61,Private,154536,10th,6,Widowed,Craft-repair,Unmarried,Black,Female,0,2001,40,United-States,<=50K -44,Self-emp-not-inc,247024,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -65,Self-emp-inc,410199,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,9386,0,35,United-States,>50K -23,Private,191878,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,38,?,<=50K -67,State-gov,54269,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,12,United-States,<=50K -37,Private,205997,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,47343,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,70,United-States,>50K -35,Federal-gov,403489,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,232149,Bachelors,13,Divorced,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -50,?,339547,Some-college,10,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,50,?,<=50K -36,Private,186819,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -20,Private,89991,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,35,United-States,<=50K -32,Private,112139,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -18,Private,244571,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -36,Private,220696,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -50,Private,135102,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -24,Private,209417,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,60,United-States,>50K -43,Private,199689,Bachelors,13,Married-spouse-absent,Sales,Unmarried,White,Female,0,0,20,United-States,<=50K -27,Private,240172,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,?,94492,10th,6,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -29,Private,188564,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,45,United-States,>50K -19,Private,264527,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -38,Private,189922,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -64,Private,182044,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -31,Self-emp-not-inc,271173,Some-college,10,Never-married,Craft-repair,Own-child,Black,Male,4650,0,40,United-States,<=50K -30,Private,203034,Assoc-voc,11,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,100734,Bachelors,13,Married-civ-spouse,Exec-managerial,Other-relative,White,Female,0,0,40,Greece,>50K -33,Private,169269,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,Puerto-Rico,>50K -59,Private,24244,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,132222,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,199118,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,4865,0,40,United-States,<=50K -34,Private,223212,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Peru,<=50K -27,Private,284859,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,112854,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,35,United-States,<=50K -41,Federal-gov,92968,Masters,14,Never-married,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K -36,Private,181553,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -25,Private,266668,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,20,United-States,<=50K -33,Private,29144,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -26,Self-emp-not-inc,389856,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -42,Private,111589,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,232938,Some-college,10,Never-married,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K -45,Private,103540,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K -59,Private,249814,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K -26,Private,30776,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -20,Private,184779,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Self-emp-not-inc,93449,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -32,Local-gov,178107,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,198956,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Other,Male,0,0,35,United-States,<=50K -53,Private,130143,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -47,Private,171807,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,?,436431,Preschool,1,Married-civ-spouse,?,Other-relative,White,Female,0,0,40,Mexico,<=50K -17,Private,162205,10th,6,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,15,United-States,<=50K -48,Private,97470,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -32,Self-emp-not-inc,158603,Assoc-voc,11,Never-married,Sales,Unmarried,White,Female,0,0,7,United-States,<=50K -58,Private,348430,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -72,Private,109385,1st-4th,2,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,36,United-States,<=50K -45,Private,188998,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K -41,Private,210591,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -66,Self-emp-not-inc,37170,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,42,United-States,>50K -34,Private,169583,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -33,Private,180624,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -47,Private,186311,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -35,Private,106471,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -27,Private,37302,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,91608,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,263896,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -25,Private,335376,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K -38,Private,186531,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,State-gov,42706,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -29,Private,180115,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,45,United-States,<=50K -42,Private,191196,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,209109,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,199224,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -65,State-gov,42488,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,2653,0,8,United-States,<=50K -19,Self-emp-not-inc,63574,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,227943,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -54,Private,297551,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -46,Private,343579,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,77,United-States,<=50K -34,Private,230246,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,2202,0,99,United-States,<=50K -57,Self-emp-not-inc,110199,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -32,Private,178691,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,45,United-States,<=50K -36,Self-emp-not-inc,165855,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Germany,<=50K -34,Private,27565,Assoc-voc,11,Married-civ-spouse,Craft-repair,Wife,Amer-Indian-Eskimo,Female,0,0,27,United-States,>50K -54,Private,220115,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1628,40,United-States,<=50K -34,Private,113751,11th,7,Divorced,Sales,Own-child,Black,Female,0,0,37,United-States,<=50K -72,Private,128793,5th-6th,3,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,36,United-States,<=50K -23,Private,97472,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,153064,5th-6th,3,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,10,Yugoslavia,>50K -57,Private,190488,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -22,Local-gov,326283,Some-college,10,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K -40,Private,61287,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,214288,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,198856,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K -51,Federal-gov,914061,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,44,United-States,>50K -24,Private,186648,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K -49,Private,350759,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -76,?,197988,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -37,Private,188571,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,112776,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -21,Private,100345,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,53,United-States,<=50K -49,Private,291783,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -69,?,156387,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -38,?,295166,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K -44,Private,132849,Masters,14,Never-married,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Private,300497,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Male,0,0,40,United-States,<=50K -54,Private,338089,Masters,14,Separated,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,104257,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -40,Private,112247,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -41,Federal-gov,73070,Masters,14,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K -48,Self-emp-inc,49298,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K -51,Local-gov,289390,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -36,Private,219546,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -35,Private,194490,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,358655,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,>50K -39,Private,286026,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K -55,Private,401473,Masters,14,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -26,Private,197967,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -46,Local-gov,216647,10th,6,Divorced,Protective-serv,Unmarried,White,Female,0,0,20,United-States,<=50K -70,Self-emp-not-inc,355536,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,24,United-States,<=50K -20,Private,193130,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -46,Self-emp-inc,67725,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,10,United-States,<=50K -35,Private,209629,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,143964,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -57,Self-emp-inc,249072,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,60,United-States,>50K -64,?,285742,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K -63,Self-emp-not-inc,130221,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -21,Federal-gov,201815,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,30,United-States,<=50K -43,Local-gov,67243,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K -35,Private,202263,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,38,United-States,<=50K -21,Private,122048,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,29,United-States,<=50K -23,Private,231866,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,38,United-States,<=50K -35,Private,211440,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -28,Private,25955,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -61,?,274499,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,305474,10th,6,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Haiti,<=50K -73,Local-gov,222702,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,5,United-States,<=50K -33,State-gov,120460,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,31657,Assoc-voc,11,Separated,Other-service,Not-in-family,White,Female,0,0,34,United-States,<=50K -19,Private,327079,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -42,Private,234633,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,47,United-States,<=50K -27,Private,203776,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,45,United-States,>50K -24,Self-emp-inc,242138,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -19,Private,276937,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -36,Private,117528,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -41,Self-emp-not-inc,171351,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -43,Private,138471,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Local-gov,329341,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -57,Private,62539,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,1876,38,United-States,<=50K -58,Private,265579,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,218215,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -39,Federal-gov,116369,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,<=50K -24,Private,403107,Preschool,1,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,Mexico,<=50K -29,State-gov,103389,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,4787,0,40,United-States,>50K -26,State-gov,624006,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,344094,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -67,Self-emp-inc,147377,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -49,Private,90579,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,5013,0,50,United-States,<=50K -47,Private,91972,HS-grad,9,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,35,United-States,>50K -59,Self-emp-not-inc,275236,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -23,Private,340432,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,158592,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,50,United-States,>50K -48,Private,278303,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -33,Self-emp-not-inc,300681,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,?,<=50K -37,Private,160192,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,6849,0,80,United-States,<=50K -29,Private,148429,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -24,Private,210474,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -41,Private,510072,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -21,Self-emp-not-inc,328906,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,4865,0,35,United-States,<=50K -26,Private,247196,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -54,Private,178839,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,40,England,>50K -60,Private,178764,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K -38,Private,218490,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,44047,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Local-gov,125268,Bachelors,13,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -37,Local-gov,76845,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,?,<=50K -37,Local-gov,484475,Bachelors,13,Never-married,Other-service,Not-in-family,Black,Male,0,0,60,United-States,<=50K -22,Private,114357,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -33,Private,219619,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -22,?,33016,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -47,Local-gov,319205,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -54,?,389182,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,60,Germany,<=50K -34,Private,262118,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -50,Private,141340,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,189703,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,32,United-States,<=50K -41,?,307589,Bachelors,13,Married-civ-spouse,?,Wife,Asian-Pac-Islander,Female,0,0,5,Philippines,<=50K -29,Private,116531,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,142621,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Self-emp-inc,327573,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,24896,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -36,Private,69251,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -38,Private,91716,11th,7,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,93717,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -38,Self-emp-not-inc,111499,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K -41,?,193537,Assoc-acdm,12,Divorced,?,Unmarried,White,Female,0,0,10,Dominican-Republic,<=50K -24,Private,307267,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Private,249196,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -64,?,201700,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,188644,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,Mexico,<=50K -32,Private,255004,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -34,Private,100145,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K -18,Private,183274,11th,7,Never-married,Other-service,Own-child,White,Female,594,0,30,United-States,<=50K -45,Self-emp-not-inc,44671,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,354351,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,346189,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -49,Private,304864,Some-college,10,Divorced,Tech-support,Unmarried,Black,Female,0,0,35,United-States,<=50K -68,Self-emp-inc,505365,Bachelors,13,Separated,Sales,Unmarried,White,Male,0,0,70,Canada,<=50K -18,State-gov,268520,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -27,State-gov,210295,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,103339,10th,6,Never-married,Sales,Own-child,White,Female,0,1719,16,United-States,<=50K -33,Private,145437,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -48,Private,56071,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -34,Private,233729,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,50,United-States,>50K -41,Private,265932,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -74,Private,154347,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,10,United-States,<=50K -40,Private,277507,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,0,1669,40,United-States,<=50K -53,Federal-gov,172898,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -47,Private,182655,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,52,United-States,>50K -20,?,175431,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,181460,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,37,United-States,<=50K -38,Private,149771,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K -44,Private,45363,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,44,United-States,>50K -48,Private,180010,Some-college,10,Separated,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -36,?,103886,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -20,Private,233198,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -47,Federal-gov,124974,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -61,?,29059,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,12,United-States,<=50K -34,Private,136331,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -43,Private,106900,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -25,Self-emp-not-inc,314464,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -51,State-gov,152810,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -50,State-gov,76728,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,39,United-States,<=50K -42,Private,55854,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,36801,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,18,United-States,<=50K -51,?,243631,HS-grad,9,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,2105,0,20,South,<=50K -46,Local-gov,155654,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,173987,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K -18,Private,115725,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -21,Private,154556,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,?,<=50K -33,Self-emp-not-inc,234976,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -27,Private,122913,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -36,Local-gov,187411,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -31,Private,193285,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,?,96219,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,50,United-States,<=50K -20,Private,117767,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -45,Self-emp-inc,81534,HS-grad,9,Never-married,Sales,Unmarried,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -22,Private,202125,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -40,Local-gov,225660,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,State-gov,203279,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,20,India,<=50K -40,Self-emp-not-inc,151960,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,38,United-States,<=50K -48,Private,368561,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,37,United-States,>50K -30,Private,202046,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,20,United-States,<=50K -61,Private,197286,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -49,Self-emp-not-inc,285570,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -22,Private,380899,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,325217,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,32,United-States,<=50K -26,Private,111058,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -27,State-gov,162312,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,50,South,<=50K -41,Self-emp-inc,136986,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -33,Federal-gov,97654,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,229116,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K -43,Private,159549,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K -29,Private,195760,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K -44,Self-emp-inc,277788,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,Portugal,>50K -37,State-gov,120201,Some-college,10,Divorced,Adm-clerical,Own-child,Other,Female,0,0,40,United-States,<=50K -24,Private,236601,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,2339,43,United-States,<=50K -65,?,94809,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,219757,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -35,Local-gov,160728,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -39,Private,308945,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,50,United-States,<=50K -47,Self-emp-not-inc,185859,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,3103,0,60,United-States,>50K -47,?,163748,Masters,14,Divorced,?,Unmarried,White,Female,0,0,35,?,<=50K -51,State-gov,48358,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,52,United-States,>50K -38,Federal-gov,77792,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,56,United-States,<=50K -44,Private,114753,Some-college,10,Widowed,Tech-support,Unmarried,White,Female,0,0,38,United-States,<=50K -24,Private,234259,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -41,Private,152617,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,204567,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -60,Self-emp-not-inc,145209,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -40,Private,240698,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -72,?,195181,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K -27,Private,299536,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,55,United-States,<=50K -36,Private,238802,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K -44,Private,150519,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,State-gov,237903,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Self-emp-not-inc,257940,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,383670,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K -44,Private,179666,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,259727,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -52,Federal-gov,277772,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -51,Self-emp-not-inc,67198,Assoc-acdm,12,Widowed,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -41,Private,22419,9th,5,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,84,United-States,<=50K -42,Private,99373,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Federal-gov,147629,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,35,United-States,>50K -31,Self-emp-not-inc,145714,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -30,Private,49358,12th,8,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K -21,Private,214956,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,30,United-States,<=50K -29,Private,66172,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Local-gov,136749,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -27,?,258231,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,35,?,<=50K -19,Private,43937,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -33,Self-emp-not-inc,114639,11th,7,Never-married,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K -72,Self-emp-not-inc,104090,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Scotland,<=50K -21,Private,137510,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,Germany,<=50K -23,Private,123586,Some-college,10,Never-married,Adm-clerical,Own-child,Other,Male,0,0,25,United-States,<=50K -45,Private,293628,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,Philippines,>50K -37,Federal-gov,239409,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -37,Self-emp-inc,593246,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,>50K -36,Private,30269,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,7298,0,32,United-States,>50K -31,Private,48456,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -63,Private,153894,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,24,Puerto-Rico,<=50K -24,Private,182117,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,28,United-States,<=50K -29,Private,231148,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -53,Private,184176,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -40,Self-emp-not-inc,29702,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,85,United-States,<=50K -40,Private,276759,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,60,United-States,>50K -36,Private,179731,HS-grad,9,Never-married,Priv-house-serv,Other-relative,White,Female,0,0,20,?,<=50K -64,Private,234570,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,143485,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -20,Private,143062,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,146516,Some-college,10,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,48,United-States,<=50K -19,?,180395,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,36,United-States,<=50K -32,Private,108256,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -25,Private,211392,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K -26,Federal-gov,271243,12th,8,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,Haiti,<=50K -25,Local-gov,197822,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -40,Self-emp-not-inc,167678,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Dominican-Republic,>50K -30,Private,30101,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -46,Local-gov,232220,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -29,?,212588,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,53,United-States,<=50K -35,Private,306156,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -30,Self-emp-not-inc,70985,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,75,United-States,<=50K -58,Private,185459,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,91141,10th,6,Never-married,Sales,Own-child,White,Male,0,0,8,United-States,<=50K -42,Private,347653,Bachelors,13,Divorced,Other-service,Unmarried,White,Male,0,0,60,United-States,<=50K -31,Private,189759,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,272792,Bachelors,13,Divorced,Craft-repair,Not-in-family,Black,Female,0,0,40,United-States,<=50K -27,?,95708,11th,7,Divorced,?,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -71,?,111712,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K -32,Private,132767,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -62,Self-emp-not-inc,162245,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -78,Self-emp-not-inc,152148,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K -54,?,186565,Masters,14,Divorced,?,Not-in-family,White,Male,0,0,1,United-States,<=50K -22,Private,193385,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -31,Private,185778,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K -32,Private,162370,Masters,14,Separated,Prof-specialty,Not-in-family,White,Female,0,0,35,Iran,<=50K -38,Private,340763,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Male,0,2339,47,United-States,<=50K -77,Private,148949,10th,6,Married-civ-spouse,Other-service,Husband,Black,Male,3818,0,30,United-States,<=50K -62,Self-emp-not-inc,147393,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -33,Local-gov,187203,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -40,Local-gov,147206,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -65,Private,228182,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -31,Private,177426,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -32,?,161288,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,<=50K -32,Private,133530,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K -45,Private,117849,11th,7,Married-civ-spouse,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K -70,Private,132670,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,9386,0,4,United-States,>50K -38,Self-emp-inc,98360,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -37,Private,226500,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,35644,Assoc-voc,11,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -34,Private,49325,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -19,Private,142738,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,14084,0,20,United-States,>50K -54,Self-emp-not-inc,207841,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -32,Private,269355,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,50,United-States,>50K -32,Self-emp-inc,190290,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -24,Private,209034,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -35,Private,174571,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -28,Private,198583,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,35,United-States,<=50K -28,Private,128055,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -41,Private,319271,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,91857,HS-grad,9,Divorced,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -21,Private,376416,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -31,Local-gov,323829,HS-grad,9,Divorced,Protective-serv,Other-relative,White,Male,0,0,45,United-States,<=50K -22,Private,209646,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,6,United-States,<=50K -28,State-gov,90872,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -52,Private,287454,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K -23,Private,208946,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -37,Local-gov,130805,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,99,United-States,>50K -23,Private,247090,9th,5,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,55,United-States,<=50K -21,Private,249150,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K -57,Private,187138,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,166497,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,60,United-States,>50K -50,Private,155433,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -45,State-gov,164593,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,?,<=50K -37,Private,211168,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,35,United-States,<=50K -24,Self-emp-not-inc,162688,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -58,Local-gov,185072,Bachelors,13,Separated,Prof-specialty,Unmarried,Black,Female,0,0,40,Jamaica,>50K -50,Private,154153,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -58,Self-emp-not-inc,166258,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -31,Self-emp-not-inc,190650,Masters,14,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -60,State-gov,165792,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,8,United-States,<=50K -61,Private,313170,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,188279,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Thailand,<=50K -27,Self-emp-not-inc,209301,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -37,Private,194820,HS-grad,9,Separated,Craft-repair,Unmarried,White,Female,0,0,42,United-States,<=50K -36,Private,171393,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K -31,Private,268282,7th-8th,4,Married-civ-spouse,Farming-fishing,Other-relative,White,Male,0,0,35,Mexico,<=50K -23,Private,219519,Some-college,10,Never-married,Sales,Not-in-family,Black,Female,0,0,30,United-States,<=50K -44,State-gov,369131,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -21,Private,195571,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -57,Private,114686,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,2202,0,44,United-States,<=50K -24,Private,356861,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,156848,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -66,Private,147766,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -60,Local-gov,134768,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -52,Self-emp-not-inc,156882,Some-college,10,Married-civ-spouse,Sales,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -21,Private,131404,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,United-States,<=50K -32,Self-emp-inc,233727,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,60,United-States,>50K -21,?,216867,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,40,Mexico,<=50K -48,Private,168556,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -63,Private,60459,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K -42,Private,212894,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,23,United-States,>50K -17,Private,41865,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,5,United-States,<=50K -30,Private,175413,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,35,United-States,<=50K -33,Private,149902,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -55,Private,180497,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,0,0,52,United-States,<=50K -39,Self-emp-not-inc,107302,Bachelors,13,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,35,United-States,>50K -33,Private,93283,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,264351,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -59,State-gov,136819,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,8,United-States,>50K -32,Self-emp-not-inc,295010,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -62,Private,291904,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,Black,Female,0,0,20,United-States,<=50K -21,Self-emp-inc,225442,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -57,State-gov,170108,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K -19,Private,193859,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,2176,0,35,Germany,<=50K -38,Local-gov,326701,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,>50K -38,State-gov,196373,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K -20,Private,258730,HS-grad,9,Never-married,Priv-house-serv,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,190293,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Local-gov,170263,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,30,United-States,>50K -24,Private,300275,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,State-gov,255254,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,37,United-States,<=50K -51,Private,166461,11th,7,Divorced,Machine-op-inspct,Unmarried,Black,Female,5455,0,40,United-States,<=50K -27,Private,96219,HS-grad,9,Divorced,Other-service,Own-child,White,Female,3418,0,32,United-States,<=50K -38,Self-emp-inc,186845,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,99697,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -42,Private,143069,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -53,Private,117674,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -35,Private,261504,HS-grad,9,Married-spouse-absent,Transport-moving,Other-relative,White,Female,0,0,40,Dominican-Republic,<=50K -37,Private,29660,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,202560,Assoc-acdm,12,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,>50K -27,Private,178713,11th,7,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K -34,Private,100734,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,112009,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -69,Private,144056,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -47,Private,70209,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,143816,Some-college,10,Never-married,Machine-op-inspct,Other-relative,Black,Male,0,0,30,United-States,<=50K -23,?,164732,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,10,United-States,<=50K -30,State-gov,714597,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,45,United-States,<=50K -71,Private,187703,Assoc-voc,11,Widowed,Prof-specialty,Unmarried,White,Female,11678,0,38,United-States,>50K -53,Private,418901,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K -22,Private,169188,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -47,Private,70554,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -28,Private,31801,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,50,United-States,>50K -25,Self-emp-not-inc,195000,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,215392,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,7298,0,45,United-States,>50K -33,Private,97723,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,121012,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -19,Private,218956,12th,8,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,171003,7th-8th,4,Never-married,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -20,Self-emp-inc,154782,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K -27,?,132372,HS-grad,9,Never-married,?,Unmarried,White,Female,0,0,40,?,<=50K -18,?,151404,11th,7,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -53,Private,816750,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,72,United-States,>50K -67,Private,92943,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,21,United-States,<=50K -47,?,104489,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,<=50K -55,Self-emp-not-inc,218456,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,Hungary,<=50K -39,Private,301614,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,307134,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,<=50K -37,State-gov,106347,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,<=50K -36,Private,127961,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -32,Self-emp-inc,206297,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -20,Private,171156,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -31,Private,104729,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,35,Mexico,<=50K -47,Private,85109,Some-college,10,Never-married,Sales,Not-in-family,White,Male,13550,0,45,United-States,>50K -25,Private,199143,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,110371,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,250782,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,281574,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,6849,0,43,United-States,<=50K -28,Private,147889,10th,6,Married-AF-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -36,Private,298753,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -55,Private,248841,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -51,Self-emp-inc,274948,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -22,Private,41763,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,42,United-States,<=50K -27,?,176683,Some-college,10,Never-married,?,Own-child,White,Male,0,1719,40,United-States,<=50K -37,Private,385251,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -23,Private,145964,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -61,Private,33460,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -46,State-gov,121586,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Federal-gov,112008,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,Germany,<=50K -24,Private,163053,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,36,United-States,<=50K -21,?,34446,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -33,Self-emp-not-inc,147201,Bachelors,13,Separated,Prof-specialty,Own-child,Black,Male,0,0,35,United-States,<=50K -60,Private,491214,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -36,Private,102729,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,>50K -37,?,70282,HS-grad,9,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -48,Self-emp-inc,216214,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K -43,Private,212206,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -53,Local-gov,235567,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,356410,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,99999,0,40,United-States,>50K -26,Private,223558,HS-grad,9,Never-married,Tech-support,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -63,Federal-gov,160473,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,150999,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -41,Private,230961,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -71,Private,169114,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Male,0,1429,40,United-States,<=50K -39,Private,301070,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -23,Private,163687,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,180419,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,114828,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,4,United-States,<=50K -44,Private,208606,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -19,Private,165977,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -28,Private,110408,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,266047,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -52,Private,176124,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -27,Private,144063,10th,6,Never-married,Craft-repair,Unmarried,White,Male,0,0,75,United-States,<=50K -29,Self-emp-inc,446724,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -59,Private,357118,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,102388,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K -27,Private,191515,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -31,Private,94413,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,3325,0,40,United-States,<=50K -42,Federal-gov,32627,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,45,United-States,>50K -37,Private,218249,11th,7,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -38,Private,308798,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,199005,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -29,State-gov,108432,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,149218,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -26,Private,552529,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,United-States,<=50K -43,Private,222596,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Poland,>50K -31,Private,168961,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -37,Private,206951,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,386236,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,Mexico,<=50K -20,Private,196388,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,25,United-States,<=50K -32,Private,162675,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,Cuba,<=50K -38,Private,187847,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -39,Private,186934,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K -75,?,27663,7th-8th,4,Separated,?,Not-in-family,White,Male,0,0,50,United-States,<=50K -27,Private,180271,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,<=50K -35,Private,215503,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,Canada,<=50K -40,Private,110862,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -28,Private,197905,Some-college,10,Widowed,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K -25,Private,355124,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,2001,40,Mexico,<=50K -29,Self-emp-not-inc,109621,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,194995,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,137136,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,55,United-States,<=50K -47,Private,67229,11th,7,Divorced,Transport-moving,Not-in-family,Black,Female,0,0,40,United-States,<=50K -44,Private,197033,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -27,Local-gov,187746,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,3325,0,25,United-States,<=50K -40,Private,98211,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -25,Private,54298,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -48,Self-emp-not-inc,49275,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1485,50,United-States,<=50K -22,Private,237386,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -40,Private,67243,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,168191,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,2,Italy,<=50K -25,Private,132327,Some-college,10,Separated,Adm-clerical,Other-relative,Other,Female,0,0,40,Ecuador,<=50K -17,Private,175109,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -61,State-gov,224638,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,128487,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -30,Private,179747,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -46,Private,195416,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,44,United-States,>50K -37,Private,176949,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -31,Private,114691,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K -27,State-gov,122540,Some-college,10,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -36,Private,93461,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,30,United-States,<=50K -45,Private,54098,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -22,Private,333838,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,174789,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -70,Private,227515,10th,6,Widowed,Transport-moving,Unmarried,White,Female,0,0,40,Greece,<=50K -45,Federal-gov,391585,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,50,United-States,>50K -23,Private,83315,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,10,United-States,<=50K -22,Private,213310,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -47,Private,127303,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,255476,5th-6th,3,Never-married,Other-service,Other-relative,White,Male,0,0,35,Mexico,<=50K -40,Private,320451,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K -33,Private,454717,Some-college,10,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,374474,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -19,Private,78401,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -58,Private,168887,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -55,Private,254711,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,>50K -23,Private,196678,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -53,Private,217201,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,45,United-States,>50K -24,Private,160398,12th,8,Never-married,Farming-fishing,Own-child,White,Male,0,0,30,United-States,<=50K -43,Private,288829,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,42,United-States,>50K -20,Private,185706,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -22,Private,201615,Assoc-acdm,12,Never-married,Adm-clerical,Other-relative,White,Female,0,0,37,United-States,<=50K -48,Private,157092,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -45,Private,130561,11th,7,Never-married,Sales,Not-in-family,Black,Female,0,0,35,United-States,<=50K -33,Private,202450,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,303942,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Local-gov,339346,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,10520,0,60,United-States,>50K -21,?,234838,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -42,Private,38389,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -35,Private,147548,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -62,Self-emp-not-inc,116626,Doctorate,16,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -46,Local-gov,110110,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,65,United-States,>50K -44,Private,230478,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K -28,Private,398220,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -38,Self-emp-not-inc,187346,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -59,Self-emp-not-inc,175827,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,211494,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,1980,55,United-States,<=50K -59,Private,105745,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -55,Private,237428,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,1504,40,United-States,<=50K -40,Private,200766,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,14344,0,40,United-States,>50K -22,State-gov,24896,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K -35,Private,107164,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -42,Private,202083,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Canada,<=50K -45,State-gov,53768,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,70,United-States,<=50K -48,Private,159577,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -76,?,209674,7th-8th,4,Divorced,?,Not-in-family,White,Female,0,0,7,United-States,<=50K -21,Private,309348,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,18,United-States,<=50K -31,Private,206046,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -65,Self-emp-not-inc,227531,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -46,Self-emp-not-inc,135339,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,45,India,>50K -18,Private,155503,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -65,Self-emp-not-inc,176835,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,7978,0,40,United-States,<=50K -18,Private,163067,Some-college,10,Never-married,Protective-serv,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,212607,Some-college,10,Never-married,Adm-clerical,Unmarried,Other,Female,0,0,44,Puerto-Rico,<=50K -53,Self-emp-inc,162381,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K -34,Private,195890,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -33,Federal-gov,49358,10th,6,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -28,Private,136077,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Poland,<=50K -43,Private,119297,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,48947,Assoc-voc,11,Widowed,Other-service,Unmarried,White,Female,0,0,13,United-States,<=50K -49,Self-emp-not-inc,32825,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K -21,State-gov,82847,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -61,Private,119684,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -54,Private,264143,9th,5,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,24,United-States,<=50K -45,Private,30690,7th-8th,4,Never-married,Other-service,Not-in-family,White,Male,0,0,10,United-States,<=50K -24,Private,113631,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,366889,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,393962,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -48,Private,165484,Bachelors,13,Separated,Sales,Not-in-family,White,Male,0,0,65,United-States,>50K -40,Federal-gov,90737,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1887,40,United-States,>50K -34,Private,379798,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -29,Private,190911,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,72887,11th,7,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -65,Private,192309,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -58,Self-emp-not-inc,98361,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,121253,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Female,0,0,29,United-States,<=50K -56,State-gov,270859,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,48,United-States,>50K -26,Self-emp-not-inc,223705,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,Columbia,<=50K -45,Private,125892,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K -37,Self-emp-not-inc,202683,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -58,?,99131,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,7298,0,40,United-States,>50K -56,Private,197577,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Without-pay,43627,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K -37,Private,175185,Assoc-voc,11,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,377405,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,20,United-States,<=50K -24,Private,47541,Masters,14,Never-married,Transport-moving,Not-in-family,White,Male,0,0,25,United-States,<=50K -36,Private,218729,Some-college,10,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,30,United-States,>50K -26,Local-gov,197430,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -57,Private,259010,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,84,United-States,<=50K -49,Private,121124,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -21,?,334593,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,374764,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -59,Private,192845,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -36,Private,144524,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Self-emp-inc,136402,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,255847,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K -29,Private,177955,9th,5,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,24,El-Salvador,<=50K -35,Private,151835,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -18,Private,65098,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -27,Self-emp-not-inc,328119,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,Mexico,<=50K -55,Private,125147,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -52,Private,62834,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,20,United-States,>50K -51,State-gov,230095,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K -41,Federal-gov,348059,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K -34,Private,425622,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -25,Local-gov,336320,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,225809,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -80,Private,216073,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,32,United-States,<=50K -27,Private,267912,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,52,Mexico,<=50K -28,Private,108706,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -43,Private,575172,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,32,United-States,>50K -18,Private,311489,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,26,United-States,<=50K -46,Private,189123,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,United-States,>50K -42,Private,95998,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -50,Self-emp-inc,177487,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K -30,Private,213002,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,14,United-States,<=50K -55,Private,272723,7th-8th,4,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -58,Private,84231,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -41,Private,475322,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,1617,35,United-States,<=50K -25,Private,120268,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,1741,40,United-States,<=50K -22,?,60331,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -59,Private,172618,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,56,United-States,<=50K -36,State-gov,173273,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -25,Private,52921,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -19,Private,210364,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -34,Private,87310,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,2174,0,40,United-States,<=50K -51,Private,332489,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,Germany,>50K -31,Private,100333,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,36,United-States,<=50K -21,Private,216867,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -36,?,177974,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,292110,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -39,Federal-gov,219137,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,159589,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2051,40,United-States,<=50K -38,Private,186815,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,43,United-States,<=50K -21,Private,22149,HS-grad,9,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K -22,Private,228724,Assoc-voc,11,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,State-gov,187392,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,105930,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -53,State-gov,182907,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -68,Private,322025,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,5,United-States,<=50K -21,Private,263886,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,20,United-States,<=50K -34,Local-gov,362775,10th,6,Married-civ-spouse,Other-service,Wife,Amer-Indian-Eskimo,Female,0,0,30,United-States,<=50K -53,Private,96062,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -59,?,191665,Some-college,10,Widowed,?,Not-in-family,White,Female,0,2205,40,United-States,<=50K -32,Self-emp-not-inc,159322,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,1980,80,United-States,<=50K -33,Local-gov,163867,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,8,United-States,<=50K -34,Self-emp-not-inc,136204,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,32,United-States,>50K -61,Private,160431,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Private,163324,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -32,?,161309,Prof-school,15,Married-civ-spouse,?,Wife,White,Female,15024,0,50,United-States,>50K -26,Private,208881,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K -37,Self-emp-not-inc,183127,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -41,Private,192225,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -59,Local-gov,222081,Bachelors,13,Never-married,Prof-specialty,Other-relative,Black,Female,0,0,35,United-States,<=50K -28,Private,183627,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -39,Private,187921,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,<=50K -25,Private,25497,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,4101,0,40,United-States,<=50K -45,Private,353824,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -30,Private,250804,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -61,Private,385583,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,84788,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,127704,7th-8th,4,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,?,99208,Preschool,1,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K -45,Private,347993,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,Mexico,<=50K -48,Private,175958,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -36,Self-emp-not-inc,278553,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Black,Male,15024,0,75,United-States,>50K -49,Private,186009,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,43,United-States,<=50K -31,Private,55104,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -65,Local-gov,179411,HS-grad,9,Widowed,Tech-support,Unmarried,White,Female,0,0,35,United-States,<=50K -56,Private,68452,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -38,Local-gov,202027,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -70,Private,113401,10th,6,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,186934,Bachelors,13,Married-civ-spouse,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,>50K -43,Federal-gov,190020,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -28,Private,198493,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,256448,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,15,United-States,<=50K -30,Private,622192,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,6,United-States,<=50K -77,Private,133728,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,181824,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,20,United-States,<=50K -17,Private,286422,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -59,Private,378585,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K -44,Private,121012,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,45,United-States,<=50K -33,Private,164864,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,323,40,United-States,<=50K -17,Private,74706,11th,7,Never-married,Priv-house-serv,Own-child,White,Male,0,0,20,United-States,<=50K -22,Private,185582,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,>50K -43,Private,132633,Some-college,10,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,?,<=50K -42,Federal-gov,230438,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1887,40,United-States,>50K -26,Private,175540,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Local-gov,115304,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,340269,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,45,United-States,<=50K -33,Private,171889,12th,8,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -52,Private,94873,HS-grad,9,Widowed,Other-service,Unmarried,White,Male,0,0,19,United-States,<=50K -34,?,144194,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K -44,Private,141131,12th,8,Divorced,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Female,0,0,40,South,<=50K -25,Private,192735,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,70,United-States,<=50K -33,Self-emp-not-inc,238186,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,98,United-States,<=50K -23,Private,305609,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,52,United-States,<=50K -29,Private,312845,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -21,Private,33884,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,?,264874,Assoc-voc,11,Never-married,?,Other-relative,White,Female,0,0,40,?,<=50K -31,State-gov,268832,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K -42,Private,99651,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -39,Private,257597,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,42,United-States,<=50K -54,Self-emp-inc,195904,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,266497,9th,5,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -63,Private,287972,Bachelors,13,Widowed,Other-service,Other-relative,Black,Female,0,0,20,United-States,<=50K -46,Private,200569,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -62,Local-gov,117292,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,8614,0,45,United-States,>50K -64,?,223075,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,8,United-States,<=50K -54,Private,175339,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -22,Self-emp-inc,333197,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,2205,45,United-States,<=50K -61,Private,53707,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -73,Private,39212,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -52,Private,228500,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,234663,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,60,United-States,<=50K -52,?,88073,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,420040,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,126517,Some-college,10,Separated,Sales,Unmarried,Black,Female,0,0,20,United-States,<=50K -31,Private,238002,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,Mexico,<=50K -53,State-gov,21412,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,147804,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -19,Private,222445,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -36,Private,126675,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -42,Private,301080,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,382532,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -33,Private,232356,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -26,Private,167350,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3137,0,50,United-States,<=50K -28,?,375703,HS-grad,9,Divorced,?,Other-relative,Black,Female,0,1721,40,United-States,<=50K -33,Private,252708,12th,8,Never-married,Sales,Other-relative,White,Female,0,0,40,Mexico,<=50K -33,Private,186824,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,176101,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,175121,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -17,Private,355850,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,1602,15,United-States,<=50K -45,Private,180931,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -45,State-gov,30219,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -41,Federal-gov,350387,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,India,>50K -24,Private,194247,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Private,137653,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -48,Private,131762,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -31,Self-emp-not-inc,283587,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -33,Self-emp-inc,218164,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,55,United-States,>50K -41,Private,287581,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,45,United-States,>50K -41,Private,281725,5th-6th,3,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Mexico,<=50K -63,Private,50120,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1573,25,United-States,<=50K -39,Private,156667,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,18,United-States,<=50K -28,Private,566066,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,45,United-States,<=50K -42,Private,121352,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,?,>50K -18,Private,260977,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -22,Private,90860,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -42,Private,218302,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -47,Private,170142,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -33,Local-gov,171889,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Female,0,0,43,United-States,<=50K -34,Private,193172,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -18,Private,164134,HS-grad,9,Never-married,Tech-support,Own-child,White,Female,0,0,10,United-States,<=50K -66,Private,204283,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -51,?,81169,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,38,United-States,<=50K -39,Private,92143,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,55,United-States,>50K -35,Private,181099,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -56,State-gov,102791,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -46,Local-gov,364548,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,42,United-States,>50K -21,Self-emp-inc,153516,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -58,Self-emp-not-inc,189528,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,84,United-States,<=50K -66,Local-gov,154171,Some-college,10,Widowed,Machine-op-inspct,Not-in-family,White,Male,0,0,20,United-States,<=50K -25,Private,90752,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -57,Private,278763,Assoc-voc,11,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,47,United-States,<=50K -28,Private,253581,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,59660,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -57,Self-emp-not-inc,170988,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -18,?,160984,11th,7,Never-married,?,Own-child,White,Female,0,0,6,United-States,<=50K -24,Private,493732,1st-4th,2,Never-married,Farming-fishing,Own-child,White,Female,0,0,40,Mexico,<=50K -36,Private,325802,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,196344,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Guatemala,<=50K -32,State-gov,316589,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -35,Self-emp-inc,365739,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -40,Private,309990,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,241852,12th,8,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -41,Private,184105,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -50,Private,134680,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,274545,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -36,Private,207853,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,65,United-States,>50K -25,Private,284061,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -62,Private,186446,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,43,United-States,<=50K -22,Private,255575,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -52,Federal-gov,302661,Assoc-acdm,12,Widowed,Exec-managerial,Unmarried,White,Male,13550,0,40,United-States,>50K -52,Private,148509,10th,6,Married-spouse-absent,Prof-specialty,Other-relative,Asian-Pac-Islander,Male,0,0,45,?,<=50K -48,Private,211239,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,60,United-States,>50K -70,Private,50468,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,3175,15,United-States,<=50K -41,Private,316820,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K -21,Private,145964,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,60,United-States,>50K -39,Private,185084,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K -29,Private,183111,Assoc-voc,11,Never-married,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K -28,Private,63042,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K -31,Private,339738,HS-grad,9,Married-civ-spouse,Transport-moving,Other-relative,Black,Male,0,0,40,United-States,<=50K -23,Private,273049,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -54,State-gov,239256,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -73,Self-emp-not-inc,110102,HS-grad,9,Widowed,Farming-fishing,Not-in-family,White,Male,0,1668,77,United-States,<=50K -29,State-gov,165764,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,35,United-States,<=50K -22,Private,152744,Some-college,10,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,10,United-States,<=50K -57,Local-gov,212303,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -41,Self-emp-not-inc,118544,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K -39,Private,269548,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,70,Mexico,<=50K -25,State-gov,319303,Some-college,10,Divorced,Other-service,Unmarried,White,Male,0,2472,40,United-States,>50K -74,Without-pay,216001,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -45,Private,205816,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K -18,Private,427437,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K -24,Private,198259,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -45,Private,54314,9th,5,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -32,Private,195744,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Local-gov,294547,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,48,United-States,<=50K -50,Private,77521,11th,7,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,288158,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,125010,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,45,United-States,<=50K -32,Private,80945,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Nicaragua,>50K -21,Private,33016,10th,6,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,25,United-States,<=50K -42,Private,388725,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -37,Local-gov,347136,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,44,United-States,<=50K -53,Self-emp-inc,158294,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,99999,0,75,United-States,>50K -34,Private,362787,10th,6,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -29,Private,39388,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Private,322691,Masters,14,Widowed,Exec-managerial,Own-child,White,Male,0,0,62,United-States,>50K -29,Private,31659,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,2202,0,45,United-States,<=50K -70,Private,176940,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,16,United-States,<=50K -26,Local-gov,189027,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,98719,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -58,Private,172238,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -23,?,170456,Some-college,10,Never-married,?,Own-child,White,Male,0,0,5,United-States,<=50K -27,Private,129009,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -17,Private,247580,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,18,United-States,<=50K -29,Private,204516,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,52,United-States,<=50K -26,Private,192652,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,20,United-States,<=50K -31,Private,336543,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,45,United-States,>50K -29,?,143938,HS-grad,9,Separated,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -22,Private,272591,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,30,United-States,<=50K -28,Local-gov,312372,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K -28,Local-gov,172270,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -20,Private,342414,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,24,United-States,<=50K -58,Private,123886,HS-grad,9,Never-married,Sales,Other-relative,Black,Female,0,0,40,United-States,<=50K -23,Private,398130,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,96,United-States,<=50K -34,Private,142989,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,331539,HS-grad,9,Never-married,Craft-repair,Not-in-family,Other,Male,0,0,40,United-States,<=50K -19,Private,225156,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -18,?,311863,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -35,Local-gov,170682,11th,7,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,32,United-States,<=50K -21,Private,96178,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -20,?,37932,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -49,Private,198126,7th-8th,4,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,344275,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,?,>50K -37,Private,112497,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -36,Private,178487,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,1669,40,United-States,<=50K -44,Private,55395,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -39,Local-gov,131239,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,104772,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3908,0,40,United-States,<=50K -53,Private,427320,Bachelors,13,Divorced,Other-service,Not-in-family,Black,Male,3325,0,40,United-States,<=50K -34,?,73296,11th,7,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -24,Private,216853,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,37,United-States,<=50K -40,Private,259757,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -47,Private,200734,HS-grad,9,Separated,Priv-house-serv,Not-in-family,Black,Female,0,0,50,Nicaragua,<=50K -19,?,87515,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,44,Germany,<=50K -18,Private,161245,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,8,United-States,<=50K -32,Private,262024,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,38,United-States,<=50K -21,Private,287681,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Mexico,<=50K -27,Private,303601,12th,8,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -58,?,365410,Some-college,10,Separated,?,Other-relative,White,Female,0,0,99,United-States,<=50K -29,Self-emp-not-inc,394356,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,263150,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K -45,State-gov,86618,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -43,Private,120277,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,45,United-States,<=50K -63,Federal-gov,90393,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,<=50K -26,Self-emp-inc,79078,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -42,State-gov,197344,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,120998,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -36,Private,37522,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -44,Private,96321,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -18,Private,217302,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -69,Private,137109,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,16,United-States,<=50K -40,Private,227823,Assoc-acdm,12,Divorced,Adm-clerical,Own-child,White,Female,0,0,70,United-States,<=50K -37,Private,22149,HS-grad,9,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Male,0,0,18,United-States,<=50K -39,Private,176900,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -57,Private,154368,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -28,Private,183445,HS-grad,9,Separated,Priv-house-serv,Own-child,White,Female,0,0,40,Guatemala,<=50K -23,Private,193537,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K -20,Private,313873,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K -46,Private,34186,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -44,State-gov,271807,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,16,United-States,<=50K -67,?,46449,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -31,Private,128065,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,176486,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,191072,Bachelors,13,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,35,United-States,<=50K -28,Private,34452,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -30,State-gov,123253,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -42,Private,113461,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,Private,116267,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,15,Columbia,<=50K -32,Private,30433,Bachelors,13,Never-married,Tech-support,Other-relative,White,Female,0,0,72,United-States,<=50K -25,Private,198512,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Self-emp-inc,131826,Prof-school,15,Widowed,Prof-specialty,Unmarried,White,Male,99999,0,50,United-States,>50K -35,Private,129764,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -32,Private,49398,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,10520,0,40,United-States,>50K -17,Local-gov,292285,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,25,United-States,<=50K -61,Federal-gov,91726,Masters,14,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -56,Private,178282,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -50,Private,227458,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Male,0,0,51,United-States,<=50K -32,Private,183470,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,42,United-States,<=50K -41,Private,275446,Some-college,10,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -41,Private,328013,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,65,United-States,<=50K -19,Private,382688,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,20,United-States,<=50K -18,Private,122988,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -25,Private,175537,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -21,Private,256278,HS-grad,9,Never-married,Other-service,Other-relative,Other,Female,0,0,35,El-Salvador,<=50K -34,Private,161153,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -31,Private,48189,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K -36,Private,186531,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -19,Private,96866,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,30,United-States,<=50K -35,Private,117555,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -18,?,98549,HS-grad,9,Never-married,?,Own-child,White,Female,0,1602,35,United-States,<=50K -39,Private,101782,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,234753,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,34,United-States,>50K -59,Private,59469,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -28,Private,614113,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,30,United-States,<=50K -47,Private,203505,Doctorate,16,Never-married,Prof-specialty,Own-child,White,Female,0,0,23,United-States,<=50K -27,Private,128365,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -56,Private,36990,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,52,United-States,>50K -18,Private,303240,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -76,?,217043,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -56,Private,176079,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,15024,0,24,United-States,>50K -40,Self-emp-inc,266047,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,>50K -39,Self-emp-inc,285890,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,Haiti,>50K -24,Private,70261,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,214236,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,143385,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -55,Private,150507,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,292264,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -39,Self-emp-inc,110861,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -32,Private,225064,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,154120,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Trinadad&Tobago,<=50K -17,Private,34465,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,32,United-States,<=50K -29,Private,89598,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,2057,35,United-States,<=50K -54,Private,183668,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,189382,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,1504,40,United-States,<=50K -67,?,165103,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,2174,50,United-States,>50K -48,Private,44216,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -17,Private,150471,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -41,Private,32627,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,153109,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,60,United-States,<=50K -29,Private,352451,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -43,Private,176716,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K -46,Federal-gov,171850,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K -42,Private,260496,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -36,Private,154410,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -31,Self-emp-not-inc,23500,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,75,United-States,<=50K -60,Private,178312,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,1902,70,United-States,>50K -50,Private,62593,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -30,Private,123291,Some-college,10,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,313817,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -57,State-gov,229270,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Other,Male,0,1579,37,United-States,<=50K -43,Private,212027,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,38,United-States,<=50K -58,Private,259532,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -26,Local-gov,213258,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,316337,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -38,Private,179123,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -26,Private,191765,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Scotland,<=50K -59,Self-emp-inc,188877,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -41,Private,55395,Some-college,10,Married-spouse-absent,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -21,Private,161051,Some-college,10,Never-married,Tech-support,Own-child,Black,Female,0,0,4,United-States,<=50K -30,Private,241844,HS-grad,9,Separated,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -36,Private,232142,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,80,United-States,<=50K -43,Private,311534,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K -68,Self-emp-not-inc,128986,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -18,Private,67019,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -23,Private,208826,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K -43,Private,256813,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -44,Private,160919,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -43,Private,107584,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -59,Self-emp-inc,159472,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,408318,7th-8th,4,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,25,Mexico,<=50K -61,Private,194956,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -52,State-gov,21764,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -37,Private,277347,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -57,Private,104455,Some-college,10,Married-spouse-absent,Sales,Own-child,Asian-Pac-Islander,Female,0,0,90,United-States,>50K -30,Private,117584,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,20,United-States,<=50K -38,Private,131288,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -46,Private,99014,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -22,Private,141003,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -64,Private,344014,Some-college,10,Divorced,Tech-support,Unmarried,Black,Female,0,1741,40,United-States,<=50K -45,Private,175600,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -31,Local-gov,240504,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,1902,50,United-States,>50K -20,Private,174436,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K -29,Private,194869,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K -23,Private,164901,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,20,United-States,<=50K -62,Private,72886,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-inc,130126,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -42,Self-emp-inc,196514,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,103651,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -25,Private,261419,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -61,Private,206339,10th,6,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,445365,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,227466,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,<=50K -49,Private,96854,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -21,Private,163595,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -22,State-gov,181096,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Male,0,0,20,United-States,<=50K -24,Private,95984,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K -37,Private,472517,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,4,United-States,<=50K -46,Local-gov,60751,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -35,Private,107302,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -41,Private,106501,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -23,Private,32732,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Self-emp-inc,174789,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -39,Private,301628,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -29,Private,27436,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -24,Private,93977,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,139127,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,258231,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Self-emp-not-inc,136309,11th,7,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,266433,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -59,Private,140363,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K -58,Private,179715,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,47,United-States,>50K -55,Private,204816,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -58,Private,35520,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,7688,0,40,United-States,>50K -46,Private,101320,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,42,United-States,>50K -40,Private,210857,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -40,Self-emp-not-inc,60949,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -57,Local-gov,139095,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Private,233493,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1579,40,United-States,<=50K -36,Private,176249,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1590,40,United-States,<=50K -29,Private,187746,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -32,Private,49593,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -24,Self-emp-not-inc,240160,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -63,Private,76286,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,40,India,>50K -23,Private,65225,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -36,Private,225330,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,101562,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,>50K -52,Self-emp-not-inc,27539,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,7688,0,72,United-States,>50K -60,Local-gov,227311,10th,6,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -29,?,51260,HS-grad,9,Never-married,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K -31,Private,256609,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K -35,Local-gov,123939,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Federal-gov,203182,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,2174,0,40,United-States,<=50K -38,Private,111128,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,112451,HS-grad,9,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -44,?,177461,Some-college,10,Divorced,?,Unmarried,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K -24,Private,332155,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,20,United-States,<=50K -42,Local-gov,178983,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,37,United-States,<=50K -54,Private,199392,5th-6th,3,Divorced,Machine-op-inspct,Other-relative,White,Female,0,0,40,Nicaragua,<=50K -19,Private,311015,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,126038,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -21,Private,402124,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,198660,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -26,?,228457,11th,7,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Self-emp-inc,223267,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,78,United-States,<=50K -22,Self-emp-not-inc,249046,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -45,Self-emp-not-inc,127948,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,154785,Some-college,10,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,China,<=50K -28,Private,248404,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -31,Private,137978,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,144778,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -30,Private,133250,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,402771,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,23,United-States,<=50K -47,?,97075,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,116234,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,44,United-States,<=50K -25,Local-gov,262818,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,Guatemala,<=50K -47,Private,138342,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -50,Private,123374,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -23,Private,202373,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,20,United-States,<=50K -54,Self-emp-not-inc,180522,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K -24,Local-gov,140647,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,36,United-States,<=50K -50,Private,136898,Assoc-voc,11,Widowed,Exec-managerial,Unmarried,White,Female,0,0,55,?,<=50K -29,Private,140927,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,114055,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,White,Female,3325,0,40,United-States,<=50K -46,Private,114222,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Self-emp-inc,51089,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -46,Private,37353,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -36,Local-gov,379672,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,60,United-States,<=50K -64,Private,130727,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,2174,0,37,United-States,<=50K -51,Private,172046,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -57,Private,228764,Assoc-voc,11,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -21,Private,376393,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -53,Private,185283,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -61,Self-emp-not-inc,195789,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -50,Private,243115,HS-grad,9,Married-spouse-absent,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -74,Private,147558,Some-college,10,Divorced,Sales,Not-in-family,White,Female,7262,0,30,United-States,>50K -22,State-gov,62865,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K -25,Self-emp-not-inc,275197,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -63,Self-emp-not-inc,124015,Masters,14,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -38,Self-emp-inc,282951,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,105253,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -31,Private,119164,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Male,0,0,40,?,<=50K -35,Self-emp-not-inc,263081,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,84,United-States,<=50K -54,Private,96062,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,44942,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1848,48,United-States,>50K -37,Federal-gov,127879,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K -37,Private,109633,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,109404,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -56,Private,126677,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,40,United-States,>50K -52,Private,101113,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,66,United-States,>50K -40,Private,117523,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,Columbia,<=50K -29,Private,183523,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K -46,Self-emp-not-inc,311231,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,459556,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,50,United-States,<=50K -37,Private,95551,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -36,Private,126675,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -32,Private,200246,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -53,Private,108435,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,Italy,<=50K -18,Private,141332,11th,7,Never-married,Sales,Own-child,Black,Male,0,0,8,United-States,<=50K -48,Private,117310,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K -26,Private,182380,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -64,?,226878,Masters,14,Married-civ-spouse,?,Wife,Black,Female,9386,0,50,Jamaica,>50K -49,Private,123807,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -41,Private,109539,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Local-gov,38455,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,10,United-States,<=50K -56,Private,294209,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,<=50K -33,Private,130215,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,35,?,<=50K -29,Private,285294,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -29,Private,168221,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,288907,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,4787,0,40,United-States,>50K -26,Private,391349,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -32,Private,170276,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,46,United-States,>50K -33,Private,117963,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,55,United-States,<=50K -54,Local-gov,68015,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -20,?,285208,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -33,Private,181091,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,16,United-States,<=50K -44,Self-emp-not-inc,53956,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,57,United-States,<=50K -47,Federal-gov,198223,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -90,Self-emp-not-inc,83601,Prof-school,15,Widowed,Prof-specialty,Not-in-family,White,Male,1086,0,60,United-States,<=50K -26,Self-emp-not-inc,201579,5th-6th,3,Never-married,Prof-specialty,Unmarried,White,Male,0,0,14,Mexico,<=50K -44,Private,137367,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Thailand,<=50K -33,Private,227325,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Male,0,0,60,Scotland,<=50K -28,Private,129814,Some-college,10,Separated,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -26,Private,193050,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,18,United-States,<=50K -33,Private,204557,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,165743,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,48935,Some-college,10,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,30,United-States,<=50K -70,Private,177906,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,6514,0,40,United-States,>50K -18,Private,93985,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -20,Private,148351,7th-8th,4,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,?,<=50K -65,Local-gov,172646,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,145409,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -48,Private,548568,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -47,Private,117849,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,320425,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K -25,Private,158734,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -59,Private,168416,HS-grad,9,Married-spouse-absent,Priv-house-serv,Not-in-family,White,Female,0,0,36,Poland,<=50K -63,Self-emp-not-inc,33487,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,>50K -34,Private,205072,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -44,Private,210525,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,32948,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -48,Self-emp-inc,196689,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -61,Private,87032,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Self-emp-inc,325159,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,52131,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,266439,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,15,United-States,<=50K -22,Private,61850,Masters,14,Never-married,Sales,Other-relative,White,Female,0,0,21,United-States,<=50K -19,Private,163015,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,20,United-States,<=50K -25,Private,225135,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Self-emp-inc,109001,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,60,United-States,<=50K -33,Private,45796,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -29,Private,214987,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,2174,0,40,United-States,<=50K -19,Private,311974,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Mexico,<=50K -48,Private,77404,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -43,Private,153132,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Self-emp-not-inc,64631,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -63,Private,151364,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,25,United-States,<=50K -25,Private,87487,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,50,United-States,<=50K -41,Self-emp-not-inc,200479,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K -66,Private,30740,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,15,United-States,<=50K -59,Private,153484,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -29,Local-gov,214385,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,35,United-States,<=50K -29,?,565769,Preschool,1,Never-married,?,Not-in-family,Black,Male,0,0,40,South,<=50K -44,Self-emp-not-inc,92162,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,210945,11th,7,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -41,Private,63105,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,>50K -44,Private,185602,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Self-emp-inc,329980,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -70,Local-gov,111712,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,22,United-States,<=50K -25,Local-gov,48317,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -42,Private,84661,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K -47,Private,121622,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -21,Private,37514,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -72,Private,174993,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -56,Private,159472,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -52,Local-gov,195635,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,108282,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -63,Private,55946,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,123306,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,284250,Some-college,10,Married-civ-spouse,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -60,Private,113443,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -23,Private,309178,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,69236,Some-college,10,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K -34,Local-gov,182926,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,126675,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -39,Private,187693,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -56,Private,41100,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -53,State-gov,261839,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,97197,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -29,Private,260645,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -56,Private,116878,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Portugal,>50K -49,?,227690,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,199411,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -25,Private,194813,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -47,Private,177087,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,2444,50,United-States,>50K -44,Self-emp-not-inc,242434,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,27828,0,60,United-States,>50K -27,Private,399123,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,1719,40,United-States,<=50K -47,Private,216999,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -47,Private,47270,12th,8,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -42,Federal-gov,122215,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -26,Private,37898,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K -38,Private,61343,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,32533,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,United-States,<=50K -30,Private,296897,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -29,Private,201101,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,155293,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -40,Private,101593,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,State-gov,104908,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -54,Self-emp-not-inc,139023,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,429832,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -32,Private,352542,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -64,Private,29559,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,38,United-States,<=50K -61,Local-gov,205711,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,>50K -49,Private,160706,11th,7,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -59,Federal-gov,101626,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -29,Private,245226,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,40,United-States,<=50K -39,Private,118286,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,<=50K -22,Private,187703,Assoc-voc,11,Never-married,Other-service,Other-relative,White,Male,0,0,40,Guatemala,<=50K -49,Private,289707,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,<=50K -32,Private,68330,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,40,United-States,<=50K -33,Private,118786,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1590,40,United-States,<=50K -45,Private,203785,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,32732,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K -54,Local-gov,204567,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Self-emp-not-inc,131808,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,80,United-States,>50K -22,Private,33272,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K -55,Private,117477,11th,7,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,40,Jamaica,<=50K -36,Self-emp-not-inc,240191,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,41310,0,90,South,<=50K -38,Private,93287,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,127651,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -57,Private,222477,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,8,United-States,>50K -23,Private,345734,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,111567,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -38,Private,108293,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K -34,Private,424988,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -38,Local-gov,94529,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,3103,0,50,United-States,>50K -42,Private,163322,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -52,Local-gov,181132,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1887,40,United-States,>50K -32,Private,140092,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -29,Private,131913,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K -74,Private,175945,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,28,United-States,<=50K -48,Private,247053,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -17,Self-emp-not-inc,226203,12th,8,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K -23,Private,205865,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2179,60,United-States,<=50K -22,Local-gov,200109,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K -53,Private,175029,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -20,Private,55465,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,36989,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K -23,Private,255685,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,25,United-States,<=50K -30,Private,180765,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -34,Self-emp-not-inc,180607,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K -39,Private,48063,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,32,United-States,<=50K -37,State-gov,159491,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -28,Private,167789,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -23,Private,124971,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,State-gov,61710,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -32,Private,127895,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -23,Private,390348,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,44,Japan,<=50K -25,Private,205337,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -52,Private,260954,10th,6,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,?,331237,HS-grad,9,Separated,?,Own-child,Black,Female,0,0,20,United-States,<=50K -22,Private,177526,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,2907,0,30,United-States,<=50K -27,Private,113882,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,4508,0,40,United-States,<=50K -32,Private,29144,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K -39,Local-gov,124685,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,<=50K -18,Private,88440,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,36,United-States,<=50K -28,Private,265074,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Local-gov,306985,Masters,14,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,2415,50,United-States,>50K -72,Private,181494,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -76,Private,138403,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -35,Private,216473,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -36,Private,143123,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -19,Private,132717,HS-grad,9,Married-civ-spouse,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -23,State-gov,389792,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,30,United-States,<=50K -36,Private,359001,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,260052,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,15020,0,40,United-States,>50K -20,Private,63633,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -64,Self-emp-not-inc,234192,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -53,Local-gov,237523,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -33,Self-emp-not-inc,183778,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,205916,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Male,0,0,40,United-States,<=50K -31,Private,131633,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,33121,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K -38,Federal-gov,32899,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,152171,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K -46,Local-gov,127441,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -46,Private,23074,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,England,<=50K -42,Private,91585,Some-college,10,Widowed,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -18,Private,83451,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -23,Local-gov,219122,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -81,Private,176500,12th,8,Widowed,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -40,?,246862,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,0,8,United-States,<=50K -35,Private,38468,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,21,United-States,<=50K -24,?,35633,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,11,?,<=50K -19,Private,194608,9th,5,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,269723,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -24,Private,165054,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -24,Private,127537,9th,5,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -24,Private,326931,9th,5,Never-married,Transport-moving,Unmarried,Other,Male,0,0,40,El-Salvador,<=50K -24,Private,307133,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,?,<=50K -37,Private,371576,Some-college,10,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -50,Private,160400,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,426350,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -26,State-gov,121789,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -18,Private,218183,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -24,Private,91189,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,232190,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -38,Self-emp-not-inc,233033,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -66,Self-emp-inc,74263,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,86,United-States,>50K -33,Private,205950,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -25,Private,213383,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,345577,Some-college,10,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,26,United-States,<=50K -20,?,322144,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,158825,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,14344,0,40,United-States,>50K -64,Self-emp-inc,51286,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,6418,0,65,United-States,>50K -36,Private,82488,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -31,Federal-gov,40909,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,<=50K -23,Private,114939,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -61,Private,221534,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,149455,Some-college,10,Separated,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K -68,?,353524,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K -30,Private,328734,10th,6,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,112906,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,44,United-States,<=50K -27,Private,155038,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -26,Private,100125,Assoc-acdm,12,Divorced,Transport-moving,Unmarried,White,Female,0,0,30,United-States,<=50K -26,State-gov,177048,Some-college,10,Married-civ-spouse,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K -43,Private,72338,Masters,14,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -20,Private,254547,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,35,Outlying-US(Guam-USVI-etc),<=50K -20,Local-gov,186213,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,38,United-States,<=50K -39,Private,270557,Masters,14,Divorced,Other-service,Not-in-family,White,Female,0,0,50,United-States,>50K -48,Private,41411,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -36,Private,116445,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,247540,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,1974,30,United-States,<=50K -37,Private,358753,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -37,Self-emp-not-inc,156897,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Male,0,1564,55,United-States,>50K -44,Self-emp-not-inc,360879,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1902,80,United-States,>50K -51,Private,256051,11th,7,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,1628,40,United-States,<=50K -34,Private,179877,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,266583,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,2829,0,38,United-States,<=50K -38,Private,187711,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,>50K -34,Local-gov,206707,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K -63,Local-gov,80655,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Federal-gov,409464,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -62,Private,235997,12th,8,Widowed,Adm-clerical,Unmarried,White,Female,0,0,37,Mexico,<=50K -20,Private,59948,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,18,United-States,<=50K -30,Private,323833,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -53,Private,290290,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,1590,50,United-States,<=50K -20,?,291746,12th,8,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -77,Private,189173,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -50,State-gov,392668,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -61,Private,132529,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,68080,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,?,>50K -17,Private,194717,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K -43,Private,307767,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -61,Private,90051,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,3456,0,44,Canada,<=50K -77,State-gov,267799,Doctorate,16,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,4,United-States,>50K -49,Private,81535,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,>50K -26,Self-emp-not-inc,334267,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,55912,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,172706,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,240467,Some-college,10,Separated,Transport-moving,Not-in-family,Black,Female,0,0,40,United-States,>50K -23,Private,186006,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,37,United-States,<=50K -38,Private,65738,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Self-emp-not-inc,192878,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -27,State-gov,413870,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Male,0,0,40,United-States,<=50K -45,Private,176341,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -66,?,28367,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,117210,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,36,United-States,<=50K -21,?,231286,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,25,Jamaica,<=50K -42,Private,188465,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -31,Local-gov,253456,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -54,Private,140592,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,171335,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,State-gov,73928,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,15,United-States,<=50K -24,Private,161415,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,35,United-States,<=50K -24,Private,395297,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,30,Japan,<=50K -40,State-gov,385357,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,>50K -45,State-gov,160599,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,222450,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,?,38603,7th-8th,4,Divorced,?,Not-in-family,White,Male,0,0,20,United-States,<=50K -50,Private,178946,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -36,Private,106471,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -35,Private,341643,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,97952,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,?,<=50K -31,Private,111567,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1848,50,United-States,>50K -43,Local-gov,201764,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -30,Private,153549,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,48,United-States,<=50K -44,Local-gov,264016,Bachelors,13,Married-civ-spouse,Prof-specialty,Other-relative,Black,Female,0,0,40,United-States,<=50K -42,Private,194636,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -64,State-gov,184271,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -23,Local-gov,49296,Some-college,10,Married-spouse-absent,Prof-specialty,Own-child,Black,Male,0,0,40,United-States,<=50K -60,Private,96099,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,4101,0,60,United-States,<=50K -18,Self-emp-not-inc,304699,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,40,England,<=50K -24,Private,267181,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -40,Private,154076,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -17,Private,98209,11th,7,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K -33,Private,92003,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -43,Private,103759,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,269681,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Female,0,0,35,United-States,<=50K -25,Private,789600,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,152165,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,260560,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -40,Self-emp-inc,214781,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,65,United-States,>50K -64,Private,207188,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,246258,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,101563,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,7430,0,45,United-States,>50K -60,Private,69955,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,4064,0,40,United-States,<=50K -25,Private,124111,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,36,?,<=50K -38,Private,237091,Some-college,10,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,36,Peru,<=50K -26,Private,318644,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -19,Private,138917,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -31,Private,97405,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,196674,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,405281,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,186256,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,120277,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -33,Private,161035,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,49,United-States,<=50K -34,Private,176244,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Other-relative,White,Female,0,0,40,Mexico,<=50K -54,Private,32454,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -39,Private,346478,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -43,Private,196158,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -42,Federal-gov,208470,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,215616,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K -23,Private,275357,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -23,Self-emp-inc,304871,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -54,Private,99185,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K -23,Private,115085,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -58,Private,82050,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -46,Private,123681,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,193152,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -53,Private,309466,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -77,Local-gov,100883,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,8,Canada,<=50K -37,Private,32528,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -18,Private,245199,10th,6,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,72375,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K -34,Private,117963,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K -45,Private,160440,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -64,Federal-gov,113570,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K -58,?,191830,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,55,United-States,<=50K -24,Private,232328,9th,5,Divorced,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -37,Private,92028,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -48,Private,138342,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,55,United-States,>50K -42,Private,197810,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,102142,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,104223,Bachelors,13,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,Private,132835,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Self-emp-not-inc,109195,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -33,Private,203463,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Local-gov,33114,11th,7,Divorced,Handlers-cleaners,Unmarried,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K -27,Private,187450,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,104213,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,257849,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,50490,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,85508,12th,8,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K -54,Self-emp-not-inc,60449,Bachelors,13,Widowed,Sales,Unmarried,White,Male,0,0,60,United-States,<=50K -27,Local-gov,131310,Some-college,10,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -65,Self-emp-not-inc,158177,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,10605,0,44,United-States,>50K -65,Private,115922,11th,7,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,24,United-States,<=50K -21,Private,403471,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,48,United-States,<=50K -22,Private,176131,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K -32,Private,149531,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,262243,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K -32,Private,64658,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,127914,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -49,Self-emp-inc,182211,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -30,Private,48520,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,43,United-States,<=50K -20,Private,403118,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,11,United-States,<=50K -55,Private,119344,HS-grad,9,Married-civ-spouse,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -46,Self-emp-not-inc,334456,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,263110,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Self-emp-not-inc,279015,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K -58,Private,195878,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -34,Private,217652,12th,8,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -65,Federal-gov,44807,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,>50K -48,Private,129777,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -28,?,195568,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,15,?,>50K -44,Private,227466,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -26,Private,228457,11th,7,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,247053,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,188669,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -45,Private,40666,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Italy,<=50K -57,?,190514,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -36,Local-gov,404661,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -45,Self-emp-not-inc,39986,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1740,56,United-States,<=50K -43,Private,175133,Some-college,10,Divorced,Tech-support,Unmarried,Black,Female,0,0,35,United-States,<=50K -62,Private,101375,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,256680,Assoc-acdm,12,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K -46,State-gov,136878,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,106151,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,?,>50K -38,?,242221,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,38,United-States,<=50K -38,Private,101387,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,43,United-States,<=50K -51,Private,196828,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,38,United-States,>50K -20,?,195075,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -22,Private,333910,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,22,United-States,<=50K -46,Self-emp-not-inc,103540,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -67,Self-emp-not-inc,36876,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,158651,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K -24,Private,196943,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -41,Private,184583,Some-college,10,Divorced,Other-service,Unmarried,White,Male,0,0,59,United-States,<=50K -33,Private,244817,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,386726,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -56,Self-emp-inc,373593,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,Italy,>50K -27,Private,206199,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -32,Private,93283,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,?,103628,Bachelors,13,Married-spouse-absent,?,Not-in-family,White,Female,0,0,4,India,<=50K -21,Local-gov,391936,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,25,United-States,<=50K -31,Local-gov,168740,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K -42,Private,150568,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -19,Private,201178,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -63,Private,75813,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K -34,Local-gov,398988,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,18,United-States,<=50K -38,Private,158363,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,81961,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -34,Private,170017,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,348092,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,Haiti,<=50K -27,Private,54861,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,32,United-States,<=50K -63,Self-emp-not-inc,74991,HS-grad,9,Widowed,Farming-fishing,Unmarried,White,Male,0,0,60,United-States,<=50K -25,Private,106552,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -51,Private,27539,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -50,Private,268913,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Iran,<=50K -63,Private,199888,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -53,Private,288216,Some-college,10,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Self-emp-inc,378036,12th,8,Never-married,Farming-fishing,Own-child,White,Male,0,0,10,United-States,<=50K -41,Private,127314,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -32,Private,115963,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -19,Private,332928,11th,7,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -41,Self-emp-not-inc,178510,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -29,Private,53147,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,37,United-States,<=50K -66,Private,115880,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3818,0,40,United-States,<=50K -57,Private,375502,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -49,Self-emp-not-inc,155659,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -36,Private,122240,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,112305,Assoc-voc,11,Never-married,Other-service,Unmarried,White,Female,0,0,10,United-States,<=50K -46,Federal-gov,35136,11th,7,Never-married,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K -27,Private,215423,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,16,United-States,<=50K -24,Private,116358,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,2339,40,Philippines,<=50K -17,Private,171461,10th,6,Never-married,Sales,Own-child,White,Female,0,0,14,United-States,<=50K -32,Private,131584,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -40,Self-emp-inc,29520,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,65,United-States,<=50K -35,Local-gov,246463,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -22,Private,32616,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -41,Private,144144,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,30,United-States,<=50K -75,?,222789,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,9,United-States,<=50K -22,Private,227594,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Local-gov,375606,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -46,Private,180532,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -50,State-gov,54342,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,208798,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Local-gov,377401,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -36,Self-emp-not-inc,110861,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -42,Private,144594,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -23,Private,129345,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -28,Private,424340,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -44,Private,187702,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -47,State-gov,293917,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -61,Private,160143,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K -50,Private,345450,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -54,State-gov,180881,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -18,Private,102690,11th,7,Never-married,Machine-op-inspct,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -46,Private,265371,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,167333,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -50,Self-emp-inc,447144,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -32,Private,280077,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -48,Private,143920,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,25,United-States,<=50K -40,Private,190507,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -34,Self-emp-not-inc,59469,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K -31,Private,74501,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -43,Self-emp-inc,215458,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,99999,0,45,United-States,>50K -33,Private,281685,Assoc-voc,11,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -62,Private,78273,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -44,Private,105475,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Puerto-Rico,<=50K -55,Private,174260,HS-grad,9,Widowed,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Self-emp-inc,149102,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,188331,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,15024,0,40,United-States,>50K -23,Private,864960,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -63,Private,154526,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,60783,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,186269,HS-grad,9,Never-married,Other-service,Own-child,White,Male,2907,0,35,United-States,<=50K -30,Private,398019,1st-4th,2,Separated,Priv-house-serv,Other-relative,White,Female,0,0,30,Mexico,<=50K -50,Federal-gov,237503,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,93762,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,59916,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,203264,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Self-emp-not-inc,299119,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -29,Federal-gov,114072,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,46,United-States,>50K -18,?,167875,Some-college,10,Never-married,?,Own-child,White,Female,0,0,16,United-States,<=50K -64,Private,130525,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -58,Private,71283,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,United-States,>50K -43,Local-gov,85440,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -27,Private,136077,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K -40,Private,222434,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,Canada,>50K -25,Private,138111,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,2174,0,40,United-States,<=50K -27,Private,225746,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Male,0,0,35,United-States,<=50K -54,Private,240358,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,Jamaica,<=50K -25,Private,139863,1st-4th,2,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Mexico,<=50K -39,Private,278632,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,71046,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -29,Private,312985,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2129,50,United-States,<=50K -49,Federal-gov,276309,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,?,199116,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2407,0,40,Dominican-Republic,<=50K -39,Private,52870,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -51,State-gov,79324,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -50,Private,188882,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -39,Federal-gov,72338,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -23,?,234108,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,35,United-States,<=50K -24,Private,113936,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,55,United-States,<=50K -43,Private,182521,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,15020,0,35,United-States,>50K -60,Private,124198,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,4386,0,84,United-States,>50K -20,Private,228960,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -60,Self-emp-not-inc,176360,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -35,Private,178649,Bachelors,13,Divorced,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,36,Philippines,<=50K -41,Private,338740,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -31,Private,205659,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -59,Private,258883,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,196638,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,45,United-States,<=50K -43,Self-emp-not-inc,95246,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,5,United-States,>50K -20,?,216672,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -25,Private,61956,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,4650,0,45,United-States,<=50K -33,Private,157216,Masters,14,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -68,?,150250,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,1510,30,United-States,<=50K -37,Private,112838,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -31,State-gov,158688,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -31,State-gov,227864,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -31,Private,173858,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Male,0,1902,40,China,<=50K -51,Private,30012,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,80,United-States,<=50K -20,?,50163,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,25,United-States,<=50K -50,State-gov,143822,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -19,?,497414,7th-8th,4,Married-spouse-absent,?,Not-in-family,White,Female,0,0,35,Mexico,<=50K -30,Private,235109,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,339196,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -61,Private,181028,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,18,United-States,<=50K -43,Private,59460,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -21,Private,97212,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,2001,25,United-States,<=50K -32,Private,103642,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -41,Private,70447,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,60,United-States,<=50K -27,Private,321456,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,10,Germany,<=50K -23,Private,126613,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K -52,Self-emp-not-inc,149508,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,United-States,>50K -38,Private,332154,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,United-States,>50K -18,?,471876,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -25,Private,140669,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,107164,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -39,Private,225707,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Cuba,<=50K -64,Self-emp-inc,56588,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Female,0,0,70,United-States,<=50K -31,Self-emp-inc,183125,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,99,United-States,>50K -56,Private,177368,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,45,United-States,>50K -40,Private,218653,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,191137,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,181585,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,142566,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -41,Self-emp-inc,220821,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,>50K -37,Private,280966,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -52,Private,153155,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,40,United-States,>50K -29,Private,195446,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,77884,1st-4th,2,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -41,Private,99373,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,118729,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -25,Private,108414,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,198366,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,20,United-States,<=50K -42,Private,238384,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,36,United-States,<=50K -27,Private,214695,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -33,Private,120420,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,186934,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -29,Self-emp-not-inc,100368,9th,5,Widowed,Other-service,Unmarried,White,Female,0,0,27,United-States,<=50K -49,Private,723746,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K -67,?,427422,Some-college,10,Married-civ-spouse,?,Husband,White,Male,2414,0,16,United-States,<=50K -44,Private,54271,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,189680,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,>50K -49,Private,230796,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,State-gov,195843,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -41,Private,109912,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,15024,0,50,England,>50K -19,Private,42069,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,335950,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,70,United-States,<=50K -45,Private,163174,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,40,United-States,>50K -24,Private,81145,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -67,Local-gov,312052,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K -28,Private,209934,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Mexico,<=50K -22,?,269221,Assoc-acdm,12,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -57,Private,322691,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -68,Private,99849,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,28,United-States,<=50K -23,?,213004,Some-college,10,Never-married,?,Own-child,White,Female,0,1719,30,United-States,<=50K -49,Private,182313,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,201505,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K -61,Self-emp-not-inc,227119,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -47,Private,202395,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,170583,11th,7,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -58,State-gov,21838,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -50,Self-emp-inc,68898,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K -34,Private,226702,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -59,?,168079,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,35,United-States,<=50K -42,Self-emp-inc,173628,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -20,Private,164529,11th,7,Never-married,Farming-fishing,Own-child,Black,Male,0,0,40,United-States,<=50K -27,Self-emp-not-inc,301514,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -50,Private,194580,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -63,Private,165611,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -32,Private,96480,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,State-gov,224700,Assoc-voc,11,Divorced,Protective-serv,Unmarried,Black,Male,0,0,40,United-States,<=50K -63,Self-emp-not-inc,141962,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,20,United-States,<=50K -22,Private,377815,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K -24,Private,271379,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -40,Private,421837,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,77953,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,345122,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Male,0,0,50,United-States,<=50K -38,?,172855,11th,7,Divorced,?,Unmarried,Black,Female,0,0,20,United-States,<=50K -34,Private,87131,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Guatemala,<=50K -21,Private,328906,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -56,Private,21626,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,43,United-States,<=50K -38,Private,143909,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -32,Private,178835,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,2174,0,40,United-States,<=50K -45,Private,94809,Some-college,10,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -64,Local-gov,172768,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -30,Self-emp-inc,204742,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -32,Self-emp-inc,144949,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -26,Private,195562,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,56482,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,30,United-States,>50K -55,Federal-gov,36314,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,72,United-States,<=50K -51,Self-emp-not-inc,329980,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,8,United-States,>50K -62,Local-gov,103344,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Local-gov,169708,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -54,Local-gov,249949,Some-college,10,Divorced,Exec-managerial,Other-relative,Black,Female,0,0,40,United-States,<=50K -35,Self-emp-not-inc,186934,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,692831,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,48,United-States,<=50K -17,Private,154078,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -22,Private,91733,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -67,Self-emp-inc,325373,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -43,Self-emp-not-inc,160369,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K -57,Local-gov,196126,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -38,Private,120053,HS-grad,9,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,35,United-States,<=50K -19,Private,204337,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -34,Private,128016,HS-grad,9,Never-married,Tech-support,Other-relative,White,Female,0,0,40,United-States,<=50K -50,?,199301,Assoc-voc,11,Never-married,?,Unmarried,Black,Female,0,0,16,United-States,<=50K -33,Private,49027,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,192022,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -40,Private,147099,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,5,United-States,<=50K -32,Private,334744,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -25,Private,207621,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,194458,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Self-emp-inc,184245,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Mexico,>50K -34,Private,242704,HS-grad,9,Never-married,Tech-support,Own-child,Black,Male,0,0,40,United-States,<=50K -21,?,278130,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,251073,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,153209,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,360879,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,115066,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,409172,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -63,Private,223637,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,50,United-States,<=50K -36,Private,161141,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -34,Private,535869,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,30,United-States,<=50K -60,Federal-gov,49921,9th,5,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -23,Private,335067,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -47,Self-emp-inc,209460,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,40,United-States,>50K -20,Private,355236,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,16,United-States,<=50K -50,Private,240374,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -29,Private,221428,12th,8,Married-civ-spouse,Sales,Own-child,Other,Male,0,0,35,United-States,<=50K -37,Private,356250,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K -20,Private,356347,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -50,Private,245356,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -31,Self-emp-not-inc,247088,HS-grad,9,Separated,Craft-repair,Own-child,Black,Male,0,0,50,United-States,<=50K -27,?,200381,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,300333,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Dominican-Republic,>50K -38,Private,109594,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,70,United-States,>50K -24,Local-gov,221480,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -29,Private,433624,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,179681,Assoc-voc,11,Married-spouse-absent,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -21,Local-gov,136208,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,48,United-States,<=50K -64,Private,159715,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,10566,0,40,United-States,<=50K -33,Private,164683,HS-grad,9,Never-married,Transport-moving,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,152307,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,256908,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,227943,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -75,?,33673,Masters,14,Widowed,?,Not-in-family,Amer-Indian-Eskimo,Male,0,0,26,United-States,<=50K -26,Private,116991,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -64,Private,96076,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -32,Self-emp-inc,201314,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -17,Private,153021,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -34,State-gov,334422,Some-college,10,Divorced,Protective-serv,Unmarried,Black,Male,0,0,47,United-States,<=50K -37,Private,160192,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -72,?,51216,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,14,United-States,<=50K -47,Private,323212,Some-college,10,Separated,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -45,Self-emp-inc,179030,Bachelors,13,Married-civ-spouse,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,35,South,<=50K -23,Private,129345,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -36,Private,31023,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -62,Self-emp-inc,164616,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K -34,Federal-gov,121093,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,53,United-States,>50K -36,Private,300373,10th,6,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Private,95708,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,7688,0,60,United-States,>50K -36,State-gov,235779,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,114158,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,192226,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -38,Private,166416,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,211215,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -26,Private,157617,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K -44,Private,96170,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K -26,Private,224045,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,36,United-States,<=50K -42,Private,350550,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -37,Self-emp-not-inc,114719,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K -26,Private,124111,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -36,Private,250224,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,Black,Female,0,0,40,United-States,<=50K -19,?,232060,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,195258,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -23,Private,285775,HS-grad,9,Never-married,Protective-serv,Other-relative,White,Male,0,0,42,United-States,<=50K -27,Private,146687,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,76128,HS-grad,9,Divorced,Craft-repair,Not-in-family,Other,Male,0,0,60,Ecuador,<=50K -28,Private,241607,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,273675,HS-grad,9,Married-spouse-absent,Other-service,Other-relative,Black,Female,0,0,35,Puerto-Rico,<=50K -29,Private,210867,11th,7,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -41,Private,144752,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K -34,Private,185820,HS-grad,9,Married-civ-spouse,Sales,Wife,Black,Female,0,0,40,United-States,<=50K -42,Private,252518,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,?,<=50K -30,Private,123833,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,291569,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,43,United-States,<=50K -37,Private,638116,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,32,United-States,<=50K -46,Private,269045,11th,7,Widowed,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -46,Private,102852,7th-8th,4,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,195447,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -27,Private,173944,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -25,Private,276728,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Female,0,0,43,United-States,<=50K -21,State-gov,173534,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,Ecuador,<=50K -23,Private,198368,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,27620,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K -46,Local-gov,192235,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -27,Private,467936,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,Mexico,<=50K -25,Private,264136,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -61,Self-emp-not-inc,184009,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,2444,50,United-States,>50K -50,Private,165001,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -66,Private,123484,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,123384,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -50,Self-emp-inc,235307,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K -41,Private,238384,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Self-emp-not-inc,171351,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -38,State-gov,162424,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,Private,333838,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K -58,Private,100303,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K -41,Federal-gov,58447,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -43,Local-gov,317185,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,36,United-States,<=50K -39,Private,103323,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1669,40,United-States,<=50K -22,Private,221694,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,60,United-States,<=50K -52,Private,214091,HS-grad,9,Widowed,Other-service,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -35,?,171062,Bachelors,13,Never-married,?,Not-in-family,Black,Male,0,0,40,England,<=50K -46,Private,278200,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,187592,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -55,Private,188382,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K -48,Private,65584,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -22,?,117789,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,402089,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,55,United-States,<=50K -40,Private,69730,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,34218,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -55,Federal-gov,54566,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,698039,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,28,United-States,<=50K -57,?,76571,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,133201,7th-8th,4,Divorced,Craft-repair,Unmarried,White,Male,0,1408,40,France,<=50K -47,Federal-gov,146786,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -46,?,96154,Some-college,10,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -64,State-gov,143880,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -18,Private,132397,12th,8,Never-married,Other-service,Own-child,Black,Female,0,0,18,United-States,<=50K -28,?,45613,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,136226,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,334291,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -33,Private,183017,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,32,United-States,<=50K -66,Private,207917,7th-8th,4,Married-civ-spouse,Other-service,Husband,Black,Male,1797,0,20,United-States,<=50K -65,?,136431,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,9386,0,40,United-States,>50K -37,Private,80303,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -19,Private,210509,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -37,?,48915,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,35,United-States,<=50K -41,Private,91316,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,205670,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -76,Private,25319,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K -52,Private,264129,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,40165,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,Japan,<=50K -43,Federal-gov,79529,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K -32,Private,164519,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K -33,Private,184178,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,35,United-States,<=50K -33,State-gov,427812,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,Mexico,<=50K -59,Self-emp-not-inc,172618,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,472861,11th,7,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -40,Private,114157,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -22,Self-emp-not-inc,104164,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,35,United-States,<=50K -45,Self-emp-not-inc,180680,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -28,Private,300915,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,43,United-States,>50K -38,Private,308171,Some-college,10,Separated,Tech-support,Unmarried,Black,Female,0,0,50,United-States,<=50K -56,Private,320833,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -42,?,167710,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,18,United-States,<=50K -19,Private,228577,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,36,United-States,<=50K -48,Self-emp-not-inc,221464,11th,7,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,>50K -31,Self-emp-not-inc,213307,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,0,0,28,Mexico,<=50K -42,Private,165815,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,248919,1st-4th,2,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,66,Mexico,<=50K -23,?,116934,10th,6,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -60,Self-emp-not-inc,285365,Some-college,10,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,50,United-States,<=50K -63,Private,134960,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Scotland,<=50K -24,Private,449101,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -42,Private,46019,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,5178,0,50,United-States,>50K -71,?,161027,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,>50K -32,State-gov,19513,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Japan,<=50K -57,Self-emp-not-inc,258121,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -56,Private,242782,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,44,United-States,<=50K -65,?,193365,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K -42,Private,182402,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,50,United-States,>50K -24,Private,254767,11th,7,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,112115,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -58,Private,117299,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -44,Private,214781,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -33,Private,197474,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -24,?,234791,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,25,United-States,<=50K -34,Local-gov,126584,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -72,Self-emp-not-inc,28865,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,14,United-States,<=50K -61,Private,163729,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,218407,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,Columbia,>50K -58,Private,95428,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Self-emp-inc,146103,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,30,United-States,>50K -25,Private,150312,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -72,Private,76206,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,16,United-States,<=50K -23,Private,340543,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,125461,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,218015,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -49,Private,178160,Assoc-acdm,12,Widowed,Sales,Not-in-family,White,Female,0,0,40,Germany,<=50K -25,Private,169905,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,226629,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -28,Private,180313,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,?,236276,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -71,Private,124901,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -63,Local-gov,214275,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,55,United-States,<=50K -49,Local-gov,371886,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,>50K -65,Private,282779,Masters,14,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,>50K -22,Private,218415,Some-college,10,Never-married,Tech-support,Unmarried,White,Female,0,0,50,United-States,<=50K -45,Private,105431,HS-grad,9,Divorced,Farming-fishing,Unmarried,Black,Female,0,0,39,United-States,<=50K -32,?,373231,Some-college,10,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -29,Private,59792,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K -44,Private,75742,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -64,Private,186731,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,310197,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -64,Private,73413,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -39,Private,175232,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,338948,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -22,Private,95647,11th,7,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -43,Self-emp-inc,677398,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -26,Self-emp-not-inc,263300,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,75,United-States,<=50K -47,Federal-gov,218325,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -37,Local-gov,156261,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -25,Private,165817,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,304605,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -39,Self-emp-not-inc,245361,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K -45,Federal-gov,230685,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -18,?,184502,11th,7,Never-married,?,Own-child,Black,Male,0,0,30,United-States,<=50K -37,Local-gov,116736,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,178952,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,156266,11th,7,Married-civ-spouse,Farming-fishing,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K -22,Private,163519,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -18,Private,296090,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -22,Private,119742,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Private,269763,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,10,United-States,<=50K -56,Private,287833,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K -19,?,190093,12th,8,Never-married,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K -74,Self-emp-inc,148003,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,6,United-States,>50K -18,Private,131414,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -39,Private,172571,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Local-gov,184440,12th,8,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,36,United-States,<=50K -28,Private,216479,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,293475,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Federal-gov,109982,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Self-emp-not-inc,205033,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -32,Local-gov,56658,HS-grad,9,Never-married,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -58,Private,159008,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -28,Private,37302,HS-grad,9,Divorced,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -33,Local-gov,107417,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -33,Private,236379,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -51,Private,57637,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -51,Private,276214,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Self-emp-not-inc,113749,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,100837,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2002,66,United-States,<=50K -45,Private,239058,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -19,Private,286419,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -52,?,50934,Assoc-acdm,12,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,>50K -21,Private,283969,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,Mexico,<=50K -76,Private,152839,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -46,Local-gov,32290,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,204373,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -51,Private,126528,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -19,Private,245408,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -30,State-gov,127610,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,132919,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,12,United-States,>50K -68,Private,58547,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1735,48,United-States,<=50K -36,Private,251091,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -71,Private,149950,HS-grad,9,Widowed,Priv-house-serv,Unmarried,White,Female,0,0,20,United-States,<=50K -32,Private,464621,Some-college,10,Never-married,Farming-fishing,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -43,Private,170230,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,100294,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -24,Local-gov,234108,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,33046,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K -76,Private,84428,Some-college,10,Widowed,Sales,Not-in-family,Asian-Pac-Islander,Female,2062,0,37,United-States,<=50K -35,Self-emp-not-inc,107662,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,5,Canada,<=50K -23,Private,220874,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -46,Local-gov,88564,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -44,Self-emp-inc,144778,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -17,?,179861,10th,6,Never-married,?,Own-child,White,Male,0,0,10,Poland,<=50K -30,Private,166671,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -51,Private,97180,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,15,United-States,<=50K -18,Self-emp-not-inc,194091,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,24,United-States,<=50K -23,Private,308498,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,18,United-States,<=50K -53,Federal-gov,321865,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -25,Private,181814,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -44,Private,374423,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1902,40,United-States,>50K -49,Private,213668,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -28,Private,213236,HS-grad,9,Separated,Other-service,Unmarried,White,Male,0,0,40,Dominican-Republic,<=50K -58,Self-emp-not-inc,115439,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -36,Private,124111,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -32,Private,176185,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,4787,0,40,United-States,>50K -26,Private,211231,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -25,Private,259715,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -19,Private,248600,10th,6,Never-married,Other-service,Other-relative,White,Female,34095,0,24,United-States,<=50K -39,Private,153997,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,1902,40,Puerto-Rico,>50K -44,Private,67779,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -32,Private,236861,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,<=50K -57,Private,367334,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -64,Private,213391,9th,5,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K -46,Local-gov,301124,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1564,45,United-States,>50K -37,Private,184117,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,233923,Assoc-voc,11,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,348592,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Local-gov,111817,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,170983,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Self-emp-not-inc,121407,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,35,United-States,<=50K -40,Local-gov,210275,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K -21,Private,116358,HS-grad,9,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -48,Private,189123,Masters,14,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,48087,Bachelors,13,Divorced,Machine-op-inspct,Not-in-family,White,Male,2354,0,40,United-States,<=50K -37,Private,179488,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -30,Local-gov,370990,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -49,Private,169760,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -38,State-gov,34493,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -61,Private,185584,Bachelors,13,Widowed,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Female,0,0,40,?,<=50K -44,Private,324311,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,32,Mexico,<=50K -62,Self-emp-not-inc,96299,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -47,Private,147322,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Columbia,<=50K -35,Private,135289,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -44,State-gov,128586,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,State-gov,185590,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -28,Self-emp-not-inc,107458,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K -57,Private,151874,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,50,United-States,<=50K -26,State-gov,413846,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,203836,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,>50K -44,Self-emp-not-inc,110028,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,57640,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -40,State-gov,67874,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,58,United-States,<=50K -50,Self-emp-not-inc,169112,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K -37,Self-emp-inc,154410,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -26,Private,63234,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,4508,0,12,United-States,<=50K -64,Private,121036,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,>50K -30,Private,408328,Preschool,1,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,0,40,Mexico,<=50K -29,Private,269254,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,115438,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -28,Private,332249,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,25,United-States,<=50K -33,State-gov,160261,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -24,Private,167316,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,30,United-States,<=50K -26,State-gov,291586,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -77,Self-emp-not-inc,184046,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -25,Federal-gov,178025,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,9,United-States,<=50K -53,Private,104280,12th,8,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -38,Private,302604,11th,7,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,44,United-States,<=50K -30,Private,225243,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,47,United-States,>50K -39,Self-emp-not-inc,327120,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K -51,Self-emp-not-inc,43878,Doctorate,16,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -25,?,40915,Bachelors,13,Married-spouse-absent,?,Not-in-family,White,Female,0,0,15,United-States,<=50K -49,Self-emp-inc,83444,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,85,United-States,>50K -51,Private,351416,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,117310,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,1876,48,United-States,<=50K -36,Private,324231,9th,5,Never-married,Farming-fishing,Unmarried,Black,Female,0,0,40,United-States,<=50K -62,Private,161802,1st-4th,2,Married-civ-spouse,Priv-house-serv,Wife,Black,Female,0,0,30,United-States,<=50K -40,Self-emp-not-inc,184804,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,2205,45,United-States,<=50K -30,Federal-gov,547931,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -39,Private,46395,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -47,Local-gov,182313,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -28,Local-gov,169069,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,203182,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Private,142924,Bachelors,13,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,180656,5th-6th,3,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Guatemala,<=50K -58,Private,187485,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,24,United-States,<=50K -84,?,157778,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,6,United-States,<=50K -46,Self-emp-not-inc,149337,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -23,Private,97054,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -32,Private,377017,Bachelors,13,Never-married,Sales,Other-relative,White,Male,0,0,32,United-States,<=50K -43,Private,106900,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,378723,10th,6,Separated,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -23,Private,209955,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,312766,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -59,Private,70857,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -22,Private,238917,11th,7,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,El-Salvador,<=50K -50,State-gov,53497,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,46,United-States,>50K -44,Private,283174,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -60,?,190497,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -56,State-gov,104447,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,2339,40,United-States,<=50K -36,Private,73023,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,2202,0,40,United-States,<=50K -20,Private,177896,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,349951,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4508,0,55,United-States,<=50K -29,Private,80179,HS-grad,9,Separated,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -32,State-gov,308955,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -36,Private,126896,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,35,United-States,<=50K -19,State-gov,116385,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,18,United-States,<=50K -37,State-gov,172425,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,106615,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,15,United-States,<=50K -42,Private,261929,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -22,Private,163870,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -35,Self-emp-inc,242080,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,45,United-States,>50K -21,Private,30796,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -43,Self-emp-not-inc,207578,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K -22,?,140001,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,217942,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K -28,Private,301010,11th,7,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -20,?,222007,Some-college,10,Never-married,?,Own-child,White,Male,0,0,24,United-States,<=50K -32,Private,72630,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,3325,0,45,United-States,<=50K -49,Local-gov,204377,11th,7,Divorced,Other-service,Own-child,White,Female,0,0,60,United-States,<=50K -38,Local-gov,189614,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -21,Private,100345,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,163687,10th,6,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -34,Local-gov,174215,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,35,United-States,>50K -32,Private,37646,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -33,Private,84154,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,<=50K -41,Private,116493,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,52,United-States,<=50K -38,Private,259972,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -58,State-gov,185338,Bachelors,13,Widowed,Tech-support,Unmarried,White,Female,0,0,40,United-States,>50K -44,Private,99212,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,35,United-States,<=50K -61,Private,54780,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -35,Private,393673,Some-college,10,Never-married,Tech-support,Other-relative,White,Female,0,0,40,United-States,<=50K -36,Private,66687,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -44,Private,133986,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,248694,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,212888,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K -51,Self-emp-inc,304955,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -23,Private,172232,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,53,United-States,<=50K -59,Private,32446,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,182701,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,12,Mexico,<=50K -23,Private,164920,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,15,Germany,<=50K -24,Private,274424,HS-grad,9,Never-married,Tech-support,Unmarried,White,Female,1831,0,40,United-States,<=50K -57,Private,176904,10th,6,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -28,Private,217530,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K -59,Private,318450,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -39,Private,210945,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,<=50K -26,Private,181838,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -17,Private,91931,11th,7,Never-married,Sales,Own-child,White,Female,0,0,23,United-States,<=50K -45,Self-emp-not-inc,123681,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -64,Local-gov,181628,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,<=50K -72,?,305145,Bachelors,13,Widowed,?,Not-in-family,White,Male,0,0,4,United-States,<=50K -55,Private,174533,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,94342,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,16,United-States,<=50K -43,Private,215624,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -46,Self-emp-not-inc,112485,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -54,Private,27484,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -26,Private,186454,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,4650,0,40,Vietnam,<=50K -28,State-gov,187746,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1669,40,United-States,<=50K -57,Private,358628,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,295939,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -61,Self-emp-not-inc,127198,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,<=50K -48,Private,81497,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,65,United-States,<=50K -30,Self-emp-not-inc,143078,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,2444,55,United-States,>50K -70,Self-emp-not-inc,177806,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -30,Local-gov,210926,9th,5,Divorced,Farming-fishing,Unmarried,White,Female,0,0,40,Mexico,<=50K -34,Private,195144,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,252563,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Self-emp-not-inc,170785,12th,8,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -19,Private,111232,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -59,Private,59584,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -48,Private,148254,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,1902,40,?,>50K -30,Local-gov,19302,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,70,Germany,>50K -52,Private,285224,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K -43,Private,172256,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K -51,State-gov,128260,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -25,Private,156163,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,?,<=50K -31,Private,155914,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,58471,HS-grad,9,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,282389,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,70,United-States,<=50K -40,Private,117915,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -40,Private,163628,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,287436,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -58,State-gov,139736,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,1741,40,United-States,<=50K -28,Local-gov,136643,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -43,Local-gov,180572,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -40,State-gov,148805,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -55,Private,497039,Some-college,10,Divorced,Tech-support,Unmarried,Black,Female,0,0,56,United-States,<=50K -18,Private,226956,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K -36,Private,157184,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,>50K -21,Private,315470,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -45,Private,252079,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -53,Private,138022,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,48520,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,346605,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -35,Private,139770,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,29,United-States,<=50K -41,Private,209899,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -44,Self-emp-not-inc,55844,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -61,Private,215789,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,126913,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -42,State-gov,101950,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -28,Private,451742,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Private,173754,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -51,Private,350131,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,2339,40,United-States,<=50K -32,Private,185820,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -35,Private,176837,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,271282,Bachelors,13,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,56,United-States,<=50K -25,?,420081,Assoc-acdm,12,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -38,State-gov,142282,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,State-gov,266855,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,>50K -36,Private,148143,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Female,0,0,40,United-States,<=50K -40,State-gov,21189,Bachelors,13,Divorced,Adm-clerical,Other-relative,Black,Female,0,0,32,United-States,<=50K -37,Private,110013,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,350400,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -51,Private,275507,Some-college,10,Divorced,Sales,Unmarried,Black,Female,0,0,50,United-States,<=50K -42,Private,169948,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,80,United-States,>50K -41,Private,298161,Assoc-voc,11,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,Cuba,<=50K -45,?,120131,HS-grad,9,Never-married,?,Other-relative,White,Male,0,0,25,United-States,<=50K -32,State-gov,113129,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,>50K -24,Private,201680,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -63,Private,158609,10th,6,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,20,United-States,<=50K -67,Self-emp-inc,22313,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,20051,0,40,United-States,>50K -36,Private,261012,HS-grad,9,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,50,United-States,<=50K -52,Private,104501,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -32,Private,50178,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -38,Private,65624,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -33,Private,236481,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,10,India,<=50K -50,Private,213041,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -55,Private,105127,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,?,127441,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,42,United-States,<=50K -30,Private,210541,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Self-emp-not-inc,163512,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,8,Guatemala,<=50K -36,Private,170376,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K -50,Private,132465,1st-4th,2,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,40,Mexico,<=50K -45,Private,253827,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -22,Private,186383,HS-grad,9,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,40,United-States,<=50K -34,Private,111985,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -37,Private,152909,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -57,Private,279340,7th-8th,4,Widowed,Other-service,Unmarried,Black,Female,0,0,29,United-States,<=50K -29,Private,154571,Some-college,10,Never-married,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,40,?,<=50K -31,Private,270889,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,241731,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -45,?,256649,Bachelors,13,Married-civ-spouse,?,Husband,Black,Male,0,0,45,United-States,>50K -31,Private,176711,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,359155,HS-grad,9,Separated,Transport-moving,Unmarried,White,Female,0,0,30,United-States,<=50K -30,State-gov,103651,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,138872,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -50,Private,180195,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -37,Local-gov,175979,Bachelors,13,Divorced,Prof-specialty,Other-relative,White,Female,0,0,60,United-States,<=50K -59,Local-gov,53612,Masters,14,Separated,Prof-specialty,Own-child,Black,Female,0,0,35,United-States,<=50K -18,Local-gov,28357,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,460322,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,43,United-States,<=50K -36,Private,182954,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,Dominican-Republic,<=50K -17,Private,242871,10th,6,Never-married,Sales,Own-child,White,Female,594,0,12,United-States,<=50K -55,Local-gov,30636,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,United-States,>50K -47,Local-gov,274657,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,White,Male,3908,0,40,United-States,<=50K -17,?,179807,10th,6,Never-married,?,Own-child,White,Female,0,0,16,United-States,<=50K -18,Private,230215,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -46,Federal-gov,260549,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,80,United-States,>50K -31,Private,408208,HS-grad,9,Never-married,Craft-repair,Other-relative,Black,Male,0,0,40,United-States,<=50K -61,Private,143837,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,203784,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,38,Mexico,<=50K -43,Federal-gov,190020,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -26,Private,666014,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -32,Private,50753,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -52,Federal-gov,197515,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,209476,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -67,Private,192995,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,6723,0,40,United-States,<=50K -25,Private,39640,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K -33,Private,203488,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -29,Private,125791,Assoc-acdm,12,Never-married,Exec-managerial,Other-relative,White,Female,0,0,38,United-States,<=50K -20,Private,167424,Some-college,10,Never-married,Priv-house-serv,Own-child,White,Female,0,0,40,United-States,<=50K -58,?,169590,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -56,?,174533,Bachelors,13,Never-married,?,Unmarried,White,Female,0,0,20,United-States,<=50K -37,Private,474568,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,?,>50K -36,Private,414910,7th-8th,4,Divorced,Sales,Not-in-family,Other,Female,0,0,35,United-States,<=50K -21,Self-emp-inc,95997,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K -26,Private,191797,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,16,United-States,<=50K -81,?,143732,1st-4th,2,Widowed,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -52,Private,65624,Assoc-acdm,12,Never-married,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -48,Private,352614,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,?,>50K -34,Private,301251,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -47,Private,98524,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,112512,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,>50K -37,Local-gov,170861,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -42,Private,244668,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Male,8614,0,40,Mexico,>50K -23,Private,148890,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,25,United-States,<=50K -37,Private,149898,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -45,Private,240629,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -28,Federal-gov,19522,Some-college,10,Never-married,Tech-support,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -89,Private,152839,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -54,Local-gov,105788,Masters,14,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,37,United-States,>50K -23,Private,314823,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,24,United-States,<=50K -20,?,287681,5th-6th,3,Never-married,?,Not-in-family,White,Male,0,0,25,Mexico,<=50K -50,?,313445,HS-grad,9,Separated,?,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -35,Private,289148,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,166193,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -31,Federal-gov,206857,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,150683,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,42,United-States,<=50K -52,Private,155759,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,?,211459,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -35,Private,191103,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,88856,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,40,United-States,>50K -41,Private,193882,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,65,United-States,>50K -57,State-gov,222792,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -22,Private,190137,HS-grad,9,Never-married,Sales,Own-child,Other,Male,0,0,40,United-States,<=50K -37,Private,174308,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -74,Private,172787,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Male,0,2282,35,United-States,>50K -56,Private,146391,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,Ireland,<=50K -33,Private,179708,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,<=50K -31,Local-gov,314375,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,30,United-States,<=50K -41,Local-gov,120277,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -26,Private,244906,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -59,Local-gov,251890,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,25,Puerto-Rico,<=50K -23,Private,220993,HS-grad,9,Married-civ-spouse,Sales,Not-in-family,Black,Male,0,0,60,United-States,<=50K -35,Private,309131,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -50,State-gov,263200,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,Ecuador,<=50K -52,Self-emp-not-inc,92469,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K -31,Private,32406,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -37,Private,235070,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,35,Haiti,<=50K -48,Private,196571,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Local-gov,258819,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,33945,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,452640,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -57,Self-emp-not-inc,112772,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -49,Self-emp-not-inc,34845,Assoc-voc,11,Divorced,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,<=50K -23,Private,119051,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -20,Private,197767,Some-college,10,Never-married,Sales,Not-in-family,Black,Female,0,0,36,United-States,<=50K -52,Local-gov,181578,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,40,?,>50K -56,Private,329654,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,7688,0,50,United-States,>50K -57,Federal-gov,47534,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,>50K -20,Private,341294,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,336042,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -41,Self-emp-inc,56019,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,99999,0,50,India,>50K -45,Private,86505,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,274106,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,Mexico,<=50K -62,Federal-gov,52765,9th,5,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Self-emp-inc,136848,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,6,United-States,<=50K -24,Private,298227,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -19,Self-emp-not-inc,215493,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,20,United-States,<=50K -20,?,197583,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -32,Private,265190,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,96921,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -53,Local-gov,202420,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -45,Private,252616,7th-8th,4,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,36,China,<=50K -39,Private,102976,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -55,Private,70439,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,>50K -30,Private,184290,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K -39,Federal-gov,72887,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -23,Local-gov,237498,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,45,United-States,<=50K -28,Self-emp-not-inc,228043,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K -42,Private,144056,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K -35,Private,187711,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,282489,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -29,Private,359155,Bachelors,13,Divorced,Tech-support,Unmarried,White,Female,0,0,20,United-States,<=50K -21,Self-emp-not-inc,87169,HS-grad,9,Never-married,Farming-fishing,Own-child,Asian-Pac-Islander,Male,0,0,35,United-States,<=50K -35,Private,251091,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,Puerto-Rico,<=50K -42,Private,130126,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,163265,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,30,United-States,<=50K -57,Private,250040,7th-8th,4,Divorced,Prof-specialty,Other-relative,White,Female,0,0,20,?,<=50K -59,?,218764,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,45,United-States,<=50K -50,Private,176773,Preschool,1,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,Haiti,<=50K -37,Self-emp-not-inc,98941,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -20,Private,217467,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,97176,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K -28,Private,230503,Some-college,10,Never-married,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,227321,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -20,Private,199698,9th,5,Never-married,Transport-moving,Unmarried,White,Male,0,0,35,United-States,<=50K -38,Local-gov,347491,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,103925,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Germany,<=50K -30,Private,124569,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,16,United-States,<=50K -35,Private,80680,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K -30,State-gov,119197,Masters,14,Divorced,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K -56,Private,147055,9th,5,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,316470,9th,5,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,40,Mexico,<=50K -64,Private,260082,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Cuba,<=50K -21,?,228960,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -17,?,256496,10th,6,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K -49,Private,133351,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,Black,Female,0,0,40,United-States,<=50K -37,Private,151835,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -52,?,224793,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,0,8,United-States,<=50K -55,Private,101480,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,33,United-States,<=50K -24,Private,138719,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -23,Private,129121,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -31,Private,401069,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,39,United-States,<=50K -17,?,188758,10th,6,Never-married,?,Own-child,White,Male,0,0,14,United-States,<=50K -50,Private,191598,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,1980,38,United-States,<=50K -33,Private,330715,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -24,Private,284317,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,393673,12th,8,Married-civ-spouse,Other-service,Wife,White,Female,0,0,45,United-States,<=50K -31,Self-emp-not-inc,206609,10th,6,Never-married,Transport-moving,Not-in-family,White,Male,0,2205,60,United-States,<=50K -77,?,88545,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -21,Private,224632,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,38,United-States,<=50K -18,Private,227529,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,10,United-States,<=50K -25,Private,210148,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -57,Private,224174,Assoc-voc,11,Widowed,Craft-repair,Not-in-family,Black,Male,0,0,40,?,<=50K -25,Private,193787,Some-college,10,Never-married,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,<=50K -62,Self-emp-not-inc,244953,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,20,United-States,<=50K -35,Private,223749,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,48,United-States,>50K -26,Private,37650,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,5060,0,40,United-States,<=50K -47,Private,358382,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -25,Private,155275,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,180574,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,101853,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,34161,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -50,Private,83311,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -61,Private,217125,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -50,Private,166368,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -23,?,44793,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,?,123147,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,25,United-States,<=50K -51,Private,184529,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1977,50,United-States,>50K -37,Private,224566,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,39,United-States,<=50K -25,Private,195994,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -38,Private,186376,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,42,United-States,>50K -60,Federal-gov,38749,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,99999,0,60,Philippines,>50K -66,?,78375,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K -74,Private,148867,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,6418,0,24,United-States,>50K -37,Private,207066,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,<=50K -26,Private,339423,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,172186,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -19,?,138564,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,8,United-States,<=50K -35,Private,208259,10th,6,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,36,United-States,<=50K -43,Local-gov,203376,Masters,14,Widowed,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Self-emp-inc,243165,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -35,Self-emp-inc,213008,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,159323,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,65,Canada,<=50K -22,Private,197050,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -36,Private,166855,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,163072,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,34,United-States,<=50K -36,Private,191807,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,75,United-States,<=50K -29,State-gov,48634,Bachelors,13,Never-married,Protective-serv,Own-child,White,Female,0,0,40,United-States,<=50K -30,Local-gov,287737,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Female,3325,0,40,United-States,<=50K -31,Private,162623,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -27,Private,104993,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K -44,?,256211,Assoc-voc,11,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,2129,40,Poland,<=50K -17,Private,298605,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -36,Private,115803,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,Private,183342,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -46,Self-emp-not-inc,115971,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,254547,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,20,United-States,<=50K -42,Private,211940,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -55,State-gov,136819,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,>50K -61,Self-emp-not-inc,186000,Assoc-voc,11,Widowed,Craft-repair,Unmarried,White,Female,0,0,40,Canada,<=50K -20,Private,289982,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,10,El-Salvador,<=50K -60,Private,137344,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,174413,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -33,Private,186993,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,51,United-States,<=50K -67,Self-emp-not-inc,176388,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -34,Private,49469,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -34,Private,83800,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K -38,Private,194809,Some-college,10,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -50,Private,194397,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,181363,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K -55,?,227243,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,35,Puerto-Rico,<=50K -18,Private,176136,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -26,?,102541,10th,6,Never-married,?,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -40,Private,166088,Assoc-voc,11,Widowed,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -37,Self-emp-inc,95634,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,Canada,<=50K -35,Private,66304,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -22,Private,64292,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,2176,0,25,United-States,<=50K -33,Private,41610,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Local-gov,198028,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -36,Private,228652,Some-college,10,Divorced,Machine-op-inspct,Own-child,Other,Male,0,0,40,Mexico,<=50K -41,Private,165815,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -39,Private,238255,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -63,Private,65740,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -52,Private,279543,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,Cuba,>50K -36,Private,114765,10th,6,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -27,Private,279580,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,42,Mexico,<=50K -19,Private,73257,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,15,Germany,<=50K -66,Private,80621,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -74,State-gov,193602,Some-college,10,Widowed,Exec-managerial,Not-in-family,Black,Male,15831,0,40,United-States,>50K -17,?,141445,9th,5,Never-married,?,Own-child,White,Male,0,0,5,United-States,<=50K -37,Private,224512,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -52,Self-emp-not-inc,98642,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,India,>50K -21,?,182288,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -44,Private,765214,Masters,14,Separated,Exec-managerial,Not-in-family,White,Male,0,2559,40,United-States,>50K -24,Private,224785,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1876,65,United-States,<=50K -19,?,285177,Some-college,10,Never-married,?,Own-child,White,Male,0,0,18,United-States,<=50K -31,Private,241880,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,45,United-States,<=50K -42,Self-emp-inc,201495,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -35,Private,165215,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,15,United-States,>50K -35,Self-emp-inc,99146,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -26,State-gov,92795,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,80,United-States,<=50K -39,Self-emp-not-inc,54022,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -38,Private,175268,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -39,Local-gov,123983,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -35,Private,269323,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,1887,40,United-States,>50K -40,Private,32798,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,45,United-States,<=50K -64,Private,101077,Prof-school,15,Widowed,Prof-specialty,Not-in-family,White,Female,0,2444,40,United-States,>50K -22,?,157332,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -49,Private,390746,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1672,45,Ireland,<=50K -26,Private,200318,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,<=50K -38,?,36425,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -44,Private,221172,5th-6th,3,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -34,Self-emp-inc,337995,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Male,15020,0,50,United-States,>50K -54,Private,64421,Some-college,10,Widowed,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,199915,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -64,Private,207658,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -22,Private,124810,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -40,Self-emp-inc,253060,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -36,Private,76878,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,40,United-States,>50K -20,?,38455,HS-grad,9,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K -49,Private,41294,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,205195,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -48,Private,162236,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -27,Private,445480,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,761800,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,188300,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,28,United-States,<=50K -36,Private,138088,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -53,Private,132304,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -32,Private,126173,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,259873,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -40,Private,122215,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -24,Private,190015,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,313132,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -35,Self-emp-not-inc,103323,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -17,?,44789,Some-college,10,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K -28,Private,192932,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,264025,HS-grad,9,Separated,Transport-moving,Unmarried,Black,Male,1506,0,80,United-States,<=50K -37,Private,30269,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,2174,0,50,United-States,<=50K -23,Private,283092,HS-grad,9,Never-married,Sales,Other-relative,Black,Male,0,0,40,Jamaica,<=50K -17,Private,125236,10th,6,Never-married,Sales,Own-child,White,Female,0,0,22,United-States,<=50K -47,Private,187308,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -43,Private,150519,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -39,Local-gov,32587,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,1485,40,United-States,>50K -37,Private,244803,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Columbia,<=50K -23,Private,316793,HS-grad,9,Married-civ-spouse,Sales,Wife,Black,Female,0,0,35,United-States,<=50K -41,Private,106068,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,191878,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K -30,?,159008,Bachelors,13,Married-spouse-absent,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -39,Private,181983,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Female,0,2559,60,England,>50K -65,Private,113293,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -61,Local-gov,224711,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,63,United-States,>50K -20,Private,460356,12th,8,Never-married,Other-service,Not-in-family,White,Male,0,0,30,Mexico,<=50K -37,Local-gov,184474,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,2977,0,55,United-States,<=50K -39,Private,289890,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -27,Private,183148,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,178109,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -54,Private,351760,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -39,Private,176967,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -17,Private,67444,11th,7,Never-married,Other-service,Other-relative,Black,Male,0,0,20,United-States,<=50K -23,Private,48343,HS-grad,9,Never-married,Sales,Not-in-family,Black,Female,0,0,27,?,<=50K -19,Private,1047822,11th,7,Never-married,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K -55,Local-gov,200448,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -36,Private,34364,Assoc-acdm,12,Separated,Tech-support,Not-in-family,White,Female,0,0,3,United-States,<=50K -27,Private,95725,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K -23,Private,124802,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -38,Local-gov,196673,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,55,United-States,<=50K -22,Private,196943,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,43819,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -53,Private,173020,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -67,Local-gov,102690,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -42,Private,199018,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,>50K -29,Private,201954,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,<=50K -31,Private,168854,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,1504,40,United-States,<=50K -22,Private,53702,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,154043,HS-grad,9,Widowed,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K -41,Self-emp-inc,64112,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -68,?,294420,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,0,2,United-States,<=50K -42,Self-emp-inc,325159,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -20,Private,267706,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -18,Private,70240,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -31,Private,213307,7th-8th,4,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,20,Mexico,<=50K -56,Private,192845,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K -23,Private,273010,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,?,177775,Assoc-voc,11,Never-married,?,Other-relative,White,Female,0,0,32,United-States,<=50K -22,?,393122,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -23,Private,345577,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,46,United-States,<=50K -54,Self-emp-not-inc,72257,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -34,Private,113129,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,38,United-States,>50K -36,Private,292380,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,10,United-States,<=50K -29,Private,121040,Assoc-voc,11,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -67,Private,142097,9th,5,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,6,United-States,<=50K -48,Federal-gov,34998,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,>50K -53,State-gov,41021,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,46,United-States,>50K -42,Private,152889,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,50,United-States,>50K -56,Private,436651,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -20,?,256504,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -40,Private,215479,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K -55,State-gov,100285,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,10520,0,40,United-States,>50K -61,Private,373099,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,99357,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -42,Private,67243,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Portugal,<=50K -32,Private,231263,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -19,Private,243942,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,194102,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,141748,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,40,United-States,>50K -22,Private,211013,HS-grad,9,Separated,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -23,Private,102652,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -49,Private,201127,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,70,United-States,<=50K -57,?,172667,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K -49,Local-gov,175958,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Italy,<=50K -34,Private,73928,10th,6,Separated,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,4,United-States,<=50K -46,Private,212944,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K -26,Private,544319,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,348960,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,41,United-States,<=50K -59,Private,280519,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -24,Private,155172,Assoc-acdm,12,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,106856,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,397346,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,253814,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K -23,Private,201490,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -19,Private,176806,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,107038,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,122194,Some-college,10,Married-civ-spouse,Craft-repair,Wife,White,Female,7298,0,40,United-States,>50K -28,Self-emp-not-inc,180928,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -62,Private,143746,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,183523,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K -35,Federal-gov,179262,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,190759,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K -53,Self-emp-inc,200400,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K -29,Private,166320,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -17,Private,205954,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,8,United-States,<=50K -45,Local-gov,251786,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K -20,Private,166371,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -27,?,135046,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K -59,Local-gov,170423,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,393673,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,115438,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,173944,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -26,?,292803,Some-college,10,Divorced,?,Other-relative,White,Female,0,0,35,United-States,<=50K -63,Private,149756,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K -39,Private,192251,Some-college,10,Divorced,Craft-repair,Own-child,White,Female,0,0,50,United-States,>50K -20,Private,163687,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,200421,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -53,Self-emp-inc,368014,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K -49,?,141483,10th,6,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -35,Federal-gov,191480,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -40,Private,202466,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -50,?,28765,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -35,Private,141584,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -38,Federal-gov,143123,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -47,Private,122194,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,State-gov,110171,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,40,United-States,>50K -43,Self-emp-inc,342510,Bachelors,13,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,60,United-States,>50K -20,Private,42279,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -33,Private,201122,HS-grad,9,Separated,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,254025,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K -50,Private,410114,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -60,Private,320422,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,6849,0,50,United-States,<=50K -56,Private,67153,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -37,Private,224406,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,211678,10th,6,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,64,United-States,<=50K -22,Private,257017,Assoc-voc,11,Never-married,Other-service,Other-relative,Black,Male,0,0,52,United-States,<=50K -48,Self-emp-inc,106232,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,48,United-States,>50K -27,State-gov,41115,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -18,Self-emp-not-inc,161245,12th,8,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K -41,Self-emp-not-inc,37618,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -33,Private,321787,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,123011,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -33,Local-gov,66278,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -25,Private,181054,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K -55,Self-emp-not-inc,129786,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -29,Private,245402,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,70,United-States,<=50K -24,?,192711,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,41,United-States,<=50K -41,Private,240124,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -29,Local-gov,370675,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -39,Self-emp-not-inc,34066,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,50,United-States,>50K -35,Private,53553,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,48,United-States,>50K -20,Private,319758,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,43556,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Self-emp-inc,97952,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,80,United-States,<=50K -44,Private,244522,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -32,Private,188108,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -35,Private,187022,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,State-gov,173422,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,38,United-States,<=50K -61,State-gov,103575,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,Germany,<=50K -20,Private,116830,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,43,United-States,<=50K -58,Private,219504,12th,8,Divorced,Transport-moving,Unmarried,Black,Male,0,0,45,United-States,>50K -48,Self-emp-not-inc,102102,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -26,Private,129661,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -28,State-gov,189346,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,113211,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K -45,Private,256866,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -18,Private,186408,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,1055,0,40,United-States,<=50K -23,Private,50411,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,118941,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -19,?,171868,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,20,United-States,<=50K -35,Private,99065,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K -22,Self-emp-not-inc,238917,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,220740,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K -69,Private,192660,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -39,Private,56962,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,43,United-States,>50K -21,?,156780,Some-college,10,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,15,?,<=50K -22,Private,122048,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,4416,0,40,United-States,<=50K -52,Private,172511,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,36,United-States,<=50K -44,Private,186790,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K -22,Private,196280,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -49,Private,61885,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -51,Private,143822,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -27,Private,315640,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,20,China,<=50K -34,Private,617917,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K -20,Private,35448,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K -22,Private,124483,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,2339,40,India,<=50K -68,Private,230904,11th,7,Widowed,Machine-op-inspct,Not-in-family,Black,Female,0,1870,35,United-States,<=50K -31,Private,164461,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,73,United-States,<=50K -22,Private,450695,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -62,?,352156,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,166634,HS-grad,9,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -46,Private,151107,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,1977,60,United-States,>50K -49,Private,219751,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,85604,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -54,Local-gov,231482,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K -24,Private,138152,9th,5,Never-married,Craft-repair,Other-relative,Other,Male,0,0,58,Guatemala,<=50K -27,Private,309196,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,91666,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,89734,Some-college,10,Never-married,Other-service,Other-relative,Amer-Indian-Eskimo,Male,0,0,42,United-States,<=50K -27,Private,79661,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4386,0,40,United-States,>50K -39,Private,197150,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,50,El-Salvador,<=50K -29,?,41281,Bachelors,13,Married-spouse-absent,?,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Private,53448,12th,8,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,50,China,<=50K -44,Self-emp-not-inc,255543,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,>50K -51,State-gov,367209,Doctorate,16,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,>50K -37,Private,226500,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -56,Private,292710,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -19,Private,235732,11th,7,Never-married,Adm-clerical,Unmarried,White,Female,0,0,15,United-States,<=50K -37,Private,301614,Bachelors,13,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -18,Private,261714,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -35,?,35751,1st-4th,2,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -28,Private,266316,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,3464,0,35,United-States,<=50K -40,Self-emp-inc,189941,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,60,United-States,>50K -50,Self-emp-not-inc,143535,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,234537,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,60,United-States,<=50K -57,Self-emp-not-inc,181435,11th,7,Divorced,Other-service,Unmarried,White,Male,4650,0,50,United-States,<=50K -40,Private,94210,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -44,Private,344060,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,27828,0,40,United-States,>50K -40,Private,301359,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -42,State-gov,184527,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -41,Federal-gov,333070,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,35,United-States,<=50K -23,Private,149574,Some-college,10,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -41,Self-emp-not-inc,34037,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K -41,Self-emp-not-inc,123502,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -29,Self-emp-not-inc,267661,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,75,United-States,<=50K -33,Private,109920,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -43,Private,134120,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,46,United-States,<=50K -18,Private,192254,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K -67,Self-emp-not-inc,94809,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,2346,0,33,United-States,<=50K -21,Private,183789,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,86643,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -22,?,190290,Some-college,10,Never-married,?,Own-child,White,Male,0,0,65,United-States,<=50K -64,?,228140,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -24,Private,198349,11th,7,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -44,Local-gov,113597,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Federal-gov,280567,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,4,United-States,<=50K -60,Private,298967,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,15,United-States,<=50K -31,Self-emp-not-inc,134615,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -74,Private,89852,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,11,United-States,<=50K -30,Private,289442,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,159109,11th,7,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -47,Private,105495,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -71,Private,155093,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -33,Private,312923,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,80,Mexico,<=50K -56,Private,202435,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,30,United-States,<=50K -24,Self-emp-not-inc,49154,11th,7,Never-married,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -37,Private,184456,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -52,Private,95329,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,India,<=50K -42,Private,173938,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -56,Private,373216,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,<=50K -52,Private,204226,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,State-gov,222745,Doctorate,16,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,56,United-States,<=50K -54,Private,106728,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,61287,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -68,Private,146011,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Female,3273,0,42,United-States,<=50K -38,Private,166744,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -44,Local-gov,54651,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -32,?,42894,11th,7,Married-civ-spouse,?,Wife,White,Female,0,0,15,United-States,<=50K -23,Private,131230,Bachelors,13,Never-married,Protective-serv,Own-child,White,Male,0,0,50,United-States,<=50K -69,Private,271312,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Private,163776,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,60,United-States,>50K -24,Private,230126,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,37718,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -43,Private,245975,9th,5,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,84,United-States,<=50K -59,State-gov,115439,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K -35,Private,97554,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -43,Private,109762,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,>50K -47,Private,138342,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -29,?,429696,Some-college,10,Married-civ-spouse,?,Own-child,Black,Female,0,0,14,United-States,<=50K -77,?,309955,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,1411,2,United-States,<=50K -48,Private,275154,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -40,Private,52849,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,?,>50K -23,State-gov,191165,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,15,United-States,<=50K -51,Private,277471,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,Private,171754,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,?,<=50K -44,Private,117936,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -24,Private,249956,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Self-emp-inc,170502,Masters,14,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,70,United-States,>50K -19,Private,202951,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -21,Private,396722,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -49,Private,93557,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -22,Private,103805,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,36,United-States,<=50K -59,Private,92141,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -51,Private,171924,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,50,United-States,>50K -38,Local-gov,173804,Bachelors,13,Divorced,Prof-specialty,Own-child,White,Female,0,0,38,United-States,<=50K -45,Private,139571,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -56,Self-emp-inc,142076,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -67,?,126514,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,4,United-States,<=50K -27,Local-gov,68729,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -21,Private,37783,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -55,Self-emp-not-inc,183580,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -31,Private,106637,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -57,Self-emp-not-inc,411604,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,Mexico,<=50K -33,Private,214635,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,?,<=50K -26,Private,201663,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -51,Private,153064,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5013,0,40,United-States,<=50K -35,Private,212465,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,?,93604,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -46,Private,141221,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -38,Local-gov,289653,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1628,48,United-States,<=50K -24,Private,219835,7th-8th,4,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,24,Guatemala,<=50K -38,State-gov,187119,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -49,Private,406518,HS-grad,9,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,16,Yugoslavia,<=50K -34,Self-emp-not-inc,372793,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,21,?,<=50K -55,?,229029,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,5178,0,20,United-States,>50K -51,Private,145105,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,30,United-States,<=50K -72,Private,171181,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,2329,0,20,United-States,<=50K -60,Private,80927,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -45,Private,191357,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,153542,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -49,Private,27802,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -46,Private,275792,Bachelors,13,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -62,Federal-gov,162876,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,197600,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -50,Private,134247,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -18,Private,179597,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -71,Private,148003,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,1911,38,United-States,>50K -30,Private,185177,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,22,United-States,<=50K -51,Private,133069,10th,6,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,177154,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,>50K -41,State-gov,29324,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -38,State-gov,54911,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,10,United-States,<=50K -49,Private,219611,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,>50K -42,State-gov,200294,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -53,Private,177063,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -21,Private,140001,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K -19,Private,237433,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,4416,0,40,United-States,<=50K -43,State-gov,99185,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,52291,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,7688,0,45,United-States,>50K -30,Private,247328,HS-grad,9,Separated,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K -63,Self-emp-not-inc,388594,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -53,Local-gov,130730,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,<=50K -23,Private,115458,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,113866,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -61,Private,284710,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,45,Columbia,>50K -60,Local-gov,168381,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -32,Private,167063,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,33794,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,>50K -36,Private,263574,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -24,Private,95552,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,245724,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3818,0,44,United-States,<=50K -59,Private,152731,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,366876,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,203488,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -38,Private,30529,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3411,0,40,United-States,<=50K -57,Private,201159,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -64,Self-emp-inc,182158,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K -48,Private,443377,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -28,Private,101618,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K -46,Self-emp-inc,132576,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1887,45,United-States,>50K -51,?,123429,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -55,Self-emp-inc,147098,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,2444,60,United-States,>50K -44,Private,30424,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,1980,40,United-States,<=50K -50,Private,68898,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,158864,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K -27,Federal-gov,180103,Assoc-voc,11,Never-married,Tech-support,Unmarried,Black,Male,1151,0,40,United-States,<=50K -52,Private,317625,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,80933,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,107373,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,>50K -32,Self-emp-not-inc,220148,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -44,Self-emp-inc,63503,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,Greece,>50K -63,Private,210350,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,32,Mexico,<=50K -60,Private,194589,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -55,Private,200453,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -77,Self-emp-not-inc,101575,12th,8,Divorced,Transport-moving,Not-in-family,White,Male,0,0,12,United-States,<=50K -55,Private,201232,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -51,Private,168553,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -35,Private,166606,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -26,?,104756,HS-grad,9,Married-AF-spouse,?,Wife,White,Female,0,1651,42,United-States,<=50K -33,Private,106014,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,100882,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,47,United-States,>50K -52,State-gov,108836,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,>50K -50,Private,271493,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Local-gov,204629,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,Canada,>50K -24,Private,153078,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -44,Private,148316,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,293485,HS-grad,9,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,32,United-States,<=50K -61,Local-gov,257105,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -60,Private,248160,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -18,?,104704,11th,7,Never-married,?,Own-child,Black,Male,0,0,25,United-States,<=50K -47,Private,209057,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,>50K -30,Federal-gov,243233,Some-college,10,Married-civ-spouse,Armed-Forces,Husband,White,Male,0,0,48,United-States,>50K -44,Private,204314,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,38,United-States,>50K -60,Private,108969,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -44,Private,103397,HS-grad,9,Divorced,Handlers-cleaners,Other-relative,White,Female,0,0,40,United-States,<=50K -33,Private,198452,Bachelors,13,Separated,Tech-support,Unmarried,White,Female,5455,0,40,United-States,<=50K -38,Private,216572,HS-grad,9,Separated,Priv-house-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K -42,Private,311920,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1485,17,United-States,>50K -45,Self-emp-inc,363298,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,45,United-States,>50K -40,Private,146906,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -40,Private,339814,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -60,Private,169408,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -40,Self-emp-not-inc,308296,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -45,Private,59380,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Self-emp-not-inc,195634,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,10520,0,20,United-States,>50K -31,Federal-gov,180656,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K -19,Private,144793,11th,7,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -24,Local-gov,56820,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,41414,9th,5,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -28,Self-emp-not-inc,160731,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -31,Private,175778,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,230238,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,46,United-States,<=50K -39,State-gov,372130,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,5013,0,56,United-States,<=50K -27,Private,167501,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -39,Private,141029,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -45,Private,135525,Masters,14,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,522881,Assoc-voc,11,Never-married,Exec-managerial,Other-relative,White,Male,0,0,40,Mexico,<=50K -67,Private,162009,10th,6,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,16,United-States,<=50K -28,Private,365745,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,68393,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,46,United-States,<=50K -48,Private,203576,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -24,State-gov,138513,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -66,?,188686,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,4,United-States,<=50K -23,Private,39551,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,127366,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -21,Private,183747,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,136331,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,81794,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -40,Private,222596,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -39,Private,108943,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,189092,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K -33,Private,152109,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -36,Private,195565,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -53,Private,255927,Bachelors,13,Widowed,Adm-clerical,Unmarried,White,Female,0,0,52,United-States,<=50K -32,Private,100734,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -52,Local-gov,266433,Some-college,10,Widowed,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,158672,11th,7,Separated,Other-service,Not-in-family,White,Male,0,0,38,Puerto-Rico,<=50K -35,Private,102268,12th,8,Divorced,Protective-serv,Other-relative,White,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,228399,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -28,Private,298510,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -75,Self-emp-inc,126225,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -43,Private,228456,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -22,Self-emp-inc,437161,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -43,Federal-gov,183608,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -40,Local-gov,174395,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -29,Private,221366,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,421010,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -44,Private,245333,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -33,Local-gov,352277,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,3103,0,45,United-States,>50K -38,Private,29874,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,>50K -29,Private,77322,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -34,Private,260560,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -27,Self-emp-inc,217848,12th,8,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -20,Private,283731,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,State-gov,190759,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,State-gov,109567,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -19,Self-emp-not-inc,209826,Some-college,10,Never-married,Farming-fishing,Own-child,White,Female,0,0,32,United-States,<=50K -27,Private,232801,10th,6,Divorced,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K -41,Private,154374,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K -35,Self-emp-inc,126738,Assoc-acdm,12,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K -26,Private,202156,HS-grad,9,Married-civ-spouse,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -32,Private,195447,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -23,?,113301,11th,7,Separated,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -23,Private,189203,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -21,Private,223019,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -58,Private,195878,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,24,Cuba,<=50K -58,Private,163150,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,28,United-States,<=50K -19,Self-emp-not-inc,139278,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -29,Private,196494,Some-college,10,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,36,United-States,<=50K -25,Federal-gov,303704,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,304082,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Peru,<=50K -18,Private,106943,11th,7,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K -23,Private,220993,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -52,Private,83984,Some-college,10,Married-civ-spouse,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -23,State-gov,340605,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,12,United-States,<=50K -18,Private,379710,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -39,Private,145933,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,55,United-States,>50K -34,Self-emp-not-inc,208068,9th,5,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Guatemala,<=50K -39,Private,172718,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,53285,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,139793,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,3418,0,38,United-States,<=50K -68,?,365350,5th-6th,3,Married-spouse-absent,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -32,Private,144064,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -29,Private,182676,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,38,Mexico,<=50K -29,Private,108574,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -31,Self-emp-not-inc,163845,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,344804,5th-6th,3,Married-spouse-absent,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -30,State-gov,252818,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Local-gov,114231,10th,6,Widowed,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -42,Private,111895,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -52,Private,128814,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K -37,Private,168941,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -27,Private,212578,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,1721,20,United-States,<=50K -32,?,251120,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K -19,Private,192773,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -37,State-gov,180667,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,186172,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -33,Private,309590,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,Jamaica,<=50K -40,Private,34178,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,>50K -44,Private,103759,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -34,State-gov,137900,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,>50K -60,Private,223911,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -48,Private,55720,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,2407,0,40,United-States,<=50K -39,Private,123535,11th,7,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,Guatemala,<=50K -24,Private,479296,9th,5,Never-married,Sales,Own-child,White,Male,0,0,48,United-States,<=50K -65,?,263125,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,2290,0,27,United-States,<=50K -63,?,174817,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K -28,Private,134890,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -33,Private,183887,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,1902,46,United-States,>50K -28,Private,55360,HS-grad,9,Never-married,Sales,Other-relative,Black,Male,0,0,40,United-States,<=50K -34,Private,113211,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -25,Private,224203,11th,7,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,<=50K -74,?,132112,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,48,United-States,<=50K -28,Private,113635,12th,8,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,52262,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Local-gov,202300,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,307761,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -48,Private,324655,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Private,23336,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -26,Private,206199,11th,7,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -38,Federal-gov,365430,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -53,Private,42740,Some-college,10,Separated,Other-service,Own-child,White,Female,0,0,39,United-States,<=50K -30,Private,160594,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -53,Self-emp-inc,202069,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,30,United-States,<=50K -22,?,142875,10th,6,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K -41,Self-emp-inc,60414,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,99,United-States,>50K -42,Private,340885,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -22,Private,194096,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -27,State-gov,222506,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,60,United-States,<=50K -44,Private,55191,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -58,Private,88572,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -28,Private,216757,Doctorate,16,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K -48,Private,57534,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -43,?,96321,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -41,Self-emp-not-inc,201908,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Local-gov,237868,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,285570,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,187625,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -24,Private,376755,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -56,Local-gov,137078,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,175943,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -27,Private,211208,11th,7,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,105821,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,36,United-States,<=50K -49,Private,205694,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,Canada,<=50K -39,Private,148485,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,142264,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,125892,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -66,Private,250226,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,16,United-States,<=50K -19,Private,300679,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K -18,Private,112626,Some-college,10,Never-married,Priv-house-serv,Own-child,White,Female,0,0,15,United-States,<=50K -47,Private,153883,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,7688,0,45,United-States,>50K -48,Private,103648,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,41,United-States,<=50K -26,State-gov,162487,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,?,<=50K -49,Local-gov,331650,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,9562,0,32,United-States,>50K -50,Self-emp-inc,171338,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -47,Self-emp-not-inc,178319,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,42,United-States,>50K -30,Private,217460,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,182653,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,20,United-States,<=50K -70,?,152837,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,20,United-States,<=50K -47,Private,459189,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -52,Private,87858,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,>50K -32,Private,125279,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,99,United-States,<=50K -39,Self-emp-not-inc,169542,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -47,Private,363418,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,England,>50K -42,Private,198282,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,104620,Masters,14,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,15,United-States,<=50K -29,Private,176137,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -27,?,168347,HS-grad,9,Separated,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -40,Private,191814,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K -42,Local-gov,150533,Masters,14,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,35,United-States,>50K -28,Private,115677,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1902,40,United-States,>50K -19,Private,182590,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,239648,Some-college,10,Never-married,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Male,0,0,40,Cambodia,<=50K -71,Private,139031,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Federal-gov,141340,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -64,Private,170645,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2105,0,40,United-States,<=50K -44,Local-gov,241506,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -72,Private,163921,Some-college,10,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,20,United-States,<=50K -64,Self-emp-not-inc,104958,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K -51,Private,144284,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,181139,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -55,Private,209962,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -34,Private,87218,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -36,Private,182189,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,196337,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -25,Private,238605,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -40,Private,106501,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,2829,0,50,United-States,<=50K -24,Private,172169,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -39,Private,242922,HS-grad,9,Never-married,Tech-support,Not-in-family,Black,Male,0,0,35,United-States,<=50K -56,Private,257555,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -25,Private,192302,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -38,Self-emp-inc,115487,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -22,Private,70160,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,410351,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K -25,Private,236421,12th,8,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -36,Private,196662,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,Puerto-Rico,<=50K -50,Self-emp-not-inc,203004,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,99999,0,60,United-States,>50K -22,Private,200819,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,222866,10th,6,Never-married,Farming-fishing,Other-relative,White,Male,0,0,40,United-States,<=50K -20,Private,204160,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K -54,Private,141707,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -32,Private,123157,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,30,?,<=50K -28,Private,219863,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -44,?,29841,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,50,United-States,<=50K -59,Private,35723,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,99999,0,40,United-States,>50K -52,Private,163948,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -19,?,255117,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -39,Private,100032,HS-grad,9,Married-civ-spouse,Protective-serv,Wife,White,Female,0,0,15,United-States,>50K -22,Private,33087,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -24,?,324469,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,38,United-States,<=50K -57,Private,337001,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -18,Private,151747,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -31,Local-gov,85057,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,>50K -25,Private,257910,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -37,Private,94331,12th,8,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,250261,1st-4th,2,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,55,Mexico,<=50K -32,Private,97359,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -53,State-gov,121294,7th-8th,4,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,45,Poland,<=50K -49,Self-emp-inc,211020,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -34,?,165295,7th-8th,4,Separated,?,Unmarried,White,Female,0,0,40,Mexico,<=50K -65,Self-emp-inc,116057,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,6723,0,40,United-States,<=50K -52,Private,469005,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,Mexico,<=50K -30,Local-gov,197886,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,379917,Assoc-voc,11,Never-married,Transport-moving,Not-in-family,White,Male,0,0,32,United-States,<=50K -28,Private,30912,Assoc-acdm,12,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,206889,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,87490,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -40,Local-gov,241851,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -42,Private,155899,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -25,Federal-gov,253135,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,?,<=50K -77,Local-gov,120408,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,20,United-States,<=50K -64,Private,77884,Assoc-voc,11,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -43,Private,162887,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -30,Private,154843,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,India,<=50K -43,Local-gov,115511,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2002,40,United-States,<=50K -40,Private,121492,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,48,United-States,<=50K -31,Private,103596,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -25,Private,457070,7th-8th,4,Divorced,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K -19,Private,73461,HS-grad,9,Never-married,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K -41,Self-emp-inc,153078,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,1887,70,South,>50K -51,Private,194788,10th,6,Divorced,Adm-clerical,Other-relative,White,Female,0,0,30,United-States,<=50K -31,Self-emp-not-inc,203181,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -35,Private,230279,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Private,89041,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -41,State-gov,92717,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,1504,40,United-States,<=50K -27,Private,257033,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,60,United-States,<=50K -40,Private,145166,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4064,0,40,United-States,<=50K -38,Private,20308,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -34,?,203784,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,38353,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,133373,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,>50K -60,?,167978,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,166302,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -17,Private,333304,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -31,Local-gov,265706,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Male,4650,0,40,United-States,<=50K -65,Self-emp-not-inc,111916,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,10,United-States,>50K -62,State-gov,213700,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -39,Private,276559,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,2444,45,United-States,>50K -36,Private,36989,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,181566,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4508,0,40,United-States,<=50K -23,Private,202920,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Germany,<=50K -32,Self-emp-not-inc,24529,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K -22,Private,137320,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -66,?,106791,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,160510,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -34,?,112584,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,233779,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -54,State-gov,276005,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -36,Self-emp-inc,192251,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,1902,15,United-States,>50K -70,?,308689,5th-6th,3,Married-civ-spouse,?,Husband,Black,Male,0,0,40,Cuba,<=50K -50,Private,274528,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -17,Private,23856,11th,7,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K -53,Private,175220,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,7688,0,48,Taiwan,>50K -41,Self-emp-not-inc,233150,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -26,Private,153169,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -59,Federal-gov,298449,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,43,United-States,<=50K -17,Private,188949,11th,7,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,157911,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -33,Private,243330,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K -40,Private,271343,Some-college,10,Separated,Tech-support,Own-child,White,Female,0,0,32,United-States,<=50K -48,Private,45564,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Male,4650,0,50,United-States,<=50K -47,Private,262043,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,103323,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,96480,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,60,United-States,>50K -47,Private,154117,HS-grad,9,Separated,Craft-repair,Other-relative,White,Female,0,0,40,United-States,<=50K -41,Private,151856,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,132053,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,1719,40,United-States,<=50K -29,Private,199118,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Guatemala,<=50K -36,Self-emp-not-inc,119272,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,<=50K -18,Private,209792,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,185084,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,>50K -41,Private,230931,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K -23,Private,162282,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,185366,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K -46,Private,93557,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,160428,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,43,United-States,<=50K -53,Private,159650,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,Local-gov,137678,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -48,Self-emp-not-inc,56841,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,33124,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Female,0,0,35,United-States,<=50K -31,Private,219117,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,5455,0,60,United-States,<=50K -43,Private,208045,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -43,Private,128578,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7688,0,60,United-States,>50K -28,Private,351731,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -46,Private,201694,Assoc-acdm,12,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,205152,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -73,?,30713,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -25,Private,190107,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -23,Federal-gov,244480,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,15,United-States,<=50K -32,Private,347112,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -37,Federal-gov,106297,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -36,Private,128516,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -27,Private,55950,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -29,Private,324505,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,130760,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -24,Local-gov,174413,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1974,40,United-States,<=50K -29,?,20877,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,35,United-States,<=50K -22,Private,144238,11th,7,Never-married,Farming-fishing,Own-child,White,Female,0,0,38,United-States,<=50K -47,Private,193047,Doctorate,16,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -43,Private,300099,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,?,369902,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,8,United-States,<=50K -56,Self-emp-not-inc,42166,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,171924,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Canada,>50K -50,Private,201984,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -29,Private,306420,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -32,Self-emp-not-inc,46746,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K -37,Private,185325,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -30,Private,201697,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,181372,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -39,Private,112077,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,370057,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,72591,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Local-gov,105803,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -20,Private,198478,HS-grad,9,Never-married,Farming-fishing,Other-relative,White,Male,0,0,40,United-States,<=50K -33,Private,119017,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K -42,Private,138872,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,<=50K -56,Federal-gov,97213,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -40,Private,36556,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -38,State-gov,200904,10th,6,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -49,Private,186256,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,30,United-States,<=50K -18,Private,115815,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,England,<=50K -42,Private,308770,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -25,Local-gov,187792,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,233571,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,1902,40,United-States,>50K -26,Private,131913,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -26,Private,31558,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,90,United-States,>50K -33,Private,255004,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,2354,0,61,United-States,<=50K -25,Local-gov,315287,Some-college,10,Never-married,Protective-serv,Other-relative,Black,Male,0,0,40,Trinadad&Tobago,<=50K -18,Private,182545,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -59,Private,750972,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -69,Self-emp-not-inc,505365,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,6514,0,45,United-States,>50K -22,Local-gov,177475,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,203761,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,36104,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Self-emp-inc,179708,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Self-emp-inc,77392,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -73,?,86709,Some-college,10,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,0,0,38,United-States,<=50K -59,Local-gov,173992,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -20,Private,119665,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,188391,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,46,United-States,<=50K -51,Private,326005,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,England,>50K -24,Private,203203,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -59,Private,64102,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,169188,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,35,United-States,<=50K -45,Private,385793,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K -25,Private,390537,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,25,El-Salvador,<=50K -29,Private,115677,11th,7,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,42,United-States,<=50K -22,Private,230248,Assoc-acdm,12,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -66,?,59056,10th,6,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -72,Private,108038,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,60,Cuba,>50K -39,Local-gov,282461,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -36,Private,184659,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -65,Private,182470,Assoc-voc,11,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,20,United-States,<=50K -63,Private,458609,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,3674,0,30,United-States,<=50K -58,Private,104476,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,1092,40,United-States,<=50K -27,Private,200802,Assoc-voc,11,Separated,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -58,Private,170608,10th,6,Separated,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Private,197322,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,118358,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -21,?,520231,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -61,Self-emp-not-inc,198017,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,?,<=50K -29,Private,131045,Assoc-voc,11,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -19,?,272166,Some-college,10,Never-married,?,Own-child,White,Male,0,1602,30,United-States,<=50K -30,Private,110083,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,335569,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,167159,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -50,Private,170326,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,319052,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Wife,Asian-Pac-Islander,Female,0,0,37,Philippines,<=50K -57,Private,174662,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,110732,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,50,United-States,<=50K -27,Federal-gov,409815,Some-college,10,Divorced,Adm-clerical,Other-relative,Black,Female,0,0,50,United-States,<=50K -28,Private,79874,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,37,United-States,<=50K -49,Private,116641,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,35,United-States,>50K -33,Private,87209,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -64,Local-gov,152172,10th,6,Married-civ-spouse,Machine-op-inspct,Wife,White,Male,0,0,40,?,<=50K -46,Self-emp-not-inc,142222,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,1151,0,60,United-States,<=50K -50,Local-gov,120521,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,50,United-States,>50K -43,Self-emp-not-inc,247752,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -26,Private,34161,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,589155,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -50,Private,149784,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,402522,1st-4th,2,Divorced,Farming-fishing,Unmarried,White,Male,0,0,40,Thailand,<=50K -28,Private,228346,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,415755,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,289653,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,45,United-States,>50K -17,Private,165018,10th,6,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K -19,Private,322866,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -45,Self-emp-not-inc,244813,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -27,Private,538193,11th,7,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,50,United-States,<=50K -45,Private,256367,12th,8,Divorced,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K -46,Private,95864,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -57,Self-emp-not-inc,291167,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,126569,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Poland,<=50K -34,Private,128016,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,99999,0,40,United-States,>50K -18,?,323584,Some-college,10,Never-married,?,Own-child,White,Male,0,0,10,United-States,<=50K -65,?,115431,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -26,Private,246156,10th,6,Never-married,Craft-repair,Other-relative,White,Male,0,0,24,Honduras,<=50K -44,Private,346081,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -38,Local-gov,156383,Some-college,10,Never-married,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K -49,Private,151267,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -41,Local-gov,249039,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Federal-gov,157454,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,143540,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -72,State-gov,120733,7th-8th,4,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -48,Private,344381,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,42,United-States,>50K -32,Private,149787,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -22,Private,268525,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -24,Private,396099,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,35,United-States,<=50K -24,Private,221442,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,36,United-States,<=50K -55,Private,115198,9th,5,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,48,United-States,<=50K -48,Federal-gov,102359,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -42,Local-gov,298885,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -34,Private,93213,Masters,14,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -40,Private,130760,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,<=50K -29,?,236834,Some-college,10,Divorced,?,Own-child,White,Female,0,0,15,United-States,<=50K -39,Self-emp-inc,31709,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K -45,Private,192053,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,95918,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,43,Germany,<=50K -36,Self-emp-inc,132879,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,1887,40,United-States,>50K -28,Private,64940,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -57,Private,106910,HS-grad,9,Divorced,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -22,Private,210474,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Local-gov,393965,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K -23,Local-gov,117789,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -35,Self-emp-not-inc,134498,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,>50K -28,Private,212068,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1980,40,United-States,<=50K -27,Private,169544,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -76,?,32995,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,5,United-States,<=50K -37,Private,261241,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,1485,50,United-States,<=50K -43,Private,145784,HS-grad,9,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,?,<=50K -33,Private,252646,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -56,Private,161944,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -50,Self-emp-inc,249644,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -35,Private,195081,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,Private,428251,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -59,Self-emp-not-inc,198145,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -42,Private,348059,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -21,Private,43587,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -24,Private,318612,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,1504,40,United-States,<=50K -17,?,235661,10th,6,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -29,Private,129528,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,Private,200427,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -35,Private,188243,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,48,United-States,<=50K -56,Self-emp-not-inc,306633,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,85019,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K -22,?,356286,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,10,United-States,<=50K -45,Private,102771,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Local-gov,34739,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,36,United-States,<=50K -22,?,201959,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -28,Private,126743,5th-6th,3,Never-married,Other-service,Other-relative,White,Male,2176,0,52,Mexico,<=50K -46,Local-gov,85341,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,56,United-States,<=50K -57,Private,275943,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,82823,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,5013,0,30,United-States,<=50K -30,Private,183388,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,116489,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -62,Self-emp-not-inc,215789,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -19,Private,365871,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,32,United-States,<=50K -63,Local-gov,199275,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,8614,0,38,United-States,>50K -39,Self-emp-not-inc,34111,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -72,?,314567,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,8,United-States,<=50K -40,Self-emp-inc,102576,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,55,Trinadad&Tobago,<=50K -27,Private,103524,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,35,United-States,<=50K -47,Self-emp-not-inc,114222,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K -28,Private,246933,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,107812,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -26,Self-emp-not-inc,109162,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K -59,Private,112798,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,<=50K -33,Private,30612,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,105994,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Private,113090,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -30,Private,26252,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -31,Private,49469,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K -24,Private,172169,Some-college,10,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,30,United-States,<=50K -36,Private,151029,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K -46,Private,134242,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,State-gov,87282,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -19,Private,84250,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K -33,Private,76107,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,60,United-States,>50K -59,Self-emp-inc,36085,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K -32,Private,220333,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,46,United-States,>50K -58,Private,105363,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Portugal,<=50K -19,Private,198668,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,47,United-States,<=50K -43,Private,157473,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,126568,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Self-emp-inc,220896,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -57,Federal-gov,236048,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,34218,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,99999,0,80,United-States,>50K -62,Private,155915,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,139684,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -34,Private,23778,Bachelors,13,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -24,Private,236804,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -78,Private,454321,1st-4th,2,Widowed,Handlers-cleaners,Other-relative,White,Male,0,0,20,Nicaragua,<=50K -43,Private,229148,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,50,Outlying-US(Guam-USVI-etc),<=50K -60,Local-gov,119986,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -39,Local-gov,455399,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,15024,0,40,United-States,>50K -21,Private,301694,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,Mexico,<=50K -64,?,155142,HS-grad,9,Widowed,?,Not-in-family,Black,Male,0,0,20,United-States,<=50K -27,Private,259652,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,State-gov,156642,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,39,United-States,<=50K -37,Private,94208,1st-4th,2,Divorced,Other-service,Unmarried,White,Female,0,0,35,Mexico,<=50K -31,Private,117719,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Portugal,<=50K -27,Local-gov,100817,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -31,Private,144990,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -37,Self-emp-inc,198841,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -43,Private,223881,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,United-States,>50K -18,Private,264017,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,16,Canada,<=50K -23,State-gov,26842,Assoc-voc,11,Married-AF-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K -40,Private,477345,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,2057,40,Mexico,<=50K -22,Private,267412,Preschool,1,Never-married,Other-service,Own-child,Black,Female,594,0,20,Jamaica,<=50K -61,Self-emp-inc,190610,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -63,Private,281237,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -59,Private,254593,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -33,Private,159187,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,54,United-States,>50K -51,State-gov,200450,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -38,Local-gov,140854,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -52,Private,242517,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,40,United-States,>50K -47,Self-emp-not-inc,294671,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -20,State-gov,68358,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -53,Private,107096,Bachelors,13,Never-married,Sales,Unmarried,White,Male,0,1669,50,United-States,<=50K -43,Private,244419,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -26,Self-emp-not-inc,195636,10th,6,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,75,United-States,>50K -39,Private,368586,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Female,0,0,37,Puerto-Rico,<=50K -30,Private,215808,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,60,United-States,<=50K -45,Private,165822,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -25,Private,193379,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,120121,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -25,Local-gov,311603,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K -48,Private,323798,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,38,United-States,>50K -32,Private,253890,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -67,?,105252,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -37,Private,220696,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,194097,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,>50K -28,Private,181291,Some-college,10,Married-civ-spouse,Other-service,Own-child,White,Female,7688,0,40,United-States,>50K -28,Private,258594,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -28,Private,138976,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,48,United-States,<=50K -22,Private,81145,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,250853,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,?,365739,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,257863,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -27,Private,203697,Masters,14,Never-married,Tech-support,Own-child,White,Male,0,0,50,United-States,<=50K -54,Private,87205,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -66,Self-emp-not-inc,195161,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,?,<=50K -41,Private,470486,1st-4th,2,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,1719,40,Mexico,<=50K -46,Local-gov,93557,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,50,United-States,>50K -39,Private,107991,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -51,Private,63081,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -26,Private,73988,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,136080,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,50,United-States,<=50K -38,State-gov,49115,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,27,United-States,<=50K -30,Private,314649,HS-grad,9,Married-spouse-absent,Farming-fishing,Unmarried,Asian-Pac-Islander,Male,0,0,40,?,<=50K -18,Private,166224,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -44,?,118484,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,80,United-States,<=50K -56,Local-gov,291529,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -41,Self-emp-not-inc,252392,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,96,Mexico,<=50K -42,Private,86912,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,193537,9th,5,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,50,Puerto-Rico,<=50K -33,Private,83231,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -43,Private,325461,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -21,Private,36011,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,274869,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,178322,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -38,Private,67666,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,38,United-States,<=50K -33,Private,153005,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,138269,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -33,Private,265204,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -43,Private,437318,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -38,Private,208109,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K -50,Self-emp-not-inc,91103,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,51,United-States,>50K -57,State-gov,388225,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -76,Self-emp-not-inc,42162,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,2,United-States,<=50K -52,Self-emp-not-inc,417227,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -36,State-gov,180220,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,187560,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -39,Private,127573,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,2202,0,45,United-States,<=50K -51,Federal-gov,68898,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Private,78662,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,40,Mexico,<=50K -56,Private,158776,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -28,Private,164575,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,328301,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,213897,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,50,Japan,>50K -40,Private,230684,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -23,Private,381679,Some-college,10,Never-married,Tech-support,Other-relative,White,Female,0,0,40,United-States,<=50K -44,Local-gov,360884,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -36,State-gov,256992,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -31,Private,112115,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,113577,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,189382,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -45,Private,201080,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -46,Private,344415,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -57,Private,201232,HS-grad,9,Married-civ-spouse,Priv-house-serv,Husband,White,Male,0,0,30,United-States,<=50K -20,Private,332194,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,20,United-States,<=50K -30,Private,216864,9th,5,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -60,Private,290922,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,27,United-States,<=50K -42,Local-gov,223548,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,109419,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,8614,0,45,United-States,>50K -27,Private,135296,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -59,State-gov,100270,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -18,Private,99497,12th,8,Never-married,Other-service,Own-child,Other,Female,0,0,30,United-States,<=50K -26,?,223665,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,84,United-States,<=50K -48,Self-emp-inc,341762,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -41,Private,236483,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,?,311570,HS-grad,9,Married-civ-spouse,?,Other-relative,White,Female,0,0,32,United-States,<=50K -36,Private,588739,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,India,<=50K -44,Self-emp-inc,79521,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,15024,0,55,United-States,>50K -36,Private,327435,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -32,Private,229636,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,5013,0,60,United-States,<=50K -26,Private,124483,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,25,India,<=50K -58,Private,218764,Assoc-voc,11,Widowed,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K -39,State-gov,178100,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,?,197057,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,30,United-States,<=50K -39,Private,191161,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,55,United-States,<=50K -65,Private,266828,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,1848,0,40,United-States,<=50K -29,Private,251526,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,20,United-States,<=50K -22,?,145964,HS-grad,9,Never-married,?,Unmarried,White,Male,0,0,40,United-States,<=50K -23,Private,307149,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,25,United-States,<=50K -36,Private,37238,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,42,United-States,<=50K -32,Private,129020,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,209432,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -38,Private,139364,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K -25,Federal-gov,169124,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,116391,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Private,176025,HS-grad,9,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -66,Self-emp-not-inc,44712,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,15,United-States,<=50K -35,Self-emp-not-inc,190759,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,185692,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -17,Private,80576,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -31,Private,282173,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -20,Private,187158,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,214468,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -59,Self-emp-not-inc,185410,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K -37,Private,87757,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -42,Private,449578,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -31,Private,309028,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,155293,12th,8,Divorced,Sales,Not-in-family,White,Female,0,1762,45,United-States,<=50K -46,Private,32825,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -36,Private,216845,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -45,State-gov,149640,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,>50K -19,State-gov,140985,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -38,Private,218188,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -27,State-gov,187327,HS-grad,9,Separated,Protective-serv,Not-in-family,White,Male,0,0,45,United-States,<=50K -33,Private,182511,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -55,Self-emp-not-inc,157639,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,58,United-States,<=50K -46,Local-gov,258498,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,87632,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,228394,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,36,United-States,<=50K -59,State-gov,200732,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,Philippines,>50K -36,Private,49657,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -27,Local-gov,106179,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -21,Private,135267,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K -65,?,486436,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,>50K -29,Private,69757,Bachelors,13,Divorced,Exec-managerial,Other-relative,White,Female,0,0,50,United-States,<=50K -53,Private,190319,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,1485,40,Thailand,>50K -20,Private,188409,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -54,Private,181246,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,103573,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,180725,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -26,State-gov,34862,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,38,?,<=50K -55,Self-emp-inc,275236,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -40,Self-emp-not-inc,76487,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -37,Federal-gov,75073,Assoc-acdm,12,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,42,United-States,<=50K -23,Private,231929,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,186410,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K -42,Self-emp-not-inc,344624,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,99,United-States,>50K -66,Private,97847,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K -30,Private,387521,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -25,?,193511,Bachelors,13,Never-married,?,Own-child,White,Female,0,0,35,El-Salvador,<=50K -20,Private,325033,12th,8,Never-married,Other-service,Own-child,Black,Male,0,0,35,United-States,>50K -37,Private,285637,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,50,United-States,<=50K -20,Private,186014,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -27,Private,203160,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -20,?,190290,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K -33,Private,219553,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -53,Private,290882,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -54,Private,133403,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1902,35,United-States,<=50K -33,Private,150154,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,203076,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,158592,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -23,Federal-gov,215115,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -20,Private,117476,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,159269,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,18,United-States,<=50K -24,Private,189924,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Female,0,0,60,United-States,<=50K -32,Local-gov,226296,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -38,Private,103886,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Federal-gov,148508,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,79586,Some-college,10,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,35,India,>50K -40,?,95049,Assoc-voc,11,Separated,?,Own-child,White,Female,0,0,40,?,<=50K -45,Self-emp-inc,192835,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -21,Private,316184,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K -49,Private,132476,Doctorate,16,Divorced,Tech-support,Unmarried,White,Male,7430,0,40,United-States,>50K -44,Private,76487,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,302712,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -42,Private,225193,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,102092,11th,7,Widowed,Craft-repair,Not-in-family,White,Male,2174,0,40,United-States,<=50K -51,Private,173754,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -20,Private,38238,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -41,Private,212027,11th,7,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -25,Private,173593,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,75,United-States,<=50K -27,Local-gov,132718,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -23,Private,103588,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -37,Local-gov,75387,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,38444,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,10,United-States,<=50K -21,Private,35603,HS-grad,9,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,11,United-States,<=50K -24,Private,588484,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,594,0,40,United-States,<=50K -62,?,191118,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -70,?,88638,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,8,United-States,<=50K -61,Private,27086,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -63,Private,184319,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,24,United-States,<=50K -31,Private,307375,Some-college,10,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -17,Private,93511,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -23,Private,32950,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,313945,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Local-gov,275517,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,72,United-States,<=50K -55,Private,132145,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -37,Self-emp-not-inc,377798,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -48,Private,198000,Bachelors,13,Never-married,Sales,Other-relative,White,Female,0,0,38,United-States,>50K -67,Private,166591,HS-grad,9,Divorced,Priv-house-serv,Unmarried,Black,Female,1848,0,99,United-States,<=50K -72,Self-emp-not-inc,117030,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -31,Local-gov,275369,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K -24,Private,300584,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -27,Local-gov,230997,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -32,Private,73199,12th,8,Never-married,Farming-fishing,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -61,Private,362068,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -34,Private,162604,HS-grad,9,Never-married,Craft-repair,Other-relative,Black,Male,0,0,40,United-States,<=50K -40,Private,86143,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -39,Private,116477,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Self-emp-not-inc,102308,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,35,United-States,>50K -57,Self-emp-inc,199067,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,90,Greece,>50K -47,Private,205100,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -38,Private,127493,Assoc-acdm,12,Widowed,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -77,Self-emp-not-inc,34761,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,221480,Some-college,10,Never-married,Tech-support,Unmarried,White,Female,0,0,8,United-States,<=50K -37,Self-emp-not-inc,216473,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -43,Self-emp-inc,147206,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,27828,0,45,United-States,>50K -50,Private,162868,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K -68,Self-emp-not-inc,335701,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Private,250322,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Local-gov,182856,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,10520,0,45,United-States,>50K -24,Private,97743,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,37,United-States,<=50K -42,Private,227065,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,<=50K -51,Private,59840,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,2174,0,40,United-States,<=50K -26,Private,140446,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,United-States,<=50K -32,Federal-gov,86150,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,1977,40,United-States,>50K -51,Private,147876,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,219199,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,28497,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,8,United-States,<=50K -27,Private,405177,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -29,Private,320451,Bachelors,13,Married-spouse-absent,Sales,Other-relative,Asian-Pac-Islander,Male,0,0,40,?,<=50K -71,Self-emp-not-inc,30661,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,6514,0,40,United-States,>50K -30,Local-gov,38268,HS-grad,9,Separated,Other-service,Unmarried,White,Male,0,0,40,United-States,>50K -42,Private,199900,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K -39,Self-emp-inc,172538,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -17,Private,194517,11th,7,Never-married,Farming-fishing,Own-child,White,Female,0,0,18,United-States,<=50K -20,Private,129024,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -37,Private,203828,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -40,Private,146659,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,29261,Assoc-acdm,12,Never-married,Other-service,Other-relative,White,Male,0,0,42,United-States,<=50K -19,Private,366109,10th,6,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -29,Private,212091,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,202872,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,36,United-States,>50K -31,Private,373903,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -41,Private,289403,HS-grad,9,Divorced,Tech-support,Not-in-family,Black,Male,0,0,40,?,<=50K -21,Private,60552,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,188325,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -21,?,398480,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -37,Federal-gov,254202,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,27828,0,50,United-States,>50K -41,Self-emp-inc,277858,Bachelors,13,Widowed,Exec-managerial,Not-in-family,Black,Female,0,0,45,United-States,<=50K -50,Private,102346,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,36,?,<=50K -34,Private,226629,12th,8,Separated,Sales,Unmarried,White,Female,0,0,34,United-States,<=50K -47,Private,219632,1st-4th,2,Widowed,Machine-op-inspct,Unmarried,White,Male,0,0,40,Mexico,<=50K -21,Private,449101,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,330535,Doctorate,16,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,>50K -38,Private,202937,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -43,Federal-gov,269733,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Self-emp-not-inc,355856,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -48,Self-emp-inc,275100,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,Greece,>50K -30,State-gov,136997,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,136931,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,38,Thailand,<=50K -31,?,346736,HS-grad,9,Never-married,?,Other-relative,White,Female,0,0,45,United-States,<=50K -30,Local-gov,264936,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,269722,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,38,United-States,<=50K -28,Private,251905,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K -57,Private,180636,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,116915,Some-college,10,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,182516,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -49,Local-gov,199862,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2179,40,United-States,<=50K -44,Private,127482,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,7688,0,40,United-States,>50K -44,Private,142968,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -18,Private,115258,10th,6,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -45,Private,190822,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,31,United-States,<=50K -50,Local-gov,68898,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -17,Self-emp-inc,151999,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K -28,Self-emp-not-inc,236471,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Local-gov,29075,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Amer-Indian-Eskimo,Female,5013,0,40,United-States,<=50K -43,State-gov,186990,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,37,United-States,<=50K -48,Private,210369,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -57,?,179644,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,0,5,United-States,<=50K -28,Private,119128,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,188386,HS-grad,9,Divorced,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,120645,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -58,Local-gov,303176,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,358434,Bachelors,13,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -57,Private,36091,HS-grad,9,Separated,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -48,Private,250648,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -49,Private,131918,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -40,Self-emp-not-inc,151504,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -41,Private,161880,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,50,United-States,<=50K -45,Private,123681,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,94090,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -22,?,129980,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,25,United-States,<=50K -50,Private,237258,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,27828,0,48,United-States,>50K -65,Self-emp-not-inc,147377,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,16,United-States,<=50K -36,Federal-gov,253627,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Puerto-Rico,>50K -63,?,528618,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,27881,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -28,Private,79874,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,156981,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -46,Local-gov,195418,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -37,Private,175185,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,273796,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,>50K -37,State-gov,373699,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -31,Private,82508,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,162551,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Hong,<=50K -24,Private,166297,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,25,United-States,<=50K -25,Local-gov,100125,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,175690,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -45,Private,184441,7th-8th,4,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,42,United-States,<=50K -28,Self-emp-inc,167737,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,5178,0,40,United-States,>50K -58,Private,186121,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,177851,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -35,Private,106961,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -54,Private,419712,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -40,Local-gov,208875,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -24,Private,373628,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,1504,40,United-States,<=50K -26,Private,331861,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,England,<=50K -29,Private,249948,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -50,Private,99316,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,252570,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -17,Private,89160,12th,8,Never-married,Priv-house-serv,Own-child,White,Female,0,0,18,United-States,<=50K -25,Private,49092,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,87757,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,806552,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -45,Self-emp-not-inc,70754,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,60,United-States,>50K -28,Private,150437,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K -71,?,46836,7th-8th,4,Separated,?,Not-in-family,Black,Male,0,0,15,United-States,<=50K -34,State-gov,117186,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -49,Private,239625,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -39,Private,128483,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,60,United-States,<=50K -17,Private,53367,12th,8,Never-married,Other-service,Other-relative,White,Female,0,0,25,United-States,<=50K -20,Private,358355,9th,5,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -53,Private,139522,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,1573,40,Italy,<=50K -26,Private,93017,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,101320,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,1564,40,Canada,>50K -57,Self-emp-inc,105582,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,40,United-States,>50K -40,Private,121718,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K -19,Private,111836,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,35,United-States,<=50K -58,Private,96840,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Female,0,0,37,United-States,<=50K -62,Local-gov,176839,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,10,United-States,<=50K -41,Local-gov,193553,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,64,United-States,>50K -46,Private,168232,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Self-emp-not-inc,146325,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Yugoslavia,>50K -33,Private,111567,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -58,Private,478354,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K -30,Private,209768,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -27,Private,188909,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -32,Self-emp-not-inc,321313,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -19,?,264228,Some-college,10,Never-married,?,Own-child,White,Female,0,0,12,United-States,<=50K -22,Private,345066,10th,6,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -56,Self-emp-not-inc,32855,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -33,Self-emp-inc,287372,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -36,Private,214807,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Local-gov,275110,Some-college,10,Married-civ-spouse,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K -32,Private,352089,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -33,State-gov,110171,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,1092,40,United-States,<=50K -20,Private,211391,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -51,Private,91506,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,40,United-States,>50K -52,Private,180949,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -64,Self-emp-inc,169072,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,264554,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -38,Private,99065,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,>50K -30,Private,201122,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -67,Self-emp-inc,323636,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,15,Canada,<=50K -37,Local-gov,184112,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -55,Private,243367,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,37,United-States,<=50K -25,State-gov,149248,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -41,Local-gov,248748,Bachelors,13,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Private,242616,Bachelors,13,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,207246,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1902,40,United-States,>50K -75,Self-emp-not-inc,343631,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,15,United-States,<=50K -53,Private,403121,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -36,Self-emp-not-inc,184435,11th,7,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,181405,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -67,Self-emp-not-inc,75140,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K -29,Self-emp-not-inc,467936,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,?,<=50K -32,Self-emp-not-inc,181212,Some-college,10,Separated,Farming-fishing,Unmarried,White,Female,0,0,65,United-States,<=50K -42,Private,324421,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K -41,Private,344624,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -46,Private,98735,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -48,Local-gov,186172,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -55,Federal-gov,107157,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -68,?,353871,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Self-emp-not-inc,175958,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -62,Private,252134,7th-8th,4,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,Cuba,<=50K -30,Private,95923,Assoc-acdm,12,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -56,Local-gov,203250,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,296212,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,48,United-States,<=50K -22,Private,333838,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Private,345730,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -53,Federal-gov,128141,Bachelors,13,Separated,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -53,Private,249347,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,Cuba,>50K -51,Private,171914,9th,5,Widowed,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -41,Private,344519,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,13550,0,60,United-States,>50K -34,Self-emp-inc,196385,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,87546,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -40,Self-emp-not-inc,85668,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,126613,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -28,Private,239753,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Private,162796,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -52,Federal-gov,197189,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,44,United-States,>50K -33,State-gov,25806,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,20,?,<=50K -28,Private,89813,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,State-gov,142167,Masters,14,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,?,<=50K -40,Private,171589,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -60,Private,203985,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -24,Private,394191,12th,8,Never-married,Transport-moving,Own-child,White,Male,0,0,55,Germany,<=50K -50,Private,155433,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,39581,Bachelors,13,Separated,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -19,Private,305834,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Self-emp-inc,200220,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K -33,Private,229732,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,190333,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -51,Private,155983,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -44,Private,211351,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,4386,0,40,United-States,>50K -19,?,505168,9th,5,Never-married,?,Other-relative,White,Female,0,0,40,United-States,<=50K -49,Private,256417,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,40,Mexico,<=50K -17,?,165069,10th,6,Never-married,?,Own-child,White,Male,0,1721,40,United-States,<=50K -20,Private,249385,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,20,United-States,<=50K -53,Private,168723,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -25,Private,165866,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,20,United-States,<=50K -48,Private,48553,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,72,United-States,<=50K -27,Private,244751,HS-grad,9,Never-married,Adm-clerical,Own-child,Other,Male,0,0,40,United-States,<=50K -21,Private,228230,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -29,Private,152951,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -47,State-gov,29023,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -48,Self-emp-not-inc,136455,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,60,United-States,<=50K -38,?,245372,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,75,United-States,>50K -19,?,155863,Some-college,10,Never-married,?,Own-child,White,Female,0,1602,30,United-States,<=50K -37,Private,126675,Some-college,10,Widowed,Machine-op-inspct,Other-relative,White,Male,0,0,40,?,<=50K -37,Private,184659,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5013,0,44,United-States,<=50K -39,Federal-gov,33289,HS-grad,9,Widowed,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,<=50K -35,Private,111377,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,103651,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K -56,Private,53481,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,238917,5th-6th,3,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,El-Salvador,<=50K -25,Private,167495,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Federal-gov,114222,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,>50K -32,Private,182323,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -24,Private,137589,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -32,Private,181091,Bachelors,13,Never-married,Sales,Own-child,White,Male,13550,0,35,United-States,>50K -41,Private,156580,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,Dominican-Republic,<=50K -32,Private,210926,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,>50K -37,Self-emp-not-inc,255503,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K -39,Private,116546,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -66,Self-emp-not-inc,34218,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -18,?,305327,Some-college,10,Never-married,?,Own-child,Other,Female,0,0,25,United-States,<=50K -23,Private,107882,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,858091,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -45,Private,79646,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -42,Private,103089,Some-college,10,Separated,Prof-specialty,Unmarried,White,Female,1506,0,40,United-States,<=50K -40,Self-emp-not-inc,145441,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,30,United-States,<=50K -20,State-gov,117210,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,379246,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,130018,11th,7,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -40,Private,121466,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,339518,Assoc-acdm,12,Married-spouse-absent,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -33,Private,388672,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -56,Self-emp-not-inc,190091,Assoc-voc,11,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,46,United-States,<=50K -27,Private,197918,11th,7,Never-married,Craft-repair,Unmarried,Black,Male,0,0,47,United-States,<=50K -31,Private,361497,7th-8th,4,Never-married,Farming-fishing,Other-relative,White,Male,0,0,60,Portugal,<=50K -61,?,451327,Bachelors,13,Married-civ-spouse,?,Husband,Other,Male,0,0,24,United-States,>50K -22,Private,340217,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -32,Self-emp-not-inc,63516,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K -29,Private,269786,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Local-gov,63338,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -56,Private,179127,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Italy,<=50K -35,Private,124090,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,<=50K -25,Private,215188,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -22,Private,482082,11th,7,Married-civ-spouse,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Mexico,<=50K -19,Private,234725,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,289890,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,232036,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -48,Local-gov,195416,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -52,Private,22154,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,103734,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,>50K -32,Local-gov,32587,HS-grad,9,Divorced,Other-service,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -27,Private,190303,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,270488,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -31,Private,104509,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -47,Self-emp-not-inc,132589,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K -37,Private,112812,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,126441,Some-college,10,Married-spouse-absent,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Self-emp-inc,123075,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -45,Private,207955,5th-6th,3,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,40,Ecuador,<=50K -51,Private,43705,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,116968,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Self-emp-not-inc,182142,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,74056,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -33,Self-emp-not-inc,132565,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,256796,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K -62,Self-emp-inc,191520,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,80,United-States,>50K -37,Self-emp-not-inc,33394,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -45,Local-gov,45501,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -25,Private,74389,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -34,Private,201874,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,143804,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,55,United-States,<=50K -29,Local-gov,95471,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -32,Private,267458,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,70668,10th,6,Never-married,Priv-house-serv,Other-relative,White,Female,0,0,40,United-States,<=50K -34,Local-gov,260782,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,52,United-States,>50K -50,Private,299215,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -38,Private,99156,HS-grad,9,Divorced,Sales,Unmarried,White,Male,0,0,46,United-States,<=50K -52,Federal-gov,53905,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,94210,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,48,United-States,<=50K -31,Private,116508,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -31,Private,176711,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Self-emp-not-inc,118058,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K -23,State-gov,89285,Some-college,10,Never-married,Protective-serv,Not-in-family,Other,Female,99999,0,40,United-States,>50K -52,Private,91093,Some-college,10,Divorced,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K -33,Private,204577,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,162041,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -48,Private,175615,Some-college,10,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,Japan,<=50K -40,Private,99679,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,3103,0,43,United-States,>50K -22,Private,263398,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K -55,Private,147653,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -58,?,32521,11th,7,Married-spouse-absent,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -43,Self-emp-inc,198871,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,88,United-States,<=50K -34,Private,127651,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -19,Private,143608,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -50,Local-gov,50048,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,52,United-States,>50K -73,?,378922,HS-grad,9,Married-spouse-absent,?,Not-in-family,White,Female,0,0,20,Canada,<=50K -27,Private,292883,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -62,Private,190491,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K -57,State-gov,132145,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,45,United-States,>50K -34,Private,126853,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K -22,Private,59184,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,30,United-States,<=50K -22,Private,663291,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2105,0,40,United-States,<=50K -29,Local-gov,76978,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,50,United-States,<=50K -34,Self-emp-not-inc,196512,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,2472,35,United-States,>50K -17,?,103851,11th,7,Never-married,?,Own-child,White,Female,0,0,45,United-States,<=50K -35,Private,241126,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -65,Private,266828,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,24,United-States,>50K -27,Private,204984,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1579,40,United-States,<=50K -46,Private,188950,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -35,Private,226528,Doctorate,16,Married-spouse-absent,Prof-specialty,Not-in-family,Other,Male,0,0,60,England,>50K -38,Private,268893,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -36,Private,165473,Bachelors,13,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -49,Private,447554,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -54,Self-emp-inc,304955,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -30,Private,198265,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -26,Private,395206,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,312667,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,2174,0,55,United-States,<=50K -23,Private,117767,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,36,United-States,<=50K -40,Private,170482,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,14344,0,45,United-States,>50K -29,Private,309778,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -28,Private,289991,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -41,Federal-gov,255543,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -34,Private,119079,11th,7,Married-civ-spouse,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -37,Private,318168,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,1055,0,20,United-States,<=50K -39,Private,67317,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,337953,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -55,Private,451603,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -30,Private,455995,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -33,State-gov,209768,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Federal-gov,27385,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,State-gov,226296,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K -47,Private,285335,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -28,Private,376700,Bachelors,13,Never-married,Sales,Own-child,Black,Male,6849,0,50,United-States,<=50K -33,Private,150324,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,49,United-States,<=50K -62,Private,96460,HS-grad,9,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,?,188141,Some-college,10,Widowed,?,Unmarried,White,Female,0,0,60,United-States,<=50K -42,Private,163985,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,27,United-States,<=50K -63,Private,85420,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5013,0,15,United-States,<=50K -21,Private,416103,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -65,Self-emp-inc,224357,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -28,Federal-gov,116062,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,194259,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,55,?,>50K -33,Private,460408,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Mexico,<=50K -67,Self-emp-not-inc,178878,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,12,United-States,<=50K -36,Private,416745,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,292136,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,30,United-States,<=50K -60,Private,176731,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,104097,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,203482,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,360224,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -67,Private,23580,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Self-emp-not-inc,195891,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -49,Private,182862,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -64,Private,148956,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -24,?,95862,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,?,48393,Some-college,10,Never-married,?,Own-child,White,Male,0,0,32,United-States,<=50K -40,Private,132633,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,1741,40,United-States,<=50K -35,Local-gov,182074,HS-grad,9,Separated,Protective-serv,Not-in-family,White,Male,0,0,42,United-States,<=50K -19,State-gov,136848,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,8,United-States,<=50K -53,Private,197054,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -57,State-gov,243033,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Self-emp-inc,154174,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -47,Private,59380,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,42,United-States,<=50K -38,Federal-gov,122240,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,>50K -38,Private,193945,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,350103,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,32365,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -56,Private,94345,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -24,?,166437,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,149653,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -57,Private,157271,11th,7,Divorced,Other-service,Not-in-family,Black,Male,0,0,54,United-States,<=50K -60,Private,164599,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -81,Self-emp-inc,104443,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,40,?,<=50K -46,Private,411595,5th-6th,3,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,Mexico,<=50K -18,Private,198368,11th,7,Never-married,Other-service,Own-child,White,Male,594,0,10,United-States,<=50K -42,Self-emp-not-inc,115932,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,158397,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,101345,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Federal-gov,48853,Masters,14,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,Cuba,<=50K -39,Private,38145,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K -31,Private,127651,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,38,United-States,>50K -28,Private,185896,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Male,0,0,47,Mexico,<=50K -34,State-gov,92531,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,195904,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -41,State-gov,153095,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -34,Self-emp-not-inc,581025,9th,5,Never-married,Other-service,Own-child,Black,Male,0,0,38,United-States,<=50K -61,Local-gov,202384,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,<=50K -46,Local-gov,122177,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -34,Private,405713,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -67,Private,212185,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,10,United-States,<=50K -36,Private,266347,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,43,United-States,<=50K -31,Private,49469,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -35,Self-emp-not-inc,210830,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Local-gov,188612,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -27,Private,104017,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1902,30,United-States,>50K -23,Private,154785,Some-college,10,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -20,Private,39477,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -72,Private,99554,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,10,Poland,<=50K -61,Private,255978,HS-grad,9,Widowed,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -41,Local-gov,98823,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -45,Federal-gov,109598,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -24,Private,266971,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,?,334593,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,?,41035,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K -35,State-gov,238591,Some-college,10,Separated,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -44,Local-gov,117012,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,40,United-States,>50K -30,Private,192002,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -64,Private,137135,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -69,Private,150600,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -70,Private,117464,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,16,United-States,<=50K -42,Self-emp-not-inc,111971,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -22,Private,290044,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,35,Canada,<=50K -17,Private,197186,10th,6,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K -51,Self-emp-not-inc,61127,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -30,Private,236379,11th,7,Never-married,Transport-moving,Unmarried,White,Male,0,0,30,United-States,<=50K -31,Private,207100,Bachelors,13,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K -50,Self-emp-inc,288630,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -30,Private,203181,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Male,0,0,36,United-States,<=50K -43,Private,146770,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,191789,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -32,Private,453983,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,44,United-States,<=50K -32,Self-emp-not-inc,106014,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -37,Private,218955,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,35,United-States,<=50K -62,Private,115771,Assoc-voc,11,Widowed,Sales,Unmarried,White,Female,0,0,33,United-States,<=50K -36,Private,305379,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -29,Private,53063,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,139466,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -64,State-gov,152537,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -32,Private,400535,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,330802,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,117789,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -20,Private,330836,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,323985,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,5,United-States,>50K -50,Local-gov,282701,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,48,United-States,>50K -45,Private,180695,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,1408,40,United-States,<=50K -38,Private,314007,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,40,United-States,>50K -51,Without-pay,124963,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -47,Private,380922,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -53,Local-gov,222381,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -33,Self-emp-not-inc,656488,Assoc-voc,11,Divorced,Tech-support,Unmarried,Black,Male,0,0,50,United-States,<=50K -38,Private,98776,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -47,Private,143050,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -17,Private,118792,11th,7,Never-married,Sales,Other-relative,White,Female,0,0,24,United-States,<=50K -21,Private,154964,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,Black,Female,0,0,40,United-States,<=50K -41,Private,163847,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,>50K -28,Private,282398,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -47,Private,78954,11th,7,Divorced,Sales,Unmarried,White,Female,0,0,28,United-States,<=50K -38,Self-emp-not-inc,203988,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,55,United-States,>50K -54,Private,111130,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K -45,Private,149388,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -45,Private,39464,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Local-gov,94064,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -44,State-gov,342510,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,40,United-States,>50K -66,Self-emp-not-inc,163726,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,10,United-States,<=50K -35,Private,194496,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -66,Self-emp-not-inc,298045,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -24,Private,42100,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -30,Private,77143,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,25,United-States,<=50K -38,Private,233197,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -17,Private,295120,11th,7,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -20,Private,85021,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -54,?,191659,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,244194,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,5178,0,40,United-States,>50K -32,Local-gov,287229,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,30,Japan,<=50K -18,Private,324046,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -33,State-gov,65018,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,20,China,<=50K -37,Private,421633,Assoc-voc,11,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -28,Private,93235,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Local-gov,227232,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -30,?,121775,Assoc-voc,11,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -36,Private,65382,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -19,Private,179422,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -53,Federal-gov,276868,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -57,Private,87317,10th,6,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K -32,Private,108247,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K -32,Private,197505,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -35,Self-emp-not-inc,127493,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,0,0,2,United-States,<=50K -51,Private,75640,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -38,?,320811,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -46,Local-gov,247053,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -31,Private,119735,9th,5,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,Mexico,<=50K -29,Private,157950,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -40,Private,113732,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -52,Self-emp-inc,224763,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Cuba,<=50K -42,Self-emp-not-inc,40024,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,66,United-States,<=50K -42,Self-emp-not-inc,296594,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -43,Federal-gov,53956,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,>50K -38,Self-emp-inc,71009,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,7298,0,40,?,>50K -34,Private,191834,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,107236,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -47,Private,231284,HS-grad,9,Never-married,Farming-fishing,Not-in-family,Other,Male,0,0,40,Puerto-Rico,<=50K -31,State-gov,203488,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,41721,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,205100,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,80,United-States,>50K -57,Private,75673,Some-college,10,Widowed,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -28,?,105598,11th,7,Never-married,?,Not-in-family,White,Male,0,1762,40,Outlying-US(Guam-USVI-etc),<=50K -63,Self-emp-not-inc,177832,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -24,Private,478457,11th,7,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,30,United-States,<=50K -28,Local-gov,194759,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,1669,90,United-States,<=50K -64,Self-emp-not-inc,30310,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -29,Private,130010,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -23,Private,170302,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Male,0,0,38,United-States,<=50K -46,Private,120080,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -77,Private,183781,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Female,0,0,5,United-States,<=50K -31,Private,422836,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,El-Salvador,<=50K -46,Private,266860,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -25,Private,393456,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -20,State-gov,318382,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,354520,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -47,Private,123425,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,41,United-States,<=50K -52,Private,123989,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Private,175778,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -28,State-gov,73928,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,>50K -31,Private,33731,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -41,Private,557349,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -23,Private,255252,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K -40,Private,219164,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,5178,0,40,United-States,>50K -21,Local-gov,129050,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K -61,Private,111797,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,32,United-States,<=50K -34,Private,192900,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,56651,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,51961,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,55,Philippines,<=50K -37,Private,141584,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,47,United-States,<=50K -18,Private,421350,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -52,Private,24740,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1740,55,United-States,<=50K -31,Local-gov,498267,HS-grad,9,Separated,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -21,Private,117583,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,191455,Some-college,10,Married-civ-spouse,Tech-support,Wife,Other,Female,0,0,15,United-States,<=50K -22,Private,135716,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,27766,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,323919,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -73,Local-gov,114561,5th-6th,3,Widowed,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,25,Philippines,<=50K -17,Private,216137,9th,5,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -49,Private,165539,HS-grad,9,Widowed,Exec-managerial,Not-in-family,Black,Female,0,0,35,United-States,<=50K -42,Private,32016,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,United-States,>50K -35,Private,89040,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -45,Private,264514,Bachelors,13,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -50,Private,24790,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,181139,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,42,United-States,<=50K -18,Private,168514,10th,6,Never-married,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K -17,Private,354493,11th,7,Never-married,Sales,Own-child,White,Male,0,0,6,United-States,<=50K -33,Private,206707,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,230684,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -43,Local-gov,192381,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,397752,HS-grad,9,Married-spouse-absent,Farming-fishing,Other-relative,White,Male,0,0,12,Mexico,<=50K -52,State-gov,120173,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,228394,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -83,Private,186112,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,272237,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -45,Federal-gov,169711,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,15024,0,72,United-States,>50K -40,Self-emp-not-inc,172560,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,213700,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,32,United-States,>50K -23,Private,181820,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,120361,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -47,Local-gov,169324,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Black,Female,4386,0,35,United-States,>50K -32,Private,262092,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K -24,Private,143436,Bachelors,13,Never-married,Prof-specialty,Own-child,Other,Female,0,0,10,?,<=50K -43,Private,147099,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,>50K -55,Private,138594,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,56,United-States,>50K -58,Self-emp-not-inc,100606,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,350850,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -23,Private,66432,Some-college,10,Separated,Sales,Unmarried,Black,Female,0,0,35,United-States,<=50K -44,Local-gov,229148,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -20,Private,236601,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K -46,Private,144844,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,42,United-States,<=50K -19,Private,366088,9th,5,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,162164,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,442478,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -25,Private,181814,11th,7,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -49,Private,175109,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,5178,0,40,United-States,>50K -34,Self-emp-inc,152109,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,246891,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K -30,Private,164802,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Other,Female,8614,0,40,India,>50K -21,Private,57711,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Local-gov,117789,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -67,Private,120900,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,12,United-States,<=50K -28,Private,114673,Masters,14,Never-married,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -45,Private,78529,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -46,Private,282165,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -48,Private,149337,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,>50K -56,Private,250517,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -65,?,76131,HS-grad,9,Never-married,?,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -40,Private,352971,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -20,?,243981,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K -55,?,421228,Masters,14,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,>50K -56,Private,94156,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,306868,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K -43,Private,187164,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,179415,10th,6,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -64,Private,45776,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,1762,79,United-States,<=50K -62,Private,256723,Some-college,10,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,31909,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -68,Private,90526,12th,8,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -35,?,127306,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,179423,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K -39,Private,140169,10th,6,Separated,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -29,Private,37359,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K -24,Private,125813,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,Amer-Indian-Eskimo,Female,0,0,45,United-States,<=50K -33,Private,209415,10th,6,Divorced,Protective-serv,Not-in-family,White,Female,0,0,32,United-States,<=50K -41,Private,206619,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,283737,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,162187,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -30,Self-emp-inc,191571,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -59,Private,33725,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -34,Private,236543,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,1590,40,United-States,<=50K -26,Federal-gov,73047,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,32,United-States,<=50K -20,Private,230574,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Mexico,<=50K -32,Private,178109,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,36,United-States,<=50K -58,Private,282023,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -31,Local-gov,101761,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,98168,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,>50K -22,Private,287681,11th,7,Never-married,Farming-fishing,Other-relative,White,Male,0,0,40,Mexico,<=50K -39,?,265685,Some-college,10,Divorced,?,Not-in-family,White,Male,0,0,65,Puerto-Rico,<=50K -38,State-gov,91670,Some-college,10,Divorced,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -30,State-gov,61989,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,5,United-States,<=50K -23,Private,138513,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Self-emp-not-inc,95423,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -31,Federal-gov,30917,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,<=50K -20,?,316304,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -58,Private,102791,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -42,Private,416506,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,14084,0,36,United-States,>50K -20,Self-emp-inc,245611,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -47,Federal-gov,655066,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Other,Male,0,0,40,Peru,>50K -57,Self-emp-not-inc,87584,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K -47,Self-emp-not-inc,304223,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -49,Local-gov,40690,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Male,0,0,60,United-States,>50K -18,Private,348131,11th,7,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K -64,Private,191477,5th-6th,3,Widowed,Priv-house-serv,Unmarried,Black,Female,0,0,4,United-States,<=50K -29,Private,115438,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K -47,Federal-gov,176917,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,>50K -40,?,104196,HS-grad,9,Separated,?,Own-child,White,Male,0,0,45,United-States,<=50K -28,Private,202182,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -24,Private,308239,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,4,United-States,<=50K -34,Private,163581,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,10520,0,40,Puerto-Rico,>50K -34,Local-gov,211239,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,6497,0,40,United-States,<=50K -31,Private,121321,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,51,United-States,<=50K -23,State-gov,120172,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,48,United-States,<=50K -20,Private,190916,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,1721,20,United-States,<=50K -25,Private,340288,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,426431,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Self-emp-inc,226027,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -28,Private,278736,12th,8,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,Mexico,<=50K -48,Private,168462,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -18,?,379070,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,214541,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,Canada,<=50K -52,Self-emp-inc,29887,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -53,Self-emp-not-inc,138022,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -57,Self-emp-inc,208018,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -45,Private,126876,HS-grad,9,Divorced,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K -45,Private,182703,Masters,14,Divorced,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Female,0,0,36,United-States,<=50K -34,Private,161153,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -44,Self-emp-not-inc,168443,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -25,Private,335522,9th,5,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K -27,Private,220104,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1876,50,United-States,<=50K -28,?,162312,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,40,South,<=50K -36,Private,104772,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -61,Private,161472,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -52,Private,91506,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -19,Private,186717,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -53,Private,77927,5th-6th,3,Never-married,Handlers-cleaners,Other-relative,Asian-Pac-Islander,Female,0,0,50,Philippines,<=50K -55,Private,140063,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Self-emp-inc,317580,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,122533,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -29,Private,57423,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -45,Private,103331,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -64,State-gov,417543,Doctorate,16,Widowed,Prof-specialty,Not-in-family,Black,Male,8614,0,50,United-States,>50K -56,Private,253854,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -56,Private,106850,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Self-emp-inc,314007,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,78,United-States,<=50K -23,Private,494371,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -29,Local-gov,270421,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -33,Private,203488,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,40,United-States,<=50K -35,Private,167691,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,20,United-States,<=50K -25,Private,198318,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,319831,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K -28,Private,70240,Masters,14,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,36,Philippines,<=50K -67,Private,227113,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2457,40,United-States,<=50K -22,Private,168997,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,State-gov,231929,12th,8,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -22,Private,207969,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Male,0,0,35,United-States,<=50K -68,Private,192656,Some-college,10,Widowed,Craft-repair,Not-in-family,White,Male,0,0,10,United-States,<=50K -31,Private,187215,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,El-Salvador,<=50K -51,Self-emp-inc,119570,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -64,Private,188659,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,>50K -35,Private,110013,Bachelors,13,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,55860,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -42,Self-emp-inc,282069,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Federal-gov,26585,HS-grad,9,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Female,0,0,25,United-States,<=50K -46,Self-emp-inc,218890,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K -35,Private,211154,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -51,Private,230095,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,737315,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K -50,Private,144084,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Self-emp-not-inc,48384,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -51,Private,541755,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,178778,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,1340,40,United-States,<=50K -28,Private,436198,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -37,Private,82521,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,4064,0,46,United-States,<=50K -39,Private,367020,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,174461,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,162501,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,193026,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,218172,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,13550,0,60,United-States,>50K -41,Private,110318,Masters,14,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -36,Private,126675,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1579,40,United-States,<=50K -24,Private,116788,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,161092,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,159109,11th,7,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,213191,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -49,Private,240629,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,38,United-States,<=50K -17,Private,227960,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,10,Puerto-Rico,<=50K -54,Private,151580,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,France,>50K -41,Private,160893,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -35,Local-gov,184117,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,25,United-States,<=50K -18,Private,32059,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,23,United-States,<=50K -42,Private,361219,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,334984,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,2231,40,United-States,>50K -49,Self-emp-not-inc,33300,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K -57,Private,199713,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K -43,Private,401134,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Female,0,2238,40,United-States,<=50K -37,Private,132702,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,?,306693,Some-college,10,Married-civ-spouse,?,Other-relative,White,Female,0,0,20,United-States,<=50K -20,Private,286166,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -57,Private,123515,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,132053,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -20,Self-emp-inc,266400,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -42,Local-gov,335248,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K -81,Private,36147,Prof-school,15,Married-civ-spouse,Farming-fishing,Husband,White,Male,10605,0,2,United-States,>50K -21,Private,266467,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,2205,40,United-States,<=50K -43,Private,143809,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,334366,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,>50K -41,Private,347653,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -32,Private,386806,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,45,Mexico,>50K -48,Private,202322,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,El-Salvador,<=50K -50,Private,594521,9th,5,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,174267,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,64,United-States,<=50K -18,?,169542,12th,8,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -54,Private,227392,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -59,Federal-gov,99131,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K -38,Self-emp-inc,225860,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -53,Private,287317,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -42,Private,46091,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -53,Private,170050,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,State-gov,352317,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -56,Private,225267,Some-college,10,Divorced,Sales,Not-in-family,White,Male,14084,0,60,United-States,>50K -28,Private,217545,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,?,<=50K -33,Private,183778,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -43,Private,210013,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,49115,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,44,United-States,>50K -31,Private,310429,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,70,United-States,<=50K -33,Private,114691,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,124356,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -31,Private,51284,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,36,United-States,<=50K -47,?,294443,Assoc-voc,11,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,200009,10th,6,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,258862,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,18,United-States,<=50K -35,Private,37778,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,402771,HS-grad,9,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -42,Federal-gov,201520,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,43,United-States,>50K -47,Local-gov,55237,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,44,United-States,<=50K -63,?,52750,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -63,Local-gov,197189,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,4650,0,48,United-States,<=50K -39,Private,96564,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,334105,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -41,Private,115323,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -31,Private,157289,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,52,United-States,<=50K -52,Private,320877,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K -64,Self-emp-not-inc,198186,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,?,<=50K -62,Private,195543,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,>50K -48,Private,103406,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,35,United-States,>50K -22,?,320451,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,24,?,<=50K -18,Private,23940,Some-college,10,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -46,Private,45857,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,33,United-States,<=50K -29,Private,195557,Assoc-acdm,12,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,229148,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,35,United-States,<=50K -21,?,152328,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,186157,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,127712,Assoc-voc,11,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,45,Poland,<=50K -24,Private,254351,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -61,Private,182163,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -34,Private,442656,11th,7,Never-married,Sales,Unmarried,White,Female,0,0,65,Guatemala,<=50K -30,Private,111363,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -36,Local-gov,491000,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,Black,Male,0,0,40,United-States,<=50K -45,State-gov,156065,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,243743,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -47,Self-emp-not-inc,173938,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,2258,20,United-States,<=50K -37,Private,86308,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K -35,Private,216068,Assoc-acdm,12,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,237432,12th,8,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K -34,Private,177216,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,212895,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,122749,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Germany,<=50K -44,Private,254303,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Hungary,>50K -20,Private,73679,HS-grad,9,Never-married,Transport-moving,Own-child,White,Female,0,0,35,United-States,<=50K -30,Private,455995,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,214288,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1848,48,United-States,>50K -28,Private,228075,5th-6th,3,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Hong,<=50K -35,Private,412017,10th,6,Divorced,Sales,Unmarried,White,Female,0,0,38,United-States,<=50K -41,Private,236900,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,289442,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Local-gov,237298,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,State-gov,47072,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,8,United-States,<=50K -25,Private,197036,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -19,State-gov,175507,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,18,United-States,<=50K -53,Private,350131,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,48,United-States,>50K -35,Private,150057,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,48,United-States,<=50K -40,Self-emp-inc,190650,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,45,South,>50K -27,Private,430672,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K -50,Private,99316,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -47,?,191776,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,8,United-States,<=50K -33,Private,97723,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,50,United-States,>50K -28,?,197288,11th,7,Never-married,?,Unmarried,Black,Female,0,0,30,United-States,<=50K -36,Private,239409,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -48,Private,195554,7th-8th,4,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Self-emp-not-inc,76855,Some-college,10,Divorced,Transport-moving,Unmarried,White,Female,0,0,53,United-States,<=50K -43,Private,281315,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K -76,Local-gov,224058,10th,6,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,20,United-States,<=50K -23,Private,232799,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,2977,0,55,United-States,<=50K -29,Private,174163,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Private,47178,5th-6th,3,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,Self-emp-not-inc,97950,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,6,United-States,<=50K -26,Private,342765,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K -42,Local-gov,209818,Bachelors,13,Divorced,Prof-specialty,Other-relative,White,Female,0,0,55,United-States,<=50K -36,Private,349534,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,31,United-States,>50K -43,Self-emp-inc,170214,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,<=50K -28,Private,145284,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,124161,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -48,Private,105357,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,355700,Prof-school,15,Married-AF-spouse,Prof-specialty,Wife,White,Female,99999,0,60,United-States,>50K -30,Private,99928,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,308739,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -58,Self-emp-inc,179781,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -52,Federal-gov,297906,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K -25,Private,189663,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -39,Self-emp-not-inc,339029,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -39,Self-emp-not-inc,87076,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,>50K -18,Private,109928,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -55,Private,218456,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Local-gov,176756,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,75,United-States,>50K -69,?,214923,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,>50K -21,Private,191789,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,?,<=50K -19,Private,238383,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,315476,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,25,United-States,<=50K -36,Private,195148,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -49,?,174274,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,80,United-States,<=50K -42,Private,143208,7th-8th,4,Divorced,Other-service,Unmarried,White,Female,0,0,40,?,<=50K -40,Private,30201,Assoc-voc,11,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,35,United-States,<=50K -35,Self-emp-inc,200352,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -31,Private,117028,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,30,Poland,<=50K -45,Private,44489,HS-grad,9,Widowed,Farming-fishing,Unmarried,White,Male,0,0,65,United-States,<=50K -52,Private,236222,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,496856,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -29,Private,132675,11th,7,Separated,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -42,Private,89226,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -36,?,112660,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -61,Federal-gov,294466,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -58,Private,201011,7th-8th,4,Separated,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -47,Private,27624,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,65,United-States,>50K -31,Private,385959,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -53,Private,214691,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,<=50K -34,Private,196253,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -62,Local-gov,242341,Some-college,10,Divorced,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -23,Private,195016,Some-college,10,Never-married,Prof-specialty,Not-in-family,Other,Female,0,0,35,United-States,<=50K -47,Private,174794,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,England,>50K -59,Self-emp-not-inc,134470,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,2635,0,60,United-States,<=50K -17,Private,166360,10th,6,Never-married,Craft-repair,Own-child,White,Female,0,0,30,United-States,<=50K -40,Local-gov,26671,Bachelors,13,Divorced,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,589838,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,<=50K -45,Private,149169,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -46,Private,287920,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -57,Private,56080,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K -22,State-gov,211798,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K -30,Private,415266,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -42,Private,147110,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,228873,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,60,United-States,>50K -40,Private,305348,9th,5,Never-married,Craft-repair,Other-relative,Black,Male,0,0,40,United-States,<=50K -50,Federal-gov,189831,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,50,United-States,>50K -45,Private,247379,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -38,Federal-gov,198841,Some-college,10,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,364986,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1628,47,United-States,<=50K -31,Private,203488,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,>50K -31,Private,141118,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K -49,Self-emp-not-inc,155862,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -46,Private,324550,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,174353,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K -82,Self-emp-not-inc,181912,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,12,United-States,<=50K -45,Private,168191,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,15024,0,37,United-States,>50K -35,?,216068,Assoc-acdm,12,Married-civ-spouse,?,Wife,White,Female,5178,0,12,United-States,>50K -41,Private,125461,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -21,Private,162688,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,234406,12th,8,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -41,State-gov,114537,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -40,Private,68111,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -44,Private,322799,HS-grad,9,Separated,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -21,Private,479296,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -39,Private,323385,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -63,Private,162772,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,>50K -53,Private,27166,HS-grad,9,Married-spouse-absent,Transport-moving,Not-in-family,White,Male,10520,0,40,United-States,>50K -55,?,142642,HS-grad,9,Married-spouse-absent,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -19,Private,162954,Some-college,10,Married-AF-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,United-States,<=50K -45,Federal-gov,90533,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -52,Private,234286,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,84,United-States,<=50K -17,Private,355559,12th,8,Never-married,Prof-specialty,Own-child,White,Male,0,0,18,United-States,<=50K -35,Private,32528,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,132847,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -46,Private,279724,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -50,Private,30827,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -25,Private,179772,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,112264,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,93690,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -52,Local-gov,178983,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -55,?,194740,10th,6,Widowed,?,Not-in-family,White,Female,0,0,45,United-States,<=50K -48,Local-gov,283037,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,312485,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,32,United-States,<=50K -30,Private,202450,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -29,Local-gov,272569,10th,6,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,231865,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Private,195693,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,Jamaica,<=50K -27,Private,108574,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -58,Self-emp-not-inc,605504,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -19,Self-emp-not-inc,140985,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,England,<=50K -22,State-gov,160369,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K -29,Private,303440,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,263871,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,28338,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Self-emp-inc,298624,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,>50K -41,Private,139126,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K -57,Private,197994,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,32,United-States,<=50K -34,Local-gov,241259,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -80,Self-emp-not-inc,248568,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -59,Self-emp-not-inc,304779,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -58,Private,143266,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,169719,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K -34,Private,257128,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,78507,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,Private,490332,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K -32,Private,244200,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,Puerto-Rico,<=50K -44,Self-emp-not-inc,95298,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,>50K -23,Private,329174,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,107142,12th,8,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -39,State-gov,33975,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -26,Private,201579,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,Mexico,<=50K -39,Self-emp-not-inc,122852,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -35,Private,272742,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,27828,0,60,United-States,>50K -53,Private,161691,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,4865,0,40,United-States,<=50K -41,Local-gov,223410,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -90,Private,250832,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,2414,0,40,United-States,<=50K -44,Local-gov,282069,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,369164,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -81,Self-emp-not-inc,218521,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,21,United-States,<=50K -19,Private,136405,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -40,Private,199018,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -28,Local-gov,299249,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,235567,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,52,United-States,<=50K -51,Self-emp-not-inc,73493,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -54,Private,320012,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -37,Self-emp-inc,183898,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,State-gov,190027,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -31,Private,87891,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,304001,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -40,Private,171424,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -19,Private,123807,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -22,?,210802,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,24,United-States,<=50K -25,Private,80220,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,216413,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -23,Private,423453,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,16,United-States,<=50K -30,Private,178835,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -35,Private,304001,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,167482,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -32,Private,26543,Some-college,10,Separated,Prof-specialty,Not-in-family,White,Male,0,2231,40,United-States,>50K -52,Private,176409,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,State-gov,87018,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,251603,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -44,Local-gov,366180,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -42,Private,186916,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,55,United-States,>50K -30,Self-emp-not-inc,164461,11th,7,Divorced,Sales,Unmarried,White,Male,0,653,40,United-States,<=50K -42,Private,54102,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -48,Self-emp-not-inc,199058,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,>50K -22,Private,293324,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,96798,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -65,Self-emp-not-inc,132340,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,3,United-States,<=50K -45,Private,175925,Bachelors,13,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,Self-emp-not-inc,33230,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,15,United-States,<=50K -20,Local-gov,298871,HS-grad,9,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,10,United-States,<=50K -26,Private,142760,Assoc-voc,11,Never-married,Sales,Not-in-family,Black,Male,0,0,50,United-States,<=50K -30,Private,200700,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,117310,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,60,?,<=50K -44,Private,238188,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,354496,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,416541,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K -52,Private,42902,9th,5,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -30,Private,180317,Assoc-voc,11,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,378581,12th,8,Never-married,Protective-serv,Other-relative,Black,Male,0,0,40,United-States,<=50K -45,Local-gov,213620,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -58,Private,186905,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,99999,0,40,United-States,>50K -47,Private,182054,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -64,Local-gov,189634,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -25,Local-gov,170070,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -42,Private,445382,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Self-emp-inc,168211,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,>50K -22,Private,341760,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,152452,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,558752,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,3674,0,40,United-States,<=50K -28,Private,153813,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K -54,Private,81859,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -47,Self-emp-not-inc,51664,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -46,Private,334421,Bachelors,13,Divorced,Sales,Unmarried,Asian-Pac-Islander,Female,0,0,40,China,<=50K -35,Private,239415,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K -57,Local-gov,62701,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Male,6849,0,40,United-States,<=50K -37,Self-emp-inc,347491,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -54,Local-gov,108739,11th,7,Widowed,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,Private,340917,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,2174,0,45,United-States,<=50K -54,Federal-gov,160636,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K -49,Private,116927,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -24,Private,179423,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -18,Private,347829,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,4,United-States,<=50K -62,Self-emp-not-inc,56317,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,>50K -37,Self-emp-inc,347189,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -42,Private,201520,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,43533,5th-6th,3,Separated,Other-service,Other-relative,White,Female,0,0,40,El-Salvador,<=50K -20,Private,313786,HS-grad,9,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,Private,367216,Some-college,10,Married-spouse-absent,Other-service,Own-child,White,Female,0,0,28,United-States,<=50K -23,Private,408988,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -48,Private,175662,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,24,United-States,<=50K -77,Self-emp-not-inc,161552,Preschool,1,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -26,Private,311743,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,39,United-States,<=50K -25,Private,323229,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,163204,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1740,40,United-States,<=50K -25,Private,201481,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,154210,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -36,Local-gov,247547,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -51,Self-emp-inc,254230,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,58,United-States,>50K -33,Private,156464,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -31,Private,108322,Some-college,10,Married-AF-spouse,Craft-repair,Husband,White,Male,0,0,28,United-States,<=50K -33,Private,213179,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -24,Private,160122,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,20,United-States,<=50K -64,?,80392,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,4,United-States,<=50K -36,Local-gov,254202,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,0,0,24,Germany,<=50K -26,State-gov,232914,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Local-gov,206609,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Male,0,1876,40,United-States,<=50K -33,Private,44623,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -22,?,199005,Assoc-acdm,12,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,403344,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,118577,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,25,United-States,>50K -37,Private,122889,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,7298,0,40,Taiwan,>50K -23,Private,196508,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,24,United-States,<=50K -26,Private,40915,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,143774,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -22,Private,173004,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Male,0,0,1,United-States,<=50K -49,Private,353824,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -53,Private,171058,Some-college,10,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Private,335400,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Dominican-Republic,<=50K -30,Local-gov,263650,Bachelors,13,Never-married,Sales,Unmarried,Black,Female,0,0,17,United-States,<=50K -59,Private,187025,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -49,Private,149218,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -26,Private,190916,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,240989,1st-4th,2,Married-civ-spouse,Farming-fishing,Other-relative,White,Male,0,0,40,Mexico,<=50K -47,Private,216093,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,15024,0,40,United-States,>50K -42,Private,111483,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -24,Private,214810,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -46,Private,165402,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,5178,0,40,United-States,>50K -50,Federal-gov,36489,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -18,Private,173923,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -20,Private,273147,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -18,Private,113814,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,118768,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K -62,Federal-gov,34916,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -36,Private,73023,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -46,State-gov,179869,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -48,Federal-gov,259131,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Male,5455,0,40,United-States,<=50K -52,Private,257756,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,Germany,<=50K -53,Private,448862,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K -31,Private,150553,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -30,Private,205152,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -26,Private,220499,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -19,Private,134252,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -20,Private,175808,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,185621,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,278391,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -22,Self-emp-not-inc,174907,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K -40,Private,175642,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,>50K -24,Self-emp-not-inc,216889,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -34,Private,183557,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -24,Private,196674,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,169188,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -46,Private,203785,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -49,Private,196707,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -37,Private,190297,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -18,Private,255595,11th,7,Never-married,Prof-specialty,Own-child,White,Male,0,0,5,United-States,<=50K -38,Self-emp-not-inc,374983,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -21,Private,176178,Bachelors,13,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,35,United-States,<=50K -35,Private,181165,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Local-gov,212490,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -61,Private,215766,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -46,Private,261688,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,123417,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -29,Private,108431,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,2415,40,United-States,>50K -58,Private,32954,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,224752,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,122353,11th,7,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -37,Private,176159,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,189407,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -26,Private,181772,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,109133,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,165229,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -23,State-gov,315449,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K -40,Private,37848,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Federal-gov,54595,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -20,?,127914,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K -20,Private,121596,Some-college,10,Never-married,Other-service,Own-child,White,Female,2907,0,35,United-States,<=50K -38,Private,95336,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -40,?,299197,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,23,United-States,<=50K -58,Private,299991,11th,7,Divorced,Adm-clerical,Not-in-family,White,Female,3674,0,40,United-States,<=50K -28,Private,70034,9th,5,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Portugal,<=50K -30,Private,256970,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K -29,Private,108706,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K -52,Private,227832,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -26,Private,272865,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,60070,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K -40,Private,223730,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K -51,Self-emp-not-inc,22743,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1740,40,United-States,<=50K -26,Private,195994,Bachelors,13,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,?,181242,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -64,Private,133169,11th,7,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,India,<=50K -22,Private,99199,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K -40,Private,246949,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,284889,Bachelors,13,Widowed,Sales,Unmarried,White,Female,0,0,41,United-States,<=50K -35,Private,150309,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,1887,40,United-States,>50K -24,Private,201799,Bachelors,13,Never-married,Transport-moving,Own-child,White,Female,0,0,84,United-States,<=50K -58,Private,52090,Prof-school,15,Divorced,Tech-support,Unmarried,White,Male,0,0,40,United-States,>50K -83,Local-gov,107338,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Male,0,0,12,United-States,<=50K -45,Private,32356,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -47,Private,50092,Bachelors,13,Divorced,Exec-managerial,Unmarried,Other,Male,0,1138,40,United-States,<=50K -28,Private,311446,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Federal-gov,128553,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,203203,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Self-emp-not-inc,429281,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,?,<=50K -31,Private,192660,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,30,United-States,<=50K -30,Local-gov,170449,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -57,?,221417,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -80,?,156942,1st-4th,2,Separated,?,Not-in-family,Black,Male,0,0,15,United-States,<=50K -21,Private,177504,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -24,Private,378546,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,39,United-States,<=50K -39,Self-emp-not-inc,33001,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,213722,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -36,Private,152307,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,55,United-States,>50K -61,Self-emp-not-inc,53777,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -23,Private,60668,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,55,United-States,<=50K -34,Private,132544,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,99,United-States,<=50K -53,Private,277772,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,415755,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -51,Private,136080,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,31,United-States,<=50K -29,Private,241607,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,2597,0,40,United-States,<=50K -22,Private,180190,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,400356,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -55,Federal-gov,154274,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,8614,0,40,United-States,>50K -48,Private,146497,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,37,United-States,<=50K -47,Private,189498,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,65,United-States,>50K -32,Private,65942,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,56,United-States,<=50K -27,Self-emp-not-inc,151382,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,56651,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,164488,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K -27,Local-gov,183061,HS-grad,9,Never-married,Farming-fishing,Own-child,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K -31,Private,289228,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,United-States,<=50K -28,Private,38918,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -23,Private,194630,HS-grad,9,Separated,Machine-op-inspct,Own-child,White,Male,0,0,53,United-States,<=50K -31,Private,262848,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,157595,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -26,Private,102476,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -45,Local-gov,93663,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -30,Private,202450,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,72393,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -27,Private,53147,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -29,Self-emp-not-inc,337944,11th,7,Separated,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -31,Private,37939,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Private,118993,9th,5,Married-civ-spouse,Transport-moving,Other-relative,White,Female,0,0,40,?,<=50K -60,Private,772919,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K -26,Private,143062,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -31,Local-gov,32593,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,167882,12th,8,Never-married,Other-service,Unmarried,Black,Female,0,0,48,Haiti,<=50K -52,Local-gov,48413,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,123429,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -61,Private,244261,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -37,State-gov,318891,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,259788,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,248876,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,55,United-States,<=50K -63,Federal-gov,334418,1st-4th,2,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,Puerto-Rico,<=50K -38,Self-emp-not-inc,166497,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K -54,Self-emp-not-inc,260833,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,>50K -35,Private,107477,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,37932,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -58,Self-emp-not-inc,216948,10th,6,Separated,Sales,Other-relative,Other,Male,0,0,40,Cuba,<=50K -38,Private,157473,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K -21,?,117222,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -27,Self-emp-inc,186733,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -53,Private,231472,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -31,Local-gov,187689,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,323985,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -53,Private,270655,12th,8,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -36,Private,301614,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,Mexico,<=50K -25,Private,112754,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -23,?,35633,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,?,<=50K -30,Self-emp-not-inc,112358,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -57,Self-emp-not-inc,247337,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,72,United-States,<=50K -40,Self-emp-inc,115411,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -42,State-gov,884434,Some-college,10,Separated,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -55,Private,72812,HS-grad,9,Separated,Sales,Not-in-family,White,Male,0,0,36,United-States,<=50K -26,Private,192549,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,54310,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,50,United-States,<=50K -58,Self-emp-not-inc,33386,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,20,United-States,<=50K -30,Private,233433,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,45,United-States,<=50K -24,Private,106373,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -60,Private,215591,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -39,Private,184531,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,69495,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -63,Self-emp-not-inc,22228,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -38,Private,55899,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Self-emp-inc,181498,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -31,State-gov,203572,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -23,Private,120601,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -36,Private,74706,10th,6,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -59,?,259673,Some-college,10,Married-civ-spouse,?,Husband,Other,Male,0,0,40,Puerto-Rico,<=50K -48,Private,126441,1st-4th,2,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,45,China,<=50K -25,Private,127784,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,33658,Some-college,10,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,3004,40,United-States,>50K -36,Private,234901,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,34307,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -75,Private,124660,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K -29,Private,278637,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,373545,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,Private,172548,9th,5,Never-married,Sales,Own-child,White,Male,0,0,8,United-States,<=50K -46,Private,28074,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,89,United-States,>50K -58,Self-emp-not-inc,127539,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,2407,0,25,United-States,<=50K -25,?,180246,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,1408,40,United-States,<=50K -34,State-gov,377017,Masters,14,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -41,Private,144925,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,?,156877,9th,5,Separated,?,Not-in-family,White,Male,0,0,60,United-States,<=50K -19,Private,153019,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,32825,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -46,Private,114120,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,38,United-States,<=50K -36,?,92440,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,32016,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -51,Private,165953,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,45,United-States,<=50K -21,Private,96061,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -50,Private,106422,HS-grad,9,Married-civ-spouse,Sales,Wife,Black,Female,0,1485,37,United-States,>50K -49,Self-emp-not-inc,167281,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,137895,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -52,Private,177487,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,344696,Some-college,10,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -66,Self-emp-not-inc,51415,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,4931,0,98,United-States,<=50K -36,Private,134367,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,32,United-States,>50K -40,Private,289636,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,165115,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -20,Private,206008,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -22,State-gov,149342,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -48,Self-emp-not-inc,90042,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,49,United-States,<=50K -22,Private,495288,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K -22,Private,234970,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,40,?,<=50K -51,Self-emp-not-inc,123011,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,260454,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -19,Private,39026,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,278021,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,159399,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K -34,Private,340665,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,2057,35,United-States,<=50K -34,State-gov,392518,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -24,Private,229826,Bachelors,13,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K -62,Private,185503,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -25,Private,399117,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -45,Private,168232,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,>50K -42,Private,377322,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -71,Self-emp-not-inc,141742,HS-grad,9,Widowed,Farming-fishing,Unmarried,White,Male,1731,0,5,United-States,<=50K -39,Private,31964,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,>50K -45,Self-emp-not-inc,29019,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,55,United-States,<=50K -67,?,183420,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,21,United-States,<=50K -36,Private,305319,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -35,Private,182189,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -39,Private,257250,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -60,Self-emp-not-inc,269485,Preschool,1,Divorced,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -32,Self-emp-not-inc,182177,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,179481,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Poland,<=50K -27,Private,199118,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Nicaragua,<=50K -46,Private,33084,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,185407,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -38,Self-emp-not-inc,177907,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,145441,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,40,United-States,>50K -25,Private,104830,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K -27,Private,247507,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -71,Self-emp-inc,216601,11th,7,Divorced,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K -28,Local-gov,91670,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -58,Private,106740,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -57,Private,122562,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -35,Private,109133,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,3674,0,52,United-States,<=50K -35,Private,196123,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -55,Private,123436,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -56,Self-emp-inc,42298,9th,5,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K -44,Private,297248,HS-grad,9,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,0,40,Columbia,<=50K -23,Private,117363,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -41,Private,79864,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -51,Private,190762,1st-4th,2,Widowed,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -46,Private,155509,Bachelors,13,Separated,Prof-specialty,Unmarried,Black,Female,0,0,32,Jamaica,<=50K -45,Federal-gov,163434,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,153832,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -53,Federal-gov,147629,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,>50K -33,Private,488720,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -49,Private,169180,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,1876,35,United-States,<=50K -37,Private,188763,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -37,Private,229647,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,42,United-States,<=50K -57,Self-emp-not-inc,321456,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -24,Private,199698,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,<=50K -32,Private,226010,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -28,Private,116298,7th-8th,4,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -33,Private,130057,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -27,Private,369188,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,90,United-States,>50K -32,Private,155193,HS-grad,9,Separated,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K -33,Private,159574,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,299353,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,56,United-States,<=50K -46,Local-gov,99971,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,>50K -65,Private,190160,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K -67,Private,283416,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Private,224277,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K -30,Private,111567,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,48,United-States,<=50K -53,Private,151411,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -34,Private,346736,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,White,Female,0,0,50,United-States,<=50K -26,Private,264055,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,55,United-States,<=50K -22,Private,309620,HS-grad,9,Never-married,Sales,Not-in-family,Other,Male,0,0,45,?,<=50K -39,Private,224541,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -46,Private,235334,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,99999,0,60,United-States,>50K -22,Private,296158,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,153997,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,231482,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,278553,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,38,United-States,<=50K -56,Private,91251,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,20,China,<=50K -47,Self-emp-not-inc,192053,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -47,Private,207120,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,44,United-States,<=50K -46,Self-emp-inc,125892,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K -34,Private,186824,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,200471,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,2415,40,United-States,>50K -22,Private,117779,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -23,Private,44793,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -33,Private,37646,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,<=50K -45,Private,174127,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,110103,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,1762,40,United-States,<=50K -20,Private,74631,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -32,Private,211239,Some-college,10,Married-AF-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -26,?,157008,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Self-emp-not-inc,90406,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,60,United-States,<=50K -27,Private,199998,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,32,United-States,<=50K -73,Private,132350,7th-8th,4,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,18,United-States,<=50K -61,Private,233427,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -52,Local-gov,71489,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1579,40,United-States,<=50K -34,Self-emp-inc,119411,Some-college,10,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -35,Private,351772,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -27,Local-gov,34254,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,178693,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -47,Private,168262,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -58,Private,34169,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,3103,0,25,United-States,>50K -31,Private,328118,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -39,Self-emp-inc,122353,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -18,Private,37315,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K -27,Private,181916,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,55465,Assoc-acdm,12,Never-married,Other-service,Other-relative,White,Male,0,0,15,United-States,<=50K -45,Private,192203,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,49,United-States,>50K -26,Private,91683,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,39302,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -27,Private,171356,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -53,Self-emp-inc,197189,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,72,United-States,>50K -47,Private,112362,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,228326,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,307353,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -44,Private,172160,11th,7,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -62,Self-emp-inc,234738,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,50,United-States,<=50K -34,Private,33117,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -64,Self-emp-not-inc,217380,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,2559,60,United-States,>50K -36,Private,157954,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -53,Private,164299,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1887,65,United-States,>50K -61,Self-emp-not-inc,224981,10th,6,Widowed,Craft-repair,Other-relative,White,Male,0,0,18,Mexico,<=50K -25,Private,281209,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,200479,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K -28,Private,132750,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -22,Private,21154,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,1590,32,United-States,<=50K -34,State-gov,189843,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,116657,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -52,Private,113522,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,>50K -53,Private,176185,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -90,Private,227796,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,6097,0,45,United-States,>50K -24,Private,194891,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,197189,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,182191,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,2202,0,38,United-States,<=50K -47,Private,242559,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,1408,40,United-States,<=50K -90,Self-emp-not-inc,122348,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,45,United-States,>50K -44,Private,40024,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Local-gov,225978,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -18,Private,407436,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K -60,Self-emp-not-inc,119471,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K -33,Private,249409,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,35,United-States,<=50K -38,?,217409,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -48,Private,148995,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -50,Private,200046,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -37,Private,215618,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -21,Private,280081,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -46,Self-emp-inc,340651,Bachelors,13,Married-civ-spouse,Other-service,Husband,Black,Male,0,1977,60,United-States,>50K -39,Private,111000,Masters,14,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -26,Private,135521,Assoc-voc,11,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,28,United-States,<=50K -24,Self-emp-not-inc,194102,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,295127,Some-college,10,Divorced,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K -60,?,102310,Assoc-acdm,12,Divorced,?,Not-in-family,White,Female,0,0,45,Canada,<=50K -48,Private,240175,11th,7,Separated,Other-service,Unmarried,Black,Male,0,0,22,United-States,<=50K -41,Private,145441,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -61,Self-emp-not-inc,243019,Preschool,1,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,215596,9th,5,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K -25,State-gov,31350,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,246965,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -28,Private,99838,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,38,?,<=50K -40,Private,340797,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -51,?,29937,HS-grad,9,Widowed,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K -38,Local-gov,30056,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,309903,10th,6,Never-married,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -55,State-gov,256984,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -22,Private,181723,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,Germany,<=50K -37,Private,101020,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,4787,0,55,United-States,>50K -44,Self-emp-not-inc,106900,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,195770,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -49,Private,102737,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Local-gov,191779,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -56,Self-emp-not-inc,99479,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5013,0,46,United-States,<=50K -62,Private,196891,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -19,?,208066,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -31,Private,54341,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -21,Private,140001,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -26,Private,248220,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,172962,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -37,Private,88215,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,China,<=50K -18,Private,110142,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -41,Self-emp-not-inc,136986,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,State-gov,206775,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,53497,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,238534,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,20,Puerto-Rico,<=50K -38,Private,143123,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,60269,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -33,Private,82623,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,48,United-States,>50K -40,Local-gov,99666,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -61,Private,95680,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -44,State-gov,208163,Assoc-voc,11,Separated,Protective-serv,Unmarried,White,Male,0,0,40,United-States,<=50K -41,Private,369781,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -17,Private,311288,11th,7,Never-married,Exec-managerial,Own-child,White,Female,0,0,24,United-States,<=50K -42,Self-emp-not-inc,152889,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K -38,Private,160086,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K -34,Private,117963,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,>50K -33,Private,186884,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -41,Private,313830,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,?,212529,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -41,Self-emp-inc,124330,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K -53,Private,104501,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K -41,Private,43501,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -24,Private,83774,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -37,Private,216845,Preschool,1,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -45,Local-gov,168191,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -62,Self-emp-not-inc,166894,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -31,Private,110083,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -55,Private,194371,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,Canada,>50K -36,Federal-gov,125933,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,2258,40,United-States,<=50K -22,Private,444554,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -34,Private,190228,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,>50K -27,Private,604045,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,27828,0,40,United-States,>50K -36,Private,241126,Some-college,10,Divorced,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K -38,Private,168355,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -48,State-gov,158451,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,914,0,40,United-States,<=50K -50,Private,141608,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K -36,Private,33157,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -45,Private,187563,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,45,United-States,<=50K -33,Private,26252,Assoc-acdm,12,Never-married,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -32,Local-gov,318647,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,36,United-States,<=50K -47,Private,152572,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K -30,Private,77634,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,199513,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,1408,50,United-States,<=50K -19,Private,260327,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,18,United-States,<=50K -23,Private,437940,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,137069,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K -34,Local-gov,32587,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -47,Self-emp-inc,193960,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,45,United-States,>50K -33,Private,170651,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1977,38,United-States,>50K -68,?,186163,1st-4th,2,Widowed,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -39,Private,114544,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -28,Private,159724,Bachelors,13,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -63,Private,697806,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -34,Private,140011,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K -53,Federal-gov,411700,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K -26,State-gov,179633,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -57,Local-gov,317690,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K -45,Local-gov,213334,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -41,Private,165304,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Greece,<=50K -57,Private,192325,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,42,United-States,<=50K -53,Self-emp-not-inc,385183,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,232650,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -47,Self-emp-not-inc,182474,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,36,United-States,<=50K -37,Private,119992,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,376016,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -39,Private,144638,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K -48,Federal-gov,113612,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -65,?,106161,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,48160,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,55176,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -21,Private,291232,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Private,250149,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -62,?,221064,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -27,Self-emp-not-inc,87745,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -35,Private,97136,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,37,United-States,<=50K -18,Private,632271,Some-college,10,Married-spouse-absent,Adm-clerical,Other-relative,White,Female,0,0,40,Peru,<=50K -18,Private,295607,10th,6,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -84,?,163443,7th-8th,4,Widowed,?,Not-in-family,White,Male,0,0,3,United-States,<=50K -78,Self-emp-not-inc,213136,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,24,United-States,<=50K -23,Private,107882,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,50,United-States,<=50K -35,Private,214378,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,236427,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -28,Private,34292,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,204780,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,15024,0,40,United-States,>50K -22,Private,161508,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -80,Private,151959,HS-grad,9,Widowed,Other-service,Not-in-family,Black,Male,0,0,15,United-States,<=50K -41,Private,196001,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,20,United-States,<=50K -27,Self-emp-not-inc,211259,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -45,Private,35136,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,>50K -52,Private,288353,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,48,United-States,>50K -48,Local-gov,93449,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,99999,0,40,Philippines,>50K -17,Private,40432,10th,6,Never-married,Adm-clerical,Own-child,White,Female,0,0,4,United-States,<=50K -60,Private,180632,12th,8,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -76,Private,204113,HS-grad,9,Widowed,Protective-serv,Not-in-family,White,Female,7896,0,18,United-States,<=50K -22,Private,336101,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -34,Private,235062,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -49,?,312552,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,2002,70,United-States,<=50K -39,Private,226947,7th-8th,4,Separated,Other-service,Other-relative,White,Male,0,0,40,El-Salvador,<=50K -40,Private,29393,HS-grad,9,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K -38,?,115376,Some-college,10,Married-civ-spouse,?,Wife,Black,Female,0,0,40,United-States,<=50K -52,Self-emp-inc,146574,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -28,State-gov,175389,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K -26,Self-emp-inc,316688,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -63,Self-emp-not-inc,187919,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -41,?,188436,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,20,Canada,<=50K -41,Private,80666,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -59,Self-emp-not-inc,381965,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1740,80,United-States,<=50K -31,Private,192039,Assoc-acdm,12,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -34,Self-emp-not-inc,181091,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K -40,Private,50191,9th,5,Divorced,Craft-repair,Unmarried,White,Male,5455,0,40,United-States,<=50K -29,Private,155256,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K -42,Private,104973,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,348771,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Canada,<=50K -55,Private,96415,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K -77,Private,213136,Doctorate,16,Widowed,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -59,Self-emp-inc,155259,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,20,United-States,<=50K -47,Private,95155,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,>50K -56,Private,178787,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,361497,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -61,State-gov,254890,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,296478,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -61,Private,179791,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -25,Self-emp-inc,110010,HS-grad,9,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,89622,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -56,State-gov,118614,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,State-gov,35683,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Local-gov,163815,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,2179,41,United-States,<=50K -49,Private,175305,7th-8th,4,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Self-emp-inc,96245,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,99,United-States,<=50K -27,Private,201017,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,<=50K -48,Private,95388,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -42,Private,249332,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -27,Private,194759,Assoc-acdm,12,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -61,Private,260062,10th,6,Never-married,Other-service,Own-child,White,Female,4416,0,38,United-States,<=50K -36,Self-emp-not-inc,166213,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -42,Private,46743,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,25,?,<=50K -20,Private,112387,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,324685,9th,5,Never-married,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K -34,Private,87943,7th-8th,4,Married-civ-spouse,Craft-repair,Wife,Other,Female,0,0,48,?,<=50K -45,Federal-gov,187510,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -26,Private,188703,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,127961,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -34,Private,200117,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Self-emp-inc,142030,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,>50K -30,Private,226296,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -27,Private,239130,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,165475,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,25,United-States,<=50K -46,Self-emp-inc,328216,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,45,United-States,>50K -21,?,118023,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K -42,Self-emp-not-inc,206066,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,45,United-States,<=50K -29,Local-gov,141005,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K -28,Private,104870,Assoc-voc,11,Never-married,Other-service,Not-in-family,Black,Female,0,0,48,United-States,<=50K -44,Self-emp-not-inc,253250,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,54,United-States,<=50K -39,Private,497788,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -42,Private,128354,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -49,Private,140782,10th,6,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,216129,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Female,0,0,45,United-States,<=50K -65,Private,65757,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -35,?,264758,Some-college,10,Married-civ-spouse,?,Husband,Black,Male,0,0,40,Haiti,<=50K -23,Private,245361,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,35,United-States,<=50K -48,Local-gov,216689,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,?,139517,11th,7,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -65,Local-gov,188903,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,6418,0,45,United-States,>50K -18,Private,170094,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,20,United-States,<=50K -53,Private,108836,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,189565,HS-grad,9,Married-civ-spouse,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,347993,1st-4th,2,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -49,Private,187308,Some-college,10,Married-civ-spouse,Other-service,Other-relative,White,Male,0,0,35,United-States,<=50K -27,State-gov,136077,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,State-gov,165457,Bachelors,13,Never-married,Tech-support,Own-child,Asian-Pac-Islander,Male,2463,0,40,United-States,<=50K -49,Federal-gov,175428,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -78,?,143574,Some-college,10,Widowed,?,Not-in-family,White,Male,0,0,5,United-States,<=50K -34,Private,349148,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -72,Private,103990,Masters,14,Married-civ-spouse,Other-service,Husband,White,Male,0,0,12,United-States,<=50K -55,Self-emp-inc,183884,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -21,Private,464484,HS-grad,9,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -41,Private,190786,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K -30,Private,348592,HS-grad,9,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,?,177839,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,152156,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,53,United-States,<=50K -55,Private,141807,HS-grad,9,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,40,Poland,<=50K -47,Local-gov,188537,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,60,United-States,>50K -43,Private,203233,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -51,Private,28978,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Self-emp-inc,116211,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -18,?,97683,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -19,Private,283945,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -43,Private,115178,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,43,United-States,>50K -48,State-gov,77102,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -23,Private,132220,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,129301,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -22,Private,187592,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K -34,Private,312667,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -36,Local-gov,206951,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,587310,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Own-child,White,Male,0,0,40,El-Salvador,<=50K -76,Private,328227,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,5556,0,13,United-States,>50K -35,Private,100634,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,274200,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,72,United-States,<=50K -18,Self-emp-inc,29582,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K -68,Private,174812,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,15,United-States,<=50K -22,State-gov,138513,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,15,United-States,<=50K -37,Private,219137,7th-8th,4,Divorced,Sales,Unmarried,White,Female,0,0,44,United-States,<=50K -23,Private,265148,Bachelors,13,Never-married,Sales,Other-relative,White,Male,0,0,55,United-States,<=50K -41,Private,302606,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -18,Private,197600,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -36,Private,167415,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -44,Private,13769,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K -26,Private,109390,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,218188,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,32,United-States,<=50K -49,Private,167159,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -72,Private,128529,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,28,United-States,<=50K -22,Private,200973,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Female,0,0,12,United-States,<=50K -22,Private,118235,HS-grad,9,Never-married,Sales,Not-in-family,Amer-Indian-Eskimo,Male,0,0,55,United-States,<=50K -23,Local-gov,250165,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,594,0,40,United-States,<=50K -47,Private,269620,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,<=50K -46,Private,212162,5th-6th,3,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -25,Private,147638,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,India,<=50K -42,Private,304605,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,165267,9th,5,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -28,Private,122037,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -63,Self-emp-inc,165611,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -21,Private,262634,7th-8th,4,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,36,United-States,<=50K -46,Private,280766,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,Cuba,<=50K -21,Private,226668,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,Other,Male,0,0,40,United-States,<=50K -37,Private,130200,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -17,Private,98005,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -47,Private,308857,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -51,Private,108914,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -64,Local-gov,210464,Masters,14,Widowed,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,Private,172748,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,192140,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -21,Private,126568,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K -50,Private,179339,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -43,Local-gov,31621,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -39,Private,365009,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,344698,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,United-States,<=50K -42,Private,159911,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,24,United-States,<=50K -25,Private,389456,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K -48,Private,167472,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,Private,201412,10th,6,Never-married,Farming-fishing,Own-child,White,Male,594,0,5,United-States,<=50K -26,Self-emp-not-inc,331861,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K -58,Private,97541,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,46,United-States,>50K -34,Private,71865,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,Other,Female,0,0,40,Portugal,<=50K -29,Private,196564,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,218956,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,20,United-States,<=50K -27,Private,37359,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,?,<=50K -41,Private,184630,Bachelors,13,Divorced,Handlers-cleaners,Not-in-family,White,Male,4416,0,40,United-States,<=50K -17,Local-gov,161955,11th,7,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,30,United-States,<=50K -24,Private,200089,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Guatemala,<=50K -39,Self-emp-not-inc,193026,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -72,Self-emp-not-inc,336423,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -52,State-gov,184529,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -30,Private,153876,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,53,United-States,<=50K -22,Private,269687,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -27,Private,153805,Some-college,10,Never-married,Craft-repair,Unmarried,Other,Male,0,0,45,Ecuador,<=50K -43,Private,151504,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,330087,Assoc-acdm,12,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Private,164970,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,60,United-States,<=50K -23,Private,239539,Some-college,10,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,40,?,>50K -55,Self-emp-not-inc,50215,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,White,Female,0,0,42,United-States,<=50K -51,Local-gov,80123,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,35,United-States,<=50K -54,?,55139,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,43,United-States,<=50K -44,?,276096,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,45,United-States,<=50K -41,Private,222813,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -24,Private,172232,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,<=50K -54,Self-emp-not-inc,386773,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -38,Private,87556,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,State-gov,169926,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,21,United-States,>50K -41,Private,104196,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -34,Private,320027,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -59,Private,116637,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,307640,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -69,?,138386,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,1409,0,35,United-States,<=50K -25,Private,269015,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K -30,Private,90308,Preschool,1,Never-married,Other-service,Unmarried,White,Male,0,0,28,El-Salvador,<=50K -41,Local-gov,39581,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,4101,0,40,United-States,<=50K -49,Self-emp-not-inc,241688,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,Cuba,<=50K -22,Local-gov,467759,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,48,United-States,<=50K -39,Private,303677,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,15,United-States,<=50K -56,Private,47392,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -37,Private,97925,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Local-gov,243240,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -29,Private,472344,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K -41,Private,177054,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -43,Local-gov,212206,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -34,Private,244147,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -29,Private,167336,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,50,United-States,<=50K -43,State-gov,135060,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,?,>50K -49,Private,52184,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,159187,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K -35,Federal-gov,22494,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -36,Private,219745,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -67,Private,113323,Masters,14,Divorced,Adm-clerical,Unmarried,White,Male,0,0,41,United-States,<=50K -36,Private,181099,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,216741,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Local-gov,106365,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,124973,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -37,Private,73199,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -49,Federal-gov,362679,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,9,United-States,>50K -29,Private,197222,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Private,33115,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Federal-gov,37997,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,162067,Masters,14,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,Haiti,<=50K -35,Private,133839,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -33,Self-emp-not-inc,398874,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -26,Self-emp-inc,289224,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,261259,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -61,Private,438587,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -31,Private,271162,11th,7,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -66,?,115880,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K -21,Private,29810,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,277695,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,Mexico,<=50K -35,Private,277347,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K -43,?,220445,HS-grad,9,Widowed,?,Own-child,Black,Male,0,0,40,United-States,<=50K -29,Private,231507,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -28,Private,184477,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -24,Private,174714,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K -24,Private,118792,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K -46,Local-gov,274689,Assoc-acdm,12,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,148315,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,45,United-States,<=50K -24,Private,99844,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,60,United-States,<=50K -36,State-gov,143437,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Other,Female,0,0,40,United-States,<=50K -22,Private,114357,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,55,United-States,<=50K -46,?,427055,Some-college,10,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,>50K -68,Local-gov,137518,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,33,United-States,<=50K -33,Private,183125,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -28,Private,269317,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,<=50K -46,State-gov,107682,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -30,Private,159589,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,50,United-States,>50K -50,Private,46401,Bachelors,13,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,20,Germany,<=50K -69,Self-emp-not-inc,164754,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -63,?,109446,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,314068,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,242138,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -39,Federal-gov,203070,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -39,Private,266960,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,25,United-States,<=50K -29,Self-emp-not-inc,239511,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K -65,?,244749,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,20,Cuba,<=50K -23,Private,244698,5th-6th,3,Never-married,Farming-fishing,Other-relative,White,Male,0,0,35,Mexico,<=50K -25,Private,207258,9th,5,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K -61,Private,111563,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,27,United-States,<=50K -50,Private,233149,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -61,Private,166789,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2246,50,United-States,>50K -54,Self-emp-inc,22743,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,99999,0,70,United-States,>50K -41,Local-gov,180599,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,28738,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,259846,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -24,Self-emp-inc,158950,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -23,Private,185948,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -67,?,187553,7th-8th,4,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,169092,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,5178,0,40,Canada,>50K -40,Private,129298,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,120204,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Local-gov,229337,HS-grad,9,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,183674,12th,8,Married-spouse-absent,Sales,Unmarried,White,Female,0,0,25,?,<=50K -34,Private,538243,Some-college,10,Separated,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -38,Private,108947,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,2174,0,40,United-States,<=50K -35,Private,128516,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,<=50K -28,Private,147560,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,131808,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,40,United-States,>50K -33,Private,234537,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Local-gov,165160,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -51,Private,90275,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K -26,Local-gov,143583,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Self-emp-not-inc,210020,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,135603,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,<=50K -59,?,441227,Masters,14,Married-civ-spouse,?,Husband,Black,Male,7298,0,50,United-States,>50K -38,Private,341943,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -64,Private,38274,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,327435,Some-college,10,Separated,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,>50K -27,Federal-gov,175262,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,376474,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,65,United-States,<=50K -38,Private,171150,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,3781,0,78,United-States,<=50K -32,Private,459465,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,El-Salvador,<=50K -37,Local-gov,188391,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Male,0,0,60,United-States,>50K -37,Private,196373,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,Private,122913,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -35,State-gov,37314,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K -37,Private,198492,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,20946,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,281608,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -31,Self-emp-not-inc,213643,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,1590,60,United-States,<=50K -18,Private,39222,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -23,Private,208238,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -53,Private,261207,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Peru,<=50K -36,Private,131192,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -75,Private,148214,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -54,Self-emp-not-inc,155965,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,56,United-States,<=50K -25,Private,269004,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,97883,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,48,Italy,<=50K -52,Private,177942,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -38,Local-gov,360494,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -45,Self-emp-not-inc,45136,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K -28,Private,173483,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,5013,0,20,United-States,<=50K -19,Private,205953,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,20,United-States,<=50K -41,Private,169823,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,46,United-States,>50K -18,Private,99591,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -42,Private,32627,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,378009,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,233511,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -51,Private,173987,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -45,Private,162302,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K -24,Private,192812,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -65,Private,217661,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2246,40,United-States,>50K -61,Private,353031,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -21,Private,155483,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,274158,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,United-States,<=50K -35,Local-gov,26987,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1876,45,United-States,<=50K -49,Private,68493,HS-grad,9,Married-spouse-absent,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -19,?,257421,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,15,United-States,<=50K -26,Private,38257,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -22,Local-gov,175586,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Female,0,0,20,United-States,<=50K -49,Private,316323,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,48,United-States,>50K -36,Private,117802,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -18,Self-emp-not-inc,454950,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -17,Private,284277,11th,7,Never-married,Other-service,Own-child,White,Male,1055,0,20,United-States,<=50K -32,State-gov,90409,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -43,Private,248094,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,>50K -29,Private,138692,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,173938,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -65,?,146722,12th,8,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -31,Private,145439,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -24,Private,324445,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,176410,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K -25,Private,129275,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,399123,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -51,Private,76044,Masters,14,Divorced,Prof-specialty,Unmarried,Other,Male,4787,0,35,Mexico,>50K -28,Private,87632,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,43,United-States,<=50K -33,Private,269605,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,32,United-States,<=50K -46,Private,37718,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,50,United-States,>50K -70,?,162659,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -45,Self-emp-not-inc,277434,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,209205,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,44,United-States,<=50K -75,?,34235,HS-grad,9,Widowed,?,Not-in-family,White,Female,2964,0,14,United-States,<=50K -41,Private,141186,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -48,Private,123681,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -31,Private,174215,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,United-States,<=50K -17,Private,96354,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -64,?,109108,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -37,Private,107302,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -51,Local-gov,250054,Some-college,10,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,50459,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1740,40,United-States,<=50K -57,Local-gov,22975,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -29,Private,97189,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -28,Private,238859,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,20,United-States,<=50K -26,State-gov,239303,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,3942,0,7,United-States,<=50K -33,Private,310655,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -42,Private,276218,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K -30,Private,94235,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -45,Private,135339,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,45,United-States,<=50K -20,Private,199703,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,28,United-States,<=50K -36,Private,52532,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -64,State-gov,186376,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,40,United-States,>50K -29,Private,229124,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,>50K -18,Private,152508,11th,7,Married-civ-spouse,Sales,Wife,Other,Female,0,0,20,United-States,<=50K -45,Private,54260,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K -31,Private,48520,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -66,Self-emp-not-inc,439777,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K -49,Private,191389,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,118714,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,34616,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -29,?,199074,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -20,?,112858,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,2,United-States,<=50K -22,Private,199555,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,<=50K -21,?,211013,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,107425,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,Private,106549,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -41,State-gov,110556,Masters,14,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,<=50K -46,Self-emp-not-inc,265097,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,<=50K -41,Private,215219,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,Self-emp-not-inc,142988,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -64,Private,239450,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -18,Private,162084,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -34,Private,83066,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -36,Private,181705,Some-college,10,Separated,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -80,Private,138737,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,20,United-States,<=50K -24,Federal-gov,332194,9th,5,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,40,United-States,<=50K -20,Private,291979,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,35,United-States,<=50K -64,Private,162761,Some-college,10,Widowed,Sales,Not-in-family,White,Male,2354,0,35,United-States,<=50K -21,Private,153643,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,70,United-States,<=50K -52,Private,30908,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -31,Private,92179,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -66,Self-emp-inc,50408,12th,8,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -50,Federal-gov,191013,HS-grad,9,Separated,Sales,Other-relative,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -62,Private,170969,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -19,?,302229,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,10,United-States,<=50K -49,Private,80026,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,93056,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -38,Local-gov,414791,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -20,Private,37894,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,1719,30,United-States,<=50K -31,Local-gov,164243,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,55,United-States,>50K -41,Self-emp-not-inc,36651,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -22,Self-emp-not-inc,26248,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,50,United-States,<=50K -41,Private,244522,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,42,United-States,>50K -39,Private,183279,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K -63,Private,177063,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,220220,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,47,United-States,<=50K -58,Private,180779,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,238787,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,20,United-States,<=50K -38,Private,32086,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,52,United-States,<=50K -35,Private,302149,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,>50K -43,Self-emp-not-inc,136986,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K -47,State-gov,61062,Doctorate,16,Separated,Exec-managerial,Own-child,Asian-Pac-Islander,Male,2354,0,45,United-States,<=50K -33,Private,260782,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -21,Private,82061,5th-6th,3,Never-married,Craft-repair,Not-in-family,Other,Male,0,0,32,Mexico,<=50K -22,Private,254351,HS-grad,9,Married-civ-spouse,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,128699,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -59,Private,171328,Bachelors,13,Married-spouse-absent,Prof-specialty,Other-relative,Black,Female,2202,0,37,United-States,<=50K -24,?,152719,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,15,Haiti,<=50K -42,Private,97688,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,40,United-States,>50K -33,Private,199248,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -25,Private,67240,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K -27,Private,1490400,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,188503,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,>50K -40,Private,180206,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -27,Private,201872,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,314373,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -36,Private,107737,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K -44,Private,209093,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Local-gov,218357,HS-grad,9,Separated,Transport-moving,Unmarried,White,Female,0,0,25,United-States,<=50K -43,Private,163434,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,Private,326701,5th-6th,3,Separated,Craft-repair,Not-in-family,Other,Male,0,0,40,Mexico,<=50K -41,Private,164612,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K -29,Self-emp-not-inc,37429,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K -31,Private,408208,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,30,United-States,<=50K -54,Private,105638,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,81259,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,36,United-States,<=50K -37,Private,201141,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,394927,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -52,Federal-gov,165998,Prof-school,15,Married-civ-spouse,Armed-Forces,Husband,White,Male,7298,0,50,United-States,>50K -40,Private,41888,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,2415,70,United-States,>50K -24,Private,72887,HS-grad,9,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -49,Private,56551,9th,5,Divorced,Craft-repair,Unmarried,White,Female,5455,0,45,United-States,<=50K -22,Private,227603,Some-college,10,Never-married,Prof-specialty,Unmarried,White,Female,0,0,30,United-States,<=50K -28,Private,203776,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Poland,<=50K -61,Private,202060,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,34,United-States,<=50K -59,Private,178282,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7688,0,40,United-States,>50K -31,Private,57151,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,399455,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,52,United-States,<=50K -37,Private,52630,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,124692,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -21,Private,278254,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -40,Private,162098,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,304143,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -37,Federal-gov,287031,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -38,Private,102478,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,172425,HS-grad,9,Married-spouse-absent,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K -48,Private,56664,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,247514,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,>50K -30,Private,307353,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K -37,Private,111129,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,39,United-States,<=50K -29,Private,190539,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,Greece,>50K -47,Self-emp-inc,224314,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -47,Self-emp-not-inc,59987,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2002,42,United-States,<=50K -33,Local-gov,111746,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,48,United-States,<=50K -24,Private,162958,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,1980,50,United-States,<=50K -68,?,129802,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,12,United-States,<=50K -43,Private,303155,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -25,Private,301634,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,156294,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -50,Private,145033,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,60,United-States,>50K -19,?,768659,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,60,United-States,<=50K -32,Private,134679,11th,7,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,40,United-States,<=50K -30,Private,188798,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -41,Private,122033,Some-college,10,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,99,United-States,<=50K -21,?,223515,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,235124,12th,8,Divorced,Other-service,Not-in-family,White,Male,0,0,30,?,<=50K -47,Private,341814,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,<=50K -34,State-gov,764638,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,4787,0,47,United-States,>50K -47,Federal-gov,303637,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -31,Private,307543,10th,6,Never-married,Transport-moving,Own-child,White,Male,0,0,99,Cuba,<=50K -45,Local-gov,151267,Some-college,10,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,25,United-States,<=50K -40,Private,157403,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,38,United-States,<=50K -31,Private,124483,Masters,14,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,60,India,>50K -32,Private,26803,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -40,Private,131899,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,119992,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2603,60,United-States,<=50K -31,Private,198068,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -31,Private,264351,12th,8,Separated,Adm-clerical,Own-child,White,Male,0,0,40,Mexico,<=50K -18,?,352430,11th,7,Never-married,?,Own-child,White,Male,0,1602,30,United-States,<=50K -61,Private,29797,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -28,Private,54670,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,0,40,?,<=50K -47,Private,192713,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -55,Self-emp-inc,79662,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -35,Private,190023,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,301251,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,115336,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -58,Self-emp-not-inc,98015,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,32,United-States,>50K -33,Self-emp-not-inc,48189,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,248754,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -30,Private,195602,12th,8,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,44,United-States,<=50K -45,State-gov,185797,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,3325,0,60,United-States,<=50K -51,Private,192588,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Philippines,<=50K -44,Private,160837,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -54,Local-gov,128378,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,335846,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -19,Private,179991,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -31,Private,151763,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,127875,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -27,Self-emp-not-inc,132686,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -44,Self-emp-inc,240900,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -35,Private,65876,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K -46,State-gov,165852,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -30,Self-emp-not-inc,437458,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -63,Self-emp-not-inc,261995,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -37,Private,342480,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -58,Private,270131,5th-6th,3,Widowed,Other-service,Unmarried,White,Female,0,0,70,Mexico,<=50K -48,Private,216414,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,70,United-States,>50K -30,Private,259425,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -45,Private,144086,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -63,Self-emp-not-inc,246124,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -53,Private,321865,Prof-school,15,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K -42,Private,32080,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Local-gov,201697,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -32,Local-gov,300687,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -27,Private,307724,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,?,<=50K -60,Private,40856,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,1741,40,United-States,<=50K -24,?,115085,HS-grad,9,Married-civ-spouse,?,Other-relative,White,Male,0,0,40,United-States,<=50K -37,State-gov,202139,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -34,Private,190151,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K -40,Local-gov,208277,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K -19,Private,107405,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,194096,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,162029,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,3325,0,40,United-States,<=50K -46,Private,172155,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Peru,<=50K -51,Self-emp-inc,114674,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -27,Private,116298,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Local-gov,320510,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,56,United-States,>50K -31,Private,158144,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,181651,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,51150,12th,8,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -41,State-gov,118544,Some-college,10,Divorced,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K -54,Private,85423,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -34,Private,56460,Bachelors,13,Never-married,Sales,Unmarried,White,Female,0,0,41,United-States,<=50K -28,Private,211208,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -17,Private,154337,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,13,United-States,<=50K -22,Private,125542,11th,7,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,175847,5th-6th,3,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,40,Mexico,>50K -34,Private,229731,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,35,El-Salvador,<=50K -45,Self-emp-not-inc,40666,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,2885,0,60,United-States,<=50K -58,Federal-gov,215900,HS-grad,9,Never-married,Adm-clerical,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -75,?,186792,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,16,United-States,<=50K -18,?,151552,11th,7,Never-married,?,Other-relative,White,Female,0,0,15,United-States,<=50K -45,Private,122002,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -32,Private,32174,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -34,Private,349148,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,63,United-States,<=50K -34,Private,209691,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,66,United-States,<=50K -49,Private,163021,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -18,Local-gov,283342,10th,6,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -41,?,45186,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,175398,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,45,United-States,<=50K -30,Private,175455,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -17,Private,194946,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -58,?,183869,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,3411,0,80,United-States,<=50K -19,?,167428,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,227615,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -44,Local-gov,196797,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,36,United-States,>50K -28,Local-gov,273051,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Local-gov,27085,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,235646,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -25,?,168358,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,167725,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,91819,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -27,Private,105830,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -59,Private,201159,12th,8,Widowed,Machine-op-inspct,Other-relative,White,Female,0,0,48,United-States,<=50K -18,Private,137363,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -27,Self-emp-not-inc,164725,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,3464,0,35,United-States,<=50K -47,Private,29438,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K -67,Private,131656,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2392,24,United-States,>50K -33,State-gov,35306,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,44,United-States,<=50K -63,Private,198206,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -40,Private,103513,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,143078,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,109494,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1485,40,United-States,<=50K -28,Private,52732,7th-8th,4,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,164495,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,Germany,<=50K -20,Self-emp-not-inc,105997,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -49,Federal-gov,105959,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,41,United-States,>50K -18,Private,216540,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,159623,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Federal-gov,87207,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,37,United-States,<=50K -57,Private,47621,9th,5,Married-civ-spouse,Other-service,Wife,White,Female,0,0,38,United-States,<=50K -35,Private,190297,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,65,United-States,>50K -66,Private,48034,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,16,United-States,<=50K -47,Local-gov,162236,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,>50K -57,Private,104724,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -25,Private,129806,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -35,Private,170174,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Local-gov,265148,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -29,Private,192237,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,406491,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,231866,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,292055,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Female,0,0,37,United-States,<=50K -30,Private,140612,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,40,United-States,<=50K -26,Private,191573,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -52,Private,203635,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -30,Private,171483,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,38,United-States,<=50K -36,Private,68798,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -34,Private,31752,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,White,Female,0,0,40,?,<=50K -59,?,291856,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,135848,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,10,Guatemala,<=50K -22,Private,72887,Some-college,10,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,24,United-States,<=50K -47,Private,275163,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -65,Private,29276,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,2538,0,50,United-States,<=50K -50,Private,224207,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -50,Local-gov,237356,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,40,United-States,>50K -29,Private,393829,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -58,Self-emp-not-inc,193720,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,20,United-States,<=50K -56,Self-emp-not-inc,140729,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -22,Private,54560,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -34,Self-emp-not-inc,214288,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,3411,0,80,United-States,<=50K -45,Self-emp-inc,88500,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K -30,Private,287092,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,2354,0,40,United-States,<=50K -40,Private,225263,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K -52,Local-gov,140027,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -44,Private,32000,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -44,Private,228516,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,20,Portugal,<=50K -27,Private,157612,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -24,Private,197200,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,44,United-States,<=50K -28,Private,89598,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,45,United-States,<=50K -40,Private,153799,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,72,?,>50K -67,?,101761,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -49,Private,225456,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Private,348960,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -17,Local-gov,157111,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,85877,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,99999,0,60,United-States,>50K -72,Self-emp-not-inc,32819,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -21,?,517995,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -59,Private,103948,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,96016,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,60668,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,50,United-States,<=50K -29,Local-gov,270379,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -29,Private,190756,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -59,Local-gov,221417,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -23,Private,158940,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,55,United-States,<=50K -67,State-gov,121395,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,12,United-States,<=50K -26,Private,196866,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K -35,Private,302239,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,718736,Some-college,10,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,178615,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,158096,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,?,317988,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,15,United-States,<=50K -23,Private,325596,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,120461,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -80,?,30680,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K -22,Private,125010,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -67,Private,268781,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1510,8,United-States,<=50K -46,Private,36020,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,433682,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K -32,Local-gov,349148,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -44,Self-emp-inc,148805,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,33,United-States,<=50K -24,Private,285775,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Local-gov,126524,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,40,United-States,>50K -52,Private,270221,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,44,United-States,>50K -24,Private,117222,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,118941,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -59,Private,172667,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,241306,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5013,0,40,United-States,<=50K -33,State-gov,292317,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,182918,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,46,United-States,>50K -76,Self-emp-not-inc,106430,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -41,?,119207,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,377692,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,284907,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -65,Federal-gov,190160,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Male,0,1944,20,Poland,<=50K -65,Self-emp-inc,226215,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,169324,9th,5,Divorced,Other-service,Unmarried,Black,Female,0,0,40,Haiti,<=50K -22,Private,191460,10th,6,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,219155,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -66,?,52654,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K -64,Self-emp-not-inc,198466,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,70,United-States,<=50K -47,Private,255965,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -38,?,54953,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -25,Private,290441,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -44,Federal-gov,206927,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -66,Self-emp-inc,165609,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -33,Self-emp-inc,206609,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,1876,50,United-States,<=50K -64,Private,211846,10th,6,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,102446,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -26,Private,114483,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,199657,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -40,Private,192878,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,346081,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -24,Private,26668,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Puerto-Rico,<=50K -72,?,272425,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,3818,0,4,United-States,<=50K -68,Local-gov,159643,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,15,United-States,<=50K -51,?,22743,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K -21,Private,142875,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K -18,?,256304,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,30,United-States,<=50K -36,Private,163380,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,162187,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -32,Private,153353,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -75,Self-emp-inc,134414,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,39212,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,344060,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,Japan,>50K -17,Local-gov,140240,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -70,?,210722,Prof-school,15,Divorced,?,Not-in-family,White,Male,2538,0,45,United-States,<=50K -32,Private,285946,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -34,Private,216645,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -54,Private,54065,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -24,Private,44159,12th,8,Never-married,Other-service,Other-relative,Other,Male,0,0,40,Dominican-Republic,<=50K -46,Private,188729,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,Black,Female,0,0,50,United-States,<=50K -44,Self-emp-not-inc,296982,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,?,<=50K -56,Local-gov,277203,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -39,Private,153949,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -46,Federal-gov,269890,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K -35,Federal-gov,61518,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -39,Private,176050,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,47,United-States,>50K -25,Private,202700,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -18,Private,477083,11th,7,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -50,Private,221532,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,Private,282155,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,4650,0,40,United-States,<=50K -38,Private,365307,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K -26,Private,248776,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,166863,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -42,Private,191149,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -22,Private,126822,10th,6,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -20,Private,281743,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K -27,Private,212041,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -31,Private,264351,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Mexico,<=50K -54,Private,117198,HS-grad,9,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -38,Private,202937,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -53,?,201062,HS-grad,9,Married-civ-spouse,?,Wife,Black,Female,0,0,2,United-States,<=50K -51,Private,96062,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,99902,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Ireland,>50K -54,Private,76268,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,80,United-States,<=50K -64,Private,200517,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,39,United-States,<=50K -48,?,222478,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -19,?,168471,Some-college,10,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K -52,Private,403027,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -34,Self-emp-not-inc,201292,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -39,Self-emp-not-inc,360814,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -51,Private,155574,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -48,Private,135525,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,>50K -42,Self-emp-not-inc,24763,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K -38,Self-emp-inc,184456,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,Italy,>50K -40,Private,30412,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,State-gov,93225,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -60,Self-emp-not-inc,359988,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,12,United-States,<=50K -60,Self-emp-not-inc,122314,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K -59,Federal-gov,51662,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,137991,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,41,United-States,<=50K -47,State-gov,119458,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -42,Private,208068,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Other,Male,7298,0,40,Mexico,>50K -32,Private,219553,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -23,Private,308924,HS-grad,9,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -27,Private,169748,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Private,164970,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,38,United-States,<=50K -39,Private,190987,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K -33,Private,250804,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,England,<=50K -30,Private,85374,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K -81,Private,39667,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,20,United-States,<=50K -41,Private,84817,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,3887,0,40,United-States,<=50K -38,Private,227615,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -54,Private,155737,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,8614,0,40,United-States,>50K -38,Private,133935,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,El-Salvador,>50K -22,Federal-gov,316438,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K -44,Private,107433,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -36,State-gov,28572,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,38,United-States,<=50K -32,Self-emp-not-inc,291414,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -22,Private,202153,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -45,Private,324655,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,27207,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -30,Private,184435,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -34,Private,122749,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,32,United-States,<=50K -36,Private,181146,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K -21,Private,225311,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Self-emp-not-inc,33474,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -42,Private,126319,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -52,Private,247806,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -50,Private,85815,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,38,United-States,>50K -48,Private,204629,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -63,Private,195540,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,Black,Male,0,1408,40,United-States,<=50K -27,Private,113866,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -31,Private,114691,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Ireland,<=50K -22,?,227943,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,44,United-States,<=50K -45,Private,310260,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -35,Private,189922,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,52,United-States,>50K -54,Private,249949,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -23,?,38455,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,11,United-States,<=50K -51,Private,123429,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,40,United-States,>50K -71,Private,99549,5th-6th,3,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,98954,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -36,Private,49794,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -47,?,80451,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,129764,Some-college,10,Divorced,Sales,Unmarried,White,Male,1506,0,50,United-States,<=50K -29,Private,189702,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,10520,0,50,United-States,>50K -59,Self-emp-not-inc,78020,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,182843,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -42,Private,53956,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -31,State-gov,223376,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -44,Federal-gov,151933,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1485,40,United-States,>50K -47,Private,100931,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -23,Private,442478,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,15,United-States,<=50K -24,Private,153082,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -46,Private,182414,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -35,Local-gov,217926,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K -36,Private,176536,Some-college,10,Separated,Adm-clerical,Other-relative,Amer-Indian-Eskimo,Female,0,0,42,United-States,<=50K -37,Private,237943,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Poland,<=50K -20,Private,117789,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K -59,Private,113838,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,4650,0,37,United-States,<=50K -17,Private,278414,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -36,Private,122493,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,110820,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,Private,106141,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K -43,Self-emp-not-inc,215896,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,50,United-States,<=50K -49,Private,547108,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,15024,0,40,?,>50K -50,Federal-gov,169078,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,40,United-States,>50K -69,Self-emp-not-inc,227906,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3456,0,30,Germany,<=50K -57,Private,61298,5th-6th,3,Separated,Machine-op-inspct,Other-relative,White,Female,0,0,40,Ecuador,<=50K -49,Private,184285,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -48,Private,64156,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -61,Private,56248,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,>50K -51,Private,171275,7th-8th,4,Divorced,Other-service,Not-in-family,Other,Male,0,0,40,Peru,<=50K -41,Private,123490,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -60,Private,420842,Assoc-acdm,12,Divorced,Priv-house-serv,Other-relative,White,Female,0,0,40,?,<=50K -40,Private,51233,Bachelors,13,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,38,United-States,<=50K -36,Private,353263,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -17,Private,262031,12th,8,Never-married,Other-service,Other-relative,White,Male,0,0,20,United-States,<=50K -50,Private,334421,Prof-school,15,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,1590,25,China,<=50K -24,Private,200153,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -70,?,187972,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -29,Federal-gov,360186,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -20,Private,368832,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -36,Private,359131,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -35,Self-emp-not-inc,295279,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,37,United-States,<=50K -34,Private,378272,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,150817,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -40,Self-emp-not-inc,145246,Some-college,10,Divorced,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,185490,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,217424,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -24,Private,190483,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -50,Self-emp-not-inc,391016,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,30509,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,3908,0,50,United-States,<=50K -28,Private,267661,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -57,Private,197369,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,393691,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -46,Private,168441,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -47,Self-emp-inc,85109,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -22,Private,190457,10th,6,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -37,Self-emp-not-inc,289430,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -39,Private,166697,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,35,United-States,<=50K -24,Local-gov,310355,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,Germany,<=50K -31,Private,300828,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,30,United-States,<=50K -20,Private,188923,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,37,United-States,<=50K -36,Private,167482,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -29,Private,114968,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,102988,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,Ecuador,>50K -67,Local-gov,330144,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,18,United-States,<=50K -47,Private,362654,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -35,Private,179481,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -42,Private,204817,Bachelors,13,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,35,United-States,<=50K -32,Private,172402,Some-college,10,Never-married,Adm-clerical,Unmarried,Other,Female,0,0,40,United-States,<=50K -44,Private,54611,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,State-gov,179151,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,30829,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -50,Private,474229,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,246981,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,23,United-States,<=50K -39,Private,271610,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -25,Private,179138,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Local-gov,268722,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,20,United-States,<=50K -46,Private,111410,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Local-gov,125550,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,40,United-States,>50K -24,Private,51985,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,302584,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -90,Federal-gov,311184,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,99,United-States,<=50K -45,Local-gov,133969,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,Thailand,<=50K -41,Local-gov,214242,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,72,United-States,>50K -29,Private,372149,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K -53,Private,203967,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,147344,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Male,0,0,60,?,<=50K -45,Self-emp-inc,139268,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -38,Private,349198,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,21,United-States,>50K -43,Private,222756,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2002,44,United-States,<=50K -53,Local-gov,196395,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -22,Private,316304,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K -44,Private,347653,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Germany,<=50K -40,Private,176063,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K -67,Private,176835,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Private,144092,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -23,Private,148709,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -31,Federal-gov,194141,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -28,Self-emp-inc,215423,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,70,United-States,<=50K -52,Self-emp-not-inc,128378,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,34431,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,180690,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,142712,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,57,United-States,>50K -43,State-gov,185619,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,35,United-States,>50K -36,Self-emp-not-inc,358373,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,30,United-States,<=50K -27,Private,81648,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,244580,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -31,Private,184570,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,State-gov,210150,Masters,14,Never-married,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Local-gov,212213,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -37,Private,182148,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,39,United-States,<=50K -29,Private,55390,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -58,Private,66788,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Male,0,0,40,Portugal,<=50K -43,Federal-gov,265604,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -21,Private,110677,Some-college,10,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,30,United-States,<=50K -34,Private,320077,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -56,Private,201817,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -43,Private,142725,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,1887,80,United-States,>50K -44,Self-emp-not-inc,53956,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -45,State-gov,116892,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -33,Private,34572,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -40,State-gov,287008,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -66,Local-gov,30740,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -27,Private,162104,7th-8th,4,Never-married,Priv-house-serv,Own-child,White,Female,0,0,30,United-States,<=50K -65,Private,237024,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,Mexico,<=50K -20,Private,228306,HS-grad,9,Never-married,Tech-support,Own-child,White,Female,0,0,32,United-States,<=50K -18,Private,127388,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -45,Private,72393,Bachelors,13,Married-spouse-absent,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K -55,Self-emp-inc,160813,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -43,Private,255586,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -21,Private,342575,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,35,United-States,<=50K -28,Private,181466,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,234108,Assoc-acdm,12,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -28,Private,66414,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,227307,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,43,United-States,>50K -23,Private,157145,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -63,Private,252457,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Federal-gov,142769,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -32,Private,49539,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,3674,0,40,United-States,<=50K -33,Private,249438,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -30,Private,289293,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,3908,0,40,Dominican-Republic,<=50K -68,Self-emp-not-inc,198884,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K -53,Local-gov,229259,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -36,Private,289223,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1848,40,United-States,>50K -23,Private,42401,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -26,Private,295055,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -42,State-gov,214781,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Male,0,1876,38,United-States,<=50K -20,Private,95552,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -53,Private,308764,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -36,Private,185394,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Private,358382,Some-college,10,Separated,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -35,Private,195946,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Thailand,<=50K -32,Private,296897,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -41,Self-emp-not-inc,230961,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -22,Private,169022,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,48,United-States,<=50K -28,Private,209301,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1848,40,United-States,>50K -42,Private,252058,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,30012,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -33,Private,202046,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -22,Private,52262,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -60,Private,96660,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,33,United-States,<=50K -50,Self-emp-not-inc,200618,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -58,Private,177368,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,16,United-States,<=50K -22,Private,311311,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K -47,State-gov,142856,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -28,Private,134890,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,1974,50,United-States,<=50K -38,Self-emp-inc,179579,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -67,State-gov,173623,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,4931,0,30,United-States,<=50K -76,Self-emp-inc,99328,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,6514,0,40,United-States,>50K -41,Local-gov,224799,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -57,Self-emp-inc,231781,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -22,Private,41763,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Local-gov,51240,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -30,Private,206923,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,Other,Female,0,1977,40,United-States,>50K -30,Self-emp-inc,132601,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -27,Private,357348,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,2202,0,40,United-States,<=50K -22,Private,150683,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K -40,Self-emp-inc,188615,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,20,United-States,>50K -73,Private,159007,Bachelors,13,Divorced,Farming-fishing,Other-relative,White,Female,0,0,12,United-States,<=50K -23,Private,130959,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,2407,0,6,Canada,<=50K -51,Private,158746,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,United-States,>50K -29,Private,498833,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Nicaragua,<=50K -46,Private,193188,Masters,14,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -29,Self-emp-inc,136277,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,16,United-States,<=50K -34,Private,137991,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -38,Self-emp-not-inc,187098,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,<=50K -62,Private,176839,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -30,State-gov,185384,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K -20,Private,87867,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,111779,11th,7,Divorced,Other-service,Unmarried,Black,Female,0,0,36,United-States,<=50K -37,Local-gov,185556,HS-grad,9,Separated,Protective-serv,Not-in-family,White,Male,0,1980,35,United-States,<=50K -56,Private,59469,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,<=50K -63,Private,164435,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,259336,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,Peru,<=50K -40,Self-emp-not-inc,277488,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -53,Private,104258,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,141427,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -32,Private,267052,10th,6,Never-married,Farming-fishing,Unmarried,Black,Female,0,0,40,United-States,<=50K -33,Private,114764,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Local-gov,151143,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -37,Private,176357,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,190303,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,2463,0,15,United-States,<=50K -28,Private,220692,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -46,Private,181970,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Private,263339,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -21,Self-emp-not-inc,83704,9th,5,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -24,Private,324960,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K -53,Private,96062,9th,5,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -54,Private,96678,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -36,Private,33435,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Self-emp-not-inc,399008,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,5013,0,40,United-States,<=50K -71,Private,159722,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,25,United-States,<=50K -36,Private,225172,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,135033,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Ecuador,<=50K -38,Private,179671,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,<=50K -56,Private,182460,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,231196,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -55,Private,181974,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,326104,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -51,Self-emp-inc,126850,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -23,Private,33644,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -40,Private,92649,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,353696,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,28,United-States,<=50K -36,Private,238342,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,882849,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -49,Self-emp-inc,318280,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -35,Private,151322,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K -31,Self-emp-inc,111567,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,279996,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -48,Private,103743,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2002,70,United-States,<=50K -53,Private,30846,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,191393,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Male,0,1380,40,United-States,<=50K -35,State-gov,140564,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,5013,0,40,United-States,<=50K -37,Federal-gov,243177,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -55,Local-gov,104996,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,15,United-States,<=50K -27,Local-gov,191202,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,45,United-States,<=50K -47,Private,247379,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K -44,Private,96129,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -47,?,58440,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,<=50K -24,Private,125031,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -23,Private,183772,Assoc-acdm,12,Never-married,Adm-clerical,Other-relative,White,Female,0,0,70,United-States,<=50K -37,Private,78488,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -32,Self-emp-not-inc,121058,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -43,Private,84673,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,>50K -30,Private,172830,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,3325,0,40,United-States,<=50K -36,Private,307520,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K -21,Private,327797,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,108945,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K -52,Private,164473,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,38,United-States,<=50K -40,Private,144778,Bachelors,13,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K -54,Private,69477,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,60,United-States,>50K -45,Private,137946,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -28,Private,167737,Bachelors,13,Widowed,Other-service,Own-child,White,Male,0,1974,50,United-States,<=50K -30,Private,195602,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,?,<=50K -31,Private,140206,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -42,Self-emp-inc,272551,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,1564,60,United-States,>50K -24,Private,114939,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -45,Local-gov,265477,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,France,>50K -51,Local-gov,252029,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K -29,Self-emp-inc,263786,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K -35,Private,397877,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,316438,5th-6th,3,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K -34,Local-gov,283921,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,199903,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -42,Private,339814,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -19,?,191140,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -33,Private,174215,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,>50K -32,Private,124420,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,289228,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,45,United-States,>50K -27,Private,200610,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2580,0,40,United-States,<=50K -36,Private,140327,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,7298,0,35,United-States,>50K -39,Local-gov,86643,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,<=50K -33,Private,226624,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,365516,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -27,Private,153288,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,235124,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,?,<=50K -28,Self-emp-inc,160731,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,Private,230999,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -38,Private,453663,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -28,Private,250967,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2105,0,40,United-States,<=50K -22,?,96844,Some-college,10,Never-married,?,Not-in-family,White,Female,0,1602,20,United-States,<=50K -41,Federal-gov,149102,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,1980,40,United-States,<=50K -42,Private,226452,9th,5,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,Mexico,<=50K -36,Private,34378,7th-8th,4,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,60,United-States,<=50K -37,Local-gov,177277,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -38,Local-gov,316470,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -55,Local-gov,293104,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,380357,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,?,>50K -36,Private,101318,Some-college,10,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,China,>50K -32,?,339099,Some-college,10,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -52,Private,131662,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -20,Private,163333,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,20,United-States,<=50K -43,Private,71738,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -35,Private,141276,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -61,Private,242552,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,37,Honduras,<=50K -30,Private,246439,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -38,Federal-gov,81232,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -31,Private,157568,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,117476,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -28,State-gov,198201,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K -57,Private,167483,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -19,Self-emp-inc,150384,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -18,?,96244,Some-college,10,Never-married,?,Own-child,White,Male,0,0,45,United-States,<=50K -34,Private,33678,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,4508,0,35,United-States,<=50K -42,Private,180985,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K -36,Private,101192,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -33,Private,207561,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -32,Private,105749,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -41,Self-emp-inc,443508,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,60,United-States,>50K -23,Private,249087,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -31,Local-gov,279231,Assoc-voc,11,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,180477,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,144522,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,El-Salvador,<=50K -36,Local-gov,248263,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,?,498411,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -57,Private,102442,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,262877,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,55,United-States,<=50K -66,Self-emp-not-inc,325537,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -22,Private,161638,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,Columbia,<=50K -46,Self-emp-not-inc,24367,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,>50K -38,Private,108140,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K -63,?,205110,10th,6,Widowed,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K -43,Self-emp-inc,504423,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,Japan,>50K -37,Private,264700,HS-grad,9,Married-civ-spouse,Tech-support,Wife,Black,Female,0,0,35,United-States,<=50K -22,Private,335067,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,20,United-States,<=50K -58,Private,153551,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,23,United-States,<=50K -43,Private,186077,HS-grad,9,Widowed,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K -55,Local-gov,85001,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K -45,Self-emp-not-inc,216999,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,107231,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -36,Self-emp-not-inc,52870,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,50,United-States,>50K -73,Self-emp-not-inc,228899,7th-8th,4,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,99,United-States,<=50K -29,Local-gov,90956,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,186934,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -57,Self-emp-inc,37394,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -25,?,30840,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,40,Germany,<=50K -32,Private,185177,Assoc-voc,11,Separated,Tech-support,Own-child,White,Male,0,1590,40,United-States,<=50K -34,Private,312055,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -20,Private,176262,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -51,Self-emp-inc,161482,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -51,Private,373448,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2002,40,United-States,<=50K -45,Self-emp-not-inc,277630,Some-college,10,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,48,United-States,<=50K -68,Self-emp-not-inc,150904,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Female,0,0,35,United-States,<=50K -73,Private,187334,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,328937,7th-8th,4,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K -35,Local-gov,132879,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,49159,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -38,Private,133299,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,55,United-States,<=50K -62,?,268315,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,176430,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,211344,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,162302,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,32,United-States,<=50K -51,Private,229225,Masters,14,Divorced,Other-service,Not-in-family,Black,Female,0,0,18,United-States,>50K -49,Self-emp-not-inc,77404,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,?,>50K -51,Local-gov,202044,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K -28,Private,94128,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,?,189888,Assoc-acdm,12,Never-married,?,Not-in-family,White,Male,0,0,48,United-States,<=50K -32,Private,94041,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -50,State-gov,322840,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Poland,>50K -47,Federal-gov,746660,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1887,40,United-States,>50K -54,Private,84587,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,38,Philippines,<=50K -41,Private,33126,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -29,Private,247445,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Self-emp-not-inc,210377,10th,6,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,<=50K -19,?,239862,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K -33,Private,327112,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -37,Self-emp-not-inc,188563,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -62,?,189098,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -27,Private,26326,Assoc-voc,11,Divorced,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -46,Private,145636,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,50,United-States,>50K -45,State-gov,255456,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,India,>50K -35,Private,196373,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1672,40,United-States,<=50K -32,Private,167476,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -32,State-gov,59083,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -36,Self-emp-not-inc,186934,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -62,?,188650,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -33,Federal-gov,373043,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,34,Germany,<=50K -51,Private,250423,Some-college,10,Married-spouse-absent,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -29,Private,334032,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,State-gov,89487,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,230205,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,2001,32,United-States,<=50K -33,Private,212980,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -32,Private,351770,Some-college,10,Divorced,Farming-fishing,Unmarried,White,Female,0,0,40,United-States,<=50K -35,State-gov,167482,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,1980,40,United-States,<=50K -23,Private,42251,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Self-emp-not-inc,52822,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K -41,Private,229472,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,93034,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K -35,Private,415167,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -76,Self-emp-not-inc,161182,Some-college,10,Widowed,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K -38,Private,166549,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -42,Private,36296,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,272442,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -22,Private,366139,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K -30,Self-emp-inc,127651,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,65,United-States,>50K -59,Private,158077,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,154950,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -30,Local-gov,197886,Assoc-acdm,12,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,211518,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,214303,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -34,Private,154120,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -53,Private,186303,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,488459,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -66,Private,423883,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,117963,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -57,Self-emp-not-inc,38430,7th-8th,4,Widowed,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K -30,Private,176969,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,?,116839,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -23,Private,212407,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -35,Local-gov,110075,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,50,United-States,>50K -40,Private,183096,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -45,Federal-gov,126754,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -28,Private,216178,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,188391,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -17,?,27251,11th,7,Widowed,?,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,40230,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,60,United-States,<=50K -47,Private,100009,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K -27,?,222442,Some-college,10,Divorced,?,Own-child,White,Male,0,0,25,El-Salvador,<=50K -24,Local-gov,403471,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,48,United-States,<=50K -52,Private,161482,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,83141,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,4416,0,53,United-States,<=50K -68,Self-emp-inc,31661,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K -35,Private,101073,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -53,Local-gov,99682,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,2174,0,40,United-States,<=50K -23,Private,215395,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,343476,11th,7,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -21,Private,178363,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K -52,Private,95872,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,?,<=50K -49,Private,90907,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Outlying-US(Guam-USVI-etc),>50K -42,Private,165309,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -35,Private,208358,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,37,United-States,>50K -42,Private,171069,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Black,Male,15024,0,40,United-States,>50K -46,Private,53540,Some-college,10,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,>50K -48,Private,29433,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,55,United-States,<=50K -48,Self-emp-not-inc,175622,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -52,Private,231865,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,46,United-States,<=50K -51,Private,266336,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,50,United-States,>50K -44,Self-emp-not-inc,190290,Some-college,10,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,80,France,<=50K -74,Self-emp-not-inc,45319,12th,8,Married-civ-spouse,Other-service,Husband,White,Male,1409,0,20,Canada,<=50K -17,Never-worked,131593,11th,7,Never-married,?,Own-child,Black,Female,0,0,20,United-States,<=50K -24,Local-gov,177913,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,457357,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -43,Self-emp-inc,253811,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,55,United-States,>50K -48,Private,501671,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,48,United-States,<=50K -35,State-gov,227128,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -40,Federal-gov,39137,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Self-emp-not-inc,121038,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,43,United-States,<=50K -53,State-gov,119570,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -29,?,99297,HS-grad,9,Married-civ-spouse,?,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Cambodia,<=50K -28,Self-emp-not-inc,169460,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -33,Private,261639,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,4064,0,40,United-States,<=50K -21,Private,214542,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,22,United-States,<=50K -31,Private,141410,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -39,Private,370549,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,>50K -44,Self-emp-not-inc,234767,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,>50K -40,Private,104196,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -22,State-gov,52262,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,England,<=50K -22,?,285775,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -60,Private,235336,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,70,United-States,<=50K -49,Private,165539,Some-college,10,Never-married,Priv-house-serv,Not-in-family,Black,Female,0,0,90,Jamaica,<=50K -41,Private,362815,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -24,State-gov,292816,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,66692,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Private,120910,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Self-emp-inc,116133,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,41,United-States,<=50K -49,State-gov,247043,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,215616,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -23,Private,131415,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K -64,Self-emp-not-inc,169604,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,>50K -50,Private,230858,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -23,Private,73968,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,339897,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Private,258406,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,Mexico,<=50K -30,Private,180574,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -44,Private,88808,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,179627,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,149823,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -20,Private,60639,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,46492,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,1902,40,United-States,>50K -36,Private,48520,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,306538,12th,8,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -58,Private,204678,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -48,Private,218676,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -35,Local-gov,95455,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K -53,Self-emp-not-inc,335655,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -55,Private,194436,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -24,Private,152724,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K -28,Private,242482,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -31,Local-gov,162041,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -23,Private,291854,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -22,?,48343,Some-college,10,Never-married,?,Other-relative,Black,Female,0,0,40,United-States,<=50K -77,?,153113,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,1455,0,25,United-States,<=50K -38,Private,80680,10th,6,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,?,211601,Assoc-voc,11,Never-married,?,Own-child,Black,Female,0,0,15,United-States,<=50K -31,Self-emp-inc,264554,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1977,40,United-States,>50K -29,Private,319998,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,194228,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -62,Self-emp-not-inc,236247,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -28,Self-emp-not-inc,123983,Masters,14,Divorced,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,54,South,<=50K -49,Private,166215,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,178623,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,35,United-States,<=50K -51,Self-emp-not-inc,174102,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,8,United-States,<=50K -32,Private,292217,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,40,?,<=50K -44,Private,198452,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,96497,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -62,?,194660,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -37,Private,216924,HS-grad,9,Divorced,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K -26,Private,206721,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -37,State-gov,49105,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,25,United-States,<=50K -62,Federal-gov,164021,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -46,Private,91608,Prof-school,15,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,323963,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -42,Private,70037,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -61,Private,289950,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K -65,Private,213149,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -44,Federal-gov,320451,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,15024,0,40,Philippines,>50K -22,Private,351952,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K -50,Private,146015,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,281704,Some-college,10,Never-married,Farming-fishing,Other-relative,White,Male,0,0,8,United-States,<=50K -44,Federal-gov,786418,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,60,United-States,<=50K -29,Private,214689,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,193188,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -55,Self-emp-inc,142020,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,<=50K -78,?,317311,HS-grad,9,Widowed,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,213416,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -47,Federal-gov,326048,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,191265,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -47,Private,348986,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,28,Taiwan,<=50K -24,Private,126613,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -26,?,40032,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,150057,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Poland,<=50K -39,Private,113725,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,8614,0,40,United-States,>50K -24,Private,140500,10th,6,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,113364,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -65,Private,176219,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,South,<=50K -19,Private,146189,HS-grad,9,Never-married,Sales,Other-relative,Amer-Indian-Eskimo,Female,0,0,78,United-States,<=50K -45,Private,83993,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,56,United-States,>50K -33,Private,194336,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,50,United-States,>50K -61,State-gov,349434,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -55,Private,142020,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -27,Private,48894,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,42,United-States,<=50K -29,Private,226295,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,36,United-States,<=50K -40,Private,77313,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,>50K -36,Private,305935,HS-grad,9,Divorced,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K -23,Private,287988,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K -49,Local-gov,49275,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -39,Private,102865,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,209146,Masters,14,Divorced,Sales,Not-in-family,White,Male,27828,0,40,United-States,>50K -40,Private,173001,Some-college,10,Married-civ-spouse,Tech-support,Own-child,White,Female,0,1902,40,United-States,>50K -40,Private,277256,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,2559,55,United-States,>50K -46,Private,20534,Masters,14,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -35,Private,60227,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,State-gov,176936,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -42,Private,49255,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,4386,0,40,United-States,>50K -64,?,232787,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,235095,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,190531,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,35,United-States,<=50K -64,Without-pay,209291,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,>50K -23,Private,109053,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,60,United-States,<=50K -22,Private,183594,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,361608,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,257028,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,Haiti,<=50K -34,Private,66561,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,37,United-States,<=50K -21,Private,176486,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K -21,Private,565313,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -34,Local-gov,198953,Some-college,10,Divorced,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K -68,State-gov,99106,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -45,Private,213140,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,52,United-States,>50K -33,Private,66384,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,<=50K -41,Private,483201,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -19,?,466458,Some-college,10,Never-married,?,Own-child,White,Female,0,0,45,United-States,<=50K -30,Private,90446,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -69,Self-emp-not-inc,165017,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -25,Private,120596,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,44,United-States,<=50K -36,Private,345310,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -20,?,94746,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,Portugal,<=50K -38,Local-gov,338611,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -40,Self-emp-inc,275366,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -59,Private,188872,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -36,Private,359397,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,Other,Male,0,0,40,United-States,<=50K -33,Private,158800,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -31,Private,31510,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,358740,11th,7,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -31,Private,257148,Bachelors,13,Widowed,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K -48,Private,174525,1st-4th,2,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,52,Dominican-Republic,<=50K -52,Private,161599,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -41,Private,193494,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -40,Local-gov,231832,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Local-gov,146834,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K -24,Private,63927,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,278403,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,<=50K -53,Private,241141,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,?,<=50K -70,Local-gov,127463,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,175017,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1672,40,United-States,<=50K -54,Private,56741,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -44,Private,107683,Assoc-voc,11,Married-civ-spouse,Craft-repair,Wife,White,Female,4386,0,40,United-States,>50K -42,Private,270324,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Jamaica,<=50K -47,State-gov,304512,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -34,Private,167049,Bachelors,13,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,20,United-States,>50K -39,Self-emp-inc,88973,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,84,United-States,>50K -52,Private,210736,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -21,State-gov,73514,HS-grad,9,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -57,Self-emp-not-inc,75785,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,70,United-States,<=50K -71,Self-emp-not-inc,137723,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,1455,0,3,United-States,<=50K -28,Private,220043,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -21,State-gov,132247,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K -38,Private,65390,12th,8,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,?,177144,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,22,India,<=50K -47,Local-gov,358668,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,<=50K -85,Private,188328,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,5,United-States,<=50K -53,Private,350510,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -54,Federal-gov,72257,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7688,0,40,United-States,>50K -53,Private,183668,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3464,0,34,United-States,<=50K -46,Private,168262,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -46,Private,153536,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,40,United-States,>50K -36,Private,189703,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,>50K -73,Local-gov,147703,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -23,Private,173670,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,<=50K -42,Private,231832,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,45,United-States,>50K -39,Private,33223,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -34,Private,130021,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K -57,Self-emp-not-inc,50990,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,308241,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,60,United-States,<=50K -20,Private,254025,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,377622,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -64,Private,217802,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,39477,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,138946,7th-8th,4,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -17,Private,35603,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -67,Private,142624,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -22,Private,92609,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -41,Self-emp-not-inc,111232,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -22,Private,203518,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -38,Local-gov,233571,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Self-emp-not-inc,45093,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,175431,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,2174,0,40,United-States,<=50K -90,Private,225063,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K -18,Private,391495,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -31,Private,162312,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,35,Philippines,<=50K -34,Self-emp-not-inc,151733,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -44,Private,172026,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K -17,Private,323164,10th,6,Never-married,Craft-repair,Own-child,Other,Female,0,0,35,El-Salvador,<=50K -67,?,129824,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,0,6,United-States,<=50K -21,Private,203715,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -57,Private,156040,5th-6th,3,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -26,Private,186168,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -33,Private,154227,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -43,Private,141327,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,103925,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -46,Private,118633,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,80,United-States,<=50K -48,Private,207540,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,99999,0,60,United-States,>50K -52,Self-emp-not-inc,106728,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K -28,Private,192237,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -35,Private,132879,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,15024,0,40,Italy,>50K -17,Private,148345,11th,7,Never-married,Protective-serv,Own-child,White,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,326292,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -38,Private,33975,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K -34,Private,112115,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -36,Private,129357,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Private,175958,Some-college,10,Separated,Other-service,Not-in-family,White,Male,0,0,21,United-States,<=50K -58,Private,125317,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -46,Private,424934,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,40,Portugal,<=50K -28,Private,204648,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -46,Private,186256,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1902,55,United-States,>50K -35,Local-gov,126569,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,89813,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,149576,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -22,Private,220426,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,72055,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,94939,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -29,Federal-gov,104917,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,44,United-States,<=50K -23,Private,314645,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K -81,Self-emp-not-inc,108604,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -17,Private,153542,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -40,Private,226902,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -19,Private,450200,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -50,Self-emp-not-inc,279129,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -42,Private,242619,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -18,Self-emp-inc,357223,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -38,Private,206951,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -67,Private,70737,9th,5,Widowed,Handlers-cleaners,Unmarried,White,Female,0,0,32,United-States,<=50K -55,Private,200939,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -46,Self-emp-inc,192128,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -31,Private,188798,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -23,?,202920,Assoc-acdm,12,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -30,Private,205407,HS-grad,9,Divorced,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -23,?,24008,Some-college,10,Never-married,?,Own-child,White,Male,0,1719,40,United-States,<=50K -52,Private,172962,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -63,Local-gov,83791,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,45,United-States,<=50K -69,Private,304838,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,28,United-States,<=50K -40,Private,165858,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,80,United-States,>50K -33,Private,110592,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -81,Private,164416,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -71,Private,345339,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,28,United-States,<=50K -26,Private,129806,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -51,Local-gov,205100,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,32,United-States,>50K -26,Local-gov,250551,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -56,Self-emp-not-inc,285832,Masters,14,Married-civ-spouse,Sales,Wife,White,Female,0,0,70,United-States,<=50K -18,Private,338717,11th,7,Never-married,Handlers-cleaners,Not-in-family,Other,Male,0,0,25,United-States,<=50K -43,State-gov,187802,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,37,United-States,<=50K -46,Private,215895,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,4787,0,60,United-States,>50K -30,Private,100135,Bachelors,13,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -34,Private,137616,9th,5,Never-married,Sales,Unmarried,Black,Female,0,0,35,United-States,<=50K -36,Private,341672,HS-grad,9,Married-spouse-absent,Adm-clerical,Other-relative,Asian-Pac-Islander,Male,0,0,60,India,<=50K -44,Private,322044,Some-college,10,Divorced,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -38,Private,149347,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,<=50K -43,Self-emp-not-inc,293809,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -46,Local-gov,93639,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -22,?,166297,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K -61,Private,167840,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,2002,38,United-States,<=50K -31,Private,180656,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,?,<=50K -41,Self-emp-not-inc,197176,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,207965,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K -34,Federal-gov,23940,Some-college,10,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -39,Private,67433,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,4650,0,32,United-States,<=50K -20,Private,190916,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -45,Private,235892,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -18,Private,240767,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -27,Private,194515,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,37,United-States,<=50K -33,Private,156464,10th,6,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,117728,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -49,Self-emp-inc,195727,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,133454,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,191177,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,1726,40,United-States,<=50K -56,State-gov,71075,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -18,Private,233740,11th,7,Never-married,Sales,Own-child,White,Female,0,0,18,United-States,<=50K -65,Private,185455,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -17,Private,141445,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -27,Private,131712,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,50,United-States,>50K -23,Private,210338,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,30,United-States,<=50K -39,Private,465334,11th,7,Divorced,Farming-fishing,Unmarried,White,Male,0,0,1,United-States,<=50K -46,Private,168069,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -32,Private,80557,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -34,Private,110622,Bachelors,13,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -26,Private,40255,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -80,?,402748,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,14,Canada,<=50K -61,Private,97030,10th,6,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,36,United-States,<=50K -19,?,39477,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K -31,Self-emp-not-inc,152351,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -56,Federal-gov,229939,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,131230,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -48,Private,182211,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -73,Private,57435,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,>50K -29,?,225654,HS-grad,9,Never-married,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K -28,Private,252424,Assoc-voc,11,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,Cambodia,<=50K -48,?,155509,11th,7,Divorced,?,Unmarried,Black,Female,0,0,10,Haiti,<=50K -41,Private,29591,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,<=50K -28,Private,101774,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,50,United-States,>50K -37,Local-gov,74194,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -20,Private,171156,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -45,Private,145637,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Female,14344,0,48,United-States,>50K -34,Private,172714,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -72,Private,188528,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,Canada,>50K -54,Federal-gov,89705,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -24,Private,165107,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,347873,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,30,Vietnam,<=50K -21,?,298342,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -49,Local-gov,53482,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -45,Private,162958,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -41,Self-emp-not-inc,366483,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,36,Mexico,<=50K -51,Federal-gov,335481,Some-college,10,Separated,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,>50K -40,Private,197609,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,1340,40,United-States,<=50K -29,State-gov,160731,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,Germany,<=50K -26,Private,210848,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,2635,0,35,Mexico,<=50K -59,Private,196126,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,201519,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Local-gov,121124,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -22,State-gov,203518,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,16,United-States,<=50K -52,Private,254230,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -39,Private,136531,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,47,United-States,<=50K -25,Private,108505,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,31095,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -37,Private,149347,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -33,Self-emp-not-inc,188246,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,1590,60,United-States,<=50K -48,State-gov,185859,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K -29,Private,227879,Assoc-voc,11,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -59,Private,75541,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,99385,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,403061,1st-4th,2,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,Mexico,<=50K -23,State-gov,82067,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,140434,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -34,Private,159268,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -20,?,162945,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,365430,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -50,Self-emp-not-inc,163678,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,230919,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,60,United-States,>50K -37,Private,112264,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,192900,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,35,United-States,<=50K -23,Private,355856,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K -20,?,156916,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K -37,Private,172927,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,1741,70,United-States,<=50K -19,?,170125,Some-college,10,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -35,Private,305379,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K -24,Private,206974,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -23,Federal-gov,482096,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K -23,Local-gov,267843,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,32,United-States,<=50K -27,Private,173927,Some-college,10,Never-married,Tech-support,Own-child,Other,Female,0,0,32,Jamaica,<=50K -25,Private,225865,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K -27,State-gov,261278,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,80,?,<=50K -68,?,180082,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,23,United-States,<=50K -45,Private,115187,Assoc-voc,11,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -55,Private,451603,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,145041,Bachelors,13,Divorced,Machine-op-inspct,Other-relative,White,Male,0,2258,50,Dominican-Republic,<=50K -31,Self-emp-not-inc,132705,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -33,Local-gov,177695,HS-grad,9,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -40,Private,197033,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,307267,Masters,14,Never-married,Other-service,Not-in-family,White,Female,0,0,10,United-States,<=50K -39,Self-emp-not-inc,341643,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,1669,50,United-States,<=50K -32,Private,256362,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -55,Self-emp-not-inc,153484,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -46,Federal-gov,308077,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -29,Private,156266,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,Amer-Indian-Eskimo,Male,0,0,25,United-States,<=50K -49,Self-emp-inc,106634,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,27828,0,35,United-States,>50K -59,Private,198435,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,37210,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,237914,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Private,186106,7th-8th,4,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Private,236731,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Cuba,<=50K -20,Self-emp-inc,465725,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -43,Private,343121,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -19,Private,298435,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,2001,40,Cuba,<=50K -40,State-gov,255824,Masters,14,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -23,Local-gov,255252,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -61,Private,184167,12th,8,Married-civ-spouse,Craft-repair,Wife,Black,Female,0,0,40,United-States,<=50K -54,Private,145419,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -32,Private,87310,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -25,Self-emp-not-inc,55048,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,36,United-States,<=50K -30,Private,104052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K -19,Private,41163,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K -23,?,502633,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -65,Private,176279,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -25,Private,279833,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1590,44,United-States,<=50K -21,Private,254351,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -48,Private,284916,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,?,<=50K -23,Self-emp-not-inc,188925,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,180954,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,108023,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -31,Private,197058,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,2597,0,45,United-States,<=50K -58,Private,100303,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,473133,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -32,State-gov,27051,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K -29,Private,163708,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,45,United-States,>50K -61,Private,52765,HS-grad,9,Divorced,Other-service,Other-relative,White,Female,0,0,99,United-States,<=50K -43,Self-emp-inc,84924,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,>50K -38,Private,181705,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,52012,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -36,Private,167691,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -45,Federal-gov,182470,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -62,Private,200834,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -46,State-gov,76075,Assoc-voc,11,Divorced,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -42,Self-emp-not-inc,200574,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K -31,Private,29144,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -42,Self-emp-not-inc,34722,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,177907,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -51,Private,238481,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1902,42,United-States,>50K -45,Private,182541,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -73,Federal-gov,142426,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,25124,0,20,United-States,>50K -19,Private,216413,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,55,United-States,<=50K -29,Private,30070,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,82699,Prof-school,15,Divorced,Prof-specialty,Not-in-family,Black,Female,13550,0,70,United-States,>50K -32,Private,236861,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -46,Private,114328,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,198229,Prof-school,15,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,65,United-States,>50K -24,Private,138892,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -41,Local-gov,271927,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -64,?,220258,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,24,United-States,<=50K -28,Private,212588,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,477867,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,394927,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -35,Private,155611,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Female,114,0,40,United-States,<=50K -39,Private,109351,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,>50K -38,Private,206520,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,156526,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,315437,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,181665,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,50,United-States,<=50K -40,Private,60594,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -29,Private,221233,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,37,United-States,<=50K -36,Self-emp-inc,176900,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,25,United-States,<=50K -47,Private,64563,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,42,United-States,>50K -23,Private,99408,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -41,Self-emp-not-inc,219869,Some-college,10,Widowed,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K -41,Local-gov,135056,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,8614,0,50,United-States,>50K -18,Private,79077,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,22,United-States,<=50K -34,Private,255830,Assoc-acdm,12,Divorced,Craft-repair,Unmarried,Black,Female,7443,0,40,United-States,<=50K -38,Self-emp-not-inc,22245,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -34,Private,150154,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -62,State-gov,342049,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -66,Self-emp-not-inc,99927,HS-grad,9,Widowed,Tech-support,Not-in-family,White,Female,0,0,45,United-States,<=50K -18,Private,191784,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -41,Private,175883,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,328239,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -45,Private,107231,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -24,Local-gov,155818,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -60,Private,282421,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,?,<=50K -39,Private,241998,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Federal-gov,55363,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -29,Private,137240,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K -37,Private,361951,Bachelors,13,Never-married,Sales,Not-in-family,Black,Male,0,0,48,?,<=50K -21,State-gov,311311,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,12,United-States,<=50K -48,Private,186299,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Private,168055,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K -23,Private,305423,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -49,Private,393715,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -29,Private,36440,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Self-emp-not-inc,106761,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -72,?,235014,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,2465,40,United-States,<=50K -29,Local-gov,249932,11th,7,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -45,Private,382242,Bachelors,13,Never-married,Adm-clerical,Unmarried,White,Female,0,0,30,?,<=50K -29,Private,213152,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,52,United-States,<=50K -37,State-gov,26898,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,435356,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K -70,?,103963,HS-grad,9,Widowed,?,Not-in-family,White,Male,0,0,6,United-States,<=50K -43,Private,185860,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -63,Private,188999,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -64,Self-emp-not-inc,108654,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1421,35,United-States,<=50K -38,Private,54953,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -24,Private,130620,Some-college,10,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,40,?,<=50K -29,Private,273884,HS-grad,9,Married-spouse-absent,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K -30,Private,392518,Assoc-acdm,12,Married-spouse-absent,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K -66,Self-emp-not-inc,198766,HS-grad,9,Widowed,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,66935,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -39,Federal-gov,135500,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -22,Local-gov,111697,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -31,Private,141288,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,296450,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,94448,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,138200,Assoc-acdm,12,Never-married,Farming-fishing,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,217826,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,Haiti,<=50K -57,?,182836,Some-college,10,Married-civ-spouse,?,Wife,White,Female,3103,0,40,United-States,>50K -64,Self-emp-not-inc,46366,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -31,Private,168275,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K -74,Local-gov,214514,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -43,State-gov,107439,Some-college,10,Never-married,Other-service,Not-in-family,Black,Female,0,0,30,United-States,<=50K -80,Self-emp-inc,164909,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,54,United-States,>50K -28,Federal-gov,329426,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -77,Local-gov,181974,7th-8th,4,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -68,Private,176468,HS-grad,9,Divorced,Priv-house-serv,Unmarried,Black,Female,0,0,24,United-States,<=50K -51,State-gov,187686,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -21,Private,229769,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K -43,Private,45975,12th,8,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Italy,<=50K -42,Private,187702,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,102585,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,327112,11th,7,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,?,167558,7th-8th,4,Married-civ-spouse,?,Wife,White,Female,0,0,40,Mexico,<=50K -32,Private,296538,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,<=50K -56,Private,169560,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,185283,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,224793,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,1719,40,United-States,<=50K -23,Federal-gov,478457,11th,7,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -54,Private,104413,Some-college,10,Separated,Tech-support,Other-relative,Black,Female,4101,0,40,United-States,<=50K -28,Self-emp-not-inc,175710,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,?,<=50K -34,Private,85632,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -48,Private,102359,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -56,Local-gov,237546,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,99,United-States,<=50K -31,Private,96245,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,42,United-States,<=50K -42,Private,91453,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K -36,Private,131039,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Trinadad&Tobago,<=50K -52,Private,106176,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Male,0,3770,40,United-States,<=50K -55,Private,329797,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,153932,11th,7,Married-civ-spouse,Craft-repair,Own-child,White,Male,2580,0,30,United-States,<=50K -35,State-gov,52738,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -51,Private,25932,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,>50K -19,Private,78374,Some-college,10,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -59,Private,653215,11th,7,Widowed,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,318061,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,80,United-States,<=50K -46,State-gov,260782,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,?,340580,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,45,United-States,<=50K -46,Self-emp-not-inc,45564,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -26,Private,209051,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,25,United-States,<=50K -55,Private,100821,HS-grad,9,Married-spouse-absent,Priv-house-serv,Not-in-family,Black,Female,0,0,36,United-States,<=50K -28,Private,86268,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -61,Federal-gov,95680,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,3103,0,40,United-States,>50K -35,Private,327164,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,>50K -21,?,117210,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Local-gov,136175,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,35,United-States,<=50K -21,Private,232591,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,8,United-States,<=50K -33,Local-gov,29144,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Self-emp-inc,64875,Assoc-voc,11,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -44,Private,184011,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,60,United-States,<=50K -29,Private,244246,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,8614,0,50,United-States,>50K -39,Private,357173,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -32,Private,203181,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K -47,Private,299508,HS-grad,9,Divorced,Tech-support,Unmarried,Black,Female,0,0,55,United-States,<=50K -28,Private,198493,Assoc-acdm,12,Never-married,Adm-clerical,Other-relative,White,Male,0,0,35,United-States,<=50K -59,Local-gov,358747,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -38,Private,91039,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,5178,0,48,United-States,>50K -23,Private,34918,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K -44,Private,97159,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -55,Federal-gov,212600,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,?,>50K -65,Private,90113,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -19,Private,96705,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,14,United-States,<=50K -58,Private,156873,11th,7,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,35,United-States,<=50K -49,Private,136358,Masters,14,Divorced,Sales,Unmarried,Other,Female,0,0,20,Peru,<=50K -44,Private,227065,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,?,>50K -44,Local-gov,193144,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -33,Private,317660,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -38,Self-emp-not-inc,85492,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -37,Local-gov,203628,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,54,United-States,>50K -30,Private,183801,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,132686,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,50818,Masters,14,Never-married,Tech-support,Not-in-family,White,Male,0,0,55,United-States,<=50K -49,State-gov,160812,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -28,Private,212286,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,Local-gov,77072,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -41,State-gov,176155,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -20,State-gov,219211,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K -40,Private,356934,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -57,Private,143266,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,?,>50K -36,?,194809,Bachelors,13,Never-married,?,Own-child,White,Female,0,0,50,United-States,<=50K -62,Private,138157,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,437825,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -31,Private,165503,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,?,<=50K -68,Private,152053,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,48,United-States,<=50K -18,Private,211273,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,19,United-States,<=50K -30,State-gov,576645,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K -42,?,148951,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,12,Ecuador,<=50K -38,Private,38145,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K -19,Private,66619,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,37,United-States,<=50K -22,Private,126613,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,France,<=50K -46,State-gov,135854,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -57,Private,132145,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -65,?,194920,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -18,Private,260387,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Cuba,<=50K -67,Private,176388,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -28,Private,77009,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -30,Private,385177,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,24,United-States,>50K -20,Private,510643,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,100135,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -35,Private,297697,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -38,Private,179481,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -23,Private,134045,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -64,Self-emp-not-inc,275034,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -33,Private,127651,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,8614,0,40,United-States,>50K -24,Private,237262,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -18,?,274445,HS-grad,9,Never-married,?,Own-child,White,Male,0,1602,20,United-States,<=50K -40,?,141583,Bachelors,13,Never-married,?,Unmarried,Black,Female,0,0,35,United-States,<=50K -27,?,294642,HS-grad,9,Separated,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -51,Self-emp-not-inc,181179,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,<=50K -27,Private,184493,HS-grad,9,Separated,Handlers-cleaners,Own-child,White,Female,0,1594,25,United-States,<=50K -48,Local-gov,125892,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -27,Local-gov,118235,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,40,United-States,<=50K -24,Private,119329,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -31,Self-emp-not-inc,189843,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -42,Private,167357,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,213,40,United-States,<=50K -51,Private,103803,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,50,United-States,<=50K -41,Private,145175,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,3103,0,40,United-States,>50K -26,Private,158846,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,44,United-States,<=50K -69,Private,203313,7th-8th,4,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -63,Private,125954,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,>50K -35,Private,102178,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K -35,Private,139364,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -62,Self-emp-not-inc,265007,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Ecuador,<=50K -26,Private,61996,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,62,United-States,<=50K -63,Private,209790,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -23,Private,117779,12th,8,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -43,Self-emp-inc,173326,HS-grad,9,Never-married,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K -44,Private,318046,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K -56,Local-gov,204021,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -54,Self-emp-not-inc,236157,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -32,Private,42900,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -42,Private,144002,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -37,Private,126954,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -24,Private,228649,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,126094,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,113106,HS-grad,9,Never-married,Sales,Other-relative,White,Female,0,0,19,United-States,<=50K -30,Private,118941,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Federal-gov,205675,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,75,United-States,>50K -19,Private,89295,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,35,United-States,<=50K -30,Private,173858,HS-grad,9,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,2597,0,40,?,<=50K -26,Private,168251,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -38,State-gov,143059,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -74,?,41737,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,2149,30,United-States,<=50K -54,Private,266598,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -20,Private,181796,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -22,State-gov,214731,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K -40,Private,219869,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,99999,0,75,United-States,>50K -23,Private,211968,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -22,Private,38707,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -18,Self-emp-not-inc,58700,9th,5,Never-married,Farming-fishing,Other-relative,Other,Female,0,0,40,Mexico,<=50K -24,Private,160261,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,20,France,<=50K -30,Private,160594,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -38,Private,152307,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,41,United-States,>50K -27,Private,100079,HS-grad,9,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,60,China,<=50K -21,Private,279472,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,55,United-States,<=50K -43,Private,149102,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -26,Private,177625,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Federal-gov,178678,10th,6,Divorced,Adm-clerical,Unmarried,White,Female,0,1380,50,United-States,<=50K -58,Self-emp-not-inc,21383,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,86019,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,36,United-States,<=50K -63,Private,181153,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,?,>50K -36,Federal-gov,223749,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -21,?,33087,Some-college,10,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K -21,Private,253190,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,48,United-States,<=50K -51,Private,165278,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,46,United-States,>50K -51,Private,279452,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,Mexico,<=50K -43,Private,290660,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -47,Private,274883,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,>50K -68,Self-emp-not-inc,35468,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,24,United-States,<=50K -18,Private,195318,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,23,United-States,<=50K -34,Private,256362,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Italy,>50K -49,Private,148169,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,5013,0,40,United-States,<=50K -65,Self-emp-not-inc,538099,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -19,Private,186682,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K -59,Self-emp-not-inc,156797,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,13550,0,60,United-States,>50K -29,Private,162257,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,208881,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,60,United-States,>50K -39,Private,159168,Assoc-voc,11,Widowed,Exec-managerial,Unmarried,White,Female,0,3004,40,United-States,>50K -64,Private,172740,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,12,United-States,<=50K -48,Federal-gov,186256,HS-grad,9,Divorced,Farming-fishing,Other-relative,White,Male,0,0,40,United-States,<=50K -37,Federal-gov,110861,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,128699,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,Ecuador,<=50K -31,Private,271933,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -30,Private,102320,Assoc-voc,11,Separated,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -54,Self-emp-inc,117674,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -62,Private,190273,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Private,217747,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -44,Private,99830,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K -40,Private,343068,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K -32,State-gov,204052,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -28,Private,267912,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,Mexico,<=50K -31,Private,207537,Some-college,10,Separated,Sales,Not-in-family,White,Male,2174,0,52,United-States,<=50K -38,Private,256864,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -39,Self-emp-not-inc,306678,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -47,Private,101204,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,4064,0,40,United-States,<=50K -43,Private,77373,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,47,United-States,>50K -27,Private,371103,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -46,Private,316271,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -56,Self-emp-not-inc,51916,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -34,Private,159008,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,>50K -27,Private,153475,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -19,Private,118549,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -58,Private,315081,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,42,United-States,>50K -20,Private,122622,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,81786,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Private,194752,HS-grad,9,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,45,United-States,<=50K -48,Private,208662,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K -28,Self-emp-inc,173944,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,15024,0,65,United-States,>50K -34,State-gov,49325,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -38,Private,425502,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -25,Local-gov,55360,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -23,Private,432480,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -48,Private,155781,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,2231,30,United-States,>50K -37,Local-gov,216473,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,>50K -36,Private,185366,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,247515,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,Puerto-Rico,<=50K -70,Private,210673,10th,6,Widowed,Adm-clerical,Other-relative,White,Male,0,0,20,United-States,<=50K -32,Private,107435,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,?,217300,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,36,United-States,<=50K -20,?,39803,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,482211,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -47,Federal-gov,169549,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,60,?,>50K -23,Private,353542,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,8,United-States,<=50K -40,Private,114200,HS-grad,9,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,245173,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,212895,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -49,?,95636,10th,6,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Self-emp-not-inc,271486,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -37,Private,258836,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -56,Private,288530,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,37,United-States,>50K -64,Private,47589,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -31,Private,295099,Some-college,10,Divorced,Tech-support,Own-child,Black,Female,0,0,40,United-States,<=50K -38,Private,275338,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,45,United-States,<=50K -52,Self-emp-not-inc,168553,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,142766,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,18,United-States,<=50K -31,Private,72887,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,47,United-States,>50K -35,Private,102946,Some-college,10,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,1669,45,United-States,<=50K -66,Self-emp-not-inc,244749,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,Cuba,<=50K -36,Private,166115,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,56,United-States,<=50K -26,Private,213383,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Self-emp-inc,107231,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -17,?,130969,9th,5,Never-married,?,Own-child,Black,Male,0,0,20,United-States,<=50K -27,Private,221977,1st-4th,2,Married-spouse-absent,Priv-house-serv,Not-in-family,White,Female,0,0,40,Mexico,<=50K -41,Private,43467,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,99,United-States,<=50K -52,Private,357596,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K -48,Private,146497,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,50,United-States,>50K -33,Private,317809,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -22,Private,190290,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K -59,Private,194573,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K -72,?,144461,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,>50K -52,Local-gov,240638,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -18,Private,52776,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -40,Private,50524,12th,8,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,324023,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -17,Private,110916,11th,7,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K -23,Private,203924,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,70,United-States,<=50K -53,Private,214868,Assoc-voc,11,Never-married,Adm-clerical,Other-relative,Black,Female,0,2001,40,United-States,<=50K -27,Private,275466,10th,6,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -27,Local-gov,198708,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,37,United-States,<=50K -23,Private,179241,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -32,Private,154981,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K -29,Private,178811,Assoc-voc,11,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,130018,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -47,Federal-gov,87504,Bachelors,13,Divorced,Tech-support,Unmarried,White,Female,0,0,50,United-States,<=50K -29,Private,377414,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,177927,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -60,Private,137490,5th-6th,3,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -25,Private,262617,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,>50K -50,Private,30682,7th-8th,4,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -60,Private,119684,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,40,United-States,>50K -52,Private,187938,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,49,United-States,<=50K -35,Private,122353,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Private,75755,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -43,Private,91316,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K -55,Private,134789,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,20,United-States,<=50K -22,Private,115892,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,104457,Bachelors,13,Married-spouse-absent,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,40,?,<=50K -51,Local-gov,230767,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,Cuba,<=50K -61,Private,227332,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,160264,Some-college,10,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,174533,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -73,Private,53114,Some-college,10,Widowed,Sales,Not-in-family,White,Female,2538,0,20,United-States,<=50K -20,Private,163870,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,228709,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -36,Private,172571,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -28,Private,335542,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,1628,50,United-States,<=50K -63,Local-gov,241404,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Female,0,0,35,United-States,<=50K -50,Private,197189,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -59,?,102058,1st-4th,2,Married-civ-spouse,?,Husband,White,Male,0,0,45,Portugal,<=50K -41,Self-emp-inc,104813,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -62,Private,261437,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,366842,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,?,>50K -21,?,121468,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -48,Self-emp-inc,214994,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -67,Private,229709,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,249039,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,>50K -49,Private,142287,Some-college,10,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -54,Private,259323,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -18,Private,238281,11th,7,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -60,Private,156774,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -27,Private,86153,HS-grad,9,Never-married,Tech-support,Unmarried,White,Female,0,0,40,Germany,<=50K -62,Private,93997,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K -39,Self-emp-inc,91039,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -52,Private,224198,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,51,United-States,<=50K -54,Private,221336,HS-grad,9,Widowed,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -28,Private,128012,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,?,<=50K -53,Local-gov,231166,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,79702,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,40,United-States,<=50K -24,Self-emp-not-inc,132320,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -37,?,33355,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -55,?,177557,HS-grad,9,Divorced,?,Other-relative,White,Male,0,0,40,United-States,<=50K -47,Private,148549,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,301563,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,113106,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -41,Private,304175,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -25,State-gov,230200,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -17,Private,313444,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -34,Private,247328,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -34,Private,132565,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,State-gov,539019,Some-college,10,Never-married,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K -24,Private,114292,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -32,Private,227608,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -21,State-gov,185554,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,11,United-States,<=50K -46,Self-emp-not-inc,181372,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,344592,HS-grad,9,Never-married,Sales,Not-in-family,Black,Female,0,0,35,United-States,<=50K -29,Self-emp-not-inc,102326,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -43,Self-emp-not-inc,220647,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2377,50,United-States,<=50K -18,?,30246,11th,7,Never-married,?,Own-child,White,Female,0,0,45,United-States,<=50K -33,Private,496743,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,88,United-States,<=50K -21,Private,161508,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -33,State-gov,30494,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,256764,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1564,40,United-States,>50K -20,?,49819,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -42,?,338281,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,0,20,Iran,<=50K -21,Local-gov,256356,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,25,United-States,<=50K -25,Private,318644,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,227594,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -59,Private,165695,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,32,United-States,>50K -55,Private,127728,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -49,Private,123681,Assoc-acdm,12,Separated,Sales,Unmarried,White,Male,0,0,35,United-States,<=50K -48,Private,168038,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,1564,50,United-States,>50K -32,Private,154950,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,44,United-States,>50K -25,Private,148298,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -41,Private,63042,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,20,United-States,<=50K -57,Local-gov,101444,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Private,455379,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -25,Private,211097,5th-6th,3,Divorced,Other-service,Unmarried,Other,Female,0,0,20,Honduras,<=50K -61,Local-gov,153264,HS-grad,9,Widowed,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,?,263220,Some-college,10,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -43,Private,180138,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -22,Private,208946,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,?,<=50K -33,Private,321709,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,>50K -39,Private,215981,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -44,State-gov,26880,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,1092,40,United-States,<=50K -30,Self-emp-not-inc,90705,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,185068,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,20,Puerto-Rico,<=50K -37,Private,268390,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Mexico,<=50K -55,Private,102058,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -51,Self-emp-not-inc,421132,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,191803,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,13,?,<=50K -60,Private,181954,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,25,Iran,<=50K -17,?,34505,11th,7,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K -30,Private,93973,11th,7,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K -63,Private,355459,12th,8,Widowed,Priv-house-serv,Unmarried,Black,Female,0,0,35,United-States,<=50K -37,Private,173586,7th-8th,4,Never-married,Other-service,Own-child,Black,Male,0,0,56,United-States,<=50K -32,Private,312055,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -64,Federal-gov,353479,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,45,United-States,>50K -21,Private,321426,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,49,United-States,<=50K -53,Private,228752,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -46,Private,281647,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,161615,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,187376,Assoc-acdm,12,Separated,Adm-clerical,Not-in-family,White,Male,0,0,35,United-States,<=50K -47,Private,234994,7th-8th,4,Separated,Craft-repair,Unmarried,White,Male,0,0,40,Puerto-Rico,<=50K -58,?,169329,9th,5,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K -40,Private,216116,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,Jamaica,<=50K -36,Private,109204,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,88879,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,200863,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -23,Private,223811,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -32,Private,360761,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -33,Private,166275,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,149102,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,117381,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,306993,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -32,Local-gov,232475,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -56,Private,165867,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,268234,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K -59,Self-emp-inc,110457,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -21,Private,329174,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,4865,0,40,United-States,<=50K -37,Private,109472,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,418176,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -28,Private,380390,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -18,?,36064,12th,8,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -59,Self-emp-inc,95835,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -25,Local-gov,250770,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -17,Private,67603,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -30,State-gov,352045,Masters,14,Separated,Craft-repair,Not-in-family,White,Male,99999,0,40,United-States,>50K -21,Private,196742,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,28,United-States,<=50K -31,Private,303942,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -56,Private,246687,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -64,Self-emp-not-inc,187793,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,205816,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -60,Private,182343,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,42959,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,36,United-States,<=50K -46,Private,140644,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,2258,50,United-States,<=50K -19,Private,183264,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,30,United-States,<=50K -49,Private,294671,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,88926,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -65,Private,64667,Some-college,10,Divorced,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,15,United-States,<=50K -27,Private,416946,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -52,Private,208570,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,116649,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -78,Local-gov,87052,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,5,United-States,<=50K -46,Self-emp-not-inc,102869,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -60,Self-emp-inc,123552,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,Ireland,<=50K -28,Private,157262,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,146890,9th,5,Never-married,Farming-fishing,Own-child,Black,Male,0,0,20,United-States,<=50K -57,Private,257200,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -48,Local-gov,452402,Doctorate,16,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,15,United-States,<=50K -39,Private,531055,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -38,Self-emp-inc,298539,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -20,Private,95989,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -32,Private,162572,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,48,United-States,>50K -41,Local-gov,75313,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -66,Private,117162,10th,6,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,32,United-States,<=50K -46,Private,173461,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -48,Private,349986,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -24,Private,204244,9th,5,Never-married,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K -31,Private,36222,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,65,United-States,<=50K -38,Self-emp-inc,320811,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -57,Private,82676,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,<=50K -20,Private,152189,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -54,Self-emp-inc,52565,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -62,?,121319,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,144301,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,United-States,<=50K -21,Private,162869,Some-college,10,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -23,Private,179241,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -34,State-gov,62327,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,121012,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -43,Private,60001,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -55,?,105582,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K -34,Local-gov,454076,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -21,State-gov,155818,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -40,Private,434081,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -48,Federal-gov,265386,Assoc-acdm,12,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -47,Private,44671,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K -63,Private,190296,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K -33,Federal-gov,198827,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -64,?,22228,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,>50K -28,Private,109857,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Self-emp-not-inc,190968,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,25,United-States,<=50K -51,Private,75235,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -67,Self-emp-inc,127605,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,60,Italy,>50K -33,Private,318982,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K -31,Private,229636,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2042,40,Mexico,<=50K -46,Private,233802,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,>50K -45,Self-emp-not-inc,28119,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,65,United-States,<=50K -66,State-gov,198363,7th-8th,4,Widowed,Other-service,Not-in-family,Black,Female,2964,0,40,United-States,<=50K -58,Local-gov,153914,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -40,Private,143582,Masters,14,Widowed,Sales,Own-child,Asian-Pac-Islander,Female,0,0,50,United-States,<=50K -71,?,78786,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,2149,24,United-States,<=50K -42,State-gov,126333,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -46,Self-emp-not-inc,182689,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,35,United-States,>50K -19,Private,35245,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -19,Private,160120,Some-college,10,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,2597,0,40,?,<=50K -37,Self-emp-not-inc,400287,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,15,United-States,>50K -22,Private,50610,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -64,Private,349826,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,35890,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,174209,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -47,Private,63225,1st-4th,2,Divorced,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -35,Private,164519,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,81145,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -32,Local-gov,73514,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,Asian-Pac-Islander,Female,0,0,50,United-States,<=50K -49,Local-gov,452402,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,7688,0,35,United-States,>50K -19,?,318056,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,285897,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,40,United-States,>50K -19,?,194404,Some-college,10,Never-married,?,Own-child,White,Female,0,0,32,United-States,<=50K -20,Private,434710,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -42,Federal-gov,177142,Bachelors,13,Never-married,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K -35,Federal-gov,182863,Bachelors,13,Separated,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K -62,Private,394645,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,110457,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,292465,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -35,Private,238433,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -55,Private,160631,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4508,0,8,Yugoslavia,<=50K -29,Private,285657,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -24,Private,236907,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K -19,Private,378418,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -50,Self-emp-not-inc,213279,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,105503,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,79160,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -62,?,139391,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,Ireland,>50K -33,Self-emp-not-inc,190027,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,70,United-States,>50K -79,Private,160758,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K -33,Private,361280,Doctorate,16,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K -36,Private,199288,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -46,Self-emp-not-inc,204698,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -17,Private,213354,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,6,United-States,<=50K -22,Private,282579,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -39,Private,99783,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -27,Private,446947,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,55,United-States,<=50K -57,Private,186202,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Self-emp-inc,177951,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,32,United-States,<=50K -28,Private,258364,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -46,Local-gov,200727,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -32,Self-emp-not-inc,33404,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,10520,0,50,United-States,>50K -63,Federal-gov,31115,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -21,Private,301915,11th,7,Separated,Sales,Not-in-family,Other,Female,0,0,30,Mexico,<=50K -44,Private,201908,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5013,0,40,United-States,<=50K -40,Private,168071,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -32,Private,347623,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,35890,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -31,Private,154227,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,161532,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,178282,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,263561,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -52,Private,201783,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -30,Private,161153,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,193125,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -28,Private,126060,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,99999,0,36,United-States,>50K -52,Private,186826,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,1564,40,United-States,>50K -32,Private,156192,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -35,Private,193094,HS-grad,9,Never-married,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K -26,Private,472411,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,147069,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -40,Private,300195,Some-college,10,Divorced,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -75,?,91417,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K -23,Private,182342,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,Italy,<=50K -32,Private,258406,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Mexico,<=50K -27,Private,87239,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,294406,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -18,?,41385,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,4508,0,40,United-States,<=50K -66,Private,197414,7th-8th,4,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -47,Private,323212,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Local-gov,31532,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -30,Private,127610,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,20,Greece,<=50K -26,Private,163189,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,594187,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,United-States,>50K -39,Private,269323,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,1485,38,United-States,>50K -33,Private,96480,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,40,United-States,>50K -58,Private,200316,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,212780,HS-grad,9,Never-married,Sales,Not-in-family,Black,Female,0,0,30,United-States,<=50K -49,Self-emp-inc,120121,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -20,Private,367240,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -24,Private,117606,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,35,United-States,<=50K -33,Private,122749,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -59,Private,169560,10th,6,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,269890,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -43,Private,303426,HS-grad,9,Divorced,Other-service,Unmarried,Asian-Pac-Islander,Male,5721,0,40,Philippines,<=50K -25,Private,112835,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,Private,226503,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -46,Private,207733,1st-4th,2,Widowed,Other-service,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K -20,Private,275421,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -37,Local-gov,165883,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -56,Self-emp-inc,236676,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -19,?,171578,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -30,Private,685955,Bachelors,13,Never-married,Sales,Unmarried,Black,Male,0,0,50,United-States,<=50K -32,Private,72887,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -34,Private,135304,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -27,Private,218781,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,126540,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,261943,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Guatemala,<=50K -34,State-gov,111843,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,3325,0,40,United-States,<=50K -71,Self-emp-not-inc,401203,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,34,United-States,>50K -56,Private,117400,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -61,?,113658,10th,6,Divorced,?,Other-relative,White,Female,0,0,20,United-States,<=50K -40,Local-gov,166822,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,36,United-States,>50K -35,Private,151322,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,102684,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,152652,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,193416,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,3,United-States,<=50K -35,Private,103323,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -37,Self-emp-not-inc,33975,Bachelors,13,Separated,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -20,?,163665,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -59,Private,187485,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -50,Private,110327,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -28,Private,179498,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Local-gov,197915,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,103995,Doctorate,16,Widowed,Prof-specialty,Not-in-family,White,Female,10520,0,60,United-States,>50K -46,Private,123807,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,15,United-States,<=50K -23,Private,43535,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -57,Self-emp-not-inc,200316,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -60,Private,125832,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,72,Canada,<=50K -51,State-gov,71691,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K -50,Private,168212,Some-college,10,Married-spouse-absent,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -45,Federal-gov,98320,Some-college,10,Divorced,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,914,0,40,United-States,<=50K -41,Private,173307,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,43,United-States,<=50K -56,Private,442116,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,54,United-States,>50K -18,Private,130849,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,17,United-States,<=50K -51,Private,159015,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -32,Private,147921,Prof-school,15,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -48,Private,268022,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,55,United-States,>50K -51,Private,253357,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,339954,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -32,State-gov,347623,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,3411,0,40,United-States,<=50K -53,Federal-gov,169112,Prof-school,15,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -37,Private,166213,HS-grad,9,Divorced,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K -62,Private,216765,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -51,Private,335997,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K -18,?,354236,10th,6,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -70,Private,178120,HS-grad,9,Widowed,Priv-house-serv,Other-relative,Black,Female,0,0,8,United-States,<=50K -54,Private,312631,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,50,United-States,>50K -67,Local-gov,31924,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,2964,0,41,United-States,<=50K -34,Federal-gov,96483,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,0,0,60,United-States,>50K -26,Private,305304,11th,7,Separated,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -52,Local-gov,111722,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,72,United-States,<=50K -24,Private,197554,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -51,Private,257126,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,101597,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -23,Private,220115,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,210844,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2042,40,Columbia,<=50K -25,Self-emp-inc,66935,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K -81,Private,192813,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,25,Portugal,<=50K -35,Self-emp-not-inc,95639,11th,7,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,4,United-States,<=50K -40,Self-emp-not-inc,223881,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -33,Private,223105,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -33,Private,192644,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,90,United-States,>50K -45,Self-emp-not-inc,58683,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,5178,0,48,United-States,>50K -22,Private,162282,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,55,United-States,<=50K -38,State-gov,239539,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -46,Private,117849,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K -17,Private,99237,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -18,?,149343,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,3,United-States,<=50K -42,Self-emp-not-inc,193882,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -41,Private,107845,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -58,Private,268295,5th-6th,3,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -43,Private,71269,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -42,Self-emp-inc,204598,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,3464,0,80,United-States,<=50K -19,?,98283,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,32,United-States,<=50K -45,Self-emp-inc,188694,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -41,Private,201908,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -38,Private,191137,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,35,United-States,<=50K -58,Self-emp-not-inc,129786,HS-grad,9,Separated,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -37,Private,302903,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,40,United-States,>50K -34,Private,143526,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,182117,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,172753,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,85,United-States,>50K -37,Private,139770,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -47,Private,215686,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,50,United-States,<=50K -31,Private,181388,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,45,United-States,>50K -57,Private,81973,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,15024,0,45,United-States,>50K -44,Private,328581,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -64,Private,110110,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -31,Private,174201,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Private,137421,Masters,14,Married-spouse-absent,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,35,India,>50K -34,Private,153927,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -28,Federal-gov,187649,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -72,Private,149992,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -21,Private,234640,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,47,United-States,<=50K -52,Local-gov,311569,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -44,Private,182383,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K -57,State-gov,344381,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,7688,0,75,United-States,>50K -35,Self-emp-not-inc,280570,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -21,Private,215039,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -38,Local-gov,339442,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -28,Local-gov,168065,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -59,Private,47534,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K -54,Local-gov,116428,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,121789,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K -29,State-gov,143139,10th,6,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -18,Private,187790,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -31,Private,140559,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -17,Private,184025,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K -47,Private,257824,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -42,Private,89226,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,7688,0,40,Greece,>50K -21,Private,145917,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -32,Private,207301,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -51,Private,135388,12th,8,Widowed,Machine-op-inspct,Not-in-family,White,Male,0,1564,40,United-States,>50K -24,Private,266467,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -60,Private,200047,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -29,Federal-gov,121040,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -24,Private,199694,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -43,Private,301007,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K -64,Self-emp-not-inc,253759,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1977,50,United-States,>50K -53,Private,120839,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -64,State-gov,33342,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,205195,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,362873,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,El-Salvador,<=50K -25,Private,104614,HS-grad,9,Never-married,Protective-serv,Unmarried,White,Female,0,0,25,United-States,<=50K -27,Self-emp-not-inc,32280,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K -30,Private,191777,12th,8,Never-married,Other-service,Own-child,Black,Female,0,0,20,?,<=50K -39,Private,144169,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,264076,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,119164,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -41,Private,126845,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,228395,Bachelors,13,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K -32,Private,242654,Some-college,10,Divorced,Sales,Unmarried,Black,Female,0,1138,40,Honduras,<=50K -69,Self-emp-not-inc,30951,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -36,Private,48855,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -57,Self-emp-not-inc,50791,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -58,Local-gov,248739,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,165418,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,79464,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K -36,Local-gov,321247,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,104269,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -39,Self-emp-inc,129573,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -41,Private,222142,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3464,0,40,United-States,<=50K -24,Private,126613,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -54,Private,145548,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,331861,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K -39,Private,156261,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -27,Private,173944,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -25,Private,69739,10th,6,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Portugal,<=50K -32,Private,266345,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,278006,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Self-emp-inc,82578,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -66,Private,154164,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,7,?,<=50K -25,Private,250038,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -48,Private,175468,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,16,United-States,<=50K -23,State-gov,435835,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,7,United-States,<=50K -70,Private,135601,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,35,United-States,>50K -20,State-gov,162945,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,244115,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,16,United-States,<=50K -29,Private,351902,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,34,United-States,<=50K -33,Private,291414,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,278736,12th,8,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -44,Private,138975,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -32,Private,165295,5th-6th,3,Never-married,Other-service,Not-in-family,White,Female,0,0,40,Mexico,<=50K -49,Self-emp-inc,93557,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -66,Self-emp-not-inc,176315,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,401,0,20,United-States,<=50K -35,Private,187167,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,241582,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,33,United-States,<=50K -31,Private,247328,11th,7,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -75,Self-emp-not-inc,157778,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,15831,0,50,United-States,>50K -66,Self-emp-not-inc,67765,11th,7,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,84,United-States,>50K -19,?,229431,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,192203,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,93326,Some-college,10,Separated,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,118889,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,68,United-States,>50K -29,State-gov,237028,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -63,Private,156127,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -46,Private,151325,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,311350,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -44,Self-emp-not-inc,273465,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -66,Private,172646,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,1173,0,12,United-States,<=50K -51,Private,379797,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -38,Private,131827,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K -26,State-gov,158734,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,233533,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,42,United-States,<=50K -48,Private,246367,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -42,Local-gov,142049,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,32,United-States,<=50K -50,Private,101119,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,104830,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,594,0,35,United-States,<=50K -42,Private,173981,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Italy,>50K -63,Private,195338,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -18,Private,64253,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -56,Private,182062,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,>50K -33,Private,111696,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -41,?,168071,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,314369,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Male,0,0,45,United-States,<=50K -37,Private,178877,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -42,Private,111483,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,>50K -18,?,192321,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -62,Private,171757,7th-8th,4,Widowed,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -29,Federal-gov,157313,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,38772,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Federal-gov,72338,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -67,Self-emp-not-inc,132626,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -50,Private,176240,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -40,Private,202692,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -18,Private,70021,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -55,Private,181242,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,20,United-States,<=50K -48,Private,196707,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -80,Local-gov,81534,1st-4th,2,Widowed,Farming-fishing,Not-in-family,Asian-Pac-Islander,Male,1086,0,20,Philippines,<=50K -25,Private,137658,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -24,Private,253190,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -46,Private,233059,9th,5,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,State-gov,177787,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K -35,Self-emp-not-inc,193026,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -62,Self-emp-not-inc,271464,Masters,14,Separated,Farming-fishing,Not-in-family,White,Male,0,0,30,United-States,<=50K -40,Private,199689,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Federal-gov,190653,Assoc-voc,11,Married-civ-spouse,Armed-Forces,Husband,White,Male,0,0,40,?,>50K -40,Private,359389,Bachelors,13,Divorced,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -49,Self-emp-not-inc,181717,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,7,United-States,>50K -52,Private,245127,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Outlying-US(Guam-USVI-etc),<=50K -21,Private,274398,Assoc-voc,11,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -41,Self-emp-not-inc,344624,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -35,Private,169037,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,48,United-States,<=50K -22,Private,221406,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -71,Private,211707,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,4,United-States,<=50K -73,?,185939,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,227026,Bachelors,13,Never-married,Craft-repair,Unmarried,White,Female,0,0,40,Nicaragua,<=50K -38,Private,187847,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -19,Private,238144,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -29,Private,243660,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -26,Private,102476,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -56,Local-gov,238405,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,187479,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -40,Private,168294,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,?,129893,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,1579,30,United-States,<=50K -55,Private,172642,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,208066,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -39,Private,247558,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,41,United-States,<=50K -36,Private,99233,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -46,Private,430278,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,State-gov,204374,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,38,Poland,<=50K -30,Private,136832,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -54,Federal-gov,151135,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -17,Private,95875,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K -39,Private,360494,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,?,187581,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -53,Private,98659,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -45,Private,252242,Doctorate,16,Divorced,Sales,Not-in-family,White,Male,99999,0,55,United-States,>50K -24,Private,411238,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,199083,Masters,14,Divorced,Transport-moving,Not-in-family,White,Male,0,2258,50,United-States,>50K -38,Private,222573,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,245317,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,216414,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,50,United-States,>50K -32,Private,236396,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,311826,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,18,United-States,<=50K -38,Private,172538,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -38,Private,43712,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,<=50K -33,Private,272669,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Male,0,0,30,Hong,<=50K -50,Private,137299,Assoc-acdm,12,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -40,Private,171305,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,60,United-States,>50K -33,Local-gov,190027,HS-grad,9,Divorced,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -20,Private,376416,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -17,Local-gov,236831,12th,8,Never-married,Adm-clerical,Own-child,Black,Female,0,0,15,United-States,<=50K -27,Private,170148,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,28,United-States,<=50K -66,Private,366425,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,95864,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,England,>50K -71,Private,37435,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,3,United-States,<=50K -39,Self-emp-not-inc,151835,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,149419,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,55,United-States,<=50K -20,?,224238,Some-college,10,Never-married,?,Own-child,White,Male,0,0,6,United-States,<=50K -56,Private,359972,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,England,>50K -60,Private,23063,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,198282,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -46,Self-emp-inc,211020,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,Germany,>50K -42,Private,104196,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -56,Private,133819,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,328734,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,2238,40,United-States,<=50K -34,Self-emp-not-inc,41210,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -38,Private,225399,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -32,?,13862,HS-grad,9,Never-married,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,38,United-States,<=50K -32,Local-gov,43959,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -44,Private,83827,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -24,Private,157332,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,163706,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,70,United-States,>50K -43,Private,211517,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,1669,45,United-States,<=50K -69,?,92852,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,5,United-States,<=50K -39,Self-emp-not-inc,192626,HS-grad,9,Separated,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -55,Private,115439,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -27,Private,98769,Assoc-voc,11,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,>50K -29,Private,66473,Some-college,10,Never-married,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K -41,Self-emp-not-inc,138077,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,10,United-States,>50K -30,Local-gov,339388,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,72,United-States,>50K -28,Private,195520,Assoc-voc,11,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,Ireland,<=50K -68,Private,204680,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,37,United-States,<=50K -55,Private,184948,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,356231,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,2129,65,United-States,<=50K -55,Private,204334,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,55,England,>50K -60,Self-emp-inc,96660,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,8,United-States,>50K -44,Private,184871,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,298950,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,238802,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,?,242670,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K -47,Private,183186,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -18,Private,34125,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -23,Private,158996,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,<=50K -35,Local-gov,203883,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -61,Self-emp-inc,248160,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -54,Private,548361,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,98,United-States,<=50K -21,Private,203914,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,19,United-States,<=50K -53,State-gov,91121,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Self-emp-not-inc,139397,10th,6,Separated,Exec-managerial,Unmarried,White,Female,0,0,15,Ecuador,<=50K -56,Private,208640,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -46,Private,183013,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -36,Private,161141,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,343333,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,80,United-States,>50K -35,State-gov,210866,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,359854,Bachelors,13,Never-married,Priv-house-serv,Other-relative,White,Female,0,0,35,Mexico,<=50K -49,Self-emp-inc,235646,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,47,United-States,<=50K -60,Self-emp-not-inc,157588,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,99,United-States,<=50K -55,Private,200734,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,?,<=50K -21,Private,212213,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -38,Private,248941,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -41,Local-gov,291831,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -43,State-gov,114191,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -54,Self-emp-inc,151580,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -46,Private,331498,Doctorate,16,Never-married,Other-service,Own-child,White,Male,0,0,40,?,<=50K -20,Private,139989,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -35,Private,187167,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -24,Private,299528,Some-college,10,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,50,Taiwan,<=50K -41,Private,226608,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -36,Private,306361,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,213416,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,10,Mexico,<=50K -23,Private,85139,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,48779,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -71,Self-emp-inc,146365,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,24,United-States,<=50K -36,Private,355856,5th-6th,3,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,China,<=50K -51,Private,39264,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -30,Private,117028,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -40,Private,266631,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Haiti,<=50K -26,Private,152263,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,45,United-States,<=50K -49,Private,387074,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,245211,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2002,43,United-States,<=50K -48,Private,136455,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,16,United-States,<=50K -53,State-gov,153486,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -31,Private,105479,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -40,Private,409902,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -21,?,133515,Assoc-acdm,12,Never-married,?,Own-child,White,Female,594,0,40,United-States,<=50K -38,Private,89202,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,?,185692,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,84,United-States,<=50K -34,Private,157024,10th,6,Never-married,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -53,Private,230936,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -21,Private,57298,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -26,Private,82488,Masters,14,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K -29,Private,606111,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,235182,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -22,Private,150336,Some-college,10,Divorced,Tech-support,Other-relative,White,Female,0,0,40,United-States,<=50K -43,Federal-gov,145175,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,42,United-States,>50K -39,Private,186719,Some-college,10,Separated,Craft-repair,Unmarried,White,Female,0,0,25,United-States,<=50K -38,Local-gov,325538,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -67,Private,192995,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -31,Private,103596,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -30,Private,207172,11th,7,Never-married,Protective-serv,Not-in-family,White,Female,0,0,35,United-States,<=50K -53,Self-emp-not-inc,237729,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,3411,0,65,United-States,<=50K -44,Private,121718,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,48,United-States,>50K -43,Private,196344,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -22,Private,100235,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,161153,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -44,Private,303619,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -88,Self-emp-not-inc,141646,7th-8th,4,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,5,United-States,<=50K -21,Private,293726,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -31,Private,190772,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,1590,35,?,<=50K -35,Local-gov,91124,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,318912,Bachelors,13,Never-married,Other-service,Own-child,Black,Male,0,0,55,United-States,<=50K -48,Private,355978,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -68,?,81468,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,16,United-States,<=50K -64,Private,183672,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -49,Private,140826,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,99999,0,50,?,>50K -44,Private,146659,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -18,Private,294720,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K -34,Private,284629,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -29,Local-gov,128091,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,153643,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Male,0,0,40,United-States,<=50K -36,Self-emp-inc,173968,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -29,?,168479,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,303177,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,Mexico,<=50K -27,Self-emp-not-inc,189030,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Local-gov,261584,Some-college,10,Separated,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -24,Private,131230,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,138852,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,<=50K -18,Private,137532,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -25,Private,67222,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -28,Private,278736,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -87,Private,143574,HS-grad,9,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,16,United-States,<=50K -54,Private,283725,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,131404,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,25,United-States,<=50K -43,Private,185015,5th-6th,3,Married-spouse-absent,Priv-house-serv,Other-relative,White,Female,0,0,40,El-Salvador,<=50K -43,Federal-gov,47902,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,3908,0,40,United-States,<=50K -38,Private,272017,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,224559,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,35,United-States,<=50K -65,Private,138247,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,22,United-States,<=50K -39,Private,365465,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -60,Self-emp-not-inc,69887,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -30,Private,203488,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -39,Private,57691,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,7298,0,40,United-States,>50K -35,Private,193815,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,48,United-States,>50K -31,Self-emp-not-inc,37284,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,317434,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,198613,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,126060,Prof-school,15,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K -31,Private,187560,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -77,?,331863,Some-college,10,Separated,?,Not-in-family,White,Male,0,0,2,United-States,<=50K -40,State-gov,52498,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -58,Federal-gov,256466,Masters,14,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,7688,0,40,China,>50K -37,Local-gov,215618,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,80,United-States,>50K -39,Private,150057,10th,6,Separated,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,213714,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,173095,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,4,United-States,<=50K -36,?,143774,HS-grad,9,Divorced,?,Other-relative,White,Female,0,0,40,United-States,<=50K -30,Private,277488,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -39,Private,240468,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K -43,Private,197609,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -25,Private,72294,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -42,Private,219155,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -38,Private,130277,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,1726,40,United-States,<=50K -67,Private,100718,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,United-States,<=50K -57,Private,151474,HS-grad,9,Divorced,Handlers-cleaners,Other-relative,White,Female,0,0,40,United-States,<=50K -21,Private,209955,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -35,Private,23892,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -40,Private,206927,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -35,Private,60135,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -74,?,95630,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -19,Private,229516,7th-8th,4,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,127740,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,99,United-States,<=50K -39,State-gov,252662,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,2824,50,United-States,>50K -17,?,171080,12th,8,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -47,?,118358,HS-grad,9,Never-married,?,Other-relative,White,Female,0,0,50,?,<=50K -32,Private,160594,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1564,50,United-States,>50K -32,Local-gov,393376,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,0,0,48,United-States,<=50K -51,Federal-gov,321494,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,?,289517,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,35,United-States,<=50K -38,Private,331395,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,38,United-States,<=50K -19,?,199609,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -52,Private,178596,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -21,Private,198996,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K -33,Private,222654,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -18,Private,293510,12th,8,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,20,United-States,<=50K -32,Self-emp-not-inc,176185,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,Japan,>50K -28,Private,370509,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K -45,Private,167381,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,32,United-States,<=50K -21,Private,300445,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -24,Private,339602,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Private,329222,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,1740,40,Laos,<=50K -54,Self-emp-not-inc,183668,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K -28,Private,30014,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,?,120820,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -23,Private,33021,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,State-gov,295662,Bachelors,13,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,183168,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,148738,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,>50K -35,Private,214738,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -20,Private,196758,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -35,Federal-gov,105527,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Private,221495,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,211938,10th,6,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,209320,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,32,United-States,<=50K -33,Private,298785,9th,5,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -37,Private,459192,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,44,United-States,<=50K -37,Private,342642,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -25,Self-emp-not-inc,46015,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -17,Private,219199,10th,6,Never-married,Other-service,Own-child,Black,Male,0,0,15,United-States,<=50K -49,Self-emp-not-inc,285858,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -66,Private,592029,HS-grad,9,Widowed,Sales,Not-in-family,Black,Female,0,0,24,United-States,<=50K -24,Private,132247,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,24,United-States,<=50K -50,Private,330543,Preschool,1,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -56,Private,176613,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -68,Private,174895,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -65,Private,200408,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -67,Private,219687,Some-college,10,Widowed,Sales,Not-in-family,White,Male,0,0,18,United-States,<=50K -17,Private,174466,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,18,United-States,<=50K -27,Private,339921,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,38,Mexico,<=50K -47,Local-gov,330080,11th,7,Married-spouse-absent,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -40,Private,151504,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -39,State-gov,275300,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -36,Private,178322,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -49,State-gov,209482,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -59,Private,157831,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,16,United-States,<=50K -46,Private,224314,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Female,0,0,20,United-States,<=50K -71,?,144461,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,3456,0,16,United-States,<=50K -42,Self-emp-not-inc,114580,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,70,United-States,<=50K -46,Self-emp-inc,321764,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -41,Private,197907,HS-grad,9,Never-married,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K -20,State-gov,199884,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -30,Private,332975,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K -29,Private,37599,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,36,United-States,<=50K -28,Private,52199,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -61,Self-emp-not-inc,45795,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,36,United-States,<=50K -30,Private,154120,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K -27,Private,217530,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,El-Salvador,<=50K -58,Self-emp-not-inc,426263,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,32,United-States,<=50K -37,Private,406664,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Mexico,<=50K -24,Private,269799,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,127738,9th,5,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,330724,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,16,?,<=50K -47,Private,138999,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,48,United-States,>50K -33,Private,152744,Some-college,10,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -26,Private,155459,Bachelors,13,Never-married,Protective-serv,Other-relative,White,Male,0,0,45,United-States,<=50K -43,Private,222596,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -29,Private,209173,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,513977,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,<=50K -45,Private,186410,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -44,Private,230684,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,136986,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,State-gov,647591,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -25,Private,264300,Assoc-voc,11,Never-married,Prof-specialty,Own-child,White,Female,0,0,36,United-States,<=50K -59,Private,95967,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,?,<=50K -33,Private,187802,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1887,40,United-States,>50K -45,Self-emp-inc,270079,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -58,Private,141379,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K -18,Private,176653,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,26,United-States,<=50K -35,Private,176900,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Private,200217,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,Private,188331,11th,7,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,158363,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,247422,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -45,Private,247120,HS-grad,9,Married-civ-spouse,Transport-moving,Other-relative,White,Female,0,0,50,?,<=50K -20,Local-gov,37932,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Self-emp-not-inc,32280,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,197286,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K -55,Private,228595,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,81534,11th,7,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,35,United-States,<=50K -17,Private,165457,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -28,Private,209109,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -31,Private,141817,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -66,?,249043,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -61,Self-emp-not-inc,185640,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,>50K -19,Private,400195,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -28,Private,267912,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,370032,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -34,Private,191957,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -53,Private,361405,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -54,Private,103580,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,116632,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -34,Private,185480,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -41,Private,94113,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,60,United-States,>50K -26,Self-emp-not-inc,75654,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Greece,<=50K -38,Private,104727,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,302406,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -63,Private,116993,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -51,Private,274528,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -53,Federal-gov,218382,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,>50K -35,Federal-gov,170425,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -49,Self-emp-inc,148437,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -43,Private,24264,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -50,State-gov,78923,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,40,United-States,>50K -49,Self-emp-inc,106169,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Local-gov,211860,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -49,Private,250821,Prof-school,15,Never-married,Farming-fishing,Other-relative,White,Male,0,0,48,United-States,<=50K -29,Private,202558,Assoc-voc,11,Married-civ-spouse,Tech-support,Other-relative,White,Female,0,0,40,United-States,<=50K -30,Private,96480,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,32,United-States,<=50K -32,Private,215912,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K -51,Self-emp-inc,182211,Some-college,10,Divorced,Sales,Own-child,White,Female,0,0,70,United-States,<=50K -33,Federal-gov,206392,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,150057,Bachelors,13,Divorced,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -38,Self-emp-inc,105044,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,168195,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,42,United-States,<=50K -18,Federal-gov,54377,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K -69,Self-emp-not-inc,118174,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,20051,0,15,United-States,>50K -54,Private,229375,Some-college,10,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Federal-gov,109414,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,1977,40,Philippines,>50K -40,Private,158275,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,625,40,United-States,<=50K -40,Private,32185,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,44,United-States,<=50K -20,Private,228452,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -36,Private,170174,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,56,United-States,>50K -39,Private,162370,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -18,Private,260253,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,252392,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,99897,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -22,?,52596,Some-college,10,Never-married,?,Own-child,White,Male,0,0,15,?,>50K -38,Private,48093,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,275244,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,35,United-States,<=50K -41,Private,173316,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,162164,Some-college,10,Never-married,Priv-house-serv,Own-child,White,Female,0,0,45,United-States,<=50K -62,Private,166425,11th,7,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -31,Private,203463,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,99999,0,40,United-States,>50K -35,Private,77792,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -58,Self-emp-inc,120384,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -20,Private,257470,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -38,Private,171482,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,50,United-States,<=50K -29,Private,162298,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -21,Private,170273,Some-college,10,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -27,Private,384774,7th-8th,4,Divorced,Tech-support,Not-in-family,White,Female,0,0,50,United-States,<=50K -48,State-gov,120131,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,159442,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,37,Ireland,>50K -33,Private,303942,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,33436,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,42,United-States,<=50K -45,Private,193407,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Female,0,0,44,United-States,<=50K -22,Private,51985,Some-college,10,Never-married,Other-service,Own-child,White,Male,1055,0,15,United-States,<=50K -31,Local-gov,127651,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,152246,Some-college,10,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Male,0,0,40,Outlying-US(Guam-USVI-etc),<=50K -59,Private,124137,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,2202,0,40,United-States,<=50K -18,?,209735,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -18,Private,241552,11th,7,Never-married,Other-service,Own-child,White,Female,0,1719,20,United-States,<=50K -42,Private,174295,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,99,United-States,<=50K -42,Self-emp-not-inc,165815,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,52,United-States,>50K -26,Local-gov,566066,Bachelors,13,Never-married,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K -18,?,269373,12th,8,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -20,Private,143604,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -18,Local-gov,294605,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,12,United-States,<=50K -44,Private,122381,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -76,Local-gov,104443,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,1668,40,United-States,<=50K -34,Private,208116,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,25,United-States,<=50K -60,Self-emp-inc,328011,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -19,Private,375079,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -35,Private,210945,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,38,United-States,>50K -26,Private,169100,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,30126,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K -29,Private,165737,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,1,Japan,<=50K -24,Private,200295,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -39,Private,553588,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,40,United-States,>50K -58,Local-gov,164970,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -40,Private,199031,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -29,Private,187750,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -44,Self-emp-not-inc,89413,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,188171,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -52,Self-emp-inc,392502,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -40,Federal-gov,73883,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -59,Self-emp-inc,76860,5th-6th,3,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,99999,0,40,China,>50K -19,Private,376683,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,35,United-States,<=50K -23,Private,189013,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,37,United-States,<=50K -32,Private,190385,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -34,Private,154874,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,175032,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,42,United-States,<=50K -68,Self-emp-not-inc,338432,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -64,Private,30725,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -33,Local-gov,319280,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -64,Private,280957,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -42,Private,256813,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -60,Private,276213,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,161496,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -33,Private,399531,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -74,Self-emp-not-inc,168951,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,14,United-States,<=50K -38,Self-emp-not-inc,108140,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -43,Private,358677,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -36,Local-gov,127424,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,50,?,>50K -45,Self-emp-not-inc,163559,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,48,?,<=50K -45,Self-emp-not-inc,390746,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -28,Private,187981,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,187715,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,46,United-States,>50K -25,Private,192449,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -42,State-gov,381581,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,State-gov,211049,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K -43,Private,214242,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Poland,<=50K -35,Private,190759,11th,7,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,209301,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -56,Self-emp-not-inc,118614,Masters,14,Separated,Sales,Unmarried,White,Female,0,0,36,United-States,<=50K -22,Private,124971,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K -29,Private,198704,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Local-gov,32587,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,50,United-States,>50K -51,Local-gov,227261,Some-college,10,Divorced,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Private,250988,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -42,State-gov,147206,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -21,Private,25265,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,18,United-States,<=50K -54,Local-gov,188446,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,206017,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -36,Local-gov,287821,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -62,Federal-gov,223163,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -52,Private,38973,10th,6,Widowed,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -45,Private,370274,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -64,Private,271559,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,30,Columbia,<=50K -66,Private,171331,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -53,Private,201127,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,64874,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -37,Private,202683,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,35,United-States,<=50K -17,Self-emp-not-inc,103851,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,4,United-States,<=50K -34,Private,196266,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -28,Private,303601,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,43150,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,?,193889,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,?,<=50K -28,Private,177036,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K -32,Self-emp-not-inc,135304,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3942,0,32,United-States,<=50K -17,Private,25982,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -51,State-gov,103063,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,40,United-States,>50K -41,Private,328239,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Private,142724,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,<=50K -31,Private,198452,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,18,United-States,<=50K -28,Private,285897,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,34568,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -44,Self-emp-not-inc,136986,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -31,Self-emp-not-inc,404062,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,Portugal,>50K -39,Private,80479,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K -30,Private,433325,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -56,Self-emp-not-inc,368797,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -41,Private,157473,Masters,14,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,50,United-States,>50K -24,Private,193130,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -33,Private,91667,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -36,Private,153078,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,15024,0,40,Hong,>50K -31,Private,179673,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -39,Private,236648,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1848,42,United-States,>50K -41,Private,77357,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -19,Private,267796,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -57,Private,335276,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -35,Private,189102,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -34,Self-emp-not-inc,203051,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K -38,Private,167440,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,186087,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -25,Private,334267,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,45,United-States,<=50K -49,Private,172246,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -34,Local-gov,117963,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -22,?,374116,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,36,United-States,<=50K -60,Private,304074,Some-college,10,Widowed,Transport-moving,Not-in-family,White,Male,0,0,28,United-States,<=50K -35,Private,212195,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,35,United-States,>50K -42,Self-emp-not-inc,52781,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -61,Local-gov,176671,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,<=50K -24,Private,175778,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,340126,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -64,Private,237581,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,Mexico,>50K -47,Local-gov,246891,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,0,0,45,United-States,>50K -23,Private,181659,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K -34,Private,209900,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,15,United-States,<=50K -47,Private,151826,10th,6,Divorced,Tech-support,Unmarried,Black,Female,0,0,38,United-States,<=50K -43,Self-emp-inc,210013,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -47,Self-emp-inc,120131,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -57,Private,366421,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Mexico,<=50K -19,Private,137578,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K -36,Private,89625,10th,6,Separated,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -72,Self-emp-not-inc,298945,Bachelors,13,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,>50K -34,Local-gov,108247,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -31,Private,103642,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -25,?,181528,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,25,United-States,<=50K -23,Private,131699,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,14,United-States,<=50K -18,Private,154089,11th,7,Never-married,Sales,Unmarried,White,Male,0,0,20,United-States,<=50K -41,Private,247081,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -45,Private,276839,Some-college,10,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,166115,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -27,Private,192936,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K -50,Private,247425,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -41,Self-emp-not-inc,198196,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -20,Private,260254,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -60,Private,176360,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -21,?,214731,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,107564,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,24,United-States,<=50K -32,Private,29312,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,190610,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -40,Private,296858,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5178,0,40,United-States,>50K -42,Private,294431,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -34,Private,259818,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -37,Local-gov,161111,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,10,United-States,<=50K -42,?,85995,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,52,United-States,<=50K -18,Private,108501,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,25,United-States,<=50K -27,Private,135296,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Federal-gov,491607,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,32,United-States,<=50K -61,Self-emp-not-inc,170278,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,Philippines,<=50K -41,Private,309932,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Local-gov,117310,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,21,United-States,>50K -46,Private,234289,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -45,Federal-gov,199925,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,White,Male,0,0,48,United-States,<=50K -70,Local-gov,31540,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -46,Private,202606,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,0,0,30,Haiti,<=50K -20,Private,239577,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,110013,Masters,14,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Local-gov,230054,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,203558,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -51,Self-emp-not-inc,222883,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,55,United-States,<=50K -39,Private,61518,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -45,Private,246891,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -51,Private,194995,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -52,Private,207025,HS-grad,9,Divorced,Priv-house-serv,Unmarried,Black,Female,0,0,24,United-States,<=50K -39,Self-emp-inc,128715,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -30,Private,180168,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K -44,Self-emp-not-inc,270495,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,50,United-States,<=50K -44,Private,191196,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -28,State-gov,624572,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -43,Private,488706,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,Mexico,<=50K -43,Self-emp-not-inc,52131,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K -38,Private,134635,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -41,Private,197033,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -36,Private,112576,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,134737,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,<=50K -45,Private,154237,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,Private,103200,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Taiwan,<=50K -25,Private,179599,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,38,United-States,<=50K -57,?,274900,7th-8th,4,Married-civ-spouse,?,Other-relative,White,Male,0,0,45,Dominican-Republic,<=50K -21,Private,138580,12th,8,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -43,Local-gov,187034,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,263568,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,594,0,35,United-States,<=50K -21,Private,142332,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,25,United-States,<=50K -40,Private,174090,Assoc-voc,11,Never-married,Sales,Unmarried,White,Female,4687,0,50,United-States,>50K -38,Federal-gov,103323,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,55,United-States,>50K -24,Private,108670,Assoc-voc,11,Never-married,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -18,?,326640,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -54,Private,99185,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -29,Private,365328,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -19,Federal-gov,53220,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,1602,20,United-States,<=50K -22,Private,369084,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -48,Federal-gov,55377,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,55,Jamaica,>50K -64,Private,271094,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -27,Private,165014,Some-college,10,Married-civ-spouse,Sales,Own-child,Other,Female,0,0,11,Mexico,<=50K -40,Local-gov,284086,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -47,Federal-gov,186256,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -19,Private,84250,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,22,United-States,<=50K -39,Private,189404,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -34,Private,152667,12th,8,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K -36,Private,239755,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -44,Private,271756,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -23,Private,332657,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -36,Private,141029,HS-grad,9,Separated,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,41281,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,65,United-States,<=50K -41,Federal-gov,27444,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -20,Private,267945,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -30,Private,177675,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -20,Private,135716,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,44,United-States,<=50K -40,Private,91355,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,53292,Assoc-acdm,12,Widowed,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K -51,Private,256466,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,50,Philippines,<=50K -40,Private,126701,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,13550,0,50,United-States,>50K -25,Private,64671,1st-4th,2,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -50,Without-pay,123004,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Own-child,White,Female,0,1887,40,United-States,>50K -26,Private,167350,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -62,State-gov,160062,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,<=50K -34,Private,35683,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,146565,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -37,Self-emp-not-inc,168166,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,117779,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,2977,0,65,United-States,<=50K -58,Local-gov,310085,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -26,Private,262413,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,Italy,<=50K -56,Private,152874,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,1741,40,United-States,<=50K -29,Private,35314,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -37,Private,32719,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -37,Private,224566,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,190290,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,1602,40,United-States,<=50K -26,Private,331806,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,37,United-States,<=50K -45,Self-emp-inc,328610,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -20,Private,221533,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,350169,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,38,Japan,<=50K -29,Private,125131,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,>50K -71,?,158437,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,40,Hungary,<=50K -37,Private,180714,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,48,United-States,<=50K -40,Private,284086,9th,5,Divorced,Transport-moving,Not-in-family,White,Male,0,0,30,United-States,<=50K -33,Private,119422,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -22,?,327060,HS-grad,9,Never-married,?,Unmarried,Black,Male,0,0,8,United-States,<=50K -32,Private,171813,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -39,Local-gov,20308,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -17,?,45037,10th,6,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -53,Private,139157,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,228931,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -60,Private,220729,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -43,Self-emp-not-inc,147230,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -29,Private,79586,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,65,United-States,<=50K -40,Self-emp-inc,279914,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,40,United-States,>50K -62,Private,142769,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,226525,10th,6,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,178759,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -49,Private,106705,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,36,United-States,<=50K -57,Private,194161,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,42,Italy,>50K -37,Private,225385,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -66,Self-emp-not-inc,331960,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -50,Private,156877,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K -24,Private,271354,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,33117,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -38,Private,212437,Assoc-acdm,12,Never-married,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -37,Private,121228,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,1726,50,United-States,<=50K -62,Self-emp-not-inc,142139,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -54,Private,165001,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -56,Local-gov,294623,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -24,Local-gov,244413,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,35,Dominican-Republic,<=50K -29,Private,146014,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -53,Self-emp-not-inc,197014,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -56,Self-emp-not-inc,169528,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -60,?,162397,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,<=50K -38,Self-emp-not-inc,154641,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -52,Private,251585,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -28,Private,46322,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,38,United-States,<=50K -46,Local-gov,197042,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K -43,Private,111829,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Local-gov,229005,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -64,Private,298546,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -43,Federal-gov,111483,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K -64,Private,104973,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -40,Private,383300,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,135162,1st-4th,2,Married-spouse-absent,Adm-clerical,Not-in-family,White,Male,0,0,40,?,<=50K -36,Private,87520,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -19,Private,183258,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,206546,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K -55,Private,199212,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,5178,0,40,United-States,>50K -41,Local-gov,207685,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,61,United-States,>50K -36,Private,213277,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,129980,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -28,Private,118089,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,45,United-States,>50K -34,Self-emp-not-inc,236391,11th,7,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K -49,Private,209057,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -47,Private,98044,Preschool,1,Never-married,Other-service,Not-in-family,White,Male,0,0,25,El-Salvador,<=50K -21,Private,154192,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,48268,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,158762,10th,6,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K -22,Private,87569,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,1762,40,United-States,<=50K -33,?,274800,HS-grad,9,Separated,?,Own-child,Black,Female,0,0,40,United-States,<=50K -42,Local-gov,230684,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1579,40,United-States,<=50K -52,Private,155496,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -37,Private,22494,Some-college,10,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,41,United-States,<=50K -42,Private,200610,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,60,United-States,<=50K -48,State-gov,54985,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,207807,10th,6,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,30,United-States,<=50K -18,Private,294263,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,9,United-States,<=50K -23,Private,204226,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -90,Local-gov,188242,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,11678,0,40,United-States,>50K -47,Private,20956,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -40,Private,55567,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -23,State-gov,251325,Some-college,10,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,8,?,<=50K -33,Self-emp-not-inc,75417,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,8,United-States,<=50K -36,Local-gov,185556,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -38,Private,96732,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,Mexico,<=50K -31,Private,323985,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -52,Federal-gov,198186,10th,6,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -21,Private,147884,Some-college,10,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -35,Private,285000,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -54,Private,91882,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K -37,Private,196434,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -52,Private,191968,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,222756,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,7430,0,40,United-States,>50K -34,Private,66384,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K -46,Private,165937,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -56,Private,243076,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,193026,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K -39,State-gov,126894,Doctorate,16,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,30,United-States,<=50K -24,Private,214399,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,55,United-States,<=50K -70,?,98979,Some-college,10,Married-civ-spouse,?,Husband,Black,Male,0,0,20,United-States,>50K -29,Private,191177,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,18,United-States,<=50K -27,Private,420351,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -53,Private,159849,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -36,Private,128392,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,4787,0,40,United-States,>50K -27,Private,130492,11th,7,Divorced,Craft-repair,Unmarried,Other,Male,0,0,35,United-States,<=50K -48,Private,59380,Some-college,10,Never-married,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K -59,Local-gov,130532,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -29,Private,535740,HS-grad,9,Never-married,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -21,Private,186452,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -29,Private,276418,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,2051,32,United-States,<=50K -19,?,383715,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -32,Private,418617,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,55,El-Salvador,<=50K -23,Private,607118,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,36,United-States,<=50K -42,Self-emp-inc,230592,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -68,Local-gov,212932,10th,6,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,20,United-States,<=50K -51,Self-emp-not-inc,321865,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,99,United-States,<=50K -36,Private,240755,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K -25,Private,167571,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -70,Self-emp-not-inc,165586,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -29,Self-emp-not-inc,132267,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,<=50K -53,Private,308082,Preschool,1,Never-married,Other-service,Not-in-family,White,Female,0,0,15,El-Salvador,<=50K -31,Self-emp-not-inc,402812,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,45,United-States,>50K -25,Local-gov,136357,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,117549,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,35,United-States,<=50K -41,Private,482677,10th,6,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K -72,Self-emp-not-inc,112658,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,2653,0,42,United-States,<=50K -34,Private,120461,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,83444,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,55,United-States,>50K -34,Private,93699,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K -45,Private,174794,Some-college,10,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,29,United-States,<=50K -22,Private,157332,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -20,Private,420973,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -30,Private,176471,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K -31,Private,113708,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -21,State-gov,82497,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -32,Private,169512,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,>50K -44,Private,157765,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,277946,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,?,195808,11th,7,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K -50,Private,57852,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -46,Private,99699,Bachelors,13,Separated,Prof-specialty,Not-in-family,Black,Female,0,1876,40,United-States,<=50K -32,Private,296466,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -44,Self-emp-inc,248476,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -43,Private,409902,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,96,United-States,<=50K -19,?,187161,HS-grad,9,Married-civ-spouse,?,Own-child,White,Female,0,0,20,United-States,<=50K -36,Local-gov,220237,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1977,40,United-States,>50K -21,Private,303187,Some-college,10,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -38,Private,285890,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,55,United-States,>50K -38,Self-emp-inc,63322,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -56,Self-emp-not-inc,159937,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,30,United-States,>50K -28,Private,208725,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -41,Private,325159,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -56,Private,89698,HS-grad,9,Widowed,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -32,Private,399088,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -35,Private,134922,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,50,United-States,<=50K -22,Private,245866,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,406328,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,50,United-States,>50K -72,Self-emp-not-inc,203523,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,10,United-States,<=50K -30,Private,272432,HS-grad,9,Never-married,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -30,State-gov,182271,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,193746,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -49,Self-emp-not-inc,203505,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -41,Private,118484,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,391591,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Private,30069,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,50,United-States,<=50K -38,Private,179731,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,52,United-States,<=50K -34,Private,128016,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,2202,0,40,United-States,<=50K -38,Private,139473,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -26,State-gov,130302,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,250630,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Local-gov,115222,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,10520,0,40,United-States,>50K -19,Private,198700,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,20,United-States,<=50K -23,Private,394191,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -78,Private,163140,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,12,United-States,<=50K -26,Private,243786,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -42,State-gov,248406,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -20,?,33860,Some-college,10,Never-married,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,28,United-States,<=50K -45,Private,138342,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,84,United-States,<=50K -41,Private,115254,Some-college,10,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -55,Private,173504,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,>50K -17,Private,89259,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -30,State-gov,152940,Masters,14,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -27,Private,58124,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -40,Private,201908,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -39,Private,156780,HS-grad,9,Married-spouse-absent,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,?,<=50K -26,Private,152924,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -31,Private,115963,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,375313,Some-college,10,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,45,Philippines,<=50K -46,Local-gov,126754,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -35,State-gov,223725,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,<=50K -38,Private,298871,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -25,Local-gov,306352,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,40,Mexico,>50K -45,Private,166879,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,?,125040,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -27,Self-emp-not-inc,198493,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -44,Private,86298,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -40,Private,249039,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,217200,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,145139,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -24,Local-gov,146343,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,102976,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -50,Local-gov,24013,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -54,Private,162745,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -55,Private,128045,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,245937,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,<=50K -34,Private,426431,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -41,Private,409902,10th,6,Separated,Other-service,Unmarried,Black,Female,0,0,33,United-States,<=50K -43,Private,580591,1st-4th,2,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,28,Mexico,<=50K -76,Self-emp-not-inc,130585,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,12,United-States,<=50K -24,Private,201145,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K -51,Private,196107,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -55,Private,178353,9th,5,Divorced,Machine-op-inspct,Not-in-family,White,Male,10520,0,60,United-States,>50K -23,Private,195508,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -23,Private,224716,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K -18,?,280901,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -43,Private,169076,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -39,Private,141584,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -57,Self-emp-not-inc,253267,5th-6th,3,Separated,Other-service,Unmarried,White,Female,0,0,35,Cuba,<=50K -27,Private,203776,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -54,Local-gov,449172,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -37,Private,174329,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -44,Private,91674,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -62,Private,202958,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,205680,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -29,Private,193932,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,177635,12th,8,Married-spouse-absent,Transport-moving,Unmarried,White,Male,0,0,40,Mexico,<=50K -65,?,180422,Assoc-acdm,12,Never-married,?,Not-in-family,White,Male,6723,0,38,United-States,<=50K -18,Private,231335,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,141058,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -20,Federal-gov,114365,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -23,Local-gov,212856,Assoc-acdm,12,Never-married,Protective-serv,Own-child,Black,Female,0,0,35,United-States,<=50K -23,Private,64292,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Self-emp-not-inc,96609,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,?,438427,Assoc-acdm,12,Separated,?,Unmarried,Black,Female,0,0,55,United-States,<=50K -62,?,144026,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -21,Private,105997,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,20,United-States,<=50K -47,Local-gov,154430,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -19,Private,162954,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -21,Private,94826,5th-6th,3,Never-married,Craft-repair,Own-child,White,Male,0,0,40,Guatemala,<=50K -27,Private,54897,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,135020,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K -40,Self-emp-not-inc,367819,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K -22,Private,225531,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,2205,40,United-States,<=50K -49,Private,165937,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,131230,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,30,United-States,<=50K -38,Private,95647,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K -66,Private,115880,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,10605,0,40,United-States,>50K -37,Private,262278,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,Black,Male,15024,0,45,United-States,>50K -38,Private,126755,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -47,Local-gov,150211,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -47,Private,188694,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K -53,Self-emp-inc,59840,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -36,Private,144752,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,48,United-States,<=50K -63,Private,192042,HS-grad,9,Married-civ-spouse,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K -46,Private,230806,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,364946,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -40,Private,133986,10th,6,Separated,Transport-moving,Unmarried,White,Female,0,0,70,United-States,<=50K -21,?,201418,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -31,Private,236543,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -45,Private,238386,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -50,Local-gov,96062,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,>50K -41,Private,202565,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -46,Private,194063,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -62,Self-emp-not-inc,243733,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,70,United-States,>50K -20,Private,403519,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,1719,33,United-States,<=50K -48,State-gov,104353,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,Black,Female,0,0,40,United-States,>50K -23,Private,239539,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -36,Private,104089,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -33,Local-gov,93585,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,139277,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Female,0,0,40,Italy,<=50K -22,Private,124971,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -50,Private,82566,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -22,Private,145964,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -32,Federal-gov,177855,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -18,Private,263656,11th,7,Never-married,Sales,Own-child,Black,Male,0,0,25,United-States,<=50K -40,Private,199191,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,England,>50K -39,Private,212840,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -56,Private,191330,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -50,Self-emp-inc,193720,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,Greece,>50K -39,Self-emp-inc,172927,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -33,Private,51185,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,186145,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Self-emp-not-inc,181307,Doctorate,16,Separated,Prof-specialty,Not-in-family,White,Male,0,1408,40,United-States,<=50K -20,Private,180052,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,22,United-States,<=50K -24,?,61791,9th,5,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -44,Self-emp-not-inc,52505,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K -36,Private,48976,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -37,Private,281012,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,Asian-Pac-Islander,Female,0,0,40,China,>50K -33,Private,156464,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -71,Local-gov,94358,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,6,United-States,<=50K -44,Federal-gov,296858,Masters,14,Married-civ-spouse,Armed-Forces,Husband,White,Male,0,0,40,United-States,>50K -46,Private,84790,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -43,Private,177054,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -38,Local-gov,131239,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -30,Federal-gov,49398,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -44,Private,27242,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Philippines,<=50K -41,Local-gov,113324,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,295591,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Mexico,<=50K -61,Private,48549,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,38,United-States,>50K -45,Local-gov,384627,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,2580,0,18,United-States,<=50K -25,Private,266062,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,65,United-States,<=50K -26,State-gov,208117,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,38,United-States,<=50K -23,Private,315476,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K -35,Private,20308,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Private,169204,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,319831,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -32,Private,80356,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,313473,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -31,Private,209529,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -24,Private,214956,11th,7,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -31,Private,557853,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,32,United-States,<=50K -49,Private,78529,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -37,Private,446390,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,>50K -43,Local-gov,256253,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -31,Private,61898,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -34,Private,181152,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,35,United-States,<=50K -34,Private,90409,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -35,Self-emp-inc,237713,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -29,Private,176727,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K -26,Private,285367,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Male,4416,0,28,United-States,<=50K -36,Private,135293,Masters,14,Separated,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -39,?,105044,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,7298,0,40,United-States,>50K -48,State-gov,98010,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,16,United-States,>50K -56,Private,162301,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -65,Self-emp-inc,103824,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,115677,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -48,Local-gov,319079,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -64,Private,134912,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,12,United-States,<=50K -31,Private,35985,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,245317,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,35743,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -54,Private,231004,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K -51,Private,237295,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,43311,5th-6th,3,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,El-Salvador,<=50K -18,Private,154583,11th,7,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K -64,Private,278515,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -26,Private,266062,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -36,Self-emp-not-inc,172425,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,>50K -46,Self-emp-not-inc,102388,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -48,Private,195554,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K -32,Private,265368,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,44,United-States,>50K -19,Private,100669,Assoc-voc,11,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K -45,Private,233511,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -42,Self-emp-inc,223566,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,15,United-States,<=50K -22,Private,95552,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,159676,HS-grad,9,Divorced,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K -19,?,80978,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -48,Private,70584,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,153475,11th,7,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,104489,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -54,Private,146325,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -39,Self-emp-not-inc,246900,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -35,Private,187589,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,65535,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -50,Private,38540,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,191389,5th-6th,3,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Italy,<=50K -19,Private,231492,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,60,United-States,<=50K -32,Private,130007,10th,6,Divorced,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -64,Self-emp-inc,487751,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,52240,Some-college,10,Never-married,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K -65,Self-emp-not-inc,172906,Assoc-acdm,12,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -47,Private,158685,12th,8,Divorced,Other-service,Not-in-family,White,Female,0,0,48,United-States,<=50K -33,Private,307693,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,30,United-States,<=50K -40,Private,202922,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -61,Local-gov,119563,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -30,Private,161444,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,<=50K -27,Private,82242,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Male,0,0,45,Germany,<=50K -68,Private,357233,HS-grad,9,Widowed,Handlers-cleaners,Other-relative,White,Female,0,0,10,United-States,<=50K -31,Private,177596,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Puerto-Rico,<=50K -27,Private,209085,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,45,United-States,<=50K -35,Private,241306,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -32,Private,19447,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -48,Private,195104,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -22,Private,109456,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,32,United-States,<=50K -68,Private,34887,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,6,United-States,<=50K -55,Private,202435,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,191821,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K -49,Self-emp-not-inc,228372,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,60,United-States,>50K -37,Private,78374,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,38,Japan,<=50K -58,Private,129786,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,410439,HS-grad,9,Divorced,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -35,Self-emp-inc,152307,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,40,United-States,<=50K -42,Private,33895,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,178390,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -63,Private,114011,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,157839,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -30,Federal-gov,97355,Some-college,10,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,369781,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,15024,0,45,United-States,>50K -22,Private,225515,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -21,Private,138513,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,25,United-States,<=50K -72,Self-emp-not-inc,138248,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -28,Self-emp-not-inc,149141,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -36,Federal-gov,233955,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -40,Federal-gov,150533,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1977,40,United-States,>50K -53,Private,233369,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -22,Private,188779,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,16,United-States,<=50K -53,Private,287927,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,60,England,<=50K -20,?,96483,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,8,United-States,<=50K -39,Private,165215,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,15,Poland,<=50K -32,Private,107142,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,50,United-States,<=50K -48,Private,82008,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,116044,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Private,160101,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,55,United-States,<=50K -41,Private,356934,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -36,Private,204527,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,1506,0,40,United-States,<=50K -36,Private,276276,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,110408,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -37,Private,187022,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,117528,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,180439,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,33,United-States,<=50K -47,Private,185870,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -21,Private,290504,Some-college,10,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -49,Private,162264,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -38,Private,253716,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,State-gov,190525,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Private,283227,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,375221,11th,7,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,35,United-States,<=50K -30,Private,194971,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,52,China,<=50K -30,Private,198091,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K -30,Private,224462,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,198751,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -27,Private,221166,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -54,Local-gov,277777,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,3103,0,40,United-States,>50K -32,Local-gov,247156,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,3103,0,38,United-States,>50K -23,Private,61777,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,2580,0,40,United-States,<=50K -62,Private,67928,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -20,Private,204596,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,32,United-States,<=50K -23,Private,27881,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,66,United-States,<=50K -48,Private,332884,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Private,178551,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,26,United-States,<=50K -22,Private,215917,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -56,Private,284701,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -63,Private,286990,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -73,Private,366204,7th-8th,4,Widowed,Priv-house-serv,Unmarried,Black,Female,1264,0,10,United-States,<=50K -22,Private,163519,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -51,Private,123780,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,108140,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -31,Federal-gov,469263,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Male,0,0,50,United-States,<=50K -52,Private,216558,Some-college,10,Separated,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -46,Private,149218,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -32,Private,113453,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,24,United-States,>50K -46,Private,23545,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,409443,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,25,Mexico,<=50K -29,Local-gov,152744,Masters,14,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,1506,0,40,United-States,<=50K -33,Private,166543,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -23,Private,224217,11th,7,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -41,State-gov,244522,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Male,0,0,55,United-States,<=50K -50,Private,148121,Some-college,10,Widowed,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -69,Private,295425,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,24,United-States,<=50K -30,Self-emp-not-inc,255424,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -21,Private,97214,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -29,Local-gov,158703,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -43,?,478972,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K -44,Private,180383,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,159123,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -51,Private,231230,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,134232,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -23,Private,90729,11th,7,Never-married,Machine-op-inspct,Unmarried,Other,Male,0,0,40,United-States,<=50K -36,Private,275338,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -23,Private,410446,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,120475,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -39,Federal-gov,127048,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -60,State-gov,113544,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -34,Self-emp-inc,233727,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -62,Self-emp-not-inc,210064,Some-college,10,Widowed,Prof-specialty,Unmarried,White,Male,0,0,20,United-States,<=50K -53,Private,77462,Some-college,10,Separated,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -25,Private,108001,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -36,Private,379522,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,40,United-States,>50K -29,State-gov,51461,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -31,Private,147270,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -44,Private,118212,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,189792,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -58,Private,225623,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -38,Private,248445,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -39,Private,218490,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K -22,?,379883,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -38,Self-emp-inc,312232,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -47,Private,234470,Assoc-acdm,12,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -19,Private,389942,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,79483,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -39,Private,389279,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Self-emp-not-inc,107581,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,176458,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -19,Private,70505,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -51,Local-gov,259646,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Private,235743,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Male,0,0,45,United-States,<=50K -35,Private,177449,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,52,United-States,>50K -28,Private,103432,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,45,Portugal,>50K -47,Private,347088,5th-6th,3,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Self-emp-not-inc,275924,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,Mexico,>50K -34,Private,162113,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,48,United-States,>50K -17,Private,147497,5th-6th,3,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -33,Self-emp-not-inc,37232,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,10520,0,80,United-States,>50K -33,Private,441949,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K -30,Private,285855,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,103123,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -46,Private,207076,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,<=50K -38,Self-emp-not-inc,36270,HS-grad,9,Married-spouse-absent,Farming-fishing,Unmarried,White,Male,0,0,60,United-States,<=50K -43,Private,206927,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -32,Private,236415,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,108035,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,225395,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,24,United-States,<=50K -28,State-gov,140239,HS-grad,9,Separated,Other-service,Own-child,White,Female,0,0,11,United-States,<=50K -36,Private,338033,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -55,Private,314164,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -56,Private,337065,7th-8th,4,Divorced,Farming-fishing,Other-relative,White,Male,0,0,40,United-States,<=50K -33,State-gov,340899,Doctorate,16,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -49,Private,102096,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3781,0,40,United-States,<=50K -47,Private,31141,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -62,Private,312818,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,1,United-States,>50K -42,Local-gov,270147,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,97279,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -31,Private,247328,5th-6th,3,Never-married,Transport-moving,Not-in-family,White,Male,0,0,30,El-Salvador,<=50K -48,Self-emp-not-inc,31267,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,3411,0,70,United-States,<=50K -32,Private,220066,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Self-emp-not-inc,159269,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,53,Yugoslavia,<=50K -47,Private,155107,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -24,Local-gov,354351,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -18,Private,129053,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,28,United-States,<=50K -58,Private,255822,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,192323,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -31,Private,176244,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K -23,Private,223019,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -32,Private,243243,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,77,United-States,<=50K -22,State-gov,194630,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K -51,Self-emp-inc,98980,HS-grad,9,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,99,United-States,>50K -39,Private,223792,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,72,United-States,<=50K -31,Private,415706,10th,6,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Local-gov,68781,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -68,Self-emp-inc,113718,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,1258,40,United-States,<=50K -37,Local-gov,152587,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,State-gov,120268,Some-college,10,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,0,50,United-States,>50K -37,Private,52870,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -55,Local-gov,193895,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -32,Private,239662,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,1579,36,United-States,<=50K -51,Local-gov,201040,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Mexico,>50K -36,State-gov,25806,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -46,Private,130667,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -55,Private,141807,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -51,State-gov,108037,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Local-gov,129311,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,149218,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K -42,Private,337276,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -48,Local-gov,24366,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -61,?,149855,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,2057,70,United-States,<=50K -35,Self-emp-inc,49020,Assoc-acdm,12,Never-married,Farming-fishing,Own-child,White,Male,0,0,35,United-States,<=50K -36,Private,165007,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,83413,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,103331,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,15024,0,44,United-States,>50K -56,Private,142689,11th,7,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -36,Private,398575,Some-college,10,Never-married,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,166301,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,53703,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,274907,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -34,Private,226525,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,36440,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,81965,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -52,Private,111192,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -20,Private,214238,11th,7,Never-married,Sales,Other-relative,White,Female,0,0,32,Mexico,<=50K -43,Private,115932,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -33,Private,173730,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -63,Private,123157,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -67,Private,220283,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -24,Private,155066,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,244246,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,Poland,<=50K -37,Private,112264,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,200450,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -66,?,128609,HS-grad,9,Divorced,?,Not-in-family,Black,Male,0,0,40,United-States,>50K -57,Private,340591,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -36,Local-gov,43712,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -41,Private,316820,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -48,Private,44142,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -24,Private,311311,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,65,United-States,<=50K -66,?,143417,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,<=50K -29,Private,264166,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,Mexico,<=50K -44,Private,112656,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K -45,Private,123844,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,60,United-States,<=50K -27,Private,146760,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -36,Private,225516,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -36,Private,114366,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -32,State-gov,199227,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,<=50K -18,Private,299347,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -39,Private,74194,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,1721,45,United-States,<=50K -25,Private,244408,HS-grad,9,Married-civ-spouse,Exec-managerial,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -26,Private,198289,12th,8,Never-married,Farming-fishing,Other-relative,White,Male,0,0,40,Puerto-Rico,<=50K -63,State-gov,89451,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -50,Local-gov,149433,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -47,Private,236999,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -17,Private,34943,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -46,Self-emp-inc,40666,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,15024,0,40,United-States,>50K -34,Private,329170,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,6849,0,70,United-States,<=50K -26,Private,122999,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -48,Local-gov,118972,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,205068,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K -40,Private,195124,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Columbia,<=50K -21,Private,143184,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -55,?,90290,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,175232,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -41,Private,319366,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,Haiti,>50K -34,Private,61559,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -47,Private,247869,Some-college,10,Separated,Transport-moving,Unmarried,White,Male,0,0,50,United-States,>50K -39,Private,204158,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5178,0,60,United-States,>50K -36,Private,239755,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,198210,HS-grad,9,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -46,Local-gov,190961,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -77,Private,171193,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Female,0,1668,30,United-States,<=50K -27,Private,110073,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,England,>50K -19,Private,163885,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -38,Private,99783,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,White,Female,0,1902,40,United-States,<=50K -18,Private,430930,11th,7,Never-married,Priv-house-serv,Own-child,White,Female,0,0,6,United-States,<=50K -54,Private,200450,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,35,United-States,<=50K -33,Private,226296,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,1672,50,United-States,<=50K -45,Self-emp-inc,214690,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,181008,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,England,>50K -26,Local-gov,345779,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,43,United-States,<=50K -26,Private,58350,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -41,Private,164647,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -21,Private,142809,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,105803,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -26,Private,195067,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,289964,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -26,Private,194813,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-inc,303211,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,37932,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K -73,Self-emp-not-inc,268832,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -33,Private,63925,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,35,United-States,<=50K -25,Private,189897,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,635913,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -25,?,296228,Some-college,10,Never-married,?,Unmarried,Other,Female,0,0,42,United-States,<=50K -42,Self-emp-not-inc,138162,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -54,Self-emp-not-inc,164757,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,16,United-States,<=50K -33,Private,236013,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,>50K -79,Private,149912,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,85384,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -52,Self-emp-not-inc,30008,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -23,State-gov,209744,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K -25,Private,161027,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -54,Private,131662,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,Germany,<=50K -47,Private,115971,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -21,Private,88373,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,16,United-States,<=50K -45,Federal-gov,211399,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -22,Local-gov,273989,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,124614,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,263439,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -56,Self-emp-not-inc,19896,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,60,United-States,>50K -31,Private,229732,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,50,United-States,<=50K -59,?,169611,Some-college,10,Married-civ-spouse,?,Wife,White,Female,7298,0,12,United-States,>50K -36,Private,220237,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,Greece,>50K -46,Self-emp-not-inc,130779,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,United-States,>50K -24,Private,152540,Bachelors,13,Divorced,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Private,168330,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,40,United-States,<=50K -29,Private,485944,Bachelors,13,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K -34,Private,199539,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -26,Private,210521,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K -19,Private,244175,11th,7,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K -42,Private,223763,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -56,Self-emp-not-inc,183580,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,?,<=50K -42,Private,63596,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -35,Private,108540,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,40,United-States,<=50K -43,Self-emp-not-inc,116632,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,1887,45,United-States,>50K -17,Private,175414,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -38,Federal-gov,290624,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,557805,Assoc-voc,11,Never-married,Sales,Other-relative,White,Female,0,0,40,El-Salvador,<=50K -20,Private,19410,HS-grad,9,Never-married,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -48,Private,206357,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,44,United-States,<=50K -38,Private,216385,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,1740,40,Haiti,<=50K -46,Private,120131,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,40,United-States,>50K -72,Private,131699,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,6,United-States,<=50K -30,Self-emp-not-inc,157778,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -31,Private,302679,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,133292,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -83,Self-emp-not-inc,243567,11th,7,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,20,United-States,<=50K -61,Private,72442,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Self-emp-not-inc,43909,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K -23,Private,108307,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -20,Local-gov,87467,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,18,United-States,<=50K -42,State-gov,99185,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -27,Federal-gov,37274,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -44,Self-emp-not-inc,342434,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -62,Self-emp-not-inc,234372,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -66,Self-emp-inc,107627,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -22,?,377725,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,23,United-States,<=50K -32,Private,30271,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -30,Private,368570,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,316820,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -56,State-gov,176538,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -64,Private,265786,5th-6th,3,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -31,Private,82393,Some-college,10,Married-civ-spouse,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,30,Philippines,<=50K -46,Private,318259,Some-college,10,Separated,Tech-support,Unmarried,White,Female,0,0,55,United-States,<=50K -45,Private,157980,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K -41,Private,173981,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -52,Federal-gov,165050,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,>50K -19,Private,303652,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -34,Private,393376,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -57,Self-emp-inc,121912,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -30,Private,351770,9th,5,Divorced,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K -39,Self-emp-not-inc,198841,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,Canada,>50K -41,Local-gov,139160,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -21,?,214810,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -31,Private,137385,Some-college,10,Never-married,Tech-support,Not-in-family,Black,Female,0,0,50,United-States,<=50K -39,Private,86643,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,27828,0,55,United-States,>50K -20,Private,200089,11th,7,Never-married,Farming-fishing,Other-relative,White,Male,0,0,36,El-Salvador,<=50K -26,Private,219199,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -36,Private,142711,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -29,Private,626493,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,177125,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -28,State-gov,181776,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1876,70,United-States,<=50K -36,Private,257250,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -42,Private,444134,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -18,?,24688,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Local-gov,33731,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -27,Private,209443,Bachelors,13,Married-AF-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -39,Private,140854,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,60,United-States,>50K -50,Private,330142,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,44,United-States,<=50K -26,Private,29488,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -52,Private,279129,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -32,Private,177940,Assoc-acdm,12,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,48,United-States,<=50K -19,Private,391403,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -36,Private,334365,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -28,Private,171356,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,55,United-States,<=50K -45,Private,71145,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,45,United-States,>50K -25,Private,36943,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -42,Private,285787,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,433580,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,50197,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -59,State-gov,139611,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1977,40,India,>50K -31,Private,187802,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,241431,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,121775,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,136758,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,10,United-States,<=50K -22,Private,493034,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -20,Private,132139,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -50,Self-emp-not-inc,100109,11th,7,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,?,<=50K -23,Private,198861,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,1669,40,United-States,<=50K -19,Private,273226,11th,7,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,323054,HS-grad,9,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K -22,Private,284895,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -21,Private,191324,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -53,Private,92565,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -46,Private,234690,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Cuba,>50K -20,Private,258509,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -42,State-gov,178897,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,1151,0,40,United-States,<=50K -65,Private,220788,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -55,Private,376548,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,228592,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,18,United-States,<=50K -33,Local-gov,177216,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -33,?,211743,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,21,United-States,<=50K -21,Private,23813,10th,6,Divorced,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -47,Private,195688,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -26,Private,124953,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,?,<=50K -34,Private,129775,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,339644,HS-grad,9,Married-spouse-absent,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -61,Private,149648,11th,7,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -79,Private,187492,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,7,United-States,<=50K -18,Private,336523,12th,8,Never-married,Other-service,Other-relative,Black,Male,0,0,20,United-States,<=50K -39,State-gov,222530,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Female,0,1590,40,United-States,<=50K -49,Self-emp-inc,140644,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,5013,0,45,United-States,<=50K -31,Private,265201,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Germany,<=50K -47,Private,135246,11th,7,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -36,Private,89202,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -25,Private,296394,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Male,0,0,45,United-States,<=50K -50,Local-gov,66544,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,65,United-States,<=50K -41,Self-emp-not-inc,165815,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,187722,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -38,Local-gov,187046,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -38,Private,397877,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -37,Private,258827,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -19,Private,119529,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -22,Private,97212,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -19,Private,47235,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,75,United-States,<=50K -56,Private,359972,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,97212,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K -52,Local-gov,72036,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,25,United-States,<=50K -35,Private,174938,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,201404,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,56,United-States,<=50K -23,Private,234791,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K -33,State-gov,85632,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -17,Private,147411,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -36,Private,127388,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -21,Private,116657,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -19,?,194608,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K -28,Private,108706,11th,7,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,20,United-States,<=50K -19,Private,158343,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -51,Private,914061,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -38,Private,190174,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K -19,Private,456736,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -46,Self-emp-inc,167882,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,8614,0,70,United-States,>50K -42,Self-emp-inc,557349,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -19,Private,310483,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -29,Private,78261,HS-grad,9,Separated,Protective-serv,Not-in-family,White,Male,0,0,55,United-States,<=50K -39,Private,172571,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -21,Private,230229,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -30,Private,183017,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,230329,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -47,Private,46537,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,409622,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K -46,Private,190482,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,State-gov,113588,HS-grad,9,Never-married,Tech-support,Own-child,White,Female,0,0,24,United-States,<=50K -46,Self-emp-not-inc,246891,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,99,United-States,>50K -50,Private,193081,Preschool,1,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,Haiti,<=50K -50,?,284477,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,141420,HS-grad,9,Married-civ-spouse,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,197325,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,443336,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -37,Private,66304,9th,5,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,16,United-States,<=50K -25,Private,180783,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,10,United-States,<=50K -38,Local-gov,218763,Masters,14,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Federal-gov,388252,Bachelors,13,Never-married,Tech-support,Own-child,Black,Male,0,0,40,United-States,<=50K -22,Private,55614,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -25,Private,307643,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,45,United-States,>50K -18,?,33241,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -25,Local-gov,58065,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,<=50K -65,State-gov,172348,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -72,Private,138790,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,United-States,<=50K -25,State-gov,117393,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,38,United-States,<=50K -22,Private,227220,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,241306,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -27,Private,189565,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Self-emp-inc,182714,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,113839,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,92531,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -24,Private,119629,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,37,United-States,<=50K -26,Private,322585,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,277347,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,221955,5th-6th,3,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K -38,Private,149347,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -75,Private,207116,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,174077,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,32,United-States,<=50K -50,Private,22418,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Self-emp-not-inc,255252,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -74,Private,159138,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,12,United-States,<=50K -38,Private,414991,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -43,Private,282678,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -53,Federal-gov,164195,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,4386,0,40,United-States,>50K -21,Private,143436,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,202046,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Canada,<=50K -21,?,202214,Some-college,10,Never-married,?,Own-child,White,Female,0,1721,40,United-States,<=50K -55,Private,236731,1st-4th,2,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Dominican-Republic,<=50K -23,Local-gov,307267,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,10,United-States,<=50K -49,Private,144514,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,155913,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -17,Private,206383,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,17,United-States,<=50K -25,Private,233994,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -33,Self-emp-not-inc,123291,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -34,Self-emp-not-inc,195602,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -20,Private,151888,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -52,Private,103995,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -31,Private,263796,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,111499,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,202222,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,230246,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,37778,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K -17,Private,144752,10th,6,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,20,United-States,<=50K -27,Private,220931,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K -38,Federal-gov,68840,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Private,205339,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,172837,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,52,United-States,>50K -41,State-gov,159131,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -30,Private,207284,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,350824,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -70,?,116080,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,>50K -39,Self-emp-not-inc,183081,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K -37,Self-emp-not-inc,177974,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,3942,0,99,United-States,<=50K -63,Private,192849,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,10,United-States,<=50K -18,Private,169882,11th,7,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,12,United-States,<=50K -21,Private,137320,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K -34,Private,251521,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -17,Private,329791,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -32,Private,261319,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -37,Local-gov,343052,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,53271,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Male,0,0,38,United-States,<=50K -20,Private,129024,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -29,Private,179768,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,144949,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -27,Private,150861,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -44,Local-gov,112763,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K -25,Private,116358,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -38,Self-emp-not-inc,331374,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K -52,Private,152811,10th,6,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -68,Local-gov,202699,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,6418,0,35,United-States,>50K -55,Private,92847,7th-8th,4,Widowed,Priv-house-serv,Unmarried,White,Female,0,0,30,United-States,<=50K -41,Private,137142,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -36,Private,953588,11th,7,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Local-gov,225544,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,<=50K -62,Private,116289,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -32,Private,279912,Some-college,10,Never-married,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K -57,Self-emp-not-inc,256630,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,60,Canada,>50K -42,Private,259727,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,25236,0,20,United-States,>50K -47,Private,331650,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -34,Private,182006,11th,7,Never-married,Adm-clerical,Not-in-family,White,Female,4416,0,30,United-States,<=50K -19,Private,277708,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -36,Private,64874,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,376455,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -57,Private,125000,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,Private,390369,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -51,Private,250423,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -48,Local-gov,27802,Masters,14,Separated,Prof-specialty,Not-in-family,White,Male,0,1876,50,United-States,<=50K -50,Private,137192,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,20,Philippines,<=50K -28,State-gov,200068,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Other,Female,0,0,40,United-States,<=50K -26,Private,220656,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -35,Private,199501,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,50,Jamaica,<=50K -26,Private,181613,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,United-States,<=50K -32,Private,329432,Masters,14,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,139180,11th,7,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -24,?,263612,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -73,?,402363,Masters,14,Married-civ-spouse,?,Wife,White,Female,0,0,16,United-States,>50K -25,Private,256545,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K -31,Private,246439,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,38,United-States,<=50K -20,Private,182615,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,131401,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,259138,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,2407,0,36,United-States,<=50K -43,Private,107503,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K -61,State-gov,205482,HS-grad,9,Married-spouse-absent,Transport-moving,Not-in-family,White,Female,0,0,60,United-States,<=50K -34,Private,184833,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,4650,0,50,United-States,<=50K -43,Private,395997,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -33,Private,158438,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -42,Self-emp-inc,190044,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,52,United-States,>50K -42,Self-emp-not-inc,184378,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,118983,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,30,United-States,<=50K -48,Private,99127,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -41,Local-gov,106982,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,52,United-States,<=50K -47,Private,213668,Some-college,10,Separated,Machine-op-inspct,Not-in-family,White,Male,8614,0,65,United-States,>50K -50,Local-gov,159689,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -57,Private,354923,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -21,Private,200207,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -28,Local-gov,98590,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -42,Private,221947,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -33,Private,160634,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -53,Local-gov,179237,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,97771,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -17,Private,237399,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -35,Private,276559,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,45,United-States,>50K -50,Private,178251,Masters,14,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -58,Private,145370,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,15024,0,50,United-States,>50K -21,Private,249271,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -66,Self-emp-not-inc,257562,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -59,Federal-gov,115842,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,341368,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,20,United-States,<=50K -20,?,172232,Some-college,10,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K -25,Private,67151,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -21,Private,228649,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -53,Private,164198,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -64,Local-gov,190228,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,>50K -19,Private,179707,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -59,Self-emp-inc,132559,Doctorate,16,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,55,United-States,>50K -36,Private,473547,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,30,United-States,<=50K -55,Self-emp-inc,284526,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Cuba,<=50K -20,Private,112854,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,32,United-States,<=50K -28,Private,271012,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -34,Private,298995,Some-college,10,Never-married,Tech-support,Not-in-family,Black,Female,0,0,50,United-States,<=50K -20,Never-worked,273905,HS-grad,9,Married-spouse-absent,?,Other-relative,White,Male,0,0,35,United-States,<=50K -41,Private,172712,Bachelors,13,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,>50K -33,Private,205249,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,55,?,<=50K -24,Private,375698,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Japan,<=50K -42,State-gov,355756,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,147951,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K -58,Private,156493,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,35,United-States,<=50K -34,Private,215857,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,Mexico,<=50K -22,Private,88824,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,242150,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -30,Private,295010,Some-college,10,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,>50K -67,Self-emp-not-inc,268781,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,>50K -46,Private,360593,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,4650,0,44,United-States,<=50K -35,Private,306678,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K -42,Self-emp-inc,377018,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,131230,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,?,457710,11th,7,Never-married,?,Own-child,White,Male,0,0,16,Mexico,<=50K -34,Self-emp-inc,229732,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -21,Private,159879,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -49,Private,204629,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -48,Private,46580,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,471768,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,32,United-States,<=50K -38,Private,117802,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K -28,Private,175537,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,37,United-States,<=50K -22,Private,247734,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,190885,7th-8th,4,Widowed,Other-service,Unmarried,White,Female,0,0,38,Mexico,<=50K -49,Private,117849,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -54,Self-emp-inc,103794,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,5721,0,35,United-States,<=50K -35,Self-emp-not-inc,222450,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -36,Private,558344,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,48,United-States,<=50K -18,Private,131825,11th,7,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,21,United-States,<=50K -45,Private,166181,HS-grad,9,Widowed,Priv-house-serv,Own-child,Black,Female,0,0,25,United-States,<=50K -22,Private,179392,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -47,Local-gov,232149,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K -23,Private,96748,Bachelors,13,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,177895,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,207066,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -53,Private,127749,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -23,Private,216129,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -67,?,401273,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,5,United-States,<=50K -51,Private,245356,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,55,United-States,>50K -52,Private,30846,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,216414,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,361390,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4064,0,40,Italy,<=50K -29,Private,255364,Some-college,10,Divorced,Other-service,Own-child,White,Male,594,0,24,United-States,<=50K -19,Private,197377,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K -66,Self-emp-not-inc,197816,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,17,United-States,>50K -38,Private,194140,Some-college,10,Separated,Machine-op-inspct,Unmarried,Black,Male,0,0,50,United-States,<=50K -67,?,110122,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,>50K -33,Private,102130,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -51,Federal-gov,85815,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -30,Private,176064,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,55,United-States,<=50K -43,Private,38946,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -29,Private,249463,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,175665,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -58,Private,111385,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,State-gov,165867,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -41,Private,347890,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Self-emp-inc,49249,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -50,Private,125417,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,65,United-States,>50K -73,Self-emp-not-inc,30958,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K -45,State-gov,191001,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,40,United-States,>50K -18,Self-emp-not-inc,68073,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -33,Private,233149,12th,8,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,204596,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -37,Private,109996,9th,5,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,40,Hong,<=50K -29,Private,251170,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,140001,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -61,State-gov,347445,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -27,Self-emp-not-inc,229126,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,30,United-States,<=50K -47,Private,235431,Preschool,1,Never-married,Sales,Unmarried,Black,Female,0,0,40,Haiti,<=50K -56,Private,209280,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,16,United-States,<=50K -26,Private,172013,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -30,Self-emp-inc,133876,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -60,Private,152727,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K -30,Private,139838,10th,6,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -28,Private,153885,Some-college,10,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,45,United-States,<=50K -64,Self-emp-not-inc,21174,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -32,Private,101266,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -32,Private,99548,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -31,Local-gov,220669,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,6849,0,40,United-States,<=50K -36,Private,91716,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -32,Self-emp-not-inc,112115,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,>50K -49,Private,220978,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -40,Private,121012,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,242804,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,192654,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K -45,Private,111706,1st-4th,2,Never-married,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -41,Private,174196,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -54,Private,312500,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,39623,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -36,Private,355468,10th,6,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,State-gov,62726,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Federal-gov,75867,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -60,?,76449,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,111567,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -58,Private,112945,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,191389,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,208584,Assoc-acdm,12,Separated,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K -49,Private,99340,5th-6th,3,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,Dominican-Republic,<=50K -54,Self-emp-not-inc,308087,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -64,Private,166843,HS-grad,9,Widowed,Other-service,Other-relative,White,Male,0,0,28,United-States,<=50K -62,?,122433,10th,6,Divorced,?,Unmarried,White,Male,0,0,35,United-States,<=50K -31,Private,103573,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K -28,Private,264735,Masters,14,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,50,India,<=50K -58,Self-emp-not-inc,281792,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -52,Private,184081,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,Jamaica,<=50K -22,Private,381741,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,98630,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -25,Private,161631,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,152591,Some-college,10,Divorced,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -69,Self-emp-not-inc,150080,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,278141,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -48,Self-emp-not-inc,229328,12th,8,Widowed,Sales,Unmarried,Asian-Pac-Islander,Female,0,0,40,South,<=50K -26,Private,278916,Some-college,10,Separated,Handlers-cleaners,Own-child,Black,Male,0,0,20,United-States,<=50K -43,Federal-gov,421871,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Male,6849,0,50,United-States,<=50K -35,Private,164193,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,189265,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,5,United-States,<=50K -52,Private,384959,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,36,United-States,>50K -62,Private,67320,HS-grad,9,Widowed,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K -50,Private,174655,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -30,Local-gov,327203,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,51148,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -19,Private,287380,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,27,United-States,<=50K -58,Private,131608,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -41,Private,122857,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,Asian-Pac-Islander,Female,0,0,40,?,<=50K -28,Private,259609,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -33,Private,104509,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,203435,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,148429,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -26,Private,106950,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -19,Private,87402,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,265638,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,60,United-States,<=50K -27,Private,430710,HS-grad,9,Separated,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -50,Federal-gov,193116,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -29,Private,94880,Some-college,10,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K -67,Private,186427,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -53,Private,348287,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -58,Private,77498,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -47,Private,199058,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -30,Private,156464,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,Germany,<=50K -40,Private,202508,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,48,?,>50K -45,Private,131309,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,32,United-States,<=50K -41,Private,99679,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,136309,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K -27,Private,294451,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,104719,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K -72,Self-emp-not-inc,207889,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,215890,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,341239,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -66,Self-emp-not-inc,58326,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,>50K -35,Private,176544,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,1741,50,United-States,<=50K -37,Private,216149,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -65,Private,274637,9th,5,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,16,United-States,<=50K -23,Private,163870,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,?,<=50K -52,?,287575,HS-grad,9,Separated,?,Unmarried,White,Male,0,0,40,United-States,<=50K -35,Private,268292,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K -43,Private,343061,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Cuba,<=50K -46,Local-gov,481258,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -17,Private,181129,10th,6,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K -18,?,153302,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,235891,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -33,Self-emp-not-inc,41210,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,75,United-States,<=50K -31,Local-gov,152109,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,United-States,<=50K -28,Private,114072,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -30,Private,83066,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,30,United-States,<=50K -18,Private,110230,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,5,United-States,<=50K -33,Self-emp-inc,137421,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,45,South,<=50K -46,Self-emp-inc,222829,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -50,State-gov,89652,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,<=50K -43,Self-emp-inc,375807,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,60,United-States,>50K -29,Private,184224,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,54639,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -47,Self-emp-inc,77764,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -28,Private,61523,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K -60,Self-emp-not-inc,54614,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -34,Private,188246,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,?,<=50K -25,Private,267594,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -19,Private,140499,HS-grad,9,Never-married,Protective-serv,Other-relative,White,Male,0,0,40,United-States,<=50K -35,Private,73471,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -41,Federal-gov,33487,Some-college,10,Divorced,Adm-clerical,Other-relative,Amer-Indian-Eskimo,Female,0,0,38,United-States,<=50K -23,?,201179,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -69,Self-emp-not-inc,165814,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -44,State-gov,46221,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -49,Self-emp-inc,172246,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,40,United-States,>50K -31,Federal-gov,148207,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,53,United-States,<=50K -36,Private,389725,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,Germany,>50K -33,Private,343519,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -35,Private,67317,Assoc-acdm,12,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -53,Self-emp-not-inc,257728,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -32,Private,264554,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -26,Private,224567,11th,7,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -40,Private,24038,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -35,Private,210945,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -52,Self-emp-not-inc,123727,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -32,?,78374,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,1,United-States,<=50K -18,Private,138266,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -58,Private,147098,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K -26,Private,211695,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,196480,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -39,Private,373699,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,189680,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,342458,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,161155,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,48,United-States,<=50K -48,Local-gov,116601,Masters,14,Divorced,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,50,Nicaragua,<=50K -67,Self-emp-inc,127605,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2174,40,United-States,>50K -22,Self-emp-not-inc,47541,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -62,Private,134779,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,4650,0,40,United-States,<=50K -42,Self-emp-not-inc,177937,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -53,Private,114758,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -64,Local-gov,287277,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,173113,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,169785,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,>50K -64,Self-emp-not-inc,280508,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,360077,11th,7,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,>50K -47,Private,165229,12th,8,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,282753,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -31,Private,308812,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -64,Private,132519,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,Black,Female,0,0,40,United-States,<=50K -38,Private,185053,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K -42,Local-gov,261899,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -46,Private,119939,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,276165,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,361280,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -33,Private,195770,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -52,Local-gov,289804,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K -21,Private,247115,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,60,United-States,<=50K -48,Federal-gov,50459,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -22,Private,260617,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K -20,Private,155066,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,60,United-States,<=50K -80,Private,227210,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,9386,0,40,United-States,>50K -47,Local-gov,47270,Assoc-acdm,12,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Private,111128,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,65,United-States,>50K -37,Private,119929,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -73,Private,157248,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -45,Private,174386,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,30,United-States,<=50K -34,Private,21755,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Amer-Indian-Eskimo,Male,0,0,63,United-States,<=50K -35,Private,261646,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,590204,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,40,United-States,>50K -36,Private,679853,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Dominican-Republic,<=50K -40,Private,144928,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,7298,0,40,United-States,>50K -26,?,88513,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,110663,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -52,Self-emp-not-inc,182187,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,Haiti,>50K -45,Private,160703,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K -39,Private,279323,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,131425,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,180288,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1977,60,United-States,>50K -43,Self-emp-inc,123490,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -20,Private,421474,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -38,Private,100079,Doctorate,16,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,27828,0,60,China,>50K -30,Private,95639,11th,7,Never-married,Handlers-cleaners,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -30,Private,169002,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -59,Self-emp-not-inc,49893,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,24,United-States,<=50K -30,Federal-gov,234994,Some-college,10,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -43,Self-emp-inc,137232,Bachelors,13,Married-spouse-absent,Sales,Unmarried,White,Female,0,0,42,United-States,<=50K -49,Self-emp-not-inc,27067,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -40,Private,193385,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,China,<=50K -34,Private,181372,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,23,United-States,<=50K -47,Private,189143,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Self-emp-not-inc,115422,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,40,United-States,<=50K -64,Self-emp-not-inc,163510,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,50,United-States,>50K -35,Private,241998,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -39,Private,106838,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,4386,0,45,United-States,>50K -90,?,50746,10th,6,Divorced,?,Not-in-family,White,Female,0,0,7,United-States,<=50K -30,Local-gov,325658,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -71,Private,244688,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,6514,0,40,United-States,>50K -29,Private,244721,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,170721,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -39,Private,105803,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,152810,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -50,Private,138944,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -50,Private,392668,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,40,United-States,<=50K -28,Private,192257,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Japan,<=50K -79,?,23275,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -70,Self-emp-inc,46577,Bachelors,13,Widowed,Farming-fishing,Unmarried,White,Female,0,0,6,United-States,<=50K -44,Private,174325,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -41,Local-gov,307767,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,192698,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,443809,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K -18,Private,218100,11th,7,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -37,Private,516701,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Male,0,1564,50,?,>50K -20,Private,123173,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,15,United-States,<=50K -33,Private,241697,Some-college,10,Married-spouse-absent,Sales,Unmarried,Amer-Indian-Eskimo,Male,0,1602,40,United-States,<=50K -53,Self-emp-inc,233149,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -56,Private,357939,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,73928,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K -54,State-gov,88528,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,37,United-States,<=50K -40,Private,245073,7th-8th,4,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -45,Private,148824,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -27,Private,106276,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -48,Private,185039,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,210310,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -27,Private,150767,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,48,United-States,<=50K -72,?,31327,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,>50K -27,Private,30237,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,45,United-States,<=50K -22,Private,264765,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,10,United-States,<=50K -29,Private,148069,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,?,41493,Bachelors,13,Divorced,?,Own-child,White,Female,0,0,40,United-States,<=50K -51,Self-emp-not-inc,168539,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K -54,?,108233,Assoc-acdm,12,Separated,?,Not-in-family,Black,Female,0,0,20,United-States,<=50K -25,State-gov,66692,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,122747,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -36,Self-emp-inc,176289,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Private,238017,HS-grad,9,Widowed,Tech-support,Not-in-family,Black,Female,0,0,54,United-States,<=50K -28,Private,41099,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,190151,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K -58,Private,109159,HS-grad,9,Widowed,Tech-support,Unmarried,White,Female,0,0,38,United-States,<=50K -37,Local-gov,176949,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,United-States,>50K -61,Private,293899,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -48,Private,168262,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,>50K -64,Private,208862,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,15,United-States,<=50K -50,Private,69477,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -34,Private,443546,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,Germany,<=50K -21,?,202989,Some-college,10,Never-married,?,Own-child,White,Male,0,0,80,United-States,<=50K -59,Self-emp-not-inc,49996,HS-grad,9,Widowed,Other-service,Not-in-family,Black,Female,0,0,20,United-States,<=50K -75,State-gov,220618,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,10,United-States,<=50K -30,Private,127875,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -26,Private,217517,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,2885,0,40,United-States,<=50K -20,Private,162151,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -53,Federal-gov,314871,Some-college,10,Separated,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -48,Local-gov,193960,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -33,Private,198103,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -47,State-gov,106466,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -51,Private,122109,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -54,Private,254152,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,249449,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -47,Private,184169,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -34,Self-emp-inc,156192,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -31,Self-emp-not-inc,175509,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Male,0,0,60,United-States,<=50K -42,Private,297266,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,90,United-States,>50K -24,Private,188073,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -18,?,221312,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K -79,Private,121552,7th-8th,4,Widowed,Other-service,Unmarried,Black,Male,0,0,5,United-States,<=50K -38,Private,177134,HS-grad,9,Married-civ-spouse,Sales,Wife,Black,Female,0,0,40,United-States,<=50K -67,Private,127921,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,9386,0,40,United-States,>50K -25,Private,210794,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -47,Private,149366,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Peru,<=50K -25,Private,214303,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,?,<=50K -24,?,205940,9th,5,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -24,?,43535,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,30,United-States,<=50K -47,Private,158924,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -46,Private,270437,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,266505,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,5013,0,38,United-States,<=50K -32,Private,37070,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Japan,<=50K -26,Federal-gov,56419,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,20,South,<=50K -52,Private,389270,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,36,United-States,<=50K -61,Private,205266,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -46,Federal-gov,104575,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Self-emp-not-inc,99220,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,178313,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -41,Local-gov,103614,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -47,Private,114882,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,186977,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Columbia,<=50K -22,Private,208893,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,10,United-States,<=50K -57,Self-emp-inc,84231,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,1977,50,United-States,>50K -20,Private,129240,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -64,Private,113061,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,243409,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -18,?,28132,12th,8,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,77975,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,?,241580,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,55,United-States,<=50K -40,Private,165599,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K -31,Private,85374,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,42,United-States,<=50K -32,Self-emp-not-inc,45604,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -42,Private,109501,5th-6th,3,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -22,?,289405,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,75759,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,3325,0,40,United-States,<=50K -27,Private,144808,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -21,?,231511,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -47,Private,155890,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -56,Self-emp-not-inc,108496,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,101562,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -29,Private,116372,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,>50K -17,Private,58037,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,339025,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,1579,40,Vietnam,<=50K -31,Private,117659,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -23,Private,372898,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -24,Private,199426,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -25,Private,36023,HS-grad,9,Married-spouse-absent,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K -64,?,186535,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,3103,0,3,United-States,<=50K -44,Private,57600,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,38,United-States,<=50K -48,Private,369522,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -35,Private,28572,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,215323,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,81846,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -68,Private,535762,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1844,10,United-States,<=50K -59,Private,239405,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,35,Jamaica,<=50K -43,Local-gov,43998,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -28,Private,408417,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K -50,Self-emp-not-inc,43705,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -45,Private,176841,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,El-Salvador,<=50K -17,Private,120676,11th,7,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K -44,Local-gov,207685,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,8614,0,33,United-States,>50K -26,Private,157708,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,126349,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,49,United-States,<=50K -40,Private,277647,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,>50K -45,Private,174426,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,<=50K -43,Self-emp-not-inc,37869,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K -28,Private,150025,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Peru,<=50K -54,Self-emp-not-inc,155496,Some-college,10,Never-married,Other-service,Unmarried,White,Female,2176,0,40,United-States,<=50K -43,Private,174748,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,7430,0,45,United-States,>50K -40,Self-emp-inc,140915,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Other,Male,0,0,40,France,>50K -19,Private,187161,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,18,United-States,<=50K -24,Private,181820,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,45,United-States,<=50K -20,Private,438321,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -55,Private,342121,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,54,United-States,<=50K -39,Private,135162,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -22,Private,289448,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,2205,30,Philippines,<=50K -44,Self-emp-not-inc,157237,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -30,Private,184542,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -74,Private,70234,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,26,United-States,<=50K -30,Private,170412,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,171184,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,Dominican-Republic,<=50K -56,?,141076,HS-grad,9,Divorced,?,Not-in-family,Black,Female,3674,0,40,United-States,<=50K -59,Private,168145,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,172594,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -21,Private,133582,5th-6th,3,Never-married,Farming-fishing,Not-in-family,White,Male,2176,0,36,Mexico,<=50K -51,Private,214840,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -20,?,301408,Some-college,10,Never-married,?,Own-child,White,Female,0,1602,30,United-States,<=50K -33,Private,97723,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,40,United-States,<=50K -51,Self-emp-not-inc,318351,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,Canada,>50K -20,Private,69911,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -59,Private,200316,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Local-gov,265426,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K -39,Private,66687,Some-college,10,Separated,Craft-repair,Unmarried,White,Male,0,0,45,United-States,<=50K -31,Private,107417,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,?,140782,HS-grad,9,Separated,?,Own-child,White,Female,0,0,36,United-States,<=50K -23,?,212210,Some-college,10,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -57,Private,144012,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -67,?,40021,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,228493,1st-4th,2,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,65,Mexico,<=50K -40,State-gov,114714,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K -17,Private,188758,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -34,Private,176862,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Local-gov,107793,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -47,Self-emp-not-inc,333052,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,5,United-States,<=50K -49,Private,175958,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,46,United-States,>50K -24,Private,125012,Bachelors,13,Married-spouse-absent,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K -28,Private,135296,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Local-gov,31171,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,1590,40,United-States,<=50K -31,Private,103860,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -40,Private,90582,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,216292,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -54,Local-gov,188588,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,2001,35,United-States,<=50K -27,?,173178,Some-college,10,Never-married,?,Not-in-family,Black,Male,0,0,36,United-States,<=50K -50,Self-emp-inc,193720,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,48,United-States,<=50K -35,Private,218542,9th,5,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -44,Private,138845,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -46,State-gov,86837,Some-college,10,Married-spouse-absent,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,50,Philippines,<=50K -22,State-gov,125010,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K -38,Private,50149,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -46,Private,241350,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,8614,0,50,United-States,>50K -81,Private,39895,7th-8th,4,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,2,United-States,<=50K -36,Self-emp-not-inc,258289,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -28,Self-emp-not-inc,183151,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -58,?,228614,7th-8th,4,Married-civ-spouse,?,Husband,Black,Male,0,0,35,United-States,<=50K -51,Private,192236,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3464,0,48,United-States,<=50K -37,?,161664,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,60,United-States,<=50K -45,Private,105381,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,235786,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,118947,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,>50K -35,Private,168817,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,24361,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,321223,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -66,Private,146810,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,24,United-States,<=50K -30,Local-gov,94041,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,3325,0,35,United-States,<=50K -40,Self-emp-not-inc,814850,9th,5,Divorced,Other-service,Not-in-family,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K -43,Private,331649,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -43,Private,209894,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K -44,Private,229954,Assoc-acdm,12,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -48,Private,287547,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,184018,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -25,Private,332409,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -33,Local-gov,113364,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -28,State-gov,134813,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,65,United-States,>50K -24,Private,273049,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K -29,Private,334277,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -51,State-gov,196395,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,60,United-States,>50K -47,Private,138069,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,358259,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -36,Private,362067,Assoc-voc,11,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -54,Private,209947,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,42,United-States,<=50K -23,Private,122244,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,116546,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,213934,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,42,United-States,<=50K -27,Local-gov,24988,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,1564,72,United-States,>50K -53,Private,157229,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,0,40,India,<=50K -30,Private,162442,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K -67,Federal-gov,231604,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K -24,Private,187031,Masters,14,Never-married,Sales,Unmarried,Black,Female,0,0,38,United-States,<=50K -33,Private,172714,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Self-emp-not-inc,198286,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Self-emp-not-inc,220001,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,262656,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,32,United-States,<=50K -27,Private,203776,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,193815,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -57,Local-gov,173242,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -43,Private,108126,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,1762,24,United-States,<=50K -62,Private,199021,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,54,United-States,<=50K -53,Private,92968,Assoc-acdm,12,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,173682,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Local-gov,277533,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -22,Private,90896,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -57,Self-emp-inc,212600,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K -52,Private,261671,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -66,Private,86321,HS-grad,9,Widowed,Transport-moving,Not-in-family,White,Male,0,0,22,United-States,<=50K -37,Self-emp-not-inc,119992,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K -33,Private,427812,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -34,Private,55849,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K -23,Private,271354,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,50,United-States,>50K -36,Private,131239,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -50,State-gov,139157,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K -39,State-gov,305541,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,55,United-States,<=50K -50,Private,151159,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,55,United-States,<=50K -23,Private,84726,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,45,Germany,<=50K -47,?,175530,5th-6th,3,Separated,?,Own-child,White,Female,0,0,56,Mexico,<=50K -39,Local-gov,364782,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -43,Private,137304,Bachelors,13,Married-civ-spouse,Tech-support,Wife,Black,Female,0,0,40,United-States,>50K -23,Private,197613,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Self-emp-inc,171615,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -57,Self-emp-not-inc,105824,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K -47,Local-gov,250745,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K -28,Private,352451,7th-8th,4,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -17,Private,123947,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -43,Private,178983,Masters,14,Separated,Sales,Unmarried,White,Female,6497,0,50,United-States,<=50K -47,Private,101299,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -53,Self-emp-inc,124993,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -26,Private,178478,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,67001,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,Private,97295,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -48,Local-gov,169515,Bachelors,13,Divorced,Protective-serv,Not-in-family,Black,Female,0,0,43,United-States,>50K -49,Private,121253,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,1564,40,United-States,>50K -52,Federal-gov,35546,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,111635,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,207419,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -31,Private,143083,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -42,Self-emp-not-inc,248094,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,170685,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,46,United-States,<=50K -46,Private,116143,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,223426,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,65,Canada,>50K -23,Private,370548,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,27,United-States,<=50K -43,Private,245525,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,<=50K -41,Private,408229,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,15,United-States,<=50K -29,Local-gov,181434,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -27,Private,213225,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7298,0,45,England,>50K -24,Private,199915,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -44,Local-gov,143104,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,38,United-States,>50K -31,Private,874728,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,40,United-States,<=50K -43,Private,27661,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Local-gov,216116,HS-grad,9,Divorced,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,>50K -43,Private,193882,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -50,Self-emp-not-inc,98180,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,99999,0,45,United-States,>50K -70,Self-emp-not-inc,92353,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -78,Self-emp-not-inc,184762,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,3471,0,50,United-States,<=50K -21,?,148294,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,128777,Some-college,10,Never-married,Sales,Other-relative,Black,Female,0,0,40,United-States,<=50K -73,Private,108098,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K -47,Private,233511,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,223792,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -61,Private,43904,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -45,Private,239864,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,159075,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,103474,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -21,Private,90896,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,145290,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -23,Private,155818,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -28,Self-emp-not-inc,35864,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Other,Male,0,0,70,Iran,>50K -18,Private,394954,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,State-gov,34637,9th,5,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2002,40,United-States,<=50K -34,Private,38223,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,352105,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -53,Private,291096,1st-4th,2,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -63,Self-emp-not-inc,144391,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -62,Private,44013,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,134890,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,497525,10th,6,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -28,Private,195520,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K -44,Self-emp-not-inc,35166,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,75,United-States,<=50K -26,Private,180514,Bachelors,13,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -32,Private,262153,11th,7,Married-spouse-absent,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -39,Local-gov,91039,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -70,?,30140,9th,5,Never-married,?,Unmarried,White,Male,0,0,40,United-States,<=50K -27,Private,125791,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Female,0,0,15,United-States,<=50K -31,Private,337505,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K -61,Private,258775,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,4386,0,40,United-States,>50K -32,Private,153152,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,2051,38,United-States,<=50K -21,?,120998,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -24,Self-emp-not-inc,434102,11th,7,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,3,United-States,<=50K -39,Private,342768,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -29,Private,160786,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,46,United-States,<=50K -52,Private,279440,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K -26,Self-emp-not-inc,67240,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,35,United-States,<=50K -30,Private,196963,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Female,0,0,15,United-States,<=50K -70,Private,115239,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,United-States,<=50K -29,Private,133937,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -32,Private,31714,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,4865,0,40,United-States,<=50K -32,Private,347623,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,174848,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -75,Self-emp-not-inc,106873,11th,7,Widowed,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,49687,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,1980,40,United-States,<=50K -39,Private,256294,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -66,State-gov,33155,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -46,Private,131939,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Local-gov,95256,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,42,United-States,>50K -32,Private,198901,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,177287,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -44,Private,144925,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,3325,0,40,United-States,<=50K -42,Private,188243,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -34,Self-emp-not-inc,198068,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,116960,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -22,Private,172496,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Poland,<=50K -21,?,399449,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -33,Private,251990,HS-grad,9,Separated,Adm-clerical,Not-in-family,Other,Male,0,0,37,United-States,<=50K -54,Federal-gov,28683,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,4386,0,41,United-States,>50K -36,Private,109133,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -36,Private,24504,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,201495,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -49,Private,187634,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,>50K -40,Private,77391,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,36601,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,>50K -31,Self-emp-not-inc,197193,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,27,United-States,<=50K -81,Self-emp-not-inc,184762,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,25,Greece,<=50K -40,Private,200671,HS-grad,9,Divorced,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -47,Private,186539,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,10,United-States,<=50K -39,Private,199816,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -42,Private,171351,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,119793,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,>50K -40,Local-gov,38876,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K -28,Private,145242,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,4386,0,20,United-States,>50K -19,?,292774,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -32,State-gov,217251,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,<=50K -35,Private,195253,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -35,?,139854,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -52,State-gov,145072,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,108085,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -23,Private,72055,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -76,Private,82628,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K -41,Self-emp-not-inc,49156,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -46,Private,187666,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,<=50K -49,Self-emp-not-inc,225456,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -60,Federal-gov,286253,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -65,?,168548,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,190384,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K -46,Federal-gov,362835,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Germany,>50K -50,Private,243322,HS-grad,9,Married-spouse-absent,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -39,Private,49105,Assoc-voc,11,Separated,Adm-clerical,Own-child,White,Female,594,0,40,United-States,<=50K -20,Private,72520,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -38,Private,200352,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -56,Private,146660,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,10,United-States,<=50K -30,Self-emp-not-inc,247328,Assoc-voc,11,Separated,Sales,Not-in-family,White,Male,0,0,40,Mexico,<=50K -41,Private,304605,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,>50K -29,Private,309778,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,248476,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K -28,Private,129624,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,Cambodia,<=50K -30,Private,97723,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K -19,Private,143404,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,United-States,<=50K -56,Private,127264,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,34,United-States,<=50K -28,Private,179191,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -23,Private,230824,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -34,Private,410615,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -43,Private,224998,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1977,40,United-States,>50K -60,Self-emp-not-inc,54553,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -43,Local-gov,225165,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -60,Self-emp-inc,75257,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,<=50K -42,Private,33155,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,85,United-States,<=50K -32,Local-gov,450141,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,1408,40,United-States,<=50K -31,Private,441949,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,Mexico,>50K -25,Private,131341,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,36,Cuba,<=50K -25,Private,227548,12th,8,Married-civ-spouse,Other-service,Husband,Black,Male,3103,0,40,United-States,<=50K -41,Self-emp-inc,38876,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1977,50,United-States,>50K -26,Private,143756,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Local-gov,308275,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,7688,0,65,United-States,>50K -35,Private,173586,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -21,Private,196074,9th,5,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -39,Federal-gov,178877,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -22,Private,285580,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K -66,Self-emp-not-inc,219220,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,2290,0,40,Germany,<=50K -32,Federal-gov,228696,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,Mexico,<=50K -39,Private,185405,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-inc,240124,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -26,?,96130,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,England,<=50K -31,Private,329172,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,147280,11th,7,Never-married,Other-service,Own-child,Other,Male,0,0,40,United-States,<=50K -34,Private,197252,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -43,State-gov,118544,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -56,Private,183169,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -34,Private,205810,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,Black,Female,0,1672,40,United-States,<=50K -23,Private,132556,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,438429,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,104293,Assoc-acdm,12,Never-married,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,506830,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -42,Private,56072,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -51,Local-gov,164300,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K -34,Private,274577,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -60,Self-emp-not-inc,36568,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -41,Private,223548,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,Mexico,<=50K -27,Local-gov,478277,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K -46,Private,254672,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,2354,0,40,United-States,<=50K -22,Private,171538,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -17,?,220302,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,87135,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -46,Self-emp-not-inc,138626,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Private,179069,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -24,Private,88824,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,159623,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K -67,?,350525,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,>50K -53,Self-emp-not-inc,276369,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K -25,Private,96862,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,65,United-States,<=50K -18,Private,245486,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -64,Local-gov,209899,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,35,United-States,<=50K -45,Private,306122,Bachelors,13,Never-married,Other-service,Not-in-family,Black,Female,0,0,44,United-States,>50K -32,Private,240763,11th,7,Divorced,Transport-moving,Own-child,Black,Male,0,0,45,United-States,<=50K -30,Private,323069,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -35,Private,179579,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -46,?,162034,Some-college,10,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,291181,HS-grad,9,Never-married,Sales,Other-relative,White,Female,0,0,28,Mexico,<=50K -31,Private,356823,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,10520,0,40,United-States,>50K -39,Private,312271,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,182714,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,184569,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,45,United-States,<=50K -55,Private,129762,HS-grad,9,Divorced,Other-service,Other-relative,White,Female,0,0,40,Scotland,<=50K -23,Private,216867,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,155489,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K -42,Private,256179,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,48,United-States,>50K -65,Private,51063,10th,6,Divorced,Other-service,Not-in-family,Black,Male,0,0,64,United-States,<=50K -37,State-gov,164898,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -28,Private,202206,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,Puerto-Rico,<=50K -48,Private,115358,7th-8th,4,Married-civ-spouse,Priv-house-serv,Wife,Black,Female,0,0,15,United-States,<=50K -43,Local-gov,343068,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,65,United-States,<=50K -44,Private,152908,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -58,Local-gov,217802,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,7688,0,45,United-States,>50K -70,Self-emp-not-inc,380498,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -28,Local-gov,257124,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K -46,Local-gov,313635,Prof-school,15,Separated,Prof-specialty,Not-in-family,Black,Male,4650,0,40,United-States,<=50K -33,Private,168906,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,55,United-States,<=50K -35,Local-gov,99146,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K -18,Private,190325,11th,7,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,272715,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -29,Private,118598,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -59,Private,97213,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -29,Private,39388,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,190916,11th,7,Divorced,Sales,Other-relative,White,Female,0,0,25,United-States,<=50K -34,Private,61308,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -30,Private,27856,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -54,State-gov,151580,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -38,Private,248011,11th,7,Divorced,Transport-moving,Unmarried,White,Male,0,0,55,United-States,<=50K -44,Private,188615,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -30,Private,62932,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K -28,Private,32510,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,15,United-States,<=50K -60,?,155977,Some-college,10,Widowed,?,Unmarried,Black,Female,0,0,54,United-States,<=50K -57,Federal-gov,250873,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,257942,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,<=50K -43,Private,334141,7th-8th,4,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -22,?,144210,11th,7,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K -34,Private,87535,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,222011,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -44,Private,33895,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,168997,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -50,Local-gov,163576,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -72,Private,98035,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -20,?,41356,Assoc-voc,11,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,245361,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,109133,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,?,<=50K -62,?,111563,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,21,United-States,<=50K -75,Self-emp-not-inc,124256,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2149,35,United-States,<=50K -21,?,227521,Some-college,10,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -60,Self-emp-not-inc,197060,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -18,Private,332125,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,2176,0,25,United-States,<=50K -19,Private,348867,HS-grad,9,Never-married,Sales,Other-relative,Black,Female,0,0,15,United-States,<=50K -31,Self-emp-inc,118584,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,110622,Bachelors,13,Divorced,Sales,Unmarried,Asian-Pac-Islander,Female,0,0,8,South,<=50K -24,Private,43535,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -62,Private,84784,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,1741,40,United-States,<=50K -25,Private,266600,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,3137,0,40,United-States,<=50K -28,Private,106935,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -56,Private,265518,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -38,Private,289653,Assoc-voc,11,Widowed,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,340917,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,60,?,>50K -41,Private,56651,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,374833,1st-4th,2,Married-spouse-absent,Farming-fishing,Unmarried,White,Male,0,0,40,Mexico,<=50K -38,Private,210198,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -44,Private,240448,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,20,United-States,<=50K -20,Private,206869,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -72,Self-emp-inc,149689,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,48,United-States,>50K -72,Private,75594,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2653,0,40,United-States,<=50K -37,Private,110331,Prof-school,15,Married-civ-spouse,Other-service,Wife,White,Female,0,0,60,United-States,>50K -54,Private,353787,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -48,Private,142909,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,54102,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -36,Self-emp-inc,339116,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,?,<=50K -60,?,50783,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,415500,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -41,Private,79586,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,60,China,>50K -52,Private,142757,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,56,United-States,>50K -37,Private,91716,HS-grad,9,Divorced,Sales,Unmarried,White,Male,0,0,75,United-States,<=50K -22,Private,376393,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K -59,Private,129762,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,Scotland,<=50K -34,Private,293017,Some-college,10,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -42,Self-emp-not-inc,54583,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,30,United-States,<=50K -21,Private,54472,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,?,129767,Assoc-acdm,12,Never-married,?,Own-child,White,Female,0,0,5,United-States,<=50K -40,Private,109217,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Mexico,<=50K -32,Private,189265,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,221680,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,200947,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,35,Italy,<=50K -21,Private,402136,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K -30,Private,119411,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,?,<=50K -47,Self-emp-not-inc,136258,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -53,Private,35459,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,>50K -31,Private,157640,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,55,United-States,>50K -39,Private,181384,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,20,United-States,<=50K -50,Private,81253,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,30,United-States,<=50K -21,Private,152668,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -17,?,387063,10th,6,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -73,?,132256,Bachelors,13,Widowed,?,Unmarried,White,Female,0,0,7,United-States,<=50K -39,Private,106964,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,1977,55,United-States,>50K -21,?,214238,HS-grad,9,Married-spouse-absent,?,Own-child,White,Female,0,0,40,United-States,<=50K -20,Private,218068,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,23,United-States,<=50K -33,Private,162572,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -74,Self-emp-not-inc,160009,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,>50K -25,Private,164488,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,?,209794,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,3,United-States,>50K -31,Private,119033,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K -27,Private,311446,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,Germany,<=50K -31,Private,128065,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,>50K -48,Private,101016,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -73,Private,33493,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,3,United-States,<=50K -34,Private,130078,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,32,?,>50K -30,Private,284826,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -53,Self-emp-not-inc,169112,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Hungary,>50K -37,Federal-gov,362006,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -19,Private,124906,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,1719,25,United-States,<=50K -53,Private,229247,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,5013,0,45,United-States,<=50K -59,Self-emp-inc,170993,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,13550,0,40,United-States,>50K -39,Private,157641,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,224632,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,38,United-States,<=50K -26,Private,159732,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,2205,43,United-States,<=50K -56,Self-emp-not-inc,221801,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -90,Private,347074,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,1944,12,United-States,<=50K -35,Private,143059,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,0,1902,28,United-States,>50K -23,Private,37072,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,137815,9th,5,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Federal-gov,594194,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -41,Private,284716,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,15,United-States,<=50K -39,Private,202662,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Local-gov,191754,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -31,Private,175985,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -69,Private,108196,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,25,?,<=50K -37,Private,51198,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -26,Self-emp-inc,384276,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -46,Self-emp-not-inc,368355,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -20,Private,221661,10th,6,Never-married,Sales,Not-in-family,White,Female,0,0,30,Mexico,<=50K -51,Private,108435,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -63,?,176827,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K -42,Private,209547,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5178,0,40,United-States,>50K -29,Private,197565,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,1902,35,United-States,>50K -62,Private,180418,12th,8,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,45880,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -52,Local-gov,203953,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Puerto-Rico,>50K -64,Self-emp-not-inc,178748,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -28,Private,203171,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Male,0,0,55,United-States,<=50K -71,Private,132057,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,9386,0,50,United-States,>50K -33,Local-gov,40142,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,<=50K -36,Private,224541,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,El-Salvador,<=50K -67,Self-emp-not-inc,221252,Masters,14,Divorced,Sales,Not-in-family,Other,Male,0,0,40,United-States,<=50K -26,Private,133766,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K -41,Private,244945,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -35,Private,171393,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -63,Self-emp-not-inc,326903,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K -27,Private,91257,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,El-Salvador,<=50K -41,Private,118001,11th,7,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -30,Private,168906,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,44,United-States,<=50K -27,Private,267912,10th,6,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,Mexico,<=50K -55,Private,327406,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,65,United-States,>50K -25,Private,141876,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,185177,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,191807,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,114942,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,43,United-States,>50K -32,Self-emp-inc,204470,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,99,United-States,>50K -50,Private,195844,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Male,13550,0,50,United-States,>50K -39,Private,184659,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,224466,Some-college,10,Divorced,Craft-repair,Unmarried,Black,Male,0,0,24,United-States,<=50K -46,Local-gov,149551,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,5013,0,50,United-States,<=50K -53,Private,113522,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -68,Private,116993,Prof-school,15,Widowed,Prof-specialty,Unmarried,White,Male,0,0,60,United-States,>50K -45,Private,277434,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -42,Private,167948,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,South,>50K -67,Self-emp-inc,273239,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -74,Private,322789,10th,6,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1411,40,United-States,<=50K -20,Local-gov,240517,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -52,Local-gov,230112,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -21,Local-gov,211385,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,25,United-States,<=50K -33,Private,109282,7th-8th,4,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,367904,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Mexico,<=50K -43,Private,34278,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -67,Private,221281,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K -39,Private,179671,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,State-gov,106721,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K -27,Private,152951,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,315203,7th-8th,4,Never-married,Other-service,Not-in-family,White,Female,0,0,30,Dominican-Republic,<=50K -44,Private,117728,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -23,Private,192017,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,?,186575,11th,7,Never-married,?,Own-child,White,Male,0,0,10,United-States,<=50K -42,Private,120837,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -39,Self-emp-not-inc,289430,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,Mexico,<=50K -44,Private,304175,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K -52,Local-gov,251841,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -17,Private,33611,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,38122,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -23,Self-emp-not-inc,72143,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Federal-gov,385183,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -58,Private,37345,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,290964,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,38,United-States,>50K -26,Private,52839,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Self-emp-inc,134737,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,2829,0,70,United-States,<=50K -21,Private,55465,10th,6,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,377401,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K -21,Private,323497,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,36,United-States,<=50K -21,Private,334693,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -41,Self-emp-inc,163215,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,>50K -54,Private,178530,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -38,Private,368256,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -37,Private,191137,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,42,United-States,<=50K -64,Private,212513,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Private,147653,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K -41,Private,173307,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Private,212760,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -53,State-gov,101238,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -37,Private,306868,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,38,United-States,<=50K -60,Federal-gov,117509,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,151835,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -70,Private,291998,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,20051,0,65,United-States,>50K -44,Private,136986,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -50,Private,201984,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,187060,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,Canada,<=50K -46,Private,174928,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -29,Private,445480,12th,8,Married-civ-spouse,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -26,Private,265781,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -33,Local-gov,377107,Some-college,10,Separated,Other-service,Own-child,Black,Female,0,0,35,United-States,<=50K -42,Private,347890,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -24,Private,199336,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,45,United-States,<=50K -17,Private,111593,11th,7,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K -35,Private,258657,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -37,Federal-gov,39207,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K -59,Private,159770,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -27,Private,309463,9th,5,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,10,United-States,<=50K -38,Federal-gov,215419,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,Canada,<=50K -47,Self-emp-not-inc,177533,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,251239,9th,5,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -40,Federal-gov,134307,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Female,0,1741,40,United-States,<=50K -21,Private,24598,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,140676,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -46,Private,143542,11th,7,Widowed,Machine-op-inspct,Other-relative,White,Male,0,0,20,United-States,<=50K -65,?,38189,HS-grad,9,Never-married,?,Not-in-family,Black,Male,2346,0,40,United-States,<=50K -31,Private,158291,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,118503,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -50,Self-emp-not-inc,71609,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -46,Private,203653,Bachelors,13,Divorced,Sales,Other-relative,Black,Male,0,0,40,United-States,<=50K -31,Private,181751,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,162358,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1408,40,United-States,<=50K -66,?,231315,Assoc-acdm,12,Widowed,?,Unmarried,White,Female,0,0,3,United-States,<=50K -59,Federal-gov,181940,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -30,Private,213226,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,27828,0,40,United-States,>50K -27,Private,452963,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,268039,Some-college,10,Divorced,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K -34,Private,141841,HS-grad,9,Separated,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -58,Self-emp-not-inc,194733,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -36,Private,214008,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -29,?,147755,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,32,?,<=50K -42,State-gov,273869,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,160261,Some-college,10,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,64,?,<=50K -25,Private,48029,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -18,Private,163460,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,20,United-States,<=50K -55,Private,112529,5th-6th,3,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -55,Private,109075,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,5013,0,48,United-States,<=50K -31,Private,182699,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -33,Private,101867,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -65,Local-gov,382245,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -18,Private,200290,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -23,State-gov,35805,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -22,Private,157541,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -61,Local-gov,192085,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,15,United-States,<=50K -40,Private,33795,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,345459,Some-college,10,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -25,Private,105520,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -63,Local-gov,114752,Bachelors,13,Widowed,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,35,Philippines,<=50K -17,Private,98572,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -54,Self-emp-not-inc,83984,Masters,14,Divorced,Tech-support,Not-in-family,White,Female,0,0,20,United-States,<=50K -45,Local-gov,317846,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Male,0,0,47,United-States,<=50K -28,State-gov,319027,HS-grad,9,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -24,Private,84319,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -70,Private,298470,Bachelors,13,Widowed,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -46,Private,278322,Doctorate,16,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -51,Local-gov,169182,9th,5,Widowed,Other-service,Not-in-family,White,Female,0,0,45,Cuba,<=50K -58,Private,498267,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -71,?,94314,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,1173,0,18,United-States,<=50K -26,Private,50053,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,37,United-States,<=50K -38,Private,107302,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K -40,Private,110009,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,<=50K -45,Private,154174,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,147110,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -55,Self-emp-not-inc,141122,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,162164,11th,7,Widowed,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -26,?,168095,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,134664,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3781,0,40,United-States,<=50K -66,Private,95644,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,198183,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -35,Private,538583,11th,7,Separated,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -47,?,308499,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,108837,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,>50K -55,Private,27227,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,1977,35,United-States,>50K -43,Federal-gov,117022,Assoc-voc,11,Divorced,Handlers-cleaners,Unmarried,Black,Male,0,1726,40,United-States,<=50K -66,Private,133884,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,602513,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -55,Self-emp-inc,114495,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,50,United-States,>50K -43,Private,171087,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,40,United-States,>50K -33,Private,53373,10th,6,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -18,Private,323810,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,?,<=50K -50,Private,200325,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,322092,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,209739,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K -38,Private,589809,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -45,Self-emp-not-inc,105838,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -30,Private,119522,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -56,Private,258579,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -29,Private,123200,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,2415,40,Puerto-Rico,>50K -34,Private,275771,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -58,Local-gov,33386,Some-college,10,Widowed,Adm-clerical,Other-relative,White,Female,0,0,25,United-States,<=50K -47,Local-gov,101016,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,40,United-States,>50K -62,Private,217434,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,187229,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,40,United-States,<=50K -49,Private,207772,HS-grad,9,Divorced,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K -40,Federal-gov,179717,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,50,United-States,>50K -17,Private,260978,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,14,Philippines,<=50K -36,Private,280570,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -73,Private,179001,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,7,United-States,<=50K -26,State-gov,79089,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -63,Private,85420,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,10,United-States,<=50K -21,Local-gov,244074,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,22,United-States,<=50K -49,Self-emp-not-inc,259087,11th,7,Widowed,Craft-repair,Unmarried,White,Female,0,0,40,?,<=50K -20,Private,361138,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,45,United-States,<=50K -40,Private,309311,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,46756,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -55,Federal-gov,272339,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,82521,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -40,Private,103759,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,150675,10th,6,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,180096,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K -49,Private,157991,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -26,Private,164170,Some-college,10,Never-married,Sales,Other-relative,Asian-Pac-Islander,Female,0,0,35,Philippines,<=50K -18,Private,186946,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,23,United-States,<=50K -57,Private,201159,Assoc-acdm,12,Widowed,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -35,Self-emp-not-inc,61343,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -21,Private,130534,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -43,Private,222635,11th,7,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,80,United-States,<=50K -32,Private,169768,Bachelors,13,Separated,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K -23,Private,72922,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -59,Private,66440,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Private,338836,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,36,United-States,>50K -47,Local-gov,122206,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,>50K -36,Private,145704,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -35,State-gov,88215,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K -24,Private,114873,HS-grad,9,Never-married,Protective-serv,Not-in-family,Other,Male,0,0,40,United-States,<=50K -22,Private,240063,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -67,Self-emp-not-inc,167015,Bachelors,13,Widowed,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -44,Local-gov,354230,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,124827,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,<=50K -24,Private,225739,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -68,?,188102,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,>50K -46,Local-gov,349986,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,112763,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Female,2597,0,40,United-States,<=50K -66,Private,242589,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,34,United-States,<=50K -21,Private,366929,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,38,United-States,<=50K -25,Private,154210,11th,7,Married-spouse-absent,Sales,Own-child,Asian-Pac-Islander,Male,0,0,35,India,<=50K -31,Private,274222,1st-4th,2,Never-married,Transport-moving,Other-relative,Other,Male,0,0,40,El-Salvador,<=50K -51,State-gov,166459,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -33,Private,36222,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -24,Private,240063,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -31,Federal-gov,158847,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -31,Private,203488,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,45,United-States,>50K -54,Private,96062,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Portugal,<=50K -49,Self-emp-not-inc,126077,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -59,Private,162580,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Female,0,0,35,United-States,<=50K -76,Self-emp-not-inc,413699,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,28,United-States,<=50K -32,Private,303692,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -47,Self-emp-not-inc,184682,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -70,Self-emp-inc,217801,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K -41,Private,306496,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -46,Private,110171,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,<=50K -36,State-gov,89625,HS-grad,9,Never-married,Protective-serv,Other-relative,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -23,?,234108,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,270147,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K -32,Self-emp-not-inc,195891,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,Iran,<=50K -47,Private,131160,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,99999,0,40,United-States,>50K -56,Private,93211,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,Canada,<=50K -38,Private,181661,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,56,United-States,>50K -74,Private,146365,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K -19,Private,219671,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -74,Private,203523,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,2653,0,12,United-States,<=50K -22,?,268145,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,137421,HS-grad,9,Married-spouse-absent,Other-service,Other-relative,Other,Male,0,0,40,Mexico,<=50K -31,Private,302679,12th,8,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -24,Private,421474,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,98524,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,Canada,>50K -27,Private,282313,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -56,Private,157786,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,55,United-States,>50K -40,Private,83508,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,20,United-States,<=50K -67,State-gov,167687,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3456,0,35,United-States,<=50K -45,Self-emp-not-inc,187272,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,45,South,<=50K -36,Federal-gov,187089,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,167625,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K -61,Private,190955,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -50,Private,185846,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,40,United-States,>50K -43,Private,55764,Some-college,10,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,40,United-States,<=50K -69,Private,164110,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,10605,0,50,United-States,>50K -32,Private,117444,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -38,Self-emp-not-inc,164593,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,?,<=50K -45,Private,22610,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,303942,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -51,Federal-gov,378126,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,1980,40,United-States,<=50K -38,Self-emp-inc,231491,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -36,Private,69481,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -42,Private,199018,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -24,Private,255252,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,193871,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,38,United-States,<=50K -36,Private,23892,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,>50K -31,Private,201156,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,55,United-States,>50K -33,Private,171468,Some-college,10,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,<=50K -37,Private,255454,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,7298,0,35,Haiti,>50K -26,Private,207258,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -43,Self-emp-not-inc,134440,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K -46,Private,107737,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,193190,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -45,Private,114774,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,2258,55,United-States,<=50K -17,Private,507492,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,Guatemala,<=50K -23,Private,209955,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,Canada,<=50K -36,Private,298635,Bachelors,13,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,Iran,>50K -47,Private,175600,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,294592,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -39,Private,40955,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -33,Private,268996,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K -30,Private,175323,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,52,United-States,<=50K -22,Private,125010,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -18,?,201871,12th,8,Never-married,?,Own-child,White,Male,0,0,7,United-States,<=50K -28,Private,203171,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,53774,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,4064,0,12,United-States,<=50K -29,Private,247867,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -28,Private,126135,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,82067,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K -45,Private,224559,10th,6,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -48,Local-gov,127675,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,0,0,44,United-States,<=50K -47,Private,101825,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -48,Self-emp-not-inc,259412,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -25,Private,166977,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,40,United-States,>50K -63,Private,546118,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -42,Private,110318,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,175856,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -30,Private,156763,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -45,Self-emp-inc,213897,Masters,14,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,1902,40,Hong,>50K -24,Private,44493,Assoc-voc,11,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,<=50K -34,Private,201156,11th,7,Never-married,Craft-repair,Not-in-family,White,Female,0,0,30,United-States,<=50K -27,Private,375703,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -31,Private,293594,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,3770,37,Puerto-Rico,<=50K -44,Local-gov,183850,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,<=50K -27,Private,84433,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -62,?,296485,Assoc-voc,11,Separated,?,Not-in-family,White,Male,0,0,10,United-States,<=50K -28,Private,214026,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -40,Local-gov,104235,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2051,30,United-States,<=50K -42,Private,212894,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -24,Private,446647,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K -56,Private,530099,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,42850,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K -43,Private,120277,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,55,United-States,<=50K -56,Private,146554,HS-grad,9,Separated,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K -20,Private,44793,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -52,Private,182907,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -50,Private,341797,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,>50K -29,Private,226441,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,48988,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -32,Private,252646,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -27,?,214695,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -23,Private,189194,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,68021,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,117369,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K -19,Private,340094,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -34,Local-gov,161113,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -23,State-gov,279243,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,<=50K -49,Private,110669,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,32,United-States,<=50K -17,Private,121470,12th,8,Never-married,Transport-moving,Own-child,White,Male,0,0,10,?,<=50K -39,Private,453686,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -32,Private,281219,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,1380,40,United-States,<=50K -30,Private,235738,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,272167,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K -76,?,84737,Bachelors,13,Widowed,?,Other-relative,Asian-Pac-Islander,Male,0,0,32,China,<=50K -62,Private,176965,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,101701,Bachelors,13,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,20,United-States,<=50K -33,Private,22405,HS-grad,9,Separated,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,72,United-States,<=50K -50,Private,98815,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,46,United-States,>50K -43,Private,195897,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -27,Private,96718,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,39,United-States,<=50K -67,Private,126361,11th,7,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,9,United-States,>50K -27,State-gov,56365,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,20,China,<=50K -33,Federal-gov,344073,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Male,0,1408,50,United-States,<=50K -35,Private,306388,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -20,Private,143604,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,2,United-States,<=50K -26,Private,174592,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -45,Self-emp-not-inc,48553,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -23,Private,358355,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,Mexico,<=50K -48,Private,443377,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -28,Local-gov,229656,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1485,40,United-States,>50K -40,Private,115516,Masters,14,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -62,Private,189665,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -52,Self-emp-not-inc,105010,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,30,United-States,<=50K -50,Private,320510,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -43,Private,175943,HS-grad,9,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,20,United-States,<=50K -44,Private,89172,Masters,14,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,281627,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,1564,30,United-States,>50K -23,State-gov,1117718,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,30,United-States,<=50K -39,Private,108293,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,152035,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,38389,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,213902,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -22,Local-gov,192812,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K -35,Private,301911,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,Japan,>50K -52,Private,89041,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K -37,Private,96483,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,5178,0,38,United-States,>50K -25,Private,209970,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K -27,Private,110622,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -51,State-gov,250807,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,State-gov,391257,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,16,United-States,<=50K -26,Private,135521,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -21,?,108670,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -42,Private,179533,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -64,Private,250117,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,50,United-States,>50K -34,State-gov,101562,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -70,Self-emp-inc,223275,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,126060,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -52,State-gov,168035,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,175382,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -33,Private,170540,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,243240,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -51,Self-emp-not-inc,381769,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,104545,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,20,United-States,<=50K -61,Private,74040,Bachelors,13,Divorced,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,30,South,<=50K -41,Federal-gov,275366,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,194360,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,72,United-States,>50K -24,State-gov,334693,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -29,Private,146764,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -24,?,184975,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -18,Private,336508,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -60,Private,427248,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,?,186489,11th,7,Married-civ-spouse,?,Husband,White,Male,0,2603,40,United-States,<=50K -28,Private,258364,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Local-gov,214215,11th,7,Married-civ-spouse,Other-service,Other-relative,White,Male,0,0,50,United-States,<=50K -41,Self-emp-not-inc,49448,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K -52,Private,261198,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Self-emp-inc,270535,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -26,Self-emp-not-inc,218993,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K -48,Private,155489,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -18,?,151866,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -47,Private,98828,HS-grad,9,Widowed,Prof-specialty,Unmarried,Other,Female,0,0,35,Puerto-Rico,<=50K -22,Private,233495,9th,5,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,182203,Some-college,10,Divorced,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -38,Private,33394,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,75,United-States,>50K -19,?,171583,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -34,Local-gov,80411,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,161295,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,>50K -49,?,178341,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,7688,0,50,United-States,>50K -38,Private,311523,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Iran,<=50K -25,Private,315130,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,10,United-States,<=50K -23,Private,67311,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,Canada,<=50K -48,Private,44907,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,0,45,United-States,<=50K -62,Private,104849,Masters,14,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,China,>50K -27,Private,225768,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -24,Private,186666,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -23,?,69510,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,50,United-States,<=50K -59,Private,171242,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -55,Private,197420,HS-grad,9,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,40,Mexico,<=50K -48,Private,224087,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -61,Self-emp-not-inc,140141,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,175943,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,14,United-States,<=50K -46,Local-gov,318259,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,190027,HS-grad,9,Separated,Tech-support,Unmarried,Black,Female,0,0,35,United-States,<=50K -32,Private,233838,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,<=50K -51,?,117847,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,99,United-States,<=50K -26,Private,49092,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -39,Private,171524,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Columbia,<=50K -50,Private,237868,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1887,55,United-States,>50K -51,Self-emp-not-inc,34067,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-inc,25005,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,177437,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Local-gov,185267,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -40,Private,104397,HS-grad,9,Married-civ-spouse,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -41,Private,33331,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K -48,Private,29128,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -57,State-gov,328228,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -21,Private,227411,Assoc-voc,11,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,169117,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,30,United-States,<=50K -27,Private,238267,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,10,United-States,<=50K -31,Private,118551,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,47541,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -45,Private,92374,Some-college,10,Never-married,Exec-managerial,Not-in-family,Other,Male,13550,0,60,India,>50K -61,Local-gov,224598,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,24,?,<=50K -32,Private,131568,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,183319,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,43,United-States,>50K -41,Private,309932,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -60,Private,197311,HS-grad,9,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,99,United-States,<=50K -28,Private,292120,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,42,United-States,<=50K -49,Private,117310,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K -23,Private,308647,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,1887,40,United-States,>50K -30,Private,135785,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,179008,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -27,State-gov,205188,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K -26,Private,193945,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -40,State-gov,258589,Masters,14,Never-married,Craft-repair,Not-in-family,White,Male,0,0,80,United-States,<=50K -30,State-gov,107142,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,37,United-States,>50K -42,Private,23157,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -72,Self-emp-not-inc,47203,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,4931,0,70,United-States,<=50K -30,Private,279923,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K -51,Private,192386,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,6849,0,40,United-States,<=50K -24,Private,188569,Masters,14,Never-married,Exec-managerial,Own-child,White,Female,4787,0,60,United-States,>50K -43,Private,68748,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -53,Private,239155,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -45,Private,165346,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,64,United-States,<=50K -21,Private,392082,Some-college,10,Never-married,Adm-clerical,Own-child,Other,Male,0,0,40,United-States,<=50K -36,Private,379522,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,Germany,<=50K -34,Private,109917,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,109097,11th,7,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,State-gov,202765,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Federal-gov,125892,Masters,14,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,15024,0,40,United-States,>50K -30,Private,119411,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,88231,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,188561,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,191681,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Private,36999,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K -57,Private,161662,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,4650,0,40,United-States,<=50K -45,Local-gov,111994,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -27,Private,247711,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,2258,55,United-States,<=50K -41,Private,271282,11th,7,Divorced,Protective-serv,Not-in-family,White,Female,0,0,20,United-States,<=50K -44,Private,314739,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -39,State-gov,195148,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,358121,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -31,Private,101266,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,278391,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,50,United-States,<=50K -19,Private,206751,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -54,Private,161147,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,2174,0,40,United-States,<=50K -47,Private,301431,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -17,Private,347000,12th,8,Never-married,Farming-fishing,Own-child,White,Male,0,0,12,United-States,<=50K -39,State-gov,25806,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,48,China,<=50K -24,Private,181557,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -20,Private,20057,Some-college,10,Never-married,Protective-serv,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -25,Private,190107,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -39,Local-gov,30269,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,44,United-States,>50K -20,Private,117767,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,406734,Masters,14,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -23,Private,236696,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,20,Iran,<=50K -24,Private,354691,12th,8,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,199720,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -24,Self-emp-not-inc,31606,Bachelors,13,Married-civ-spouse,Prof-specialty,Other-relative,White,Female,0,0,20,United-States,>50K -45,Federal-gov,133973,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -55,Private,323639,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,74,United-States,>50K -21,Private,225724,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -64,Self-emp-not-inc,144391,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,34173,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,20,United-States,<=50K -55,Local-gov,219074,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,55,United-States,>50K -21,Private,379525,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,4416,0,24,United-States,<=50K -17,Local-gov,287160,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,7,United-States,<=50K -27,Private,130386,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,409815,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -38,Private,212143,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,United-States,>50K -33,?,33404,HS-grad,9,Divorced,?,Unmarried,White,Male,0,0,48,United-States,<=50K -52,Private,235567,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,306868,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -37,Private,353550,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -37,Private,107302,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K -65,Self-emp-not-inc,169435,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,39,United-States,>50K -28,Private,105817,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,68879,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -53,Self-emp-not-inc,206288,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,35,Vietnam,<=50K -32,Private,187936,10th,6,Never-married,Craft-repair,Not-in-family,Black,Female,0,0,50,United-States,<=50K -45,Private,226081,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -49,Private,414448,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,?,<=50K -34,Local-gov,79190,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,<=50K -39,Private,34996,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -43,Private,318415,Some-college,10,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -45,?,214800,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,12,United-States,<=50K -35,Private,148334,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -41,Self-emp-inc,160120,Doctorate,16,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K -62,Self-emp-not-inc,285692,Masters,14,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -45,Private,461725,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,104329,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,37284,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,154374,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -17,Private,209650,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -18,Private,227529,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,249382,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -20,Private,305781,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Private,147989,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,58,United-States,<=50K -57,Private,207604,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,367260,Doctorate,16,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,147523,9th,5,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,El-Salvador,<=50K -52,Self-emp-not-inc,193116,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,Mexico,<=50K -18,Private,50119,10th,6,Never-married,Other-service,Not-in-family,Black,Male,0,0,20,United-States,<=50K -52,Private,262579,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -42,Private,244910,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -48,Private,120902,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -55,Private,217241,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,65098,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K -17,Private,364491,11th,7,Never-married,Sales,Own-child,White,Male,0,0,22,United-States,<=50K -47,Private,209739,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,72338,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Male,0,0,26,United-States,<=50K -48,Private,215895,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,32289,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,209464,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -69,Private,98170,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,1086,0,20,United-States,<=50K -40,Private,271665,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,124111,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,50,United-States,<=50K -82,Self-emp-not-inc,121944,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -48,Self-emp-not-inc,121424,Bachelors,13,Separated,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K -53,State-gov,33795,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,150429,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,50,United-States,>50K -57,Private,124771,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K -21,Private,204160,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,13,United-States,<=50K -52,Private,243616,5th-6th,3,Separated,Craft-repair,Unmarried,Black,Female,4101,0,40,United-States,<=50K -45,Private,168556,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,186224,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -69,Self-emp-not-inc,187332,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,45,United-States,>50K -30,Private,113433,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -37,Private,268598,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,<=50K -60,Self-emp-inc,137733,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,44,United-States,>50K -55,Private,210318,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,106662,Bachelors,13,Separated,Sales,Not-in-family,White,Male,99999,0,55,United-States,>50K -21,Private,162667,HS-grad,9,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,40,Ecuador,<=50K -25,Private,187577,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -67,Private,89495,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,1797,0,4,United-States,<=50K -41,Local-gov,247082,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -53,Private,157059,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,282643,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -68,Self-emp-not-inc,69249,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,10,United-States,>50K -36,Private,131766,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,3325,0,40,United-States,<=50K -20,Private,163665,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -20,Private,165097,Some-college,10,Never-married,Exec-managerial,Other-relative,White,Male,0,2001,40,United-States,<=50K -35,Private,194668,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,99999,0,45,United-States,>50K -27,Private,116372,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,113635,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,162994,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,266803,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,50,Canada,>50K -20,Private,230482,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,299831,Assoc-voc,11,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,172830,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,144084,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,55,United-States,<=50K -30,Local-gov,295737,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,207685,Bachelors,13,Separated,Prof-specialty,Unmarried,Black,Female,0,0,39,United-States,<=50K -55,Private,161423,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,52,United-States,>50K -53,Self-emp-not-inc,122109,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Female,0,0,70,United-States,<=50K -45,Private,215892,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,2824,50,United-States,>50K -45,Private,176517,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -40,Self-emp-not-inc,220821,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K -73,Local-gov,249043,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,Cuba,<=50K -18,Private,58949,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -33,Private,158438,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -33,Private,154950,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,200445,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K -65,?,224357,Some-college,10,Married-civ-spouse,?,Husband,White,Male,2290,0,4,United-States,<=50K -31,Federal-gov,103651,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -24,?,316524,Bachelors,13,Never-married,?,Other-relative,White,Female,0,0,40,United-States,<=50K -51,Self-emp-inc,200046,Bachelors,13,Separated,Sales,Unmarried,White,Male,0,2824,40,United-States,>50K -32,Private,193285,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -52,Private,146015,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-inc,195096,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,221078,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -45,Local-gov,186375,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -61,Self-emp-not-inc,44983,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -71,Private,29770,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K -63,State-gov,266565,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,27,United-States,<=50K -45,State-gov,235431,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -57,?,153788,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,99999,0,45,United-States,>50K -47,Private,280030,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K -50,Self-emp-not-inc,158352,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K -25,Local-gov,109972,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,45,United-States,<=50K -32,Private,278940,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -40,Private,174395,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -50,Private,141592,10th,6,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -54,Private,295525,Some-college,10,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,121321,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -42,Private,198955,9th,5,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,46,United-States,<=50K -27,?,105189,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,Germany,<=50K -38,Private,186191,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -17,Private,208967,11th,7,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K -47,Private,159399,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -21,?,169600,Some-college,10,Married-spouse-absent,?,Own-child,White,Female,0,0,35,United-States,<=50K -25,Private,262656,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,284629,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,182189,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,65,United-States,>50K -47,Federal-gov,38819,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K -57,Private,191873,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,125082,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,40,United-States,<=50K -68,Private,67791,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -34,State-gov,334744,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,65,United-States,<=50K -35,Private,198841,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -39,Local-gov,218490,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -47,Private,188386,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,95661,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,45,Germany,<=50K -55,Self-emp-not-inc,79011,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,70,United-States,<=50K -72,Self-emp-not-inc,103368,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,21,United-States,<=50K -32,Private,119176,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,44,United-States,<=50K -28,Private,90928,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,Self-emp-inc,218009,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -44,Self-emp-not-inc,460259,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -35,Local-gov,405284,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K -48,Self-emp-not-inc,26502,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -49,Federal-gov,157569,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,46,United-States,<=50K -32,Private,252168,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,35,United-States,<=50K -26,Federal-gov,269353,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,Other,Male,0,0,55,United-States,<=50K -56,Self-emp-not-inc,52822,Bachelors,13,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,30,United-States,<=50K -71,?,365996,HS-grad,9,Widowed,?,Unmarried,White,Female,6612,0,42,United-States,>50K -24,State-gov,147548,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -42,Local-gov,216411,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,Puerto-Rico,>50K -37,State-gov,122493,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,55,United-States,>50K -57,Private,41680,Some-college,10,Divorced,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K -48,Local-gov,100818,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,7443,0,45,United-States,<=50K -39,Private,30056,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -20,Self-emp-inc,83141,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,178768,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,20,United-States,<=50K -68,Self-emp-not-inc,376957,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,6,United-States,<=50K -33,Private,194740,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,160728,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -62,?,198170,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,4,United-States,<=50K -20,Private,200967,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -42,State-gov,116493,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,<=50K -64,?,117349,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K -42,Private,188615,Some-college,10,Separated,Prof-specialty,Not-in-family,White,Male,0,2231,50,Canada,>50K -47,Private,849067,12th,8,Divorced,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -40,Private,193459,Assoc-acdm,12,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Outlying-US(Guam-USVI-etc),<=50K -51,State-gov,177487,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -26,Private,151971,Some-college,10,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,35,United-States,<=50K -32,Self-emp-inc,169152,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,10520,0,80,Greece,>50K -59,Private,108929,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -36,Private,290861,11th,7,Married-spouse-absent,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,168826,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -45,Private,216414,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -38,Private,324053,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -55,State-gov,197399,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,138069,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -59,Private,184553,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -31,Private,328734,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -29,Private,336167,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,30,United-States,<=50K -34,Private,195748,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Black,Female,0,0,38,United-States,<=50K -53,Private,590941,Doctorate,16,Never-married,Prof-specialty,Unmarried,White,Female,0,1408,40,United-States,<=50K -43,Private,211580,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -52,?,73117,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,38,United-States,<=50K -45,Private,166863,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,141350,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,50,United-States,<=50K -28,Private,133937,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,15024,0,55,United-States,>50K -44,Private,282192,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,60,United-States,<=50K -32,Private,237582,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K -29,Private,262758,Assoc-acdm,12,Never-married,Other-service,Unmarried,Black,Male,0,625,60,United-States,<=50K -48,Self-emp-inc,188694,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Local-gov,104196,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,172232,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -29,Self-emp-not-inc,103432,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -65,Private,183544,9th,5,Widowed,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K -41,Private,276289,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,60,?,<=50K -58,Private,111209,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -30,Private,176862,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,201229,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,8,United-States,<=50K -42,Private,186689,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,60,United-States,<=50K -31,Private,177675,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -38,Federal-gov,337505,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -53,Private,156148,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Self-emp-inc,209642,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,99999,0,55,United-States,>50K -62,Private,159474,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,75073,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -56,Self-emp-not-inc,121362,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,40,United-States,>50K -21,Private,321369,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -43,?,49665,HS-grad,9,Divorced,?,Not-in-family,Amer-Indian-Eskimo,Male,0,0,45,United-States,<=50K -44,Private,219155,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -48,Private,329144,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K -40,Local-gov,161475,HS-grad,9,Married-civ-spouse,Protective-serv,Wife,Black,Female,0,0,75,United-States,<=50K -70,Self-emp-inc,99554,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,277488,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -27,Local-gov,286352,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -26,Private,109457,10th,6,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,48,United-States,<=50K -33,Private,236304,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,60,United-States,>50K -35,Private,399601,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -42,State-gov,396758,Some-college,10,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -37,Private,21798,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -21,?,278130,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -17,Private,192173,9th,5,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -40,Private,43546,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,48,United-States,<=50K -20,Private,87546,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -69,Private,135891,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,7,United-States,>50K -32,Private,312923,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -21,Private,33432,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,8,United-States,<=50K -25,Private,270379,HS-grad,9,Never-married,Tech-support,Other-relative,Black,Female,0,0,35,United-States,<=50K -17,Private,134829,11th,7,Never-married,Other-service,Own-child,White,Male,2176,0,20,United-States,<=50K -40,Federal-gov,155106,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,>50K -19,?,145989,Some-college,10,Never-married,?,Own-child,White,Male,0,0,45,United-States,<=50K -50,Local-gov,270221,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,43,United-States,>50K -24,Private,123226,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,154641,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -73,Private,145570,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K -54,Private,229983,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K -68,Self-emp-not-inc,140892,Masters,14,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,15,United-States,<=50K -45,Local-gov,278303,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -66,Private,127139,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -32,Self-emp-not-inc,360689,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -24,Private,19513,HS-grad,9,Never-married,Sales,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -56,Private,50490,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -50,Self-emp-not-inc,34067,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -48,Private,359808,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,>50K -28,Private,105422,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -49,Private,28171,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Male,4787,0,40,United-States,>50K -59,State-gov,49230,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,165107,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -20,Private,112706,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,39,United-States,<=50K -56,Private,28297,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,104748,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -21,Private,129137,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,1055,0,35,United-States,<=50K -30,Private,298871,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1887,45,Iran,>50K -30,Local-gov,229716,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Self-emp-inc,113752,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -32,Self-emp-not-inc,198739,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -42,Local-gov,277256,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -31,Private,114937,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,206206,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -19,Private,197861,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,15,United-States,<=50K -19,Private,38925,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,34309,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -24,Private,219122,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,Italy,<=50K -41,Self-emp-not-inc,51494,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,173422,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -20,?,116773,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,?,<=50K -33,Private,252340,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,213799,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -32,Local-gov,110100,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -53,Private,146325,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,383352,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -33,Private,369258,Bachelors,13,Never-married,Handlers-cleaners,Other-relative,White,Female,0,0,40,Mexico,<=50K -49,Private,239865,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -52,Private,200783,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K -40,Private,243580,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K -36,Private,132563,Prof-school,15,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,15,United-States,>50K -41,Self-emp-not-inc,390369,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,58,United-States,>50K -25,Private,403788,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,36,United-States,<=50K -26,State-gov,68346,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,10,?,<=50K -59,Private,136413,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -56,Federal-gov,208791,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,<=50K -21,Private,572285,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,20,United-States,<=50K -45,Private,90992,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -18,Private,156056,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K -20,Private,194102,Some-college,10,Never-married,Prof-specialty,Other-relative,White,Male,0,0,12,United-States,<=50K -42,Private,149102,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -41,Private,40151,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -40,Private,356934,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,45,United-States,>50K -28,Federal-gov,72514,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,72,United-States,<=50K -47,Local-gov,174126,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,324386,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,159544,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -34,Private,114691,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -49,Private,222829,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K -63,Private,298699,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Private,216845,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,Mexico,<=50K -44,Private,321824,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -56,Private,97541,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K -30,Private,329425,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -38,Self-emp-inc,148287,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -51,Local-gov,251346,9th,5,Married-civ-spouse,Other-service,Wife,White,Female,0,0,38,Puerto-Rico,<=50K -30,Private,143766,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -56,Private,49647,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,70,United-States,<=50K -50,Private,233363,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -54,Local-gov,180427,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -46,Private,30111,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -27,Private,360527,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,135803,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -60,Federal-gov,608441,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -42,Local-gov,720428,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K -36,Private,269784,10th,6,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,423311,HS-grad,9,Married-AF-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -43,Private,343591,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -29,Private,37088,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,?,154430,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -22,Private,113588,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,1741,30,United-States,<=50K -46,Private,190072,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,272132,Prof-school,15,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,65,?,<=50K -44,Federal-gov,32000,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -30,Self-emp-inc,164190,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,2258,45,United-States,<=50K -17,Private,233781,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,18,United-States,<=50K -23,Private,401762,11th,7,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Self-emp-not-inc,169186,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,164309,11th,7,Separated,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K -24,Private,170800,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,37,United-States,<=50K -32,Private,37232,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,373403,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -44,Private,192014,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,0,0,38,United-States,<=50K -48,Self-emp-not-inc,172034,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -36,Local-gov,322770,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,1887,40,Jamaica,>50K -39,Private,269168,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,45,China,>50K -34,Private,302570,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,36,United-States,<=50K -35,Private,103710,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Self-emp-not-inc,113364,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K -33,Private,121966,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,50,United-States,<=50K -35,Private,416745,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -30,Local-gov,154548,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,65,United-States,<=50K -45,Private,188794,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,156266,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -61,?,270599,1st-4th,2,Widowed,?,Not-in-family,White,Female,0,0,18,Mexico,<=50K -36,Private,19914,Some-college,10,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -31,Private,246439,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Male,0,0,45,United-States,<=50K -38,Private,101833,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,40,United-States,>50K -32,Private,177695,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,45,India,<=50K -23,Private,167868,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,24,United-States,<=50K -22,Private,82561,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,31848,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -45,?,117310,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,355918,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -38,Private,49115,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -29,Private,102875,11th,7,Married-civ-spouse,Handlers-cleaners,Own-child,Black,Male,0,0,20,United-States,<=50K -67,?,194456,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -52,Self-emp-not-inc,284648,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,99,United-States,>50K -52,Self-emp-not-inc,73134,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -44,Private,172600,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,10520,0,50,United-States,>50K -61,?,244856,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,4386,0,40,United-States,>50K -25,Private,184303,7th-8th,4,Never-married,Priv-house-serv,Other-relative,White,Female,0,0,40,Guatemala,<=50K -25,State-gov,154610,Bachelors,13,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Female,0,1719,15,United-States,<=50K -33,Private,260560,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,360770,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,Dominican-Republic,<=50K -24,Private,315877,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K -58,Private,128258,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,24,United-States,<=50K -33,Private,179336,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Self-emp-inc,168165,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,109015,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,1876,40,United-States,<=50K -22,Private,89154,1st-4th,2,Never-married,Other-service,Other-relative,White,Male,0,0,40,El-Salvador,<=50K -30,?,260954,7th-8th,4,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,85399,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,240841,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K -20,Private,119742,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K -24,Private,30656,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,24,United-States,<=50K -30,Local-gov,263561,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -25,Private,108838,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,259351,HS-grad,9,Never-married,Other-service,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,Mexico,<=50K -42,Private,159449,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Self-emp-not-inc,195322,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,United-States,<=50K -38,Self-emp-not-inc,179481,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -40,State-gov,195388,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,123429,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -36,Federal-gov,116580,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -21,Private,270043,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,25,United-States,<=50K -49,Self-emp-not-inc,232586,Bachelors,13,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,65,United-States,<=50K -52,Private,164519,HS-grad,9,Widowed,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K -33,Self-emp-not-inc,141118,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,55,United-States,>50K -27,Private,177955,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,Mexico,<=50K -45,Local-gov,149337,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Italy,>50K -45,Private,68896,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,48,?,<=50K -27,Private,22422,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -41,Private,215453,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,43,Mexico,<=50K -30,Local-gov,170772,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,36011,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,2057,45,United-States,<=50K -35,Private,133839,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -48,Federal-gov,50567,Some-college,10,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Self-emp-inc,203233,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,99,United-States,>50K -46,Private,187510,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -24,Federal-gov,290625,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,41,United-States,<=50K -39,Private,127573,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,>50K -27,Private,50316,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,169473,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -46,Private,25894,Doctorate,16,Divorced,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,India,>50K -44,Private,106900,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -43,Private,157473,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,48,United-States,>50K -31,Private,122612,Masters,14,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,0,25,Japan,>50K -17,Private,132187,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -25,?,52151,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,<=50K -31,Private,212705,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -38,Private,436361,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,20,United-States,>50K -38,Private,184456,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,50,Greece,<=50K -69,Local-gov,142297,10th,6,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,17,United-States,<=50K -60,Federal-gov,54701,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -34,Private,245211,Masters,14,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Poland,>50K -50,Private,98975,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,15024,0,40,United-States,>50K -31,Private,463601,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K -26,Private,297991,Bachelors,13,Married-civ-spouse,Sales,Not-in-family,Asian-Pac-Islander,Female,0,1977,75,Cambodia,>50K -36,Private,196554,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -23,Private,113511,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -17,Private,152710,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -30,Private,147171,Some-college,10,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,40,Trinadad&Tobago,<=50K -54,Private,52724,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,177482,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -58,Private,219537,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,350106,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,34,United-States,<=50K -30,Private,197947,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -21,Private,253583,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K -26,Private,58751,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -29,Private,206889,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,151399,12th,8,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -40,Local-gov,50563,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,55,United-States,>50K -31,Private,63861,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,34,United-States,<=50K -47,Private,165517,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -59,?,43103,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -21,?,123983,Some-college,10,Never-married,?,Own-child,Other,Male,0,0,20,United-States,<=50K -45,Self-emp-not-inc,32172,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -30,Private,192644,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -52,Self-emp-inc,230919,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -68,Private,115772,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Scotland,<=50K -66,Self-emp-not-inc,51687,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -26,Private,191803,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,170721,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -20,?,132053,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,170842,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -22,?,51973,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -21,?,72621,Some-college,10,Never-married,?,Own-child,White,Male,0,0,45,United-States,<=50K -20,State-gov,205895,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -53,Self-emp-inc,99185,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,80,Greece,<=50K -30,Private,149726,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,7688,0,40,United-States,>50K -38,Private,372525,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -21,Private,165107,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -47,Local-gov,273767,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -61,Private,227266,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Federal-gov,89334,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,199202,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,326587,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,144351,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K -56,Federal-gov,119254,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,Private,193881,Masters,14,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -77,Private,271000,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -17,?,74685,10th,6,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -34,Private,123291,10th,6,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -33,Local-gov,557359,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -25,Private,197403,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,184245,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,Columbia,<=50K -21,Private,92898,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -51,Private,105788,5th-6th,3,Separated,Other-service,Unmarried,Black,Female,0,0,40,Scotland,<=50K -22,?,205940,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -45,Private,212120,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -35,Private,351772,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -33,Private,309582,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,7298,0,50,United-States,>50K -28,Private,244650,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,1602,25,United-States,<=50K -58,Self-emp-not-inc,290670,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -64,Self-emp-not-inc,167877,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -37,Private,454024,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,Black,Female,0,0,35,United-States,<=50K -28,Private,125531,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -22,Private,220603,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -59,Private,180645,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,98725,10th,6,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,60,United-States,<=50K -46,Private,431515,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,122612,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,South,<=50K -23,Federal-gov,190290,HS-grad,9,Never-married,Armed-Forces,Own-child,White,Male,0,0,40,United-States,<=50K -76,Private,174839,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,9386,0,25,United-States,>50K -46,Federal-gov,83610,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -50,Private,273534,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,United-States,<=50K -26,Private,383885,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,50,United-States,<=50K -19,Private,188618,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,24,United-States,<=50K -35,Private,95653,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,56,United-States,<=50K -61,Private,204908,11th,7,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,36,United-States,<=50K -41,Private,221172,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,97723,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -32,Private,200401,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,Columbia,<=50K -41,State-gov,205153,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -38,Private,170174,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -58,Federal-gov,26947,Bachelors,13,Widowed,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -17,?,154938,11th,7,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -62,Private,125832,9th,5,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,35,United-States,<=50K -25,Self-emp-not-inc,150361,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Local-gov,113183,Masters,14,Divorced,Prof-specialty,Not-in-family,Other,Female,0,0,40,United-States,<=50K -23,Private,39551,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K -18,?,62854,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -61,?,31285,7th-8th,4,Separated,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,199217,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K -47,Local-gov,40690,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,315671,7th-8th,4,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K -23,Private,180339,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,119545,Bachelors,13,Separated,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K -23,Private,195508,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -31,Private,364657,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -49,Federal-gov,168598,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,>50K -33,Private,178683,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5013,0,40,United-States,<=50K -27,Private,123116,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2057,49,United-States,<=50K -33,Private,251117,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -35,Local-gov,42893,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,5721,0,40,United-States,<=50K -19,Private,386492,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K -31,Private,249869,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,116219,Some-college,10,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -33,Private,168981,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -67,?,137894,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,0,16,United-States,>50K -19,State-gov,139091,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K -25,Private,219199,11th,7,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,191455,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,10,United-States,<=50K -39,Private,325374,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -77,?,180425,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K -43,Private,149871,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,Private,342730,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -41,Private,252392,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -60,Private,193864,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Self-emp-inc,139364,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,35,United-States,>50K -20,Private,253612,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -34,Private,287168,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -17,Private,364952,10th,6,Married-spouse-absent,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -45,Private,82797,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -31,Private,100135,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Local-gov,287831,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,55,United-States,>50K -41,Self-emp-not-inc,140108,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,30,United-States,<=50K -19,Private,180917,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,29036,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Self-emp-not-inc,221581,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -63,Local-gov,382882,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,237091,HS-grad,9,Married-civ-spouse,Priv-house-serv,Other-relative,White,Female,0,0,20,Columbia,<=50K -19,Private,134252,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -29,Private,269354,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Private,226922,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,2907,0,43,United-States,<=50K -37,Self-emp-not-inc,191841,Bachelors,13,Divorced,Other-service,Unmarried,White,Female,0,0,48,United-States,<=50K -28,Private,37805,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -52,Private,590522,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2002,45,United-States,<=50K -51,Private,202752,12th,8,Separated,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -34,?,304872,Some-college,10,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,228075,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,163831,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,32326,Bachelors,13,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,>50K -40,Private,179809,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -35,Private,76878,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Italy,<=50K -44,Federal-gov,210492,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Male,0,0,40,United-States,<=50K -56,Private,105582,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,>50K -44,Private,160369,Some-college,10,Married-civ-spouse,Priv-house-serv,Husband,White,Male,0,0,2,United-States,<=50K -27,Private,364986,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,38,United-States,<=50K -56,?,169278,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -52,Local-gov,76081,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -27,State-gov,234135,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Self-emp-inc,187693,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,80,United-States,>50K -32,Private,188362,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,235271,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,86,United-States,>50K -34,Private,51854,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,103772,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Federal-gov,300670,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,>50K -45,Private,175990,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K -43,Private,173590,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -38,State-gov,156866,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Other,Male,0,0,40,United-States,>50K -56,Private,71388,9th,5,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -40,Private,228659,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K -55,Self-emp-not-inc,110844,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -52,Private,149908,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,25236,0,44,United-States,>50K -28,Private,93021,5th-6th,3,Never-married,Machine-op-inspct,Unmarried,Other,Female,0,0,40,?,<=50K -19,Local-gov,273187,HS-grad,9,Never-married,Protective-serv,Own-child,White,Female,0,0,36,United-States,<=50K -19,Private,62419,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -24,Private,218957,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,24,?,<=50K -48,Private,182715,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -29,Private,157103,Assoc-voc,11,Never-married,Tech-support,Own-child,Black,Male,0,1974,40,United-States,<=50K -54,Private,133963,Some-college,10,Widowed,Sales,Unmarried,White,Female,0,0,20,United-States,<=50K -26,Private,151724,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -58,Private,196502,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -37,Self-emp-inc,199816,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -41,Private,413365,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -65,Private,195568,Some-college,10,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,20,United-States,<=50K -43,Private,186245,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -33,Private,279231,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K -55,Federal-gov,171870,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,46,United-States,>50K -32,Private,127651,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,46,United-States,>50K -56,Self-emp-not-inc,289605,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,130856,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -34,State-gov,49539,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -39,Self-emp-not-inc,263081,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,50,United-States,<=50K -56,Local-gov,205759,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,358655,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -51,Private,186299,Preschool,1,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,30,United-States,<=50K -47,Private,289517,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -22,Private,105686,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -58,Local-gov,81132,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,80,Philippines,>50K -25,Private,68302,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,443546,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -34,Self-emp-not-inc,195891,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,?,>50K -35,Private,99462,HS-grad,9,Divorced,Tech-support,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -36,Private,224541,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -70,?,262502,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,1844,24,United-States,<=50K -41,Private,118921,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,60,United-States,<=50K -46,Private,155489,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -38,Self-emp-not-inc,248919,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,27828,0,35,United-States,>50K -47,Private,139268,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,27828,0,38,United-States,>50K -43,Self-emp-not-inc,245056,Preschool,1,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,Haiti,<=50K -39,Private,433592,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,45,United-States,>50K -29,Private,336624,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,8614,0,40,United-States,>50K -47,Private,177858,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,27828,0,60,United-States,>50K -37,Private,207066,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,56750,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K -67,Private,110331,9th,5,Divorced,Adm-clerical,Other-relative,White,Female,0,0,20,United-States,<=50K -40,Private,84801,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -53,Local-gov,175897,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,369027,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,37,United-States,<=50K -56,Private,170411,HS-grad,9,Divorced,Protective-serv,Own-child,White,Male,4101,0,38,United-States,<=50K -47,Private,171751,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,61518,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -31,Private,214235,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K -42,?,56483,Some-college,10,Married-AF-spouse,?,Wife,White,Female,0,0,14,United-States,<=50K -44,Private,154993,Some-college,10,Separated,Craft-repair,Unmarried,White,Female,0,0,55,United-States,<=50K -33,Private,160594,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -22,Private,258298,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K -52,Private,192666,12th,8,Separated,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K -33,Private,156602,Bachelors,13,Never-married,Sales,Own-child,White,Male,3325,0,43,United-States,<=50K -31,Private,122116,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -75,Local-gov,73433,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,2467,40,Canada,<=50K -50,Private,99185,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,203828,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,<=50K -58,Local-gov,101480,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Self-emp-inc,134815,9th,5,Never-married,Craft-repair,Unmarried,White,Male,0,625,40,United-States,<=50K -36,State-gov,235195,Some-college,10,Separated,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K -26,Private,93169,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -58,Local-gov,36091,Masters,14,Never-married,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -57,Private,124318,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,45,United-States,<=50K -46,Self-emp-inc,188861,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,1564,50,United-States,>50K -29,Private,194402,Masters,14,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,42,?,<=50K -42,Self-emp-not-inc,54651,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Cuba,>50K -34,Private,169496,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -57,Private,34366,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -35,State-gov,213076,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -36,Local-gov,161132,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,56,United-States,<=50K -46,Private,479406,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1672,40,United-States,<=50K -39,Private,115618,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -25,Self-emp-inc,158033,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,65,United-States,<=50K -43,Private,108682,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -26,Private,430195,11th,7,Separated,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K -46,Local-gov,138107,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,United-States,>50K -27,Private,215014,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,183279,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -68,Self-emp-not-inc,119056,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,24,United-States,>50K -52,Private,158583,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,36,United-States,<=50K -26,Private,242464,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -27,Private,35204,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K -52,Private,233149,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -54,Private,182855,7th-8th,4,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,189346,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -39,Private,82726,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -38,Private,179481,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -19,Private,167428,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K -22,Private,182117,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -58,Private,162970,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1977,60,United-States,>50K -39,Private,421633,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -20,State-gov,231931,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,132749,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,254351,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -31,State-gov,152109,Assoc-voc,11,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,100479,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -53,Local-gov,222405,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -32,Private,117028,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,91163,HS-grad,9,Separated,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K -36,Private,150104,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -39,Private,114605,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,348152,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,174463,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -47,Private,180243,Bachelors,13,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -31,Private,238816,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,275848,12th,8,Never-married,Sales,Other-relative,White,Female,0,0,16,United-States,<=50K -51,Private,114520,HS-grad,9,Divorced,Sales,Unmarried,White,Male,0,0,16,United-States,<=50K -34,State-gov,275880,Bachelors,13,Separated,Exec-managerial,Unmarried,Black,Female,0,0,38,United-States,<=50K -39,Private,188148,Some-college,10,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,48,United-States,<=50K -42,Private,112494,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,35,United-States,>50K -17,?,159771,10th,6,Never-married,?,Own-child,Black,Male,0,0,6,England,<=50K -27,Private,278736,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -20,?,354351,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K -33,Private,252257,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,?,128230,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,48,United-States,>50K -27,Private,321456,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -45,Self-emp-inc,200825,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -19,Private,86143,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,20,Philippines,<=50K -40,State-gov,353687,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -43,Local-gov,212847,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Private,154589,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,35,United-States,>50K -42,Private,183765,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,186672,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,Jamaica,<=50K -50,Private,249096,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -27,Private,190784,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,45,United-States,<=50K -25,Private,144516,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,124993,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,>50K -24,Private,111376,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,300838,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K -28,Private,359049,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,1092,60,United-States,<=50K -36,?,100669,HS-grad,9,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,25,United-States,<=50K -46,Self-emp-not-inc,366089,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -19,Private,110998,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -23,Private,60409,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Private,129263,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -48,Private,219967,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,171540,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Local-gov,61708,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Private,294760,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,209280,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,31,United-States,<=50K -31,Private,208881,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -17,Private,191535,11th,7,Never-married,Adm-clerical,Own-child,White,Male,0,0,7,United-States,<=50K -31,Private,143851,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -51,Private,161599,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,?,<=50K -20,Self-emp-not-inc,428299,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,199366,10th,6,Married-spouse-absent,Craft-repair,Own-child,White,Male,0,0,16,United-States,<=50K -34,Local-gov,484911,HS-grad,9,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -37,Private,390243,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,45,United-States,<=50K -55,Self-emp-not-inc,204502,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -32,Self-emp-not-inc,114419,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -49,Private,79436,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,<=50K -54,Private,141272,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -62,Local-gov,123749,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -18,Private,101173,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,35,United-States,<=50K -49,Private,39518,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -26,Private,250038,9th,5,Never-married,Farming-fishing,Other-relative,White,Male,0,0,40,Mexico,<=50K -59,Self-emp-inc,165695,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,>50K -48,Local-gov,225594,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -21,State-gov,51979,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,11,United-States,<=50K -31,Private,177675,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -37,Private,199739,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,27408,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K -28,Private,110169,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,3,United-States,<=50K -39,Self-emp-not-inc,179488,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,118551,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,>50K -71,Self-emp-not-inc,157845,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -37,Self-emp-not-inc,68899,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -53,Private,58535,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,191503,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -34,Private,113364,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -34,Self-emp-not-inc,204742,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,62,United-States,<=50K -21,Private,163870,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,?,<=50K -53,Private,208122,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Other,Male,0,0,60,United-States,>50K -46,Local-gov,174361,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -23,Private,265077,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,1055,0,10,United-States,<=50K -50,Private,241648,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -30,Private,94145,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Male,0,0,40,United-States,<=50K -32,Private,178449,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -23,Private,236804,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K -53,Self-emp-not-inc,187830,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,35,United-States,>50K -41,Private,66208,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K -42,Private,219155,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -38,Private,99146,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -45,Private,142889,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,44,United-States,<=50K -56,Private,136164,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,154410,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -65,Private,113293,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,195096,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -42,Private,172641,7th-8th,4,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -43,Private,265072,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,2258,50,United-States,>50K -22,Private,305874,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -51,Private,312446,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,37,United-States,>50K -21,Private,391312,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,30,United-States,<=50K -32,Private,234976,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,<=50K -19,Private,199495,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -53,Private,98561,HS-grad,9,Widowed,Tech-support,Not-in-family,White,Male,0,0,39,United-States,>50K -43,Private,176452,9th,5,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,50,?,>50K -17,Private,188996,9th,5,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -46,State-gov,171926,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,7430,0,50,United-States,>50K -45,Local-gov,310260,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -52,Private,72257,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,86643,Assoc-acdm,12,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -18,Private,115815,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -53,Private,227475,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Local-gov,324550,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -37,Private,138105,HS-grad,9,Separated,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,146189,11th,7,Never-married,Sales,Unmarried,Amer-Indian-Eskimo,Male,0,0,43,United-States,<=50K -25,Private,478836,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Private,513440,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Mexico,<=50K -19,Private,151806,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,363253,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,?,>50K -54,Self-emp-inc,263925,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Private,57617,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,34,United-States,<=50K -32,Private,208761,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -49,Private,169092,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,?,<=50K -34,Private,173854,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,27828,0,60,United-States,>50K -46,Local-gov,116906,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,2258,35,United-States,<=50K -43,Private,163769,10th,6,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Federal-gov,72630,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,14084,0,55,United-States,>50K -58,?,141409,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -67,Private,24968,9th,5,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,118514,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -19,?,116834,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -42,Self-emp-not-inc,99185,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -32,Private,121769,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,160271,7th-8th,4,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,123429,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,<=50K -24,Private,744929,HS-grad,9,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K -21,Private,143604,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K -36,Private,284582,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -38,?,229363,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,4,United-States,<=50K -53,Private,161482,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -24,Self-emp-not-inc,107452,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -38,State-gov,534775,Some-college,10,Never-married,Tech-support,Unmarried,Black,Female,0,0,50,United-States,<=50K -51,Private,183200,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,<=50K -42,Private,169980,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,50,United-States,>50K -22,Private,299047,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -53,Private,92475,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -51,Private,114758,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K -65,Self-emp-not-inc,55894,Prof-school,15,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,98466,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -39,Private,170174,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Male,14344,0,40,United-States,>50K -54,Private,335177,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,45,?,<=50K -24,Private,511231,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -32,Local-gov,257849,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -40,Local-gov,208751,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,383566,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,England,>50K -47,?,214605,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -40,State-gov,243664,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,<=50K -41,Private,176716,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -38,Private,366618,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Self-emp-inc,83748,Some-college,10,Married-civ-spouse,Exec-managerial,Other-relative,Asian-Pac-Islander,Female,0,0,70,South,<=50K -64,Private,278585,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -47,Private,106942,7th-8th,4,Separated,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -22,Private,372898,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -48,Private,183610,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,106061,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K -58,State-gov,138130,HS-grad,9,Never-married,Tech-support,Own-child,Black,Female,0,0,40,United-States,<=50K -48,Private,43479,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,5013,0,40,United-States,<=50K -49,Private,118520,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -34,Federal-gov,207284,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,State-gov,598995,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,3103,0,40,United-States,>50K -50,State-gov,141608,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K -31,Private,230912,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,55,United-States,<=50K -31,Private,309170,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Private,27459,HS-grad,9,Married-spouse-absent,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,266674,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,56,United-States,>50K -52,Private,93127,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,32,United-States,<=50K -43,Self-emp-inc,27444,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,40,United-States,>50K -30,Private,131415,Bachelors,13,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,60,United-States,<=50K -54,Private,105428,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,1741,40,United-States,<=50K -36,Private,139364,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,10520,0,40,Ireland,>50K -43,Private,236936,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,47,United-States,>50K -35,Private,109204,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,456592,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,37,United-States,<=50K -34,Self-emp-not-inc,173201,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,Cuba,<=50K -19,?,183408,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,111721,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -39,Private,268258,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,Black,Male,7688,0,50,United-States,>50K -59,Private,128258,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -46,Self-emp-not-inc,525848,11th,7,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,48,United-States,<=50K -39,Private,124090,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -67,Private,249043,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,6767,0,40,United-States,<=50K -38,Private,119098,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,42,United-States,<=50K -70,?,30772,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -22,Local-gov,49414,Some-college,10,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -30,Private,197886,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,>50K -39,Without-pay,334291,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -21,?,171156,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -78,?,109498,9th,5,Widowed,?,Unmarried,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,83411,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2415,40,United-States,>50K -47,Local-gov,209968,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -20,Private,223921,12th,8,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -52,Local-gov,133403,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -50,Private,75763,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -34,Private,200401,HS-grad,9,Separated,Transport-moving,Own-child,White,Male,0,0,25,Columbia,<=50K -45,Private,55272,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Local-gov,194970,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Self-emp-not-inc,143385,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,80,United-States,<=50K -30,Private,180317,Assoc-voc,11,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,255176,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -37,Local-gov,175120,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -38,Self-emp-inc,66687,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,50,Portugal,>50K -27,Federal-gov,115705,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,50,United-States,>50K -17,?,197732,11th,7,Never-married,?,Own-child,White,Female,0,0,20,England,<=50K -32,Private,111883,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,210474,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,123472,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,257621,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,341943,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -57,Private,181242,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Federal-gov,187164,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,308365,HS-grad,9,Never-married,Craft-repair,Other-relative,Black,Male,0,0,38,United-States,<=50K -53,Self-emp-not-inc,263439,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -23,Private,442359,HS-grad,9,Never-married,Sales,Own-child,White,Female,8614,0,15,United-States,>50K -54,Self-emp-not-inc,166368,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,25,United-States,<=50K -21,Private,116968,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,2597,0,40,United-States,<=50K -26,Private,57593,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,247507,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,43,United-States,<=50K -38,Private,213512,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -19,Private,71691,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,18,United-States,<=50K -28,?,147719,Some-college,10,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,0,0,48,India,<=50K -40,Private,244835,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -21,?,285830,HS-grad,9,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,20,Laos,<=50K -37,Private,386461,5th-6th,3,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,45,Mexico,<=50K -41,Private,154714,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -47,Private,281401,5th-6th,3,Divorced,Sales,Other-relative,White,Female,0,0,32,Mexico,<=50K -35,Private,189251,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,Iran,<=50K -39,State-gov,102729,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,327766,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,55,United-States,>50K -29,Private,168479,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,249352,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -24,Private,300008,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -32,Private,296466,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -47,Private,199277,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,Portugal,>50K -36,Private,174242,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -63,Private,130968,9th,5,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -25,Private,288440,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,208358,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -40,Self-emp-not-inc,458168,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -23,Private,37894,HS-grad,9,Separated,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,107410,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -24,?,96844,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -53,Private,402016,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,52,United-States,>50K -60,Private,258869,Doctorate,16,Separated,Priv-house-serv,Unmarried,White,Female,0,0,30,Nicaragua,<=50K -35,Private,114087,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,5013,0,40,United-States,<=50K -33,Private,116294,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,>50K -21,Private,241523,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -23,?,163053,10th,6,Never-married,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -18,Never-worked,162908,11th,7,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K -45,State-gov,310049,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K -37,Private,293475,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -60,Local-gov,169015,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,325762,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -37,Self-emp-not-inc,101561,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -41,State-gov,52131,HS-grad,9,Divorced,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,163867,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,204663,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,3325,0,40,United-States,<=50K -18,?,233136,11th,7,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -61,Self-emp-not-inc,48846,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -30,Private,264351,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,25,Ecuador,<=50K -41,Private,190205,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -29,Private,254450,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Self-emp-not-inc,29974,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,10520,0,45,United-States,>50K -53,Federal-gov,40641,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -73,Self-emp-not-inc,256401,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,28,United-States,>50K -25,Private,203833,10th,6,Never-married,Farming-fishing,Not-in-family,Black,Male,0,0,35,Haiti,<=50K -30,Private,277455,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,176335,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -51,Private,394690,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,State-gov,71996,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,52,United-States,<=50K -73,Self-emp-not-inc,110787,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,1409,0,2,United-States,<=50K -37,State-gov,157641,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Female,0,0,30,United-States,<=50K -72,Private,164724,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,28,United-States,<=50K -30,Self-emp-not-inc,173792,Some-college,10,Separated,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,163595,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,132412,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,?,<=50K -22,Private,193089,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,43,United-States,<=50K -28,Private,190525,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -30,Private,175878,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K -21,Private,161902,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,211494,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,8614,0,40,?,>50K -42,Private,89003,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -31,Private,344200,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,62345,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,?,<=50K -35,Private,85799,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,?,26754,Bachelors,13,Married-civ-spouse,?,Wife,Asian-Pac-Islander,Female,0,0,10,China,<=50K -26,Private,193347,Some-college,10,Divorced,Sales,Own-child,White,Female,0,0,28,United-States,<=50K -45,Self-emp-not-inc,176814,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,3411,0,40,United-States,<=50K -27,Private,336162,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -39,Private,98975,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,8614,0,50,United-States,>50K -71,Private,150943,Bachelors,13,Widowed,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K -22,Local-gov,131573,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,25,United-States,<=50K -51,Private,138852,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -48,Private,35406,Assoc-voc,11,Separated,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -48,Private,167159,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,80680,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,64,United-States,<=50K -55,Self-emp-inc,87584,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,10,United-States,<=50K -33,Private,56121,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -35,Private,284358,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -22,Private,224969,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,209034,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -33,?,177733,7th-8th,4,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -19,Private,57366,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K -23,Private,35633,7th-8th,4,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,191177,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -75,Private,199826,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,36,United-States,>50K -54,Self-emp-not-inc,94323,9th,5,Married-civ-spouse,Craft-repair,Wife,Amer-Indian-Eskimo,Female,0,2163,15,United-States,<=50K -60,?,380268,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -90,Private,272752,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K -34,Private,228386,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,Black,Female,0,0,70,United-States,<=50K -20,Private,187149,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Female,0,0,40,United-States,<=50K -24,Local-gov,335439,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -24,Private,250630,Bachelors,13,Never-married,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K -45,Local-gov,272182,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,5013,0,40,United-States,<=50K -29,Private,108574,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -47,State-gov,185400,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -24,Private,406641,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K -29,Private,103634,HS-grad,9,Never-married,Protective-serv,Unmarried,White,Male,0,0,35,United-States,<=50K -46,Private,261059,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -66,Private,199374,Masters,14,Widowed,Sales,Unmarried,White,Female,0,0,20,United-States,<=50K -41,Private,405172,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,?,>50K -32,Private,147654,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K -51,Private,129301,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -29,Private,173789,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,212588,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,457453,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -65,Private,187493,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,40,Germany,>50K -57,Self-emp-not-inc,20953,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,2129,70,United-States,<=50K -40,Private,131650,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,290754,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,?,<=50K -46,State-gov,114396,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -19,Private,202102,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,318360,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,>50K -39,Private,160916,9th,5,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -32,?,913447,HS-grad,9,Divorced,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -30,Private,293931,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K -20,Private,230824,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -20,?,358355,12th,8,Never-married,?,Unmarried,White,Female,0,0,35,United-States,<=50K -62,Private,584259,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K -44,?,208726,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -38,Private,185556,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -58,Local-gov,100054,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -44,Private,172307,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -45,Private,30840,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,27828,0,50,United-States,>50K -27,Private,147839,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,38,United-States,<=50K -51,Private,54465,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,<=50K -52,Federal-gov,418640,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,Haiti,>50K -34,Private,222130,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,187336,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Local-gov,321024,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,351262,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,38,United-States,>50K -28,Private,181597,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -41,Private,694105,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -60,Private,241013,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -44,Self-emp-inc,223881,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,?,>50K -40,Federal-gov,158796,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,Philippines,<=50K -41,Private,248476,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,191277,Assoc-voc,11,Divorced,Craft-repair,Own-child,White,Male,0,0,30,Thailand,<=50K -26,Private,273876,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K -33,Private,402848,HS-grad,9,Married-spouse-absent,Adm-clerical,Other-relative,White,Female,0,0,32,United-States,<=50K -62,Private,82906,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,4064,0,35,England,<=50K -45,Private,153682,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -52,Private,122412,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,99999,0,35,United-States,>50K -26,Private,216819,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,189680,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,>50K -41,Private,147099,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,288158,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -32,Private,146161,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -65,?,104454,Bachelors,13,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Private,91475,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,151868,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,5013,0,65,United-States,<=50K -19,Private,118306,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,51543,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K -34,Private,69727,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -60,Private,186000,10th,6,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,48280,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,186935,11th,7,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -24,Federal-gov,104164,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,339677,Masters,14,Divorced,Tech-support,Unmarried,White,Female,0,0,40,?,>50K -37,Private,123586,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,1902,73,?,>50K -19,Private,150073,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,25,United-States,<=50K -24,Private,59792,Masters,14,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -52,Private,24185,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,84,United-States,<=50K -87,?,97295,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,3,United-States,<=50K -27,Without-pay,35034,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,118714,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -33,Private,230883,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,2824,48,United-States,>50K -45,Private,149224,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,50,United-States,<=50K -35,Private,122493,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,441227,11th,7,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,60,United-States,<=50K -45,Local-gov,272792,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,50,United-States,>50K -41,Private,303521,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,4650,0,45,United-States,<=50K -40,Private,226027,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K -36,Private,94565,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -65,Self-emp-not-inc,336848,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,162688,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -30,State-gov,45737,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -60,?,147393,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -52,Private,335997,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,7688,0,38,United-States,>50K -26,Private,96645,Doctorate,16,Never-married,Craft-repair,Other-relative,Black,Male,0,0,20,United-States,<=50K -35,State-gov,43712,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K -45,Private,101825,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,5721,0,45,United-States,<=50K -45,Private,102318,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -40,State-gov,132125,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -31,Self-emp-inc,229741,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1579,45,United-States,<=50K -60,State-gov,265201,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -47,?,332884,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,>50K -39,Private,179481,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,304833,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -31,Private,341632,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,46,United-States,<=50K -21,Private,140001,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,159123,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -33,Private,229636,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -35,Private,34996,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -53,Self-emp-not-inc,67198,7th-8th,4,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,80,United-States,<=50K -65,Self-emp-inc,323636,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,10605,0,40,United-States,>50K -45,Private,182689,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -25,Private,51392,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,177905,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -36,Private,143152,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -37,State-gov,211286,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -33,Private,217962,Some-college,10,Never-married,Machine-op-inspct,Unmarried,Black,Male,0,0,40,?,<=50K -48,Private,309212,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,Germany,<=50K -19,?,97261,Some-college,10,Never-married,?,Own-child,White,Male,594,0,30,United-States,<=50K -46,Self-emp-not-inc,188273,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,15024,0,50,United-States,>50K -21,Private,93977,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -62,Self-emp-inc,163234,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,55,United-States,>50K -50,Local-gov,166423,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -33,Private,239071,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,46,United-States,<=50K -40,Private,190292,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -38,Private,170783,Assoc-voc,11,Divorced,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -28,Private,239539,HS-grad,9,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,45,United-States,<=50K -48,Private,164200,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -52,Private,177647,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,47,United-States,<=50K -44,Self-emp-not-inc,86750,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,4508,0,72,United-States,<=50K -25,Private,176981,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -59,Federal-gov,134153,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Black,Male,7298,0,38,United-States,>50K -35,Private,245372,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,168236,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,448841,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -44,Self-emp-inc,144778,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,8614,0,50,United-States,>50K -30,Private,155914,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -34,Federal-gov,117362,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Local-gov,82783,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -30,Private,207301,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -41,Private,606347,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -61,Local-gov,149981,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,234972,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -33,Private,437566,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -33,Private,243266,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Dominican-Republic,>50K -31,Private,203408,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -43,Self-emp-not-inc,297510,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -18,Private,211683,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -41,Private,167375,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,52,United-States,<=50K -36,Private,297449,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -42,Self-emp-not-inc,342634,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,Cambodia,<=50K -49,Private,38819,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -18,Private,164571,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Local-gov,122353,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,68,United-States,<=50K -26,Self-emp-not-inc,192652,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Male,0,0,15,United-States,<=50K -25,Private,401241,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,4416,0,25,United-States,<=50K -32,Private,116539,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -37,Private,162834,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Local-gov,226525,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,51,United-States,<=50K -18,Private,219404,5th-6th,3,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,48,Mexico,<=50K -38,Private,33394,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -56,Federal-gov,75804,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,<=50K -58,Self-emp-not-inc,359972,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,>50K -37,Private,201247,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,220109,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -59,Private,118479,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -45,Private,189123,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -60,Private,495366,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -31,Private,53776,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,375980,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -61,Private,185152,11th,7,Widowed,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -52,Local-gov,230095,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -22,Private,349198,7th-8th,4,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K -41,Private,59916,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,63,United-States,<=50K -32,Private,214150,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -29,Private,255187,Some-college,10,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -28,?,129624,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K -30,Private,274577,Assoc-acdm,12,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -51,Private,257756,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -29,?,1024535,11th,7,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -75,Private,186808,11th,7,Married-civ-spouse,Protective-serv,Husband,Black,Male,6418,0,50,United-States,>50K -46,Private,147519,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,80,United-States,<=50K -53,Private,173630,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -42,Private,136986,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,50,United-States,>50K -41,Private,163287,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,<=50K -25,Private,150804,HS-grad,9,Never-married,Transport-moving,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -27,Private,189565,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -47,Private,165484,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,>50K -53,Private,177727,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -53,Self-emp-inc,190762,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -38,Private,246463,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -42,Private,27661,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K -30,Private,288419,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -57,Local-gov,258641,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -71,Self-emp-not-inc,200540,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,2392,52,United-States,>50K -21,Private,305423,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,148906,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -64,Private,262645,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -21,Private,243368,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,Mexico,<=50K -41,Private,106698,HS-grad,9,Widowed,Transport-moving,Not-in-family,White,Female,13550,0,60,United-States,>50K -22,Private,186365,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Self-emp-inc,304001,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K -38,Self-emp-inc,125645,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -42,Private,111468,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,3325,0,40,United-States,<=50K -32,Private,136331,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K -40,Private,213849,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,138994,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -29,Private,177562,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,3781,0,35,United-States,<=50K -18,Private,36251,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -32,Private,100904,Some-college,10,Separated,Other-service,Unmarried,Other,Female,0,0,70,United-States,<=50K -31,Private,427474,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,2179,35,Mexico,<=50K -37,Private,280549,Bachelors,13,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -34,Private,75454,12th,8,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Private,203488,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -30,Private,49795,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,Private,152710,10th,6,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -28,Local-gov,199172,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,382583,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,127295,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Other,Male,0,0,20,Iran,<=50K -46,Local-gov,274200,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -35,Private,130540,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,1564,40,United-States,>50K -22,Private,117789,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -20,Self-emp-inc,83141,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,18,United-States,<=50K -20,?,229826,Some-college,10,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -36,Self-emp-inc,176837,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,45,United-States,>50K -34,Private,234096,9th,5,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,353317,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -23,Private,302312,HS-grad,9,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K -17,Private,181015,10th,6,Never-married,Other-service,Other-relative,White,Male,0,0,15,United-States,<=50K -36,State-gov,230329,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -48,Private,164984,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -33,Private,229051,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,45,United-States,>50K -41,Private,204415,11th,7,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,48,United-States,<=50K -55,Self-emp-not-inc,319883,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,10,?,>50K -25,Private,185836,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Private,228516,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,>50K -47,Self-emp-not-inc,242519,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -36,Private,164866,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,33001,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K -21,Private,811615,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,50,United-States,<=50K -43,Local-gov,300099,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,34,United-States,<=50K -46,State-gov,146305,Some-college,10,Divorced,Tech-support,Not-in-family,Other,Female,0,0,48,United-States,<=50K -36,Private,167482,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,65,United-States,<=50K -23,Private,106615,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Female,2176,0,25,United-States,<=50K -32,Private,204663,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,45,United-States,<=50K -40,Private,171234,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,White,Female,0,0,24,United-States,<=50K -42,Private,167174,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,China,>50K -18,?,112137,Some-college,10,Never-married,?,Own-child,Other,Female,0,0,20,?,<=50K -18,Private,116167,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -41,Private,106159,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,14344,0,48,United-States,>50K -52,State-gov,295826,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,1876,50,United-States,<=50K -26,Private,233461,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,53,Mexico,<=50K -57,Private,289605,9th,5,Never-married,Craft-repair,Not-in-family,White,Male,0,1617,35,United-States,<=50K -18,?,348533,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,3,United-States,<=50K -31,Private,197886,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -27,Private,120126,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,75,United-States,>50K -35,Private,61343,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -42,Self-emp-not-inc,116197,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Federal-gov,236503,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -69,Federal-gov,47341,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,5,United-States,<=50K -25,Private,248990,11th,7,Married-civ-spouse,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K -18,Private,190776,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -47,Local-gov,179048,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,213842,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,188274,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,86849,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -41,Self-emp-inc,67671,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Canada,>50K -21,Private,243890,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K -51,Private,279337,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -35,Private,333636,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,?,>50K -58,State-gov,312351,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -43,Local-gov,175935,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,245297,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -49,State-gov,70209,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,14084,0,60,United-States,>50K -47,Local-gov,251588,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -33,Private,176992,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3464,0,40,United-States,<=50K -51,State-gov,87205,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K -43,Private,65545,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,46,United-States,<=50K -22,Private,289579,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,360689,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1628,48,United-States,<=50K -43,Private,57600,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -42,Local-gov,247082,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,50,United-States,>50K -36,Local-gov,188798,11th,7,Separated,Prof-specialty,Unmarried,Other,Female,0,0,30,United-States,<=50K -19,Private,232261,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -19,?,35507,Some-college,10,Never-married,?,Own-child,White,Female,1055,0,40,United-States,<=50K -26,Private,301298,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -38,Private,27016,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,43,United-States,<=50K -60,Private,166789,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,1408,50,United-States,<=50K -23,Private,94071,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,117767,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,18,United-States,<=50K -41,Private,219155,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Italy,<=50K -20,Private,34616,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,112341,Assoc-voc,11,Married-spouse-absent,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -28,Private,220656,11th,7,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -53,Private,239990,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -36,Private,139180,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -52,Private,215656,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,60,United-States,<=50K -43,State-gov,157999,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -23,Private,41763,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -39,Private,299725,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,37,United-States,<=50K -32,Private,198813,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -32,Private,431551,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,Mexico,<=50K -22,Private,195767,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -26,Private,140649,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,295706,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -32,Private,324284,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,352426,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,60,Mexico,<=50K -39,Private,126569,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,?,<=50K -81,Private,106390,5th-6th,3,Widowed,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,6,United-States,<=50K -29,Private,134813,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -65,Private,95644,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,254148,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -44,Private,367819,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -30,Private,162370,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -55,Self-emp-not-inc,204387,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -60,Federal-gov,248288,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,175070,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,75,United-States,<=50K -51,Local-gov,169182,7th-8th,4,Divorced,Other-service,Unmarried,White,Female,0,0,40,Columbia,<=50K -38,Self-emp-not-inc,223242,Some-college,10,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -29,State-gov,461929,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,40,United-States,>50K -25,Self-emp-not-inc,114483,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K -45,Private,260543,Masters,14,Widowed,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Female,0,0,40,China,<=50K -27,Private,237466,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -57,Private,335605,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -31,Private,169122,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,28,United-States,<=50K -49,Private,176907,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -26,Private,264300,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -34,Private,159187,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -55,Private,303090,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,45,United-States,<=50K -33,Private,393702,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -19,?,177923,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -21,Private,191265,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,215074,Some-college,10,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -19,Private,30597,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -35,Self-emp-not-inc,28996,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,188069,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -55,Private,53481,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,>50K -37,Private,410034,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -64,Private,64544,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,12,United-States,<=50K -46,Private,204379,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,37,United-States,<=50K -23,Private,255252,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,178037,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,Ireland,<=50K -26,Private,184303,5th-6th,3,Married-spouse-absent,Priv-house-serv,Other-relative,White,Female,0,0,8,El-Salvador,<=50K -20,Private,175800,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -88,Self-emp-not-inc,263569,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,6418,0,40,United-States,>50K -42,Private,234508,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -50,Self-emp-not-inc,195372,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K -48,Private,265295,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,70,United-States,<=50K -40,Private,184846,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,5178,0,40,United-States,>50K -47,Private,185400,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -32,Private,360689,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -39,Private,200598,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -38,Private,227615,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -25,Private,308144,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -44,Private,259674,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,5178,0,60,United-States,>50K -41,Private,182217,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,30,United-States,<=50K -28,Private,230997,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,60,United-States,<=50K -31,Private,393702,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Female,0,0,36,United-States,<=50K -57,Self-emp-not-inc,130957,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,70,United-States,>50K -20,Private,210444,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,25,United-States,<=50K -36,?,172775,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,>50K -53,Self-emp-inc,167914,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,1876,50,United-States,<=50K -71,Private,533660,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -39,Private,205997,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,21,United-States,<=50K -34,Private,253616,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -49,Private,148549,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -54,Local-gov,113649,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,233322,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Self-emp-not-inc,325775,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,15,United-States,<=50K -30,Private,94235,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -47,Local-gov,336274,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,147510,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -48,Private,191389,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -35,Private,174503,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,160968,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,122797,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,52263,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,249282,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -27,Self-emp-not-inc,227332,Bachelors,13,Never-married,Sales,Other-relative,Asian-Pac-Islander,Male,0,0,50,?,<=50K -37,Local-gov,289238,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,153790,Assoc-acdm,12,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -43,Local-gov,101563,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,176240,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -56,Private,131608,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Ireland,>50K -27,Private,198286,Some-college,10,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Self-emp-not-inc,222204,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,3325,0,40,United-States,<=50K -47,Self-emp-not-inc,148169,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,347867,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K -40,Private,170413,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,1741,40,United-States,<=50K -33,Private,133861,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,62,United-States,<=50K -50,Federal-gov,289572,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -44,Local-gov,445382,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7688,0,40,United-States,>50K -42,Self-emp-not-inc,151809,HS-grad,9,Divorced,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K -49,Private,368355,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,>50K -43,Private,73333,Prof-school,15,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,32,United-States,<=50K -41,Private,117585,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1977,50,United-States,>50K -21,Private,107960,Some-college,10,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,20,China,<=50K -29,Private,196117,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,126569,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,60,United-States,<=50K -25,Private,216741,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -75,Private,254167,10th,6,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,60,United-States,<=50K -52,Private,102444,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,38848,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,55360,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Male,0,0,40,United-States,<=50K -17,Private,140117,11th,7,Never-married,Sales,Own-child,White,Female,0,0,14,United-States,<=50K -36,Self-emp-not-inc,66883,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -52,Self-emp-not-inc,154728,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,?,184756,Bachelors,13,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -48,Private,193047,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -54,Private,231342,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,0,0,32,United-States,<=50K -27,Private,310483,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -38,Federal-gov,174778,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,1980,40,United-States,<=50K -44,Federal-gov,130749,Bachelors,13,Separated,Exec-managerial,Unmarried,Black,Female,0,0,60,United-States,<=50K -38,Private,22463,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,45,United-States,>50K -29,Private,159473,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -63,Private,81605,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -51,State-gov,68684,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -22,?,229799,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,45,?,<=50K -17,Private,124661,11th,7,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -39,Private,117381,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -30,Private,53206,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,47,United-States,>50K -52,Private,172962,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -24,?,243923,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,10,Mexico,<=50K -72,Private,132753,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,15,United-States,<=50K -43,Private,67339,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,15,United-States,<=50K -71,Private,101577,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,1668,20,United-States,<=50K -39,Private,101192,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -51,State-gov,42901,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,>50K -43,Private,88787,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -39,Private,306504,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -30,?,183746,HS-grad,9,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -19,Self-emp-not-inc,242965,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -52,Private,427475,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,<=50K -60,Self-emp-inc,180512,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -30,Private,97723,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -60,Private,208915,HS-grad,9,Widowed,Craft-repair,Other-relative,Asian-Pac-Islander,Female,0,0,40,Cambodia,<=50K -40,Local-gov,189189,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,<=50K -49,Self-emp-inc,327258,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1977,60,China,>50K -31,Private,254494,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Male,0,0,40,United-States,<=50K -23,Private,105577,Some-college,10,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,26,United-States,<=50K -34,Private,215124,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,192936,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -35,Private,274158,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,3103,0,40,United-States,>50K -19,Private,318822,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,171889,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,68,United-States,<=50K -17,Private,94492,11th,7,Never-married,Sales,Own-child,White,Female,0,0,19,United-States,<=50K -17,Private,73820,12th,8,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K -38,Private,32989,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,197382,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -35,Private,164526,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-inc,153205,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,70,India,>50K -40,Private,269168,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -43,Local-gov,126847,Masters,14,Married-spouse-absent,Prof-specialty,Unmarried,White,Female,7430,0,60,United-States,>50K -50,State-gov,211112,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K -29,Private,100049,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -48,State-gov,104542,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -59,Private,186479,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -22,Private,225272,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -51,Private,346871,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -29,Private,142712,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -41,Private,46221,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Male,4787,0,60,United-States,>50K -47,Private,349151,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -31,Private,111883,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -32,Private,46691,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,291789,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,50,United-States,<=50K -45,Private,201699,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1628,40,United-States,<=50K -24,Federal-gov,219262,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -60,Self-emp-inc,160079,Masters,14,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -58,Private,193374,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Male,0,1719,40,United-States,<=50K -37,?,111268,Assoc-voc,11,Never-married,?,Own-child,White,Female,0,0,32,United-States,<=50K -19,Private,410632,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -35,Local-gov,33943,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Other,Male,0,0,40,United-States,>50K -44,Federal-gov,269792,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,43,United-States,<=50K -46,Private,153328,Some-college,10,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -47,Private,162859,HS-grad,9,Divorced,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -19,?,258664,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -80,Private,22406,Bachelors,13,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,65624,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,<=50K -43,Private,326232,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,363257,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,50,United-States,<=50K -35,Private,51700,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,19678,Bachelors,13,Married-AF-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,0,60,Philippines,>50K -21,Private,109199,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -26,State-gov,36741,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -41,Private,347653,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,37514,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K -48,Private,355781,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -46,Private,86709,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,45,United-States,<=50K -44,Self-emp-not-inc,22933,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -56,Self-emp-inc,83922,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,84,United-States,<=50K -27,Federal-gov,182637,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,?,>50K -57,Private,80149,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,Germany,>50K -60,Self-emp-not-inc,231770,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,>50K -60,?,116746,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,189759,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -40,Self-emp-inc,46221,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,99999,0,55,United-States,>50K -58,State-gov,198145,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,35864,Bachelors,13,Never-married,Sales,Not-in-family,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K -44,Federal-gov,259307,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -46,Private,129007,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,41,United-States,>50K -33,Private,169104,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -37,Private,198097,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -21,Local-gov,224640,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -17,?,35603,11th,7,Never-married,?,Own-child,White,Female,0,0,16,United-States,<=50K -47,Self-emp-not-inc,85982,Masters,14,Never-married,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,0,0,60,United-States,<=50K -39,Private,230467,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,Germany,<=50K -32,Self-emp-not-inc,168782,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K -24,Private,142566,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -30,Federal-gov,195337,HS-grad,9,Never-married,Adm-clerical,Unmarried,Other,Female,1506,0,45,United-States,<=50K -24,?,99829,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,133456,HS-grad,9,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,24,United-States,>50K -28,Local-gov,133136,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -25,Private,211531,12th,8,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,243867,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,45,United-States,<=50K -47,Local-gov,284871,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -37,Federal-gov,188563,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,1876,40,United-States,<=50K -61,Private,173866,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -23,Private,114939,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K -30,Private,259425,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,59159,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,189439,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,38,United-States,<=50K -56,Private,157786,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,>50K -41,Self-emp-inc,289636,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,<=50K -49,Self-emp-inc,154174,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -56,Private,70857,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,183000,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,>50K -37,Private,123104,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -21,State-gov,254620,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,16,United-States,<=50K -33,Local-gov,156464,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,124987,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -41,Private,413720,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,15,United-States,<=50K -33,Private,169886,12th,8,Separated,Other-service,Unmarried,White,Female,0,0,50,Dominican-Republic,<=50K -31,Private,228873,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,110622,Masters,14,Divorced,Exec-managerial,Other-relative,Asian-Pac-Islander,Female,0,0,40,South,<=50K -31,?,170513,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,99,United-States,<=50K -21,?,221418,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -65,Private,151287,Masters,14,Separated,Exec-managerial,Not-in-family,Black,Male,0,0,20,United-States,<=50K -25,Private,235218,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,111567,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,251603,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -61,Private,136109,11th,7,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -29,Private,178610,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,21,United-States,<=50K -22,Private,192289,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,Puerto-Rico,<=50K -30,Private,49325,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,>50K -52,Private,229375,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,125791,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,75619,HS-grad,9,Divorced,Transport-moving,Other-relative,White,Male,0,0,60,United-States,<=50K -60,Private,247483,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,289448,Masters,14,Never-married,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,China,>50K -22,?,122048,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -21,Private,177940,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Self-emp-not-inc,399088,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,1340,45,United-States,<=50K -38,Private,108293,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -60,Private,178249,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1887,40,United-States,>50K -24,Local-gov,52262,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,143046,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,99999,0,50,United-States,>50K -59,Private,124318,HS-grad,9,Divorced,Exec-managerial,Other-relative,White,Female,0,0,45,United-States,<=50K -52,Federal-gov,57855,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -50,Private,355954,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -28,Private,143582,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,South,<=50K -30,Private,220915,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -43,Private,172025,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,109813,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,3137,0,40,United-States,<=50K -45,Private,175600,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -26,Private,389856,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Mexico,<=50K -41,Self-emp-not-inc,167081,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,55,United-States,>50K -43,Self-emp-inc,179228,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K -23,?,214542,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,42,United-States,<=50K -31,Private,1210504,10th,6,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -55,Private,426263,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,146225,10th,6,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,240810,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,100113,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2051,40,United-States,<=50K -22,Private,214542,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,41506,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -24,Private,200121,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -55,Private,199919,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,15,United-States,<=50K -22,Private,60668,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,208347,11th,7,Never-married,Machine-op-inspct,Not-in-family,Other,Female,0,0,40,Puerto-Rico,<=50K -42,State-gov,184105,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,>50K -27,Private,255979,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -51,Self-emp-inc,251585,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,132222,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,164733,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,327902,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3908,0,50,United-States,<=50K -30,Private,262092,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -23,Private,299047,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Self-emp-not-inc,146735,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -43,Private,154568,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,>50K -37,Private,160916,7th-8th,4,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -33,Private,161444,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -32,State-gov,246282,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,2961,0,99,?,<=50K -20,?,147031,Some-college,10,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K -42,Private,220531,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K -22,Private,282202,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,Mexico,<=50K -26,Private,122485,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,4416,0,40,United-States,<=50K -32,Private,227012,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -67,Private,116502,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -51,Private,163606,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -18,Private,211413,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -33,?,171637,HS-grad,9,Married-civ-spouse,?,Own-child,White,Female,0,0,20,United-States,<=50K -57,Self-emp-not-inc,204387,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,10,United-States,>50K -24,?,214542,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,60,United-States,<=50K -29,Private,70100,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,Portugal,<=50K -42,Private,96115,Bachelors,13,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,181758,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -74,?,278557,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K -34,Federal-gov,168931,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Other,Female,0,0,40,United-States,>50K -27,Private,397962,10th,6,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,30,United-States,<=50K -28,Private,113922,HS-grad,9,Separated,Transport-moving,Own-child,White,Female,0,0,17,United-States,<=50K -17,Private,318025,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,20,United-States,<=50K -24,Private,287357,11th,7,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,33219,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -81,Self-emp-inc,51646,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,2174,35,United-States,>50K -47,Federal-gov,51664,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3908,0,40,United-States,<=50K -29,Private,195721,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,255575,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -31,Private,200835,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K -22,?,140414,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,165579,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -37,Private,38948,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -35,Private,184685,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K -23,Private,86939,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -22,Private,215251,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,Germany,<=50K -53,Private,151159,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,385266,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -68,Self-emp-inc,289349,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,9386,0,70,Germany,>50K -19,Private,232060,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -28,Private,290429,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -45,Private,179048,12th,8,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,?,>50K -57,Self-emp-not-inc,98466,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,16,United-States,<=50K -51,Local-gov,142801,Masters,14,Widowed,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,>50K -68,Self-emp-inc,119938,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -39,Private,172186,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,5013,0,40,United-States,<=50K -45,Local-gov,198759,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,40,United-States,>50K -45,State-gov,74305,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -80,Self-emp-inc,120796,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -55,Local-gov,190091,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -23,Private,197286,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -45,State-gov,129499,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,30875,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,>50K -45,Self-emp-not-inc,172822,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,3411,0,40,United-States,<=50K -34,Private,107417,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Local-gov,226902,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -21,Private,86557,Some-college,10,Never-married,Sales,Other-relative,Other,Female,0,0,30,United-States,<=50K -35,Private,98900,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Local-gov,38707,Bachelors,13,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K -39,Private,286730,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -17,Private,221797,12th,8,Never-married,Adm-clerical,Own-child,White,Female,594,0,20,United-States,<=50K -52,?,175029,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,80,United-States,<=50K -49,?,32184,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,5013,0,15,United-States,<=50K -31,Federal-gov,144949,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -48,Federal-gov,33084,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,>50K -30,Private,156464,Some-college,10,Never-married,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K -38,Private,152307,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,>50K -32,Private,341954,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,1741,45,?,<=50K -24,Private,235720,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K -47,Private,161187,12th,8,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -56,Private,90017,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Portugal,<=50K -59,Private,192671,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K -39,Self-emp-not-inc,102178,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -22,Private,293136,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -17,Local-gov,99568,10th,6,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K -66,Self-emp-not-inc,81413,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -39,Private,31053,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -18,Private,31008,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Private,221801,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -26,Federal-gov,76491,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K -64,Private,286732,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,17,United-States,<=50K -48,Self-emp-not-inc,196707,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K -51,Federal-gov,23698,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -61,Private,224699,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,>50K -22,Private,131291,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,15,United-States,<=50K -19,?,372665,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,64506,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -47,Private,139388,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -29,Private,425830,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,99146,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -37,State-gov,59200,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -21,Private,37482,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -34,Private,188798,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K -56,Private,100285,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K -31,State-gov,228446,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,19491,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,2202,0,40,United-States,<=50K -28,Private,156967,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Federal-gov,187581,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,>50K -56,Private,154490,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -30,Private,101345,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Local-gov,150533,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,46,United-States,<=50K -33,Private,93213,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -57,Private,257046,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,421837,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -41,Private,101593,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -42,Private,122215,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -49,Private,272780,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,60,Mexico,>50K -24,Private,190591,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -30,Private,78374,HS-grad,9,Married-civ-spouse,Sales,Other-relative,Asian-Pac-Islander,Female,0,0,40,?,<=50K -30,?,121468,Bachelors,13,Married-civ-spouse,?,Wife,Asian-Pac-Islander,Female,0,0,40,Hong,<=50K -31,Private,280927,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -25,Private,202480,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -47,Private,110088,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -58,?,129632,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,4,United-States,<=50K -37,Self-emp-not-inc,225860,Assoc-acdm,12,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -25,Private,310545,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,30,El-Salvador,<=50K -31,Private,178664,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -46,Self-emp-not-inc,198759,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -20,Private,259301,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -31,Private,234537,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K -63,Private,427770,12th,8,Divorced,Priv-house-serv,Unmarried,Black,Female,0,0,30,United-States,<=50K -19,?,331702,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -20,?,180052,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -54,Private,205337,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -17,Private,236091,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,8,United-States,<=50K -40,Private,33895,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,?,447210,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -27,Private,226441,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K -41,State-gov,119721,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -32,Self-emp-not-inc,455995,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -35,Private,105813,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -24,?,350917,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -42,State-gov,191814,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -65,Private,399296,5th-6th,3,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,20,Mexico,<=50K -47,Private,201595,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -41,Private,143003,Masters,14,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,1887,45,China,>50K -28,Private,74784,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -20,?,313045,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,303781,Some-college,10,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -23,Private,236769,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,264961,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -59,Private,144962,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -59,Local-gov,435836,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,>50K -46,Private,186539,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,48,United-States,>50K -23,Private,181796,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -47,Local-gov,398397,Masters,14,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,196280,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,0,0,38,United-States,<=50K -37,Federal-gov,31670,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -49,Self-emp-inc,65535,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -48,Local-gov,97680,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,10,United-States,>50K -57,Self-emp-not-inc,47178,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K -24,Self-emp-not-inc,151818,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -40,Private,304530,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,197651,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -64,Private,108054,HS-grad,9,Widowed,Transport-moving,Not-in-family,White,Male,0,0,22,United-States,<=50K -44,Private,179666,Some-college,10,Divorced,Transport-moving,Unmarried,White,Male,0,0,35,England,<=50K -45,Private,142909,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -24,Private,231261,12th,8,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -42,State-gov,119008,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,Black,Female,0,1974,40,United-States,<=50K -27,Private,168138,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -54,Private,217850,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -50,Self-emp-not-inc,343242,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -19,?,167087,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -27,Private,200179,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -35,Private,172252,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,132879,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K -21,Private,240063,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,48,United-States,<=50K -19,Private,425816,Some-college,10,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -39,Local-gov,167571,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,2885,0,30,United-States,<=50K -39,Private,85566,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,123799,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,42,United-States,<=50K -28,Private,194690,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,266347,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,68268,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -59,Self-emp-inc,145574,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -29,Private,128666,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,119411,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -38,Private,276552,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -22,?,305423,Some-college,10,Never-married,?,Own-child,White,Male,0,0,36,United-States,<=50K -38,Federal-gov,104236,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,1471,0,40,United-States,<=50K -48,?,136455,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,16,United-States,<=50K -71,Self-emp-not-inc,139889,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,>50K -39,Local-gov,102953,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -36,?,320183,11th,7,Never-married,?,Own-child,Black,Male,0,0,24,United-States,<=50K -47,Private,83407,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,84,United-States,>50K -22,?,118910,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,43,United-States,<=50K -41,Private,99254,Masters,14,Divorced,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -43,State-gov,198766,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -20,Private,191832,12th,8,Never-married,Other-service,Unmarried,White,Male,0,0,40,?,<=50K -23,Private,146178,HS-grad,9,Separated,Adm-clerical,Other-relative,White,Male,0,0,46,United-States,<=50K -35,Private,132879,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -44,Private,94706,Bachelors,13,Married-spouse-absent,Sales,Unmarried,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K -48,Local-gov,273767,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,40,United-States,>50K -43,Self-emp-not-inc,204235,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -62,?,181782,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -39,State-gov,144860,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,185832,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K -81,Private,55314,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,4,United-States,>50K -44,Private,200194,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,339772,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -54,Private,159755,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -24,Private,200207,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,31493,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,30,United-States,<=50K -31,Private,168981,HS-grad,9,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K -20,Private,201729,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,33,United-States,<=50K -30,Self-emp-not-inc,105749,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -56,Federal-gov,101847,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,4064,0,40,United-States,<=50K -46,Private,110646,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,56,United-States,<=50K -34,Private,139753,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,2174,0,50,United-States,<=50K -25,Private,255004,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -34,Private,341954,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -43,Private,124330,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,46,United-States,<=50K -46,Private,64563,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,45,United-States,>50K -32,Self-emp-not-inc,29254,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -25,?,182810,Some-college,10,Never-married,?,Not-in-family,White,Female,0,1564,37,United-States,>50K -33,?,139051,11th,7,Separated,?,Unmarried,Black,Female,0,0,53,United-States,<=50K -31,Private,151053,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,34,United-States,<=50K -66,Self-emp-inc,45702,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -26,?,138685,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,164193,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -73,Private,109651,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,30,United-States,<=50K -30,Private,126364,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -31,Private,328199,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,2354,0,40,United-States,<=50K -44,Self-emp-not-inc,180096,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,20,United-States,<=50K -23,Private,197613,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,170195,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -48,Federal-gov,56482,10th,6,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -53,Private,23686,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,1741,40,United-States,<=50K -62,State-gov,200916,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -44,Private,160261,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,2377,35,Hong,<=50K -21,Private,129232,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -22,Local-gov,249727,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -35,State-gov,106448,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -61,Local-gov,313852,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,213722,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,Greece,<=50K -29,Private,120645,Assoc-acdm,12,Married-civ-spouse,Tech-support,Wife,Black,Female,0,0,40,United-States,<=50K -78,?,167336,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K -21,Self-emp-not-inc,199419,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,50,United-States,<=50K -23,Private,132053,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,311570,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Female,0,0,35,United-States,<=50K -30,Private,187203,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -76,Private,201240,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -51,Private,150999,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -30,Self-emp-not-inc,24961,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Local-gov,152021,11th,7,Divorced,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -20,Private,374116,11th,7,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -73,Private,35370,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K -38,Private,65291,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,24,United-States,<=50K -71,?,283889,HS-grad,9,Married-spouse-absent,?,Not-in-family,Black,Male,0,1816,40,United-States,<=50K -36,Self-emp-not-inc,48585,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,4,United-States,<=50K -26,Private,132661,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -52,Private,267583,10th,6,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Private,313297,5th-6th,3,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,Mexico,<=50K -66,Private,290578,7th-8th,4,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,246038,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -42,Federal-gov,125461,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Male,0,323,40,United-States,<=50K -56,Self-emp-not-inc,206149,7th-8th,4,Never-married,Other-service,Unmarried,Black,Female,0,0,58,United-States,<=50K -59,Local-gov,205718,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,24,Canada,<=50K -37,Private,241153,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -49,Private,186706,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,7688,0,40,United-States,>50K -60,Private,216574,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -46,Private,49570,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,State-gov,82161,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,>50K -44,Private,191268,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K -31,Private,59469,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,197947,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,58,United-States,<=50K -35,Private,180131,Bachelors,13,Separated,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -17,Private,156732,11th,7,Never-married,Other-service,Other-relative,White,Female,0,0,20,United-States,<=50K -22,Private,415755,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,228254,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,37,United-States,<=50K -28,Self-emp-not-inc,414599,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,21,Guatemala,<=50K -35,Private,357173,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -49,?,111282,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,4386,0,99,United-States,>50K -38,Private,174308,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,48,United-States,<=50K -49,Federal-gov,61885,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -42,Private,123838,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -53,Private,119170,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,1740,40,United-States,<=50K -59,Private,219426,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -18,Self-emp-inc,184920,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,25,United-States,<=50K -39,Local-gov,187385,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,28,United-States,>50K -26,Private,234258,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -24,Private,387663,Some-college,10,Married-spouse-absent,Farming-fishing,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,151817,Masters,14,Separated,Tech-support,Unmarried,White,Female,0,0,36,United-States,<=50K -34,Private,187203,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -27,Local-gov,67187,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Female,0,0,33,United-States,<=50K -48,Private,194526,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -20,Private,73266,Some-college,10,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,340755,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K -26,Private,168552,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Self-emp-inc,188069,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -27,Private,198587,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,60,United-States,<=50K -21,State-gov,33423,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -40,Federal-gov,190910,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -47,Private,195963,7th-8th,4,Never-married,Transport-moving,Not-in-family,Other,Male,0,0,48,Puerto-Rico,<=50K -24,Private,345066,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Female,0,0,50,United-States,<=50K -43,Private,195258,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -44,Private,262233,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,47,United-States,<=50K -56,Private,78707,9th,5,Married-civ-spouse,Other-service,Wife,White,Female,4508,0,28,United-States,<=50K -53,Self-emp-inc,251240,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,50,United-States,>50K -36,Self-emp-not-inc,414056,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -56,Local-gov,174564,12th,8,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,236242,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,1590,40,United-States,<=50K -31,Private,31286,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,234476,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,7,United-States,<=50K -26,Private,414916,HS-grad,9,Never-married,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K -40,Private,223881,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K -21,Private,284651,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -35,Private,38948,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K -33,Private,157887,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -59,Private,70796,HS-grad,9,Married-civ-spouse,Priv-house-serv,Wife,Black,Female,0,0,15,United-States,<=50K -49,Local-gov,97176,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,47,United-States,<=50K -54,Private,146834,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,490645,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,2829,0,42,United-States,<=50K -61,State-gov,31577,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -33,Private,145437,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,43,United-States,<=50K -36,State-gov,21798,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,15024,0,40,Germany,>50K -57,Private,142076,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,40,United-States,>50K -22,Private,136230,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,184169,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K -23,Private,175778,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -46,Local-gov,59174,HS-grad,9,Widowed,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,33,United-States,<=50K -49,Private,123713,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -67,?,222362,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,>50K -51,Private,108435,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,39182,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -33,Local-gov,203051,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,46,United-States,<=50K -45,Federal-gov,363418,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -27,Local-gov,113054,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,0,0,32,United-States,<=50K -27,Local-gov,163320,Assoc-acdm,12,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,118710,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Private,170066,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,135267,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -24,Private,361278,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -59,Self-emp-not-inc,165867,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K -33,Private,300497,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -49,State-gov,255928,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,27305,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,29933,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,265434,11th,7,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -18,Private,145643,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,9,United-States,<=50K -31,?,162041,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -30,Private,119562,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3942,0,40,United-States,<=50K -29,Private,115549,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,2635,0,40,United-States,<=50K -50,Private,39590,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,United-States,>50K -24,Private,97676,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,34973,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,312446,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Federal-gov,88909,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Private,117381,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -34,Self-emp-inc,513977,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,50,United-States,<=50K -38,Federal-gov,39089,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,6849,0,50,United-States,<=50K -32,Private,341672,Bachelors,13,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,2174,0,45,Taiwan,<=50K -31,Local-gov,400535,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,United-States,<=50K -34,Self-emp-not-inc,338042,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -49,Private,216734,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Self-emp-not-inc,224207,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,6849,0,50,United-States,<=50K -58,Private,107897,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -28,Private,205903,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,191754,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,216225,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,>50K -33,Private,125762,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,201062,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,Black,Female,0,0,40,Jamaica,<=50K -53,Local-gov,25820,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Male,0,0,48,United-States,<=50K -33,Private,553405,Assoc-voc,11,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -45,Federal-gov,78022,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -27,Private,207631,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,52,Mexico,<=50K -35,Private,203988,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -47,Private,122194,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -17,Private,318918,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,30,United-States,<=50K -55,Self-emp-inc,264453,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Male,0,0,30,United-States,<=50K -28,Self-emp-not-inc,183523,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -46,Self-emp-not-inc,98881,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -18,Private,184101,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,6,United-States,<=50K -43,Local-gov,135056,HS-grad,9,Separated,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,<=50K -60,Self-emp-not-inc,71457,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,4508,0,8,United-States,<=50K -55,Self-emp-not-inc,96459,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1887,70,United-States,>50K -52,Private,134184,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,2597,0,36,United-States,<=50K -40,Private,153132,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,31,United-States,<=50K -52,Private,173991,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,<=50K -27,Federal-gov,96219,HS-grad,9,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -44,Private,152744,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -56,Private,182142,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,48915,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,24126,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Local-gov,263984,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,Puerto-Rico,<=50K -42,Local-gov,118261,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -63,Private,106141,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -48,State-gov,355320,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,15,Germany,>50K -19,?,497414,7th-8th,4,Never-married,?,Not-in-family,White,Female,0,0,35,Mexico,<=50K -41,Private,118915,Bachelors,13,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,75885,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -26,State-gov,93806,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,25,United-States,<=50K -33,Local-gov,255058,Bachelors,13,Divorced,Prof-specialty,Own-child,White,Male,0,2339,40,United-States,<=50K -41,Private,120277,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,120046,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K -26,Private,209384,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -35,Local-gov,742903,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-inc,147869,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -21,?,208117,10th,6,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -64,Private,268965,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,22,United-States,<=50K -32,Private,41210,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,128378,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -22,Private,131291,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -35,Private,187046,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -53,Private,221672,12th,8,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -29,Self-emp-not-inc,70100,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -23,Private,199586,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,243743,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -20,State-gov,375931,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K -42,Private,139012,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,>50K -45,Private,167617,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -77,Private,88269,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -32,Private,70377,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,431745,Some-college,10,Never-married,Other-service,Not-in-family,Black,Female,0,0,10,United-States,<=50K -32,Private,72967,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,>50K -41,Private,174373,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K -42,Private,145178,HS-grad,9,Separated,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K -23,?,138938,HS-grad,9,Married-civ-spouse,?,Own-child,White,Female,0,0,3,United-States,<=50K -26,Local-gov,113948,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,0,0,48,United-States,<=50K -66,Private,135446,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,43711,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -40,Private,137304,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,65,United-States,<=50K -21,Private,180690,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,135384,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -48,Private,178137,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,44,United-States,<=50K -62,Self-emp-not-inc,113440,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -45,Private,110243,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -42,Self-emp-inc,165981,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -20,Private,246635,Some-college,10,Never-married,Sales,Own-child,White,Female,2597,0,20,United-States,<=50K -30,Private,553405,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -59,Private,137506,9th,5,Widowed,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -22,Private,313730,Assoc-acdm,12,Never-married,Farming-fishing,Not-in-family,Black,Female,0,0,40,United-States,<=50K -23,Federal-gov,102684,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,<=50K -55,Private,265579,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,2354,0,40,United-States,<=50K -58,Private,101338,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Greece,>50K -67,Private,188903,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -51,Private,231919,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -38,?,139770,Masters,14,Married-civ-spouse,?,Wife,White,Female,0,0,48,United-States,>50K -37,Private,253006,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -34,Private,258425,Assoc-voc,11,Never-married,Sales,Not-in-family,Amer-Indian-Eskimo,Male,2597,0,45,United-States,<=50K -49,Private,168837,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -46,Private,177536,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,60,United-States,<=50K -29,Private,168524,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Self-emp-inc,108551,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -38,Self-emp-not-inc,180477,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,37,United-States,>50K -58,Self-emp-not-inc,162970,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,104196,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,<=50K -34,Private,329288,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,55,United-States,>50K -59,Self-emp-not-inc,39398,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,42,United-States,<=50K -33,Private,70240,Some-college,10,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -17,Private,153021,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,6,United-States,<=50K -29,Local-gov,152461,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,171892,Assoc-acdm,12,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,42,United-States,<=50K -45,Private,128141,11th,7,Separated,Tech-support,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K -68,Private,182574,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,991,0,29,United-States,<=50K -33,Local-gov,189145,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -49,Self-emp-inc,218835,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -46,Local-gov,132994,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,40,United-States,>50K -54,Private,83103,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,67,United-States,<=50K -31,Private,198103,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -25,?,177812,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Self-emp-inc,144154,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,80,United-States,<=50K -56,Private,169086,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,?,>50K -36,Private,140854,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,Portugal,<=50K -20,?,218875,Some-college,10,Never-married,?,Other-relative,White,Female,0,0,20,United-States,<=50K -35,Self-emp-not-inc,187589,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,7,United-States,<=50K -36,Private,112271,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,1902,40,United-States,>50K -27,Private,199118,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K -46,Private,178642,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,United-States,>50K -34,Private,113708,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,59,United-States,>50K -29,Federal-gov,185670,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,303187,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,44,?,>50K -49,Private,209739,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K -52,Self-emp-not-inc,155278,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,119422,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -46,Local-gov,326292,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -35,Private,212512,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -37,Private,33440,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -38,State-gov,185180,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -46,Self-emp-not-inc,504941,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -42,Private,192014,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,24,United-States,<=50K -48,Self-emp-inc,192755,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,Canada,>50K -59,Private,220896,Prof-school,15,Divorced,Other-service,Not-in-family,White,Male,27828,0,60,United-States,>50K -22,Private,189832,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -38,Private,235638,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Female,0,0,40,United-States,<=50K -39,Private,134367,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,43,United-States,<=50K -41,Private,171231,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Peru,<=50K -19,Private,253529,12th,8,Never-married,Adm-clerical,Own-child,White,Male,0,0,9,United-States,<=50K -47,State-gov,210557,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,362835,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -55,Private,186479,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -37,State-gov,115360,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,184806,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -34,Self-emp-not-inc,450141,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,35,United-States,>50K -41,Private,200479,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,152493,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,60,United-States,<=50K -29,Private,135791,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,50,Cuba,>50K -37,Self-emp-not-inc,50096,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -55,Private,173832,Masters,14,Divorced,Sales,Not-in-family,White,Male,10520,0,40,United-States,>50K -52,Private,224198,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,<=50K -57,Private,111553,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -67,Private,191380,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -20,Private,34242,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -58,Private,100054,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,70,United-States,>50K -62,Private,110103,HS-grad,9,Widowed,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K -40,Private,196626,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -66,?,194480,11th,7,Married-civ-spouse,?,Husband,White,Male,0,2377,2,United-States,>50K -26,Private,190040,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -42,Private,152629,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -18,Federal-gov,263162,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,205581,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -50,Private,155434,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -30,Private,415922,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,32,United-States,<=50K -42,Local-gov,221581,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,135089,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,56,United-States,<=50K -47,Private,117774,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Portugal,<=50K -46,Private,206707,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,315640,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,45,Iran,>50K -52,Private,210736,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,United-States,>50K -23,Local-gov,456665,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,133935,Some-college,10,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,106982,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,70,United-States,<=50K -35,Private,126569,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,State-gov,209954,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,State-gov,46401,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,410216,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,410509,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -22,Private,382199,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,84130,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,243380,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -31,Private,329635,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -20,?,265434,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K -23,Private,241752,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,172579,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,<=50K -48,Local-gov,121179,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,52,United-States,<=50K -46,Private,76131,5th-6th,3,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K -57,Private,138777,Bachelors,13,Married-civ-spouse,Protective-serv,Wife,White,Female,0,0,45,Germany,>50K -44,State-gov,195212,Masters,14,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,52,United-States,<=50K -20,Private,315135,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,15,United-States,<=50K -44,Private,248406,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -51,Private,283314,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,40,?,>50K -29,Private,231601,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -71,Self-emp-not-inc,126807,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1411,70,United-States,<=50K -31,Private,198513,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -37,Private,162651,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Columbia,<=50K -90,Private,197613,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K -49,Private,184098,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -46,Local-gov,187505,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,?,<=50K -53,Private,174655,7th-8th,4,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -17,Private,161123,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,32,United-States,<=50K -43,Private,390369,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,Mexico,<=50K -35,Self-emp-not-inc,354520,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,364631,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,Mexico,<=50K -35,Private,323120,Assoc-acdm,12,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,44,United-States,>50K -58,State-gov,32367,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -88,Private,30102,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1816,50,?,<=50K -51,Private,229259,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -31,Private,274818,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Self-emp-inc,248476,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -38,Private,98080,Some-college,10,Never-married,Adm-clerical,Other-relative,Other,Male,0,0,40,India,<=50K -44,Private,56651,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,<=50K -43,Private,216411,1st-4th,2,Never-married,Adm-clerical,Unmarried,White,Female,0,0,30,Dominican-Republic,<=50K -31,Private,226443,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,70,United-States,>50K -21,Private,119039,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,18,United-States,<=50K -25,Private,136277,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -52,Local-gov,149508,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -53,Private,449376,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K -18,Private,143450,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,20,United-States,<=50K -41,Private,227065,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,175801,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,260346,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -37,Private,54159,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,45,United-States,<=50K -24,Private,143246,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Female,2597,0,45,United-States,<=50K -32,Private,115854,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,41,United-States,<=50K -35,Private,138441,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -23,Self-emp-not-inc,149704,10th,6,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -38,Private,22245,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -27,Private,104017,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1628,50,United-States,<=50K -46,Private,165468,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -22,Private,181557,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,35,United-States,<=50K -38,Private,220694,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,>50K -27,Local-gov,190330,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -45,Federal-gov,109209,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -32,Private,187815,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -38,Federal-gov,236648,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,53306,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,418645,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,217530,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,45,Mexico,<=50K -19,Private,135066,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -20,Local-gov,38455,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,10,United-States,<=50K -37,Self-emp-not-inc,53553,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,75,United-States,<=50K -18,Private,117857,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -72,Self-emp-not-inc,379376,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -31,Private,191932,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,2258,40,United-States,<=50K -33,Private,234067,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -47,Private,348886,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -46,Private,142490,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -42,?,155190,Bachelors,13,Married-civ-spouse,?,Husband,Black,Male,2580,0,8,United-States,<=50K -22,Private,176178,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,36,United-States,<=50K -53,Private,149220,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -59,Federal-gov,188047,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -36,Private,258102,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,185216,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -61,Private,219701,12th,8,Divorced,Protective-serv,Not-in-family,White,Male,0,0,37,Cuba,<=50K -40,Private,235523,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Private,100375,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,1887,45,United-States,>50K -41,Private,24273,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -23,Private,224115,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -41,Private,187795,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,60,United-States,>50K -26,Private,161007,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,262723,Some-college,10,Never-married,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,33474,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -43,Private,167151,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,60,United-States,<=50K -38,Self-emp-inc,222532,Prof-school,15,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -47,Local-gov,48195,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,72,United-States,<=50K -23,Private,89089,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -35,Local-gov,179151,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -42,Self-emp-not-inc,192589,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -24,Private,236149,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,50,United-States,<=50K -58,Private,110820,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -22,Private,113464,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Other,Male,0,0,40,Dominican-Republic,<=50K -38,Self-emp-not-inc,248929,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,257758,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -46,Private,198660,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,195532,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -17,Private,208046,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,16,United-States,<=50K -31,Self-emp-inc,72744,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,30,United-States,<=50K -73,?,65072,10th,6,Never-married,?,Not-in-family,White,Male,0,0,12,United-States,<=50K -27,Private,313479,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,United-States,<=50K -57,Private,262681,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -54,State-gov,305319,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,<=50K -40,Private,158958,HS-grad,9,Never-married,Priv-house-serv,Other-relative,Black,Female,0,0,40,Honduras,<=50K -23,Self-emp-not-inc,47039,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,150057,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -54,State-gov,55861,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,39,United-States,<=50K -32,Self-emp-inc,225053,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,60,United-States,>50K -44,Self-emp-not-inc,136986,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K -36,?,342480,11th,7,Never-married,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K -30,?,335124,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,36,United-States,<=50K -39,Self-emp-not-inc,29874,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,54,United-States,<=50K -36,Private,191146,Some-college,10,Divorced,Sales,Unmarried,Black,Female,0,0,38,United-States,<=50K -65,Private,154164,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,20051,0,20,?,>50K -43,Private,287008,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,397877,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,30,United-States,<=50K -40,Local-gov,108765,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -23,Private,215251,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,55,United-States,<=50K -67,Private,132586,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -48,Local-gov,328610,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -59,Private,264048,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,>50K -74,?,98867,5th-6th,3,Widowed,?,Not-in-family,Black,Male,0,0,32,United-States,<=50K -36,Private,166289,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -19,Private,186328,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Federal-gov,59948,HS-grad,9,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -41,Private,231793,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Local-gov,487770,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,167536,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,250736,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,99,United-States,<=50K -18,?,197057,10th,6,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -23,Self-emp-not-inc,448026,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -56,Private,217775,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,>50K -22,Federal-gov,154394,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -61,Private,244933,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K -22,Private,155362,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -48,Private,187563,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,54,United-States,>50K -61,?,108398,11th,7,Widowed,?,Unmarried,Black,Female,0,0,9,United-States,<=50K -30,Private,69235,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K -72,Private,174032,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -31,State-gov,174957,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K -71,Self-emp-not-inc,31781,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1510,35,United-States,<=50K -49,Private,278322,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -49,Private,144514,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1887,45,United-States,>50K -41,Private,255824,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -29,Private,443858,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,114066,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,26,United-States,<=50K -30,Private,103860,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,132839,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -51,State-gov,290688,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -45,?,187439,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,2,United-States,<=50K -22,Private,170302,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,1974,45,United-States,<=50K -49,Private,74984,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,94774,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -46,Private,72896,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -55,Self-emp-inc,197749,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1573,44,United-States,<=50K -28,Private,182509,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Self-emp-inc,233117,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -36,Local-gov,102729,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,172706,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Self-emp-inc,295254,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Local-gov,101426,HS-grad,9,Never-married,Protective-serv,Unmarried,Black,Male,0,0,40,United-States,<=50K -75,Private,185603,10th,6,Widowed,Tech-support,Not-in-family,White,Female,0,0,32,United-States,<=50K -53,Private,289620,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,?,>50K -39,Private,179137,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,222199,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -39,Private,320305,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -23,?,111340,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,1573,40,United-States,<=50K -31,Federal-gov,86150,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,5178,0,40,United-States,>50K -60,Private,124648,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,38,United-States,<=50K -30,Private,175761,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,2580,0,40,United-States,<=50K -23,Private,148948,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,230355,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,Cuba,<=50K -55,State-gov,277203,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -77,Self-emp-not-inc,176690,9th,5,Widowed,Other-service,Not-in-family,White,Female,0,0,40,England,<=50K -64,Self-emp-inc,119182,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Greece,<=50K -35,Private,181353,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -19,Private,311293,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,25,United-States,<=50K -17,?,132962,12th,8,Never-married,?,Own-child,Black,Male,0,0,30,United-States,<=50K -45,Private,155478,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,46706,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,<=50K -59,Private,142326,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,220454,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,105779,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -23,Private,362623,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,1573,30,Mexico,<=50K -37,Private,115806,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -29,Private,351324,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,32,United-States,<=50K -29,Private,131712,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,?,181118,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,20,United-States,<=50K -19,?,214087,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,181291,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,Italy,<=50K -44,Private,146908,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -50,Self-emp-inc,262777,Masters,14,Separated,Exec-managerial,Unmarried,Asian-Pac-Islander,Male,0,0,45,China,<=50K -53,Local-gov,394765,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,207335,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -23,Private,133712,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,45,United-States,<=50K -24,State-gov,105479,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,140092,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -37,Private,53232,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,55,United-States,>50K -57,Private,178154,10th,6,Widowed,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,202203,Bachelors,13,Never-married,Adm-clerical,Unmarried,White,Female,0,0,60,United-States,<=50K -50,Private,49340,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Private,106207,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,103064,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Local-gov,79190,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,473449,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -48,Private,189498,11th,7,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,149902,Masters,14,Never-married,Other-service,Unmarried,Black,Female,0,0,28,United-States,<=50K -44,Private,150098,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,50,United-States,>50K -40,Private,100451,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,193094,HS-grad,9,Never-married,Craft-repair,Own-child,White,Female,0,0,48,United-States,<=50K -37,Private,202950,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,161444,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,39,United-States,<=50K -33,Self-emp-not-inc,303867,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -36,Private,143912,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -29,?,42623,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,32,United-States,<=50K -37,?,145064,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K -53,Private,199287,9th,5,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,9,United-States,<=50K -48,Private,250733,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,372525,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -21,Private,338162,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,37,United-States,<=50K -38,Private,154210,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -55,Private,158702,10th,6,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Private,199118,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,Nicaragua,<=50K -59,Private,104455,Some-college,10,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -42,Self-emp-not-inc,210013,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -22,Private,440934,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K -31,Private,375833,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -41,Private,289551,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,7688,0,40,United-States,>50K -45,Private,272729,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,State-gov,176185,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,155403,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -47,Federal-gov,239321,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -27,Private,365745,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,20,United-States,<=50K -49,Private,107399,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,93394,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -34,Self-emp-not-inc,143078,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Local-gov,283314,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1977,40,United-States,>50K -37,Private,194668,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -27,Private,170301,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -31,Self-emp-inc,162442,Masters,14,Never-married,Sales,Own-child,White,Female,27828,0,40,United-States,>50K -24,Private,456430,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,337424,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,80,United-States,<=50K -27,Private,160291,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,Germany,<=50K -41,Private,341204,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -28,Private,148084,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,40,Dominican-Republic,<=50K -26,Private,102476,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -17,?,183161,12th,8,Never-married,?,Own-child,White,Female,0,0,8,United-States,<=50K -17,Private,160029,11th,7,Never-married,Sales,Own-child,White,Female,0,0,14,United-States,<=50K -70,Self-emp-not-inc,152066,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -57,Private,175942,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -64,Private,387669,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,179824,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -23,Private,107882,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -18,?,65249,12th,8,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -47,Self-emp-not-inc,267879,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,3103,0,50,United-States,>50K -54,Private,150999,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,<=50K -42,Local-gov,69758,Assoc-acdm,12,Divorced,Protective-serv,Not-in-family,Asian-Pac-Islander,Male,0,0,48,United-States,>50K -23,Private,180795,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -28,Private,257283,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,196344,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,1672,30,Mexico,<=50K -32,Private,155151,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -35,Self-emp-not-inc,368140,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,>50K -17,Private,95079,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -37,?,254773,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,181659,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,?,215620,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,12,United-States,<=50K -29,Private,169104,HS-grad,9,Married-civ-spouse,Exec-managerial,Other-relative,Asian-Pac-Islander,Male,0,0,75,Thailand,<=50K -33,Local-gov,100446,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -46,Private,189680,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -24,Private,376474,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -44,Private,112494,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,?,212491,HS-grad,9,Divorced,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -68,Local-gov,254218,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,24,United-States,<=50K -34,Private,421200,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -19,Private,426589,HS-grad,9,Married-spouse-absent,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -27,Private,335015,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,65,United-States,<=50K -25,Private,78605,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -62,Self-emp-inc,123749,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,90,United-States,<=50K -31,Private,245500,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,25,?,<=50K -32,Private,226443,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -31,Self-emp-not-inc,150630,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,257124,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -36,Private,127865,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,4650,0,25,United-States,<=50K -50,Private,27432,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -31,Private,161765,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -42,Private,42703,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -27,Private,209641,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,93131,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,1055,0,20,China,<=50K -46,Private,191821,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,410009,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,334291,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,2258,40,United-States,<=50K -58,Self-emp-inc,274363,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1977,50,United-States,>50K -17,Private,102456,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -35,State-gov,102268,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K -46,Private,220979,Some-college,10,Divorced,Tech-support,Not-in-family,Amer-Indian-Eskimo,Male,13550,0,40,United-States,>50K -35,?,111377,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,187847,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -22,Private,40052,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,133375,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K -46,Private,226032,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,16,United-States,>50K -27,Private,211032,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,392812,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -34,Federal-gov,174724,Assoc-voc,11,Divorced,Adm-clerical,Own-child,Black,Female,1831,0,40,United-States,<=50K -50,Local-gov,363405,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,42750,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -40,Self-emp-not-inc,174112,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K -65,Self-emp-not-inc,326936,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -39,Self-emp-not-inc,188069,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -48,Private,366089,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -32,Private,162160,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,114937,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,6849,0,40,United-States,<=50K -61,Private,189932,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -57,Private,168447,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,154210,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,1902,45,Japan,>50K -29,Private,211331,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,Mexico,<=50K -57,Private,157749,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -72,Self-emp-inc,84587,5th-6th,3,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,20,Japan,<=50K -27,Private,269246,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,3464,0,45,United-States,<=50K -26,Private,305129,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -63,Private,253556,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Self-emp-inc,229116,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,>50K -45,Private,111381,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K -41,Private,121201,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -26,Local-gov,271836,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,50,United-States,>50K -47,Private,116641,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,4,France,<=50K -37,Private,171524,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,?,<=50K -52,Private,145409,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,174575,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -38,State-gov,149135,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -32,Private,234096,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -32,Local-gov,210973,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -37,Local-gov,269323,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -69,Private,29087,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,6,United-States,<=50K -27,Self-emp-not-inc,177831,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Hungary,<=50K -39,Self-emp-not-inc,167106,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,72,South,<=50K -56,Private,118993,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -26,Private,102875,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,40,India,<=50K -89,?,29106,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -32,Private,101103,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -35,Self-emp-not-inc,135020,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,75,United-States,>50K -26,Private,182390,11th,7,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -53,Private,174102,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -19,?,138153,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -23,Private,162282,Assoc-acdm,12,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,25,United-States,<=50K -51,Private,280292,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -25,Local-gov,307294,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -57,Private,94156,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,84,United-States,>50K -59,?,199033,9th,5,Married-civ-spouse,?,Wife,Black,Female,0,0,32,United-States,<=50K -61,Private,57408,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -41,Private,210922,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,55,?,<=50K -20,Private,138994,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -22,Private,416103,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -42,Private,166740,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,50,United-States,>50K -47,Self-emp-inc,139268,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -21,State-gov,165474,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,30,United-States,<=50K -37,Private,100316,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -28,?,49028,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Self-emp-inc,85566,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K -27,Private,58150,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,376548,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -20,Private,398166,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -43,Private,86797,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,161819,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K -19,Private,187125,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -30,Private,226535,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,4865,0,40,United-States,<=50K -23,Self-emp-inc,216889,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K -65,Self-emp-not-inc,135517,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,336951,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,State-gov,101603,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -32,Local-gov,205931,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K -40,Federal-gov,105119,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -58,Self-emp-not-inc,200316,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -17,Private,132859,10th,6,Never-married,Other-service,Other-relative,White,Male,0,0,35,United-States,<=50K -57,Private,137031,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -24,Local-gov,184975,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,165539,HS-grad,9,Never-married,Prof-specialty,Not-in-family,Black,Female,4101,0,40,Jamaica,<=50K -26,Private,48099,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,47012,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -60,Local-gov,195409,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,52,United-States,>50K -54,Private,20795,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,State-gov,484879,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,276087,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K -37,Federal-gov,45937,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,48,United-States,>50K -48,Federal-gov,102359,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -30,Private,186824,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -20,Private,203914,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -30,Self-emp-not-inc,209808,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -22,Private,228516,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -62,Private,49424,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,40,United-States,>50K -25,Private,359067,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -55,Self-emp-not-inc,340171,HS-grad,9,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -19,Private,142037,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -28,Local-gov,157437,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,4650,0,48,United-States,<=50K -47,State-gov,142287,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -35,State-gov,189794,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -37,Private,258289,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,352849,HS-grad,9,Never-married,Sales,Other-relative,Black,Female,0,1719,30,United-States,<=50K -37,Private,162322,Assoc-voc,11,Separated,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,200295,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -26,?,296372,HS-grad,9,Divorced,?,Own-child,White,Female,0,0,40,United-States,<=50K -54,Local-gov,190333,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,211518,Bachelors,13,Divorced,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -70,Private,264098,10th,6,Widowed,Transport-moving,Not-in-family,White,Female,2538,0,40,United-States,<=50K -43,Private,393762,Some-college,10,Separated,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -49,Local-gov,181970,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-inc,110901,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,55,United-States,>50K -21,Private,92863,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,111368,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -45,?,83601,12th,8,Widowed,?,Unmarried,White,Female,0,0,70,United-States,<=50K -47,Private,164682,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,?,<=50K -37,Private,166549,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,176566,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,3103,0,40,United-States,>50K -18,Private,201613,11th,7,Never-married,Sales,Own-child,White,Female,0,0,5,United-States,<=50K -27,Private,285294,Assoc-acdm,12,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,60,United-States,<=50K -75,Private,100301,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -22,Private,120320,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -29,Local-gov,218650,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,339482,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,<=50K -64,Private,301352,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Local-gov,225978,Assoc-voc,11,Separated,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -39,Private,337778,Some-college,10,Divorced,Sales,Not-in-family,White,Male,4650,0,40,United-States,<=50K -49,Private,241350,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,40,United-States,>50K -36,Private,266645,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,<=50K -18,Private,100863,12th,8,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -55,Local-gov,227386,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -44,Private,315971,Masters,14,Divorced,Other-service,Not-in-family,White,Female,0,0,55,United-States,<=50K -20,Private,177287,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -20,Private,169022,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,36,United-States,<=50K -50,Private,205803,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -22,Federal-gov,277700,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,20,United-States,<=50K -24,Self-emp-not-inc,166371,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -20,?,295763,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -75,Self-emp-inc,152519,Doctorate,16,Widowed,Prof-specialty,Not-in-family,White,Male,25124,0,20,United-States,>50K -44,Private,438696,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -41,Self-emp-inc,34266,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -19,Private,136391,HS-grad,9,Never-married,Tech-support,Own-child,White,Female,0,0,20,United-States,<=50K -38,Private,435638,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,1876,40,United-States,<=50K -23,Private,51973,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,50,Japan,<=50K -40,Private,109800,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -41,Federal-gov,260761,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,109015,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,>50K -35,Private,272944,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,290498,Preschool,1,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,Mexico,<=50K -25,Private,176864,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -64,State-gov,169914,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Private,205759,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -63,Private,271075,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,29,United-States,<=50K -19,Private,239995,11th,7,Never-married,Sales,Other-relative,White,Male,0,0,16,United-States,<=50K -27,Private,65663,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -20,?,259865,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,Mexico,<=50K -42,Self-emp-not-inc,34722,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -37,Private,225821,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1485,40,United-States,>50K -39,Private,191503,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -46,?,110243,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,1977,20,United-States,>50K -30,Self-emp-not-inc,227429,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,Yugoslavia,<=50K -52,Private,174452,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,209085,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K -54,Private,192386,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,38,United-States,>50K -19,?,234877,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,320862,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,535027,Some-college,10,Never-married,Transport-moving,Unmarried,Black,Male,0,0,15,United-States,<=50K -33,Private,137421,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,35,Japan,<=50K -46,Private,195727,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K -49,Self-emp-not-inc,163229,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -31,Private,50753,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K -49,Private,173503,12th,8,Divorced,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K -17,Federal-gov,29078,11th,7,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,15,United-States,<=50K -35,Private,360743,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,55,United-States,<=50K -39,Self-emp-inc,142149,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,20,United-States,>50K -26,Private,464552,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K -59,Private,47444,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,74,United-States,>50K -37,Private,24721,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -53,Private,187492,Bachelors,13,Divorced,Craft-repair,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -50,Private,229318,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,50,Trinadad&Tobago,<=50K -48,Private,358382,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,52,United-States,<=50K -60,State-gov,119832,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,414166,12th,8,Never-married,Other-service,Own-child,Black,Female,0,0,32,United-States,<=50K -35,Private,147638,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,Hong,<=50K -26,Self-emp-not-inc,33016,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,55,United-States,<=50K -20,?,386962,10th,6,Never-married,?,Own-child,White,Male,0,0,40,Mexico,<=50K -32,Private,39248,Bachelors,13,Never-married,Tech-support,Not-in-family,Other,Male,0,0,40,United-States,<=50K -69,Private,232683,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,15,France,>50K -31,Self-emp-not-inc,55912,9th,5,Never-married,Craft-repair,Unmarried,White,Male,0,0,47,United-States,<=50K -35,Private,113152,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -65,Self-emp-inc,150095,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -63,Private,114424,Some-college,10,Separated,Machine-op-inspct,Other-relative,Black,Female,0,0,37,United-States,<=50K -26,?,408417,Some-college,10,Married-AF-spouse,?,Husband,Black,Male,0,0,38,United-States,<=50K -29,Private,163167,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -48,Private,86009,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -35,Federal-gov,316582,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,7298,0,40,United-States,>50K -50,Self-emp-not-inc,165219,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K -21,Private,99829,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -47,Private,275095,9th,5,Widowed,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -42,Private,167650,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,35,United-States,<=50K -52,Self-emp-not-inc,141820,10th,6,Divorced,Other-service,Own-child,White,Female,0,0,27,United-States,<=50K -29,Private,108253,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Other,Female,0,0,40,United-States,<=50K -41,Private,156526,Some-college,10,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Self-emp-inc,185366,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -43,Self-emp-inc,314739,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,92,United-States,>50K -20,Private,336101,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -38,Private,49115,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -35,Self-emp-inc,186488,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,Puerto-Rico,<=50K -18,?,158826,12th,8,Never-married,?,Own-child,Black,Female,0,0,15,United-States,<=50K -24,Private,218415,11th,7,Separated,Handlers-cleaners,Other-relative,White,Female,0,0,40,United-States,<=50K -27,Private,76978,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -47,Private,213408,9th,5,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,Cuba,<=50K -44,Private,181265,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -18,Local-gov,242956,11th,7,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -30,Private,226696,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -30,Private,186932,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,75,United-States,<=50K -50,Federal-gov,107079,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,154950,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,48597,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -40,Private,196344,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,45,United-States,>50K -37,Self-emp-inc,152414,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -61,Private,222966,9th,5,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -39,Self-emp-not-inc,272671,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -26,Private,235520,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -30,Private,232766,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Private,309990,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,8614,0,60,United-States,>50K -40,Private,95639,HS-grad,9,Separated,Handlers-cleaners,Unmarried,Amer-Indian-Eskimo,Male,0,0,45,United-States,<=50K -20,?,177161,HS-grad,9,Never-married,?,Own-child,Other,Female,0,0,45,United-States,<=50K -51,Local-gov,133963,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,35,?,<=50K -45,Self-emp-not-inc,240786,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -44,Local-gov,141186,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,8614,0,35,United-States,>50K -65,Private,109221,7th-8th,4,Widowed,Priv-house-serv,Not-in-family,White,Female,0,3175,60,Puerto-Rico,<=50K -29,Private,337953,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,2885,0,40,United-States,<=50K -49,State-gov,189762,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -18,?,40190,12th,8,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -66,Private,171824,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,15,United-States,<=50K -48,Private,83545,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -28,Private,142712,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,37,United-States,>50K -19,Private,91893,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K -23,Private,443701,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -40,Private,438427,Some-college,10,Never-married,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K -53,Self-emp-inc,69372,Doctorate,16,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -49,Private,243190,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,109762,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -22,Private,91189,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -56,Federal-gov,205805,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -48,Local-gov,212050,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -51,Private,152652,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -18,Private,157193,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,30,Italy,<=50K -32,Private,36592,11th,7,Never-married,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K -39,Private,192664,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -38,Federal-gov,99280,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -54,Private,168621,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,127048,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -29,Private,167610,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,108320,HS-grad,9,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,369643,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -27,Private,232388,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,4386,0,40,United-States,>50K -28,Private,513719,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,27073,Some-college,10,Never-married,Adm-clerical,Unmarried,Other,Female,0,0,40,United-States,<=50K -54,Private,105428,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,167284,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,320615,7th-8th,4,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -27,Local-gov,47284,HS-grad,9,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K -42,Private,45156,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -46,Private,166269,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K -28,Federal-gov,236418,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -21,Private,311478,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,45,United-States,<=50K -50,Private,256908,Doctorate,16,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -20,Private,256796,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -27,Private,168138,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,244413,12th,8,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,30,Ecuador,<=50K -66,?,52728,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -23,?,223019,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -23,Private,215443,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,70,United-States,<=50K -41,Private,99665,9th,5,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,80,United-States,<=50K -39,Private,243485,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -38,Private,169872,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,3887,0,45,United-States,<=50K -46,Private,116338,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,109989,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,144401,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K -23,Local-gov,199555,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,1590,40,United-States,<=50K -33,Self-emp-not-inc,105229,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,185216,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -52,Private,155278,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,371408,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,47,United-States,<=50K -56,Private,177271,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -38,Private,234891,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -21,Private,356286,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -60,?,225894,Preschool,1,Widowed,?,Not-in-family,White,Female,0,0,40,Guatemala,<=50K -19,Private,181781,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,28,United-States,<=50K -23,Private,197756,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,35,United-States,<=50K -69,Local-gov,216269,Assoc-acdm,12,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Private,33931,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,151584,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K -53,Private,286085,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Self-emp-not-inc,111385,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -35,Private,280966,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,221178,HS-grad,9,Separated,Other-service,Other-relative,White,Male,0,0,28,United-States,<=50K -60,Private,74422,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,44,Mexico,<=50K -21,Private,103031,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -46,State-gov,209739,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,38,United-States,<=50K -23,State-gov,112137,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Other,Female,0,0,40,Canada,<=50K -26,Private,138537,11th,7,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,50,United-States,<=50K -72,Private,135378,7th-8th,4,Widowed,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -48,Private,175006,1st-4th,2,Separated,Machine-op-inspct,Other-relative,Black,Male,0,0,48,United-States,<=50K -26,Private,182194,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,194686,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,15,United-States,<=50K -27,Private,70034,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Federal-gov,439263,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -72,Private,74749,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,17,United-States,<=50K -26,Private,231638,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,197623,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -22,?,148409,Some-college,10,Never-married,?,Own-child,White,Male,0,1721,40,United-States,<=50K -17,?,40299,10th,6,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -46,Self-emp-not-inc,96260,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,20,United-States,<=50K -47,Self-emp-not-inc,62143,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,40,United-States,>50K -22,Private,193027,HS-grad,9,Married-spouse-absent,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -24,?,334105,11th,7,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -46,Private,31411,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,?,<=50K -60,Private,140516,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,155963,9th,5,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -58,Self-emp-not-inc,119891,Masters,14,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,35,United-States,>50K -32,Private,206609,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,425444,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,50,United-States,>50K -52,Private,114674,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,52,United-States,>50K -54,Federal-gov,57679,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Male,0,0,40,United-States,<=50K -48,Private,213140,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -52,Local-gov,295494,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -46,Private,182862,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,32,United-States,<=50K -50,Private,178529,11th,7,Divorced,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,214031,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,<=50K -17,Private,350538,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K -29,Private,238073,Some-college,10,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Columbia,<=50K -29,Private,194640,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,139770,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,>50K -21,Private,164177,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,99470,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -61,Private,359367,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -72,Local-gov,45612,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,16,United-States,<=50K -33,Private,127651,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -34,Private,193132,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,50,United-States,<=50K -26,Local-gov,314798,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,60,United-States,>50K -33,Private,108438,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -41,Private,165815,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -18,?,136172,11th,7,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K -24,Private,127159,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,24,?,<=50K -18,?,220168,Some-college,10,Never-married,?,Own-child,White,Male,0,0,16,United-States,<=50K -55,Private,127677,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -42,Private,119941,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,93699,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Federal-gov,196649,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -18,Private,332763,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K -36,Private,158363,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -38,Private,249039,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,3103,0,40,United-States,>50K -39,Private,454585,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,54,Mexico,<=50K -31,Private,121321,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,229148,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -18,Private,221284,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,64,United-States,<=50K -38,Private,428251,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -47,Self-emp-inc,77660,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -21,Private,139722,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -33,State-gov,171151,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -51,Private,94819,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -44,Private,214546,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,>50K -45,Self-emp-inc,190482,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -22,Private,283029,9th,5,Never-married,Craft-repair,Own-child,White,Male,0,0,54,United-States,<=50K -48,?,142719,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,48,United-States,>50K -40,Private,244172,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Local-gov,120238,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -29,Private,66095,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,129232,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -41,Private,44121,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -31,Private,243678,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,118786,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K -39,Self-emp-not-inc,176900,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,>50K -50,Private,155574,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K -41,Private,76625,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -18,Private,192254,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,15,United-States,<=50K -35,Private,238802,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -22,Private,247731,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -18,Private,397606,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -23,?,370057,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K -62,?,190873,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -50,Local-gov,145879,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -52,Private,618130,HS-grad,9,Divorced,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -24,Private,542762,Bachelors,13,Never-married,Sales,Other-relative,Black,Male,0,0,50,United-States,<=50K -31,Private,144124,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,190539,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -33,Private,92462,Assoc-acdm,12,Never-married,Sales,Unmarried,Black,Male,0,0,32,United-States,<=50K -48,Private,129974,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,State-gov,254890,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,261207,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Cuba,>50K -39,Self-emp-inc,206362,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,27804,Some-college,10,Divorced,Priv-house-serv,Unmarried,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K -57,Self-emp-not-inc,771836,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -29,Private,101108,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -49,Private,255466,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K -30,Local-gov,204494,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,70,Germany,<=50K -53,Private,271918,9th,5,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -17,Private,152619,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -59,Private,107318,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,130773,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -20,?,117210,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,148549,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -64,Private,181530,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -37,Private,365739,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -54,Local-gov,182429,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Female,0,0,38,United-States,<=50K -41,Private,381510,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K -45,Self-emp-not-inc,116789,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -36,Self-emp-inc,196554,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,>50K -27,Private,335878,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,45,United-States,<=50K -25,Private,184120,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -39,Private,260084,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,24,United-States,<=50K -44,Private,160369,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -22,Private,164901,11th,7,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -21,?,96844,HS-grad,9,Married-civ-spouse,?,Other-relative,White,Female,0,0,40,United-States,<=50K -56,Private,124566,5th-6th,3,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,473133,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -44,Private,335223,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -53,Private,380086,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,48,United-States,>50K -32,Private,198265,1st-4th,2,Never-married,Exec-managerial,Own-child,White,Male,0,0,21,United-States,<=50K -33,?,32207,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,75,United-States,<=50K -60,Private,288684,5th-6th,3,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -35,Private,302604,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -58,Private,170290,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -53,Self-emp-inc,195398,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1887,48,Canada,>50K -54,Local-gov,256923,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -26,Private,464552,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,45,Mexico,<=50K -27,Private,112754,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,56,United-States,<=50K -59,Private,176118,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,7,United-States,>50K -63,?,316627,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -70,Private,146628,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,3471,0,33,United-States,<=50K -26,Private,108822,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -28,Private,208608,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K -22,Private,317019,11th,7,Separated,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -24,Private,250978,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,75,United-States,<=50K -46,Private,224559,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -56,State-gov,138593,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,175614,10th,6,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,396099,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,122493,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -53,Local-gov,182677,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,50,Philippines,<=50K -57,State-gov,247624,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Private,210458,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Mexico,<=50K -25,Private,91639,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -29,Private,334096,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,25,United-States,<=50K -21,?,183945,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -47,Private,78022,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -51,Self-emp-inc,318351,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,1741,40,United-States,<=50K -23,Private,233280,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,8614,0,70,United-States,>50K -22,Private,100188,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K -29,Private,85572,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K -50,Self-emp-not-inc,61735,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,>50K -23,Private,206827,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -21,Private,210053,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -38,Local-gov,172016,Bachelors,13,Divorced,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -19,?,138153,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -31,?,183855,11th,7,Never-married,?,Unmarried,White,Female,0,0,20,United-States,<=50K -30,Private,188362,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K -42,Private,191429,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K -52,Private,357596,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -25,Local-gov,278404,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,180339,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,35,United-States,<=50K -43,Private,355431,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -33,Private,223212,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -34,Private,116371,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -41,?,199018,Some-college,10,Divorced,?,Not-in-family,White,Male,0,1504,40,United-States,<=50K -43,Private,435266,Doctorate,16,Separated,Exec-managerial,Not-in-family,White,Female,14084,0,60,United-States,>50K -61,Private,345697,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K -49,Private,253973,10th,6,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,?,191149,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,28,United-States,>50K -42,Private,197344,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K -23,Private,437161,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -72,?,94268,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -50,Self-emp-inc,207841,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,45,United-States,>50K -34,Private,46492,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -47,State-gov,190325,Some-college,10,Divorced,Tech-support,Unmarried,Black,Female,0,0,48,United-States,<=50K -48,Private,158944,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Female,0,0,60,United-States,>50K -37,Private,228598,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Other,Male,0,0,40,Mexico,<=50K -23,Private,349156,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,45,United-States,<=50K -17,?,246974,12th,8,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -66,Private,386120,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,10605,0,40,United-States,>50K -26,Private,220678,5th-6th,3,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,40,Dominican-Republic,<=50K -41,Private,462964,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,2174,0,50,United-States,<=50K -19,Private,158603,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,37,United-States,<=50K -26,?,167261,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,15,United-States,<=50K -34,Private,412933,12th,8,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,55,United-States,<=50K -59,Local-gov,167027,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,194829,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -47,Private,145636,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,>50K -57,?,123632,Bachelors,13,Never-married,?,Not-in-family,Black,Female,0,0,35,United-States,<=50K -49,Private,27614,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,324854,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,22245,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,Outlying-US(Guam-USVI-etc),<=50K -31,Private,101352,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -39,?,238721,Bachelors,13,Divorced,?,Own-child,Black,Female,0,0,40,United-States,<=50K -22,Private,289982,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,399449,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -39,?,142804,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,16,United-States,<=50K -26,Private,121427,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -41,Private,230959,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -42,Private,191342,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K -64,Private,285610,11th,7,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,207369,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -25,Federal-gov,80485,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,State-gov,33474,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -45,Private,173658,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -36,Local-gov,202207,HS-grad,9,Married-spouse-absent,Protective-serv,Not-in-family,White,Male,0,0,69,Germany,>50K -36,Private,174242,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K -22,Private,349212,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -17,?,54978,7th-8th,4,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -25,State-gov,81993,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,46,United-States,<=50K -47,Private,311395,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -18,?,149017,12th,8,Never-married,?,Own-child,White,Male,0,0,10,United-States,<=50K -34,Self-emp-not-inc,156532,7th-8th,4,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -44,Private,53470,Bachelors,13,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,212578,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K -25,Private,227465,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,423605,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,El-Salvador,<=50K -48,Private,149337,Assoc-acdm,12,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K -27,State-gov,38353,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Local-gov,325385,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -17,Private,196252,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -35,Private,110538,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,55,United-States,<=50K -75,Private,71385,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,20,United-States,<=50K -34,Private,178449,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,45,United-States,>50K -28,Federal-gov,366533,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,336326,11th,7,Never-married,Craft-repair,Unmarried,White,Male,1151,0,40,United-States,<=50K -23,Private,335439,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,1741,50,United-States,<=50K -40,Private,184471,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Federal-gov,133526,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,618808,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,408385,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,156192,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -39,Private,126569,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -40,Private,300773,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,152109,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -19,Private,260275,11th,7,Separated,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -17,Private,209650,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -73,Private,573446,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,United-States,<=50K -41,Private,253189,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,200426,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,18,United-States,<=50K -24,Private,109667,Masters,14,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K -41,?,173651,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,99,United-States,<=50K -34,Local-gov,432204,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,80,United-States,<=50K -28,Private,252013,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,45,Japan,<=50K -68,?,461484,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,1648,10,United-States,>50K -19,Private,191889,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,25,United-States,<=50K -42,Private,112507,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -36,Private,224531,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Poland,>50K -24,?,83783,7th-8th,4,Never-married,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -46,Self-emp-not-inc,346783,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,35,Cuba,>50K -48,Federal-gov,72896,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,171393,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1740,40,United-States,<=50K -27,Private,294931,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,Germany,<=50K -26,Private,198986,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -19,?,264767,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,225623,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -17,?,48610,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,14,United-States,<=50K -57,Private,113974,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,334991,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -24,Private,362059,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,32,United-States,<=50K -37,Private,389725,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K -25,Private,330774,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,149910,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,United-States,<=50K -49,Self-emp-inc,99401,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -22,Private,104266,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -21,Private,136440,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,15,South,<=50K -84,Private,65478,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,40,England,<=50K -24,Private,56121,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,Mexico,<=50K -44,Private,143939,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,231853,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,1902,40,United-States,>50K -20,Private,267706,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,38,United-States,<=50K -37,Private,328301,Some-college,10,Never-married,Tech-support,Unmarried,White,Female,4934,0,60,United-States,>50K -30,Private,36340,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -19,Private,112780,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -51,Private,113045,Masters,14,Widowed,Exec-managerial,Unmarried,White,Male,15020,0,40,United-States,>50K -52,Private,196504,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -50,State-gov,136216,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K -34,Local-gov,158242,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,<=50K -53,Private,180062,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,206888,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,77370,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -49,Self-emp-not-inc,349151,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3411,0,40,United-States,<=50K -52,Private,113843,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K -48,State-gov,176917,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -58,?,226078,11th,7,Divorced,?,Unmarried,Black,Female,0,0,32,United-States,<=50K -30,Local-gov,177828,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,137304,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -35,Private,138441,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -46,Private,30840,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -42,Private,149546,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,30,United-States,<=50K -29,Private,145182,HS-grad,9,Never-married,Protective-serv,Own-child,Black,Female,0,0,20,United-States,<=50K -25,Local-gov,270379,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -18,Self-emp-inc,378036,12th,8,Never-married,Farming-fishing,Own-child,White,Male,0,0,10,United-States,<=50K -19,Private,118535,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -19,Private,239057,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -80,Private,107740,HS-grad,9,Widowed,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -61,Private,194804,Preschool,1,Separated,Transport-moving,Not-in-family,Black,Male,14344,0,40,United-States,>50K -46,Self-emp-not-inc,225065,Bachelors,13,Separated,Other-service,Unmarried,White,Female,0,0,45,Nicaragua,<=50K -27,Private,165412,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -26,Private,211199,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,State-gov,172962,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,190748,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -38,Federal-gov,455379,12th,8,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,>50K -28,Private,112917,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,Other,Male,0,0,40,Mexico,<=50K -34,Private,299383,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -36,Private,22245,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -23,Private,49683,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -65,Local-gov,32846,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,2964,0,35,United-States,<=50K -35,Private,46947,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -65,Private,165609,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,32,United-States,<=50K -39,Private,226894,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -35,Private,143231,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,44,United-States,>50K -33,Private,173730,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,259425,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,168747,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,?,210652,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K -25,Private,40915,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,180303,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,70,South,<=50K -49,Private,182541,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1485,40,United-States,>50K -29,Private,67306,HS-grad,9,Never-married,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -20,?,38032,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Federal-gov,257395,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -29,Private,29261,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -19,Private,205977,Some-college,10,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,20,United-States,<=50K -22,?,216639,Some-college,10,Never-married,?,Not-in-family,White,Female,0,1974,40,United-States,<=50K -17,Private,134768,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -49,Private,32184,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,36,United-States,<=50K -23,Private,138037,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,1590,50,United-States,<=50K -49,Private,174426,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1977,50,United-States,>50K -45,Private,50162,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -49,Federal-gov,193998,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,187901,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -56,Private,82050,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K -18,?,20057,Some-college,10,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,16,United-States,<=50K -35,Private,144200,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Other,Male,0,0,25,Columbia,<=50K -80,Self-emp-not-inc,29441,7th-8th,4,Married-spouse-absent,Farming-fishing,Unmarried,White,Male,0,0,15,United-States,<=50K -65,Private,195695,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,274502,Some-college,10,Widowed,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -76,?,239900,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,3,United-States,<=50K -22,Private,191954,Assoc-voc,11,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K -33,Private,172304,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -44,Local-gov,174575,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -20,Private,325744,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -43,Private,26252,Some-college,10,Separated,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,36,United-States,<=50K -57,Private,176904,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,504871,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,141702,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -30,Private,399088,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -32,Local-gov,409282,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,532969,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,White,Male,0,0,40,Nicaragua,<=50K -21,?,213366,Some-college,10,Never-married,?,Own-child,White,Female,0,0,38,United-States,<=50K -36,Private,188888,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,24126,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,Self-emp-not-inc,151369,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,30,United-States,>50K -18,Private,115759,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -59,Self-emp-inc,171355,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,0,0,55,United-States,<=50K -18,Private,310175,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -44,Private,216116,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,Jamaica,<=50K -23,Private,204141,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,212894,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Greece,<=50K -49,Private,120121,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K -59,Self-emp-not-inc,190997,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,36,United-States,<=50K -36,Private,224566,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,99999,0,45,United-States,>50K -30,Private,235847,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -56,?,124319,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -27,Private,193807,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1741,40,United-States,<=50K -69,Self-emp-not-inc,215926,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -19,?,455665,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,44,United-States,<=50K -36,Private,36423,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,<=50K -42,Private,32878,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,42,United-States,>50K -25,Private,96862,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,2174,0,40,United-States,<=50K -17,Private,187879,9th,5,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -40,Local-gov,36296,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -40,Private,75615,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,43,United-States,<=50K -17,Private,168807,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -24,State-gov,161783,Bachelors,13,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,?,<=50K -40,State-gov,13492,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Amer-Indian-Eskimo,Male,0,0,84,United-States,<=50K -65,Private,119769,HS-grad,9,Widowed,Priv-house-serv,Unmarried,Black,Female,0,0,20,United-States,<=50K -38,Private,313914,Bachelors,13,Separated,Farming-fishing,Unmarried,White,Female,0,0,45,United-States,<=50K -33,Private,172584,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,1590,50,United-States,<=50K -28,Private,112425,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,157783,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,35,Vietnam,<=50K -34,Private,356882,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,156852,Assoc-voc,11,Widowed,Tech-support,Unmarried,White,Female,0,0,8,United-States,<=50K -63,Self-emp-not-inc,175177,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -28,Private,425127,9th,5,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,35,United-States,<=50K -30,Local-gov,99761,Assoc-voc,11,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,272950,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -43,Self-emp-not-inc,174295,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -24,Local-gov,157678,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Female,2036,0,42,United-States,<=50K -52,Private,186224,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,142587,11th,7,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K -46,Private,131091,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -43,Self-emp-not-inc,71269,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -54,Private,311551,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,<=50K -22,Self-emp-inc,171041,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,140915,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,60,South,<=50K -46,Private,41223,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -46,Self-emp-inc,292569,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,65,United-States,>50K -44,Private,132921,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K -59,Self-emp-inc,177271,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,84,United-States,>50K -58,Self-emp-inc,314482,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Private,310531,10th,6,Separated,Handlers-cleaners,Unmarried,Black,Male,0,0,40,United-States,<=50K -29,Private,145490,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,181200,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,1564,40,United-States,>50K -29,Private,152951,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,Canada,>50K -40,Private,85668,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -30,Private,316606,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,2339,50,United-States,<=50K -38,Private,220694,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -24,Private,408585,7th-8th,4,Married-civ-spouse,Farming-fishing,Own-child,White,Female,0,0,45,Mexico,<=50K -42,Federal-gov,36699,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,104280,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -29,Private,97254,11th,7,Never-married,Sales,Not-in-family,Amer-Indian-Eskimo,Male,4101,0,40,United-States,<=50K -35,Private,186420,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -44,Private,112482,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -54,Private,317733,Doctorate,16,Widowed,Tech-support,Unmarried,White,Male,0,2472,40,United-States,>50K -56,Private,235136,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Dominican-Republic,<=50K -29,Private,229729,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -66,Private,46677,Some-college,10,Widowed,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -48,Federal-gov,277946,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -46,Private,263727,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -32,Private,74501,Masters,14,Never-married,Sales,Own-child,White,Female,0,0,50,United-States,<=50K -34,Private,143776,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,45,?,>50K -69,Private,179130,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,38,United-States,<=50K -23,State-gov,386568,Some-college,10,Separated,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -22,Private,413110,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,15,United-States,<=50K -45,Private,72618,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -45,Private,102288,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,321851,Assoc-voc,11,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,180871,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -25,Private,124483,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,50,India,<=50K -43,Private,72791,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,5178,0,40,United-States,>50K -47,State-gov,263215,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,80,United-States,<=50K -34,Local-gov,207668,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,41,United-States,>50K -30,Private,198953,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -48,Private,38819,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,75,United-States,<=50K -43,Private,107306,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,55,Canada,<=50K -20,Private,161962,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K -83,Private,192305,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,20,United-States,<=50K -42,Private,449925,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K -42,Local-gov,131167,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -30,Local-gov,268482,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -34,State-gov,103642,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,1651,40,United-States,<=50K -43,Private,201723,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,186224,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K -39,Self-emp-not-inc,139703,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,48,United-States,>50K -33,Private,397995,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,259323,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -18,State-gov,427515,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K -21,?,187937,Some-college,10,Never-married,?,Other-relative,White,Female,0,0,52,United-States,<=50K -34,Private,177437,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -32,Private,162442,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -48,Private,83407,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -61,?,265201,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,14,United-States,<=50K -19,Private,109005,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -55,Local-gov,56915,HS-grad,9,Divorced,Exec-managerial,Unmarried,Amer-Indian-Eskimo,Male,0,0,8,United-States,<=50K -37,Private,210830,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K -24,Private,194848,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,109351,Assoc-voc,11,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,105813,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3908,0,72,United-States,<=50K -32,Private,123430,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K -44,Private,105896,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K -35,Self-emp-not-inc,135020,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Germany,<=50K -27,Private,136077,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,<=50K -18,Private,151463,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -43,Private,73333,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,2174,0,40,United-States,<=50K -51,Local-gov,43705,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,54,United-States,>50K -26,Private,320465,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -23,Private,237811,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,Trinadad&Tobago,<=50K -41,State-gov,190910,HS-grad,9,Married-civ-spouse,Farming-fishing,Other-relative,White,Male,0,0,40,United-States,<=50K -33,Self-emp-inc,348326,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,163287,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,62,United-States,<=50K -31,Private,97723,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -56,State-gov,160383,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K -39,Federal-gov,263690,Masters,14,Married-civ-spouse,Other-service,Husband,Black,Male,3137,0,40,Trinadad&Tobago,<=50K -42,Private,278926,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,189017,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,87546,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -23,Local-gov,145112,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,43,United-States,<=50K -55,Private,107308,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -79,Local-gov,132668,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K -47,Private,175600,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,176608,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -37,Private,217054,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Local-gov,244813,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,77373,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -41,Private,135823,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,174864,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,45,United-States,>50K -45,Private,121676,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,>50K -38,Private,108140,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -46,Private,185041,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -47,Self-emp-inc,144579,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,90,United-States,<=50K -26,Private,143280,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -41,Private,242804,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -48,Private,156926,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -55,Self-emp-inc,103948,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -28,Private,249720,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,203635,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,65,United-States,>50K -31,Private,136721,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,114865,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -23,Private,166517,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,96219,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K -48,Private,236197,12th,8,Widowed,Handlers-cleaners,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Guatemala,<=50K -39,Private,357118,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,1974,40,United-States,<=50K -25,Private,193787,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,45,United-States,<=50K -27,Private,607658,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -64,Local-gov,47298,Doctorate,16,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K -55,Local-gov,258121,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -46,Private,411037,10th,6,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -23,Private,228724,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -28,Private,179008,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K -37,Private,422933,Masters,14,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,>50K -27,Private,32452,Masters,14,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K -35,Private,54363,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -35,Private,113397,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,Japan,<=50K -45,Private,159080,HS-grad,9,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -59,State-gov,354948,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K -31,Private,162572,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K -35,Private,108140,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Private,126104,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,65,United-States,<=50K -41,Private,145522,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -20,Private,61777,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -39,Private,139057,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,38,India,<=50K -31,Private,113129,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,202062,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Male,0,0,40,United-States,<=50K -34,Private,31341,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,196125,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -33,Private,44559,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -33,Self-emp-not-inc,202153,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,40,United-States,<=50K -35,Private,238980,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Self-emp-not-inc,156873,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,32805,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -68,Self-emp-not-inc,273088,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,10,United-States,<=50K -43,Self-emp-not-inc,241055,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,157028,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -35,Local-gov,304252,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -57,Private,106910,Assoc-voc,11,Divorced,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,Outlying-US(Guam-USVI-etc),<=50K -57,Private,127728,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,>50K -37,State-gov,178876,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -18,Private,78181,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -21,?,212661,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -29,Private,288229,HS-grad,9,Married-civ-spouse,Tech-support,Wife,Asian-Pac-Islander,Female,4386,0,45,United-States,>50K -24,Private,205883,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,Local-gov,268205,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,52,United-States,<=50K -23,Private,113735,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,0,0,20,United-States,<=50K -36,Private,390243,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -52,Private,137984,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,160785,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -18,Private,86150,HS-grad,9,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Female,0,0,15,United-States,<=50K -32,Private,244268,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,48,United-States,<=50K -34,Self-emp-inc,177828,HS-grad,9,Divorced,Sales,Unmarried,White,Male,0,0,50,United-States,>50K -29,Private,337953,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,36,United-States,<=50K -56,Self-emp-not-inc,254711,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -60,Private,127084,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -19,Private,156618,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,1602,20,United-States,<=50K -30,Private,201697,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -50,Self-emp-not-inc,187830,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,27828,0,16,United-States,>50K -52,Private,240612,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,Peru,>50K -66,Self-emp-not-inc,190160,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -28,Private,109001,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Local-gov,297322,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -29,Private,335015,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -50,Private,174964,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -34,Federal-gov,408813,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,>50K -37,Private,115332,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,<=50K -29,Local-gov,170482,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,2057,40,United-States,<=50K -34,Private,113688,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,34,United-States,<=50K -27,Private,133770,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,2202,0,52,Philippines,<=50K -57,Private,161964,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,34572,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,>50K -21,Private,198259,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,30,United-States,<=50K -73,?,144872,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,Canada,<=50K -57,Private,161944,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,60,United-States,>50K -51,Private,29887,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Male,0,1590,40,United-States,<=50K -37,Federal-gov,238980,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,42,United-States,<=50K -42,Private,275677,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,24529,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,5178,0,60,United-States,>50K -51,Self-emp-not-inc,311631,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -19,Private,105460,9th,5,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -24,Private,374763,11th,7,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -25,Private,242136,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -31,Private,112115,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Self-emp-inc,77132,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Canada,>50K -81,?,26711,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,2936,0,20,United-States,<=50K -60,Private,117909,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -39,Private,229647,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,1669,40,United-States,<=50K -38,Private,149347,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -43,Local-gov,23157,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -23,Private,93977,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -73,Self-emp-inc,159691,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,176967,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -66,Private,344436,HS-grad,9,Widowed,Sales,Other-relative,White,Female,0,0,8,United-States,<=50K -27,Private,430340,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -40,Private,202168,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,55,United-States,>50K -51,Private,82720,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,269623,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -64,Self-emp-not-inc,136405,HS-grad,9,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,32,United-States,<=50K -50,Local-gov,139347,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,?,>50K -55,Private,224655,HS-grad,9,Separated,Priv-house-serv,Not-in-family,White,Female,0,0,32,United-States,<=50K -38,Private,247547,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -58,Private,292710,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,36,United-States,<=50K -32,Private,173449,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,285570,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,89686,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -31,Private,440129,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,350977,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -48,Local-gov,349230,Masters,14,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,245211,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,215419,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K -64,?,321403,HS-grad,9,Widowed,?,Other-relative,Black,Male,0,0,40,United-States,<=50K -38,Private,374983,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -44,Private,83891,Bachelors,13,Divorced,Adm-clerical,Own-child,Asian-Pac-Islander,Male,5455,0,40,United-States,<=50K -35,Self-emp-inc,182148,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -39,State-gov,77516,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,2174,0,40,United-States,<=50K -50,Self-emp-not-inc,83311,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,13,United-States,<=50K -38,Private,215646,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,234721,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -28,Private,338409,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,Cuba,<=50K -37,Private,284582,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -49,Private,160187,9th,5,Married-spouse-absent,Other-service,Not-in-family,Black,Female,0,0,16,Jamaica,<=50K -52,Self-emp-not-inc,209642,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -31,Private,45781,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,14084,0,50,United-States,>50K -42,Private,159449,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K -37,Private,280464,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,80,United-States,>50K -30,State-gov,141297,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -23,Private,122272,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -32,Private,205019,Assoc-acdm,12,Never-married,Sales,Not-in-family,Black,Male,0,0,50,United-States,<=50K -40,Private,121772,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K -34,Private,245487,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,45,Mexico,<=50K -25,Self-emp-not-inc,176756,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,35,United-States,<=50K -32,Private,186824,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -38,Private,28887,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -43,Self-emp-not-inc,292175,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,>50K -40,Private,193524,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -54,Private,302146,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -35,Federal-gov,76845,9th,5,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K -43,Private,117037,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2042,40,United-States,<=50K -59,Private,109015,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -56,Local-gov,216851,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -19,Private,168294,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -54,?,180211,Some-college,10,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,60,South,>50K -39,Private,367260,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,80,United-States,<=50K -49,Private,193366,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Local-gov,190709,Assoc-acdm,12,Never-married,Protective-serv,Not-in-family,White,Male,0,0,52,United-States,<=50K -20,Private,266015,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,44,United-States,<=50K -45,Private,386940,Bachelors,13,Divorced,Exec-managerial,Own-child,White,Male,0,1408,40,United-States,<=50K -30,Federal-gov,59951,Some-college,10,Married-civ-spouse,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -22,State-gov,311512,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,15,United-States,<=50K -48,Private,242406,11th,7,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,Puerto-Rico,<=50K -21,Private,197200,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,544091,HS-grad,9,Married-AF-spouse,Adm-clerical,Wife,White,Female,0,0,25,United-States,<=50K -31,Private,84154,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,38,?,>50K -48,Self-emp-not-inc,265477,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,507875,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,<=50K -53,Self-emp-not-inc,88506,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,172987,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -49,Private,94638,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,289980,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,35,United-States,<=50K -57,Federal-gov,337895,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -53,Private,144361,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,<=50K -44,Private,128354,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -41,State-gov,101603,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,271466,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,43,United-States,<=50K -25,Private,32275,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Other,Female,0,0,40,United-States,<=50K -18,Private,226956,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,?,<=50K -47,Private,51835,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,60,Honduras,>50K -50,Federal-gov,251585,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K -47,Self-emp-inc,109832,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -43,Private,237993,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -46,Private,216666,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -35,Private,56352,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -41,Private,147372,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,<=50K -30,Private,188146,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5013,0,40,United-States,<=50K -30,Private,59496,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,2407,0,40,United-States,<=50K -32,?,293936,7th-8th,4,Married-spouse-absent,?,Not-in-family,White,Male,0,0,40,?,<=50K -48,Private,149640,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,116632,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -29,Private,105598,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,58,United-States,<=50K -36,Private,155537,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,183175,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Private,169846,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -49,Self-emp-inc,191681,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -25,?,200681,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,101509,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,32,United-States,<=50K -31,Private,309974,Bachelors,13,Separated,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K -29,Self-emp-not-inc,162298,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -23,Private,211678,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -79,Private,124744,Some-college,10,Married-civ-spouse,Prof-specialty,Other-relative,White,Male,0,0,20,United-States,<=50K -27,Private,213921,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,Mexico,<=50K -40,Private,32214,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -67,?,212759,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,<=50K -18,Private,309634,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,22,United-States,<=50K -31,Local-gov,125927,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,446839,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -52,Private,276515,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Cuba,<=50K -46,Private,51618,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -59,Private,159937,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -44,Private,343591,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,14344,0,40,United-States,>50K -53,Private,346253,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -49,Local-gov,268234,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -33,Private,202051,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,54334,9th,5,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Federal-gov,410867,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -57,Private,249977,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,286730,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,212563,Some-college,10,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,25,United-States,<=50K -30,Private,117747,HS-grad,9,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,1573,35,?,<=50K -34,Local-gov,226296,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -29,Local-gov,115585,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -48,Self-emp-not-inc,191277,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,60,United-States,>50K -37,Private,202683,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K -48,Private,171095,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,England,<=50K -32,Federal-gov,249409,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -76,Private,124191,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -44,Private,198282,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -47,Self-emp-not-inc,149116,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -20,Private,188300,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,103432,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Self-emp-inc,317660,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -17,?,304873,10th,6,Never-married,?,Own-child,White,Female,34095,0,32,United-States,<=50K -30,Private,194901,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -31,Local-gov,189265,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,124692,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,432376,Bachelors,13,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -38,Private,65324,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -56,Self-emp-not-inc,335605,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,1887,50,Canada,>50K -28,Private,377869,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,4064,0,25,United-States,<=50K -36,Private,102864,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -53,Private,95647,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -56,Self-emp-inc,303090,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -49,Local-gov,197371,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -55,Private,247552,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,56,United-States,<=50K -22,Private,102632,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,41,United-States,<=50K -21,Private,199915,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,118853,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -30,Private,77143,Bachelors,13,Never-married,Exec-managerial,Own-child,Black,Male,0,0,40,Germany,<=50K -29,State-gov,267989,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -19,Private,301606,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K -47,Private,287828,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -20,Private,111697,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,1719,28,United-States,<=50K -31,Private,114937,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -35,?,129305,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,365739,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,69621,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -24,Private,43323,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,1762,40,United-States,<=50K -38,Self-emp-not-inc,120985,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,35,United-States,<=50K -37,Private,254202,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,146195,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,Black,Female,0,0,36,United-States,<=50K -38,Federal-gov,125933,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Iran,>50K -43,Self-emp-not-inc,56920,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -27,Private,163127,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K -20,Private,34310,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -49,Private,81973,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -61,Self-emp-inc,66614,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,232782,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,316868,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,Mexico,<=50K -45,Private,196584,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,1564,40,United-States,>50K -70,Private,105376,Some-college,10,Never-married,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K -31,Private,185814,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Female,0,0,30,United-States,<=50K -22,Private,175374,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,24,United-States,<=50K -36,Private,108293,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K -64,Private,181232,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2179,40,United-States,<=50K -43,?,174662,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Local-gov,186009,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,Mexico,<=50K -34,Private,198183,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,163003,Bachelors,13,Never-married,Exec-managerial,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -21,Private,296158,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -52,?,252903,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,45,United-States,>50K -48,Private,187715,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K -23,Private,214542,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -71,Self-emp-not-inc,494223,Some-college,10,Separated,Sales,Unmarried,Black,Male,0,1816,2,United-States,<=50K -29,Private,191535,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -42,Private,228456,Bachelors,13,Separated,Other-service,Other-relative,Black,Male,0,0,50,United-States,<=50K -68,?,38317,1st-4th,2,Divorced,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -25,Private,252752,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Self-emp-inc,78374,Masters,14,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -28,Private,88419,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,England,<=50K -45,Self-emp-not-inc,201080,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -36,Private,207157,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -39,Federal-gov,235485,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K -46,State-gov,102628,Masters,14,Widowed,Protective-serv,Unmarried,White,Male,0,0,40,United-States,<=50K -18,Private,25828,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K -66,Local-gov,54826,Assoc-voc,11,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -27,Private,124953,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,1980,40,United-States,<=50K -28,State-gov,175325,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,96062,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K -27,Private,428030,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -28,State-gov,149624,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -27,Private,253814,HS-grad,9,Married-spouse-absent,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K -21,Private,312956,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -34,Private,483777,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -18,Private,183930,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K -33,Private,37274,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,<=50K -44,Local-gov,181344,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,38,United-States,>50K -43,Private,114580,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,633742,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,45,United-States,<=50K -40,Private,286370,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,>50K -37,Federal-gov,29054,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,42,United-States,>50K -34,Private,304030,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,143129,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,?,135105,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,50,United-States,<=50K -31,Private,99928,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,<=50K -58,State-gov,109567,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,1,United-States,>50K -38,Private,155222,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,28,United-States,<=50K -24,Private,159567,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -41,Local-gov,523910,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -47,Private,120939,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K -41,Federal-gov,130760,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,24,United-States,<=50K -23,Private,197387,5th-6th,3,Married-civ-spouse,Transport-moving,Other-relative,White,Male,0,0,40,Mexico,<=50K -36,Private,99374,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Federal-gov,56795,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,14084,0,55,United-States,>50K -35,Private,138992,Masters,14,Married-civ-spouse,Prof-specialty,Other-relative,White,Male,7298,0,40,United-States,>50K -24,Self-emp-not-inc,32921,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,397317,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1876,40,United-States,<=50K -19,?,170653,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,Italy,<=50K -51,Private,259323,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -42,Local-gov,254817,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,1340,40,United-States,<=50K -37,State-gov,48211,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -18,Private,140164,11th,7,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,128757,Bachelors,13,Married-civ-spouse,Other-service,Husband,Black,Male,7298,0,36,United-States,>50K -35,Private,36270,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -58,Self-emp-inc,210563,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,15024,0,35,United-States,>50K -17,Private,65368,11th,7,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K -44,Local-gov,160943,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -37,Private,208358,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -35,Private,153790,Some-college,10,Never-married,Sales,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -60,Private,85815,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -54,Self-emp-inc,125417,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -37,Private,635913,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,60,United-States,>50K -50,Private,313321,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,182609,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Poland,<=50K -45,Private,109434,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -25,Private,255004,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,197860,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -64,?,187656,1st-4th,2,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -90,Private,51744,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,2206,40,United-States,<=50K -54,Private,176681,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,20,United-States,<=50K -53,Local-gov,140359,Preschool,1,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,35,United-States,<=50K -18,Private,243313,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -60,?,24215,10th,6,Divorced,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,10,United-States,<=50K -66,Self-emp-not-inc,167687,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,1409,0,50,United-States,<=50K -75,Private,314209,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,Columbia,<=50K -65,Private,176796,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,538583,11th,7,Separated,Transport-moving,Not-in-family,Black,Male,3674,0,40,United-States,<=50K -41,Private,130408,HS-grad,9,Divorced,Sales,Unmarried,Black,Female,0,0,38,United-States,<=50K -25,Private,159732,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,42,United-States,<=50K -33,Private,110978,Some-college,10,Divorced,Craft-repair,Other-relative,Other,Female,0,0,40,United-States,<=50K -28,Private,76714,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K -59,State-gov,268700,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -40,State-gov,170525,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -41,Private,180138,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Iran,>50K -38,Local-gov,115076,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -23,Private,115458,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,347890,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -41,Self-emp-not-inc,196001,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,20,United-States,<=50K -24,State-gov,273905,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K -20,?,119156,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -38,Private,179488,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,1741,40,United-States,<=50K -56,Private,203580,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,?,<=50K -58,Private,236596,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -32,Private,183916,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,34,United-States,<=50K -40,Private,207578,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,60,United-States,>50K -45,Private,153141,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,?,<=50K -41,Private,112763,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -42,Private,390781,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -59,Local-gov,171328,10th,6,Widowed,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -19,Local-gov,27382,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -58,Private,259014,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,20,United-States,<=50K -42,Self-emp-not-inc,303044,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,>50K -20,Private,117789,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -32,Private,172579,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -45,Private,187666,Assoc-voc,11,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -50,Private,204518,7th-8th,4,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,150042,Bachelors,13,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -45,Private,98092,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -17,Private,245918,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K -59,Private,146013,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K -26,Private,378322,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Self-emp-inc,257295,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,75,Thailand,>50K -19,?,218956,Some-college,10,Never-married,?,Own-child,White,Male,0,0,24,Canada,<=50K -64,Private,21174,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -33,Private,185480,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -33,Private,222205,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,>50K -61,Private,69867,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -17,Private,191260,9th,5,Never-married,Other-service,Own-child,White,Male,1055,0,24,United-States,<=50K -50,Self-emp-not-inc,30653,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,2407,0,98,United-States,<=50K -27,Local-gov,209109,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K -30,Private,70377,HS-grad,9,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -43,Private,477983,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -44,Private,170924,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -35,Private,190174,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,193787,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,279472,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,7298,0,48,United-States,>50K -22,Private,34918,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,15,Germany,<=50K -42,Local-gov,97688,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -34,Private,175413,Assoc-acdm,12,Divorced,Sales,Unmarried,Black,Female,0,0,45,United-States,<=50K -60,Private,173960,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,42,United-States,<=50K -21,Private,205759,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -57,Federal-gov,425161,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -41,Private,220531,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -50,Private,176609,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -25,Private,371987,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,193884,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Ecuador,<=50K -36,Private,200352,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -31,Private,127595,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Local-gov,220419,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Male,0,0,56,United-States,<=50K -21,Private,231931,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K -27,Private,248402,Bachelors,13,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -65,Private,111095,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,16,United-States,<=50K -37,Self-emp-inc,57424,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -39,?,157443,Masters,14,Married-civ-spouse,?,Wife,Asian-Pac-Islander,Female,3464,0,40,?,<=50K -24,Private,278130,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,169469,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,80,United-States,<=50K -48,Private,146268,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,40,United-States,>50K -21,Private,153718,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,25,United-States,<=50K -31,Private,217460,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -55,Private,238638,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4386,0,40,United-States,>50K -24,Private,303296,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,Laos,<=50K -43,Private,173321,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,193945,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -46,Private,83082,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,33,United-States,<=50K -35,Private,193815,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -41,Self-emp-inc,34987,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,54,United-States,>50K -26,Private,59306,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,142897,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,7298,0,35,Taiwan,>50K -19,?,860348,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,25,United-States,<=50K -36,Self-emp-not-inc,205607,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,>50K -22,Private,199698,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -24,Private,191954,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -77,Self-emp-not-inc,138714,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,399087,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Other-relative,White,Female,0,0,40,Mexico,<=50K -29,Private,423158,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,Private,159841,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -39,Self-emp-not-inc,174308,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,50356,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,50,United-States,<=50K -35,Private,186110,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -29,Private,200381,11th,7,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -76,Self-emp-not-inc,174309,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,10,United-States,<=50K -63,Self-emp-not-inc,78383,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -23,?,211601,Assoc-voc,11,Never-married,?,Own-child,Black,Female,0,0,15,United-States,<=50K -43,Private,187728,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,50,United-States,>50K -58,Self-emp-not-inc,321171,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -66,Private,127921,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,2050,0,55,United-States,<=50K -41,Private,206565,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,45,United-States,<=50K -26,Private,224563,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,178686,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Local-gov,98545,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,242606,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,270942,5th-6th,3,Never-married,Other-service,Other-relative,White,Male,0,0,48,Mexico,<=50K -30,Private,94235,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -49,Private,71195,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -19,Private,104112,HS-grad,9,Never-married,Sales,Unmarried,Black,Male,0,0,30,Haiti,<=50K -45,Private,261192,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -26,Private,94936,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,296478,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -36,State-gov,119272,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,40,United-States,>50K -33,Private,85043,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,20,United-States,<=50K -22,State-gov,293364,Some-college,10,Never-married,Protective-serv,Own-child,Black,Female,0,0,40,United-States,<=50K -43,Self-emp-not-inc,241895,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K -67,?,36135,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -30,?,151989,Assoc-voc,11,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -56,Private,101128,Assoc-acdm,12,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,25,Iran,<=50K -31,Private,156464,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,25,United-States,<=50K -33,Private,117963,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -26,Private,192262,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,111363,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -46,Local-gov,329752,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -59,?,372020,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -38,Federal-gov,95432,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -65,Private,161400,11th,7,Widowed,Other-service,Unmarried,Other,Male,0,0,40,United-States,<=50K -40,Private,96129,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -42,Private,111949,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K -26,Self-emp-not-inc,117125,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K -36,Private,348022,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,0,0,24,United-States,<=50K -62,Private,270092,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -43,Private,180609,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -43,Private,174575,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,1564,45,United-States,>50K -22,Private,410439,HS-grad,9,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K -28,Private,92262,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -56,Self-emp-not-inc,183081,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -22,Private,362589,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K -57,Private,212448,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K -39,Private,481060,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Federal-gov,185885,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,15,United-States,<=50K -17,Private,89821,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K -40,State-gov,184018,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,>50K -45,Private,256649,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -44,Private,160323,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -20,Local-gov,350845,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -33,Private,267404,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,<=50K -23,Private,35633,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,80914,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K -38,Private,172927,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -54,Private,174319,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,214955,5th-6th,3,Divorced,Craft-repair,Not-in-family,White,Female,0,2339,45,United-States,<=50K -25,Private,344991,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,108699,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Local-gov,117312,Some-college,10,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,40,United-States,<=50K -23,Private,396099,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -29,Private,134152,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,162028,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,2415,6,United-States,>50K -19,Private,25429,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K -19,Private,232392,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -35,Private,220098,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K -27,Private,301302,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -46,Self-emp-not-inc,277946,Assoc-acdm,12,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,State-gov,98101,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,45,?,>50K -34,Private,196164,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -44,Private,115562,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,96975,Some-college,10,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -20,?,137300,HS-grad,9,Never-married,?,Other-relative,White,Female,0,0,35,United-States,<=50K -25,Private,86872,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -52,Self-emp-inc,132178,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -20,Private,416103,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,108574,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,State-gov,288353,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -34,Private,227689,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,64,United-States,<=50K -28,Private,166481,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,Other,Male,0,2179,40,Puerto-Rico,<=50K -41,Private,445382,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,65,United-States,>50K -28,Private,110145,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,317253,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K -28,?,123147,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,1887,40,United-States,>50K -32,Private,364657,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -41,Local-gov,42346,Some-college,10,Divorced,Other-service,Not-in-family,Black,Female,0,0,24,United-States,<=50K -24,Private,241951,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -33,Private,118500,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Private,188386,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -31,State-gov,1033222,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,92440,12th,8,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K -52,Private,190762,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -30,Private,426017,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,19,United-States,<=50K -34,Local-gov,243867,11th,7,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -34,State-gov,240283,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,61777,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -17,Private,175024,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,2176,0,18,United-States,<=50K -32,State-gov,92003,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -29,Private,188401,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,228528,10th,6,Never-married,Craft-repair,Unmarried,White,Female,0,0,35,United-States,<=50K -25,Private,133373,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -36,Federal-gov,255191,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,1408,40,United-States,<=50K -23,Private,204653,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,72,Dominican-Republic,<=50K -63,Self-emp-inc,222289,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -47,Local-gov,287480,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -80,?,107762,HS-grad,9,Widowed,?,Not-in-family,White,Male,0,0,24,United-States,<=50K -17,?,202521,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,204116,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,2174,0,40,United-States,<=50K -30,Private,29662,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,United-States,>50K -27,Private,116358,Some-college,10,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,1980,40,Philippines,<=50K -33,Private,208405,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -34,Local-gov,284843,HS-grad,9,Never-married,Farming-fishing,Not-in-family,Black,Male,594,0,60,United-States,<=50K -34,Local-gov,117018,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,81281,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -42,Local-gov,340148,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -29,Private,363425,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,45857,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,28,United-States,<=50K -24,Federal-gov,191073,HS-grad,9,Never-married,Armed-Forces,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,116632,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -27,Private,405855,9th,5,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K -20,Private,298227,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K -44,Private,290521,HS-grad,9,Widowed,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -51,Private,56915,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -20,Private,146538,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -17,?,258872,11th,7,Never-married,?,Own-child,White,Female,0,0,5,United-States,<=50K -19,Private,206399,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -45,Self-emp-inc,197332,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -60,Private,245062,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Private,197583,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,?,>50K -44,Self-emp-not-inc,234885,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -40,Private,72887,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -30,Private,180374,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -38,Private,351299,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,<=50K -23,Private,54012,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -32,?,115745,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,116632,Assoc-acdm,12,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -54,Local-gov,288825,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -32,Private,132601,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -50,Private,193374,1st-4th,2,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -24,Private,170070,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,20,United-States,<=50K -37,Private,126708,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,60,United-States,<=50K -52,Private,35598,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -38,Private,33983,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,192776,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K -30,Private,118551,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,16,United-States,>50K -60,Private,201965,Some-college,10,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,>50K -22,?,139883,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,285020,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,303990,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -67,Private,49401,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -46,Private,279196,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,211870,9th,5,Never-married,Other-service,Not-in-family,White,Male,0,0,6,United-States,<=50K -22,Private,281432,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -27,Private,161155,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,197904,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -33,Private,111746,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Portugal,<=50K -43,Self-emp-not-inc,170721,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -28,State-gov,70100,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -41,Private,193626,HS-grad,9,Married-spouse-absent,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -52,?,271749,12th,8,Never-married,?,Other-relative,Black,Male,594,0,40,United-States,<=50K -25,Private,189775,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K -63,?,401531,1st-4th,2,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K -59,Local-gov,286967,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -45,Local-gov,164427,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,91039,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K -40,Private,347934,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -46,Federal-gov,371373,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,32220,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -34,Private,187251,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,25,United-States,<=50K -33,Private,178107,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -41,Private,343121,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,36,United-States,<=50K -20,Private,262749,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,403107,5th-6th,3,Never-married,Other-service,Own-child,White,Male,0,0,40,El-Salvador,<=50K -26,Private,64293,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -72,?,303588,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -23,Local-gov,324960,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Poland,<=50K -62,Local-gov,114060,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,48925,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,180980,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,42,France,<=50K -25,Private,181054,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,388093,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -19,Private,249609,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,8,United-States,<=50K -43,Private,112131,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -47,Local-gov,543162,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -39,Private,91996,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,141944,Assoc-voc,11,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,1380,42,United-States,<=50K -53,?,251804,5th-6th,3,Widowed,?,Unmarried,Black,Female,0,0,30,United-States,<=50K -32,Private,37070,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -34,Private,337587,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -28,Private,189346,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -57,?,222216,Assoc-voc,11,Widowed,?,Unmarried,White,Female,0,0,38,United-States,<=50K -25,Private,267044,Some-college,10,Never-married,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K -20,?,214635,Some-college,10,Never-married,?,Own-child,White,Male,0,0,24,United-States,<=50K -21,?,204226,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,35,United-States,<=50K -34,Private,108116,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -38,Self-emp-inc,99146,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,80,United-States,>50K -50,Private,196232,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -24,Local-gov,248344,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,Black,Male,0,0,50,United-States,<=50K -37,Local-gov,186035,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -44,Private,177905,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,58,United-States,>50K -28,Private,85812,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -42,Private,221172,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -74,Private,99183,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,9,United-States,<=50K -38,Self-emp-not-inc,190387,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -44,Self-emp-not-inc,202692,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,109339,11th,7,Divorced,Machine-op-inspct,Unmarried,Other,Female,0,0,46,Puerto-Rico,<=50K -26,Private,108658,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,197202,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -41,Private,101739,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -67,Private,231559,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,48,United-States,>50K -39,Local-gov,207853,12th,8,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -57,Private,190942,1st-4th,2,Widowed,Priv-house-serv,Not-in-family,Black,Female,0,0,30,United-States,<=50K -29,Private,102345,Assoc-voc,11,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Self-emp-inc,41493,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,45,United-States,<=50K -34,?,190027,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -44,Private,210525,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,133937,Doctorate,16,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,237903,Some-college,10,Never-married,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,163862,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,201872,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,84179,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,45,United-States,<=50K -58,Private,51662,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,0,0,8,United-States,<=50K -35,Local-gov,233327,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,259510,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,36,United-States,<=50K -28,Private,184831,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,245724,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -36,Self-emp-not-inc,27053,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -72,Private,205343,11th,7,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,229328,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,United-States,<=50K -33,Federal-gov,319560,Assoc-voc,11,Divorced,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,>50K -69,Private,136218,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,54576,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,323069,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,20,?,<=50K -34,Private,148291,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,32,United-States,<=50K -30,Private,152453,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -28,Private,114053,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K -54,Private,212960,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K -47,Private,264052,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -24,Private,82804,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -52,Self-emp-not-inc,334273,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -20,Private,27337,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,48,United-States,<=50K -43,Self-emp-inc,188436,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,45,United-States,<=50K -45,Private,433665,7th-8th,4,Separated,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -29,Self-emp-not-inc,110663,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -47,Private,87490,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,0,0,42,United-States,<=50K -24,Private,354351,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,95469,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,242718,11th,7,Never-married,Sales,Own-child,White,Male,0,0,12,United-States,<=50K -37,Private,22463,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,40,United-States,>50K -27,Private,158156,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,70,United-States,<=50K -29,Private,350162,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Male,0,0,40,United-States,>50K -18,?,165532,12th,8,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -36,Self-emp-not-inc,28738,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -58,Local-gov,283635,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Self-emp-not-inc,86646,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -65,?,195733,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K -57,Private,69884,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -59,Private,199713,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,181659,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -31,Self-emp-not-inc,340939,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,197747,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K -29,Private,34292,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,<=50K -18,Private,156764,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -52,Private,25826,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,47,United-States,>50K -57,Self-emp-inc,103948,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,80,United-States,<=50K -42,?,137390,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -55,?,105138,HS-grad,9,Married-civ-spouse,?,Wife,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -60,Private,39352,7th-8th,4,Never-married,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,>50K -31,Private,168387,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,Canada,>50K -23,Private,117789,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,267147,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -23,?,99399,Some-college,10,Never-married,?,Unmarried,Amer-Indian-Eskimo,Female,0,0,25,United-States,<=50K -42,Self-emp-not-inc,214242,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K -25,Private,200408,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,2174,0,40,United-States,<=50K -49,Private,136455,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -32,Private,239824,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,217039,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,28,United-States,<=50K -60,Private,51290,7th-8th,4,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Local-gov,175674,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,194404,Assoc-acdm,12,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,45612,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,37,United-States,<=50K -51,Private,410114,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -29,Private,182521,HS-grad,9,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -36,Local-gov,339772,HS-grad,9,Separated,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -17,Private,169658,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,21,United-States,<=50K -52,Private,200853,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,6849,0,60,United-States,<=50K -24,Private,247564,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,249909,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -26,Local-gov,208122,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,1055,0,40,United-States,<=50K -27,Private,109881,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -39,Private,207824,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,60,United-States,<=50K -30,Private,369027,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,45,United-States,<=50K -50,Self-emp-not-inc,114117,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,32,United-States,<=50K -52,Self-emp-inc,51048,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -46,Private,102388,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K -23,Private,190483,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -45,Private,462440,11th,7,Widowed,Other-service,Not-in-family,Black,Female,0,0,20,United-States,<=50K -65,Private,109351,9th,5,Widowed,Priv-house-serv,Unmarried,Black,Female,0,0,24,United-States,<=50K -29,Private,34383,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -47,Private,241832,9th,5,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,0,40,El-Salvador,<=50K -30,Private,124187,HS-grad,9,Never-married,Farming-fishing,Own-child,Black,Male,0,0,60,United-States,<=50K -34,Private,153614,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -38,Self-emp-not-inc,267556,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,64,United-States,<=50K -33,Private,205469,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -49,Private,268090,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,26,United-States,>50K -47,Self-emp-not-inc,165039,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -49,Local-gov,120451,10th,6,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -43,Private,154374,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,60,United-States,>50K -30,Private,103649,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,>50K -58,Self-emp-not-inc,35723,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -19,Private,262601,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,14,United-States,<=50K -21,Private,226181,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,175697,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -47,Self-emp-inc,248145,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,Cuba,<=50K -52,Self-emp-not-inc,289436,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -26,Private,75654,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K -60,Private,199378,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,160968,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,188563,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5178,0,50,United-States,>50K -31,Private,55849,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -50,Self-emp-inc,195322,Doctorate,16,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -31,Local-gov,402089,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -71,Private,78277,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,15,United-States,<=50K -58,?,158611,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K -30,State-gov,169496,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -20,Private,130959,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -24,Private,556660,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Male,4101,0,50,United-States,<=50K -35,Private,292472,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K -38,State-gov,143774,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -27,Private,288341,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,32,United-States,<=50K -29,State-gov,71592,Some-college,10,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -70,?,167358,9th,5,Widowed,?,Unmarried,White,Female,1111,0,15,United-States,<=50K -34,Private,106742,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -44,Private,219288,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -43,Private,174524,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -44,Self-emp-not-inc,335183,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,>50K -35,Private,261293,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -27,Private,111900,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Local-gov,194360,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K -20,Private,81145,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -42,Private,341204,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,8614,0,40,United-States,>50K -27,State-gov,249362,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,3411,0,40,United-States,<=50K -42,Private,247019,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -20,?,114746,11th,7,Married-spouse-absent,?,Own-child,Asian-Pac-Islander,Female,0,1762,40,South,<=50K -24,Private,172146,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,1721,40,United-States,<=50K -48,Federal-gov,110457,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,?,80077,11th,7,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -17,Self-emp-not-inc,368700,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,10,United-States,<=50K -33,Private,182556,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -50,Self-emp-inc,219420,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -22,Private,240817,HS-grad,9,Never-married,Sales,Own-child,White,Female,2597,0,40,United-States,<=50K -17,Private,102726,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -32,Private,226267,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K -31,Private,125457,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -58,Self-emp-not-inc,204021,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Local-gov,92262,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,48,United-States,<=50K -37,Private,161141,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,>50K -34,Self-emp-not-inc,190290,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -23,Local-gov,430828,Some-college,10,Separated,Exec-managerial,Unmarried,Black,Male,0,0,40,United-States,<=50K -18,State-gov,59342,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,5,United-States,<=50K -34,Private,136721,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -66,?,149422,7th-8th,4,Never-married,?,Not-in-family,White,Male,0,0,4,United-States,<=50K -45,Local-gov,86644,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,55,United-States,<=50K -41,Private,195124,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,35,Dominican-Republic,<=50K -26,Private,167350,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K -54,Local-gov,113000,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,140027,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,45,United-States,<=50K -42,Private,262425,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -20,Private,316702,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -23,State-gov,335453,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,20,United-States,<=50K -25,?,202480,Assoc-acdm,12,Never-married,?,Other-relative,White,Male,0,0,45,United-States,<=50K -35,Private,203628,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K -31,Private,118710,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,1902,40,United-States,>50K -30,Private,189620,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,Poland,<=50K -19,Private,475028,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -36,Local-gov,110866,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -31,Private,243605,Bachelors,13,Widowed,Sales,Unmarried,White,Female,0,1380,40,Cuba,<=50K -21,Private,163870,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -31,Self-emp-not-inc,80145,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,295566,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Female,25236,0,65,United-States,>50K -44,Private,63042,Bachelors,13,Divorced,Exec-managerial,Own-child,White,Female,0,0,50,United-States,>50K -40,Private,229148,12th,8,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,Jamaica,<=50K -45,Private,242552,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K -60,Private,177665,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -18,Private,208103,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,25,United-States,<=50K -28,Private,296450,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,70282,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,Private,271767,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,?,<=50K -40,Private,144995,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,4386,0,40,United-States,<=50K -36,Local-gov,382635,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,Honduras,<=50K -31,Private,295697,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -33,Private,194141,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -19,State-gov,378418,HS-grad,9,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,214399,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -34,Private,217460,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -33,Private,182556,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,125831,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,60,United-States,<=50K -29,Private,271328,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,4650,0,40,United-States,<=50K -50,Local-gov,50459,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K -42,Private,162140,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,45,United-States,>50K -43,Private,177937,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,?,>50K -44,Private,111502,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -20,Private,299047,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -31,Private,223212,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -65,Self-emp-not-inc,118474,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,9386,0,59,?,>50K -23,Private,352139,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -55,Private,173093,Some-college,10,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -26,Private,181655,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,2377,45,United-States,<=50K -25,Private,332702,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -45,?,51164,Some-college,10,Married-civ-spouse,?,Wife,Black,Female,0,0,40,United-States,<=50K -35,Private,234901,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2407,0,40,United-States,<=50K -36,Private,131414,Some-college,10,Never-married,Sales,Not-in-family,Black,Female,0,0,36,United-States,<=50K -43,State-gov,260960,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -56,Private,156052,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,594,0,20,United-States,<=50K -42,Private,279914,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -19,Private,192453,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,25,United-States,<=50K -55,Self-emp-not-inc,200939,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,72,United-States,<=50K -42,Private,151408,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,14084,0,50,United-States,>50K -26,Private,112847,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -17,Private,316929,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -42,Local-gov,126319,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -55,Private,197422,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,40,United-States,>50K -32,Private,267736,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -29,Private,267034,11th,7,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,Haiti,<=50K -46,State-gov,193047,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,37,United-States,<=50K -29,State-gov,356089,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -22,Private,223515,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Male,0,0,20,United-States,<=50K -58,Self-emp-not-inc,87510,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,145111,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,50,United-States,<=50K -39,Private,48093,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,31757,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,38,United-States,<=50K -54,Private,285854,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -33,Local-gov,120064,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -46,Federal-gov,167381,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -37,Private,103408,HS-grad,9,Never-married,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K -36,Private,101460,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,18,United-States,<=50K -59,Local-gov,420537,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,38,United-States,>50K -34,Local-gov,119411,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Male,0,0,40,Portugal,<=50K -53,Self-emp-inc,128272,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -51,Private,386773,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,>50K -32,Private,283268,10th,6,Separated,Other-service,Unmarried,White,Female,0,0,42,United-States,<=50K -31,State-gov,301526,Some-college,10,Married-spouse-absent,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -22,Private,151790,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,Germany,<=50K -47,Self-emp-not-inc,106252,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -32,Private,188557,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,171114,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,38,United-States,<=50K -37,Private,327323,5th-6th,3,Separated,Farming-fishing,Not-in-family,White,Male,0,0,32,Guatemala,<=50K -31,Private,244147,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,55,United-States,<=50K -37,Private,280282,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,24,United-States,>50K -55,Private,116442,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K -23,Local-gov,282579,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Male,0,0,56,United-States,<=50K -36,Private,51838,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,73585,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K -43,Private,226902,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -54,Private,279129,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,State-gov,146908,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K -28,Private,196690,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,1669,42,United-States,<=50K -40,Private,130760,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -41,Self-emp-not-inc,49572,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -40,Private,237601,Bachelors,13,Never-married,Sales,Not-in-family,Other,Female,0,0,55,United-States,>50K -42,Private,169628,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,38,United-States,<=50K -61,Self-emp-not-inc,36671,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2352,50,United-States,<=50K -18,Private,231193,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,United-States,<=50K -59,?,192130,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K -21,?,149704,HS-grad,9,Never-married,?,Not-in-family,White,Female,1055,0,40,United-States,<=50K -48,Private,102102,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -41,Self-emp-inc,32185,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -18,?,196061,Some-college,10,Never-married,?,Own-child,White,Male,0,0,33,United-States,<=50K -23,Private,211046,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,2463,0,40,United-States,<=50K -60,Private,31577,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -22,Private,162343,Some-college,10,Never-married,Other-service,Other-relative,Black,Male,0,0,20,United-States,<=50K -61,Private,128831,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,316688,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -46,Private,90758,Masters,14,Never-married,Tech-support,Not-in-family,White,Male,0,0,35,United-States,>50K -43,Private,274363,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,England,>50K -43,Private,154538,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,106085,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,1721,30,United-States,<=50K -68,Self-emp-not-inc,315859,11th,7,Never-married,Farming-fishing,Unmarried,White,Male,0,0,20,United-States,<=50K -31,Private,51471,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -17,Private,193830,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -32,Private,231043,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,48,United-States,>50K -50,?,23780,Masters,14,Married-spouse-absent,?,Other-relative,White,Male,0,0,40,United-States,<=50K -33,Private,169879,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,47,United-States,>50K -64,Private,270333,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,Private,138768,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K -30,Private,191571,HS-grad,9,Separated,Other-service,Own-child,White,Female,0,0,36,United-States,<=50K -22,?,219941,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -43,Private,94113,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -22,Private,137510,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -17,Private,32607,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K -47,Self-emp-not-inc,93208,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,75,Italy,<=50K -41,Private,254440,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -56,Private,186556,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -64,Private,169871,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -47,Private,191277,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -48,Private,167159,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -31,Private,171871,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,46,United-States,<=50K -29,Private,154411,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,129227,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,110331,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,60,United-States,<=50K -57,Private,34269,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Male,0,653,42,United-States,>50K -62,Private,174355,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,680390,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,24,United-States,<=50K -43,Private,233130,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,25,United-States,<=50K -24,Self-emp-inc,165474,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -42,?,257780,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -53,Private,194259,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,4386,0,40,United-States,>50K -26,Private,280093,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -73,Self-emp-not-inc,177387,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -72,?,28929,11th,7,Widowed,?,Not-in-family,White,Female,0,0,24,United-States,<=50K -55,Private,105304,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,499233,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,180572,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -24,Private,321435,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -63,Private,86108,HS-grad,9,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,6,United-States,<=50K -17,Private,198124,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -35,Private,135162,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -51,Private,146813,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -62,Local-gov,291175,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,<=50K -55,Private,387569,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,United-States,>50K -43,Private,102895,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Local-gov,33274,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -37,Private,86551,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -39,Private,138192,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,118966,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,18,United-States,<=50K -61,Private,99784,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -26,Private,90980,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,55,United-States,<=50K -46,Self-emp-not-inc,177407,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,96467,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,State-gov,327886,Doctorate,16,Divorced,Prof-specialty,Own-child,White,Male,0,0,50,United-States,>50K -34,Private,111567,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -34,Local-gov,166545,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -59,Private,142182,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -34,Private,188798,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -49,Private,38563,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,56,United-States,>50K -18,Private,216284,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -43,Private,191547,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -48,Private,285335,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -28,Self-emp-inc,142712,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -33,Private,80945,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,309055,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K -21,Private,62339,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,Private,368700,11th,7,Never-married,Sales,Own-child,White,Male,0,0,28,United-States,<=50K -39,Private,176186,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -29,Self-emp-not-inc,266855,Bachelors,13,Separated,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,48087,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -24,Private,121313,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,50,United-States,<=50K -71,Self-emp-not-inc,143437,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,10605,0,40,United-States,>50K -51,Self-emp-not-inc,160724,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,2415,40,China,>50K -55,Private,282753,5th-6th,3,Divorced,Other-service,Unmarried,Black,Male,0,0,25,United-States,<=50K -41,Private,194636,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -23,Private,153044,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,7,United-States,<=50K -38,Private,411797,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,117683,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -19,Private,376540,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -49,Private,72393,9th,5,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,270335,Bachelors,13,Married-civ-spouse,Adm-clerical,Other-relative,White,Male,0,0,40,Philippines,>50K -27,Private,96226,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K -38,Private,95336,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -33,Private,258498,Some-college,10,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,60,United-States,<=50K -63,?,149698,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -23,Private,205865,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,28,United-States,<=50K -33,Self-emp-inc,155781,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,?,<=50K -54,Self-emp-not-inc,406468,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,<=50K -29,Private,177119,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,2174,0,45,United-States,<=50K -48,?,144397,Some-college,10,Divorced,?,Unmarried,Black,Female,0,0,30,United-States,<=50K -35,Self-emp-not-inc,372525,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,164170,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,India,<=50K -37,Private,183800,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -42,Self-emp-not-inc,177307,Prof-school,15,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,>50K -40,Private,170108,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,341995,Some-college,10,Divorced,Sales,Own-child,White,Male,0,0,55,United-States,<=50K -22,Private,226508,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,50,United-States,<=50K -30,Private,87418,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -28,Private,109165,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -63,Local-gov,28856,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,55,United-States,<=50K -51,Self-emp-not-inc,175897,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -22,Private,99697,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -27,?,90270,Assoc-acdm,12,Married-civ-spouse,?,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -35,Private,152375,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -46,Private,171550,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,38,United-States,<=50K -37,Private,211154,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,52,United-States,<=50K -24,Private,202570,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Male,0,0,15,United-States,<=50K -37,Self-emp-not-inc,168496,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K -53,Private,68898,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,93235,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -38,Private,278924,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K -53,Self-emp-not-inc,311020,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -34,Private,175878,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,543028,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K -39,Private,202027,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -43,Private,158926,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,50,South,<=50K -67,Self-emp-inc,76860,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -81,Self-emp-not-inc,136063,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -21,Private,186648,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -23,Private,257509,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K -25,Private,98155,Some-college,10,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -42,Private,274198,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,38,Mexico,<=50K -38,Private,97083,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -64,?,29825,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,5,United-States,<=50K -32,Private,262153,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,214738,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,138022,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -22,Private,91842,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,42,United-States,<=50K -33,Private,373662,1st-4th,2,Married-spouse-absent,Priv-house-serv,Not-in-family,White,Female,0,0,40,Guatemala,<=50K -42,Private,162003,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,55,United-States,<=50K -19,?,52114,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K -51,Local-gov,241843,Preschool,1,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,375871,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Mexico,<=50K -37,Private,186934,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,44,United-States,>50K -37,Private,176900,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,99,United-States,>50K -47,Private,21906,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K -41,Private,132222,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,40,United-States,>50K -33,Private,143653,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -31,Private,111567,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K -31,Private,78602,Assoc-acdm,12,Divorced,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -35,Private,465507,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -38,Self-emp-inc,196373,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -18,Private,293227,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K -20,Private,241752,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -54,Local-gov,166398,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,35,United-States,<=50K -40,Private,184682,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Self-emp-inc,108293,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1977,45,United-States,>50K -43,Private,250802,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K -44,Self-emp-not-inc,325159,Some-college,10,Divorced,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K -44,State-gov,174675,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -43,Private,227065,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,>50K -51,Private,269080,7th-8th,4,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -18,Private,177722,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -51,Private,133461,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,239683,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,?,<=50K -44,Self-emp-inc,398473,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -33,Local-gov,298785,10th,6,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,123424,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -42,Private,176286,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -25,Private,150062,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -32,Private,169240,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,38,United-States,<=50K -32,Private,288273,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,Mexico,<=50K -36,Private,526968,10th,6,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,57066,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,323573,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -35,Self-emp-inc,368825,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -55,Self-emp-not-inc,189721,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -48,Private,164966,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -36,?,94954,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -34,Private,202046,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K -28,Private,161538,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,35,United-States,<=50K -67,Private,105252,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Male,0,2392,40,United-States,>50K -37,Private,200153,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,32185,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,70,United-States,<=50K -25,Private,178326,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,255957,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,4101,0,40,United-States,<=50K -40,State-gov,188693,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -78,Private,182977,HS-grad,9,Widowed,Other-service,Not-in-family,Black,Female,2964,0,40,United-States,<=50K -34,Private,159929,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -49,Private,123207,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,44,United-States,<=50K -22,Private,284317,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,?,184699,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -60,Self-emp-not-inc,154474,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,42,United-States,<=50K -45,Local-gov,318280,HS-grad,9,Widowed,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K -63,Private,254907,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -41,Private,349221,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Female,0,0,35,United-States,<=50K -47,Private,335973,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,126701,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -51,Private,122159,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Female,3325,0,40,United-States,<=50K -46,Private,187370,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1504,40,United-States,<=50K -41,Private,194636,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -50,Self-emp-not-inc,124793,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -47,Private,192835,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -35,Private,290226,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -56,Private,112840,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -45,Private,89325,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -48,Federal-gov,33109,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,58,United-States,>50K -40,Private,82465,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2580,0,40,United-States,<=50K -39,Self-emp-inc,329980,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -20,Private,148294,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,168212,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,65,United-States,>50K -38,State-gov,343642,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -23,Local-gov,115244,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,60,United-States,<=50K -31,Private,162572,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -58,Private,356067,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -66,Private,271567,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -39,Self-emp-inc,180804,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -54,Self-emp-not-inc,123011,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,52,United-States,>50K -26,Private,109186,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Germany,<=50K -51,Private,220537,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,124827,Assoc-voc,11,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,767403,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,40,United-States,>50K -42,Private,118494,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K -38,Private,173208,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K -48,Private,107373,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,26973,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -51,Private,191965,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -22,Private,122346,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,?,117201,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -41,Private,198316,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,Japan,<=50K -48,Local-gov,123075,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -42,Private,209370,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -34,Private,33117,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,129042,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -56,Private,169133,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,Yugoslavia,<=50K -30,Private,201624,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,45,?,<=50K -45,Private,368561,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -48,Private,207848,10th,6,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -48,Self-emp-inc,138370,Masters,14,Married-spouse-absent,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,50,India,<=50K -31,Private,93106,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,State-gov,223515,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,1719,20,United-States,<=50K -27,Private,389713,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,206365,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -76,?,431192,7th-8th,4,Widowed,?,Not-in-family,White,Male,0,0,2,United-States,<=50K -19,?,241616,HS-grad,9,Never-married,?,Unmarried,White,Male,0,2001,40,United-States,<=50K -66,Self-emp-inc,150726,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,1409,0,1,?,<=50K -37,Private,123785,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,75,United-States,<=50K -34,Private,289984,HS-grad,9,Divorced,Priv-house-serv,Unmarried,Black,Female,0,0,30,United-States,<=50K -34,?,164309,11th,7,Married-civ-spouse,?,Wife,White,Female,0,0,8,United-States,<=50K -90,Private,137018,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,137994,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -43,Private,341204,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,167005,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K -24,Private,34446,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,37,United-States,<=50K -28,Private,187160,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,0,0,55,United-States,<=50K -64,?,196288,Assoc-acdm,12,Never-married,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -23,Private,217961,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,74631,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -36,Private,156667,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K -61,Private,125155,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -53,Self-emp-not-inc,263925,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Canada,>50K -30,Private,296453,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K -52,Self-emp-not-inc,44728,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -38,Private,193026,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,Iran,<=50K -32,Private,87643,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,106742,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,75,United-States,<=50K -41,Private,302122,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Local-gov,193960,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -45,Private,185385,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,>50K -43,Self-emp-not-inc,277647,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -61,Private,128848,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3471,0,40,United-States,<=50K -54,Private,377701,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,32,Mexico,<=50K -34,Private,157886,Assoc-acdm,12,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,175958,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,>50K -38,Private,223004,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,199352,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,80,United-States,>50K -36,Private,29984,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,181651,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,117312,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Female,0,0,60,United-States,<=50K -22,Local-gov,34029,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K -38,Private,132879,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K -37,Private,215310,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -48,State-gov,55863,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,46,United-States,>50K -17,Private,220384,11th,7,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K -19,Self-emp-not-inc,36012,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -27,Private,137645,Bachelors,13,Never-married,Sales,Not-in-family,Black,Female,0,1590,40,United-States,<=50K -22,Private,191342,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,50,Taiwan,<=50K -49,Private,31339,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,State-gov,227910,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -43,Private,173728,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Local-gov,167816,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -58,Self-emp-not-inc,81642,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -41,Local-gov,195258,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -31,Private,232475,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,241259,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,118161,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,201954,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K -42,Private,150533,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,52,United-States,>50K -38,Private,412296,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,28,United-States,<=50K -41,Federal-gov,133060,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -44,Self-emp-not-inc,120539,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -31,Private,196025,Doctorate,16,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,60,China,<=50K -34,Private,107793,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,163870,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -22,Self-emp-not-inc,361280,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,20,India,<=50K -62,Private,92178,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -19,?,80710,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -29,Self-emp-inc,260729,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,1977,25,United-States,>50K -43,Private,182254,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -68,?,140282,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -45,Self-emp-inc,149865,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,>50K -39,Self-emp-inc,218184,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1651,40,Mexico,<=50K -41,Private,118619,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,<=50K -34,Self-emp-not-inc,196791,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,25,United-States,>50K -34,Local-gov,167999,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,33,United-States,<=50K -31,Private,51259,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,47,United-States,<=50K -29,Private,131088,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -41,Private,118212,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K -41,Private,293791,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -35,Self-emp-inc,289430,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,Mexico,>50K -33,Private,35378,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,45,United-States,>50K -37,State-gov,60227,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K -69,Private,168139,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -34,Private,290763,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -60,Self-emp-inc,226355,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2415,70,?,>50K -36,Private,51100,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,227644,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -58,Local-gov,205267,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -53,Private,288020,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K -29,Private,140863,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -45,Federal-gov,170915,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,4865,0,40,United-States,<=50K -34,State-gov,50178,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,<=50K -36,Private,112497,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,95244,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K -20,Private,117606,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,89508,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -63,Federal-gov,124244,HS-grad,9,Widowed,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,154374,Some-college,10,Divorced,Other-service,Unmarried,White,Male,0,0,45,United-States,<=50K -28,Private,294936,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -30,Private,347132,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -34,?,181934,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,316672,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -37,Private,189382,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K -42,?,184018,Some-college,10,Divorced,?,Unmarried,White,Male,0,0,40,United-States,<=50K -31,Private,184307,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Jamaica,>50K -46,Self-emp-not-inc,246212,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -35,Federal-gov,250504,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,60,United-States,>50K -27,Private,138705,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,53,United-States,<=50K -41,Private,328447,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Mexico,<=50K -19,Private,194608,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -20,Private,230891,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -59,Federal-gov,212448,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,40,Germany,<=50K -40,Private,214010,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,37,United-States,<=50K -56,Self-emp-not-inc,200235,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,354573,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,44,United-States,>50K -30,Self-emp-inc,205733,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -46,Private,185041,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -61,Self-emp-inc,84409,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -50,Self-emp-inc,293196,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -25,Private,241626,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -40,Private,520586,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,39,United-States,<=50K -24,?,35633,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,?,<=50K -51,Private,302847,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,54,United-States,<=50K -43,State-gov,165309,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,117529,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,54,Mexico,<=50K -46,Private,106092,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -28,State-gov,445824,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -26,Private,227332,Bachelors,13,Never-married,Transport-moving,Unmarried,Asian-Pac-Islander,Male,0,0,40,?,<=50K -20,Private,275691,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,28,United-States,<=50K -44,Private,193459,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,3411,0,40,United-States,<=50K -51,Private,284329,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -33,Private,114691,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -54,Private,96062,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -50,Private,133963,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,40,United-States,>50K -33,Private,178506,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -65,Private,350498,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,10605,0,20,United-States,>50K -22,?,131573,Some-college,10,Never-married,?,Own-child,White,Female,0,0,8,United-States,<=50K -88,Self-emp-not-inc,206291,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,182302,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,241346,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K -50,Private,157043,11th,7,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -25,Private,404616,Masters,14,Married-civ-spouse,Farming-fishing,Not-in-family,White,Male,0,0,99,United-States,>50K -20,Private,411862,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -47,Private,183013,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -58,?,169982,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -22,Private,188544,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -50,State-gov,356619,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K -47,Private,45857,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Local-gov,289886,11th,7,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,45,United-States,<=50K -50,?,146015,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -40,Private,216237,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K -36,Private,416745,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,202952,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,167725,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,?,165637,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -59,Federal-gov,43280,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K -65,Private,118779,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -24,State-gov,191269,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,65,United-States,<=50K -27,Local-gov,247507,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K -51,Private,239155,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,182862,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -39,Private,33886,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -28,Private,444304,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,187161,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -49,Local-gov,116892,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -51,Local-gov,176813,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -59,Private,151616,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -18,Private,240747,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,Dominican-Republic,<=50K -50,Private,75472,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,?,<=50K -45,Federal-gov,320818,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,80,United-States,>50K -30,Local-gov,235271,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -37,Private,166497,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -44,Private,344060,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,>50K -33,Private,221196,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -61,Self-emp-inc,113544,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -61,Local-gov,321117,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,79619,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,42,United-States,>50K -22,?,42004,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -36,Private,135289,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -44,Self-emp-inc,320984,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5178,0,60,United-States,>50K -37,Private,203070,Some-college,10,Separated,Adm-clerical,Own-child,White,Male,0,0,62,United-States,<=50K -31,Private,32406,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,20,United-States,<=50K -54,Private,99185,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K -20,Private,205839,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -63,?,150389,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,>50K -48,Self-emp-not-inc,243631,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,7688,0,40,United-States,>50K -33,?,163003,HS-grad,9,Divorced,?,Not-in-family,Asian-Pac-Islander,Female,0,0,41,China,<=50K -31,Private,231263,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,4650,0,45,United-States,<=50K -38,Private,200818,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -45,Self-emp-not-inc,247379,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -48,Private,349151,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,22154,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,176317,HS-grad,9,Widowed,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -38,Private,22245,Masters,14,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,72,?,>50K -29,Private,236436,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,354078,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -42,Self-emp-not-inc,166813,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -50,Private,358740,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,England,<=50K -75,Self-emp-not-inc,208426,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -46,Private,265266,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -52,Federal-gov,31838,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,175034,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,413297,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -31,Private,106347,11th,7,Separated,Other-service,Not-in-family,Black,Female,0,0,42,United-States,<=50K -23,Private,174754,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -34,Private,441454,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,24,United-States,<=50K -41,Self-emp-not-inc,209344,HS-grad,9,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,40,Cuba,<=50K -31,Private,185732,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -42,Private,65372,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,33975,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -55,Private,326297,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -36,State-gov,194630,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,Self-emp-not-inc,167414,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,59,United-States,>50K -38,Local-gov,165799,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,12,United-States,<=50K -62,Private,192866,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -54,Self-emp-inc,166459,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K -49,Private,148995,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,190040,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -32,Private,209432,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -51,Self-emp-inc,229465,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -48,Self-emp-not-inc,397466,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -30,Private,283767,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,?,<=50K -52,Federal-gov,202452,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K -28,Self-emp-not-inc,218555,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,1762,40,United-States,<=50K -29,Private,128604,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -38,Private,65466,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -57,Private,141326,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -43,Federal-gov,369468,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -37,State-gov,136137,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,236770,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,89534,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,>50K -69,?,195779,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,1,United-States,<=50K -73,Private,29778,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K -22,Self-emp-inc,153516,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -31,Private,163594,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -38,Private,189623,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -50,Self-emp-not-inc,343748,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -37,Private,387430,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,37,United-States,<=50K -44,Local-gov,409505,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,200734,Bachelors,13,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,45,United-States,<=50K -27,Private,115831,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,150296,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Female,0,0,80,United-States,<=50K -25,Private,323545,HS-grad,9,Never-married,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K -20,Private,232577,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Local-gov,152754,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -46,Private,129007,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K -67,Private,171584,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,6514,0,7,United-States,>50K -47,Private,386136,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K -42,Private,342865,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,186785,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,1876,50,United-States,<=50K -42,Federal-gov,158926,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K -65,?,36039,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -21,Private,164019,Some-college,10,Never-married,Farming-fishing,Own-child,Black,Male,0,0,10,United-States,<=50K -50,Private,88926,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,5178,0,40,United-States,>50K -46,Private,188861,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,370119,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -57,Private,182062,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,37238,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -50,Private,421132,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -58,?,178660,12th,8,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -63,Self-emp-not-inc,795830,1st-4th,2,Widowed,Other-service,Unmarried,White,Female,0,0,30,El-Salvador,<=50K -39,Private,278403,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -46,Private,279661,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,35,United-States,<=50K -36,Private,113397,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,280093,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1628,50,United-States,<=50K -21,Private,236696,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,57,United-States,<=50K -41,Private,265266,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -44,Local-gov,34935,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -22,Private,58222,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Federal-gov,301010,Some-college,10,Never-married,Armed-Forces,Not-in-family,Black,Male,0,0,60,United-States,<=50K -29,Private,419721,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,Japan,<=50K -58,Self-emp-inc,186791,Some-college,10,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,40,United-States,>50K -36,Self-emp-not-inc,180686,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,209103,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K -37,Private,32668,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,>50K -29,Private,256956,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,202203,5th-6th,3,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K -43,Private,85995,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -49,Private,125421,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,>50K -45,Federal-gov,283037,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,192932,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,?,244689,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -51,Private,179646,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,509350,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,Canada,>50K -24,Private,96279,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,119098,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -35,?,327120,Assoc-acdm,12,Never-married,?,Not-in-family,White,Male,0,0,55,United-States,<=50K -41,State-gov,144928,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -48,Private,55237,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -61,Local-gov,101265,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,1471,0,35,United-States,<=50K -20,Private,114874,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -27,Private,190525,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -55,Private,121912,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,24,United-States,>50K -39,Private,83893,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -17,?,138507,10th,6,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -47,Private,256522,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,?,<=50K -52,Private,168381,HS-grad,9,Widowed,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,40,India,>50K -24,Private,293579,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -29,Private,285290,11th,7,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -25,Private,188488,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -20,Private,324469,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,275244,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,35,United-States,<=50K -57,Private,265099,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -51,Private,146767,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -33,Private,40681,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,3674,0,16,United-States,<=50K -39,Private,174938,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,240124,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -71,Private,269708,Bachelors,13,Divorced,Tech-support,Own-child,White,Female,2329,0,16,United-States,<=50K -38,State-gov,34180,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -28,State-gov,225904,Prof-school,15,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -57,Private,89392,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,46857,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,State-gov,105363,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,195105,HS-grad,9,Never-married,Sales,Not-in-family,Other,Male,0,0,40,United-States,<=50K -35,Private,184117,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -61,Self-emp-inc,134768,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Germany,>50K -17,?,145886,11th,7,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -36,Private,153078,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,?,>50K -62,?,225652,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,3411,0,50,United-States,<=50K -34,Private,467108,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -32,Self-emp-inc,199765,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,50,United-States,>50K -42,Private,173938,HS-grad,9,Separated,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -39,Private,191161,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,132606,5th-6th,3,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -61,Self-emp-not-inc,30073,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1848,60,United-States,>50K -40,Private,155190,10th,6,Never-married,Craft-repair,Other-relative,Black,Male,0,0,55,United-States,<=50K -31,Private,42900,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,37,United-States,<=50K -36,Private,191161,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -23,Private,181820,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,105974,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,41,United-States,<=50K -52,Private,146378,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -22,Private,103440,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -51,Private,203435,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,Italy,<=50K -31,Federal-gov,168312,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Self-emp-inc,257764,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,171301,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,United-States,<=50K -53,Federal-gov,225339,Some-college,10,Widowed,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -52,Private,152234,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,99999,0,40,Japan,>50K -20,Private,444554,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,403788,Assoc-acdm,12,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -61,?,190997,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K -43,Private,221550,Masters,14,Never-married,Other-service,Not-in-family,White,Female,0,0,30,Poland,<=50K -46,Self-emp-inc,98929,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,<=50K -43,Local-gov,169203,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -41,Private,102332,HS-grad,9,Divorced,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -44,Self-emp-not-inc,230684,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -54,Private,449257,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -65,Private,198766,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,20051,0,40,United-States,>50K -32,Private,97429,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,Canada,<=50K -25,Private,208999,Some-college,10,Separated,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,37072,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -25,Local-gov,163101,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -19,Private,119075,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K -37,Self-emp-not-inc,137314,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -45,Private,127303,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,45,United-States,<=50K -37,Private,349116,HS-grad,9,Never-married,Sales,Not-in-family,Black,Male,0,0,44,United-States,<=50K -40,Self-emp-not-inc,266324,Some-college,10,Divorced,Exec-managerial,Other-relative,White,Male,0,1564,70,Iran,>50K -19,?,194095,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -17,Private,46496,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,5,United-States,<=50K -27,Private,29904,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Local-gov,289403,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,1887,40,?,>50K -59,Private,226922,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,1762,30,United-States,<=50K -19,Federal-gov,234151,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -43,Private,238287,10th,6,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -42,Private,230624,10th,6,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,>50K -54,Private,398212,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,5013,0,40,United-States,<=50K -54,Self-emp-not-inc,114758,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -51,Private,246519,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,2105,0,45,United-States,<=50K -50,Private,137815,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -40,Private,260696,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Private,325007,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,25,United-States,<=50K -50,Private,113176,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,66815,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -42,?,51795,HS-grad,9,Divorced,?,Unmarried,Black,Female,0,0,32,United-States,<=50K -24,Private,241523,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,>50K -30,Private,30226,11th,7,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -39,Local-gov,352628,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,50,United-States,>50K -37,Private,143912,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -33,Private,130021,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,329778,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Self-emp-inc,196945,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,78,Thailand,<=50K -39,Private,24342,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -53,Private,34368,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -52,Self-emp-not-inc,173839,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -28,State-gov,73211,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K -32,Private,86723,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,52,United-States,<=50K -31,Private,179186,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,90,United-States,>50K -31,Private,127610,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -47,Private,115070,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,?,172582,Some-college,10,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K -40,Private,256202,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -40,Private,202872,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,45,United-States,<=50K -41,Private,184102,11th,7,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Federal-gov,130703,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -46,Private,134727,11th,7,Divorced,Machine-op-inspct,Unmarried,Amer-Indian-Eskimo,Male,0,0,43,Germany,<=50K -45,Self-emp-inc,36228,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,4386,0,35,United-States,>50K -39,Private,297847,9th,5,Married-civ-spouse,Other-service,Wife,Black,Female,3411,0,34,United-States,<=50K -19,Private,213644,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Private,173796,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,40,United-States,>50K -49,Private,147322,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Peru,<=50K -59,Private,296253,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,180871,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -18,?,169882,Some-college,10,Never-married,?,Own-child,White,Female,594,0,15,United-States,<=50K -35,State-gov,211115,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K -58,Self-emp-inc,183870,10th,6,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,40,United-States,<=50K -28,Private,441620,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,43,Mexico,<=50K -36,Federal-gov,218542,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -41,Self-emp-not-inc,141327,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K -47,Private,67716,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -50,Self-emp-inc,175339,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,60,United-States,<=50K -61,?,347089,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K -36,Private,336595,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -38,Private,27997,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Self-emp-not-inc,145574,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,1902,60,United-States,>50K -50,Private,30447,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -45,Self-emp-not-inc,256866,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5013,0,40,United-States,<=50K -44,Self-emp-not-inc,120837,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,66,United-States,<=50K -51,Private,185283,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -44,Self-emp-inc,229466,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -25,Private,298225,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -60,Private,185749,11th,7,Widowed,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K -17,?,333100,10th,6,Never-married,?,Own-child,White,Male,1055,0,30,United-States,<=50K -49,Self-emp-inc,125892,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -46,Private,563883,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,60,United-States,>50K -56,Private,311249,HS-grad,9,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,38,United-States,<=50K -25,Private,221757,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,3325,0,45,United-States,<=50K -22,Private,310152,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -76,?,211453,HS-grad,9,Widowed,?,Not-in-family,Black,Female,0,0,2,United-States,<=50K -41,Self-emp-inc,94113,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -48,Self-emp-inc,192945,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -46,Private,161508,10th,6,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -30,Private,177675,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -39,Private,51100,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -40,Private,100584,10th,6,Divorced,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -70,Federal-gov,163003,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -35,Private,67728,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,45,United-States,<=50K -49,Private,101320,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,75,United-States,<=50K -24,Private,42706,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,60,United-States,<=50K -40,Private,228535,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,36,United-States,>50K -61,Private,120939,Prof-school,15,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,5,United-States,>50K -25,Private,98283,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -28,Local-gov,216481,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -69,State-gov,208869,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,11,United-States,<=50K -22,Private,207940,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,36,United-States,<=50K -47,Private,34248,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K -38,Private,83727,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,48,United-States,<=50K -26,Private,183077,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -17,Private,197850,11th,7,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,24,United-States,<=50K -33,Self-emp-not-inc,235271,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -43,Self-emp-not-inc,35236,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Private,255822,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -53,Self-emp-inc,263925,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,99999,0,40,United-States,>50K -26,Private,256263,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,25,United-States,<=50K -43,Local-gov,293535,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -31,Private,209448,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,2105,0,40,Mexico,<=50K -30,Private,57651,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,2001,42,United-States,<=50K -25,Private,174592,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -57,Federal-gov,278763,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,175232,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,>50K -32,Private,402812,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -26,Private,101150,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,41,United-States,<=50K -45,Private,103538,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -53,State-gov,156877,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,15024,0,35,United-States,>50K -27,Private,23940,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -28,Self-emp-inc,210295,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -32,Private,80058,11th,7,Divorced,Sales,Not-in-family,White,Male,0,0,43,United-States,>50K -35,Private,187119,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,1980,65,United-States,<=50K -36,Self-emp-not-inc,105021,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -19,Private,225775,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Self-emp-inc,395831,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,>50K -49,Private,50282,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,3325,0,45,United-States,<=50K -20,Private,32732,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -64,Self-emp-inc,179436,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K -60,?,290593,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,123253,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K -58,State-gov,48433,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,245317,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -20,Private,431745,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,14,United-States,<=50K -42,State-gov,436006,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -25,Private,224943,Some-college,10,Married-spouse-absent,Prof-specialty,Unmarried,Black,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,167990,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,65,United-States,>50K -37,Self-emp-inc,217054,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -66,Self-emp-not-inc,298834,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -59,Self-emp-inc,125000,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,England,>50K -44,Private,123983,Bachelors,13,Divorced,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,China,<=50K -46,Private,155489,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,58,United-States,>50K -59,Private,284834,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,2885,0,30,United-States,<=50K -25,Private,212495,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,1340,40,United-States,<=50K -17,Local-gov,32124,9th,5,Never-married,Other-service,Own-child,Black,Male,0,0,9,United-States,<=50K -47,Local-gov,246891,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -47,State-gov,141483,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,31985,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,170800,Some-college,10,Never-married,Farming-fishing,Own-child,White,Female,0,0,40,United-States,<=50K -26,Local-gov,166295,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,2339,55,United-States,<=50K -20,Private,231286,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,15,United-States,<=50K -33,Private,159322,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -48,Private,176026,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,118025,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K -37,Private,26898,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,12,United-States,<=50K -47,Private,232628,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -40,Private,85995,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -48,Private,125421,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K -49,Private,245305,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,42,United-States,>50K -50,Private,73493,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,197058,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,122116,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,75742,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,214731,10th,6,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -35,Private,265954,HS-grad,9,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -26,State-gov,197156,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -62,Private,162245,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1628,70,United-States,<=50K -39,Local-gov,203070,HS-grad,9,Separated,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Local-gov,165695,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -69,?,473040,5th-6th,3,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,168107,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,163494,10th,6,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -38,Private,180342,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,122381,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,50,United-States,>50K -27,Private,148069,10th,6,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,200973,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -17,Private,130806,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K -56,Private,117148,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,213977,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,Private,134768,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,?,>50K -44,Private,139338,12th,8,Divorced,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K -23,Private,315877,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K -41,Self-emp-not-inc,195124,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,?,<=50K -25,Private,352057,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K -21,Private,236684,Some-college,10,Never-married,Other-service,Other-relative,Black,Female,0,0,8,United-States,<=50K -18,Private,208447,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,6,United-States,<=50K -45,Private,149640,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -75,?,111177,Bachelors,13,Widowed,?,Not-in-family,White,Female,25124,0,16,United-States,>50K -51,Private,154342,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -42,Federal-gov,141459,HS-grad,9,Separated,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K -47,Private,111797,Some-college,10,Never-married,Other-service,Not-in-family,Black,Female,0,0,35,Outlying-US(Guam-USVI-etc),<=50K -29,Private,111900,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,78707,11th,7,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -43,Local-gov,160574,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,?,174714,Some-college,10,Never-married,?,Own-child,White,Male,0,0,16,United-States,<=50K -19,?,62534,Bachelors,13,Never-married,?,Own-child,Black,Female,0,0,40,Jamaica,<=50K -44,Private,216907,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,40,United-States,>50K -24,Private,198148,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -19,Private,124265,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -49,?,261059,10th,6,Separated,?,Own-child,White,Male,2176,0,40,United-States,<=50K -52,Private,208137,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,257250,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,52,United-States,<=50K -24,State-gov,147253,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K -32,Local-gov,244268,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -72,?,213255,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,8,United-States,<=50K -26,Private,266912,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -31,Private,169104,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,40,?,<=50K -29,Private,200511,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -39,Private,128715,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,10520,0,40,United-States,>50K -48,Self-emp-not-inc,65535,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -40,Private,103395,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -51,Private,71046,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,45,Scotland,<=50K -28,Self-emp-not-inc,125442,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,169188,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K -23,Private,121471,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,Private,207281,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,16,United-States,<=50K -26,Local-gov,46097,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -20,?,206671,Some-college,10,Never-married,?,Own-child,White,Male,1055,0,50,United-States,<=50K -55,Private,98361,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,?,>50K -38,Self-emp-not-inc,322143,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,10,United-States,<=50K -33,Private,149184,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K -33,Local-gov,119829,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,60,United-States,<=50K -37,Private,910398,Bachelors,13,Never-married,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K -19,Private,176570,11th,7,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,60,United-States,<=50K -24,Private,216129,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -30,Private,27207,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -57,State-gov,68830,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -22,State-gov,178818,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K -57,Private,236944,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K -46,State-gov,273771,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -67,Private,318533,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K -35,?,451940,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -47,Private,102318,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,379350,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,21095,Some-college,10,Divorced,Other-service,Unmarried,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -58,Self-emp-not-inc,211547,12th,8,Divorced,Sales,Not-in-family,White,Female,0,0,52,United-States,<=50K -36,Private,85272,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,>50K -45,Private,46406,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,England,>50K -54,Private,53833,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -26,Private,161007,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -60,Private,53707,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -46,Private,370119,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K -26,Private,310907,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,United-States,<=50K -32,Private,375833,11th,7,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -38,Local-gov,107513,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -48,Self-emp-not-inc,58683,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -44,Self-emp-not-inc,179557,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K -37,Private,70240,HS-grad,9,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -44,Private,147206,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,175548,HS-grad,9,Never-married,Other-service,Not-in-family,Other,Female,0,0,35,United-States,<=50K -61,Self-emp-not-inc,163174,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -51,Private,126010,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,147876,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,15024,0,60,United-States,>50K -45,Private,428350,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,1740,40,United-States,<=50K -36,?,200904,Assoc-acdm,12,Married-civ-spouse,?,Wife,Black,Female,0,0,21,Haiti,<=50K -39,Private,328466,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,2407,0,70,Mexico,<=50K -67,Local-gov,258973,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -40,State-gov,345969,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -27,Private,127796,5th-6th,3,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,35,Mexico,<=50K -37,Private,405723,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -57,Private,175942,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -27,Private,284196,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,89718,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,2202,0,48,United-States,<=50K -34,Self-emp-inc,175761,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -54,Private,206369,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,50,United-States,>50K -52,Private,158993,HS-grad,9,Divorced,Other-service,Other-relative,Black,Female,0,0,38,United-States,<=50K -42,Private,285066,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -48,Private,126754,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -65,State-gov,209280,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,6514,0,35,United-States,>50K -55,Self-emp-not-inc,52888,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,10,United-States,<=50K -71,Self-emp-inc,133821,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K -33,Private,240763,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -30,Private,39054,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,119272,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -59,Private,143372,10th,6,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -19,Private,323421,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -36,Self-emp-not-inc,136028,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -26,Self-emp-not-inc,163189,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -34,Local-gov,202729,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,421871,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -44,Private,120277,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,Italy,>50K -26,?,211798,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Private,198901,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -18,Private,214617,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,16,United-States,<=50K -55,Self-emp-not-inc,179715,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,18,United-States,<=50K -49,Local-gov,107231,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2002,40,United-States,<=50K -44,Private,110355,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -43,Private,184378,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -62,Private,273454,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Cuba,<=50K -44,Private,443040,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -39,?,71701,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Self-emp-inc,160151,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -35,Private,107991,11th,7,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -52,Private,94391,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,99835,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -44,Private,43711,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -43,Private,83756,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K -51,Private,120914,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,2961,0,40,United-States,<=50K -20,Private,180052,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -47,Private,170846,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Italy,>50K -43,Private,37937,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K -64,?,168340,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,?,>50K -24,Private,38455,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Federal-gov,128059,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,420895,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,166744,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,12,United-States,<=50K -26,Private,238768,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K -43,Private,176270,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,60,United-States,>50K -50,Private,140592,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -20,Self-emp-not-inc,211466,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,80,United-States,<=50K -37,Private,188540,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,45,United-States,>50K -43,Private,39581,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,45,United-States,<=50K -37,Private,171150,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K -53,Private,117496,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,0,36,Canada,<=50K -44,Private,145160,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -25,Private,28520,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,103851,11th,7,Never-married,Adm-clerical,Own-child,White,Female,1055,0,20,United-States,<=50K -19,Private,375077,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -53,State-gov,281590,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,40,United-States,>50K -44,Private,151504,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -51,Private,415287,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,1902,40,United-States,>50K -49,Private,32212,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,43,United-States,<=50K -35,Private,123606,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,202565,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -54,Private,177927,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -37,Private,256723,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K -18,Private,46247,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -24,Private,266926,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,112031,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,50,United-States,<=50K -22,?,376277,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -35,Private,168817,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Private,187487,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -32,?,158784,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,67222,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,45,China,<=50K -43,Private,201723,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K -73,Private,267408,HS-grad,9,Widowed,Sales,Other-relative,White,Female,0,0,15,United-States,<=50K -47,Federal-gov,168191,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K -49,Private,105444,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,39,United-States,<=50K -38,Private,156728,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -31,Private,148600,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -39,Private,19914,Some-college,10,Divorced,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -42,Private,190767,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,233955,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,45,China,>50K -35,Private,30381,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -38,Private,187069,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -31,Private,367314,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Local-gov,101119,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,70,United-States,<=50K -38,Private,86551,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,48,United-States,>50K -40,Local-gov,218995,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K -21,Private,57711,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -44,Private,303521,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Private,199067,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -29,Private,247445,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -49,Private,186078,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -31,Private,77634,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,42,United-States,<=50K -24,Private,180060,Masters,14,Never-married,Exec-managerial,Own-child,White,Male,6849,0,90,United-States,<=50K -46,Private,56482,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -26,Private,314177,HS-grad,9,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K -35,Private,239755,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,38,United-States,<=50K -27,Private,377680,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -64,Self-emp-not-inc,134960,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,35,United-States,>50K -26,Private,294493,Bachelors,13,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -21,Private,32616,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,1719,16,United-States,<=50K -45,Private,182655,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,45,?,>50K -57,Local-gov,52267,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,72,United-States,<=50K -30,Private,117963,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -45,Private,98881,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,32,United-States,<=50K -50,Private,196963,7th-8th,4,Divorced,Craft-repair,Not-in-family,White,Female,0,0,30,United-States,<=50K -38,Private,166988,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -43,Self-emp-not-inc,193459,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -42,Private,182342,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -32,Private,496743,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,154781,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,219371,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -45,Private,99179,11th,7,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Private,224910,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,304651,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -37,Private,349689,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -60,Private,106850,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Self-emp-not-inc,196328,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,45,United-States,>50K -25,Private,169323,Bachelors,13,Married-civ-spouse,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,162924,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,60,Japan,<=50K -40,Self-emp-not-inc,34037,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,70,United-States,<=50K -51,?,167651,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,197384,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -42,Private,251795,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -65,?,266081,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,165309,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,215873,10th,6,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,45,United-States,<=50K -46,Private,133938,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,27828,0,50,United-States,>50K -49,Private,159816,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,99999,0,20,United-States,>50K -24,Private,228424,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K -32,Private,195576,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -71,Private,105200,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,6767,0,20,United-States,<=50K -26,Private,167350,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,3103,0,40,United-States,>50K -29,Private,52199,HS-grad,9,Married-spouse-absent,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,171338,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K -51,Private,120173,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,50,United-States,>50K -17,?,158762,10th,6,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -49,Private,169818,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,>50K -31,Private,288419,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,207546,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -59,Local-gov,147707,HS-grad,9,Widowed,Farming-fishing,Unmarried,White,Male,0,2339,40,United-States,<=50K -17,?,228373,10th,6,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -43,Private,193882,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -38,Private,31033,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K -37,Private,272950,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,183523,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,238415,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -31,Private,19302,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,2202,0,38,United-States,<=50K -42,Local-gov,339671,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,8614,0,45,United-States,>50K -35,Local-gov,103260,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K -39,Private,79331,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,15024,0,40,United-States,>50K -40,Private,135056,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -66,Private,142723,5th-6th,3,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K -30,Federal-gov,188569,9th,5,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,57322,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,178309,9th,5,Never-married,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K -45,Private,166107,Masters,14,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -31,Private,53042,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,Trinadad&Tobago,<=50K -33,Private,155343,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3103,0,40,United-States,>50K -32,Private,35595,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,429507,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -50,Federal-gov,159670,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -63,Private,151210,7th-8th,4,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,186792,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,204640,Some-college,10,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -52,Private,87205,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -38,Self-emp-inc,112847,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -41,Private,107306,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,2174,0,40,United-States,<=50K -50,State-gov,211319,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K -59,Private,183606,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,205390,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,49,United-States,<=50K -73,Local-gov,232871,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,2228,0,10,United-States,<=50K -52,Self-emp-inc,101017,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,38,United-States,<=50K -57,Private,114495,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -35,Private,183898,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K -51,Private,163921,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,56,United-States,>50K -22,Private,311764,11th,7,Widowed,Sales,Own-child,Black,Female,0,0,35,United-States,<=50K -49,Private,188330,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -22,Private,267174,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -46,Local-gov,36228,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,<=50K -48,Private,199739,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Private,185407,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K -43,State-gov,206139,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -25,Private,282063,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -31,Private,332379,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,418324,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,36,United-States,<=50K -19,?,263338,Some-college,10,Never-married,?,Own-child,White,Male,0,0,45,United-States,<=50K -51,Private,158948,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,84,United-States,>50K -51,Private,221532,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,>50K -22,Self-emp-not-inc,202920,HS-grad,9,Never-married,Prof-specialty,Unmarried,White,Female,99999,0,40,Dominican-Republic,>50K -37,Local-gov,118909,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K -19,Private,286469,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -45,Private,191914,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Female,0,0,55,United-States,<=50K -21,State-gov,142766,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K -52,Private,198744,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Local-gov,272780,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,24,United-States,<=50K -42,State-gov,219553,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K -56,Private,261232,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,64292,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Private,312131,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -70,Private,30713,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -30,Private,246439,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -45,Private,338105,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -23,Private,228243,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K -34,Local-gov,62463,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1579,40,United-States,<=50K -38,Private,31603,Bachelors,13,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,<=50K -24,Private,165054,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,121618,7th-8th,4,Never-married,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -45,Federal-gov,273194,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,3325,0,40,United-States,<=50K -21,?,163665,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -21,Private,538319,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,Puerto-Rico,<=50K -34,Private,238246,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Self-emp-inc,244665,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,45,United-States,>50K -21,Private,131811,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -63,?,231777,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -23,Private,156807,9th,5,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,36,United-States,<=50K -28,Private,236861,Bachelors,13,Divorced,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -29,Self-emp-not-inc,229842,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Male,0,0,45,United-States,<=50K -25,Local-gov,190057,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -44,State-gov,55076,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -18,Private,152545,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,8,United-States,<=50K -26,Private,153434,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K -47,Local-gov,171095,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K -23,Private,239322,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,138999,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -61,Local-gov,95450,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,50,United-States,>50K -25,Private,176520,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -38,Local-gov,72338,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,54,United-States,>50K -60,?,386261,Bachelors,13,Married-spouse-absent,?,Unmarried,Black,Female,0,0,15,United-States,<=50K -23,Private,235722,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -36,Federal-gov,128884,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,48,United-States,<=50K -46,Private,187226,9th,5,Divorced,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K -32,Self-emp-not-inc,298332,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -40,Private,173607,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,226756,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -31,Private,157887,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -32,State-gov,171111,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,37,United-States,<=50K -21,Private,126314,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K -63,Private,174018,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K -44,Private,144778,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K -42,Self-emp-not-inc,201522,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -23,?,22966,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K -30,Private,399088,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -24,Private,282202,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,El-Salvador,<=50K -42,Private,102606,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -44,Self-emp-not-inc,246862,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,Italy,>50K -27,Federal-gov,508336,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,48,United-States,<=50K -27,Local-gov,263431,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -22,Private,235733,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K -68,Private,107910,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Self-emp-not-inc,184425,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,>50K -22,Self-emp-not-inc,143062,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,Greece,<=50K -25,Private,199545,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,15,United-States,<=50K -68,Self-emp-not-inc,197015,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -62,Private,149617,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,16,United-States,<=50K -26,Private,33610,HS-grad,9,Divorced,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -34,Private,192002,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -68,Private,67791,Some-college,10,Widowed,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Local-gov,445382,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K -45,Private,112283,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -26,Private,157249,11th,7,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,109872,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -23,Private,119838,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,United-States,<=50K -29,Private,149943,Some-college,10,Never-married,Other-service,Not-in-family,Other,Male,0,1590,40,?,<=50K -65,Without-pay,27012,7th-8th,4,Widowed,Farming-fishing,Unmarried,White,Female,0,0,50,United-States,<=50K -31,Private,91666,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -26,Private,270276,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,179271,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -44,Private,161819,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -45,Local-gov,339681,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,1506,0,45,United-States,<=50K -26,Self-emp-not-inc,219897,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -26,Private,91683,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K -36,Private,188834,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,187046,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -39,Private,191807,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,48,United-States,<=50K -52,Self-emp-inc,179951,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,324420,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Mexico,<=50K -41,Self-emp-not-inc,66632,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Local-gov,121718,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,United-States,>50K -47,Private,162034,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K -28,Local-gov,218990,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,46,United-States,<=50K -25,Local-gov,125863,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K -35,Private,225330,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,120426,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,119741,Masters,14,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -44,Private,32000,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,18,United-States,>50K -21,?,124242,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,278581,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,230224,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K -30,Private,204374,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1741,48,United-States,<=50K -45,Private,188386,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1628,45,United-States,<=50K -20,Private,164922,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -57,Private,195176,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,80,United-States,<=50K -43,Private,166740,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,<=50K -50,?,156008,11th,7,Married-civ-spouse,?,Own-child,Black,Female,0,0,40,United-States,<=50K -28,Private,162551,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Female,0,0,48,China,<=50K -25,Private,211231,HS-grad,9,Married-civ-spouse,Tech-support,Other-relative,White,Female,0,0,48,United-States,>50K -25,Private,169990,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -90,Private,221832,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -38,Local-gov,255454,Bachelors,13,Separated,Prof-specialty,Unmarried,Black,Male,0,0,40,United-States,<=50K -35,Private,28160,Bachelors,13,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -50,State-gov,159219,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Canada,>50K -26,Local-gov,103148,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,165186,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -56,Private,31782,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -24,Local-gov,249101,HS-grad,9,Divorced,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K -46,Private,243190,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,40,United-States,>50K -18,Local-gov,153405,11th,7,Never-married,Adm-clerical,Other-relative,White,Female,0,0,25,United-States,<=50K -37,Private,329980,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,60,United-States,>50K -57,Private,176079,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,State-gov,218542,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -29,State-gov,303446,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,Nicaragua,<=50K -40,Private,102606,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -44,Self-emp-not-inc,483201,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -77,Local-gov,144608,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,6,United-States,<=50K -30,Private,226013,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -21,Private,165475,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -66,Private,263637,10th,6,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,201495,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,35,United-States,<=50K -68,Private,213720,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -64,Private,170483,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -26,Private,214303,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -32,Private,190511,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -32,Private,242150,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,38,United-States,<=50K -51,Local-gov,159755,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -50,Private,147629,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K -49,Private,268022,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -28,Private,188711,Bachelors,13,Never-married,Transport-moving,Unmarried,White,Male,0,0,20,United-States,<=50K -29,Private,452205,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K -21,Private,260847,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -28,Private,291374,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -55,Private,189933,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,133969,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,50,South,>50K -35,Private,330664,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,?,672412,11th,7,Separated,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K -26,Private,122999,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,8614,0,40,United-States,>50K -30,Private,111415,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,55,Germany,<=50K -33,Private,217235,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -40,Private,121956,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,13550,0,40,Cambodia,>50K -23,Private,120172,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,343403,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Self-emp-not-inc,104790,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -39,Local-gov,473547,10th,6,Divorced,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -53,Local-gov,260106,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -49,Federal-gov,168232,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -31,Private,348491,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -36,Private,24106,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K -60,Self-emp-inc,197553,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -29,Private,421065,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,48,United-States,<=50K -54,Self-emp-inc,138852,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -28,?,169631,Assoc-acdm,12,Married-AF-spouse,?,Wife,White,Female,0,0,3,United-States,<=50K -34,Private,379412,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,181992,Some-college,10,Never-married,Sales,Not-in-family,Black,Female,0,0,35,United-States,<=50K -19,Private,365640,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,45,?,<=50K -26,Private,236564,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,363418,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,70,United-States,>50K -50,Private,112351,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,38,United-States,<=50K -30,Private,204704,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,>50K -44,Private,54611,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -49,Private,128132,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -75,Self-emp-not-inc,30599,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -37,Private,379522,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -51,State-gov,196504,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,38,United-States,<=50K -35,Private,82552,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K -28,Private,104024,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -66,Self-emp-not-inc,293114,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,1409,0,40,United-States,<=50K -72,Private,74141,9th,5,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,48,United-States,>50K -39,Private,192337,Bachelors,13,Separated,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -27,Private,262478,HS-grad,9,Never-married,Farming-fishing,Own-child,Black,Male,0,0,30,United-States,<=50K -57,Private,185072,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,Jamaica,<=50K -24,Private,296045,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,2635,0,38,United-States,<=50K -28,Private,246595,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,70,United-States,<=50K -23,Private,54472,Some-college,10,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -31,Private,331065,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,1408,40,United-States,<=50K -23,Private,161708,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -31,Private,264936,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Local-gov,113545,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,212237,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1740,45,United-States,<=50K -31,Private,170430,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,80,?,<=50K -34,Private,173806,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,4865,0,60,United-States,<=50K -57,Federal-gov,370890,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,2258,40,United-States,<=50K -39,Private,505119,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Cuba,>50K -23,Private,193089,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -24,Local-gov,33432,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -36,Private,103110,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,England,<=50K -32,Private,160362,Some-college,10,Divorced,Other-service,Other-relative,White,Male,0,0,40,Nicaragua,<=50K -35,Private,204621,Assoc-acdm,12,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,35309,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -23,?,154373,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,50,United-States,<=50K -47,Private,194772,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -35,Private,154410,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Federal-gov,220563,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -32,State-gov,253354,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,211699,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1485,40,United-States,>50K -63,Self-emp-not-inc,167501,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,20051,0,10,United-States,>50K -34,Private,229732,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,185465,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -27,Private,335764,11th,7,Married-civ-spouse,Sales,Own-child,Black,Male,0,0,35,United-States,<=50K -23,Private,460046,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,42,United-States,<=50K -19,?,33487,Some-college,10,Never-married,?,Other-relative,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -50,Private,176924,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K -49,State-gov,213307,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,83893,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -23,Private,194102,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -61,Private,238611,7th-8th,4,Widowed,Other-service,Unmarried,Black,Female,0,0,38,United-States,<=50K -41,Private,113597,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,16,United-States,<=50K -27,Self-emp-not-inc,208406,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -53,Private,274528,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,<=50K -17,Self-emp-not-inc,60116,10th,6,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K -23,?,196816,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -53,Private,166368,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,303954,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,42,United-States,>50K -24,Private,99386,Bachelors,13,Married-spouse-absent,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,188569,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -53,Private,302868,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -18,Private,283342,11th,7,Never-married,Other-service,Other-relative,Black,Male,0,0,20,United-States,<=50K -24,Private,233777,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,50,Mexico,<=50K -20,Private,170038,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Local-gov,261319,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -37,State-gov,367237,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,8614,0,40,United-States,>50K -34,Private,126838,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,354104,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -20,Private,176321,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K -47,Private,85129,HS-grad,9,Divorced,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -20,?,376474,Some-college,10,Never-married,?,Own-child,White,Male,0,0,32,United-States,<=50K -22,Private,62507,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -42,Local-gov,111252,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K -60,Private,156889,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,549430,HS-grad,9,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,40,Mexico,<=50K -46,Private,29696,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -66,Private,98837,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,86150,Bachelors,13,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,30,United-States,>50K -34,Private,204991,Some-college,10,Divorced,Exec-managerial,Own-child,White,Male,0,0,44,United-States,<=50K -45,Private,371886,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,46,United-States,<=50K -35,Private,103605,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -63,?,54851,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -51,Local-gov,133050,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -36,Local-gov,126569,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -25,Federal-gov,144259,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -51,Private,161482,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K -25,Self-emp-not-inc,305449,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,125010,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,45,United-States,<=50K -47,Private,304133,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -59,Local-gov,120617,HS-grad,9,Separated,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,Private,157747,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Private,297396,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,60,United-States,<=50K -42,Private,121287,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -28,?,308493,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,17,Honduras,<=50K -37,Private,49115,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -51,Self-emp-inc,208302,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,38,United-States,>50K -25,Private,304032,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,36,United-States,<=50K -31,Federal-gov,207301,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -37,Private,123211,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,44,United-States,>50K -42,Private,33521,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -29,?,410351,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,410034,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -51,Private,175339,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,47,United-States,>50K -22,?,27937,Some-college,10,Never-married,?,Own-child,White,Male,0,0,36,United-States,<=50K -49,Private,168211,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,40,United-States,>50K -26,Private,125680,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,16,Japan,<=50K -56,Local-gov,160829,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,46,United-States,<=50K -52,Private,266529,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -61,Self-emp-not-inc,115023,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,4,?,<=50K -47,State-gov,224149,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -52,Private,150930,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,343699,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Self-emp-inc,172826,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,99999,0,55,United-States,>50K -35,Private,163392,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -17,?,103810,12th,8,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,213821,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -26,Private,211265,Some-college,10,Married-spouse-absent,Craft-repair,Other-relative,Black,Female,0,0,35,Dominican-Republic,<=50K -58,Local-gov,160586,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -66,Private,146454,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5556,0,40,United-States,>50K -30,Private,203277,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K -46,Private,309895,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,26522,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1902,35,United-States,>50K -57,Private,103809,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,90291,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -21,State-gov,181761,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,10,United-States,<=50K -37,Private,35330,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,1669,55,United-States,<=50K -45,Local-gov,135776,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -61,?,188172,Doctorate,16,Widowed,?,Not-in-family,White,Female,0,0,5,United-States,<=50K -39,Private,179579,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,193626,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,53,United-States,<=50K -20,Private,108887,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,199070,HS-grad,9,Never-married,Protective-serv,Own-child,Black,Male,0,0,16,United-States,<=50K -25,Private,441591,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,185254,5th-6th,3,Never-married,Priv-house-serv,Own-child,White,Female,0,0,40,El-Salvador,<=50K -24,Private,109307,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K -20,?,81853,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,15,United-States,<=50K -35,Private,23621,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,70,United-States,<=50K -44,Local-gov,145178,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,38,Jamaica,>50K -47,State-gov,30575,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -28,State-gov,130620,11th,7,Separated,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,India,<=50K -41,Local-gov,22155,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,<=50K -31,Private,106437,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,79787,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,25,United-States,<=50K -47,Private,326857,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -44,Private,81853,HS-grad,9,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -61,Private,120933,Some-college,10,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Federal-gov,153143,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,Puerto-Rico,<=50K -46,Private,27669,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K -46,Private,105444,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -54,Local-gov,169785,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K -49,Private,122493,HS-grad,9,Widowed,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K -56,Local-gov,242670,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Private,54933,Masters,14,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -34,Private,209317,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -25,Self-emp-not-inc,282631,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,98044,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -58,Private,187487,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -31,State-gov,60186,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,75648,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -28,Private,201175,11th,7,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -30,Private,19302,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,<=50K -21,?,300812,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -44,Private,146659,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,35,United-States,>50K -75,Private,101887,10th,6,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,70,United-States,<=50K -66,?,117778,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,60726,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -33,Self-emp-inc,201763,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -57,Self-emp-inc,119253,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,65,United-States,>50K -47,Self-emp-not-inc,121124,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,Italy,>50K -41,Private,220132,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -21,Private,60639,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K -17,Private,195262,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,17,United-States,<=50K -61,?,113544,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,55,United-States,<=50K -47,?,331650,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,8,United-States,>50K -22,Private,100587,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,15,United-States,<=50K -47,Private,298130,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,242391,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -32,Self-emp-not-inc,197867,Assoc-voc,11,Divorced,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K -59,Private,151977,10th,6,Separated,Priv-house-serv,Not-in-family,Black,Female,0,0,30,United-States,<=50K -38,Private,277347,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,125249,HS-grad,9,Separated,Protective-serv,Own-child,White,Female,0,0,40,United-States,<=50K -41,Private,222142,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,270194,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,169995,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -27,Private,359155,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -60,Private,123992,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -64,Local-gov,266080,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -37,Private,201531,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -54,Self-emp-not-inc,179704,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -36,Private,393673,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -34,Private,244147,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -41,Self-emp-not-inc,438696,Masters,14,Divorced,Sales,Unmarried,White,Male,0,0,5,United-States,>50K -35,Self-emp-not-inc,207568,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,75,United-States,<=50K -63,Self-emp-inc,54052,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,68,United-States,>50K -46,Private,187581,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,77102,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,353010,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,65,United-States,<=50K -29,Private,54131,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -74,Federal-gov,39890,Some-college,10,Widowed,Transport-moving,Not-in-family,White,Female,0,0,18,United-States,<=50K -50,Private,156877,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K -22,Private,355686,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,300168,12th,8,Separated,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -30,Private,488720,9th,5,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -32,Private,157287,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,184659,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,214169,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -25,Private,192149,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -50,Private,137253,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -44,Private,373050,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -65,Private,90377,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,6767,0,60,United-States,<=50K -28,Federal-gov,183151,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,<=50K -55,Private,227158,Bachelors,13,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Local-gov,34021,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,50,United-States,<=50K -31,Private,165148,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,12,United-States,<=50K -47,Private,211668,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,United-States,>50K -45,Private,358886,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -35,Private,47707,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -34,Self-emp-not-inc,306982,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,60,South,<=50K -49,Local-gov,52590,HS-grad,9,Widowed,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K -39,?,179352,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -27,Private,158156,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,42,United-States,<=50K -42,Private,70055,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -60,?,131852,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K -64,Self-emp-not-inc,177825,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,1055,0,40,United-States,<=50K -33,Private,127215,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K -23,Private,175183,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,142287,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -34,Private,221324,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -53,Private,227602,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,37,Mexico,<=50K -22,Private,228452,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -57,State-gov,39380,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -20,?,96862,Some-college,10,Never-married,?,Own-child,White,Female,0,0,8,United-States,<=50K -23,Private,336360,7th-8th,4,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -31,Private,257644,11th,7,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -23,State-gov,235853,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,22,United-States,<=50K -30,Private,270577,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Local-gov,222900,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -42,Private,99254,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,>50K -51,Private,224763,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Cuba,<=50K -59,Self-emp-not-inc,174056,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -36,Private,127306,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -45,Private,339506,HS-grad,9,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K -35,Private,178322,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Germany,>50K -33,Private,189843,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,160815,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -60,Private,207665,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -37,State-gov,160402,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -35,Private,170263,Some-college,10,Never-married,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,184659,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,52,United-States,<=50K -38,Federal-gov,338320,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -54,Private,101017,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,204322,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -45,Private,241350,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -63,Federal-gov,217994,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,128143,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -58,Self-emp-not-inc,164065,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,18,United-States,<=50K -64,Local-gov,78866,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,236769,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -44,Federal-gov,239539,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -39,Private,34028,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,48,United-States,<=50K -45,State-gov,207847,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,175935,Doctorate,16,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,>50K -22,Federal-gov,218445,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -63,Self-emp-inc,215833,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -26,Private,156976,Assoc-voc,11,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,220647,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -20,Private,218343,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -29,Private,241431,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K -38,Local-gov,123983,Bachelors,13,Never-married,Exec-managerial,Unmarried,Asian-Pac-Islander,Male,0,1741,40,Vietnam,<=50K -25,Private,73289,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,408623,Bachelors,13,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,50,United-States,<=50K -46,Private,169180,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,54929,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -24,Private,306779,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Male,0,0,35,United-States,<=50K -43,Private,159549,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -23,Private,482082,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,21,Mexico,<=50K -32,Local-gov,286101,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Female,0,0,37,United-States,<=50K -44,Private,167955,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Poland,<=50K -40,Self-emp-not-inc,209040,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,105017,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -23,Private,27776,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,242941,Some-college,10,Never-married,Sales,Own-child,White,Female,0,1602,10,United-States,<=50K -41,Private,118853,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,119565,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,196827,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1902,40,United-States,<=50K -47,Private,275361,Assoc-acdm,12,Widowed,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -42,Private,225193,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,329783,10th,6,Never-married,Sales,Other-relative,White,Female,0,0,10,United-States,<=50K -29,Local-gov,107411,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,70,United-States,<=50K -21,State-gov,258490,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -18,?,120243,11th,7,Never-married,?,Own-child,White,Male,0,0,27,United-States,<=50K -31,Private,219509,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,>50K -27,Local-gov,29174,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,40083,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Canada,<=50K -23,Private,87528,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -41,Private,116379,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,55,Taiwan,>50K -46,Local-gov,216214,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -34,Private,268051,Some-college,10,Married-civ-spouse,Protective-serv,Other-relative,Black,Female,0,0,25,Haiti,<=50K -42,Self-emp-not-inc,121718,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,24,United-States,<=50K -18,Private,201901,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,1719,15,United-States,<=50K -46,Private,109089,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,37,United-States,<=50K -18,?,346382,11th,7,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K -52,Private,284129,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -56,Private,143030,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,212619,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -22,Self-emp-not-inc,199011,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,20,United-States,<=50K -31,Private,118901,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -41,Self-emp-not-inc,129865,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K -25,Private,157900,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Self-emp-not-inc,349341,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -45,Private,158685,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,386585,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,60,United-States,<=50K -90,Private,52386,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,35,United-States,<=50K -45,Private,246891,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -30,Private,190385,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K -42,Private,37869,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,217807,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -53,Private,149784,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -64,State-gov,201293,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -56,Private,128764,7th-8th,4,Widowed,Transport-moving,Not-in-family,White,Male,0,0,20,United-States,<=50K -42,Private,27444,Some-college,10,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -26,Private,62438,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -31,Local-gov,151726,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -40,Private,29841,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -58,Private,131608,Some-college,10,Widowed,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,110562,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -58,Self-emp-inc,190541,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,47,United-States,<=50K -62,State-gov,33142,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -65,Self-emp-inc,139272,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,60,United-States,>50K -40,Private,234633,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Local-gov,238386,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -22,Private,460835,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,55,United-States,<=50K -23,?,243190,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,20,China,<=50K -63,Federal-gov,97855,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -39,Private,77146,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K -37,Private,200863,Some-college,10,Widowed,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -25,?,41107,Bachelors,13,Married-spouse-absent,?,Not-in-family,White,Male,0,0,40,Canada,<=50K -56,Private,77415,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,236770,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -53,Federal-gov,173093,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,1887,40,Philippines,>50K -32,Private,235124,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Self-emp-not-inc,282604,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,60,United-States,>50K -35,Private,199288,11th,7,Separated,Transport-moving,Not-in-family,White,Male,0,0,90,United-States,<=50K -51,Private,191659,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,65,United-States,>50K -19,Private,43285,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -41,Private,160837,11th,7,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Guatemala,<=50K -22,Private,230574,10th,6,Never-married,Transport-moving,Own-child,White,Male,0,0,25,United-States,<=50K -23,Private,176178,HS-grad,9,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,116358,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K -27,?,253873,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -45,Private,107787,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,<=50K -23,Self-emp-not-inc,519627,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,25,Mexico,<=50K -21,Private,191460,11th,7,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -44,Private,198282,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -29,Private,214858,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -36,Self-emp-not-inc,64875,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,<=50K -18,Private,675421,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,594,0,40,United-States,<=50K -62,Self-emp-not-inc,134768,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -25,Federal-gov,207342,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -34,Private,64830,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -31,Private,220066,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,14344,0,50,United-States,>50K -37,Private,82521,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -33,Private,176711,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,England,<=50K -22,?,217421,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -28,Private,111900,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -22,?,196943,Some-college,10,Separated,?,Own-child,White,Male,0,0,25,United-States,<=50K -47,Private,481987,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -67,?,184506,11th,7,Married-civ-spouse,?,Husband,White,Male,0,419,3,United-States,<=50K -20,?,121313,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,158420,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -26,Private,256000,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K -36,Private,183892,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,44,United-States,>50K -28,Private,42734,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,181773,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -47,Private,184945,Some-college,10,Separated,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K -33,Private,107248,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -34,Self-emp-inc,215382,Masters,14,Separated,Prof-specialty,Not-in-family,White,Female,4787,0,40,United-States,>50K -25,Private,122999,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,758700,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3781,0,50,Mexico,<=50K -36,State-gov,166606,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -61,Local-gov,192060,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,30,?,<=50K -74,?,340939,9th,5,Married-civ-spouse,?,Husband,White,Male,3471,0,40,United-States,<=50K -57,Private,205708,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Poland,<=50K -55,Private,67450,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,England,<=50K -20,Private,242077,HS-grad,9,Divorced,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K -43,Private,129573,HS-grad,9,Never-married,Sales,Not-in-family,Black,Female,0,0,44,United-States,<=50K -54,Private,181132,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,England,>50K -25,Private,212302,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,83411,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,1408,40,United-States,<=50K -23,?,148751,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -17,Private,317681,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,10,United-States,<=50K -39,?,103986,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,1590,40,United-States,<=50K -63,Private,30602,7th-8th,4,Married-spouse-absent,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -19,Private,172893,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,30,United-States,<=50K -56,Self-emp-inc,211804,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -33,Self-emp-not-inc,312055,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -37,Private,65390,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,200500,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -36,Local-gov,241962,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -30,Self-emp-inc,78530,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,Canada,>50K -22,Private,189950,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K -35,Private,111387,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1579,40,United-States,<=50K -20,Private,241951,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K -18,Private,343059,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,302465,12th,8,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,1741,40,United-States,<=50K -53,Private,156843,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1564,54,United-States,>50K -21,?,79728,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,55284,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -34,Private,509364,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,30,United-States,<=50K -32,State-gov,117927,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -20,Private,137651,Some-college,10,Never-married,Machine-op-inspct,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -70,Private,131060,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K -57,Private,346963,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -54,Private,183611,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,3137,0,50,United-States,<=50K -34,Private,134737,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,36503,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -42,Private,250121,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -45,Private,330535,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,3325,0,40,United-States,<=50K -27,Private,387776,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,41474,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -36,Local-gov,318972,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,65,United-States,<=50K -33,Private,86143,Some-college,10,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -50,Private,181139,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,326232,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,2547,50,United-States,>50K -39,Local-gov,153976,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -55,Self-emp-not-inc,59469,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K -24,Private,127139,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,136343,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,350624,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -66,?,177351,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,2174,40,United-States,>50K -68,Private,166149,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,2206,30,United-States,<=50K -29,Private,121523,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -24,Self-emp-not-inc,267396,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,Private,83045,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,160449,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,>50K -55,Self-emp-inc,124137,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,35,Greece,>50K -20,?,287681,Some-college,10,Never-married,?,Own-child,White,Male,0,0,36,United-States,<=50K -41,Private,154194,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,295127,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K -60,Private,240521,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -61,Self-emp-not-inc,244087,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K -35,Private,356250,Prof-school,15,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,35,China,<=50K -42,State-gov,293791,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -26,Private,44308,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Local-gov,210527,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,State-gov,151763,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,25,United-States,<=50K -39,State-gov,267581,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -20,Private,100188,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,24,United-States,<=50K -32,Self-emp-inc,111746,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,171091,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,355645,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,20,Trinadad&Tobago,<=50K -54,Local-gov,137678,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,70894,Assoc-acdm,12,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -19,Private,171306,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,3,United-States,<=50K -31,Private,100997,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -35,Private,63921,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -29,Private,32897,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -29,Local-gov,251854,HS-grad,9,Never-married,Protective-serv,Not-in-family,Black,Female,0,0,40,United-States,<=50K -25,Private,345121,10th,6,Separated,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -46,Private,86220,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,172845,Assoc-voc,11,Never-married,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -20,Private,171398,10th,6,Never-married,Sales,Not-in-family,Other,Male,0,0,40,United-States,<=50K -24,Self-emp-not-inc,174391,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -48,Private,207058,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,37,United-States,<=50K -37,Private,291251,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -60,Self-emp-not-inc,224377,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,105813,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Local-gov,180916,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -31,Self-emp-not-inc,122749,Assoc-voc,11,Divorced,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -38,Private,31069,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,United-States,>50K -26,Self-emp-not-inc,284343,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -64,Private,319371,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -46,Private,174224,Assoc-voc,11,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K -69,?,183958,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -39,Private,127772,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3103,0,44,United-States,>50K -48,Private,80651,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,55,United-States,<=50K -46,Private,62793,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -42,Private,191712,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,1590,40,United-States,<=50K -39,Self-emp-not-inc,237532,HS-grad,9,Married-civ-spouse,Sales,Wife,Black,Female,0,0,54,Dominican-Republic,>50K -50,Federal-gov,20179,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -24,Private,311376,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,432565,Assoc-voc,11,Married-civ-spouse,Tech-support,Other-relative,White,Female,0,0,40,Canada,>50K -39,Self-emp-inc,329980,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2415,60,United-States,>50K -29,Self-emp-not-inc,125190,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,342946,11th,7,Never-married,Transport-moving,Own-child,White,Female,0,0,38,United-States,<=50K -21,?,219835,Assoc-voc,11,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,123429,10th,6,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -69,Self-emp-inc,69209,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3818,0,30,United-States,<=50K -55,Private,66356,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -41,Private,195897,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -44,Self-emp-inc,153132,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,52,United-States,>50K -18,Private,230875,11th,7,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -74,Self-emp-not-inc,92298,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,10,United-States,<=50K -40,Private,185145,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -27,Private,297296,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -75,?,164849,9th,5,Married-civ-spouse,?,Husband,Black,Male,1409,0,5,United-States,<=50K -55,Private,145214,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Self-emp-not-inc,242341,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -54,Private,240542,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K -36,Private,104772,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,48,United-States,<=50K -76,?,152802,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -26,Private,181666,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -18,Private,415520,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -38,Private,258761,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -50,Private,88842,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,40,United-States,>50K -19,?,356717,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -32,Private,158438,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -57,Private,206206,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -20,Private,51816,HS-grad,9,Never-married,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K -27,Private,253814,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Self-emp-not-inc,161745,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,1980,60,United-States,<=50K -60,Private,162947,5th-6th,3,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Puerto-Rico,<=50K -52,Private,163027,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,50,United-States,<=50K -61,Private,146788,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -57,Self-emp-not-inc,73309,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,>50K -19,?,143867,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -59,Self-emp-not-inc,104216,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K -34,Self-emp-not-inc,345705,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,>50K -31,Private,133770,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,50,United-States,>50K -42,Private,209392,HS-grad,9,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,35,United-States,<=50K -70,Private,262345,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,6,United-States,<=50K -47,Private,277545,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K -47,?,174525,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,3942,0,40,?,<=50K -29,Private,490332,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -27,Private,211570,11th,7,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K -25,Private,374918,12th,8,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -51,Private,106728,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,60,United-States,>50K -28,Private,173649,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,?,<=50K -35,Private,174597,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,233533,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -54,?,169785,Masters,14,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,133169,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,198824,Assoc-voc,11,Separated,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -65,Private,174056,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,188696,Assoc-voc,11,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Local-gov,90692,HS-grad,9,Divorced,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -34,Private,271933,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Female,0,1741,45,United-States,<=50K -47,Self-emp-not-inc,102359,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -49,Federal-gov,213668,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,56,United-States,>50K -21,Private,294789,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -20,Private,157599,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -18,Local-gov,134935,12th,8,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,466224,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,111985,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,264627,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,213427,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,279015,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K -47,Private,165937,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -27,Federal-gov,188343,HS-grad,9,Separated,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -63,Private,158609,Assoc-voc,11,Widowed,Adm-clerical,Unmarried,White,Female,0,0,8,United-States,<=50K -34,Private,193036,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -25,Private,198632,Some-college,10,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -54,Private,175912,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Male,914,0,40,United-States,<=50K -19,?,192773,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -35,Private,101387,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -24,Private,60783,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K -26,Private,183224,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,35,United-States,<=50K -59,Local-gov,100776,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,57600,Doctorate,16,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,40,?,<=50K -20,Private,174063,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -41,Private,306495,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,249741,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,93021,HS-grad,9,Never-married,Adm-clerical,Unmarried,Other,Female,0,0,40,United-States,<=50K -36,Private,49626,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,63062,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K -55,Private,320835,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -22,Local-gov,123727,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,21,United-States,<=50K -58,State-gov,110517,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,4064,0,40,India,<=50K -43,Private,149670,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,4064,0,15,United-States,<=50K -39,Private,172425,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K -40,Private,216116,9th,5,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,Haiti,<=50K -46,Private,174209,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -54,Federal-gov,175083,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -19,Private,129059,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,30,United-States,<=50K -24,Private,121313,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -53,?,181317,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -24,State-gov,166851,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,13,United-States,<=50K -29,Self-emp-not-inc,29616,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,65,United-States,<=50K -56,Self-emp-inc,105582,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -54,?,124993,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -21,?,148509,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -34,Private,230246,9th,5,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K -56,Private,117881,11th,7,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,203408,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -19,Private,446219,10th,6,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -32,Self-emp-inc,110331,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K -48,Private,207946,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,52,United-States,<=50K -67,?,45537,Masters,14,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,>50K -47,Private,188330,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,25,United-States,<=50K -52,Private,147629,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -40,Private,153799,1st-4th,2,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Female,0,0,40,Dominican-Republic,<=50K -28,Private,203776,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,168071,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K -57,Private,348430,1st-4th,2,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,Portugal,<=50K -51,Private,103407,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,?,152046,11th,7,Never-married,?,Not-in-family,White,Female,0,0,35,Germany,<=50K -36,Private,153205,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,45,?,<=50K -33,Private,326104,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -46,Private,238162,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -50,Private,221336,HS-grad,9,Divorced,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -33,Private,180656,Some-college,10,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K -77,Self-emp-not-inc,145329,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,401,0,20,United-States,<=50K -39,Private,315776,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Male,8614,0,52,United-States,>50K -67,?,150516,HS-grad,9,Widowed,?,Unmarried,White,Male,0,0,3,United-States,<=50K -35,Private,325802,Assoc-acdm,12,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,24,United-States,<=50K -23,Private,133985,10th,6,Never-married,Craft-repair,Own-child,Black,Female,0,0,40,United-States,<=50K -37,Private,269329,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,8614,0,45,United-States,>50K -41,Private,183203,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -60,Private,76127,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,>50K -32,Private,195891,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,55,United-States,<=50K -56,Federal-gov,162137,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -45,State-gov,37672,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,161708,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K -18,Private,80616,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,27,United-States,<=50K -31,Private,209276,HS-grad,9,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,United-States,<=50K -21,?,34443,Some-college,10,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K -45,Private,192835,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,55,United-States,>50K -23,Private,203240,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,State-gov,102308,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,40829,11th,7,Never-married,Sales,Other-relative,Amer-Indian-Eskimo,Female,0,0,25,United-States,<=50K -25,Private,60726,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,30,United-States,<=50K -31,State-gov,116677,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,57067,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,45,United-States,<=50K -41,Private,304906,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -74,Private,101590,Prof-school,15,Widowed,Adm-clerical,Not-in-family,Black,Female,0,0,20,United-States,<=50K -27,Private,258102,5th-6th,3,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,Mexico,<=50K -23,Private,241185,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,124827,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -40,Self-emp-inc,76625,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -41,Federal-gov,263339,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -25,Private,135645,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K -42,Private,245626,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K -24,Private,210781,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,235786,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -45,Self-emp-not-inc,160167,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K -52,Federal-gov,30731,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -34,Private,314375,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,81528,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,60,United-States,<=50K -54,Private,182854,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -42,Federal-gov,296798,11th,7,Never-married,Tech-support,Not-in-family,White,Male,0,1340,40,United-States,<=50K -32,Private,194426,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,15024,0,40,United-States,>50K -40,?,70645,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K -55,Self-emp-inc,141807,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -66,?,112871,11th,7,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -52,State-gov,71344,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -21,State-gov,341410,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K -33,Private,118941,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -52,?,159755,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K -28,Private,128509,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,?,<=50K -27,Self-emp-not-inc,229125,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Local-gov,142756,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -27,Self-emp-inc,243871,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,45,United-States,<=50K -47,Private,213140,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -19,Private,196857,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,138626,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,161334,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,25,Nicaragua,<=50K -50,Private,273536,7th-8th,4,Married-civ-spouse,Sales,Husband,Other,Male,0,0,49,Dominican-Republic,<=50K -32,Private,115631,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,4101,0,50,United-States,<=50K -28,Private,185957,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -23,Private,334357,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -43,Private,96102,Masters,14,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -34,Private,213226,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Iran,>50K -19,Private,115248,Some-college,10,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -37,Private,185061,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,55,United-States,<=50K -27,Private,147638,Bachelors,13,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,40,Hong,<=50K -18,Private,280298,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K -31,Private,163516,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,277434,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -26,Federal-gov,206983,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,Columbia,<=50K -48,Private,108993,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -39,Private,288551,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -41,Private,176069,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -48,State-gov,183486,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,56,United-States,>50K -40,Private,163215,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,10520,0,40,United-States,>50K -70,Private,94692,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -20,Private,118462,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,43,United-States,<=50K -38,Private,407068,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,75,Mexico,<=50K -37,Self-emp-not-inc,243587,Some-college,10,Separated,Other-service,Own-child,White,Female,0,0,40,Cuba,<=50K -49,Private,23074,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -51,Private,237735,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3103,0,40,United-States,>50K -43,Private,188291,1st-4th,2,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,284166,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -18,?,423460,11th,7,Never-married,?,Own-child,White,Male,0,0,36,United-States,<=50K -23,Private,287681,7th-8th,4,Never-married,Other-service,Not-in-family,White,Male,0,0,25,Mexico,<=50K -34,Private,509364,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -62,?,139391,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K -33,Private,91964,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -31,Private,117526,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,45,United-States,<=50K -64,Private,91343,Some-college,10,Widowed,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Local-gov,336969,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,28,El-Salvador,<=50K -55,Private,255364,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -61,Local-gov,167670,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,211494,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -78,Local-gov,136198,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,15,United-States,<=50K -27,Federal-gov,409815,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -49,Private,188823,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,42,United-States,<=50K -55,State-gov,146326,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K -42,Private,154374,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,58,United-States,<=50K -22,?,216563,HS-grad,9,Never-married,?,Other-relative,White,Female,0,0,40,United-States,<=50K -61,Private,197286,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -64,Self-emp-not-inc,100722,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,5,United-States,<=50K -46,Local-gov,377622,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,145964,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,358636,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,70,United-States,<=50K -47,Private,155489,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,55,United-States,>50K -18,Private,57413,Some-college,10,Divorced,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -48,Private,320421,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -50,Self-emp-not-inc,174752,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,State-gov,229364,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -56,Self-emp-not-inc,157486,10th,6,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,92682,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,4865,0,40,United-States,<=50K -56,Federal-gov,101338,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,132652,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -21,Private,34616,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -40,Private,218903,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Local-gov,204098,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,50,United-States,<=50K -52,Self-emp-not-inc,64045,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,45,United-States,>50K -46,Private,189763,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -23,Private,26248,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -50,Private,92079,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -19,Private,280071,Some-college,10,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,50,United-States,<=50K -20,Private,224059,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,185520,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,8614,0,40,United-States,>50K -24,Private,265567,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -72,Private,106890,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,State-gov,39586,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K -42,Private,153132,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,45,?,<=50K -51,Private,209912,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K -39,Private,144169,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -40,Local-gov,50442,Some-college,10,Never-married,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,2977,0,35,United-States,<=50K -34,Private,89644,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -19,Private,275889,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,Mexico,<=50K -26,Private,231638,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -45,Local-gov,224474,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,4934,0,50,United-States,>50K -28,Private,355259,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -30,Federal-gov,68330,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -32,Private,185410,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,87653,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -21,Private,286853,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -54,Private,96710,HS-grad,9,Married-civ-spouse,Priv-house-serv,Other-relative,Black,Female,0,0,20,United-States,<=50K -62,Private,160143,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,>50K -25,Private,186925,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,2597,0,48,United-States,<=50K -49,Self-emp-inc,109705,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,32,United-States,<=50K -32,Private,94235,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Private,225279,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,1602,40,?,<=50K -37,Local-gov,297449,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -58,Private,205896,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -37,Private,93717,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,7298,0,45,United-States,>50K -41,Private,194710,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,236391,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -47,State-gov,189123,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,358677,HS-grad,9,Divorced,Other-service,Unmarried,Black,Male,0,0,35,United-States,<=50K -30,State-gov,199539,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,40,United-States,<=50K -43,Private,128170,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -34,Private,231238,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -57,Private,296152,Some-college,10,Divorced,Exec-managerial,Other-relative,White,Female,594,0,10,United-States,<=50K -46,Private,166003,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,281437,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -20,Private,190231,9th,5,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,11,Nicaragua,<=50K -47,Private,122026,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -55,?,205527,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,20,United-States,<=50K -53,Self-emp-not-inc,174102,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,50,Greece,>50K -43,Private,125461,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K -80,Self-emp-not-inc,184335,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -24,Private,211345,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,Mexico,<=50K -43,Local-gov,147328,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K -22,Private,222993,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,225978,Some-college,10,Separated,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -48,Private,121124,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -56,?,656036,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K -34,?,346762,11th,7,Divorced,?,Own-child,White,Male,0,0,84,United-States,<=50K -51,Private,234057,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -24,Federal-gov,306515,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,116562,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -34,Private,171159,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -24,Private,199011,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,443508,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,Canada,>50K -24,Private,29810,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K -22,Local-gov,238831,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -32,Federal-gov,566117,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,255044,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -20,Private,436253,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -31,Private,300687,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -55,Private,144071,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,18,United-States,>50K -49,State-gov,133917,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,1902,60,?,>50K -26,Private,188767,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -27,Self-emp-not-inc,300777,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K -35,Private,26987,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,174395,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,60,Greece,<=50K -59,Private,90290,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,34,United-States,<=50K -61,Private,183735,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -31,Private,123273,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K -43,Federal-gov,186916,Masters,14,Divorced,Protective-serv,Not-in-family,White,Male,0,0,60,United-States,>50K -61,Private,43554,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,2339,40,United-States,<=50K -54,Private,178251,Assoc-acdm,12,Widowed,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -30,Private,255885,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -20,Private,64292,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -27,State-gov,194773,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,Germany,<=50K -44,Self-emp-inc,133060,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,60,United-States,<=50K -64,Private,258006,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,Cuba,<=50K -55,Private,92215,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,33945,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,6849,0,55,United-States,<=50K -61,Private,153048,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -28,Private,192200,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K -34,Private,355571,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -47,Self-emp-inc,139268,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K -26,Private,34402,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -35,Private,25955,11th,7,Never-married,Other-service,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -36,Private,209609,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,<=50K -47,Private,168283,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -17,Private,295488,11th,7,Never-married,Other-service,Own-child,Black,Female,0,0,25,United-States,<=50K -35,Private,190895,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,164190,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -25,Private,216010,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -18,Private,387568,10th,6,Never-married,Sales,Own-child,White,Male,0,0,10,United-States,<=50K -47,State-gov,188386,Masters,14,Separated,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K -44,Private,174491,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -41,Private,31221,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -30,Private,272451,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Self-emp-not-inc,152652,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -53,Private,104413,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -40,Private,105936,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,5013,0,20,United-States,<=50K -24,Private,379066,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,2205,24,United-States,<=50K -27,Private,214858,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,237735,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,37,Mexico,<=50K -36,Private,158592,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,237321,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,>50K -41,Private,23646,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,169240,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Federal-gov,454508,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,130356,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,48,United-States,<=50K -22,Private,427686,10th,6,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -18,Local-gov,36411,12th,8,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K -39,Private,548510,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,30,United-States,<=50K -38,Private,187264,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,<=50K -35,State-gov,140752,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,325596,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,175804,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Private,107302,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -63,Local-gov,41161,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -39,Private,401832,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K -57,Self-emp-not-inc,353808,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -58,Self-emp-inc,349910,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -29,Private,161478,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Japan,<=50K -17,Private,400225,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -40,Private,367533,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -69,Self-emp-not-inc,69306,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,<=50K -28,Private,270366,10th,6,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,103751,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,75227,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,14084,0,40,United-States,>50K -45,Local-gov,132563,Prof-school,15,Divorced,Prof-specialty,Unmarried,Black,Female,0,1726,40,United-States,<=50K -33,State-gov,79580,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -41,Local-gov,344624,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,1485,40,United-States,>50K -37,Self-emp-inc,186359,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7688,0,60,United-States,>50K -50,Private,121685,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -48,Private,75104,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -26,?,188343,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,Private,246449,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -21,Private,85088,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,37,United-States,<=50K -37,Private,545483,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -20,State-gov,243986,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K -54,Self-emp-not-inc,32778,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K -28,Private,369114,HS-grad,9,Separated,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -27,Private,217200,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,149220,Assoc-voc,11,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -46,?,162034,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -28,?,157813,11th,7,Divorced,?,Unmarried,White,Female,0,0,58,Canada,<=50K -17,?,179715,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,335549,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,2444,45,United-States,>50K -47,Private,102308,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -44,Private,367749,1st-4th,2,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,El-Salvador,<=50K -25,Private,98281,12th,8,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,43,United-States,<=50K -35,Private,115792,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -29,Private,277788,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,25,United-States,<=50K -30,Private,103435,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -30,Private,37646,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -56,Self-emp-not-inc,385632,7th-8th,4,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Self-emp-not-inc,210278,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K -28,Private,335357,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,272165,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Local-gov,148995,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K -46,Self-emp-not-inc,113434,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,State-gov,132551,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K -38,Federal-gov,115433,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,33,United-States,>50K -29,Private,227890,HS-grad,9,Never-married,Protective-serv,Other-relative,Black,Male,0,0,40,United-States,<=50K -25,Private,503012,5th-6th,3,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -56,Private,250873,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -31,Private,407930,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,148187,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -31,Private,159322,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -28,Private,334368,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Private,196328,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K -45,Private,270842,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -71,Private,235079,Preschool,1,Widowed,Craft-repair,Unmarried,Black,Male,0,0,10,United-States,<=50K -65,?,327154,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,188391,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,United-States,>50K -19,Federal-gov,30559,HS-grad,9,Married-AF-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -34,Local-gov,255098,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,248010,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -40,Private,174515,HS-grad,9,Married-spouse-absent,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -90,Private,171956,Some-college,10,Separated,Adm-clerical,Own-child,White,Female,0,0,40,Puerto-Rico,<=50K -56,Private,193130,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,16,United-States,<=50K -21,Private,108670,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,186172,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -45,Private,348854,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,27,United-States,<=50K -46,Private,271828,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -64,Private,148606,10th,6,Separated,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -29,Local-gov,123983,Masters,14,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K -22,Private,24896,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,30,Germany,<=50K -47,Private,573583,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,Italy,>50K -67,Self-emp-inc,106175,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2392,75,United-States,>50K -43,Private,307767,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,200574,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,59083,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,1672,50,United-States,<=50K -53,Private,358056,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -81,Private,114670,9th,5,Widowed,Priv-house-serv,Not-in-family,Black,Female,2062,0,5,United-States,<=50K -33,Local-gov,262042,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,1138,40,United-States,<=50K -17,Private,206010,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,8,United-States,<=50K -55,Self-emp-inc,183869,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,?,>50K -28,Private,159001,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -24,Private,155818,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,96055,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -30,Local-gov,131776,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,228613,11th,7,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,198163,Masters,14,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -38,Private,37028,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,38,United-States,<=50K -30,Private,177304,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -33,Private,144064,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -40,Private,146659,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -63,Self-emp-not-inc,26904,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,98,United-States,<=50K -23,Private,238917,7th-8th,4,Never-married,Craft-repair,Other-relative,White,Male,0,0,36,United-States,<=50K -56,Private,170148,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,27821,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -40,Private,220460,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Canada,<=50K -49,Private,101320,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,White,Female,0,1902,40,United-States,>50K -35,Private,173858,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,?,<=50K -52,Private,91048,HS-grad,9,Divorced,Machine-op-inspct,Own-child,Black,Female,0,0,35,United-States,<=50K -28,Private,298696,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,207202,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -21,?,230397,Some-college,10,Never-married,?,Own-child,White,Female,0,0,5,United-States,<=50K -43,Self-emp-not-inc,180599,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -32,?,199046,Assoc-voc,11,Never-married,?,Unmarried,White,Female,0,0,2,United-States,<=50K -29,Self-emp-not-inc,132686,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,Italy,>50K -23,Private,240063,Bachelors,13,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,25,United-States,<=50K -50,Local-gov,177705,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1740,48,United-States,<=50K -34,Private,511361,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -19,Private,89397,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,239439,11th,7,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,United-States,<=50K -37,Self-emp-not-inc,36989,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,76978,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,35,United-States,<=50K -75,Private,200068,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -24,Private,454941,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,State-gov,107218,Bachelors,13,Never-married,Tech-support,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K -17,Local-gov,182070,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -31,Private,176360,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -31,Private,452405,Preschool,1,Never-married,Other-service,Other-relative,White,Female,0,0,35,Mexico,<=50K -18,?,297396,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,10,United-States,<=50K -45,Private,84790,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -31,Private,186787,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,42,United-States,<=50K -27,Private,169662,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K -48,Private,125933,Some-college,10,Widowed,Exec-managerial,Unmarried,Black,Female,0,1669,38,United-States,<=50K -22,?,35448,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,22,United-States,<=50K -34,Private,225548,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,30,United-States,<=50K -26,Private,240842,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -53,Private,103931,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,232618,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -49,Local-gov,288548,Masters,14,Separated,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -40,Private,220609,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Self-emp-inc,26145,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -23,Private,268525,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -68,?,133758,7th-8th,4,Widowed,?,Not-in-family,Black,Male,0,0,10,United-States,<=50K -42,Private,121264,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -37,Self-emp-not-inc,29814,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,85,United-States,<=50K -27,Private,193701,HS-grad,9,Never-married,Craft-repair,Own-child,White,Female,0,0,45,United-States,<=50K -38,Private,183279,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K -27,Private,163942,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,Ireland,<=50K -75,Private,188612,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Self-emp-inc,102771,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K -27,Private,85625,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K -36,Self-emp-not-inc,245090,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,Mexico,<=50K -36,Private,131239,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,45,United-States,>50K -35,Private,182074,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -36,Private,187046,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -53,Private,90624,11th,7,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -27,Private,37933,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,Private,182177,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,3325,0,35,United-States,<=50K -61,Private,716416,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,>50K -29,Private,190562,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,56,United-States,<=50K -40,State-gov,141583,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K -37,Private,98941,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -22,Private,201729,9th,5,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,30,United-States,<=50K -43,Self-emp-inc,175485,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,149168,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -28,Private,115971,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,161708,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -64,Local-gov,244903,11th,7,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -46,Private,155664,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,112754,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,178385,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,48,India,<=50K -20,Private,44064,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,25,United-States,<=50K -62,Self-emp-not-inc,120939,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,165134,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,White,Female,0,0,35,Columbia,<=50K -29,Private,100405,10th,6,Married-civ-spouse,Farming-fishing,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -35,Self-emp-not-inc,361888,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,Japan,<=50K -39,Local-gov,167864,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -39,Private,202950,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -37,Private,218188,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,White,Female,0,0,32,United-States,<=50K -38,Private,234962,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,2829,0,30,Mexico,<=50K -72,?,177226,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -31,Private,259931,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,189528,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -38,Private,34996,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,112584,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -25,Private,117589,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,?,145234,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -37,Private,267086,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,52,United-States,<=50K -49,Private,44434,Some-college,10,Divorced,Tech-support,Other-relative,White,Male,0,0,35,United-States,<=50K -26,Private,96130,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -35,Private,181382,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K -44,Self-emp-inc,168845,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,60,United-States,<=50K -37,Private,271767,Masters,14,Separated,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K -42,Private,194636,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -64,State-gov,194894,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,4787,0,40,United-States,>50K -28,Private,132686,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -35,Self-emp-not-inc,185848,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,4650,0,50,United-States,<=50K -40,State-gov,184378,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -55,Federal-gov,270859,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -21,Private,231866,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,65,United-States,<=50K -49,Private,36032,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -51,State-gov,172962,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -57,Private,98350,Prof-school,15,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,1902,40,Philippines,>50K -51,Private,24185,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -38,Private,53930,10th,6,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,?,<=50K -24,Private,85088,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,1762,32,United-States,<=50K -45,Self-emp-not-inc,94962,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,England,<=50K -28,Private,480861,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -42,Self-emp-inc,187702,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,60,United-States,>50K -22,Private,52262,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,State-gov,52636,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,175273,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,327825,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,2238,40,United-States,<=50K -47,Private,125892,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,75,United-States,>50K -40,?,78255,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,25,United-States,<=50K -30,Private,398827,HS-grad,9,Married-AF-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,<=50K -61,Private,208919,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -71,Local-gov,365996,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,6,United-States,<=50K -42,Private,307638,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -44,Local-gov,33068,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -46,Self-emp-not-inc,254291,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -50,Local-gov,125417,Prof-school,15,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,52,United-States,>50K -27,State-gov,28848,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,9,United-States,<=50K -40,?,273425,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -21,Private,194723,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,Mexico,<=50K -25,Private,195118,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,35,United-States,<=50K -61,Private,123273,5th-6th,3,Divorced,Transport-moving,Not-in-family,White,Male,0,1876,56,United-States,<=50K -54,Private,220115,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K -31,Private,265706,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Self-emp-not-inc,279129,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -39,Self-emp-inc,122742,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K -57,Self-emp-inc,172654,Prof-school,15,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,50,United-States,>50K -48,Private,119199,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,44,United-States,<=50K -30,Private,107793,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,56,United-States,>50K -35,Private,237943,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K -42,Self-emp-not-inc,64632,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -34,Self-emp-not-inc,96245,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,361494,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -69,Local-gov,122850,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -29,Private,173652,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,164663,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,98678,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -40,Private,245529,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,55294,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,140583,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,79797,HS-grad,9,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Japan,>50K -72,?,113044,HS-grad,9,Widowed,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -20,Private,283499,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K -41,Local-gov,51111,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,232475,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -48,Private,176140,11th,7,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -27,Private,301654,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,376455,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -28,?,192569,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -27,Private,229803,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -20,Private,337639,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,130849,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -32,Private,296282,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,266645,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -23,State-gov,110128,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,90196,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -40,State-gov,40024,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -35,Private,144322,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -74,Self-emp-inc,162340,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -28,Private,169069,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,113601,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -20,Self-emp-not-inc,157145,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,2258,10,United-States,<=50K -44,Private,111275,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,56,United-States,<=50K -46,Local-gov,102076,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,25,United-States,<=50K -20,?,182117,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,145409,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -40,Private,190122,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,331482,Prof-school,15,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,40,United-States,>50K -60,Self-emp-not-inc,170114,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1672,84,United-States,<=50K -48,Self-emp-inc,193188,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -46,Local-gov,267588,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,70,United-States,<=50K -48,Self-emp-inc,200471,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -22,?,175586,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,35,United-States,<=50K -24,Local-gov,322658,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,State-gov,263982,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -18,Private,266287,12th,8,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -39,Private,278187,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -65,Self-emp-inc,81413,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2352,65,United-States,<=50K -22,Private,221745,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -20,Private,140764,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -28,Private,206351,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,176814,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -42,Local-gov,245307,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,48,United-States,>50K -61,State-gov,124971,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -28,Private,119545,Some-college,10,Married-civ-spouse,Exec-managerial,Own-child,White,Male,7688,0,50,United-States,>50K -18,Private,179203,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -24,Federal-gov,44075,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -45,Private,178319,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,56,United-States,>50K -24,Private,219754,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,198316,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -20,Private,168165,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -35,Private,356838,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,2829,0,55,Poland,<=50K -52,Self-emp-inc,210736,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -25,Private,173212,Assoc-acdm,12,Never-married,Farming-fishing,Not-in-family,White,Male,2354,0,45,United-States,<=50K -19,Private,130431,5th-6th,3,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,36,Mexico,<=50K -35,?,169809,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -54,Private,197481,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,155066,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,31290,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -42,Private,54102,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,181546,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -55,Private,153484,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -44,State-gov,351228,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,131976,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,55,United-States,<=50K -26,Private,200639,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -64,Federal-gov,267546,Assoc-acdm,12,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -41,Private,179875,11th,7,Divorced,Other-service,Unmarried,Other,Female,0,0,40,United-States,<=50K -25,?,237865,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,40,?,<=50K -43,Private,300528,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,67716,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,10520,0,48,United-States,>50K -48,Federal-gov,326048,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K -60,Private,191188,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,32172,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -51,Private,252903,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K -37,Federal-gov,334314,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,83704,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -44,Private,160574,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,>50K -27,Private,203776,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -47,Local-gov,328610,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,295589,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1977,40,United-States,>50K -40,Private,174373,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -41,Private,247752,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -32,?,199244,10th,6,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,139992,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,95680,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -55,Self-emp-inc,189933,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -38,Private,498785,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -24,State-gov,177526,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,15,United-States,<=50K -64,Self-emp-not-inc,150121,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,>50K -56,Federal-gov,130454,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -41,Private,119079,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,49,United-States,>50K -33,Private,220939,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,45,United-States,>50K -33,Private,94235,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Male,0,0,42,United-States,>50K -21,Private,305874,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -59,Local-gov,62020,HS-grad,9,Widowed,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -58,Private,235624,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Germany,>50K -43,Local-gov,247514,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -21,Private,275726,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -45,Private,72896,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Local-gov,110510,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -41,Private,173938,Prof-school,15,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,?,>50K -27,Private,200641,10th,6,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,Mexico,<=50K -53,Private,211654,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,?,>50K -38,Private,242720,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -31,Private,111567,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -41,Private,179533,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K -22,State-gov,334693,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -43,Self-emp-not-inc,198096,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -41,State-gov,355756,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,19395,Some-college,10,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,35,United-States,<=50K -41,Local-gov,242586,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,208358,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,99999,0,45,United-States,>50K -49,Private,160647,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -20,Private,227943,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K -58,Self-emp-not-inc,197665,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K -35,Self-emp-not-inc,216129,12th,8,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,Trinadad&Tobago,<=50K -30,Local-gov,326104,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -21,Private,57211,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,100219,Assoc-acdm,12,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,45,United-States,<=50K -40,Private,291192,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,State-gov,93415,Bachelors,13,Never-married,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,>50K -35,Private,191502,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -35,Private,261382,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -40,Private,170230,Bachelors,13,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,40,?,<=50K -59,Private,374924,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -43,Self-emp-inc,320984,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -39,Private,338320,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -51,Private,135190,7th-8th,4,Separated,Machine-op-inspct,Not-in-family,Black,Female,0,0,30,United-States,<=50K -71,Private,157909,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,2964,0,60,United-States,<=50K -33,Private,637222,12th,8,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -28,Private,430084,HS-grad,9,Divorced,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K -30,Private,125279,HS-grad,9,Married-spouse-absent,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K -20,Private,221955,5th-6th,3,Married-spouse-absent,Farming-fishing,Other-relative,White,Male,0,0,40,Mexico,<=50K -51,Self-emp-inc,180195,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -39,Private,208778,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,>50K -62,Private,81534,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -37,Private,325538,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,60,?,<=50K -28,Private,142264,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,Dominican-Republic,<=50K -23,Private,128604,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,48,South,<=50K -39,Private,277886,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K -50,Self-emp-inc,100029,Bachelors,13,Widowed,Sales,Unmarried,White,Male,0,0,65,United-States,>50K -31,Private,169269,7th-8th,4,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -45,Local-gov,160472,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -23,?,123983,Bachelors,13,Never-married,?,Own-child,Other,Male,0,0,40,United-States,<=50K -47,Private,297884,10th,6,Widowed,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Private,99131,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,18,United-States,<=50K -32,Private,44392,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -82,?,29441,7th-8th,4,Widowed,?,Not-in-family,White,Male,0,0,5,United-States,<=50K -49,Private,199029,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2415,55,United-States,>50K -74,Federal-gov,181508,HS-grad,9,Widowed,Other-service,Not-in-family,White,Male,0,0,17,United-States,<=50K -22,Private,190625,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K -32,Private,194740,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,Greece,<=50K -34,Private,27380,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -59,Private,160631,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -36,Private,224531,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -59,Private,283005,11th,7,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Self-emp-inc,101926,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,>50K -53,Local-gov,135102,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,2002,45,United-States,<=50K -25,Self-emp-not-inc,113436,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K -44,Private,248973,Bachelors,13,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,65,United-States,<=50K -57,Self-emp-not-inc,225334,Prof-school,15,Married-civ-spouse,Sales,Wife,White,Female,15024,0,35,United-States,>50K -42,Self-emp-not-inc,157562,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1902,80,United-States,>50K -58,Local-gov,310085,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,129597,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,3464,0,40,United-States,<=50K -32,?,53042,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -45,Private,204205,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,48,United-States,<=50K -47,Private,169324,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,35,United-States,>50K -52,?,134447,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K -56,Self-emp-not-inc,236731,1st-4th,2,Separated,Exec-managerial,Not-in-family,White,Male,0,0,25,?,<=50K -52,Private,141301,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,235124,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K -36,Self-emp-not-inc,367020,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -41,Private,149102,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Poland,<=50K -30,Private,423770,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,Mexico,<=50K -44,Private,211759,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Other,Male,0,0,40,Puerto-Rico,<=50K -17,?,110998,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -34,Private,56883,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,223062,Some-college,10,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -29,Private,406662,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,206600,9th,5,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,48,Mexico,<=50K -42,Local-gov,147510,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -48,Private,235646,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,3103,0,40,United-States,>50K -26,Private,187577,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K -64,Self-emp-inc,132832,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,20051,0,40,?,>50K -46,Self-emp-inc,278322,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -38,Private,278924,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K -49,State-gov,203039,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,145651,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -46,Local-gov,144531,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -30,Private,91145,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,55,United-States,<=50K -49,Self-emp-not-inc,211762,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -47,?,111563,Assoc-voc,11,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,180985,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,>50K -31,Private,207537,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,1669,50,United-States,<=50K -19,Private,417657,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K -45,Private,189890,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,5455,0,38,United-States,<=50K -34,Private,223212,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,40,Peru,>50K -26,Private,108658,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,190023,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -31,Private,222130,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K -36,Self-emp-inc,164866,Assoc-acdm,12,Separated,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -31,Private,170983,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -30,Private,186269,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,286026,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -30,Private,403433,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,50,United-States,>50K -21,?,224209,HS-grad,9,Married-civ-spouse,?,Wife,Black,Female,0,0,30,United-States,<=50K -73,Private,123160,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,10,United-States,<=50K -38,Federal-gov,99527,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -30,Private,123178,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -33,Private,231043,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -52,Local-gov,317733,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -58,Private,241056,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,46,United-States,<=50K -34,Local-gov,220066,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -35,Private,180342,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -59,Federal-gov,31840,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -45,Private,183168,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,386036,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,<=50K -31,Local-gov,446358,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,Mexico,>50K -45,Private,28035,Some-college,10,Never-married,Farming-fishing,Other-relative,White,Male,0,0,50,United-States,<=50K -40,Private,282155,HS-grad,9,Separated,Other-service,Other-relative,White,Female,0,0,25,United-States,<=50K -27,Private,192384,Prof-school,15,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,383637,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -29,Private,457402,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,25,Mexico,<=50K -34,Self-emp-inc,80249,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K -32,State-gov,159537,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,240859,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Cuba,<=50K -33,Private,83446,11th,7,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K -74,?,29866,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,<=50K -62,Private,185503,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -39,Self-emp-not-inc,68781,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,220589,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,51136,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,60,United-States,<=50K -24,Private,54560,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -76,?,28221,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,Canada,>50K -25,Private,201413,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -19,Private,40425,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,28,United-States,<=50K -31,Private,189461,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,41,United-States,<=50K -53,Private,200576,11th,7,Divorced,Craft-repair,Other-relative,White,Female,0,0,40,United-States,<=50K -61,Private,92691,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,3,United-States,<=50K -47,Private,664821,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,El-Salvador,<=50K -37,Private,175130,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -50,Self-emp-not-inc,391016,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K -27,Private,249315,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,44,United-States,<=50K -58,Private,111169,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,334946,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -39,Private,352248,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,173804,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -56,Private,155449,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,73689,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K -23,Private,227594,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,38,United-States,<=50K -47,Private,161676,11th,7,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -68,Private,75913,12th,8,Widowed,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -47,Local-gov,242552,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K -45,Federal-gov,352094,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,7688,0,40,Guatemala,>50K -26,Private,159732,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -20,Private,131230,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,1590,40,United-States,<=50K -46,Private,180695,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -37,Private,189922,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -37,Private,409189,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -43,Private,111252,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,42,United-States,<=50K -59,Private,294395,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,172718,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,43403,Some-college,10,Divorced,Farming-fishing,Not-in-family,White,Female,0,1590,54,United-States,<=50K -63,Private,111963,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,16,United-States,<=50K -45,Private,247869,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -59,Private,114032,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,?,356838,12th,8,Never-married,?,Not-in-family,White,Male,0,0,35,United-States,<=50K -26,Private,179633,HS-grad,9,Never-married,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K -34,Private,19847,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,231689,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Private,209942,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -53,Private,197492,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,262439,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K -46,Private,283037,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -79,?,144533,HS-grad,9,Widowed,?,Not-in-family,Black,Female,0,0,30,United-States,<=50K -31,Private,83446,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,215443,HS-grad,9,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Local-gov,268252,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,62,United-States,<=50K -40,Private,181015,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,47,United-States,<=50K -41,Self-emp-inc,139916,Assoc-voc,11,Married-civ-spouse,Sales,Husband,Other,Male,0,2179,84,Mexico,<=50K -20,Private,195770,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,26,United-States,<=50K -45,Private,125194,11th,7,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -27,Private,58654,Assoc-voc,11,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,252327,5th-6th,3,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K -30,Private,116508,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,<=50K -36,Private,166988,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -25,Private,374163,HS-grad,9,Married-spouse-absent,Farming-fishing,Not-in-family,Other,Male,0,0,40,Mexico,<=50K -30,?,96851,Some-college,10,Never-married,?,Not-in-family,White,Female,0,1719,25,United-States,<=50K -31,Private,196788,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -49,Private,186172,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,45,United-States,>50K -26,Private,245628,11th,7,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,20,United-States,<=50K -25,Private,159732,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,129856,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,182812,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,3325,0,52,Dominican-Republic,<=50K -41,Private,314322,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -35,Private,102976,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -57,Self-emp-inc,42959,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -21,Private,256356,11th,7,Never-married,Priv-house-serv,Other-relative,White,Female,0,0,40,Mexico,<=50K -29,Private,136277,10th,6,Never-married,Other-service,Own-child,Black,Female,0,0,32,United-States,<=50K -36,Private,284616,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,185554,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -51,Private,138847,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -39,Private,33487,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,84306,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,50,United-States,<=50K -40,Self-emp-not-inc,223881,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,70,United-States,>50K -61,Private,149653,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,348739,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -20,?,235442,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K -21,Private,34506,HS-grad,9,Separated,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -40,Private,346964,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Private,192208,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -21,Private,305874,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,54,United-States,<=50K -35,Self-emp-not-inc,462890,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,<=50K -39,Private,89508,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,200153,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -30,Private,179446,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,208965,9th,5,Never-married,Machine-op-inspct,Unmarried,Other,Male,0,0,40,Mexico,<=50K -32,Private,40142,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -46,Self-emp-not-inc,57452,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -40,Private,327573,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,151267,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,15024,0,40,United-States,>50K -44,Private,265266,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,203836,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3464,0,40,Columbia,<=50K -51,?,163998,HS-grad,9,Married-spouse-absent,?,Not-in-family,White,Male,0,0,20,United-States,>50K -46,Self-emp-not-inc,28281,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -51,Private,293196,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,Iran,>50K -45,Private,214627,Doctorate,16,Widowed,Prof-specialty,Unmarried,White,Male,15020,0,40,Iran,>50K -20,Private,368852,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -44,Private,353396,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -33,Private,161745,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -18,Private,97963,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -61,Self-emp-inc,156542,Prof-school,15,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -50,State-gov,198103,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Federal-gov,55377,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -34,Private,173730,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -53,Private,374588,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,60,United-States,<=50K -39,Self-emp-not-inc,174330,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,78141,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -66,?,190324,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,18,United-States,<=50K -26,Private,31350,11th,7,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -41,Private,243607,5th-6th,3,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K -47,Local-gov,134671,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,197023,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -52,Private,117674,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -29,Private,169815,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -43,Private,598606,9th,5,Separated,Handlers-cleaners,Unmarried,Black,Female,0,0,50,United-States,<=50K -42,Federal-gov,122861,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -35,Private,166235,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,30,United-States,<=50K -41,Private,187821,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2885,0,40,United-States,<=50K -34,Private,340940,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,60,United-States,>50K -52,Self-emp-not-inc,194791,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,231323,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Local-gov,305597,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -19,Private,25429,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -46,State-gov,192779,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -39,Private,346478,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -22,Private,341368,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -30,State-gov,295612,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,168936,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -43,Private,218558,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,3325,0,40,United-States,<=50K -37,Private,336598,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,36,Mexico,<=50K -23,Private,308205,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -39,Local-gov,357173,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,59,United-States,<=50K -54,Private,457237,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -46,Self-emp-inc,284799,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -20,Private,179423,Some-college,10,Never-married,Transport-moving,Own-child,White,Female,0,0,40,United-States,<=50K -50,Self-emp-not-inc,363405,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,50,United-States,>50K -17,Private,139183,10th,6,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -36,Private,203482,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,112554,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -53,Private,99476,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -50,Private,93690,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -38,Private,220585,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -63,Self-emp-not-inc,194638,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K -53,Private,154785,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -40,?,162108,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,50,United-States,<=50K -23,Self-emp-inc,214542,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -20,Private,161922,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,43,United-States,<=50K -46,Private,207940,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -28,Private,259351,10th,6,Never-married,Other-service,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,Mexico,<=50K -59,Private,208395,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -41,Private,116391,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -33,Private,239781,Preschool,1,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -56,Private,174351,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,<=50K -50,Self-emp-not-inc,44368,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,55,El-Salvador,>50K -31,Local-gov,188798,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -41,Private,50122,Assoc-voc,11,Divorced,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -38,Private,111398,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,40,United-States,>50K -25,State-gov,152035,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -18,?,139003,HS-grad,9,Never-married,?,Other-relative,Other,Female,0,0,12,United-States,<=50K -49,Local-gov,249289,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -39,Private,257726,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -22,?,113175,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -21,Private,151158,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,25,United-States,<=50K -35,Private,465326,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -21,?,356772,HS-grad,9,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,364782,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -55,Private,198385,7th-8th,4,Widowed,Other-service,Unmarried,White,Female,0,0,20,?,<=50K -31,Private,329301,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K -17,Self-emp-inc,254859,11th,7,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -31,Private,203488,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,50,United-States,>50K -25,Local-gov,222800,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,96452,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -50,Private,170050,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -38,Local-gov,116580,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K -50,Private,400004,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -63,Private,183608,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,194055,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,210443,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -18,Private,43272,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -43,Local-gov,108945,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,48,United-States,<=50K -34,Private,114691,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -18,Private,304169,11th,7,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -46,Private,503923,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,4386,0,40,United-States,>50K -35,Private,340428,Bachelors,13,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,>50K -46,State-gov,106705,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -59,Private,146391,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,United-States,>50K -31,Private,235389,7th-8th,4,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,30,Portugal,<=50K -27,Private,39665,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,37,United-States,<=50K -41,Private,113823,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,England,<=50K -42,Private,217826,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,?,<=50K -55,Private,349304,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -34,?,197688,HS-grad,9,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -44,Private,54507,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,117833,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,1669,50,United-States,<=50K -36,Private,163396,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -69,Private,88566,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,1424,0,35,United-States,<=50K -33,Private,323619,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,75755,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,148903,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,16,United-States,>50K -25,Private,40915,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -21,Private,182606,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,?,<=50K -18,Private,131033,11th,7,Never-married,Other-service,Other-relative,Black,Male,0,0,15,United-States,<=50K -35,Self-emp-not-inc,168475,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -20,Private,121568,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,139098,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,40,United-States,<=50K -46,Private,357338,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,283268,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,36,United-States,<=50K -40,Private,572751,Prof-school,15,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,Mexico,>50K -40,Private,315321,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,625,52,United-States,<=50K -31,Private,120461,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Self-emp-not-inc,65278,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -23,Self-emp-not-inc,208503,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -25,Local-gov,112835,Masters,14,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,265038,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -18,Private,89478,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -55,Private,276229,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K -52,Private,366232,9th,5,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,Cuba,<=50K -26,Private,152035,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -37,Private,205339,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,>50K -39,Private,75995,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -62,Self-emp-not-inc,192236,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -19,?,188618,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -47,Private,229737,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -51,Local-gov,199688,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -55,Private,52953,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,221043,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -59,Federal-gov,115389,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K -45,Self-emp-not-inc,204205,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K -52,Private,338816,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -21,Private,197387,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -31,Private,42485,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K -29,Private,367706,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -24,Private,102493,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,263746,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K -47,Private,115358,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -46,Private,189680,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -32,?,282622,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,28,United-States,<=50K -34,Private,127651,10th,6,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,44,?,<=50K -63,Private,230823,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Cuba,<=50K -21,Private,300812,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -18,Private,174732,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,36,United-States,<=50K -49,State-gov,183710,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -81,Self-emp-not-inc,137018,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -36,Self-emp-inc,213008,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -47,Private,357848,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -36,Private,165799,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -39,Self-emp-not-inc,188571,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -46,Private,97883,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -43,Local-gov,105862,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1902,40,United-States,>50K -39,Local-gov,57424,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -29,Private,151476,Some-college,10,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,129583,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,16,United-States,<=50K -57,Private,180920,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K -38,Self-emp-not-inc,182416,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,42,United-States,<=50K -25,Private,251915,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -39,Local-gov,187127,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,69045,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,40,Jamaica,<=50K -56,Private,192869,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,44,United-States,>50K -39,Private,74163,12th,8,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,60847,Assoc-voc,11,Never-married,Sales,Unmarried,White,Female,0,0,60,United-States,<=50K -17,?,213055,11th,7,Never-married,?,Not-in-family,Other,Female,0,0,20,United-States,<=50K -67,Self-emp-not-inc,116057,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,3273,0,16,United-States,<=50K -41,Private,82393,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,50,United-States,<=50K -24,Local-gov,134181,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,50,United-States,<=50K -51,Private,159910,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Black,Male,10520,0,40,United-States,>50K -30,Self-emp-inc,117570,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K -47,Self-emp-inc,214169,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,15024,0,40,United-States,>50K -56,Private,56331,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,32,United-States,<=50K -51,Private,35576,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K -57,Self-emp-not-inc,149168,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -34,Private,157165,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,278130,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Private,257200,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,283122,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -23,Private,580248,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,230054,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -58,Private,519006,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K -19,?,37332,HS-grad,9,Never-married,?,Own-child,White,Female,1055,0,12,United-States,<=50K -19,?,365871,7th-8th,4,Never-married,?,Not-in-family,White,Male,0,0,40,Mexico,<=50K -68,State-gov,235882,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2377,60,United-States,>50K -43,Private,336513,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K -17,Private,115551,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -53,State-gov,50048,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -37,Self-emp-inc,382802,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,99,United-States,>50K -21,?,180303,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,0,0,25,?,<=50K -63,Private,106023,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -31,Private,332379,Some-college,10,Married-spouse-absent,Transport-moving,Unmarried,White,Male,0,0,50,United-States,<=50K -29,Private,95465,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -43,Local-gov,96102,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,40,United-States,>50K -27,Private,36440,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,65,United-States,>50K -25,Self-emp-not-inc,209384,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,32,United-States,<=50K -28,Private,50814,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,143865,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -74,?,104661,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,12,United-States,<=50K -31,Local-gov,50442,Some-college,10,Never-married,Exec-managerial,Own-child,Amer-Indian-Eskimo,Female,0,0,32,United-States,<=50K -23,Private,236601,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,48,United-States,<=50K -19,Private,100999,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K -39,?,362685,Preschool,1,Widowed,?,Not-in-family,White,Female,0,0,20,El-Salvador,<=50K -61,Self-emp-not-inc,32423,HS-grad,9,Married-civ-spouse,Farming-fishing,Wife,White,Female,22040,0,40,United-States,<=50K -59,?,154236,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,7688,0,40,United-States,>50K -27,Self-emp-inc,153546,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,White,Female,0,0,36,United-States,>50K -19,Private,182355,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K -23,?,191444,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -25,Local-gov,44216,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K -40,Private,97688,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,>50K -53,Private,209022,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K -32,Private,96016,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -72,Self-emp-not-inc,52138,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2392,25,United-States,>50K -61,Private,159046,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,138634,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,130125,10th,6,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Female,1055,0,20,United-States,<=50K -73,Private,247355,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,16,Canada,<=50K -41,Self-emp-not-inc,227065,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,244771,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,20,Jamaica,<=50K -23,Private,215616,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,Canada,<=50K -65,Private,386672,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,15,United-States,<=50K -45,Self-emp-inc,177543,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K -52,Federal-gov,617021,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Black,Male,7688,0,40,United-States,>50K -24,Local-gov,117109,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,27,United-States,<=50K -23,Private,373550,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,19847,Some-college,10,Divorced,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,189590,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,58343,HS-grad,9,Divorced,Farming-fishing,Unmarried,White,Male,0,0,56,United-States,<=50K -17,Private,354201,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,119422,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,363405,HS-grad,9,Separated,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -63,Private,181863,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,27,United-States,<=50K -27,Private,194472,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,60,United-States,<=50K -31,Private,247328,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3137,0,40,Mexico,<=50K -71,Self-emp-not-inc,130731,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -35,Private,236910,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -44,Private,378251,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,38,United-States,<=50K -36,Private,120760,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -22,Private,203182,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Female,0,0,20,United-States,<=50K -32,Private,130304,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1485,48,United-States,<=50K -30,Local-gov,352542,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -60,?,191024,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,197728,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -76,Private,316185,7th-8th,4,Widowed,Protective-serv,Not-in-family,White,Female,0,0,12,United-States,<=50K -41,Private,89226,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,292353,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,United-States,<=50K -45,Private,304570,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -32,Private,180296,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,361487,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,218490,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1848,40,United-States,>50K -63,Self-emp-not-inc,231777,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,189832,Assoc-acdm,12,Never-married,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K -61,Private,232308,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -31,State-gov,33308,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,333677,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -33,Private,170651,HS-grad,9,Never-married,Other-service,Own-child,White,Female,1055,0,40,United-States,<=50K -39,Private,343403,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,36,United-States,<=50K -53,Private,166386,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,40,China,<=50K -26,Federal-gov,48099,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,143062,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,32,United-States,<=50K -18,Private,104704,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -34,Private,30497,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -44,State-gov,174325,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,7688,0,40,United-States,>50K -31,Private,286675,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -44,Private,59474,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -42,Private,378384,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,60,United-States,>50K -43,Private,245842,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,Mexico,<=50K -33,Private,274222,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,7688,0,38,United-States,>50K -21,Private,342575,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,30,United-States,<=50K -30,Private,206051,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -55,Private,234213,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -57,Private,145189,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,233490,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -32,Private,344129,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -62,Self-emp-not-inc,171315,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -31,Self-emp-not-inc,181485,Bachelors,13,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,>50K -51,Private,255412,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,France,>50K -37,Private,262409,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,213,45,United-States,<=50K -45,Private,199590,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,Mexico,<=50K -47,Private,84726,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -31,?,226883,HS-grad,9,Divorced,?,Own-child,White,Male,0,0,75,United-States,<=50K -75,Self-emp-not-inc,184335,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -43,Private,102025,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,50,United-States,<=50K -39,Private,183898,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,60,Germany,>50K -30,Private,55291,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -27,Private,150025,5th-6th,3,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Guatemala,<=50K -44,Private,100584,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -53,Local-gov,181755,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,>50K -40,Private,150528,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,107277,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -33,Private,247205,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,England,<=50K -20,Private,291979,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,270985,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,<=50K -48,Private,62605,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -46,Self-emp-not-inc,176863,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,53197,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,267776,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,30,United-States,<=50K -24,Private,308205,7th-8th,4,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -30,Private,306383,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -70,Private,35494,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -26,Private,291968,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,<=50K -34,Private,80933,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,40,United-States,<=50K -46,Private,271828,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -70,Private,121993,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,5,United-States,<=50K -37,Local-gov,31023,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,36425,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -23,Private,407684,9th,5,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,Mexico,<=50K -28,Private,241895,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1628,40,United-States,<=50K -44,Self-emp-not-inc,158555,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -58,Private,140363,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,3325,0,30,United-States,<=50K -53,Private,123429,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -23,Private,40060,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,290286,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -21,?,249271,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -34,Local-gov,106169,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -43,Private,76487,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,437994,Some-college,10,Never-married,Other-service,Other-relative,Black,Male,0,0,20,United-States,<=50K -41,Private,113555,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,7298,0,50,United-States,>50K -36,Private,160120,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -41,Local-gov,343079,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1740,20,United-States,<=50K -27,Private,406662,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,4416,0,40,United-States,<=50K -42,Self-emp-not-inc,37618,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -27,Private,114158,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -41,Private,115562,HS-grad,9,Divorced,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,353994,Bachelors,13,Married-civ-spouse,Exec-managerial,Other-relative,Asian-Pac-Islander,Female,0,0,40,China,>50K -21,Private,344891,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K -44,Private,286750,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,>50K -29,Private,194197,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -19,Self-emp-not-inc,206599,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,22,United-States,<=50K -21,Local-gov,596776,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,Guatemala,<=50K -46,Private,56841,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,112561,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -43,Private,147110,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,48,United-States,>50K -54,Self-emp-inc,175339,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -38,Private,234901,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K -18,?,298133,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,217083,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -30,Private,97757,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,>50K -30,Private,151868,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Local-gov,25864,HS-grad,9,Never-married,Exec-managerial,Unmarried,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K -26,Private,109419,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -37,Federal-gov,203070,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K -32,Private,107843,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,50,United-States,>50K -64,State-gov,264544,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,5,United-States,>50K -18,Private,148644,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,28,United-States,<=50K -30,Private,125762,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,United-States,<=50K -36,?,53606,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,3908,0,8,United-States,<=50K -18,Private,193741,11th,7,Never-married,Other-service,Other-relative,Black,Male,0,0,30,United-States,<=50K -27,Private,588905,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,115613,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -46,State-gov,222374,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,43,United-States,>50K -37,Private,185359,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,173647,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,31166,HS-grad,9,Divorced,Prof-specialty,Not-in-family,Other,Female,0,0,30,Germany,<=50K -22,?,517995,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,Mexico,<=50K -25,Self-emp-not-inc,189027,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -38,Private,296125,HS-grad,9,Separated,Priv-house-serv,Unmarried,Black,Female,0,0,30,United-States,<=50K -32,?,640383,Bachelors,13,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,334291,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -56,Private,318450,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,80,United-States,>50K -29,Private,174163,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,119721,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,142719,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,162593,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -46,Self-emp-not-inc,236852,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -28,Local-gov,154863,HS-grad,9,Never-married,Protective-serv,Other-relative,Black,Male,0,1876,40,United-States,<=50K -39,Private,168894,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -42,Self-emp-not-inc,344920,Some-college,10,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,50,United-States,<=50K -39,Private,33355,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,48,United-States,>50K -68,?,196782,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -37,Self-emp-inc,291518,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,55,United-States,>50K -57,Private,170244,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,369549,Some-college,10,Never-married,Other-service,Not-in-family,Black,Female,0,0,30,United-States,<=50K -24,Private,23438,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,>50K -19,Private,202673,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K -55,Private,171780,Assoc-acdm,12,Divorced,Sales,Unmarried,Black,Female,0,0,30,United-States,<=50K -37,Local-gov,264503,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -37,Local-gov,244341,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -28,Private,209109,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,187392,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,State-gov,119578,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,20,United-States,<=50K -51,Private,195105,HS-grad,9,Divorced,Priv-house-serv,Own-child,White,Female,0,0,40,United-States,<=50K -52,Private,101752,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,56,United-States,<=50K -74,?,95825,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,3,United-States,<=50K -49,Self-emp-inc,362654,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -20,?,29810,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -40,Federal-gov,77332,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -80,Private,87518,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,1816,60,United-States,<=50K -63,Private,113324,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -63,Private,96299,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,45,United-States,>50K -51,Private,237729,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,200973,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -66,Self-emp-not-inc,212456,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,20,United-States,<=50K -33,Self-emp-not-inc,131568,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,66,United-States,<=50K -49,Private,185859,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K -20,Private,231981,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,32,United-States,<=50K -33,Self-emp-inc,117963,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,60,United-States,>50K -26,Private,78172,Some-college,10,Married-AF-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,164135,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -33,Private,171216,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -47,Private,140664,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -23,Private,249277,HS-grad,9,Never-married,Exec-managerial,Own-child,Black,Male,0,0,75,United-States,<=50K -53,Federal-gov,117847,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,52372,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -26,Federal-gov,95806,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K -53,Private,137428,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -65,Private,169047,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,10,United-States,<=50K -68,Private,339168,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -30,Private,504725,10th,6,Never-married,Sales,Other-relative,White,Male,0,0,18,Guatemala,<=50K -28,Private,132870,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -54,Local-gov,135840,10th,6,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,<=50K -30,Private,35644,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K -22,Private,198148,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K -25,Private,220098,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -19,Private,262515,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,20,United-States,<=50K -19,?,423863,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -32,Federal-gov,111567,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -23,Private,194096,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -51,Local-gov,420917,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,197871,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,>50K -46,Local-gov,253116,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -38,Private,206535,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,50,United-States,<=50K -26,State-gov,70447,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -46,Private,201217,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,209970,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,196745,Some-college,10,Never-married,Other-service,Own-child,White,Female,594,0,16,United-States,<=50K -29,Local-gov,175262,Masters,14,Married-civ-spouse,Prof-specialty,Other-relative,White,Male,0,0,35,United-States,<=50K -51,Self-emp-inc,304955,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -40,Private,181265,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K -24,Private,200973,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Self-emp-not-inc,37440,Bachelors,13,Never-married,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K -31,Private,395170,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,Amer-Indian-Eskimo,Female,0,0,24,Mexico,<=50K -54,?,32385,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -34,Private,353213,Assoc-acdm,12,Separated,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -19,Private,38619,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,66,United-States,<=50K -21,Private,177711,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -21,Private,190761,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -23,Private,27776,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,24,United-States,<=50K -37,Federal-gov,470663,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,71738,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,46,United-States,>50K -57,Private,74156,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -48,Private,202467,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1485,40,United-States,>50K -24,Private,123983,11th,7,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -43,Private,193494,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -32,?,169886,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,20,?,<=50K -40,Private,130571,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Self-emp-inc,90363,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,35,United-States,>50K -49,Private,83444,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,239093,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,3137,0,40,United-States,<=50K -62,Local-gov,151369,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,56630,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,117095,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -55,Federal-gov,189985,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -20,?,34862,Some-college,10,Never-married,?,Own-child,Amer-Indian-Eskimo,Male,0,0,72,United-States,<=50K -37,Self-emp-inc,126675,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -43,State-gov,199806,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -29,Private,57596,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,103459,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -28,Private,282398,Some-college,10,Separated,Tech-support,Unmarried,White,Male,0,0,40,United-States,>50K -38,Private,298841,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -45,Private,33300,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,1977,50,United-States,>50K -22,?,306031,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,306467,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -20,Private,189888,12th,8,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Private,83861,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,117393,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,129934,Some-college,10,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,40,?,<=50K -51,Private,179010,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -31,Private,375680,Bachelors,13,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,40,?,<=50K -48,Private,316101,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,293305,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K -51,Local-gov,175750,HS-grad,9,Divorced,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K -41,Private,121718,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,1848,48,United-States,>50K -62,?,94931,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,3411,0,40,United-States,<=50K -50,State-gov,229272,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -46,Private,142828,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -54,Private,22743,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,60,United-States,>50K -68,Private,76371,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,>50K -23,Self-emp-not-inc,216129,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -49,Private,107425,Masters,14,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -24,Private,611029,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -30,Local-gov,363032,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K -38,Private,170020,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3137,0,45,United-States,<=50K -34,Private,137900,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -22,Private,322674,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,23778,7th-8th,4,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,Private,147845,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,31,United-States,<=50K -36,Private,175759,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -51,Self-emp-inc,166459,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,128212,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,40,Vietnam,>50K -54,Federal-gov,127455,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,>50K -63,Private,134699,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K -51,Private,254230,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -63,Self-emp-not-inc,159715,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -51,Local-gov,116286,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -27,Private,146719,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -35,Private,361888,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -31,?,26553,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,25,United-States,>50K -46,Self-emp-not-inc,32825,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -53,Private,225768,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -26,Federal-gov,393728,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,24,United-States,<=50K -43,Private,160369,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,191807,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -50,Federal-gov,176969,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,1590,40,United-States,<=50K -54,Federal-gov,33863,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -62,?,182687,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,45,United-States,>50K -57,State-gov,141459,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -19,?,174233,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,24,United-States,<=50K -29,Local-gov,95393,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -20,Private,221095,HS-grad,9,Never-married,Craft-repair,Other-relative,Black,Male,0,0,40,United-States,<=50K -53,Private,104501,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,55,United-States,>50K -18,?,437851,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -22,?,131230,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,495888,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,El-Salvador,<=50K -69,Private,185691,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,20,United-States,<=50K -56,Private,201822,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,2002,40,United-States,<=50K -53,Local-gov,549341,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,35,United-States,<=50K -28,Private,247445,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,199566,Bachelors,13,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -33,Self-emp-inc,139057,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,84,Taiwan,>50K -48,Private,185039,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -61,Private,166124,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -49,Private,82649,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,45,United-States,<=50K -48,Private,109275,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,408328,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,186338,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -27,?,130856,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,251579,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,14,United-States,<=50K -47,Private,76612,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,22546,Bachelors,13,Never-married,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K -72,Private,53684,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K -29,Private,183627,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,73203,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -57,Private,108426,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,48,England,<=50K -50,Private,116287,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,Columbia,<=50K -45,Self-emp-inc,145697,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -52,Private,326156,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -53,Private,201127,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -36,Private,250791,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,<=50K -46,Private,328216,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -20,Private,400443,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -75,Private,95985,5th-6th,3,Widowed,Other-service,Unmarried,Black,Male,0,0,10,United-States,<=50K -32,Local-gov,127651,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,Private,250679,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,103950,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,200199,11th,7,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -46,State-gov,295791,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -39,Private,191841,Assoc-acdm,12,Separated,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -38,Private,82622,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -36,Private,160728,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K -63,Local-gov,109849,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,21,United-States,<=50K -28,Private,339897,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,Mexico,<=50K -28,?,37215,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,45,United-States,<=50K -49,Private,371299,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -43,Private,421837,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -38,Private,29702,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -39,Private,117381,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,62,England,<=50K -42,?,240027,HS-grad,9,Divorced,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -40,Private,338740,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -45,?,28359,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,10,United-States,<=50K -29,?,315026,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Federal-gov,314525,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,1741,45,United-States,<=50K -30,Private,173005,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -44,Private,286750,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -40,Private,163985,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,24,United-States,<=50K -30,Private,219318,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,35,Puerto-Rico,<=50K -42,Private,44121,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,1876,40,United-States,<=50K -52,Self-emp-not-inc,103794,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -42,Private,310632,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -39,Private,153976,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K -43,Private,174575,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Male,0,0,45,United-States,<=50K -62,Self-emp-not-inc,82388,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,10566,0,40,United-States,<=50K -30,Private,207253,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,England,<=50K -83,?,251951,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -39,Private,746786,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -41,Private,308296,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,20,United-States,<=50K -49,Private,101825,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,40,United-States,>50K -25,Private,109009,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,413363,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2002,40,United-States,<=50K -59,?,117751,Assoc-acdm,12,Divorced,?,Not-in-family,White,Male,0,0,8,United-States,<=50K -44,State-gov,296326,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,208358,9th,5,Divorced,Handlers-cleaners,Not-in-family,White,Male,4650,0,56,United-States,<=50K -40,Private,120277,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,Ireland,<=50K -21,Private,193219,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,35,Jamaica,<=50K -41,Private,86399,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -24,Private,215251,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -67,Self-emp-not-inc,124470,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -24,Private,228649,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,38,United-States,<=50K -50,Self-emp-not-inc,386397,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -48,Private,96798,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K -55,?,106707,Assoc-acdm,12,Married-civ-spouse,?,Husband,Black,Male,0,0,20,United-States,>50K -29,Private,159768,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,3325,0,40,Ecuador,<=50K -50,Private,139464,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,36,Ireland,<=50K -64,State-gov,550848,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -49,Private,68505,9th,5,Divorced,Other-service,Not-in-family,Black,Male,0,0,37,United-States,<=50K -20,Private,122215,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,52,United-States,<=50K -30,Private,159442,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,80638,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,30,China,<=50K -52,Private,192390,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -22,Private,191324,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,25,United-States,<=50K -77,?,147284,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,14,United-States,<=50K -19,State-gov,73009,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K -52,Private,177858,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,55,United-States,>50K -42,Private,163003,Bachelors,13,Married-spouse-absent,Tech-support,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -35,Private,95551,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Female,0,0,36,United-States,<=50K -27,Private,125298,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K -54,State-gov,198186,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,38,United-States,<=50K -37,Private,295949,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1628,40,United-States,<=50K -37,Private,182668,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K -28,Private,124905,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -63,Private,171635,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,376240,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,42,United-States,<=50K -28,Private,157391,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -23,?,114357,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,178134,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -31,Private,207201,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -35,Private,124483,Bachelors,13,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,50,?,>50K -64,Private,102103,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,50,United-States,<=50K -40,Private,92036,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -59,Local-gov,236426,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -22,Private,400966,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,404573,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,44,United-States,<=50K -35,Private,227571,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -20,Private,145917,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -35,Local-gov,190226,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,356555,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K -28,Private,66473,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -37,?,172256,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -72,?,118902,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,2392,6,United-States,>50K -25,Self-emp-inc,163039,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -37,Private,89559,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -19,?,35507,Some-college,10,Never-married,?,Own-child,White,Female,0,0,45,United-States,<=50K -31,Private,163303,Assoc-voc,11,Divorced,Sales,Own-child,White,Female,0,0,38,United-States,<=50K -41,Private,192712,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -31,Private,381153,10th,6,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -44,Private,222434,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,34706,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,47,United-States,<=50K -57,Self-emp-not-inc,47857,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,195216,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,12,United-States,<=50K -44,Self-emp-inc,103643,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,60,Greece,<=50K -29,Local-gov,329426,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,183612,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K -40,Private,184105,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -21,Private,211385,Assoc-acdm,12,Never-married,Other-service,Not-in-family,Black,Male,0,0,35,Jamaica,<=50K -21,Private,61777,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,70,United-States,<=50K -34,Self-emp-not-inc,320194,Prof-school,15,Separated,Prof-specialty,Unmarried,White,Male,0,0,48,United-States,>50K -24,Private,199444,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,15,United-States,<=50K -28,Private,312588,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,168675,HS-grad,9,Separated,Transport-moving,Own-child,White,Male,0,0,50,United-States,<=50K -35,Private,87556,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,State-gov,220421,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Federal-gov,404599,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -39,Private,99065,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,Poland,>50K -57,Local-gov,109973,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,246652,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,57423,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -23,Private,291248,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Male,0,0,40,United-States,<=50K -50,Private,163708,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Self-emp-not-inc,240358,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -28,Private,25955,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -44,Private,101593,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -29,Self-emp-not-inc,227890,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -31,Private,225053,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -27,Private,228472,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -34,Private,245378,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -50,Self-emp-inc,156623,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,7688,0,50,Philippines,>50K -27,Private,35032,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -31,Private,258849,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -46,Private,190115,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -39,Private,63910,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -40,Private,510072,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -28,Private,210867,11th,7,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,263024,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -51,Private,306785,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Self-emp-inc,104333,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -66,Private,340734,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,288585,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,20,South,<=50K -38,Private,241765,11th,7,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,60,United-States,<=50K -25,Private,111058,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,104662,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,22,United-States,<=50K -90,Private,313986,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -41,Local-gov,52037,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -34,?,146589,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -33,Private,131776,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,914,0,40,Germany,<=50K -33,Private,254221,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,152909,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,45,United-States,>50K -39,Self-emp-not-inc,211785,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Female,0,0,20,United-States,<=50K -59,Private,160362,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -19,Private,387215,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,1719,16,United-States,<=50K -39,Private,187046,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4064,0,38,United-States,<=50K -19,?,208874,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,169631,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -52,Private,202956,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -59,Self-emp-not-inc,80467,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -28,Private,407672,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,243425,HS-grad,9,Divorced,Other-service,Other-relative,White,Female,0,0,50,Peru,<=50K -50,?,174964,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,99,United-States,<=50K -36,Private,347491,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -34,Private,146161,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -23,Private,449432,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -19,?,175499,11th,7,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -33,Private,288825,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,2258,84,United-States,<=50K -27,Local-gov,134813,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,52,United-States,<=50K -31,Local-gov,190401,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,260617,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,36,United-States,<=50K -31,Private,45604,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,54,United-States,<=50K -59,Private,67841,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -40,Local-gov,244522,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,48,United-States,>50K -19,Private,430471,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,194698,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -34,Private,94235,Bachelors,13,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -57,Private,188330,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,78,United-States,<=50K -51,Local-gov,146181,9th,5,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -21,Private,177125,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,20,United-States,<=50K -30,Self-emp-inc,68330,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,95636,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K -40,Private,238329,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -52,Private,416129,Preschool,1,Married-civ-spouse,Other-service,Not-in-family,White,Male,0,0,40,El-Salvador,<=50K -23,Private,285004,Bachelors,13,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,50,Taiwan,<=50K -90,?,256514,Bachelors,13,Widowed,?,Other-relative,White,Female,991,0,10,United-States,<=50K -25,Private,186294,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -43,Private,188786,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -38,State-gov,31352,Some-college,10,Divorced,Protective-serv,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,>50K -22,Private,197613,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -33,Local-gov,161942,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,1055,0,40,United-States,<=50K -34,Private,275438,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,40,United-States,>50K -65,Private,361721,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K -50,Private,144968,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,15,United-States,<=50K -29,Private,190539,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,6849,0,48,United-States,<=50K -25,Private,178037,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,306985,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,87928,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -44,Private,242619,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,154165,9th,5,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,511331,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K -65,Local-gov,221026,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K -56,Self-emp-not-inc,222182,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,45,United-States,<=50K -39,Self-emp-not-inc,126569,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K -23,Private,202344,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -20,Private,190423,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -24,Private,238917,5th-6th,3,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,El-Salvador,<=50K -41,Private,221947,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K -40,Self-emp-inc,37997,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -55,Private,147098,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -38,Private,278253,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K -23,Private,195411,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -44,Private,76196,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -45,Private,120131,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -20,Self-emp-not-inc,186014,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,Germany,<=50K -29,Private,205903,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -43,State-gov,125405,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,219838,12th,8,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,State-gov,19395,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -31,Private,223327,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -52,Private,114062,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,95654,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,Iran,>50K -38,Private,177305,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -66,?,299616,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -63,Self-emp-not-inc,117681,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,237651,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -33,State-gov,150570,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,State-gov,106705,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,1506,0,50,United-States,<=50K -20,?,174714,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -47,Self-emp-inc,175958,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,3325,0,60,United-States,<=50K -33,Private,144064,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -66,?,107112,7th-8th,4,Never-married,?,Other-relative,Black,Male,0,0,30,United-States,<=50K -20,Private,54152,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,?,<=50K -28,Private,152951,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,190487,HS-grad,9,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,28,Ecuador,<=50K -25,Private,306666,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,45,United-States,<=50K -37,Private,195148,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,White,Male,3137,0,40,United-States,<=50K -31,Self-emp-not-inc,226624,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -49,Private,157569,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,State-gov,22966,Some-college,10,Married-spouse-absent,Tech-support,Unmarried,White,Male,0,0,20,United-States,<=50K -52,Private,379682,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,White,Female,0,0,20,United-States,>50K -29,Private,446559,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K -18,Private,41794,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -31,Local-gov,90409,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -23,Private,125491,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Vietnam,<=50K -27,?,129661,Assoc-voc,11,Married-civ-spouse,?,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,>50K -54,Self-emp-not-inc,104748,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K -50,Local-gov,169182,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,49,Dominican-Republic,<=50K -46,Private,324655,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,1902,40,?,>50K -24,Private,122272,Bachelors,13,Never-married,Farming-fishing,Own-child,White,Female,0,0,40,United-States,<=50K -17,?,114798,11th,7,Never-married,?,Own-child,White,Female,0,0,18,United-States,<=50K -49,Self-emp-inc,289707,HS-grad,9,Separated,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -54,Local-gov,137691,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -41,Private,84610,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,United-States,>50K -49,Private,166789,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -36,Local-gov,348728,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -23,Private,348092,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,Haiti,<=50K -63,Private,154526,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -67,Private,288371,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Canada,>50K -23,Private,182342,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,244366,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -66,Private,102423,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,United-States,<=50K -25,Private,259688,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,98733,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,20,United-States,<=50K -35,Private,174856,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,2885,0,40,United-States,<=50K -67,Self-emp-not-inc,141797,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,327202,12th,8,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -26,Private,76996,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,38,United-States,<=50K -34,Private,260560,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,370990,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,129010,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,10,United-States,<=50K -21,Private,452640,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -76,Self-emp-inc,120796,9th,5,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -51,Federal-gov,45334,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,70,?,<=50K -26,Private,229523,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,56,United-States,<=50K -18,Private,127388,12th,8,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -18,?,395567,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,119422,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1672,50,United-States,<=50K -59,Private,193895,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Private,163083,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,14084,0,45,United-States,>50K -33,Self-emp-not-inc,155343,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,72,United-States,<=50K -25,Private,73895,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -48,Private,107682,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,10,United-States,<=50K -64,Private,321166,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,5,United-States,<=50K -47,Local-gov,154940,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K -26,Private,103700,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,63509,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K -21,Private,243842,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -54,?,187221,7th-8th,4,Never-married,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -30,Private,58597,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,44,United-States,<=50K -41,Self-emp-not-inc,190290,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,?,158352,Masters,14,Never-married,?,Not-in-family,White,Female,8614,0,35,United-States,>50K -34,Private,62165,Some-college,10,Never-married,Sales,Other-relative,Black,Male,0,0,30,United-States,<=50K -20,?,307149,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -24,Private,280134,10th,6,Never-married,Sales,Not-in-family,White,Male,0,0,49,El-Salvador,<=50K -26,Private,118736,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -25,Private,171114,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,48,United-States,<=50K -35,Private,169638,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,36,United-States,<=50K -41,Private,125461,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -33,Private,145434,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,152182,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -27,Self-emp-inc,233724,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K -32,Private,153963,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -51,Local-gov,88120,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -38,Private,96330,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -41,Local-gov,66118,Some-college,10,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,25,United-States,<=50K -26,Private,182178,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,40,United-States,<=50K -38,Self-emp-not-inc,53628,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Male,0,0,35,United-States,<=50K -54,Private,174865,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -30,Private,66194,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,Outlying-US(Guam-USVI-etc),<=50K -31,Private,73796,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K -26,State-gov,28366,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -75,Self-emp-not-inc,231741,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,4931,0,3,United-States,<=50K -29,Private,237865,Masters,14,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -61,Private,195453,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -24,Private,116934,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K -22,?,87867,12th,8,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -34,Private,456399,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,263608,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,263498,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,183765,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,?,<=50K -27,Federal-gov,469705,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,1980,40,United-States,<=50K -39,Local-gov,113253,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -20,Private,138768,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,302146,11th,7,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -68,Private,253866,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -28,Federal-gov,214858,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,48,United-States,<=50K -43,Private,243476,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,169104,Some-college,10,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,103218,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -41,Private,57233,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,228320,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -20,Private,217421,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -46,Private,185041,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,75,United-States,>50K -27,Self-emp-not-inc,37302,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,70,United-States,>50K -32,Private,261059,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -46,Private,59767,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -26,Private,333541,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,24,United-States,<=50K -20,Private,133352,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -36,Private,99270,HS-grad,9,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,40,United-States,<=50K -49,Private,204629,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -32,Private,34104,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,55,United-States,>50K -32,Private,312667,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -49,Private,329603,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K -36,Private,281021,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -22,Private,275385,Some-college,10,Never-married,Other-service,Other-relative,White,Male,0,0,25,United-States,<=50K -52,Federal-gov,129177,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,385591,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -22,?,201179,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -72,Private,38360,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,16,United-States,<=50K -30,Local-gov,73796,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,67671,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,257621,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -22,Private,180052,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -59,Private,656036,Bachelors,13,Separated,Adm-clerical,Unmarried,White,Male,0,0,60,United-States,<=50K -46,Private,215943,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,488720,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -64,Federal-gov,199298,7th-8th,4,Widowed,Other-service,Unmarried,White,Female,0,0,30,Puerto-Rico,<=50K -31,Private,305692,Some-college,10,Married-civ-spouse,Sales,Wife,Black,Female,0,0,40,United-States,<=50K -64,Private,114994,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -45,Private,88265,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -59,Private,168569,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K -32,Private,175413,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,Jamaica,<=50K -43,Private,161226,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -66,?,160995,10th,6,Divorced,?,Not-in-family,White,Female,1086,0,20,United-States,<=50K -23,Private,208598,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -49,Self-emp-not-inc,200471,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,256609,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -49,Private,176684,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,206512,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,212640,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,85,United-States,<=50K -47,Private,148724,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,<=50K -41,Private,266510,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -34,Local-gov,240252,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -25,Private,358975,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -20,?,124242,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -21,Private,434710,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K -25,Private,204338,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,30,?,<=50K -46,Private,241844,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,191342,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,<=50K -41,Private,221947,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,>50K -44,Private,111483,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,1504,50,United-States,<=50K -30,Private,65278,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -54,Private,133403,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,166416,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K -58,?,142158,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,12,United-States,<=50K -21,Private,221480,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,25,Ecuador,<=50K -35,Self-emp-not-inc,189878,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -35,Private,278403,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,>50K -19,Private,184710,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -48,Private,177775,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,?,275943,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,Nicaragua,<=50K -65,Self-emp-not-inc,225473,Some-college,10,Widowed,Craft-repair,Not-in-family,White,Female,0,0,35,United-States,<=50K -40,Private,289403,Bachelors,13,Separated,Adm-clerical,Unmarried,Black,Male,0,0,35,United-States,<=50K -26,Private,269060,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,449354,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,214413,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,80058,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,202027,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,27828,0,50,United-States,>50K -22,Self-emp-not-inc,123440,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K -37,Private,191524,Assoc-voc,11,Separated,Prof-specialty,Own-child,White,Female,0,0,38,United-States,<=50K -25,Private,308144,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -64,Private,164204,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,53,?,<=50K -46,Private,205100,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -30,Private,195750,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,27,United-States,<=50K -63,Private,149756,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -51,Local-gov,240358,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -68,Self-emp-not-inc,241174,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,16,United-States,<=50K -36,Private,356838,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,Canada,<=50K -28,Self-emp-inc,115705,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -41,Local-gov,137142,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,296066,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,401335,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -33,?,182771,Bachelors,13,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,80,Philippines,<=50K -34,Self-emp-inc,186824,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -46,Federal-gov,162187,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -28,Private,98010,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,172538,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K -18,Private,80163,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -33,Local-gov,43959,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -51,Private,162632,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,60,United-States,>50K -56,Self-emp-not-inc,115422,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -54,Private,100933,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,270379,HS-grad,9,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -40,Private,20109,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Female,0,0,84,United-States,<=50K -53,Private,114758,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,65,United-States,>50K -22,Private,100345,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -33,Private,184901,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -28,Private,87239,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -63,Private,127363,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,12,United-States,<=50K -53,Federal-gov,199720,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,Germany,>50K -37,Private,143058,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -50,Federal-gov,36489,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -22,Private,141698,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -40,Federal-gov,26358,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,195532,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,8614,0,40,United-States,>50K -21,Private,30039,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,125159,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,Jamaica,<=50K -20,Private,246250,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Federal-gov,77370,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,355569,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -32,Private,180603,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -42,Private,201785,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -33,Private,256211,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K -27,Private,146764,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -22,?,211968,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,Iran,<=50K -29,Private,200515,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,<=50K -29,Private,52636,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,27049,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K -35,Private,111128,10th,6,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -31,Self-emp-not-inc,348038,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,Puerto-Rico,>50K -33,Private,93930,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -67,Private,397831,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1539,40,United-States,<=50K -46,Private,33794,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,10,United-States,<=50K -45,Private,178215,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,>50K -17,Local-gov,191910,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -35,Private,340110,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,70,United-States,>50K -48,Self-emp-not-inc,133694,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,Black,Male,0,0,40,Jamaica,>50K -49,Private,148398,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -20,Private,133515,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -27,Private,181667,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5013,0,46,Canada,<=50K -64,Private,159715,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -53,Federal-gov,174040,Some-college,10,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -52,Private,117700,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,37215,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -32,Self-emp-inc,46807,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K -48,Self-emp-not-inc,317360,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K -30,Private,425627,Some-college,10,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K -34,Private,82623,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -19,?,63574,Some-college,10,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K -39,Private,140854,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -28,Private,185061,11th,7,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -17,Private,160118,12th,8,Never-married,Sales,Not-in-family,White,Female,0,0,10,?,<=50K -54,Private,282680,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -24,Private,137591,Some-college,10,Never-married,Sales,Own-child,White,Male,0,1762,40,United-States,<=50K -25,Private,198163,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,132749,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,12,United-States,<=50K -48,Local-gov,31264,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,5178,0,40,United-States,>50K -24,Private,399449,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -31,Private,27494,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,50,Taiwan,<=50K -47,Private,368561,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -45,Private,102096,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,>50K -19,Private,406078,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -52,Self-emp-inc,100506,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -52,Private,29658,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -19,?,20469,HS-grad,9,Never-married,?,Other-relative,Asian-Pac-Islander,Female,0,0,12,South,<=50K -60,Private,181953,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,28,United-States,<=50K -43,Private,304175,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -24,Private,170070,Assoc-acdm,12,Divorced,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -20,?,193416,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -51,Private,194908,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,357962,9th,5,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,214716,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -40,Self-emp-inc,207578,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -54,Private,146409,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,341643,Bachelors,13,Never-married,Other-service,Other-relative,White,Male,0,0,50,United-States,<=50K -52,Private,131631,11th,7,Separated,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K -53,Private,88842,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K -56,?,128900,Some-college,10,Widowed,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -35,Private,417136,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,336763,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,880,42,United-States,<=50K -29,Private,209301,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,<=50K -29,Private,120986,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,65,United-States,<=50K -27,Private,51025,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Private,218281,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K -64,Private,114994,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,18,United-States,<=50K -53,Private,335481,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,32,United-States,<=50K -21,Private,174503,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -40,Self-emp-not-inc,230478,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K -52,State-gov,149650,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Iran,>50K -38,Private,149419,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K -40,?,341539,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -39,Private,185099,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -56,?,132930,Masters,14,Never-married,?,Not-in-family,White,Female,0,0,50,United-States,>50K -68,Private,128472,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -24,Private,124971,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K -40,Self-emp-inc,344060,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -43,Self-emp-inc,286750,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,99,United-States,>50K -38,Private,296999,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,70,United-States,<=50K -45,Private,123681,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -18,Private,232024,11th,7,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,55,United-States,<=50K -57,Local-gov,52267,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -49,Private,119182,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K -25,Private,191230,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,Yugoslavia,<=50K -52,Federal-gov,23780,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Private,184553,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,56,United-States,<=50K -26,Self-emp-inc,242651,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K -19,Private,246226,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Self-emp-inc,86745,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -25,Private,106889,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K -21,Private,460835,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,45,United-States,<=50K -48,Self-emp-not-inc,213140,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,<=50K -33,State-gov,37070,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,Canada,<=50K -31,State-gov,93589,HS-grad,9,Divorced,Protective-serv,Own-child,Other,Male,0,0,40,United-States,<=50K -26,Self-emp-not-inc,213258,HS-grad,9,Divorced,Farming-fishing,Unmarried,White,Male,0,0,65,United-States,<=50K -37,State-gov,46814,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K -29,?,168873,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,30,United-States,<=50K -20,Private,284737,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -28,Private,309620,Some-college,10,Married-civ-spouse,Sales,Husband,Other,Male,0,0,60,?,<=50K -49,Private,197418,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -73,?,132737,10th,6,Never-married,?,Not-in-family,White,Male,0,0,4,United-States,<=50K -49,Private,185041,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K -51,Private,159604,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -40,Private,123557,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,275421,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -18,Private,167147,12th,8,Never-married,Sales,Own-child,White,Male,0,0,24,United-States,<=50K -41,Private,197583,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -46,Private,175109,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1485,40,United-States,>50K -46,Private,117502,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -64,Private,180401,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -50,Self-emp-not-inc,146603,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -53,State-gov,143822,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,>50K -21,Private,51985,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,State-gov,48121,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K -37,Private,234807,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,7430,0,45,United-States,>50K -39,Federal-gov,65324,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K -30,Private,302149,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K -25,Private,168403,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,1741,40,United-States,<=50K -26,Private,159897,Some-college,10,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -43,Private,416338,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -59,Private,370615,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,60,United-States,<=50K -27,Private,219371,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,Jamaica,<=50K -55,Private,120970,10th,6,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -20,Private,22966,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,12,Canada,<=50K -25,Private,34541,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,36,Canada,<=50K -28,Private,191027,Assoc-acdm,12,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,107458,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -60,Private,121832,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -37,Local-gov,233825,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,50,United-States,>50K -25,Private,73839,11th,7,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,109165,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -50,State-gov,103063,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -41,Self-emp-not-inc,29762,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,5013,0,70,United-States,<=50K -46,Private,111979,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,<=50K -35,Private,150125,Assoc-voc,11,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -21,?,301853,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -35,?,296738,11th,7,Separated,?,Not-in-family,White,Female,6849,0,60,United-States,<=50K -40,Private,118001,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -49,Private,149337,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -29,Private,36601,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -43,Local-gov,118600,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,625,40,United-States,<=50K -39,Private,279272,Assoc-acdm,12,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,60,United-States,<=50K -35,Private,181020,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,60,United-States,<=50K -52,Private,165998,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,218136,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,Outlying-US(Guam-USVI-etc),<=50K -20,Self-emp-inc,182200,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K -46,Private,39363,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,10,?,<=50K -24,Private,140001,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,193260,Bachelors,13,Married-civ-spouse,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,30,India,<=50K -21,Private,191243,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -37,Federal-gov,207887,Bachelors,13,Divorced,Exec-managerial,Other-relative,White,Female,0,0,50,United-States,<=50K -43,Federal-gov,211450,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,184759,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,26,United-States,<=50K -47,Private,197836,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -61,Private,232308,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -21,?,189888,Assoc-acdm,12,Never-married,?,Not-in-family,White,Male,0,0,55,United-States,<=50K -35,Private,301614,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K -60,Private,146674,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -27,Private,225291,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Local-gov,148509,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,35,India,<=50K -56,Private,136413,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,126060,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,73064,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,35,United-States,<=50K -19,Private,39026,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -28,Self-emp-not-inc,33035,12th,8,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -43,Private,193494,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -63,Local-gov,147440,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -22,?,153131,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,64671,HS-grad,9,Divorced,Handlers-cleaners,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -35,Self-emp-not-inc,225399,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,8614,0,40,United-States,>50K -20,Private,174391,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -48,Private,377757,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K -30,Local-gov,364310,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,Germany,<=50K -31,Private,110643,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,Private,70240,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,24,Philippines,<=50K -57,State-gov,32694,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -41,Private,95047,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,44,United-States,>50K -33,Private,264936,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -27,Private,367329,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,56026,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -22,Private,186452,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -50,Private,125417,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,>50K -40,Self-emp-not-inc,242082,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -37,Private,31023,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,51,United-States,<=50K -40,?,397346,Assoc-acdm,12,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,424079,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K -38,Self-emp-not-inc,108947,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7688,0,40,United-States,>50K -25,State-gov,261979,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,55507,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -22,?,291407,12th,8,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -18,Private,353358,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -41,Private,67339,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,7688,0,40,United-States,>50K -33,Private,235109,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,208180,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -67,State-gov,423561,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,145290,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,50,United-States,>50K -24,Private,403671,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Local-gov,49325,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,370494,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -25,Private,267012,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -33,Private,191856,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Private,80445,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,379798,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -32,Local-gov,168387,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -18,Private,301948,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,34095,0,3,United-States,<=50K -36,Private,274809,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K -58,Private,233193,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,27,United-States,<=50K -34,Private,299635,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -19,Private,236396,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,688355,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,Self-emp-inc,37019,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -37,Private,148015,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,15024,0,40,United-States,>50K -43,Private,122975,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,21,Trinadad&Tobago,<=50K -52,State-gov,349795,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,229846,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,40,?,<=50K -43,Private,108945,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K -22,Private,237498,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -57,Private,188872,5th-6th,3,Divorced,Transport-moving,Unmarried,White,Male,6497,0,40,United-States,<=50K -37,Private,324019,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,82488,Some-college,10,Divorced,Sales,Unmarried,Asian-Pac-Islander,Female,0,0,38,United-States,<=50K -54,Private,206964,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -27,Private,37088,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,152540,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -65,Private,143554,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -30,Private,126242,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -22,Private,127185,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,164018,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,4064,0,50,United-States,<=50K -25,Private,210184,11th,7,Separated,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -35,?,117528,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,>50K -47,Private,124973,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -23,Private,182117,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,60,United-States,<=50K -42,Private,220049,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K -39,Self-emp-not-inc,247975,Some-college,10,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K -55,Private,50164,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -24,State-gov,123160,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,10,China,<=50K -46,Self-emp-inc,219962,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,?,>50K -53,Private,79324,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -44,Private,129100,11th,7,Separated,Other-service,Unmarried,Black,Female,0,0,60,United-States,<=50K -40,Private,210275,HS-grad,9,Separated,Transport-moving,Unmarried,Black,Female,0,0,40,United-States,<=50K -48,Private,189462,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -26,Private,171114,Assoc-voc,11,Separated,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -22,Private,201799,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -35,?,200426,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,12,United-States,<=50K -20,?,24395,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,20,United-States,<=50K -43,Private,191149,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Local-gov,34173,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,United-States,<=50K -30,Private,350979,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K -41,Private,147314,HS-grad,9,Married-civ-spouse,Sales,Husband,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K -38,Private,136081,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -77,?,232894,9th,5,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,373403,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -20,Private,120601,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -36,Private,130926,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,3674,0,40,United-States,<=50K -32,Federal-gov,72338,Assoc-voc,11,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -27,Private,129624,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -25,State-gov,328697,Some-college,10,Divorced,Protective-serv,Other-relative,White,Male,0,0,45,United-States,<=50K -40,Private,191196,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,?,191117,11th,7,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -49,Private,110243,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -17,Private,181580,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -29,Private,89030,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Private,345493,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,99999,0,55,Taiwan,>50K -24,Self-emp-not-inc,277700,Some-college,10,Separated,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K -58,?,198478,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K -29,Private,250679,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,168837,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,24,Canada,>50K -30,Private,142675,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -19,Private,299050,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -59,Private,107833,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1485,40,United-States,>50K -47,Private,121958,7th-8th,4,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -41,Private,282948,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,3137,0,40,United-States,<=50K -28,Private,176683,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,France,<=50K -46,Private,34377,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -40,Self-emp-not-inc,209833,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -66,State-gov,41506,10th,6,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -30,Local-gov,125159,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,14084,0,45,?,>50K -44,Self-emp-not-inc,147206,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,12,United-States,<=50K -58,Self-emp-not-inc,93664,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -21,Private,315065,7th-8th,4,Never-married,Other-service,Other-relative,White,Male,0,0,48,Mexico,<=50K -59,Private,381851,9th,5,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Local-gov,185769,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,186272,9th,5,Married-civ-spouse,Adm-clerical,Husband,Black,Male,5178,0,40,United-States,>50K -30,Private,312667,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,343925,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,Jamaica,<=50K -26,Private,195994,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K -48,Private,398843,Some-college,10,Separated,Sales,Unmarried,Black,Female,0,0,35,United-States,<=50K -31,Private,73514,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -36,Private,288049,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -48,Private,54759,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K -30,Private,155343,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -33,Private,401104,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,>50K -19,?,124884,9th,5,Never-married,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -37,Local-gov,287306,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,Black,Female,99999,0,40,?,>50K -53,Private,113995,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -18,Private,146378,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,?,<=50K -38,Private,111499,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,50,United-States,>50K -34,Private,34374,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -45,Private,162187,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K -33,Local-gov,147654,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -35,Private,182467,Assoc-voc,11,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,44,United-States,<=50K -22,Private,183970,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -35,Private,332588,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -45,Private,26781,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,8,United-States,<=50K -17,Private,48610,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,45,United-States,<=50K -50,Private,162632,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -38,Local-gov,91711,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -33,Private,198003,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,United-States,>50K -46,Private,179048,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,?,<=50K -25,Private,262778,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,6849,0,50,United-States,<=50K -64,Private,102470,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -62,Self-emp-not-inc,123170,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,10,United-States,<=50K -32,Private,164243,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,>50K -17,Private,262511,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -61,Private,51170,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -40,State-gov,91949,Doctorate,16,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -21,Private,123727,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K -39,Private,173175,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -35,Self-emp-not-inc,120301,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -29,Private,250967,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -27,Federal-gov,285432,Assoc-acdm,12,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -20,Private,36235,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,?,317219,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,>50K -51,Local-gov,110965,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,123283,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,15,United-States,<=50K -20,?,249087,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -31,Private,152940,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,376680,HS-grad,9,Never-married,Tech-support,Own-child,Black,Male,0,0,40,United-States,<=50K -56,Private,231232,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,Canada,<=50K -55,Self-emp-not-inc,168625,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,12,United-States,>50K -26,Private,33939,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,20,United-States,<=50K -46,Private,155659,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,45,United-States,>50K -32,Local-gov,190228,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,216178,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,587310,7th-8th,4,Never-married,Other-service,Other-relative,White,Male,0,0,35,Guatemala,<=50K -23,Private,155919,9th,5,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -59,Private,227386,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,138152,12th,8,Never-married,Craft-repair,Other-relative,Other,Male,0,0,48,Guatemala,<=50K -36,Private,167482,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,57957,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -33,Private,157747,9th,5,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,70,United-States,<=50K -60,Self-emp-not-inc,88570,Assoc-voc,11,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,15,Germany,>50K -40,Private,273308,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,48,Mexico,<=50K -48,Private,216292,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,43,United-States,<=50K -27,Self-emp-not-inc,131298,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -19,Private,386378,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -38,Private,179668,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -26,Private,210812,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,43,United-States,<=50K -45,Federal-gov,311671,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,3908,0,40,United-States,<=50K -20,Private,215247,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -32,Federal-gov,125856,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -22,Private,74631,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,13,United-States,<=50K -22,Private,24008,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,State-gov,354591,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,114,0,38,United-States,<=50K -34,Private,155343,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,50,United-States,>50K -46,Private,308334,1st-4th,2,Widowed,Other-service,Unmarried,Other,Female,0,0,30,Mexico,<=50K -39,Private,245361,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,25,United-States,<=50K -79,Self-emp-not-inc,158319,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -60,?,204486,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,>50K -24,Private,314823,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,Dominican-Republic,<=50K -31,Private,211334,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2407,0,65,United-States,<=50K -37,Self-emp-not-inc,73199,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,3137,0,77,Vietnam,<=50K -23,Private,126550,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -31,Private,260782,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1579,45,El-Salvador,<=50K -29,Private,114224,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -22,State-gov,64292,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,43,United-States,<=50K -69,?,628797,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -55,Local-gov,219775,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K -43,Private,212894,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -23,Private,260019,7th-8th,4,Never-married,Farming-fishing,Unmarried,Other,Male,0,0,36,Mexico,<=50K -29,Private,228075,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,35,Mexico,<=50K -22,Private,239806,Assoc-voc,11,Never-married,Other-service,Other-relative,White,Female,0,0,40,Mexico,<=50K -22,Private,324637,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K -25,Private,163620,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,84,United-States,>50K -29,Private,194200,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,45,United-States,<=50K -25,State-gov,129200,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -33,Federal-gov,207172,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,135312,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -31,Private,100734,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,28,United-States,<=50K -30,Local-gov,226443,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,45,United-States,>50K -55,Private,110871,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,192704,12th,8,Never-married,Exec-managerial,Not-in-family,White,Male,4650,0,50,United-States,<=50K -47,?,224108,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,78870,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,8614,0,40,United-States,>50K -42,Private,107762,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -51,Private,183611,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Male,0,0,55,Germany,<=50K -62,Local-gov,249078,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -65,Self-emp-inc,208452,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K -23,Private,302195,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -60,?,199947,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K -47,Private,379118,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,60,United-States,>50K -50,Self-emp-inc,174855,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -70,?,173736,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K -32,Self-emp-not-inc,39369,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Federal-gov,196348,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,340917,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,14344,0,40,United-States,>50K -76,Private,97077,10th,6,Widowed,Sales,Unmarried,Black,Female,0,0,12,United-States,<=50K -54,Private,200098,Bachelors,13,Divorced,Sales,Not-in-family,Black,Female,0,0,60,United-States,<=50K -32,Federal-gov,127651,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -31,Private,315128,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,52,United-States,<=50K -31,Federal-gov,206823,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,50,United-States,>50K -65,Self-emp-not-inc,316093,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,1668,40,United-States,<=50K -30,Private,112115,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,Ireland,>50K -63,?,203821,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,250051,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K -40,Federal-gov,298635,Masters,14,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,1902,40,Philippines,>50K -26,State-gov,109193,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,130849,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,8,United-States,<=50K -34,Local-gov,43959,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -66,Local-gov,222810,Some-college,10,Divorced,Other-service,Other-relative,White,Female,7896,0,40,?,>50K -44,Self-emp-not-inc,27242,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K -30,Private,53158,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,206520,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,164190,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -22,Private,287988,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K -28,?,200819,7th-8th,4,Divorced,?,Own-child,White,Male,0,0,84,United-States,<=50K -23,Private,83891,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -49,Private,65087,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -39,Self-emp-not-inc,363418,Bachelors,13,Separated,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -67,?,182378,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,9386,0,60,United-States,>50K -19,Private,278870,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K -30,Private,174789,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,50,United-States,>50K -25,Private,228608,Some-college,10,Never-married,Craft-repair,Other-relative,Asian-Pac-Islander,Female,0,0,40,Cambodia,<=50K -24,Private,184400,HS-grad,9,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,30,?,<=50K -46,Private,263568,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,117381,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -41,Federal-gov,83411,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,49156,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -44,Private,421449,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,238944,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,188982,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,20,United-States,>50K -48,Private,175925,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -34,Private,164190,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,232914,Assoc-voc,11,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -46,Self-emp-inc,120121,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -36,Local-gov,180805,HS-grad,9,Never-married,Transport-moving,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -59,Local-gov,161944,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K -29,Private,319149,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Mexico,<=50K -50,?,22428,Masters,14,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,290528,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,123984,Assoc-acdm,12,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Philippines,<=50K -48,Private,34186,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -51,Federal-gov,282680,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,1564,70,United-States,>50K -36,Private,183892,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,8614,0,45,United-States,>50K -42,Local-gov,195124,11th,7,Divorced,Sales,Unmarried,White,Male,7430,0,50,Puerto-Rico,>50K -49,State-gov,55938,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -33,Private,209900,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,20,United-States,<=50K -40,Private,179717,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,1564,60,United-States,>50K -26,Private,150361,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -69,?,164102,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,>50K -59,Private,252714,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,Italy,<=50K -30,Private,205204,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -31,Local-gov,168906,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K -30,Private,112115,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -27,Private,116531,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,?,202994,Some-college,10,Never-married,?,Own-child,White,Female,0,0,16,United-States,<=50K -56,Private,191917,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,4101,0,40,United-States,<=50K -24,Private,341294,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,216734,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K -51,Private,182187,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,35,United-States,<=50K -34,Private,424988,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -47,Private,379118,HS-grad,9,Divorced,Other-service,Unmarried,Black,Male,0,0,9,United-States,<=50K -47,Private,168232,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,44,United-States,>50K -20,Private,147171,Some-college,10,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -34,Self-emp-inc,207668,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,54,?,>50K -31,Private,193650,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,200187,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -52,Private,188644,5th-6th,3,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K -56,Private,398067,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Private,29658,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Private,154966,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -81,Private,364099,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -28,?,291374,10th,6,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -57,Federal-gov,97837,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,>50K -34,Private,117983,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,?,345497,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,64167,Assoc-voc,11,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -20,Private,315877,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,2001,40,United-States,<=50K -68,Federal-gov,232151,Some-college,10,Divorced,Adm-clerical,Other-relative,Black,Female,2346,0,40,United-States,<=50K -60,Private,225526,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K -37,Federal-gov,289653,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,179462,7th-8th,4,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -36,Federal-gov,67317,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,77764,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,253438,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -31,Private,150309,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Female,0,0,70,United-States,<=50K -47,Self-emp-not-inc,83064,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -60,Self-emp-not-inc,376973,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K -75,Private,311184,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,24,United-States,<=50K -43,Local-gov,159449,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,168288,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,74883,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,0,1092,40,Philippines,<=50K -20,Private,275190,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -32,Private,189838,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -57,Self-emp-inc,101338,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -43,Private,331894,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -18,Self-emp-not-inc,40293,HS-grad,9,Never-married,Farming-fishing,Other-relative,White,Male,0,0,40,United-States,<=50K -41,Local-gov,88904,Bachelors,13,Separated,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -48,Private,145041,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Dominican-Republic,<=50K -35,Private,46385,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,90,United-States,>50K -41,State-gov,363591,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,183327,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Female,0,1594,20,United-States,<=50K -32,State-gov,182556,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,45,United-States,>50K -33,Private,267859,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,El-Salvador,<=50K -58,Private,190747,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,162869,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,65,United-States,<=50K -33,Private,141229,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -42,Self-emp-not-inc,174216,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -25,Private,366416,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -39,Private,172538,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -35,Private,193026,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -50,Private,184424,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1902,38,United-States,>50K -49,Local-gov,337768,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -25,Local-gov,179059,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -47,Federal-gov,99549,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -46,Private,72619,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -42,State-gov,55764,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -37,Private,30267,11th,7,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,>50K -25,Private,308144,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -29,Private,206351,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -26,Private,282304,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -26,?,176077,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Self-emp-inc,142719,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -34,Private,114973,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K -33,Federal-gov,159548,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -43,Private,91209,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,196564,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -51,Self-emp-not-inc,149220,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,75,United-States,<=50K -21,Private,169699,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -23,Private,218215,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -30,Private,156718,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,55720,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -38,Self-emp-inc,257250,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -20,Private,194630,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,398931,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1485,50,United-States,>50K -37,Self-emp-not-inc,362062,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -44,Local-gov,101593,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,1876,42,United-States,<=50K -33,Private,196266,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -45,Local-gov,197332,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,97842,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,86837,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,1902,40,United-States,>50K -17,Private,57324,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -43,Private,116852,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,36,Portugal,>50K -45,Private,154430,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,10520,0,50,United-States,>50K -37,Private,38468,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Local-gov,188808,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -55,Local-gov,177163,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,914,0,50,United-States,<=50K -41,Private,187322,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -23,Private,107578,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,2174,0,40,United-States,<=50K -38,Private,168680,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -23,Private,256755,Bachelors,13,Never-married,Handlers-cleaners,Other-relative,White,Female,0,0,40,Cuba,<=50K -35,Private,360799,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -18,Private,188476,11th,7,Never-married,Exec-managerial,Own-child,White,Male,0,0,20,United-States,<=50K -47,Private,30457,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,252752,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,8,United-States,<=50K -41,Self-emp-not-inc,443508,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,244408,Some-college,10,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,24,Vietnam,<=50K -41,Private,178983,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -26,Private,143068,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,2407,0,50,United-States,<=50K -30,Local-gov,247328,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,201732,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -35,Private,246829,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -28,?,290267,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,18,United-States,<=50K -29,Private,119170,Some-college,10,Separated,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,207923,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -48,State-gov,170142,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -44,Self-emp-not-inc,187164,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,60,United-States,<=50K -34,Local-gov,303867,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,291429,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -32,Private,213179,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,>50K -31,State-gov,111843,Assoc-acdm,12,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -25,Private,297154,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,2407,0,40,United-States,<=50K -47,Federal-gov,68493,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -46,Federal-gov,340718,11th,7,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,194059,12th,8,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,47296,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1740,20,United-States,<=50K -28,State-gov,286310,HS-grad,9,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -38,Private,207202,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K -33,Self-emp-inc,132601,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -17,?,139183,10th,6,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -41,Private,160785,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -46,Private,117849,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -38,Local-gov,225605,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,<=50K -24,Private,190290,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -49,Private,164799,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -60,Federal-gov,21876,Some-college,10,Divorced,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -44,Private,160785,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -63,Self-emp-inc,272425,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Private,168538,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -45,Self-emp-inc,204205,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -49,Private,142287,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,50,United-States,>50K -36,Private,169926,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,Local-gov,205024,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,8,United-States,<=50K -41,Private,374764,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Male,0,0,20,United-States,<=50K -25,Private,108779,Masters,14,Separated,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -20,?,293136,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -60,Private,227332,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,Local-gov,246308,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,Puerto-Rico,<=50K -28,Private,51331,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,16,United-States,>50K -31,Private,153078,Assoc-acdm,12,Never-married,Craft-repair,Own-child,Other,Male,0,0,50,United-States,<=50K -47,Private,169180,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -45,Self-emp-not-inc,193451,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -51,Private,305147,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,138892,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,402397,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,60,United-States,>50K -34,Private,223267,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Male,0,0,50,United-States,<=50K -19,Private,29250,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K -51,?,203953,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -46,State-gov,29696,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,315640,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1977,40,China,>50K -37,Private,632613,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,Mexico,<=50K -56,Private,282023,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -29,Private,77760,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -46,Self-emp-not-inc,148599,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -55,Private,414994,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,339863,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,8614,0,48,United-States,>50K -34,Private,499249,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Guatemala,<=50K -45,?,144354,9th,5,Separated,?,Own-child,Black,Male,0,0,40,United-States,<=50K -41,Private,252058,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,?,99543,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -34,Private,117963,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -27,Private,194652,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -29,Private,299705,Some-college,10,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,37,United-States,<=50K -19,Federal-gov,27433,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -47,Local-gov,39986,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-inc,135342,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -52,Private,270142,Assoc-voc,11,Separated,Exec-managerial,Unmarried,Black,Female,0,0,60,United-States,<=50K -33,Self-emp-not-inc,118267,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -29,Private,266043,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,35633,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,74568,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,214816,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -43,Private,222971,5th-6th,3,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,Mexico,<=50K -31,Private,259425,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -47,Self-emp-inc,212120,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Private,245880,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,<=50K -58,Local-gov,54947,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K -47,Self-emp-inc,79627,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,27828,0,50,United-States,>50K -55,Private,151474,Bachelors,13,Never-married,Tech-support,Other-relative,White,Female,0,1590,38,United-States,<=50K -26,Private,132661,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,5013,0,40,United-States,<=50K -28,Private,161674,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,62346,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -40,Private,227236,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -19,Private,283033,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -63,Self-emp-not-inc,298249,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,10605,0,40,United-States,>50K -42,Private,251229,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -76,Private,199949,9th,5,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,13,United-States,<=50K -23,State-gov,305498,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,203836,5th-6th,3,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,State-gov,79440,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,30,Japan,<=50K -48,Local-gov,142719,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -56,Private,119859,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,>50K -32,Private,141410,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -44,Local-gov,202872,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,25,United-States,<=50K -27,Private,198813,HS-grad,9,Divorced,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -33,Federal-gov,129707,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -22,Private,445758,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K -18,?,30246,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -44,Private,173981,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,108506,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K -34,Private,134886,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Federal-gov,181970,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1672,40,United-States,<=50K -57,Self-emp-inc,282913,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Cuba,<=50K -59,Local-gov,196013,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -33,Federal-gov,348491,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,>50K -52,Private,416164,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Other,Male,0,0,49,Mexico,<=50K -17,Private,121037,12th,8,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -29,Private,103111,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,Canada,<=50K -63,Self-emp-not-inc,147589,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K -20,Private,24008,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,24,United-States,<=50K -42,Self-emp-inc,123838,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -50,Self-emp-not-inc,175456,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -55,Private,84774,HS-grad,9,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,30,United-States,<=50K -27,Private,194590,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,25,United-States,<=50K -28,Private,134566,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -55,Private,211678,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -44,Federal-gov,44822,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -53,State-gov,144586,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,119156,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,371987,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,State-gov,144125,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Private,31905,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K -48,Self-emp-not-inc,121124,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -46,Private,58126,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,318518,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,296509,7th-8th,4,Separated,Farming-fishing,Not-in-family,White,Male,0,0,45,Mexico,<=50K -32,Private,473133,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -52,Private,155434,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K -52,Private,99185,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,50,United-States,>50K -39,Private,56648,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,47,United-States,<=50K -57,Local-gov,118481,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -21,Private,321666,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,594,0,40,United-States,<=50K -22,State-gov,119838,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K -26,Private,330695,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -26,State-gov,58039,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,313022,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -42,Private,178134,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -40,Private,165309,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,43,United-States,<=50K -22,Private,216181,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K -62,Private,178745,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -44,Private,111067,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,?,163788,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -33,Self-emp-not-inc,295591,1st-4th,2,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -45,Private,123075,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -18,Private,78045,11th,7,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -32,Local-gov,255004,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,254221,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,>50K -20,Private,174714,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,15,United-States,<=50K -68,Self-emp-not-inc,450580,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -61,Private,128230,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -48,Private,192894,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -45,Private,325390,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,20333,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,7688,0,40,United-States,>50K -32,Federal-gov,128714,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,32,United-States,<=50K -35,Private,170797,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,269186,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,127671,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,211840,Some-college,10,Separated,Sales,Unmarried,Black,Female,0,0,16,United-States,<=50K -37,Private,163392,HS-grad,9,Never-married,Transport-moving,Other-relative,Asian-Pac-Islander,Male,0,0,40,?,<=50K -40,Private,201495,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,45,United-States,<=50K -25,Private,251854,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,Jamaica,<=50K -41,Private,279297,HS-grad,9,Never-married,Sales,Not-in-family,Black,Female,0,0,60,United-States,<=50K -52,Self-emp-not-inc,195462,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,98,United-States,>50K -33,Private,170769,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,142443,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -25,Self-emp-not-inc,182809,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -53,Private,121441,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -44,Private,275094,1st-4th,2,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K -35,Private,170263,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,172571,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,58,Poland,<=50K -34,Private,178615,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,279524,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,State-gov,165201,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,45,United-States,<=50K -65,Local-gov,323006,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K -29,Private,235168,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -39,Self-emp-inc,114844,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,65,United-States,>50K -46,Local-gov,216414,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -37,Private,34378,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,2580,0,60,United-States,<=50K -47,State-gov,80914,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,47,United-States,>50K -62,Private,73292,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,212165,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -90,Private,52386,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,35,United-States,<=50K -33,Private,205649,Assoc-acdm,12,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,20,United-States,<=50K -57,Private,109638,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,45,United-States,<=50K -25,Private,200408,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -44,Self-emp-inc,187720,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -52,Private,236180,Bachelors,13,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -21,Private,118693,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,363130,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,18,United-States,<=50K -39,Private,225544,Masters,14,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Poland,<=50K -59,Federal-gov,243612,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Self-emp-not-inc,160786,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -49,Private,234320,7th-8th,4,Never-married,Prof-specialty,Other-relative,Black,Male,0,0,45,United-States,<=50K -34,Private,314646,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,124971,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,209184,Bachelors,13,Married-civ-spouse,Sales,Husband,Other,Male,0,0,40,Puerto-Rico,<=50K -39,State-gov,121838,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -46,Private,265275,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -50,Private,71417,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K -34,Private,45522,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Local-gov,250135,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,55,United-States,<=50K -18,Private,120283,12th,8,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K -20,Private,216972,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -20,Private,116791,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K -55,State-gov,26290,Assoc-voc,11,Widowed,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,0,0,38,United-States,<=50K -22,Private,216134,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K -60,Self-emp-not-inc,143932,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,217120,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -47,State-gov,223944,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K -23,Private,185452,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,Canada,<=50K -57,Local-gov,44273,HS-grad,9,Widowed,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Private,178983,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,219288,7th-8th,4,Widowed,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -25,Private,349190,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -49,Self-emp-inc,158685,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,2377,40,United-States,>50K -41,Federal-gov,57924,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -40,State-gov,270324,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,30,United-States,<=50K -38,Private,33001,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -58,Private,204021,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,Canada,<=50K -26,Private,192506,Bachelors,13,Never-married,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K -57,Private,372967,10th,6,Divorced,Adm-clerical,Other-relative,White,Female,0,0,70,Germany,<=50K -28,Private,273929,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1628,60,United-States,<=50K -42,Private,195821,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,56179,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,2174,0,55,United-States,<=50K -17,?,127003,9th,5,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,124090,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,199600,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -42,Private,255847,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,48,United-States,>50K -51,Self-emp-not-inc,218311,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K -27,Private,167336,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,39,United-States,<=50K -41,Private,59938,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,43,United-States,<=50K -28,Private,263728,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,278230,Some-college,10,Divorced,Farming-fishing,Unmarried,White,Female,10520,0,30,United-States,>50K -73,?,180603,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,8,United-States,<=50K -49,Private,43910,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K -47,Private,190139,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -27,Private,109001,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,49,United-States,<=50K -42,Local-gov,159931,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -32,Private,194987,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -32,Local-gov,87310,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,41,United-States,<=50K -27,Private,133937,Masters,14,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,207064,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -22,Private,36011,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -41,Federal-gov,168294,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,5178,0,40,United-States,>50K -49,Local-gov,194895,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,7298,0,40,United-States,>50K -58,Self-emp-not-inc,49884,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -41,Self-emp-not-inc,27305,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,7688,0,40,United-States,>50K -26,Private,229977,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -21,Private,64520,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K -32,?,134886,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,2,United-States,>50K -37,Private,305379,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -23,Private,202284,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -42,Self-emp-not-inc,99185,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -25,Private,159662,HS-grad,9,Married-civ-spouse,Sales,Own-child,White,Male,0,0,26,United-States,>50K -67,Private,197865,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Local-gov,175149,HS-grad,9,Divorced,Transport-moving,Not-in-family,Black,Female,0,0,38,United-States,<=50K -49,Local-gov,349633,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -36,Private,135293,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,1506,0,45,?,<=50K -18,Private,242893,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -25,Private,218667,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -43,State-gov,144811,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -38,Private,146091,Doctorate,16,Married-civ-spouse,Exec-managerial,Wife,White,Female,99999,0,36,United-States,>50K -21,Private,206861,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,?,<=50K -65,Self-emp-not-inc,226215,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K -66,Private,114447,Assoc-voc,11,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -33,Private,124187,11th,7,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,60,United-States,<=50K -51,Private,147954,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,3411,0,38,United-States,<=50K -27,Self-emp-inc,64379,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K -17,Private,156501,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -32,Private,207668,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -61,?,161279,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,36,United-States,<=50K -38,Private,225707,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Cuba,>50K -43,Local-gov,115603,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -40,State-gov,506329,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K -63,Private,275034,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1740,35,United-States,<=50K -76,?,172637,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,>50K -42,Private,56483,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Federal-gov,144778,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -76,Self-emp-not-inc,33213,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,?,>50K -41,Local-gov,297248,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,45,United-States,>50K -17,Private,137042,10th,6,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -30,Self-emp-not-inc,33308,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,158420,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,Iran,<=50K -22,Private,41763,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K -53,?,220640,Bachelors,13,Divorced,?,Other-relative,Other,Female,0,0,20,United-States,<=50K -28,Private,149734,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,52,United-States,<=50K -25,?,262245,Assoc-voc,11,Never-married,?,Own-child,White,Female,3418,0,40,United-States,<=50K -24,Private,349691,Some-college,10,Never-married,Sales,Other-relative,Black,Female,0,0,40,United-States,<=50K -47,Private,185385,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -34,Self-emp-not-inc,174463,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -26,Private,236068,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,20,United-States,<=50K -63,?,445168,Bachelors,13,Widowed,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,56,United-States,<=50K -25,Private,91334,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,<=50K -28,Private,33895,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -36,Private,214816,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,229773,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Self-emp-inc,166386,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,35,Taiwan,<=50K -44,Private,266135,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -18,Private,300379,12th,8,Never-married,Adm-clerical,Own-child,White,Male,0,0,12,United-States,<=50K -54,Federal-gov,392502,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -61,Private,73809,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,193720,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -43,Private,316183,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,162944,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Local-gov,186888,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,>50K -27,?,330132,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -24,Private,192017,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,United-States,<=50K -20,State-gov,161978,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -52,Private,202930,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -57,Local-gov,323309,7th-8th,4,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Self-emp-inc,197332,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -42,Self-emp-inc,204033,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,?,<=50K -22,Private,271274,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,174242,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -21,Private,209483,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -39,Federal-gov,99146,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,60,United-States,>50K -52,Self-emp-not-inc,102346,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K -25,Private,181666,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -50,Private,207367,Some-college,10,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,40,Cuba,<=50K -35,State-gov,82622,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,<=50K -50,Private,202296,Assoc-voc,11,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -58,Private,142182,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K -48,Federal-gov,94342,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -30,Private,41493,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,Canada,<=50K -18,Private,181712,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K -29,Self-emp-not-inc,164607,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Self-emp-not-inc,41496,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -63,Private,143098,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K -36,Local-gov,196529,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -24,Private,157332,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,42,United-States,<=50K -30,Local-gov,154935,Assoc-acdm,12,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K -23,Private,223231,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Mexico,<=50K -35,?,253860,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,20,United-States,<=50K -21,Private,362589,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -28,Private,94880,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,43,Mexico,<=50K -20,Private,309580,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,130389,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,Scotland,<=50K -21,Private,349365,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -27,Private,376936,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,179557,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,105577,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -51,Private,224207,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -27,Federal-gov,47907,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Self-emp-not-inc,191283,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -57,Private,20953,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -22,State-gov,186569,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,12,United-States,<=50K -59,Private,43221,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -38,Private,161141,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,203003,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K -90,Private,141758,9th,5,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,113322,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,343847,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,>50K -45,Private,214068,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -44,Private,116632,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -23,Private,240160,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,516337,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -23,Self-emp-inc,284651,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,43,United-States,<=50K -39,State-gov,141420,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,42750,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,55,United-States,<=50K -54,Private,165278,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Private,167265,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,43,United-States,<=50K -44,Private,139907,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -31,Self-emp-inc,236415,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K -25,Private,312966,9th,5,Separated,Handlers-cleaners,Other-relative,White,Male,0,0,40,El-Salvador,<=50K -33,Private,118941,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,32,United-States,>50K -32,Private,198068,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -36,Private,373952,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,236111,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,55,United-States,>50K -80,Private,157778,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,10,United-States,<=50K -21,Private,143604,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K -35,Self-emp-not-inc,319831,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -77,?,132728,Masters,14,Divorced,?,Not-in-family,White,Male,0,0,45,United-States,<=50K -30,Private,137606,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5013,0,40,United-States,<=50K -35,?,61343,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,268234,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,100135,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1740,25,United-States,<=50K -53,Self-emp-not-inc,34973,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -41,Private,323790,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,55,United-States,<=50K -57,Private,319733,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Poland,>50K -21,?,180339,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -19,Private,125591,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -28,Private,60772,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,45,United-States,<=50K -42,Federal-gov,74680,Masters,14,Divorced,Adm-clerical,Not-in-family,White,Male,0,2001,60,United-States,<=50K -29,Self-emp-not-inc,141185,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K -38,?,204668,Assoc-voc,11,Separated,?,Unmarried,White,Female,0,0,25,United-States,<=50K -26,Private,273792,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -41,Private,70037,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,3004,60,?,>50K -40,Private,343068,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,177907,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -28,Private,144063,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -25,Self-emp-not-inc,257574,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,20,United-States,<=50K -42,Self-emp-not-inc,67065,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -32,Private,183356,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,152940,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -37,Private,227128,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Local-gov,45607,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,<=50K -49,Private,155489,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,?,230704,HS-grad,9,Never-married,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K -24,?,267955,9th,5,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -19,Private,165115,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,49923,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,272240,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,255476,7th-8th,4,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,Mexico,<=50K -59,Private,194290,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,United-States,<=50K -52,Private,145548,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -27,Private,175262,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -45,Local-gov,37306,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -58,Private,137547,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K -53,Private,276515,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,Cuba,<=50K -23,Private,174626,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -35,Private,215310,11th,7,Divorced,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -49,Private,332355,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,204057,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,391591,12th,8,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,169092,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,>50K -28,Private,230743,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,190963,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K -74,?,204840,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,56,Mexico,<=50K -19,Private,169853,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,24,United-States,<=50K -28,Private,212091,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2580,0,40,United-States,<=50K -31,Private,202822,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -61,?,226989,Some-college,10,Married-spouse-absent,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,140011,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,53,United-States,<=50K -20,?,432376,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,Germany,<=50K -35,Private,90273,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,>50K -23,Private,224424,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,168943,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,>50K -19,Private,571853,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -30,Private,156464,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -26,Private,108542,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -34,Local-gov,194325,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -49,Private,114797,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Private,40135,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,2042,40,United-States,<=50K -38,Private,204756,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,228190,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,20,United-States,<=50K -33,Private,163392,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,48,United-States,>50K -54,Private,138845,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Local-gov,169853,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -18,Never-worked,206359,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -60,Private,224097,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,160786,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,190044,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -49,Local-gov,145290,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,120268,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,70,United-States,<=50K -17,Private,327434,10th,6,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -41,Self-emp-inc,218302,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -30,Private,1184622,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,35,United-States,<=50K -90,Local-gov,227796,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,60,United-States,>50K -25,Private,206343,HS-grad,9,Never-married,Protective-serv,Other-relative,White,Male,0,0,40,United-States,<=50K -27,Private,36851,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -29,Private,148550,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,157079,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,?,>50K -31,Federal-gov,142470,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -43,Private,86750,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,99,United-States,<=50K -63,Private,361631,Masters,14,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -46,Private,163229,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,179594,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,254773,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,50,United-States,>50K -26,Private,58065,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -26,Private,205428,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -20,?,41183,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -19,?,308064,HS-grad,9,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -61,Private,173924,9th,5,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Puerto-Rico,>50K -23,State-gov,142547,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,119704,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -35,Private,275364,Bachelors,13,Divorced,Tech-support,Unmarried,White,Male,7430,0,40,Germany,>50K -42,Self-emp-not-inc,207392,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,12,United-States,<=50K -31,Private,147215,12th,8,Divorced,Other-service,Unmarried,White,Female,0,0,21,United-States,<=50K -31,Private,101562,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,55,United-States,<=50K -63,Private,216413,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -29,State-gov,188986,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,1590,64,United-States,<=50K -43,State-gov,52849,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,304710,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,10,Vietnam,<=50K -17,Private,265657,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -23,Self-emp-not-inc,258298,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,2231,40,United-States,>50K -35,Private,360814,9th,5,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -32,Private,53260,HS-grad,9,Divorced,Other-service,Unmarried,Other,Female,0,0,28,United-States,<=50K -50,Self-emp-inc,127315,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -25,Private,233777,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,?,<=50K -26,Local-gov,197530,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,340940,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,88432,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -57,Private,183810,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -90,Private,51744,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,50,United-States,>50K -35,Private,175614,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K -31,Self-emp-not-inc,235237,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,>50K -60,Private,227266,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,33,United-States,<=50K -21,Private,146499,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,1579,40,United-States,<=50K -71,Local-gov,337064,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,141003,Assoc-voc,11,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -50,Local-gov,117791,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,172846,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -23,Private,73514,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -74,Private,211075,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -67,Private,197816,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1844,70,United-States,<=50K -59,Private,43221,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,>50K -28,Private,183780,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1740,40,United-States,<=50K -45,Private,26781,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -63,Self-emp-not-inc,271550,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -39,Private,250157,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,63,United-States,<=50K -33,State-gov,913447,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -32,Private,153078,Bachelors,13,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,South,<=50K -34,Private,181091,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K -39,Private,231491,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -29,State-gov,95423,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,36,United-States,<=50K -22,Private,234663,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,283602,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,13550,0,43,United-States,>50K -46,Private,328669,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K -51,Private,143741,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K -44,Private,83508,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,2354,0,99,United-States,<=50K -56,State-gov,81954,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,261375,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -52,Private,310045,9th,5,Married-spouse-absent,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Female,0,0,30,China,<=50K -39,Private,316211,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -45,Federal-gov,88564,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -37,Private,61299,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -33,Private,113364,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -35,?,476573,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,4,United-States,<=50K -46,Private,267107,5th-6th,3,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,45,Italy,<=50K -35,Private,48123,12th,8,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,50,United-States,<=50K -33,Private,214635,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,<=50K -48,Private,115585,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,194141,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,50,United-States,<=50K -18,?,23233,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,89991,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K -35,Private,101709,HS-grad,9,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,60,United-States,<=50K -19,Private,237455,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,25,United-States,<=50K -21,Private,206492,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,?,<=50K -56,Private,28729,11th,7,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,153475,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,El-Salvador,<=50K -45,Private,275517,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,128002,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,45,United-States,<=50K -44,Private,175485,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,12,United-States,<=50K -55,Private,189664,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -34,Private,209808,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -33,Private,176992,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -36,Private,154669,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,55,United-States,<=50K -25,Private,191271,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -28,Private,375482,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,102953,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,55,United-States,>50K -53,Private,169182,10th,6,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Columbia,<=50K -47,Private,184005,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,3325,0,45,United-States,<=50K -49,Self-emp-inc,30751,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -22,Private,145477,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -31,Private,91964,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K -44,Self-emp-inc,49249,Some-college,10,Divorced,Other-service,Unmarried,White,Male,0,0,80,United-States,<=50K -19,Private,218956,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,241306,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,?,251572,HS-grad,9,Widowed,?,Not-in-family,White,Male,0,0,35,Poland,<=50K -23,Private,319842,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -44,Private,332401,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,65,United-States,>50K -54,Local-gov,182388,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K -23,Private,205939,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K -21,Private,203914,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -19,State-gov,156294,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,25,United-States,<=50K -51,Private,254211,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,>50K -41,Private,151504,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -61,Private,85548,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,15024,0,18,United-States,>50K -19,Self-emp-not-inc,30800,10th,6,Married-spouse-absent,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -22,Private,131230,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,61850,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,227800,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,32,United-States,<=50K -35,Private,133454,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -38,Private,104094,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,105422,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -56,Private,142182,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -41,Private,336643,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,80,United-States,<=50K -62,Self-emp-inc,200577,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -27,Private,208703,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,Japan,<=50K -55,?,193895,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,England,<=50K -25,Private,272428,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,4416,0,42,United-States,<=50K -33,Private,56701,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,75,United-States,>50K -26,Private,288592,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,266439,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -53,Federal-gov,276868,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -43,Private,131435,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Private,175127,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K -25,Private,277444,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -60,Private,63296,Masters,14,Divorced,Prof-specialty,Other-relative,Black,Male,0,0,40,United-States,<=50K -28,Private,96337,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,221955,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,Mexico,<=50K -40,Private,197923,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Female,2977,0,40,United-States,<=50K -29,Private,632593,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -20,Private,205970,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,25,United-States,<=50K -25,Private,139730,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,80,United-States,>50K -18,Private,201901,11th,7,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K -32,State-gov,230224,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -27,Private,113464,1st-4th,2,Never-married,Other-service,Own-child,Other,Male,0,0,35,Dominican-Republic,<=50K -48,Private,94461,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,16,United-States,<=50K -20,Private,271379,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -55,Private,231738,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,England,<=50K -33,Local-gov,198183,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -21,State-gov,140764,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K -43,Self-emp-not-inc,183479,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -35,Private,165767,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -39,Local-gov,139364,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -19,Private,227491,HS-grad,9,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -25,Private,222254,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -44,Private,193494,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,72,United-States,>50K -27,Private,29261,Assoc-acdm,12,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -39,Private,174368,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -69,Private,108196,10th,6,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -34,Private,110622,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -20,?,201680,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K -37,Private,130277,5th-6th,3,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Local-gov,98130,Bachelors,13,Divorced,Prof-specialty,Own-child,White,Female,0,0,39,United-States,<=50K -62,?,235521,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,48,United-States,<=50K -34,State-gov,595000,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,>50K -31,Self-emp-not-inc,349148,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -42,State-gov,117583,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,8614,0,60,United-States,>50K -26,Private,164583,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -39,Private,340091,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,75,United-States,<=50K -25,Private,49092,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -54,Local-gov,186884,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,30,United-States,<=50K -44,State-gov,167265,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -34,State-gov,34104,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,38,United-States,>50K -21,Self-emp-inc,265116,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,128378,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,55,?,<=50K -33,Private,158416,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Self-emp-inc,169878,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -44,Private,296728,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -33,Local-gov,342458,Assoc-acdm,12,Divorced,Protective-serv,Not-in-family,White,Male,0,0,56,United-States,<=50K -21,Local-gov,38771,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,269300,Bachelors,13,Never-married,Other-service,Not-in-family,Black,Female,0,0,60,United-States,<=50K -43,Private,111483,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K -57,?,199114,10th,6,Separated,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -51,Local-gov,33863,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -29,Private,132874,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Local-gov,277024,HS-grad,9,Separated,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K -35,Private,112160,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,703067,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -58,Private,127264,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -57,Self-emp-inc,257200,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -19,Private,57206,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -37,Private,201319,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,114079,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K -45,Private,230979,Some-college,10,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,292472,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,>50K -64,?,286732,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Local-gov,134444,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,<=50K -30,Private,172403,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -46,Private,191357,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -18,?,279288,10th,6,Never-married,?,Other-relative,White,Female,0,0,30,United-States,<=50K -60,Private,389254,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -30,Private,303867,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,44,United-States,<=50K -47,Private,164113,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,7688,0,40,United-States,>50K -39,Private,111499,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,266084,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,45,United-States,>50K -27,Private,61580,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -44,Private,231348,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,164748,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,205337,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -58,Self-emp-not-inc,54566,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -45,Private,34419,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,30,United-States,<=50K -59,Private,116442,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -29,Private,290740,Assoc-acdm,12,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,50,United-States,<=50K -27,Private,255582,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,112517,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,>50K -44,Private,169397,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -33,Private,172664,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -27,Private,329005,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,123253,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -55,Private,81865,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -32,Self-emp-not-inc,173314,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,60,United-States,<=50K -31,Private,34572,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -57,Self-emp-inc,159028,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K -30,Private,149184,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -78,?,363134,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,1,United-States,<=50K -28,Private,308709,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K -30,Self-emp-not-inc,257295,Some-college,10,Never-married,Sales,Other-relative,Asian-Pac-Islander,Male,0,2258,40,South,<=50K -29,Private,168479,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -66,Private,142501,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,3,United-States,<=50K -60,Private,338345,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -31,Private,177675,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,262617,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,2597,0,40,United-States,<=50K -24,Private,200997,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K -29,Private,176683,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -44,Private,376072,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -34,Local-gov,177675,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -59,Private,348430,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,43,United-States,>50K -23,Private,320451,Bachelors,13,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,24,United-States,<=50K -23,Private,38151,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,40,Philippines,<=50K -55,Local-gov,123382,Assoc-voc,11,Separated,Prof-specialty,Unmarried,Black,Female,0,0,35,United-States,<=50K -39,Self-emp-inc,151029,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -39,Private,484475,11th,7,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -57,Private,329792,7th-8th,4,Divorced,Transport-moving,Unmarried,White,Male,0,0,75,United-States,<=50K -35,Private,148903,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Local-gov,301614,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,>50K -47,Private,176319,HS-grad,9,Married-civ-spouse,Sales,Own-child,White,Female,0,0,38,United-States,>50K -53,State-gov,53197,Doctorate,16,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -23,Private,291407,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,25,United-States,<=50K -35,Private,204527,Masters,14,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K -44,Private,476391,Some-college,10,Divorced,Farming-fishing,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,224964,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -26,Private,306225,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Poland,<=50K -23,Private,292023,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -32,Private,94041,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,Ireland,<=50K -49,Self-emp-inc,187563,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -36,Private,176101,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,2174,0,60,United-States,<=50K -36,Private,749105,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K -41,?,230020,5th-6th,3,Married-civ-spouse,?,Husband,Other,Male,0,0,40,United-States,<=50K -21,Private,216070,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,Amer-Indian-Eskimo,Female,0,0,46,United-States,>50K -54,Self-emp-not-inc,105010,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -43,Private,198203,Some-college,10,Married-spouse-absent,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -35,Local-gov,215419,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,120460,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -46,Private,199316,Some-college,10,Married-civ-spouse,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,40,India,<=50K -46,Private,146919,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Private,174744,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -45,?,189564,Masters,14,Married-civ-spouse,?,Wife,White,Female,0,0,1,United-States,<=50K -21,Private,249957,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,146574,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -47,State-gov,156417,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Male,0,0,20,United-States,<=50K -42,Private,236110,5th-6th,3,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -19,Private,63363,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -25,Private,190107,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,126569,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,>50K -35,Private,176756,12th,8,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -40,Private,115161,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -57,Self-emp-not-inc,138892,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K -38,Private,256864,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -48,Private,265083,10th,6,Divorced,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K -34,Private,249948,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,34,United-States,<=50K -46,Federal-gov,31141,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,164190,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,?,<=50K -45,State-gov,67544,Masters,14,Divorced,Protective-serv,Not-in-family,White,Male,0,0,50,United-States,<=50K -32,Self-emp-not-inc,174789,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -35,Private,199753,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,48,United-States,<=50K -62,Private,122246,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,8614,0,39,United-States,>50K -56,?,188166,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,96586,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,189590,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,140590,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,33,United-States,<=50K -35,Private,255702,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,27,United-States,<=50K -33,Private,260782,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,United-States,>50K -38,Private,169926,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,40,United-States,>50K -37,State-gov,151322,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Private,192869,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -19,Private,93604,7th-8th,4,Never-married,Craft-repair,Own-child,White,Male,0,1602,32,United-States,<=50K -31,Private,86958,9th,5,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -53,Local-gov,228723,HS-grad,9,Divorced,Craft-repair,Not-in-family,Other,Male,0,0,40,?,>50K -33,Private,192644,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,35,Puerto-Rico,<=50K -72,Private,284080,1st-4th,2,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -54,Private,43269,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -30,Private,190040,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,306108,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -30,Private,220148,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,50,United-States,>50K -30,Private,381645,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -32,Private,216361,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,16,United-States,<=50K -30,Private,213722,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -35,Private,112271,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,208277,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,44,United-States,>50K -38,State-gov,352628,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,129620,10th,6,Never-married,Other-service,Other-relative,White,Female,0,0,30,United-States,<=50K -32,Private,249550,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,44,United-States,<=50K -49,Private,178749,Masters,14,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -76,?,173542,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -60,Private,167670,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -60,Private,81578,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,160662,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,>50K -41,Private,163322,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,0,30,?,<=50K -24,Private,152189,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -53,Private,106176,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,7298,0,60,United-States,>50K -69,State-gov,159191,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,810,38,United-States,<=50K -71,?,250263,Some-college,10,Married-civ-spouse,?,Husband,White,Male,3432,0,30,United-States,<=50K -41,Private,78410,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -32,Private,131379,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -45,Private,166929,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,380357,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,79190,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -40,Private,342164,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,37,United-States,<=50K -44,Private,182616,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -63,Private,339473,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -31,Local-gov,381153,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,15024,0,56,United-States,>50K -51,Private,300816,Bachelors,13,Never-married,Adm-clerical,Unmarried,White,Male,0,0,20,United-States,<=50K -51,Private,240988,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -23,Private,149224,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,168216,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -56,Private,286487,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2885,0,45,United-States,<=50K -39,Private,305597,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -39,Self-emp-not-inc,109766,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -30,Self-emp-not-inc,188798,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Self-emp-not-inc,240170,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Germany,<=50K -31,Private,459465,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -44,Local-gov,162506,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -43,Self-emp-not-inc,145441,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,>50K -37,Federal-gov,129573,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,72,?,>50K -41,Private,27444,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,46,United-States,>50K -43,Private,195258,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -47,State-gov,55272,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -38,Self-emp-not-inc,164526,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,2824,45,United-States,>50K -46,Private,27802,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -19,State-gov,165289,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,274657,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,50,Guatemala,<=50K -24,Private,317175,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -39,Self-emp-inc,163237,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K -37,Private,170408,Assoc-voc,11,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,30,United-States,<=50K -28,?,55950,Bachelors,13,Never-married,?,Own-child,Black,Female,0,0,40,Germany,<=50K -40,Private,76625,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -27,Private,366066,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,349368,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -21,Private,286824,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K -32,Private,373263,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -20,Private,161978,HS-grad,9,Separated,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,543922,Masters,14,Divorced,Transport-moving,Not-in-family,White,Male,14344,0,48,United-States,>50K -46,Local-gov,109089,Prof-school,15,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -46,Private,110151,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -26,Private,34110,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,44,United-States,<=50K -47,Self-emp-not-inc,118506,Bachelors,13,Married-civ-spouse,Exec-managerial,Own-child,White,Male,0,0,60,United-States,<=50K -22,Private,117789,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K -34,Self-emp-not-inc,353881,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -49,Private,200471,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K -20,Private,258517,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -28,Private,190367,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -30,Private,174704,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -23,Private,179413,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,329530,9th,5,Never-married,Priv-house-serv,Own-child,White,Male,0,0,40,Mexico,<=50K -31,Private,273818,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,55,Mexico,<=50K -46,Private,256522,1st-4th,2,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Puerto-Rico,<=50K -42,Private,196001,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -60,Self-emp-not-inc,282660,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,72630,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -27,Private,50295,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K -20,Private,203240,9th,5,Never-married,Sales,Own-child,White,Female,0,0,32,United-States,<=50K -56,Self-emp-not-inc,172618,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -41,Private,202168,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -61,Private,176839,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,176140,HS-grad,9,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,>50K -60,Private,39952,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2228,0,37,United-States,<=50K -33,Private,292465,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -40,?,161285,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,25,United-States,<=50K -48,Private,355320,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Canada,>50K -56,Private,182460,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -50,Private,69345,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,55,United-States,>50K -57,Self-emp-not-inc,102058,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,Private,165804,Some-college,10,Never-married,Adm-clerical,Own-child,Other,Female,0,0,40,United-States,<=50K -46,Private,318259,Assoc-voc,11,Divorced,Tech-support,Other-relative,White,Female,0,0,36,United-States,<=50K -21,Private,117606,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,170718,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,413297,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,190457,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -54,Private,88278,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -32,Local-gov,217296,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,4064,0,22,United-States,<=50K -62,?,97231,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,1,United-States,<=50K -50,Private,123429,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -49,Federal-gov,420282,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -48,Private,498325,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,248533,Some-college,10,Never-married,Sales,Other-relative,Black,Female,0,0,40,United-States,<=50K -46,Private,137354,Masters,14,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -42,Private,272910,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Self-emp-inc,206054,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -58,Local-gov,92141,Assoc-acdm,12,Widowed,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -37,Private,163199,Some-college,10,Divorced,Tech-support,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -34,Private,195860,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,115717,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,2051,40,United-States,<=50K -18,Private,120029,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,20,United-States,<=50K -33,Private,221762,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -41,Private,342164,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K -21,Private,176356,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -23,Private,133239,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Federal-gov,169101,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -33,Private,159442,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -24,Private,174461,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,45,United-States,<=50K -43,Private,361280,10th,6,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,42,China,<=50K -52,State-gov,447579,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,England,<=50K -27,?,308995,Some-college,10,Divorced,?,Own-child,Black,Female,0,0,40,United-States,<=50K -61,Private,248448,7th-8th,4,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,161141,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,212465,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -45,Self-emp-inc,170871,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K -43,Local-gov,233865,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -51,Private,163052,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -35,Private,348690,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -47,Federal-gov,34845,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,Germany,>50K -22,Private,206861,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -49,Self-emp-inc,349230,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -20,Private,130840,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -19,Private,415354,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,132191,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,202466,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K -27,?,224421,Some-college,10,Divorced,?,Own-child,White,Male,0,0,40,United-States,<=50K -23,Self-emp-not-inc,236804,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,35,United-States,<=50K -20,Private,107658,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,10,United-States,<=50K -47,Private,102771,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -17,Private,221403,12th,8,Never-married,Other-service,Own-child,Black,Male,0,0,18,United-States,<=50K -76,?,211574,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,1,United-States,<=50K -39,Private,52645,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,276310,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -31,Private,134613,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,43,United-States,<=50K -44,Private,215479,HS-grad,9,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,20,Haiti,<=50K -53,Private,266529,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -34,Private,265807,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -45,Self-emp-not-inc,67716,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -34,Private,178951,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -35,Private,241126,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -36,Private,176544,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K -45,Private,169180,Some-college,10,Widowed,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K -37,Self-emp-not-inc,282461,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -53,Private,157069,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -35,Private,99357,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,50,United-States,>50K -38,Self-emp-not-inc,414991,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,70,?,<=50K -65,Self-emp-inc,338316,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,59612,10th,6,Divorced,Farming-fishing,Unmarried,White,Male,0,0,70,United-States,<=50K -24,Private,220426,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,115912,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,27032,10th,6,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K -19,Private,170720,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -60,Private,183162,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,192360,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -78,?,165694,Masters,14,Widowed,?,Not-in-family,White,Female,0,0,15,United-States,<=50K -26,Private,128553,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K -58,Private,209423,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,38,Cuba,<=50K -37,Self-emp-not-inc,121510,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,55,United-States,<=50K -41,Private,93793,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -30,Private,133602,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,391329,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -48,Private,96359,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Greece,>50K -22,Private,203894,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Female,0,0,24,United-States,<=50K -50,Private,196193,Masters,14,Married-spouse-absent,Prof-specialty,Other-relative,White,Male,0,0,60,?,<=50K -25,Private,195994,1st-4th,2,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,Guatemala,<=50K -18,Private,50879,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,6,United-States,<=50K -21,Private,186849,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,201127,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,110998,HS-grad,9,Never-married,Other-service,Other-relative,Amer-Indian-Eskimo,Female,0,0,36,United-States,<=50K -39,Private,190466,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,2174,0,40,United-States,<=50K -67,Self-emp-not-inc,173935,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,8,United-States,>50K -19,Private,167140,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,1602,24,United-States,<=50K -18,Private,110230,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,11,United-States,<=50K -36,Private,287658,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -23,Private,224954,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,25,United-States,<=50K -25,?,394820,Some-college,10,Separated,?,Unmarried,White,Female,0,0,20,United-States,<=50K -40,Private,37618,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K -73,Self-emp-not-inc,29306,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,37314,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -31,Private,420749,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -20,Private,482732,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,206215,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,101364,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -66,Self-emp-inc,185369,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -66,Private,216856,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -64,Private,256019,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -48,Private,348144,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,3325,0,53,United-States,<=50K -24,Private,190293,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Self-emp-not-inc,25932,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -25,Private,176729,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -33,Private,166961,11th,7,Separated,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -50,Private,86373,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -51,Private,320513,7th-8th,4,Married-spouse-absent,Craft-repair,Not-in-family,Black,Male,0,0,50,Dominican-Republic,<=50K -34,State-gov,190290,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -41,Local-gov,111891,7th-8th,4,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,Self-emp-not-inc,45796,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,108496,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,2907,0,40,United-States,<=50K -41,Self-emp-not-inc,120539,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,40,United-States,>50K -36,Self-emp-not-inc,164526,Masters,14,Never-married,Sales,Not-in-family,White,Male,10520,0,45,United-States,>50K -37,Private,323155,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,85,Mexico,<=50K -28,Private,65389,HS-grad,9,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K -19,Private,414871,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,161607,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -62,Private,224953,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -36,Private,261382,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K -58,Self-emp-not-inc,231818,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Greece,<=50K -42,Self-emp-inc,184018,HS-grad,9,Divorced,Sales,Unmarried,White,Male,1151,0,50,United-States,<=50K -43,Self-emp-inc,133060,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,35032,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,State-gov,304212,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -64,Local-gov,50442,9th,5,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K -39,Private,146091,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K -26,Private,267431,Bachelors,13,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -19,Private,121240,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -21,Private,192572,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,45,United-States,<=50K -32,Private,211028,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Local-gov,346122,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,5013,0,45,United-States,<=50K -26,Private,202203,Bachelors,13,Never-married,Adm-clerical,Other-relative,White,Female,0,0,50,United-States,<=50K -20,Private,159297,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,15,United-States,<=50K -19,Private,310158,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K -33,Federal-gov,193246,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,42,United-States,>50K -23,Private,200089,Some-college,10,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,40,El-Salvador,<=50K -29,Private,38353,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -42,Private,76280,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -30,Self-emp-not-inc,243665,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -63,Private,68872,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K -34,Private,103596,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -60,Self-emp-not-inc,88055,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,24,United-States,<=50K -48,Private,186203,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,257910,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -27,Private,200227,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -55,Self-emp-not-inc,124975,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,27828,0,55,United-States,>50K -32,Private,227669,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -22,Private,117210,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,Greece,<=50K -25,Private,76144,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -18,Private,98667,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -24,Local-gov,155818,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,44,United-States,<=50K -29,Private,283760,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -73,?,281907,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,3,United-States,<=50K -39,Private,186183,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -33,Self-emp-inc,202153,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,365683,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,>50K -22,Private,187538,10th,6,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -33,?,209432,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,20,United-States,<=50K -33,Private,126950,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -42,Private,110028,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,104660,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Male,0,0,45,United-States,<=50K -57,Self-emp-not-inc,437281,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,>50K -42,Private,259643,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,4650,0,40,United-States,<=50K -22,Private,217961,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,1719,30,United-States,<=50K -21,?,134746,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -42,Self-emp-not-inc,120539,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -39,Private,25803,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -41,Private,63596,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,32,United-States,>50K -20,Local-gov,325493,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -47,Private,211239,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,206686,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,427965,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -52,Private,218550,Some-college,10,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,14084,0,16,United-States,>50K -71,Private,163385,Some-college,10,Widowed,Sales,Not-in-family,White,Male,0,0,35,United-States,>50K -52,Private,124993,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,55,United-States,<=50K -36,Private,107410,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,152373,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,>50K -37,Private,161226,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,>50K -26,Private,213799,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,204461,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -35,Private,377798,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -20,Private,116375,9th,5,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -34,Local-gov,210164,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K -56,Self-emp-not-inc,258752,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -39,Private,327435,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,>50K -24,Private,301199,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,20,United-States,<=50K -24,Private,186221,11th,7,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -23,Private,203924,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -27,Private,192236,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -25,Private,152035,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,201454,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,156580,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,37,United-States,>50K -51,Private,115851,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,106753,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K -59,Private,359292,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -29,Private,83003,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -18,Private,78817,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -24,Private,200967,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,36,United-States,<=50K -38,State-gov,107164,Some-college,10,Separated,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,189674,HS-grad,9,Never-married,Priv-house-serv,Unmarried,Black,Female,0,0,28,?,<=50K -34,Self-emp-not-inc,90614,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -42,Self-emp-not-inc,323790,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,70,United-States,>50K -45,Self-emp-not-inc,242552,12th,8,Divorced,Craft-repair,Other-relative,Black,Male,0,0,35,United-States,<=50K -21,Private,90935,Assoc-voc,11,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -64,Self-emp-inc,165667,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,60,Canada,>50K -32,Private,162604,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Male,0,0,40,United-States,<=50K -45,Private,205424,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -53,Private,97411,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K -42,Private,184857,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,16,United-States,<=50K -32,Private,165226,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,115784,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,368476,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,24,Mexico,<=50K -28,Private,53063,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -29,?,134566,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K -32,Private,153471,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,35,United-States,<=50K -37,Self-emp-inc,107164,10th,6,Never-married,Transport-moving,Not-in-family,White,Male,0,2559,50,United-States,>50K -38,Private,180303,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,Japan,>50K -44,Local-gov,236321,HS-grad,9,Divorced,Transport-moving,Own-child,White,Male,0,0,25,United-States,<=50K -19,Private,141868,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -22,?,367655,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,203518,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Private,119558,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -56,Private,108276,Bachelors,13,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,385452,10th,6,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,162003,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,349028,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,45114,Bachelors,13,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K -44,Private,112797,9th,5,Divorced,Other-service,Own-child,White,Female,0,0,50,United-States,<=50K -28,Private,183639,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -35,Private,177121,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -38,Private,239755,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,150361,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -20,Private,293091,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K -24,Private,200089,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,Mexico,>50K -40,Private,91836,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -23,Private,324960,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -79,Local-gov,84616,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,7,United-States,<=50K -44,Private,252930,10th,6,Divorced,Adm-clerical,Unmarried,Other,Female,0,0,42,United-States,<=50K -51,Private,44000,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,99999,0,50,United-States,>50K -30,Private,154843,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,99307,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,3103,0,48,United-States,>50K -41,Private,182567,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,>50K -33,Private,93206,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -50,Private,100109,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,45,United-States,>50K -51,Private,114927,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,United-States,>50K -41,Private,121287,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,189916,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,>50K -34,Private,157747,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -28,Private,39232,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -31,Self-emp-inc,133861,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,505980,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -67,?,183374,HS-grad,9,Widowed,?,Not-in-family,White,Female,2329,0,15,United-States,<=50K -65,Private,193216,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,9386,0,40,United-States,>50K -39,Self-emp-not-inc,140752,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -23,Private,549349,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -29,Self-emp-not-inc,179008,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -57,Self-emp-not-inc,190554,10th,6,Divorced,Exec-managerial,Own-child,White,Male,0,0,60,United-States,>50K -47,Private,80924,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -51,Local-gov,319054,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,60,United-States,<=50K -34,Private,297094,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -52,Private,170562,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -29,Private,240738,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -29,Private,297544,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Local-gov,169905,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,149637,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,182526,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Self-emp-not-inc,158315,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -61,Self-emp-inc,227232,Bachelors,13,Separated,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -34,Private,96483,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,8614,0,60,United-States,>50K -41,Private,286970,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -27,Local-gov,223529,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Male,0,0,43,United-States,<=50K -78,Self-emp-not-inc,316261,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,99999,0,20,United-States,>50K -40,Private,170214,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -26,Self-emp-not-inc,224361,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,75,United-States,<=50K -43,Private,124919,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,60,Japan,<=50K -55,?,103654,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -25,Private,306352,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,Mexico,<=50K -26,Self-emp-not-inc,227858,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,48,United-States,<=50K -43,Self-emp-inc,150533,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,68,United-States,>50K -25,Private,144478,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,Poland,<=50K -22,Private,254547,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,30,Jamaica,<=50K -52,Self-emp-not-inc,313243,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -61,Private,149981,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,2414,0,5,United-States,<=50K -42,Private,125461,Bachelors,13,Never-married,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K -21,Private,306967,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,192976,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -65,Private,192133,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2290,0,40,Greece,<=50K -56,?,131608,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,10,United-States,<=50K -33,Federal-gov,339388,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -22,Private,203240,10th,6,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,83827,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,24,United-States,<=50K -45,Self-emp-inc,160440,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K -42,Private,108502,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,42,United-States,<=50K -37,Private,410913,HS-grad,9,Married-spouse-absent,Farming-fishing,Unmarried,Other,Male,0,0,40,Mexico,<=50K -56,Private,193818,9th,5,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,?,163582,10th,6,Divorced,?,Unmarried,White,Female,0,0,16,?,<=50K -40,Private,103789,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,32,United-States,<=50K -31,Private,34572,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -26,Private,43408,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -26,State-gov,105787,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -42,Self-emp-inc,90693,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -45,Self-emp-not-inc,285575,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -47,Local-gov,56482,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,7688,0,50,United-States,>50K -22,Private,496025,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -33,Private,382764,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,259284,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,50,United-States,<=50K -48,Self-emp-not-inc,185385,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,98,United-States,<=50K -57,Self-emp-not-inc,286836,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,8,United-States,<=50K -47,Private,139145,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -58,Local-gov,44246,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,169611,11th,7,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Private,133403,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -29,Private,187327,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,180032,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,46561,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -23,Private,86065,12th,8,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -46,Self-emp-not-inc,256014,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -30,Private,188403,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,396758,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,70,United-States,>50K -25,Private,60485,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -32,Private,271276,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,>50K -56,Private,229525,9th,5,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -33,Private,34574,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,43,United-States,<=50K -19,State-gov,112432,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K -20,Private,105312,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,18,United-States,<=50K -34,Private,221396,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,304872,9th,5,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -55,Self-emp-not-inc,319733,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,176012,9th,5,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,23,United-States,<=50K -31,Private,213750,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -30,Private,248384,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,351187,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -51,Private,138179,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,1876,40,United-States,<=50K -59,Private,50223,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,117477,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,36,United-States,<=50K -40,Private,194360,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,118108,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -25,Local-gov,90730,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K -18,Self-emp-inc,38307,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,30,United-States,<=50K -41,Private,116391,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,210496,10th,6,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,168475,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -46,Private,174386,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K -39,Private,166744,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,38,United-States,<=50K -19,Private,375114,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,373469,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,339667,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,41,United-States,<=50K -39,Private,91711,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -41,Private,82049,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Private,236242,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -57,Self-emp-inc,140319,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -33,Local-gov,34080,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -56,Private,204816,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -60,Private,187124,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,72310,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K -58,Private,175127,12th,8,Married-civ-spouse,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K -48,Federal-gov,205707,Masters,14,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,10520,0,50,United-States,>50K -45,Local-gov,236586,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,55,United-States,>50K -18,Private,71792,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -56,Private,87584,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -48,Self-emp-inc,136878,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -40,Private,287983,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,0,2258,48,Philippines,<=50K -38,Private,110607,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K -58,Private,109015,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,235071,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,50,United-States,<=50K -63,Private,88653,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K -51,Private,332243,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -22,?,291547,5th-6th,3,Married-civ-spouse,?,Wife,Other,Female,0,0,40,Mexico,<=50K -44,Private,45093,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -46,Federal-gov,161337,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -64,State-gov,211222,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,295117,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,England,>50K -31,Private,206541,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,238415,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -21,Private,29810,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -30,Private,108023,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,114324,Assoc-voc,11,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -54,Private,172281,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2051,50,United-States,<=50K -59,Local-gov,197290,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -28,Local-gov,191177,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K -57,Private,562558,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,79531,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -53,Self-emp-inc,157881,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -58,Self-emp-not-inc,204816,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -19,Private,185695,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -39,Self-emp-inc,167482,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -31,Self-emp-inc,83748,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,70,South,<=50K -27,Private,39232,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Local-gov,236827,9th,5,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -37,Self-emp-not-inc,154410,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,135308,Bachelors,13,Never-married,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K -33,Private,204042,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K -20,Private,308239,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -55,Private,183884,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -39,Private,98948,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,141642,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,162623,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Self-emp-inc,186934,Bachelors,13,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,179512,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -25,Private,391192,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,24,United-States,<=50K -31,Private,87054,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -51,Private,30008,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -24,Private,113466,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -70,Private,642830,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Female,0,0,32,United-States,<=50K -23,Private,182117,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -61,Private,162432,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Self-emp-not-inc,242184,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -47,Private,170850,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,4064,0,60,United-States,<=50K -56,Private,435022,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -79,Private,120707,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,35,El-Salvador,>50K -20,Private,170800,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -30,Private,268575,HS-grad,9,Never-married,Craft-repair,Unmarried,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -27,Private,269354,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,?,<=50K -40,Private,224232,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -60,?,153072,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,5,United-States,<=50K -58,Private,177368,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -71,Self-emp-not-inc,163293,Prof-school,15,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,2,United-States,<=50K -50,Private,178530,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -29,Local-gov,183523,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,Iran,<=50K -33,Private,207267,10th,6,Separated,Other-service,Unmarried,White,Female,3418,0,35,United-States,<=50K -60,State-gov,27037,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K -33,Private,176711,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -43,Private,163215,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,?,>50K -33,Private,394727,10th,6,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,40,United-States,<=50K -33,Private,195488,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,52,United-States,<=50K -32,State-gov,443546,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,<=50K -21,Private,121023,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,9,United-States,<=50K -38,Private,51838,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -38,Private,258888,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K -39,State-gov,189385,Some-college,10,Separated,Exec-managerial,Unmarried,Black,Female,0,0,30,United-States,<=50K -17,Private,198146,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -21,Private,337766,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,210525,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,>50K -42,Private,185602,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -36,Private,173804,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,251243,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -37,Self-emp-not-inc,415847,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -28,Private,119793,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,181705,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,182360,HS-grad,9,Separated,Prof-specialty,Unmarried,Other,Female,0,0,60,Puerto-Rico,<=50K -49,Private,61885,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,146520,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Private,323790,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,146268,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Federal-gov,287031,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,8614,0,40,United-States,>50K -33,Local-gov,292217,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Male,0,0,40,United-States,<=50K -24,Private,88126,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,143046,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,401623,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,Jamaica,>50K -36,Self-emp-not-inc,283122,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1902,60,United-States,>50K -84,Self-emp-not-inc,155057,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -23,Private,260254,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,152292,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -55,Self-emp-inc,138594,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K -30,Self-emp-not-inc,523095,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -46,Private,175262,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K -55,Private,323706,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K -34,Private,316470,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,163815,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -27,Private,72208,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -52,Local-gov,74784,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -36,Private,383518,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,99999,0,40,United-States,>50K -25,Self-emp-not-inc,266668,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,347519,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -24,Private,336088,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,0,0,50,United-States,<=50K -36,Private,190350,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -31,Private,204052,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -66,?,31362,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -90,Self-emp-not-inc,155981,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,10566,0,50,United-States,<=50K -67,Private,195161,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,60,United-States,>50K -22,Self-emp-inc,269583,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,2580,0,40,United-States,<=50K -47,Private,26994,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -32,Private,116539,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,55,United-States,>50K -55,Self-emp-not-inc,189933,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,101283,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,35,United-States,<=50K -48,Private,113598,Some-college,10,Separated,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K -21,Private,188793,HS-grad,9,Married-civ-spouse,Sales,Husband,Other,Male,0,0,35,United-States,<=50K -33,Private,109996,Assoc-acdm,12,Married-spouse-absent,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,195681,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,48,?,<=50K -47,Private,436770,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,84253,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -44,Self-emp-inc,383493,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -23,Private,216867,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,37,Mexico,<=50K -18,Private,401051,10th,6,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -56,Private,83196,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,325596,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K -43,Private,187322,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -23,Private,193949,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,60,United-States,<=50K -26,Private,133373,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,42,United-States,<=50K -42,Private,113324,HS-grad,9,Widowed,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K -23,Private,178818,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Self-emp-not-inc,152810,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,335997,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,55,United-States,>50K -40,Private,436493,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -27,Private,704108,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -24,Local-gov,150084,Some-college,10,Separated,Protective-serv,Not-in-family,White,Male,0,0,60,United-States,<=50K -42,Private,341204,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Female,0,0,40,United-States,<=50K -41,Private,187336,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,204209,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K -42,Self-emp-not-inc,206066,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,<=50K -38,Private,63509,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -63,Self-emp-not-inc,391121,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -31,Private,56026,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Self-emp-not-inc,60981,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,4,United-States,<=50K -21,Private,228255,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -24,Private,86745,Bachelors,13,Married-civ-spouse,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -55,Private,234327,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,59948,9th,5,Never-married,Adm-clerical,Unmarried,Black,Female,114,0,20,United-States,<=50K -31,Private,137814,Some-college,10,Divorced,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -23,Private,167692,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -35,Private,245090,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -51,Self-emp-not-inc,256963,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -19,Private,160033,Some-college,10,Never-married,Protective-serv,Own-child,White,Female,0,0,30,United-States,<=50K -38,Local-gov,289430,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,56,United-States,<=50K -52,Local-gov,305053,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,40,United-States,<=50K -70,Self-emp-not-inc,172370,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K -53,Private,320510,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Private,171355,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -39,Private,65027,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,43,United-States,<=50K -18,Private,215190,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -41,?,149385,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -19,?,169324,Some-college,10,Never-married,?,Own-child,White,Male,0,0,10,United-States,<=50K -24,Private,138938,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,557082,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -32,Private,273287,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,Jamaica,<=50K -34,Self-emp-not-inc,77209,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,60,United-States,>50K -35,Private,317153,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,95469,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,45,United-States,>50K -18,Private,302859,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -37,Private,333651,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,42,United-States,<=50K -30,Private,177596,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K -40,Self-emp-inc,157240,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,30,Iran,>50K -22,Private,184779,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Local-gov,138358,Some-college,10,Separated,Other-service,Unmarried,Black,Female,0,0,28,United-States,<=50K -70,Private,176285,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,23,United-States,<=50K -43,Private,102180,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -77,Self-emp-not-inc,209507,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,229741,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,324546,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,39,United-States,<=50K -51,Private,337195,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1902,50,United-States,>50K -58,State-gov,194068,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -22,Private,250647,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,12,United-States,<=50K -33,Private,477106,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -27,Private,104329,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,224566,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -32,Private,169841,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,55,United-States,<=50K -41,Private,42563,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,25,United-States,>50K -37,Private,31368,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,132755,11th,7,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -50,Private,279129,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K -31,?,86143,HS-grad,9,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -54,State-gov,44172,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K -23,State-gov,93076,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -40,Private,146653,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -29,Private,221366,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,40,Germany,<=50K -38,Private,189404,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,35,?,<=50K -30,Private,172304,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -20,Private,116666,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,8,India,<=50K -43,Self-emp-not-inc,64112,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,55718,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,25,United-States,<=50K -39,Private,126675,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -48,Private,102112,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -41,Self-emp-not-inc,226505,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,211527,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K -20,Private,175069,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,Yugoslavia,<=50K -25,Private,25249,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Private,73411,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -39,Private,207185,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,Puerto-Rico,>50K -66,Private,127139,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -34,Private,41809,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,297449,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,14084,0,40,United-States,>50K -46,Private,141483,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -42,Local-gov,117227,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K -46,Private,377401,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,70,Canada,>50K -34,Local-gov,167063,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,253759,Some-college,10,Married-civ-spouse,Tech-support,Wife,Black,Female,0,0,40,United-States,<=50K -42,Private,183096,Some-college,10,Divorced,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -31,Private,269654,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K -70,?,293076,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -32,Private,34104,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -46,Federal-gov,80057,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Germany,>50K -42,Self-emp-inc,369781,7th-8th,4,Divorced,Craft-repair,Unmarried,White,Male,0,0,25,United-States,<=50K -21,Private,223811,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,163053,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,189461,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,55,United-States,<=50K -50,Local-gov,145166,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -37,Private,86310,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -19,?,263224,11th,7,Never-married,?,Unmarried,White,Female,0,0,30,United-States,<=50K -44,Federal-gov,280362,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -29,Private,301031,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -30,Private,74966,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,24,United-States,<=50K -36,Private,254493,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K -49,Self-emp-not-inc,204241,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -29,Private,225024,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Local-gov,148222,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -75,State-gov,113868,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,20,United-States,>50K -42,Private,132633,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,?,<=50K -37,Private,44780,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,86373,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,25,United-States,<=50K -61,Local-gov,176753,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,United-States,<=50K -33,Private,164707,Assoc-acdm,12,Never-married,Exec-managerial,Unmarried,White,Female,2174,0,55,?,<=50K -50,Local-gov,370733,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -59,Private,216851,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,137951,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -22,Private,185279,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K -56,Private,159724,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -44,Private,103233,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Private,63509,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -57,Private,174353,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,168109,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,15024,0,50,United-States,>50K -27,Private,159724,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Self-emp-not-inc,105010,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2051,20,United-States,<=50K -30,Private,179112,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Male,0,0,40,?,<=50K -46,Private,364913,11th,7,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -48,Self-emp-inc,155664,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -61,Private,230568,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K -33,Private,86492,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,87,United-States,<=50K -40,Private,71305,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -58,Self-emp-inc,189933,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -46,Self-emp-inc,191978,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2392,50,United-States,>50K -35,Private,38948,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -51,Self-emp-inc,139127,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -37,Private,301568,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -64,Private,149044,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,2057,60,China,<=50K -41,Private,197344,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,54,United-States,<=50K -18,Private,32244,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,594,0,30,United-States,<=50K -44,Self-emp-not-inc,315406,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,88,United-States,<=50K -41,State-gov,47170,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Amer-Indian-Eskimo,Female,0,0,48,United-States,>50K -33,State-gov,208785,Some-college,10,Separated,Prof-specialty,Not-in-family,White,Male,10520,0,40,United-States,>50K -37,Private,196338,9th,5,Separated,Priv-house-serv,Unmarried,White,Female,0,0,16,Mexico,<=50K -34,Private,269243,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -24,Federal-gov,215115,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,?,<=50K -20,Private,117767,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,176101,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,138283,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Self-emp-not-inc,132320,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,45,United-States,<=50K -22,Federal-gov,471452,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,8,United-States,<=50K -55,Private,147653,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,73,United-States,<=50K -20,Private,49179,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -26,Private,174921,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Self-emp-inc,95997,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,70,United-States,<=50K -40,Private,247245,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,67072,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -54,?,95329,Some-college,10,Divorced,?,Own-child,White,Male,0,0,50,United-States,<=50K -24,Private,107882,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,241825,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,46,United-States,<=50K -18,Private,79443,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,8,United-States,<=50K -49,Self-emp-not-inc,233059,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -17,Private,226980,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,17,United-States,<=50K -34,Self-emp-not-inc,181087,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -37,Private,305597,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -49,Federal-gov,311671,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -74,Private,129879,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,15831,0,40,United-States,>50K -37,Private,83375,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,115824,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1573,40,United-States,<=50K -40,Private,141657,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,United-States,>50K -34,Private,50276,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,27828,0,40,United-States,>50K -30,Private,177216,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,1740,40,Haiti,<=50K -44,Private,228057,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,Puerto-Rico,<=50K -40,Private,222848,10th,6,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,32,United-States,<=50K -58,Private,121111,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,Greece,<=50K -44,Private,298885,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,149909,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,>50K -39,Private,387430,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,18,United-States,<=50K -19,Private,121972,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -41,Private,280167,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,70,United-States,>50K -29,State-gov,191355,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Federal-gov,112115,Some-college,10,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -38,?,104094,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -27,Private,211032,Preschool,1,Married-civ-spouse,Farming-fishing,Other-relative,White,Male,41310,0,24,Mexico,<=50K -54,Private,199307,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,48,United-States,<=50K -40,Private,205175,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,37,United-States,<=50K -19,Private,257750,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,25,United-States,<=50K -17,Private,191260,11th,7,Never-married,Other-service,Own-child,White,Male,594,0,10,United-States,<=50K -33,Private,342730,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,<=50K -80,Private,249983,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -24,Self-emp-not-inc,161508,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -28,Private,338376,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -55,Private,334308,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,>50K -21,Private,133471,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,129177,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -19,Private,178811,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -42,Private,178537,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -60,Self-emp-not-inc,235535,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K -20,?,298155,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K -51,Private,145114,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,194096,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -37,State-gov,191779,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,159732,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,52,United-States,<=50K -42,Federal-gov,170230,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,14084,0,60,United-States,>50K -40,Private,104719,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,163083,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -33,Private,403552,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,32,United-States,<=50K -62,Private,218009,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1977,60,United-States,>50K -47,Private,179313,10th,6,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -26,Private,51961,12th,8,Never-married,Sales,Other-relative,Black,Male,0,0,51,United-States,<=50K -59,Private,426001,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,20,Puerto-Rico,<=50K -70,Local-gov,176493,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,17,United-States,<=50K -26,Private,124068,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -47,Private,108510,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K -25,Private,181528,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,<=50K -52,Self-emp-inc,173754,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K -46,Private,169699,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -67,Private,126849,10th,6,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,20,United-States,<=50K -34,Private,204470,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -53,State-gov,116367,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,4650,0,40,United-States,<=50K -22,Private,117363,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -39,Local-gov,106297,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Male,0,0,42,United-States,<=50K -54,Self-emp-not-inc,108933,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -24,Private,190143,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,246677,HS-grad,9,Separated,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K -38,Private,175360,10th,6,Never-married,Prof-specialty,Not-in-family,White,Male,0,2559,90,United-States,>50K -41,Local-gov,210259,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -36,Private,166304,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,33,United-States,<=50K -43,Private,303051,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -39,Private,49308,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,192262,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K -49,Local-gov,192349,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,4650,0,40,United-States,<=50K -37,Self-emp-not-inc,48063,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -43,Private,170214,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -54,Federal-gov,51048,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -53,Self-emp-inc,246562,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Mexico,>50K -57,Local-gov,215175,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -28,Private,114967,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -29,Private,464536,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,451996,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,138852,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,State-gov,353012,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -50,Self-emp-inc,321822,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,75,United-States,>50K -50,Self-emp-not-inc,324506,HS-grad,9,Widowed,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,48,South,<=50K -36,Private,162256,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Local-gov,356689,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,260199,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -36,Private,103605,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,316211,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,308691,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -39,Private,194404,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -18,Private,334427,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,36,United-States,<=50K -33,Private,213226,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -35,Private,342824,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,1151,0,40,United-States,<=50K -23,Private,33105,Some-college,10,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -37,Private,147638,Bachelors,13,Separated,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,36,Philippines,<=50K -25,Private,315643,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -51,Federal-gov,106257,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,<=50K -35,Private,342768,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,108960,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -66,?,168071,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -32,Private,136935,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,13,United-States,<=50K -37,Self-emp-not-inc,188774,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Male,0,0,55,United-States,>50K -29,Private,280344,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -45,Private,202496,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,37,United-States,<=50K -61,Self-emp-inc,134768,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,175686,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,194748,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Female,0,0,49,United-States,<=50K -49,Private,61307,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,38,United-States,<=50K -51,Self-emp-not-inc,165001,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,25236,0,50,United-States,>50K -34,Private,325658,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -28,?,201844,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,40,Mexico,<=50K -20,Private,505980,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,185336,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,37,United-States,<=50K -49,Self-emp-inc,362795,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,99999,0,80,Mexico,>50K -26,Private,126829,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -63,Private,264600,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -36,Private,82743,Assoc-acdm,12,Never-married,Transport-moving,Not-in-family,White,Male,0,0,55,Iran,<=50K -63,Self-emp-not-inc,125178,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -22,Private,128487,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,10,United-States,<=50K -40,Private,321758,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -31,Private,128220,7th-8th,4,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -49,Private,176814,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Canada,<=50K -35,Private,188069,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,13550,0,55,?,>50K -23,State-gov,156423,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K -25,Private,169905,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,27828,0,40,United-States,>50K -34,?,157289,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,176972,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -44,Self-emp-not-inc,171424,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,2205,35,United-States,<=50K -33,Private,91811,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,203924,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,2597,0,45,United-States,<=50K -55,Private,177484,11th,7,Married-civ-spouse,Other-service,Husband,Black,Male,0,1672,40,United-States,<=50K -17,?,454614,11th,7,Never-married,?,Own-child,White,Female,0,0,8,United-States,<=50K -75,Self-emp-not-inc,242108,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,2346,0,15,United-States,<=50K -61,Private,132972,9th,5,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -53,Private,157947,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Local-gov,177482,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K -48,Private,246891,Some-college,10,Widowed,Sales,Unmarried,White,Male,0,0,50,United-States,>50K -28,State-gov,158834,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -30,?,203834,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,50,Taiwan,<=50K -29,Private,110442,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,240676,Some-college,10,Divorced,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -37,Private,192939,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -43,Local-gov,260696,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,55,United-States,<=50K -40,Local-gov,55363,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,144949,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -55,Private,116878,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,30,United-States,>50K -31,Local-gov,357954,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,20,United-States,<=50K -21,?,170038,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -32,Self-emp-not-inc,190290,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Italy,<=50K -26,State-gov,203279,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,2463,0,50,India,<=50K -26,Private,167761,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -44,Private,138845,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,144844,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,52,United-States,>50K -21,?,161930,HS-grad,9,Never-married,?,Own-child,Black,Female,0,1504,30,United-States,<=50K -26,Private,55743,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,30,United-States,<=50K -40,Self-emp-not-inc,117721,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -19,Self-emp-not-inc,116385,11th,7,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Private,301867,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,238913,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -28,Self-emp-not-inc,123983,Some-college,10,Married-civ-spouse,Sales,Own-child,Asian-Pac-Islander,Male,0,0,63,South,<=50K -26,Private,165510,Bachelors,13,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -64,Private,183513,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -42,Self-emp-inc,119281,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -41,Private,152629,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -45,Private,110171,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,211440,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -41,Local-gov,359259,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,125796,11th,7,Separated,Other-service,Not-in-family,Black,Female,0,0,40,Jamaica,<=50K -34,Private,39609,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,111567,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,45,Germany,>50K -23,Private,44064,Some-college,10,Separated,Other-service,Not-in-family,White,Male,0,2559,40,United-States,>50K -35,Self-emp-not-inc,120066,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K -41,Private,132633,11th,7,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,25,Guatemala,<=50K -39,Private,192702,Masters,14,Never-married,Craft-repair,Not-in-family,White,Female,0,0,50,United-States,<=50K -41,Private,166813,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -33,Self-emp-inc,40444,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,290504,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -25,Private,178505,Some-college,10,Never-married,Exec-managerial,Other-relative,White,Female,0,1504,45,United-States,<=50K -25,Private,175370,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -77,Self-emp-not-inc,72931,7th-8th,4,Married-spouse-absent,Adm-clerical,Not-in-family,White,Male,0,0,20,Italy,>50K -33,?,234542,Assoc-voc,11,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -66,Private,284021,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,277974,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -44,Private,111275,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,38,United-States,<=50K -45,Self-emp-inc,191776,Masters,14,Divorced,Sales,Unmarried,White,Female,25236,0,42,United-States,>50K -28,Private,125527,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -19,Private,38294,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,2597,0,40,United-States,<=50K -43,Private,313022,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,4386,0,40,United-States,>50K -39,Private,179668,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,15024,0,40,United-States,>50K -33,Private,198660,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -44,Private,216116,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,Black,Female,0,0,40,Jamaica,<=50K -62,Private,200922,7th-8th,4,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,153372,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -41,Private,406603,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,6,Iran,<=50K -23,Local-gov,248344,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,30,United-States,<=50K -48,Private,240629,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,>50K -38,Private,314310,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -37,Private,259785,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -45,Private,127111,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -29,Private,178272,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -66,Local-gov,75134,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,25,United-States,<=50K -19,Private,195985,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -23,Private,221955,9th,5,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,39,Mexico,<=50K -34,Private,177675,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -39,Private,182828,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -33,Self-emp-not-inc,270889,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -43,Private,183096,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,10,United-States,<=50K -27,Private,336951,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,<=50K -33,State-gov,295589,Some-college,10,Separated,Adm-clerical,Own-child,Black,Male,0,0,35,United-States,<=50K -26,Private,289980,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,Mexico,<=50K -56,Self-emp-inc,70720,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,27828,0,60,United-States,>50K -46,Private,163352,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,36,United-States,<=50K -38,Private,190776,Assoc-acdm,12,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -90,Private,313986,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -72,Self-emp-inc,473748,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,>50K -20,Private,163003,HS-grad,9,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,15,United-States,<=50K -29,Private,183061,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,48,United-States,<=50K -49,Private,123584,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,75,United-States,<=50K -23,Private,120910,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -20,Private,227554,Some-college,10,Married-spouse-absent,Sales,Own-child,Black,Female,0,0,18,United-States,<=50K -57,Private,182677,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,4508,0,40,South,<=50K -46,Private,214955,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,209768,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -24,Private,258120,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,55,Jamaica,<=50K -49,Private,110015,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Greece,<=50K -54,Private,152652,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -46,Federal-gov,43206,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,1564,50,United-States,>50K -31,Self-emp-not-inc,114639,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -43,Self-emp-inc,221172,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K -18,?,128538,Some-college,10,Never-married,?,Own-child,White,Female,0,0,6,United-States,<=50K -19,Private,131615,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,353824,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,178417,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Private,178644,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,271665,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -37,?,223732,Some-college,10,Separated,?,Unmarried,White,Male,0,0,40,United-States,<=50K -21,Federal-gov,169003,12th,8,Never-married,Adm-clerical,Own-child,Black,Male,0,0,25,United-States,<=50K -52,State-gov,338816,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,70,United-States,>50K -34,Private,506858,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,>50K -28,Private,265628,Assoc-voc,11,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -34,Private,173495,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,177413,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -39,Private,31670,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K -49,Private,154451,11th,7,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,35,United-States,<=50K -35,Private,265535,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,50,Jamaica,>50K -31,Private,118941,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -18,Private,214617,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -47,Local-gov,265097,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,4386,0,40,United-States,>50K -46,Private,276087,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,5013,0,50,United-States,<=50K -43,Private,124692,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -51,Federal-gov,306784,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,United-States,>50K -21,Private,434102,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,?,387641,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -31,State-gov,181824,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,35,United-States,>50K -39,Local-gov,177907,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,40,United-States,>50K -58,Private,87329,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,<=50K -36,Private,263130,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,262882,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -31,Private,37546,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,35,United-States,>50K -19,Private,27433,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,393945,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,36,United-States,<=50K -26,Private,173927,Assoc-voc,11,Never-married,Prof-specialty,Own-child,Other,Female,0,0,60,Jamaica,<=50K -38,Private,343403,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,16,United-States,<=50K -36,Private,111128,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -40,Private,193882,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -25,Private,310864,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Male,0,0,40,?,<=50K -41,Private,128354,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,25,United-States,>50K -33,Private,113364,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -63,?,198559,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K -51,Private,136913,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,115488,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,154227,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,279667,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -30,Self-emp-not-inc,281030,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,66,United-States,<=50K -19,Private,283945,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K -47,Private,454989,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -26,Private,391349,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,State-gov,166704,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,14,United-States,<=50K -36,Private,151835,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,>50K -60,Private,199085,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,61487,HS-grad,9,Never-married,Prof-specialty,Unmarried,Black,Male,0,0,40,United-States,<=50K -19,Private,120251,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,14,United-States,<=50K -42,Private,273230,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,90,United-States,<=50K -36,Private,358373,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Female,0,0,36,United-States,<=50K -35,Private,267891,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,38,United-States,<=50K -22,Private,234880,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -54,Private,48358,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -36,Private,96452,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -55,Private,204751,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -57,Private,375868,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,413373,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,36,United-States,<=50K -24,Private,537222,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -35,Local-gov,33975,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -51,Self-emp-inc,162327,11th,7,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,182691,HS-grad,9,Divorced,Exec-managerial,Own-child,White,Male,0,0,44,United-States,<=50K -36,Private,300829,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,42,United-States,<=50K -51,Local-gov,114508,9th,5,Separated,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -46,Self-emp-inc,214627,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -42,Private,129684,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Black,Female,5455,0,50,United-States,<=50K -25,State-gov,120041,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,361138,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,50,United-States,<=50K -37,Private,76893,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,205424,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,40,United-States,>50K -61,Private,176839,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -40,Private,229148,12th,8,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,Jamaica,<=50K -58,Self-emp-inc,154537,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,20,United-States,>50K -52,Private,181901,HS-grad,9,Married-spouse-absent,Farming-fishing,Other-relative,White,Male,0,0,20,Mexico,<=50K -18,Private,152004,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K -27,Private,205188,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -48,Self-emp-not-inc,30840,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,45,United-States,<=50K -63,Private,66634,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,16,United-States,<=50K -38,Self-emp-not-inc,180220,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -31,Private,291052,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,2051,40,United-States,<=50K -40,Self-emp-not-inc,99651,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -41,Private,327723,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,32291,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,2174,0,40,United-States,<=50K -31,Private,345122,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,14084,0,50,United-States,>50K -32,Private,127384,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -30,Private,363296,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,72,United-States,<=50K -39,Local-gov,86551,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,1876,40,United-States,<=50K -28,Private,30070,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -31,Private,595000,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Female,0,0,35,United-States,<=50K -21,?,152328,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -33,?,177824,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,40,United-States,<=50K -44,State-gov,111483,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -22,Private,199555,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,25,United-States,<=50K -42,Private,50018,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -36,Private,218490,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -39,Private,49020,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,1974,40,United-States,<=50K -61,Private,213321,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,40,United-States,<=50K -31,Private,159187,HS-grad,9,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,83033,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,Germany,<=50K -39,Self-emp-not-inc,31848,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,2829,0,90,United-States,<=50K -34,Self-emp-not-inc,24961,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -21,Private,182117,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -75,Self-emp-not-inc,146576,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Male,0,0,48,United-States,>50K -21,Private,176690,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K -81,Private,122651,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K -54,Self-emp-inc,149650,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,Canada,<=50K -34,Private,454508,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,Iran,<=50K -54,Self-emp-not-inc,269068,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,99999,0,50,Philippines,>50K -41,Private,266530,HS-grad,9,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,0,0,45,United-States,<=50K -61,?,198542,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -63,Private,133144,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,2580,0,20,United-States,<=50K -24,Private,217961,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,221661,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Mexico,<=50K -44,Local-gov,60735,Bachelors,13,Divorced,Prof-specialty,Own-child,White,Female,0,0,60,United-States,<=50K -47,Self-emp-not-inc,121124,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -31,Private,48588,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,48087,7th-8th,4,Divorced,Craft-repair,Not-in-family,White,Male,0,1590,40,United-States,<=50K -53,Self-emp-not-inc,240138,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -63,Private,273010,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,3471,0,40,United-States,<=50K -44,Private,104196,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -37,Private,230035,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,>50K -28,Private,38918,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Germany,>50K -71,?,205011,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -57,Private,176079,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,180052,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,10,United-States,<=50K -33,Local-gov,173005,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1848,45,United-States,>50K -30,Private,378723,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,55,United-States,<=50K -20,Private,233624,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,192591,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -54,Private,249860,11th,7,Divorced,Priv-house-serv,Unmarried,Black,Female,0,0,10,United-States,<=50K -20,Private,247564,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -34,Private,238912,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,190227,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -29,State-gov,293287,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,180807,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,250217,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,70,United-States,<=50K -19,Private,217418,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,38,United-States,<=50K -22,Local-gov,137510,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -59,State-gov,163047,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -18,Private,577521,11th,7,Never-married,Sales,Own-child,White,Male,0,0,13,United-States,<=50K -22,Private,221533,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -42,Local-gov,255675,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -39,Private,114079,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,155781,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -28,Private,243762,11th,7,Separated,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,113062,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,7,United-States,<=50K -67,Private,217028,Masters,14,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,110723,11th,7,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -47,Federal-gov,191858,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -23,Private,179423,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,5,United-States,<=50K -20,Private,339588,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Peru,<=50K -22,Private,206815,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,Peru,<=50K -47,State-gov,103743,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,235683,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -64,?,207321,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -35,State-gov,197495,Some-college,10,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -52,Federal-gov,424012,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,178469,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -73,Self-emp-inc,92886,10th,6,Widowed,Sales,Unmarried,White,Female,0,0,40,Canada,<=50K -38,Self-emp-not-inc,214008,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -59,Self-emp-not-inc,325732,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,52,United-States,>50K -35,Private,28572,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,4064,0,35,United-States,<=50K -18,Private,118376,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -24,Private,51799,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -33,Local-gov,115488,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -40,Private,190621,Some-college,10,Divorced,Exec-managerial,Other-relative,Black,Female,0,0,55,United-States,<=50K -55,Private,193568,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,192878,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,264663,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,60,United-States,<=50K -22,Private,234731,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -55,Private,308373,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -45,Private,205644,HS-grad,9,Separated,Tech-support,Not-in-family,White,Female,0,0,26,United-States,<=50K -47,Local-gov,321851,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -56,Private,206399,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,124563,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -32,State-gov,198211,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K -17,Private,130795,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -44,Private,71269,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -32,Self-emp-not-inc,319280,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,80,United-States,<=50K -35,Private,125933,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -27,Private,107236,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,32732,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -68,Private,284763,11th,7,Divorced,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K -20,Private,112668,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -33,Private,376483,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -24,Private,402778,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K -48,Private,36177,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -45,Private,125489,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -48,Private,304791,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,209205,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -60,?,112821,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,>50K -39,Local-gov,178100,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,70261,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -23,State-gov,186634,12th,8,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,32958,Some-college,10,Separated,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -25,Private,254746,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -52,Private,158746,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,140854,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,51506,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,189564,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,42,United-States,>50K -37,Federal-gov,325538,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -58,Private,213975,Assoc-voc,11,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -67,Self-emp-not-inc,431426,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,2,United-States,<=50K -48,Private,199763,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,8,United-States,<=50K -63,Private,161563,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -24,Local-gov,252024,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,>50K -43,Private,43945,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -36,Private,178487,HS-grad,9,Divorced,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K -32,Private,604506,HS-grad,9,Married-civ-spouse,Transport-moving,Own-child,White,Male,0,0,72,Mexico,<=50K -36,Private,228157,Some-college,10,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K -43,Private,199191,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -27,Private,189775,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -17,Private,171080,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K -45,Private,117310,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,46,United-States,<=50K -41,Self-emp-inc,82049,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,126094,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,<=50K -18,?,202516,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -48,Local-gov,246392,Assoc-acdm,12,Separated,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -51,?,69328,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K -26,Private,292803,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -54,Private,286989,Preschool,1,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -22,Private,190483,Some-college,10,Divorced,Sales,Own-child,White,Female,0,0,48,Iran,<=50K -19,Private,235849,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,35,United-States,<=50K -47,Private,359766,7th-8th,4,Divorced,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K -32,Private,128016,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -46,Private,360096,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -30,Private,170154,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,>50K -35,Private,337286,Masters,14,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -52,Private,204322,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,5013,0,40,United-States,<=50K -73,Self-emp-not-inc,143833,12th,8,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,18,United-States,<=50K -17,Private,365613,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,10,Canada,<=50K -32,Private,100135,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K -43,Local-gov,180096,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -19,?,371827,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,Portugal,<=50K -26,Private,61270,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Other,Female,0,0,40,Columbia,<=50K -41,Federal-gov,564135,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -49,Private,198759,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K -52,State-gov,303462,Some-college,10,Separated,Protective-serv,Unmarried,White,Male,0,0,40,United-States,<=50K -35,Private,193106,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K -57,Private,250201,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,52,United-States,<=50K -35,Private,200426,Assoc-voc,11,Married-spouse-absent,Prof-specialty,Unmarried,White,Female,0,0,44,United-States,<=50K -33,Private,222654,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Private,53366,7th-8th,4,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -42,Private,132222,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,60,United-States,<=50K -17,Private,100828,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -49,Private,31264,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -39,Private,202027,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -34,Self-emp-not-inc,168906,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K -37,Self-emp-not-inc,255454,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -22,Private,245524,12th,8,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -27,Private,386040,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -21,Private,35424,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -59,?,93655,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,152629,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,3103,0,40,United-States,>50K -53,Self-emp-not-inc,151159,10th,6,Married-spouse-absent,Transport-moving,Not-in-family,White,Male,0,0,99,United-States,<=50K -26,Private,410240,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,138970,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -39,Private,269722,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -34,Private,223678,HS-grad,9,Never-married,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,32,United-States,<=50K -54,State-gov,197184,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,<=50K -36,Private,143486,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,50,United-States,>50K -60,Private,160625,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,40,United-States,<=50K -50,Private,140516,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -48,Local-gov,85341,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -35,Private,108293,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,2205,40,United-States,<=50K -40,Self-emp-not-inc,192507,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -30,Private,186932,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -65,Self-emp-not-inc,223580,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,6514,0,40,United-States,>50K -31,Private,236861,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -46,Local-gov,327886,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -67,?,407618,9th,5,Divorced,?,Not-in-family,White,Female,2050,0,40,United-States,<=50K -62,Self-emp-inc,197060,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,229180,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,Cuba,<=50K -24,Private,284317,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -24,Private,73514,Some-college,10,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,50,Philippines,<=50K -27,Private,47907,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,<=50K -43,State-gov,134782,Assoc-acdm,12,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -48,Private,118831,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,Asian-Pac-Islander,Female,0,0,40,South,<=50K -41,Private,299505,HS-grad,9,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -30,Private,267161,Some-college,10,Married-civ-spouse,Tech-support,Wife,Black,Female,0,0,45,United-States,<=50K -38,Private,119177,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -45,Private,327886,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -45,Private,187730,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -55,Private,109015,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -46,Self-emp-not-inc,110015,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,Greece,<=50K -24,Private,104146,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -31,Local-gov,50442,Some-college,10,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,25,United-States,<=50K -35,Private,57640,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -37,Local-gov,333664,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,224858,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -56,Private,290641,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -60,?,191118,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,1848,40,United-States,>50K -25,Private,34402,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1590,60,United-States,<=50K -33,Private,245378,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,179136,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,116788,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,129699,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Federal-gov,39606,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,England,>50K -44,Self-emp-inc,95150,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -63,Private,102479,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,199191,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K -31,Private,229636,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Mexico,<=50K -26,Private,53833,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,<=50K -37,Self-emp-inc,27997,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -60,?,124487,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,>50K -33,Private,111363,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -38,Private,107630,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,134287,Assoc-voc,11,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -46,Self-emp-inc,283004,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,63,Thailand,<=50K -24,Private,33616,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -47,Local-gov,121124,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -27,Private,188189,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,30,United-States,<=50K -46,Private,106255,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Federal-gov,282830,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -47,Private,243904,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,Honduras,<=50K -69,Private,165017,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Male,2538,0,40,United-States,<=50K -32,Private,131584,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K -51,Private,427781,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -36,Private,334291,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -50,Local-gov,173224,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -29,Private,87507,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,60,India,<=50K -32,Private,187560,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,3908,0,40,United-States,<=50K -27,Private,204497,10th,6,Divorced,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Male,0,0,75,United-States,<=50K -60,Private,230545,7th-8th,4,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,Cuba,<=50K -31,Private,118161,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,150499,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Local-gov,96554,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -39,Private,288551,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,52,United-States,>50K -69,Self-emp-not-inc,104003,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -54,Self-emp-inc,124963,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -56,Private,198388,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Federal-gov,126204,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,91709,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,45,United-States,<=50K -34,Self-emp-not-inc,152109,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -24,Self-emp-not-inc,191954,7th-8th,4,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K -63,Private,108097,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,10566,0,45,United-States,<=50K -29,Local-gov,289991,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -64,Private,92115,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,320277,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,33610,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,60,United-States,<=50K -36,Private,168276,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,State-gov,175127,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,38,United-States,>50K -37,Private,254973,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,United-States,>50K -37,Private,95336,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,65,United-States,<=50K -63,Private,346975,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,36,United-States,>50K -33,Private,227282,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -19,Private,138153,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -57,Local-gov,174132,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,1977,40,United-States,>50K -31,Private,182237,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,4386,0,45,United-States,>50K -20,?,111252,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -58,Local-gov,217775,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -20,?,168863,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -25,Private,394503,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,141657,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -18,Private,125441,11th,7,Never-married,Other-service,Own-child,White,Male,1055,0,20,United-States,<=50K -26,Private,172230,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,282944,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -45,Local-gov,55377,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K -35,State-gov,49352,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K -32,Private,213887,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,45,United-States,<=50K -61,Self-emp-not-inc,24046,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -26,State-gov,208122,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,15,United-States,<=50K -56,Private,176118,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K -22,Private,227994,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,39,United-States,<=50K -49,Private,215389,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,48,United-States,<=50K -40,Private,99434,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,12,United-States,<=50K -37,Private,190964,HS-grad,9,Separated,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -23,?,113700,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K -28,Private,259840,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -27,Private,168827,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -34,Self-emp-inc,28984,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,182211,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -41,Private,82393,Some-college,10,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -28,Private,183639,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,21,United-States,<=50K -38,Private,342448,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -47,State-gov,469907,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1740,40,United-States,<=50K -28,Local-gov,211920,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -44,State-gov,33658,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -41,Federal-gov,34178,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,400630,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,>50K -73,Self-emp-not-inc,161251,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,24,United-States,<=50K -21,Private,255685,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,Outlying-US(Guam-USVI-etc),<=50K -38,Private,199256,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -64,?,143716,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,<=50K -47,Private,221666,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Private,145409,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,60,Canada,>50K -24,Private,39615,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -44,Private,104440,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -27,Private,151382,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,White,Male,0,974,40,United-States,<=50K -61,Self-emp-not-inc,503675,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,>50K -58,Private,306233,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -51,Private,216475,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,1564,43,United-States,>50K -49,Private,50748,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,55,England,<=50K -23,Private,107190,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K -19,Private,206874,Assoc-voc,11,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -21,Private,83141,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,53,United-States,<=50K -56,Private,444089,11th,7,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,141896,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Federal-gov,33487,Some-college,10,Divorced,Tech-support,Unmarried,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K -41,Private,65372,Doctorate,16,Divorced,Sales,Unmarried,White,Female,0,0,50,United-States,>50K -30,Private,341346,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,343403,Doctorate,16,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,20,?,<=50K -47,Private,287480,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -59,Self-emp-inc,107287,10th,6,Widowed,Exec-managerial,Unmarried,White,Female,0,2559,50,United-States,>50K -55,Private,199067,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,32,United-States,<=50K -22,?,182771,Assoc-voc,11,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K -31,Private,159737,10th,6,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,Private,110643,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,4386,0,40,United-States,>50K -24,Private,117583,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,48,United-States,<=50K -49,Self-emp-not-inc,43479,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,203003,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,25,Germany,<=50K -50,Private,133963,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -38,Private,227794,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -20,Self-emp-not-inc,112137,Some-college,10,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,0,20,South,<=50K -49,Self-emp-not-inc,110457,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -45,Private,281565,HS-grad,9,Widowed,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,50,South,<=50K -46,Federal-gov,297906,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K -19,Private,151506,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -31,Federal-gov,139455,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,Cuba,<=50K -38,Private,26987,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -56,Self-emp-not-inc,233312,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -24,Private,161092,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -58,Local-gov,98361,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,188928,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,164922,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,185673,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,193598,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Mexico,<=50K -56,Private,274111,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -32,Private,245482,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -56,Private,160932,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,>50K -50,Private,44368,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -28,?,291374,HS-grad,9,Separated,?,Unmarried,Black,Female,0,0,30,United-States,<=50K -30,Private,280927,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,222993,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -42,Federal-gov,25240,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -31,Self-emp-not-inc,204052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -18,Private,74054,11th,7,Never-married,Sales,Own-child,Other,Female,0,0,20,?,<=50K -46,Private,169042,10th,6,Never-married,Other-service,Not-in-family,White,Female,0,0,25,Ecuador,<=50K -31,Private,104509,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,65,United-States,>50K -38,Local-gov,185394,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,40,United-States,>50K -44,Local-gov,254146,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -55,Self-emp-inc,227856,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,50,United-States,>50K -19,Private,183041,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -45,Private,107682,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -50,Self-emp-inc,287598,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K -53,Private,182186,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Dominican-Republic,<=50K -41,Self-emp-inc,194636,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,65,United-States,>50K -45,Private,112305,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -21,Private,212661,10th,6,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,39,United-States,<=50K -37,Private,32709,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -42,Federal-gov,46366,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -37,Self-emp-not-inc,24106,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,30,United-States,<=50K -46,Private,170850,Bachelors,13,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,1590,40,?,<=50K -45,Self-emp-not-inc,40666,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -32,Private,182975,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,20,United-States,<=50K -30,Private,345122,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -57,?,208311,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,80,United-States,>50K -37,Private,120045,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,56,United-States,<=50K -18,?,201299,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -32,Private,152940,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -43,Private,243580,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -46,Private,182128,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,6497,0,50,United-States,<=50K -36,?,176458,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,28,United-States,<=50K -33,Private,101562,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,108699,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,175878,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Female,0,0,40,United-States,<=50K -34,Local-gov,177675,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,50,United-States,>50K -33,Private,213887,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,357619,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,60,Germany,<=50K -23,Private,435835,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,1669,55,United-States,<=50K -39,Private,165799,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,71469,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -19,Private,229745,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K -47,Private,284916,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,45,United-States,>50K -46,Private,28419,Assoc-voc,11,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -47,Private,26950,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,0,6,United-States,<=50K -47,Self-emp-not-inc,107231,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -52,Local-gov,512103,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,245090,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -58,Private,314153,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -32,Private,243988,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -54,Self-emp-not-inc,82551,Assoc-voc,11,Married-civ-spouse,Tech-support,Other-relative,White,Female,0,0,10,United-States,<=50K -20,Private,42706,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,25,United-States,<=50K -25,Private,235795,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K -25,Self-emp-not-inc,108001,9th,5,Never-married,Craft-repair,Not-in-family,White,Male,0,0,15,United-States,<=50K -36,State-gov,112497,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,1876,44,United-States,<=50K -69,Self-emp-not-inc,128206,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,30,United-States,<=50K -28,Private,224634,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -20,Private,362999,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -21,Private,346693,7th-8th,4,Never-married,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K -37,Private,175759,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -21,Private,99199,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,32,United-States,<=50K -25,?,219987,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,13,United-States,<=50K -39,Private,143445,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K -34,Private,118710,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -33,Local-gov,224185,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,118972,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -29,Private,165360,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,38950,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,89,United-States,<=50K -42,Self-emp-inc,277256,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K -29,Private,247151,11th,7,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,213722,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,209955,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -41,Private,174395,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -45,Private,138626,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,1876,50,United-States,<=50K -22,?,179973,Assoc-voc,11,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,200207,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,44,United-States,<=50K -19,Private,156587,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K -24,Private,33016,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,197496,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,?,<=50K -32,Private,153588,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,99736,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,15020,0,50,United-States,>50K -36,Private,284166,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,60,United-States,>50K -18,Private,716066,10th,6,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,United-States,<=50K -27,Private,188519,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,109080,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -52,Private,174421,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K -24,Private,259351,Some-college,10,Never-married,Craft-repair,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,Mexico,<=50K -42,Federal-gov,284403,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -39,Private,85319,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,60,United-States,>50K -20,?,201766,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -20,State-gov,340475,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -39,Private,487486,HS-grad,9,Widowed,Handlers-cleaners,Unmarried,White,Male,0,0,40,?,<=50K -68,?,484298,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -35,Private,170617,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,48,United-States,<=50K -54,Private,94055,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,117779,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,209770,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,8,United-States,<=50K -20,Private,317443,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,15,United-States,<=50K -64,?,140237,Preschool,1,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,107411,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -36,Self-emp-not-inc,122493,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,<=50K -44,Self-emp-inc,195124,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,?,<=50K -38,Private,101978,Some-college,10,Separated,Machine-op-inspct,Not-in-family,White,Male,0,2258,55,United-States,>50K -22,Private,335453,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -56,Private,318329,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,100321,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -24,Self-emp-not-inc,81145,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,75,United-States,<=50K -22,Private,62865,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,176262,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,30,United-States,<=50K -42,Private,168103,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -41,Local-gov,208174,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,55,United-States,<=50K -19,Private,188815,HS-grad,9,Never-married,Other-service,Own-child,White,Female,34095,0,20,United-States,<=50K -67,Self-emp-not-inc,226092,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,44,United-States,<=50K -20,Private,212668,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -32,Private,381583,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,<=50K -46,Private,239439,HS-grad,9,Separated,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -52,Private,172493,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,36,United-States,<=50K -44,Private,239876,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Male,0,0,40,United-States,<=50K -65,?,221881,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,40,Mexico,<=50K -37,Local-gov,218184,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -27,Self-emp-not-inc,206889,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,110668,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,35,United-States,<=50K -30,Private,211028,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -64,Local-gov,202984,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,40,United-States,<=50K -48,Private,20296,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,>50K -35,Private,194690,7th-8th,4,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Self-emp-not-inc,204984,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -63,Self-emp-not-inc,35021,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1977,32,China,>50K -40,Self-emp-not-inc,238574,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -33,Private,345360,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,192381,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -25,Private,479765,7th-8th,4,Never-married,Sales,Other-relative,White,Male,0,0,45,Guatemala,<=50K -45,Self-emp-inc,34091,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K -30,Private,151773,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -53,Private,299080,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -63,Private,135339,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,2105,0,40,Vietnam,<=50K -27,Local-gov,52156,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K -31,Private,318647,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,80145,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -39,State-gov,343646,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,Mexico,>50K -42,Self-emp-not-inc,198692,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -19,Private,266635,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,30,United-States,<=50K -31,Private,197672,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,185846,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,315110,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -27,Private,220754,Doctorate,16,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,64292,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,126060,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -52,Private,78012,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,1762,40,United-States,<=50K -32,Private,210562,Assoc-voc,11,Divorced,Craft-repair,Own-child,White,Male,0,0,46,United-States,<=50K -23,Private,350181,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,233421,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -53,Private,167170,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -18,Private,260801,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -41,Private,173370,Bachelors,13,Separated,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -27,Private,135520,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Dominican-Republic,<=50K -30,Private,121308,Some-college,10,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,444743,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,65225,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -58,State-gov,136982,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,40,Honduras,<=50K -45,State-gov,271962,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,204046,10th,6,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,225823,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,183009,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Other,Female,0,1590,40,United-States,<=50K -50,Private,121038,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K -26,Private,49092,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,148709,HS-grad,9,Separated,Handlers-cleaners,Other-relative,White,Female,0,0,40,United-States,<=50K -27,Private,209205,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -36,Local-gov,285865,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -22,Federal-gov,216129,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K -37,Federal-gov,40955,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,Japan,<=50K -54,Private,197189,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,33001,HS-grad,9,Divorced,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K -44,Private,227399,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K -38,Private,164050,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K -49,Private,259087,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,236262,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K -26,Private,177929,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K -48,Private,166929,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,?,>50K -32,Private,199963,11th,7,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -35,State-gov,98776,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,135056,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -40,Self-emp-not-inc,55363,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3411,0,40,United-States,<=50K -42,State-gov,102343,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,72,India,>50K -30,Private,231263,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,226913,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -36,Private,129573,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -31,Private,191001,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Federal-gov,69345,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -38,Private,204556,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -35,Private,192626,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -45,Private,202812,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -29,Private,405177,10th,6,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,227890,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,46,United-States,>50K -33,Private,101352,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -49,Private,82572,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K -28,Private,132686,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -49,Local-gov,149210,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,15024,0,40,United-States,>50K -27,Private,245661,HS-grad,9,Separated,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -47,Self-emp-inc,483596,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,2885,0,32,United-States,<=50K -42,State-gov,104663,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,Italy,>50K -30,Private,347166,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -37,Local-gov,108540,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,333305,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,<=50K -51,Private,155408,HS-grad,9,Married-spouse-absent,Sales,Not-in-family,Black,Female,0,0,38,United-States,<=50K -27,Federal-gov,246372,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,30290,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,347321,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Self-emp-inc,205852,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -40,Federal-gov,163215,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,?,<=50K -54,State-gov,93449,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -47,Self-emp-inc,116927,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K -35,Private,164526,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Yugoslavia,>50K -33,Private,31573,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -28,Local-gov,125159,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,40,Haiti,<=50K -39,State-gov,201105,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,>50K -25,?,122745,HS-grad,9,Never-married,?,Own-child,White,Male,0,1602,40,United-States,<=50K -33,Private,150570,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,118941,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,40,Ireland,<=50K -53,Private,141388,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -21,Private,174714,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K -31,State-gov,75755,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,55,United-States,>50K -63,Private,133144,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -21,Self-emp-not-inc,318865,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -59,Private,109638,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -50,Private,92969,1st-4th,2,Separated,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -66,?,376028,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K -19,Private,144161,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K -31,Private,183778,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -23,Private,398904,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -45,Private,170846,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -35,Local-gov,204277,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,205152,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,225395,7th-8th,4,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,60,Mexico,<=50K -38,Private,33975,HS-grad,9,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,>50K -49,Private,147032,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,8,Philippines,<=50K -64,Private,174826,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -60,Local-gov,232769,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K -25,Private,36984,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -21,Private,292264,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -26,Private,303973,HS-grad,9,Never-married,Priv-house-serv,Other-relative,White,Female,0,1602,15,Mexico,<=50K -23,Private,287988,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,20,United-States,<=50K -67,Self-emp-inc,330144,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K -24,Private,191948,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -46,Private,324601,1st-4th,2,Separated,Machine-op-inspct,Own-child,White,Female,0,0,40,Guatemala,<=50K -38,State-gov,200289,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K -20,Private,113307,7th-8th,4,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -28,?,194087,Some-college,10,Never-married,?,Other-relative,White,Female,0,0,40,United-States,<=50K -26,Private,155213,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,<=50K -58,Private,175127,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -31,State-gov,358461,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -37,State-gov,354929,Assoc-acdm,12,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,38,United-States,<=50K -53,State-gov,104501,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -45,Private,112929,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,35,United-States,<=50K -33,Private,132832,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -33,State-gov,357691,Masters,14,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K -35,Private,114605,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,25,United-States,<=50K -60,Self-emp-not-inc,525878,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K -21,Private,68358,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -38,Private,174571,10th,6,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,45,United-States,<=50K -40,Private,42703,Assoc-voc,11,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Private,220589,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -44,Self-emp-not-inc,197558,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,>50K -27,Private,423250,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -34,Self-emp-not-inc,29254,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -20,?,308924,Some-college,10,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -49,Local-gov,276247,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,213841,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -52,Private,181677,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,>50K -46,Private,160061,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -20,Private,285295,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Female,0,0,40,?,<=50K -43,Private,265266,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Local-gov,222115,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,99999,0,40,United-States,>50K -25,State-gov,194954,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,<=50K -48,Private,156926,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Local-gov,217414,Some-college,10,Divorced,Protective-serv,Unmarried,White,Male,0,0,55,United-States,<=50K -37,Private,538443,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,14344,0,40,United-States,>50K -18,?,192399,Some-college,10,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K -42,Private,383493,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -60,Private,193235,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,24,United-States,<=50K -37,Self-emp-inc,99452,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K -44,Local-gov,254134,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K -32,Private,90446,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,116613,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Portugal,<=50K -42,Local-gov,238188,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -17,Private,95909,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K -41,Private,82319,12th,8,Married-civ-spouse,Other-service,Wife,White,Female,0,0,10,United-States,<=50K -34,Private,182274,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1887,40,United-States,>50K -56,Private,179625,10th,6,Separated,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -28,Private,119793,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,254989,11th,7,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,104830,7th-8th,4,Never-married,Transport-moving,Unmarried,White,Male,0,0,25,Guatemala,<=50K -49,Federal-gov,110373,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -36,Self-emp-not-inc,135416,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,50,United-States,<=50K -25,Private,298225,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K -42,Private,166740,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,213668,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -26,Private,276624,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,226789,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,58,United-States,<=50K -37,Private,31023,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -39,Local-gov,116666,HS-grad,9,Never-married,Protective-serv,Own-child,Amer-Indian-Eskimo,Male,4650,0,48,United-States,<=50K -42,Private,136986,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -41,Private,179580,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,36,United-States,>50K -23,Private,103277,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -31,Federal-gov,351141,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -36,Local-gov,191161,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,57,United-States,>50K -20,Private,148709,Some-college,10,Never-married,Prof-specialty,Unmarried,White,Female,0,0,25,United-States,<=50K -36,Private,128382,Some-college,10,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,45,United-States,<=50K -50,Private,144361,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -37,Private,172538,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,102476,Bachelors,13,Never-married,Farming-fishing,Own-child,White,Male,27828,0,50,United-States,>50K -39,Private,46028,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,60,United-States,<=50K -32,Private,198452,HS-grad,9,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,40,United-States,<=50K -59,Private,193895,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -29,Private,233421,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,3411,0,45,United-States,<=50K -50,Private,378747,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -42,Private,31251,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,37,United-States,<=50K -32,Private,71540,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,194772,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -20,Private,34568,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3781,0,35,United-States,<=50K -50,Self-emp-not-inc,36480,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -18,Private,116528,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -60,Private,52152,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -60,Private,216690,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K -42,Local-gov,227065,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,22,United-States,<=50K -49,Private,84013,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -35,Self-emp-inc,82051,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -30,Self-emp-not-inc,176185,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,Iran,<=50K -59,Private,115414,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -24,Self-emp-inc,493034,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,13550,0,50,United-States,>50K -55,Private,354923,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,393712,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -39,Private,98941,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,141483,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,172479,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -21,Private,226145,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -23,Private,394612,Bachelors,13,Never-married,Tech-support,Own-child,Black,Male,0,0,40,United-States,<=50K -22,Private,231085,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -55,Self-emp-not-inc,183810,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -19,Private,186159,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,162282,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,25,United-States,<=50K -46,Private,219021,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,44,United-States,>50K -23,Private,273206,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,23,United-States,<=50K -47,Self-emp-inc,332355,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -23,Private,102729,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -42,Private,198096,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -22,State-gov,292933,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -18,Private,135924,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -37,Private,99146,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -34,Private,27409,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,299507,Assoc-acdm,12,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -62,Self-emp-not-inc,102631,Some-college,10,Widowed,Farming-fishing,Unmarried,White,Female,0,0,50,United-States,<=50K -51,Private,153486,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,434292,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,30,United-States,<=50K -28,Self-emp-not-inc,240172,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -56,Private,219426,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,295791,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,30,United-States,<=50K -46,Private,114032,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,1887,45,United-States,>50K -23,Local-gov,496382,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,40,Guatemala,<=50K -33,Private,376483,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,30,United-States,<=50K -27,Private,107218,HS-grad,9,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -21,Private,246207,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K -18,?,80564,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K -36,Private,83089,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,Mexico,>50K -37,Local-gov,328301,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K -39,Local-gov,301614,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,199739,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,60,United-States,>50K -24,Private,180060,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,2354,0,40,United-States,<=50K -26,Private,121040,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K -37,Private,125550,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -34,Private,170772,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,180551,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Self-emp-not-inc,48189,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,30,United-States,<=50K -20,Private,432154,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,8,Mexico,<=50K -26,Private,263200,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -47,Private,123207,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K -17,Private,110798,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -53,Private,238481,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,40,United-States,<=50K -31,Private,185528,Some-college,10,Divorced,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -34,Private,181311,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,528616,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -39,Private,272950,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -22,?,195532,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -21,Private,197583,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -40,Private,48612,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K -54,Local-gov,31533,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K -32,Federal-gov,148138,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,2002,40,Iran,<=50K -29,Local-gov,30069,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,2635,0,40,United-States,<=50K -68,?,170182,Some-college,10,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -27,Local-gov,230885,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K -54,Private,174102,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -23,Private,352606,HS-grad,9,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,241153,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -54,Private,155433,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K -21,Private,109414,Some-college,10,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,1974,40,United-States,<=50K -40,Private,125461,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,42,United-States,<=50K -19,Private,331556,10th,6,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,?,138575,HS-grad,9,Never-married,?,Other-relative,White,Male,0,0,60,United-States,<=50K -35,Private,223514,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -39,Private,115418,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,2174,0,45,United-States,<=50K -38,Private,193026,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,1408,40,?,<=50K -41,Private,147206,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -26,Private,174592,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,268620,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K -70,Self-emp-not-inc,150886,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K -45,Private,112362,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -83,Private,195507,HS-grad,9,Widowed,Protective-serv,Not-in-family,White,Male,0,0,55,United-States,<=50K -59,Private,192983,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,120544,9th,5,Never-married,Other-service,Own-child,Black,Male,0,0,15,United-States,<=50K -31,Private,59083,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,208277,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -24,Local-gov,184678,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,278736,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -48,Local-gov,39464,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,52,United-States,<=50K -27,Private,162343,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Dominican-Republic,<=50K -41,Private,204046,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,255647,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,Mexico,<=50K -53,Private,123011,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,>50K -66,Self-emp-not-inc,291362,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -31,Private,159187,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -30,State-gov,126414,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,227626,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Self-emp-inc,173783,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K -74,Private,211075,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -37,Private,176756,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,1485,70,United-States,>50K -35,Self-emp-not-inc,31095,Some-college,10,Separated,Farming-fishing,Not-in-family,White,Male,4101,0,60,United-States,<=50K -51,Self-emp-not-inc,32372,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,70,United-States,<=50K -40,Private,331651,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Local-gov,146325,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -26,Private,515025,10th,6,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,United-States,<=50K -53,Private,394474,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -32,Private,400535,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3781,0,40,United-States,<=50K -29,Self-emp-not-inc,337505,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K -42,Private,211860,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,102684,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,32,United-States,<=50K -62,?,225657,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K -33,Private,121966,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,396790,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,20,United-States,<=50K -46,Local-gov,149949,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -25,Private,252187,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,209934,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -29,Federal-gov,229300,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,<=50K -33,Private,170769,Doctorate,16,Divorced,Sales,Not-in-family,White,Male,99999,0,60,United-States,>50K -50,Private,200618,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,216984,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -40,Private,212760,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,150309,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,45,United-States,<=50K -54,Private,174655,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,109621,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,225124,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -46,Private,172695,11th,7,Widowed,Other-service,Not-in-family,White,Female,0,0,27,El-Salvador,<=50K -71,Self-emp-not-inc,238479,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,8,United-States,<=50K -27,Private,37754,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -56,Private,85018,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -64,Private,256466,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,60,Philippines,>50K -23,Private,169188,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,<=50K -36,Private,210945,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -39,Local-gov,287031,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -26,Private,224361,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Federal-gov,108464,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,75826,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,120277,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -25,Private,104439,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -27,Private,56870,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,200819,12th,8,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Self-emp-not-inc,170562,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,20,United-States,<=50K -30,Private,80933,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,33088,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Local-gov,112763,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,7430,0,36,United-States,>50K -29,Private,177651,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -31,Private,261943,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,169785,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,Italy,<=50K -20,Private,141481,11th,7,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,50,United-States,<=50K -37,Private,433491,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -28,Local-gov,86615,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,30,United-States,<=50K -39,Private,125550,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -46,State-gov,421223,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,26999,Bachelors,13,Separated,Exec-managerial,Unmarried,White,Female,0,0,42,United-States,<=50K -36,Self-emp-not-inc,241998,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,99999,0,20,United-States,>50K -34,?,133861,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K -44,Private,115323,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -34,Self-emp-inc,23778,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -28,Self-emp-not-inc,190836,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -38,Self-emp-inc,159179,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -64,?,205479,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K -19,?,47713,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,163237,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K -61,Private,202202,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,168837,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,112271,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,52537,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Male,0,0,30,United-States,<=50K -27,Private,38353,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -22,Private,141698,10th,6,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -26,Private,28856,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,175652,11th,7,Never-married,Other-service,Other-relative,White,Female,0,0,15,United-States,<=50K -36,Private,213008,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,196501,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,14084,0,50,United-States,>50K -63,Private,118798,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K -51,Private,92463,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -20,State-gov,125165,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -42,Self-emp-not-inc,103980,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -40,?,180362,Bachelors,13,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,53903,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,179735,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K -41,?,277390,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,30,United-States,>50K -49,Private,122177,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,80,United-States,<=50K -46,Private,188161,HS-grad,9,Separated,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -32,Self-emp-not-inc,170108,HS-grad,9,Separated,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -28,Private,175262,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,Mexico,<=50K -19,?,204441,HS-grad,9,Never-married,?,Other-relative,Black,Male,0,0,20,United-States,<=50K -19,Private,164395,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -18,Private,115630,11th,7,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K -39,Private,178815,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K -60,Self-emp-not-inc,168223,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -46,Local-gov,202560,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,1408,40,United-States,<=50K -38,Private,100295,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,50,Canada,>50K -36,Private,172256,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,>50K -45,Private,51664,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -60,State-gov,358893,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,2339,40,United-States,<=50K -30,Private,115963,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,333910,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,43,United-States,<=50K -23,Private,148948,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -48,State-gov,130561,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,24,United-States,<=50K -46,Private,428350,HS-grad,9,Married-civ-spouse,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -43,Private,188808,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -25,Private,112847,HS-grad,9,Married-civ-spouse,Transport-moving,Own-child,Other,Male,0,0,40,United-States,<=50K -50,Private,110748,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,Self-emp-inc,156653,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K -35,Private,196491,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -65,Local-gov,254413,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Private,91262,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,45,United-States,<=50K -43,Self-emp-not-inc,154785,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,80,Thailand,<=50K -55,Private,84231,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -22,Private,226327,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,248406,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,32,United-States,<=50K -35,Private,54317,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1672,50,United-States,<=50K -22,?,32732,Some-college,10,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K -20,Private,95918,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -46,Local-gov,375675,12th,8,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,>50K -43,Private,244172,HS-grad,9,Separated,Transport-moving,Unmarried,White,Male,0,0,40,Mexico,<=50K -46,Federal-gov,233555,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,?,<=50K -39,Private,326342,11th,7,Married-civ-spouse,Other-service,Husband,Black,Male,2635,0,37,United-States,<=50K -34,Private,77271,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,20,England,<=50K -35,Private,33397,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -30,Private,446358,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,41,United-States,<=50K -25,Private,151810,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,28,United-States,<=50K -44,Private,125461,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -35,Private,133906,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,155106,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -43,Federal-gov,203637,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K -32,Private,232766,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,305319,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,121023,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -29,Private,198997,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K -38,Private,167140,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,70,United-States,>50K -20,Private,38772,10th,6,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,50,United-States,<=50K -41,Private,253759,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -27,Private,130067,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,65,United-States,<=50K -37,Private,203828,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -62,State-gov,221558,Masters,14,Separated,Prof-specialty,Unmarried,White,Female,0,0,24,?,<=50K -31,Private,156464,10th,6,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,72333,Some-college,10,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -33,Local-gov,83671,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,50,United-States,<=50K -31,Private,339482,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,40,United-States,>50K -19,Private,91928,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,35,United-States,<=50K -44,Private,99203,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -31,Self-emp-inc,455995,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,>50K -62,Private,192515,HS-grad,9,Widowed,Farming-fishing,Unmarried,White,Female,0,0,40,United-States,<=50K -65,Self-emp-not-inc,111483,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2174,10,United-States,>50K -17,Private,221129,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,85413,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,>50K -31,Private,196125,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,265638,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -53,Private,177727,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -44,Private,205822,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -43,Private,112607,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -40,Federal-gov,177595,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1579,40,United-States,<=50K -18,Private,183315,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,10,United-States,<=50K -47,Private,116279,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,43,United-States,<=50K -38,Federal-gov,122493,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,4064,0,40,United-States,<=50K -37,Private,215419,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,United-States,<=50K -40,Private,310101,Some-college,10,Separated,Sales,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -57,Self-emp-inc,61885,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,60,United-States,>50K -43,Private,59107,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,4101,0,40,United-States,<=50K -32,Private,227214,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,40,Ecuador,<=50K -64,Private,239450,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,118847,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -40,Self-emp-not-inc,95226,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -17,?,659273,11th,7,Never-married,?,Own-child,Black,Female,0,0,40,Trinadad&Tobago,<=50K -23,Private,215395,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,170600,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -45,Self-emp-not-inc,91044,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,15,United-States,<=50K -27,Private,318639,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,60,Mexico,<=50K -23,Private,160398,Some-college,10,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -58,Self-emp-not-inc,216824,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K -35,Private,308945,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,75,United-States,<=50K -47,Private,30840,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -33,Private,99309,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,188576,Bachelors,13,Separated,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -46,Private,83064,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -24,Private,403865,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,<=50K -40,Private,235786,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K -44,Private,191893,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -31,Local-gov,149184,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,97,United-States,>50K -37,Private,152909,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,40,United-States,>50K -23,Private,435604,Assoc-voc,11,Separated,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -30,Self-emp-inc,109282,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K -31,Private,248178,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,35,United-States,<=50K -24,?,112683,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,32,United-States,<=50K -32,Private,209103,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3464,0,40,United-States,<=50K -27,Private,183639,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -35,Local-gov,107233,HS-grad,9,Never-married,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Male,0,0,55,United-States,<=50K -27,Private,175387,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1876,40,United-States,<=50K -30,Self-emp-not-inc,178255,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,?,<=50K -33,Self-emp-not-inc,38223,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,70,United-States,<=50K -34,Private,228873,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -29,Private,202182,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -26,Local-gov,425092,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,2174,0,40,United-States,<=50K -39,Self-emp-not-inc,152587,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -37,Self-emp-inc,39089,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,50,United-States,>50K -51,Private,204304,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -40,Private,116103,Some-college,10,Separated,Craft-repair,Unmarried,White,Male,4934,0,47,United-States,>50K -53,Private,290640,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -58,Federal-gov,81973,Some-college,10,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,1485,40,United-States,>50K -29,Private,134890,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -33,Private,452924,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Mexico,<=50K -57,Private,245193,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -69,State-gov,34339,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,184756,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K -56,Private,392160,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,25,Mexico,<=50K -49,Private,168337,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,309513,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -70,Private,77219,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,37,United-States,<=50K -44,Private,212888,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -37,Private,361888,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,10520,0,40,United-States,>50K -58,Local-gov,237879,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,58,United-States,<=50K -42,Self-emp-not-inc,93099,Some-college,10,Married-civ-spouse,Prof-specialty,Own-child,White,Female,0,0,25,United-States,<=50K -41,Private,225193,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,50814,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Local-gov,123681,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,60,United-States,>50K -24,Private,249351,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -58,Self-emp-not-inc,222311,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,7688,0,55,United-States,>50K -18,Private,301762,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -50,Private,195298,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -69,Private,541737,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,2050,0,24,United-States,<=50K -84,Private,241065,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,66,United-States,<=50K -47,Private,129513,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -19,Private,374262,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -24,Private,382146,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -48,?,185291,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K -53,Private,30447,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -58,Private,49893,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -22,Private,197387,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,24,Mexico,<=50K -36,Self-emp-not-inc,111957,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,United-States,<=50K -34,Private,340458,12th,8,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,185670,1st-4th,2,Widowed,Prof-specialty,Unmarried,White,Female,0,0,21,Mexico,<=50K -37,Private,210945,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,24,United-States,<=50K -43,Private,350661,Prof-school,15,Separated,Tech-support,Not-in-family,White,Male,0,0,50,Columbia,>50K -42,Private,190543,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -21,Private,70261,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -49,Self-emp-not-inc,179048,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,Greece,<=50K -35,Private,242094,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,117634,Some-college,10,Widowed,Craft-repair,Unmarried,White,Female,0,0,30,United-States,<=50K -28,Private,82531,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -51,Private,193374,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -30,?,186420,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,323605,7th-8th,4,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,>50K -56,Private,371064,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,39927,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,8,United-States,<=50K -22,Private,64292,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,37,United-States,<=50K -33,Private,198660,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,99999,0,56,United-States,>50K -54,?,196975,HS-grad,9,Divorced,?,Other-relative,White,Male,0,0,45,United-States,<=50K -22,Private,210165,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -68,Private,144137,Some-college,10,Divorced,Priv-house-serv,Other-relative,White,Female,0,0,30,United-States,<=50K -56,Local-gov,155657,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -23,?,72953,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -69,Self-emp-not-inc,107548,9th,5,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,163258,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,221324,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -18,Private,444822,11th,7,Never-married,Sales,Own-child,White,Female,0,0,8,Mexico,<=50K -17,Private,154398,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,16,Haiti,<=50K -31,Private,120672,11th,7,Divorced,Handlers-cleaners,Other-relative,Black,Male,0,1721,40,United-States,<=50K -50,Private,159650,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,>50K -62,Private,290754,10th,6,Widowed,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,49654,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,52,United-States,<=50K -20,Federal-gov,147352,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,227943,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -18,Private,423024,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -53,?,64322,7th-8th,4,Separated,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,445940,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -23,Private,230824,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,48882,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -47,Private,168195,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -53,Local-gov,188644,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -28,Private,136077,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,State-gov,119793,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,336513,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -58,Private,186991,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -25,?,218948,7th-8th,4,Never-married,?,Not-in-family,White,Female,0,0,32,Mexico,<=50K -26,Private,211435,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,280169,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,3456,0,8,United-States,<=50K -27,Private,109997,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,286789,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -25,Private,102460,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,287160,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -39,Private,198097,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -52,Private,119111,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,174461,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -26,Self-emp-not-inc,281678,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K -24,?,377725,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,151053,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -49,Local-gov,186539,Masters,14,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -20,?,149478,Some-college,10,Never-married,?,Other-relative,White,Female,0,0,25,United-States,<=50K -40,Private,198452,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,198863,Prof-school,15,Divorced,Exec-managerial,Not-in-family,White,Male,0,2559,60,United-States,>50K -33,Private,176711,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,165310,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Other-relative,White,Male,0,0,20,United-States,<=50K -37,Private,213008,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Japan,<=50K -21,State-gov,38251,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,20,United-States,<=50K -33,Private,125761,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,36,United-States,<=50K -28,Private,148645,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,273435,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1579,40,United-States,<=50K -43,Private,208613,Bachelors,13,Separated,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,192565,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,183885,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -47,Self-emp-not-inc,243631,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K -37,Private,191754,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -26,Private,261278,Some-college,10,Separated,Sales,Other-relative,Black,Male,0,0,30,United-States,<=50K -55,Private,127014,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K -40,Private,197919,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,217460,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -39,Private,86551,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -54,Self-emp-inc,98051,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,54,United-States,>50K -38,Private,215917,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -53,Self-emp-not-inc,192982,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,85,United-States,<=50K -27,Self-emp-not-inc,334132,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,78,United-States,<=50K -42,Private,136986,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -62,Private,116812,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,189123,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1485,58,United-States,<=50K -26,Private,89648,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -33,?,190027,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,20,United-States,<=50K -59,Private,99248,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,57600,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -25,Private,199224,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -58,Private,140363,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,36,United-States,<=50K -30,Private,308812,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -21,Private,275421,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K -61,Private,213321,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,157747,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,182314,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -70,Private,220589,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,12,United-States,<=50K -55,?,208640,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K -29,Self-emp-not-inc,189346,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,2202,0,50,United-States,<=50K -46,Private,124071,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,44,United-States,<=50K -35,Federal-gov,20469,Some-college,10,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -31,Private,154227,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,>50K -37,Private,105044,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K -43,Private,35910,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,43,United-States,>50K -23,Private,189203,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,116493,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,13550,0,44,United-States,>50K -42,Local-gov,19700,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -26,Private,48718,10th,6,Never-married,Adm-clerical,Not-in-family,White,Female,2907,0,40,United-States,<=50K -45,Private,106113,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -25,Private,256263,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -33,?,202498,7th-8th,4,Separated,?,Not-in-family,White,Male,0,0,40,Guatemala,<=50K -38,Private,120074,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -28,Private,122922,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -68,Self-emp-not-inc,116903,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2149,40,United-States,<=50K -42,Local-gov,222596,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -35,Private,107302,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,India,<=50K -36,Private,156400,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,53373,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -22,Private,58916,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -45,Local-gov,167159,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,>50K -24,Private,283806,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Private,140426,1st-4th,2,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,35,?,<=50K -36,Local-gov,61778,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -41,Private,33310,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Self-emp-not-inc,202560,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K -25,Self-emp-not-inc,60828,Some-college,10,Never-married,Farming-fishing,Own-child,White,Female,0,0,50,United-States,<=50K -53,State-gov,153486,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -28,Local-gov,167536,Assoc-acdm,12,Widowed,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -30,Local-gov,370990,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,198867,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Local-gov,174924,Some-college,10,Divorced,Protective-serv,Unmarried,White,Male,0,0,48,Germany,<=50K -30,Private,175856,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,<=50K -41,Private,169628,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,?,<=50K -29,?,125159,Some-college,10,Never-married,?,Not-in-family,Black,Male,0,0,36,?,<=50K -31,Private,220690,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,80,United-States,<=50K -36,Private,160035,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3908,0,55,United-States,<=50K -59,Self-emp-not-inc,116878,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Greece,<=50K -33,Self-emp-not-inc,134737,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -29,Private,81648,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1887,55,United-States,>50K -49,State-gov,122177,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -50,Federal-gov,69614,10th,6,Separated,Craft-repair,Not-in-family,White,Male,0,0,56,United-States,<=50K -33,Private,112115,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,45,United-States,>50K -28,Private,299422,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -81,?,162882,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -24,Private,112854,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,16,United-States,<=50K -32,Self-emp-not-inc,33417,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -47,Federal-gov,224559,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -44,?,468706,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K -24,Private,357028,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -37,Local-gov,51158,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,7298,0,36,United-States,>50K -51,Private,186303,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -52,Private,127749,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -22,Private,291386,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,138054,Assoc-acdm,12,Never-married,Other-service,Not-in-family,Other,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,174533,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,200835,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,108658,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -43,Private,180985,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -25,Private,34803,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K -59,Private,75867,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -29,Private,156819,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K -30,Private,61272,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Portugal,<=50K -24,Private,39827,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,Other,Female,0,0,40,Puerto-Rico,<=50K -38,Private,130007,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,80324,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -26,Private,322614,Preschool,1,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,1719,40,Mexico,<=50K -30,Private,140869,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -73,Local-gov,181902,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,10,Poland,>50K -30,Private,287908,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -33,Private,309630,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,28225,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,58,United-States,<=50K -40,?,428584,HS-grad,9,Married-civ-spouse,?,Wife,Black,Female,3464,0,20,United-States,<=50K -18,Private,39222,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,359131,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7298,0,8,?,>50K -22,Private,122272,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -50,Self-emp-inc,198400,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,<=50K -62,?,73091,7th-8th,4,Widowed,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K -39,Self-emp-inc,283338,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -22,Private,208946,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,348416,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Private,379046,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -29,Private,183887,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,127961,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -24,Private,211129,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -29,Local-gov,187649,HS-grad,9,Separated,Protective-serv,Other-relative,White,Female,0,0,40,United-States,<=50K -49,Federal-gov,94754,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -33,Private,231826,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -28,Private,142764,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,48,United-States,<=50K -22,Private,126822,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,60,United-States,<=50K -37,Private,188069,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,284395,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -49,Private,31267,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,161444,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Columbia,<=50K -25,Private,144483,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,133655,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,State-gov,112074,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -21,Private,249727,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,22,United-States,<=50K -18,Private,165754,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -30,Local-gov,172822,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,288433,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -40,Private,33331,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,168071,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,<=50K -45,Private,207277,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -29,Private,130620,Some-college,10,Married-spouse-absent,Sales,Own-child,Asian-Pac-Islander,Female,0,0,26,India,<=50K -40,Private,136244,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -43,Private,972354,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,48,United-States,<=50K -20,Private,245297,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -32,State-gov,71151,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,<=50K -19,Private,118352,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -21,Private,117210,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,120068,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,48343,11th,7,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -52,Private,84451,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K -51,?,76437,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,281704,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -54,Private,123011,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -50,Private,104729,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,White,Female,0,0,48,United-States,<=50K -29,Private,110134,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,Private,186067,10th,6,Never-married,Tech-support,Own-child,White,Male,0,0,10,United-States,<=50K -47,Private,214702,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,37,Puerto-Rico,<=50K -46,Private,384795,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,32,United-States,<=50K -30,Private,175931,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,44,United-States,<=50K -58,Private,366324,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K -48,Private,118717,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -23,Private,219835,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,Mexico,<=50K -23,Private,176486,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,36,United-States,<=50K -45,Private,273435,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,182661,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,20,United-States,<=50K -26,Private,212304,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,48,United-States,<=50K -50,Local-gov,133963,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,>50K -49,Private,165152,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K -26,Private,274724,Some-college,10,Never-married,Other-service,Other-relative,White,Male,0,0,40,Nicaragua,<=50K -47,Private,196707,Prof-school,15,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,213002,12th,8,Never-married,Sales,Not-in-family,White,Male,4650,0,50,United-States,<=50K -19,?,26620,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,361481,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -35,Private,148581,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K -46,Private,459189,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,50,United-States,>50K -28,Self-emp-not-inc,214689,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Private,289364,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,45,United-States,>50K -21,Private,174907,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -50,Self-emp-not-inc,348099,10th,6,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -30,?,104965,9th,5,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -31,Private,31600,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Self-emp-not-inc,286282,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K -35,Self-emp-not-inc,181705,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K -33,Private,238912,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -34,Private,134737,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,55,United-States,>50K -67,?,157403,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,6418,0,10,United-States,>50K -37,Private,197429,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,>50K -48,Private,47343,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -34,Federal-gov,67083,Bachelors,13,Never-married,Exec-managerial,Unmarried,Asian-Pac-Islander,Male,1471,0,40,Cambodia,<=50K -24,Private,249957,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -55,Private,175942,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,40,France,<=50K -50,Private,192982,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,1848,40,United-States,>50K -40,Private,209547,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,60,United-States,>50K -33,Private,142675,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -51,Federal-gov,190333,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,196396,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,166740,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -47,Local-gov,174533,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -27,Private,210867,7th-8th,4,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,?,<=50K -37,Private,118486,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,4934,0,32,United-States,>50K -40,Private,144067,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,106964,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,178136,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -38,Private,196554,Prof-school,15,Separated,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,>50K -40,Self-emp-not-inc,403550,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,498216,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,192755,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,20,United-States,>50K -20,?,53738,Some-college,10,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K -33,Private,156192,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -45,Private,189802,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -66,?,213149,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,1825,40,United-States,>50K -35,Self-emp-not-inc,179171,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,38,Germany,<=50K -32,Private,77634,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -23,Private,189830,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,50,United-States,<=50K -19,Private,127190,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -44,?,174147,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,138107,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,35,United-States,<=50K -44,Self-emp-inc,269733,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -41,State-gov,227734,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,3464,0,40,United-States,<=50K -19,Private,318822,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -48,Private,48885,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -45,Private,205424,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K -40,Private,173858,7th-8th,4,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,42,Cambodia,<=50K -34,Private,202450,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -20,Private,154779,Some-college,10,Never-married,Sales,Other-relative,Other,Female,0,0,40,United-States,<=50K -33,Private,180551,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,177522,HS-grad,9,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -23,Private,277328,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,32,Cuba,<=50K -34,Private,112584,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K -48,State-gov,85384,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -32,?,123971,11th,7,Divorced,?,Not-in-family,White,Female,0,0,49,United-States,<=50K -42,Private,69019,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -22,Private,112847,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -60,Self-emp-not-inc,52900,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K -42,Private,37937,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -45,Private,59380,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -47,Private,114770,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K -29,Private,216481,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -34,Private,176469,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K -34,Private,176831,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K -39,Federal-gov,410034,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,93662,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,24,United-States,<=50K -42,Self-emp-inc,144236,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -48,Private,240917,11th,7,Separated,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K -53,Private,608184,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1902,40,United-States,>50K -51,Private,243361,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -44,Self-emp-not-inc,35166,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,90,United-States,<=50K -46,Self-emp-inc,182655,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -51,Private,142717,Doctorate,16,Divorced,Craft-repair,Not-in-family,White,Female,4787,0,60,United-States,>50K -32,Private,272944,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,?,219233,HS-grad,9,Never-married,?,Own-child,Black,Male,0,1602,30,United-States,<=50K -24,Private,228686,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -33,Private,236818,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,26,United-States,<=50K -47,Self-emp-not-inc,117865,HS-grad,9,Married-AF-spouse,Craft-repair,Husband,White,Male,0,0,90,United-States,<=50K -64,Self-emp-not-inc,106538,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -62,Private,153891,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -52,Private,190909,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -39,Private,191002,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,Poland,<=50K -42,Private,89073,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K -38,Federal-gov,238342,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,42,United-States,>50K -55,Private,259532,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -29,?,189282,HS-grad,9,Married-civ-spouse,?,Not-in-family,White,Female,0,0,27,United-States,<=50K -42,Private,132481,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,24,United-States,<=50K -30,Private,205659,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,Thailand,>50K -32,Private,182323,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,?,216256,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,3464,0,30,United-States,<=50K -50,Federal-gov,166419,11th,7,Never-married,Sales,Not-in-family,Black,Female,3674,0,40,United-States,<=50K -27,Private,152246,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -47,Private,155659,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,155198,9th,5,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,35,United-States,<=50K -48,Self-emp-not-inc,100931,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,162945,7th-8th,4,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -31,Federal-gov,334346,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -26,Private,181597,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -61,Self-emp-not-inc,133969,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,63,South,<=50K -50,Private,210217,Bachelors,13,Divorced,Sales,Unmarried,Black,Male,0,0,40,United-States,<=50K -49,Private,169711,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Germany,>50K -57,?,300104,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,7298,0,84,United-States,>50K -19,Private,271521,HS-grad,9,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,24,United-States,<=50K -18,Private,51255,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -44,Self-emp-not-inc,26669,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,99,United-States,<=50K -54,Private,194580,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -35,State-gov,177974,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -27,State-gov,315640,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,20,China,<=50K -50,Self-emp-inc,136913,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -43,State-gov,230961,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,167062,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -47,Private,120131,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,243368,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,Mexico,<=50K -30,Private,171876,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -19,Private,136866,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K -40,Private,316820,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,1485,40,United-States,<=50K -55,Private,185459,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -67,?,81761,HS-grad,9,Divorced,?,Own-child,White,Male,0,0,20,United-States,<=50K -31,Private,43716,Assoc-voc,11,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,43,United-States,<=50K -30,Private,220939,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,?,148657,Preschool,1,Married-civ-spouse,?,Wife,White,Female,0,0,40,Mexico,<=50K -51,Federal-gov,40808,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,0,0,43,United-States,<=50K -34,Private,183473,HS-grad,9,Divorced,Transport-moving,Own-child,White,Female,0,0,40,United-States,<=50K -59,Private,108496,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -50,Private,204838,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K -29,Private,132686,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -17,State-gov,117906,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,304386,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -52,?,248113,Preschool,1,Married-spouse-absent,?,Other-relative,White,Male,0,0,40,Mexico,<=50K -39,Private,165215,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,18,United-States,>50K -18,?,215463,12th,8,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -32,Private,259719,Some-college,10,Divorced,Handlers-cleaners,Unmarried,Black,Male,0,0,40,Nicaragua,<=50K -25,?,35829,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,50,United-States,<=50K -34,Private,248795,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,45,United-States,<=50K -44,Self-emp-not-inc,124692,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -37,Local-gov,128054,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,179731,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,2415,65,United-States,>50K -32,Self-emp-inc,113543,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -23,Private,252153,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K -45,Federal-gov,45891,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Male,0,0,42,United-States,<=50K -30,Private,112263,11th,7,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,47791,12th,8,Divorced,Other-service,Not-in-family,White,Female,0,0,10,United-States,<=50K -41,Private,202980,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,4,Peru,<=50K -21,Private,34918,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -48,Private,91251,7th-8th,4,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,30,China,<=50K -31,Private,132996,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,45,United-States,>50K -34,Private,306215,Assoc-voc,11,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -25,Private,203570,HS-grad,9,Separated,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,355918,Bachelors,13,Separated,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -35,Self-emp-not-inc,198841,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -42,Private,282964,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Self-emp-not-inc,312197,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,75,Mexico,>50K -44,Private,98779,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,60,United-States,<=50K -32,Private,200246,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -25,Private,182771,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -23,Private,199908,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,172104,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Other,Male,0,0,40,India,>50K -53,Self-emp-not-inc,35295,Bachelors,13,Never-married,Sales,Unmarried,White,Male,0,0,60,United-States,>50K -27,Private,216858,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,52,United-States,<=50K -27,Private,332187,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,65,United-States,<=50K -57,Private,255109,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -17,Private,111332,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -59,Local-gov,238431,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -34,Private,131552,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,110239,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -31,State-gov,255830,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Black,Female,0,0,45,United-States,<=50K -18,?,175648,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,82998,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -19,Private,164320,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -20,Self-emp-not-inc,263498,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -52,Self-emp-not-inc,162381,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Local-gov,229651,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -27,Private,357348,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K -19,Private,269657,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -38,Local-gov,82880,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,15,United-States,<=50K -19,Private,389755,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K -34,Private,195136,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,40,United-States,>50K -41,Private,207685,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,?,<=50K -23,Private,222925,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Own-child,White,Female,2105,0,40,United-States,<=50K -24,?,196388,Assoc-acdm,12,Never-married,?,Not-in-family,White,Male,0,0,12,United-States,<=50K -24,Private,50341,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,214134,10th,6,Never-married,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Male,0,0,84,United-States,<=50K -45,Private,114032,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -45,Private,192053,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -48,Private,240231,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,>50K -42,Private,44402,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -35,Self-emp-not-inc,191503,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,163530,HS-grad,9,Divorced,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -51,Local-gov,136823,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,32,United-States,<=50K -59,Private,121912,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Local-gov,58624,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -27,Local-gov,74056,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Private,144259,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,4386,0,80,?,>50K -57,Private,182028,Assoc-acdm,12,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -40,Private,209040,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,206046,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,182494,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,185057,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,35,Scotland,<=50K -60,Private,147473,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -53,Local-gov,221722,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,14344,0,50,United-States,>50K -20,?,388811,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,221912,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,48189,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -29,State-gov,382272,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,48347,Bachelors,13,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,143046,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1564,38,United-States,>50K -63,Self-emp-inc,137940,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -28,Private,249571,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -79,Private,121318,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,20,United-States,<=50K -39,Private,224531,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -29,Private,185019,12th,8,Never-married,Other-service,Not-in-family,Other,Male,0,0,40,United-States,<=50K -60,Private,27886,7th-8th,4,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Private,94741,12th,8,Married-civ-spouse,Other-service,Wife,White,Female,0,0,24,United-States,<=50K -20,Private,107801,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,2205,18,United-States,<=50K -44,Private,191256,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,>50K -47,Private,256866,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K -59,Private,197148,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,24,United-States,>50K -37,Private,312271,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,<=50K -21,Private,118657,HS-grad,9,Separated,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -68,Private,224338,Assoc-voc,11,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,242488,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,5013,0,40,United-States,<=50K -23,?,234970,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K -23,Private,227915,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Female,0,0,33,United-States,<=50K -40,Local-gov,105717,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,1876,35,United-States,<=50K -45,Self-emp-not-inc,160962,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -34,?,353881,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,3103,0,60,United-States,>50K -22,Private,188950,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,201328,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -24,Private,218678,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,49,United-States,<=50K -23,Private,184255,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -39,Federal-gov,200968,Some-college,10,Married-civ-spouse,Adm-clerical,Other-relative,White,Male,0,0,45,United-States,>50K -26,Private,102264,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,300584,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -22,Private,208946,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K -36,Private,105021,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -20,Private,124751,Some-college,10,Never-married,Priv-house-serv,Own-child,White,Female,0,0,20,United-States,<=50K -18,Private,274057,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,8,United-States,<=50K -38,Private,132879,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -43,Self-emp-inc,260960,Bachelors,13,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,35,United-States,<=50K -56,Private,208415,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,40,?,<=50K -42,Private,356934,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -35,Private,154410,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -31,Private,35378,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -73,Private,301210,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1735,20,United-States,<=50K -32,Private,73621,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,42,United-States,<=50K -37,Private,108140,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -66,Private,217198,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,10,United-States,<=50K -22,Private,157332,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -51,Private,202956,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,173495,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -65,Private,149811,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,2206,59,Canada,<=50K -39,Private,444219,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,Black,Female,0,0,45,United-States,<=50K -48,Private,125120,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,37,United-States,<=50K -20,Private,190429,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,?,190303,Assoc-acdm,12,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K -48,Private,248164,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,4386,0,50,United-States,>50K -29,Federal-gov,208534,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,<=50K -36,Self-emp-not-inc,343721,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,?,>50K -35,Self-emp-inc,196373,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -31,Private,433788,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -48,State-gov,122086,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,137314,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -40,Self-emp-not-inc,33068,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -57,Private,210688,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,United-States,<=50K -26,Local-gov,117833,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,4865,0,35,United-States,<=50K -37,State-gov,103474,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -65,Private,115880,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -26,Self-emp-not-inc,233933,10th,6,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K -42,Private,52781,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,586657,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Japan,>50K -62,Private,113080,7th-8th,4,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,251905,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Male,0,0,50,United-States,<=50K -76,Self-emp-not-inc,225964,Some-college,10,Widowed,Sales,Not-in-family,White,Male,0,0,8,United-States,<=50K -20,?,194096,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,263831,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,133136,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -32,Private,121634,10th,6,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Mexico,<=50K -22,Self-emp-inc,40767,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Federal-gov,355789,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,50,United-States,<=50K -43,Local-gov,311914,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,91189,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -44,Federal-gov,344060,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -41,Private,113823,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,State-gov,185800,Masters,14,Divorced,Prof-specialty,Unmarried,Black,Female,7430,0,40,United-States,>50K -30,Private,76107,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,>50K -23,Private,117618,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -39,Private,238008,HS-grad,9,Widowed,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -32,Private,136480,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -50,Private,285200,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,35,United-States,>50K -19,Private,351040,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Puerto-Rico,<=50K -35,Private,1226583,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K -23,Private,195767,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,187540,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,79372,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,226665,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,42,United-States,>50K -52,Private,213209,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -49,Private,211005,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,60,United-States,<=50K -24,Private,96178,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,328216,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -39,Private,110713,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -45,Self-emp-not-inc,225456,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -62,Local-gov,159908,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1258,38,United-States,<=50K -43,Private,118308,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -45,Private,180309,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -62,Self-emp-not-inc,39630,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,273828,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K -56,Private,172071,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,Jamaica,<=50K -28,Private,218887,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Female,0,0,35,United-States,<=50K -23,Private,664670,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -43,Private,209149,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -26,Private,84619,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -36,Private,447346,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -55,Local-gov,37869,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -48,State-gov,99086,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -43,Private,143582,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,2129,72,?,<=50K -38,Private,326886,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -18,Private,181755,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -56,Self-emp-not-inc,249368,HS-grad,9,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,<=50K -39,Self-emp-not-inc,326400,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,504725,5th-6th,3,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,50,Mexico,<=50K -36,Private,88967,11th,7,Never-married,Transport-moving,Unmarried,Amer-Indian-Eskimo,Male,0,0,65,United-States,<=50K -42,Self-emp-not-inc,170721,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2002,40,United-States,<=50K -50,Private,148953,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -17,Private,342752,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -57,Private,220871,7th-8th,4,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -73,Private,29675,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,0,0,12,United-States,<=50K -50,Federal-gov,183611,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,115215,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,45,United-States,<=50K -27,Private,152231,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -24,?,41356,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,225142,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -23,Self-emp-not-inc,121313,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,134821,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -51,Private,311350,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -26,Private,102106,10th,6,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -47,Private,427055,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,Mexico,<=50K -40,Private,117860,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -58,Private,285885,9th,5,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,212800,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,194864,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,18,United-States,<=50K -36,Private,31438,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,43,United-States,<=50K -46,Private,148254,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -69,Private,113035,1st-4th,2,Widowed,Priv-house-serv,Not-in-family,Black,Female,0,0,4,United-States,<=50K -69,Private,106595,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,1848,0,40,United-States,<=50K -28,Private,144521,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -20,Private,172232,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,48,United-States,<=50K -54,State-gov,123592,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,3887,0,35,United-States,<=50K -25,Private,191921,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -64,Local-gov,237379,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3471,0,40,United-States,<=50K -17,Private,208463,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -53,Federal-gov,68985,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,22418,9th,5,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -57,Private,163047,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,38,United-States,<=50K -51,Private,153870,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2603,40,United-States,<=50K -20,?,124954,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -47,Private,197702,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,166415,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,52,United-States,<=50K -50,State-gov,116211,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,United-States,>50K -20,Private,33644,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -43,State-gov,33331,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,70,United-States,>50K -46,Private,73019,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,169182,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,Puerto-Rico,<=50K -53,Private,20438,Some-college,10,Separated,Exec-managerial,Unmarried,Amer-Indian-Eskimo,Female,0,0,15,United-States,<=50K -21,Private,109869,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K -58,Private,316849,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,208043,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -61,Private,153790,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -56,State-gov,153451,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -59,Private,96840,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -72,Private,192732,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,20,United-States,<=50K -33,Private,209101,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,146919,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -46,Local-gov,192323,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,>50K -48,Private,217019,HS-grad,9,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,28,United-States,<=50K -33,Private,198211,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,222490,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,106758,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -31,Private,561334,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,203710,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Local-gov,203322,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -51,Private,123703,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,40,United-States,>50K -46,State-gov,312015,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -25,Private,209428,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,El-Salvador,<=50K -61,Private,230292,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,40,United-States,>50K -17,Private,114420,11th,7,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -26,Private,120238,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K -35,Private,100375,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -33,Self-emp-not-inc,42485,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -37,Private,130620,12th,8,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,0,33,?,<=50K -39,Local-gov,134367,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -42,Private,147099,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -35,Private,36214,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,47,United-States,>50K -45,Private,119904,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,50,United-States,>50K -47,Self-emp-inc,105779,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,>50K -64,Private,165020,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -39,Private,187098,Prof-school,15,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,47,United-States,>50K -43,?,142030,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,241360,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K -62,Private,121319,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K -53,Private,151580,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -31,Private,162572,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,35917,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -56,Self-emp-inc,35723,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -43,Private,194773,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,62155,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,35,United-States,<=50K -45,Self-emp-not-inc,192203,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,40,United-States,>50K -46,Private,174370,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K -26,Private,161007,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,80,United-States,<=50K -24,Private,270517,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,Mexico,<=50K -43,Private,163847,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -40,Private,193882,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -61,Private,160037,7th-8th,4,Divorced,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -34,Federal-gov,189944,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,72,United-States,<=50K -85,Private,115364,HS-grad,9,Widowed,Sales,Unmarried,White,Male,0,0,35,United-States,<=50K -41,Private,163174,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,State-gov,188900,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,3325,0,35,United-States,<=50K -22,Private,214399,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -60,Private,156616,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -29,Private,204862,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K -34,?,55921,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -35,State-gov,172475,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,2977,0,45,United-States,<=50K -24,Private,153082,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -45,Local-gov,195418,Masters,14,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -21,Local-gov,276840,12th,8,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K -30,Private,97933,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Wife,White,Female,0,1485,37,United-States,>50K -50,Self-emp-inc,119099,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,99,United-States,>50K -41,Self-emp-not-inc,83411,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -21,Private,198992,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,33,United-States,<=50K -45,Private,337825,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -34,Private,192002,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,189346,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,231962,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -26,Private,164488,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,13550,0,50,United-States,>50K -48,Private,200471,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -69,Private,228921,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Male,0,2282,40,United-States,>50K -41,Private,184846,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,233851,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,499001,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,Mexico,<=50K -65,Local-gov,125768,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,28,United-States,<=50K -31,Private,255004,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1741,38,United-States,<=50K -28,Private,157624,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,146767,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -45,Private,118291,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,80,United-States,<=50K -43,Private,313181,HS-grad,9,Divorced,Adm-clerical,Other-relative,Black,Male,0,0,38,United-States,<=50K -31,Private,87891,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -31,Private,226443,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -45,Private,81132,Some-college,10,Married-civ-spouse,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -20,Private,216436,Bachelors,13,Never-married,Sales,Other-relative,Black,Female,0,0,30,United-States,<=50K -25,Private,213412,Bachelors,13,Never-married,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K -36,Private,179358,HS-grad,9,Widowed,Handlers-cleaners,Unmarried,White,Female,0,0,30,United-States,<=50K -31,Private,369825,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,4101,0,50,United-States,<=50K -56,Private,199763,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -26,Private,239390,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,18,United-States,<=50K -47,Self-emp-not-inc,173613,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,65,United-States,<=50K -40,Self-emp-inc,37869,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,302845,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,48,United-States,<=50K -34,State-gov,85218,Masters,14,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,24,United-States,<=50K -37,Private,48268,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -38,Private,173968,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -19,Private,70982,Assoc-voc,11,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,16,United-States,<=50K -49,Private,166857,9th,5,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,?,256191,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,25,United-States,<=50K -26,Private,162872,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -82,Private,152148,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,2,United-States,<=50K -40,Private,139193,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,791084,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -23,Private,137214,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,37,United-States,<=50K -19,Private,183258,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -67,Private,154035,HS-grad,9,Widowed,Handlers-cleaners,Other-relative,Black,Male,0,0,32,United-States,<=50K -43,Private,115323,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,40,United-States,>50K -41,Private,213055,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Other,Female,0,0,50,United-States,<=50K -37,Private,155064,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,33551,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,169995,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -47,Private,168262,Masters,14,Separated,Exec-managerial,Not-in-family,White,Male,99999,0,50,United-States,>50K -40,Private,104196,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -39,State-gov,114055,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,274398,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K -78,?,27979,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2228,0,32,United-States,<=50K -67,?,244122,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,1,United-States,<=50K -49,Private,196571,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -66,Private,101607,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,10,United-States,<=50K -52,Private,122109,HS-grad,9,Never-married,Prof-specialty,Unmarried,White,Female,0,323,40,United-States,<=50K -59,Self-emp-inc,255822,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -72,Private,195184,HS-grad,9,Widowed,Priv-house-serv,Unmarried,White,Female,0,0,12,Cuba,<=50K -35,Federal-gov,245372,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,169583,Bachelors,13,Married-AF-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -36,Private,224531,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,186151,HS-grad,9,Separated,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,118693,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -39,Private,297449,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -40,Self-emp-not-inc,125206,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,393264,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,108140,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -63,Private,264968,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Self-emp-not-inc,318106,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -30,Private,156025,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -38,State-gov,149455,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -25,Private,359985,5th-6th,3,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,33,Mexico,<=50K -44,State-gov,165108,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -43,Private,115178,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -21,Private,149224,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K -41,Local-gov,352056,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,174717,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -75,?,173064,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K -29,Private,147755,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,40,United-States,<=50K -52,Self-emp-not-inc,135716,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -47,Private,44216,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -28,Private,37359,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -24,Private,178255,Some-college,10,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,40,?,<=50K -30,State-gov,70617,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,10,China,<=50K -30,Private,154950,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -40,Private,356934,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -27,Private,271714,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -26,Private,247025,HS-grad,9,Never-married,Protective-serv,Unmarried,White,Male,0,0,44,United-States,<=50K -32,Private,107417,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,37,United-States,<=50K -36,State-gov,116554,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,917220,12th,8,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -25,Private,430084,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -39,Private,202937,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,Poland,<=50K -27,Private,62737,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,508548,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -38,Self-emp-inc,275223,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -35,Self-emp-not-inc,381931,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K -29,Private,246974,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,105431,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -36,Private,146311,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,159869,Doctorate,16,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,204641,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,66297,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K -38,Private,227615,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -66,?,107744,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,360393,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -19,Private,263340,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -18,Private,141918,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,22,United-States,<=50K -37,Private,294292,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,128736,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Local-gov,511289,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,>50K -27,Private,302406,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -34,Local-gov,101517,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -54,State-gov,161334,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,China,<=50K -24,Self-emp-inc,189148,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,103111,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -48,Self-emp-not-inc,51620,Bachelors,13,Separated,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -23,Private,31606,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,34292,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,38,United-States,<=50K -21,Private,107882,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,9,United-States,<=50K -18,Private,39529,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K -18,Private,135315,9th,5,Never-married,Sales,Own-child,Other,Female,0,0,32,United-States,<=50K -29,Private,107812,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,229729,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,111891,HS-grad,9,Separated,Machine-op-inspct,Other-relative,Black,Female,0,0,40,United-States,<=50K -32,Private,340917,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,Private,202952,10th,6,Divorced,Other-service,Not-in-family,Black,Female,0,0,24,United-States,<=50K -79,Private,333230,HS-grad,9,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,6,United-States,<=50K -34,Private,114955,Assoc-acdm,12,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,159869,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -50,Self-emp-not-inc,57758,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -29,Private,207064,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,193090,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,3674,0,40,United-States,<=50K -64,Private,151364,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -70,Local-gov,88638,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,7896,0,50,United-States,>50K -28,Local-gov,304960,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,1980,40,United-States,<=50K -51,Private,102828,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Greece,<=50K -20,?,210029,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -34,State-gov,154246,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,4865,0,55,United-States,<=50K -29,Private,142519,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -49,Private,104455,Bachelors,13,Married-spouse-absent,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -77,Self-emp-inc,192230,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,292592,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -27,Private,330132,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -22,Private,51111,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Local-gov,258037,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Cuba,>50K -42,Local-gov,188291,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,40,United-States,>50K -35,State-gov,349066,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -62,?,191188,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,133503,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,2635,0,16,United-States,<=50K -45,Private,146497,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,<=50K -19,Private,240468,Some-college,10,Married-spouse-absent,Sales,Own-child,White,Female,0,1602,40,United-States,<=50K -38,Private,175120,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,416577,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,45,United-States,<=50K -29,Private,253814,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -33,Private,159247,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -35,Self-emp-not-inc,102471,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,80,Puerto-Rico,<=50K -42,Private,213464,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,211968,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -43,Federal-gov,32016,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -69,Private,512992,11th,7,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,45,United-States,<=50K -39,Private,135020,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,109133,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Portugal,<=50K -28,Private,142712,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Federal-gov,76900,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,112176,Some-college,10,Divorced,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -43,Federal-gov,262233,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -49,Private,122066,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,Hungary,<=50K -28,Private,194690,7th-8th,4,Separated,Other-service,Own-child,White,Male,0,0,60,Mexico,<=50K -35,Private,306678,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2885,0,40,United-States,<=50K -19,?,217769,Some-college,10,Never-married,?,Own-child,White,Female,594,0,10,United-States,<=50K -35,Local-gov,308945,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -57,Private,46699,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -45,Private,377757,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,220993,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,1590,48,United-States,<=50K -45,Private,102147,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,113770,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -35,Private,139012,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -45,Private,148900,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -28,Federal-gov,329426,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -64,Self-emp-inc,181408,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,10,United-States,<=50K -44,Local-gov,101950,Prof-school,15,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -59,Self-emp-not-inc,32537,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -41,Private,209547,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,202373,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,25,United-States,<=50K -29,Self-emp-not-inc,151476,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,2174,0,40,United-States,<=50K -51,Self-emp-not-inc,174824,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,8614,0,40,United-States,>50K -22,Private,138768,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -49,Private,143482,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -53,Private,200190,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,>50K -38,Private,168407,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,5721,0,44,United-States,<=50K -23,Private,148315,Some-college,10,Separated,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,270517,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,Mexico,<=50K -40,Private,53506,Bachelors,13,Divorced,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,105693,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,189589,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,164574,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -37,Private,185744,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,20,United-States,<=50K -40,Local-gov,33155,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,215955,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,40,United-States,>50K -38,Self-emp-not-inc,233571,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,211253,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Federal-gov,191385,Assoc-acdm,12,Divorced,Protective-serv,Not-in-family,White,Male,2174,0,40,United-States,<=50K -20,Private,137895,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -62,State-gov,159699,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K -31,Private,295922,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Self-emp-not-inc,175856,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -24,Private,216129,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -62,Local-gov,407669,7th-8th,4,Widowed,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K -43,Local-gov,214242,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -21,Private,285457,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,50,United-States,<=50K -30,Self-emp-inc,124420,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,4650,0,40,United-States,<=50K -22,?,246386,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -18,Private,142751,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Local-gov,283635,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Self-emp-not-inc,322931,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,40,United-States,>50K -49,Private,76482,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,State-gov,431745,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -48,Private,141944,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,40,United-States,>50K -32,Private,193042,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K -33,Private,67006,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,45,United-States,<=50K -23,Private,240398,Bachelors,13,Never-married,Sales,Not-in-family,Black,Male,0,0,15,United-States,<=50K -33,Federal-gov,182714,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,65,United-States,>50K -50,Federal-gov,172046,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -30,Private,185177,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,<=50K -32,Private,102858,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2002,42,United-States,<=50K -39,Private,84954,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,2829,0,65,United-States,<=50K -21,Private,115895,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -23,Private,184589,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,21,United-States,<=50K -32,Private,282611,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Private,218649,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -22,State-gov,157541,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,10,United-States,<=50K -70,Private,145419,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,5,United-States,<=50K -34,Private,122616,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,84,United-States,>50K -53,Private,204584,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,117210,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K -37,Private,69481,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Self-emp-not-inc,148492,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,50,United-States,>50K -23,Private,106957,11th,7,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,14344,0,40,Vietnam,>50K -32,Private,29312,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,>50K -57,Private,120302,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -65,?,111916,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,182227,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K -30,Private,219110,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K -31,Private,200192,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,Germany,<=50K -19,Private,427862,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -23,State-gov,33551,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,<=50K -44,Private,164043,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -43,?,116632,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,>50K -42,Private,175133,Some-college,10,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,Self-emp-not-inc,289731,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,256362,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -25,Private,282612,Assoc-voc,11,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -21,Private,73679,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -31,Private,237824,HS-grad,9,Married-spouse-absent,Priv-house-serv,Other-relative,Black,Female,0,0,60,Jamaica,<=50K -36,Local-gov,357720,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Self-emp-not-inc,155489,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,Poland,<=50K -44,Private,138077,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K -42,Private,183479,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -30,Private,103596,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,99,United-States,<=50K -33,Private,172304,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,313853,Bachelors,13,Divorced,Other-service,Unmarried,Black,Male,0,0,45,United-States,>50K -17,Private,294485,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -20,Private,637080,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K -32,Private,385959,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -33,Self-emp-not-inc,116539,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,129263,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,60,United-States,<=50K -60,Private,141253,10th,6,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,48,United-States,<=50K -35,State-gov,35626,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,15,United-States,<=50K -43,Federal-gov,94937,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Private,220269,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -29,Self-emp-not-inc,169544,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,40,United-States,>50K -36,Private,214604,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,42,United-States,>50K -27,Private,81540,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -50,Private,24013,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,84,United-States,>50K -22,Private,124940,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Amer-Indian-Eskimo,Female,0,0,44,United-States,<=50K -33,State-gov,313729,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -61,Private,192237,10th,6,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -28,?,168524,Assoc-voc,11,Married-civ-spouse,?,Own-child,White,Female,0,0,40,United-States,<=50K -41,Self-emp-not-inc,113324,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,>50K -22,Private,215477,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,199903,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,431861,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,105938,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,1602,20,United-States,<=50K -28,Private,274679,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -25,Private,177499,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,1590,35,United-States,<=50K -28,Private,206125,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Local-gov,221740,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,>50K -58,Private,202652,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K -39,Private,348960,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,171876,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -59,Private,157932,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -58,Private,201344,Bachelors,13,Divorced,Craft-repair,Own-child,White,Female,0,0,20,United-States,<=50K -38,Private,354739,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,36,Philippines,>50K -34,Private,40067,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,326862,Some-college,10,Divorced,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -48,Local-gov,189762,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -65,?,149049,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,226246,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -80,?,29020,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,10605,0,10,United-States,>50K -23,Private,38251,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -33,Private,196385,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,37,United-States,>50K -38,Self-emp-not-inc,217054,Some-college,10,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,104973,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -48,Local-gov,238959,Masters,14,Divorced,Exec-managerial,Unmarried,Black,Female,9562,0,40,United-States,>50K -40,State-gov,34218,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Local-gov,292962,HS-grad,9,Never-married,Craft-repair,Other-relative,Black,Female,0,0,40,United-States,<=50K -45,Private,235924,Bachelors,13,Divorced,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -34,Private,98656,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -70,Private,102610,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,80,United-States,<=50K -32,Local-gov,296466,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -33,Private,323069,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,184756,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Local-gov,233993,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K -22,Private,130724,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,25,United-States,<=50K -52,Self-emp-inc,181855,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Other,Male,99999,0,65,United-States,>50K -67,Self-emp-not-inc,127543,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,2414,0,80,United-States,<=50K -40,Private,187164,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,45,United-States,<=50K -55,Private,113912,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,<=50K -29,Private,216479,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,Private,135480,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,16,United-States,<=50K -22,Private,204160,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -64,State-gov,114650,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Self-emp-not-inc,240172,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Male,0,0,50,United-States,<=50K -28,Private,184831,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,124590,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,<=50K -47,State-gov,120429,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -26,Private,202033,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -18,Private,156874,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,27,United-States,<=50K -52,Self-emp-inc,177727,10th,6,Married-civ-spouse,Sales,Husband,White,Male,4064,0,45,United-States,<=50K -48,Local-gov,334409,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -36,Private,311255,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,Haiti,<=50K -23,Private,214227,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -41,Private,115849,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -56,State-gov,671292,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,United-States,>50K -53,Private,31460,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,141824,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,310152,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,3325,0,40,United-States,<=50K -25,Private,179953,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,2597,0,31,United-States,<=50K -31,Private,137952,Some-college,10,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,Puerto-Rico,<=50K -36,Private,103323,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2829,0,40,United-States,<=50K -46,Private,174426,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -46,State-gov,192779,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Male,0,2258,38,United-States,>50K -32,Private,169955,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,36,Puerto-Rico,<=50K -43,Self-emp-not-inc,48087,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K -30,Private,132601,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K -41,Self-emp-inc,253060,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,45,United-States,>50K -50,Private,108435,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,60,United-States,>50K -37,State-gov,210452,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,<=50K -22,Local-gov,134181,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,50,United-States,<=50K -51,Federal-gov,45487,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,<=50K -47,Private,183522,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,>50K -40,Private,199303,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,83064,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -23,?,134997,Some-college,10,Separated,?,Unmarried,White,Female,0,0,20,United-States,<=50K -30,Private,44419,Some-college,10,Never-married,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Self-emp-not-inc,442612,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K -31,Local-gov,158092,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -31,Private,374833,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -30,Private,112650,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -50,Local-gov,183390,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -27,Private,207418,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -22,?,335453,Some-college,10,Never-married,?,Own-child,White,Female,0,0,16,United-States,<=50K -29,Private,243660,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -28,Private,54243,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -54,Private,50385,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,45,United-States,>50K -47,State-gov,187581,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,>50K -34,Private,37380,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,247025,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,?,29231,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K -23,State-gov,101094,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,60,United-States,<=50K -42,Local-gov,176716,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,118429,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -52,Federal-gov,221532,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K -22,?,120572,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -27,Local-gov,124680,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,153160,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,114678,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,5455,0,40,United-States,<=50K -49,State-gov,142856,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -36,Private,29702,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -20,Private,277700,Preschool,1,Never-married,Other-service,Own-child,White,Male,0,0,32,United-States,<=50K -55,Self-emp-inc,67433,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -47,Private,121124,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,394447,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,33,United-States,>50K -36,Private,79649,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,203763,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Female,0,0,80,United-States,<=50K -55,Private,229029,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,48,United-States,>50K -21,?,494638,Assoc-acdm,12,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K -48,Private,162816,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -30,Private,109117,Assoc-voc,11,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K -24,Private,32732,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -57,Self-emp-not-inc,217692,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Female,0,0,38,United-States,<=50K -20,Private,34590,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K -18,?,276864,Some-college,10,Never-married,?,Own-child,White,Female,0,1602,20,United-States,<=50K -56,Private,168625,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,4101,0,40,United-States,<=50K -36,Private,91037,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -44,Private,171484,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -57,Private,200453,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,40,United-States,>50K -57,Private,36990,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,52,United-States,<=50K -33,Private,198211,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -61,?,30475,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -39,Private,70995,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,99,United-States,>50K -28,Private,245790,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,273324,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,1721,16,United-States,<=50K -60,Private,182687,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Local-gov,247807,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K -58,Private,163113,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,35,United-States,>50K -50,Private,180522,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,38,United-States,<=50K -23,Local-gov,203353,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,12,United-States,<=50K -30,Private,87469,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,?,216563,11th,7,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K -90,Private,87372,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,72,United-States,>50K -49,Local-gov,173584,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -47,Local-gov,80282,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3137,0,40,United-States,<=50K -34,Private,319854,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Taiwan,>50K -37,Federal-gov,408229,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,431307,10th,6,Married-civ-spouse,Protective-serv,Wife,Black,Female,0,0,50,United-States,<=50K -37,Private,134088,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,246396,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K -34,Private,159255,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -34,Private,106014,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,186934,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -39,Private,120130,Some-college,10,Separated,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -32,State-gov,203849,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,19,United-States,<=50K -24,Private,207940,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K -28,Private,302406,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -41,Self-emp-not-inc,144594,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2179,40,United-States,<=50K -69,?,171050,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,9,United-States,<=50K -32,Private,459007,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,90,United-States,<=50K -58,Private,372181,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,>50K -47,Self-emp-not-inc,172034,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,75,United-States,>50K -41,Private,156566,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,50,United-States,>50K -35,Self-emp-inc,338320,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -24,Private,353696,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,Canada,<=50K -46,Self-emp-not-inc,342907,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,>50K -69,Self-emp-inc,169717,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,6418,0,45,United-States,>50K -22,Private,103762,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -36,State-gov,47570,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,119432,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -23,Local-gov,144165,Bachelors,13,Never-married,Prof-specialty,Own-child,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K -35,Private,180647,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -37,Local-gov,312232,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,5178,0,40,United-States,>50K -35,State-gov,150488,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,200876,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,16,United-States,<=50K -43,Private,188199,9th,5,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -53,State-gov,118793,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -54,Local-gov,204325,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,<=50K -29,Private,256671,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -46,Private,231515,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,47,Cuba,<=50K -24,Private,100669,Some-college,10,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K -30,Private,88913,Some-college,10,Separated,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -23,Private,363219,Some-college,10,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,6,United-States,<=50K -27,?,291547,Bachelors,13,Married-civ-spouse,?,Not-in-family,Other,Female,0,0,6,Mexico,<=50K -36,Private,308945,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,100316,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -33,Private,296453,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,15,United-States,<=50K -66,Private,298834,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Canada,<=50K -45,Self-emp-not-inc,188694,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -68,?,29240,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,12,United-States,<=50K -37,Private,186934,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K -17,Private,154908,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -31,Private,22201,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K -46,Private,216999,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K -40,Private,186916,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,116677,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,95763,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -42,Private,266710,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,41,United-States,<=50K -46,Private,117849,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -30,Private,242460,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -33,Self-emp-not-inc,202729,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -47,Private,181652,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -57,Self-emp-not-inc,174760,Assoc-acdm,12,Married-spouse-absent,Farming-fishing,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -34,Private,56121,11th,7,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -40,Private,390369,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,149726,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -22,Private,51262,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,190350,12th,8,Never-married,Other-service,Unmarried,Black,Female,0,0,35,?,<=50K -53,Federal-gov,205288,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,35,United-States,>50K -36,Private,154835,HS-grad,9,Separated,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -45,Private,89028,HS-grad,9,Divorced,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,10520,0,40,United-States,>50K -36,Private,194630,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -18,Self-emp-not-inc,212207,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,11,United-States,<=50K -27,Private,204788,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,158688,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,97723,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -36,Private,193026,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -36,Self-emp-not-inc,257250,7th-8th,4,Never-married,Farming-fishing,Own-child,White,Male,0,0,75,United-States,<=50K -48,Private,355978,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,200574,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K -21,Private,376929,5th-6th,3,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,Mexico,<=50K -47,State-gov,123219,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -41,Private,82778,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -61,Self-emp-not-inc,115882,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -64,Private,103021,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,297767,Some-college,10,Separated,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -44,Private,259479,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,50,United-States,<=50K -20,Private,167787,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -23,Local-gov,40021,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,70,United-States,<=50K -52,Private,245275,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K -43,Private,37402,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,25,United-States,<=50K -32,Private,103608,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -63,Private,137192,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K -29,Private,137618,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,41,United-States,>50K -42,Self-emp-inc,96509,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,Taiwan,<=50K -65,Private,196174,10th,6,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,28,United-States,<=50K -24,Private,172612,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,141186,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,228190,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -40,Self-emp-inc,190290,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,?,>50K -38,Federal-gov,307404,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,152436,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -46,Self-emp-not-inc,182541,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1672,50,United-States,<=50K -39,Private,282153,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -29,?,41281,Bachelors,13,Married-spouse-absent,?,Not-in-family,White,Male,0,0,50,United-States,<=50K -42,Private,162003,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,36,United-States,>50K -36,Private,190759,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -26,Private,208122,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K -57,Private,173832,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -55,Private,129173,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -35,Private,287548,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -41,Private,216116,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,?,<=50K -24,Private,146706,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -47,Private,285200,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Self-emp-inc,314375,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -44,Private,203943,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,35,United-States,>50K -18,?,274746,HS-grad,9,Never-married,?,Unmarried,White,Female,0,0,20,United-States,<=50K -27,Private,517000,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,35,United-States,<=50K -36,Private,66173,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -21,Private,182823,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -29,Private,159479,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Other,Male,0,0,55,United-States,<=50K -25,Private,135568,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -73,Private,333676,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -45,Private,201699,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -28,Private,96020,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -43,Private,176138,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -47,Private,47496,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,<=50K -20,Private,187158,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -22,Private,249727,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K -76,Self-emp-not-inc,237624,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,10,United-States,<=50K -24,Private,175254,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,42924,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,205950,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -33,Private,111985,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,58,United-States,<=50K -30,Private,167476,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -40,Private,221172,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -27,?,188711,Some-college,10,Divorced,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -49,Private,199448,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,313038,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,148431,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Other,Female,0,0,40,United-States,<=50K -19,Private,112432,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,58,United-States,<=50K -46,Private,57914,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,145166,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -56,Private,247119,7th-8th,4,Widowed,Machine-op-inspct,Unmarried,Other,Female,0,0,40,Dominican-Republic,<=50K -53,Private,196278,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -60,?,366531,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,216481,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,188027,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -37,Private,66686,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -41,Private,74775,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,30,Vietnam,<=50K -65,?,325537,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K -30,Self-emp-not-inc,250499,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,55,United-States,>50K -57,Self-emp-not-inc,192869,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K -44,Self-emp-inc,121352,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -32,Self-emp-not-inc,70985,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,4064,0,40,United-States,<=50K -27,Self-emp-not-inc,123116,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -57,Local-gov,339163,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K -59,Self-emp-not-inc,124771,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -32,Private,167531,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,15024,0,50,United-States,>50K -90,?,77053,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,4356,40,United-States,<=50K -22,Private,199266,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K -39,Private,190728,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,99212,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,48,United-States,>50K -38,Local-gov,421446,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,>50K -61,Private,215944,9th,5,Divorced,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K -24,Private,72310,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,43,United-States,<=50K -25,Private,57512,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -44,Private,89413,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Local-gov,28151,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K -90,Private,46786,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,9386,0,15,United-States,>50K -30,Private,226943,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -44,Private,182402,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -36,Private,305352,10th,6,Divorced,Craft-repair,Other-relative,Black,Male,0,0,40,United-States,<=50K -63,Self-emp-inc,189253,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -60,Private,296485,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,204375,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,>50K -49,Self-emp-not-inc,249585,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K -47,Private,148995,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -42,Self-emp-inc,168071,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,43,United-States,>50K -53,Private,194995,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Italy,<=50K -23,Private,211049,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,4101,0,40,United-States,<=50K -28,?,196630,Assoc-voc,11,Separated,?,Unmarried,White,Female,0,0,40,Mexico,<=50K -20,Private,50397,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,35,United-States,<=50K -43,Private,177905,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3908,0,40,United-States,<=50K -32,Private,204374,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K -43,Private,60001,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,44,United-States,>50K -31,Private,223046,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -29,?,44921,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -24,Private,154571,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K -39,Private,67136,Assoc-voc,11,Separated,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -29,Private,188675,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Jamaica,>50K -20,Private,390817,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,25,Mexico,<=50K -23,?,145964,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,30424,11th,7,Separated,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K -53,Private,548361,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,189148,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,<=50K -58,Self-emp-not-inc,266707,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2179,18,United-States,<=50K -51,Self-emp-not-inc,311569,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,187653,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,48,United-States,<=50K -38,Private,235379,Assoc-acdm,12,Never-married,Prof-specialty,Unmarried,White,Female,0,0,36,United-States,<=50K -41,Private,188615,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -58,Private,322691,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -25,Private,184698,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Dominican-Republic,<=50K -50,Private,144361,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,130057,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -31,Self-emp-inc,117963,Doctorate,16,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,123876,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -37,Private,248445,HS-grad,9,Divorced,Handlers-cleaners,Other-relative,White,Male,0,0,40,El-Salvador,<=50K -32,Private,207172,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -46,State-gov,119904,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,1564,55,United-States,>50K -62,Private,134768,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -40,Local-gov,269168,HS-grad,9,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,?,<=50K -56,Private,132026,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,7688,0,45,United-States,>50K -37,Private,60722,Some-college,10,Divorced,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Japan,>50K -41,Private,648223,1st-4th,2,Married-spouse-absent,Farming-fishing,Unmarried,White,Male,0,0,40,Mexico,<=50K -56,Private,298695,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -20,Private,219835,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -34,Self-emp-not-inc,313729,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -45,Private,140644,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -30,Private,203488,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -51,Self-emp-not-inc,132341,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -27,Private,161683,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,<=50K -38,Private,312771,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -39,Private,258102,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -57,?,24127,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -47,Private,254367,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -77,?,185426,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -43,Private,152629,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -46,Local-gov,141058,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K -41,Private,233130,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -20,Private,406641,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -30,State-gov,119422,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,255486,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,25,United-States,<=50K -22,Private,161532,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -25,Private,75759,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,>50K -18,Private,163332,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,22,United-States,<=50K -28,Private,103802,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,1408,40,?,<=50K -50,Private,34832,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,15024,0,40,United-States,>50K -28,Private,37933,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,48,United-States,<=50K -21,Private,165107,Some-college,10,Never-married,Priv-house-serv,Own-child,White,Female,0,0,40,United-States,<=50K -37,Private,126011,Assoc-voc,11,Divorced,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -28,Federal-gov,56651,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -23,Private,522881,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,Mexico,<=50K -32,Private,191777,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,35,England,<=50K -27,Private,132686,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,50,United-States,<=50K -55,Private,201112,HS-grad,9,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -44,Private,174283,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -25,Private,208591,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,126399,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,32,United-States,<=50K -50,Private,142073,HS-grad,9,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -18,Private,395567,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -74,Private,180455,Bachelors,13,Widowed,Other-service,Not-in-family,White,Female,0,0,8,United-States,<=50K -22,Private,235853,9th,5,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,160731,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -27,State-gov,31935,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,80,United-States,<=50K -41,Private,35166,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -24,Private,161092,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K -23,Private,223019,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -34,Self-emp-not-inc,179673,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,60,United-States,>50K -46,State-gov,248895,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -32,Private,200323,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -41,Private,230020,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,<=50K -29,Private,134890,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -48,Private,162096,9th,5,Married-civ-spouse,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Female,0,0,45,China,<=50K -51,Private,103824,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,Haiti,<=50K -34,State-gov,61431,12th,8,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -58,Private,197319,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -52,Private,183618,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,268598,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Other,Male,7298,0,50,Puerto-Rico,>50K -53,Private,263729,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,39493,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K -36,Private,185360,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -25,Private,132661,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,60,United-States,<=50K -20,Private,266400,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,48,United-States,<=50K -23,Private,433669,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Self-emp-inc,216473,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -20,Self-emp-not-inc,217404,10th,6,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,227778,Assoc-voc,11,Never-married,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K -73,State-gov,96262,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -67,Private,247566,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,24,United-States,<=50K -56,Private,139616,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K -32,Private,73585,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,37869,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,1590,40,United-States,<=50K -33,Private,165814,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -37,Private,108913,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,34975,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -31,Private,157078,10th,6,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -59,Private,232672,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -21,Private,294295,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -58,Self-emp-inc,130454,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -24,Local-gov,461678,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,State-gov,252284,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,256737,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -33,Local-gov,96480,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,Germany,<=50K -25,Private,234263,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,109952,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,262570,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,65716,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -68,Private,201732,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -66,Self-emp-not-inc,174788,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -38,Private,278924,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,101593,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -71,?,193863,7th-8th,4,Widowed,?,Other-relative,White,Female,0,0,16,Poland,<=50K -37,Private,342768,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,242606,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,4386,0,45,United-States,>50K -27,State-gov,176727,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,99179,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,State-gov,354104,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K -25,Private,61956,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -47,Federal-gov,137917,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -40,Private,224658,Some-college,10,Married-civ-spouse,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -38,Private,51100,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,3325,0,40,United-States,<=50K -25,Private,224361,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,362912,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,50,United-States,<=50K -23,Private,218782,10th,6,Never-married,Handlers-cleaners,Other-relative,Other,Male,0,0,40,United-States,<=50K -28,Private,103389,Masters,14,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,308944,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,140092,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,202210,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -52,Private,416059,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -33,Self-emp-not-inc,281030,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,94,United-States,<=50K -19,Private,169758,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -68,Private,193666,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,55,United-States,>50K -41,Private,139907,10th,6,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,50,United-States,<=50K -18,Self-emp-inc,119422,HS-grad,9,Never-married,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,30,India,<=50K -29,Private,149324,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,40,United-States,>50K -40,Private,259307,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -51,Self-emp-not-inc,74160,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,0,0,60,United-States,>50K -49,Private,134797,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,State-gov,41103,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -38,Local-gov,193026,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -57,Private,303986,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Cuba,<=50K -35,Private,126569,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K -66,Private,166461,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,26,United-States,<=50K -27,?,61387,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -25,Private,254746,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -77,?,28678,Masters,14,Married-civ-spouse,?,Husband,White,Male,9386,0,6,United-States,>50K -19,?,180976,10th,6,Never-married,?,Unmarried,White,Female,0,0,35,United-States,<=50K -70,Private,282642,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,2174,40,United-States,>50K -59,Self-emp-not-inc,136413,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,United-States,<=50K -25,Private,131463,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -44,Local-gov,177240,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,10520,0,40,United-States,>50K -37,Private,218490,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,El-Salvador,>50K -75,?,260543,10th,6,Widowed,?,Other-relative,Asian-Pac-Islander,Female,0,0,1,China,<=50K -21,?,80680,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,20728,HS-grad,9,Never-married,Sales,Own-child,White,Female,4101,0,40,United-States,<=50K -47,Federal-gov,117628,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -20,Private,91939,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,1721,30,United-States,<=50K -32,State-gov,175931,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,309566,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -53,Private,123703,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,?,369678,HS-grad,9,Never-married,?,Not-in-family,Other,Male,0,0,30,United-States,<=50K -58,Private,29928,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,36,United-States,<=50K -22,Private,167868,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -23,Private,235894,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -21,Private,189888,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,3325,0,60,United-States,<=50K -36,Private,111545,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K -39,Private,175972,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,<=50K -34,Local-gov,254270,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Local-gov,185057,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -72,Private,157593,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,1455,0,6,United-States,<=50K -34,Private,101345,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K -51,Local-gov,176751,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -32,Self-emp-not-inc,97723,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,127601,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -37,Private,227597,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,?,143995,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,20,United-States,<=50K -21,Private,250051,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K -26,Private,284078,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,207668,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1887,40,United-States,>50K -18,Private,163787,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -27,Private,119170,11th,7,Never-married,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -20,Private,188612,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,Nicaragua,<=50K -36,Private,114605,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -31,?,317761,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,164197,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -54,Private,329266,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K -34,Local-gov,207383,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,123598,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K -33,Private,259931,11th,7,Separated,Machine-op-inspct,Other-relative,White,Male,0,0,30,United-States,<=50K -32,Private,134737,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -42,Private,106900,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,87054,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,82622,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -28,Private,181659,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,321205,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,4101,0,35,United-States,<=50K -44,Self-emp-not-inc,231348,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -40,Private,276096,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,290560,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -21,Private,307315,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -39,State-gov,99156,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -24,Private,237928,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,39,United-States,<=50K -46,Private,153501,HS-grad,9,Never-married,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -47,?,149700,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,36,United-States,>50K -47,Private,189680,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K -35,Private,374524,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,75,United-States,>50K -60,Self-emp-not-inc,127805,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -35,Private,150217,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,24,Poland,<=50K -33,Private,295649,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,China,<=50K -21,Private,197182,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,241998,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -48,Federal-gov,156410,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,50,United-States,>50K -58,Private,473836,7th-8th,4,Widowed,Farming-fishing,Other-relative,White,Female,0,0,45,Guatemala,<=50K -21,Private,198431,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,113936,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,318915,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Self-emp-not-inc,175406,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,>50K -33,?,193172,Assoc-voc,11,Married-civ-spouse,?,Own-child,White,Female,7688,0,50,United-States,>50K -23,Federal-gov,320294,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,State-gov,400285,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -24,?,283731,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -38,Local-gov,227154,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -49,Private,298659,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,Mexico,<=50K -47,Private,212120,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -50,Private,320510,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K -21,Private,175800,HS-grad,9,Never-married,Prof-specialty,Unmarried,White,Female,0,0,55,United-States,<=50K -55,Private,170169,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,344157,11th,7,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,199441,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,225456,HS-grad,9,Never-married,Tech-support,Other-relative,White,Male,0,0,50,United-States,<=50K -36,Private,61178,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Local-gov,175262,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,2002,40,England,<=50K -42,Private,152568,HS-grad,9,Widowed,Sales,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -41,Private,182108,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,27828,0,35,United-States,>50K -46,Private,273771,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,40,United-States,>50K -32,Private,208291,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -34,Private,224358,10th,6,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -33,Private,55176,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -60,State-gov,152711,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -53,Private,68684,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,185452,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,50,United-States,<=50K -39,Federal-gov,175232,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1977,60,United-States,>50K -23,Private,173851,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,162327,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,50,?,>50K -36,Local-gov,51424,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,123416,12th,8,Separated,Prof-specialty,Own-child,White,Female,1055,0,40,United-States,<=50K -26,Private,262656,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -38,Private,233194,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K -41,Private,290660,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,55,United-States,>50K -22,Private,151105,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,18,United-States,<=50K -38,Private,179117,Assoc-acdm,12,Never-married,Machine-op-inspct,Not-in-family,Black,Female,10520,0,50,United-States,>50K -72,?,33608,Some-college,10,Married-civ-spouse,?,Husband,White,Male,9386,0,30,United-States,>50K -39,Private,317434,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,State-gov,126569,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -38,Local-gov,745768,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,45,United-States,<=50K -19,Private,69927,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,16,United-States,<=50K -26,Private,302603,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,45,United-States,<=50K -52,Private,46788,Bachelors,13,Divorced,Craft-repair,Unmarried,White,Male,0,0,25,United-States,<=50K -41,Private,289886,5th-6th,3,Married-civ-spouse,Other-service,Husband,Other,Male,0,1579,40,Nicaragua,<=50K -45,Private,179135,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Federal-gov,175873,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -34,Private,57426,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -36,Private,312206,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -19,Without-pay,344858,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K -26,State-gov,177035,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -60,Private,88055,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,111095,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -39,Private,192251,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K -27,Private,29807,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,40,Japan,<=50K -26,Federal-gov,211596,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,Private,268276,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K -59,Self-emp-not-inc,181070,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,England,>50K -53,Local-gov,20676,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,48,United-States,<=50K -35,Private,115803,11th,7,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Local-gov,124827,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Private,95336,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -36,Private,257942,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,72593,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,147340,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,185325,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -59,Self-emp-not-inc,357943,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -22,Private,215395,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,1602,10,United-States,<=50K -50,Local-gov,30682,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -24,Federal-gov,29591,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Other,Female,0,0,40,United-States,<=50K -36,Private,215392,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,110554,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,4386,0,40,United-States,>50K -42,Self-emp-not-inc,133584,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,El-Salvador,<=50K -38,Private,210438,7th-8th,4,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Private,256916,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,73541,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,109952,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -54,Private,197975,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,0,51,United-States,<=50K -27,Private,401723,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -42,Private,179524,Bachelors,13,Separated,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -33,State-gov,296282,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,145844,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -59,Private,191965,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,3908,0,28,United-States,<=50K -54,Private,96792,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -48,Private,185041,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1672,55,United-States,<=50K -19,?,233779,Some-college,10,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K -45,Private,347834,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,215373,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,<=50K -35,Self-emp-not-inc,169426,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,202856,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,36,United-States,<=50K -33,Private,50276,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Self-emp-not-inc,187454,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,126098,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K -19,Private,250639,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K -64,Self-emp-inc,195366,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,186845,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,8,United-States,<=50K -20,Federal-gov,119156,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,20,United-States,<=50K -28,Private,162343,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -52,Private,108435,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,Greece,>50K -29,Self-emp-not-inc,394927,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -51,Private,172281,Bachelors,13,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,370767,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2377,60,United-States,<=50K -43,Private,352005,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K -52,Private,165681,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,258819,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -25,Private,130793,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -36,Private,118909,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,Jamaica,<=50K -44,Private,202466,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,60,United-States,<=50K -47,Private,161558,10th,6,Married-spouse-absent,Transport-moving,Not-in-family,Black,Male,0,0,45,United-States,<=50K -32,Private,188246,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,160120,Masters,14,Never-married,Prof-specialty,Unmarried,Asian-Pac-Islander,Male,0,0,40,South,<=50K -40,Private,144594,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,2829,0,40,United-States,<=50K -34,Self-emp-not-inc,123429,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -35,Self-emp-inc,340110,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -26,Private,523067,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,3,El-Salvador,<=50K -49,Self-emp-not-inc,113513,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -63,?,186809,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K -46,Self-emp-not-inc,320421,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,25,United-States,<=50K -31,Local-gov,295589,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -22,Private,370548,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -20,Private,120572,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,12,United-States,<=50K -52,Private,110977,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -26,Private,55860,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -34,Private,158800,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -31,Private,131568,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,173613,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -22,Private,216867,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -38,Private,104089,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,208106,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Ecuador,<=50K -27,State-gov,340269,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,236246,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,213408,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,Cuba,<=50K -40,?,84232,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,4,United-States,<=50K -19,Private,302945,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,Thailand,<=50K -69,?,28197,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,>50K -20,Private,262749,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -34,Federal-gov,198265,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K -49,Private,170871,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -27,Private,177761,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,Other,Male,0,0,50,United-States,<=50K -59,Private,175689,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,14,Cuba,>50K -45,Private,205100,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -21,Private,77759,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -51,State-gov,77905,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -64,?,193575,11th,7,Never-married,?,Unmarried,White,Male,0,0,40,United-States,<=50K -41,State-gov,116520,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -18,?,85154,12th,8,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,24,Germany,<=50K -49,Private,180532,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,508891,HS-grad,9,Divorced,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -20,Private,211345,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,20,United-States,<=50K -69,Self-emp-not-inc,170877,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -18,?,97318,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -43,Private,184105,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -50,Private,150941,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,44,United-States,<=50K -32,Private,303942,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -27,Local-gov,273929,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,197077,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,162825,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -46,Private,159869,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,44,United-States,<=50K -19,Private,158343,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,?,<=50K -17,?,406920,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,227986,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,137527,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -36,Private,180150,12th,8,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,239539,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -58,Private,281792,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -40,Private,224799,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -64,Private,292639,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,10566,0,35,United-States,<=50K -66,Private,22313,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -42,Private,194636,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,156089,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -53,Private,193720,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K -25,Private,218667,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,358837,Some-college,10,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -20,Private,174685,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,168854,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,54,United-States,<=50K -28,Private,133696,Bachelors,13,Never-married,Sales,Unmarried,White,Male,0,0,65,United-States,<=50K -23,Federal-gov,350680,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,Poland,<=50K -18,Private,115215,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -43,Self-emp-not-inc,152958,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -29,Private,217200,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,235124,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,46,Dominican-Republic,<=50K -31,Local-gov,144949,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -60,Private,135470,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -42,Private,281209,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,155489,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -38,Private,290306,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -18,Private,182042,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,19,United-States,<=50K -31,Private,210008,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -54,Private,234938,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4064,0,55,United-States,<=50K -46,Private,315423,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,2042,50,United-States,<=50K -27,Self-emp-not-inc,30244,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,80,United-States,<=50K -50,Local-gov,30008,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -38,Self-emp-not-inc,201328,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,56,United-States,<=50K -36,State-gov,96468,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,486332,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,Mexico,<=50K -19,Private,46162,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,25,United-States,<=50K -60,Local-gov,98350,Some-college,10,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,60,Philippines,<=50K -45,Local-gov,175958,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,119309,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,1602,16,United-States,<=50K -42,Private,175935,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,1980,46,United-States,<=50K -38,Private,204527,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -22,?,57827,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,418176,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,32,United-States,<=50K -23,Private,262744,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,177287,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,30,United-States,<=50K -30,Private,255004,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,0,0,52,United-States,<=50K -62,Private,183735,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -26,Self-emp-not-inc,318644,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -42,Federal-gov,132125,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,United-States,>50K -33,Private,206051,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,Self-emp-inc,99185,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,>50K -35,Private,225750,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K -33,Private,245777,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,169092,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,55,United-States,<=50K -62,Private,211035,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,>50K -24,Private,285432,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -50,Local-gov,154779,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -54,Private,37237,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -58,Private,417419,7th-8th,4,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -39,Self-emp-inc,33975,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,42485,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -27,Private,170017,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,152683,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,3908,0,35,United-States,<=50K -20,Private,41721,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,60,United-States,<=50K -64,Private,66634,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Self-emp-inc,257216,Masters,14,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,167882,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,43,United-States,<=50K -45,Private,179428,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -26,Private,57512,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,301614,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,193820,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,1876,40,United-States,<=50K -58,Private,222247,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,40,United-States,>50K -39,Self-emp-inc,189092,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -47,Private,217509,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,Asian-Pac-Islander,Female,0,0,45,Thailand,<=50K -35,Private,308691,Masters,14,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -38,Private,169672,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,120914,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,370156,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -28,Private,398220,5th-6th,3,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K -44,Self-emp-not-inc,208277,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,45,United-States,<=50K -40,Private,337456,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K -55,Private,172666,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -29,Self-emp-not-inc,32280,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,45,United-States,<=50K -33,Private,194901,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -19,?,57329,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,Japan,<=50K -32,Private,173730,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -45,Local-gov,153312,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,10,United-States,>50K -23,Private,274797,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -31,Private,359249,Assoc-voc,11,Never-married,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K -22,Private,152744,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -59,Private,188041,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -32,Private,97723,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K -49,State-gov,354529,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,249727,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -26,Private,189590,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K -23,State-gov,298871,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -55,Self-emp-not-inc,205296,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K -47,Private,303637,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,49,United-States,>50K -44,Private,242861,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,37599,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,24,United-States,<=50K -40,State-gov,199381,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,37,United-States,>50K -32,Self-emp-not-inc,56328,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,8,United-States,>50K -20,Private,256211,Some-college,10,Never-married,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -84,Local-gov,163685,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,33,United-States,<=50K -40,Private,266084,Some-college,10,Divorced,Craft-repair,Other-relative,White,Male,0,0,50,United-States,<=50K -37,Private,161111,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,199031,Some-college,10,Divorced,Transport-moving,Own-child,White,Male,0,1380,40,United-States,<=50K -47,Private,166634,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,Germany,<=50K -62,Self-emp-not-inc,204085,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K -19,?,369527,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -47,Private,464945,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -44,Local-gov,174684,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -26,Local-gov,166295,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,41,United-States,<=50K -36,Private,220511,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,246936,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,104509,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -48,?,266337,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,252168,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -25,Private,92093,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -62,Private,88055,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,129591,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,142719,HS-grad,9,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,65,United-States,<=50K -18,?,264924,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,128796,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K -38,Private,115336,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,70,United-States,<=50K -52,Private,190333,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -63,Self-emp-not-inc,179444,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,15,United-States,<=50K -49,Private,218676,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,<=50K -17,Local-gov,148194,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K -33,Private,184833,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -70,Self-emp-not-inc,280639,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,2329,0,20,United-States,<=50K -19,Private,217769,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -27,?,180553,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,>50K -61,Private,56009,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,255334,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,>50K -46,Self-emp-inc,328216,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,42,?,>50K -29,Private,349154,10th,6,Separated,Farming-fishing,Unmarried,White,Female,0,0,40,Guatemala,<=50K -40,Local-gov,24763,Some-college,10,Divorced,Transport-moving,Unmarried,White,Male,6849,0,40,United-States,<=50K -43,State-gov,41834,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,United-States,>50K -24,Private,113466,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,130856,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -61,Self-emp-not-inc,268797,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,17,United-States,<=50K -48,Private,202117,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,34,United-States,<=50K -19,Private,280146,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -30,Private,70377,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,236696,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -39,Local-gov,222572,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,43,United-States,<=50K -46,Self-emp-inc,110702,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,2036,0,60,United-States,<=50K -40,Private,96129,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,72,United-States,>50K -27,Local-gov,200492,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,193820,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -31,Private,454508,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,2001,40,United-States,<=50K -58,Private,220789,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -33,Private,101345,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,42,Canada,>50K -40,Private,140559,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -40,Self-emp-inc,64885,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -31,Private,402361,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,143582,HS-grad,9,Separated,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,48,China,<=50K -49,Private,185385,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -24,Private,112706,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,130364,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -58,Local-gov,147428,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,Private,205895,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -65,?,273569,HS-grad,9,Widowed,?,Unmarried,White,Male,0,0,40,United-States,<=50K -43,Private,153160,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -48,Self-emp-not-inc,167918,Masters,14,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,50,India,<=50K -41,Private,195661,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,54,United-States,<=50K -27,State-gov,146243,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -52,?,105428,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,12,United-States,<=50K -26,Private,149943,HS-grad,9,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,60,?,<=50K -52,Local-gov,246197,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Local-gov,192563,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -19,Private,244115,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,30,United-States,<=50K -39,Local-gov,98587,Some-college,10,Divorced,Prof-specialty,Own-child,White,Female,0,0,45,United-States,<=50K -47,Private,145886,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,244315,HS-grad,9,Divorced,Craft-repair,Other-relative,Other,Male,0,0,40,United-States,<=50K -48,Private,192779,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,209464,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -60,Private,25141,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -28,Private,405793,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -47,Federal-gov,53498,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -69,?,476653,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -40,Self-emp-not-inc,162312,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,66,South,<=50K -37,Private,277022,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Female,3887,0,40,Nicaragua,<=50K -41,State-gov,109762,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,123031,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,48,Trinadad&Tobago,<=50K -46,Federal-gov,119890,Assoc-voc,11,Separated,Tech-support,Not-in-family,Other,Female,0,0,30,United-States,<=50K -21,Self-emp-not-inc,409230,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -44,Private,223308,Masters,14,Separated,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K -38,?,129150,10th,6,Separated,?,Own-child,White,Male,0,0,35,United-States,<=50K -47,Self-emp-not-inc,119199,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K -42,Private,46221,Doctorate,16,Married-spouse-absent,Other-service,Not-in-family,White,Male,27828,0,60,?,>50K -42,Local-gov,351161,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Private,174533,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K -32,Private,324386,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,126568,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,33,United-States,<=50K -26,Private,275703,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,219611,Bachelors,13,Never-married,Sales,Not-in-family,Black,Female,2174,0,50,United-States,<=50K -49,Private,200471,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K -65,Private,155261,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -73,State-gov,74040,7th-8th,4,Divorced,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -34,Private,226296,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,211968,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -49,Local-gov,126446,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -25,Private,262885,11th,7,Never-married,Other-service,Unmarried,Black,Female,0,0,32,United-States,<=50K -39,Private,188069,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,25,United-States,<=50K -19,Private,113546,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,56,United-States,<=50K -24,Private,227070,10th,6,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -34,Private,136997,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -35,?,119006,HS-grad,9,Widowed,?,Own-child,White,Female,0,0,38,United-States,<=50K -21,Private,212407,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -43,Private,197810,Masters,14,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Federal-gov,35309,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,28,?,<=50K -39,Private,141802,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -48,?,184513,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,80,United-States,>50K -33,Self-emp-not-inc,124187,Assoc-acdm,12,Never-married,Other-service,Not-in-family,Black,Male,0,0,32,United-States,<=50K -19,Private,201743,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,26,United-States,<=50K -17,Private,156736,10th,6,Never-married,Sales,Unmarried,White,Female,0,0,12,United-States,<=50K -43,Self-emp-not-inc,47261,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -62,Private,150693,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K -53,Local-gov,233734,Masters,14,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,>50K -45,State-gov,35969,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -47,Private,159550,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -30,Private,190823,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -53,Private,213378,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,33,United-States,<=50K -24,Private,257500,HS-grad,9,Separated,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -41,Local-gov,488706,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -58,Local-gov,239405,5th-6th,3,Divorced,Other-service,Other-relative,Black,Female,0,0,40,Haiti,<=50K -27,Federal-gov,105189,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,4865,0,50,United-States,<=50K -63,State-gov,109735,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -50,Private,172942,Some-college,10,Divorced,Other-service,Own-child,White,Male,0,0,28,United-States,<=50K -43,Local-gov,209899,Masters,14,Never-married,Tech-support,Not-in-family,Black,Female,8614,0,47,United-States,>50K -29,Self-emp-inc,87745,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -41,Private,187881,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,3942,0,40,United-States,<=50K -55,Private,234125,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,272944,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -23,Local-gov,129232,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,100345,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,13550,0,55,United-States,>50K -58,Self-emp-not-inc,195835,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -25,Private,251854,11th,7,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -40,Private,103474,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K -38,Private,22042,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,39,United-States,<=50K -37,Private,343721,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -19,Private,232368,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -55,Private,174478,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,29,United-States,<=50K -55,Private,282023,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -28,Private,274690,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -53,Private,251675,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,El-Salvador,<=50K -32,?,647882,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,?,<=50K -60,Private,128367,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Male,3325,0,42,United-States,<=50K -32,Private,37380,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -34,Private,173730,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -49,Private,353824,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -21,Private,225890,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,30,United-States,<=50K -24,State-gov,147147,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,20,United-States,<=50K -53,Private,233780,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,Black,Female,2202,0,40,United-States,<=50K -29,Private,394927,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -34,Local-gov,188682,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,?,115209,Prof-school,15,Married-spouse-absent,?,Unmarried,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -41,Private,277192,5th-6th,3,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,40,Mexico,<=50K -21,Private,314182,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,220776,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -31,Local-gov,189269,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,35429,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,2042,40,United-States,<=50K -42,Private,154374,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,60,United-States,>50K -62,Private,161460,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,30,United-States,<=50K -51,Private,251487,7th-8th,4,Widowed,Machine-op-inspct,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -30,Private,177531,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,25,United-States,<=50K -24,Private,53942,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,113481,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Private,361324,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,330087,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -33,Private,276221,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,121055,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -62,Private,118696,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -64,Self-emp-not-inc,289741,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -18,Private,238401,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -43,Private,262038,5th-6th,3,Married-spouse-absent,Farming-fishing,Unmarried,White,Male,0,0,35,Mexico,<=50K -62,Self-emp-not-inc,26911,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,66,United-States,<=50K -29,Private,161155,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,252519,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,Haiti,>50K -39,Private,43712,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -69,?,167826,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,188900,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -44,Private,120057,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,45,United-States,>50K -25,Private,134113,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K -47,Local-gov,165822,Some-college,10,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -17,Private,99161,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,8,United-States,<=50K -41,Local-gov,74581,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,65,United-States,<=50K -19,Private,304643,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -57,Private,121821,1st-4th,2,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,Dominican-Republic,<=50K -25,Private,154863,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Male,0,0,35,United-States,<=50K -37,Local-gov,365430,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Canada,>50K -29,Private,183111,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,50178,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -35,Private,186845,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -52,Private,159908,12th,8,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,162189,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,1831,0,40,Peru,<=50K -29,Private,128509,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Female,0,0,38,El-Salvador,<=50K -23,Private,143032,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,36,United-States,<=50K -31,Private,382368,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,210013,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -19,Private,293928,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -21,Private,208503,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,10,United-States,<=50K -37,State-gov,191841,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,8614,0,40,United-States,>50K -49,Self-emp-not-inc,355978,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,35,United-States,>50K -64,Local-gov,202738,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K -37,Local-gov,144322,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K -70,Self-emp-not-inc,155141,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2377,12,United-States,>50K -22,Private,160120,10th,6,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K -29,Self-emp-inc,190450,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,Germany,<=50K -37,Private,212900,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,115677,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,252250,11th,7,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,65,United-States,<=50K -27,Private,212041,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -58,State-gov,198145,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,>50K -60,Local-gov,113658,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K -20,Private,32426,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K -51,Private,98791,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -37,Private,203828,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -22,State-gov,186634,12th,8,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -56,Self-emp-not-inc,125147,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -26,Private,247455,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,5178,0,42,United-States,>50K -19,Private,97215,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K -37,Private,330826,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,<=50K -27,Private,200802,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,156266,HS-grad,9,Never-married,Sales,Own-child,Amer-Indian-Eskimo,Male,0,0,20,United-States,<=50K -52,Self-emp-not-inc,72257,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -45,Private,363087,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -28,Private,25955,Some-college,10,Never-married,Craft-repair,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -20,Private,334633,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,109162,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -44,Private,569761,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -30,Private,209900,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,State-gov,272986,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Black,Female,0,0,8,United-States,<=50K -55,?,52267,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,18,United-States,<=50K -46,Private,82946,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,104651,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -25,Local-gov,58441,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Local-gov,269733,HS-grad,9,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,?,128453,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,28,United-States,<=50K -36,Private,179468,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,183081,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,102938,Bachelors,13,Never-married,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -30,?,157289,11th,7,Never-married,?,Unmarried,White,Male,0,0,40,United-States,<=50K -24,Private,359828,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K -30,Private,155659,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K -24,Private,585203,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,45,United-States,>50K -62,Private,173601,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,214541,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,1590,40,United-States,<=50K -49,Self-emp-not-inc,163352,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,85,United-States,>50K -36,Self-emp-not-inc,153976,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -47,Local-gov,247676,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,5455,0,45,United-States,<=50K -49,State-gov,155372,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Private,329733,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,162576,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -26,Private,176520,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,53,United-States,<=50K -51,State-gov,226885,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,120781,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -30,Private,375827,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -46,Private,205504,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,20,United-States,<=50K -28,Private,198813,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,40,United-States,<=50K -48,Self-emp-inc,254291,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K -62,Private,159908,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,38,United-States,>50K -49,Private,40000,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,4064,0,44,United-States,<=50K -69,Private,102874,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,24,United-States,<=50K -35,Private,117381,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,8614,0,45,United-States,>50K -78,Private,180239,Masters,14,Widowed,Craft-repair,Unmarried,Asian-Pac-Islander,Male,0,0,40,South,<=50K -61,Private,539563,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -24,Private,261561,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,81057,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,160120,Bachelors,13,Married-civ-spouse,Sales,Husband,Other,Male,0,0,45,?,<=50K -17,Private,41979,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,275110,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,80,United-States,>50K -64,Private,265661,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,193246,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,France,<=50K -32,Private,236543,12th,8,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K -19,Private,29510,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -42,State-gov,105804,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,194604,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -23,Private,1038553,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,45,United-States,<=50K -51,Local-gov,209320,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,3325,0,40,United-States,<=50K -31,Private,193231,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,3325,0,60,United-States,<=50K -44,Private,307468,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,29,United-States,>50K -38,Private,255941,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,10520,0,50,United-States,>50K -44,Local-gov,107845,Assoc-acdm,12,Divorced,Protective-serv,Not-in-family,White,Female,0,0,56,United-States,>50K -44,Self-emp-not-inc,567788,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -38,Private,91857,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -36,Private,732569,9th,5,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,86613,1st-4th,2,Never-married,Other-service,Not-in-family,White,Male,0,0,20,El-Salvador,<=50K -46,Private,35961,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Female,0,0,25,Germany,<=50K -47,Private,114754,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,235124,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,99999,0,40,United-States,>50K -37,Local-gov,218490,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,35,United-States,>50K -27,Private,329426,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -43,Private,181015,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,50,United-States,<=50K -44,Self-emp-not-inc,264740,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -31,Private,381153,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,<=50K -34,Private,189759,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K -39,Private,230467,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,1092,40,Germany,<=50K -36,Private,218542,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -57,Private,298507,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K -78,Private,111189,7th-8th,4,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,35,Dominican-Republic,<=50K -24,Private,168997,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,168894,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,149809,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,344073,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K -22,Private,416165,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,32,United-States,<=50K -36,Private,41490,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -61,Private,40269,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -67,?,243256,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -42,Private,250536,Some-college,10,Separated,Other-service,Unmarried,Black,Female,0,0,21,Haiti,<=50K -49,Federal-gov,105586,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -58,Private,51499,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Local-gov,189878,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K -39,Private,179481,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,4650,0,44,United-States,<=50K -25,Private,299765,Some-college,10,Separated,Adm-clerical,Other-relative,Black,Female,0,0,40,Jamaica,<=50K -45,Self-emp-inc,155664,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,>50K -30,Private,54608,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -49,?,174702,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,35,United-States,<=50K -36,Self-emp-not-inc,285020,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2885,0,40,United-States,<=50K -23,Private,201145,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K -51,Private,125796,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,35,Jamaica,<=50K -55,Private,249072,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -35,Private,99156,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -45,State-gov,94754,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,India,<=50K -36,Private,111128,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K -32,Local-gov,157887,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,74194,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -47,Self-emp-inc,168191,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,28334,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -52,Private,84278,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,?,>50K -44,Private,721161,Some-college,10,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -36,Private,188069,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -40,Private,145178,Some-college,10,Divorced,Craft-repair,Unmarried,Black,Female,0,0,30,United-States,<=50K -17,Private,52967,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,6,United-States,<=50K -18,Private,177578,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,38,United-States,<=50K -30,Self-emp-inc,185384,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,<=50K -66,Private,66008,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,50,England,<=50K -59,Private,329059,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -30,Local-gov,348802,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -50,Private,34233,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,509629,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -28,Private,27956,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,99,Philippines,<=50K -44,Local-gov,83286,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -25,Private,309098,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,188950,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -20,Private,224217,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -67,Private,222899,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Self-emp-not-inc,123306,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -52,Federal-gov,279337,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,347166,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -37,Local-gov,251396,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Canada,>50K -17,Self-emp-inc,143034,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,4,United-States,<=50K -25,Private,57635,Assoc-voc,11,Married-civ-spouse,Sales,Wife,White,Female,0,0,42,United-States,>50K -35,Local-gov,162651,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -63,Private,28334,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -38,Local-gov,84570,Some-college,10,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -33,Private,181091,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,Iran,>50K -51,Local-gov,117496,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -64,State-gov,216160,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,Columbia,>50K -50,Self-emp-inc,204447,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,374969,10th,6,Never-married,Transport-moving,Not-in-family,White,Male,0,0,56,United-States,<=50K -67,Private,35015,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,99,United-States,<=50K -46,Private,179869,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -60,Self-emp-not-inc,137733,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -29,Private,193125,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,103649,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -56,State-gov,54260,Doctorate,16,Married-civ-spouse,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,2885,0,40,China,<=50K -29,Private,197932,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,Mexico,>50K -37,Private,249720,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,27,United-States,<=50K -55,Private,223613,1st-4th,2,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,30,Cuba,<=50K -24,Private,259865,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -21,Private,301694,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,Mexico,<=50K -46,Self-emp-inc,276934,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -25,Private,395512,12th,8,Married-civ-spouse,Machine-op-inspct,Other-relative,Other,Male,0,0,40,Mexico,<=50K -40,Private,168071,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,28,United-States,<=50K -23,Private,45317,Some-college,10,Separated,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -43,Self-emp-not-inc,311177,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,30,United-States,<=50K -29,Self-emp-not-inc,190636,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,1485,60,United-States,>50K -59,Private,221336,10th,6,Widowed,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -18,Private,120691,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,35,?,<=50K -28,Private,107389,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,32,United-States,<=50K -17,Private,293440,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -53,Private,145409,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -22,Private,213902,5th-6th,3,Never-married,Priv-house-serv,Other-relative,White,Female,0,0,40,El-Salvador,<=50K -63,Private,100099,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,191856,Masters,14,Married-civ-spouse,Sales,Wife,White,Female,0,0,45,United-States,>50K -40,Local-gov,233891,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K -61,Self-emp-not-inc,96073,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,England,>50K -35,Private,474136,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1408,40,United-States,<=50K -43,Self-emp-not-inc,355856,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,Philippines,<=50K -20,?,144685,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,1602,40,Taiwan,<=50K -48,Self-emp-not-inc,139212,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,State-gov,143931,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Federal-gov,160703,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,191291,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,68729,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,1902,40,United-States,>50K -61,Private,119986,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -37,Private,227545,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,>50K -36,Private,32776,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K -34,Private,228881,Some-college,10,Separated,Machine-op-inspct,Not-in-family,Other,Male,0,0,40,United-States,<=50K -23,Private,84648,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -63,Federal-gov,101996,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -63,?,68954,HS-grad,9,Widowed,?,Not-in-family,Black,Female,0,0,11,United-States,<=50K -47,Local-gov,285060,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,41,United-States,>50K -55,Self-emp-inc,209569,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,50,United-States,>50K -31,Local-gov,331126,Bachelors,13,Never-married,Protective-serv,Own-child,Black,Male,0,0,48,United-States,<=50K -27,Private,279872,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Private,150560,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,14084,0,40,United-States,>50K -28,Local-gov,185647,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,<=50K -52,Private,128871,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,64,United-States,<=50K -31,Federal-gov,386331,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,50,United-States,<=50K -53,Private,117814,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -43,Private,220609,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,50,United-States,<=50K -43,Local-gov,117022,HS-grad,9,Married-spouse-absent,Farming-fishing,Unmarried,Black,Male,0,0,40,United-States,<=50K -50,Self-emp-inc,176751,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,80,United-States,>50K -68,?,76371,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K -37,Private,80410,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,127202,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,121471,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,219086,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -59,Private,271571,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,50,United-States,>50K -30,Private,241583,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,374253,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,55,United-States,<=50K -30,Private,214993,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Local-gov,199995,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K -38,Private,450924,12th,8,Married-civ-spouse,Other-service,Husband,White,Male,3942,0,40,United-States,<=50K -29,Private,120359,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -76,Private,93125,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,1424,0,24,United-States,<=50K -21,Private,187513,Assoc-voc,11,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -65,Private,243569,Some-college,10,Widowed,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K -43,Private,295510,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -29,Private,29732,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,24,United-States,<=50K -32,Private,211743,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -37,Private,251396,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -64,Private,477697,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,16,United-States,<=50K -49,Private,151584,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -44,Private,193882,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -68,?,117542,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,1409,0,15,United-States,<=50K -34,Private,242460,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -35,Private,411395,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,36,United-States,<=50K -53,Private,191025,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K -24,Private,154571,Assoc-voc,11,Never-married,Sales,Unmarried,Asian-Pac-Islander,Male,0,0,50,South,<=50K -31,Private,208657,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,29599,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,United-States,<=50K -36,Private,423711,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -29,Private,122000,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -37,Private,148581,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -42,Self-emp-not-inc,222978,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -30,Private,149118,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Self-emp-inc,218407,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,70,Cuba,<=50K -47,Self-emp-not-inc,112200,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,10520,0,45,United-States,>50K -44,Private,85604,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -19,Private,111232,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,99199,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K -51,Private,199995,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -69,Private,122850,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,16,United-States,<=50K -73,?,90557,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -18,?,271935,11th,7,Never-married,?,Other-relative,White,Female,0,0,20,United-States,<=50K -33,Self-emp-not-inc,361497,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Local-gov,399020,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,55,United-States,<=50K -33,Private,345277,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,45,United-States,>50K -20,Federal-gov,55233,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -28,Self-emp-not-inc,200515,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,188119,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,176683,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K -22,Private,309178,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -67,Self-emp-not-inc,40021,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -31,Self-emp-inc,49923,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -36,?,36635,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,25,United-States,<=50K -43,Federal-gov,325706,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,India,>50K -33,Private,124407,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Self-emp-not-inc,301568,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K -27,Private,339956,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,60,United-States,<=50K -36,Private,176335,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,198452,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -63,Private,213945,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,Iran,>50K -48,Private,171807,Bachelors,13,Divorced,Other-service,Unmarried,White,Female,0,0,56,United-States,>50K -25,Private,362826,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,45,United-States,<=50K -41,Self-emp-not-inc,344329,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,10,United-States,<=50K -26,Private,137678,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,175424,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -33,State-gov,73296,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,1831,0,40,United-States,<=50K -30,State-gov,137613,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,17,Taiwan,<=50K -67,Self-emp-not-inc,354405,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -32,Private,130057,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -48,Self-emp-not-inc,362883,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,>50K -51,Private,49017,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -39,Private,149943,Masters,14,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,40,China,<=50K -40,Self-emp-inc,99185,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -40,Private,294708,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -19,Private,228238,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K -28,Private,156819,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,36,United-States,<=50K -47,Private,332727,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -20,Private,289944,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -41,Private,116103,HS-grad,9,Widowed,Exec-managerial,Other-relative,White,Male,914,0,40,United-States,<=50K -29,Private,24153,Some-college,10,Married-civ-spouse,Other-service,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -40,Private,273425,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -61,Private,231183,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,313930,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -26,Private,114483,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,162108,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,168807,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -43,Local-gov,143828,Masters,14,Divorced,Prof-specialty,Unmarried,Black,Female,9562,0,40,United-States,>50K -73,Private,242769,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3471,0,40,England,<=50K -46,Local-gov,111558,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,69770,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -37,Private,291981,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,102460,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,151584,HS-grad,9,Divorced,Sales,Own-child,White,Male,0,1876,40,United-States,<=50K -47,Local-gov,287320,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,115677,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,239632,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,409172,Bachelors,13,Married-civ-spouse,Exec-managerial,Own-child,White,Male,0,0,55,United-States,<=50K -20,Private,186849,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K -28,Private,118861,10th,6,Married-civ-spouse,Craft-repair,Wife,Other,Female,0,0,48,Guatemala,<=50K -26,Private,142689,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,?,<=50K -41,State-gov,170924,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -67,?,274451,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,153489,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,186489,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,46,United-States,<=50K -18,Private,192409,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -55,State-gov,337599,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,195545,HS-grad,9,Divorced,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -64,Private,61892,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,15,United-States,<=50K -34,Self-emp-not-inc,175697,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,75,United-States,<=50K -38,Private,80303,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -25,Private,419658,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,8,United-States,<=50K -21,Private,319163,Some-college,10,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -37,Private,126743,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,53,Mexico,<=50K -39,Private,301568,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,120461,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -23,Private,268145,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -54,Private,257337,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -49,Self-emp-inc,213354,Masters,14,Separated,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,>50K -25,Private,303431,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -51,Private,124963,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -29,Private,158218,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,35,United-States,<=50K -27,State-gov,553473,Bachelors,13,Married-civ-spouse,Protective-serv,Wife,Black,Female,0,0,48,United-States,<=50K -53,Private,46155,HS-grad,9,Married-civ-spouse,Priv-house-serv,Other-relative,White,Female,0,0,40,United-States,<=50K -68,Private,138714,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -56,Private,231781,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -30,Private,496414,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,?,<=50K -24,Private,19410,HS-grad,9,Divorced,Sales,Unmarried,Amer-Indian-Eskimo,Female,0,0,48,United-States,<=50K -70,?,28471,9th,5,Widowed,?,Unmarried,White,Female,0,0,25,United-States,<=50K -24,Private,185821,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -74,?,272667,Assoc-acdm,12,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -23,?,194031,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -41,Local-gov,144995,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -45,Private,162494,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,19,United-States,<=50K -35,Private,171968,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,232569,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,161819,11th,7,Separated,Adm-clerical,Unmarried,Black,Female,0,0,25,United-States,<=50K -18,Private,123343,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -49,Private,105449,Bachelors,13,Never-married,Priv-house-serv,Not-in-family,White,Male,0,0,25,United-States,<=50K -49,Private,181717,Assoc-voc,11,Separated,Prof-specialty,Own-child,White,Female,0,0,36,United-States,<=50K -45,Local-gov,102359,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,37,United-States,<=50K -27,Private,72887,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -28,Private,154571,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -35,Private,255191,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -33,Private,174789,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,110402,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -19,Private,208513,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -33,Private,121904,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K -28,Private,34335,HS-grad,9,Divorced,Sales,Not-in-family,Amer-Indian-Eskimo,Male,14084,0,40,United-States,>50K -49,Private,59380,Some-college,10,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,?,135285,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,2603,32,United-States,<=50K -39,Self-emp-inc,126675,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K -22,Private,217363,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,91836,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,184813,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,178142,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -49,Local-gov,102359,9th,5,Widowed,Handlers-cleaners,Unmarried,White,Male,0,2231,40,United-States,>50K -33,Self-emp-inc,281832,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Cuba,>50K -28,Private,96226,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -42,Private,195124,7th-8th,4,Married-spouse-absent,Prof-specialty,Other-relative,White,Male,0,0,35,Puerto-Rico,<=50K -20,Private,56322,Some-college,10,Never-married,Other-service,Own-child,White,Male,2176,0,25,United-States,<=50K -50,Local-gov,97449,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,<=50K -32,Private,339773,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Federal-gov,210926,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,199499,Assoc-voc,11,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -46,Federal-gov,190729,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -32,Self-emp-inc,191385,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,77,United-States,<=50K -61,Private,193479,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,24,United-States,<=50K -43,Self-emp-not-inc,225165,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -35,Private,346766,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,State-gov,152307,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -18,?,79990,11th,7,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K -42,Self-emp-not-inc,170649,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -23,Private,197207,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,229732,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -52,Private,204402,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,85,United-States,>50K -36,Private,181065,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -38,Private,179579,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,>50K -50,Private,237729,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,2444,72,United-States,>50K -23,?,164574,Assoc-acdm,12,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -71,Private,179574,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,12,United-States,>50K -27,Private,191782,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,30,United-States,<=50K -56,Private,146660,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -28,Self-emp-not-inc,115945,Some-college,10,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -45,Private,210875,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,137898,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -28,Local-gov,216965,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,201554,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,15,United-States,<=50K -62,Private,57970,7th-8th,4,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,208378,12th,8,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,61343,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K -24,Private,283872,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,20,United-States,<=50K -58,Private,225603,9th,5,Divorced,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K -48,Private,401333,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Private,278228,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -31,Private,145377,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -25,Private,120238,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,187215,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,36,United-States,>50K -29,Self-emp-not-inc,144063,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K -38,Private,238721,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -21,Private,164920,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -34,Self-emp-not-inc,152493,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -50,Private,92968,Bachelors,13,Never-married,Sales,Unmarried,White,Female,0,0,32,United-States,<=50K -50,Private,136836,HS-grad,9,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -49,Federal-gov,216453,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,45,United-States,<=50K -30,Private,349148,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,<=50K -29,State-gov,309620,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,20,Taiwan,<=50K -22,State-gov,347803,Some-college,10,Never-married,Adm-clerical,Not-in-family,Other,Male,0,0,20,United-States,<=50K -42,Private,85995,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -19,?,167428,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,164569,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,48,United-States,<=50K -42,Self-emp-not-inc,308279,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,21,United-States,<=50K -20,Private,56322,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -51,?,203015,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,211654,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -27,Self-emp-inc,120126,9th,5,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,239043,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,?,179761,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -20,Private,312017,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,Germany,<=50K -51,Private,257485,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -52,Private,49243,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,229716,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K -31,Private,341672,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,60,India,<=50K -24,Private,32311,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -56,Private,275236,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -19,?,400356,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,184596,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,3942,0,50,United-States,<=50K -18,Private,186909,HS-grad,9,Never-married,Sales,Other-relative,White,Female,1055,0,30,United-States,<=50K -43,Private,152420,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,50,United-States,<=50K -43,State-gov,261929,Doctorate,16,Married-spouse-absent,Prof-specialty,Unmarried,White,Male,25236,0,64,United-States,>50K -21,Private,235442,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,161691,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -20,?,173945,11th,7,Married-civ-spouse,?,Other-relative,White,Female,0,0,39,United-States,<=50K -41,Private,355918,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,>50K -45,State-gov,198660,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,Private,122649,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -28,Private,421967,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,60,United-States,>50K -50,Local-gov,259377,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,40,United-States,>50K -47,Private,74305,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -80,Self-emp-not-inc,34340,7th-8th,4,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,35,United-States,<=50K -47,Self-emp-not-inc,182752,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,Iran,<=50K -19,?,48393,Some-college,10,Never-married,?,Own-child,White,Male,0,0,84,United-States,<=50K -45,Private,34248,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -17,Private,186677,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K -37,Private,167851,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,146460,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,209650,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -18,Self-emp-not-inc,132986,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -57,Private,94429,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,252406,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,174592,Masters,14,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,151322,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -51,Private,37237,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,>50K -38,Private,101192,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -77,?,152900,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -51,Private,94081,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -24,Private,329408,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,106028,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,65,United-States,<=50K -35,?,164866,10th,6,Divorced,?,Not-in-family,White,Male,0,0,99,United-States,<=50K -51,Self-emp-inc,167793,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -28,Private,138692,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -37,Private,173968,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,228320,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,96585,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -42,Private,156580,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,Puerto-Rico,<=50K -58,Private,210673,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -52,Local-gov,137753,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,20,United-States,<=50K -29,Private,29865,HS-grad,9,Divorced,Sales,Not-in-family,Amer-Indian-Eskimo,Female,0,0,50,United-States,<=50K -27,Private,196044,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -28,Private,308995,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,Jamaica,<=50K -59,Private,159008,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,20,United-States,>50K -28,Private,362491,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,94395,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,320047,10th,6,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,98535,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -65,Private,183170,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K -18,?,331511,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -38,Private,195686,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -29,Private,178244,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,127833,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -36,Private,269722,Masters,14,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -55,State-gov,136819,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,205604,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,30,Mexico,<=50K -28,Private,132078,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,234880,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -24,Private,196816,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3908,0,40,United-States,<=50K -36,Private,237943,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -68,Self-emp-inc,140852,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,105614,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -18,Private,83492,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -50,Self-emp-not-inc,225772,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,>50K -37,Private,242713,12th,8,Separated,Priv-house-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K -60,Private,355865,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -43,Private,173316,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-inc,35662,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,70,United-States,>50K -17,Private,297246,11th,7,Never-married,Priv-house-serv,Own-child,White,Female,0,0,9,United-States,<=50K -43,Private,108945,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -39,Private,112158,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,26,?,<=50K -21,Self-emp-not-inc,57298,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -42,Self-emp-not-inc,115323,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,7,?,<=50K -48,Self-emp-not-inc,164582,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,7298,0,60,United-States,>50K -56,Private,295067,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,14084,0,45,United-States,>50K -21,Private,177265,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -28,Local-gov,336543,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,40,Hong,>50K -39,Self-emp-not-inc,52870,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -40,Private,316820,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K -38,Local-gov,200153,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Private,453067,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,>50K -51,Federal-gov,27166,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,299598,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K -23,Private,122048,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,345277,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,113147,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K -43,Private,34007,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -45,Private,255014,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -34,Private,152667,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,35,United-States,<=50K -21,Private,231053,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,United-States,<=50K -34,Private,103651,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -55,Self-emp-inc,124137,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -30,Private,198183,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,183627,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3137,0,48,Ireland,<=50K -19,Private,466458,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -45,Self-emp-not-inc,114396,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -42,Private,186376,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,72,Philippines,>50K -32,Private,290964,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,1590,40,United-States,<=50K -90,Self-emp-not-inc,282095,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -44,State-gov,244974,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,44,United-States,>50K -34,Self-emp-not-inc,114691,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -35,Private,107160,12th,8,Separated,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -39,Self-emp-not-inc,142573,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,25,United-States,<=50K -29,Private,203833,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -24,Private,47791,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -49,Private,133729,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,17,United-States,<=50K -52,Self-emp-not-inc,135339,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K -54,Private,135803,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,15024,0,60,South,>50K -31,Private,128591,9th,5,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,133853,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -18,?,137363,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -27,Self-emp-not-inc,243569,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,119156,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,391114,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K -27,Private,252506,Some-college,10,Divorced,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -34,State-gov,117503,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,20,Italy,<=50K -25,State-gov,117833,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,19,United-States,<=50K -39,Private,294183,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,394927,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -51,Self-emp-not-inc,259323,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K -21,?,207988,HS-grad,9,Married-civ-spouse,?,Other-relative,White,Female,0,0,35,United-States,<=50K -33,Private,96635,Some-college,10,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,26,South,<=50K -27,Private,192283,Assoc-voc,11,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,38,United-States,<=50K -29,Private,214881,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,State-gov,167474,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,110713,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -20,Private,201204,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,197666,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,162002,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -31,Private,263561,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2246,45,United-States,>50K -41,Private,224799,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,89942,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,238685,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -54,Private,38795,9th,5,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -55,Private,90414,Bachelors,13,Married-spouse-absent,Craft-repair,Unmarried,White,Female,0,0,55,Ireland,<=50K -21,Private,190805,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,32,United-States,<=50K -52,Private,23780,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K -19,Private,285263,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,177331,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -22,Private,347530,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K -59,Private,230039,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,625,38,United-States,<=50K -17,?,210547,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,204752,12th,8,Never-married,Sales,Own-child,White,Male,0,0,32,United-States,<=50K -74,Self-emp-not-inc,104001,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -45,Private,253116,10th,6,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,Private,169037,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Self-emp-inc,202027,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -45,Private,170099,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,212847,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,85,United-States,<=50K -50,State-gov,307392,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,233428,HS-grad,9,Divorced,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K -44,Private,355728,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Male,0,1980,45,England,<=50K -52,Private,177995,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,56,Mexico,>50K -24,Private,283613,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,43,United-States,<=50K -56,Self-emp-inc,184598,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,<=50K -27,Private,185647,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -47,Self-emp-inc,192894,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,45,United-States,>50K -40,Self-emp-not-inc,284706,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,1977,60,United-States,>50K -38,Private,179579,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,131679,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Private,132973,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -22,Private,154713,HS-grad,9,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,121718,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,<=50K -30,Private,255279,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -55,Private,202559,Bachelors,13,Married-civ-spouse,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,35,Philippines,<=50K -25,Private,123095,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,1590,40,United-States,<=50K -32,Private,153326,Bachelors,13,Married-civ-spouse,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,<=50K -28,Private,75695,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K -33,Self-emp-inc,206609,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -17,Private,234780,HS-grad,9,Never-married,Farming-fishing,Own-child,Black,Male,0,0,40,United-States,<=50K -27,Private,178778,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,171355,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,20,United-States,<=50K -63,Federal-gov,95680,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,18,United-States,>50K -39,Private,196673,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,5013,0,40,United-States,<=50K -51,Federal-gov,73670,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,4386,0,52,United-States,>50K -67,Self-emp-not-inc,139960,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-inc,397280,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,72,?,<=50K -27,Private,60374,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Female,0,1594,26,United-States,<=50K -54,Private,421561,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -59,Private,245196,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -18,Private,27620,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -19,Private,187570,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -31,Private,102884,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -17,Private,228399,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,7,United-States,<=50K -42,Private,340234,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,15024,0,40,United-States,>50K -37,Private,176293,Some-college,10,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -51,Local-gov,108435,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,161187,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,2463,0,40,United-States,<=50K -23,Private,278391,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,157941,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,182866,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -69,Private,370888,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,2964,0,6,Germany,<=50K -30,Private,206512,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,44,United-States,<=50K -33,Private,357954,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,35,India,<=50K -28,Private,189346,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,48,United-States,<=50K -45,Private,234652,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -25,Private,113436,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K -37,Private,204145,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -59,Private,157305,Preschool,1,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Dominican-Republic,<=50K -26,Private,104045,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -48,Private,280422,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,25,Peru,<=50K -64,Federal-gov,173754,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,211154,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,321435,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,State-gov,177083,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -46,Private,178829,Masters,14,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,>50K -35,Federal-gov,287658,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K -43,Private,209894,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -31,Private,334744,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,306967,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -35,Private,52187,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -35,Private,101978,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -35,State-gov,483530,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Private,77357,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -50,Private,149770,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -48,Self-emp-not-inc,328606,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,14084,0,63,United-States,>50K -70,?,172652,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -46,Private,188293,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,116608,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,38,United-States,<=50K -37,State-gov,348960,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,>50K -24,Private,329530,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,Mexico,<=50K -47,Local-gov,93476,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,70,United-States,<=50K -35,Self-emp-not-inc,195744,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -43,Private,125833,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -18,State-gov,191117,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -54,Private,311020,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -62,Private,210464,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,38,United-States,<=50K -36,Private,135289,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -27,Private,156266,9th,5,Married-civ-spouse,Farming-fishing,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -23,Private,154210,Some-college,10,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Male,0,0,14,Puerto-Rico,<=50K -61,?,160625,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,4386,0,15,United-States,>50K -39,Self-emp-not-inc,331481,Bachelors,13,Divorced,Craft-repair,Not-in-family,Black,Male,0,1669,60,?,<=50K -33,Self-emp-not-inc,249249,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -28,Private,261725,1st-4th,2,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Mexico,<=50K -22,Private,239612,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -31,Self-emp-not-inc,226696,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -26,Private,190330,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -44,Private,193755,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -73,Private,192740,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -44,Private,201924,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -35,Private,77146,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -33,Private,126414,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,?,<=50K -27,Private,43652,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Federal-gov,227244,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,50,United-States,>50K -29,Private,160731,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -33,Private,287878,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,26,United-States,<=50K -50,Private,166758,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -32,Private,183811,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,2829,0,40,United-States,<=50K -41,Self-emp-not-inc,254818,Masters,14,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,Peru,<=50K -19,?,220517,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -45,Private,295046,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -65,Private,190568,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,810,36,United-States,<=50K -42,State-gov,211915,Some-college,10,Separated,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Self-emp-not-inc,295621,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,25,United-States,>50K -32,Private,204567,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,60,United-States,>50K -42,Private,204235,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -49,Private,186982,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K -38,Private,133586,HS-grad,9,Married-civ-spouse,Protective-serv,Own-child,White,Male,0,0,45,United-States,<=50K -38,Private,165930,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,164898,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K -24,Private,278155,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,30,United-States,<=50K -27,Self-emp-not-inc,115705,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -25,Private,150553,9th,5,Married-spouse-absent,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -29,Private,185127,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,201595,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -44,Self-emp-inc,165815,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,96,United-States,<=50K -26,Private,102420,Bachelors,13,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,40,South,<=50K -46,Local-gov,344172,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,49,United-States,>50K -38,Private,222450,Some-college,10,Separated,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -38,Private,212245,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,State-gov,190625,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -33,Private,203488,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,304260,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -31,Local-gov,243665,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,41,United-States,>50K -26,Self-emp-not-inc,189238,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,4,Mexico,<=50K -42,Private,77373,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,<=50K -27,Private,410351,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,36385,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -64,Private,110150,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,198316,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,127772,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,199058,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -56,Private,285730,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,66,United-States,<=50K -25,Local-gov,334133,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -60,State-gov,97030,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -52,Private,67090,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K -43,Private,397963,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,594,0,16,United-States,<=50K -46,Private,182533,Bachelors,13,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -19,Private,560804,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -56,Private,365050,7th-8th,4,Never-married,Farming-fishing,Unmarried,Black,Female,0,0,20,United-States,<=50K -22,Private,110200,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,150025,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K -39,Private,299828,5th-6th,3,Separated,Sales,Unmarried,Black,Female,0,0,30,Puerto-Rico,<=50K -28,Private,109282,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,103435,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -22,Private,34747,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -39,Private,137522,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K -39,Private,286789,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Self-emp-not-inc,211032,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -67,?,192916,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,3818,0,11,United-States,<=50K -31,Private,219318,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,Puerto-Rico,<=50K -50,Private,112873,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,36069,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3908,0,46,United-States,<=50K -48,Private,73434,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Germany,>50K -51,Private,200576,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,172962,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,44006,Assoc-voc,11,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,234474,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -37,Private,212826,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -38,Private,234901,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -59,Federal-gov,200700,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K -59,Self-emp-not-inc,41258,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -51,Private,249644,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,>50K -60,?,230165,Bachelors,13,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K -29,Private,351731,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,114765,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,349884,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -28,Self-emp-inc,204247,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -34,Private,143392,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -50,Self-emp-not-inc,37913,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Italy,>50K -22,Self-emp-inc,150683,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,24,United-States,<=50K -27,Private,207611,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,52,United-States,<=50K -45,State-gov,319666,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,0,0,43,United-States,<=50K -39,Private,155961,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,38,United-States,<=50K -25,Local-gov,117833,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -63,?,447079,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,15,United-States,<=50K -24,Self-emp-inc,142404,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -18,Private,155752,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,30,United-States,<=50K -19,?,252292,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,111450,12th,8,Never-married,Other-service,Unmarried,Black,Male,0,0,38,United-States,<=50K -20,Private,528616,5th-6th,3,Never-married,Other-service,Other-relative,White,Male,0,0,40,Mexico,<=50K -17,Self-emp-not-inc,228786,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -63,Self-emp-inc,80572,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -28,Local-gov,180271,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,65,United-States,>50K -51,Federal-gov,237819,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -29,Private,157612,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,3325,0,45,United-States,<=50K -64,Private,379062,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,12,United-States,<=50K -17,Private,191910,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -45,Local-gov,326064,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,6497,0,35,United-States,<=50K -18,Private,312353,12th,8,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K -31,Local-gov,213307,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -48,Self-emp-not-inc,209057,Bachelors,13,Married-spouse-absent,Sales,Own-child,White,Male,0,0,50,United-States,>50K -41,Private,340148,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -65,Private,154171,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,60,United-States,>50K -27,Private,94064,Assoc-voc,11,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,119098,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,388496,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,8,Puerto-Rico,>50K -49,Private,181363,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -58,?,210031,HS-grad,9,Divorced,?,Unmarried,White,Male,0,0,40,United-States,<=50K -36,Private,206951,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,45,United-States,>50K -25,Private,485496,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -41,Private,210259,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,37,United-States,<=50K -31,Private,118551,9th,5,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -63,Private,180911,11th,7,Married-civ-spouse,Protective-serv,Husband,White,Male,4386,0,37,United-States,>50K -50,State-gov,242517,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -63,Private,298113,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,277783,Masters,14,Never-married,Farming-fishing,Own-child,White,Male,0,0,99,United-States,<=50K -48,Private,155862,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K -51,Self-emp-not-inc,171924,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -18,Private,243900,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -23,Private,231160,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -31,Private,356882,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5013,0,40,United-States,<=50K -38,Private,49020,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,?,105460,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,England,<=50K -56,Private,157749,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -31,Private,131568,7th-8th,4,Divorced,Transport-moving,Unmarried,White,Male,0,0,20,United-States,<=50K -46,Private,332355,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,204501,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -56,Local-gov,305767,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -31,Private,129761,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Self-emp-inc,130126,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K -53,Private,102828,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -18,Private,160984,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -18,?,255282,11th,7,Never-married,?,Own-child,Black,Male,0,1602,48,United-States,<=50K -20,?,346341,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -27,Private,285897,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,45,United-States,>50K -31,Private,356689,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Federal-gov,192386,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,40,United-States,<=50K -46,Private,394860,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,113129,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,24,United-States,<=50K -26,Private,55929,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Local-gov,177018,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -37,Private,161141,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -29,Private,309463,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,165468,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,United-States,>50K -24,Private,49218,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -74,Self-emp-not-inc,119129,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,2149,20,United-States,<=50K -56,Self-emp-not-inc,162130,5th-6th,3,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,67,United-States,>50K -39,Federal-gov,129573,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,1741,40,United-States,<=50K -21,Private,306850,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,135296,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,2258,45,United-States,>50K -43,Self-emp-not-inc,187322,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,45,United-States,<=50K -23,Private,55674,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,2907,0,40,United-States,<=50K -26,Private,148298,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -47,Private,34845,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -27,Private,200733,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K -45,Private,191858,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -30,Private,425528,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,70,United-States,<=50K -35,Private,44780,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,20,United-States,>50K -33,Private,125856,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,100508,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -21,Private,148294,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K -42,Private,39324,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -48,Federal-gov,147397,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,36,United-States,<=50K -46,Private,24728,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,48,United-States,<=50K -36,Private,177616,5th-6th,3,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,163826,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,199947,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -26,Local-gov,386949,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,25,United-States,<=50K -36,Self-emp-inc,116133,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,57,United-States,<=50K -56,Self-emp-not-inc,196307,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -37,Private,177181,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,324854,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -23,Private,188505,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -23,State-gov,502316,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,State-gov,26892,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Private,102058,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -39,Private,167728,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -67,Local-gov,233681,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -60,Private,26756,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -54,Private,101890,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,192337,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,England,>50K -47,Private,340982,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,3103,0,40,Philippines,>50K -49,State-gov,102308,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K -19,Private,84747,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K -20,Private,197752,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -66,Private,185336,HS-grad,9,Widowed,Sales,Other-relative,White,Female,0,0,35,United-States,<=50K -22,?,289984,Some-college,10,Never-married,?,Not-in-family,Black,Female,0,0,25,United-States,<=50K -51,Self-emp-not-inc,125417,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K -19,Private,278480,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,146412,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,193042,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -41,Private,53956,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,1980,56,United-States,<=50K -90,Private,175491,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,9386,0,50,Ecuador,>50K -78,?,33186,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K -36,Private,144154,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,194901,Prof-school,15,Divorced,Sales,Own-child,White,Male,0,0,55,United-States,<=50K -35,Private,335777,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,Mexico,<=50K -46,Private,139268,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -38,Private,33887,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -24,Private,283613,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,141245,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Puerto-Rico,<=50K -49,Private,298130,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,186096,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,30,United-States,<=50K -77,Private,187656,Some-college,10,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,20,United-States,<=50K -46,Private,102308,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,56,United-States,>50K -41,Private,124639,Some-college,10,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -28,Private,388112,1st-4th,2,Never-married,Farming-fishing,Unmarried,White,Male,0,0,77,Mexico,<=50K -21,Private,109952,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,164529,12th,8,Never-married,Farming-fishing,Own-child,Black,Male,0,0,40,United-States,<=50K -36,Private,247750,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,45,United-States,<=50K -23,State-gov,103588,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K -38,Federal-gov,248919,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2051,40,United-States,<=50K -29,Self-emp-not-inc,178551,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,136137,Some-college,10,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,0,0,50,United-States,>50K -47,Federal-gov,55377,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Male,0,0,40,United-States,>50K -39,Local-gov,177728,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Local-gov,243580,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K -21,?,188535,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,63910,HS-grad,9,Divorced,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -23,Private,219535,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -44,State-gov,180609,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,59313,Some-college,10,Separated,Other-service,Not-in-family,Black,Male,0,0,40,?,<=50K -70,Private,170428,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,20,Puerto-Rico,<=50K -51,Private,102615,Masters,14,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1977,40,United-States,>50K -66,Private,193132,9th,5,Separated,Other-service,Not-in-family,Black,Female,0,0,30,United-States,<=50K -57,Self-emp-inc,124137,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,136629,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -48,Self-emp-inc,148995,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K -24,?,203076,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,63424,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -43,Private,241895,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -27,Private,266973,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -32,Private,188048,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -20,Private,366929,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -33,Private,214129,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,250818,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Local-gov,240979,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -35,Private,98283,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,India,>50K -26,Private,104746,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,60,United-States,<=50K -39,Private,103710,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,60,United-States,<=50K -24,Private,159580,Bachelors,13,Never-married,Other-service,Own-child,Black,Female,0,0,75,United-States,<=50K -45,Private,117409,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -20,Private,140001,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -49,State-gov,31650,Bachelors,13,Married-civ-spouse,Prof-specialty,Other-relative,White,Female,0,0,45,United-States,<=50K -35,State-gov,80771,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,66278,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,107801,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,1617,25,United-States,<=50K -33,Private,206609,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -35,Private,282461,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -31,Private,188246,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -20,Private,279763,11th,7,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,25,United-States,<=50K -44,Private,467799,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,137674,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -50,Private,158284,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,204219,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K -28,State-gov,210498,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -60,Federal-gov,63526,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -38,Federal-gov,216924,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,372559,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -57,Federal-gov,199114,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,2258,40,United-States,<=50K -50,Private,168539,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -39,Local-gov,189911,11th,7,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -69,Local-gov,61958,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,1424,0,6,United-States,<=50K -51,State-gov,68898,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Male,0,2444,39,United-States,>50K -42,Private,204450,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -53,Private,311350,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -37,Private,113750,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,359591,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,132879,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,United-States,>50K -20,Private,301199,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -38,State-gov,267540,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,38,United-States,<=50K -52,Private,185407,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,Poland,>50K -48,Self-emp-inc,191277,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -30,Private,78980,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -37,Self-emp-not-inc,241463,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,65,United-States,>50K -47,Private,216999,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -33,Local-gov,120508,Bachelors,13,Divorced,Protective-serv,Unmarried,White,Female,0,0,60,Germany,<=50K -33,Private,122612,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Thailand,<=50K -20,Private,94057,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -41,State-gov,197558,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,351869,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1485,45,United-States,>50K -54,Self-emp-not-inc,121761,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,?,<=50K -36,Federal-gov,184556,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -46,Private,268281,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,235646,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -18,Private,186909,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -62,Private,35783,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,188861,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,363591,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -18,Private,469921,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -32,Private,51150,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,174325,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -20,Private,347530,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K -50,Private,72351,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -42,Local-gov,185129,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,?,>50K -36,Private,188571,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,255252,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,291951,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,223046,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Local-gov,37937,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,43,United-States,<=50K -38,Private,295127,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -34,Local-gov,183801,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,14,United-States,<=50K -40,Private,116218,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -40,Private,143069,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -41,Local-gov,235951,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -57,Private,112840,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -65,Local-gov,146454,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1648,4,Greece,<=50K -52,Federal-gov,43705,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -59,Private,122283,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,99999,0,40,India,>50K -18,Private,376647,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,2176,0,25,United-States,<=50K -48,Private,101299,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -45,Private,96798,5th-6th,3,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -24,Private,194654,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -27,State-gov,206889,Assoc-acdm,12,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,226902,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -44,State-gov,150755,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,5013,0,40,United-States,<=50K -24,Private,200679,HS-grad,9,Never-married,Farming-fishing,Own-child,Black,Male,0,0,50,United-States,<=50K -71,Private,183678,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,16,United-States,<=50K -17,Private,33138,12th,8,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -57,Self-emp-not-inc,57071,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,40,United-States,<=50K -71,?,35303,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,9386,0,30,United-States,>50K -37,Private,188576,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -33,Private,169496,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,58124,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,356344,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -42,Self-emp-not-inc,444134,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,15,United-States,<=50K -18,?,340117,11th,7,Never-married,?,Unmarried,Black,Female,0,0,50,United-States,<=50K -34,Private,219619,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,?,334585,10th,6,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -27,Local-gov,331046,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -46,?,443179,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,8,United-States,<=50K -64,?,239529,11th,7,Widowed,?,Not-in-family,White,Female,3674,0,35,United-States,<=50K -24,Private,100345,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -23,Private,205653,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -33,Private,112383,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -58,Self-emp-inc,21626,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,2202,0,56,United-States,<=50K -25,Private,135568,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,190532,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K -53,Federal-gov,266598,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -38,Local-gov,116608,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K -36,Private,353263,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K -25,State-gov,157617,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Federal-gov,21698,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,77143,12th,8,Separated,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K -18,State-gov,342852,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,176602,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -26,Private,146343,Some-college,10,Married-civ-spouse,Sales,Wife,Black,Female,0,0,40,United-States,<=50K -68,?,146645,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,20051,0,50,United-States,>50K -33,Private,221966,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,2202,0,50,United-States,<=50K -22,Private,215546,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K -50,State-gov,173020,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,?,247734,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -44,Private,252202,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,497300,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,426431,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Federal-gov,162410,Some-college,10,Widowed,Tech-support,Not-in-family,White,Female,0,0,45,United-States,>50K -77,?,143516,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,>50K -25,Private,190350,10th,6,Married-civ-spouse,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -20,Private,194504,Some-college,10,Separated,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -46,Federal-gov,110884,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -26,Private,187652,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,81400,1st-4th,2,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,El-Salvador,<=50K -70,?,97831,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,4,United-States,<=50K -57,Private,180920,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -28,Private,189186,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,?,144172,Assoc-acdm,12,Married-civ-spouse,?,Wife,White,Female,0,0,16,United-States,<=50K -36,Private,607848,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,45,United-States,>50K -32,Private,207301,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,293073,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -36,Private,210452,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,45,United-States,<=50K -19,Private,41400,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -27,Private,164170,Bachelors,13,Never-married,Tech-support,Unmarried,Asian-Pac-Islander,Female,0,0,20,Philippines,<=50K -48,Private,112906,Masters,14,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K -49,Self-emp-not-inc,126268,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -55,Private,208311,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,20,United-States,>50K -61,Private,28291,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Female,0,0,82,United-States,<=50K -42,Local-gov,121998,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -42,Federal-gov,31621,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Local-gov,108386,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,134727,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,208391,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -35,Private,112271,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -30,Private,173350,Assoc-voc,11,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,243190,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,20,India,>50K -55,Private,185436,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -36,Private,290409,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,80058,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,48,United-States,<=50K -56,Local-gov,370045,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -26,Private,36936,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2002,40,United-States,<=50K -37,Private,231180,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,119793,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,60,United-States,<=50K -38,Private,102178,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -76,?,135039,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -35,?,317780,Some-college,10,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -48,Private,232840,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,43,United-States,<=50K -35,Private,33975,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Local-gov,256997,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -64,Private,298301,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,310380,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -45,Local-gov,182100,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -27,Private,501172,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Mexico,<=50K -43,State-gov,143939,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,>50K -23,Private,85088,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,37,United-States,<=50K -25,Private,282313,10th,6,Never-married,Handlers-cleaners,Own-child,Black,Male,0,1602,40,United-States,<=50K -39,Private,230054,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -63,Private,236338,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,35,United-States,<=50K -37,Private,321943,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -26,Federal-gov,218782,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Other,Male,0,0,40,United-States,<=50K -33,Private,191385,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Canada,<=50K -45,Self-emp-inc,185497,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,70,?,<=50K -28,Private,126129,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,199268,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -34,Private,255693,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K -34,Private,203488,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,203233,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Private,203836,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -36,Private,187847,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -38,Private,116358,Some-college,10,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -46,Self-emp-inc,198660,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,72,United-States,>50K -43,Self-emp-not-inc,89636,Bachelors,13,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,0,60,South,<=50K -49,Private,120629,Some-college,10,Widowed,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -26,Local-gov,150226,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K -28,Private,137898,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -54,Self-emp-inc,146574,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -53,Private,88725,HS-grad,9,Never-married,Craft-repair,Not-in-family,Other,Female,0,0,40,?,<=50K -24,Private,142022,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K -23,Private,284898,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,30,United-States,<=50K -55,Local-gov,212448,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Self-emp-not-inc,203039,9th,5,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,227489,HS-grad,9,Never-married,Tech-support,Other-relative,Black,Male,0,0,40,?,<=50K -19,Private,105289,10th,6,Never-married,Other-service,Other-relative,Black,Female,0,0,20,United-States,<=50K -28,?,223745,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,242994,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,52,United-States,<=50K -30,Private,196385,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -76,Private,116202,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,33,United-States,<=50K -47,Private,140045,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,133503,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,2174,0,40,United-States,<=50K -40,Private,226585,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K -24,Private,85041,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -30,Private,162442,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,50,United-States,>50K -67,Private,279980,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,10605,0,10,United-States,>50K -24,Private,216563,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -43,Local-gov,231964,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,263855,12th,8,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -40,Private,124915,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -61,Federal-gov,178312,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -45,Local-gov,215862,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,45,United-States,>50K -21,State-gov,39236,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,50,United-States,<=50K -58,Private,349910,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -52,Private,75839,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,176711,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,266525,Some-college,10,Never-married,Prof-specialty,Other-relative,Black,Female,594,0,20,United-States,<=50K -25,?,34307,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,331776,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,111469,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,State-gov,198965,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -25,Private,288185,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -21,Private,198050,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -65,Private,242580,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,11678,0,50,United-States,>50K -37,Private,173128,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,87905,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,10520,0,40,United-States,>50K -44,Private,173704,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -37,Federal-gov,93225,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,40,United-States,>50K -38,Private,323269,Some-college,10,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K -35,Private,158046,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5013,0,70,United-States,<=50K -32,Private,133503,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,172296,Some-college,10,Separated,Sales,Unmarried,White,Male,0,0,60,United-States,<=50K -39,?,201105,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,30,United-States,<=50K -23,Private,176486,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,25,United-States,<=50K -25,Self-emp-inc,182750,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,>50K -23,Private,82497,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,28,United-States,<=50K -47,Private,208872,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,145269,11th,7,Divorced,Craft-repair,Not-in-family,White,Female,0,0,45,United-States,<=50K -25,Private,19214,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,149347,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -68,?,53850,7th-8th,4,Married-civ-spouse,?,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -50,Private,158294,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,3103,0,40,United-States,>50K -47,Private,152073,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,189623,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -24,Private,341368,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,201603,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,2176,0,40,United-States,<=50K -35,Private,270572,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -30,Private,285295,Bachelors,13,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -17,Private,126779,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K -49,?,202874,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,40,Columbia,<=50K -27,Private,373499,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,60,El-Salvador,<=50K -22,Private,244773,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,15,United-States,<=50K -22,State-gov,96862,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -50,Private,162632,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,2,United-States,<=50K -51,Self-emp-not-inc,159755,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,>50K -27,Private,37088,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,30,United-States,<=50K -27,Private,335421,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -23,Never-worked,188535,7th-8th,4,Divorced,?,Not-in-family,White,Male,0,0,35,United-States,<=50K -20,State-gov,349365,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,33002,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K -32,Private,330715,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K -45,Private,146857,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K -35,Private,275522,7th-8th,4,Widowed,Other-service,Unmarried,White,Female,0,0,80,United-States,<=50K -22,Private,43646,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,154548,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -28,Private,47907,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,238397,Bachelors,13,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,24,United-States,<=50K -48,Local-gov,195949,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,42,United-States,>50K -22,?,354351,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,349169,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -25,Private,158662,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,50,United-States,>50K -23,Local-gov,23438,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,107302,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -43,Private,174196,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -49,Local-gov,226871,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K -23,Private,124971,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Private,214061,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,441700,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -44,Self-emp-inc,104892,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,58,United-States,>50K -34,Private,234386,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Local-gov,188278,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,244395,11th,7,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Private,30916,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -48,Private,219565,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,377486,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,36,United-States,<=50K -42,Local-gov,137232,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Female,0,0,50,United-States,<=50K -53,Private,233369,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,71067,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K -59,Private,195176,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,72,United-States,<=50K -31,Private,98639,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -34,Private,183778,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,123011,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,2559,50,United-States,>50K -25,Private,164938,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,4416,0,40,United-States,<=50K -28,?,147471,HS-grad,9,Divorced,?,Own-child,White,Female,0,0,10,United-States,<=50K -30,Private,206046,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,40,United-States,>50K -46,Private,81497,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,48,United-States,<=50K -45,Private,189225,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,141264,Some-college,10,Never-married,Exec-managerial,Other-relative,Black,Female,0,0,40,United-States,<=50K -33,Private,97939,Assoc-acdm,12,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,42,United-States,<=50K -44,Private,160829,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,20,United-States,>50K -25,Private,483822,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,El-Salvador,<=50K -48,State-gov,148738,Some-college,10,Divorced,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,289982,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Self-emp-not-inc,58702,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,3103,0,50,United-States,>50K -20,Private,146706,Some-college,10,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,30,United-States,<=50K -23,Private,420973,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -71,Private,124959,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,State-gov,121471,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,198237,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -27,Private,280758,11th,7,Never-married,Craft-repair,Other-relative,White,Male,0,0,60,United-States,<=50K -40,Private,191544,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -30,Private,261023,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,50,United-States,<=50K -30,State-gov,231043,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,340917,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,167140,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,40,United-States,<=50K -39,Private,370795,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -39,Federal-gov,209609,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -74,Private,209454,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -32,Self-emp-inc,78530,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -25,Private,88922,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -64,Private,86972,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,165468,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K -37,Private,134367,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,37,United-States,>50K -47,Private,199058,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -33,Private,183612,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -40,Private,191982,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K -22,Private,514033,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,80,United-States,<=50K -56,Private,172364,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,190105,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,55,United-States,<=50K -30,Self-emp-inc,119422,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -20,Private,236592,12th,8,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,Italy,<=50K -53,State-gov,43952,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,38,United-States,>50K -43,Private,194636,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -23,Private,235853,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,150528,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -30,Private,213722,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,41432,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,46,United-States,<=50K -22,Private,285775,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,470663,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -54,Self-emp-not-inc,114520,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,113466,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,224559,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -59,Private,186385,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -28,?,167094,10th,6,Divorced,?,Not-in-family,White,Male,0,0,50,United-States,<=50K -18,?,216508,12th,8,Never-married,?,Not-in-family,White,Male,0,0,25,United-States,<=50K -41,Local-gov,384236,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,181265,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K -58,Private,190997,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -24,Private,98287,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -39,Private,103456,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -28,Private,184723,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,1980,35,United-States,<=50K -25,Private,165622,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K -29,Private,101597,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,54,United-States,<=50K -53,Private,146378,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -63,Local-gov,152163,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -26,State-gov,106812,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -21,Private,148211,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,3674,0,50,United-States,<=50K -45,Private,187581,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -29,Private,135296,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -72,Local-gov,144515,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1258,40,United-States,<=50K -51,Private,210736,10th,6,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -21,Private,210165,9th,5,Married-spouse-absent,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,224584,Some-college,10,Divorced,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -38,Private,80771,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -46,Private,164733,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,41,United-States,<=50K -31,Self-emp-not-inc,119411,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,>50K -68,Local-gov,177596,10th,6,Separated,Other-service,Not-in-family,Black,Female,0,0,90,United-States,<=50K -43,?,396116,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,185251,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,173590,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,3,United-States,<=50K -56,Federal-gov,196307,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,?,293091,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,12,United-States,<=50K -36,Private,175232,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -21,Private,51047,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -21,Private,334618,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Female,99999,0,40,United-States,>50K -52,Local-gov,152795,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -56,Self-emp-inc,205601,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,70,United-States,>50K -52,Private,129177,Bachelors,13,Widowed,Other-service,Not-in-family,White,Female,0,2824,20,United-States,>50K -51,Self-emp-not-inc,121548,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K -29,Private,244566,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -36,Private,75073,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,55,United-States,<=50K -29,Private,179008,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K -21,Private,170800,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -58,Private,373344,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,127961,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,99392,Some-college,10,Divorced,Craft-repair,Not-in-family,Black,Female,0,0,45,United-States,<=50K -30,Private,392812,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,Germany,<=50K -29,Private,262478,HS-grad,9,Never-married,Farming-fishing,Own-child,Black,Male,0,0,30,United-States,<=50K -48,Self-emp-not-inc,32825,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Self-emp-not-inc,167380,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,203204,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,25,United-States,>50K -35,Federal-gov,105138,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -54,Private,145714,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,7688,0,25,United-States,>50K -24,Private,182276,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,United-States,<=50K -20,Private,275385,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,45,United-States,<=50K -30,Self-emp-not-inc,292472,Some-college,10,Married-civ-spouse,Sales,Husband,Amer-Indian-Eskimo,Male,0,0,55,United-States,>50K -19,Self-emp-not-inc,73514,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,30,United-States,<=50K -26,Private,199600,HS-grad,9,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K -38,Private,111499,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1977,99,United-States,>50K -25,Private,202560,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,99309,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -60,Local-gov,124987,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -30,Private,287986,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,119411,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,198668,7th-8th,4,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,117583,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,234664,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,?,114357,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,State-gov,176949,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,<=50K -33,Private,189710,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,Mexico,<=50K -65,Private,205309,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,24,United-States,<=50K -34,Private,195576,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -20,Private,216825,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,25,Mexico,<=50K -23,?,329174,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,197036,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,181291,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,1564,50,United-States,>50K -31,Private,206512,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -28,State-gov,38309,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,6849,0,40,United-States,<=50K -37,Private,312766,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Private,139671,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -66,Federal-gov,38621,Assoc-voc,11,Widowed,Other-service,Unmarried,Black,Female,3273,0,40,United-States,<=50K -31,Private,124827,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,77820,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -45,Federal-gov,56904,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,5013,0,45,United-States,<=50K -45,Private,190115,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -44,Private,106682,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -32,Local-gov,42596,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,143058,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,>50K -53,Private,102615,11th,7,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,Canada,<=50K -54,Private,139703,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,Germany,>50K -43,Private,240124,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,132565,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -49,Private,323798,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,3325,0,50,United-States,<=50K -52,Private,96359,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,57,United-States,>50K -20,Private,165201,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,4,United-States,<=50K -60,Federal-gov,165630,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,40,United-States,>50K -45,Private,264526,Assoc-acdm,12,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,102359,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,United-States,>50K -28,Private,37359,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -61,?,232618,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -48,Local-gov,115497,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,157747,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K -27,Self-emp-not-inc,41099,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -38,Private,472604,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,Mexico,<=50K -33,Private,348618,5th-6th,3,Married-spouse-absent,Transport-moving,Unmarried,Other,Male,0,0,20,El-Salvador,<=50K -43,Private,135606,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -36,Private,248445,HS-grad,9,Separated,Transport-moving,Other-relative,White,Male,0,0,60,Mexico,<=50K -38,Private,112093,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -24,Local-gov,197552,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,303822,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,288566,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,?,487411,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -46,Self-emp-not-inc,43348,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K -39,State-gov,239409,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K -50,Private,337606,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1485,40,United-States,<=50K -34,Private,32528,Assoc-voc,11,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,974,40,United-States,<=50K -47,State-gov,118447,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -46,Private,234690,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -23,?,141003,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K -43,Private,216042,Some-college,10,Divorced,Tech-support,Own-child,White,Female,0,1617,72,United-States,<=50K -45,Private,190482,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -55,Private,381965,Bachelors,13,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -68,Private,186943,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,8,United-States,<=50K -39,Private,142707,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,53447,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,127772,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,344414,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,194138,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -49,?,558183,Assoc-voc,11,Married-spouse-absent,?,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,150154,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,306114,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -72,?,177121,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,3,United-States,<=50K -58,Local-gov,368797,Masters,14,Widowed,Prof-specialty,Unmarried,White,Male,0,0,35,United-States,>50K -43,Self-emp-inc,175715,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,55,United-States,<=50K -62,Private,416829,11th,7,Separated,Other-service,Not-in-family,Black,Female,0,0,21,United-States,<=50K -21,Private,350001,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K -26,Private,339952,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -27,Private,114967,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,164190,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,38,United-States,>50K -49,Local-gov,166039,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,250135,HS-grad,9,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K -34,Self-emp-not-inc,234960,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,1887,48,United-States,>50K -29,Private,103628,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -58,Private,430005,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -45,Self-emp-inc,106517,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,162236,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Private,92430,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -52,Local-gov,40641,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -47,Private,169388,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,15,United-States,<=50K -36,Local-gov,410034,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -48,Private,237525,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,65,United-States,>50K -35,Private,150057,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -49,Private,148549,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -43,Private,75742,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -33,Private,177675,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Germany,>50K -49,Local-gov,193249,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,266072,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,20,El-Salvador,<=50K -28,?,80165,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -25,Private,339324,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -69,?,111238,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -41,Self-emp-not-inc,284086,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -31,Private,206051,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -57,Private,426263,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,>50K -49,Private,102583,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,44,United-States,>50K -40,Private,277647,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -55,Private,124808,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,Germany,>50K -47,Private,193061,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -50,Private,121411,12th,8,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,89202,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,United-States,<=50K -17,Private,232900,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -30,Local-gov,319280,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -79,?,165209,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,193494,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -67,Self-emp-not-inc,195066,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,99146,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -35,Private,92028,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -27,Private,174419,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,57916,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,383384,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,198223,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,45,United-States,>50K -20,Private,109813,11th,7,Never-married,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K -17,Private,174298,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -40,Private,45687,Some-college,10,Divorced,Other-service,Not-in-family,Black,Male,4787,0,50,United-States,>50K -28,Private,263614,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -33,Private,96128,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -55,Private,220262,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Self-emp-not-inc,35340,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -47,Private,280483,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K -52,Self-emp-inc,254211,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K -29,Private,351324,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,58602,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -37,Private,64922,Bachelors,13,Separated,Other-service,Not-in-family,White,Male,0,0,70,England,<=50K -41,Federal-gov,185616,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,1980,40,United-States,<=50K -43,Private,185832,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K -24,Private,254767,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,2105,0,50,United-States,<=50K -39,Federal-gov,32312,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -47,Self-emp-not-inc,109421,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -42,Private,183205,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -39,Private,156897,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,2258,42,United-States,>50K -48,Local-gov,145886,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,<=50K -47,Local-gov,29819,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1977,50,United-States,>50K -27,Private,244566,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,253801,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Ecuador,<=50K -22,Private,181313,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -37,State-gov,150566,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K -38,Private,237713,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -32,Private,112137,Preschool,1,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,4508,0,40,Cambodia,<=50K -48,Local-gov,187969,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,80,United-States,<=50K -46,Self-emp-not-inc,224108,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K -51,Private,174754,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,38,United-States,<=50K -28,Self-emp-inc,219705,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,55,United-States,<=50K -35,Private,167062,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,190325,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K -45,Private,108859,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,344351,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -73,Private,153127,Some-college,10,Widowed,Priv-house-serv,Unmarried,White,Female,0,0,10,United-States,<=50K -52,Private,180881,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,183066,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -29,Federal-gov,339002,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -31,Private,185480,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,?,>50K -20,Private,172047,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,10,United-States,<=50K -42,Private,94600,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -37,Private,302604,Some-college,10,Separated,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -40,Private,248094,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,36467,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -29,Private,53181,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -20,Private,181032,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,248990,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -25,Private,40512,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,3674,0,30,United-States,<=50K -37,Private,117381,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,80,United-States,>50K -18,?,173125,12th,8,Never-married,?,Own-child,White,Female,0,0,24,United-States,<=50K -33,?,316663,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,50,United-States,<=50K -26,Private,154966,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -24,Private,198259,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -33,Private,167939,HS-grad,9,Married-civ-spouse,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -23,Private,131275,HS-grad,9,Never-married,Craft-repair,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -20,?,236523,10th,6,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -36,Private,272950,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -37,Private,174503,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -24,Private,116800,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,35,United-States,<=50K -38,Private,110713,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -50,Private,202044,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K -44,Private,300528,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -46,Private,54985,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K -57,Private,133126,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Female,0,0,40,United-States,<=50K -37,Private,74593,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K -44,Private,302424,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,55,United-States,<=50K -21,Private,344492,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -31,Private,349148,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -32,Private,222221,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,42,United-States,>50K -45,Private,234699,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,60,United-States,>50K -20,Local-gov,243178,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -52,Private,189728,HS-grad,9,Separated,Priv-house-serv,Not-in-family,White,Female,0,0,50,United-States,<=50K -47,Self-emp-not-inc,318593,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K -41,Private,108681,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -40,Private,187376,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -41,State-gov,75409,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -46,Private,172581,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -49,Private,266150,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -65,Private,271092,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,?,<=50K -50,Private,135643,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Female,0,0,40,China,<=50K -59,Private,46466,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -18,Private,130652,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -47,Local-gov,114459,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K -47,?,109832,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,5178,0,30,Canada,>50K -45,Private,195554,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -17,Private,244589,11th,7,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -45,Self-emp-inc,271901,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,32,United-States,>50K -73,Private,139978,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,180446,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -64,?,178724,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K -38,State-gov,341643,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -37,Federal-gov,289653,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -62,Self-emp-inc,118725,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,20051,0,72,United-States,>50K -26,Private,187891,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -46,Self-emp-inc,116338,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -46,Private,102771,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,40,United-States,>50K -51,Private,89652,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,4787,0,24,United-States,>50K -54,Federal-gov,439608,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,Private,330144,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,251905,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -37,Private,218955,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,188972,Doctorate,16,Separated,Prof-specialty,Unmarried,White,Female,0,0,10,Canada,<=50K -60,Self-emp-not-inc,25825,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K -33,Private,202046,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,2001,40,United-States,<=50K -62,Private,116104,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,Germany,<=50K -20,Private,194891,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,125550,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,14084,0,35,United-States,>50K -66,Private,116468,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,2936,0,20,United-States,<=50K -32,?,285131,Assoc-acdm,12,Never-married,?,Unmarried,White,Male,0,0,20,United-States,<=50K -29,State-gov,409201,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -70,Self-emp-inc,379819,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,10566,0,40,United-States,<=50K -74,Private,97167,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,15,United-States,<=50K -37,Local-gov,244803,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K -51,Self-emp-not-inc,115851,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,118058,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -42,Private,258589,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K -26,Private,158810,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,<=50K -27,Local-gov,92431,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,2231,40,United-States,>50K -58,Self-emp-not-inc,165695,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,<=50K -30,?,97281,Some-college,10,Separated,?,Not-in-family,White,Male,0,0,60,United-States,<=50K -32,Private,244147,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,1876,50,United-States,<=50K -66,Self-emp-inc,253741,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1825,10,United-States,>50K -23,Private,170482,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K -35,Private,241001,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,<=50K -50,Private,165001,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -17,?,297117,11th,7,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,340260,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,48,United-States,<=50K -31,Private,96480,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -30,Private,185177,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,49,United-States,<=50K -84,Self-emp-inc,172907,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K -35,Self-emp-not-inc,308874,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,54098,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -46,Private,288608,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -50,Local-gov,254148,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -37,Private,111128,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,171116,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -53,Self-emp-inc,96062,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,48,United-States,>50K -27,Federal-gov,276776,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -22,Private,152878,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,149211,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,58343,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K -38,Private,127601,Some-college,10,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,35,United-States,<=50K -29,Private,357781,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,137367,Some-college,10,Never-married,Handlers-cleaners,Other-relative,Asian-Pac-Islander,Male,0,0,44,Philippines,<=50K -34,Private,110978,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -31,Private,34503,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -30,Private,84119,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,40,United-States,<=50K -20,Private,223515,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,372525,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,0,0,48,United-States,<=50K -32,Private,116365,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K -36,Private,111268,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -54,Private,225599,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,7298,0,40,India,>50K -78,?,83511,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,Portugal,<=50K -46,Self-emp-not-inc,199596,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -18,Private,301867,HS-grad,9,Never-married,Sales,Own-child,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K -57,Private,191983,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,105803,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,456236,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -45,Private,116255,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -32,Private,235109,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Federal-gov,91716,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,121102,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,2001,30,United-States,<=50K -70,Private,235781,Some-college,10,Divorced,Farming-fishing,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -40,Private,136986,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -40,Self-emp-not-inc,33658,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,53878,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -29,Private,200928,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -24,Private,173736,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K -28,Private,214385,Assoc-voc,11,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K -58,Private,102509,10th,6,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,50,United-States,<=50K -38,Private,173047,Bachelors,13,Divorced,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,213,40,Philippines,<=50K -59,Self-emp-not-inc,241297,Some-college,10,Widowed,Farming-fishing,Not-in-family,White,Female,6849,0,40,United-States,<=50K -18,Private,329054,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -40,Private,274158,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -39,Self-emp-inc,241153,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,200117,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,1887,50,?,>50K -45,Private,229516,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,72,Mexico,<=50K -62,?,250091,Bachelors,13,Divorced,?,Not-in-family,White,Male,0,0,5,United-States,<=50K -24,State-gov,247075,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,20,United-States,<=50K -22,Private,315524,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,30,Dominican-Republic,<=50K -23,Private,126945,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,29874,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,>50K -28,Private,115579,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,0,0,38,United-States,<=50K -51,Private,29580,11th,7,Married-civ-spouse,Sales,Husband,White,Male,4386,0,30,United-States,>50K -44,Private,56483,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,37,United-States,<=50K -73,?,89852,1st-4th,2,Married-civ-spouse,?,Husband,White,Male,0,0,40,Portugal,<=50K -24,Private,420779,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,35,United-States,<=50K -24,Private,255474,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,241444,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,50,Puerto-Rico,<=50K -43,Private,85995,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -67,Self-emp-inc,116986,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -31,Private,217962,12th,8,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,?,<=50K -36,Private,20507,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,50,United-States,>50K -43,Private,184099,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,117816,7th-8th,4,Divorced,Handlers-cleaners,Other-relative,White,Male,0,0,70,United-States,<=50K -23,Private,263899,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,Haiti,<=50K -26,Private,45869,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,186539,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,326310,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -55,Local-gov,84564,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,39,United-States,<=50K -49,Private,247294,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -34,Private,72793,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -29,Private,261375,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,60,United-States,<=50K -50,Private,77905,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K -19,Private,66838,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,9,United-States,<=50K -63,State-gov,194682,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -66,Private,180211,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,30,Philippines,<=50K -65,?,79272,Some-college,10,Widowed,?,Not-in-family,Asian-Pac-Islander,Female,0,0,6,United-States,<=50K -60,Private,101198,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -60,Private,80574,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K -19,Private,198663,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -26,Self-emp-inc,160340,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -75,Self-emp-not-inc,205860,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,1735,40,United-States,<=50K -58,State-gov,69579,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -18,Self-emp-not-inc,379242,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -65,Private,113323,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,3818,0,40,United-States,<=50K -50,Self-emp-not-inc,312477,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K -26,Private,259505,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -45,Federal-gov,171335,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -19,?,541282,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -29,Federal-gov,155970,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -52,Private,99682,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,52,Canada,>50K -23,Private,117789,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -21,Private,296158,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -48,Local-gov,78859,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -59,?,188070,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,>50K -50,Private,189811,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -41,State-gov,518030,Bachelors,13,Never-married,Protective-serv,Not-in-family,Black,Male,0,1590,40,Puerto-Rico,<=50K -32,Private,360593,HS-grad,9,Divorced,Sales,Unmarried,Black,Female,0,0,30,United-States,<=50K -40,Private,145504,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K -19,Private,459248,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -30,?,288419,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,40,Mexico,<=50K -42,State-gov,126094,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Male,0,0,39,United-States,<=50K -23,Private,209483,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,50,United-States,<=50K -37,Self-emp-not-inc,32239,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,27828,0,40,United-States,>50K -21,Private,210355,11th,7,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,24,United-States,<=50K -28,Private,84547,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -50,?,260579,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K -20,Private,105585,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K -21,Private,132320,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -21,Private,129172,Some-college,10,Never-married,Other-service,Other-relative,White,Male,0,0,16,United-States,<=50K -45,Self-emp-not-inc,222374,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Self-emp-inc,201498,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -53,Self-emp-inc,251675,Some-college,10,Divorced,Sales,Not-in-family,White,Male,8614,0,50,Cuba,>50K -41,Private,114157,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -48,Local-gov,148121,Bachelors,13,Married-spouse-absent,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -73,?,84053,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,15,United-States,<=50K -34,Private,96480,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,179423,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -58,State-gov,123329,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,16,United-States,<=50K -41,Private,134130,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -53,Private,188644,Preschool,1,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -40,Private,226388,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,209205,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -32,Private,209808,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1740,47,United-States,<=50K -44,Self-emp-inc,56236,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,2202,0,45,United-States,<=50K -18,Private,28648,11th,7,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -37,State-gov,34996,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,281422,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,45,United-States,<=50K -22,Private,214716,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -28,Private,314177,10th,6,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K -51,Private,112310,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -63,Private,203783,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,72,United-States,<=50K -29,Private,205499,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,<=50K -44,Private,145441,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,48,United-States,>50K -44,Private,155701,7th-8th,4,Separated,Other-service,Unmarried,White,Female,0,0,38,Peru,<=50K -37,State-gov,186934,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -62,Federal-gov,209433,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -31,Private,80933,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K -20,Private,102607,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -48,Private,254809,10th,6,Divorced,Machine-op-inspct,Unmarried,White,Female,0,1594,32,United-States,<=50K -24,Self-emp-not-inc,102942,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -56,State-gov,175057,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -36,Federal-gov,68781,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K -29,Private,108594,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,98283,Prof-school,15,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,1564,40,India,>50K -39,Private,56269,Some-college,10,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -29,Private,152503,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,45,United-States,<=50K -38,Self-emp-inc,206951,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K -23,Private,82393,9th,5,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,20,Philippines,<=50K -37,Private,167396,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Guatemala,<=50K -30,Self-emp-not-inc,123397,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -58,?,147653,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,36,United-States,<=50K -42,Private,118652,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -59,Local-gov,114401,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,1504,19,United-States,<=50K -45,Private,186272,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,7298,0,40,United-States,>50K -46,Private,182689,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,231016,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,4650,0,37,United-States,<=50K -41,Self-emp-inc,60949,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K -49,Private,129513,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -37,Private,84306,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,117507,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -22,Private,88050,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,6,United-States,<=50K -22,Private,305498,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,33,United-States,<=50K -17,Private,295308,11th,7,Never-married,Priv-house-serv,Own-child,White,Female,0,0,20,United-States,<=50K -47,Private,114459,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -17,Private,176017,10th,6,Never-married,Other-service,Other-relative,White,Male,0,0,15,United-States,<=50K -39,Private,248445,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -23,Private,214542,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -41,Private,384508,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -36,Federal-gov,403489,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -52,Private,143953,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -21,Private,254904,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,30,United-States,<=50K -33,Private,98995,10th,6,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,36,United-States,<=50K -17,?,237078,11th,7,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -41,Private,193995,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K -19,Private,205829,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -38,Federal-gov,205852,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,>50K -24,Private,37072,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,275338,Bachelors,13,Divorced,Sales,Unmarried,White,Female,1151,0,40,United-States,<=50K -39,State-gov,122353,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -19,Private,100009,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -31,?,37030,Assoc-acdm,12,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -42,Private,135056,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -36,Private,135162,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,45,?,<=50K -29,Private,280618,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,226717,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -47,Local-gov,173938,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -24,Private,291355,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -61,Federal-gov,160155,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Self-emp-not-inc,29762,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -31,?,82473,9th,5,Divorced,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -59,Private,172071,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,38,Jamaica,<=50K -29,Private,166210,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,55,United-States,<=50K -26,Private,330263,HS-grad,9,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,247043,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -56,Federal-gov,155238,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -25,Private,130557,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,56986,12th,8,Never-married,Sales,Own-child,White,Female,0,0,18,United-States,<=50K -29,Private,220692,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -23,Private,121650,5th-6th,3,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,30,United-States,<=50K -67,Private,174603,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -29,Private,341846,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -33,Private,99339,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,880,40,United-States,<=50K -32,Private,34437,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,141058,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,62,Mexico,<=50K -49,Private,192323,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,117674,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K -39,Private,28572,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,120277,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,164309,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -47,Federal-gov,102771,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -27,Private,147951,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,1,United-States,<=50K -23,Private,188409,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,4508,0,25,United-States,<=50K -44,Private,173888,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,>50K -25,Private,247006,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -23,Private,82889,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K -52,Private,259363,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -62,Federal-gov,159165,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,36,United-States,<=50K -31,Private,112062,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,299050,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -22,?,186452,Some-college,10,Never-married,?,Own-child,White,Male,0,0,36,United-States,<=50K -53,Private,548580,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Guatemala,<=50K -25,Private,234057,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,241350,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -69,Private,108196,9th,5,Never-married,Craft-repair,Other-relative,White,Male,2993,0,40,United-States,<=50K -49,Private,278322,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Private,157443,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,27,Taiwan,>50K -44,Self-emp-not-inc,37618,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -56,Local-gov,238582,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,United-States,>50K -37,State-gov,28887,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -37,Private,77820,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -22,Private,110946,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Local-gov,230420,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -36,Private,206521,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,?,156877,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,20,United-States,<=50K -28,Local-gov,283227,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K -28,Private,141957,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,58337,10th,6,Never-married,Sales,Unmarried,White,Female,0,0,35,?,<=50K -73,Local-gov,161027,5th-6th,3,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,20,United-States,<=50K -37,Self-emp-not-inc,31670,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -24,Private,205844,Bachelors,13,Never-married,Exec-managerial,Own-child,Black,Female,0,0,65,United-States,<=50K -30,State-gov,46144,HS-grad,9,Married-AF-spouse,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K -38,Private,168055,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,98350,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -69,?,182668,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,>50K -43,Private,208613,Prof-school,15,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,99999,0,40,United-States,>50K -42,Private,334522,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -54,State-gov,187686,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -27,State-gov,365916,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,58,United-States,<=50K -39,Private,190719,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -27,Private,218184,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,Jamaica,<=50K -30,Private,222162,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,66,United-States,<=50K -30,Private,148524,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2057,40,United-States,<=50K -37,Private,267085,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Federal-gov,307555,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K -36,Private,229180,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,Cuba,<=50K -22,Private,279041,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,10,United-States,<=50K -21,Private,312017,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,54782,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1579,42,United-States,<=50K -76,Private,70697,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -22,?,263970,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,28,United-States,<=50K -37,Private,188774,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,302770,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -29,Private,183639,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,97,United-States,<=50K -29,Private,178551,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,175343,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -73,Self-emp-not-inc,190078,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -43,Private,117627,Some-college,10,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -39,Private,108419,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -74,Private,183701,10th,6,Widowed,Other-service,Not-in-family,Black,Female,0,0,6,United-States,<=50K -27,State-gov,208406,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -47,Private,148884,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -90,Private,87285,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -47,Private,199058,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -42,Private,173628,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -69,Private,370837,Bachelors,13,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,?,179484,12th,8,Never-married,?,Own-child,Other,Male,0,0,40,United-States,<=50K -23,Private,342769,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,20,United-States,<=50K -44,Local-gov,65145,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -41,Private,150533,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,2829,0,40,United-States,<=50K -47,Local-gov,272182,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -43,Private,403467,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,7688,0,40,United-States,>50K -33,Private,252168,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -48,Private,80430,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -39,Private,189623,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,60,United-States,<=50K -43,Private,115806,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,2547,40,United-States,>50K -18,?,28357,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -52,Private,226084,HS-grad,9,Widowed,Priv-house-serv,Other-relative,White,Female,0,0,40,United-States,<=50K -18,Private,150817,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -27,Self-emp-inc,190911,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K -27,Self-emp-inc,120126,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,45,United-States,>50K -45,Local-gov,255559,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -79,?,142370,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -24,Private,173679,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -25,Private,35854,Some-college,10,Married-spouse-absent,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Self-emp-not-inc,82161,10th,6,Widowed,Transport-moving,Unmarried,White,Male,0,0,35,United-States,<=50K -63,Self-emp-not-inc,129845,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,226505,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,46,United-States,>50K -47,Private,151584,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K -42,Private,136419,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -42,Private,66460,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -63,Local-gov,379940,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -37,Local-gov,102936,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,55,United-States,<=50K -65,Private,205309,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,20,United-States,<=50K -30,?,156890,10th,6,Divorced,?,Unmarried,White,Male,0,0,40,United-States,<=50K -62,Private,208711,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,50,United-States,>50K -46,Private,137547,HS-grad,9,Divorced,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -23,Private,220168,HS-grad,9,Never-married,Sales,Other-relative,Black,Female,0,0,25,Jamaica,<=50K -47,Local-gov,37672,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,<=50K -20,Private,196643,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -21,?,355686,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K -28,Private,197484,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -61,Local-gov,115023,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -30,State-gov,234824,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,72,United-States,<=50K -30,State-gov,361497,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,>50K -29,Private,351871,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -39,Private,324231,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,123490,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -32,Private,188245,11th,7,Never-married,Priv-house-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K -63,Private,50349,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,34,United-States,<=50K -19,Self-emp-not-inc,47176,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,15,United-States,<=50K -57,State-gov,290661,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K -41,Private,221172,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -23,Private,188950,Assoc-voc,11,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,356882,Doctorate,16,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -43,Self-emp-inc,150533,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -64,Self-emp-not-inc,167149,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K -56,Private,301835,5th-6th,3,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,313729,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,130957,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -17,Private,197732,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -17,Private,250541,10th,6,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K -29,Private,218785,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,65,United-States,<=50K -23,?,232512,HS-grad,9,Separated,?,Own-child,White,Female,0,0,40,United-States,<=50K -37,Private,194630,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -39,Private,38721,HS-grad,9,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,22,United-States,<=50K -36,Private,201519,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -50,Private,279337,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K -41,?,27187,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,2415,12,United-States,>50K -31,Private,87560,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,50,United-States,<=50K -71,?,100820,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,2489,15,United-States,<=50K -56,Private,208431,Some-college,10,Widowed,Exec-managerial,Not-in-family,Black,Female,0,0,32,United-States,<=50K -51,Private,143822,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -20,Private,163205,Some-college,10,Separated,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -53,Private,171924,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,14344,0,55,United-States,>50K -33,State-gov,137616,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,35,United-States,<=50K -27,Private,156516,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,2377,20,United-States,<=50K -40,Private,119101,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -45,Private,117556,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,32,United-States,<=50K -54,Private,147863,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,5013,0,40,Vietnam,<=50K -33,Self-emp-not-inc,24504,HS-grad,9,Separated,Craft-repair,Other-relative,White,Male,0,0,50,United-States,<=50K -27,?,157624,HS-grad,9,Separated,?,Other-relative,White,Female,0,0,40,United-States,<=50K -36,Private,181721,10th,6,Never-married,Farming-fishing,Own-child,Black,Male,0,0,60,United-States,<=50K -42,Local-gov,55363,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -33,Private,92865,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,258633,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,?,<=50K -52,Federal-gov,221532,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -41,Local-gov,183224,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,Taiwan,>50K -30,Private,381153,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,300871,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,33710,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,60,United-States,>50K -26,Private,158333,5th-6th,3,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,Columbia,<=50K -36,Private,288103,11th,7,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -35,Private,108907,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -46,Private,358533,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K -24,Private,126613,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,8,United-States,<=50K -30,Private,164190,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,52,United-States,>50K -38,Private,199816,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,98228,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K -41,Local-gov,129060,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -38,Private,22245,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -36,Private,226918,Bachelors,13,Never-married,Sales,Not-in-family,Black,Male,0,0,48,United-States,<=50K -47,Private,398652,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -59,Private,268840,Some-college,10,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,16,United-States,>50K -35,?,103710,Bachelors,13,Divorced,?,Unmarried,White,Female,0,0,16,?,<=50K -59,Private,91384,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -52,Private,174767,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -37,Self-emp-inc,126675,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -52,Private,82285,Bachelors,13,Married-spouse-absent,Other-service,Other-relative,Black,Female,0,0,40,Haiti,<=50K -51,Private,177727,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -67,Self-emp-not-inc,345236,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -58,?,347692,11th,7,Divorced,?,Not-in-family,Black,Male,0,0,15,United-States,<=50K -68,Private,156000,10th,6,Widowed,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -71,Private,228806,9th,5,Divorced,Priv-house-serv,Not-in-family,Black,Female,0,0,6,United-States,<=50K -49,Local-gov,184428,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -35,Local-gov,102938,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,161063,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,253752,10th,6,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,274800,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -31,Private,129804,9th,5,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -22,Federal-gov,65547,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -20,Private,107658,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,10,United-States,<=50K -57,Private,161097,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,26,United-States,<=50K -18,Private,118376,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -32,Private,131224,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,120985,HS-grad,9,Divorced,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,215392,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,63685,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,50,Cambodia,<=50K -48,Private,131826,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -39,Private,211440,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K -35,Private,31023,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -40,Private,145439,5th-6th,3,Married-civ-spouse,Other-service,Husband,Other,Male,4064,0,40,Mexico,<=50K -19,Private,255161,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K -28,Private,411950,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,275818,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,1974,40,United-States,<=50K -18,Private,318082,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -23,Local-gov,287988,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Local-gov,138342,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,3411,0,40,El-Salvador,<=50K -42,Federal-gov,115932,Bachelors,13,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,60358,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -17,Private,140117,10th,6,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K -34,Private,158040,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -30,Self-emp-inc,321990,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,?,>50K -29,Private,232784,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,349368,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -46,Federal-gov,325573,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -69,Private,140176,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,24,United-States,<=50K -50,Private,128478,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -19,?,318264,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -59,Private,147989,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,<=50K -45,Federal-gov,155659,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -41,State-gov,288433,Masters,14,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -47,Federal-gov,329205,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -64,Private,171373,11th,7,Widowed,Farming-fishing,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,228860,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -29,Private,196116,Prof-school,15,Divorced,Prof-specialty,Own-child,White,Female,2174,0,72,United-States,<=50K -17,Private,47771,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K -24,Private,201680,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,60,United-States,<=50K -28,Private,337378,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,246449,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,3325,0,50,United-States,<=50K -48,Private,227714,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -36,Private,177285,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,38,United-States,<=50K -38,Private,71701,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,Portugal,<=50K -49,Private,30219,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,1669,40,United-States,<=50K -42,Private,280167,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -36,Self-emp-inc,27408,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -25,Private,167031,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Columbia,<=50K -41,Private,173682,Masters,14,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,278557,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -32,Private,113688,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -41,Self-emp-not-inc,252986,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -48,Private,33669,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -56,Private,100776,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K -47,Self-emp-not-inc,177457,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -30,State-gov,312767,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -51,Private,43354,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -22,Self-emp-inc,375422,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,South,<=50K -49,Self-emp-not-inc,263568,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -67,?,74335,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,10,Germany,<=50K -26,Private,302097,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3464,0,48,United-States,<=50K -35,Private,248010,Bachelors,13,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -37,?,87369,9th,5,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,405577,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,State-gov,167065,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,102476,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -28,Federal-gov,526528,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,3887,0,40,United-States,<=50K -32,Private,175878,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -55,Private,213894,11th,7,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -17,Private,150262,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -40,Private,75363,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,272671,Bachelors,13,Divorced,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -67,Self-emp-inc,411007,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,15831,0,40,United-States,>50K -44,Private,222434,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,180246,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -25,Private,171236,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -45,Private,367037,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,304651,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -62,Private,97017,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -20,Private,146879,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,2001,40,United-States,<=50K -45,State-gov,320818,Some-college,10,Married-spouse-absent,Other-service,Other-relative,Black,Male,0,0,40,Haiti,<=50K -47,Self-emp-not-inc,84735,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K -49,Private,184428,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,326886,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -24,?,169624,HS-grad,9,Divorced,?,Unmarried,Black,Female,0,0,37,United-States,<=50K -29,Private,212102,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -23,Private,175837,11th,7,Never-married,Farming-fishing,Other-relative,White,Female,0,0,40,Puerto-Rico,<=50K -50,Private,177487,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,286750,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1902,40,United-States,>50K -44,Private,171424,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -32,Private,194981,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,36,United-States,<=50K -73,Private,199362,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -24,Private,204226,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,State-gov,72506,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K -61,Self-emp-inc,61040,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,36,United-States,>50K -37,Federal-gov,194630,Masters,14,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,391867,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -40,Private,94080,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -17,Private,289405,11th,7,Never-married,Machine-op-inspct,Own-child,Other,Male,0,0,12,United-States,<=50K -30,Private,170130,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,158118,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,1719,40,United-States,<=50K -30,Private,447739,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -90,?,39824,HS-grad,9,Widowed,?,Not-in-family,White,Male,401,0,4,United-States,<=50K -76,?,312500,5th-6th,3,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Private,223342,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,1504,35,United-States,<=50K -65,?,293385,Preschool,1,Married-civ-spouse,?,Husband,Black,Male,0,0,30,United-States,<=50K -25,Private,106377,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,66118,Bachelors,13,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -47,Private,274883,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -27,Local-gov,123773,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -42,Local-gov,70655,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -49,Private,177426,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -37,Private,200374,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -19,State-gov,159269,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K -24,Private,235894,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K -34,Local-gov,97723,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -33,Private,167309,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,98106,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Federal-gov,22201,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,7298,0,40,Philippines,>50K -45,Private,108993,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,265954,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -58,Self-emp-inc,100960,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -45,Private,170092,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -54,Private,326156,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -45,Private,216932,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -69,Private,36956,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,50,United-States,>50K -24,Private,214014,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -36,Private,99872,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K -61,State-gov,151459,10th,6,Never-married,Other-service,Not-in-family,Black,Female,0,0,38,United-States,<=50K -57,Self-emp-inc,161662,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K -56,Private,367200,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -35,Private,86648,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,45,United-States,>50K -51,Local-gov,168539,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -50,Private,140741,11th,7,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K -25,Private,197651,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,43,United-States,<=50K -46,Private,123053,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,Japan,>50K -23,Private,330571,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -44,Private,204235,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -38,State-gov,346766,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -35,?,257250,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,163396,Some-college,10,Never-married,Tech-support,Not-in-family,Other,Female,0,0,40,United-States,<=50K -78,?,135839,HS-grad,9,Widowed,?,Not-in-family,White,Female,1086,0,20,United-States,<=50K -18,Private,36251,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -40,Private,149102,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,2174,0,60,Poland,<=50K -61,?,222395,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -31,State-gov,29152,12th,8,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -33,Private,79303,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -35,Private,272338,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -55,State-gov,200497,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -19,Private,148392,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -31,Private,164243,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1579,40,United-States,<=50K -43,State-gov,129298,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -49,Local-gov,174981,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,47,United-States,>50K -48,Local-gov,328610,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -27,Private,77774,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,34,United-States,<=50K -38,State-gov,134069,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,United-States,>50K -35,Private,209214,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,4386,0,35,United-States,>50K -29,Private,153805,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Other,Male,0,0,40,Ecuador,<=50K -27,Private,168827,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,2,United-States,<=50K -31,Private,373432,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K -26,Private,57600,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -53,Self-emp-not-inc,302847,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -23,Private,227594,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -32,Federal-gov,44777,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,46,United-States,<=50K -54,?,133963,HS-grad,9,Widowed,?,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,279615,Bachelors,13,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,276133,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -62,Private,136314,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -41,Private,204410,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,44,United-States,>50K -59,Self-emp-inc,223215,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -43,Private,184625,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -34,Self-emp-inc,265917,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -27,Private,158647,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,22055,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K -41,Local-gov,176716,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -42,Private,270721,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,32,United-States,<=50K -24,Private,100321,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K -35,Private,79050,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Male,0,0,72,United-States,<=50K -40,Local-gov,42703,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -46,Private,116952,7th-8th,4,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,<=50K -45,Private,331643,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -33,Private,207937,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1092,40,United-States,<=50K -68,Private,223486,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,7,England,<=50K -33,Private,340332,Bachelors,13,Separated,Exec-managerial,Not-in-family,Black,Female,0,0,45,United-States,<=50K -23,Private,184813,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -42,Self-emp-not-inc,32185,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -30,Private,197886,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,>50K -35,State-gov,248374,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -40,Private,382499,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K -36,State-gov,108320,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,5455,0,30,United-States,<=50K -46,Self-emp-inc,161386,9th,5,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,50,United-States,<=50K -49,Local-gov,110172,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,144032,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -26,Private,224426,Masters,14,Never-married,Exec-managerial,Own-child,White,Male,0,0,38,United-States,<=50K -37,Private,230408,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,20,United-States,<=50K -50,Local-gov,20795,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -20,Private,174714,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -59,State-gov,398626,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Male,25236,0,45,United-States,>50K -30,Private,149531,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,34113,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -44,Local-gov,323790,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -28,Private,331381,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,160647,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,Ireland,>50K -34,Private,339142,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -58,Private,164857,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,99,United-States,<=50K -33,Local-gov,267859,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,167725,Bachelors,13,Married-spouse-absent,Transport-moving,Not-in-family,Other,Male,0,0,84,India,<=50K -49,Federal-gov,586657,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -67,Self-emp-not-inc,105907,1st-4th,2,Widowed,Other-service,Not-in-family,Black,Female,0,0,20,United-States,<=50K -23,Private,200677,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,193882,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -54,Private,138026,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -49,Private,122385,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -35,Private,49020,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -26,Private,283715,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,286406,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,3325,0,40,United-States,<=50K -36,Private,166416,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,156334,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -35,Local-gov,45607,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K -40,Local-gov,112362,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,200419,Assoc-acdm,12,Separated,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -42,State-gov,341638,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -25,?,34161,12th,8,Separated,?,Unmarried,White,Female,0,0,30,United-States,<=50K -50,Self-emp-not-inc,127151,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,Canada,>50K -52,Private,321959,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,>50K -51,Local-gov,35211,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -19,Private,214935,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,132130,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -57,Private,222247,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -35,Private,165799,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -30,Private,257874,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -38,Private,357173,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,State-gov,305739,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,172047,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,110677,Some-college,10,Separated,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -21,?,405684,HS-grad,9,Never-married,?,Other-relative,White,Male,0,0,35,Mexico,<=50K -60,Private,82388,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,<=50K -45,Private,289230,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,48,United-States,>50K -26,Private,101812,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,5721,0,40,United-States,<=50K -49,State-gov,336509,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,383402,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -47,Private,328216,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,United-States,>50K -40,Private,280362,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K -34,Private,212064,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,7443,0,35,United-States,<=50K -42,Private,173704,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,433375,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Mexico,<=50K -63,Self-emp-not-inc,106551,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,22418,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,54816,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -44,Private,358199,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -43,Private,190044,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,97698,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,32,United-States,<=50K -56,Private,53366,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,236136,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -44,Private,326232,7th-8th,4,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,48,United-States,<=50K -34,Private,581071,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,>50K -40,Private,220589,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Federal-gov,161463,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -44,Private,95255,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Federal-gov,223267,Some-college,10,Divorced,Protective-serv,Own-child,White,Male,0,0,72,United-States,<=50K -22,Private,236769,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,England,<=50K -58,Self-emp-inc,229498,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,20,United-States,>50K -43,Private,177083,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,30,United-States,<=50K -23,Private,287681,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,Columbia,<=50K -41,Private,49797,Some-college,10,Separated,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -44,Private,174051,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -32,Private,194901,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -38,Local-gov,252250,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,>50K -47,Private,191277,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -24,Private,174907,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -39,Private,167140,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,236543,12th,8,Divorced,Protective-serv,Own-child,White,Male,0,0,54,Mexico,<=50K -40,Private,214242,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -34,Private,216864,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,3770,45,United-States,<=50K -34,Private,245211,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,2036,0,30,United-States,<=50K -57,Private,437727,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,45,United-States,>50K -71,Private,200418,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -45,Local-gov,167334,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -54,Private,146834,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -26,Private,78424,Assoc-voc,11,Never-married,Sales,Unmarried,White,Female,0,0,54,United-States,<=50K -37,Private,182675,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K -28,Self-emp-not-inc,38079,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K -42,Private,115178,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,15,United-States,<=50K -45,Private,195949,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,167415,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -57,Private,223214,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -39,Private,22245,Bachelors,13,Married-civ-spouse,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -45,State-gov,81853,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,United-States,>50K -30,Private,147921,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,46,United-States,<=50K -27,Private,29261,HS-grad,9,Married-AF-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -44,Private,257758,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -44,State-gov,136546,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -38,Private,205493,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,60,United-States,>50K -19,Private,71650,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,150217,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K -55,Self-emp-inc,258648,10th,6,Widowed,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,Private,114798,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -43,Private,186188,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Local-gov,175255,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K -45,Private,249935,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -44,Private,120277,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K -26,Private,193165,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,52,United-States,>50K -32,Private,185027,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,Ireland,>50K -21,Private,221418,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -43,Federal-gov,56063,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -34,Private,153927,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,State-gov,163110,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -40,Self-emp-inc,175696,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,51,United-States,<=50K -46,Private,143189,5th-6th,3,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,Dominican-Republic,<=50K -20,?,114969,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -54,State-gov,32778,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,150683,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -58,Self-emp-inc,78104,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,335005,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,3137,0,40,United-States,<=50K -50,Local-gov,311551,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -42,Self-emp-not-inc,201520,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,124111,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -60,Private,166386,11th,7,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,30,Hong,<=50K -43,State-gov,117471,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,361307,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -31,Private,142038,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,45,United-States,<=50K -35,Private,276552,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,50402,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,174090,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K -27,Private,277760,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,24243,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1590,40,United-States,<=50K -44,Self-emp-inc,151089,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,70,United-States,>50K -52,Self-emp-not-inc,165278,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,22,United-States,<=50K -49,Private,182752,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -31,Private,173002,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -59,Private,261232,11th,7,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,164607,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,129573,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -51,Federal-gov,36186,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -24,Private,325744,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Self-emp-inc,329793,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -46,Private,133616,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -55,Private,83401,5th-6th,3,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -76,Private,239880,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K -25,Private,201737,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,192182,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K -33,Private,143540,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,28334,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,245873,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -42,Local-gov,199095,Assoc-voc,11,Widowed,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -53,Private,104461,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,8614,0,50,Italy,>50K -33,Local-gov,183923,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,35,United-States,>50K -30,Private,129707,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,35,United-States,>50K -41,Local-gov,575442,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,State-gov,184682,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,69251,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -31,Private,225507,Assoc-voc,11,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Private,167515,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -35,Private,407068,1st-4th,2,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,40,Guatemala,<=50K -40,Private,170019,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,?,<=50K -46,Local-gov,125892,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -43,Local-gov,35824,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -35,Private,67083,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -23,Private,107801,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -50,Self-emp-not-inc,95577,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,12,?,<=50K -43,Private,118536,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,Black,Male,0,0,40,United-States,<=50K -61,Private,198078,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -29,Private,78261,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,United-States,<=50K -21,Private,234108,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Local-gov,241998,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1672,50,United-States,<=50K -40,Private,92717,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,257683,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -90,Private,40388,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K -24,Private,55424,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,169600,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,2176,0,12,United-States,<=50K -40,Local-gov,319271,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -37,Self-emp-not-inc,75050,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -31,Private,182896,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,188274,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,211497,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,113806,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,?,>50K -47,Local-gov,172246,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -48,Local-gov,219962,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,?,186815,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K -26,?,132749,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,80,United-States,<=50K -28,Private,209801,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -20,State-gov,178517,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,169364,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,Ireland,<=50K -32,Federal-gov,164707,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -55,Private,144084,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -41,Local-gov,133692,Bachelors,13,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Private,184169,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,35,United-States,>50K -45,Self-emp-inc,145290,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -65,Local-gov,24824,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,178319,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -22,Private,235829,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -22,?,196280,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -42,Self-emp-not-inc,54202,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -37,Private,220237,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K -24,Private,59146,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -67,Private,64148,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,41,United-States,<=50K -28,Private,196621,HS-grad,9,Married-spouse-absent,Tech-support,Not-in-family,White,Female,0,0,37,United-States,<=50K -56,Private,195668,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,Cuba,>50K -31,State-gov,263000,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,<=50K -33,Private,554986,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -52,?,108211,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,217654,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Germany,>50K -53,Private,139671,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -47,Private,102771,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Portugal,<=50K -40,Private,213019,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -35,Private,228493,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,48,United-States,<=50K -65,Self-emp-not-inc,22907,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,24364,Some-college,10,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,30,United-States,<=50K -23,Federal-gov,41432,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,15,United-States,<=50K -39,Private,235259,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,343476,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -37,Private,326886,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,248313,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Self-emp-not-inc,30290,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,188540,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -39,Private,237943,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K -25,Private,198870,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Male,0,0,35,United-States,<=50K -30,Private,233980,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,171090,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,48,United-States,<=50K -22,Private,353039,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Female,0,0,36,Mexico,<=50K -46,Federal-gov,213140,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K -54,Private,188136,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,1408,38,United-States,<=50K -33,Private,130057,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -70,State-gov,345339,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,182074,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -53,Local-gov,176557,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -55,State-gov,71630,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,1617,40,United-States,<=50K -17,Private,159849,11th,7,Never-married,Protective-serv,Own-child,White,Female,0,0,30,United-States,<=50K -36,Private,183425,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,125933,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K -40,Local-gov,180123,HS-grad,9,Married-spouse-absent,Farming-fishing,Own-child,Black,Male,0,0,40,United-States,<=50K -36,Private,592930,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,>50K -28,Private,183802,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -39,Private,77005,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K -49,Private,80914,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -63,Self-emp-inc,165667,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,123991,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,20,United-States,<=50K -48,Self-emp-inc,181307,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -55,Private,124137,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Poland,<=50K -18,?,137363,Some-college,10,Never-married,?,Own-child,White,Female,0,0,4,United-States,<=50K -20,Private,291979,HS-grad,9,Married-civ-spouse,Sales,Other-relative,White,Male,0,0,20,United-States,<=50K -49,Private,91251,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -27,Federal-gov,148153,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -37,Private,131463,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,33,United-States,<=50K -32,State-gov,127651,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -33,Self-emp-inc,239018,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -47,Private,276087,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,26,United-States,<=50K -34,Private,386877,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -61,Private,210464,HS-grad,9,Divorced,Adm-clerical,Other-relative,Black,Female,0,0,35,United-States,<=50K -25,Private,632834,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -26,Private,245465,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -18,Private,198087,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -35,Private,27408,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,242713,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,?,<=50K -56,Private,314727,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K -40,State-gov,269733,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,177287,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,38,United-States,<=50K -66,Private,167711,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,>50K -42,Private,112181,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -28,Private,339002,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K -39,State-gov,24721,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -65,Self-emp-not-inc,37092,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K -20,Private,216563,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -52,Private,204447,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,40,United-States,>50K -24,?,151153,Some-college,10,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,99999,0,50,South,>50K -39,Private,187089,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,423052,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,30,United-States,<=50K -49,Private,169180,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Hong,<=50K -21,Private,104981,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,48,United-States,<=50K -35,?,120074,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -38,Private,269323,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -55,Private,141549,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,214858,10th,6,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,55,United-States,<=50K -34,Private,173524,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -54,Local-gov,365049,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,Mexico,<=50K -38,Private,60355,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,86808,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -33,State-gov,174171,Some-college,10,Separated,Tech-support,Not-in-family,White,Male,0,0,12,United-States,<=50K -32,Federal-gov,504951,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K -34,Private,294064,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,France,<=50K -46,Private,120131,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,>50K -48,Private,199058,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -23,Private,152328,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -48,Federal-gov,88564,7th-8th,4,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -67,Private,95113,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,37,United-States,>50K -36,Private,247558,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,60,?,>50K -25,Private,178421,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -43,Private,484861,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,4064,0,38,United-States,<=50K -27,Local-gov,225291,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Private,205735,1st-4th,2,Separated,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,58898,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1579,48,United-States,<=50K -39,Private,355468,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1887,46,United-States,>50K -60,Self-emp-not-inc,184362,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,25,United-States,<=50K -27,Private,347513,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,138768,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,29810,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -31,Private,126501,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,60783,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,15,United-States,<=50K -26,Private,179772,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -45,Self-emp-inc,281911,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -33,Private,70447,HS-grad,9,Never-married,Transport-moving,Other-relative,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -55,?,449576,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,48,Mexico,<=50K -29,Private,327964,9th,5,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -72,Private,496538,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,6360,0,40,United-States,<=50K -35,Self-emp-not-inc,153066,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -53,State-gov,77651,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,119493,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -20,Private,256240,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -69,Private,177374,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,1848,0,12,United-States,<=50K -41,Local-gov,37848,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -45,Private,129336,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -27,Private,183511,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -46,Self-emp-inc,120131,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K -55,Private,190508,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,35,United-States,<=50K -31,Private,363130,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -45,Private,240356,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,55,United-States,<=50K -64,Private,133166,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,5,United-States,<=50K -38,Private,32916,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -17,Private,117477,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,34748,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1887,20,United-States,>50K -22,Private,459463,12th,8,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,50,United-States,<=50K -23,Private,95989,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -25,Private,118088,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -33,Private,150570,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,43,United-States,>50K -31,?,505438,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,30,Mexico,<=50K -37,Private,179731,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -53,Private,122109,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,1876,38,United-States,<=50K -28,Local-gov,163942,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,106670,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -41,Private,123403,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -61,Self-emp-inc,119986,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,66622,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -20,?,40060,Some-college,10,Never-married,?,Own-child,White,Male,0,0,56,United-States,<=50K -35,Private,260578,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K -64,Local-gov,96076,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,70604,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,<=50K -39,Self-emp-not-inc,230329,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,1564,12,United-States,>50K -53,Private,49715,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -28,Private,116531,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Federal-gov,214542,Some-college,10,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -25,Local-gov,335005,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,Italy,<=50K -19,Private,258633,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -20,Private,203240,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -27,Private,104457,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,40,?,<=50K -55,Local-gov,99131,HS-grad,9,Married-civ-spouse,Prof-specialty,Other-relative,White,Female,0,2246,40,United-States,>50K -52,State-gov,125796,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,1848,40,United-States,>50K -21,?,479482,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,167790,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -47,Private,133758,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,1974,40,United-States,<=50K -22,Private,106843,10th,6,Never-married,Craft-repair,Other-relative,White,Male,0,0,30,United-States,<=50K -24,Private,117959,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,4386,0,40,United-States,>50K -26,Private,174921,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,134152,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -57,Private,99364,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -18,Local-gov,155905,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,60,United-States,<=50K -30,Private,467108,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -34,Self-emp-not-inc,304622,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -40,Private,198692,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,5178,0,60,United-States,>50K -60,Private,178050,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,38,United-States,<=50K -25,Private,162687,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -39,Private,113151,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -48,Private,158924,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -27,Self-emp-not-inc,141795,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -33,Self-emp-not-inc,33404,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,>50K -65,Self-emp-inc,178771,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,168553,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,40,United-States,>50K -27,Private,110648,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,151053,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,142871,Some-college,10,Separated,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K -18,?,343161,11th,7,Never-married,?,Own-child,White,Male,0,0,16,United-States,<=50K -27,Private,183523,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -57,Self-emp-not-inc,222216,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,60,United-States,<=50K -44,Private,121874,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,55,United-States,>50K -30,Private,467108,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K -26,Private,34393,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Federal-gov,42003,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -61,Private,180418,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -49,Self-emp-not-inc,199590,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Mexico,<=50K -33,Private,144949,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -50,Private,155594,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -53,Self-emp-not-inc,162576,7th-8th,4,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,99,United-States,<=50K -33,Private,232475,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -22,Private,269474,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K -45,Local-gov,140644,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K -26,?,39640,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,60,United-States,<=50K -50,?,346014,7th-8th,4,Separated,?,Own-child,White,Female,0,0,20,United-States,<=50K -47,Self-emp-not-inc,159726,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -52,Federal-gov,290856,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -57,Private,217886,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,36,United-States,<=50K -21,?,199915,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -58,Private,106546,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,2174,0,40,United-States,<=50K -50,Local-gov,220640,Masters,14,Divorced,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,0,0,50,United-States,>50K -33,Federal-gov,88913,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -34,Self-emp-not-inc,288486,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,227411,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -37,Local-gov,99935,Masters,14,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,50,United-States,>50K -57,Private,201112,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -57,Self-emp-not-inc,123778,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -21,Private,204596,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,8,United-States,<=50K -40,Private,190290,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,196674,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,108435,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,20,United-States,<=50K -38,Private,186359,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -32,Private,137076,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -22,State-gov,262819,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,171655,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K -42,Private,183319,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,El-Salvador,<=50K -36,Private,127306,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,47,United-States,<=50K -22,Private,68678,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,<=50K -40,State-gov,140108,9th,5,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -26,Private,263444,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -46,State-gov,265554,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -28,Private,410216,11th,7,Married-civ-spouse,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,>50K -46,State-gov,20534,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -55,Private,188917,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -76,Private,98695,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -27,Private,411950,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -50,Private,237819,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -75,Private,187424,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -42,Federal-gov,198316,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Local-gov,139703,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -51,Private,152596,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,194726,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,55,United-States,>50K -44,Private,82601,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -20,?,229843,Some-college,10,Never-married,?,Not-in-family,Black,Female,0,0,20,United-States,<=50K -60,Private,122276,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Italy,<=50K -47,State-gov,188386,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -73,Private,92298,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,15,United-States,<=50K -27,Private,390657,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -50,Private,89041,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,50,United-States,>50K -35,Private,314897,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -31,Private,166343,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,50,?,<=50K -45,Private,88781,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,>50K -57,Private,41762,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,South,>50K -34,Private,849857,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Nicaragua,<=50K -19,Private,307496,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -25,Private,324372,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -39,Private,99270,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,Germany,>50K -28,Private,160731,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Poland,>50K -48,State-gov,148306,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,259019,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -53,Private,224894,5th-6th,3,Married-civ-spouse,Priv-house-serv,Wife,Black,Female,0,0,10,Haiti,<=50K -19,Private,258470,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,197919,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,60,United-States,<=50K -23,Private,213719,Assoc-acdm,12,Never-married,Sales,Own-child,Black,Female,0,0,36,United-States,<=50K -32,Private,226535,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,146042,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -21,Private,180339,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Female,0,1602,30,United-States,<=50K -24,Private,99970,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,300687,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -29,Local-gov,219906,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,25,United-States,>50K -24,Private,122234,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,20,?,<=50K -55,Private,158641,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,239539,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -46,Local-gov,102308,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,186934,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,234447,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -35,Private,125933,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -29,Private,142760,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -41,State-gov,309056,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -40,Self-emp-not-inc,48859,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K -30,Private,110594,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -72,Private,426562,11th,7,Divorced,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K -17,Private,169037,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -46,Self-emp-inc,123075,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,70,United-States,<=50K -38,Private,195744,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K -36,Private,81896,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -24,Self-emp-not-inc,172047,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,253814,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -28,Private,66473,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -60,?,56248,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,1485,70,United-States,>50K -42,Local-gov,271521,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Other,Male,0,0,40,United-States,>50K -48,Private,265295,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -37,Self-emp-not-inc,174308,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,196342,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -55,Private,223594,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,7688,0,40,Puerto-Rico,>50K -30,Private,149787,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -68,Private,124686,7th-8th,4,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,10,United-States,<=50K -45,Private,50163,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -26,Private,175789,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,218215,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,166371,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,169469,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -52,Private,145081,7th-8th,4,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -68,Private,214521,Prof-school,15,Widowed,Prof-specialty,Unmarried,White,Female,0,0,16,United-States,<=50K -26,Local-gov,287233,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,>50K -52,Private,201310,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,?,<=50K -46,Self-emp-not-inc,197836,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1672,50,United-States,<=50K -53,Private,158294,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -17,Private,127366,11th,7,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K -29,Private,203697,Bachelors,13,Married-civ-spouse,Prof-specialty,Own-child,White,Male,0,0,75,United-States,<=50K -41,Private,168730,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -45,Private,165232,Some-college,10,Divorced,Tech-support,Not-in-family,Black,Female,0,0,40,Trinadad&Tobago,<=50K -57,Private,175942,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -30,Federal-gov,356689,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,Japan,<=50K -46,Private,132912,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -45,Private,187226,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -59,?,254765,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -40,Private,202565,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,<=50K -38,State-gov,103925,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,2036,0,20,United-States,<=50K -22,Private,112164,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,?,<=50K -59,Self-emp-not-inc,70623,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,85,United-States,<=50K -36,Private,102729,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,558944,7th-8th,4,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,256967,10th,6,Never-married,Sales,Other-relative,Black,Female,0,0,40,United-States,<=50K -62,?,144583,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -63,Private,102412,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,159788,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,80,United-States,<=50K -27,Private,55743,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,45,United-States,>50K -47,State-gov,148171,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Male,0,0,50,France,>50K -20,Local-gov,271354,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,98524,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -29,Private,272913,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,Mexico,<=50K -22,Private,324445,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,155469,Assoc-acdm,12,Widowed,Tech-support,Unmarried,White,Female,0,0,24,United-States,<=50K -36,Private,102945,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Private,291904,10th,6,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -41,Federal-gov,186601,HS-grad,9,Separated,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -43,Private,172401,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -33,Private,193285,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -34,Private,176244,7th-8th,4,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -32,Private,117779,HS-grad,9,Never-married,Transport-moving,Own-child,White,Female,0,0,35,United-States,<=50K -22,?,34616,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -52,Private,169182,9th,5,Widowed,Other-service,Not-in-family,White,Female,0,0,25,Puerto-Rico,<=50K -27,Private,180758,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Local-gov,141637,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -41,Self-emp-not-inc,169023,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,40,United-States,>50K -34,Self-emp-not-inc,101266,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,62,United-States,<=50K -30,Private,164190,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -35,Private,142282,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -39,Federal-gov,103984,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -64,Private,187601,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Self-emp-not-inc,36218,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K -29,State-gov,106334,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,?,<=50K -37,Local-gov,249392,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -43,Self-emp-not-inc,110355,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -30,Self-emp-not-inc,117944,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K -17,Private,163836,10th,6,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K -29,Private,145592,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Guatemala,<=50K -24,Private,108495,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,India,<=50K -27,Self-emp-not-inc,212041,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -69,Self-emp-inc,182451,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,124020,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,199116,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -17,?,144114,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -61,Private,107438,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,1651,40,United-States,<=50K -70,Private,405362,7th-8th,4,Widowed,Other-service,Unmarried,Black,Female,0,0,38,United-States,<=50K -32,Private,175856,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,1902,40,United-States,>50K -21,?,262241,HS-grad,9,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K -27,Self-emp-not-inc,420054,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,9562,0,50,United-States,>50K -27,Private,86681,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,187161,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -44,State-gov,691903,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,60,United-States,>50K -36,Private,219483,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,199058,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K -29,Private,192010,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,Poland,<=50K -34,Federal-gov,419691,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,54,United-States,>50K -28,Local-gov,356089,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Male,0,0,50,United-States,<=50K -34,Private,684015,5th-6th,3,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,El-Salvador,<=50K -18,Private,36882,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -39,Private,203180,Some-college,10,Divorced,Farming-fishing,Unmarried,White,Female,0,0,45,United-States,<=50K -34,Private,183811,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Local-gov,103966,Masters,14,Divorced,Adm-clerical,Unmarried,White,Female,0,0,41,United-States,<=50K -24,Private,304602,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,57233,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K -50,State-gov,289207,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,45,United-States,>50K -68,Private,224019,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K -35,Private,267966,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -47,Private,214800,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -43,Local-gov,241528,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,197365,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,296724,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,17,United-States,<=50K -26,Private,136226,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,40623,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,264874,HS-grad,9,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K -20,Private,112847,HS-grad,9,Never-married,Farming-fishing,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -18,?,236090,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -52,Self-emp-not-inc,89028,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -71,State-gov,210673,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,28,United-States,<=50K -55,Private,60193,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,216137,11th,7,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K -36,Private,139743,Some-college,10,Widowed,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -25,?,32276,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -39,Local-gov,423605,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1848,40,Nicaragua,>50K -27,Private,298871,Bachelors,13,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -42,Private,318255,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,347867,HS-grad,9,Married-spouse-absent,Sales,Not-in-family,White,Male,0,1719,40,United-States,<=50K -57,Private,279636,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -34,Private,405386,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,28,United-States,<=50K -31,Private,297188,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -24,Private,182342,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,229148,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,60,Jamaica,<=50K -30,Private,189620,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,6849,0,40,England,<=50K -17,Private,413557,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,32,United-States,<=50K -26,Self-emp-inc,246025,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,20,Honduras,<=50K -32,Private,390997,1st-4th,2,Never-married,Farming-fishing,Not-in-family,Other,Male,0,0,50,Mexico,<=50K -55,Private,102058,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -19,Private,247298,12th,8,Married-spouse-absent,Other-service,Own-child,Other,Female,0,0,20,United-States,<=50K -28,Private,140108,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -55,?,216941,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,2885,0,40,United-States,<=50K -49,Private,81654,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -23,Private,177526,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,64631,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,110028,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,203761,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -23,Private,163870,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -59,Federal-gov,117299,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -20,Private,50648,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -21,Private,166517,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -28,?,173800,Bachelors,13,Married-spouse-absent,?,Not-in-family,Asian-Pac-Islander,Female,0,0,10,Taiwan,<=50K -44,Self-emp-inc,181762,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -31,Self-emp-not-inc,340880,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -50,Self-emp-not-inc,114758,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,4416,0,45,United-States,<=50K -54,Private,138847,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -28,Private,215014,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -34,Private,183778,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,273629,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Self-emp-inc,113870,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -23,Private,213955,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,2001,40,United-States,<=50K -29,Private,114982,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -35,Private,205338,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,57924,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,7688,0,50,United-States,>50K -90,?,225063,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,10,South,<=50K -35,Self-emp-not-inc,202027,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,United-States,>50K -20,Private,281356,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Other,Male,0,0,40,United-States,<=50K -42,Private,30824,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,2354,0,16,United-States,<=50K -56,Private,98809,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,5013,0,45,United-States,<=50K -31,Private,38223,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K -23,Private,172232,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,50,United-States,<=50K -60,Private,140544,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,221366,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,180799,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -36,Private,111499,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,14084,0,40,United-States,>50K -44,Self-emp-not-inc,155930,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -34,Private,201122,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -27,Private,101709,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -49,Private,140121,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K -48,Private,172709,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -47,Private,120131,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -34,Private,117444,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -27,Private,256764,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Local-gov,176185,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4064,0,40,?,<=50K -24,Private,223811,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,201603,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -25,Private,138765,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,133974,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Federal-gov,137953,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -57,Private,103403,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,461678,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -41,State-gov,70884,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -56,State-gov,466498,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,60,United-States,>50K -19,Private,148644,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -44,Private,190739,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,32,United-States,<=50K -34,Private,299507,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,211424,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -27,State-gov,106721,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,192017,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Private,530099,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,55,United-States,>50K -34,Private,119153,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,202450,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,>50K -21,Private,50341,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -24,Private,140001,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Italy,<=50K -19,?,220517,Some-college,10,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -82,?,52921,Some-college,10,Widowed,?,Not-in-family,Amer-Indian-Eskimo,Male,0,0,3,United-States,<=50K -35,Private,31964,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -32,Private,148207,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,151627,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -30,Private,402539,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Self-emp-not-inc,188278,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -28,Self-emp-not-inc,96219,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,5,United-States,<=50K -29,Private,340534,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,44,United-States,<=50K -60,Private,160339,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Columbia,<=50K -28,Private,120135,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Federal-gov,303817,Some-college,10,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -31,Private,181091,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -28,Private,200515,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,>50K -42,Private,160893,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,23,United-States,<=50K -40,Local-gov,183096,9th,5,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Yugoslavia,>50K -24,Private,241367,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Self-emp-inc,342084,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -36,Private,193855,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,80410,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,554317,9th,5,Married-spouse-absent,Other-service,Other-relative,White,Male,0,0,35,Mexico,<=50K -46,Private,85109,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1628,40,United-States,<=50K -28,Private,108569,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,<=50K -34,Private,120959,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,222011,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,43,United-States,<=50K -43,Private,238530,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,48404,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -60,Private,88055,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,3781,0,16,United-States,<=50K -33,Private,238381,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,8614,0,40,United-States,>50K -22,Private,243923,HS-grad,9,Married-civ-spouse,Transport-moving,Other-relative,White,Male,0,0,80,United-States,<=50K -39,Private,305597,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,141841,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,5178,0,40,United-States,>50K -39,Private,129764,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,150993,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -63,Self-emp-not-inc,147140,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -46,State-gov,30219,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,38,United-States,>50K -48,Private,167967,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -33,Private,133278,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -65,Private,172510,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Female,1848,0,20,Hungary,<=50K -39,Private,192251,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,>50K -43,Private,210844,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,>50K -28,Private,263015,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Self-emp-not-inc,155118,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,99999,0,35,United-States,>50K -24,State-gov,232918,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -48,Private,143542,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,45607,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -62,Private,29828,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,104118,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Private,191446,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K -50,Private,27484,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -40,Private,205987,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,Cuba,<=50K -39,Local-gov,143385,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,?,200508,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -43,Local-gov,186995,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,54159,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K -39,Private,113481,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -30,Local-gov,235271,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -32,Private,349365,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,65,United-States,<=50K -18,Private,283637,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,70282,Assoc-acdm,12,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -26,Private,166051,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -51,Private,193720,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K -35,?,124836,Some-college,10,Divorced,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,36,United-States,<=50K -33,Private,236379,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -46,Private,122026,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K -40,Private,114537,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -34,Private,191834,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -29,Private,420054,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,160045,Some-college,10,Widowed,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -34,Private,303187,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K -45,Private,190088,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -53,Private,126977,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -52,Self-emp-not-inc,63004,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -64,Private,391121,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -42,Private,211450,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K -44,Private,156413,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,44,United-States,>50K -41,Private,116797,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,50,United-States,>50K -53,Local-gov,204447,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,>50K -25,Private,66935,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -20,Private,344278,11th,7,Separated,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,108574,Assoc-voc,11,Never-married,Priv-house-serv,Own-child,White,Female,0,0,40,United-States,<=50K -56,Private,244605,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,363677,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,30,United-States,>50K -56,Private,219762,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,35,United-States,<=50K -38,Self-emp-inc,269318,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -62,Private,77884,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -28,Self-emp-not-inc,70100,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -31,Private,213643,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3908,0,40,United-States,<=50K -24,Private,69640,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -65,Private,170012,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,34,United-States,<=50K -40,Private,329924,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,30,United-States,<=50K -31,Private,193285,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,261241,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,1741,60,United-States,<=50K -42,Federal-gov,108183,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1902,40,South,>50K -20,Private,296618,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -30,Local-gov,257796,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,155320,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K -22,Private,151888,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -65,?,143118,HS-grad,9,Widowed,?,Unmarried,White,Female,0,2206,10,United-States,<=50K -31,Private,66278,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,3908,0,40,United-States,<=50K -56,Private,92444,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,>50K -51,Private,229272,HS-grad,9,Divorced,Other-service,Other-relative,Black,Male,0,0,32,Haiti,<=50K -36,Self-emp-not-inc,207202,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -44,State-gov,154176,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,1590,40,United-States,<=50K -49,Private,180899,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,0,1755,45,United-States,>50K -28,Private,205337,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,180779,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -33,Self-emp-not-inc,343021,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K -49,Private,176814,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,5178,0,40,United-States,>50K -74,State-gov,88638,Doctorate,16,Never-married,Prof-specialty,Other-relative,White,Female,0,3683,20,United-States,>50K -48,Private,248059,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,45,United-States,<=50K -38,Private,409604,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -39,Private,185053,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,332884,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,65,United-States,>50K -56,Private,212864,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -27,Private,66473,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -17,Private,285169,11th,7,Never-married,Priv-house-serv,Own-child,White,Female,0,0,40,United-States,<=50K -28,Private,175431,9th,5,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -18,?,152641,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,339346,Masters,14,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -39,Private,287306,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -29,Self-emp-not-inc,70604,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,3464,0,40,United-States,<=50K -21,Private,88926,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K -36,Private,91275,Some-college,10,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -56,Private,244554,10th,6,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -49,Private,232586,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-inc,127678,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,<=50K -44,Private,162184,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Private,408229,1st-4th,2,Never-married,Other-service,Not-in-family,White,Male,0,0,45,El-Salvador,<=50K -43,State-gov,139734,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -62,Private,197286,12th,8,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,Germany,<=50K -52,Private,229983,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,3103,0,30,United-States,>50K -25,Private,252803,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -63,Self-emp-inc,110890,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,>50K -51,Private,160724,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,99,South,<=50K -25,Private,89625,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -62,?,266037,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,126730,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Federal-gov,96854,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K -32,Private,186788,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,28996,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -30,Self-emp-not-inc,347166,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,State-gov,110311,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,310850,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,220694,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,37,United-States,<=50K -61,Private,149405,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -70,Self-emp-inc,131699,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,<=50K -55,Private,49996,11th,7,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -35,Private,187112,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K -36,Private,180859,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,<=50K -29,Private,185647,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,60,United-States,<=50K -30,Private,316606,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -45,Private,274657,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K -39,Federal-gov,193583,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,5455,0,60,United-States,<=50K -18,Private,338836,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -28,Private,216814,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -27,Private,106935,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -38,Private,223433,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,174789,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,135603,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -25,?,344719,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,4,United-States,<=50K -38,Private,372484,11th,7,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -23,Private,181820,Some-college,10,Never-married,Farming-fishing,Unmarried,White,Male,0,0,45,United-States,<=50K -40,Private,235371,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -36,Self-emp-inc,216711,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,?,>50K -20,Private,299399,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -41,Private,202508,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -44,Private,172025,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -49,Self-emp-inc,246891,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -22,Private,450920,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -26,Private,53598,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,103757,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,76017,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -28,Self-emp-inc,80158,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -37,Federal-gov,90881,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Male,8614,0,55,United-States,>50K -44,Private,427952,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -20,?,230955,12th,8,Never-married,?,Not-in-family,Black,Female,0,0,35,United-States,<=50K -53,Private,177916,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K -36,Private,342642,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,15,United-States,<=50K -77,Private,253642,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,30,United-States,<=50K -21,Private,219086,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -24,Private,162593,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -30,Private,87561,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Local-gov,142411,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K -22,Private,154422,Some-college,10,Divorced,Sales,Own-child,Asian-Pac-Islander,Female,0,0,30,Philippines,<=50K -23,Private,169104,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,25,United-States,<=50K -47,Private,193047,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K -17,Private,151141,12th,8,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -48,Private,267912,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,50,Mexico,>50K -43,Private,137126,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -34,Private,152453,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Guatemala,<=50K -19,Private,357059,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -42,State-gov,202011,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,98283,Bachelors,13,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -61,Self-emp-not-inc,176965,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -63,Private,187919,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -65,Private,274916,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,105813,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K -41,Local-gov,193524,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -35,Private,152734,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,?,<=50K -21,Private,263641,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -48,Local-gov,102076,Bachelors,13,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -51,State-gov,155594,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K -43,Private,33331,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -22,State-gov,156773,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,15,?,<=50K -56,Self-emp-not-inc,115439,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -47,Private,181652,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,120268,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,24,United-States,<=50K -39,Private,196308,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,24,United-States,<=50K -45,Self-emp-not-inc,40690,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,75,United-States,<=50K -49,Private,228583,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,40,Columbia,<=50K -23,Private,695136,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -69,Private,209236,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,36,United-States,<=50K -41,Federal-gov,214838,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -40,Self-emp-not-inc,188436,HS-grad,9,Separated,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,<=50K -25,Private,177625,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,124591,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -28,Private,230856,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Female,3325,0,50,United-States,<=50K -50,Federal-gov,221532,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -21,Private,232577,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,0,0,30,United-States,<=50K -48,Private,168216,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -27,Private,214702,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K -63,Private,237620,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -47,State-gov,54887,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -37,Self-emp-not-inc,164526,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,14084,0,45,United-States,>50K -28,Private,224506,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,?,<=50K -58,Private,183870,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,208330,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,51,United-States,<=50K -67,Self-emp-inc,168370,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -62,Self-emp-not-inc,320376,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,48,United-States,<=50K -28,Private,192384,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -26,Private,167350,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,103538,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K -29,Private,58522,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,191342,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -25,Private,193820,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K -20,Private,258490,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -21,Private,56520,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,102476,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -44,Self-emp-inc,311357,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -37,Private,166497,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,38,United-States,<=50K -50,Private,160724,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,7298,0,40,Philippines,>50K -29,Private,338270,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -18,Private,282394,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,21,United-States,<=50K -32,Private,383269,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -58,Private,119386,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -50,Private,196975,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -29,Private,334221,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,18,United-States,<=50K -58,Private,27385,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -29,State-gov,133846,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,361888,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -21,Private,230429,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -49,Private,328776,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -60,Private,243829,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -39,Private,306646,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,3103,0,50,United-States,>50K -50,Private,138179,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K -30,Private,280069,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K -55,Private,305759,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,?,<=50K -64,Local-gov,164876,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,20,United-States,<=50K -29,Self-emp-inc,138597,Assoc-acdm,12,Never-married,Prof-specialty,Other-relative,Black,Female,0,0,40,United-States,<=50K -40,Private,111483,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -42,Private,144778,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -55,Private,171015,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,112494,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -28,Private,408473,12th,8,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K -46,State-gov,27802,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,>50K -34,Private,236318,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -47,Private,121836,Masters,14,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,38,United-States,>50K -43,Self-emp-not-inc,315971,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,698418,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,25,United-States,<=50K -21,Private,329530,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -65,Private,194456,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,England,>50K -20,Private,282579,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,State-gov,26401,Masters,14,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -38,State-gov,364958,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,3464,0,40,United-States,<=50K -22,Private,83998,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,94364,Some-college,10,Never-married,Prof-specialty,Not-in-family,Other,Female,0,0,20,United-States,<=50K -44,Private,174189,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -44,Local-gov,101967,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -41,Private,146908,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -38,Private,126675,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,2205,40,United-States,<=50K -21,Private,31606,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,Germany,<=50K -24,Private,132327,Some-college,10,Married-spouse-absent,Sales,Unmarried,Other,Female,0,0,30,Ecuador,<=50K -24,Private,112459,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -28,Private,48894,HS-grad,9,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -39,Private,181943,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -48,Private,247685,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K -24,Local-gov,195808,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,172052,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,35,South,>50K -50,Local-gov,50178,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,4064,0,55,United-States,<=50K -68,Private,351711,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -31,State-gov,190305,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -22,Private,464103,1st-4th,2,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Guatemala,<=50K -18,?,36348,Some-college,10,Never-married,?,Own-child,White,Male,0,0,48,United-States,<=50K -25,Private,120238,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Poland,<=50K -28,Private,354095,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Local-gov,308901,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -24,State-gov,208826,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,99,England,<=50K -20,Private,369677,10th,6,Separated,Sales,Not-in-family,White,Female,0,0,36,United-States,<=50K -45,Federal-gov,98524,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -44,Private,239723,Some-college,10,Married-spouse-absent,Craft-repair,Unmarried,White,Female,1506,0,45,United-States,<=50K -57,Private,231232,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,236396,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,55,United-States,>50K -24,?,119156,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,320451,Some-college,10,Never-married,Protective-serv,Own-child,Asian-Pac-Islander,Male,0,0,24,India,<=50K -41,Private,38397,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Self-emp-inc,189183,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -46,Local-gov,199281,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -52,Private,286342,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,38,United-States,<=50K -50,Private,152810,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -26,Self-emp-inc,176981,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,50,United-States,<=50K -17,Private,117549,10th,6,Never-married,Sales,Other-relative,Black,Female,0,0,12,United-States,<=50K -64,Private,254797,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,133336,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -28,Self-emp-not-inc,182826,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -51,Private,136224,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Self-emp-not-inc,134475,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,1762,40,United-States,<=50K -48,Private,272778,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -44,Private,279183,Some-college,10,Married-civ-spouse,Other-service,Own-child,White,Female,0,0,40,United-States,>50K -47,Private,110243,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,202071,HS-grad,9,Widowed,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K -58,Private,197642,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,39,United-States,<=50K -19,Private,125591,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,197462,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -23,Private,238831,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,182177,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Yugoslavia,<=50K -40,Local-gov,240504,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -48,Self-emp-inc,125892,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,38,United-States,>50K -46,Private,154430,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -32,Private,207685,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,Black,Female,3908,0,40,United-States,<=50K -50,Private,222020,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,243240,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,37,United-States,<=50K -26,Private,158734,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K -36,Private,257691,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -26,Private,144483,Assoc-voc,11,Divorced,Sales,Own-child,White,Female,594,0,35,United-States,<=50K -19,Private,209826,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -53,Private,30244,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -54,Private,133050,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,41,United-States,<=50K -29,Private,138332,Some-college,10,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,6,United-States,<=50K -81,Private,201398,Masters,14,Widowed,Prof-specialty,Unmarried,White,Male,0,0,60,?,<=50K -37,Private,526968,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,>50K -40,Private,79036,Assoc-voc,11,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,>50K -36,Private,240323,Some-college,10,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -18,Private,270544,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -44,State-gov,199551,11th,7,Separated,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K -36,Private,231052,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K -69,State-gov,203072,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -17,Private,126771,12th,8,Never-married,Prof-specialty,Own-child,White,Male,0,0,7,United-States,<=50K -38,Private,31848,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -27,Private,328981,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K -52,Private,159670,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,450695,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K -57,Private,182028,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -19,Private,349620,10th,6,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -38,Private,161066,HS-grad,9,Divorced,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K -46,Private,213611,7th-8th,4,Married-spouse-absent,Priv-house-serv,Unmarried,White,Female,0,1594,24,Guatemala,<=50K -21,Private,548303,HS-grad,9,Married-civ-spouse,Prof-specialty,Own-child,White,Male,0,0,40,Mexico,>50K -29,Private,150861,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Japan,<=50K -33,?,335625,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,133766,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -28,Private,200511,HS-grad,9,Separated,Farming-fishing,Not-in-family,White,Male,0,0,55,United-States,<=50K -26,Private,50103,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -37,?,148266,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,6,Mexico,<=50K -49,Private,177211,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,132686,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -57,Federal-gov,21626,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Private,52900,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -20,?,150084,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -38,Private,248886,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,42,United-States,<=50K -51,Self-emp-not-inc,118259,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,60,United-States,<=50K -60,Private,145493,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,219546,Bachelors,13,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,3411,0,47,United-States,<=50K -44,Federal-gov,399155,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Female,0,0,40,United-States,<=50K -19,Self-emp-not-inc,227310,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -59,Private,333270,Masters,14,Married-civ-spouse,Craft-repair,Wife,Asian-Pac-Islander,Female,0,0,35,Philippines,<=50K -50,Private,231495,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -35,Federal-gov,133935,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -46,Federal-gov,55237,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -18,Private,183034,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,35,United-States,<=50K -32,Private,245487,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,Mexico,<=50K -32,Private,185480,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,114251,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -25,Private,181814,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Female,0,0,40,United-States,<=50K -30,Private,340917,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -37,Private,241998,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,40,United-States,>50K -38,Self-emp-inc,125324,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,>50K -36,Private,34744,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Female,0,0,37,United-States,<=50K -56,Private,131608,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -35,Federal-gov,226916,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K -56,Private,124137,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,41,United-States,<=50K -17,Private,96282,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,14,United-States,<=50K -46,Private,337050,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K -56,Private,229335,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,State-gov,199495,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,111675,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,43,United-States,<=50K -27,Private,139209,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -50,Self-emp-not-inc,32372,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -33,Self-emp-not-inc,203784,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,62,United-States,<=50K -33,Private,164190,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -38,Private,64875,Some-college,10,Never-married,Farming-fishing,Unmarried,White,Male,0,0,60,United-States,<=50K -51,Private,41806,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,208725,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K -49,Local-gov,79019,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,0,0,16,United-States,<=50K -26,Private,136951,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -42,Private,203554,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -37,Private,252947,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,1719,32,United-States,<=50K -38,Private,170861,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -48,Private,199590,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,>50K -41,Private,529216,Bachelors,13,Divorced,Tech-support,Unmarried,Black,Male,7430,0,45,?,>50K -33,Private,195576,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,60,United-States,<=50K -30,Private,182177,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Ireland,<=50K -25,State-gov,183678,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -50,Private,209320,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -54,Self-emp-inc,206862,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,36,United-States,>50K -37,Private,168941,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Self-emp-not-inc,201263,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,55,United-States,>50K -17,Private,75333,10th,6,Never-married,Sales,Own-child,Black,Female,0,0,24,United-States,<=50K -65,?,299494,11th,7,Married-civ-spouse,?,Husband,White,Male,1797,0,40,United-States,<=50K -56,Self-emp-not-inc,163212,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,99999,0,40,United-States,>50K -57,Private,139290,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,38,United-States,<=50K -33,Private,400416,10th,6,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K -41,Self-emp-not-inc,223763,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K -45,Private,77927,Bachelors,13,Widowed,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -50,Private,175804,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -18,Private,91525,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,25,United-States,<=50K -19,Private,279968,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -26,Private,77698,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -61,?,198686,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,>50K -67,?,190340,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,113491,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -29,Private,202878,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -27,Private,108431,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -35,Private,194490,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -37,Private,48093,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,90,United-States,>50K -22,Private,136824,11th,7,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,143280,10th,6,Never-married,Priv-house-serv,Own-child,White,Female,0,0,24,United-States,<=50K -26,Private,150062,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -27,Local-gov,298510,HS-grad,9,Divorced,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,177147,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,6849,0,65,United-States,<=50K -51,Private,115025,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,350440,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -60,Private,83850,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,62669,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -24,Private,229773,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -40,Local-gov,196234,HS-grad,9,Divorced,Craft-repair,Own-child,White,Female,0,0,40,Puerto-Rico,<=50K -69,?,163595,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -44,Private,157249,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,1977,50,United-States,>50K -65,Private,80174,HS-grad,9,Divorced,Exec-managerial,Other-relative,White,Female,1848,0,50,United-States,<=50K -52,Self-emp-inc,49069,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -38,Private,122952,HS-grad,9,Separated,Craft-repair,Unmarried,White,Female,0,0,35,United-States,<=50K -18,Private,123856,11th,7,Never-married,Sales,Own-child,White,Female,0,0,49,United-States,<=50K -24,Private,216181,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -52,Private,180062,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -21,Private,188535,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,44,United-States,<=50K -67,Self-emp-not-inc,106143,Doctorate,16,Married-civ-spouse,Sales,Husband,White,Male,20051,0,40,United-States,>50K -64,Self-emp-not-inc,170421,Some-college,10,Widowed,Craft-repair,Not-in-family,White,Female,0,0,8,United-States,<=50K -25,Private,283087,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Male,0,0,40,United-States,<=50K -34,Federal-gov,341051,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -39,Self-emp-not-inc,34378,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,380674,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,52,United-States,<=50K -19,Private,304469,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,25,United-States,<=50K -35,Private,99146,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -26,Private,205109,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,99156,HS-grad,9,Separated,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -45,Private,97842,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,65,United-States,<=50K -18,Private,100875,11th,7,Never-married,Other-service,Unmarried,White,Female,0,0,28,United-States,<=50K -51,Private,200576,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,63,United-States,<=50K -36,Private,355053,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,28,United-States,<=50K -18,Private,118376,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,?,<=50K -37,Local-gov,117760,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,4650,0,40,United-States,<=50K -37,Private,117567,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -39,Federal-gov,189632,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -21,Private,170108,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -46,State-gov,27243,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K -33,Private,192663,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -23,Private,526164,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -52,Self-emp-not-inc,146579,HS-grad,9,Divorced,Sales,Unmarried,Black,Male,0,0,40,United-States,<=50K -28,Private,60288,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -23,State-gov,241951,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Self-emp-inc,213140,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -17,Private,218124,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -22,Self-emp-not-inc,279802,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,3,United-States,<=50K -26,Private,153078,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,80,?,>50K -40,Private,167919,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -90,Private,250832,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,193158,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -44,Private,172032,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,39484,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,7298,0,42,United-States,>50K -45,Private,84298,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -43,Private,269015,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,Germany,>50K -17,?,262196,10th,6,Never-married,?,Own-child,White,Male,0,0,8,United-States,<=50K -49,Federal-gov,125892,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -27,Private,134890,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,50,United-States,<=50K -60,Self-emp-not-inc,261119,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,119409,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Other,Female,0,0,40,Columbia,<=50K -53,Self-emp-not-inc,118793,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -19,Private,184207,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,191027,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,207782,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -48,Self-emp-not-inc,209146,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -76,?,79445,10th,6,Married-civ-spouse,?,Husband,White,Male,1173,0,40,United-States,<=50K -19,Private,187724,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -28,Private,66777,Assoc-voc,11,Married-civ-spouse,Other-service,Other-relative,White,Female,3137,0,40,United-States,<=50K -58,Private,158002,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,<=50K -19,Self-emp-not-inc,305834,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,25,United-States,<=50K -37,?,122265,HS-grad,9,Divorced,?,Not-in-family,Asian-Pac-Islander,Female,0,0,42,?,<=50K -22,Private,211798,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -52,Self-emp-not-inc,123011,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -31,Private,36302,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -50,Self-emp-not-inc,176867,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,3781,0,40,United-States,<=50K -62,Private,169204,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -26,Private,38232,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -64,State-gov,277657,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,24,United-States,<=50K -38,Private,32271,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,116825,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,80,United-States,>50K -28,Self-emp-not-inc,226198,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,28145,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,52,United-States,<=50K -39,Private,140477,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,10,United-States,<=50K -50,Private,165050,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -39,Self-emp-inc,202937,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -36,Private,316298,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,203070,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,49,United-States,<=50K -51,Self-emp-inc,103995,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -28,Private,176137,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K -57,Self-emp-not-inc,103948,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,>50K -40,Local-gov,39581,Prof-school,15,Separated,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -27,Private,506436,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,Peru,<=50K -32,Private,226975,Some-college,10,Never-married,Sales,Own-child,White,Male,0,1876,60,United-States,<=50K -49,State-gov,154493,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,44,United-States,<=50K -34,Self-emp-not-inc,137223,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,102323,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -54,Private,257765,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Guatemala,<=50K -52,Private,42924,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -43,Private,167599,11th,7,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,25,United-States,<=50K -84,?,368925,5th-6th,3,Widowed,?,Not-in-family,White,Male,0,0,15,United-States,<=50K -79,?,100881,Assoc-acdm,12,Married-civ-spouse,?,Wife,White,Female,0,0,2,United-States,>50K -35,Private,52738,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,46,United-States,<=50K -56,Private,98418,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,30,United-States,<=50K -30,Private,381153,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,103700,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,298635,Bachelors,13,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,50,United-States,<=50K -32,Private,127895,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -44,Self-emp-inc,212760,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -32,Private,281384,HS-grad,9,Married-AF-spouse,Other-service,Other-relative,White,Female,0,0,10,United-States,<=50K -60,Private,181200,12th,8,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,257364,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -50,Private,283281,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -58,Private,214502,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,>50K -41,Private,69333,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -28,Private,190060,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -53,Private,95864,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,35,United-States,<=50K -71,?,144872,Some-college,10,Married-civ-spouse,?,Husband,White,Male,6514,0,40,United-States,>50K -17,?,275778,9th,5,Never-married,?,Own-child,White,Female,0,0,25,Mexico,<=50K -45,Private,27332,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,24395,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,30,United-States,<=50K -25,Private,330695,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -40,Self-emp-not-inc,171615,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,>50K -28,Private,116372,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -27,Private,38599,12th,8,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Local-gov,202184,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K -24,Private,315303,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,25,United-States,<=50K -38,Private,103456,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -24,State-gov,163480,Masters,14,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -18,Private,317425,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,7,United-States,<=50K -58,Private,216941,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,116541,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,44,United-States,>50K -43,Private,186396,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,20,United-States,<=50K -45,Private,273194,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,3137,0,35,United-States,<=50K -24,Private,385540,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Mexico,<=50K -63,Private,201631,9th,5,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K -40,Private,439919,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -21,Private,182117,Bachelors,13,Never-married,Other-service,Other-relative,White,Male,0,0,20,United-States,<=50K -20,State-gov,334113,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,184837,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,7298,0,40,United-States,>50K -49,?,228372,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,>50K -47,Federal-gov,211123,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,Self-emp-inc,38819,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K -61,Private,162391,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1651,40,United-States,<=50K -23,?,302836,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,40,El-Salvador,<=50K -35,State-gov,89040,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -46,Private,264210,Some-college,10,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,20,United-States,<=50K -18,Private,87157,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -28,Self-emp-not-inc,398918,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -62,?,123612,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,4,United-States,<=50K -20,Private,155818,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -28,Private,243660,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,134195,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,238638,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,159929,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,198668,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,215504,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,158002,Some-college,10,Never-married,Craft-repair,Other-relative,White,Male,0,0,55,Ecuador,<=50K -53,Local-gov,35305,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,57,United-States,<=50K -25,Private,195994,1st-4th,2,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,Guatemala,<=50K -44,State-gov,321824,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,<=50K -22,Private,180449,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,28,United-States,<=50K -40,Private,201764,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,250038,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,?,<=50K -30,Self-emp-not-inc,226535,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -51,Private,136121,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -17,Private,47199,11th,7,Never-married,Priv-house-serv,Own-child,White,Female,0,0,24,United-States,<=50K -46,Local-gov,215895,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -50,State-gov,24647,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -34,Private,734193,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -42,?,321086,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K -41,Federal-gov,192589,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,326283,Bachelors,13,Never-married,Other-service,Unmarried,Other,Male,0,0,40,United-States,<=50K -32,Private,207284,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,109089,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,<=50K -50,Private,274528,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -77,Private,142646,7th-8th,4,Widowed,Priv-house-serv,Unmarried,White,Female,0,0,23,United-States,<=50K -33,Private,180859,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Self-emp-inc,188610,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -64,Private,169604,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,260560,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -34,Local-gov,188245,HS-grad,9,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,35,United-States,<=50K -67,Local-gov,103315,Masters,14,Never-married,Exec-managerial,Other-relative,White,Female,15831,0,72,United-States,>50K -37,Local-gov,52465,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,737315,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -22,?,195143,Some-college,10,Never-married,?,Own-child,White,Female,0,0,29,United-States,<=50K -50,Self-emp-not-inc,219420,Doctorate,16,Divorced,Sales,Not-in-family,White,Male,0,0,64,United-States,<=50K -60,Private,198170,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -46,Local-gov,183168,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,43,United-States,<=50K -44,Private,196545,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -43,Private,168412,HS-grad,9,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,44,Poland,<=50K -48,Private,174386,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,El-Salvador,>50K -36,Private,544686,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,2907,0,40,Nicaragua,<=50K -48,Private,95661,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K -37,Private,468713,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,169112,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -52,Private,74024,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -27,Private,110622,5th-6th,3,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,20,Vietnam,<=50K -43,Local-gov,33331,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -23,Private,181557,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,25,United-States,<=50K -66,Private,142624,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5556,0,40,Yugoslavia,>50K -37,Self-emp-not-inc,192251,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,2635,0,40,United-States,<=50K -35,Private,146091,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Local-gov,174575,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,40,United-States,>50K -49,Private,200949,10th,6,Never-married,Other-service,Unmarried,White,Female,0,0,38,Peru,<=50K -51,Local-gov,201560,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -71,Federal-gov,149386,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,9,United-States,<=50K -50,Local-gov,168672,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,40,United-States,>50K -63,Private,38352,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -41,State-gov,180272,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K -24,State-gov,275421,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -41,Local-gov,173051,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K -33,Local-gov,167474,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -42,Local-gov,267138,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -23,Private,135138,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -49,Private,218357,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K -28,Self-emp-not-inc,107236,12th,8,Married-civ-spouse,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,138416,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,56,Mexico,<=50K -28,Private,154863,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Male,0,0,35,United-States,<=50K -37,Private,194004,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K -19,Private,339123,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -51,Local-gov,548361,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,26,United-States,<=50K -25,Private,101812,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,41,United-States,<=50K -49,Self-emp-inc,127111,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -47,Private,171807,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K -48,Local-gov,40666,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -41,Local-gov,340682,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,175052,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -26,?,321629,HS-grad,9,Never-married,?,Unmarried,White,Female,0,0,16,United-States,<=50K -46,Private,154405,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -17,Private,108402,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -34,Private,346275,11th,7,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,43,United-States,<=50K -44,Private,42476,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,30,United-States,<=50K -23,Private,161708,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -35,Private,70447,Some-college,10,Never-married,Prof-specialty,Unmarried,Asian-Pac-Islander,Male,4650,0,20,United-States,<=50K -30,Private,189759,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,4865,0,40,United-States,<=50K -65,?,137354,Some-college,10,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K -34,Private,250724,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,Jamaica,<=50K -34,Federal-gov,149368,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -39,Private,154641,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,38309,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,2407,0,40,United-States,<=50K -53,Local-gov,202733,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,70,United-States,>50K -34,Private,56150,11th,7,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -21,Private,260254,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,108083,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -54,Self-emp-not-inc,71344,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -32,Private,174215,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -39,State-gov,114366,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -39,Private,158962,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,179498,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Germany,<=50K -29,Private,31935,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,149909,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K -20,?,58740,Some-college,10,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K -39,Private,216552,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,255348,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,176050,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -71,?,125101,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,?,197286,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -43,Local-gov,337469,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,594,0,20,Mexico,<=50K -31,Private,159737,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,58,United-States,<=50K -39,Private,316211,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -32,Private,127610,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,32,United-States,>50K -45,Local-gov,556652,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -19,Private,265576,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K -43,Private,347653,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K -32,Private,62374,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,170230,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -34,Private,203051,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,27,United-States,<=50K -66,Self-emp-inc,115880,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,167735,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -46,Self-emp-inc,181413,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -23,Private,185554,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -41,Private,350387,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -63,Private,225102,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,?,<=50K -55,Private,105582,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3103,0,40,United-States,>50K -35,Self-emp-not-inc,350247,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -28,Private,150025,9th,5,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,?,>50K -37,Private,107737,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -63,?,334741,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -43,Private,115562,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K -30,Self-emp-not-inc,131584,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K -36,Local-gov,95855,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,60,United-States,>50K -54,Private,391016,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -36,Federal-gov,51089,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -78,Self-emp-inc,188044,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2392,40,United-States,>50K -77,Private,117898,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -28,Private,70240,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -39,Self-emp-not-inc,187693,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,United-States,>50K -37,Private,341672,Bachelors,13,Separated,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -34,Private,208043,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,45,United-States,>50K -22,Local-gov,289982,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K -54,Private,76344,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -21,Private,200973,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -36,Private,111377,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -62,Self-emp-not-inc,136684,HS-grad,9,Widowed,Adm-clerical,Other-relative,White,Female,0,0,30,United-States,<=50K -40,Private,176716,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -47,Self-emp-not-inc,166894,Some-college,10,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -38,Private,243872,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -28,Private,155621,5th-6th,3,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Columbia,<=50K -46,Private,102597,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,60331,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -37,Private,75024,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,25,Canada,<=50K -69,Private,174474,10th,6,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,28,Peru,<=50K -43,Private,145441,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -53,Private,83434,Bachelors,13,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,21,Japan,>50K -20,Private,691830,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,35,United-States,<=50K -22,Private,189203,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -48,Private,115784,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -40,Federal-gov,280167,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -68,?,407338,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -39,Private,52978,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,1721,55,United-States,<=50K -57,Private,169329,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Black,Male,0,1887,40,Trinadad&Tobago,>50K -23,Private,315065,10th,6,Never-married,Other-service,Unmarried,White,Male,0,0,60,Mexico,<=50K -25,Local-gov,167835,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,38,United-States,>50K -22,Private,63105,HS-grad,9,Never-married,Prof-specialty,Own-child,Black,Male,0,0,40,United-States,<=50K -23,Private,520775,12th,8,Never-married,Priv-house-serv,Own-child,White,Male,0,0,30,United-States,<=50K -41,Local-gov,47902,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -25,Private,145434,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,25,United-States,<=50K -58,Private,56392,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,162312,HS-grad,9,Divorced,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,45,Japan,<=50K -28,Private,204074,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K -19,Private,99246,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,25,United-States,<=50K -44,Private,102085,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -68,Private,168794,Preschool,1,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,10,United-States,<=50K -33,State-gov,332379,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -24,Private,233419,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Self-emp-not-inc,57233,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,192337,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -31,Private,442429,HS-grad,9,Separated,Craft-repair,Unmarried,White,Female,0,0,40,Mexico,<=50K -29,Private,369114,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,Private,261334,9th,5,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Private,160303,HS-grad,9,Widowed,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -49,Private,50474,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,321577,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -41,Private,29591,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -33,Self-emp-not-inc,334744,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -22,Self-emp-not-inc,269474,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,287306,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -66,Private,33619,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,4,United-States,<=50K -38,Private,149347,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -43,Private,96249,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,>50K -40,Local-gov,370502,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -32,Private,188246,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -30,Private,167558,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,35,Mexico,<=50K -35,Private,292185,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,101593,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -33,Local-gov,70164,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K -36,Private,269722,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -33,Self-emp-not-inc,175502,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -53,Private,233165,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -27,Private,177351,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -22,Private,212114,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,15,United-States,<=50K -26,Private,288959,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,36,United-States,<=50K -64,Private,231619,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,21,United-States,<=50K -48,Private,146919,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -23,Private,388811,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,243560,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,40,?,<=50K -35,Self-emp-not-inc,98360,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,369538,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -65,Self-emp-not-inc,31740,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -53,Private,223660,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Male,6849,0,40,United-States,<=50K -18,Private,333611,5th-6th,3,Never-married,Other-service,Other-relative,White,Male,0,0,54,Mexico,<=50K -34,Self-emp-not-inc,108247,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -28,Private,76129,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,Guatemala,<=50K -37,Private,91711,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -61,?,166855,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -59,Private,182062,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,40,United-States,<=50K -32,Private,252752,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,13550,0,60,United-States,>50K -31,Private,43953,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,<=50K -25,Local-gov,84224,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -81,Private,100675,1st-4th,2,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,Poland,<=50K -47,Private,155509,HS-grad,9,Separated,Other-service,Other-relative,Black,Female,0,0,35,United-States,<=50K -39,Private,29814,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,241805,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,30,United-States,<=50K -44,Private,214838,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -37,Private,240810,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -41,Private,154076,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -27,?,175552,5th-6th,3,Married-civ-spouse,?,Wife,White,Female,0,0,40,Mexico,<=50K -55,Private,170287,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Poland,>50K -60,Private,145995,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -22,Private,433669,Assoc-acdm,12,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,36,?,<=50K -23,Private,233626,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K -19,Private,607799,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,60,United-States,<=50K -45,Private,88500,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,>50K -36,Private,127809,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -46,Private,243743,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -48,Private,177211,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,231180,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -29,Private,253856,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K -39,Private,177075,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,152855,HS-grad,9,Never-married,Exec-managerial,Own-child,Other,Female,0,0,40,Mexico,<=50K -37,Private,191137,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Male,0,0,25,United-States,<=50K -49,Private,255559,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -27,Private,169815,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,221215,10th,6,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -35,Private,270059,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -54,?,31588,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2635,0,40,United-States,<=50K -17,Private,345403,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,194897,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -33,Private,388741,Some-college,10,Never-married,Adm-clerical,Unmarried,Other,Female,0,0,38,United-States,<=50K -33,Private,355856,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,60,United-States,<=50K -51,Private,122109,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K -49,Private,75673,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -49,Self-emp-inc,141058,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,2339,50,United-States,<=50K -41,Private,47902,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K -64,Private,221343,1st-4th,2,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,12,United-States,<=50K -40,Private,255675,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -49,Federal-gov,203505,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,125106,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -34,Private,139890,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,76878,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -47,Self-emp-not-inc,28035,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,86,United-States,<=50K -30,Private,43953,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,1974,40,United-States,<=50K -36,Private,163237,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -23,Local-gov,55890,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,255934,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,<=50K -61,Private,168654,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,Canada,<=50K -47,Self-emp-not-inc,39986,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,208451,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,Private,206681,12th,8,Never-married,Sales,Not-in-family,White,Female,0,0,55,United-States,<=50K -33,Private,117779,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,46,United-States,>50K -36,Self-emp-not-inc,129150,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -38,?,177273,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,35,United-States,<=50K -34,Local-gov,226443,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -56,Private,146326,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,187901,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,23,United-States,<=50K -26,Private,97153,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,40,United-States,>50K -49,Private,188694,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -71,Private,187493,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -19,Private,212468,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -20,Private,84726,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,137907,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -51,Private,34361,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,20,United-States,>50K -38,Private,254114,Some-college,10,Married-spouse-absent,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -38,Private,170174,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -35,Self-emp-not-inc,190895,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,25,United-States,<=50K -24,Local-gov,317443,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,<=50K -40,Private,375603,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Male,0,0,40,United-States,<=50K -21,Private,203076,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -49,Private,53893,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,?,171748,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,24,United-States,<=50K -54,Private,167770,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,55,United-States,>50K -52,Private,204584,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,42,United-States,<=50K -27,Private,660870,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -20,Private,105686,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,?,70282,Masters,14,Married-civ-spouse,?,Wife,Black,Female,15024,0,2,United-States,>50K -31,Private,148607,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,255849,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -19,Federal-gov,255921,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,England,<=50K -33,Private,113326,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,440456,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,105493,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,259757,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,653,50,United-States,>50K -37,Local-gov,89491,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,171818,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,51151,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,188957,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,97933,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Self-emp-inc,195447,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -63,?,46907,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,>50K -54,Self-emp-inc,383365,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -32,Self-emp-not-inc,203408,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -29,Local-gov,148182,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -26,Local-gov,211497,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,48063,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -57,Private,211804,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,50,United-States,>50K -54,Private,185407,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,225927,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -23,Federal-gov,314525,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Self-emp-not-inc,208577,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -42,Private,222884,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K -31,Private,209538,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Local-gov,177114,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -50,Private,173754,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Local-gov,121370,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -37,Private,67125,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -26,Private,67240,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,198346,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -24,Private,141003,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,25,United-States,<=50K -24,Self-emp-inc,60668,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,104256,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,34,United-States,<=50K -47,Private,131002,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -33,Self-emp-not-inc,155151,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1740,50,United-States,<=50K -26,Private,177720,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K -20,Private,39615,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,203871,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,40,United-States,>50K -57,State-gov,25045,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Male,2174,0,37,United-States,<=50K -36,Private,112264,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,169100,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,155659,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Germany,>50K -39,Private,291665,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,4508,0,24,United-States,<=50K -29,Private,224215,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -18,Private,270502,11th,7,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K -46,Private,125487,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,51385,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -41,Private,112763,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,108926,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -53,Private,366957,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,99999,0,50,India,>50K -36,Local-gov,109766,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Male,0,0,60,United-States,<=50K -38,Private,226106,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -75,Self-emp-not-inc,92792,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -26,Private,186950,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -44,Private,230478,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -25,Private,231638,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -31,Private,120461,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -49,Private,33673,12th,8,Never-married,Transport-moving,Not-in-family,Asian-Pac-Islander,Male,0,0,35,United-States,<=50K -34,Private,191385,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -31,Self-emp-not-inc,229946,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Columbia,<=50K -47,Self-emp-not-inc,160131,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,190895,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K -18,Private,126021,HS-grad,9,Never-married,Craft-repair,Own-child,White,Female,0,0,20,United-States,<=50K -47,Private,27815,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,1719,30,United-States,<=50K -42,Private,203542,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,144592,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -38,Local-gov,223004,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,75,United-States,<=50K -22,Private,183257,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -32,Private,172714,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,131611,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,48,United-States,<=50K -41,Private,253060,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,471990,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,46,United-States,>50K -44,Private,138966,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,38,United-States,<=50K -35,Private,385412,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,?,184101,Some-college,10,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -60,Private,103344,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,40,United-States,>50K -36,Local-gov,135786,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K -30,Private,227359,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -40,State-gov,86912,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -21,Private,83033,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,2176,0,20,United-States,<=50K -25,Private,172581,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,State-gov,274111,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,1669,40,United-States,<=50K -42,Private,187795,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,55,United-States,>50K -26,Private,483822,7th-8th,4,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,Guatemala,<=50K -66,Self-emp-inc,220543,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -48,Private,152953,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,Dominican-Republic,<=50K -35,Private,239755,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K -41,Private,177905,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -19,Private,200136,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -55,Self-emp-not-inc,111625,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,336513,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,60,United-States,>50K -45,Private,162915,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Private,116662,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,24763,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -65,Private,225580,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -30,Private,169104,Assoc-acdm,12,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -43,Private,212894,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,93997,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Italy,<=50K -22,Private,189924,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -23,Private,274424,11th,7,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,188246,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,284211,HS-grad,9,Widowed,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K -21,Private,198259,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -31,Private,368517,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -34,Private,168768,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -33,Federal-gov,122220,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,>50K -32,Private,136204,Masters,14,Separated,Exec-managerial,Not-in-family,White,Male,0,2824,55,United-States,>50K -44,Private,175641,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -21,State-gov,173324,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K -75,Local-gov,31195,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -55,Federal-gov,88876,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,United-States,>50K -43,Self-emp-not-inc,176069,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,16,United-States,<=50K -31,Private,215297,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -41,Private,198425,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -26,Local-gov,180957,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -23,Private,206129,Assoc-voc,11,Never-married,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K -42,Federal-gov,65950,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -29,Private,197618,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,185357,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -28,Private,134890,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -64,?,193043,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -35,Federal-gov,153633,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -65,Private,115890,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K -34,Private,394447,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,2463,0,50,France,<=50K -58,Private,343957,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -63,?,247986,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K -50,Private,238959,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,60,?,>50K -59,Private,159048,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,423222,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -30,Private,89735,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -28,Private,31778,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -51,?,157327,5th-6th,3,Married-civ-spouse,?,Husband,Black,Male,0,0,8,United-States,<=50K -47,Private,233511,Masters,14,Divorced,Sales,Not-in-family,White,Male,27828,0,60,United-States,>50K -30,Private,327112,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,1564,40,United-States,>50K -34,Private,236543,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -51,State-gov,194475,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,303510,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,171242,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -28,Self-emp-not-inc,39388,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -62,Local-gov,197218,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,18,United-States,<=50K -22,State-gov,151991,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,20,United-States,<=50K -38,Private,374524,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -34,?,267352,11th,7,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -45,Local-gov,364563,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -37,Private,186035,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -21,Private,47541,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -49,Private,151107,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -24,Private,500509,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -47,Private,138107,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,2258,40,United-States,>50K -20,Federal-gov,225515,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,24,United-States,<=50K -27,Private,153291,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -40,Private,169885,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,?,112780,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -31,Local-gov,175778,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,55213,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1977,52,United-States,>50K -48,Private,38950,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -64,Self-emp-not-inc,65991,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,7298,0,45,United-States,>50K -39,Private,174330,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -50,Private,35224,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,175622,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,164678,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,<=50K -50,?,87263,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,55,United-States,>50K -54,Private,163671,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,65,United-States,>50K -17,Self-emp-not-inc,181317,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,35,United-States,<=50K -33,Federal-gov,177945,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -28,Private,47168,10th,6,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -39,Self-emp-not-inc,190023,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,168782,Assoc-voc,11,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -59,Private,175290,7th-8th,4,Never-married,Other-service,Other-relative,White,Male,0,0,32,United-States,<=50K -74,Private,145463,1st-4th,2,Widowed,Priv-house-serv,Not-in-family,Black,Female,0,0,15,United-States,<=50K -54,Private,159755,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -31,Private,113364,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K -31,Private,487742,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,304710,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K -54,Local-gov,185846,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K -42,Private,212894,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,2407,0,40,United-States,<=50K -57,Self-emp-not-inc,315460,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,<=50K -49,Private,135643,HS-grad,9,Widowed,Craft-repair,Unmarried,Asian-Pac-Islander,Female,0,0,40,South,<=50K -40,Private,220977,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,3103,0,40,India,>50K -19,?,117444,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -38,Private,202683,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,164866,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,>50K -43,Private,191814,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K -32,?,227160,Some-college,10,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Private,158077,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -38,Private,191103,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,99,United-States,>50K -25,Private,193701,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -40,Private,143046,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -34,Private,206297,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -35,Self-emp-not-inc,188563,HS-grad,9,Divorced,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K -53,Private,35102,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,34,United-States,<=50K -21,Private,203055,Some-college,10,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -43,Private,309932,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,243432,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -22,Private,177107,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,35,United-States,<=50K -64,Self-emp-not-inc,113929,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -19,?,291509,12th,8,Never-married,?,Own-child,White,Male,0,0,28,United-States,<=50K -40,Private,222011,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,3325,0,40,United-States,<=50K -34,Private,186824,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,70,United-States,<=50K -46,Private,192768,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -35,Private,234962,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K -32,Private,83253,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -26,Private,248990,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,346159,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Private,272656,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,55,United-States,>50K -22,Private,60552,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -29,State-gov,33798,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -38,Self-emp-not-inc,112158,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,99,United-States,<=50K -55,Private,200992,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -26,Private,98155,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -34,Self-emp-inc,79586,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Other,Male,0,0,60,United-States,<=50K -25,State-gov,143062,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -39,Private,101146,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,4650,0,40,United-States,<=50K -18,?,284450,11th,7,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -58,State-gov,159021,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -34,Local-gov,353270,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K -29,Self-emp-not-inc,162312,Some-college,10,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,45,South,<=50K -49,State-gov,231961,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Male,0,0,50,United-States,>50K -38,Private,181943,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -21,Private,163595,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -28,Private,130856,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -42,Private,208875,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,El-Salvador,>50K -29,Self-emp-not-inc,58744,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,60,United-States,<=50K -48,Private,116641,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -40,Private,69333,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,320811,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -34,Private,197886,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -57,Self-emp-not-inc,253914,1st-4th,2,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,Mexico,<=50K -24,Private,89154,9th,5,Never-married,Other-service,Not-in-family,White,Male,0,0,40,El-Salvador,<=50K -32,Private,372317,9th,5,Separated,Other-service,Unmarried,White,Female,0,0,23,Mexico,<=50K -18,Self-emp-not-inc,296090,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,48,?,<=50K -39,Private,192614,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,56,United-States,<=50K -39,Private,403489,11th,7,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,169652,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -20,Private,217467,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -27,?,162104,9th,5,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -54,Private,175912,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,179533,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,75,United-States,>50K -27,Private,149624,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,United-States,<=50K -27,Private,289147,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -43,Federal-gov,347720,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K -22,Private,406978,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K -17,Private,193199,11th,7,Never-married,Sales,Unmarried,White,Female,0,0,12,Poland,<=50K -37,Self-emp-inc,163998,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -49,Private,173115,10th,6,Separated,Exec-managerial,Not-in-family,Black,Male,4416,0,99,United-States,<=50K -33,Private,333701,Assoc-voc,11,Never-married,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K -21,State-gov,48121,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,1602,10,United-States,<=50K -45,Private,186256,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,104525,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,104097,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,60,United-States,<=50K -71,Private,212806,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,36,United-States,<=50K -23,Local-gov,203353,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,45,United-States,<=50K -41,Private,130126,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,>50K -21,?,270043,10th,6,Never-married,?,Unmarried,White,Female,0,0,30,United-States,<=50K -47,Private,218435,HS-grad,9,Married-spouse-absent,Sales,Unmarried,White,Female,0,0,20,Cuba,<=50K -30,Private,154120,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K -40,Private,193537,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Dominican-Republic,<=50K -44,Private,84535,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K -50,Private,150999,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K -31,State-gov,157673,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -68,Private,217424,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,24,United-States,<=50K -45,Private,358886,12th,8,Married-civ-spouse,Adm-clerical,Husband,White,Male,2407,0,50,United-States,<=50K -38,Private,186191,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -78,Self-emp-inc,212660,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,10,United-States,<=50K -31,Self-emp-inc,31740,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K -39,Private,498785,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,35945,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,45,United-States,>50K -46,Local-gov,162566,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,Canada,<=50K -30,Private,118861,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K -34,Private,206609,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,35,United-States,<=50K -30,Federal-gov,423064,HS-grad,9,Separated,Adm-clerical,Other-relative,Black,Male,0,0,35,United-States,<=50K -47,Private,191957,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K -40,Private,223934,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,17,United-States,>50K -62,?,129246,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,195486,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,70,Jamaica,<=50K -40,Private,114580,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Female,0,0,40,Vietnam,<=50K -20,Private,119215,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,240554,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -55,Private,199067,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,42,United-States,>50K -51,Private,144084,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -38,Private,358682,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -49,Local-gov,59612,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -49,State-gov,391585,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -30,Local-gov,101345,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,26,United-States,<=50K -20,Private,117618,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,231238,9th,5,Separated,Farming-fishing,Unmarried,Black,Male,0,0,40,United-States,<=50K -42,Local-gov,143046,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Private,326857,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,2415,65,United-States,>50K -43,Private,203642,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -62,Private,88579,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -21,Private,240517,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,70,United-States,<=50K -58,Local-gov,156649,1st-4th,2,Widowed,Handlers-cleaners,Unmarried,Black,Male,0,0,40,United-States,<=50K -30,Private,143392,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -37,Private,365465,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,70,Philippines,<=50K -22,State-gov,264710,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -64,State-gov,223830,9th,5,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -42,Private,154374,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -43,State-gov,242521,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,124569,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,209230,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,6,United-States,<=50K -21,Private,162228,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -45,Federal-gov,60267,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -55,Self-emp-not-inc,76901,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -24,Private,137876,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -70,Self-emp-not-inc,347910,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -27,Local-gov,138917,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -34,Private,532379,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,31532,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,30973,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,117295,1st-4th,2,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -32,Private,295282,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -42,Private,190786,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,246207,Bachelors,13,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -50,Private,130780,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -36,Private,186212,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -42,Private,175526,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,207025,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,6849,0,38,United-States,<=50K -39,Federal-gov,82622,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -51,Private,199688,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,?,>50K -38,State-gov,318886,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,52,United-States,<=50K -18,Private,256005,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -63,Self-emp-not-inc,217715,5th-6th,3,Never-married,Sales,Not-in-family,White,Female,0,0,3,United-States,<=50K -50,Private,205803,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -82,Self-emp-not-inc,240491,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Cuba,<=50K -33,Private,154120,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K -37,Private,69251,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -24,Private,333505,HS-grad,9,Married-spouse-absent,Transport-moving,Own-child,White,Male,0,0,40,Peru,<=50K -31,Private,168521,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -59,Private,193568,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -18,Private,426895,12th,8,Never-married,Farming-fishing,Own-child,White,Male,0,0,55,United-States,<=50K -47,Self-emp-not-inc,131826,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,79646,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,167031,Bachelors,13,Never-married,Prof-specialty,Unmarried,Other,Female,0,0,33,United-States,<=50K -34,Private,73199,11th,7,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -50,Private,114056,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,84,United-States,<=50K -57,Self-emp-not-inc,110417,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,75,United-States,<=50K -60,Private,33266,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,154410,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -56,?,154537,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,50,United-States,>50K -18,Private,27780,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -26,Private,142914,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,75,United-States,<=50K -37,Private,190987,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,7298,0,40,United-States,>50K -20,Private,314422,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -29,Local-gov,273771,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -30,Private,175083,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,52,United-States,<=50K -21,Private,63665,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -24,Local-gov,193416,Some-college,10,Never-married,Protective-serv,Own-child,White,Female,0,0,40,United-States,<=50K -51,Private,74275,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,122609,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,225456,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K -36,Local-gov,116892,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,196971,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,72,United-States,<=50K -20,Private,105312,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -46,Private,108699,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -44,Private,171615,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -39,Private,388023,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -39,Private,181553,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K -45,Private,170850,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,>50K -28,Private,187479,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -44,Private,277720,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K -48,Local-gov,493862,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,7298,0,38,United-States,>50K -27,Private,220754,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,70,United-States,<=50K -34,Self-emp-not-inc,209768,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,93225,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Federal-gov,341709,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,236242,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -21,Private,121889,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -18,Private,318190,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -63,Self-emp-not-inc,111306,7th-8th,4,Widowed,Farming-fishing,Unmarried,White,Female,0,0,10,United-States,<=50K -18,Private,198614,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,8,United-States,<=50K -32,Private,193231,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,?,104614,11th,7,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,172368,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K -23,Private,60331,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -38,Private,154568,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -36,Private,192939,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K -43,Private,138184,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,1762,35,United-States,<=50K -45,Private,238567,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,England,>50K -30,Private,208068,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K -46,Private,181810,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,4064,0,40,United-States,<=50K -24,Federal-gov,283918,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,25,United-States,<=50K -42,Private,107276,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,2444,40,United-States,>50K -23,Private,37783,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,263552,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -48,Private,255439,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Self-emp-inc,344275,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K -31,Private,70568,1st-4th,2,Never-married,Other-service,Other-relative,White,Female,0,0,25,El-Salvador,<=50K -18,Private,127827,12th,8,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -36,Private,185203,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Private,123436,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -51,Self-emp-not-inc,136322,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1579,40,United-States,<=50K -22,Private,187052,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -72,Private,177769,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K -61,Private,68268,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K -42,Private,424855,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3908,0,40,United-States,<=50K -37,Federal-gov,81853,HS-grad,9,Divorced,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,?,<=50K -30,Self-emp-inc,153549,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -40,Private,271393,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,198148,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -65,Private,469602,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K -36,Private,163290,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,295949,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,125279,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -64,Local-gov,182866,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -61,Self-emp-not-inc,111563,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,>50K -38,Private,34173,Bachelors,13,Never-married,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K -27,Private,183627,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -24,Private,197757,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -39,Private,98941,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -44,Private,205474,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -47,Private,206659,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -73,?,191394,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -66,Private,244661,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -53,Private,47396,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -43,State-gov,270721,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -57,State-gov,32694,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -44,Private,171256,Assoc-acdm,12,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,45,United-States,<=50K -59,Private,169982,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2002,50,United-States,<=50K -52,Self-emp-not-inc,217210,HS-grad,9,Widowed,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K -46,Private,218329,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,386643,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -37,Federal-gov,125933,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -41,Self-emp-not-inc,155767,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -39,Federal-gov,432555,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,1628,40,United-States,<=50K -30,Private,54929,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -59,Private,162136,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,56,United-States,<=50K -22,Private,256504,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,162098,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -39,Self-emp-not-inc,103110,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,227610,10th,6,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,58,United-States,<=50K -63,Private,176696,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -51,Private,220019,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Self-emp-inc,242984,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -38,Private,187847,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -17,Private,132636,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -20,Private,108887,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -42,Self-emp-not-inc,195897,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,112181,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,12,United-States,>50K -56,Local-gov,391926,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,195505,10th,6,Never-married,Sales,Own-child,White,Male,0,0,5,United-States,<=50K -31,Private,43819,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,43,United-States,>50K -23,Private,145389,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -33,?,186824,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -36,Local-gov,101833,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,82283,5th-6th,3,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -52,Private,99602,HS-grad,9,Separated,Craft-repair,Own-child,Black,Female,0,0,40,United-States,<=50K -28,Private,213276,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -59,Private,424468,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K -30,Private,176123,10th,6,Never-married,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -32,Private,38797,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,101859,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -53,Private,87158,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,205066,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K -26,Private,56929,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,50,?,<=50K -34,Private,25322,Bachelors,13,Married-spouse-absent,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,2339,40,?,<=50K -31,Private,87950,Assoc-voc,11,Divorced,Sales,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -34,Private,150154,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -58,Private,142076,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Male,4787,0,39,United-States,>50K -30,State-gov,112139,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,149217,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -27,Private,189974,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -23,Private,109199,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -24,Private,190290,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -36,Private,189404,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,35,United-States,>50K -33,Federal-gov,428271,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K -22,State-gov,134192,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,10,United-States,<=50K -47,Private,168211,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -34,Private,277314,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,Black,Male,0,1902,50,United-States,>50K -44,Federal-gov,316120,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,>50K -41,Private,107276,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -45,?,112453,HS-grad,9,Separated,?,Not-in-family,Asian-Pac-Islander,Male,0,0,4,United-States,<=50K -24,Private,346909,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,Mexico,<=50K -65,?,105017,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,317360,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -23,Private,189017,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K -54,Private,138179,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,299813,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,37,Dominican-Republic,<=50K -45,Private,265083,5th-6th,3,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,35,Mexico,<=50K -50,Private,185846,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,184655,Assoc-acdm,12,Never-married,Other-service,Other-relative,White,Male,0,0,25,United-States,<=50K -24,Private,200295,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,117319,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,40,United-States,<=50K -50,Private,63000,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -58,Self-emp-not-inc,106942,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -47,Private,52795,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,46,United-States,<=50K -37,Private,51264,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,99,France,>50K -37,Self-emp-not-inc,410919,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -22,Private,105592,Assoc-acdm,12,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -29,Self-emp-not-inc,183151,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K -45,Private,209912,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -49,Self-emp-not-inc,275845,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -44,Local-gov,241851,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,4386,0,40,United-States,>50K -72,Private,89299,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,16,United-States,<=50K -63,Self-emp-not-inc,106648,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,12,United-States,<=50K -26,Private,58426,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -58,Self-emp-not-inc,121912,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K -40,Private,170730,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -56,Private,257555,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,51499,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K -28,Private,195000,Bachelors,13,Never-married,Sales,Other-relative,White,Female,0,0,45,United-States,<=50K -57,Private,108741,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -37,Private,184964,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K -44,Private,156815,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,49325,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,121718,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Germany,<=50K -18,Private,172076,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -57,Self-emp-not-inc,327901,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -53,Local-gov,215990,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -38,Private,210866,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K -33,Private,322873,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -42,Private,265698,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -70,?,26990,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K -50,Private,177896,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -50,Private,189107,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,306830,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Nicaragua,<=50K -72,Federal-gov,39110,11th,7,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,8,Canada,<=50K -33,Private,155475,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,135803,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,25,Philippines,<=50K -48,Private,117849,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -64,Self-emp-not-inc,339321,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,24,United-States,>50K -19,Private,318822,11th,7,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,35,United-States,<=50K -48,Private,174794,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,204277,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1848,48,United-States,>50K -55,Private,182460,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,35,United-States,>50K -24,Private,193920,Masters,14,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,45,?,<=50K -42,Federal-gov,91468,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,106760,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,50,Canada,>50K -34,Private,375680,Assoc-acdm,12,Never-married,Craft-repair,Own-child,Black,Female,0,0,40,United-States,<=50K -55,Self-emp-inc,222615,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -22,Private,190968,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,76767,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -50,Self-emp-not-inc,203098,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -47,Local-gov,162187,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,40,United-States,>50K -25,Private,242729,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -52,Private,253784,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -30,Private,206051,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,181553,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -73,Self-emp-inc,80986,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -50,Private,200783,7th-8th,4,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -34,Private,42596,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -24,Private,464502,Assoc-acdm,12,Never-married,Sales,Not-in-family,Black,Male,0,0,40,?,<=50K -66,Private,205724,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,24,United-States,>50K -22,Private,446140,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,55,United-States,<=50K -69,Local-gov,32287,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,25,United-States,<=50K -23,Private,56774,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -55,Private,308118,Bachelors,13,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,?,<=50K -35,Private,176279,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -20,Private,103277,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -70,Self-emp-inc,225780,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,>50K -54,Private,154728,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,7688,0,40,United-States,>50K -34,Private,149943,HS-grad,9,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K -38,State-gov,22245,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -33,Private,93056,7th-8th,4,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,270522,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,26,United-States,<=50K -60,Self-emp-inc,123218,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -81,Self-emp-not-inc,123959,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,1668,3,Hungary,<=50K -32,Self-emp-not-inc,103642,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -34,Private,157747,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -46,Self-emp-not-inc,154083,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,25,United-States,<=50K -30,State-gov,23037,Some-college,10,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Male,0,0,84,United-States,<=50K -23,?,226891,HS-grad,9,Never-married,?,Other-relative,Asian-Pac-Islander,Female,0,0,20,South,<=50K -29,Private,50028,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,138251,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -31,Private,369825,7th-8th,4,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,25,United-States,<=50K -36,Federal-gov,44364,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,36,United-States,<=50K -23,Private,230704,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,22,United-States,<=50K -35,Private,42044,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,United-States,<=50K -28,Local-gov,56340,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,State-gov,156015,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Private,163434,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,85251,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -38,Self-emp-inc,187411,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -47,Private,155124,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,1669,40,United-States,<=50K -25,Private,396633,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,56,United-States,>50K -45,Private,182313,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -38,Private,52596,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -66,?,260111,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -65,Local-gov,143570,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -30,Private,160634,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,>50K -54,Private,29909,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,43,United-States,<=50K -49,Private,94215,12th,8,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Self-emp-not-inc,151990,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,15,United-States,>50K -48,Federal-gov,188081,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -23,Private,218445,5th-6th,3,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,12,Mexico,<=50K -77,Private,235775,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,Cuba,<=50K -19,Private,98605,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -30,Private,188398,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -41,Self-emp-inc,140365,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,55,United-States,>50K -35,Private,202950,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,Iran,>50K -20,Private,218215,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -66,Self-emp-inc,197816,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,10605,0,40,United-States,>50K -49,Private,147002,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K -52,Private,138497,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -24,Private,57711,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K -50,Private,169925,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,15,United-States,<=50K -22,Private,72310,11th,7,Never-married,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K -19,Private,170800,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -39,Private,215095,11th,7,Never-married,Prof-specialty,Unmarried,White,Female,0,0,30,Puerto-Rico,<=50K -45,Private,480717,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,38,?,<=50K -61,Local-gov,34632,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -45,Private,140664,Assoc-acdm,12,Divorced,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K -36,Local-gov,177858,Bachelors,13,Married-civ-spouse,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,160369,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,45,United-States,>50K -38,Private,129102,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -52,Local-gov,278522,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -29,Federal-gov,124953,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,42,United-States,>50K -33,Private,63184,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,165815,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,248584,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K -46,Local-gov,226871,Bachelors,13,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,50,United-States,>50K -44,Private,267717,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,45,United-States,>50K -19,Private,60367,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,13,United-States,<=50K -44,Private,134120,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -40,Private,95639,HS-grad,9,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -20,Private,132053,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,2,United-States,<=50K -24,Private,138768,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -76,Private,203910,HS-grad,9,Widowed,Other-service,Not-in-family,White,Male,0,0,17,United-States,<=50K -20,Private,109952,HS-grad,9,Married-civ-spouse,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K -33,Private,155781,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -31,Private,49398,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,159303,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,248339,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -29,Private,190539,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1590,50,United-States,<=50K -30,Private,183620,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -48,Private,25468,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,99999,0,50,United-States,>50K -42,Private,201495,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,52221,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -54,Self-emp-inc,96460,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K -42,Private,325353,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,42,United-States,>50K -28,Self-emp-not-inc,176027,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K -42,Local-gov,266135,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,>50K -60,State-gov,194252,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,3103,0,40,United-States,>50K -76,?,164835,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -21,Private,363192,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,31360,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,63503,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -44,Private,157614,HS-grad,9,Divorced,Sales,Own-child,White,Male,0,0,38,United-States,<=50K -45,Private,160647,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,4687,0,35,United-States,>50K -38,Private,363395,Some-college,10,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -28,Private,338376,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -29,Private,87523,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -20,Private,280714,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -49,Self-emp-inc,119565,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -36,Local-gov,171482,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,>50K -40,Self-emp-inc,49249,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -17,Private,331552,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -45,Private,174426,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,184105,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,28,United-States,<=50K -29,Private,37933,Bachelors,13,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -57,Self-emp-not-inc,291529,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,13,United-States,>50K -23,Private,376416,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,263612,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,Haiti,<=50K -23,Private,227471,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K -39,Private,191103,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,35644,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,Self-emp-not-inc,227298,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -25,State-gov,187508,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,184378,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,Puerto-Rico,<=50K -52,Self-emp-not-inc,190333,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,25,United-States,<=50K -48,Private,155372,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,36,United-States,<=50K -37,Private,259882,Assoc-voc,11,Never-married,Sales,Unmarried,Black,Female,0,0,6,United-States,<=50K -36,Private,217077,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,103596,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -36,Local-gov,188236,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -24,Private,353010,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,10,United-States,<=50K -42,Local-gov,70655,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Self-emp-inc,64874,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -40,Federal-gov,219240,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,22,United-States,<=50K -50,Self-emp-inc,104849,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K -40,Private,173590,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -22,Private,412316,HS-grad,9,Never-married,Sales,Other-relative,Black,Male,0,0,40,?,<=50K -57,Self-emp-inc,195835,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -51,Local-gov,170579,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -61,Federal-gov,230545,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,Puerto-Rico,<=50K -71,Private,162297,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,20,United-States,<=50K -47,Private,169549,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -38,Private,117528,Bachelors,13,Never-married,Other-service,Other-relative,White,Female,0,0,45,United-States,<=50K -25,Private,273876,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K -33,Private,529104,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -40,State-gov,456110,11th,7,Divorced,Transport-moving,Unmarried,White,Female,0,0,52,United-States,<=50K -39,?,180868,11th,7,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -29,Private,170301,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,2829,0,40,United-States,<=50K -33,Private,55717,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,166181,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,36,United-States,<=50K -24,Private,52242,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -28,Private,224629,Masters,14,Never-married,Exec-managerial,Not-in-family,Other,Male,0,0,30,Cuba,<=50K -20,Private,197997,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,46144,Some-college,10,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -34,State-gov,180871,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,<=50K -25,Private,212311,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,Private,232874,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,175999,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,177121,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,58,United-States,<=50K -57,Private,299358,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,0,1719,25,United-States,<=50K -20,?,326624,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -56,Private,129836,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,10,United-States,<=50K -24,Private,225515,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -60,Private,145664,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K -37,Private,151764,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,183523,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -54,Private,257869,Some-college,10,Separated,Other-service,Not-in-family,White,Male,0,0,28,Columbia,<=50K -40,Private,73025,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,30,China,<=50K -18,Private,165532,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -51,Federal-gov,140035,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -40,Self-emp-not-inc,325159,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -64,Federal-gov,161926,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,8,United-States,<=50K -24,Private,163665,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,2174,0,40,United-States,<=50K -33,Private,106938,HS-grad,9,Married-civ-spouse,Tech-support,Wife,Black,Female,0,0,38,United-States,<=50K -31,Private,97453,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Local-gov,242464,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,3103,0,40,United-States,>50K -54,Private,155233,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,14084,0,40,United-States,>50K -31,Private,248653,1st-4th,2,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,37,Mexico,<=50K -39,Private,59313,12th,8,Married-spouse-absent,Transport-moving,Not-in-family,Black,Male,0,0,45,?,<=50K -22,Private,141297,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,227325,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -68,Private,123653,5th-6th,3,Separated,Other-service,Not-in-family,White,Male,0,0,12,Italy,<=50K -59,Federal-gov,176317,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K -35,Self-emp-not-inc,77146,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,45,United-States,<=50K -25,Private,169124,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,179413,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -35,Private,180137,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,<=50K -17,State-gov,179319,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -19,Private,45766,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K -53,Private,152810,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,55,United-States,>50K -59,Private,214052,5th-6th,3,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,201141,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,37,United-States,<=50K -74,Self-emp-not-inc,43599,HS-grad,9,Widowed,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -28,Private,292536,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -40,Private,82161,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,180656,Some-college,10,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K -20,Private,181370,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -80,Private,148623,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -51,Private,84399,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -17,Private,143331,10th,6,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -37,Federal-gov,48779,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -19,?,175495,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,24,United-States,<=50K -58,Private,83542,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Private,214619,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,160035,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Federal-gov,39603,Some-college,10,Never-married,Craft-repair,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -36,Private,181589,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,32,Columbia,<=50K -33,Private,261511,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,29522,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -30,Private,36340,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,24,United-States,<=50K -41,Private,320984,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,65,United-States,>50K -57,?,403625,Some-college,10,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,60,United-States,>50K -23,Private,122346,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,105794,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,14084,0,50,United-States,>50K -53,Private,152883,HS-grad,9,Widowed,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -31,State-gov,123037,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,13,United-States,<=50K -41,?,339682,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,40,Mexico,<=50K -36,Private,182074,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K -30,Private,248588,12th,8,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,187584,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Canada,<=50K -36,Private,46706,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,190290,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -48,Self-emp-not-inc,247294,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,Peru,<=50K -22,Private,117779,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,121602,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,451744,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -32,Private,107793,HS-grad,9,Divorced,Other-service,Own-child,White,Male,2174,0,40,United-States,<=50K -35,Private,339772,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -21,Private,185582,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,43,United-States,<=50K -26,Private,260614,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -19,Local-gov,53220,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -43,Private,213844,HS-grad,9,Married-AF-spouse,Craft-repair,Wife,Black,Female,0,0,42,United-States,>50K -33,Private,213226,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -30,Private,58582,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,10,United-States,<=50K -52,Private,193116,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -38,Local-gov,201410,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,190525,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,46,United-States,>50K -57,Self-emp-not-inc,138285,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Iran,<=50K -51,Private,111939,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -50,Private,109277,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -32,Private,331539,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,China,>50K -32,Private,396745,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,48,United-States,>50K -37,Private,126675,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -69,Self-emp-not-inc,349022,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,33,United-States,<=50K -33,?,98145,Some-college,10,Divorced,?,Unmarried,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K -37,Private,234901,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Germany,>50K -36,Private,100681,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,2463,0,40,United-States,<=50K -47,Self-emp-not-inc,265097,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -63,Private,237379,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,44793,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,65,United-States,<=50K -17,Private,270942,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,35,Mexico,<=50K -56,Private,193622,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -90,Local-gov,187749,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,20,Philippines,<=50K -27,Private,160178,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -38,Private,680390,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -33,Private,96245,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,34803,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,170091,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -42,Private,231813,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,23789,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,State-gov,438711,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,<=50K -66,Private,169804,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,20051,0,40,United-States,>50K -66,Local-gov,376506,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,3273,0,40,United-States,<=50K -49,Private,28791,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,162814,HS-grad,9,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,45,United-States,<=50K -38,Private,58108,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -40,Self-emp-inc,102226,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -22,Federal-gov,209131,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -46,Self-emp-not-inc,157117,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,172865,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -19,Private,29798,12th,8,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,20,United-States,<=50K -71,?,229424,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Local-gov,80680,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,1151,0,35,United-States,<=50K -52,Local-gov,238959,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,32,United-States,>50K -27,Private,189462,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,46,United-States,<=50K -52,Private,139347,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,40,United-States,<=50K -31,Private,188108,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,4101,0,40,United-States,<=50K -37,Self-emp-inc,111128,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -28,Private,81540,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,257562,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -31,Private,59496,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -29,Private,29974,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,102597,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -69,Private,41419,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -50,Private,118565,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -54,State-gov,312897,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,46,England,>50K -17,Private,166290,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -34,Private,160261,HS-grad,9,Never-married,Tech-support,Own-child,Asian-Pac-Islander,Male,14084,0,35,China,>50K -32,Self-emp-not-inc,116834,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,5,?,<=50K -23,Private,203076,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -66,Private,201197,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -61,Private,273803,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,156797,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,283896,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,149368,HS-grad,9,Divorced,Sales,Unmarried,White,Male,1151,0,30,United-States,<=50K -49,Private,156926,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K -21,?,163911,Some-college,10,Never-married,?,Own-child,White,Female,0,0,3,United-States,<=50K -56,Self-emp-inc,165881,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -25,Private,86872,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,167523,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Private,154950,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -40,Federal-gov,171231,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -62,Private,244933,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -54,Private,256908,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,25,United-States,>50K -34,Self-emp-not-inc,33442,Assoc-voc,11,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -18,Private,126142,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K -28,?,268222,11th,7,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -32,Private,167106,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,Hong,<=50K -22,Local-gov,50065,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -34,State-gov,252529,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,<=50K -53,?,199665,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K -47,Private,343579,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -19,Private,190817,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -41,Self-emp-inc,151089,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,55,United-States,>50K -46,Private,186820,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,5013,0,40,United-States,<=50K -56,Self-emp-not-inc,210731,7th-8th,4,Divorced,Sales,Other-relative,White,Male,0,0,20,Mexico,<=50K -42,Private,123816,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -25,Private,77071,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,2339,35,United-States,<=50K -42,Private,115085,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,170525,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,14344,0,40,United-States,>50K -17,Private,209949,11th,7,Never-married,Sales,Own-child,White,Female,0,1602,12,United-States,<=50K -57,Self-emp-not-inc,34297,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -40,Private,180985,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -62,Local-gov,33365,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,40,Canada,<=50K -20,Private,197752,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,16,United-States,<=50K -47,Private,180551,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -40,Private,77975,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,159297,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,40,?,>50K -48,Private,94342,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -39,Self-emp-inc,34180,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -46,Local-gov,367251,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -72,Self-emp-inc,172407,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -53,Private,303462,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,United-States,<=50K -47,Federal-gov,220269,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -40,Self-emp-not-inc,45093,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,Canada,<=50K -34,Private,101709,HS-grad,9,Separated,Transport-moving,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -41,Private,219591,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,76625,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,342599,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -42,Self-emp-inc,125846,1st-4th,2,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,?,<=50K -54,Local-gov,238257,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -39,Self-emp-inc,206253,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -37,Private,172571,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Private,95165,Doctorate,16,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -69,Private,141181,5th-6th,3,Married-civ-spouse,Adm-clerical,Husband,White,Male,1797,0,40,United-States,<=50K -24,Private,267843,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,35,United-States,<=50K -36,Private,181382,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,40,United-States,>50K -21,?,207782,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -68,?,103161,HS-grad,9,Widowed,?,Not-in-family,White,Male,0,0,32,United-States,<=50K -20,Private,132320,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Self-emp-not-inc,201138,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -48,Private,239058,12th,8,Widowed,Handlers-cleaners,Unmarried,White,Female,0,0,50,United-States,<=50K -39,Self-emp-inc,239755,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K -21,Private,176262,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,18,United-States,<=50K -22,Private,264738,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Female,0,0,42,Germany,<=50K -34,Private,182218,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,318982,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -46,Private,216666,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Guatemala,<=50K -47,Private,274200,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -65,Private,150095,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -23,Private,192978,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,68021,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -34,Self-emp-not-inc,28568,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K -20,Private,115057,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,139568,11th,7,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Self-emp-inc,138497,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -40,State-gov,182460,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,38,China,>50K -22,Private,253310,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,7,United-States,<=50K -29,Self-emp-inc,130856,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -31,Self-emp-not-inc,389765,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -42,Federal-gov,52781,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -38,Private,146178,HS-grad,9,Never-married,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K -22,Private,231053,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,70,United-States,>50K -21,?,145964,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,483450,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Mexico,<=50K -43,Self-emp-inc,198316,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -33,Private,160614,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -17,Self-emp-inc,325171,10th,6,Never-married,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K -54,Self-emp-not-inc,172898,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,50,United-States,>50K -45,Private,186473,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -55,Local-gov,286967,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -51,Self-emp-not-inc,111939,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,>50K -65,Federal-gov,325089,10th,6,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -21,Private,143582,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,45,United-States,<=50K -40,Private,308027,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -58,Private,105060,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K -53,Federal-gov,39643,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,58,United-States,<=50K -39,Private,186191,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,50,United-States,>50K -56,Local-gov,267763,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,124293,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -44,Private,36271,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,143459,9th,5,Separated,Handlers-cleaners,Own-child,White,Male,0,0,38,United-States,<=50K -36,Private,186376,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K -59,Self-emp-inc,52822,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,104509,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,184456,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Male,27828,0,50,United-States,>50K -26,Private,192302,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,<=50K -22,Private,156822,10th,6,Never-married,Sales,Not-in-family,White,Female,0,1762,25,United-States,<=50K -25,Private,214413,Masters,14,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,108574,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,15,United-States,<=50K -41,Private,223934,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -45,Private,200559,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -43,Private,137722,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,261677,9th,5,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,40,United-States,<=50K -33,Private,136331,HS-grad,9,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -34,Private,329993,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,91819,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -31,Private,201122,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,45,United-States,>50K -48,Private,315423,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,103277,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -47,Private,236805,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,60,United-States,<=50K -27,Private,74883,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -18,Private,115443,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,25,United-States,<=50K -43,Private,150528,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -36,Private,43701,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -37,Federal-gov,419053,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,183594,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -24,Private,390348,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,36989,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,3908,0,70,United-States,<=50K -48,Private,247895,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -75,Private,191446,1st-4th,2,Married-civ-spouse,Other-service,Other-relative,Black,Female,0,0,16,United-States,<=50K -43,Self-emp-not-inc,33521,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,>50K -64,Private,46087,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -67,?,129188,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,20051,0,5,United-States,>50K -36,Private,356824,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Private,158746,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,153323,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,20,United-States,<=50K -73,Self-emp-not-inc,130391,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,36,United-States,<=50K -46,Private,173613,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,362883,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -43,Private,182757,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -20,Private,50397,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K -43,Federal-gov,101709,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -21,Private,202570,12th,8,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,48,?,<=50K -40,Private,145649,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,25,United-States,<=50K -36,Private,136343,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -64,Self-emp-inc,142166,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -19,?,242001,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,127089,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,38,United-States,>50K -46,Local-gov,124071,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,65,United-States,>50K -41,Local-gov,190368,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,70,United-States,<=50K -29,?,19793,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,8,United-States,<=50K -28,Private,67661,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -23,Private,62278,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -30,Federal-gov,295010,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,0,0,60,United-States,>50K -44,Private,203897,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,40,Cuba,<=50K -27,Private,265314,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -25,Private,159603,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,34,United-States,<=50K -29,Private,134331,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,123011,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Poland,>50K -27,Private,274964,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,65,United-States,<=50K -34,Private,66309,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -38,Private,73471,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -24,?,26671,HS-grad,9,Never-married,?,Other-relative,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -56,Private,357118,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -35,Self-emp-inc,184655,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,62,United-States,<=50K -23,?,55492,Assoc-voc,11,Never-married,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,30,United-States,<=50K -23,Private,175266,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,188008,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -42,Private,87284,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,35,United-States,>50K -46,Private,330087,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -48,Self-emp-inc,56975,HS-grad,9,Divorced,Sales,Unmarried,Asian-Pac-Islander,Female,0,0,84,?,<=50K -27,Private,150025,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -22,?,189203,Assoc-acdm,12,Never-married,?,Other-relative,White,Male,0,0,15,United-States,<=50K -49,Self-emp-inc,330874,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -23,Private,136824,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -24,Private,201179,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,324654,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,40,China,<=50K -25,Federal-gov,366207,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,103860,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -22,Private,106700,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,27,United-States,<=50K -54,Local-gov,163557,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -39,Self-emp-inc,286261,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,123083,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -75,Self-emp-inc,125197,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,26,United-States,<=50K -28,Self-emp-not-inc,278073,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Male,0,0,30,United-States,<=50K -50,Private,133963,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -62,Self-emp-not-inc,71467,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -40,Private,76487,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -58,Local-gov,215245,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,37,United-States,<=50K -24,Federal-gov,127185,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -21,Private,179720,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,30,United-States,<=50K -40,Private,88909,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -45,Private,341995,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,42,United-States,>50K -48,Private,173938,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -34,Private,344275,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K -23,Private,150463,HS-grad,9,Never-married,Priv-house-serv,Unmarried,Other,Female,0,0,40,Guatemala,<=50K -43,Local-gov,209544,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,10520,0,50,United-States,>50K -42,Local-gov,201723,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,343476,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,Japan,>50K -52,Self-emp-inc,77392,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -21,?,171156,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -56,Self-emp-not-inc,357118,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -48,Federal-gov,167749,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -37,Self-emp-not-inc,352882,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,70,South,>50K -25,Private,51201,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -40,Private,365986,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,>50K -34,Private,400416,11th,7,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,45,United-States,<=50K -52,Private,31533,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,106900,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,1902,42,United-States,>50K -36,Local-gov,192337,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,118712,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,1504,40,United-States,<=50K -28,Private,301654,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Self-emp-not-inc,145162,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,?,>50K -20,Private,88126,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,9,England,<=50K -68,Private,165017,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Italy,>50K -35,Private,238342,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,857532,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -64,Private,134378,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -17,Private,260797,10th,6,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,23,United-States,<=50K -25,Private,138765,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -74,?,256674,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -31,Private,247444,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Columbia,<=50K -51,State-gov,454063,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -67,Private,180539,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,10,United-States,<=50K -42,Private,397346,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K -29,Private,107160,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,262024,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -21,Private,131230,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,37,United-States,<=50K -67,Private,274451,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,16,United-States,<=50K -41,State-gov,365986,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K -27,Private,204515,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,36,United-States,<=50K -51,Private,99316,12th,8,Divorced,Transport-moving,Unmarried,White,Male,0,0,50,United-States,<=50K -21,?,206681,11th,7,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -28,Private,268726,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K -21,Private,275395,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,383322,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -29,Private,126822,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -39,Self-emp-inc,168355,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -21,Private,162667,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,Columbia,<=50K -43,Private,373403,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,274562,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,14344,0,40,United-States,>50K -28,Private,249362,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -31,Private,111567,9th,5,Never-married,Sales,Not-in-family,White,Male,0,0,43,United-States,>50K -18,?,216508,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -27,Private,145784,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Amer-Indian-Eskimo,Female,0,0,45,United-States,<=50K -34,State-gov,209317,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,259505,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,345360,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,England,<=50K -43,Local-gov,198096,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -40,Self-emp-inc,33126,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,206354,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K -25,Private,1484705,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,25,United-States,<=50K -21,Private,26410,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Self-emp-not-inc,220901,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K -49,Self-emp-inc,44671,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -20,Private,38620,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -36,Private,89040,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,47,United-States,<=50K -32,Private,370160,Some-college,10,Separated,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,208946,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,32,United-States,<=50K -21,Private,131230,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,10,United-States,<=50K -25,Private,60358,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,350853,5th-6th,3,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,?,<=50K -24,Private,209782,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,351952,Some-college,10,Never-married,Prof-specialty,Unmarried,White,Female,0,0,20,United-States,<=50K -26,Private,142081,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Mexico,<=50K -22,Private,164775,9th,5,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,Guatemala,<=50K -41,Local-gov,47858,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -18,Private,404085,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -24,Private,218678,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,184655,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,48,United-States,<=50K -36,Private,321760,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,17,United-States,<=50K -45,Local-gov,185399,Masters,14,Divorced,Prof-specialty,Own-child,White,Female,0,0,55,United-States,<=50K -38,Local-gov,409200,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -38,Private,40077,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -34,Self-emp-not-inc,31740,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Local-gov,233722,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -32,Private,192039,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -17,Private,222618,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,30,United-States,<=50K -45,State-gov,213646,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -31,Local-gov,194141,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,<=50K -47,State-gov,80282,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -27,Private,166350,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -61,Federal-gov,60641,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K -33,Private,124827,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -67,Private,105438,HS-grad,9,Separated,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K -38,Private,85244,Bachelors,13,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,120535,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Local-gov,269604,5th-6th,3,Never-married,Other-service,Unmarried,Other,Female,0,0,40,El-Salvador,<=50K -27,Private,247711,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -45,Private,380922,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -24,Private,281221,Bachelors,13,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,40,Taiwan,<=50K -23,Private,269687,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,181758,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -61,Federal-gov,136787,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -22,Private,107882,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K -34,Private,172579,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,29933,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,40,United-States,>50K -35,Federal-gov,38905,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -36,Private,168826,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,424034,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -60,Private,117509,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,?,196971,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,43,United-States,<=50K -64,Private,69525,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,20,United-States,<=50K -22,Private,374116,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -27,Private,283913,5th-6th,3,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,65,England,<=50K -36,State-gov,147258,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -27,Private,139903,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,30,United-States,<=50K -52,Private,112959,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Self-emp-not-inc,264148,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -23,Private,256211,Some-college,10,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,24,Vietnam,<=50K -29,Self-emp-not-inc,142519,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,281852,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,80,United-States,<=50K -38,Private,380543,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -50,Self-emp-not-inc,204402,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,>50K -50,Private,192203,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,199005,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -17,Self-emp-inc,61838,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,210095,11th,7,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Female,0,0,40,Mexico,<=50K -19,Private,187352,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,32451,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,140569,Some-college,10,Separated,Sales,Not-in-family,White,Male,14084,0,60,United-States,>50K -39,Private,87556,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,6849,0,40,United-States,<=50K -18,Private,79443,9th,5,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Mexico,<=50K -27,Private,212622,Masters,14,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -39,Private,32650,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K -44,Private,125461,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -19,Private,219867,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,<=50K -32,Local-gov,206609,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,101299,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -46,Private,29437,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -65,Private,87164,11th,7,Widowed,Sales,Other-relative,White,Female,0,0,20,United-States,<=50K -57,Self-emp-inc,146103,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -48,Private,169324,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,32,Haiti,<=50K -46,Private,138370,7th-8th,4,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,1651,40,China,<=50K -27,Private,29523,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -29,Local-gov,383745,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1485,40,United-States,>50K -21,?,247075,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,25,United-States,<=50K -20,?,200967,Some-college,10,Never-married,?,Own-child,White,Female,0,0,12,United-States,<=50K -51,?,175985,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-inc,189404,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1740,40,United-States,<=50K -29,Self-emp-not-inc,267661,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -30,Local-gov,182926,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,15024,0,40,United-States,>50K -65,Private,243858,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -20,?,43587,HS-grad,9,Married-spouse-absent,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -47,Federal-gov,31339,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,204682,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,2174,0,40,Japan,<=50K -17,Private,73145,9th,5,Never-married,Craft-repair,Own-child,White,Female,0,0,16,United-States,<=50K -38,Local-gov,218184,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -38,Local-gov,223237,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -39,Self-emp-not-inc,93319,HS-grad,9,Never-married,Sales,Other-relative,White,Female,0,0,4,United-States,<=50K -24,?,212300,HS-grad,9,Separated,?,Not-in-family,White,Female,0,0,38,United-States,<=50K -52,Private,187356,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,41,United-States,<=50K -46,Self-emp-not-inc,220832,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,58,United-States,>50K -22,Private,211361,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K -56,Private,134195,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -37,Self-emp-not-inc,218249,11th,7,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,30,United-States,<=50K -59,Private,70720,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,55,United-States,>50K -19,Self-emp-not-inc,342384,11th,7,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,2129,55,United-States,<=50K -31,Private,237317,9th,5,Never-married,Craft-repair,Not-in-family,Other,Male,0,0,45,United-States,<=50K -22,Private,359759,Some-college,10,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,20,Philippines,<=50K -48,Self-emp-not-inc,181758,Doctorate,16,Never-married,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,>50K -63,Self-emp-inc,267101,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,222221,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,45,United-States,>50K -53,Private,55139,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,10,United-States,<=50K -38,Private,220237,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,>50K -39,Private,101073,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,24,United-States,<=50K -59,Private,69884,Prof-school,15,Married-spouse-absent,Prof-specialty,Unmarried,White,Male,0,0,50,United-States,<=50K -45,Private,201127,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,164733,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -60,State-gov,129447,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -38,Private,32837,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,56,United-States,<=50K -31,Private,200117,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,Self-emp-not-inc,219183,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -66,?,188842,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K -26,Private,272669,Bachelors,13,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,20,South,<=50K -60,Self-emp-inc,336188,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,80,United-States,>50K -68,?,191288,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,0,15,United-States,<=50K -32,Private,176185,Some-college,10,Divorced,Exec-managerial,Other-relative,White,Male,0,0,60,United-States,<=50K -25,Local-gov,197728,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,20,United-States,<=50K -43,Local-gov,144778,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,<=50K -26,?,133373,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,44,United-States,<=50K -55,Private,197399,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,55,United-States,>50K -66,Private,86010,10th,6,Widowed,Transport-moving,Not-in-family,White,Female,0,0,11,United-States,<=50K -31,Private,228873,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,187415,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,50,?,<=50K -58,Self-emp-inc,112945,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,27828,0,40,United-States,>50K -56,Private,98361,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -22,Private,129172,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -46,Local-gov,316205,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -33,Private,226629,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K -26,State-gov,180886,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -42,Self-emp-not-inc,69333,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -45,Private,213620,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -43,Private,197397,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,Other,Female,0,0,6,Puerto-Rico,<=50K -19,Private,223648,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,?,<=50K -27,Private,179915,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,99,United-States,<=50K -51,Private,339905,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -42,Private,112956,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,421837,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,50,Mexico,>50K -38,Private,187999,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -44,Private,77313,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,231948,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,64,United-States,>50K -37,Private,37109,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,60,Philippines,<=50K -29,Private,79387,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -53,?,133963,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Self-emp-not-inc,177937,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,45,Poland,<=50K -80,Private,173488,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -61,Private,183355,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,147989,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,52,United-States,<=50K -20,Private,289944,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -23,Private,62278,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -48,Federal-gov,110457,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -24,Private,295763,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,50,United-States,<=50K -71,State-gov,100063,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -49,Private,194962,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,6,United-States,<=50K -39,Federal-gov,227597,HS-grad,9,Never-married,Armed-Forces,Not-in-family,White,Male,0,0,50,United-States,<=50K -22,Private,117606,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -67,Federal-gov,44774,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,177648,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -38,Private,172571,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,54,United-States,>50K -38,?,203482,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,<=50K -50,Private,153931,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Self-emp-not-inc,84774,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,40,United-States,<=50K -23,Private,157127,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -26,Private,170786,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,281030,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,203761,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,10520,0,40,United-States,>50K -27,Private,167405,HS-grad,9,Married-spouse-absent,Farming-fishing,Own-child,White,Female,0,0,40,Mexico,<=50K -40,Local-gov,188436,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,40,United-States,>50K -43,Private,388849,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K -31,State-gov,176998,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K -57,Private,200316,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -25,Private,160300,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K -22,Private,236684,Assoc-voc,11,Never-married,Other-service,Own-child,Black,Female,0,0,36,United-States,<=50K -20,Local-gov,247794,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -27,Private,267325,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,3464,0,40,United-States,<=50K -39,Private,279490,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,Mexico,<=50K -27,State-gov,280618,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Local-gov,248406,HS-grad,9,Separated,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -31,Local-gov,226494,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -41,Private,220460,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -25,Private,108317,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,State-gov,147256,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,>50K -22,Private,110371,HS-grad,9,Married-civ-spouse,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K -62,Private,114060,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,91,United-States,<=50K -29,Federal-gov,31161,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Other,Female,0,0,40,United-States,<=50K -44,Private,105862,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,70,United-States,>50K -32,Private,402089,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,2,United-States,<=50K -19,?,425447,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -20,Private,137300,Assoc-voc,11,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -65,State-gov,326691,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K -24,Private,275093,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,36,United-States,<=50K -37,Self-emp-not-inc,112497,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -43,Local-gov,174491,HS-grad,9,Divorced,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,114835,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,60,United-States,>50K -28,Private,137898,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -33,Private,153151,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,4416,0,40,United-States,<=50K -32,Private,134886,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -38,Private,193815,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -33,Private,237833,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Self-emp-not-inc,101593,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -27,Private,164924,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,174201,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -47,Local-gov,36169,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -55,Private,144071,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -30,Self-emp-not-inc,180859,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,8,United-States,<=50K -54,Private,221915,Some-college,10,Widowed,Craft-repair,Unmarried,White,Female,0,0,50,United-States,<=50K -40,Private,26892,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -21,Private,351084,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,97306,Bachelors,13,Divorced,Craft-repair,Unmarried,White,Female,0,0,25,United-States,<=50K -30,Private,185027,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -31,Private,182539,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -22,Private,215395,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,37,United-States,<=50K -37,Private,186434,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,>50K -41,?,217921,9th,5,Married-civ-spouse,?,Wife,Asian-Pac-Islander,Female,0,0,40,Hong,<=50K -52,Local-gov,346668,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -57,Self-emp-inc,412952,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,167009,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,48,United-States,<=50K -58,Private,316000,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -35,Self-emp-not-inc,216256,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -40,Private,341835,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -30,Private,169841,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -26,Self-emp-not-inc,200681,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Outlying-US(Guam-USVI-etc),<=50K -46,Self-emp-not-inc,456956,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -26,Federal-gov,276075,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -50,Federal-gov,96657,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -22,Private,374313,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -36,Private,110998,Masters,14,Widowed,Tech-support,Unmarried,Asian-Pac-Islander,Female,0,0,40,India,<=50K -30,Private,53285,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K -58,Private,104613,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -17,?,303317,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -72,Private,298070,Assoc-voc,11,Separated,Other-service,Unmarried,White,Female,6723,0,25,United-States,<=50K -19,Private,318822,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,375078,7th-8th,4,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Mexico,<=50K -20,?,232799,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,25,United-States,<=50K -30,Private,210851,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,213745,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K -51,Private,204447,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -26,Private,318934,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,237386,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K -44,Private,182629,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,24,Iran,<=50K -43,Private,144778,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -35,Private,117166,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -51,Private,237630,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,50,United-States,>50K -41,Private,171550,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Private,165302,Some-college,10,Divorced,Adm-clerical,Unmarried,Other,Female,0,0,40,United-States,<=50K -39,State-gov,42186,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,3464,0,20,United-States,<=50K -54,Private,284952,10th,6,Separated,Sales,Unmarried,White,Female,0,0,43,Italy,<=50K -62,Private,96099,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,198759,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -30,Private,227886,HS-grad,9,Never-married,Exec-managerial,Own-child,Black,Female,0,0,35,Jamaica,<=50K -32,Private,391874,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Self-emp-not-inc,184370,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -84,Local-gov,135839,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,14,United-States,<=50K -46,Private,194698,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,60,United-States,<=50K -67,Local-gov,342175,Masters,14,Divorced,Adm-clerical,Not-in-family,White,Female,2009,0,40,United-States,<=50K -29,Private,67218,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -33,Private,205152,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K -23,Private,434467,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,42,United-States,<=50K -63,?,110150,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,55,United-States,>50K -55,?,123382,HS-grad,9,Separated,?,Not-in-family,Black,Female,0,2001,40,United-States,<=50K -42,State-gov,404573,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -17,Private,99462,11th,7,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K -60,Private,170310,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,199883,12th,8,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,70034,7th-8th,4,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,Portugal,<=50K -31,Private,393357,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,48,United-States,<=50K -65,?,249043,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,10605,0,40,United-States,>50K -31,Private,72630,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,14084,0,50,United-States,>50K -61,Private,223133,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,Black,Female,0,0,40,United-States,<=50K -43,State-gov,345969,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -40,State-gov,195520,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,49,United-States,<=50K -39,Private,257942,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Local-gov,269300,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,27,United-States,<=50K -47,Private,137354,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -45,Federal-gov,232997,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,>50K -30,Private,77266,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -30,Self-emp-not-inc,164190,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -49,Private,153536,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,14084,0,44,United-States,>50K -51,Local-gov,26832,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -31,Private,188096,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,72,United-States,>50K -48,Self-emp-inc,369522,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,>50K -20,Private,110998,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,30,United-States,<=50K -32,Private,205152,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,40,United-States,>50K -31,?,163890,Some-college,10,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -19,Private,358631,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,25,United-States,<=50K -50,Private,185354,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -33,Private,336061,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -25,?,47011,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -49,Private,149949,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,1876,40,United-States,<=50K -30,Private,59496,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,32950,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,109912,Doctorate,16,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,32,United-States,>50K -24,Private,199555,Assoc-voc,11,Never-married,Sales,Unmarried,White,Male,0,0,5,United-States,<=50K -28,Private,91299,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,45,United-States,<=50K -56,Private,99359,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,1617,40,United-States,<=50K -38,Private,242559,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -20,Private,286391,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,2176,0,20,United-States,<=50K -82,Private,132870,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,4356,18,United-States,<=50K -52,Federal-gov,22428,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K -32,Private,239150,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -37,Private,170563,Assoc-voc,11,Separated,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K -36,Private,173542,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -39,Private,286026,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -30,Private,72887,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,Asian-Pac-Islander,Male,3411,0,40,United-States,<=50K -49,Local-gov,163229,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,<=50K -40,Local-gov,165726,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,70055,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -35,Private,184655,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,139906,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,81,United-States,<=50K -32,Local-gov,198211,Assoc-voc,11,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,146540,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -53,Local-gov,132304,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,190916,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,Never-worked,237272,10th,6,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -44,Private,755858,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,>50K -52,Private,127315,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -42,State-gov,304302,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -34,Private,184942,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,267989,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,188377,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -39,State-gov,221059,Masters,14,Married-civ-spouse,Prof-specialty,Other-relative,Other,Female,7688,0,38,United-States,>50K -26,Private,340787,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,140782,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,38,United-States,>50K -57,Private,169071,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,28,United-States,<=50K -36,Self-emp-not-inc,151094,Assoc-voc,11,Separated,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,<=50K -27,Private,122922,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,151141,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -30,Private,136651,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -37,Private,177285,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,48,United-States,>50K -31,Local-gov,128016,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,200318,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -32,Private,250354,10th,6,Never-married,Craft-repair,Other-relative,White,Male,0,0,45,United-States,<=50K -58,Private,191069,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -31,Private,27856,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,8,United-States,<=50K -44,Private,523484,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -39,Federal-gov,257175,Bachelors,13,Divorced,Tech-support,Unmarried,Black,Female,0,625,40,United-States,<=50K -59,Private,174864,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,45,United-States,>50K -42,Private,196029,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,>50K -45,Private,200471,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K -20,Private,353195,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -35,Private,222868,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,221791,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,<=50K -56,Private,197114,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,28,United-States,<=50K -48,Private,160220,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -58,Self-emp-not-inc,274917,Masters,14,Widowed,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -32,Private,348460,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,112683,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K -48,Private,345831,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,105370,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,70,United-States,<=50K -48,Private,345006,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Mexico,<=50K -55,Private,195329,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,2202,0,35,Italy,<=50K -40,Local-gov,108765,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -50,Private,138022,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -52,Self-emp-not-inc,175029,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -19,Private,189574,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -55,Self-emp-not-inc,141409,10th,6,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K -36,Self-emp-not-inc,186035,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K -39,Private,165235,Bachelors,13,Separated,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K -22,Private,105043,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,230684,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -34,Private,345705,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,1408,38,United-States,<=50K -33,Private,248584,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -55,Private,436861,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,14084,0,40,United-States,>50K -35,Private,200153,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -50,Private,398625,11th,7,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,114043,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -29,Private,169544,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Private,343849,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -33,Private,162572,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K -24,Private,291578,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,136162,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -60,Self-emp-inc,376133,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,15024,0,15,United-States,>50K -48,Self-emp-inc,302612,Masters,14,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -65,Local-gov,240166,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K -29,Private,193152,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,1408,40,United-States,<=50K -42,Private,248094,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1740,43,United-States,<=50K -44,Private,119281,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -73,Self-emp-not-inc,300404,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,6,United-States,>50K -21,Private,82847,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,50,United-States,<=50K -32,Self-emp-inc,161153,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1902,55,United-States,>50K -43,Federal-gov,287008,Masters,14,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,35,United-States,>50K -21,Private,654141,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,32,United-States,<=50K -30,Private,252646,Some-college,10,Separated,Transport-moving,Not-in-family,White,Male,0,0,20,United-States,<=50K -54,Private,171924,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,<=50K -19,Private,219742,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -55,State-gov,153788,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,37,United-States,<=50K -20,Private,60639,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,28,United-States,<=50K -53,Private,96062,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Greece,<=50K -51,Private,165614,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K -33,Private,159888,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,110586,Some-college,10,Widowed,Priv-house-serv,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Self-emp-not-inc,143062,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -17,Self-emp-inc,413557,9th,5,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,137658,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -36,Private,398931,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,311764,10th,6,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,United-States,<=50K -58,Private,98725,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -38,Private,140854,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -72,Private,97304,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Male,2346,0,40,?,<=50K -26,Federal-gov,352768,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -45,?,27184,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,38,United-States,<=50K -72,?,237229,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -60,Private,142494,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -27,Private,210313,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Guatemala,<=50K -38,Private,194538,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K -37,Self-emp-inc,26698,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1485,44,United-States,>50K -28,Private,211032,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -38,Self-emp-inc,107909,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -29,Private,136077,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -19,Private,184737,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,1721,40,United-States,<=50K -28,Private,214689,Bachelors,13,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,25,United-States,<=50K -70,?,147558,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,7,United-States,<=50K -40,Self-emp-not-inc,93793,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -26,Private,247025,Assoc-voc,11,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,284403,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,<=50K -29,Private,221977,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -25,Federal-gov,339956,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K -29,Private,161097,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K -60,Private,223696,1st-4th,2,Divorced,Craft-repair,Not-in-family,Other,Male,0,0,38,Dominican-Republic,<=50K -31,Private,234500,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -51,Local-gov,97005,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,242615,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -36,Private,174938,Bachelors,13,Divorced,Tech-support,Unmarried,White,Male,0,0,20,United-States,<=50K -35,Private,160120,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -48,Private,193775,Bachelors,13,Divorced,Adm-clerical,Own-child,White,Male,0,0,38,United-States,>50K -78,Self-emp-not-inc,59583,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K -72,Private,157913,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,17,United-States,<=50K -24,Private,308205,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -58,?,158506,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K -36,Private,201769,11th,7,Never-married,Protective-serv,Not-in-family,Black,Male,13550,0,40,United-States,>50K -48,Private,330470,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,United-States,<=50K -28,Private,184078,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,123384,Masters,14,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,330132,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -47,Private,274720,5th-6th,3,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,Jamaica,<=50K -50,Private,129673,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -35,Federal-gov,205584,5th-6th,3,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -17,Private,327127,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K -41,Private,225892,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -37,Private,224886,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,42,United-States,<=50K -35,Local-gov,27763,HS-grad,9,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -56,Private,73684,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K -23,Private,107452,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,23871,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K -79,Self-emp-inc,309272,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,469864,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -55,Private,286230,11th,7,Divorced,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -59,State-gov,186308,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -22,Private,113062,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,86150,11th,7,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,19,Philippines,<=50K -41,Private,262038,5th-6th,3,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,35,Mexico,<=50K -32,Private,279231,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Italy,<=50K -67,?,188903,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,2414,0,40,United-States,<=50K -45,Private,183786,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -61,Private,339358,5th-6th,3,Married-civ-spouse,Farming-fishing,Other-relative,White,Female,0,0,45,Mexico,<=50K -34,Private,287737,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Self-emp-not-inc,99203,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,297449,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,50,United-States,>50K -35,Private,113481,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -65,Private,204042,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,20,United-States,<=50K -24,Private,43387,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,England,>50K -37,Private,99233,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,313729,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -42,Private,99679,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -18,Private,169745,7th-8th,4,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -43,Federal-gov,19914,Some-college,10,Widowed,Exec-managerial,Unmarried,Amer-Indian-Eskimo,Female,0,0,15,United-States,<=50K -31,Private,113543,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -19,Private,224241,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -40,Self-emp-inc,137367,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,China,<=50K -32,Private,263908,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,280798,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -32,Local-gov,203849,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -46,Self-emp-inc,62546,Doctorate,16,Separated,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -40,Private,197344,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -36,Private,93225,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -33,Private,187560,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,36,United-States,<=50K -23,State-gov,61743,5th-6th,3,Never-married,Transport-moving,Not-in-family,White,Male,0,0,35,United-States,<=50K -21,Private,186648,10th,6,Separated,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,173321,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,32,United-States,<=50K -53,State-gov,246820,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -20,?,424034,Some-college,10,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K -53,Self-emp-not-inc,291755,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,72,United-States,<=50K -58,Private,104945,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,60,United-States,<=50K -51,Private,85423,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -31,Private,214235,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,65,United-States,<=50K -35,Self-emp-not-inc,278632,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,?,27415,11th,7,Never-married,?,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -31,Local-gov,143392,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -21,Private,277408,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -39,Self-emp-not-inc,336793,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -36,Private,184112,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,45,United-States,>50K -51,Private,74660,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -18,Private,395026,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K -32,Private,171215,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,<=50K -56,Private,121362,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -35,Private,409200,Assoc-acdm,12,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -63,Private,268965,12th,8,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -61,Private,136262,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -23,Private,141323,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -52,Local-gov,108083,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -19,Private,82210,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -33,State-gov,400943,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -35,Private,308489,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,50,United-States,<=50K -35,Private,187053,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Female,0,0,60,United-States,>50K -38,Private,75826,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -23,Private,413345,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -22,Private,356567,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Male,0,0,60,United-States,<=50K -20,Private,223811,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,159313,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,250170,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K -59,Private,135617,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,187346,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,108103,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,255476,5th-6th,3,Never-married,Other-service,Other-relative,White,Male,0,0,40,Mexico,<=50K -24,Private,68577,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,155961,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,35,Jamaica,<=50K -22,State-gov,264102,Some-college,10,Never-married,Other-service,Other-relative,Black,Male,0,0,39,Haiti,<=50K -37,Private,167777,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,52,United-States,<=50K -36,Private,225399,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -28,Private,199998,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -55,Private,199856,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K -29,?,189765,5th-6th,3,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -32,Private,193042,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K -66,?,222810,Some-college,10,Divorced,?,Other-relative,White,Female,0,0,35,United-States,<=50K -47,Local-gov,162595,Some-college,10,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,45,United-States,<=50K -23,Private,208826,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Local-gov,120190,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -40,Self-emp-not-inc,27242,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K -51,Private,348099,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,1590,40,United-States,<=50K -34,Private,185041,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,1669,45,United-States,<=50K -28,Private,309196,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,State-gov,254285,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,70,Germany,>50K -39,Self-emp-inc,336226,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,60,United-States,>50K -43,Private,240698,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -36,Private,411797,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,>50K -25,Private,178843,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K -42,Private,136177,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -35,Private,243409,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Germany,<=50K -43,Private,258049,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,53,United-States,>50K -34,Private,164748,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,State-gov,24185,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K -30,Private,167476,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -44,Private,106900,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K -52,Private,53497,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,335704,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -36,Private,211022,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -30,Private,163003,Bachelors,13,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Female,0,0,52,Taiwan,<=50K -36,Self-emp-inc,77146,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K -39,Private,67433,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,458549,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,96,Mexico,<=50K -26,Private,190469,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,195411,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -20,Private,216889,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -70,?,336007,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -26,Private,167350,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,50,United-States,<=50K -24,Private,241857,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,35,United-States,<=50K -48,Private,125892,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -62,Private,272209,HS-grad,9,Divorced,Priv-house-serv,Unmarried,Black,Female,0,0,99,United-States,<=50K -48,Private,175221,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,180195,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -25,Private,38090,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,44,United-States,<=50K -58,Private,310085,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -40,Federal-gov,118686,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -29,?,112963,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -45,Self-emp-inc,120131,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,?,<=50K -19,Private,43937,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,20,United-States,<=50K -37,Private,210438,11th,7,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -23,Private,176724,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -31,Self-emp-not-inc,113364,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -64,Self-emp-not-inc,73986,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -28,Local-gov,197932,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K -32,Private,193285,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -49,Local-gov,223342,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,44,United-States,<=50K -35,Private,49749,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K -19,?,211553,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -45,Private,201865,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -39,Private,322143,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,70,United-States,>50K -55,Private,158702,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,2339,45,?,<=50K -46,Self-emp-not-inc,275625,Bachelors,13,Divorced,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,60,South,>50K -19,Private,206599,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K -29,Private,89813,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Scotland,<=50K -25,State-gov,156848,HS-grad,9,Married-civ-spouse,Protective-serv,Own-child,White,Male,0,0,35,United-States,<=50K -37,Private,162494,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,205407,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -28,Private,375313,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -36,Federal-gov,930948,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,6497,0,56,United-States,<=50K -32,Private,127895,Some-college,10,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,35,United-States,<=50K -34,Private,248754,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,188096,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,36,United-States,<=50K -20,Private,216811,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -27,Self-emp-inc,113870,Masters,14,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -36,Federal-gov,343052,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -35,Private,280966,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,42044,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K -32,Private,309513,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,163604,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -52,Private,224198,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K -50,Private,338283,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -23,Private,242375,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -25,Private,81286,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -21,Private,243368,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,Mexico,<=50K -31,Private,217803,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K -31,Self-emp-not-inc,323020,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K -41,Private,34278,Assoc-voc,11,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,184579,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,<=50K -20,?,210781,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K -20,Private,142673,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -29,Private,131714,10th,6,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,25,United-States,<=50K -51,Local-gov,74784,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Local-gov,181372,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,33,United-States,>50K -23,?,62507,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,12,United-States,<=50K -48,Private,155664,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,>50K -39,Private,174924,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Male,14344,0,40,United-States,>50K -62,Private,113440,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -22,Private,147227,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -46,Federal-gov,207022,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -51,Local-gov,123011,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,35,United-States,>50K -20,Private,184678,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K -40,Self-emp-inc,182437,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -31,Private,98639,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,174201,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -52,Private,123780,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,38,United-States,<=50K -20,Private,374116,HS-grad,9,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K -37,Local-gov,212005,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -65,Private,123965,Bachelors,13,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,242619,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,4650,0,40,United-States,<=50K -60,Local-gov,138502,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,48,United-States,>50K -27,Private,113635,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,Ireland,<=50K -62,Private,664366,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -53,Private,218311,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -38,Private,278557,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -49,Private,314773,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,194861,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,400616,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,208117,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,<=50K -36,Private,184498,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,117674,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -19,Private,162621,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,14,United-States,<=50K -23,Private,368739,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -63,Self-emp-not-inc,196994,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K -63,Self-emp-not-inc,420629,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K -62,Self-emp-inc,245491,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,99999,0,40,United-States,>50K -51,Self-emp-not-inc,276456,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,3103,0,30,United-States,>50K -76,Local-gov,169133,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -50,Private,99307,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,45,United-States,<=50K -45,Self-emp-inc,120131,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -44,Self-emp-inc,456236,Some-college,10,Divorced,Sales,Own-child,White,Male,0,0,45,United-States,>50K -51,Private,107123,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -42,Local-gov,125461,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,4650,0,35,United-States,<=50K -43,Local-gov,36924,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -53,Private,167065,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,53642,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,154668,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -44,Federal-gov,102238,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -35,Private,54595,10th,6,Widowed,Other-service,Not-in-family,Black,Female,0,1980,40,United-States,<=50K -27,Private,152951,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,257042,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -60,Private,74243,Assoc-voc,11,Widowed,Craft-repair,Not-in-family,White,Female,0,0,30,United-States,<=50K -49,Private,149049,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,14344,0,45,United-States,>50K -33,Private,117186,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -35,Private,178322,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -31,State-gov,286911,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K -54,Private,203635,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,60,United-States,>50K -57,Self-emp-not-inc,177271,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -30,Private,149427,9th,5,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K -45,Private,101656,10th,6,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -41,Private,274363,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,42,United-States,>50K -25,Private,241025,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,18,United-States,<=50K -51,Self-emp-inc,338836,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -42,Private,210534,5th-6th,3,Separated,Adm-clerical,Other-relative,White,Male,0,0,40,El-Salvador,<=50K -28,Private,95725,Assoc-voc,11,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K -47,?,178013,10th,6,Married-civ-spouse,?,Wife,White,Female,0,0,20,Cuba,<=50K -53,Federal-gov,167410,Bachelors,13,Divorced,Tech-support,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -31,Private,158162,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,13550,0,50,United-States,>50K -46,Private,241935,11th,7,Married-civ-spouse,Other-service,Husband,Black,Male,7688,0,40,United-States,>50K -25,Federal-gov,406955,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -47,Private,341762,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,239303,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,<=50K -30,Private,38848,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,54744,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,332194,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,154950,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -33,Self-emp-not-inc,196342,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -31,Private,201292,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,339767,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,20,England,>50K -26,Private,250066,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,318886,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K -50,Local-gov,124076,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -30,State-gov,242122,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -17,Private,34019,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -35,Local-gov,230754,Masters,14,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -29,Private,213842,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Federal-gov,196386,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,4064,0,40,El-Salvador,<=50K -32,Self-emp-not-inc,62165,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,?,<=50K -34,Private,134737,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,>50K -32,Private,515629,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Federal-gov,119199,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Private,90222,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,28443,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,159442,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,Ireland,<=50K -54,Private,315804,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,135840,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -38,Private,81232,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,>50K -43,Private,118001,7th-8th,4,Separated,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K -25,Private,207875,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K -39,Private,164898,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -57,Local-gov,170066,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,25,United-States,>50K -47,Private,111994,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,34,United-States,<=50K -45,Private,166636,HS-grad,9,Divorced,Other-service,Other-relative,Black,Female,0,0,35,United-States,<=50K -24,State-gov,61737,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,241885,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,234190,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K -57,Private,230899,5th-6th,3,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,114158,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,24,United-States,>50K -28,Private,222442,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,51,Cuba,<=50K -27,Private,157612,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K -28,Private,199903,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -74,?,292627,1st-4th,2,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,156687,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,42,Japan,<=50K -27,Private,369522,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,45,United-States,<=50K -61,Private,226297,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,356017,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,99,United-States,<=50K -28,Private,189257,9th,5,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,24,United-States,<=50K -20,Private,157541,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,69251,Assoc-voc,11,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -38,State-gov,272944,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,113667,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,25,United-States,<=50K -40,Private,222011,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K -43,Private,191196,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -38,Private,169104,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -19,Private,146679,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Male,0,0,30,United-States,<=50K -56,Private,226985,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,153066,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K -30,?,159303,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,4,United-States,<=50K -22,Private,200109,HS-grad,9,Married-civ-spouse,Priv-house-serv,Wife,White,Female,4508,0,40,United-States,<=50K -18,State-gov,109445,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -68,Private,99491,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -35,Private,172571,Assoc-voc,11,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -42,Private,143582,7th-8th,4,Married-civ-spouse,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,48,?,<=50K -32,Private,207113,10th,6,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -43,Federal-gov,192712,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -30,Private,154297,10th,6,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -62,Private,238913,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,2829,0,24,United-States,<=50K -38,Private,110402,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,207213,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,606111,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,Germany,>50K -26,Private,34112,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,119156,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,20,United-States,<=50K -19,Private,249787,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K -20,Private,153516,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -25,State-gov,260754,Bachelors,13,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,155621,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,50,Columbia,<=50K -36,Private,33983,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,42,United-States,>50K -23,Private,306601,Bachelors,13,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,Mexico,<=50K -24,Private,270075,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,50,United-States,<=50K -23,Private,109430,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,187115,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K -25,Self-emp-not-inc,463667,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,8,United-States,<=50K -24,Private,52262,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,144064,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,62,United-States,<=50K -26,Private,147821,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,45,?,<=50K -62,?,232719,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,268620,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,33,United-States,<=50K -45,Private,81132,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -31,Private,323069,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Female,0,880,45,United-States,<=50K -34,Private,242984,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,<=50K -65,Self-emp-inc,172684,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,Mexico,>50K -42,Private,103932,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -27,State-gov,431637,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,<=50K -40,Private,188942,Some-college,10,Married-civ-spouse,Sales,Wife,Black,Female,0,0,40,Puerto-Rico,<=50K -53,Federal-gov,170354,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -54,Private,28518,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -30,State-gov,193380,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Male,0,0,35,United-States,<=50K -59,Private,175942,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -42,Self-emp-not-inc,53956,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,55,United-States,<=50K -23,Private,120773,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,96219,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,<=50K -20,Private,104164,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,190429,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -73,?,243030,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -47,Self-emp-not-inc,228660,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,40,United-States,>50K -44,Private,368757,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,220563,12th,8,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,233571,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,37,United-States,>50K -39,Private,187847,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,50,United-States,<=50K -49,Private,84298,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -44,Self-emp-not-inc,254303,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -27,Private,109611,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,37,Portugal,<=50K -50,Private,189183,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,206951,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -41,Private,282882,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -55,Private,377061,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -53,Private,209906,1st-4th,2,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,35,Puerto-Rico,<=50K -53,Local-gov,176059,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -31,Private,279015,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,70,Taiwan,>50K -21,Private,347292,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,277314,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -74,?,29887,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,10,United-States,<=50K -53,Private,341439,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,>50K -47,Private,209460,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,47,United-States,<=50K -60,Private,114263,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,Hungary,>50K -59,Private,230899,9th,5,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,Mexico,<=50K -37,Private,271767,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,>50K -47,Federal-gov,20956,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K -49,Private,39986,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -73,Local-gov,45784,Some-college,10,Never-married,Prof-specialty,Other-relative,White,Female,0,0,11,United-States,<=50K -58,Private,126991,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -18,?,234648,11th,7,Never-married,?,Own-child,Black,Male,0,0,15,United-States,<=50K -35,Private,207676,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -24,State-gov,413345,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,<=50K -62,Private,122033,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -58,Private,169611,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -51,Private,90363,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,15024,0,40,United-States,>50K -21,Private,372636,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K -30,Private,340917,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,34273,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,1876,36,Canada,<=50K -25,Private,161027,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,5178,0,40,United-States,>50K -31,Private,99844,HS-grad,9,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,45,United-States,<=50K -31,Private,207685,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,34,United-States,<=50K -44,Private,74680,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,50,United-States,>50K -52,Self-emp-inc,334273,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,65,United-States,>50K -30,Private,36069,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,100563,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -36,Private,174308,11th,7,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,109413,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -59,Local-gov,212600,Some-college,10,Separated,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K -55,Private,271710,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -70,?,230816,Assoc-voc,11,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -22,Private,103277,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -42,Private,318947,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,187167,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -32,Private,204742,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -44,Private,282062,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,?,283510,HS-grad,9,Never-married,?,Unmarried,Black,Male,0,0,45,United-States,<=50K -25,Private,280093,11th,7,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K -31,Private,202729,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,205950,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,392286,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -42,Self-emp-not-inc,119207,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,<=50K -49,Private,195554,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,<=50K -30,Private,173005,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,44,United-States,<=50K -54,Private,192862,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -39,Private,164712,Some-college,10,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -24,Private,195808,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,199444,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,44,United-States,<=50K -23,Private,126346,9th,5,Never-married,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -54,Private,177675,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,42,United-States,<=50K -23,Private,50341,Masters,14,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -39,Private,237943,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,1726,40,United-States,<=50K -23,Private,126945,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,25,United-States,<=50K -67,?,92061,HS-grad,9,Widowed,?,Other-relative,White,Female,0,0,8,United-States,<=50K -19,?,109938,11th,7,Married-civ-spouse,?,Wife,Asian-Pac-Islander,Female,0,0,40,Laos,<=50K -41,Private,267252,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,1902,40,United-States,>50K -32,Private,174704,11th,7,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -57,Private,124771,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,200603,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,30,United-States,<=50K -60,State-gov,165827,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,60,United-States,>50K -21,Private,301199,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -53,Private,215790,Some-college,10,Widowed,Adm-clerical,Other-relative,White,Female,0,0,22,United-States,<=50K -38,Private,87556,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,United-States,>50K -21,Private,111467,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,82646,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,>50K -24,Private,162282,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Federal-gov,239074,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,214925,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,60,United-States,<=50K -23,Private,194247,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,211531,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -32,Local-gov,223267,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K -25,Private,201635,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -41,Self-emp-not-inc,188738,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,27,United-States,<=50K -18,Private,133055,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -57,Private,61761,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,45,United-States,<=50K -62,Private,103344,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Male,10520,0,50,United-States,>50K -29,Private,109814,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,225294,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -35,Self-emp-not-inc,97277,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K -52,Private,146711,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -28,Private,286452,10th,6,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,20308,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,224203,Some-college,10,Widowed,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -41,Private,225978,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -23,Private,237720,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K -31,Private,156743,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,76,United-States,>50K -31,Private,509364,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,Mexico,<=50K -46,Private,144351,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -18,Private,375515,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -57,Self-emp-not-inc,103529,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,>50K -25,Private,199472,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -32,Private,348152,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -27,Private,221166,9th,5,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -46,Federal-gov,341762,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K -17,?,634226,10th,6,Never-married,?,Own-child,White,Female,0,0,17,United-States,<=50K -43,State-gov,159449,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -56,Self-emp-not-inc,110238,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -19,Private,458558,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,<=50K -20,Federal-gov,340217,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -42,Private,155106,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -90,Private,90523,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Male,0,0,99,United-States,<=50K -25,Private,122756,11th,7,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,35,United-States,<=50K -27,Private,293828,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,Jamaica,<=50K -48,Private,299291,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,<=50K -48,Federal-gov,483261,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -27,Private,122038,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -46,Private,160647,Bachelors,13,Widowed,Tech-support,Unmarried,White,Female,0,0,38,United-States,<=50K -32,Private,106541,5th-6th,3,Married-civ-spouse,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -22,Private,126945,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,188505,Bachelors,13,Married-AF-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -31,Private,377850,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K -20,Private,193586,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,18,United-States,<=50K -28,Self-emp-not-inc,315417,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,2176,0,40,United-States,<=50K -40,Self-emp-inc,57233,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -39,Private,195253,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -54,Local-gov,172991,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -59,Local-gov,223215,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,42,United-States,<=50K -17,Private,95799,11th,7,Never-married,Sales,Own-child,White,Female,0,0,18,United-States,<=50K -25,Self-emp-not-inc,213385,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,80,United-States,<=50K -49,Local-gov,202467,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -55,Self-emp-not-inc,145574,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,34095,0,60,United-States,<=50K -39,Private,147548,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -67,Private,105216,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,16,United-States,<=50K -28,Private,77760,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -35,Private,167990,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Canada,<=50K -44,Private,167005,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,>50K -51,Private,108435,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,47,United-States,>50K -55,Private,56645,Bachelors,13,Widowed,Farming-fishing,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -45,Local-gov,304973,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,78,United-States,>50K -32,Private,42596,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -45,Private,220641,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,101452,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,England,>50K -35,Private,188888,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K -55,Local-gov,168790,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,<=50K -59,Private,98361,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -22,Private,401762,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,55,United-States,<=50K -46,Local-gov,160187,Masters,14,Widowed,Exec-managerial,Unmarried,Black,Female,0,0,35,United-States,<=50K -23,Private,203715,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,144351,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -34,Private,420749,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,Germany,<=50K -51,Private,106151,11th,7,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,362482,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -24,State-gov,38151,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,12,United-States,<=50K -20,Private,42706,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,72,United-States,<=50K -44,Private,126199,Some-college,10,Divorced,Transport-moving,Unmarried,White,Male,1831,0,50,United-States,<=50K -26,Private,165510,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -35,Local-gov,216068,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -23,Private,215624,Some-college,10,Never-married,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -40,Private,239708,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -49,Local-gov,199378,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,230420,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -28,Private,395022,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,338620,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -62,Private,210142,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -31,Private,446358,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -47,Local-gov,352614,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -36,Private,293528,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,0,3,United-States,<=50K -44,State-gov,55395,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,?,128538,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -46,Private,428405,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -32,Private,126838,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,136836,Assoc-acdm,12,Divorced,Transport-moving,Unmarried,Black,Female,0,0,30,United-States,<=50K -48,Private,105838,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -28,Private,139903,Bachelors,13,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -57,Self-emp-inc,106103,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,>50K -33,Private,186824,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,350387,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,15,United-States,<=50K -17,Private,142912,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -63,?,321403,9th,5,Separated,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K -31,Self-emp-inc,114937,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -34,?,286689,Masters,14,Never-married,?,Not-in-family,White,Male,4650,0,30,United-States,<=50K -35,Private,147258,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,1974,40,United-States,<=50K -20,Private,451996,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,149833,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -24,Private,211968,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,24,United-States,<=50K -33,Private,287908,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,>50K -36,Private,166549,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,25216,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,286452,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Female,3418,0,40,United-States,<=50K -47,Private,162034,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -30,Private,186932,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,75,United-States,>50K -34,Private,82938,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,122048,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K -33,Private,118710,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Private,243226,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -67,Self-emp-not-inc,268514,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,365289,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,165365,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,2885,0,40,Laos,<=50K -20,Private,219266,HS-grad,9,Married-civ-spouse,Prof-specialty,Own-child,White,Female,0,0,36,?,<=50K -24,Private,283757,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,39,United-States,<=50K -44,Federal-gov,206553,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,113364,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,Private,328949,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -19,Private,83930,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -31,Self-emp-not-inc,325355,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,40,United-States,>50K -20,Private,131852,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -64,Private,119506,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -47,State-gov,100818,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -36,Private,162302,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -48,Private,182211,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K -19,Self-emp-not-inc,194205,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,Mexico,<=50K -22,Private,141040,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,35,United-States,<=50K -56,Private,346033,9th,5,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,177125,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -37,Private,241174,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,99,United-States,>50K -57,Local-gov,130532,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -38,Private,168496,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -34,Private,362787,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -22,?,244771,11th,7,Separated,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -38,Federal-gov,48123,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Self-emp-inc,173858,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,1902,40,South,>50K -32,Private,207201,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -29,Private,37933,12th,8,Married-spouse-absent,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -56,Private,33323,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,175943,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,7298,0,35,United-States,>50K -66,?,306178,10th,6,Divorced,?,Not-in-family,White,Male,2050,0,40,United-States,<=50K -71,Local-gov,229110,HS-grad,9,Widowed,Exec-managerial,Other-relative,White,Female,0,0,33,United-States,<=50K -20,Private,113511,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,333677,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,36,United-States,<=50K -42,Private,236021,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,>50K -20,?,371089,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -61,Private,115023,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -24,State-gov,133586,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -51,Private,91137,9th,5,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -27,Private,105598,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,352812,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,40,United-States,>50K -31,Private,204829,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,247733,HS-grad,9,Divorced,Priv-house-serv,Unmarried,Black,Female,0,0,16,United-States,<=50K -36,?,370585,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,103257,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,178915,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,54260,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -43,Private,55395,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,233511,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K -49,Private,318331,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,195985,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Self-emp-not-inc,38876,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -67,Self-emp-inc,81413,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,172618,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -36,Private,174717,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -67,Private,224984,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,15831,0,16,Germany,>50K -61,Private,423297,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -55,Local-gov,88856,7th-8th,4,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,?,169104,Assoc-acdm,12,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,16,Philippines,<=50K -35,Federal-gov,39207,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,340018,10th,6,Never-married,Other-service,Unmarried,Black,Female,0,0,38,United-States,<=50K -20,State-gov,30796,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -51,Private,155403,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -23,Private,238092,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,225605,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,24,United-States,<=50K -36,Private,289148,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Private,339863,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -27,Private,178778,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,80,United-States,>50K -29,Private,568490,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,State-gov,129345,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,447882,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -24,Private,314165,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,20,United-States,<=50K -39,Federal-gov,382859,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -51,State-gov,82504,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,149700,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,15024,0,40,United-States,>50K -62,Private,209844,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -49,Private,62546,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -20,Private,228686,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,326587,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,202091,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -54,Self-emp-not-inc,310774,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,450246,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -20,?,84375,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,45,United-States,<=50K -43,Private,142444,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,55,United-States,>50K -26,Private,82246,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1876,38,United-States,<=50K -24,Private,192766,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,53109,11th,7,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Male,0,0,20,United-States,<=50K -45,Self-emp-inc,121836,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,?,>50K -45,Self-emp-not-inc,298130,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K -26,Private,135645,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,265275,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -54,?,410114,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -21,Without-pay,232719,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -29,Private,167716,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,99,United-States,<=50K -68,Private,107627,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,United-States,<=50K -21,Private,129674,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,48,Mexico,<=50K -28,Self-emp-inc,114053,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K -46,Private,202560,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -35,Private,219902,HS-grad,9,Separated,Transport-moving,Unmarried,Black,Female,0,0,48,United-States,<=50K -50,Self-emp-not-inc,192654,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,25,United-States,<=50K -48,Self-emp-inc,238966,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,?,112942,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -59,Private,153484,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,50,United-States,>50K -23,Private,161874,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Male,0,0,40,United-States,<=50K -53,Private,260106,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -50,Self-emp-inc,240374,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -32,?,251612,5th-6th,3,Never-married,?,Unmarried,White,Female,0,0,45,Mexico,<=50K -53,Private,223696,12th,8,Married-spouse-absent,Handlers-cleaners,Not-in-family,Other,Male,0,0,56,Dominican-Republic,<=50K -52,Private,176134,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,48,United-States,<=50K -38,Private,186959,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,456236,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -35,Private,98948,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,32,United-States,<=50K -41,Private,166662,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -22,Private,448626,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,167482,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,>50K -45,Private,189792,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -31,Private,399052,9th,5,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,42,United-States,<=50K -40,Private,104196,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -47,Self-emp-not-inc,152752,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K -53,Private,268545,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Jamaica,<=50K -53,Self-emp-inc,148532,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -33,Local-gov,281784,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Male,0,1564,52,United-States,>50K -24,Private,225724,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -34,Private,200192,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Self-emp-inc,170850,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -29,Federal-gov,224858,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K -61,State-gov,159908,11th,7,Widowed,Other-service,Unmarried,White,Female,0,0,32,United-States,>50K -31,Private,115488,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,1268339,HS-grad,9,Married-spouse-absent,Tech-support,Own-child,Black,Male,0,0,40,United-States,<=50K -42,Private,195755,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -50,Federal-gov,186272,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,181388,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,177181,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -74,Private,91488,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,20,United-States,<=50K -40,Private,230961,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -75,Self-emp-not-inc,309955,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2174,50,United-States,>50K -40,Local-gov,63042,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -36,Private,29814,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -61,?,116230,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -42,?,167678,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,22,Ecuador,<=50K -28,Private,191088,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -19,Private,63814,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,18,United-States,<=50K -36,Private,285865,Assoc-acdm,12,Separated,Other-service,Unmarried,Black,Female,0,0,32,United-States,<=50K -33,?,160776,Assoc-voc,11,Divorced,?,Not-in-family,White,Female,0,0,40,France,<=50K -50,Federal-gov,299831,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,880,40,United-States,<=50K -47,Private,162741,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,Black,Female,15024,0,40,United-States,>50K -48,Private,204990,HS-grad,9,Never-married,Tech-support,Unmarried,Black,Female,0,0,33,Jamaica,<=50K -60,Self-emp-inc,171315,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,296462,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,30,United-States,<=50K -32,Private,103860,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -45,Local-gov,159816,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,35,United-States,>50K -51,Private,96586,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -53,Private,202720,9th,5,Married-spouse-absent,Machine-op-inspct,Unmarried,Black,Male,0,0,75,Haiti,<=50K -34,Private,202822,Masters,14,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,?,<=50K -48,Self-emp-not-inc,379883,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Mexico,>50K -68,?,123464,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,<=50K -32,Private,294121,Assoc-acdm,12,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,50,United-States,<=50K -63,?,179981,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,4,United-States,<=50K -31,Private,234387,HS-grad,9,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -58,Self-emp-not-inc,154537,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -32,Private,125856,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -32,Private,156015,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,116632,Bachelors,13,Divorced,Sales,Own-child,White,Male,0,0,80,United-States,<=50K -50,Private,124963,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,55,United-States,>50K -38,Self-emp-not-inc,115215,10th,6,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,254905,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,195532,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,190067,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,1564,40,United-States,>50K -63,Private,181828,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,?,<=50K -32,Private,203674,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,880,36,United-States,<=50K -25,Private,322585,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -59,Private,246262,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -22,Local-gov,211129,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,?,<=50K -49,Private,139268,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,188540,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,?,251167,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,30,Mexico,<=50K -46,Private,94809,Some-college,10,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,30,United-States,<=50K -37,Local-gov,265038,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -48,Private,182566,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K -43,Private,220109,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,1672,44,United-States,<=50K -41,Private,208470,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -54,Private,28683,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3464,0,40,United-States,<=50K -36,Private,233571,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,4,United-States,<=50K -29,Private,24562,Bachelors,13,Divorced,Other-service,Unmarried,Other,Female,0,0,40,United-States,<=50K -66,Local-gov,36364,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2267,40,United-States,<=50K -59,Private,168569,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -62,Private,167098,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -29,Private,271579,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -28,Private,191355,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -27,Private,31659,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,60,United-States,>50K -42,State-gov,83411,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -60,Private,40856,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,>50K -58,Private,115605,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -27,Private,132326,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,220213,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,172511,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,Private,156745,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -39,Private,218916,Prof-school,15,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -21,Private,306114,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -24,Private,196675,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,70,United-States,<=50K -59,Self-emp-not-inc,73411,Prof-school,15,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -36,Private,184659,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -72,?,75890,Some-college,10,Widowed,?,Unmarried,Asian-Pac-Islander,Female,0,0,4,United-States,<=50K -35,Private,320451,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,65,Hong,>50K -33,Private,172498,Some-college,10,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,131588,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Female,0,0,45,United-States,<=50K -40,Private,124520,Assoc-voc,11,Divorced,Craft-repair,Unmarried,White,Male,0,0,50,United-States,>50K -26,Self-emp-not-inc,93806,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -37,Federal-gov,173192,Assoc-voc,11,Separated,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -68,Self-emp-not-inc,198554,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Female,0,0,20,United-States,<=50K -45,Private,26502,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,United-States,>50K -56,Private,225267,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,150042,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -50,Private,211319,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K -38,Private,208358,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,58115,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,41,United-States,<=50K -28,Private,219267,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,28,United-States,<=50K -39,Federal-gov,129573,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -26,Local-gov,27834,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Self-emp-inc,415037,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,>50K -52,Private,191529,Bachelors,13,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -84,Private,132806,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,13,United-States,<=50K -33,Federal-gov,137059,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,10,United-States,<=50K -46,Federal-gov,102308,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -30,Private,164309,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -38,Private,40955,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,England,>50K -66,Private,141085,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,8,United-States,<=50K -62,Federal-gov,258124,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Italy,>50K -31,Private,467579,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1887,40,United-States,>50K -31,Private,145139,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -39,Private,231141,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2829,0,40,United-States,<=50K -60,Self-emp-not-inc,146674,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,50,?,<=50K -27,Private,242207,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -37,?,102541,Assoc-voc,11,Married-civ-spouse,?,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -38,Private,135416,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,267284,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -48,Private,130812,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -42,Self-emp-not-inc,183765,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,?,<=50K -45,Local-gov,188823,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -22,Private,200593,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,124094,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Poland,<=50K -21,Private,50411,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Local-gov,101689,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -60,Self-emp-not-inc,73091,HS-grad,9,Separated,Other-service,Not-in-family,Black,Male,0,1876,50,United-States,<=50K -21,?,107801,Some-college,10,Never-married,?,Own-child,White,Female,0,0,6,United-States,<=50K -51,Private,176969,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -30,Private,342709,HS-grad,9,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,368561,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,26915,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -57,Private,157974,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,48,United-States,<=50K -48,Private,109832,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -39,Self-emp-inc,116358,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,7688,0,40,?,>50K -68,Self-emp-not-inc,195881,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,2414,0,40,United-States,<=50K -33,Private,183000,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,24,United-States,<=50K -22,Without-pay,302347,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,4416,0,40,United-States,<=50K -18,?,151463,11th,7,Never-married,?,Other-relative,White,Male,0,0,7,United-States,<=50K -28,Private,217200,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -32,Private,31740,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K -56,Private,35520,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,<=50K -36,Private,369843,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -34,Private,199227,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -18,Private,144711,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,1721,40,United-States,<=50K -39,Private,382802,10th,6,Widowed,Machine-op-inspct,Not-in-family,Black,Male,0,1590,40,United-States,<=50K -25,Private,254781,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Self-emp-not-inc,70657,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -56,Self-emp-not-inc,50791,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,1876,60,United-States,<=50K -33,Self-emp-not-inc,222162,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Self-emp-inc,94606,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,60,United-States,>50K -44,Self-emp-not-inc,104196,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,84,United-States,<=50K -30,Self-emp-not-inc,455995,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,>50K -27,Private,166210,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -25,Private,198986,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K -30,Self-emp-inc,292465,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,99388,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,El-Salvador,<=50K -38,Private,698363,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,154940,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,401998,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,20,United-States,<=50K -62,Private,162825,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -55,Self-emp-not-inc,271795,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,134671,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,87583,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,14,United-States,<=50K -50,Private,248619,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,130200,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -45,Private,178922,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -23,Private,51985,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,38,United-States,<=50K -37,Private,125933,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -38,State-gov,104280,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -27,Private,617860,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -29,Private,122112,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K -45,Local-gov,181758,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Self-emp-inc,223671,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1887,55,United-States,>50K -38,Self-emp-not-inc,140117,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -27,Private,107458,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Federal-gov,215948,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Other,Male,0,0,40,?,<=50K -44,Federal-gov,306440,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Federal-gov,615893,Masters,14,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,Nicaragua,<=50K -28,Self-emp-inc,201186,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,99999,0,40,United-States,>50K -32,Private,37210,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -43,Private,196084,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -45,Local-gov,166181,HS-grad,9,Divorced,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -52,Federal-gov,291096,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,7298,0,40,United-States,>50K -24,Private,232841,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -19,?,131982,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,408788,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -53,Self-emp-inc,42924,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Male,14084,0,50,United-States,>50K -31,Private,181091,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -30,Private,200246,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Private,282023,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -49,Federal-gov,128990,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -38,Private,106838,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,144750,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,18,United-States,<=50K -39,Private,108140,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,103323,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,268022,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K -58,Private,197114,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,191628,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,2174,0,40,United-States,<=50K -59,Local-gov,176118,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -24,Private,42401,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,47,United-States,<=50K -42,Private,322385,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2407,0,40,United-States,<=50K -53,State-gov,123011,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -35,Private,210945,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -36,Local-gov,130620,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,China,>50K -26,Private,248990,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -33,Private,132705,9th,5,Separated,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,<=50K -29,Private,94892,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,141858,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,81232,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -48,Private,114561,Bachelors,13,Married-spouse-absent,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,0,36,Philippines,>50K -45,Local-gov,191776,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,128354,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,37088,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -21,Private,414812,7th-8th,4,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -63,?,156799,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,4,United-States,<=50K -39,Private,33983,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,15024,0,40,United-States,>50K -52,Self-emp-not-inc,194995,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,55,United-States,>50K -41,Self-emp-inc,73431,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -48,Private,155664,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,70,United-States,>50K -27,?,182386,11th,7,Divorced,?,Unmarried,White,Female,0,0,35,United-States,<=50K -53,State-gov,281074,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,1092,40,United-States,<=50K -33,Local-gov,248346,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,167482,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -18,?,171088,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -43,Federal-gov,211763,Doctorate,16,Separated,Prof-specialty,Unmarried,Black,Female,0,0,24,United-States,>50K -20,Private,122166,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,370119,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -36,Self-emp-not-inc,138940,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -41,Private,174575,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,45,United-States,>50K -67,Private,101132,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,1797,0,40,United-States,<=50K -38,Private,292307,Bachelors,13,Married-spouse-absent,Craft-repair,Not-in-family,Black,Male,0,0,40,Dominican-Republic,<=50K -47,Self-emp-not-inc,248776,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,25,United-States,<=50K -39,Private,314007,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,213226,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,35,?,<=50K -36,Private,76845,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K -24,Private,148320,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -50,Self-emp-not-inc,54261,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K -21,Private,223352,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,1055,0,30,United-States,<=50K -21,Private,211013,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,50,Mexico,<=50K -40,Private,209833,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,356272,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -38,Private,143538,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,242960,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -44,Local-gov,263871,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -20,Private,151105,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -44,Private,207685,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,1564,55,England,>50K -49,Local-gov,46537,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,594,0,10,United-States,<=50K -45,Self-emp-inc,84324,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -24,Private,224716,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,186269,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -58,Self-emp-not-inc,143731,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,72,United-States,>50K -39,Private,236391,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -22,Private,54560,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,266325,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,32,United-States,>50K -32,Federal-gov,42900,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -45,State-gov,183710,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,<=50K -23,Private,278254,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,45,United-States,<=50K -35,Private,119992,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -52,Private,284329,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -55,Private,368727,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,353696,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,31387,Bachelors,13,Married-civ-spouse,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,2885,0,25,United-States,<=50K -27,Private,110931,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,169532,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -21,Private,285522,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,198774,Bachelors,13,Divorced,Sales,Other-relative,White,Female,0,0,35,United-States,<=50K -32,Private,123291,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -64,Private,146110,Some-college,10,Widowed,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K -37,Self-emp-not-inc,29814,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K -61,Private,195595,7th-8th,4,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Guatemala,<=50K -44,Private,92649,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,>50K -53,Private,290688,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K -43,Private,427382,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -60,State-gov,234854,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -23,Private,276568,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,250038,Masters,14,Married-civ-spouse,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Mexico,<=50K -29,Private,150861,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,87205,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,55,England,<=50K -47,Private,343579,1st-4th,2,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,12,Mexico,<=50K -20,Private,94401,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,120238,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,40,Poland,>50K -27,Private,205440,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,198996,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,294253,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,27,United-States,<=50K -23,Private,256628,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,32,United-States,<=50K -59,Self-emp-not-inc,223131,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -46,Private,207301,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K -66,?,270460,7th-8th,4,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Local-gov,125457,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,38,United-States,>50K -36,Local-gov,212856,11th,7,Never-married,Other-service,Unmarried,White,Female,0,0,23,United-States,<=50K -44,Private,197389,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -17,Private,73338,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -27,Private,68037,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -32,Private,185027,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -53,Private,107123,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -22,Private,109482,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,98,United-States,<=50K -30,Private,174543,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,208407,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2002,30,United-States,<=50K -68,Self-emp-not-inc,211584,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -39,Private,108540,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,202416,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -62,?,160155,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,6418,0,40,United-States,>50K -20,Private,176178,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -21,Private,265148,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,38,Jamaica,<=50K -34,Private,220631,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,50,?,<=50K -30,Self-emp-not-inc,303692,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,<=50K -25,Private,135845,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -23,State-gov,199915,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,21,United-States,<=50K -40,State-gov,150533,Bachelors,13,Married-civ-spouse,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,<=50K -26,Federal-gov,85482,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -57,Self-emp-not-inc,24473,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -36,Private,272944,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -43,?,82077,Some-college,10,Divorced,?,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -49,State-gov,194895,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Private,314153,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -32,Private,176253,Some-college,10,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -59,Private,113959,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -42,State-gov,167581,Bachelors,13,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -37,Private,79586,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Iran,<=50K -40,Private,166662,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K -47,Private,72896,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,345730,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -30,Private,302473,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -42,Private,42346,HS-grad,9,Widowed,Exec-managerial,Not-in-family,Black,Female,0,0,35,United-States,<=50K -21,Private,243921,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,131620,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Own-child,White,Female,0,0,40,Dominican-Republic,<=50K -47,Private,158924,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K -22,Self-emp-not-inc,32921,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K -35,Private,252897,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,14344,0,40,United-States,>50K -41,Private,155657,11th,7,Never-married,Handlers-cleaners,Other-relative,Black,Female,0,0,40,United-States,<=50K -43,Federal-gov,155106,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,53,United-States,<=50K -60,Private,82775,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -73,Private,26248,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K -90,Private,88991,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,England,>50K -62,Federal-gov,125155,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K -28,Private,218039,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,53524,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,259352,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -30,Private,296453,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -19,Private,278915,12th,8,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,52,United-States,<=50K -23,Private,565313,Some-college,10,Never-married,Other-service,Own-child,Black,Male,2202,0,80,United-States,<=50K -22,Federal-gov,274103,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K -19,Private,271118,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,28,United-States,<=50K -45,Federal-gov,207107,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,Asian-Pac-Islander,Male,0,2080,40,Philippines,<=50K -26,Local-gov,138597,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K -42,Local-gov,180985,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,99999,0,40,United-States,>50K -62,Self-emp-not-inc,159939,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -61,Private,110920,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,34862,Bachelors,13,Divorced,Sales,Not-in-family,Amer-Indian-Eskimo,Male,0,1564,60,United-States,>50K -22,Local-gov,163205,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,53,United-States,<=50K -56,Private,110003,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -32,Private,229051,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -24,?,144898,Some-college,10,Never-married,?,Unmarried,White,Male,0,0,40,United-States,<=50K -26,Private,211596,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,48458,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,1669,45,United-States,<=50K -58,Private,201393,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Male,0,1876,40,United-States,<=50K -25,Self-emp-not-inc,136450,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K -23,Private,193586,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -23,Private,91189,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,227832,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,271936,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -35,Private,61343,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -30,Private,157778,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,>50K -23,Private,201680,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,228320,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -72,Private,33404,10th,6,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -21,Private,103205,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,279029,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,213092,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Private,126104,Masters,14,Divorced,Adm-clerical,Not-in-family,White,Female,0,1980,45,United-States,<=50K -32,Private,119124,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -65,Private,31924,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K -22,Private,253799,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,?,<=50K -52,Private,266138,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,>50K -65,Private,185001,10th,6,Widowed,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -33,Self-emp-not-inc,34102,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -35,Private,115214,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,6497,0,65,United-States,<=50K -27,Private,289484,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -34,State-gov,287908,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,42,United-States,<=50K -53,Self-emp-not-inc,158284,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K -23,Private,60668,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K -43,State-gov,222978,Doctorate,16,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K -58,Private,244605,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,3908,0,40,United-States,<=50K -38,Private,150601,10th,6,Separated,Adm-clerical,Unmarried,White,Male,0,3770,40,United-States,<=50K -26,Private,199143,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -60,Private,131681,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -28,Private,346406,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1672,50,United-States,<=50K -33,Federal-gov,391122,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -29,Local-gov,280344,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -54,State-gov,188809,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -41,Private,277488,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,36,United-States,<=50K -63,Self-emp-not-inc,181561,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -31,Private,158545,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,27,United-States,<=50K -23,Private,313573,Bachelors,13,Never-married,Sales,Own-child,Black,Female,0,0,25,United-States,<=50K -31,Private,591711,Some-college,10,Married-spouse-absent,Transport-moving,Not-in-family,Black,Male,0,0,40,?,<=50K -41,Private,268183,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -51,Private,392286,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -59,Private,233312,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -23,Private,520231,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -24,Self-emp-not-inc,186831,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,45,United-States,<=50K -67,Self-emp-not-inc,141085,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -65,?,198019,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -47,Local-gov,198660,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -21,Private,409230,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Guatemala,<=50K -38,Private,376025,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,80167,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,99357,Masters,14,Divorced,Prof-specialty,Own-child,White,Female,1506,0,40,United-States,<=50K -24,Private,82847,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,50,Portugal,>50K -24,Private,22201,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,40,Thailand,<=50K -38,Private,275223,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K -19,Private,117595,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K -32,Private,207668,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -63,Self-emp-not-inc,179981,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -18,Private,192583,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -36,Private,66304,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -41,Private,200671,Bachelors,13,Divorced,Transport-moving,Own-child,Black,Male,6497,0,40,United-States,<=50K -57,Private,32365,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,28497,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,222978,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,1504,40,United-States,<=50K -25,Private,160261,Some-college,10,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,40,China,<=50K -48,Private,120724,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -20,Private,91733,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K -74,Self-emp-not-inc,146929,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -44,Private,205706,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,181666,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -54,Local-gov,279452,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,207568,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,>50K -38,Private,22494,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,7443,0,40,United-States,<=50K -18,Private,210026,10th,6,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -32,Local-gov,190889,Masters,14,Never-married,Prof-specialty,Not-in-family,Other,Female,0,0,40,?,<=50K -24,Private,109869,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -19,Self-emp-not-inc,285263,9th,5,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,Mexico,<=50K -28,Private,192588,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,232945,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,Other,Male,0,0,30,United-States,<=50K -49,Local-gov,31339,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,305147,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -63,Private,188914,HS-grad,9,Widowed,Machine-op-inspct,Other-relative,Black,Female,0,0,40,Haiti,<=50K -58,Self-emp-not-inc,141165,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -68,Self-emp-inc,136218,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,15,United-States,<=50K -41,Federal-gov,371382,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -21,?,199177,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,221366,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,50,United-States,>50K -24,Private,403671,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,193871,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Private,306183,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,44,United-States,<=50K -64,?,159938,HS-grad,9,Divorced,?,Not-in-family,White,Male,8614,0,40,United-States,>50K -54,Private,124194,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,69847,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,30,United-States,<=50K -26,State-gov,169323,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,State-gov,172327,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K -48,Private,118889,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,2885,0,15,United-States,<=50K -50,Private,166220,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,White,Female,3942,0,40,United-States,<=50K -39,Private,186420,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,192779,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,>50K -41,Private,105616,Some-college,10,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,48,United-States,<=50K -24,Private,141113,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,2580,0,40,United-States,<=50K -57,Private,160275,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,164507,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Columbia,<=50K -41,Private,207578,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,India,>50K -55,Private,314592,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -41,?,254630,Assoc-voc,11,Divorced,?,Not-in-family,White,Male,0,0,80,United-States,<=50K -69,Private,159522,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,Black,Female,2964,0,40,United-States,<=50K -22,Private,112130,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -45,Private,192835,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,3942,0,40,United-States,<=50K -33,Private,206280,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -57,Private,308861,Some-college,10,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,93206,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,1902,65,United-States,>50K -40,Private,206066,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -48,Self-emp-not-inc,309895,Some-college,10,Divorced,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -38,Local-gov,216129,Some-college,10,Married-spouse-absent,Exec-managerial,Unmarried,Black,Female,0,0,35,United-States,<=50K -26,State-gov,287420,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -24,Private,163595,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,170092,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -37,Private,287031,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,75,United-States,>50K -42,Private,59474,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,99151,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -37,Private,206888,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -28,Private,177119,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,80,?,<=50K -22,Private,173736,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,182163,11th,7,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Germany,<=50K -45,Local-gov,311080,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -29,Self-emp-not-inc,389857,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K -23,Private,297152,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,25,United-States,<=50K -24,Federal-gov,130534,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,137301,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -58,Private,316235,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,32,United-States,<=50K -28,Self-emp-inc,32922,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -58,Private,118303,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,35,United-States,>50K -18,Private,188241,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -59,Private,236731,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -39,Private,209397,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -53,Self-emp-inc,290640,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -54,Private,221915,Prof-school,15,Never-married,Prof-specialty,Other-relative,White,Female,0,0,65,United-States,<=50K -51,Private,175246,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -59,Private,159724,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,7298,0,55,United-States,>50K -42,State-gov,160369,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K -36,Private,461337,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -37,Private,187311,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -32,Private,29312,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,197365,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -19,Private,301747,HS-grad,9,Separated,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -55,Local-gov,135439,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,<=50K -30,Private,340917,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,155057,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -65,?,200749,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K -44,Private,323627,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,5,United-States,<=50K -23,?,154921,5th-6th,3,Never-married,?,Not-in-family,White,Male,0,0,50,United-States,<=50K -32,Private,131425,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -60,Private,184242,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -28,Private,149769,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Cambodia,<=50K -44,Private,124924,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Mexico,<=50K -29,Private,253003,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,16,United-States,<=50K -57,State-gov,250976,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,104196,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -34,Self-emp-not-inc,250182,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -44,Private,188331,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,42,United-States,<=50K -44,Private,187322,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Private,130714,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,22,United-States,<=50K -37,Private,40955,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -35,Private,107125,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,16,United-States,>50K -51,Private,145714,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,?,>50K -27,Private,133937,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -41,State-gov,293485,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,3103,0,40,United-States,>50K -28,?,203260,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,8,United-States,<=50K -37,Self-emp-not-inc,143368,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -18,Private,51789,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,8,United-States,<=50K -24,State-gov,211049,7th-8th,4,Never-married,Tech-support,Unmarried,White,Female,0,0,20,United-States,<=50K -53,Private,81794,12th,8,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -40,Private,139193,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,1980,48,United-States,<=50K -54,Private,150999,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,60,United-States,<=50K -22,Private,332657,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,240043,10th,6,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,30,United-States,<=50K -43,Private,186188,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,Iran,<=50K -58,State-gov,223400,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K -59,Local-gov,102442,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -31,Private,236599,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -35,Private,283237,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -17,Private,150106,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -45,Private,102076,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K -40,Private,374764,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,32528,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -25,Federal-gov,50053,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -58,Private,212864,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,30673,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,>50K -69,?,248248,1st-4th,2,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,34,Philippines,<=50K -23,Private,419554,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,54,United-States,<=50K -32,State-gov,177216,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,118158,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,<=50K -41,Private,116391,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Germany,<=50K -74,Private,194312,9th,5,Widowed,Craft-repair,Not-in-family,White,Male,0,0,10,?,<=50K -43,Private,111895,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -18,Private,193290,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,1721,20,United-States,<=50K -24,Federal-gov,287988,Bachelors,13,Never-married,Armed-Forces,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Private,147653,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,32,United-States,<=50K -54,Private,117674,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -60,Private,187458,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,410351,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,207578,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -62,?,55621,Some-college,10,Married-civ-spouse,?,Husband,Black,Male,0,0,35,United-States,>50K -27,State-gov,271243,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Male,0,0,40,Jamaica,<=50K -30,Private,188798,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -63,Local-gov,168656,Bachelors,13,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,35,Outlying-US(Guam-USVI-etc),<=50K -33,Private,460408,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,3325,0,50,United-States,<=50K -34,Private,241885,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -20,?,133061,9th,5,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,194097,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,219137,10th,6,Never-married,Other-service,Own-child,Black,Male,0,0,25,United-States,<=50K -50,Private,31621,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,Private,207685,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,57052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2885,0,40,United-States,<=50K -19,Private,109854,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -20,?,369678,HS-grad,9,Never-married,?,Not-in-family,Other,Male,0,0,43,United-States,<=50K -17,Private,53611,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,6,United-States,<=50K -47,Private,344916,Assoc-acdm,12,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -25,Local-gov,198813,Bachelors,13,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K -71,Private,180733,Masters,14,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -21,Private,188073,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -69,?,159077,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,48,United-States,<=50K -48,Private,174829,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,142791,7th-8th,4,Widowed,Sales,Other-relative,White,Female,0,1602,3,United-States,<=50K -58,Self-emp-not-inc,43221,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2415,40,United-States,>50K -34,Private,188736,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Other-relative,Other,Female,0,0,20,Columbia,<=50K -33,Local-gov,222654,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,66,?,<=50K -56,Private,251836,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -40,Federal-gov,112388,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,209641,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K -42,Private,313945,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Ecuador,<=50K -19,?,134974,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -41,Private,152742,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,3325,0,40,United-States,<=50K -28,Self-emp-inc,153291,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -40,Private,353432,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,35,United-States,<=50K -23,Private,96635,Some-college,10,Never-married,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K -46,?,202560,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,>50K -39,Private,150057,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -39,Private,114844,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1876,50,United-States,<=50K -45,Private,132847,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,?,41356,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -50,Self-emp-not-inc,93705,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,309350,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,123084,11th,7,Married-civ-spouse,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -55,Private,174662,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,32,United-States,<=50K -62,Federal-gov,177295,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,211880,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,454915,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,232475,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Self-emp-inc,244605,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -50,Private,150876,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1887,55,United-States,>50K -51,Private,257337,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -47,Private,329144,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4386,0,45,United-States,>50K -37,Private,116960,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -58,Private,267663,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Mexico,<=50K -39,Private,47871,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,>50K -34,Private,295922,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,England,>50K -45,Private,175625,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -19,?,129586,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,190179,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K -40,Private,168071,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Male,3325,0,40,United-States,<=50K -39,Self-emp-not-inc,202027,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -36,Private,202662,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -56,Private,101436,HS-grad,9,Divorced,Adm-clerical,Other-relative,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K -19,?,119234,Some-college,10,Never-married,?,Other-relative,White,Female,0,0,15,United-States,<=50K -37,Private,360743,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,>50K -60,Local-gov,93272,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,145574,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -51,Private,101722,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,3908,0,47,United-States,<=50K -34,Private,135785,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K -23,?,218415,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K -19,Private,127709,HS-grad,9,Never-married,Farming-fishing,Own-child,Black,Male,0,0,30,United-States,<=50K -37,Federal-gov,448337,HS-grad,9,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -58,Private,310320,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -33,Private,251521,11th,7,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -39,Private,255503,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -36,Private,116608,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,4865,0,40,United-States,<=50K -26,Private,71009,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -22,Private,174975,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,0,0,36,United-States,<=50K -32,Private,108023,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,Private,204018,11th,7,Never-married,Sales,Unmarried,White,Male,0,0,15,United-States,<=50K -57,?,366563,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -68,Private,121846,7th-8th,4,Widowed,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K -70,Private,278139,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3432,0,40,United-States,<=50K -30,Private,114691,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -19,State-gov,536725,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,15,Japan,<=50K -51,Private,94432,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,286002,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,30,Nicaragua,<=50K -47,Private,101684,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,352834,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,55,United-States,>50K -36,Private,99146,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K -30,Private,231413,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Private,158846,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -41,Local-gov,190786,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -25,Private,306513,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -62,Private,152148,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,309580,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,?,130832,Bachelors,13,Never-married,?,Unmarried,White,Female,0,0,10,United-States,<=50K -25,Private,194897,HS-grad,9,Never-married,Sales,Own-child,Amer-Indian-Eskimo,Male,6849,0,40,United-States,<=50K -30,Private,130078,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -48,Private,39986,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,379198,HS-grad,9,Never-married,Other-service,Other-relative,Other,Male,0,0,40,Mexico,<=50K -51,Private,189762,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,15,United-States,>50K -19,Private,178147,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K -31,Private,332379,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,175759,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K -21,?,262062,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,275446,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,278522,11th,7,Never-married,Farming-fishing,Own-child,Black,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,54683,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,1590,40,United-States,<=50K -57,Private,136107,9th,5,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -18,Private,205894,11th,7,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -54,Private,210736,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -32,Private,166634,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -52,Private,185283,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,180553,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,199058,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,?,<=50K -18,Private,145005,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -37,Self-emp-not-inc,184655,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -52,Private,358554,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K -59,Private,307423,9th,5,Never-married,Other-service,Not-in-family,Black,Male,0,0,50,United-States,<=50K -27,Private,472070,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Federal-gov,115562,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,32446,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -44,Self-emp-not-inc,33121,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K -37,Private,183345,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -28,Private,119793,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,10520,0,50,United-States,>50K -48,Self-emp-not-inc,97883,HS-grad,9,Separated,Other-service,Other-relative,White,Female,0,0,25,United-States,<=50K -58,Self-emp-not-inc,31732,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -29,Private,206250,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -37,Private,103323,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-inc,135436,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -36,Private,376455,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K -52,Private,160703,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,<=50K -30,Private,131699,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,243842,9th,5,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,349910,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -61,Private,170262,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,38,United-States,>50K -33,Private,184306,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,30,United-States,<=50K -46,Private,224202,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -64,Private,151540,11th,7,Widowed,Tech-support,Unmarried,White,Female,0,0,16,United-States,<=50K -28,Private,231197,10th,6,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,0,40,Mexico,<=50K -19,Private,279968,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K -36,Private,162651,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Male,0,0,40,Columbia,<=50K -43,Self-emp-not-inc,130126,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -39,Self-emp-not-inc,160120,Doctorate,16,Divorced,Adm-clerical,Other-relative,Other,Male,0,0,40,?,<=50K -56,Private,161662,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K -24,Local-gov,201664,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,137142,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -45,Self-emp-inc,122206,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -56,Local-gov,183169,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,126513,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Female,0,0,40,?,<=50K -35,Federal-gov,185053,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,408427,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -50,Self-emp-not-inc,198581,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -61,Private,199198,7th-8th,4,Widowed,Other-service,Not-in-family,Black,Female,0,0,21,United-States,<=50K -31,Private,184306,Assoc-voc,11,Never-married,Transport-moving,Own-child,White,Male,0,1980,60,United-States,<=50K -63,Private,172740,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,205153,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,164964,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,162606,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -24,Private,179627,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,103408,Some-college,10,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,Germany,>50K -27,Private,36440,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,57512,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,48,United-States,<=50K -27,Private,187981,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -55,Private,393768,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,108726,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Private,180551,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -51,Self-emp-not-inc,176240,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -56,Private,70720,12th,8,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -39,Private,35890,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,283676,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -34,Local-gov,105540,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2051,40,United-States,<=50K -44,Private,408717,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,3674,0,50,United-States,<=50K -21,Private,57916,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,177974,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,70,United-States,<=50K -34,?,177304,10th,6,Divorced,?,Not-in-family,White,Male,0,0,40,Columbia,<=50K -18,Private,115839,12th,8,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -34,?,205256,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2885,0,80,United-States,<=50K -38,Private,117802,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,65,United-States,>50K -19,Private,211355,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,12,United-States,<=50K -46,Private,173243,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,343200,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -22,Private,401690,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,Mexico,<=50K -38,Private,196123,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,168981,Masters,14,Divorced,Exec-managerial,Own-child,White,Female,14084,0,50,United-States,>50K -83,Self-emp-not-inc,213866,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,8,United-States,<=50K -34,Private,55176,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -38,Private,153976,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,119176,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,169117,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,1887,40,United-States,>50K -38,Private,156550,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -25,Private,109609,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K -38,Private,26698,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,236497,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -33,State-gov,306309,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -17,Private,242773,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -28,Private,124680,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,6849,0,60,United-States,<=50K -52,Local-gov,43909,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,Private,112820,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Male,2463,0,40,United-States,<=50K -25,Private,148300,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K -17,Private,133449,9th,5,Never-married,Other-service,Own-child,Black,Male,0,0,26,United-States,<=50K -22,Private,263670,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,80,United-States,<=50K -22,Private,276494,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -46,Private,190115,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K -58,Private,317479,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -39,Private,151248,Some-college,10,Divorced,Sales,Other-relative,White,Female,0,0,35,United-States,<=50K -59,Local-gov,130532,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,40,Poland,<=50K -61,Private,160062,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,299635,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -50,Private,171225,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -51,Private,33304,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,95634,Bachelors,13,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,45,?,<=50K -20,Private,243878,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -38,Local-gov,181721,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K -44,Federal-gov,201435,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -28,Private,334032,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -50,Private,220019,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -53,Private,71772,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -42,Self-emp-not-inc,27661,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -47,Private,191411,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,45,India,<=50K -39,Private,123945,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -38,Self-emp-not-inc,37778,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K -34,State-gov,171216,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,United-States,<=50K -40,Private,93955,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -63,Private,163809,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -53,Private,346754,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -43,Private,188436,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,<=50K -28,Private,72443,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,1669,60,United-States,<=50K -68,Private,186350,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,10,United-States,>50K -22,?,214238,7th-8th,4,Never-married,?,Unmarried,White,Female,0,0,40,Mexico,<=50K -46,State-gov,394860,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,<=50K -57,Private,262642,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -38,Private,125550,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -66,Private,192504,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,131310,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -54,Private,249322,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K -38,Private,172755,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,209993,11th,7,Separated,Priv-house-serv,Unmarried,White,Female,0,0,8,Mexico,<=50K -30,Private,166961,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,37,United-States,<=50K -39,Private,315291,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Private,284703,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -50,Private,166565,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -30,Self-emp-not-inc,173854,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -25,Private,189219,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,210781,Bachelors,13,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,France,<=50K -59,Local-gov,171328,HS-grad,9,Separated,Protective-serv,Other-relative,Black,Female,0,2339,40,United-States,<=50K -45,Private,199832,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,15,United-States,<=50K -64,Private,251292,5th-6th,3,Separated,Other-service,Other-relative,White,Female,0,0,20,Cuba,<=50K -61,Private,122246,12th,8,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -42,Private,190767,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,278736,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -53,Private,124963,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,167476,11th,7,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,7,United-States,<=50K -34,Local-gov,246104,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K -41,Private,171615,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,48,United-States,<=50K -67,Private,264095,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,9386,0,24,Cuba,>50K -46,Private,177114,Assoc-acdm,12,Widowed,Prof-specialty,Unmarried,White,Female,0,0,27,United-States,<=50K -32,Private,146154,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -41,Private,198196,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,79712,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,154785,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -33,Private,182423,HS-grad,9,Divorced,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K -20,?,347292,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,32,United-States,<=50K -34,Private,118584,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,219835,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,?,<=50K -17,?,148769,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -45,Private,197418,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,48,United-States,<=50K -21,Private,253190,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,192273,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,129573,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,United-States,<=50K -17,Private,173807,11th,7,Never-married,Craft-repair,Own-child,White,Female,0,0,15,United-States,<=50K -35,Private,217893,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -38,Private,102938,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,Local-gov,407495,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,>50K -25,Private,50053,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,Japan,<=50K -57,Private,233382,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,Cuba,<=50K -32,Private,270968,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -39,Local-gov,272166,Bachelors,13,Separated,Prof-specialty,Not-in-family,Black,Male,0,0,30,United-States,<=50K -23,Private,199915,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -21,Private,305781,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,45,United-States,<=50K -47,Private,107682,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K -25,Private,188507,7th-8th,4,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,Dominican-Republic,<=50K -18,?,28311,11th,7,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -41,Federal-gov,197069,Some-college,10,Married-spouse-absent,Adm-clerical,Not-in-family,Black,Male,4650,0,40,United-States,<=50K -19,Private,177839,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -24,Private,77665,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,<=50K -57,Private,127728,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -51,?,172175,Doctorate,16,Never-married,?,Not-in-family,White,Male,0,2824,40,United-States,>50K -32,Private,106742,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,192838,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -40,Private,79531,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,>50K -21,State-gov,337766,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -45,Self-emp-not-inc,33234,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -17,?,34088,12th,8,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -55,Private,176904,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -42,Private,172148,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -49,Private,199058,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K -38,Private,48093,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,143664,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,168337,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K -43,Private,195212,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,?,<=50K -39,Private,230329,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Canada,>50K -42,Private,376072,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -32,Private,430175,HS-grad,9,Divorced,Craft-repair,Other-relative,Black,Female,0,0,50,United-States,<=50K -44,Federal-gov,240628,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,2354,0,40,United-States,<=50K -50,Self-emp-inc,158294,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,80,United-States,>50K -55,Private,28735,HS-grad,9,Divorced,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,45,United-States,<=50K -37,Private,167482,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -59,Private,113203,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Private,103948,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,310525,12th,8,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,32,United-States,<=50K -35,Private,105138,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -44,Private,153489,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -57,State-gov,254949,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Private,118149,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -18,Private,267965,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K -43,Private,50646,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K -33,Private,147700,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,<=50K -18,Private,446771,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K -47,Private,168262,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -53,Private,117058,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -59,Self-emp-not-inc,140957,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,>50K -35,Private,186126,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,?,<=50K -49,Private,268234,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,485117,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,31350,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,60,England,<=50K -36,State-gov,210830,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K -29,Private,196420,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -52,Private,172165,10th,6,Divorced,Other-service,Other-relative,White,Female,0,0,25,United-States,<=50K -50,Self-emp-not-inc,186565,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -22,Private,119359,Bachelors,13,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -44,Self-emp-not-inc,109684,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,169589,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -49,Private,125421,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -31,Private,500002,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,Mexico,<=50K -33,Private,224141,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,113290,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,15,United-States,<=50K -62,?,123992,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,58098,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,1974,40,United-States,<=50K -46,?,37672,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,15,United-States,<=50K -55,Private,198145,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -49,Federal-gov,35406,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,20,United-States,<=50K -22,Private,199419,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -43,Private,145441,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K -58,Private,238438,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,<=50K -48,State-gov,212954,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -21,Private,56582,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K -67,Local-gov,176931,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -39,Self-emp-not-inc,188571,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -52,Federal-gov,312500,Assoc-voc,11,Divorced,Farming-fishing,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,278404,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Self-emp-not-inc,114225,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K -18,Private,184016,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -41,Local-gov,183009,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -59,Private,205759,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -23,Private,462294,Assoc-acdm,12,Never-married,Other-service,Own-child,Black,Male,0,0,44,United-States,<=50K -42,Private,102085,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -54,Self-emp-not-inc,83311,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,>50K -39,Private,248694,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -57,Local-gov,190747,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,162988,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -31,Self-emp-not-inc,156890,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,310380,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,Black,Female,0,0,45,United-States,<=50K -35,Private,172186,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,311497,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Self-emp-inc,443508,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -31,Private,152156,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -46,Private,155890,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -38,State-gov,312528,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,37,United-States,<=50K -51,Private,282744,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Canada,<=50K -27,Private,205145,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,?,119918,Bachelors,13,Never-married,?,Not-in-family,Black,Male,0,0,45,?,<=50K -22,Private,401451,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,>50K -72,?,173427,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,Cuba,<=50K -25,Private,189027,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -58,Self-emp-not-inc,35551,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -23,Private,42706,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -63,Private,106910,5th-6th,3,Widowed,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,19,Philippines,<=50K -23,Private,53245,9th,5,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,221672,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -75,Private,71898,Preschool,1,Never-married,Priv-house-serv,Not-in-family,Asian-Pac-Islander,Female,0,0,48,Philippines,<=50K -52,Private,222107,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K -69,Private,277588,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,10,United-States,<=50K -52,Private,178983,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -40,Federal-gov,391744,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,Private,418020,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -21,State-gov,39236,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,8,United-States,<=50K -30,Private,86808,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K -46,Private,147640,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,1902,40,United-States,<=50K -21,Private,184756,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K -44,Private,191256,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -51,State-gov,105943,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,3908,0,40,United-States,<=50K -40,Private,101272,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K -33,State-gov,175023,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,37,United-States,<=50K -22,Self-emp-not-inc,357612,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -23,Private,82777,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -75,Self-emp-not-inc,218521,Some-college,10,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -55,Private,179534,11th,7,Widowed,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -24,?,33339,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -45,Private,148549,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,27828,0,56,United-States,>50K -31,Private,198069,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K -49,Private,236586,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -26,Local-gov,167261,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,Private,160942,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,3103,0,50,United-States,<=50K -44,Private,107584,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,3908,0,50,United-States,<=50K -28,Local-gov,251854,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -79,?,163140,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -51,Private,302579,HS-grad,9,Divorced,Other-service,Other-relative,Black,Female,0,0,30,United-States,<=50K -44,Self-emp-inc,64632,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -24,Private,83141,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Self-emp-inc,326048,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Private,83471,HS-grad,9,Widowed,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K -23,Private,170070,12th,8,Never-married,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -25,Private,207875,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -48,Private,119722,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,8,United-States,<=50K -18,Private,335665,11th,7,Never-married,Other-service,Other-relative,Black,Female,0,0,24,United-States,<=50K -25,Private,212522,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -19,Private,42069,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,2176,0,45,United-States,<=50K -26,?,131777,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,2002,40,United-States,<=50K -33,Private,236396,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K -42,Private,159911,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,133833,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,226947,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -33,Private,174201,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,49707,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -33,Private,201988,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -62,Self-emp-not-inc,162347,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,United-States,>50K -30,Private,182833,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K -22,Private,383603,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -34,Private,70466,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,184846,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,60,United-States,<=50K -25,Private,176756,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,112512,HS-grad,9,Widowed,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -28,Private,137296,Assoc-acdm,12,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -28,Private,37821,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K -25,Private,295108,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,25,United-States,<=50K -40,Private,408717,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -35,Private,255635,9th,5,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K -48,Self-emp-not-inc,177783,7th-8th,4,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -63,Self-emp-not-inc,179400,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2290,0,20,United-States,<=50K -31,Private,240283,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -36,Private,410034,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -39,Private,180667,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,196332,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -32,Local-gov,159187,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -46,Private,225065,Preschool,1,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Mexico,<=50K -19,Private,178147,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -30,Private,272669,Some-college,10,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -35,Private,347491,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,?,146399,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,55,United-States,<=50K -33,Private,75167,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -25,Private,133373,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -64,Local-gov,84737,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,35,United-States,>50K -18,Private,96483,HS-grad,9,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K -59,Private,368005,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,State-gov,36032,HS-grad,9,Divorced,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,Private,174215,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,15,United-States,<=50K -24,Private,228772,5th-6th,3,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,Mexico,<=50K -22,Private,242912,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -49,Self-emp-inc,86701,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,56,United-States,>50K -35,Private,166549,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -48,Local-gov,121622,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,1380,40,United-States,<=50K -18,Private,201613,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -35,Private,29874,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,168138,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,162404,Bachelors,13,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,60,United-States,<=50K -21,?,162160,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K -26,Private,139116,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,50,United-States,<=50K -44,Private,192381,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,40,United-States,>50K -39,Private,370585,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -40,State-gov,151038,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -70,Self-emp-not-inc,36311,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,35,United-States,>50K -34,Private,271933,Masters,14,Never-married,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -34,Private,182401,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -66,Private,234743,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -40,Private,182140,HS-grad,9,Separated,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K -61,Self-emp-not-inc,215591,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K -59,Self-emp-not-inc,96459,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,?,205562,Masters,14,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -47,Private,188081,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -33,State-gov,121245,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -18,Private,127273,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,20,United-States,<=50K -25,Private,114345,9th,5,Never-married,Craft-repair,Unmarried,White,Male,914,0,40,United-States,<=50K -22,Private,341227,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,20,United-States,<=50K -40,Local-gov,166893,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K -68,?,65730,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K -30,Private,145231,Assoc-acdm,12,Divorced,Adm-clerical,Own-child,White,Female,0,1762,40,United-States,<=50K -73,Self-emp-not-inc,102510,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,6418,0,99,United-States,>50K -45,Self-emp-not-inc,285335,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,10,United-States,<=50K -23,Private,177087,11th,7,Never-married,Adm-clerical,Unmarried,Black,Male,0,0,35,United-States,<=50K -40,Private,240504,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -39,Private,218490,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K -23,Private,384651,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,189551,HS-grad,9,Divorced,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -53,Private,194791,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -24,Private,194630,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,35,United-States,<=50K -53,Private,177647,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,51620,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -34,Private,251421,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,180477,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,<=50K -40,State-gov,391736,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,State-gov,170091,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,6,United-States,<=50K -36,Private,175360,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,13550,0,50,United-States,>50K -35,Private,276153,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,4650,0,40,United-States,<=50K -53,Federal-gov,105788,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,50,United-States,>50K -42,Local-gov,248476,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,>50K -32,Private,168443,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -33,Private,120201,HS-grad,9,Divorced,Adm-clerical,Own-child,Other,Female,0,0,65,United-States,<=50K -59,Private,114678,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,60,United-States,<=50K -36,Private,167440,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,<=50K -37,Self-emp-not-inc,265266,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Cuba,>50K -31,Private,212235,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -46,Private,44671,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -44,State-gov,87282,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,38,United-States,<=50K -27,Private,112754,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,60,United-States,>50K -29,Self-emp-not-inc,322238,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,65382,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -62,Self-emp-not-inc,115176,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K -48,Self-emp-not-inc,162236,Masters,14,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,?,>50K -42,Private,409902,HS-grad,9,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,25,United-States,<=50K -60,Local-gov,204062,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K -35,Private,283305,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,435638,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Self-emp-inc,114733,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,36,United-States,<=50K -22,Private,162343,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,22,United-States,<=50K -18,?,195981,HS-grad,9,Widowed,?,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,79531,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -44,State-gov,395078,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Local-gov,159641,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,625,40,United-States,<=50K -21,Private,159567,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -49,Private,133917,Assoc-voc,11,Never-married,Sales,Other-relative,Black,Male,0,0,40,?,<=50K -52,Private,196894,11th,7,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -39,Local-gov,132879,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -23,Private,190290,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -54,Private,102828,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,49,United-States,<=50K -31,Private,128493,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -30,State-gov,290677,Masters,14,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,20,United-States,<=50K -21,Private,283757,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -38,Local-gov,169104,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -51,Private,171409,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -34,Self-emp-not-inc,319165,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -22,Private,203182,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K -20,?,211968,Some-college,10,Never-married,?,Own-child,White,Female,0,0,45,United-States,<=50K -26,Private,215384,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1974,55,United-States,<=50K -26,Private,166666,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -41,Private,156566,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -35,Private,140564,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -27,Local-gov,322208,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -65,Private,420277,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,123430,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,Mexico,<=50K -45,Self-emp-inc,151584,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -37,Self-emp-not-inc,348960,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -47,Private,168232,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,45,United-States,>50K -47,Self-emp-inc,201699,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -33,Private,511517,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,118001,10th,6,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -38,Private,193961,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -21,Private,32732,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,223548,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K -33,Private,389932,HS-grad,9,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,55,United-States,<=50K -29,Private,102345,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,52,United-States,<=50K -41,Private,107584,Some-college,10,Separated,Transport-moving,Not-in-family,White,Male,0,0,35,United-States,<=50K -20,?,34321,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -20,State-gov,39478,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,54,United-States,<=50K -34,Self-emp-not-inc,276221,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -78,Self-emp-inc,385242,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,9386,0,45,United-States,>50K -46,Private,235646,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -40,Private,123306,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -59,Private,38573,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -23,Private,216889,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,386705,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,24,United-States,<=50K -47,Self-emp-not-inc,249585,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -31,Local-gov,47276,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,38,United-States,>50K -42,Self-emp-not-inc,162758,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,56,United-States,>50K -46,Local-gov,146497,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,190765,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,44,United-States,<=50K -21,Private,186314,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,213615,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -38,Private,162322,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -44,State-gov,115932,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -61,Self-emp-not-inc,392694,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -38,State-gov,143517,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -50,Self-emp-inc,123429,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Italy,>50K -53,Private,254285,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -37,Private,238311,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,36,United-States,>50K -49,Private,281647,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -30,Private,75167,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -19,Private,252862,Assoc-voc,11,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -59,Self-emp-not-inc,199240,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,20,England,<=50K -43,Private,145762,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -29,Local-gov,142443,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -49,Private,99361,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -36,Private,105138,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -26,Private,183171,11th,7,Never-married,Other-service,Own-child,Black,Male,1055,0,32,United-States,<=50K -18,Private,151866,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -60,Private,297261,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K -43,Private,148998,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,143046,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -41,Private,183850,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -55,Self-emp-not-inc,248841,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K -31,Private,198452,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -20,Private,161092,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,112497,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -51,Self-emp-not-inc,155963,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -28,Private,147560,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1902,55,United-States,>50K -24,Private,376393,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,State-gov,151790,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -21,Private,438139,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -20,?,163911,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,214896,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -30,Private,102821,Some-college,10,Married-civ-spouse,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -44,Self-emp-not-inc,90021,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -45,Private,77085,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,>50K -42,Private,158555,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -36,?,28160,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,462255,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,144949,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,116207,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K -17,Private,187308,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -45,Local-gov,189890,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,185267,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,63434,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,35,United-States,<=50K -45,Private,1366120,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,8,United-States,<=50K -41,Self-emp-inc,495061,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,70,United-States,>50K -34,Local-gov,134886,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,1740,35,United-States,<=50K -33,Private,129707,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,>50K -17,?,181337,10th,6,Never-married,?,Own-child,Other,Female,0,0,20,United-States,<=50K -51,Private,74784,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -33,Private,44392,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -23,Private,406641,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Female,0,0,18,United-States,<=50K -52,Private,89041,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,>50K -36,?,139770,Some-college,10,Divorced,?,Own-child,White,Female,0,0,32,United-States,<=50K -25,Private,180212,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -38,?,338212,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K -64,Self-emp-not-inc,178472,9th,5,Separated,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -42,Private,384236,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -29,Private,168470,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -26,Local-gov,80485,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K -38,?,181705,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K -24,Private,216867,10th,6,Never-married,Other-service,Other-relative,White,Male,0,0,30,Mexico,<=50K -43,Federal-gov,214541,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Private,383239,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K -28,Private,70034,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -18,?,266287,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -44,Private,128485,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -81,?,89015,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,18,United-States,<=50K -55,Private,106740,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -52,Private,167527,11th,7,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Private,19302,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -35,Private,210150,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,179824,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,36,United-States,<=50K -27,Private,420351,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -23,State-gov,215443,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,15,United-States,<=50K -26,Private,116044,11th,7,Separated,Craft-repair,Other-relative,White,Male,2907,0,50,United-States,<=50K -33,Private,215306,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Cuba,<=50K -39,Private,108069,Some-college,10,Never-married,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,260046,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,31053,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -18,Private,362302,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -54,Private,87205,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -45,Private,191703,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -43,Private,242968,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -23,Local-gov,185575,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -37,Private,177858,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,2174,0,40,United-States,<=50K -33,Self-emp-not-inc,73585,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -45,Private,301802,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -32,Self-emp-inc,108467,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K -47,Private,431245,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,157217,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -22,Private,204935,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -17,Private,277112,11th,7,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -64,Self-emp-inc,59145,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,United-States,>50K -30,Local-gov,159773,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K -51,Private,118793,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,>50K -26,State-gov,152457,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,187901,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,1504,40,United-States,<=50K -50,Private,266529,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,?,256179,Some-college,10,Never-married,?,Own-child,White,Male,594,0,10,United-States,<=50K -63,Private,113756,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -48,Private,83444,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,>50K -37,Self-emp-inc,30529,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2415,50,United-States,>50K -51,?,146325,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,28,United-States,<=50K -29,Private,198825,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -69,Private,71489,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K -56,Private,111218,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -26,?,221626,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -39,Local-gov,203482,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -42,Self-emp-not-inc,352196,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,22,United-States,<=50K -41,Federal-gov,355918,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -45,Private,168262,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K -23,Private,182615,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,211482,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -34,Private,386370,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -31,?,85077,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,1902,20,United-States,>50K -46,Local-gov,180010,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -46,Without-pay,142210,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,25,United-States,<=50K -33,Private,415706,5th-6th,3,Separated,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -46,Private,237731,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,343506,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -49,Local-gov,116163,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,France,<=50K -66,?,206560,HS-grad,9,Widowed,?,Not-in-family,Other,Female,0,0,35,Puerto-Rico,<=50K -55,State-gov,153451,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,1887,40,United-States,>50K -35,Private,301862,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,33429,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,169583,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -47,Private,146497,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,16,Germany,<=50K -48,Self-emp-not-inc,383384,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -27,Private,240809,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,56,United-States,<=50K -38,Private,203763,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,218785,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -23,?,381741,Assoc-acdm,12,Never-married,?,Own-child,White,Male,0,1721,20,United-States,<=50K -17,Private,244602,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -44,State-gov,175696,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -26,Private,101027,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -37,Private,99270,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Female,0,0,40,United-States,<=50K -49,Private,224393,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -42,Private,192381,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Private,131686,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -73,?,84390,Assoc-voc,11,Married-spouse-absent,?,Not-in-family,White,Female,0,0,32,United-States,<=50K -44,Private,277533,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,72880,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,?,149646,Some-college,10,Divorced,?,Own-child,White,Female,0,0,20,?,<=50K -49,Private,209057,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,Private,108909,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -42,Private,74949,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,235639,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,State-gov,137421,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,37,Hong,<=50K -53,Private,122412,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,434894,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -35,Private,379959,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,95885,11th,7,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,13550,0,60,United-States,>50K -39,Private,225330,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,50,Poland,>50K -40,Private,32627,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -28,Private,65171,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,193380,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,184823,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,81259,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K -35,Private,301369,12th,8,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -21,Private,190968,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -71,Private,196610,7th-8th,4,Widowed,Exec-managerial,Not-in-family,White,Male,6097,0,40,United-States,>50K -31,Private,330715,HS-grad,9,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Local-gov,77698,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Private,139770,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,6849,0,40,United-States,<=50K -24,Private,109053,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,25,United-States,<=50K -69,Private,312653,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K -35,Self-emp-not-inc,193260,Masters,14,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K -35,Private,331831,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,54202,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,10520,0,50,United-States,>50K -51,Private,163948,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -48,Private,36228,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,44,United-States,<=50K -49,Private,160167,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,178356,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,2407,0,99,United-States,<=50K -43,Private,104196,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,288353,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -35,Private,187693,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,114988,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Local-gov,117392,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,121124,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -53,Private,195638,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,245053,Some-college,10,Divorced,Handlers-cleaners,Own-child,White,Male,0,1504,40,United-States,<=50K -49,State-gov,216734,Prof-school,15,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,?,197827,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,49156,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,126133,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,304463,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K -34,Private,214288,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,274969,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Female,0,0,42,United-States,<=50K -23,Private,189072,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Female,0,0,45,United-States,<=50K -46,Private,128047,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K -20,Private,210338,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -63,Private,122442,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,167081,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,3103,0,50,United-States,<=50K -33,Private,251421,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -24,Federal-gov,219519,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -36,Private,33355,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,45,United-States,<=50K -25,Private,441210,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -54,Local-gov,178356,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -50,Self-emp-not-inc,231196,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -58,State-gov,40925,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,270587,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,England,<=50K -40,Private,219266,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -27,Private,114967,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,344492,HS-grad,9,Separated,Sales,Own-child,White,Female,0,0,26,United-States,<=50K -22,Private,369387,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -80,Self-emp-not-inc,101771,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K -52,Private,137428,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -40,Federal-gov,121012,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,48,United-States,>50K -48,Private,139290,10th,6,Separated,Machine-op-inspct,Own-child,White,Female,0,0,48,United-States,<=50K -62,Private,199193,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,25,United-States,<=50K -32,Private,286689,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,42,United-States,>50K -21,?,123727,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,28,United-States,<=50K -58,Federal-gov,208640,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -37,Self-emp-not-inc,120130,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -29,Self-emp-inc,241431,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -25,Private,120450,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,152240,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,200960,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -30,Federal-gov,314310,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -30,Local-gov,44566,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,<=50K -59,Private,21792,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,10,United-States,<=50K -36,Private,182074,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,221850,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Ecuador,>50K -42,Private,240628,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -34,Private,318641,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,45,United-States,>50K -27,Self-emp-not-inc,140863,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,129150,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -41,Private,143003,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,7298,0,60,India,>50K -34,Self-emp-not-inc,198664,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,15024,0,70,South,>50K -41,Private,244945,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,138514,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -18,Private,92008,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Female,0,0,28,United-States,<=50K -23,Private,207415,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,15,United-States,<=50K -26,Private,188626,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -38,Private,257250,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,60,United-States,>50K -27,Private,133696,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,88,United-States,<=50K -21,Private,195919,10th,6,Never-married,Handlers-cleaners,Not-in-family,Other,Male,0,0,40,Dominican-Republic,<=50K -41,Private,119266,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,140474,Assoc-acdm,12,Divorced,Craft-repair,Own-child,Amer-Indian-Eskimo,Male,0,0,35,United-States,<=50K -25,Private,69739,10th,6,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,293176,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -23,Private,217961,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -40,Local-gov,163725,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -23,Private,419394,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,9,United-States,<=50K -18,Private,220836,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -37,Private,334291,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -58,Private,298601,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,3781,0,40,United-States,<=50K -36,Private,200360,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,203482,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -25,Private,99126,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,40,United-States,>50K -62,Private,109190,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -34,Private,34848,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,4064,0,40,United-States,<=50K -27,Private,29732,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,4865,0,36,United-States,<=50K -23,Private,87867,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -55,Private,123515,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,175935,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,229456,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,38,United-States,<=50K -44,Private,184105,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,4386,0,40,United-States,>50K -42,Local-gov,99554,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,190227,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -25,Private,29020,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,45,United-States,<=50K -31,Private,306459,1st-4th,2,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,35,Honduras,<=50K -42,Private,193995,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K -26,Private,105059,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -62,Private,71751,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,98,United-States,>50K -28,Private,176683,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,50,United-States,>50K -34,Private,342709,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,53838,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -45,Local-gov,209482,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -44,Private,214242,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -47,?,34458,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -35,Private,100375,Some-college,10,Married-spouse-absent,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,149949,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,189762,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,56,United-States,<=50K -46,Private,79874,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,53,United-States,>50K -66,Self-emp-not-inc,104576,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,8,United-States,>50K -34,State-gov,355700,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -26,Private,213625,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,204984,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -30,Private,144593,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,?,<=50K -23,Private,217169,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,184883,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -44,?,136419,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,57758,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,68,United-States,>50K -54,Self-emp-not-inc,30908,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -71,Private,217971,9th,5,Widowed,Sales,Unmarried,White,Female,0,0,13,United-States,<=50K -51,Private,160703,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -32,Private,142675,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -75,?,248833,HS-grad,9,Married-AF-spouse,?,Wife,White,Female,2653,0,14,United-States,<=50K -57,Private,171242,11th,7,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Canada,<=50K -34,Private,376979,9th,5,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,175935,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,14084,0,40,United-States,>50K -21,Private,277530,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -50,Private,104501,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -32,Private,94041,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,Ireland,<=50K -37,Local-gov,593246,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -19,Private,121074,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,99,United-States,<=50K -64,Private,192596,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -17,Private,142457,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K -37,Private,136028,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,216145,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,4650,0,45,United-States,<=50K -20,Private,157894,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K -39,Self-emp-not-inc,164593,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,4787,0,40,United-States,>50K -18,Private,252993,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,Columbia,<=50K -42,Private,145711,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K -43,Private,358199,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,3103,0,40,United-States,>50K -42,Private,219591,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,>50K -53,Local-gov,205005,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,60,United-States,>50K -52,Private,221936,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,120914,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -77,Self-emp-inc,155761,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,8,United-States,<=50K -25,Private,195914,Some-college,10,Never-married,Sales,Own-child,Black,Female,3418,0,30,United-States,<=50K -38,Local-gov,236687,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,318036,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,53306,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -27,Private,174645,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,321817,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -41,Private,206948,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -47,Federal-gov,402975,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K -72,?,289930,Bachelors,13,Separated,?,Not-in-family,White,Female,991,0,7,United-States,<=50K -42,Private,367049,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,4650,0,40,United-States,<=50K -36,Private,143486,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -42,Self-emp-inc,27187,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -24,Private,187717,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,378104,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,113870,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -42,Private,252518,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -24,Private,326334,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -41,Private,279914,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -29,Private,320451,HS-grad,9,Never-married,Protective-serv,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -36,Private,207853,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -78,Self-emp-inc,237294,HS-grad,9,Widowed,Sales,Not-in-family,White,Male,0,0,45,United-States,>50K -43,Private,112181,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,1902,32,United-States,>50K -34,State-gov,259705,Some-college,10,Separated,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -20,?,117789,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,449432,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Federal-gov,89083,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,59612,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K -21,Private,129980,9th,5,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,108233,Assoc-acdm,12,Separated,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -30,Private,342709,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,126675,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,141118,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,?,273701,Some-college,10,Never-married,?,Other-relative,Black,Male,34095,0,10,United-States,<=50K -46,Private,173243,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Local-gov,161092,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,209691,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,42,United-States,>50K -36,Private,89508,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -30,Private,399522,11th,7,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -60,State-gov,136939,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -56,Local-gov,264436,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Private,199572,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -61,Federal-gov,28291,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -50,Private,215990,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -56,Self-emp-not-inc,179594,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K -61,Self-emp-inc,139391,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1902,35,United-States,>50K -45,Private,187370,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,7430,0,70,United-States,>50K -31,Private,473133,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,40,United-States,>50K -60,Self-emp-not-inc,205246,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Male,0,2559,50,United-States,>50K -26,Private,182308,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -56,Self-emp-not-inc,51662,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -45,Private,289468,11th,7,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,201954,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,>50K -45,Self-emp-not-inc,26781,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -58,Private,100960,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,203761,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,2354,0,40,United-States,<=50K -23,Private,213811,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -49,Private,124672,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -19,Private,219300,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -22,Private,270436,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,212619,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,193586,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,3908,0,40,United-States,<=50K -40,Private,84136,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K -55,Federal-gov,264834,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,State-gov,98995,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,278254,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -28,Private,167987,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -43,Federal-gov,72887,Bachelors,13,Married-spouse-absent,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -17,Private,176467,9th,5,Never-married,Transport-moving,Not-in-family,White,Male,0,0,20,United-States,<=50K -51,Self-emp-not-inc,85902,10th,6,Widowed,Transport-moving,Other-relative,White,Female,0,0,40,United-States,<=50K -37,Private,223433,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -54,Self-emp-inc,108435,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -24,Private,172496,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -35,Private,241998,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -48,Private,245948,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,2174,0,40,United-States,<=50K -23,Private,187513,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,440138,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,45,England,<=50K -24,Private,218215,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -50,Private,158948,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,3411,0,40,United-States,<=50K -34,Private,94413,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -45,Private,183598,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,192664,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,392812,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -21,Private,155818,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -32,Private,195000,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,308205,5th-6th,3,Never-married,Farming-fishing,Other-relative,White,Male,0,0,40,Mexico,<=50K -53,Private,104879,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -36,Private,152307,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,145964,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,97419,HS-grad,9,Married-civ-spouse,Protective-serv,Wife,Black,Female,0,0,40,United-States,<=50K -25,?,12285,Some-college,10,Never-married,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K -30,Private,263150,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,20,United-States,<=50K -49,?,189885,HS-grad,9,Widowed,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -23,Private,151888,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,254167,10th,6,Separated,Transport-moving,Own-child,White,Male,0,0,35,United-States,<=50K -45,Local-gov,331482,Assoc-acdm,12,Divorced,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -61,Local-gov,177189,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,<=50K -35,Private,186886,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,<=50K -20,Private,33221,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -27,Private,188171,10th,6,Never-married,Adm-clerical,Own-child,White,Male,0,0,60,United-States,<=50K -23,Private,209770,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,164488,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K -65,Local-gov,180869,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -25,Private,190350,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -49,Private,137192,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,1977,50,South,>50K -45,Private,204057,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,Germany,<=50K -46,Private,198774,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,323,45,United-States,<=50K -67,Private,134906,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K -40,Private,174515,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,259363,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -44,Self-emp-not-inc,201742,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,50,United-States,>50K -35,Private,209609,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -28,Private,185127,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,462838,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,48,United-States,<=50K -37,Private,176967,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -54,Private,284129,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -33,Federal-gov,37546,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -46,Private,116666,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,120724,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,40,United-States,<=50K -27,Private,314240,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,3325,0,40,United-States,<=50K -49,Private,423222,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -51,Private,201127,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -27,Private,202239,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,209629,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,165922,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -24,Private,133520,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -66,?,99888,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,176410,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,38,United-States,<=50K -35,Federal-gov,103214,Doctorate,16,Never-married,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,0,0,60,United-States,>50K -34,Private,122612,Bachelors,13,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,7688,0,50,Philippines,>50K -50,Private,226735,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,70,United-States,>50K -43,Self-emp-inc,151089,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,244312,9th,5,Never-married,Craft-repair,Own-child,White,Male,0,0,30,El-Salvador,<=50K -33,Private,209317,9th,5,Never-married,Other-service,Not-in-family,White,Male,0,0,45,El-Salvador,<=50K -48,Private,99096,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,1590,38,United-States,<=50K -22,Private,374116,HS-grad,9,Never-married,Priv-house-serv,Own-child,White,Female,0,0,36,United-States,<=50K -29,Private,205249,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K -42,Self-emp-not-inc,326083,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,183523,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Hungary,<=50K -36,Private,350783,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K -66,Local-gov,140849,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -44,Private,175943,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,<=50K -45,Local-gov,125933,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -49,Private,225124,HS-grad,9,Divorced,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -36,Private,272090,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,El-Salvador,<=50K -48,Private,40666,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K -19,Private,35245,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,167482,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -41,Private,204662,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -32,Private,291147,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -49,Private,179869,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -51,Self-emp-not-inc,205100,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -20,Private,352139,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,29,United-States,<=50K -39,Private,111268,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -38,Private,247111,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -19,Private,271446,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -29,Local-gov,132412,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -52,Self-emp-inc,74712,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -22,Private,94662,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K -44,Self-emp-inc,33126,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,<=50K -43,Private,133584,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Local-gov,103759,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,3942,0,40,United-States,<=50K -63,?,64448,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,374367,Assoc-voc,11,Separated,Sales,Not-in-family,Black,Male,0,0,44,United-States,<=50K -40,Private,179666,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,Canada,<=50K -18,Private,99219,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -57,Self-emp-inc,180211,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,Taiwan,>50K -54,Local-gov,219276,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -44,Private,150011,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,231231,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -40,Private,182217,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Scotland,<=50K -29,Private,277342,Some-college,10,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -22,Private,140001,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,99651,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K -45,Private,223319,Some-college,10,Divorced,Sales,Own-child,White,Male,0,0,45,United-States,<=50K -52,Private,235307,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -57,Private,206343,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,2174,0,40,Cuba,<=50K -51,Local-gov,156003,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,529223,Bachelors,13,Never-married,Sales,Own-child,Black,Male,0,0,10,United-States,<=50K -22,Private,202871,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,44,United-States,<=50K -37,Private,58337,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -58,Federal-gov,298643,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -61,Private,191188,10th,6,Widowed,Farming-fishing,Unmarried,White,Male,0,0,20,United-States,<=50K -30,Private,96287,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -23,Private,104443,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,323054,10th,6,Divorced,Other-service,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -18,Private,95917,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,Canada,<=50K -34,Private,238305,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,1628,12,?,<=50K -23,Private,49296,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K -23,Private,50953,Some-college,10,Never-married,Priv-house-serv,Own-child,White,Female,0,0,10,United-States,<=50K -57,Private,124507,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -58,Private,239523,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -59,Self-emp-not-inc,309124,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -27,Private,240172,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,105010,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,>50K -44,Local-gov,135056,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,16,?,<=50K -25,Private,178478,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -33,Private,23871,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -22,Private,362309,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -21,Private,257781,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,1719,30,United-States,<=50K -44,Private,175669,11th,7,Married-civ-spouse,Prof-specialty,Wife,White,Female,5178,0,36,United-States,>50K -50,Private,297906,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K -44,Private,230684,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -53,?,123011,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -41,Private,170866,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -54,Local-gov,182543,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K -60,Self-emp-not-inc,236470,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,33725,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -27,Private,188941,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,3908,0,40,United-States,<=50K -43,Private,206878,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,60,United-States,<=50K -33,Local-gov,173806,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,190709,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -41,Private,149102,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,Poland,<=50K -21,Private,25265,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,100669,Some-college,10,Married-civ-spouse,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -27,Self-emp-inc,114158,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -50,Private,228057,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,54012,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -46,Federal-gov,219967,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -49,Private,239865,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -35,State-gov,119421,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,United-States,>50K -56,Self-emp-not-inc,220187,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,>50K -41,Local-gov,33068,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,1974,40,United-States,<=50K -41,Self-emp-not-inc,277783,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,2001,50,United-States,<=50K -42,Private,175515,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -58,Local-gov,271795,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,70055,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,352806,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,Mexico,<=50K -57,Private,266189,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,42,United-States,<=50K -49,Private,102945,7th-8th,4,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,173851,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,144092,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,198681,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K -33,Private,351810,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Mexico,<=50K -52,Private,180142,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K -37,Self-emp-inc,175360,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -30,Self-emp-inc,224498,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Self-emp-inc,154641,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,60,United-States,<=50K -54,Local-gov,152540,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,42,United-States,<=50K -52,Private,217663,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -22,Local-gov,138575,HS-grad,9,Never-married,Protective-serv,Unmarried,White,Male,0,0,56,United-States,<=50K -19,?,32477,Some-college,10,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -65,Private,101104,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,9386,0,10,United-States,>50K -32,Private,44677,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,456618,7th-8th,4,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,El-Salvador,<=50K -34,Private,227282,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,27624,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,55,United-States,<=50K -24,Private,281403,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,98,United-States,<=50K -63,Federal-gov,39181,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Female,0,2559,60,United-States,>50K -48,Private,377140,5th-6th,3,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,35,Nicaragua,<=50K -26,Private,299810,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -28,Private,181916,Some-college,10,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,237044,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,12,United-States,<=50K -57,Self-emp-inc,123053,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,15024,0,50,India,>50K -64,State-gov,269512,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,44767,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,50,United-States,>50K -28,Private,67218,7th-8th,4,Married-civ-spouse,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -34,Private,176992,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,43712,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,45,United-States,>50K -44,Private,379919,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -34,Private,104509,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,1639,0,20,United-States,<=50K -18,Private,212370,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K -36,Private,179666,12th,8,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,<=50K -73,Self-emp-not-inc,233882,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,2457,40,Vietnam,<=50K -24,Private,197387,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,Mexico,<=50K -29,Local-gov,220656,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -33,Private,181091,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -57,Federal-gov,135028,HS-grad,9,Separated,Adm-clerical,Other-relative,Black,Female,0,0,35,United-States,<=50K -41,Private,185057,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,?,<=50K -55,Private,106498,10th,6,Widowed,Transport-moving,Not-in-family,Black,Female,0,0,35,United-States,<=50K -21,Private,203003,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,223789,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -26,Private,184026,Some-college,10,Never-married,Prof-specialty,Not-in-family,Other,Male,0,0,50,United-States,<=50K -32,?,335427,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,>50K -40,Private,65866,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,213,40,United-States,<=50K -32,Private,372692,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,45607,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -59,State-gov,303176,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2179,40,United-States,<=50K -29,Private,138190,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,1138,40,United-States,<=50K -29,Self-emp-not-inc,212895,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,48,United-States,<=50K -59,Self-emp-inc,31359,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,80,United-States,>50K -58,Private,147989,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -47,Private,145290,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -44,Private,262684,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,1504,45,United-States,<=50K -31,Private,132601,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,30759,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -19,Private,319889,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -66,Private,29431,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,111483,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -22,Private,184756,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -31,Private,651396,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,1594,30,United-States,<=50K -30,Private,187560,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,84848,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,16,United-States,<=50K -75,?,36243,Doctorate,16,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,State-gov,88913,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,36,United-States,<=50K -19,Private,73190,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -60,Private,132529,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,214542,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,217006,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,169785,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -30,Private,75573,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,Germany,<=50K -37,Private,239171,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -55,Self-emp-not-inc,53566,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K -20,Private,117109,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,24,United-States,<=50K -32,Private,398019,7th-8th,4,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,15,Mexico,<=50K -18,Private,114008,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -24,Private,204653,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -33,Local-gov,254935,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,<=50K -76,?,84755,Some-college,10,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K -57,Local-gov,198145,Masters,14,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,14,United-States,>50K -53,Private,174020,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,1876,38,United-States,<=50K -19,Private,451951,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Local-gov,172175,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -27,Private,209472,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -40,Private,336707,Assoc-voc,11,Separated,Craft-repair,Not-in-family,White,Female,0,0,60,United-States,<=50K -26,?,431861,10th,6,Separated,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Self-emp-inc,156728,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -39,Federal-gov,290321,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -49,State-gov,206577,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,149324,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,7,United-States,<=50K -33,?,49593,Some-college,10,Married-civ-spouse,?,Wife,Black,Female,0,0,30,United-States,<=50K -50,Private,98975,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -28,Private,181659,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,50,United-States,<=50K -30,Private,174789,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,102308,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K -39,Private,184801,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -37,Private,176014,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -50,Private,256861,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,<=50K -37,Private,239397,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -26,Private,233777,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -55,Private,236520,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -46,Private,70754,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -32,Private,245378,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -26,Private,176729,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,>50K -32,Private,154120,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,40,United-States,>50K -43,Private,88913,Some-college,10,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Female,1055,0,40,United-States,<=50K -19,Private,517036,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,El-Salvador,<=50K -38,Private,436361,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,75,United-States,<=50K -38,Private,231037,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Mexico,<=50K -65,Private,209831,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -70,Self-emp-not-inc,143833,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2246,40,United-States,>50K -48,?,167381,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,25,United-States,<=50K -44,Private,215468,Bachelors,13,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,7,United-States,<=50K -32,Private,200700,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -30,Local-gov,191777,HS-grad,9,Never-married,Protective-serv,Own-child,Black,Female,0,0,40,United-States,<=50K -49,Federal-gov,195437,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,>50K -23,Private,149396,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -25,Private,104746,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,16,United-States,<=50K -19,Private,108147,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -27,Private,238859,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,State-gov,23157,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -38,Private,497788,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -42,Private,141558,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -33,Federal-gov,117963,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,38,United-States,<=50K -30,Private,232356,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -29,Private,157941,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,103642,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,169727,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,274731,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -30,Private,161572,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,45,United-States,<=50K -38,Private,48779,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -48,Private,141511,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -57,Private,314153,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,55,United-States,>50K -30,Private,168334,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K -42,Local-gov,267252,Masters,14,Separated,Exec-managerial,Unmarried,Black,Male,0,0,45,United-States,>50K -31,Self-emp-not-inc,312055,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -32,Private,207937,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,232653,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -63,Private,246841,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,154087,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,199011,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K -51,Self-emp-not-inc,205100,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,>50K -36,Private,177907,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,2176,0,20,?,<=50K -24,Private,50400,Some-college,10,Married-civ-spouse,Sales,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -41,Local-gov,97064,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,44,United-States,<=50K -21,Private,65038,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,292472,Some-college,10,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,1876,45,Cambodia,<=50K -17,Private,225211,9th,5,Never-married,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K -45,Private,320192,1st-4th,2,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -39,State-gov,119421,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,625,35,United-States,<=50K -21,Private,83580,Some-college,10,Never-married,Prof-specialty,Own-child,Amer-Indian-Eskimo,Female,0,0,4,United-States,<=50K -29,Private,133696,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,8614,0,45,United-States,>50K -39,Private,141584,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,2444,45,United-States,>50K -42,Private,529216,HS-grad,9,Separated,Transport-moving,Other-relative,Black,Male,0,0,40,United-States,<=50K -22,Private,390817,5th-6th,3,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K -21,?,85733,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -59,Private,155976,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,221172,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -45,Private,270842,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,82622,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -58,Private,371064,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -45,Private,54744,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,40,United-States,>50K -29,Private,22641,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,45,United-States,<=50K -21,Private,218957,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K -51,Private,441637,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -34,Local-gov,143699,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -40,Private,183096,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -45,Private,97176,11th,7,Divorced,Adm-clerical,Unmarried,White,Female,0,0,16,United-States,<=50K -38,Self-emp-not-inc,122493,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K -22,Private,311376,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -37,Private,78928,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,3137,0,40,United-States,<=50K -62,Private,123582,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Federal-gov,174215,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -36,Private,183902,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,4,United-States,>50K -43,Private,247880,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,256636,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -33,?,152875,Bachelors,13,Married-civ-spouse,?,Wife,Asian-Pac-Islander,Female,0,0,40,China,<=50K -28,Private,22422,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,55,United-States,<=50K -49,?,178215,Some-college,10,Widowed,?,Unmarried,White,Female,0,0,28,United-States,<=50K -47,Local-gov,194360,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,7,United-States,>50K -59,Private,247187,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,63921,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,224889,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -29,Self-emp-not-inc,178564,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,<=50K -57,Private,47619,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -41,Private,92775,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -37,Private,50837,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -20,Local-gov,235894,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,244974,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -20,Local-gov,526734,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -38,Self-emp-not-inc,243484,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,28,United-States,>50K -23,Private,201664,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K -24,Private,234640,HS-grad,9,Married-spouse-absent,Sales,Own-child,White,Female,0,0,36,United-States,<=50K -46,Private,268022,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -32,Local-gov,223267,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -21,Self-emp-not-inc,99199,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,137076,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,115411,Some-college,10,Divorced,Sales,Own-child,White,Male,2174,0,45,United-States,<=50K -51,Private,313146,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -69,Self-emp-not-inc,29980,7th-8th,4,Never-married,Farming-fishing,Other-relative,White,Male,1848,0,10,United-States,<=50K -39,Self-emp-inc,543042,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,50,United-States,>50K -43,Private,271807,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Federal-gov,97934,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,5178,0,40,United-States,>50K -43,Private,191196,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,264627,11th,7,Divorced,Exec-managerial,Unmarried,White,Female,0,0,84,United-States,<=50K -32,Private,183801,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,209227,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,21,United-States,<=50K -64,Private,216208,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,377095,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -44,Private,317535,1st-4th,2,Married-civ-spouse,Protective-serv,Other-relative,White,Male,0,0,40,Mexico,<=50K -40,Private,247880,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -21,Private,152246,Some-college,10,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -23,Private,428299,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,161708,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -19,Private,167859,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -61,Private,85194,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,25,United-States,<=50K -47,Self-emp-inc,119471,7th-8th,4,Never-married,Craft-repair,Not-in-family,Other,Male,0,0,40,?,<=50K -39,Private,117683,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -51,Private,139347,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,40,United-States,>50K -25,Private,427744,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,122116,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -34,State-gov,227931,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -54,Self-emp-not-inc,226497,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,83783,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -28,Private,197113,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Other,Male,0,0,50,Puerto-Rico,<=50K -33,Private,204742,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K -63,?,331527,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,14,United-States,<=50K -31,Private,213179,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -70,Self-emp-inc,188260,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,16,United-States,<=50K -43,Private,298161,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Nicaragua,<=50K -36,Private,143774,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,12,United-States,>50K -50,Local-gov,139296,11th,7,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -21,Private,152389,Some-college,10,Never-married,Other-service,Not-in-family,Black,Female,0,0,30,United-States,<=50K -31,Private,309974,Some-college,10,Separated,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -19,?,37085,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -39,Private,270059,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -29,Private,130045,7th-8th,4,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -39,Private,188038,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,Private,168203,7th-8th,4,Never-married,Farming-fishing,Other-relative,Other,Male,0,0,40,Mexico,<=50K -46,Private,171807,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -62,Private,186696,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,177531,10th,6,Divorced,Other-service,Unmarried,Black,Female,0,0,23,United-States,<=50K -28,Private,115464,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -19,Private,501144,Some-college,10,Never-married,Sales,Other-relative,Black,Female,0,0,40,United-States,<=50K -61,Local-gov,180079,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,4064,0,40,United-States,<=50K -18,Private,205894,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,?,<=50K -39,Self-emp-not-inc,218490,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,50,?,>50K -24,Local-gov,203924,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,<=50K -38,Private,91857,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,United-States,<=50K -38,Private,229700,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -17,Private,158704,10th,6,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -28,Private,190911,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,139176,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,8,United-States,<=50K -61,Private,119684,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,20,United-States,>50K -69,Private,124930,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2267,40,United-States,<=50K -19,Private,168693,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -26,Private,250038,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -34,Self-emp-inc,353927,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -70,Private,216390,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,2653,0,40,United-States,<=50K -21,Private,230248,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -43,Private,117728,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -52,Private,115851,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,193335,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -21,Private,203894,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -53,Self-emp-not-inc,100109,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K -55,State-gov,157639,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -46,Self-emp-inc,235320,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K -36,Private,127686,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,37,United-States,<=50K -39,Private,28572,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,48,United-States,<=50K -78,?,91534,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,3,United-States,<=50K -30,Private,184687,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K -22,Private,267945,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K -43,Private,131899,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Private,192614,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,56,United-States,<=50K -36,Private,186808,Bachelors,13,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,0,40,United-States,>50K -50,Private,44116,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Federal-gov,46442,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,0,0,35,United-States,<=50K -46,Federal-gov,78022,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -24,Private,417668,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -41,Private,223763,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -68,Private,223851,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,24,United-States,<=50K -38,Local-gov,115634,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,114459,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -41,Private,197093,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,20,United-States,<=50K -31,Self-emp-not-inc,357145,Doctorate,16,Never-married,Prof-specialty,Own-child,White,Female,0,0,48,United-States,<=50K -29,Private,59231,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K -26,Private,292303,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -51,Private,122288,Some-college,10,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,36,United-States,<=50K -26,Federal-gov,52322,Bachelors,13,Never-married,Tech-support,Not-in-family,Other,Male,0,0,60,United-States,<=50K -27,Local-gov,105830,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -36,Private,107125,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -28,Federal-gov,281860,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Private,283320,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,State-gov,26598,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,220783,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -21,?,121694,7th-8th,4,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -53,Private,208302,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,34,United-States,<=50K -34,Local-gov,172664,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,54611,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -64,Private,631947,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,394484,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -25,?,239120,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,13,United-States,<=50K -38,Federal-gov,37683,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,99999,0,57,Canada,>50K -47,Local-gov,193012,Masters,14,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,50,United-States,>50K -48,Private,143098,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1902,40,China,>50K -57,Private,84888,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,188503,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -37,Private,337778,11th,7,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,94432,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,>50K -32,Private,168906,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,116143,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,128272,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,14,United-States,<=50K -64,Federal-gov,301383,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,9386,0,45,United-States,>50K -46,Private,174995,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -24,State-gov,289909,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,154641,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -23,Private,209034,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,3942,0,40,United-States,<=50K -30,Private,203488,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K -34,Private,141118,Masters,14,Divorced,Prof-specialty,Own-child,White,Female,0,0,60,United-States,>50K -30,Private,169589,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,137645,Bachelors,13,Never-married,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K -58,Local-gov,489085,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K -32,Private,36302,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,253420,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K -35,Private,269300,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -18,Private,282609,5th-6th,3,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,30,Honduras,<=50K -46,Private,346978,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -71,Private,182395,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,11678,0,45,United-States,>50K -44,Private,205051,10th,6,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,128736,10th,6,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,236110,12th,8,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Cuba,>50K -38,Private,312271,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -52,Private,126978,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,40,China,<=50K -47,Private,204692,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,195956,Bachelors,13,Divorced,Tech-support,Unmarried,White,Female,0,0,35,United-States,<=50K -59,State-gov,202682,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,231912,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,37,United-States,<=50K -44,Local-gov,24982,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -76,Private,278938,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -50,Local-gov,36489,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Local-gov,154874,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,74581,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -27,Private,311446,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,5178,0,40,United-States,>50K -37,Self-emp-inc,162164,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,239708,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -49,Self-emp-not-inc,162856,Some-college,10,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -48,Self-emp-inc,85109,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -49,Private,169042,HS-grad,9,Separated,Prof-specialty,Unmarried,White,Female,0,625,40,Puerto-Rico,<=50K -22,Private,436798,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,345363,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,England,<=50K -36,Private,49837,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,?,296516,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K -30,State-gov,180283,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -40,Local-gov,95639,HS-grad,9,Never-married,Craft-repair,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -42,Private,33155,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -56,Private,329059,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Italy,>50K -55,Private,24694,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,443855,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -52,?,294691,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,301867,Some-college,10,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,35,United-States,<=50K -55,Private,226875,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K -47,Private,362835,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -23,Private,180339,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,65,United-States,<=50K -55,Self-emp-inc,207489,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,50,Germany,<=50K -43,Private,336643,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -31,Private,143653,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -62,State-gov,101475,Assoc-acdm,12,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Local-gov,263871,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,8,United-States,<=50K -38,Self-emp-not-inc,77820,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -29,Private,95465,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,42,United-States,<=50K -26,Private,257910,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K -26,Private,244372,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,52,United-States,>50K -37,Self-emp-not-inc,126738,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K -79,Self-emp-inc,97082,12th,8,Widowed,Sales,Not-in-family,White,Male,18481,0,45,United-States,>50K -61,Private,133164,7th-8th,4,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K -28,Self-emp-not-inc,104617,7th-8th,4,Never-married,Other-service,Other-relative,White,Female,0,0,99,Mexico,<=50K -60,Self-emp-inc,105339,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,United-States,>50K -51,Self-emp-inc,258735,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,81,United-States,<=50K -34,Private,182926,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,>50K -35,Private,166193,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -27,Local-gov,206125,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -44,Private,346594,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,108301,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -32,Private,73498,7th-8th,4,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,129150,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,>50K -27,Private,181280,Masters,14,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,30,United-States,<=50K -40,Private,146908,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -43,Private,183765,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,?,>50K -25,Private,164488,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,307468,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,93884,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -26,Private,279833,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,2258,45,United-States,>50K -52,Private,137658,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Dominican-Republic,<=50K -32,Private,101562,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -33,Private,136331,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,259846,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -48,Private,98719,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,44,United-States,<=50K -62,Self-emp-not-inc,168682,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,5,United-States,<=50K -40,Self-emp-not-inc,198953,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,Black,Female,0,0,2,United-States,<=50K -41,?,29115,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -28,Private,173673,5th-6th,3,Never-married,Other-service,Not-in-family,White,Female,0,0,40,Mexico,<=50K -23,Private,67958,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -50,Federal-gov,98980,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -51,State-gov,94174,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -63,Self-emp-not-inc,122442,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,48,United-States,<=50K -63,Federal-gov,154675,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,116632,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K -20,?,238685,11th,7,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,?,139391,Some-college,10,Married-civ-spouse,?,Husband,White,Male,99999,0,30,United-States,>50K -40,Private,169031,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,237452,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,15,Cuba,>50K -41,Private,216968,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,?,<=50K -27,?,216479,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,24,United-States,>50K -20,State-gov,126822,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K -28,Private,51461,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1887,40,United-States,>50K -35,Private,54953,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,222654,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,37676,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -57,Private,159319,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -28,Private,125321,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,209609,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -37,Private,224947,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,State-gov,438427,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -26,Self-emp-not-inc,384276,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,196805,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,65,United-States,<=50K -27,Private,242097,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,184306,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -45,Private,161954,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,Germany,<=50K -65,Private,258561,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -57,Self-emp-not-inc,95280,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,99999,0,45,United-States,>50K -59,Private,212783,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -18,Private,205004,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,26,United-States,<=50K -44,Local-gov,387844,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,83880,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,161155,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -43,Local-gov,265698,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -59,Self-emp-inc,146477,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -19,Private,97261,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,State-gov,437890,HS-grad,9,Never-married,Exec-managerial,Unmarried,Black,Male,0,0,90,United-States,<=50K -68,Self-emp-not-inc,133736,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,20051,0,40,United-States,>50K -63,Private,169983,11th,7,Widowed,Sales,Not-in-family,White,Female,2176,0,30,United-States,<=50K -37,Private,126675,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,57,United-States,<=50K -46,Local-gov,175754,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,1876,60,United-States,<=50K -31,Private,121768,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,Poland,<=50K -23,Private,180052,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,124454,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -49,Private,190115,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1672,44,United-States,<=50K -36,Private,222584,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -38,Private,22245,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -46,Local-gov,114160,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,45,United-States,>50K -24,Private,228960,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,132572,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -47,Private,103020,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,Other,Female,0,0,40,Puerto-Rico,<=50K -40,Private,187802,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1887,40,United-States,>50K -31,Local-gov,50649,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -42,Private,137698,5th-6th,3,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,35,Mexico,<=50K -48,Self-emp-inc,30575,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,>50K -56,Private,202220,Some-college,10,Separated,Tech-support,Unmarried,Black,Female,0,0,38,United-States,<=50K -50,Private,50178,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -17,Private,207791,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -21,Private,540712,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,1719,25,United-States,<=50K -50,Private,321770,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,202053,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K -34,Private,143699,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,15,United-States,<=50K -32,Self-emp-not-inc,115066,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -28,Private,223751,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -62,Self-emp-inc,354075,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -23,Private,32732,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,15,United-States,<=50K -24,State-gov,390867,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -31,Private,101697,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -36,Private,279721,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,223400,Assoc-acdm,12,Married-civ-spouse,Priv-house-serv,Other-relative,White,Female,0,0,35,Poland,<=50K -46,?,206357,5th-6th,3,Married-civ-spouse,?,Wife,White,Female,0,0,40,Mexico,<=50K -39,Private,76417,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -48,?,184682,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,18,United-States,<=50K -21,Private,78170,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,<=50K -39,Private,201410,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,189013,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -33,Private,119913,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -37,Private,549174,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -29,Local-gov,214706,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -30,?,33811,Bachelors,13,Married-civ-spouse,?,Wife,Other,Female,0,0,40,Taiwan,>50K -43,Private,234220,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,Cuba,<=50K -22,Private,237720,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,185942,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,>50K -69,Local-gov,286983,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,140027,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -18,?,115258,11th,7,Never-married,?,Own-child,White,Male,0,0,12,United-States,<=50K -54,Private,155408,HS-grad,9,Widowed,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -65,?,117963,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,<=50K -28,Private,158737,12th,8,Married-civ-spouse,Machine-op-inspct,Other-relative,Other,Male,0,0,40,Ecuador,<=50K -27,Local-gov,199471,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,0,0,38,United-States,<=50K -35,Private,287701,Assoc-acdm,12,Divorced,Craft-repair,Unmarried,White,Male,0,0,45,United-States,>50K -38,Private,137707,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -33,State-gov,108116,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,366900,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -56,Self-emp-inc,187355,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,60,Canada,>50K -38,Private,33105,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,70,United-States,>50K -51,Self-emp-not-inc,268639,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,2057,60,Canada,<=50K -26,Private,358975,Some-college,10,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,50,Hungary,<=50K -33,Private,199227,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -44,Private,248249,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,460437,9th,5,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,187294,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -44,Private,115932,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,181762,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,55,United-States,>50K -21,Private,27049,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -41,Private,806552,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -41,Private,150755,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,Canada,>50K -62,Private,69867,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K -27,Private,160786,11th,7,Separated,Craft-repair,Not-in-family,White,Male,0,0,45,Germany,<=50K -38,Private,219546,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -60,Private,24872,Some-college,10,Separated,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Female,0,0,30,United-States,<=50K -24,Private,110371,12th,8,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,Mexico,<=50K -24,?,376474,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,304602,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -32,?,143699,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,238917,1st-4th,2,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,24,Mexico,<=50K -51,Private,200618,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,183043,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,48,United-States,>50K -42,Local-gov,209752,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -48,?,175653,Assoc-acdm,12,Divorced,?,Not-in-family,White,Female,14084,0,40,United-States,>50K -49,Private,196707,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,43,United-States,>50K -37,Local-gov,98725,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,42,United-States,<=50K -37,Self-emp-not-inc,180150,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -66,Private,151227,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -18,?,118847,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,24,United-States,<=50K -46,Private,282538,Assoc-voc,11,Separated,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -52,Private,89534,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -23,Private,291011,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -67,Private,166187,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Male,0,0,38,United-States,>50K -19,Private,188669,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -37,Private,178948,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -42,Self-emp-inc,188738,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,Italy,>50K -39,Self-emp-not-inc,160808,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -54,Private,93605,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1848,40,United-States,>50K -46,Private,318331,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -47,?,109921,HS-grad,9,Separated,?,Unmarried,Black,Female,0,0,32,United-States,<=50K -33,Private,87605,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -69,Self-emp-not-inc,89477,Some-college,10,Widowed,Farming-fishing,Not-in-family,White,Female,0,0,14,United-States,<=50K -21,Private,48301,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,220748,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,48,United-States,<=50K -39,Private,387068,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -23,Private,250743,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -26,Private,78258,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,36,United-States,<=50K -42,Private,31387,Doctorate,16,Married-spouse-absent,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -36,Private,289190,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -24,Private,604537,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,Mexico,<=50K -35,Private,328466,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -42,Private,403187,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -37,Private,219546,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,44,United-States,>50K -41,Private,220531,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -27,Private,204648,Assoc-voc,11,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -42,Self-emp-not-inc,201908,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -44,?,109912,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,16,United-States,>50K -18,Private,365683,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K -41,Private,175674,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -31,Private,203488,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,106406,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -67,Private,172756,1st-4th,2,Widowed,Machine-op-inspct,Not-in-family,White,Female,2062,0,34,Ecuador,<=50K -37,Private,125167,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -51,Private,249339,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,94652,Some-college,10,Never-married,Craft-repair,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -40,Private,195394,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -25,Private,130302,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -38,Private,66686,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -43,Private,336042,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,193586,Some-college,10,Separated,Farming-fishing,Other-relative,White,Female,0,0,40,United-States,<=50K -44,Private,325461,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -60,Local-gov,313852,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K -38,Local-gov,30509,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1669,55,United-States,<=50K -21,Local-gov,32639,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -18,Private,234953,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -49,Private,120629,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Black,Female,27828,0,60,United-States,>50K -43,Private,350379,5th-6th,3,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,40,Mexico,<=50K -26,?,176967,11th,7,Never-married,?,Not-in-family,White,Female,0,0,65,United-States,<=50K -36,Private,36423,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,25,United-States,>50K -31,Private,123397,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,5178,0,35,United-States,>50K -38,Private,130813,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K -43,Self-emp-not-inc,35236,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K -58,Private,33350,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -55,Private,177380,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,29,United-States,<=50K -39,Private,216129,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,35,Jamaica,<=50K -38,Private,335104,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -54,Self-emp-not-inc,199741,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,2001,35,United-States,<=50K -57,Self-emp-inc,165881,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -35,Local-gov,387777,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,<=50K -44,Self-emp-not-inc,149943,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,60,Taiwan,>50K -36,Private,188834,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,290661,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,155603,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,2205,40,United-States,<=50K -25,Private,114838,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,8,Italy,<=50K -54,Local-gov,168553,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,103064,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,123833,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -60,Federal-gov,55621,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -66,Local-gov,189834,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -36,Private,217926,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,50,United-States,<=50K -29,Self-emp-not-inc,341672,HS-grad,9,Married-spouse-absent,Transport-moving,Other-relative,Asian-Pac-Islander,Male,0,1564,50,India,>50K -29,Private,163003,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,2202,0,40,Taiwan,<=50K -25,Private,194352,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,44,United-States,<=50K -62,?,54878,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -23,Private,393248,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,279315,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -33,Private,392812,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,>50K -49,Self-emp-inc,34998,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -57,Self-emp-inc,51016,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -57,Local-gov,132717,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -46,Private,186078,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,45,United-States,<=50K -37,Self-emp-inc,196123,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -43,Self-emp-inc,304906,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -26,Private,41521,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -40,Private,346847,Assoc-voc,11,Separated,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K -39,Self-emp-not-inc,107233,HS-grad,9,Never-married,Craft-repair,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -39,Private,150125,Assoc-acdm,12,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Private,400535,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,409622,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,36,Mexico,<=50K -27,Private,136448,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,202950,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Iran,<=50K -40,Local-gov,197012,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,8614,0,40,England,>50K -57,Private,237691,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -24,Private,170277,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -30,Private,160784,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -28,Private,33798,12th,8,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -22,Private,197838,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,223212,7th-8th,4,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K -33,Private,125762,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,>50K -20,Private,283969,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,15,United-States,<=50K -25,Private,374163,12th,8,Married-civ-spouse,Farming-fishing,Husband,Other,Male,0,0,60,Mexico,<=50K -49,State-gov,118567,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,147655,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -45,Private,82797,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -36,Local-gov,142573,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -41,Private,235167,5th-6th,3,Married-spouse-absent,Priv-house-serv,Not-in-family,White,Female,0,0,32,Mexico,<=50K -23,Private,53245,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1602,12,United-States,<=50K -47,Private,28035,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -41,Private,247082,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -30,Private,123397,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Local-gov,133327,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,102270,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -64,?,45817,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K -55,Private,240988,9th,5,Married-civ-spouse,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -19,Private,386378,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -31,State-gov,350651,12th,8,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -18,State-gov,76142,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,8,United-States,<=50K -68,Private,73773,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,24,United-States,<=50K -50,?,281504,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -36,Local-gov,293358,Some-college,10,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,48,United-States,<=50K -44,Private,146906,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -58,Self-emp-not-inc,331474,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K -20,Private,213719,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -18,Private,101795,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,228265,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,30,United-States,<=50K -49,Self-emp-not-inc,130206,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,324254,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,223019,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,189666,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K -35,Private,139086,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,359327,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,?,<=50K -44,Self-emp-not-inc,75065,12th,8,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,Vietnam,<=50K -55,Private,139843,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -21,Private,34310,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2603,40,United-States,<=50K -54,Private,346014,Some-college,10,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,<=50K -39,Local-gov,163278,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,2202,0,44,United-States,<=50K -52,Private,31460,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,38,United-States,<=50K -57,Self-emp-inc,33725,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -67,?,63552,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -58,State-gov,300623,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Local-gov,177072,Some-college,10,Never-married,Prof-specialty,Other-relative,White,Male,0,0,16,United-States,<=50K -66,?,37331,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -41,Private,167725,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,131180,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,16,United-States,<=50K -58,Private,275859,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Male,8614,0,52,Mexico,>50K -50,Private,275181,5th-6th,3,Divorced,Other-service,Not-in-family,White,Male,0,0,37,Cuba,<=50K -31,Private,398988,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,222654,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,111129,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -26,Self-emp-not-inc,137795,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -33,Local-gov,242150,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -35,State-gov,237873,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -44,Private,367749,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Mexico,<=50K -26,Private,206600,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,Mexico,<=50K -48,Federal-gov,247043,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,187702,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -62,Private,41718,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -37,Private,151835,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -18,Private,118938,11th,7,Never-married,Sales,Own-child,White,Male,0,0,18,United-States,<=50K -48,Private,224870,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,Other,Female,0,0,38,Ecuador,<=50K -45,Private,178341,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,61343,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -35,Private,36989,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,226296,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,51,United-States,<=50K -29,Private,186624,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Cuba,<=50K -19,Private,172582,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -53,State-gov,227392,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K -49,Private,187563,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -71,Private,137499,HS-grad,9,Widowed,Sales,Other-relative,White,Female,0,0,16,United-States,<=50K -38,Private,239397,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,Mexico,<=50K -39,Local-gov,327164,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -23,Private,140798,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Self-emp-inc,187450,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -52,Private,194580,5th-6th,3,Divorced,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K -41,Private,372682,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -20,Private,235442,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -30,Private,128065,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K -56,Private,91545,10th,6,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,36,United-States,<=50K -26,Private,154604,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Federal-gov,192150,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Local-gov,216522,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,42,United-States,<=50K -58,Private,156040,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,1848,40,United-States,>50K -24,Private,206861,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,97632,Some-college,10,Divorced,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,32,United-States,<=50K -27,Private,189530,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -28,State-gov,381789,Some-college,10,Separated,Exec-managerial,Own-child,White,Male,0,2339,40,United-States,<=50K -57,Self-emp-inc,368797,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -21,State-gov,41183,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K -50,Private,191062,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,132963,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -58,Private,153551,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -27,Self-emp-not-inc,66473,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,240323,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,17,United-States,<=50K -68,Local-gov,242095,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,40,United-States,>50K -33,Self-emp-inc,128016,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,29526,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,18,United-States,<=50K -26,Private,342953,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -37,Private,215476,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,30,United-States,<=50K -53,Private,231919,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -32,Private,52537,Some-college,10,Never-married,Tech-support,Not-in-family,Black,Male,0,0,38,United-States,<=50K -18,Private,27920,11th,7,Never-married,Exec-managerial,Own-child,White,Female,0,0,25,United-States,<=50K -53,Private,153052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -40,Self-emp-not-inc,199303,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,233369,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,345789,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,50,United-States,>50K -60,Private,238913,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,46,United-States,>50K -28,Self-emp-not-inc,195607,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -34,Private,245173,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,1669,45,United-States,<=50K -37,Private,138441,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,67467,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,102569,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,65,United-States,>50K -21,Private,213341,11th,7,Married-spouse-absent,Handlers-cleaners,Own-child,White,Male,0,1762,40,Dominican-Republic,<=50K -26,Private,37202,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -47,Private,140219,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -18,Private,298860,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -22,Private,51362,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,16,United-States,<=50K -36,Private,199947,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K -59,Self-emp-not-inc,32552,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K -33,Private,183845,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,38,El-Salvador,<=50K -33,Private,181091,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,35,England,<=50K -53,Self-emp-inc,135643,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,50,South,<=50K -44,State-gov,96249,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3411,0,40,United-States,<=50K -55,Private,181220,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -56,Private,133025,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -54,Self-emp-not-inc,124865,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -51,Private,45599,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,194293,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,2463,0,38,United-States,<=50K -43,Private,102180,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -44,Private,121130,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,138768,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,50,United-States,<=50K -43,State-gov,98989,HS-grad,9,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -26,State-gov,126327,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,Private,113364,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,18,United-States,<=50K -30,Private,326199,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,2580,0,40,United-States,<=50K -46,Private,376789,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,15,United-States,<=50K -27,Private,137063,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,279145,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,178815,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,8614,0,40,United-States,>50K -25,Self-emp-not-inc,245369,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -30,Federal-gov,49593,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -46,State-gov,238648,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,7298,0,40,United-States,>50K -47,Private,166181,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,48,United-States,>50K -66,Self-emp-inc,249043,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,5556,0,26,United-States,>50K -43,Private,156403,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -71,?,128529,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -36,Federal-gov,186934,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1848,55,United-States,>50K -46,?,148489,HS-grad,9,Married-spouse-absent,?,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -44,Local-gov,387770,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,15,United-States,<=50K -42,Private,115511,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -39,Private,201410,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1977,45,Philippines,>50K -36,Private,220585,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -60,Self-emp-not-inc,282066,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K -37,Private,280966,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -26,Private,291586,Bachelors,13,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K -24,Private,142227,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -17,?,104025,11th,7,Never-married,?,Own-child,White,Male,0,0,18,United-States,<=50K -45,Local-gov,148254,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -54,Private,170562,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -22,Private,222490,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -63,Local-gov,57674,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K -22,Private,233624,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K -27,Private,42734,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K -33,Private,233107,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,33,Mexico,<=50K -64,Private,143110,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -50,Private,195844,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -44,Self-emp-not-inc,115896,Assoc-voc,11,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,303851,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -44,Private,172475,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -53,Self-emp-not-inc,30008,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -33,Local-gov,147921,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Federal-gov,172716,12th,8,Married-civ-spouse,Armed-Forces,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,155057,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K -43,?,152569,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,2339,36,United-States,<=50K -80,Self-emp-not-inc,132728,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,20,United-States,<=50K -31,Private,195136,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -40,Private,377322,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -53,Local-gov,293941,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,182123,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,<=50K -38,Private,32528,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -33,Private,140206,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -48,Local-gov,378221,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Mexico,>50K -23,Private,211601,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,<=50K -31,Self-emp-not-inc,119411,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -52,Self-emp-not-inc,240013,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K -24,Private,95552,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,183710,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,189382,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -52,Private,380633,5th-6th,3,Widowed,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -54,Private,53407,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,150480,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -40,Private,175674,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -28,Private,375313,HS-grad,9,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,50,United-States,<=50K -21,?,278391,Some-college,10,Never-married,?,Own-child,White,Male,0,0,16,United-States,<=50K -23,Private,212888,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Self-emp-inc,487085,7th-8th,4,Never-married,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -22,Private,174461,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -55,Local-gov,133201,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -71,Private,77253,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,17,United-States,<=50K -47,Private,141511,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -17,Self-emp-inc,181608,10th,6,Never-married,Sales,Own-child,White,Male,0,0,12,United-States,<=50K -31,Private,127610,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -32,Private,154571,Some-college,10,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,40,?,<=50K -46,Private,33842,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,40,United-States,>50K -27,Private,150080,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -39,Federal-gov,30916,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -40,Private,151294,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,48,United-States,<=50K -30,Private,48829,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,1602,30,United-States,<=50K -17,Private,193769,9th,5,Never-married,Other-service,Unmarried,White,Male,0,0,20,United-States,<=50K -33,Private,277455,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -72,Private,225780,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -34,Federal-gov,436341,Some-college,10,Married-AF-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -65,Private,255386,HS-grad,9,Never-married,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,40,Cambodia,<=50K -36,Private,174938,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,50,United-States,>50K -32,Private,174789,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -26,Private,245628,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,Mexico,<=50K -22,Private,228752,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,354148,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,48,United-States,>50K -31,Private,192900,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,190391,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -38,Private,353263,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,Italy,>50K -34,Private,113198,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,28,United-States,<=50K -44,Private,207578,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -27,Private,93206,Some-college,10,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -50,Local-gov,163998,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,44,United-States,>50K -47,Private,111961,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,30,United-States,<=50K -20,Private,219122,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,111445,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K -29,Federal-gov,309778,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -37,Local-gov,223020,Assoc-voc,11,Never-married,Other-service,Unmarried,Black,Female,0,0,32,United-States,<=50K -42,Private,303155,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,?,41035,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -68,Private,159191,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Local-gov,244408,Some-college,10,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -72,Self-emp-not-inc,473748,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -45,Federal-gov,71823,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,20,United-States,<=50K -30,Local-gov,83066,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -33,Private,150154,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,190786,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -56,Private,178033,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Male,4416,0,60,United-States,<=50K -25,Self-emp-not-inc,159909,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,190885,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,40,Guatemala,<=50K -25,Private,243786,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K -31,State-gov,124020,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -36,Private,159016,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,<=50K -37,Private,183800,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -58,Self-emp-not-inc,193434,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -26,Private,245029,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -55,Private,98746,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,Canada,>50K -46,Federal-gov,140664,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -44,Private,344920,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,1617,20,United-States,<=50K -44,Private,169980,11th,7,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,60,United-States,<=50K -28,State-gov,155397,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K -42,Private,245317,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,74182,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,280570,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -64,Self-emp-not-inc,30664,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -20,Private,109952,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -45,Local-gov,192793,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -31,Private,243442,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -36,Federal-gov,106297,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -32,Private,328060,9th,5,Separated,Other-service,Unmarried,Other,Female,0,0,40,Mexico,<=50K -33,Self-emp-not-inc,48702,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K -51,Self-emp-not-inc,111283,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,99999,0,35,United-States,>50K -36,Private,484024,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -40,Private,208470,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,172032,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,51,United-States,>50K -40,Private,29927,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,England,<=50K -46,Private,98012,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Self-emp-not-inc,108468,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -30,Private,207301,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,1980,40,United-States,<=50K -26,Private,168403,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,66935,Bachelors,13,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,42044,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,184806,Prof-school,15,Never-married,Prof-specialty,Other-relative,White,Male,0,0,50,United-States,<=50K -39,Private,1455435,Assoc-acdm,12,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,445382,Some-college,10,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -37,Private,278576,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,>50K -79,Self-emp-not-inc,84979,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,>50K -36,Private,659504,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,45,United-States,>50K -44,Private,136986,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -23,Private,278107,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1573,30,United-States,<=50K -27,Private,96219,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -46,Self-emp-not-inc,131091,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -58,Private,205410,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,416745,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,<=50K -36,Private,180667,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,60,United-States,>50K -21,Private,72119,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -41,State-gov,108945,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Female,14344,0,40,United-States,>50K -49,Federal-gov,195949,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,101345,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -29,Private,439263,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,35,Peru,<=50K -63,Private,213095,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -29,Federal-gov,59932,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,Private,172815,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,40915,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -42,Private,139012,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K -44,Private,121781,Some-college,10,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,37,United-States,<=50K -51,?,130667,HS-grad,9,Separated,?,Not-in-family,Black,Male,0,0,6,United-States,<=50K -41,Self-emp-not-inc,147110,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,25,United-States,<=50K -22,Local-gov,237811,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Black,Female,0,0,35,Haiti,<=50K -36,?,128640,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,25,United-States,<=50K -18,Private,111476,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -33,Local-gov,289716,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -46,Local-gov,141944,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -49,Private,323773,11th,7,Married-civ-spouse,Priv-house-serv,Other-relative,White,Female,0,0,40,United-States,<=50K -41,State-gov,176663,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -52,Private,155233,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Private,143327,Some-college,10,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Federal-gov,177212,Some-college,10,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Self-emp-not-inc,123088,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -30,Local-gov,47085,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,102106,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,235894,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -71,Self-emp-not-inc,172046,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -20,Self-emp-not-inc,197207,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -26,Private,152452,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -34,Private,172928,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K -36,?,214896,9th,5,Divorced,?,Unmarried,White,Female,0,0,40,Mexico,<=50K -49,Private,116338,HS-grad,9,Separated,Prof-specialty,Unmarried,White,Female,0,653,60,United-States,<=50K -48,Private,276664,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K -22,Private,59924,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,194141,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,1617,40,United-States,<=50K -51,Private,95128,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,292504,Some-college,10,Married-spouse-absent,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Self-emp-inc,45796,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -42,Private,119359,Prof-school,15,Married-civ-spouse,Sales,Wife,Amer-Indian-Eskimo,Female,15024,0,40,South,>50K -52,State-gov,104280,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -57,Private,172291,HS-grad,9,Divorced,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K -35,Private,180988,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,39,United-States,<=50K -52,Private,110748,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -59,?,556688,9th,5,Divorced,?,Not-in-family,White,Female,0,0,12,United-States,<=50K -36,Private,22494,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,267859,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Cuba,>50K -67,Local-gov,256821,HS-grad,9,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,20,United-States,<=50K -31,Self-emp-not-inc,117346,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -31,Private,62374,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,314659,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,42,United-States,<=50K -72,?,114761,7th-8th,4,Widowed,?,Unmarried,White,Female,0,0,20,United-States,<=50K -36,Private,93225,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Self-emp-not-inc,165315,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K -56,Private,124771,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,27408,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,198841,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -44,Private,271792,Bachelors,13,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,64289,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,183390,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,240771,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,50,United-States,>50K -30,Private,234919,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,El-Salvador,<=50K -20,Private,88231,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,154422,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -37,Private,119098,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -53,State-gov,151580,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,4386,0,40,United-States,>50K -54,Private,118793,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -32,?,30499,Bachelors,13,Divorced,?,Unmarried,White,Female,0,0,32,United-States,<=50K -34,?,166545,Some-college,10,Married-civ-spouse,?,Wife,White,Female,7688,0,6,United-States,>50K -30,Private,271710,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,50,United-States,>50K -43,State-gov,308498,HS-grad,9,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -48,Private,172695,Assoc-voc,11,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -42,Self-emp-not-inc,29962,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -62,Private,200332,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,291702,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,67234,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -45,Private,168038,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,32,United-States,<=50K -34,Private,137814,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -64,Private,126233,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -42,Self-emp-not-inc,79036,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K -60,Self-emp-not-inc,327474,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K -44,Private,145160,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,58,United-States,<=50K -67,?,37092,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,4,United-States,<=50K -45,Private,129387,Assoc-acdm,12,Divorced,Tech-support,Unmarried,White,Female,0,0,40,?,<=50K -53,Self-emp-not-inc,33304,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -37,Private,359001,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,50,United-States,>50K -32,?,143162,10th,6,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -23,Private,133515,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -28,Private,168901,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K -55,Private,750972,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,United-States,<=50K -58,Private,142924,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,24,United-States,>50K -74,Self-emp-inc,228075,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,25,United-States,>50K -27,Private,91189,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,290609,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -22,?,31102,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,4,South,<=50K -44,Self-emp-not-inc,216921,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,70,United-States,<=50K -23,Private,120046,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,324629,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Yugoslavia,<=50K -45,Private,81132,Some-college,10,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,55,United-States,>50K -29,Private,160279,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -33,Private,229732,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,>50K -61,Local-gov,144723,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,United-States,>50K -29,Private,148431,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,Other,Female,7688,0,45,United-States,>50K -22,Private,160398,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,38,United-States,<=50K -28,Private,129460,9th,5,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,El-Salvador,<=50K -30,Private,252752,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -20,Private,58222,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -28,?,424884,10th,6,Separated,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -45,Private,114459,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -19,?,46400,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,24,United-States,<=50K -42,Private,223934,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,84119,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,159123,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -23,Private,195532,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -50,Private,191299,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -40,Private,198316,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -57,Private,162301,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -35,Private,143152,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,3908,0,27,United-States,<=50K -24,Private,92609,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K -27,Private,247819,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K -27,Local-gov,229223,Some-college,10,Never-married,Protective-serv,Own-child,White,Female,0,0,40,United-States,>50K -45,Self-emp-inc,142719,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -80,Private,86111,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -23,State-gov,35633,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -46,Private,164749,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Private,607848,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -50,Private,173630,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -90,Private,311184,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,?,<=50K -55,Private,49737,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -72,Private,183616,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,England,<=50K -65,Private,129426,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,454915,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,State-gov,55568,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -38,Private,29874,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,393715,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -50,Private,143953,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K -54,Private,90363,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Private,53727,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -30,Private,130021,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,40,United-States,<=50K -50,Private,173630,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -28,Private,410351,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -34,Private,399386,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,53,United-States,<=50K -55,Private,157932,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,133061,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -19,?,46400,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,32,United-States,<=50K -21,Private,107895,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,35,United-States,<=50K -39,Private,63021,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -43,Private,186144,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -33,Local-gov,27959,HS-grad,9,Never-married,Other-service,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -26,Private,179569,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,State-gov,101299,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -31,State-gov,113129,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,65,United-States,<=50K -32,Private,316470,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,Mexico,<=50K -60,Self-emp-not-inc,89884,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,32121,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -21,Private,315303,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K -27,Private,254500,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,36,United-States,<=50K -33,Private,419895,5th-6th,3,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,Mexico,<=50K -43,Private,159549,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,160786,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K -18,Self-emp-not-inc,258474,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -48,Self-emp-not-inc,370119,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -37,Private,50837,7th-8th,4,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -58,Private,137506,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,548256,12th,8,Married-civ-spouse,Transport-moving,Husband,Black,Male,7688,0,40,United-States,>50K -42,Local-gov,175642,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,99999,0,40,United-States,>50K -24,Private,183594,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K -26,Private,341353,Bachelors,13,Never-married,Other-service,Other-relative,White,Male,0,0,15,United-States,<=50K -43,Self-emp-inc,247981,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,5455,0,50,United-States,<=50K -34,Private,193565,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,39606,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -51,Self-emp-not-inc,127149,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,>50K -31,?,233371,HS-grad,9,Married-civ-spouse,?,Wife,Black,Female,0,0,45,United-States,<=50K -49,Self-emp-not-inc,182752,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K -26,Private,269060,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -28,Private,179949,HS-grad,9,Divorced,Transport-moving,Unmarried,Black,Female,0,0,20,United-States,<=50K -22,Federal-gov,32950,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1902,37,United-States,<=50K -26,Private,160445,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,223999,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,1848,40,United-States,>50K -39,Private,81487,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,625,40,United-States,<=50K -23,Private,314539,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -62,?,337721,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -42,Local-gov,100793,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -39,Federal-gov,255407,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Federal-gov,92775,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,33308,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,70,United-States,<=50K -68,State-gov,493363,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -30,?,159589,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,46,United-States,>50K -32,Private,107218,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -25,Private,123586,Some-college,10,Never-married,Adm-clerical,Unmarried,Other,Male,0,0,40,United-States,<=50K -53,Private,158352,5th-6th,3,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,24,Italy,<=50K -38,Private,76317,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -62,?,176753,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,122346,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,463194,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,162228,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -43,State-gov,115005,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,State-gov,183285,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,36,United-States,<=50K -34,Private,169605,10th,6,Separated,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K -24,Private,450695,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -44,Local-gov,124692,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -19,Private,63918,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,102569,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -40,Private,289309,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,48,United-States,<=50K -45,Private,101825,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K -43,Private,206833,HS-grad,9,Separated,Handlers-cleaners,Unmarried,Black,Female,0,0,45,United-States,<=50K -22,?,77873,9th,5,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -50,Private,145333,Doctorate,16,Divorced,Prof-specialty,Other-relative,White,Male,10520,0,50,United-States,>50K -72,?,194548,Some-college,10,Married-spouse-absent,?,Not-in-family,White,Male,0,0,3,United-States,<=50K -29,Private,206351,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,198200,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -24,Private,140001,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,35,El-Salvador,<=50K -22,?,287988,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,15,United-States,<=50K -21,Private,143604,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -30,Self-emp-not-inc,146161,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K -37,Private,196529,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,2354,0,40,?,<=50K -74,Self-emp-not-inc,192413,Prof-school,15,Divorced,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,<=50K -70,Self-emp-not-inc,139889,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,2653,0,70,United-States,<=50K -27,Private,104917,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Local-gov,161478,Bachelors,13,Divorced,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,46,United-States,<=50K -30,Private,35644,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -29,Local-gov,116751,Assoc-voc,11,Divorced,Protective-serv,Unmarried,White,Male,0,0,56,United-States,<=50K -18,Private,238867,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,1602,40,United-States,<=50K -31,Private,265706,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -39,State-gov,179668,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,70,United-States,<=50K -21,Private,57951,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -31,Private,176711,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,United-States,<=50K -33,Local-gov,368675,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,216149,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,>50K -29,Private,173851,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,90705,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,1485,40,United-States,<=50K -52,State-gov,216342,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,<=50K -35,Private,140752,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K -33,Private,116508,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,?,224361,9th,5,Divorced,?,Unmarried,White,Female,0,0,5,Cuba,<=50K -43,Private,180303,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K -66,?,196736,1st-4th,2,Never-married,?,Not-in-family,Black,Male,0,0,30,United-States,<=50K -51,Local-gov,110327,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Private,185607,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -17,Local-gov,244856,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -32,Private,198068,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,97136,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -19,Self-emp-inc,164658,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K -54,Private,235693,11th,7,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K -45,Private,197038,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -47,Local-gov,97419,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -49,Self-emp-not-inc,208872,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1672,98,United-States,<=50K -32,Private,205528,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Self-emp-inc,146042,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -39,Self-emp-inc,222641,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -27,Self-emp-inc,376936,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -42,Local-gov,138077,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,38,United-States,>50K -24,Private,155913,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,<=50K -45,Private,36006,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -19,Private,214678,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -46,Private,369538,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -50,Private,166565,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,257043,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K -47,Self-emp-inc,181130,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -69,?,254834,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,10605,0,10,United-States,>50K -43,Self-emp-not-inc,38876,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -29,Private,187073,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Federal-gov,156996,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,2415,55,?,>50K -90,Private,313749,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K -41,Private,331651,Prof-school,15,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,Japan,>50K -24,Private,243368,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,36,Mexico,<=50K -24,Private,32921,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K -24,Private,117167,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,53,United-States,<=50K -35,Private,401930,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1887,42,United-States,>50K -30,Private,114691,Bachelors,13,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K -46,Private,99385,Bachelors,13,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Local-gov,210308,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,1721,30,United-States,<=50K -39,Private,252327,9th,5,Separated,Craft-repair,Own-child,White,Male,0,0,35,Mexico,<=50K -43,Private,90582,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,190194,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,Private,264188,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,24,United-States,<=50K -34,Private,243776,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -41,Private,67065,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -24,Self-emp-not-inc,204209,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K -24,Private,226668,HS-grad,9,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Male,0,0,35,United-States,<=50K -34,Self-emp-inc,174215,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,4787,0,45,France,>50K -33,Private,315143,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Cuba,>50K -37,Private,118681,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,38,Puerto-Rico,<=50K -39,Self-emp-not-inc,208109,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -58,Private,116901,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -36,Self-emp-not-inc,405644,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Mexico,<=50K -33,Federal-gov,293550,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,4064,0,40,United-States,<=50K -42,Local-gov,328581,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -31,Private,217962,Some-college,10,Never-married,Protective-serv,Other-relative,Black,Male,0,0,40,?,<=50K -57,Private,158827,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -67,Federal-gov,65475,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -23,Private,159709,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,140474,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -43,Private,144778,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,Italy,>50K -39,Self-emp-not-inc,83242,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -36,Private,143385,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Local-gov,167544,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Female,0,0,13,United-States,<=50K -25,Private,122175,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -54,Private,378747,10th,6,Separated,Transport-moving,Unmarried,Black,Male,0,0,45,United-States,>50K -24,Private,230475,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -50,Self-emp-inc,120781,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,60,South,>50K -70,Private,206232,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -61,Private,298400,Bachelors,13,Divorced,Sales,Not-in-family,Black,Male,4787,0,48,United-States,>50K -51,Federal-gov,163671,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,<=50K -38,Self-emp-not-inc,140583,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -51,Private,137253,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K -28,Private,246974,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -66,Self-emp-not-inc,182470,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,>50K -57,Self-emp-inc,107617,HS-grad,9,Separated,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,>50K -44,Self-emp-inc,116358,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,50,?,>50K -29,Private,250819,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,196508,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K -42,Private,367533,10th,6,Married-civ-spouse,Craft-repair,Own-child,Other,Male,0,0,43,United-States,>50K -74,Private,188709,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -50,Private,271160,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,Private,173674,HS-grad,9,Divorced,Other-service,Other-relative,White,Female,0,0,14,United-States,<=50K -64,?,257790,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,38,United-States,<=50K -44,Private,322391,11th,7,Separated,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -34,Private,209691,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,4386,0,50,United-States,>50K -17,Private,104232,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K -17,?,86786,10th,6,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -43,Private,88233,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -32,Private,240888,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -54,Private,169719,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,3103,0,40,United-States,>50K -20,Private,129240,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -23,Private,160968,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K -34,Private,236861,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K -30,Private,109282,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -32,Private,215047,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,115932,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,Ireland,>50K -28,Private,55360,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -44,Private,224658,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -29,Local-gov,376302,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,35,Nicaragua,>50K -28,Private,183597,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,594,0,50,Germany,<=50K -37,Private,115289,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -56,Self-emp-inc,258883,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,69132,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,207301,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,20,United-States,<=50K -37,Private,179671,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -66,Self-emp-not-inc,140456,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -19,Private,327397,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K -60,Private,200235,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -54,Self-emp-not-inc,108435,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,2829,0,30,United-States,<=50K -47,Private,195978,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -47,Private,329144,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,>50K -48,Self-emp-inc,250674,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -57,?,176897,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K -50,Self-emp-inc,132716,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Germany,>50K -62,Private,174201,9th,5,Widowed,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K -45,Private,167617,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -55,Local-gov,254949,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,319582,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K -25,Private,248990,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Guatemala,<=50K -49,Private,144396,11th,7,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -32,State-gov,200469,Some-college,10,Never-married,Protective-serv,Unmarried,Black,Female,3887,0,40,United-States,<=50K -25,Federal-gov,55636,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -39,Private,185624,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -27,Local-gov,125442,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,160943,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,>50K -30,Private,243841,HS-grad,9,Divorced,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,South,<=50K -21,Private,34616,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -33,Private,235847,Prof-school,15,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -33,Private,174789,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -33,Private,280111,11th,7,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,38,United-States,<=50K -70,Private,236055,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -25,Private,237865,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,42,United-States,<=50K -17,Private,194612,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -20,Private,173851,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,372483,Some-college,10,Never-married,Other-service,Other-relative,Black,Male,0,0,35,United-States,<=50K -71,Federal-gov,422149,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,40,United-States,>50K -31,Private,174201,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,272618,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -52,Private,74660,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,201481,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,175232,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -25,Private,336440,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,46645,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,9,United-States,<=50K -48,State-gov,31141,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,40,United-States,>50K -53,Private,281425,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -30,Self-emp-not-inc,31510,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -44,Private,310255,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -32,Federal-gov,82393,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,56,United-States,>50K -59,Self-emp-not-inc,190514,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -49,Private,165513,Some-college,10,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -65,?,178931,HS-grad,9,Married-civ-spouse,?,Husband,Amer-Indian-Eskimo,Male,3818,0,40,United-States,<=50K -31,Private,226696,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K -53,Private,195813,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,Other,Male,5178,0,40,Puerto-Rico,>50K -44,Private,165815,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,123983,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,55,Japan,>50K -36,Private,235371,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,147258,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -63,?,222289,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,7688,0,54,United-States,>50K -67,Self-emp-inc,171564,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,20051,0,30,England,>50K -29,Private,255949,Bachelors,13,Never-married,Sales,Unmarried,Black,Male,0,0,40,United-States,<=50K -52,Private,186272,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,282872,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1628,40,United-States,<=50K -21,Private,111676,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,199501,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,38,United-States,<=50K -24,Private,151443,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Female,0,0,30,United-States,<=50K -31,Private,145935,HS-grad,9,Never-married,Exec-managerial,Own-child,Black,Male,0,0,40,United-States,<=50K -54,Federal-gov,230387,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -44,Private,127592,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,210828,Some-college,10,Never-married,Handlers-cleaners,Own-child,Other,Male,0,0,30,United-States,<=50K -41,Private,297186,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,40,United-States,<=50K -37,Self-emp-inc,116554,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,70,United-States,<=50K -30,Private,144593,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,?,<=50K -26,State-gov,147719,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,20,India,<=50K -68,Self-emp-not-inc,89011,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,Canada,<=50K -31,Private,38158,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,178686,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -80,?,172826,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -26,Private,155752,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -63,Private,100099,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,231688,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,20,United-States,<=50K -30,?,147215,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -42,Self-emp-inc,50122,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -64,Federal-gov,86837,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -32,Private,113364,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,289390,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,<=50K -73,Private,77884,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -32,Private,390157,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -53,Private,89587,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,45,United-States,>50K -58,Private,234328,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Local-gov,365430,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -24,Private,410439,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,15,United-States,<=50K -53,Private,129525,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -23,Private,166527,Some-college,10,Never-married,Exec-managerial,Own-child,Other,Female,0,0,40,United-States,<=50K -42,?,109912,Assoc-acdm,12,Never-married,?,Other-relative,White,Female,0,0,40,United-States,<=50K -30,Private,210906,HS-grad,9,Married-civ-spouse,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K -38,Private,405284,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -28,Private,138269,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,25429,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -45,Private,231672,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -26,Private,258550,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,268147,9th,5,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,54411,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,?,<=50K -54,Private,37289,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,>50K -23,Private,157951,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -43,Self-emp-inc,225165,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -37,Private,238049,9th,5,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,30,El-Salvador,<=50K -31,Private,197252,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -56,Self-emp-inc,216636,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1651,40,United-States,<=50K -25,Private,183575,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -17,Private,19752,11th,7,Never-married,Other-service,Own-child,Black,Female,0,0,25,United-States,<=50K -37,Private,103925,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,68,United-States,<=50K -60,Private,31577,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -59,Federal-gov,61298,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -59,Federal-gov,190541,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -46,Self-emp-not-inc,366089,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -28,?,389857,HS-grad,9,Married-civ-spouse,?,Other-relative,White,Male,0,0,16,United-States,<=50K -33,?,192644,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,216129,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,1408,50,United-States,<=50K -29,Private,51944,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,4386,0,40,United-States,>50K -33,Self-emp-not-inc,67482,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,99,United-States,<=50K -29,?,108775,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,Dominican-Republic,<=50K -23,State-gov,279243,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,278391,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,Nicaragua,<=50K -60,Private,349898,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,44,United-States,<=50K -44,Private,219441,10th,6,Never-married,Sales,Unmarried,Other,Female,0,0,35,Dominican-Republic,<=50K -18,Private,173255,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,1055,0,25,United-States,<=50K -52,Federal-gov,29623,12th,8,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Private,217460,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -30,Private,163604,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,55,United-States,>50K -33,Private,163110,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3781,0,40,United-States,<=50K -20,Private,238685,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -27,?,251854,Bachelors,13,Married-civ-spouse,?,Wife,Black,Female,0,0,35,?,>50K -33,Private,213308,Assoc-voc,11,Separated,Adm-clerical,Own-child,Black,Female,0,0,50,United-States,<=50K -25,Private,193773,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K -63,Private,114011,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Female,0,0,20,United-States,<=50K -63,Self-emp-not-inc,52144,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K -43,Private,347934,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -58,Private,293399,11th,7,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -70,?,118630,Assoc-voc,11,Widowed,?,Unmarried,White,Female,0,0,35,United-States,<=50K -35,Private,127306,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,14344,0,40,United-States,>50K -42,Private,366180,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -20,Local-gov,188950,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,25,United-States,<=50K -35,Private,189382,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -62,Private,24515,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,283116,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,1506,0,50,United-States,<=50K -43,Self-emp-not-inc,182217,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,<=50K -19,Private,552354,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,163021,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -47,Private,61885,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -36,Self-emp-not-inc,182898,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -45,Private,183092,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -48,Private,30289,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -29,Private,77572,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -48,State-gov,118330,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K -36,Private,469056,HS-grad,9,Divorced,Sales,Unmarried,Black,Female,0,0,25,United-States,<=50K -58,Private,145574,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,302041,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -59,Private,32552,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,4,United-States,<=50K -42,Private,185413,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -33,Federal-gov,26543,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -23,Federal-gov,163870,Some-college,10,Never-married,Armed-Forces,Other-relative,White,Male,0,0,40,United-States,<=50K -21,Private,240063,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -48,Private,208748,5th-6th,3,Divorced,Machine-op-inspct,Unmarried,Other,Female,0,0,40,Dominican-Republic,<=50K -32,Local-gov,84119,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,84130,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -66,Local-gov,261062,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Local-gov,336010,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,32,United-States,<=50K -52,Private,389270,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K -17,Private,138293,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -35,Private,240389,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,43,United-States,>50K -39,Private,190297,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,55,United-States,>50K -21,?,170070,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,10,United-States,<=50K -24,Private,149457,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,81534,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,84,Japan,>50K -25,Private,378322,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,2001,50,United-States,<=50K -29,Federal-gov,196912,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -56,Private,116143,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,5178,0,44,United-States,>50K -34,Self-emp-not-inc,80933,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -64,Local-gov,190660,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -27,Private,120155,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,39,United-States,<=50K -47,Private,167159,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,4650,0,40,United-States,<=50K -36,Private,58343,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,3103,0,42,United-States,>50K -44,Federal-gov,161240,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,126402,HS-grad,9,Never-married,Farming-fishing,Not-in-family,Black,Female,0,0,60,United-States,<=50K -23,Private,148709,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,<=50K -45,Local-gov,318280,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -31,Local-gov,80058,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,64,United-States,<=50K -45,Private,274689,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -42,Private,157367,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,35,?,<=50K -33,Private,217460,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -33,Local-gov,33727,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -30,Self-emp-not-inc,166961,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K -25,Private,146117,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,42,United-States,<=50K -33,Private,160216,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,32,?,<=50K -70,Self-emp-not-inc,124449,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2246,8,United-States,>50K -22,Private,50163,9th,5,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,235271,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -46,Private,121124,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -43,Self-emp-not-inc,144218,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -37,Private,94334,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,25,United-States,<=50K -59,Self-emp-inc,169982,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -51,Self-emp-not-inc,35295,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,45,United-States,<=50K -47,Private,133969,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,2885,0,65,Japan,<=50K -36,Private,35429,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -73,Local-gov,205580,5th-6th,3,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,6,United-States,<=50K -32,Local-gov,177794,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,167474,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -51,Local-gov,35211,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -20,Private,117244,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,45,United-States,<=50K -57,Private,194850,Some-college,10,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,Mexico,<=50K -19,Private,144911,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -45,Private,197240,12th,8,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -55,Private,101338,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,148522,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -19,Private,97261,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,166606,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,229414,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K -34,Local-gov,209213,Bachelors,13,Never-married,Prof-specialty,Other-relative,Black,Male,0,0,15,United-States,<=50K -26,Private,291968,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K -73,Federal-gov,127858,Some-college,10,Widowed,Tech-support,Not-in-family,White,Female,3273,0,40,United-States,<=50K -27,Private,302406,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -37,Self-emp-not-inc,29054,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,84,United-States,<=50K -73,Self-emp-not-inc,336007,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -46,Federal-gov,349230,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,1848,40,United-States,>50K -36,Local-gov,101481,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,46704,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -49,Private,233639,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -68,Local-gov,31725,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,54850,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1590,50,United-States,<=50K -30,Private,293512,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -28,Private,375655,Bachelors,13,Never-married,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K -28,Private,105817,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -25,Local-gov,203408,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,162302,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -40,Private,163455,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,55,United-States,>50K -32,Local-gov,100135,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -60,?,41517,11th,7,Married-spouse-absent,?,Unmarried,Black,Female,0,0,20,United-States,<=50K -18,Private,102182,12th,8,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,30,United-States,<=50K -36,Private,414683,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K -26,Private,194352,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,194096,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Female,0,0,45,United-States,<=50K -90,Local-gov,153602,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,6767,0,40,United-States,<=50K -20,Private,215495,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K -27,Private,164607,Bachelors,13,Separated,Tech-support,Own-child,White,Male,0,0,50,United-States,<=50K -58,Local-gov,34878,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -37,Private,126569,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K -65,?,315728,HS-grad,9,Widowed,?,Unmarried,White,Female,2329,0,75,United-States,<=50K -28,Private,22422,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Local-gov,178222,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -45,Local-gov,56841,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -23,Private,300275,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K -69,Local-gov,197288,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -58,Self-emp-not-inc,157786,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,110684,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -58,Self-emp-not-inc,140729,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -53,Federal-gov,90127,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K -44,Self-emp-inc,37997,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -31,Private,61308,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,171199,Bachelors,13,Divorced,Machine-op-inspct,Unmarried,Other,Female,0,0,40,Puerto-Rico,<=50K -48,Private,128432,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -46,Federal-gov,195023,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,122473,9th,5,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,625,40,United-States,<=50K -43,Private,171888,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Self-emp-inc,183784,10th,6,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -20,Private,219262,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,71379,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -19,?,234519,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K -35,Private,96824,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,242597,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,?,127388,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,204536,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -54,Private,143804,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,80680,Some-college,10,Married-civ-spouse,Sales,Own-child,White,Female,0,0,16,United-States,<=50K -36,Private,301227,5th-6th,3,Separated,Priv-house-serv,Unmarried,Other,Female,0,0,35,Mexico,<=50K -26,Self-emp-not-inc,201930,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -25,Local-gov,176616,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,353219,9th,5,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,126076,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Female,0,0,50,United-States,<=50K -31,Private,156493,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -48,Federal-gov,435503,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -52,Self-emp-inc,561489,Masters,14,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,50,United-States,<=50K -22,Federal-gov,100345,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,43,United-States,<=50K -18,Private,36275,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,25,United-States,<=50K -46,Private,110794,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Local-gov,143766,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -30,Federal-gov,76313,HS-grad,9,Married-civ-spouse,Armed-Forces,Other-relative,Amer-Indian-Eskimo,Male,0,0,48,United-States,<=50K -31,Private,121308,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,216672,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,89942,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,3674,0,45,United-States,<=50K -45,State-gov,103406,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K -30,State-gov,158291,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,455361,9th,5,Never-married,Other-service,Unmarried,White,Male,0,0,35,Mexico,<=50K -44,Private,225263,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,1408,46,United-States,<=50K -54,Private,225307,11th,7,Divorced,Craft-repair,Own-child,White,Female,0,0,50,United-States,>50K -36,Private,286115,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -50,Private,187830,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -26,Private,142506,Bachelors,13,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,35,United-States,<=50K -47,Local-gov,148576,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -36,Private,185325,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,37,United-States,<=50K -32,Self-emp-not-inc,27939,Some-college,10,Married-civ-spouse,Sales,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K -21,Private,383603,10th,6,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -30,Private,140790,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -34,Private,226629,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,Mexico,<=50K -51,Private,228516,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,45,Columbia,<=50K -55,Self-emp-not-inc,119762,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,299197,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,149297,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K -28,Local-gov,202558,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -39,Private,175232,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -35,Self-emp-not-inc,157473,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -59,?,409842,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -26,Private,105787,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,36,United-States,<=50K -68,Private,144056,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,3818,0,40,United-States,<=50K -46,Private,45363,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,2824,40,United-States,>50K -21,Private,205838,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,37,United-States,<=50K -23,Private,115326,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -17,Private,186890,10th,6,Married-civ-spouse,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -23,Local-gov,304386,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,24529,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Male,0,0,15,United-States,<=50K -33,Private,183557,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,342730,Assoc-acdm,12,Separated,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -31,?,182191,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,4064,0,30,Canada,<=50K -56,Self-emp-not-inc,67841,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,351381,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -45,Private,293691,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,1590,40,Japan,<=50K -41,Self-emp-inc,220821,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -26,Private,190027,10th,6,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,30,United-States,<=50K -41,Private,343944,11th,7,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Self-emp-inc,110457,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -47,State-gov,72333,HS-grad,9,Divorced,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -43,Self-emp-not-inc,193494,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -35,Private,334999,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -44,Self-emp-not-inc,274363,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -58,Self-emp-inc,113806,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,30,United-States,>50K -25,Private,52536,Assoc-acdm,12,Divorced,Tech-support,Own-child,White,Female,0,1594,25,United-States,<=50K -44,Private,187720,Assoc-voc,11,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -57,Private,104996,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,<=50K -24,Private,214555,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,52963,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -33,Private,190511,7th-8th,4,Divorced,Handlers-cleaners,Not-in-family,White,Male,2176,0,35,United-States,<=50K -25,Private,75821,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -33,Private,123291,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,84,United-States,>50K -50,Local-gov,226497,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,>50K -35,Private,282979,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,5178,0,50,United-States,>50K -36,Private,166549,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,55,United-States,>50K -27,Private,187746,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,157145,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -30,Private,227551,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -90,Private,115306,Masters,14,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -39,Private,169249,HS-grad,9,Separated,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K -34,State-gov,221966,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -39,Private,224566,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -19,Private,28119,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,4,United-States,<=50K -19,Private,323810,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,210498,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -66,Self-emp-not-inc,174995,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,2290,0,30,Hungary,<=50K -38,Private,161141,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K -44,Private,210534,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -34,Self-emp-not-inc,112650,7th-8th,4,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -35,State-gov,318891,Assoc-acdm,12,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Local-gov,375655,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,228465,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -33,?,102130,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -73,Private,183213,Assoc-voc,11,Widowed,Prof-specialty,Not-in-family,White,Male,25124,0,60,United-States,>50K -35,Local-gov,177305,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2377,40,United-States,<=50K -41,Private,34037,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Self-emp-not-inc,116613,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,50,United-States,<=50K -25,Private,175540,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -47,Private,150768,Bachelors,13,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,1564,51,United-States,>50K -36,Private,176634,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,35,United-States,>50K -36,Private,209993,1st-4th,2,Widowed,Other-service,Other-relative,White,Female,0,0,20,Mexico,<=50K -25,Local-gov,206002,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,201259,11th,7,Divorced,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K -26,Local-gov,202286,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -53,Private,96062,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1740,40,United-States,<=50K -36,Local-gov,578377,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -30,Private,509500,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,4787,0,45,United-States,>50K -53,Local-gov,324021,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Self-emp-not-inc,107737,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -41,State-gov,129865,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -53,Private,103586,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,55,United-States,<=50K -23,Private,187513,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,32,United-States,<=50K -28,Private,172891,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -53,Local-gov,207449,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,209103,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,>50K -33,Private,408813,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -27,Private,209292,HS-grad,9,Never-married,Sales,Other-relative,Black,Female,0,0,32,Dominican-Republic,<=50K -52,Private,144361,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K -31,Private,209538,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,<=50K -27,Private,244402,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -44,Private,889965,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,3137,0,30,United-States,<=50K -37,Self-emp-not-inc,298444,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,163237,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -18,Private,311795,12th,8,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -42,Private,155972,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -49,Private,291783,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -35,Private,153535,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,36,United-States,<=50K -43,Private,249771,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,99,United-States,<=50K -43,Private,462180,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K -31,Private,308540,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -27,Private,34701,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Federal-gov,106252,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,138944,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K -37,Private,140713,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,Jamaica,>50K -53,Local-gov,216931,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,4386,0,40,United-States,>50K -26,Private,162312,Some-college,10,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,20,Philippines,<=50K -59,Self-emp-inc,253062,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -36,Federal-gov,359249,Some-college,10,Separated,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -32,Private,231413,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -53,Local-gov,197054,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -26,Private,130931,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -35,Private,30565,HS-grad,9,Married-AF-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K -48,Private,105138,HS-grad,9,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -30,Local-gov,178383,Some-college,10,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -38,Private,241998,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -58,Self-emp-not-inc,196403,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,10,United-States,>50K -44,Private,232421,HS-grad,9,Married-spouse-absent,Transport-moving,Not-in-family,Other,Male,0,0,32,Canada,<=50K -30,Private,130369,Assoc-voc,11,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -68,Self-emp-not-inc,336329,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,10,United-States,<=50K -26,Local-gov,337867,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -26,Local-gov,104614,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -41,Private,223548,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -43,State-gov,506329,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,15024,0,40,?,>50K -48,Private,64479,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,47,United-States,<=50K -55,Private,284095,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,37,United-States,<=50K -50,Self-emp-not-inc,221336,Some-college,10,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,?,<=50K -41,Private,428499,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,50,United-States,>50K -52,Private,208302,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,36,United-States,<=50K -24,?,412156,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,Mexico,<=50K -31,Self-emp-not-inc,182177,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K -54,Local-gov,129972,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,>50K -31,Self-emp-not-inc,186420,Masters,14,Separated,Tech-support,Not-in-family,White,Female,0,0,25,United-States,<=50K -31,Self-emp-inc,203488,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -47,Private,128796,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -40,Private,55395,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -46,State-gov,314770,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K -45,Private,135044,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,319248,10th,6,Never-married,Other-service,Unmarried,White,Female,0,0,25,Mexico,<=50K -34,Local-gov,236415,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,18,United-States,<=50K -48,?,151584,Some-college,10,Never-married,?,Not-in-family,White,Male,8614,0,60,United-States,>50K -19,?,133983,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -56,Private,81220,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Canada,<=50K -47,Private,151087,HS-grad,9,Separated,Prof-specialty,Other-relative,Other,Female,0,0,40,Puerto-Rico,<=50K -35,Private,322171,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K -25,Private,190628,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Columbia,<=50K -43,Local-gov,106982,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -59,Private,227856,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,37,United-States,>50K -66,?,213477,7th-8th,4,Divorced,?,Not-in-family,White,Male,0,0,10,United-States,<=50K -63,Private,266083,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -32,Private,257068,Some-college,10,Married-spouse-absent,Transport-moving,Not-in-family,White,Female,0,0,37,United-States,<=50K -58,?,37591,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Self-emp-inc,150533,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,0,0,50,United-States,>50K -27,Private,211184,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,52,United-States,<=50K -21,Private,136610,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,32,United-States,<=50K -44,Federal-gov,244054,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,>50K -40,Self-emp-not-inc,240698,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -65,Private,172906,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Private,238959,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -18,?,163085,HS-grad,9,Separated,?,Own-child,White,Male,0,0,20,United-States,<=50K -51,State-gov,172022,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -44,Federal-gov,218062,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -20,Private,201799,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,13,United-States,<=50K -29,Private,150717,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,94391,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -50,Local-gov,153064,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K -43,Private,156771,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,216639,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,82161,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -30,?,159159,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,30,United-States,<=50K -58,Self-emp-not-inc,310014,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K -50,State-gov,133014,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,36214,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,>50K -21,Private,399022,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,24,United-States,<=50K -33,Private,179758,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,20,United-States,<=50K -52,Private,48947,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -47,Private,201865,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,319122,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,14084,0,45,United-States,>50K -34,Private,155151,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -39,Private,24106,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Philippines,>50K -31,Private,257863,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -19,?,28967,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,379393,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,45,United-States,<=50K -45,Self-emp-not-inc,152752,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,3,United-States,<=50K -34,Private,154874,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,4416,0,30,United-States,<=50K -27,Private,154210,11th,7,Married-spouse-absent,Sales,Own-child,Asian-Pac-Islander,Male,0,0,35,India,<=50K -37,Private,335716,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,94744,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K -32,Private,133861,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,13550,0,48,United-States,>50K -24,Private,240137,1st-4th,2,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,55,Mexico,<=50K -39,Private,80004,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,109702,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -62,Self-emp-not-inc,39610,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -24,Private,90046,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,193855,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -46,Private,206889,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -44,Private,86298,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,149650,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,2559,48,United-States,>50K -25,Private,323139,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -44,Private,237993,Prof-school,15,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,?,<=50K -24,Private,36058,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -61,Private,163393,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K -45,Local-gov,93535,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Self-emp-not-inc,112952,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,48,United-States,<=50K -48,Private,182541,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K -26,Local-gov,73392,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K -40,?,507086,HS-grad,9,Divorced,?,Not-in-family,Black,Female,0,0,32,United-States,<=50K -68,Private,195868,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,20051,0,40,United-States,>50K -24,Private,276851,HS-grad,9,Divorced,Protective-serv,Own-child,White,Female,0,1762,40,United-States,<=50K -25,?,39901,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K -31,Local-gov,33124,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -55,Private,419732,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K -46,Private,171095,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Female,0,0,38,United-States,<=50K -58,Private,199278,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,38,United-States,<=50K -56,Private,235205,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Federal-gov,168232,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,55,United-States,>50K -24,Private,145964,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,>50K -35,Local-gov,72338,HS-grad,9,Divorced,Farming-fishing,Own-child,Asian-Pac-Islander,Male,0,0,56,United-States,<=50K -51,Private,153870,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -47,Private,323798,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,55,United-States,>50K -17,Private,198830,11th,7,Never-married,Adm-clerical,Other-relative,White,Female,0,0,10,United-States,<=50K -21,Private,267040,10th,6,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -45,Private,167187,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -42,Private,230684,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,5178,0,50,United-States,>50K -56,Private,659558,12th,8,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -39,Private,181661,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,186144,7th-8th,4,Never-married,Machine-op-inspct,Not-in-family,Other,Female,0,0,40,Mexico,<=50K -20,Federal-gov,178517,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -65,Self-emp-not-inc,131417,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,1797,0,21,United-States,<=50K -44,Private,57233,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -33,Private,379798,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,122175,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -38,Private,107302,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -31,Local-gov,127651,10th,6,Never-married,Transport-moving,Other-relative,White,Male,0,1741,40,United-States,<=50K -33,Self-emp-not-inc,102884,Bachelors,13,Married-civ-spouse,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -49,Self-emp-not-inc,241753,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,173611,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,232666,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,352207,Assoc-voc,11,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -37,Self-emp-not-inc,241998,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,5,United-States,>50K -52,Private,279129,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,37,United-States,>50K -27,Private,177057,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,155659,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,55,United-States,>50K -21,Private,251603,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Federal-gov,19914,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K -61,Private,115023,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -32,Private,101709,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -21,Private,313702,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -63,Private,250068,12th,8,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -34,Private,227359,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,42,United-States,<=50K -21,State-gov,196827,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Male,0,0,10,United-States,<=50K -44,Private,118550,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,33,United-States,<=50K -26,Private,285004,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,35,South,<=50K -36,Private,280169,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -39,Private,144608,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,?,>50K -52,Private,76860,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,8,Philippines,<=50K -44,Self-emp-not-inc,167280,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,334783,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -60,?,141580,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K -31,Private,226443,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,366065,Some-college,10,Never-married,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -23,Private,225724,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,25,United-States,<=50K -81,State-gov,132204,1st-4th,2,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -39,Private,258276,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,3137,0,40,?,<=50K -38,Private,197711,10th,6,Divorced,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Portugal,<=50K -21,Private,30619,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -28,Local-gov,335015,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,61272,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,106544,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,144169,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,40295,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,99,United-States,<=50K -56,Private,266091,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,2907,0,52,Cuba,<=50K -57,Private,143030,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,30,?,<=50K -42,State-gov,192397,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K -43,Private,114351,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -48,?,63466,HS-grad,9,Married-spouse-absent,?,Unmarried,White,Female,0,0,32,United-States,<=50K -53,Private,132304,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Scotland,<=50K -58,Private,128162,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,24,United-States,<=50K -19,Private,125938,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,40,El-Salvador,<=50K -37,Private,170174,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,46,United-States,>50K -41,Self-emp-not-inc,203451,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,15,United-States,<=50K -31,Private,109917,7th-8th,4,Separated,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,114937,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -53,Local-gov,231196,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,238474,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K -56,Private,314149,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -55,Federal-gov,31728,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -51,Private,360131,5th-6th,3,Married-civ-spouse,Craft-repair,Other-relative,White,Female,0,0,40,United-States,<=50K -62,Private,141308,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,83411,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -45,?,119835,7th-8th,4,Divorced,?,Not-in-family,Amer-Indian-Eskimo,Male,0,0,48,United-States,<=50K -28,Local-gov,296537,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -46,Private,193047,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -62,State-gov,39630,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -57,Local-gov,213975,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -60,Local-gov,259803,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -23,Federal-gov,55465,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,181307,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,99999,0,60,United-States,>50K -21,Private,211301,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,8,United-States,<=50K -51,Private,200450,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,<=50K -61,Local-gov,176731,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -52,Self-emp-not-inc,140985,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,99999,0,30,United-States,>50K -76,Private,125784,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,152176,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,39,United-States,<=50K -31,Self-emp-not-inc,111423,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K -43,Private,130126,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -58,Federal-gov,30111,Some-college,10,Widowed,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -18,?,214989,Some-college,10,Never-married,?,Own-child,White,Female,0,1602,24,United-States,<=50K -19,Private,272800,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -44,Private,195881,Some-college,10,Divorced,Exec-managerial,Other-relative,White,Female,0,0,45,United-States,<=50K -41,Local-gov,170924,Some-college,10,Never-married,Prof-specialty,Other-relative,White,Male,0,0,7,United-States,<=50K -21,Private,131473,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,20,Vietnam,<=50K -40,Private,149466,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,Black,Male,0,0,35,United-States,<=50K -25,Private,190418,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,Canada,<=50K -62,Local-gov,167889,Doctorate,16,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,Iran,<=50K -42,Private,177989,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,186035,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,195805,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K -60,Private,54800,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -20,Private,100605,HS-grad,9,Never-married,Sales,Own-child,Other,Male,0,0,40,Puerto-Rico,<=50K -23,Private,253190,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,25,United-States,<=50K -18,Private,203301,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,175696,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -19,Private,278304,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -51,Private,93193,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Local-gov,158688,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K -18,Private,327612,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -41,Private,210844,Some-college,10,Married-spouse-absent,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -27,Private,147340,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -71,Self-emp-not-inc,130436,1st-4th,2,Divorced,Craft-repair,Not-in-family,White,Female,0,0,28,United-States,<=50K -25,Private,206600,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,El-Salvador,<=50K -73,Private,284680,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -45,Private,127738,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,213412,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -50,Private,287927,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,16,United-States,<=50K -44,Private,249332,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Ecuador,<=50K -44,Local-gov,290403,Assoc-voc,11,Divorced,Protective-serv,Own-child,White,Female,0,0,40,Cuba,<=50K -49,Private,54772,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,45,United-States,>50K -44,Self-emp-inc,56651,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,45,United-States,>50K -42,Federal-gov,178470,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,62865,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,45,United-States,<=50K -66,Private,107196,HS-grad,9,Widowed,Tech-support,Not-in-family,White,Female,0,0,18,United-States,<=50K -19,Private,86860,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,15,United-States,<=50K -60,Private,130684,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -46,Private,164682,Assoc-voc,11,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,198316,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -59,Private,261816,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,52,Outlying-US(Guam-USVI-etc),<=50K -58,Private,280309,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,60,United-States,>50K -47,Private,97176,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -58,Private,95835,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,36,United-States,<=50K -69,?,323016,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,99999,0,40,United-States,>50K -17,?,280670,10th,6,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,136306,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,24,United-States,<=50K -28,Private,65171,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,70,United-States,<=50K -37,Private,25864,HS-grad,9,Separated,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -30,Private,149531,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,33887,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,172822,11th,7,Divorced,Transport-moving,Not-in-family,White,Male,0,2824,76,United-States,>50K -59,Private,106748,7th-8th,4,Married-civ-spouse,Other-service,Wife,White,Female,0,0,99,United-States,<=50K -45,Private,131826,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -53,Local-gov,216691,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,10520,0,40,United-States,>50K -37,Private,133328,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,164737,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Local-gov,99064,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,State-gov,59460,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,<=50K -27,Private,208725,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,138513,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,121055,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,149784,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,114495,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -34,?,133278,12th,8,Separated,?,Unmarried,Black,Female,0,0,53,United-States,<=50K -32,Private,212276,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -32,Private,440129,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,Mexico,<=50K -47,Private,98012,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,40,United-States,>50K -27,Private,145284,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,177147,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,141537,10th,6,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,48093,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,92,United-States,<=50K -23,Local-gov,314819,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,123572,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -19,Private,170800,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K -42,Private,332401,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Self-emp-not-inc,193038,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,15,United-States,<=50K -41,Private,351161,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1848,45,United-States,>50K -45,Federal-gov,106910,HS-grad,9,Never-married,Transport-moving,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -67,?,163726,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,49,United-States,<=50K -36,Self-emp-not-inc,609935,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,48,?,<=50K -52,State-gov,314627,Masters,14,Divorced,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -28,Private,115945,Doctorate,16,Never-married,Adm-clerical,Own-child,White,Male,0,0,18,United-States,<=50K -83,Self-emp-inc,272248,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K -17,Private,167878,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -27,Private,176972,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,31095,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K -40,Private,130834,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,207415,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,White,Female,0,0,25,United-States,<=50K -51,Local-gov,264457,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -51,Private,340588,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,54,Mexico,<=50K -82,?,42435,10th,6,Widowed,?,Not-in-family,White,Male,0,0,20,United-States,<=50K -28,Private,107411,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -53,Private,290640,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,Germany,>50K -29,Private,106179,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,Canada,<=50K -19,Private,247679,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -30,Private,171598,Bachelors,13,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -23,Private,234460,7th-8th,4,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,Dominican-Republic,<=50K -66,Private,196674,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,>50K -27,Private,182540,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,172694,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -17,Private,29571,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -27,Private,130438,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,213421,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -44,Local-gov,189956,Bachelors,13,Married-civ-spouse,Protective-serv,Wife,Black,Female,15024,0,40,United-States,>50K -64,Private,133144,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,16,United-States,<=50K -62,Self-emp-inc,24050,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K -26,Private,276967,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,184857,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -40,Private,145160,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -35,Private,192251,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,190650,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K -52,Local-gov,255927,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,24,United-States,<=50K -46,Private,99086,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -30,Private,216811,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -52,Private,110563,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,120471,HS-grad,9,Never-married,Transport-moving,Not-in-family,Other,Male,0,0,40,United-States,<=50K -17,Private,183066,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -46,State-gov,298786,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -45,Private,297884,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -21,Private,253612,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,1055,0,32,United-States,<=50K -18,Self-emp-not-inc,207438,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -17,Private,148522,11th,7,Never-married,Other-service,Own-child,White,Male,0,1721,15,United-States,<=50K -90,Private,139660,Some-college,10,Divorced,Sales,Unmarried,Black,Female,0,0,37,United-States,<=50K -23,Private,165474,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,120277,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -19,Self-emp-not-inc,67929,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K -69,Private,229418,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -23,Federal-gov,41356,Assoc-acdm,12,Never-married,Exec-managerial,Unmarried,White,Female,0,0,32,United-States,<=50K -28,Private,185127,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,54,United-States,<=50K -37,Private,109133,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,1977,45,United-States,>50K -57,Private,148315,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -30,Local-gov,145692,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Male,0,1974,40,United-States,<=50K -48,Private,210424,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,914,0,40,United-States,<=50K -73,Private,198526,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,0,0,32,United-States,<=50K -25,Private,521400,5th-6th,3,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K -33,Private,100882,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -36,Private,124818,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,190836,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3411,0,40,United-States,<=50K -57,Private,71367,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,303032,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,?,98989,9th,5,Divorced,?,Own-child,Amer-Indian-Eskimo,Male,0,0,38,United-States,<=50K -40,State-gov,390781,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,48,United-States,<=50K -32,Private,54782,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -35,?,202683,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,213081,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,Jamaica,<=50K -27,Self-emp-inc,89718,Some-college,10,Separated,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -17,Private,225106,10th,6,Never-married,Other-service,Own-child,White,Female,0,1602,18,United-States,<=50K -29,Private,253262,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,78181,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -20,Private,158206,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -69,?,337720,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K -18,State-gov,391257,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Private,134756,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -40,Private,183404,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,8,United-States,<=50K -46,Private,192793,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,203943,12th,8,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,?,<=50K -53,Private,89400,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Private,237868,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -23,Private,139187,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K -40,Private,126701,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -54,Self-emp-inc,172175,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -45,Private,164210,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Local-gov,608184,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -17,?,198797,11th,7,Never-married,?,Own-child,White,Male,0,0,20,Peru,<=50K -50,Local-gov,425804,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -22,?,117618,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,25,United-States,<=50K -30,Private,119164,Bachelors,13,Never-married,Other-service,Unmarried,White,Male,0,0,40,?,<=50K -40,Self-emp-inc,92036,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,State-gov,77146,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Self-emp-not-inc,191803,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Private,54932,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,251694,Bachelors,13,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K -22,Private,268145,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Private,104842,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,50,Haiti,<=50K -60,Local-gov,227332,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -37,Private,212512,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3464,0,50,United-States,<=50K -53,Private,133436,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,State-gov,309055,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -18,Private,59202,HS-grad,9,Never-married,Priv-house-serv,Other-relative,White,Female,0,0,10,United-States,<=50K -36,Private,32709,Some-college,10,Divorced,Sales,Not-in-family,White,Female,3325,0,45,United-States,<=50K -67,Self-emp-inc,73559,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,9386,0,50,United-States,>50K -31,Private,117963,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,60,United-States,<=50K -26,Private,169121,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K -18,Private,308889,11th,7,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K -45,Local-gov,144940,Masters,14,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -64,Private,102041,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,335998,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K -53,Private,29557,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,210313,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,28,Guatemala,<=50K -32,Private,190784,Some-college,10,Divorced,Machine-op-inspct,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,107597,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,14084,0,30,United-States,>50K -59,Private,97168,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -44,Private,155930,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,55,United-States,>50K -61,Self-emp-not-inc,181033,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -41,?,344572,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -46,State-gov,170165,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,37,United-States,<=50K -32,Private,178835,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,118230,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -48,Private,149640,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,30271,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K -21,Private,154165,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,35,United-States,<=50K -50,Self-emp-not-inc,341797,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -44,Local-gov,145246,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K -51,Private,280093,HS-grad,9,Separated,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -42,Private,373469,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -27,Private,199172,Bachelors,13,Never-married,Protective-serv,Own-child,White,Female,0,0,40,United-States,<=50K -70,Self-emp-not-inc,177199,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,3,United-States,<=50K -33,Private,258932,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,Self-emp-not-inc,139960,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,10605,0,60,United-States,>50K -39,Private,258037,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,?,<=50K -32,Private,116677,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,59496,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Self-emp-inc,34218,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,200246,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -64,Federal-gov,316246,Bachelors,13,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -37,Local-gov,239161,Some-college,10,Separated,Protective-serv,Own-child,Other,Male,0,0,52,United-States,<=50K -49,Self-emp-not-inc,173411,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,259226,11th,7,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,48,United-States,<=50K -35,Local-gov,195516,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,200598,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1740,45,United-States,<=50K -42,State-gov,160369,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -21,?,415913,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,147253,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Local-gov,199674,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -29,State-gov,198493,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -23,Private,377121,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -21,Private,400635,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,?,<=50K -45,Private,513660,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,?,175069,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,50,United-States,<=50K -38,Private,82552,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,594,0,50,United-States,<=50K -28,?,78388,10th,6,Never-married,?,Own-child,White,Female,0,0,38,United-States,<=50K -23,Private,171705,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K -39,Self-emp-not-inc,315640,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,60,Iran,<=50K -45,Private,266860,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -68,Private,192829,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,<=50K -60,Federal-gov,237317,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Male,4934,0,40,United-States,>50K -38,State-gov,110426,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,40,?,>50K -41,Private,327606,12th,8,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -48,Private,34845,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -33,Private,58582,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,155659,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Local-gov,210029,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -26,Private,381618,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -55,Self-emp-inc,298449,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,50,United-States,>50K -35,State-gov,226789,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,75,United-States,<=50K -52,Private,210736,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,55,United-States,>50K -46,State-gov,111163,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -72,?,76860,HS-grad,9,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,1,United-States,<=50K -18,Private,92112,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -62,Local-gov,136787,HS-grad,9,Divorced,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K -22,Private,29810,Some-college,10,Never-married,Transport-moving,Own-child,White,Female,0,0,30,United-States,<=50K -40,Private,360884,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,7298,0,40,United-States,>50K -26,Private,266022,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,142874,Assoc-acdm,12,Married-spouse-absent,Sales,Own-child,Black,Female,0,0,36,United-States,<=50K -25,Self-emp-not-inc,72338,HS-grad,9,Never-married,Sales,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -46,?,177305,Assoc-voc,11,Married-civ-spouse,?,Wife,Black,Female,0,0,35,United-States,>50K -39,Private,165106,Bachelors,13,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,1564,50,?,>50K -41,Private,424478,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,45,United-States,>50K -59,Private,189721,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Italy,>50K -37,Private,34180,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,183279,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K -33,Private,35309,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,40,?,<=50K -23,Private,259109,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Puerto-Rico,<=50K -67,Self-emp-not-inc,148690,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Male,18481,0,2,United-States,>50K -60,Private,125019,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,8614,0,48,United-States,>50K -39,Self-emp-inc,172538,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -32,Self-emp-not-inc,410615,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,60,United-States,>50K -26,Private,322547,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -39,Private,300760,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,50,United-States,<=50K -28,Private,232782,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,174645,11th,7,Divorced,Craft-repair,Unmarried,White,Female,0,0,52,United-States,<=50K -43,Private,164693,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,206861,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,25,United-States,<=50K -32,Private,195602,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,45,United-States,>50K -33,Self-emp-not-inc,422960,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,60,United-States,>50K -45,Private,116360,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K -48,Private,278530,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -43,Local-gov,188291,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K -50,Self-emp-not-inc,163948,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -63,Private,64544,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,>50K -55,Private,101468,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K -22,Private,107882,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,35,United-States,<=50K -32,Self-emp-not-inc,182691,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,60,United-States,<=50K -27,Private,203776,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -22,Private,201268,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -44,Private,29762,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,68,United-States,<=50K -34,Private,186346,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,196690,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,99604,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,24,United-States,>50K -45,Private,194772,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -17,Private,95446,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -53,Self-emp-not-inc,257126,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -58,Private,194733,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -55,Self-emp-not-inc,98361,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -44,Local-gov,124924,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K -40,Self-emp-not-inc,111971,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -58,Self-emp-not-inc,130714,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,208358,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -62,Private,147627,9th,5,Never-married,Priv-house-serv,Not-in-family,Black,Female,1055,0,22,United-States,<=50K -31,Private,149507,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,3464,0,38,United-States,<=50K -31,Private,164870,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -30,Private,236861,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,1876,45,United-States,<=50K -37,Private,220314,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K -38,Local-gov,329980,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1876,40,Canada,<=50K -58,Local-gov,318537,12th,8,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,183284,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -28,Private,334368,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,4650,0,40,United-States,<=50K -46,Private,109227,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,70,United-States,<=50K -34,Private,118551,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Self-emp-inc,163057,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,99,United-States,<=50K -61,Self-emp-inc,253101,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -30,Self-emp-not-inc,20098,Assoc-voc,11,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,196227,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,175374,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,234037,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,58,United-States,<=50K -47,Private,341762,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,33,United-States,<=50K -20,Private,174714,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,222835,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -46,Private,251786,1st-4th,2,Separated,Other-service,Not-in-family,White,Female,0,0,40,Mexico,<=50K -20,Private,164219,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K -33,Private,251120,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K -30,Private,236993,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -43,Local-gov,105896,Some-college,10,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,211527,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,60,United-States,<=50K -34,Private,317809,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,?,>50K -25,Private,185287,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,31014,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -44,Private,151985,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,24,United-States,>50K -26,Private,89389,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,406051,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,80,United-States,>50K -48,Self-emp-not-inc,171986,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,15,United-States,<=50K -26,Private,167848,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -41,Local-gov,213019,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,211424,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,168981,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,White,Female,0,0,55,United-States,<=50K -24,Private,122348,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -31,Private,139753,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Local-gov,176178,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Female,0,0,2,United-States,<=50K -41,Private,145220,9th,5,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,40,Columbia,<=50K -38,Local-gov,188612,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -19,Private,445728,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,318002,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,235722,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,?,367984,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -67,Private,212705,Masters,14,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K -49,Private,411273,10th,6,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -35,Private,103986,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -44,Private,203761,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -58,?,266792,Some-college,10,Married-civ-spouse,?,Husband,White,Male,99999,0,40,United-States,>50K -22,Private,116800,Assoc-acdm,12,Never-married,Protective-serv,Own-child,White,Male,0,0,60,United-States,<=50K -21,State-gov,99199,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,10,United-States,<=50K -50,Private,162327,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -44,Local-gov,100479,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K -36,Local-gov,32587,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -30,Federal-gov,321990,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,48,Cuba,>50K -52,Private,108914,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -35,Self-emp-not-inc,61343,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,90,United-States,<=50K -48,Local-gov,81154,Assoc-voc,11,Never-married,Protective-serv,Unmarried,White,Male,0,0,48,United-States,<=50K -23,Private,162945,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,2377,40,United-States,<=50K -37,Private,225504,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -44,Self-emp-inc,191712,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,55,United-States,>50K -44,Private,176063,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -36,Private,198587,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,State-gov,34965,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,12,United-States,<=50K -31,Self-emp-inc,467108,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -23,?,263899,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,12,England,<=50K -29,Private,204984,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -53,Private,217568,HS-grad,9,Widowed,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K -52,Private,48343,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,193130,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1887,40,United-States,>50K -31,Private,253354,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -19,?,258026,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,16,United-States,<=50K -64,?,211360,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -55,Private,191367,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,148995,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -20,Private,123901,HS-grad,9,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K -50,Local-gov,117496,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,7298,0,30,United-States,>50K -45,Self-emp-inc,32356,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,51,United-States,<=50K -17,Private,206506,10th,6,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,10,El-Salvador,<=50K -38,Private,218729,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -43,Private,52498,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K -22,Private,136767,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -63,Private,219540,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,114059,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -56,Private,247337,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -43,State-gov,310969,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K -41,Private,171546,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -41,Private,217455,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,410489,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -59,Private,146391,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -46,Local-gov,165484,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K -23,Private,184271,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K -46,Self-emp-not-inc,231347,Some-college,10,Separated,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -53,Private,95469,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,40,United-States,>50K -47,Private,244025,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Amer-Indian-Eskimo,Male,0,0,56,Puerto-Rico,<=50K -46,Federal-gov,46537,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,205730,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,>50K -29,Private,383745,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,30,United-States,>50K -32,Private,328199,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -90,Private,84553,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -63,Private,221072,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,49,?,<=50K -23,Private,123983,Assoc-voc,11,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -76,?,191024,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -23,Private,167868,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,225879,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Other,Female,0,0,30,Mexico,>50K -81,Self-emp-inc,247232,10th,6,Married-civ-spouse,Exec-managerial,Wife,White,Female,2936,0,28,United-States,<=50K -17,Private,143791,10th,6,Never-married,Other-service,Own-child,Black,Female,0,0,12,United-States,<=50K -56,Private,177271,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -58,Federal-gov,129786,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,31339,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -25,Private,236267,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,130620,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,35,Philippines,>50K -32,Private,208180,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,24,United-States,>50K -25,Private,292058,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K -29,Federal-gov,142712,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -23,Private,119665,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,<=50K -41,Private,116825,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -48,State-gov,201177,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -29,Private,118337,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -27,?,173800,Masters,14,Never-married,?,Unmarried,Asian-Pac-Islander,Male,0,0,20,Taiwan,<=50K -55,Private,289257,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,190912,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,1651,40,Vietnam,<=50K -45,Private,140581,Some-college,10,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -50,Private,174102,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,Puerto-Rico,<=50K -22,Private,316509,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -80,Local-gov,20101,HS-grad,9,Widowed,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,32,United-States,<=50K -30,Private,187279,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,44,United-States,<=50K -20,Private,259496,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -29,Self-emp-not-inc,181466,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -56,Private,178202,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -63,Private,188976,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,203027,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -38,State-gov,142022,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -31,Private,119033,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,216181,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -47,Private,178341,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,46,United-States,>50K -25,Local-gov,244408,Bachelors,13,Never-married,Tech-support,Unmarried,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -31,Private,198953,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,38,United-States,<=50K -28,Private,173110,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,66326,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,<=50K -30,Local-gov,181091,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -39,Self-emp-inc,135500,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K -27,Private,133929,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,36,?,<=50K -26,Private,86483,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,167787,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -27,Self-emp-not-inc,208577,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,2258,50,United-States,<=50K -43,Private,216697,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Other,Male,0,0,32,United-States,<=50K -32,Local-gov,118457,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K -20,Private,298635,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,30,Philippines,<=50K -21,Local-gov,212780,12th,8,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,20,United-States,<=50K -32,Private,159187,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,237995,Assoc-voc,11,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,48,United-States,<=50K -45,Private,160724,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -37,Self-emp-inc,183800,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K -54,?,185936,9th,5,Divorced,?,Not-in-family,White,Female,0,0,15,United-States,<=50K -24,Private,161198,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,25,United-States,<=50K -28,?,113635,11th,7,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -23,Private,214542,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -54,?,172991,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,203761,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -38,Private,161141,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -71,Private,180117,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,317396,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Self-emp-not-inc,237868,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,5,United-States,<=50K -30,Private,323069,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,181091,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -38,Private,309122,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Federal-gov,105936,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,13550,0,40,United-States,>50K -43,Private,40024,11th,7,Never-married,Transport-moving,Not-in-family,White,Male,0,0,42,United-States,<=50K -36,Federal-gov,192443,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,13550,0,40,United-States,>50K -24,State-gov,184216,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -29,?,256211,1st-4th,2,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -55,Private,205422,10th,6,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K -51,Private,22211,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,60,United-States,>50K -43,Local-gov,196308,HS-grad,9,Divorced,Exec-managerial,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -28,Private,389713,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,82566,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -47,Private,199058,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -47,Private,160440,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -47,Private,76034,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,57,United-States,>50K -38,Private,188503,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,6497,0,35,United-States,<=50K -60,Self-emp-not-inc,92845,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,29083,HS-grad,9,Never-married,Sales,Own-child,Amer-Indian-Eskimo,Female,0,0,25,United-States,<=50K -22,Private,234474,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,25,United-States,<=50K -55,Local-gov,107308,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -44,Private,111891,Some-college,10,Separated,Sales,Other-relative,Black,Female,0,0,35,United-States,<=50K -53,Self-emp-not-inc,145419,1st-4th,2,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,67,Italy,>50K -44,Local-gov,193425,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,4386,0,40,United-States,>50K -28,Federal-gov,188278,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Male,0,0,50,United-States,<=50K -30,Local-gov,303485,Some-college,10,Never-married,Transport-moving,Unmarried,Black,Female,0,0,40,United-States,<=50K -39,Local-gov,67187,HS-grad,9,Never-married,Exec-managerial,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -43,State-gov,114508,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,204172,Bachelors,13,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -27,Local-gov,162973,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,56,United-States,<=50K -64,Self-emp-not-inc,192695,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,Canada,<=50K -41,Local-gov,89172,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -28,Private,163320,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -61,Private,128230,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -27,Private,246440,11th,7,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,50567,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K -20,Private,117476,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,315834,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1876,40,United-States,<=50K -28,Local-gov,214881,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,195516,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,218653,Bachelors,13,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,87205,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,20,United-States,>50K -40,Private,164647,Some-college,10,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,38,United-States,<=50K -19,Private,129151,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,319697,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -55,Self-emp-not-inc,193374,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Private,167864,Assoc-voc,11,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,197932,Some-college,10,Separated,Priv-house-serv,Not-in-family,White,Female,0,0,30,Guatemala,<=50K -51,Private,102904,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,43,United-States,<=50K -44,Private,216907,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,37,United-States,<=50K -35,Local-gov,331395,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,42,United-States,<=50K -40,Private,171424,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,35406,7th-8th,4,Separated,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -25,Private,238964,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -33,Private,213002,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,1408,36,United-States,<=50K -32,Private,27882,Some-college,10,Never-married,Machine-op-inspct,Other-relative,White,Female,0,2205,40,Holand-Netherlands,<=50K -22,Private,340543,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,70240,Some-college,10,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -18,Self-emp-not-inc,87169,HS-grad,9,Never-married,Farming-fishing,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -43,Private,253759,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,45,United-States,<=50K -46,Private,194431,HS-grad,9,Never-married,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K -63,Private,137843,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,48,United-States,>50K -40,?,170649,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -59,Private,182460,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -40,Local-gov,26929,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,399022,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -64,?,50171,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -36,Private,218490,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -48,Private,164423,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,124436,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -18,Private,60981,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -17,Private,70868,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,16,United-States,<=50K -36,Private,150601,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,<=50K -53,Private,228500,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -36,State-gov,76767,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,39,United-States,<=50K -20,Private,218178,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,615367,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -34,Private,150324,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -39,Private,51264,11th,7,Divorced,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -57,Private,197642,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,229895,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,167415,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -51,Private,166934,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -38,Private,305597,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -34,Private,301591,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,35,United-States,<=50K -47,Federal-gov,229646,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,Black,Female,0,0,40,Puerto-Rico,<=50K -28,Self-emp-not-inc,51461,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,206600,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,24,Nicaragua,<=50K -25,Private,176836,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -50,Private,204447,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,65,United-States,>50K -50,Private,33304,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,Private,174051,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -27,Private,38918,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,1876,75,United-States,<=50K -32,Private,170017,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -44,Private,98466,10th,6,Never-married,Farming-fishing,Unmarried,White,Male,0,0,35,United-States,<=50K -19,Private,188864,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,20,United-States,<=50K -53,Self-emp-inc,137815,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -21,Private,43475,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,557236,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -68,Private,32779,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,419,12,United-States,<=50K -31,Private,161765,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,2051,57,United-States,<=50K -32,Private,207668,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Male,0,2444,50,United-States,>50K -33,Private,171215,Masters,14,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -49,?,52590,HS-grad,9,Never-married,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K -24,Private,183751,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K -30,Private,149507,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,42,United-States,<=50K -49,Private,98092,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -18,Private,123714,11th,7,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -30,State-gov,190385,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K -51,Private,334273,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,343440,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,208302,HS-grad,9,Divorced,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K -23,Local-gov,280164,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,32,United-States,<=50K -23,Self-emp-not-inc,174714,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -36,Private,184655,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -19,Private,140459,11th,7,Never-married,Craft-repair,Other-relative,White,Male,0,0,25,United-States,<=50K -53,Self-emp-not-inc,108815,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -17,Private,152652,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -69,Private,269499,HS-grad,9,Widowed,Handlers-cleaners,Not-in-family,White,Female,0,0,8,United-States,<=50K -46,Local-gov,33373,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,243674,HS-grad,9,Separated,Tech-support,Not-in-family,White,Male,0,0,46,United-States,<=50K -40,Private,225432,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -56,Private,215839,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,?,<=50K -29,Local-gov,195520,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,70092,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -22,Private,189888,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -28,Private,64307,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,94235,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K -35,Private,62333,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,260997,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -17,Private,146268,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -39,Private,147258,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Self-emp-not-inc,207948,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -50,Private,180607,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -56,Local-gov,104996,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -80,Self-emp-not-inc,562336,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -38,Self-emp-not-inc,334366,Some-college,10,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,15,United-States,<=50K -52,State-gov,142757,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K -26,Local-gov,220656,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Male,0,0,38,England,<=50K -43,Private,96483,HS-grad,9,Divorced,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,40,South,<=50K -45,Private,51744,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,42,United-States,<=50K -41,Self-emp-inc,114967,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -30,Private,393965,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -24,Private,41838,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2407,0,40,United-States,<=50K -43,Local-gov,143046,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -44,Private,209174,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -54,Private,183248,HS-grad,9,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -23,Private,102942,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,2258,40,United-States,>50K -33,Self-emp-not-inc,427474,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -18,Private,338632,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -38,Private,89559,Some-college,10,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,Germany,<=50K -41,Self-emp-not-inc,32533,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -22,?,255969,12th,8,Never-married,?,Not-in-family,White,Male,0,0,48,United-States,<=50K -66,Self-emp-inc,112376,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -70,?,346053,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -58,Self-emp-not-inc,147653,10th,6,Married-civ-spouse,Craft-repair,Wife,White,Female,0,1977,35,?,>50K -60,Self-emp-not-inc,44915,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,10,United-States,<=50K -24,Local-gov,111450,10th,6,Never-married,Craft-repair,Unmarried,Black,Male,0,0,65,Haiti,<=50K -61,Private,171429,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K -35,Local-gov,190964,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,109005,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -52,Private,404453,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,280169,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,50,United-States,>50K -39,Self-emp-not-inc,163204,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,192256,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -52,Private,181755,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,183105,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,44,Cuba,<=50K -37,Private,335168,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -38,Local-gov,86643,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -27,Private,180262,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,127865,Masters,14,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,146042,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,3103,0,60,United-States,>50K -49,Self-emp-not-inc,102110,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,30,United-States,>50K -38,Private,152237,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,?,>50K -22,Private,202745,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,55,United-States,<=50K -40,Federal-gov,199303,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,Private,266467,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Federal-gov,345259,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,99,United-States,<=50K -24,Private,204935,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,56,United-States,<=50K -58,Federal-gov,244830,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,4787,0,40,United-States,>50K -24,Private,190457,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -43,Private,180138,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -38,Private,166585,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -42,Private,29962,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,191129,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,378707,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -37,Private,116358,HS-grad,9,Never-married,Craft-repair,Other-relative,Amer-Indian-Eskimo,Male,27828,0,48,United-States,>50K -48,Private,240629,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K -40,Private,233320,7th-8th,4,Separated,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -50,Self-emp-inc,302708,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,7688,0,50,Japan,>50K -57,Private,29375,HS-grad,9,Separated,Sales,Not-in-family,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K -36,Local-gov,137314,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K -41,Private,140886,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -90,Private,226968,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -66,Private,151793,7th-8th,4,Widowed,Other-service,Not-in-family,Black,Female,0,0,10,United-States,<=50K -34,Self-emp-not-inc,56460,HS-grad,9,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,2179,12,United-States,<=50K -23,Private,72887,HS-grad,9,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,1,Vietnam,<=50K -35,Private,261646,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,55,United-States,<=50K -32,Private,178615,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2407,0,40,United-States,<=50K -33,Private,295589,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,50,United-States,>50K -32,Self-emp-inc,377836,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,56510,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,337696,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -40,Private,183765,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -27,Self-emp-not-inc,107846,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,30,United-States,<=50K -34,Local-gov,22641,HS-grad,9,Never-married,Protective-serv,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -35,Private,204590,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,>50K -29,Private,114801,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,190591,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -33,State-gov,220066,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,48,United-States,>50K -22,?,228480,HS-grad,9,Married-civ-spouse,?,Own-child,White,Female,0,0,20,United-States,<=50K -52,Private,128378,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,Private,157595,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Local-gov,152171,11th,7,Never-married,Protective-serv,Own-child,White,Male,0,0,10,United-States,<=50K -63,Private,339755,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,>50K -49,Private,240841,7th-8th,4,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -58,Private,94345,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -23,Self-emp-not-inc,289116,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K -59,Private,176647,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -49,Self-emp-not-inc,79627,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -23,Local-gov,210781,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K -17,?,161981,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,493443,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,86459,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K -64,Private,312242,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,3,United-States,<=50K -34,Private,185408,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -63,Private,101077,Assoc-acdm,12,Married-spouse-absent,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,<=50K -51,Private,147200,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -40,State-gov,166327,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,35,United-States,<=50K -55,Private,178644,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -35,Private,126675,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,46,?,<=50K -30,Private,158420,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,25,United-States,<=50K -47,?,83046,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,18,United-States,<=50K -29,Private,46609,10th,6,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,?,<=50K -17,?,170320,11th,7,Never-married,?,Own-child,White,Female,0,0,8,United-States,<=50K -32,Self-emp-not-inc,37232,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K -55,Private,141877,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -47,Local-gov,81654,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,56,United-States,>50K -50,Private,177705,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,124792,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,7688,0,45,United-States,>50K -32,Self-emp-not-inc,129497,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -60,Private,114413,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -53,Private,189511,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,111625,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Male,8614,0,40,United-States,>50K -45,Private,246431,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -31,Private,147654,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,443546,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,281751,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -28,Private,263128,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -26,Private,292692,12th,8,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -47,Self-emp-inc,96798,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,>50K -34,Private,430554,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -42,Private,317078,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -48,Private,108557,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,99999,0,40,United-States,>50K -32,Private,207400,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Private,187089,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,42,United-States,>50K -46,Local-gov,398986,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,52,United-States,>50K -38,Private,238980,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -49,?,407495,HS-grad,9,Married-spouse-absent,?,Not-in-family,White,Male,0,0,70,United-States,<=50K -35,Private,183800,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -61,?,226989,HS-grad,9,Divorced,?,Not-in-family,White,Male,4865,0,40,United-States,<=50K -45,Private,287190,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,Black,Male,0,0,35,United-States,<=50K -31,Private,111363,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Self-emp-inc,260938,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -20,Private,183594,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K -64,?,49194,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -20,?,117618,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,172496,Masters,14,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Private,389713,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -23,Private,174413,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,State-gov,189843,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,198546,Masters,14,Widowed,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -21,Private,82497,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -23,Private,193090,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -79,Private,172220,7th-8th,4,Widowed,Priv-house-serv,Not-in-family,White,Female,2964,0,30,United-States,<=50K -55,Private,208451,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -42,?,234277,HS-grad,9,Married-spouse-absent,?,Not-in-family,White,Male,0,0,35,United-States,<=50K -60,Private,163729,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,2597,0,40,United-States,<=50K -37,Private,434097,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -47,Private,192053,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,1590,40,United-States,<=50K -20,State-gov,178628,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -53,Private,96827,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Canada,<=50K -34,Private,154667,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -43,Private,160246,Some-college,10,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -24,Self-emp-not-inc,166036,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -23,Private,186813,HS-grad,9,Never-married,Protective-serv,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -29,Private,162312,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,Other,Male,0,0,40,United-States,<=50K -58,Private,183893,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -55,?,270228,Assoc-acdm,12,Married-civ-spouse,?,Husband,Black,Male,7688,0,40,United-States,>50K -40,Private,111829,Masters,14,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -43,Federal-gov,175669,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -25,State-gov,104097,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Local-gov,117618,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,24,United-States,<=50K -34,Self-emp-inc,202450,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,109570,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -60,Private,101096,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,65,United-States,>50K -39,Private,236391,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -21,Private,136975,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,167523,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2179,45,United-States,<=50K -33,Private,240979,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,248612,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,>50K -39,Private,151023,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,114,0,45,United-States,<=50K -29,Private,236436,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,8614,0,40,United-States,>50K -29,?,153167,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K -52,Private,61735,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,243165,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,>50K -24,Private,388885,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,48,United-States,<=50K -77,Self-emp-inc,84979,Doctorate,16,Married-civ-spouse,Farming-fishing,Husband,White,Male,20051,0,40,United-States,>50K -34,Self-emp-not-inc,87209,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -53,Self-emp-not-inc,168539,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -31,Private,179013,HS-grad,9,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -58,Private,196643,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K -50,Self-emp-not-inc,68898,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,7688,0,55,United-States,>50K -32,Private,156464,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,35884,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,182714,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -77,Private,344425,9th,5,Married-civ-spouse,Priv-house-serv,Wife,Black,Female,0,0,10,United-States,<=50K -37,Self-emp-not-inc,177277,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,70767,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -33,Self-emp-not-inc,520078,Assoc-acdm,12,Divorced,Sales,Unmarried,Black,Male,0,0,60,United-States,<=50K -53,Local-gov,321770,HS-grad,9,Married-spouse-absent,Transport-moving,Other-relative,White,Female,0,0,35,United-States,<=50K -32,Private,158416,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -30,Private,312667,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,208656,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,594,0,20,United-States,<=50K -33,Private,31481,Bachelors,13,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K -31,Private,259531,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,186239,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -19,Private,162954,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -27,Private,249315,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -21,Private,308237,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -24,Private,103064,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,185847,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,54,United-States,<=50K -31,Private,168521,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -60,Private,198170,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -21,Private,353628,10th,6,Separated,Sales,Unmarried,Black,Female,0,0,38,United-States,<=50K -38,?,273285,11th,7,Never-married,?,Not-in-family,White,Female,0,0,32,United-States,<=50K -31,Private,272069,Assoc-voc,11,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,22328,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -46,Private,309212,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,25,United-States,<=50K -25,Self-emp-inc,148888,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -23,Local-gov,324637,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K -53,Self-emp-inc,55139,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -42,?,212206,Masters,14,Married-civ-spouse,?,Wife,White,Female,0,1887,48,United-States,>50K -29,Private,119004,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,2179,40,United-States,<=50K -45,Private,252079,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -70,Private,315868,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Self-emp-inc,392325,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,60,United-States,>50K -40,State-gov,174283,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,50,United-States,>50K -17,Private,126832,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -18,Private,126071,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,265706,Masters,14,Never-married,Sales,Unmarried,White,Male,0,0,60,United-States,>50K -41,Private,282964,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,328518,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,State-gov,283499,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,286675,Some-college,10,Never-married,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,<=50K -56,Private,136472,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,48,United-States,<=50K -36,Private,132879,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,45,United-States,<=50K -26,Private,314798,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -62,Private,143943,Bachelors,13,Widowed,Tech-support,Unmarried,White,Female,0,0,7,United-States,<=50K -35,Private,134367,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Local-gov,366796,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,195573,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,33616,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -31,Private,164190,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,380281,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,25,Columbia,<=50K -58,Self-emp-inc,190763,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -55,Local-gov,209535,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -54,Private,156003,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,55699,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,3908,0,40,United-States,<=50K -28,Private,183151,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,7688,0,40,United-States,>50K -40,Private,198790,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,United-States,<=50K -33,Self-emp-not-inc,272359,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,80,United-States,>50K -27,Private,236481,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,10,India,<=50K -55,Private,143266,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,0,0,25,United-States,<=50K -53,Private,192386,HS-grad,9,Separated,Transport-moving,Unmarried,White,Male,0,0,45,United-States,<=50K -23,Private,99543,12th,8,Never-married,Transport-moving,Not-in-family,White,Male,0,0,46,United-States,<=50K -66,Private,169435,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,16,United-States,<=50K -34,Self-emp-not-inc,34572,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -39,Private,119272,10th,6,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,211601,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -26,Private,154785,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,Other,Female,0,0,35,United-States,<=50K -21,Private,213041,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Cuba,<=50K -59,Private,229939,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,175331,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,226443,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -22,Private,46561,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,161311,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,30,United-States,<=50K -50,Private,98215,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -67,Private,118363,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,2206,5,United-States,<=50K -59,Local-gov,181242,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,356238,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Female,0,0,80,United-States,>50K -56,Self-emp-not-inc,39380,Some-college,10,Married-spouse-absent,Farming-fishing,Not-in-family,White,Female,27828,0,20,United-States,>50K -28,Private,315287,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,40,?,<=50K -34,Private,269723,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,2977,0,50,United-States,<=50K -63,Private,34098,10th,6,Widowed,Farming-fishing,Unmarried,White,Female,0,0,56,United-States,<=50K -48,Private,50880,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,<=50K -41,Federal-gov,356934,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K -26,Private,276309,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,20,United-States,<=50K -47,Private,175925,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,2179,52,United-States,<=50K -29,Self-emp-not-inc,164607,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,224462,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,92863,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -27,Private,179565,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K -59,Self-emp-not-inc,31137,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -19,Private,199495,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,175262,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K -37,Private,220585,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Local-gov,231793,Doctorate,16,Married-spouse-absent,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K -34,Federal-gov,191342,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,38,United-States,<=50K -30,Private,186420,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,35,United-States,<=50K -30,Private,328242,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Hong,>50K -56,Private,279340,11th,7,Separated,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -19,Private,174478,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -37,Private,151771,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,145636,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,43,United-States,>50K -21,Private,120326,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -34,Self-emp-not-inc,246439,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -27,Private,144133,Bachelors,13,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,0,0,50,United-States,<=50K -44,Local-gov,145522,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,312055,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,235847,Some-college,10,Never-married,Exec-managerial,Other-relative,White,Female,0,0,50,United-States,<=50K -37,Private,187748,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,396482,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K -49,Private,261688,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,60,United-States,<=50K -20,Private,39477,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -37,Private,143058,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,216867,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,Mexico,<=50K -44,Private,230592,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,35,United-States,<=50K -30,Local-gov,40338,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Local-gov,115457,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,374983,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,285419,12th,8,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,?,385901,Some-college,10,Never-married,?,Own-child,White,Male,0,0,22,United-States,<=50K -45,State-gov,187581,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -38,Self-emp-inc,299036,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -42,Private,68729,Some-college,10,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -27,Private,333990,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -20,Private,117767,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K -43,Private,184378,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -21,Private,232591,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,143851,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,89622,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,80,United-States,>50K -34,Private,202498,12th,8,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Dominican-Republic,<=50K -72,Private,268861,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,99,?,<=50K -54,Private,343242,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K -30,Private,460408,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -63,Private,205246,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -36,Private,230329,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -25,Private,197871,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -72,?,201375,Assoc-acdm,12,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Private,194290,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,191814,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -41,Private,95168,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -20,?,137876,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,386136,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -71,?,108390,Some-college,10,Married-civ-spouse,?,Husband,White,Male,3432,0,20,United-States,<=50K -41,Private,152529,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -35,Private,214891,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Other,Male,0,0,40,Dominican-Republic,<=50K -18,Private,133654,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,147548,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -57,Private,73051,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -56,Self-emp-not-inc,60166,1st-4th,2,Never-married,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Male,0,0,65,United-States,<=50K -25,Self-emp-inc,454934,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -64,?,338355,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,0,15,United-States,<=50K -35,Self-emp-not-inc,185621,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -61,Private,101500,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -36,State-gov,36397,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K -18,Private,276540,12th,8,Never-married,Sales,Own-child,Black,Female,0,0,15,United-States,<=50K -21,Private,293968,Some-college,10,Married-spouse-absent,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -43,?,35523,Assoc-acdm,12,Divorced,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -32,Local-gov,186993,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,232132,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -48,Private,176917,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -40,Private,105936,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,105821,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K -22,?,34506,Some-college,10,Separated,?,Unmarried,White,Female,0,0,25,United-States,<=50K -42,Private,178074,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -60,?,116961,7th-8th,4,Widowed,?,Unmarried,White,Female,0,0,20,United-States,<=50K -34,Private,191930,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -27,Private,130807,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,94100,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,65,United-States,<=50K -65,Self-emp-not-inc,144822,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -61,Self-emp-inc,102191,Masters,14,Widowed,Exec-managerial,Unmarried,White,Female,0,0,99,United-States,<=50K -18,Private,90934,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,28,United-States,<=50K -49,?,296892,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -48,Private,173243,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -26,Private,258768,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,2174,0,75,United-States,<=50K -30,Private,189759,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -68,Self-emp-not-inc,69249,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -23,Private,133061,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,<=50K -65,Self-emp-not-inc,175202,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,24,United-States,<=50K -32,Private,27051,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,44,United-States,<=50K -44,Private,60414,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -48,Local-gov,317360,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -24,Private,258298,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -58,Private,174040,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Local-gov,177566,Some-college,10,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,50,Germany,<=50K -54,Private,162238,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -35,Private,87556,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -35,Private,144322,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -24,Private,190015,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,183173,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K -38,Self-emp-not-inc,151322,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Local-gov,47392,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Private,107125,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -49,Private,265295,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,189219,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,16,United-States,<=50K -56,Private,147989,Some-college,10,Married-spouse-absent,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,185732,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,153516,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,?,191910,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K -33,Private,216145,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,202872,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,12,United-States,<=50K -62,Self-emp-not-inc,39630,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K -24,?,114292,9th,5,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -26,Local-gov,206721,Bachelors,13,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,358585,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,>50K -33,Private,377283,Bachelors,13,Separated,Sales,Not-in-family,White,Female,0,0,50,United-States,>50K -65,?,76043,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,1,United-States,>50K -65,Without-pay,172949,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,2414,0,20,United-States,<=50K -46,Private,110171,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -43,Local-gov,223861,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,163455,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -35,Private,183892,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,47022,HS-grad,9,Widowed,Handlers-cleaners,Other-relative,White,Female,0,0,48,United-States,<=50K -55,Federal-gov,145401,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -45,Private,387074,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,105363,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,4508,0,40,United-States,<=50K -59,Federal-gov,195467,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Local-gov,170217,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,156807,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,10,United-States,<=50K -26,Private,255193,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,3411,0,40,United-States,<=50K -38,Private,273640,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,191177,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -48,Self-emp-inc,184787,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -37,State-gov,239409,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -63,Self-emp-not-inc,404547,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -27,State-gov,23740,HS-grad,9,Never-married,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Male,0,0,38,United-States,>50K -20,Private,382153,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K -26,Private,164488,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -21,?,228424,10th,6,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,168539,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,189530,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -39,Private,89419,Assoc-voc,11,Divorced,Other-service,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,Columbia,<=50K -35,Private,224512,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -21,?,314645,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,43,United-States,<=50K -65,Private,85787,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,Local-gov,279881,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -39,Private,194287,7th-8th,4,Never-married,Other-service,Own-child,White,Male,0,1602,35,United-States,<=50K -24,Private,141040,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -36,Private,222294,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -70,?,410980,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,>50K -52,Private,38795,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -64,Private,182979,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,223277,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,67065,Assoc-voc,11,Never-married,Priv-house-serv,Not-in-family,White,Male,594,0,25,United-States,<=50K -47,Federal-gov,160647,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,45796,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,110597,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -33,Private,166961,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -52,Private,318975,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,Cuba,<=50K -49,Private,305657,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,120857,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,18,United-States,<=50K -62,Self-emp-not-inc,158712,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,6,United-States,<=50K -44,Private,304530,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K -28,Local-gov,327533,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,3908,0,40,United-States,<=50K -68,Local-gov,233954,Masters,14,Widowed,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,>50K -40,Federal-gov,26880,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Private,70754,7th-8th,4,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -22,Private,184665,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -37,Self-emp-not-inc,245372,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Male,0,0,15,United-States,<=50K -62,Private,252668,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,<=50K -37,Private,86551,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -35,Private,241998,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,4787,0,40,United-States,>50K -44,Private,106900,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,68,United-States,<=50K -41,Private,204235,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -36,Local-gov,127772,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -26,Private,117217,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K -48,Federal-gov,215389,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -21,Private,198050,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K -39,Private,173476,Prof-school,15,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -38,Private,217349,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,14344,0,40,United-States,>50K -44,Private,377018,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -56,Private,99894,10th,6,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,0,30,Japan,>50K -25,Private,170786,9th,5,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K -32,Local-gov,250585,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -47,Private,198769,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K -26,Private,306513,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,178623,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,14084,0,60,United-States,>50K -23,Private,109307,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -41,Federal-gov,106982,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K -55,Self-emp-not-inc,396878,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,25,United-States,<=50K -23,Private,344278,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,25,United-States,<=50K -45,Private,203653,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,7298,0,40,United-States,>50K -42,Local-gov,227890,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,40,United-States,<=50K -29,Private,107812,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,15,United-States,<=50K -48,Private,185143,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,143068,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -52,Self-emp-inc,114758,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -46,Private,266337,Assoc-voc,11,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -34,Private,321787,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -27,State-gov,21306,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Germany,<=50K -18,Private,271935,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -18,Private,148952,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -42,Private,196626,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -64,?,108082,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,199439,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -20,?,304076,11th,7,Never-married,?,Own-child,Black,Female,0,0,20,United-States,<=50K -52,Self-emp-inc,81436,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -44,Self-emp-inc,352971,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -53,Private,375134,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -36,Private,206521,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -27,Private,330466,Bachelors,13,Never-married,Tech-support,Other-relative,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -52,Private,208302,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K -60,Self-emp-not-inc,135285,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,171615,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -64,Self-emp-not-inc,149698,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -25,Private,71351,1st-4th,2,Never-married,Other-service,Other-relative,White,Male,0,0,25,El-Salvador,<=50K -63,Private,84737,7th-8th,4,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K -54,Local-gov,375134,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,207103,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,199314,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,Poland,<=50K -63,Self-emp-not-inc,289741,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,41310,0,50,United-States,<=50K -37,Private,240837,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -22,Private,283499,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,35,United-States,<=50K -54,Private,97778,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,21698,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -60,Local-gov,232618,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,175820,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -25,Local-gov,63996,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Local-gov,182985,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -47,Federal-gov,380127,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Self-emp-not-inc,111483,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -18,?,31008,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -57,Private,96346,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,57,United-States,<=50K -22,Private,317528,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,34,United-States,<=50K -36,State-gov,223020,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -33,?,173998,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,1485,38,United-States,<=50K -39,Private,115076,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,133969,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,50,United-States,>50K -41,Private,173858,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -35,Private,193241,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K -40,Self-emp-inc,50644,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Female,1506,0,40,United-States,<=50K -30,Private,178841,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,177017,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,1504,37,United-States,<=50K -25,Private,253267,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,1902,36,United-States,>50K -37,Private,202027,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,50,United-States,>50K -53,Self-emp-not-inc,321865,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K -34,Self-emp-not-inc,321709,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K -22,Private,166371,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,?,<=50K -18,Private,210574,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -52,?,92968,Masters,14,Married-civ-spouse,?,Wife,White,Female,15024,0,40,United-States,>50K -45,Private,474617,HS-grad,9,Divorced,Sales,Unmarried,Black,Male,5455,0,40,United-States,<=50K -19,Private,264390,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,2001,40,United-States,<=50K -33,Self-emp-inc,144949,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K -45,State-gov,90803,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -43,State-gov,126701,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -40,Private,178417,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -41,Self-emp-not-inc,197176,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,75,United-States,>50K -25,Private,182227,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1579,40,United-States,<=50K -22,Private,117606,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,32,United-States,<=50K -52,Private,349502,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,45,United-States,<=50K -45,Federal-gov,81487,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Puerto-Rico,>50K -32,State-gov,169583,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,70,United-States,<=50K -26,Private,485117,Bachelors,13,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K -24,Private,35603,Some-college,10,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -37,Private,175390,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -49,Private,184986,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Local-gov,174395,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,187711,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,189878,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -17,Private,224073,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -48,Private,159726,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K -40,?,65545,Masters,14,Divorced,?,Own-child,White,Female,0,0,55,United-States,<=50K -26,Private,456618,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,2597,0,40,United-States,<=50K -35,Private,202397,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -21,Private,206681,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -54,Private,222020,10th,6,Divorced,Other-service,Not-in-family,White,Male,0,0,70,United-States,<=50K -40,Private,137304,Bachelors,13,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -51,Private,141645,Some-college,10,Separated,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -60,Self-emp-not-inc,218085,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,50,United-States,<=50K -22,Private,52596,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,8,United-States,<=50K -20,Private,197997,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,191444,11th,7,Never-married,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K -21,Private,40767,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,172577,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,44,United-States,<=50K -36,Private,241998,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -65,State-gov,215908,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,2174,40,United-States,>50K -48,Private,212120,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -37,Private,109133,Masters,14,Separated,Exec-managerial,Not-in-family,White,Male,27828,0,60,Iran,>50K -20,Private,224424,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -41,State-gov,214985,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Self-emp-not-inc,147098,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -39,Local-gov,149833,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Federal-gov,253770,Some-college,10,Married-civ-spouse,Transport-moving,Wife,White,Female,7298,0,40,United-States,>50K -80,Private,252466,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,24,United-States,<=50K -59,State-gov,132717,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,138944,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -39,Private,280570,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,50,United-States,>50K -56,Self-emp-not-inc,144380,Some-college,10,Married-spouse-absent,Prof-specialty,Not-in-family,Black,Male,0,0,50,United-States,<=50K -69,Local-gov,660461,HS-grad,9,Widowed,Adm-clerical,Not-in-family,Black,Female,0,0,20,United-States,<=50K -49,Private,177211,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -33,Private,197424,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,40,United-States,<=50K -28,Self-emp-inc,31717,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -49,Private,296849,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -51,Local-gov,193720,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -42,Private,106698,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -66,Private,214469,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,13,United-States,<=50K -44,Private,185798,Assoc-voc,11,Separated,Craft-repair,Other-relative,White,Male,0,0,48,United-States,>50K -26,Private,333108,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,35210,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,140845,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,155,40,United-States,<=50K -25,?,335376,Bachelors,13,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -17,Private,170455,11th,7,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K -52,Private,298215,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -34,?,93834,HS-grad,9,Separated,?,Own-child,White,Female,0,0,8,United-States,<=50K -24,Private,404416,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,?,206916,Bachelors,13,Married-spouse-absent,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -65,Private,143175,Some-college,10,Widowed,Sales,Other-relative,White,Female,0,0,45,United-States,<=50K -36,Self-emp-not-inc,409189,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -19,Private,285750,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,30,United-States,<=50K -43,Private,235556,Some-college,10,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,45,Mexico,<=50K -39,Local-gov,170382,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,England,>50K -48,Private,195437,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -50,Local-gov,191130,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -21,Private,231160,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -36,Private,47310,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -33,Private,214635,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,36,Haiti,<=50K -50,Federal-gov,65160,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -49,State-gov,423222,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,99999,0,80,United-States,>50K -34,Private,263307,Bachelors,13,Never-married,Sales,Unmarried,Black,Male,0,0,45,?,<=50K -70,Self-emp-inc,272896,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -39,Private,232854,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,442035,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,127875,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -40,Private,283724,9th,5,Never-married,Craft-repair,Other-relative,Black,Male,0,0,49,United-States,<=50K -46,Private,403911,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,1902,40,United-States,>50K -21,?,228649,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -40,Private,177027,Bachelors,13,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,7688,0,52,Japan,>50K -47,Private,249935,11th,7,Divorced,Craft-repair,Own-child,White,Male,0,0,8,United-States,<=50K -19,Private,533147,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K -22,Private,137862,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,16,United-States,<=50K -20,Private,249543,Some-college,10,Never-married,Protective-serv,Own-child,White,Female,0,0,16,United-States,<=50K -46,Local-gov,230979,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,4787,0,25,United-States,>50K -41,Private,137126,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,45,United-States,>50K -17,Private,147339,10th,6,Never-married,Prof-specialty,Own-child,Other,Female,0,0,15,United-States,<=50K -41,Private,256647,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -28,Private,111696,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,1974,40,United-States,<=50K -20,?,150084,Some-college,10,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -24,Private,285457,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,303867,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -44,Federal-gov,113597,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -26,Self-emp-not-inc,151626,HS-grad,9,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,26145,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -24,Private,176189,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -58,Federal-gov,497253,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -41,Private,41090,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2002,60,United-States,<=50K -38,Self-emp-not-inc,282461,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K -21,Private,225541,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,203488,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K -23,?,296613,Some-college,10,Never-married,?,Own-child,White,Female,0,0,32,United-States,<=50K -40,Private,99373,10th,6,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Local-gov,109705,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,144947,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -38,Private,617898,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -50,Private,38310,7th-8th,4,Divorced,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -45,Private,248993,HS-grad,9,Married-spouse-absent,Farming-fishing,Other-relative,Black,Male,0,0,40,United-States,<=50K -65,?,149131,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,Italy,>50K -33,Private,69311,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Federal-gov,143766,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -65,Private,213477,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,28,United-States,<=50K -24,Private,275691,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,39,United-States,<=50K -26,Private,59367,Bachelors,13,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -55,Private,35551,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -66,Private,236784,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,8,Cuba,<=50K -43,Local-gov,193755,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,315291,Bachelors,13,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K -22,Private,290504,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,256240,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -69,?,199591,Prof-school,15,Married-civ-spouse,?,Wife,White,Female,0,0,25,?,<=50K -27,Private,178709,Masters,14,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,449354,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,4386,0,45,United-States,>50K -24,Private,187937,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -18,Never-worked,157131,11th,7,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K -53,Local-gov,188772,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -26,Private,157617,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Poland,<=50K -60,Private,96099,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -21,Private,122322,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,60,United-States,<=50K -39,Private,409189,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -45,Private,175925,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -76,Self-emp-not-inc,236878,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -19,Private,216647,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -34,Private,300681,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,Jamaica,>50K -54,Private,327769,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,194723,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Local-gov,31251,7th-8th,4,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,212506,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,23037,12th,8,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,29054,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,92733,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -21,State-gov,184678,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -37,Federal-gov,32528,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,England,>50K -63,Private,125954,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,2174,0,40,United-States,<=50K -35,Private,73715,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,209212,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,56,?,<=50K -41,Private,287037,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Self-emp-not-inc,64667,HS-grad,9,Divorced,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,60,Vietnam,<=50K -26,Self-emp-inc,366662,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -36,Local-gov,113337,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,42,United-States,>50K -47,Private,387468,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Scotland,>50K -51,Private,384248,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,50,United-States,<=50K -41,Private,332703,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Other,Female,0,625,40,United-States,<=50K -40,Private,198873,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,30,United-States,>50K -32,Private,317809,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,4064,0,50,United-States,<=50K -37,Local-gov,160910,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K -40,Self-emp-inc,182629,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Private,267652,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,410186,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,365411,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,<=50K -28,Private,205337,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -19,Self-emp-not-inc,100999,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -44,Private,197462,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,199143,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,7430,0,44,United-States,>50K -47,Private,191978,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Private,50178,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,72442,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -21,Private,248512,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,178140,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,>50K -58,Private,354024,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -35,Private,143589,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -35,Private,219902,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -29,Local-gov,419722,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,3674,0,40,United-States,<=50K -40,Private,154374,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -33,Private,132601,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -38,Self-emp-not-inc,29430,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -50,Self-emp-not-inc,30731,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -66,Private,210825,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -36,Local-gov,251091,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -33,Private,219034,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Federal-gov,35723,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -46,Private,358886,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,248708,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,?,77937,12th,8,Divorced,?,Not-in-family,White,Female,0,0,40,Canada,<=50K -30,Private,30063,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -29,Private,253799,12th,8,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,42,England,<=50K -60,?,41553,Some-college,10,Widowed,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -24,Private,59146,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K -42,Self-emp-not-inc,343609,Some-college,10,Separated,Other-service,Unmarried,Black,Female,0,0,50,United-States,<=50K -26,Private,216010,HS-grad,9,Separated,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -37,Private,164526,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,150958,5th-6th,3,Never-married,Farming-fishing,Unmarried,White,Male,0,0,48,Guatemala,<=50K -26,Private,244495,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -23,Private,199336,Assoc-voc,11,Never-married,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -60,Private,151369,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -49,Federal-gov,118701,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -46,Private,219611,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,184568,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Self-emp-not-inc,246891,Prof-school,15,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -70,Self-emp-inc,243436,9th,5,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -44,Local-gov,68318,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,55,United-States,<=50K -58,Private,56331,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,190591,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,Jamaica,<=50K -54,Private,140359,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,White,Female,0,3900,40,United-States,<=50K -42,Self-emp-inc,23510,Masters,14,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Male,0,2201,60,India,>50K -28,Private,122540,10th,6,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -65,Private,212562,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,20,United-States,<=50K -35,Self-emp-not-inc,112497,HS-grad,9,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,35,Ireland,<=50K -82,Private,147729,5th-6th,3,Widowed,Other-service,Unmarried,White,Male,0,0,20,United-States,<=50K -48,Self-emp-not-inc,296066,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -44,Private,148138,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,15024,0,40,Japan,>50K -68,Private,50351,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,6360,0,20,United-States,<=50K -42,Private,306496,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,210029,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,2001,37,United-States,<=50K -54,Private,163894,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -22,Private,113936,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,316820,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K -17,Private,53367,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -46,Self-emp-not-inc,95256,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -59,Private,127728,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -37,Private,66686,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -70,?,207627,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2228,0,24,United-States,<=50K -57,Self-emp-inc,199768,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,30,United-States,>50K -47,?,186805,HS-grad,9,Married-civ-spouse,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -31,Private,154297,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,24,United-States,<=50K -23,Private,103064,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -17,Private,93235,12th,8,Never-married,Other-service,Own-child,White,Female,0,1721,25,United-States,<=50K -63,Private,440607,Preschool,1,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,30,Mexico,<=50K -44,Private,212894,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K -30,Private,167990,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -23,Private,378460,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -44,Private,151089,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,60,United-States,>50K -24,Private,153583,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -34,Private,114639,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,20,United-States,<=50K -37,Private,344480,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K -24,Private,188300,11th,7,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,105938,HS-grad,9,Divorced,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -42,Self-emp-not-inc,217826,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,25,Jamaica,<=50K -20,Private,379525,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -34,State-gov,177331,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,4386,0,40,United-States,>50K -37,Private,127918,Some-college,10,Never-married,Transport-moving,Unmarried,White,Female,0,0,20,Puerto-Rico,<=50K -47,Federal-gov,27067,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,250038,9th,5,Never-married,Farming-fishing,Other-relative,White,Male,0,0,45,Mexico,<=50K -36,Self-emp-not-inc,36270,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1977,65,United-States,>50K -60,Private,308608,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -64,Self-emp-inc,213574,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2635,0,10,United-States,<=50K -32,Local-gov,235109,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -33,State-gov,374905,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -71,Private,118876,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,14,United-States,<=50K -55,Local-gov,223716,Some-college,10,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -85,Self-emp-not-inc,166027,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -57,Self-emp-not-inc,275943,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K -39,Private,198654,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,2415,67,India,>50K -25,Private,109080,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,55,United-States,<=50K -58,Private,104333,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -57,Private,195876,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,390879,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,36,United-States,<=50K -19,Private,197748,11th,7,Divorced,Sales,Unmarried,White,Female,0,0,20,United-States,<=50K -40,Private,442045,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -28,Private,44216,HS-grad,9,Never-married,Protective-serv,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -43,Federal-gov,114537,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -40,?,253370,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,35,United-States,>50K -19,Private,274830,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -24,Private,321763,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,38,United-States,<=50K -34,Private,213226,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,>50K -22,Private,167787,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -64,Self-emp-not-inc,352712,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K -55,?,316027,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,?,<=50K -26,Private,213412,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -80,Private,202483,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,16,United-States,<=50K -79,Local-gov,146244,Doctorate,16,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -58,Self-emp-not-inc,450544,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -43,Private,81243,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Male,0,1876,40,United-States,<=50K -43,Private,195258,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -46,Private,57929,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K -35,Private,953588,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -51,Private,99064,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -52,Local-gov,194788,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,4787,0,60,United-States,>50K -43,Self-emp-inc,155293,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -68,Private,204082,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -34,State-gov,216283,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -37,Private,355856,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,>50K -22,Private,297380,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K -32,Private,425622,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -65,Self-emp-not-inc,145628,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,115549,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,60,United-States,<=50K -37,Private,245482,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -40,Self-emp-inc,142444,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -40,Private,134026,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -52,Private,177366,HS-grad,9,Separated,Other-service,Other-relative,White,Female,0,0,20,United-States,<=50K -35,Private,38245,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -62,Self-emp-not-inc,215944,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -49,Private,115784,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -49,Private,170165,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,White,Female,0,0,55,United-States,<=50K -47,Private,355320,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -45,Private,116163,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,405644,1st-4th,2,Married-spouse-absent,Farming-fishing,Other-relative,White,Male,0,0,77,Mexico,<=50K -36,Local-gov,223433,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,53,United-States,>50K -36,Private,41624,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,Mexico,<=50K -44,Private,151089,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K -51,State-gov,285747,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K -25,State-gov,108542,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,212318,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K -57,Private,173090,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,32,United-States,<=50K -46,Private,26781,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -59,Private,31782,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -28,Private,189241,11th,7,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,164229,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,2597,0,40,United-States,<=50K -35,Private,240467,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -27,Private,263614,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -29,Private,74500,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -43,Federal-gov,263502,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Federal-gov,47707,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -26,Private,231638,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -55,?,389479,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K -36,Private,111128,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,152307,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -23,?,280134,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,609789,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,?,<=50K -41,Private,184466,11th,7,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,55,United-States,<=50K -44,Private,216411,Assoc-voc,11,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,Dominican-Republic,<=50K -48,Self-emp-not-inc,324173,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -35,Local-gov,300681,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,7298,0,35,United-States,>50K -43,Local-gov,598995,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,42,United-States,<=50K -57,Federal-gov,140711,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -44,Local-gov,262241,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -28,Private,308136,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -55,Private,148590,10th,6,Widowed,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K -52,Private,195635,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2051,38,United-States,<=50K -30,Private,228406,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Private,136398,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,Thailand,>50K -21,?,305466,Some-college,10,Never-married,?,Own-child,White,Male,0,0,70,United-States,<=50K -50,Self-emp-inc,175070,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -43,Self-emp-not-inc,34007,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,>50K -33,Private,121195,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Other,Male,0,0,50,United-States,<=50K -23,Federal-gov,216853,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,25,United-States,<=50K -35,Private,81280,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,Yugoslavia,>50K -18,Private,212936,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -21,?,213055,Some-college,10,Never-married,?,Unmarried,Other,Female,0,0,40,United-States,<=50K -33,Local-gov,220430,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,70,United-States,>50K -30,Federal-gov,73514,Bachelors,13,Never-married,Exec-managerial,Other-relative,Asian-Pac-Islander,Female,0,0,45,United-States,<=50K -21,Private,307371,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,15,United-States,<=50K -36,Local-gov,380614,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,Germany,>50K -38,Private,119992,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,192002,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,Canada,>50K -24,Private,327518,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -24,Private,220323,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K -39,Private,421633,Some-college,10,Divorced,Protective-serv,Unmarried,Black,Female,0,0,30,United-States,<=50K -43,Private,154210,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,2829,0,60,China,<=50K -43,Self-emp-not-inc,35034,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,21,United-States,<=50K -62,?,378239,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,>50K -30,State-gov,270218,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -25,Private,254933,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,61751,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K -22,Private,137876,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,20,United-States,<=50K -73,Private,336007,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2246,40,United-States,>50K -26,Private,222539,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -24,Private,233856,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Male,0,0,45,United-States,<=50K -18,Private,198616,12th,8,Never-married,Craft-repair,Own-child,White,Male,594,0,20,United-States,<=50K -35,Private,202027,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,7298,0,35,United-States,>50K -22,Private,203182,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,43,United-States,<=50K -28,Private,221317,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -38,Private,186934,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -68,?,351402,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,70,United-States,<=50K -40,Local-gov,179580,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -32,Private,26803,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,84,United-States,>50K -42,Private,344624,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,50,United-States,>50K -31,State-gov,59969,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,<=50K -33,Private,162930,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,Italy,<=50K -54,Self-emp-not-inc,192654,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K -63,Private,117681,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,25,United-States,<=50K -67,Self-emp-not-inc,179285,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -47,Private,217161,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,14,United-States,<=50K -67,Self-emp-inc,116517,Bachelors,13,Widowed,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -33,Private,170336,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Other,Female,0,0,19,United-States,<=50K -33,Local-gov,256529,HS-grad,9,Separated,Other-service,Own-child,White,Female,0,0,80,United-States,<=50K -25,Local-gov,227886,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,141706,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,361888,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -54,Private,185407,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -35,Self-emp-not-inc,176101,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,>50K -18,Private,216730,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K -54,?,155755,HS-grad,9,Divorced,?,Not-in-family,White,Female,4416,0,25,United-States,<=50K -30,Private,609789,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,Mexico,<=50K -29,Private,136017,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K -41,Private,58880,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,10,United-States,>50K -40,Private,285787,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -46,Private,173243,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,5178,0,40,United-States,>50K -39,Private,160916,Assoc-acdm,12,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,45,United-States,<=50K -42,Private,227397,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -49,Self-emp-not-inc,111066,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -23,Private,189924,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -34,Private,31740,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,120837,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2042,48,United-States,<=50K -31,Private,172304,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -72,?,166253,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,2,United-States,<=50K -31,Private,86492,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,>50K -90,Private,206667,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -27,Self-emp-not-inc,153546,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -18,?,189041,HS-grad,9,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,115932,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,99999,0,50,United-States,>50K -27,Local-gov,151626,HS-grad,9,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -27,Self-emp-not-inc,37302,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,109001,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,195488,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,45,United-States,<=50K -43,Local-gov,216116,Masters,14,Separated,Prof-specialty,Unmarried,Black,Female,0,0,37,United-States,<=50K -26,Private,118497,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -48,Self-emp-not-inc,101233,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,<=50K -41,Private,349703,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -32,Private,226883,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,<=50K -23,Private,214635,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,169672,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K -42,Private,71458,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -27,State-gov,142621,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,4101,0,40,United-States,<=50K -34,Private,125279,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,197303,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -46,Local-gov,148995,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,4787,0,45,United-States,>50K -34,Private,69251,Some-college,10,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -39,Private,160123,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,137310,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,?,<=50K -25,Private,323229,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,138626,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,2174,0,50,United-States,<=50K -46,Private,102359,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,151888,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,4650,0,50,Ireland,<=50K -37,Private,404661,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -39,Private,99146,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -38,Self-emp-not-inc,185325,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -35,Self-emp-not-inc,230268,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -49,Self-emp-inc,38819,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -37,Private,380614,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,13,United-States,>50K -45,Private,319637,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -71,Private,149040,12th,8,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,320984,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -19,?,117201,Some-college,10,Never-married,?,Own-child,White,Male,0,0,22,United-States,<=50K -38,Private,81965,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Local-gov,182302,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,53434,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -48,Private,216214,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -56,Self-emp-inc,24127,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,54,United-States,>50K -32,Federal-gov,115066,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,120277,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -57,Self-emp-not-inc,134286,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K -55,Private,26716,10th,6,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -48,?,174533,11th,7,Separated,?,Unmarried,White,Male,0,0,40,United-States,<=50K -46,Self-emp-inc,175958,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,?,<=50K -36,Private,218948,9th,5,Separated,Other-service,Unmarried,Black,Female,0,0,40,?,<=50K -66,Private,117746,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -26,Private,206199,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -58,Self-emp-inc,89922,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -62,Private,69867,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -31,Private,109020,Bachelors,13,Never-married,Prof-specialty,Unmarried,Other,Male,0,0,40,United-States,<=50K -77,?,158847,Assoc-voc,11,Married-spouse-absent,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -25,Private,130302,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,156728,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,56,United-States,<=50K -33,Private,424719,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Federal-gov,217647,Some-college,10,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -20,Private,33087,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -40,Federal-gov,241895,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,38455,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Local-gov,81054,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,25,United-States,<=50K -44,Private,163215,12th,8,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,156728,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,127930,HS-grad,9,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K -46,Federal-gov,227310,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -24,Private,96844,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,17,United-States,<=50K -18,Private,245199,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,46385,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,186385,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,8,United-States,<=50K -55,Private,252714,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -68,Private,154897,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -41,Private,320744,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -50,Private,138852,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -48,Private,102092,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,?,32533,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,45,United-States,<=50K -45,Private,278151,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,338290,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,34378,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -43,Private,91959,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -36,Private,265881,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -60,Private,276009,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,30,Philippines,<=50K -27,Private,193898,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -36,Private,139364,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -47,State-gov,306473,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,37232,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,80,United-States,<=50K -19,State-gov,56424,12th,8,Never-married,Transport-moving,Own-child,Black,Male,0,0,20,United-States,<=50K -33,Private,165235,Bachelors,13,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Thailand,<=50K -34,Private,153326,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -33,Private,106976,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -57,Private,109015,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K -59,Private,154100,Masters,14,Never-married,Sales,Not-in-family,White,Female,27828,0,45,United-States,>50K -36,Private,183739,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,White,Female,0,2002,40,United-States,<=50K -60,Private,367695,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -33,Local-gov,156015,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,185132,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -20,Self-emp-not-inc,188274,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K -28,Local-gov,50512,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,2202,0,50,United-States,<=50K -24,State-gov,147719,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,20,India,<=50K -31,Private,414525,12th,8,Never-married,Farming-fishing,Not-in-family,Black,Male,0,0,60,United-States,<=50K -38,Private,289148,HS-grad,9,Married-spouse-absent,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Private,176069,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -55,State-gov,199713,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,United-States,<=50K -49,Private,297884,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4064,0,50,United-States,<=50K -33,Private,204829,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -52,Private,155433,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,?,<=50K -24,Local-gov,32950,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -46,Private,233511,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K -20,Private,210781,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -50,Private,190762,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -22,Private,83315,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -32,Self-emp-inc,343872,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,35,Haiti,<=50K -46,Private,185385,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K -62,?,302142,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2961,0,30,United-States,<=50K -39,Private,80324,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,62,United-States,>50K -26,Private,357933,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -20,Private,211293,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,14,United-States,<=50K -37,Self-emp-inc,199265,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -40,Private,202872,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,24,United-States,<=50K -22,Private,195075,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,38,United-States,<=50K -32,Private,317378,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,10520,0,40,United-States,>50K -41,Private,187802,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K -24,Private,97212,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -40,Private,47902,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -37,State-gov,76767,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,39,United-States,>50K -42,Private,172297,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,40,United-States,>50K -56,Private,274475,9th,5,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,105244,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -55,Local-gov,165695,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -29,Private,253801,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -37,Private,305597,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,Self-emp-not-inc,352448,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -26,Private,242768,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K -49,Self-emp-inc,201080,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K -18,Local-gov,159032,7th-8th,4,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,149568,9th,5,Never-married,Farming-fishing,Other-relative,Black,Male,0,0,40,United-States,<=50K -24,Private,229553,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,20,?,<=50K -24,State-gov,155775,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,120074,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Local-gov,257588,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,177907,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,65,United-States,<=50K -40,Private,309311,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,138975,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -43,Self-emp-not-inc,187778,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -19,Private,35865,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,35,United-States,<=50K -50,Private,234373,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1485,40,United-States,<=50K -17,?,151141,10th,6,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -39,Private,144688,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,50,United-States,<=50K -43,Private,248094,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -43,Private,248094,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,213821,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -31,State-gov,55849,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,121712,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Federal-gov,164552,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,1876,40,United-States,<=50K -55,Private,223127,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,190514,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,75,United-States,<=50K -29,Private,203797,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K -28,Private,378460,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,10520,0,60,United-States,>50K -30,Private,105908,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,232356,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1672,55,United-States,<=50K -23,Private,210526,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -71,Private,193530,11th,7,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,75,United-States,<=50K -22,?,22966,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K -21,Private,43535,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,?,72486,HS-grad,9,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,24,China,<=50K -22,?,229997,Some-college,10,Married-spouse-absent,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -49,Private,183013,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,113364,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,20,United-States,<=50K -27,Private,197380,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,298635,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Hong,>50K -26,Private,213385,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -30,?,108464,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,31007,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -26,Private,35917,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -45,Private,99385,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,Canada,<=50K -50,Private,48358,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -31,Private,241885,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,45,United-States,<=50K -51,Private,24344,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Private,149686,9th,5,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -24,State-gov,154432,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,35,United-States,<=50K -29,Private,331875,12th,8,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Dominican-Republic,<=50K -26,Private,259585,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,24,United-States,<=50K -51,Private,104748,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -32,Local-gov,144949,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -47,State-gov,199512,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -30,Private,302438,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,?,129155,11th,7,Widowed,?,Other-relative,Black,Female,0,0,40,United-States,<=50K -49,Federal-gov,115784,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,96509,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K -62,Private,226733,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -43,Self-emp-inc,244945,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -76,Private,243768,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,20,United-States,<=50K -40,?,351161,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,>50K -35,Private,186934,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -27,Private,89813,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -54,Self-emp-inc,129432,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -55,Self-emp-not-inc,184702,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,275291,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,12,United-States,<=50K -20,Private,258298,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -39,Private,139743,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -26,Private,102476,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,10520,0,64,United-States,>50K -20,Private,103840,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,42,United-States,<=50K -28,Private,274579,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -56,Federal-gov,156842,Some-college,10,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -39,Private,101020,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -44,Federal-gov,68729,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -55,Private,141326,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -54,Self-emp-not-inc,168723,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,347166,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,13550,0,45,United-States,>50K -34,Local-gov,213722,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,57,United-States,>50K -42,Private,196797,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Female,0,0,38,United-States,<=50K -50,Self-emp-inc,207246,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,75,United-States,<=50K -34,Federal-gov,199934,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -23,Private,272185,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,33,United-States,<=50K -27,?,190650,Bachelors,13,Never-married,?,Unmarried,Asian-Pac-Islander,Male,0,0,25,Philippines,<=50K -81,?,147097,Bachelors,13,Widowed,?,Not-in-family,White,Male,0,0,5,United-States,<=50K -47,Private,266281,11th,7,Never-married,Machine-op-inspct,Unmarried,Black,Female,6849,0,40,United-States,<=50K -57,Private,96779,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -65,?,117162,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,0,56,United-States,>50K -33,Private,188352,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,50,United-States,<=50K -37,Private,359131,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,48,United-States,<=50K -53,Private,198824,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -27,State-gov,68393,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,115613,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -42,Private,45363,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -39,Private,121590,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Male,4787,0,40,United-States,>50K -58,Local-gov,292379,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,482732,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,24,United-States,<=50K -19,Private,198663,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -39,Private,230329,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -51,Private,29887,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,44,United-States,<=50K -52,Private,194259,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,Germany,<=50K -53,Private,126368,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,>50K -50,Private,108446,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,220696,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,32008,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,72,United-States,<=50K -30,Private,191777,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,?,<=50K -50,Private,185846,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -76,Private,127016,7th-8th,4,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Self-emp-not-inc,102308,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2415,40,United-States,>50K -24,Private,157894,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -26,Private,345405,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,2885,0,40,United-States,<=50K -56,Self-emp-not-inc,94156,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -50,Private,145409,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -22,Private,190968,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2407,0,40,United-States,<=50K -23,Local-gov,212803,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -51,Private,168660,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -58,Private,234481,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,131461,9th,5,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,24,Haiti,<=50K -45,Private,408773,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -55,Self-emp-not-inc,126117,HS-grad,9,Widowed,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,155489,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -42,Private,296749,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -44,State-gov,185832,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,46,United-States,>50K -60,Private,43235,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -27,Private,213152,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Local-gov,334267,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -61,?,253101,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,24,United-States,<=50K -43,Private,64631,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -44,Local-gov,193882,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,1340,40,United-States,<=50K -63,Private,71800,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,41,United-States,<=50K -46,Local-gov,170092,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,43,United-States,<=50K -47,Private,198223,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,359796,Some-college,10,Divorced,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K -43,Private,110556,HS-grad,9,Separated,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -46,Private,196858,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -48,?,112860,10th,6,Married-civ-spouse,?,Wife,Black,Female,0,0,35,United-States,<=50K -61,Self-emp-not-inc,224784,Assoc-acdm,12,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,90,United-States,<=50K -53,Federal-gov,271544,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,1977,40,United-States,>50K -79,?,142171,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,1409,0,35,United-States,<=50K -44,Private,221172,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -54,Private,256916,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -22,Private,157332,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -47,Federal-gov,192894,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,>50K -18,Private,240183,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -25,Private,204338,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -24,Private,122166,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Iran,<=50K -37,Local-gov,397877,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -51,Private,115066,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,2547,40,United-States,>50K -35,Self-emp-not-inc,170174,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,60,United-States,>50K -59,Private,171015,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,34,United-States,<=50K -46,Private,91262,Some-college,10,Married-spouse-absent,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -45,Local-gov,127678,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K -19,Private,263338,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -22,Private,129508,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,28,United-States,<=50K -41,Private,192107,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,93930,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -26,Federal-gov,207537,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -22,Private,138542,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,35,United-States,<=50K -29,Self-emp-not-inc,116207,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K -22,Private,198244,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,39,United-States,<=50K -34,Private,90614,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,2042,10,United-States,<=50K -23,Private,211160,12th,8,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,194630,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,3781,0,50,United-States,<=50K -25,Private,161478,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -59,Private,144071,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -44,Private,167005,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,55,United-States,<=50K -55,Private,342121,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -77,Self-emp-not-inc,71676,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,1944,1,United-States,<=50K -42,Private,124692,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -47,Private,147236,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Private,145175,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,259323,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,154978,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Guatemala,<=50K -60,?,163946,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,127768,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,98588,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,192894,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -20,Private,194848,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,34446,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -23,Local-gov,177265,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,45,United-States,<=50K -30,Private,142977,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K -45,Private,241350,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,>50K -30,Private,154882,Prof-school,15,Widowed,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -17,Private,60562,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -22,Private,142566,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,176162,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -52,Private,186303,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,Canada,>50K -40,Private,237671,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -18,?,184416,10th,6,Never-married,?,Own-child,Black,Male,0,0,30,United-States,<=50K -58,Private,68624,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -30,Private,229504,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -59,Private,340591,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3942,0,40,United-States,<=50K -29,Private,262208,Some-college,10,Never-married,Other-service,Not-in-family,Black,Female,0,0,30,Jamaica,<=50K -26,Private,236008,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Local-gov,214284,Bachelors,13,Widowed,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,10,Japan,<=50K -33,Private,169496,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -21,?,205940,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,195179,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,24,United-States,<=50K -25,Private,469697,Some-college,10,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -19,?,140242,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -44,Private,214415,Some-college,10,Separated,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Private,452283,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,244172,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,231972,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -37,Private,412296,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Mexico,>50K -32,Private,30497,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -52,Self-emp-not-inc,189216,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K -36,Private,268292,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,United-States,<=50K -38,Private,69306,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -57,State-gov,111224,Bachelors,13,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,39,United-States,<=50K -22,State-gov,309348,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K -80,?,174995,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,Canada,<=50K -20,Private,210781,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -40,Private,286750,11th,7,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,36,United-States,<=50K -36,Self-emp-not-inc,321274,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,192936,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Private,72743,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -43,Private,187861,HS-grad,9,Separated,Transport-moving,Unmarried,White,Female,0,0,44,United-States,<=50K -35,Private,179579,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,663394,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K -27,Private,302422,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -24,?,154373,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,25,United-States,<=50K -49,Local-gov,37353,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -26,Self-emp-not-inc,109609,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -47,Private,184402,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K -20,Private,224640,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,405526,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,36385,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,2258,50,United-States,<=50K -20,Private,147884,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,164231,11th,7,Separated,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K -25,Private,383306,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,417668,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,36,United-States,<=50K -25,Private,161007,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -63,State-gov,99823,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,32,United-States,<=50K -25,Private,37379,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,50,United-States,<=50K -28,Private,148645,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -39,Private,180477,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K -28,Private,123147,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,4865,0,40,United-States,<=50K -30,Private,111415,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -41,Local-gov,107327,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Local-gov,146565,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,4865,0,30,United-States,<=50K -36,Private,267556,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4064,0,40,United-States,<=50K -47,Private,284871,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K -27,Private,194690,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,50,Mexico,<=50K -32,Federal-gov,145983,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K -52,Private,163998,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,99999,0,45,United-States,>50K -50,Private,128478,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -21,Private,250647,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,30,Nicaragua,<=50K -60,Private,226949,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,37,United-States,<=50K -47,Private,157901,11th,7,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,0,0,36,United-States,<=50K -54,Self-emp-not-inc,33863,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -32,Local-gov,40444,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -61,Private,54373,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,52753,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1504,40,United-States,<=50K -29,Self-emp-not-inc,104423,Some-college,10,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,4386,0,45,United-States,>50K -36,Local-gov,305714,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,70,United-States,<=50K -38,Local-gov,167440,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K -59,Private,291529,10th,6,Widowed,Machine-op-inspct,Not-in-family,White,Male,0,0,52,United-States,<=50K -43,Private,243380,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,38619,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,10,United-States,<=50K -42,Private,230684,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,40,United-States,<=50K -33,Private,132601,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -47,Private,193285,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,5013,0,40,United-States,<=50K -51,Private,279156,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -28,Private,339372,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,Private,101265,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,43,United-States,<=50K -23,Private,117789,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -31,Private,312667,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,255503,11th,7,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K -21,Private,221955,9th,5,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -22,Private,139190,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -35,Private,185556,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -53,Federal-gov,84278,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -40,Private,114580,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,24,United-States,>50K -36,Private,185405,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -33,Self-emp-not-inc,199539,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -23,Private,346480,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -51,Local-gov,349431,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,United-States,>50K -31,Private,219619,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,48,United-States,<=50K -28,Local-gov,127491,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,5721,0,40,United-States,<=50K -26,Self-emp-not-inc,253899,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,155232,Bachelors,13,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,60,United-States,>50K -43,Private,182437,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -19,Private,530454,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -46,Private,101430,11th,7,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -49,Local-gov,358668,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -31,Private,90668,10th,6,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,126141,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -41,Private,238355,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -22,Private,194031,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -25,Private,117833,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1876,40,United-States,<=50K -46,Private,249686,Prof-school,15,Separated,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -44,Self-emp-not-inc,219591,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,221757,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,80625,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,185407,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -34,Private,163110,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -34,?,24504,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,159187,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,55,United-States,>50K -21,Private,100462,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Female,2174,0,60,United-States,<=50K -27,Private,192936,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,145011,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -60,Self-emp-inc,181196,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Self-emp-not-inc,37778,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -27,Private,60288,Masters,14,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -57,Self-emp-not-inc,84231,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,48,United-States,<=50K -24,Private,52028,1st-4th,2,Married-civ-spouse,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,5,Vietnam,<=50K -63,Private,318763,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,22,United-States,<=50K -29,Private,168138,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -34,Private,113530,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,321896,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,145791,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,131425,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,145214,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,4650,0,20,United-States,<=50K -64,Local-gov,142166,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,99,United-States,<=50K -20,Private,494784,HS-grad,9,Never-married,Sales,Other-relative,Black,Female,0,0,35,United-States,<=50K -44,Self-emp-not-inc,172479,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,15024,0,60,United-States,>50K -35,Private,184655,11th,7,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -41,Local-gov,26669,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,191479,Some-college,10,Divorced,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K -21,Private,86625,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,?,<=50K -64,State-gov,111795,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -42,Private,242564,7th-8th,4,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,2205,40,United-States,<=50K -31,Private,364657,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Germany,>50K -42,Self-emp-not-inc,436107,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,272476,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,>50K -36,Federal-gov,47310,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,>50K -23,Private,283796,12th,8,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,30,Mexico,<=50K -20,Private,161092,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,14,United-States,<=50K -26,Local-gov,265230,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -56,Federal-gov,61885,Bachelors,13,Never-married,Transport-moving,Not-in-family,Black,Male,0,2001,65,United-States,<=50K -40,Private,150471,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,183041,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K -33,Private,176673,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -45,Federal-gov,235891,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,Columbia,<=50K -41,Private,163287,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,43,United-States,>50K -29,Private,164040,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -46,Local-gov,324561,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -48,Private,99127,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -38,Private,334999,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -29,Private,543477,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -35,Private,65876,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -59,Local-gov,105866,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,30,United-States,<=50K -27,Private,214858,HS-grad,9,Married-civ-spouse,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,154076,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -70,Private,280307,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,Cuba,<=50K -30,Private,97723,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,45,United-States,<=50K -24,Private,233499,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -76,Local-gov,259612,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,15,United-States,<=50K -25,Private,236977,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,40,Mexico,<=50K -39,Private,347814,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,56,United-States,<=50K -36,Local-gov,197495,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,227594,12th,8,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -60,Private,165441,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -20,?,337488,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,30,United-States,<=50K -54,Private,167552,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Haiti,>50K -20,Private,396722,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Federal-gov,146538,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,51973,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K -41,Private,144778,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,169672,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,240137,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,55,Mexico,<=50K -54,State-gov,103179,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -17,Private,172050,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K -43,Private,178976,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,176185,12th,8,Divorced,Craft-repair,Not-in-family,White,Male,0,2258,42,United-States,<=50K -30,Private,158200,Prof-school,15,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,40,?,<=50K -38,Federal-gov,172571,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K -54,Self-emp-not-inc,226735,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,45,United-States,<=50K -39,Private,148015,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,52,United-States,<=50K -32,Private,199529,Some-college,10,Separated,Tech-support,Not-in-family,Amer-Indian-Eskimo,Male,0,1980,40,United-States,<=50K -61,Local-gov,35001,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,2885,0,40,United-States,<=50K -24,?,67586,Assoc-voc,11,Married-civ-spouse,?,Wife,Black,Female,0,0,35,United-States,<=50K -22,Private,88126,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,226296,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -18,Private,452452,10th,6,Never-married,Priv-house-serv,Own-child,Black,Female,0,0,20,United-States,<=50K -20,Private,378546,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,25,United-States,<=50K -53,Federal-gov,186087,HS-grad,9,Divorced,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K -32,Private,27856,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -68,Self-emp-not-inc,234859,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -28,Private,71733,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,15,United-States,<=50K -28,Private,207473,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,El-Salvador,<=50K -54,Private,179291,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,56,Haiti,>50K -21,?,253190,Some-college,10,Never-married,?,Own-child,White,Male,0,0,48,United-States,<=50K -52,Private,92968,Bachelors,13,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,?,<=50K -25,Private,209286,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,122889,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,India,>50K -33,Private,112358,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K -49,Private,176341,Bachelors,13,Never-married,Tech-support,Unmarried,Asian-Pac-Islander,Female,0,0,40,India,<=50K -58,Private,247276,7th-8th,4,Widowed,Other-service,Not-in-family,Other,Female,0,0,30,United-States,<=50K -45,Private,276087,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,24,United-States,>50K -67,Private,257557,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Black,Male,10566,0,40,United-States,<=50K -42,Local-gov,177937,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,?,<=50K -69,Self-emp-inc,106395,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -61,Private,167138,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,213887,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,185647,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -19,Private,143360,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,34,United-States,<=50K -31,Self-emp-not-inc,176862,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Federal-gov,97614,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -76,?,224680,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,1258,20,United-States,<=50K -53,Private,196763,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K -46,Private,306183,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,37,United-States,<=50K -43,Self-emp-not-inc,343061,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,4508,0,40,Cuba,<=50K -48,?,193047,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -39,Private,348521,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2415,99,United-States,>50K -59,Private,195835,7th-8th,4,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,106273,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,38,United-States,<=50K -40,Private,222756,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -63,Self-emp-inc,110610,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -44,?,191982,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,10,Poland,<=50K -46,Private,247286,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,219042,10th,6,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -36,Private,224566,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,1669,45,United-States,<=50K -57,Private,204751,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -58,Private,113398,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,25,United-States,<=50K -25,?,170428,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,0,0,28,Taiwan,<=50K -59,Private,258579,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,35,United-States,>50K -36,Private,162424,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -29,Private,263005,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,Germany,<=50K -49,Self-emp-inc,26502,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,6497,0,45,United-States,<=50K -42,Private,369131,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -43,Local-gov,114859,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,17,United-States,<=50K -46,Private,405309,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -43,Local-gov,323627,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,12,United-States,<=50K -40,Private,106698,Assoc-acdm,12,Divorced,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,51506,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,117251,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K -26,Private,106705,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,28,United-States,<=50K -30,Private,217296,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K -58,Private,34788,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K -43,Private,143368,HS-grad,9,Divorced,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K -53,Local-gov,86600,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -74,State-gov,117017,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,16,United-States,<=50K -64,?,104756,Some-college,10,Widowed,?,Unmarried,White,Female,0,0,8,United-States,<=50K -45,Private,55720,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -32,State-gov,481096,5th-6th,3,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,10,United-States,<=50K -23,?,281668,10th,6,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K -38,Private,186145,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -42,Self-emp-not-inc,96524,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -24,Local-gov,187397,Some-college,10,Never-married,Protective-serv,Unmarried,Other,Male,1151,0,40,United-States,<=50K -63,Private,181153,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -25,Local-gov,375170,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,35,United-States,<=50K -37,Private,360743,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,420054,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,<=50K -31,Private,137681,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,28419,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -44,Private,101214,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,44,United-States,>50K -42,Local-gov,213019,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -45,Private,207540,Doctorate,16,Separated,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,>50K -52,Private,145333,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -40,Private,107306,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -26,Private,195327,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -55,Private,196126,Bachelors,13,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K -17,Private,175465,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,14,United-States,<=50K -27,Private,197905,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -71,Self-emp-inc,118119,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,50,United-States,>50K -35,Private,172571,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -17,Private,25051,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -26,Private,210714,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,52,United-States,>50K -22,Private,183083,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,35,United-States,<=50K -51,Private,99185,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -33,Private,283921,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Local-gov,396467,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,>50K -50,Private,158680,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -26,Private,202091,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -21,Private,285127,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Female,0,0,40,United-States,<=50K -53,Private,218630,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -32,Self-emp-inc,99309,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -19,Private,165505,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -22,Private,122272,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -58,Private,147707,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -47,Federal-gov,44257,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K -51,Self-emp-inc,194995,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -42,State-gov,345969,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -28,Private,31842,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,143582,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,35,Vietnam,<=50K -50,Private,161438,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -22,Private,317019,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -47,Self-emp-not-inc,158451,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K -60,Private,225883,Some-college,10,Widowed,Sales,Unmarried,White,Female,0,0,27,United-States,<=50K -46,Self-emp-not-inc,176319,HS-grad,9,Married-civ-spouse,Sales,Own-child,White,Female,7298,0,40,United-States,>50K -58,Self-emp-inc,258883,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -62,Private,26966,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,202812,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -59,Private,35411,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,190885,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -31,Private,182162,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,37,United-States,<=50K -18,Private,352640,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -64,Self-emp-not-inc,213945,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -51,Self-emp-not-inc,135102,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -47,Self-emp-not-inc,102583,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K -68,Private,225612,Bachelors,13,Widowed,Sales,Not-in-family,White,Male,0,0,35,United-States,>50K -32,Private,241802,HS-grad,9,Married-civ-spouse,Other-service,Wife,Other,Female,0,0,40,United-States,<=50K -39,Private,347434,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,43,Mexico,<=50K -37,Private,305259,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,48,United-States,<=50K -29,Private,140830,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -44,Private,291568,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Other,Male,0,0,40,United-States,<=50K -46,Private,203067,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -40,Self-emp-not-inc,155106,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -19,?,252752,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,35,United-States,<=50K -65,?,404601,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2414,0,30,United-States,<=50K -52,Local-gov,100226,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -40,Private,63503,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -61,Private,95929,9th,5,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,187618,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -61,Self-emp-not-inc,92178,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,220362,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,84,United-States,>50K -32,Local-gov,209900,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K -32,Private,272376,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Self-emp-not-inc,173854,Bachelors,13,Divorced,Prof-specialty,Other-relative,White,Male,0,0,35,United-States,>50K -37,Private,278924,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,324568,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -51,Self-emp-inc,124963,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -29,Private,211299,Assoc-voc,11,Never-married,Sales,Not-in-family,Black,Male,0,0,45,United-States,<=50K -48,Private,192791,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -69,Private,182862,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,15831,0,40,United-States,>50K -28,Private,46868,Masters,14,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Local-gov,31365,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -45,Private,148171,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,40,United-States,>50K -18,Private,142647,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -60,Private,116230,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,108907,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,?,<=50K -19,Private,495982,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K -18,Private,334026,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,25,United-States,<=50K -33,Private,268571,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,213813,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,241667,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -37,Private,160920,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -50,Private,107265,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -19,?,41609,Some-college,10,Never-married,?,Own-child,White,Male,0,0,10,United-States,<=50K -28,Private,129460,10th,6,Widowed,Adm-clerical,Unmarried,White,Female,0,2238,35,United-States,<=50K -43,?,109912,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,7,United-States,>50K -23,Private,167424,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -47,Private,270079,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,325923,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,35,United-States,<=50K -19,Private,194905,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -47,Local-gov,183486,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -36,Federal-gov,153066,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -62,Self-emp-inc,56248,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2415,60,United-States,>50K -65,Private,105252,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -46,Self-emp-not-inc,168195,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,45,United-States,>50K -35,Private,167735,11th,7,Never-married,Craft-repair,Own-child,White,Male,6849,0,40,United-States,<=50K -50,Private,146310,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,256504,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,6,United-States,<=50K -17,Private,121425,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K -33,Private,146440,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K -57,?,155259,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Self-emp-not-inc,98829,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -47,Self-emp-inc,239321,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -62,Self-emp-inc,134768,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -35,Private,556902,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -27,Private,47907,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K -23,Private,114357,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,50,United-States,<=50K -27,Private,189462,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1504,45,United-States,<=50K -39,Private,90646,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,232914,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,38,United-States,<=50K -24,Private,192201,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,20,United-States,<=50K -23,Private,27776,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,137476,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K -30,Private,100734,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,38,United-States,<=50K -34,Private,111746,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,45,Portugal,<=50K -32,Private,184833,10th,6,Separated,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -18,Private,414721,11th,7,Never-married,Other-service,Own-child,Black,Male,0,1602,23,United-States,<=50K -20,Private,151780,Assoc-voc,11,Never-married,Sales,Not-in-family,Black,Female,0,0,35,United-States,<=50K -38,State-gov,203628,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -18,Private,137363,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -41,Private,172307,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,273403,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -36,State-gov,37931,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,>50K -61,Private,97030,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -30,Private,54608,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -26,Private,108542,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -27,Private,253814,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -45,Private,421412,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -47,Private,207140,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -19,Private,138153,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -29,Private,46987,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,55,United-States,<=50K -51,Self-emp-inc,183173,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -34,Local-gov,229531,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -42,Self-emp-not-inc,320744,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3908,0,45,United-States,<=50K -26,Private,257405,5th-6th,3,Never-married,Farming-fishing,Other-relative,Black,Male,0,0,40,Mexico,<=50K -20,State-gov,432052,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,15,United-States,<=50K -43,Private,397280,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -20,Private,38001,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -27,Private,101618,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -46,Federal-gov,332727,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -39,Private,115215,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,178449,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,49,United-States,<=50K -42,Private,185267,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,32,United-States,<=50K -23,Private,410439,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K -29,Private,85572,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,42,United-States,>50K -27,Private,83517,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K -43,Self-emp-not-inc,194726,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -23,Private,322674,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Local-gov,34540,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,44,United-States,<=50K -35,Local-gov,211073,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,61,United-States,>50K -30,Private,194901,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -59,Private,117059,11th,7,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -65,Self-emp-not-inc,78875,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,2290,0,40,United-States,<=50K -28,Private,51461,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -79,Private,266119,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -43,Local-gov,92374,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,35,United-States,>50K -54,Private,175262,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,208249,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,62,United-States,<=50K -30,Private,196385,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,35,United-States,>50K -22,?,110622,Bachelors,13,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,15,Taiwan,<=50K -34,Private,146980,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,65,United-States,<=50K -18,Private,112974,11th,7,Never-married,Prof-specialty,Other-relative,White,Male,0,0,3,United-States,<=50K -40,Self-emp-not-inc,175943,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,15,United-States,>50K -28,Private,163265,9th,5,Married-civ-spouse,Sales,Husband,White,Male,4508,0,40,United-States,<=50K -18,Private,210932,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,145290,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,198992,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -77,?,174887,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K -41,Federal-gov,36651,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,40,United-States,>50K -48,Private,190072,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -29,Private,49087,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -41,Private,126622,11th,7,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,174189,9th,5,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,118605,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -49,Self-emp-not-inc,377622,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -49,Private,157272,HS-grad,9,Separated,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K -30,Private,78530,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,190391,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -62,State-gov,162678,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,103980,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,52,United-States,<=50K -20,Private,293726,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,Private,98350,Preschool,1,Married-spouse-absent,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,China,<=50K -30,Private,207668,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,60,Hungary,<=50K -29,Federal-gov,41013,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K -50,Private,188186,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,1590,45,United-States,<=50K -44,Federal-gov,320071,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -25,Private,306908,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -62,Private,167652,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Private,173580,Some-college,10,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,273612,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -26,Private,195555,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -60,Private,186446,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -22,Private,418405,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -62,Local-gov,41793,Masters,14,Separated,Prof-specialty,Not-in-family,White,Female,0,0,50,?,<=50K -26,Private,183965,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,354784,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -44,Private,198096,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -32,Private,732102,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -66,Self-emp-not-inc,97847,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,196678,Preschool,1,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K -19,Private,320014,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -54,Self-emp-inc,298215,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -37,Private,295127,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,368140,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -37,Self-emp-not-inc,187411,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,?,<=50K -22,?,121070,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K -34,Private,212163,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K -35,Self-emp-not-inc,108198,HS-grad,9,Divorced,Craft-repair,Own-child,Amer-Indian-Eskimo,Male,0,0,15,United-States,<=50K -42,Federal-gov,294431,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -47,Federal-gov,202560,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -29,Self-emp-inc,266070,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,80,United-States,<=50K -34,Private,346122,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Self-emp-inc,308686,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,>50K -62,Self-emp-inc,236096,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -35,Private,187711,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,238959,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -47,Private,93557,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,329980,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,125010,Assoc-voc,11,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,30,United-States,<=50K -60,Self-emp-inc,90915,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -31,Private,289731,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -74,?,33114,10th,6,Married-civ-spouse,?,Husband,Amer-Indian-Eskimo,Male,1797,0,30,United-States,<=50K -63,Private,206052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,191385,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -44,?,268804,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,30,United-States,<=50K -40,Self-emp-inc,191429,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -35,Self-emp-not-inc,199753,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K -50,Local-gov,92486,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,171088,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K -33,Private,112820,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -59,Self-emp-not-inc,32855,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -17,Private,142964,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -47,Private,89146,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K -51,?,147015,Some-college,10,Divorced,?,Not-in-family,Black,Male,0,0,50,United-States,<=50K -26,Private,291968,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Local-gov,29235,Some-college,10,Married-civ-spouse,Protective-serv,Wife,White,Female,0,0,40,France,>50K -55,Private,238216,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,State-gov,323726,Some-college,10,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -54,Private,141663,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -19,?,218471,HS-grad,9,Never-married,?,Own-child,White,Female,0,1602,30,United-States,<=50K -32,Private,118551,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K -52,Local-gov,35092,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -39,Private,139703,HS-grad,9,Married-spouse-absent,Sales,Unmarried,Black,Female,0,0,28,Jamaica,<=50K -39,Federal-gov,206190,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -59,Self-emp-not-inc,178353,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -55,Federal-gov,169133,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,103179,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -31,Private,354464,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -19,?,124651,11th,7,Never-married,?,Own-child,Black,Male,0,0,25,United-States,<=50K -30,Private,60426,HS-grad,9,Married-civ-spouse,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -47,Federal-gov,98726,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,133861,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,180303,Bachelors,13,Divorced,Craft-repair,Unmarried,Asian-Pac-Islander,Male,0,0,47,Iran,<=50K -33,Private,221324,Assoc-voc,11,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Private,325658,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -32,Private,210562,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,152249,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,35,Mexico,<=50K -29,Private,178649,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,20,France,<=50K -41,State-gov,48997,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -39,Private,243409,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -34,Private,162442,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K -23,Private,203078,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Male,0,0,24,United-States,<=50K -53,Self-emp-inc,155983,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K -45,Self-emp-not-inc,182677,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Thailand,<=50K -34,?,170276,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,10,United-States,>50K -47,Private,105381,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,?,256240,7th-8th,4,Married-civ-spouse,?,Own-child,White,Male,0,0,60,United-States,<=50K -42,Private,210275,Masters,14,Divorced,Tech-support,Unmarried,Black,Female,4687,0,35,United-States,>50K -53,Private,150980,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3137,0,40,United-States,<=50K -38,Self-emp-inc,141584,HS-grad,9,Divorced,Sales,Unmarried,White,Male,0,0,55,United-States,<=50K -26,Private,113571,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K -18,Private,154089,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -43,Private,50197,10th,6,Separated,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -26,Private,132572,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,32,United-States,<=50K -47,Private,238185,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,112754,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,>50K -21,?,357029,Some-college,10,Married-civ-spouse,?,Wife,Black,Female,2105,0,20,United-States,<=50K -32,State-gov,213389,Some-college,10,Divorced,Protective-serv,Unmarried,White,Female,0,1726,38,United-States,<=50K -48,Self-emp-inc,287647,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,55,United-States,>50K -39,Private,150061,Masters,14,Divorced,Exec-managerial,Unmarried,Black,Female,15020,0,60,United-States,>50K -58,Self-emp-inc,143266,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,68006,7th-8th,4,Never-married,Other-service,Other-relative,White,Female,0,0,60,United-States,<=50K -40,Private,287079,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,55,United-States,<=50K -33,Private,223212,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -74,Self-emp-not-inc,173929,Doctorate,16,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,25,United-States,>50K -49,Self-emp-not-inc,182211,HS-grad,9,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,55,United-States,<=50K -56,Self-emp-not-inc,62539,11th,7,Widowed,Other-service,Unmarried,White,Female,0,0,65,Greece,>50K -29,Private,157612,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,14344,0,40,United-States,>50K -25,Private,305472,Assoc-acdm,12,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,48,United-States,<=50K -57,Private,548256,12th,8,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -29,Private,40295,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,112403,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,2354,0,40,United-States,<=50K -59,Private,31137,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -30,Private,116138,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,27828,0,60,United-States,>50K -28,?,127833,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -19,Private,201743,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -40,Private,240027,Some-college,10,Never-married,Sales,Unmarried,Black,Female,0,0,45,United-States,<=50K -28,Private,129882,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -48,?,355890,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,55,United-States,>50K -20,Private,107658,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,10,Canada,<=50K -58,Private,136841,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,99999,0,35,United-States,>50K -19,Private,146679,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Male,0,0,30,United-States,<=50K -75,?,35724,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,8,United-States,<=50K -24,Federal-gov,42251,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -31,Private,113838,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -28,Self-emp-not-inc,282398,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -41,Private,33331,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -23,Federal-gov,41031,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -46,Private,155489,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,>50K -33,Private,53042,12th,8,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -34,Private,174789,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -47,Local-gov,203067,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -81,Private,177408,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2377,26,United-States,>50K -45,Private,216626,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,Other,Male,0,0,40,Columbia,<=50K -35,Private,93034,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Cambodia,<=50K -59,Self-emp-not-inc,188003,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -46,Local-gov,65535,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -39,Private,366757,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -23,Private,414545,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -25,Private,295919,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,34378,1st-4th,2,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Self-emp-inc,58359,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -25,Private,476334,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -32,Private,255424,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -34,Local-gov,175856,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,124692,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -33,Private,118551,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -78,?,292019,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -31,Private,288566,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,43,United-States,>50K -61,Private,137733,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K -22,Private,39432,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,138537,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K -37,Private,709445,HS-grad,9,Separated,Craft-repair,Other-relative,Black,Male,0,0,40,United-States,<=50K -35,Private,194809,11th,7,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Self-emp-inc,89041,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -37,?,299090,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -18,Private,159561,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K -37,Private,236328,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -46,Private,269045,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -25,?,196627,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -47,Federal-gov,323798,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -55,Private,463072,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -32,Private,199655,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Other,Female,0,1740,40,?,<=50K -25,Self-emp-inc,98756,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,50,United-States,<=50K -50,State-gov,161075,HS-grad,9,Widowed,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -18,Private,192485,12th,8,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,20,United-States,<=50K -25,Private,201579,9th,5,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -23,Private,117606,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,?,177487,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,237731,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,2829,0,65,United-States,<=50K -37,Private,60313,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -37,Private,270059,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,25236,0,25,United-States,>50K -27,Private,169958,5th-6th,3,Never-married,Craft-repair,Own-child,White,Male,0,0,40,?,<=50K -19,Private,240686,11th,7,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -52,Local-gov,124793,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Self-emp-not-inc,113948,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,White,Female,0,0,45,United-States,<=50K -17,?,241021,12th,8,Never-married,?,Own-child,Other,Female,0,0,40,United-States,<=50K -21,Private,147655,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -41,Self-emp-not-inc,38876,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -55,Private,117299,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -20,?,114813,10th,6,Separated,?,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,136310,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -41,Federal-gov,153132,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -23,Private,197552,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -33,Private,69748,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -29,Private,175738,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K -50,State-gov,78649,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -37,Self-emp-inc,188774,11th,7,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,60,?,<=50K -48,Private,155659,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -19,Federal-gov,215891,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -40,Private,144928,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,33688,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Female,0,1669,70,United-States,<=50K -65,Private,262446,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -44,Federal-gov,191295,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,48,United-States,<=50K -32,Private,279173,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -41,Private,153031,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K -28,Private,202239,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -44,Federal-gov,469454,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,48,United-States,>50K -39,Local-gov,164156,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Female,0,0,55,United-States,<=50K -59,Private,196482,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,176185,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,France,>50K -34,Private,287315,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,117210,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,41610,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,160703,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K -31,Private,80511,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Female,0,0,44,United-States,<=50K -39,Private,219155,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,<=50K -35,Private,106347,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -37,Self-emp-not-inc,68899,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2129,40,United-States,<=50K -44,Self-emp-not-inc,163985,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,32,United-States,>50K -28,Private,270887,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K -17,Private,205726,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -23,Private,218899,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,60,United-States,<=50K -35,Private,186183,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,80,United-States,>50K -19,Private,248749,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -30,Private,197558,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,176514,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,?,116820,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K -27,Private,128730,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,10520,0,65,Greece,>50K -37,Private,215503,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,45,United-States,>50K -44,Private,226129,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -34,Private,175856,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,55,United-States,>50K -43,Private,281138,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,98061,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,260560,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -23,Private,289909,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -51,Private,59590,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K -24,Private,236769,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,423616,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,24,United-States,>50K -24,Private,291407,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -53,Self-emp-inc,100029,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -33,Private,204494,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,56,United-States,>50K -24,Private,201680,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,154308,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -31,Private,150324,11th,7,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -38,Local-gov,331609,Some-college,10,Widowed,Transport-moving,Not-in-family,Black,Female,0,0,47,United-States,<=50K -28,Private,100829,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -38,Private,203169,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -25,Private,122075,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Private,178778,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,276345,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -48,Private,233511,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -24,Private,289448,Assoc-voc,11,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -31,Private,173350,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -36,Private,130589,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -62,Private,94318,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -25,Private,297531,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -55,Private,129762,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,182614,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,Poland,<=50K -60,Private,120067,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -41,Private,182370,Assoc-acdm,12,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -43,State-gov,60949,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,190511,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -47,Private,188195,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,89534,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-inc,125831,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1887,55,United-States,>50K -23,Private,183358,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -38,?,75024,7th-8th,4,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,251120,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,England,<=50K -35,Private,108946,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,93223,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K -61,Private,147393,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -71,?,45801,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,70,United-States,<=50K -35,State-gov,225385,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Federal-gov,23892,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,179668,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Scotland,<=50K -27,Self-emp-not-inc,404998,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,68882,1st-4th,2,Widowed,Other-service,Unmarried,White,Female,0,0,35,Portugal,<=50K -55,Self-emp-not-inc,194065,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,357540,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2002,55,United-States,<=50K -33,Private,185336,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -25,State-gov,152503,Some-college,10,Never-married,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K -52,Private,167794,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K -46,Private,96552,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,17,United-States,<=50K -34,Private,169527,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,4386,0,20,United-States,<=50K -52,State-gov,254285,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,32509,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Private,125492,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -36,Self-emp-inc,186035,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -69,?,168794,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,48,United-States,<=50K -34,Private,191856,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,7298,0,40,United-States,>50K -36,Private,215503,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K -31,Private,187560,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,2174,0,40,United-States,<=50K -31,Self-emp-not-inc,252752,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,2415,40,United-States,>50K -38,Local-gov,210991,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K -57,Local-gov,190748,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,35,United-States,<=50K -24,Private,117767,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -37,Private,301070,HS-grad,9,Divorced,Farming-fishing,Unmarried,White,Male,0,0,45,United-States,<=50K -69,Self-emp-not-inc,204645,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,9386,0,72,United-States,>50K -39,Private,186183,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -38,Private,131808,Assoc-voc,11,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -34,State-gov,156292,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -21,Private,124589,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -21,Private,262819,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -61,Private,95500,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,241306,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -29,Private,238680,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,55,Outlying-US(Guam-USVI-etc),<=50K -18,?,42293,10th,6,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -41,Local-gov,168071,HS-grad,9,Divorced,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K -42,Private,337629,12th,8,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,60,?,>50K -52,Private,168001,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -38,Private,97759,12th,8,Never-married,Other-service,Unmarried,White,Female,0,0,17,United-States,<=50K -51,Self-emp-not-inc,107096,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -55,Private,76860,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -20,Private,70076,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,312017,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,174138,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,125892,Bachelors,13,Divorced,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,<=50K -22,Private,210474,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,State-gov,157332,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -28,Private,30771,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -28,Private,319768,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,France,>50K -34,Private,209101,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,55,United-States,>50K -25,Private,324609,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -48,Private,268234,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -32,Local-gov,178109,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,43,United-States,<=50K -31,Private,25955,9th,5,Never-married,Craft-repair,Own-child,Amer-Indian-Eskimo,Male,0,0,35,United-States,<=50K -65,?,123484,HS-grad,9,Widowed,?,Other-relative,White,Female,0,0,25,United-States,<=50K -56,Local-gov,129762,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -22,Self-emp-not-inc,108506,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,Amer-Indian-Eskimo,Male,0,0,75,United-States,<=50K -27,Private,241607,Bachelors,13,Never-married,Tech-support,Other-relative,White,Male,0,0,50,United-States,<=50K -27,Federal-gov,214385,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -30,Local-gov,183000,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -33,Private,290763,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,171924,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,>50K -19,Private,97189,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,22,United-States,<=50K -42,Private,195096,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K -37,Federal-gov,329088,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -26,Private,58371,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -32,?,256371,12th,8,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K -43,Private,35824,Some-college,10,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Private,173271,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,391349,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -24,Private,86153,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,295855,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,70,United-States,<=50K -33,Self-emp-not-inc,327902,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -35,Private,285102,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Taiwan,>50K -57,Private,178353,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -45,Private,28119,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,7,United-States,<=50K -42,Private,197522,Some-college,10,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -25,Private,108542,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,35,United-States,<=50K -56,Private,179781,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -25,Private,126974,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,180060,Bachelors,13,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,50,United-States,<=50K -35,Local-gov,38948,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,271572,9th,5,Never-married,Other-service,Other-relative,White,Male,0,0,52,United-States,<=50K -41,Private,177305,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -26,Private,238367,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,172232,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,30,United-States,<=50K -22,Private,153805,HS-grad,9,Never-married,Other-service,Unmarried,Other,Male,0,0,20,Puerto-Rico,<=50K -30,Private,26543,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,109067,Bachelors,13,Separated,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,213716,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -49,Private,149809,Preschool,1,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -27,Private,185670,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -43,Federal-gov,233851,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -68,?,192052,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,2457,40,United-States,<=50K -41,Private,193524,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,40,United-States,<=50K -25,Private,213385,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,38238,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -68,Private,104438,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Ireland,>50K -17,Private,202344,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -45,Self-emp-not-inc,43434,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,102147,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -30,Private,231826,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -49,State-gov,247378,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -42,Private,78765,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,45,United-States,>50K -29,Private,184078,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -21,Local-gov,102942,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,2001,40,United-States,<=50K -20,Private,258430,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,19,United-States,<=50K -59,Private,244554,11th,7,Divorced,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K -26,Private,252565,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -25,Private,262778,Masters,14,Never-married,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K -33,Private,162572,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K -35,Private,65706,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Federal-gov,102569,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -66,Private,350498,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,28,United-States,<=50K -67,?,159542,5th-6th,3,Widowed,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -33,Private,142383,Assoc-acdm,12,Never-married,Sales,Not-in-family,Other,Male,0,0,36,United-States,<=50K -38,Private,229236,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Other,Male,0,0,40,Puerto-Rico,<=50K -72,Private,56559,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,12,United-States,<=50K -21,Private,27049,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K -39,Private,36376,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -41,Private,194360,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -22,Private,246965,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,12,United-States,<=50K -49,Self-emp-inc,191277,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -24,Private,268525,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,32,United-States,<=50K -25,Private,456604,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,223464,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,341797,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,174461,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,392167,10th,6,Divorced,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K -60,Private,210064,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -67,?,233182,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,7,United-States,<=50K -77,Local-gov,177550,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,3818,0,14,United-States,<=50K -62,Private,143312,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K -22,Private,326334,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -37,Private,179088,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,207637,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K -52,Federal-gov,37289,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K -31,Private,36069,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -23,Federal-gov,53245,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Self-emp-inc,399904,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,50,Mexico,<=50K -38,Self-emp-inc,199346,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,<=50K -23,Private,343019,10th,6,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,State-gov,232742,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -61,Self-emp-not-inc,390472,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,290124,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -23,Private,242912,Some-college,10,Never-married,Other-service,Own-child,White,Female,4650,0,40,United-States,<=50K -39,Private,70240,5th-6th,3,Married-spouse-absent,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -38,Local-gov,286405,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K -25,Private,153841,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,137367,Bachelors,13,Never-married,Sales,Unmarried,Asian-Pac-Islander,Male,0,0,44,Philippines,<=50K -66,Private,313255,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,24,United-States,<=50K -30,Private,100734,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -32,Private,248584,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,60001,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -18,Private,335065,7th-8th,4,Never-married,Sales,Own-child,White,Male,0,0,30,Mexico,<=50K -20,Private,219262,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -20,Private,186830,HS-grad,9,Never-married,Transport-moving,Other-relative,Black,Male,0,0,45,United-States,<=50K -34,Private,226385,Masters,14,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -33,Private,609789,Assoc-acdm,12,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -40,Private,307767,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,217460,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -30,Private,104052,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,1741,42,United-States,<=50K -41,Local-gov,160893,Preschool,1,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,30,United-States,<=50K -20,Private,68358,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K -40,Self-emp-not-inc,243636,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -44,Self-emp-not-inc,71269,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,71898,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,35,Philippines,<=50K -38,?,212048,Prof-school,15,Divorced,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -30,Local-gov,115040,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,25,United-States,<=50K -45,Private,111994,Some-college,10,Divorced,Sales,Not-in-family,White,Male,4650,0,40,United-States,<=50K -25,Private,210794,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -22,?,88126,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,570821,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -63,?,146196,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -55,State-gov,169482,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -26,Private,63577,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -22,Private,208946,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,26598,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,189203,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,183892,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -82,?,194590,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,8,United-States,<=50K -18,Private,188616,11th,7,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -60,Private,116707,11th,7,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,99199,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -39,Local-gov,183620,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Female,0,0,40,United-States,>50K -34,Private,110476,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -50,Local-gov,157043,Masters,14,Divorced,Prof-specialty,Not-in-family,Black,Female,2202,0,30,?,<=50K -53,Private,150726,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,214695,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,60,United-States,<=50K -37,Private,172694,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,50,United-States,<=50K -25,Private,344804,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,Mexico,<=50K -33,Private,319422,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,Peru,<=50K -34,State-gov,327902,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -35,Private,438176,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,65,United-States,<=50K -51,Private,197656,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -33,Private,219838,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -57,Self-emp-not-inc,35561,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -25,?,156848,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -56,Private,190257,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,156464,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,85,England,>50K -36,Private,65624,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,201699,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -55,Private,349910,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,>50K -88,Self-emp-not-inc,187097,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -60,Self-emp-not-inc,264314,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,Columbia,<=50K -40,Self-emp-not-inc,282678,Masters,14,Separated,Exec-managerial,Unmarried,White,Female,0,0,20,United-States,<=50K -21,Private,188923,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,55,United-States,<=50K -46,Private,114797,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,36,United-States,<=50K -56,Private,245215,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -36,Self-emp-not-inc,36270,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -67,Self-emp-not-inc,107138,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,77820,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -20,Private,39477,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,58305,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1573,40,United-States,<=50K -23,Private,359759,HS-grad,9,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -19,?,249147,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -19,Private,44797,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,15,United-States,<=50K -25,Private,164488,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -53,Private,48413,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,?,261276,Some-college,10,Never-married,?,Own-child,Black,Female,0,1602,40,Cambodia,<=50K -31,Self-emp-not-inc,36592,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,91,United-States,<=50K -33,Private,280923,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -33,Federal-gov,29617,Some-college,10,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -45,Self-emp-inc,208802,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,25236,0,36,United-States,>50K -35,Private,189240,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -20,?,37932,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,181705,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,147548,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,85,United-States,<=50K -51,Self-emp-not-inc,306784,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -45,?,260953,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -45,State-gov,190406,Prof-school,15,Divorced,Prof-specialty,Unmarried,Black,Male,25236,0,36,United-States,>50K -24,Private,230229,5th-6th,3,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K -28,Private,46987,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,2174,0,36,United-States,<=50K -63,Private,301108,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,22,United-States,<=50K -35,Private,263081,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,60,United-States,>50K -25,Self-emp-not-inc,37741,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -36,Private,115834,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,7298,0,55,United-States,>50K -44,Private,150076,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -49,Self-emp-not-inc,148254,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Female,0,0,28,United-States,<=50K -52,Private,183611,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,258768,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -35,Private,287658,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Male,0,0,40,United-States,<=50K -51,Private,95946,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -49,Private,31267,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Local-gov,302149,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,7298,0,40,Philippines,>50K -28,Private,250135,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,176073,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -65,Private,23580,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,163665,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -30,Federal-gov,43953,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,144860,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K -58,Self-emp-not-inc,61474,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -57,Private,141570,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1977,40,United-States,>50K -40,Private,225660,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K -42,Private,336891,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -31,Self-emp-not-inc,210164,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -17,Private,171080,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -42,Private,143342,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,281627,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,409922,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -65,?,224472,Prof-school,15,Never-married,?,Not-in-family,White,Male,25124,0,80,United-States,>50K -29,Private,157262,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -31,Private,144949,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -71,Local-gov,303860,Masters,14,Widowed,Exec-managerial,Not-in-family,White,Male,2050,0,20,United-States,<=50K -34,Private,104293,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,195481,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K -40,Private,193995,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -67,Private,105216,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -40,Private,147206,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -18,Private,173585,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,18,United-States,<=50K -38,Private,187870,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K -38,Private,248919,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Guatemala,<=50K -42,Private,280410,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,Haiti,<=50K -36,State-gov,170861,HS-grad,9,Separated,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K -23,Self-emp-not-inc,409230,1st-4th,2,Married-civ-spouse,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -56,Private,340171,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -36,Private,41017,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,United-States,>50K -22,Private,416356,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -39,Private,261504,12th,8,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,State-gov,205555,Prof-school,15,Divorced,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -44,Private,245317,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,>50K -38,Private,153685,11th,7,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,52,United-States,<=50K -19,?,169758,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,99374,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -57,Local-gov,139452,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,16,United-States,<=50K -54,Private,227832,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Self-emp-not-inc,213024,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,30,United-States,<=50K -22,?,24008,Some-college,10,Never-married,?,Own-child,White,Male,0,0,72,United-States,<=50K -63,Self-emp-not-inc,33487,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Self-emp-inc,187934,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,20,Poland,<=50K -26,Private,421561,11th,7,Married-civ-spouse,Other-service,Other-relative,White,Male,0,0,25,United-States,<=50K -40,Private,109969,11th,7,Divorced,Other-service,Other-relative,White,Female,0,0,20,United-States,<=50K -20,Private,116830,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,117166,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2635,0,40,United-States,<=50K -28,Private,106951,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,42,United-States,<=50K -30,Private,89625,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,5,United-States,>50K -42,Private,194537,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,144002,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -21,Private,202214,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,109762,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -36,Private,292570,11th,7,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -67,Private,105252,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,7978,0,35,United-States,<=50K -65,Private,94552,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Local-gov,46401,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -18,Private,151150,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,27,United-States,<=50K -31,Private,197689,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,38,United-States,<=50K -36,Self-emp-inc,180477,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -20,Private,181761,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -34,Private,381153,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,165474,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,39,United-States,<=50K -38,Federal-gov,190174,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -17,Private,295991,10th,6,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -52,Without-pay,198262,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K -34,Private,190385,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -30,?,411560,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K -49,Private,262116,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K -45,Private,178922,9th,5,Never-married,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -46,Private,192963,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,2415,35,Philippines,>50K -34,Self-emp-inc,209538,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -21,Self-emp-not-inc,103277,12th,8,Married-civ-spouse,Adm-clerical,Wife,White,Female,4508,0,30,Portugal,<=50K -17,Private,216086,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -23,Private,636017,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -32,Private,155781,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,136873,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,State-gov,122066,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,>50K -27,State-gov,346406,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Male,0,0,50,United-States,<=50K -43,Private,117915,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,19914,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,50,Philippines,<=50K -55,Private,255364,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -31,Private,703107,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -34,Private,62374,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K -34,Private,96245,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,348796,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,136873,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K -35,Private,388252,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -28,Private,47783,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -62,Private,194167,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,2174,0,40,United-States,<=50K -40,Federal-gov,544792,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,434463,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,39,United-States,<=50K -32,Private,317219,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1590,40,United-States,<=50K -70,Private,221603,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,34,United-States,<=50K -23,Private,233711,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,111567,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,48,United-States,<=50K -57,Private,79830,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,192259,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -24,Private,239663,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -41,Local-gov,34987,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -38,Self-emp-not-inc,409189,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Mexico,<=50K -48,Private,135525,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,152159,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -18,Private,141363,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,214816,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -42,Private,42907,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,48,United-States,<=50K -30,Private,161815,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -42,Private,127314,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -48,Private,395368,Some-college,10,Divorced,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K -70,Private,184176,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K -37,Private,112660,9th,5,Divorced,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -51,Private,183709,Assoc-voc,11,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,434114,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -59,Self-emp-not-inc,165315,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,43,United-States,>50K -57,Private,190997,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -26,Private,335533,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -26,Private,176146,5th-6th,3,Separated,Craft-repair,Not-in-family,Other,Male,0,0,35,Mexico,<=50K -19,Private,272063,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -34,Private,169564,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -56,Private,188856,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,8614,0,55,United-States,>50K -25,Private,69847,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -46,Self-emp-not-inc,198759,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,80,United-States,>50K -22,Private,175431,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -32,Private,228357,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,40,?,<=50K -72,Self-emp-not-inc,284120,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,109133,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,167336,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K -76,?,42209,9th,5,Widowed,?,Not-in-family,White,Male,0,0,25,United-States,<=50K -37,Private,282951,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,303155,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -44,Private,261899,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,<=50K -33,Private,168030,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,7298,0,21,United-States,>50K -53,State-gov,71417,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,239130,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -69,Private,200560,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,20,United-States,<=50K -20,Private,157541,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,27,United-States,<=50K -33,Private,255004,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -47,Private,230136,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,60,United-States,>50K -50,Local-gov,124963,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,35,United-States,>50K -22,Private,39615,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -20,Private,47678,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -42,Local-gov,281315,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -23,Private,176123,HS-grad,9,Never-married,Tech-support,Other-relative,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -24,?,165350,HS-grad,9,Separated,?,Not-in-family,Black,Male,0,0,50,Germany,<=50K -32,Private,235862,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -41,Private,142579,Bachelors,13,Widowed,Sales,Unmarried,Black,Male,0,0,50,United-States,<=50K -35,Private,38294,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,111483,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -25,Private,189850,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -34,State-gov,145874,Doctorate,16,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,20,China,<=50K -23,Private,139012,Assoc-voc,11,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,40,South,<=50K -30,Local-gov,211654,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -55,Local-gov,173090,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K -26,Private,104834,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1669,40,United-States,<=50K -42,?,195124,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,60,Dominican-Republic,<=50K -39,Private,32146,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -52,Private,282674,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K -42,Private,190403,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Male,0,0,60,Canada,<=50K -25,Private,247025,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,3325,0,48,United-States,<=50K -27,Private,198258,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -30,Self-emp-not-inc,172748,7th-8th,4,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -23,State-gov,287988,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,10520,0,40,United-States,>50K -47,Self-emp-not-inc,122307,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K -58,?,175017,Bachelors,13,Divorced,?,Not-in-family,White,Male,0,0,25,United-States,<=50K -18,Private,170183,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -52,Private,150812,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -24,Private,241185,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K -58,Self-emp-inc,174864,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -35,Private,30529,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,301637,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,423222,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,60,United-States,>50K -43,Private,214781,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,40,United-States,>50K -21,Private,242912,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,35,United-States,<=50K -52,Private,191529,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1740,60,United-States,<=50K -24,Private,117363,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -22,Private,333158,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,48,United-States,<=50K -39,Private,193260,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,25,Mexico,<=50K -34,State-gov,278378,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -58,Private,111394,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -26,Private,102476,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K -29,Private,26451,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -67,?,209137,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,210945,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,35,Haiti,<=50K -62,Local-gov,115023,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,53833,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -36,Private,150057,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K -18,Private,128086,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,18,United-States,<=50K -25,Private,28473,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,155509,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Female,0,0,40,United-States,<=50K -56,Private,165315,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,?,<=50K -30,Private,171889,Prof-school,15,Never-married,Tech-support,Own-child,White,Female,0,0,24,United-States,<=50K -41,Local-gov,185057,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -59,Private,277034,HS-grad,9,Divorced,Tech-support,Unmarried,White,Male,0,0,60,United-States,>50K -36,Private,166606,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,97453,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,54,United-States,<=50K -27,Private,136094,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -19,?,61855,HS-grad,9,Never-married,?,Other-relative,White,Female,0,0,30,United-States,<=50K -30,Private,182771,Bachelors,13,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,15,China,<=50K -47,Private,418961,Assoc-voc,11,Divorced,Sales,Unmarried,Black,Female,0,0,25,United-States,<=50K -39,Private,106961,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -31,Private,81846,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -44,Private,105936,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,36425,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,595088,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,63,United-States,<=50K -38,Private,149018,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,229613,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,33521,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Private,70539,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,4386,0,50,United-States,<=50K -53,State-gov,105728,HS-grad,9,Married-civ-spouse,Other-service,Wife,Amer-Indian-Eskimo,Female,0,0,28,United-States,>50K -31,Private,193215,Some-college,10,Married-civ-spouse,Exec-managerial,Own-child,White,Male,0,0,50,United-States,<=50K -18,Private,137363,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -43,Self-emp-inc,104892,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -30,Private,149427,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -19,State-gov,176634,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,183279,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,?,225775,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,202091,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,60,United-States,<=50K -36,Private,123151,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -22,Private,168187,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K -42,Federal-gov,33521,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -33,State-gov,243678,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,164898,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,?,262280,Some-college,10,Married-civ-spouse,?,Wife,White,Female,3781,0,40,United-States,<=50K -33,State-gov,290614,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -52,Self-emp-not-inc,199265,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -30,Private,207668,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -18,State-gov,30687,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K -24,State-gov,27939,Some-college,10,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,24,?,<=50K -17,Private,438996,10th,6,Never-married,Other-service,Other-relative,White,Male,0,0,40,Mexico,<=50K -48,Private,152915,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -66,?,186030,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K -46,Local-gov,297759,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Private,171242,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K -28,Private,206088,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,182792,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,167725,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,24,United-States,<=50K -43,Private,160674,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,194710,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,255027,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,204641,10th,6,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,50,United-States,<=50K -20,State-gov,177787,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -29,Private,54932,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,35,United-States,>50K -54,Self-emp-not-inc,91506,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K -34,Private,198634,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,227146,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -59,Private,135647,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -40,Private,55508,7th-8th,4,Divorced,Farming-fishing,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,174912,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,175925,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,157486,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -49,Local-gov,329144,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,44,United-States,>50K -67,?,81761,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,<=50K -49,Self-emp-not-inc,102318,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,25,United-States,<=50K -30,Federal-gov,266463,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -56,Federal-gov,107314,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -29,Private,114158,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,124052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,144301,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,42,United-States,<=50K -28,Private,176683,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,70,United-States,>50K -23,Private,234663,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,178948,HS-grad,9,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,50,United-States,<=50K -37,Self-emp-not-inc,607848,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -39,Private,202937,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -32,Federal-gov,83413,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,>50K -26,Private,212798,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -57,Federal-gov,192258,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,112497,9th,5,Married-civ-spouse,Sales,Own-child,White,Male,0,0,50,United-States,>50K -30,Private,97521,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -27,Private,160972,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,322931,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K -22,Private,403519,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -43,Local-gov,330174,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,278155,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,39054,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -57,Private,170287,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -42,Private,336643,Assoc-voc,11,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,264166,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,45,Columbia,<=50K -44,Local-gov,433705,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,>50K -28,Private,27044,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,<=50K -42,Private,165599,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -26,Private,159759,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,385092,Some-college,10,Divorced,Prof-specialty,Own-child,White,Female,0,0,36,United-States,<=50K -42,Private,188808,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Male,0,0,30,United-States,<=50K -30,Private,167476,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -21,State-gov,194096,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -59,Private,182460,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,>50K -21,?,102323,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -56,Private,232139,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,341741,Preschool,1,Never-married,Other-service,Not-in-family,White,Female,0,0,12,United-States,<=50K -21,Private,206008,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,50,United-States,<=50K -48,Private,344415,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,37,United-States,>50K -35,State-gov,372130,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K -43,Private,27766,Bachelors,13,Separated,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,>50K -23,Private,140764,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -17,?,161259,10th,6,Never-married,?,Other-relative,White,Male,0,0,12,United-States,<=50K -41,Private,22201,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,>50K -35,Self-emp-inc,187046,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -22,Private,137591,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -53,Private,274276,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,341757,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,218542,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -44,Local-gov,190020,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,221436,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Cuba,>50K -39,Self-emp-not-inc,52187,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,158776,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -34,Local-gov,51543,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K -17,Private,146329,12th,8,Never-married,Sales,Own-child,White,Female,0,0,23,United-States,<=50K -31,Private,397467,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,105592,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,12,United-States,<=50K -39,Private,78171,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -46,State-gov,55377,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -31,Private,258932,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,80,Italy,<=50K -27,Private,38606,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1504,45,United-States,<=50K -18,Private,219841,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K -46,Private,156926,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -55,Private,160362,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -48,Private,192161,Bachelors,13,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,43,United-States,<=50K -53,Private,208570,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,26,United-States,<=50K -44,Self-emp-not-inc,182771,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,48,South,>50K -43,Private,151089,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -50,Private,163002,HS-grad,9,Separated,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -56,Private,155657,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,20,Yugoslavia,<=50K -27,Private,217530,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -20,Private,244406,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -18,Local-gov,152182,10th,6,Never-married,Protective-serv,Own-child,White,Female,0,0,6,United-States,<=50K -34,Private,55717,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,50,United-States,>50K -38,Private,201454,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Self-emp-inc,144371,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,15,United-States,<=50K -55,Private,277034,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,462832,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,Black,Female,0,0,40,United-States,>50K -26,Private,200681,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -54,State-gov,119565,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Puerto-Rico,>50K -22,Private,192017,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -52,Local-gov,84808,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -33,Private,100154,10th,6,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,169383,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -19,Without-pay,43887,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,10,United-States,<=50K -45,Private,54260,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,99,United-States,<=50K -53,Self-emp-not-inc,159876,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,3103,0,72,United-States,<=50K -46,Private,160474,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,1590,43,United-States,<=50K -25,Private,476334,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -90,Private,52386,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -33,Private,83671,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K -45,Private,172960,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,70,United-States,<=50K -47,Private,191957,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K -38,Local-gov,40955,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,43,United-States,<=50K -35,?,98080,Prof-school,15,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,4787,0,45,Japan,>50K -37,Private,175643,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -53,State-gov,197184,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -56,Private,187295,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -18,Private,40822,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -44,Private,228729,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,?,<=50K -50,Private,240496,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,36,United-States,<=50K -26,Private,51961,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,20,United-States,<=50K -36,Private,174887,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,95855,11th,7,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,362259,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,30916,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -62,Private,153148,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,84,United-States,<=50K -46,Private,167915,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,45156,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,2174,0,41,United-States,<=50K -37,Private,98776,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,15,United-States,<=50K -27,Private,209801,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,?,<=50K -38,Private,183800,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,54595,12th,8,Never-married,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K -34,Private,79637,Bachelors,13,Never-married,Exec-managerial,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -50,Private,126566,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -28,Private,233796,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,7298,0,32,United-States,>50K -67,Local-gov,191800,Bachelors,13,Divorced,Adm-clerical,Unmarried,Black,Female,6360,0,35,United-States,<=50K -34,Self-emp-not-inc,527162,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -19,Private,139466,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -23,Private,64520,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -50,Private,97741,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -45,Local-gov,160173,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -17,Private,350995,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -59,?,182836,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,>50K -25,Private,143267,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,48,United-States,<=50K -21,Private,346341,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,172175,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -17,Private,153035,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -63,Private,200127,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Local-gov,204470,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,43,United-States,<=50K -45,Private,353012,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,194342,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,57898,12th,8,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,164707,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,?,<=50K -42,Private,269028,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,France,<=50K -56,Private,83922,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -47,Private,160647,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Female,0,0,46,United-States,<=50K -69,Private,125437,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -42,Private,246011,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,55,United-States,<=50K -19,Private,216937,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Other,Female,0,0,60,Guatemala,<=50K -56,Self-emp-not-inc,66356,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,154981,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,50,United-States,>50K -61,Federal-gov,197311,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,301743,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -50,Self-emp-not-inc,401118,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,50,United-States,>50K -39,Private,98776,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -35,Self-emp-not-inc,32528,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -27,Private,177119,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,44,United-States,<=50K -40,Self-emp-inc,193524,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -59,State-gov,192258,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,?,145917,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,15,United-States,<=50K -42,Federal-gov,214838,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,30,United-States,>50K -59,Private,176011,Some-college,10,Separated,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -54,Self-emp-inc,147239,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -38,Private,159179,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -53,Private,155963,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -20,Private,360457,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,30,United-States,<=50K -54,Federal-gov,114674,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -41,Self-emp-not-inc,95708,Masters,14,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,45,United-States,>50K -33,Local-gov,100734,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,55,United-States,<=50K -35,Private,188972,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K -22,Private,162667,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,Portugal,<=50K -45,Self-emp-not-inc,28497,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1485,70,United-States,>50K -29,Private,180758,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Self-emp-not-inc,346635,Masters,14,Divorced,Sales,Unmarried,White,Female,0,2339,60,United-States,<=50K -23,Private,46645,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K -30,Private,203258,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -17,Private,134480,11th,7,Never-married,Priv-house-serv,Own-child,White,Female,0,0,25,United-States,<=50K -35,Local-gov,85548,Some-college,10,Separated,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -25,Private,195994,1st-4th,2,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,Guatemala,<=50K -42,State-gov,148316,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -42,Private,227466,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K -19,Private,68552,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -32,Private,252257,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -44,Private,30126,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -53,Private,304353,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,>50K -47,Self-emp-not-inc,171968,Bachelors,13,Widowed,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,60,Thailand,<=50K -24,Private,205839,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -30,State-gov,218640,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,>50K -42,Private,150568,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K -19,Private,382738,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -37,Self-emp-not-inc,138940,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,37,United-States,<=50K -26,Self-emp-not-inc,258306,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K -25,Local-gov,190107,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,1719,16,United-States,<=50K -52,Private,152373,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -50,Local-gov,141875,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,79586,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,99999,0,40,?,>50K -32,Private,157289,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -37,Private,184498,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -42,Local-gov,109684,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1741,35,United-States,<=50K -47,Private,199832,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,23545,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,175710,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -27,Private,52028,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,40,South,<=50K -61,Self-emp-not-inc,315977,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -47,Private,202322,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -30,Private,251825,Assoc-acdm,12,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -54,Private,202115,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,>50K -56,Local-gov,216824,Prof-school,15,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -69,Private,145656,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,24,United-States,<=50K -30,Private,137076,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -36,Private,152621,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,>50K -42,Self-emp-not-inc,27242,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -45,Federal-gov,358242,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -39,Private,184117,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,20,United-States,>50K -26,Private,300290,11th,7,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -28,Local-gov,149991,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,42,United-States,>50K -31,Private,189759,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -32,Private,339482,5th-6th,3,Separated,Farming-fishing,Other-relative,White,Male,0,0,60,Mexico,<=50K -51,Private,100933,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K -29,Private,354558,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -38,Local-gov,162613,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,2258,60,United-States,<=50K -64,Private,285052,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,10,United-States,<=50K -26,State-gov,175044,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -68,Private,45508,5th-6th,3,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,22,United-States,<=50K -32,Private,173351,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -29,Private,173611,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -51,?,182543,1st-4th,2,Separated,?,Unmarried,White,Female,0,0,40,Mexico,<=50K -21,Private,143062,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -26,?,137951,10th,6,Separated,?,Other-relative,White,Female,0,0,40,Puerto-Rico,<=50K -33,Local-gov,293063,Bachelors,13,Married-spouse-absent,Prof-specialty,Other-relative,Black,Male,0,0,40,?,<=50K -26,Private,377754,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,152373,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2105,0,40,United-States,<=50K -31,Private,193477,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -29,Local-gov,277323,HS-grad,9,Never-married,Protective-serv,Unmarried,White,Male,0,0,45,United-States,<=50K -19,Private,69182,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,27,United-States,<=50K -51,Private,219599,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -45,Private,129371,9th,5,Separated,Other-service,Unmarried,Other,Female,0,0,40,Trinadad&Tobago,<=50K -20,Private,470875,HS-grad,9,Married-civ-spouse,Sales,Own-child,Black,Male,0,0,32,United-States,<=50K -40,Private,201734,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,48,United-States,<=50K -43,Private,58447,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,55,United-States,>50K -52,Local-gov,91689,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,166546,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,24,United-States,<=50K -24,Private,293324,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,219262,9th,5,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -38,Self-emp-not-inc,403391,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -44,Private,367749,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Mexico,<=50K -24,Private,128487,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,State-gov,111363,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,75,United-States,>50K -49,Private,240869,7th-8th,4,Never-married,Other-service,Other-relative,White,Male,0,0,35,United-States,<=50K -36,Private,163278,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,416415,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -46,?,280030,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,40,Mexico,<=50K -46,Private,251243,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Local-gov,167159,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,70,United-States,>50K -29,Private,161857,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,Other,Female,0,0,40,Columbia,<=50K -37,Private,160035,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,?,190205,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K -28,?,161290,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K -28,Self-emp-not-inc,112403,Bachelors,13,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,238726,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Private,164530,11th,7,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,20,United-States,<=50K -19,Private,456572,HS-grad,9,Never-married,Farming-fishing,Other-relative,White,Male,0,0,35,United-States,<=50K -31,Self-emp-not-inc,177675,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -47,Private,246739,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,55,United-States,>50K -37,Private,102953,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,?,224238,Some-college,10,Never-married,?,Own-child,White,Male,0,0,2,United-States,<=50K -46,Private,155489,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K -51,Self-emp-not-inc,156802,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,3103,0,60,United-States,>50K -50,Private,168212,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,45,United-States,>50K -38,Private,331395,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,3942,0,84,Portugal,<=50K -40,Local-gov,261497,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,35,United-States,<=50K -58,Private,365511,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Other,Male,0,0,40,Mexico,<=50K -36,Private,187999,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Local-gov,190350,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,35,United-States,<=50K -17,?,166759,12th,8,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -49,Private,168262,10th,6,Divorced,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K -39,State-gov,122011,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,5178,0,38,United-States,>50K -46,Private,165953,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -26,Private,375980,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,37,United-States,<=50K -40,Federal-gov,406463,Masters,14,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,State-gov,231472,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -60,Self-emp-not-inc,78913,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,69107,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -22,?,182387,Some-college,10,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,12,Thailand,<=50K -31,Private,169002,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,55,United-States,<=50K -45,Private,229967,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,13550,0,50,United-States,>50K -34,Private,422836,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,Mexico,<=50K -27,State-gov,230922,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,Scotland,<=50K -40,Private,195892,Some-college,10,Divorced,Transport-moving,Not-in-family,Black,Female,0,0,40,United-States,<=50K -68,Private,163346,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,32,United-States,<=50K -51,Private,82566,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -55,Private,86505,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,<=50K -43,Private,178780,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -23,State-gov,173945,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,27,United-States,<=50K -48,Private,176810,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -42,Self-emp-inc,23813,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,2885,0,30,United-States,<=50K -51,Self-emp-inc,210736,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,10520,0,40,United-States,>50K -32,Private,343789,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5013,0,55,United-States,<=50K -34,Private,113838,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -31,Local-gov,121055,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,>50K -71,?,52171,7th-8th,4,Divorced,?,Unmarried,White,Male,0,0,45,United-States,<=50K -17,Private,566049,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,8,United-States,<=50K -37,Private,67433,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -26,Private,39014,12th,8,Married-civ-spouse,Priv-house-serv,Wife,Other,Female,0,0,40,Dominican-Republic,<=50K -17,Private,51939,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -34,Private,100669,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -46,Private,155659,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K -33,Private,112847,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -41,Local-gov,32185,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -59,Private,138370,10th,6,Married-spouse-absent,Protective-serv,Not-in-family,Asian-Pac-Islander,Male,0,0,40,India,<=50K -50,Self-emp-not-inc,172281,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -46,Private,180505,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -45,Private,168262,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,85126,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,113838,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,197457,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,1471,0,38,United-States,<=50K -28,Private,197905,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,316589,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Private,336367,Assoc-acdm,12,Never-married,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K -39,Self-emp-inc,143123,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2415,40,United-States,>50K -23,Private,209955,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,210013,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -37,Private,224541,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,275653,7th-8th,4,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Female,2977,0,40,Puerto-Rico,<=50K -45,Private,88061,11th,7,Married-spouse-absent,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Female,0,0,40,South,<=50K -43,Federal-gov,195897,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,7298,0,40,United-States,>50K -49,Private,43206,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,>50K -37,Private,202950,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -26,Private,154093,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -34,Private,112115,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,55,United-States,>50K -51,Private,355954,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -24,Private,379418,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -67,Self-emp-not-inc,286372,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,48087,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,45,United-States,>50K -32,Private,387270,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -21,Private,270043,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -39,Self-emp-not-inc,65738,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,>50K -33,Private,159888,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,278039,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -21,Private,265434,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K -68,Self-emp-inc,52052,Assoc-voc,11,Widowed,Sales,Not-in-family,White,Female,25124,0,50,United-States,>50K -24,Private,208882,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -24,Private,229393,11th,7,Never-married,Farming-fishing,Unmarried,White,Male,2463,0,40,United-States,<=50K -23,Private,53513,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,45,United-States,<=50K -40,Private,225193,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,63,United-States,<=50K -48,Private,166809,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -42,Self-emp-not-inc,175674,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -45,Federal-gov,368947,Bachelors,13,Never-married,Protective-serv,Not-in-family,Black,Female,0,0,40,United-States,<=50K -31,Private,194901,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -53,Private,203173,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,267431,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,55,United-States,<=50K -32,Private,111836,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,50,United-States,<=50K -34,Private,198613,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,?,<=50K -41,Self-emp-inc,149102,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -57,Local-gov,121111,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,130397,10th,6,Never-married,Farming-fishing,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -40,Private,212847,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2179,40,United-States,<=50K -17,Private,184198,11th,7,Never-married,Sales,Own-child,White,Female,0,0,13,United-States,<=50K -17,Private,121287,9th,5,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -82,Self-emp-inc,120408,Some-college,10,Widowed,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K -40,Private,164678,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K -26,Private,388812,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,35,United-States,<=50K -37,Private,294919,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,101684,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -65,Private,36209,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,22,United-States,>50K -39,Private,123983,Bachelors,13,Divorced,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,40,China,<=50K -36,Self-emp-not-inc,340001,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,203828,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -23,Private,183789,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,305619,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -63,Self-emp-not-inc,174181,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -59,Private,131869,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -49,Self-emp-not-inc,43479,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -62,?,203126,9th,5,Never-married,?,Unmarried,White,Female,0,0,40,Dominican-Republic,<=50K -17,Private,118792,11th,7,Never-married,Sales,Own-child,White,Female,0,0,9,United-States,<=50K -28,Private,272913,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,Mexico,<=50K -45,Federal-gov,222011,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -40,Self-emp-inc,301007,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -45,Private,197731,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,173736,9th,5,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -19,?,182590,10th,6,Never-married,?,Not-in-family,White,Female,0,0,38,United-States,<=50K -59,Local-gov,93211,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,22,United-States,>50K -41,Private,24763,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,7443,0,40,United-States,<=50K -49,Local-gov,219021,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,48,United-States,>50K -37,Private,137229,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,>50K -31,Self-emp-not-inc,281030,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -21,Private,234108,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,46868,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,15,United-States,<=50K -20,?,162667,HS-grad,9,Never-married,?,Other-relative,White,Male,0,0,40,El-Salvador,<=50K -51,Private,173291,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,305160,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -48,Private,212954,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -39,Local-gov,112284,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,164198,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,15024,0,45,United-States,>50K -41,Private,152958,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -21,Private,145389,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K -54,Self-emp-inc,119570,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -40,Private,272343,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -44,Private,187720,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,United-States,<=50K -50,Private,145409,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -42,Private,208726,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -34,Private,203488,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,330416,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,25803,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,171150,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -37,Private,82576,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,14084,0,36,United-States,>50K -30,Private,329425,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,185452,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -21,Private,201179,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,182268,Preschool,1,Married-spouse-absent,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -56,Self-emp-not-inc,95763,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -48,Private,125892,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Poland,<=50K -21,Private,121407,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,36,United-States,<=50K -52,Private,373367,11th,7,Widowed,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Local-gov,165982,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -45,Private,165484,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -30,Private,156890,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -31,Private,156763,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,2829,0,40,United-States,<=50K -43,Private,244172,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,35,?,<=50K -36,Private,219814,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Guatemala,<=50K -42,Private,171841,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -28,Local-gov,168524,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,35,United-States,>50K -62,Private,205643,Prof-school,15,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -65,?,174904,HS-grad,9,Separated,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,102559,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,>50K -47,Private,60267,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K -43,Private,388725,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,215712,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -44,Private,171722,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,39,United-States,<=50K -25,Private,193051,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,25,United-States,<=50K -21,Private,305446,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,146949,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,<=50K -21,Private,322144,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Self-emp-inc,75742,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,El-Salvador,>50K -64,?,380687,Bachelors,13,Married-civ-spouse,?,Wife,Black,Female,0,0,8,United-States,<=50K -55,Self-emp-not-inc,95149,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,<=50K -42,Private,68469,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -63,Self-emp-not-inc,27653,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -21,Private,410439,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,24,United-States,<=50K -28,Private,37821,Assoc-voc,11,Never-married,Sales,Unmarried,White,Female,0,0,55,?,<=50K -45,Private,228570,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,35,United-States,<=50K -21,Private,141453,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -34,Private,88215,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,China,>50K -53,Private,48641,12th,8,Never-married,Other-service,Not-in-family,Other,Female,0,0,35,United-States,<=50K -45,Private,185385,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,341471,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,4,United-States,<=50K -41,Private,163322,11th,7,Divorced,Exec-managerial,Unmarried,White,Female,0,0,36,United-States,<=50K -35,Private,99357,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1977,30,United-States,>50K -43,Self-emp-inc,602513,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -53,Local-gov,287192,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,32,Mexico,<=50K -34,Private,215047,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -46,Federal-gov,97863,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,5178,0,40,United-States,>50K -59,Private,308118,Assoc-acdm,12,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -53,Private,137192,Bachelors,13,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Male,0,0,50,United-States,<=50K -33,Private,275369,7th-8th,4,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,35,Haiti,<=50K -45,Private,99971,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -48,Self-emp-inc,103713,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -42,Private,253770,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -55,Private,162205,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,72,United-States,>50K -46,Self-emp-not-inc,31267,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -17,Private,198146,11th,7,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K -23,Private,178207,Some-college,10,Never-married,Handlers-cleaners,Unmarried,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K -21,Private,317175,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -53,Federal-gov,221791,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -61,Self-emp-inc,187124,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,>50K -58,State-gov,280519,HS-grad,9,Divorced,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -36,Private,207568,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -45,Local-gov,192684,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,38,United-States,<=50K -39,Private,103260,Bachelors,13,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,30,United-States,>50K -39,Private,191227,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,13550,0,50,United-States,>50K -48,Self-emp-inc,382242,Doctorate,16,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -41,Private,106900,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,<=50K -30,Private,48520,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2002,40,United-States,<=50K -50,Private,55527,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,45,United-States,<=50K -51,Self-emp-not-inc,246820,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,48,United-States,>50K -23,Private,33884,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,29762,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -47,Federal-gov,168109,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,70,United-States,<=50K -51,Private,207449,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -60,Self-emp-inc,189098,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,194259,Bachelors,13,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Local-gov,194630,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Local-gov,179681,HS-grad,9,Never-married,Transport-moving,Own-child,White,Female,0,0,37,United-States,<=50K -42,State-gov,136996,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,48,United-States,<=50K -32,Private,143604,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,16,United-States,<=50K -19,Private,243373,12th,8,Never-married,Sales,Other-relative,White,Male,1055,0,40,United-States,<=50K -34,Private,261799,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,45,United-States,>50K -48,Private,143281,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,48,United-States,<=50K -38,Private,185556,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,<=50K -38,Private,111499,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -40,Self-emp-not-inc,280433,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -39,Private,37314,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -38,Private,103408,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,?,<=50K -26,Private,270151,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,State-gov,96748,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K -20,Private,164775,5th-6th,3,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Guatemala,<=50K -49,Private,190319,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,Philippines,<=50K -23,Private,213115,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -47,Private,156926,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,Canada,>50K -43,Private,112967,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,35373,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -60,Self-emp-not-inc,220342,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -29,Private,163167,HS-grad,9,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,404951,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,38,United-States,<=50K -39,Private,122032,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,143582,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,Other,Female,4101,0,35,United-States,<=50K -38,Private,108140,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,2202,0,45,United-States,<=50K -47,Private,251508,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,36,United-States,<=50K -50,Self-emp-not-inc,197054,Prof-school,15,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -64,Self-emp-not-inc,36960,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -35,Private,165930,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,?,178960,11th,7,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,214503,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K -51,Private,110458,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,202125,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Self-emp-not-inc,284329,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -29,Private,192924,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,340917,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,2829,0,50,?,<=50K -37,Private,340614,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -20,Private,196678,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -18,Private,266489,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -57,Private,61474,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,45,United-States,>50K -47,?,99127,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -27,Private,215955,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,2829,0,40,United-States,<=50K -23,Self-emp-inc,215395,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -36,Self-emp-inc,183898,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -48,Private,97176,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -40,Private,145160,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,<=50K -51,Private,357949,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,16,United-States,<=50K -59,Private,177120,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,288229,Some-college,10,Married-civ-spouse,Sales,Other-relative,Asian-Pac-Islander,Female,0,0,40,Greece,<=50K -39,Private,509060,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,47932,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,103925,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -44,State-gov,183829,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -51,Private,138852,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,188186,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,20,Hungary,<=50K -22,Private,34616,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -19,Private,220819,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Female,0,0,40,United-States,<=50K -31,Federal-gov,281540,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K -53,Private,47396,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,141350,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -19,Private,331433,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,32,United-States,<=50K -40,Federal-gov,346532,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -21,Private,241367,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K -39,Private,216256,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Italy,>50K -40,Local-gov,153031,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,35,United-States,>50K -36,Private,116138,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,<=50K -18,Private,193166,9th,5,Never-married,Sales,Own-child,White,Female,0,0,42,United-States,<=50K -32,Self-emp-inc,275094,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,55,Mexico,>50K -50,Private,81548,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,167979,11th,7,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -19,Private,67759,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,43,United-States,<=50K -53,Private,200190,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -49,Private,403112,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,32,United-States,<=50K -40,Private,214891,Bachelors,13,Married-spouse-absent,Transport-moving,Own-child,Other,Male,0,0,45,?,<=50K -31,Private,142675,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,88500,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -35,Local-gov,145308,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -47,Local-gov,204377,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -43,Self-emp-not-inc,260696,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -51,Private,231181,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,21,United-States,<=50K -54,Private,260052,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -76,Local-gov,178665,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -33,Private,226267,7th-8th,4,Never-married,Sales,Not-in-family,White,Male,0,0,43,Mexico,<=50K -19,Private,111232,12th,8,Never-married,Transport-moving,Own-child,White,Male,0,0,15,United-States,<=50K -49,Private,87928,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -26,Private,212748,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,110677,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -49,Private,139268,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -24,Private,306779,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K -48,Private,318331,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -36,State-gov,143385,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,288273,12th,8,Separated,Adm-clerical,Unmarried,White,Female,1471,0,40,United-States,<=50K -31,Private,167725,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,15024,0,48,Philippines,>50K -53,Private,94081,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K -22,Private,194723,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -43,Private,163985,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,189759,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Italy,<=50K -53,State-gov,195922,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Federal-gov,54159,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -47,Local-gov,166863,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -52,Private,104501,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Germany,>50K -39,Private,210626,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,448026,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -17,Local-gov,170916,10th,6,Never-married,Protective-serv,Own-child,White,Female,0,1602,40,United-States,<=50K -53,Local-gov,283602,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,40,United-States,>50K -21,Private,189749,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,90934,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,64,Philippines,>50K -34,State-gov,253121,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,181776,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,Private,162397,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -20,Private,70708,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K -47,State-gov,103406,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,224658,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -26,Local-gov,213451,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,10,Jamaica,<=50K -53,Private,139671,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Private,36201,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -39,Private,237713,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,2415,99,United-States,>50K -17,Local-gov,173497,11th,7,Never-married,Prof-specialty,Own-child,Black,Male,0,0,15,United-States,<=50K -46,Private,375606,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -34,Private,203488,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -45,Self-emp-not-inc,107231,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,France,<=50K -23,Private,216811,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K -41,Private,288679,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,105516,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Self-emp-not-inc,282972,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,4,United-States,<=50K -18,Self-emp-inc,117372,11th,7,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -38,Private,112497,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -66,?,186032,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,2964,0,30,United-States,<=50K -28,Private,192384,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -49,Private,43348,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -29,Private,181822,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Local-gov,216070,Masters,14,Married-civ-spouse,Exec-managerial,Wife,Amer-Indian-Eskimo,Female,0,0,50,United-States,>50K -34,State-gov,112062,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,218551,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -25,Private,404616,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -27,Private,169460,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,240081,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K -22,Private,147655,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,90277,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,?,<=50K -49,Private,60751,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,194636,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,50,United-States,<=50K -37,Self-emp-not-inc,154641,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,2105,0,50,United-States,<=50K -39,Private,491000,Bachelors,13,Never-married,Exec-managerial,Other-relative,Black,Male,0,0,45,United-States,<=50K -33,Private,399088,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Self-emp-not-inc,186909,Masters,14,Married-civ-spouse,Sales,Wife,White,Female,0,1902,35,United-States,>50K -65,Private,105491,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K -40,Private,34987,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,53,United-States,<=50K -26,?,167835,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K -31,Private,288983,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,266070,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -71,Private,110380,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,2467,52,United-States,<=50K -25,Local-gov,31873,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,294400,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -19,?,184308,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,30,United-States,<=50K -36,Self-emp-not-inc,175769,Prof-school,15,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -56,Private,182273,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,106541,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,138192,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -31,Private,196791,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K -22,Private,223019,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -44,Private,109273,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K -60,Self-emp-not-inc,95490,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -65,Private,149131,11th,7,Divorced,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -44,Private,219155,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,England,>50K -53,Local-gov,82783,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,214858,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,170230,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -40,Self-emp-inc,209344,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,15,?,<=50K -35,Private,90406,11th,7,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -41,Self-emp-inc,299813,9th,5,Married-civ-spouse,Sales,Wife,White,Female,0,0,70,Dominican-Republic,<=50K -28,Private,188064,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Canada,<=50K -53,Private,246117,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -26,Private,132749,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,45,United-States,<=50K -28,Local-gov,201099,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Female,0,0,40,United-States,<=50K -27,Private,97490,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,221252,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Female,0,0,8,United-States,<=50K -26,Private,116991,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -53,Private,161691,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -34,Private,107793,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,>50K -50,Self-emp-inc,194514,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,50,Trinadad&Tobago,<=50K -30,Private,278502,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,62,United-States,<=50K -47,Private,343742,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -27,?,204074,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Federal-gov,31965,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,143604,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,29,?,<=50K -35,Private,174308,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -31,Self-emp-not-inc,162551,12th,8,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,0,50,?,<=50K \ No newline at end of file diff --git a/baselines/flanders/flanders/datasets_files/adult_server.csv b/baselines/flanders/flanders/datasets_files/adult_server.csv deleted file mode 100644 index 244ac6be2c0a..000000000000 --- a/baselines/flanders/flanders/datasets_files/adult_server.csv +++ /dev/null @@ -1,9771 +0,0 @@ -age,workclass,fnlwgt,education,educational-num,marital-status,occupation,relationship,race,gender,capital-gain,capital-loss,hours-per-week,native-country,income -39,Self-emp-inc,372525,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -30,Private,75167,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -39,Private,176296,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,1887,40,United-States,>50K -19,Private,93518,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -25,?,126797,HS-grad,9,Married-spouse-absent,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Self-emp-not-inc,25124,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K -21,Private,112137,Some-college,10,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,0,20,South,<=50K -30,?,58798,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,0,44,United-States,<=50K -25,Self-emp-not-inc,21472,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,22,United-States,<=50K -32,Private,90969,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -26,Private,149734,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Female,0,1594,40,United-States,<=50K -42,Private,52849,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,106347,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,47,United-States,<=50K -48,Private,199735,Bachelors,13,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,44,Germany,<=50K -24,Private,488541,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K -46,Private,403911,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -53,Private,172991,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K -36,Federal-gov,210945,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,70,United-States,<=50K -34,Private,157446,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,45,United-States,<=50K -25,Private,109390,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,70,United-States,<=50K -33,Private,134886,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,99999,0,30,United-States,>50K -45,Private,144579,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -31,Federal-gov,203488,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,202871,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,20,United-States,<=50K -33,Private,175412,9th,5,Divorced,Craft-repair,Unmarried,White,Male,114,0,55,United-States,<=50K -44,Private,336906,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,177596,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,Puerto-Rico,>50K -30,Private,79448,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,10,United-States,<=50K -32,Local-gov,191731,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -46,?,233014,HS-grad,9,Divorced,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -29,Private,133937,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -20,Private,219211,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -35,State-gov,94529,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,247547,HS-grad,9,Separated,Prof-specialty,Other-relative,Black,Female,0,0,40,United-States,<=50K -29,Private,29361,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -21,Private,166851,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -43,Federal-gov,197069,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Philippines,>50K -33,Private,153588,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -61,Federal-gov,151369,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -42,Private,174112,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,520033,12th,8,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -35,State-gov,194828,Some-college,10,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -32,?,216908,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K -22,Private,126613,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -61,Private,26254,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,54042,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,2463,0,35,United-States,<=50K -24,Private,67804,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -58,Local-gov,53481,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -42,Private,412379,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,220187,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -26,?,256141,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,268222,HS-grad,9,Separated,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -59,Private,99131,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -65,Self-emp-not-inc,115498,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,3818,0,10,United-States,<=50K -57,Private,317847,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,2824,50,United-States,>50K -36,Private,98389,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K -42,Private,173704,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1887,50,United-States,>50K -18,?,211177,12th,8,Never-married,?,Other-relative,Black,Male,0,0,20,United-States,<=50K -18,Private,115443,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,65078,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -20,Private,24896,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K -19,Private,184710,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,30,United-States,<=50K -28,Private,410450,Bachelors,13,Divorced,Other-service,Unmarried,White,Female,0,0,48,England,>50K -37,Private,83893,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,113309,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Private,160625,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,47,United-States,<=50K -17,Local-gov,340043,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K -37,Local-gov,48976,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,4865,0,45,United-States,<=50K -29,State-gov,243875,Assoc-voc,11,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,554206,HS-grad,9,Separated,Transport-moving,Not-in-family,Black,Male,0,0,20,United-States,<=50K -36,Private,361888,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,>50K -37,Self-emp-not-inc,205359,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,15,United-States,<=50K -47,State-gov,167281,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,35663,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,Private,357437,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,390856,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,Mexico,<=50K -33,Federal-gov,331615,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,40,United-States,>50K -54,Private,202415,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -40,Private,180032,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1669,40,United-States,<=50K -40,Private,77247,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -40,Local-gov,101795,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,42,United-States,<=50K -35,Private,272019,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2057,40,United-States,<=50K -32,Private,198068,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,199326,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -31,Private,178841,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Private,136951,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -26,Self-emp-inc,109240,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -35,Self-emp-not-inc,128876,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,103358,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,India,<=50K -43,Private,354408,12th,8,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -32,Private,206051,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,35,United-States,<=50K -45,Private,155659,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -48,Private,143299,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -31,Private,252210,5th-6th,3,Never-married,Other-service,Own-child,White,Male,0,0,40,Mexico,<=50K -20,?,129240,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -28,Private,398918,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Self-emp-not-inc,240612,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -22,Private,429346,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,40,United-States,<=50K -19,Private,123718,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -38,Private,455379,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,63,United-States,>50K -23,Private,376416,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -24,Self-emp-inc,234663,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,282142,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -45,State-gov,208049,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -88,Private,68539,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,126501,11th,7,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,15,South,<=50K -24,Private,186452,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -84,?,127184,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -48,Private,165267,10th,6,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K -46,Private,124733,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -31,Self-emp-inc,149726,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -58,Private,41374,HS-grad,9,Widowed,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -35,Local-gov,329759,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,212433,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -36,Private,185099,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -47,Local-gov,126754,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -57,Private,122497,9th,5,Widowed,Other-service,Unmarried,Black,Male,0,0,52,?,<=50K -30,Private,118056,Some-college,10,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -30,Local-gov,200892,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -19,?,200790,12th,8,Married-civ-spouse,?,Other-relative,White,Female,15024,0,40,United-States,>50K -30,Self-emp-inc,84119,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,43,United-States,<=50K -23,Local-gov,197918,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,>50K -41,Self-emp-not-inc,150533,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -52,Private,443742,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -27,Private,104423,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Private,169133,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -21,Private,185551,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,36,United-States,<=50K -60,Private,174486,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -69,State-gov,50468,Prof-school,15,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,34,United-States,>50K -24,Private,196943,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,120691,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,25,United-States,<=50K -60,State-gov,198815,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,Mexico,<=50K -64,Private,22186,Some-college,10,Widowed,Tech-support,Not-in-family,White,Female,0,0,35,United-States,<=50K -39,Self-emp-inc,188069,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -51,Private,233149,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -51,Private,138358,10th,6,Divorced,Craft-repair,Not-in-family,Black,Female,0,0,35,United-States,<=50K -25,Private,338013,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,?,332666,10th,6,Never-married,?,Own-child,White,Female,0,0,4,United-States,<=50K -37,Private,166339,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -74,Self-emp-not-inc,392886,HS-grad,9,Widowed,Farming-fishing,Not-in-family,White,Female,0,0,14,United-States,<=50K -26,State-gov,141838,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -23,Private,520759,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,30,United-States,<=50K -57,Self-emp-inc,37345,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,>50K -20,Private,387779,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,15,United-States,<=50K -37,Private,201531,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,123598,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,380614,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K -40,Private,83859,HS-grad,9,Widowed,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K -50,State-gov,24790,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,266820,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,35,Mexico,<=50K -44,Private,85440,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -41,Private,421837,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,404062,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,15,United-States,>50K -38,Private,224566,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -54,Private,294991,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -40,Federal-gov,189610,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,52,United-States,<=50K -37,Private,219141,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,7688,0,40,United-States,>50K -46,Federal-gov,20956,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -38,Private,70995,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -20,Private,215232,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,10,United-States,<=50K -71,?,178295,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,3,United-States,<=50K -35,Private,56201,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -62,Private,98076,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -34,Private,351810,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Cuba,<=50K -56,Self-emp-not-inc,144351,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,90,United-States,<=50K -30,State-gov,137613,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,20,Taiwan,<=50K -17,Private,54257,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -18,Self-emp-not-inc,230373,11th,7,Never-married,Other-service,Own-child,White,Female,594,0,4,United-States,<=50K -35,Private,98389,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,184135,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,1,United-States,<=50K -46,Self-emp-not-inc,140121,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -33,Self-emp-not-inc,24504,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -27,Private,129528,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,415578,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Private,97142,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,201328,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,256620,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Federal-gov,96854,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -44,State-gov,141858,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,75,United-States,>50K -51,Federal-gov,20795,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,40,United-States,>50K -53,Private,95519,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K -47,Private,112791,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,291407,11th,7,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -32,Private,239659,Some-college,10,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,70,United-States,<=50K -28,Private,183151,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -58,?,97634,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,143807,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,186934,Masters,14,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -30,Private,170065,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,108328,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,6849,0,50,United-States,<=50K -56,State-gov,83696,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,38,?,<=50K -21,Private,204596,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -56,?,32604,Some-college,10,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -56,Private,193453,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,65,United-States,>50K -45,Private,148995,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,40,United-States,>50K -20,Private,85041,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K -62,Local-gov,140851,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -24,Private,196280,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -52,Federal-gov,38973,Bachelors,13,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,39182,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,198841,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -40,Private,694812,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,247444,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Nicaragua,<=50K -41,Private,294270,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K -59,Private,195820,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -27,Private,329426,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,37,United-States,<=50K -19,?,174871,Some-college,10,Never-married,?,Own-child,White,Male,0,0,23,United-States,<=50K -41,Private,116103,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -27,Private,206903,Bachelors,13,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,35,United-States,<=50K -50,Private,217577,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,337693,5th-6th,3,Never-married,Other-service,Own-child,White,Female,0,0,40,El-Salvador,<=50K -38,Private,204501,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -30,Private,169186,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,60,United-States,<=50K -48,Private,109421,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -39,Local-gov,267893,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,Black,Male,7298,0,40,United-States,>50K -40,Private,200479,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -27,Local-gov,221317,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -59,Self-emp-not-inc,132925,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -31,?,283531,HS-grad,9,Divorced,?,Unmarried,Black,Female,0,0,20,United-States,<=50K -34,Private,170769,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -47,Self-emp-inc,186410,Prof-school,15,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,>50K -64,Self-emp-inc,307786,1st-4th,2,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -29,Private,380560,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -38,Local-gov,147258,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,212894,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K -49,Private,124356,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -53,Private,98791,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,216473,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -70,?,135339,Bachelors,13,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -38,Private,107303,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,152744,Bachelors,13,Divorced,Sales,Other-relative,Asian-Pac-Islander,Female,0,0,40,South,<=50K -34,Self-emp-not-inc,100079,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,55,India,<=50K -24,Private,117779,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,10,Hungary,<=50K -23,Private,197613,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,411068,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -47,Private,192984,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -59,Private,66356,7th-8th,4,Never-married,Farming-fishing,Unmarried,White,Male,4865,0,40,United-States,<=50K -33,Federal-gov,137184,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,>50K -63,Self-emp-not-inc,231105,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,35,United-States,>50K -18,Local-gov,146586,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,60,United-States,<=50K -32,Private,32406,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -33,Private,578701,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,?,<=50K -19,Private,206777,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -27,Local-gov,133495,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,34722,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,>50K -38,Self-emp-not-inc,133299,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,24967,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,47,United-States,<=50K -35,Self-emp-not-inc,171968,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K -22,Private,412156,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,51290,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -34,Private,198265,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,3103,0,40,United-States,>50K -23,Private,293565,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,226288,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Self-emp-inc,110445,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -34,Private,160634,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -39,Private,174242,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,390316,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -18,Private,298860,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -65,Private,171584,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,232664,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -64,Private,63676,10th,6,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -68,Private,170376,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -56,Self-emp-not-inc,175964,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -68,Federal-gov,422013,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,3683,40,United-States,<=50K -35,Private,105813,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K -50,Federal-gov,306707,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,12,United-States,<=50K -45,Private,177543,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,28,United-States,<=50K -43,Private,320277,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,129495,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -37,Private,257042,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,1506,0,40,United-States,<=50K -45,Private,275995,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -20,?,86318,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K -36,Private,280440,Assoc-acdm,12,Never-married,Tech-support,Unmarried,White,Female,0,0,45,United-States,<=50K -26,Private,371556,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,408229,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K -47,Private,149337,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,<=50K -34,Private,209297,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,2001,40,United-States,<=50K -53,Private,355802,Some-college,10,Widowed,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -32,Private,165949,Bachelors,13,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,1590,42,United-States,<=50K -44,Self-emp-not-inc,112507,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,462869,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -35,Private,413648,5th-6th,3,Never-married,Farming-fishing,Unmarried,White,Male,0,0,36,United-States,<=50K -34,Private,29235,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,149823,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,39530,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,4,United-States,<=50K -23,Private,197387,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,37,Mexico,<=50K -56,Local-gov,255406,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,43764,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -38,Private,168322,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -46,Private,278322,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -47,Private,115813,Assoc-acdm,12,Separated,Adm-clerical,Unmarried,White,Female,0,0,57,United-States,<=50K -38,Self-emp-not-inc,184456,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,3464,0,80,Italy,<=50K -42,Private,289636,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,46,United-States,<=50K -48,Private,101684,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,133425,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -40,Private,349405,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,<=50K -53,Private,124076,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,99999,0,37,United-States,>50K -75,Self-emp-not-inc,165968,Assoc-voc,11,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K -39,Private,185099,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K -46,Federal-gov,268281,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,154949,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -34,Private,176711,HS-grad,9,Divorced,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,165064,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,213750,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -45,Self-emp-not-inc,77132,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K -21,Private,109667,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,162164,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -40,Private,219591,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -20,?,327462,10th,6,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -68,Private,236943,9th,5,Divorced,Farming-fishing,Not-in-family,Black,Male,0,0,20,United-States,<=50K -40,Private,89226,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -20,Private,124751,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,24,United-States,<=50K -48,Local-gov,144122,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -27,Private,98769,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -57,Federal-gov,170066,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Self-emp-inc,162439,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,98,United-States,>50K -47,Private,22900,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Local-gov,102130,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -17,?,215743,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,381583,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,45,United-States,>50K -56,Local-gov,198277,12th,8,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,243178,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,28,United-States,<=50K -38,Local-gov,177305,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,<=50K -19,Private,167149,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -24,Private,270872,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,594,0,40,?,<=50K -31,Private,382368,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,Germany,<=50K -44,Local-gov,277144,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,60,United-States,<=50K -21,State-gov,145651,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,1602,12,United-States,<=50K -41,Private,171351,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,265099,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -23,Private,105617,9th,5,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -37,Local-gov,217689,Some-college,10,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,0,0,32,United-States,<=50K -46,?,81136,Assoc-voc,11,Divorced,?,Unmarried,White,Male,0,0,30,United-States,<=50K -43,Self-emp-not-inc,73883,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,45,United-States,<=50K -31,Private,339482,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -40,Private,326232,Some-college,10,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,>50K -27,Private,106316,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,12,United-States,<=50K -64,Local-gov,198728,Some-college,10,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -31,Federal-gov,126501,Assoc-voc,11,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,233802,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,45,United-States,<=50K -37,Self-emp-not-inc,204501,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,Canada,>50K -28,Private,208249,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,24,United-States,<=50K -42,Private,188693,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -60,Self-emp-inc,93272,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -17,Private,159299,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -21,?,303588,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -46,Private,35136,10th,6,Divorced,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -18,Private,139576,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,252355,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,27,United-States,<=50K -44,Self-emp-not-inc,83812,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -36,Private,89718,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -65,Private,222810,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,456618,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Mexico,<=50K -21,Private,296158,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K -41,Private,162140,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,2339,40,United-States,<=50K -28,Private,36601,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -27,Private,195337,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,State-gov,282721,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,12,United-States,<=50K -40,Private,206049,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,223392,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -40,Private,27821,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,2829,0,40,United-States,<=50K -37,Private,131827,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -33,Private,549413,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -34,Private,69491,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -44,Local-gov,193755,Assoc-acdm,12,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,598802,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -72,Local-gov,259762,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,2290,0,10,United-States,<=50K -19,Private,266255,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -59,Private,32954,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K -40,Private,291808,HS-grad,9,Divorced,Protective-serv,Not-in-family,Black,Female,0,0,40,United-States,<=50K -35,Private,190728,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,59184,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -41,Private,196456,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -59,Private,147989,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -50,Private,195784,12th,8,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -21,Private,202214,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,10,United-States,<=50K -40,Self-emp-inc,225165,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,54825,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,188905,5th-6th,3,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Mexico,<=50K -17,Private,132636,11th,7,Never-married,Transport-moving,Own-child,White,Female,0,0,16,United-States,<=50K -42,Local-gov,228320,7th-8th,4,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,415500,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K -19,Private,254247,12th,8,Never-married,Adm-clerical,Own-child,White,Male,0,0,38,?,<=50K -43,Private,255635,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Mexico,<=50K -46,Private,96080,9th,5,Separated,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -18,?,78181,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -50,Local-gov,339547,Prof-school,15,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Laos,>50K -47,Self-emp-not-inc,126500,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -31,Private,511289,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,2907,0,99,United-States,<=50K -33,Private,159574,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -27,Private,224105,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K -59,Self-emp-not-inc,128105,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -39,Local-gov,89508,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -29,Private,370242,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,67257,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -24,Private,62952,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,111058,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,1980,40,United-States,<=50K -30,Private,29235,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,20,United-States,<=50K -52,State-gov,101119,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -51,Federal-gov,140516,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -30,Private,159888,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K -19,?,45643,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -23,Private,166371,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,60,United-States,<=50K -37,State-gov,160910,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -25,State-gov,257064,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,38,United-States,<=50K -49,Self-emp-not-inc,181307,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,65,United-States,>50K -30,Private,83253,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -40,Private,128700,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,243010,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Other,Male,0,0,32,United-States,<=50K -35,Self-emp-not-inc,37778,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,3103,0,55,United-States,<=50K -24,Private,132320,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K -32,Private,234755,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -35,Private,142616,HS-grad,9,Separated,Other-service,Own-child,Black,Female,0,0,30,United-States,<=50K -20,Private,148509,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,State-gov,240738,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -25,Private,32276,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,28,United-States,<=50K -50,Local-gov,163921,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,464103,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -49,?,271346,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,15024,0,60,United-States,>50K -30,Local-gov,327825,HS-grad,9,Divorced,Protective-serv,Own-child,White,Female,0,0,32,United-States,<=50K -37,Private,267085,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,266945,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,3137,0,40,El-Salvador,<=50K -20,Private,234663,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -49,Self-emp-not-inc,189123,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,50,United-States,<=50K -55,Private,104996,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -61,Private,101265,12th,8,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,Italy,<=50K -22,Private,184975,HS-grad,9,Married-spouse-absent,Other-service,Own-child,White,Female,0,0,3,United-States,<=50K -23,Private,246965,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,12,United-States,<=50K -43,Private,227065,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,4650,0,40,United-States,<=50K -39,Private,301867,Bachelors,13,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,24,Philippines,<=50K -21,Private,185948,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -52,Self-emp-inc,134854,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -30,Private,281030,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K -42,Private,126701,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Male,9562,0,45,United-States,>50K -50,Self-emp-not-inc,95949,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -51,Self-emp-not-inc,88528,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,99,United-States,<=50K -47,Private,24723,10th,6,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,0,0,45,United-States,<=50K -49,?,171411,9th,5,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,184581,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -48,Federal-gov,100067,Some-college,10,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,Private,182863,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -20,Never-worked,462294,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -61,Private,85434,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -72,Private,158092,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -19,Private,104844,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -54,Self-emp-inc,304570,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,7688,0,40,?,>50K -47,?,89806,Some-college,10,Divorced,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K -39,Private,106183,HS-grad,9,Divorced,Other-service,Unmarried,Amer-Indian-Eskimo,Female,6849,0,40,United-States,<=50K -24,Private,89347,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,157236,Some-college,10,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,0,40,Poland,<=50K -19,Private,261259,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -20,Private,286166,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K -23,Private,122272,HS-grad,9,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K -58,Private,248739,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,53,United-States,>50K -20,Private,224238,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -62,Private,138157,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,12,United-States,<=50K -25,Private,148460,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,4416,0,40,Puerto-Rico,<=50K -67,Private,236627,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,2,United-States,<=50K -37,Local-gov,191364,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,France,>50K -36,Private,353524,HS-grad,9,Divorced,Exec-managerial,Own-child,White,Female,1831,0,40,United-States,<=50K -38,Private,391040,Assoc-voc,11,Separated,Tech-support,Unmarried,White,Female,0,0,20,United-States,<=50K -23,Private,134997,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,80,United-States,<=50K -28,Private,392487,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -25,Private,216724,HS-grad,9,Divorced,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,174395,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,55,United-States,>50K -63,Private,383058,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1848,40,United-States,>50K -60,Self-emp-not-inc,96073,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -31,Self-emp-inc,103435,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -29,Self-emp-not-inc,96718,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,37,United-States,<=50K -37,Private,178948,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,45,United-States,>50K -51,Private,173987,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,34419,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -27,Private,224849,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,249857,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -34,Private,340458,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -66,Self-emp-not-inc,427422,Doctorate,16,Married-civ-spouse,Sales,Husband,White,Male,0,2377,25,United-States,>50K -19,?,440417,Some-college,10,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -36,Private,175643,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -35,Private,297485,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,232954,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -29,Private,326330,Some-college,10,Divorced,Exec-managerial,Own-child,White,Female,1831,0,40,United-States,<=50K -25,Private,109419,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,127768,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,32,United-States,>50K -41,Private,252986,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -20,Private,380544,Assoc-acdm,12,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K -52,Private,306108,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,232855,Some-college,10,Separated,Other-service,Unmarried,Black,Female,0,0,37,United-States,<=50K -44,Private,130126,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -50,Private,194231,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,>50K -49,Self-emp-inc,197038,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -36,?,168223,Bachelors,13,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -71,State-gov,26109,Prof-school,15,Married-civ-spouse,Other-service,Husband,White,Male,0,0,28,United-States,<=50K -20,Private,285671,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,25,United-States,<=50K -20,Private,153583,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,?,<=50K -59,Self-emp-inc,103948,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -41,Private,439919,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,3411,0,40,Mexico,<=50K -38,Private,40319,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,42,United-States,<=50K -55,Local-gov,159028,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,98675,9th,5,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -45,Private,90758,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -43,Self-emp-not-inc,75435,HS-grad,9,Divorced,Craft-repair,Unmarried,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K -19,Private,219189,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -33,Private,203463,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -63,Private,187635,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,154641,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,8614,0,50,United-States,>50K -34,Private,27153,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,150324,Assoc-acdm,12,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -21,Private,83704,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,176262,Assoc-voc,11,Never-married,Adm-clerical,Other-relative,White,Female,0,0,36,United-States,<=50K -20,Private,179423,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,8,United-States,<=50K -45,Private,168038,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K -59,Private,108765,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -58,Private,146477,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,Greece,>50K -66,Local-gov,188220,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,>50K -37,Private,292855,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,35,United-States,>50K -29,Private,114870,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -32,State-gov,77723,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -39,Private,284166,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K -57,Private,133902,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -57,Private,191318,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -50,Self-emp-inc,67794,HS-grad,9,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -44,Self-emp-inc,357679,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,15024,0,65,United-States,>50K -56,Private,117872,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -26,Private,55929,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,48,United-States,<=50K -22,?,165065,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,Italy,<=50K -26,Self-emp-not-inc,34307,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,65,United-States,<=50K -33,Private,246038,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -36,Self-emp-not-inc,147258,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -45,Private,329144,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -56,Local-gov,52953,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,1669,38,United-States,<=50K -23,Private,216181,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,36,Iran,<=50K -23,Private,391171,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,25,United-States,<=50K -35,Local-gov,223242,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,103925,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,32,United-States,>50K -45,Private,38240,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,148444,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -56,State-gov,110257,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -31,Federal-gov,101345,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -44,Private,268098,12th,8,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,36,United-States,<=50K -21,?,369084,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,10,United-States,<=50K -31,Private,288825,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,5013,0,40,United-States,<=50K -20,Private,162688,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,38,United-States,<=50K -17,?,48751,11th,7,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K -44,Federal-gov,184099,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -19,Private,307496,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,23,United-States,<=50K -71,?,176986,HS-grad,9,Widowed,?,Unmarried,White,Male,0,0,24,United-States,<=50K -23,Private,267955,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,283969,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,Mexico,<=50K -29,State-gov,204516,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,United-States,<=50K -33,Private,167771,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -46,Private,345073,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,>50K -21,?,380219,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K -36,Self-emp-inc,306156,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K -70,Self-emp-not-inc,37203,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,9386,0,30,United-States,>50K -19,Private,185097,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,37,United-States,<=50K -29,Private,144808,Some-college,10,Married-civ-spouse,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K -34,Private,187203,Assoc-acdm,12,Never-married,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K -26,Private,125089,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,289458,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,144798,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,?,172152,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,0,0,25,Taiwan,<=50K -28,Private,207513,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,48,United-States,<=50K -24,?,164574,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -76,Private,199949,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,20051,0,50,United-States,>50K -19,Private,213024,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,213140,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,40,United-States,<=50K -24,Self-emp-not-inc,83374,Some-college,10,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,30,United-States,>50K -37,Private,192939,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -24,Private,424494,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -24,Private,215243,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K -40,Private,30682,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -20,Private,306639,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -23,Local-gov,218678,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,219130,Some-college,10,Never-married,Other-service,Not-in-family,Other,Female,0,0,40,United-States,<=50K -64,Private,180624,Assoc-acdm,12,Never-married,Prof-specialty,Other-relative,White,Female,0,0,30,United-States,<=50K -53,Local-gov,200190,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,55,United-States,>50K -28,Private,194472,Some-college,10,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -52,Local-gov,205767,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -28,Private,249870,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,50,United-States,<=50K -31,Private,211242,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -77,Private,149912,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,10,United-States,<=50K -22,Private,85389,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -17,?,806316,11th,7,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -38,Private,329980,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K -45,?,236612,11th,7,Divorced,?,Own-child,Black,Male,0,0,40,United-States,<=50K -25,Local-gov,249214,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -50,Private,257126,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -53,Local-gov,204397,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -24,Private,291979,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,138667,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -57,Federal-gov,42298,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,15024,0,40,United-States,>50K -39,Private,375452,Prof-school,15,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,48,United-States,>50K -30,Private,94413,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,30,United-States,<=50K -31,Federal-gov,166626,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -39,State-gov,326566,Some-college,10,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -30,Private,165503,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,65,United-States,<=50K -48,Private,102597,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,44,United-States,<=50K -62,?,113234,Masters,14,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -39,Private,177277,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -34,Private,198103,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,1980,40,United-States,<=50K -45,Private,260490,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -32,Private,237478,11th,7,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Federal-gov,36885,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -17,Private,166242,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -19,?,158603,10th,6,Never-married,?,Own-child,Black,Male,0,0,25,United-States,<=50K -25,Private,274228,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,84,United-States,<=50K -42,Private,185145,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,57,United-States,<=50K -66,Private,28367,Bachelors,13,Married-civ-spouse,Priv-house-serv,Other-relative,White,Male,0,0,99,United-States,<=50K -63,Self-emp-not-inc,28612,HS-grad,9,Widowed,Sales,Not-in-family,White,Male,0,0,70,United-States,<=50K -43,Private,191429,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K -26,Private,459548,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,20,Mexico,<=50K -23,Private,65481,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,>50K -39,Private,186130,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -47,Self-emp-inc,350759,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Private,359678,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,48,United-States,<=50K -35,Private,220595,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,29599,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,State-gov,299153,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -46,Private,75256,HS-grad,9,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,40,United-States,<=50K -43,Private,143583,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -31,State-gov,207505,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,70,United-States,>50K -41,Private,308550,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,60,United-States,<=50K -50,Private,145717,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -36,Private,334366,11th,7,Separated,Exec-managerial,Not-in-family,White,Female,0,0,32,United-States,<=50K -31,?,76198,HS-grad,9,Separated,?,Own-child,White,Female,0,0,20,United-States,<=50K -45,Self-emp-not-inc,155489,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -50,Private,197322,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -52,Private,194259,7th-8th,4,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K -40,Private,346189,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -55,Private,98361,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K -64,?,178556,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,56,United-States,>50K -51,Self-emp-inc,162943,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -30,Private,19302,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -56,State-gov,67662,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,39,United-States,<=50K -35,Private,126675,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K -55,Self-emp-not-inc,278228,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -30,Private,169152,HS-grad,9,Never-married,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,204052,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,215392,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -43,Self-emp-inc,83348,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -24,Local-gov,196816,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,50,United-States,<=50K -30,Private,541343,10th,6,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -33,Local-gov,55921,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,70,United-States,<=50K -32,Private,251701,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,?,<=50K -29,Federal-gov,119848,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,160572,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3137,0,47,United-States,<=50K -18,Private,25837,11th,7,Never-married,Prof-specialty,Own-child,White,Male,0,0,15,United-States,<=50K -20,Private,236592,11th,7,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -45,State-gov,199326,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -22,Private,341610,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,35,?,<=50K -45,Private,175958,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -41,Private,198965,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -42,Local-gov,193537,7th-8th,4,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,35,Puerto-Rico,<=50K -24,Private,438839,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,298227,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,35,United-States,<=50K -28,Private,271466,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -23,Private,335570,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -21,Private,206891,7th-8th,4,Never-married,Farming-fishing,Own-child,White,Female,0,0,38,United-States,<=50K -23,Private,162551,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K -45,Private,145637,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K -41,Private,101290,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Federal-gov,229376,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -38,Private,439592,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -37,Private,161141,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -70,Private,304570,Bachelors,13,Widowed,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Male,0,0,32,Philippines,<=50K -24,Private,103277,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,2597,0,40,United-States,<=50K -28,Local-gov,407672,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,73928,Assoc-voc,11,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K -83,Self-emp-inc,240150,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,20051,0,50,United-States,>50K -69,Private,230417,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,China,>50K -37,Private,260093,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -28,Private,96020,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,104421,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -71,Private,152307,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2377,45,United-States,>50K -56,State-gov,93415,HS-grad,9,Widowed,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -27,Local-gov,282664,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Other,Female,0,0,45,?,<=50K -42,Self-emp-not-inc,269733,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,99999,0,80,United-States,>50K -21,Private,202871,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,44,United-States,<=50K -29,Private,169683,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,271603,7th-8th,4,Never-married,Other-service,Not-in-family,White,Male,0,0,24,?,<=50K -32,Private,340917,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -31,Private,329874,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,43770,Some-college,10,Separated,Other-service,Not-in-family,White,Female,4650,0,72,United-States,<=50K -55,State-gov,120781,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -48,Private,138069,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -58,Self-emp-not-inc,33309,HS-grad,9,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,80,United-States,<=50K -23,Private,76432,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,State-gov,277635,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -49,Local-gov,123088,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,46,United-States,<=50K -51,Private,57698,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,181820,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,53,United-States,<=50K -40,Self-emp-not-inc,98985,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,50,United-States,<=50K -59,Private,98350,HS-grad,9,Divorced,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,China,<=50K -47,Private,125120,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Female,0,0,50,United-States,<=50K -37,Private,243409,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -39,Private,58972,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Male,1506,0,40,United-States,<=50K -43,Private,62857,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -40,Private,283174,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -48,Private,107373,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -29,Private,201155,9th,5,Never-married,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K -48,Private,187505,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -37,Private,61778,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,30,United-States,<=50K -19,Private,223648,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,4101,0,48,United-States,<=50K -28,Private,149652,10th,6,Never-married,Other-service,Own-child,Black,Female,0,0,30,United-States,<=50K -56,Private,170324,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Trinadad&Tobago,<=50K -45,Private,165937,HS-grad,9,Divorced,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K -60,State-gov,114060,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -53,State-gov,58913,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K -37,State-gov,378916,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,241885,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,224421,Assoc-voc,11,Married-AF-spouse,Farming-fishing,Husband,White,Male,0,0,44,United-States,>50K -31,?,213771,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,36,United-States,<=50K -39,Private,315565,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,Cuba,<=50K -31,Local-gov,153005,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -42,Private,98211,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -17,Private,198606,11th,7,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,16,United-States,<=50K -19,Private,260333,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -24,Private,219510,Bachelors,13,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,32,United-States,<=50K -62,Private,266624,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,6418,0,40,United-States,>50K -34,Private,136862,1st-4th,2,Never-married,Other-service,Other-relative,White,Female,0,0,40,Guatemala,<=50K -47,Self-emp-inc,215620,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K -58,Private,187067,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,62,Canada,<=50K -23,Private,325921,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K -33,Private,268127,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -76,Private,142535,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Male,0,0,6,United-States,<=50K -40,Private,177083,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -28,Private,77009,7th-8th,4,Divorced,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K -41,Private,306405,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K -46,Local-gov,303918,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,96,United-States,>50K -22,Federal-gov,262819,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,49087,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,53833,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -31,Private,1033222,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,8614,0,40,United-States,>50K -22,Private,81145,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -41,Private,215479,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,43,United-States,<=50K -29,Private,113464,HS-grad,9,Never-married,Transport-moving,Other-relative,Other,Male,0,0,40,Dominican-Republic,<=50K -60,Private,109530,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,United-States,>50K -72,Federal-gov,217864,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -41,Self-emp-inc,117721,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K -19,Private,199484,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -25,Private,248851,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,116968,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -59,Private,366618,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -17,Private,240143,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K -59,?,424468,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -69,?,320280,Some-college,10,Never-married,?,Not-in-family,White,Male,1848,0,1,United-States,<=50K -25,Private,120238,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,2885,0,43,United-States,<=50K -50,?,194186,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K -29,Private,247053,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,180599,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -29,Local-gov,190330,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -29,State-gov,199450,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Male,0,0,40,United-States,<=50K -32,Local-gov,199539,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -17,?,94366,10th,6,Never-married,?,Other-relative,White,Male,0,0,6,United-States,<=50K -50,Self-emp-not-inc,29231,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -43,Private,33126,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,102085,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,212064,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -54,State-gov,166774,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K -65,Private,95303,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -18,?,379768,HS-grad,9,Never-married,?,Own-child,Other,Female,0,0,40,United-States,<=50K -70,Self-emp-inc,247383,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -53,Private,229465,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -37,Private,135436,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K -21,Private,180052,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K -20,Private,214387,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -47,State-gov,149337,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,0,0,38,United-States,<=50K -26,Private,208326,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3942,0,45,United-States,<=50K -31,Private,34374,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -45,Self-emp-not-inc,58683,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,403037,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -55,Private,32365,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -49,Private,155489,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -33,Self-emp-inc,289886,HS-grad,9,Never-married,Other-service,Unmarried,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -30,Federal-gov,54684,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,?,<=50K -19,Private,101549,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -48,Self-emp-inc,51579,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -41,Private,40151,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -29,Private,244721,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,35,United-States,>50K -47,Local-gov,228372,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K -53,Local-gov,236873,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -19,Private,250249,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -71,Private,93202,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,16,United-States,<=50K -29,Private,176723,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K -43,Local-gov,175526,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,91842,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K -52,Private,71768,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Private,181220,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -28,Private,204516,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Self-emp-not-inc,89172,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,<=50K -37,Federal-gov,143547,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,310889,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -31,Local-gov,150324,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,216472,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -64,Private,212838,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K -45,Private,168283,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,187702,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -19,Private,60661,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,52,United-States,<=50K -54,Private,115284,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,45,United-States,>50K -61,Self-emp-inc,98350,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K -18,Private,195372,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -62,?,81578,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -33,Private,111567,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,244572,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,0,0,37,United-States,<=50K -54,Private,230919,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,282604,Some-college,10,Married-civ-spouse,Protective-serv,Other-relative,White,Male,0,0,24,United-States,<=50K -54,Private,320196,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,Germany,<=50K -42,Private,201466,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -51,Federal-gov,254211,Masters,14,Widowed,Sales,Unmarried,White,Male,0,0,50,El-Salvador,>50K -41,Private,599629,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,>50K -47,Local-gov,219632,Assoc-acdm,12,Separated,Exec-managerial,Not-in-family,White,Male,0,1408,40,United-States,<=50K -31,State-gov,161631,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,202373,Assoc-voc,11,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -52,Private,169549,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,127185,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K -18,Private,184277,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -58,Private,119751,HS-grad,9,Married-civ-spouse,Priv-house-serv,Other-relative,Asian-Pac-Islander,Female,0,0,60,Philippines,<=50K -23,Private,294701,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,26842,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -43,State-gov,114537,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,126386,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,163787,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -44,Private,98211,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Private,175509,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -48,Private,159854,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -55,Self-emp-inc,120920,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -24,Private,187551,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K -41,State-gov,27305,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -35,Private,216711,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -47,Local-gov,218596,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,280292,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,32,United-States,<=50K -40,Private,200496,Bachelors,13,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Self-emp-not-inc,78090,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K -23,Private,118693,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,203488,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -27,Local-gov,172091,HS-grad,9,Never-married,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -32,Private,113364,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -72,Self-emp-not-inc,139889,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,74,United-States,<=50K -43,Local-gov,301638,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1579,40,United-States,<=50K -32,Private,110279,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,35,United-States,<=50K -53,Private,242859,Some-college,10,Separated,Adm-clerical,Own-child,White,Male,0,0,40,Cuba,<=50K -18,Private,132986,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K -38,Private,254439,10th,6,Widowed,Transport-moving,Unmarried,Black,Male,114,0,40,United-States,<=50K -41,Federal-gov,187462,Assoc-voc,11,Divorced,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -29,Private,264961,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K -70,?,148065,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,4,United-States,>50K -46,Self-emp-inc,200949,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,50,?,<=50K -47,Private,47247,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -56,Local-gov,571017,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,15,United-States,<=50K -28,Private,416577,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,2829,0,40,United-States,<=50K -55,State-gov,296991,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -50,State-gov,45961,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,6849,0,40,United-States,<=50K -47,Private,302711,11th,7,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Self-emp-inc,50356,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,199336,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,25,United-States,<=50K -42,Private,341178,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,44,Mexico,<=50K -42,Federal-gov,70240,Some-college,10,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -46,Private,229394,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,390368,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,15024,0,99,United-States,>50K -55,Private,82098,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,55,United-States,<=50K -57,Private,170411,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -25,Private,109532,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,142682,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,Dominican-Republic,<=50K -34,Self-emp-inc,127651,Bachelors,13,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K -27,Local-gov,236472,Bachelors,13,Divorced,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K -25,Private,176047,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,2176,0,40,United-States,<=50K -37,Private,111499,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,425199,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,45,United-States,<=50K -38,Private,229009,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K -17,Private,232713,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,594,0,30,United-States,<=50K -70,Private,141742,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,9386,0,50,United-States,>50K -37,Private,234807,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,37,United-States,<=50K -45,Private,738812,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K -56,Private,204816,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -64,Private,342494,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -35,Local-gov,226311,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K -23,Private,143062,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -42,Local-gov,125155,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,90,United-States,<=50K -23,Private,329925,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -26,?,208994,Some-college,10,Never-married,?,Own-child,White,Male,0,0,12,United-States,<=50K -56,Local-gov,212864,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -41,Private,214242,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -47,Self-emp-not-inc,191175,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,2179,50,Mexico,<=50K -21,Private,118693,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,253593,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -32,State-gov,206051,Some-college,10,Married-spouse-absent,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K -72,Private,497280,9th,5,Widowed,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -69,Self-emp-not-inc,240562,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K -19,Private,140985,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,25,United-States,<=50K -25,Local-gov,191921,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,25,United-States,<=50K -56,Private,204049,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1848,50,United-States,>50K -42,Private,331651,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,8614,0,50,United-States,>50K -58,Private,142158,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,35,United-States,<=50K -24,Private,249046,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,213019,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,38,United-States,>50K -40,Private,199599,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -37,Private,186191,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,?,<=50K -25,Private,28008,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Self-emp-inc,82488,Bachelors,13,Married-civ-spouse,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K -36,Private,117073,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,325786,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,37546,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,204226,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,133299,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,29702,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,307812,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -25,Private,174545,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,46,United-States,<=50K -23,Private,233472,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,184147,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,20,United-States,<=50K -27,Private,198188,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,2580,0,45,United-States,<=50K -32,Private,447066,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,15024,0,50,United-States,>50K -33,Private,200246,Some-college,10,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,166585,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -21,Private,335570,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,?,<=50K -39,Private,53569,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,167065,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -32,Private,113364,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K -40,Federal-gov,219266,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -58,Federal-gov,200042,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -20,Private,205975,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -63,?,234083,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,2205,40,United-States,<=50K -56,Private,65325,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K -30,Local-gov,194740,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,99065,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,39,United-States,<=50K -25,Private,212793,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -33,Private,112941,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -41,State-gov,187322,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,283676,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,173682,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,168470,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,186454,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,13550,0,40,United-States,>50K -58,Private,141807,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Italy,<=50K -25,Private,245628,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,15,Mexico,<=50K -31,Private,264864,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -39,Private,262841,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -55,Private,37438,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -22,Private,170800,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -44,Private,152150,Assoc-acdm,12,Separated,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,?,211873,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,1628,5,?,<=50K -44,Private,159580,12th,8,Divorced,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,Private,477209,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,54,United-States,<=50K -32,Private,70985,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,241998,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -28,Private,249541,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,135339,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -32,Private,44675,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K -46,State-gov,247992,7th-8th,4,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -26,Self-emp-not-inc,221626,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,1579,20,United-States,<=50K -43,Self-emp-inc,48087,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -62,Local-gov,114045,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -60,State-gov,69251,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,38,China,>50K -67,Private,192670,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -19,Private,268392,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,30,United-States,<=50K -55,?,170994,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,431513,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,>50K -19,State-gov,37332,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -19,Private,35865,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -43,Private,183891,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,150309,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,90,United-States,<=50K -65,Private,93318,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,<=50K -32,Private,171814,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,State-gov,183735,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -41,Private,353541,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -33,Local-gov,152351,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,3908,0,40,United-States,<=50K -72,?,271352,10th,6,Divorced,?,Not-in-family,White,Male,0,0,12,United-States,<=50K -34,Private,345705,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,50,United-States,>50K -27,Private,223751,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -75,Self-emp-inc,164570,11th,7,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -39,?,281363,10th,6,Widowed,?,Unmarried,White,Female,0,0,15,United-States,<=50K -51,Private,110747,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -47,Private,34458,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,254293,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,270147,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -48,Private,195491,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -36,Local-gov,255454,Bachelors,13,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K -18,Private,126125,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -33,Private,618191,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,163110,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,145409,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,48,United-States,>50K -39,State-gov,235379,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,55465,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -67,Local-gov,181220,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,20,United-States,<=50K -42,Private,26672,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -59,Private,98361,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -31,Local-gov,219883,HS-grad,9,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K -19,Private,376683,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,2036,0,30,United-States,<=50K -47,Private,33865,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,48,United-States,<=50K -68,Private,168794,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -30,Private,94245,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,34572,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,60,United-States,<=50K -49,Private,348751,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,65382,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -60,Private,116707,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K -51,Private,178054,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,?,>50K -24,Private,140001,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,166889,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Female,0,1602,35,United-States,<=50K -24,Private,117789,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -21,Private,238917,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -48,Local-gov,242923,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,1848,40,United-States,>50K -52,Local-gov,330799,9th,5,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -48,Private,209460,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Federal-gov,75313,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,66,United-States,>50K -29,?,339100,11th,7,Divorced,?,Not-in-family,White,Female,3418,0,48,United-States,<=50K -20,Private,184779,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,20,United-States,<=50K -31,Private,139000,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K -30,Private,361742,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,260782,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,?,<=50K -51,Private,203435,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,100579,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Self-emp-not-inc,356067,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,16,United-States,<=50K -46,Private,87250,Bachelors,13,Separated,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,264663,Some-college,10,Separated,Prof-specialty,Own-child,White,Female,0,3900,40,United-States,<=50K -29,Private,255817,5th-6th,3,Never-married,Other-service,Other-relative,White,Female,0,0,40,El-Salvador,<=50K -48,Self-emp-not-inc,243631,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,30,South,<=50K -34,Self-emp-inc,544268,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -42,Self-emp-not-inc,98061,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,95691,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,30,Columbia,<=50K -47,Private,145868,11th,7,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,65038,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -43,Local-gov,227734,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,22,United-States,<=50K -19,Local-gov,176831,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,35,United-States,<=50K -22,Private,211678,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -40,Local-gov,157240,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,70,United-States,<=50K -41,Self-emp-not-inc,145441,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Yugoslavia,<=50K -71,Self-emp-inc,66624,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2392,60,United-States,>50K -42,Private,76487,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -31,State-gov,557853,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,47,United-States,<=50K -69,?,262352,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K -58,Self-emp-not-inc,118253,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -36,Private,146625,11th,7,Widowed,Other-service,Unmarried,Black,Female,0,0,12,United-States,<=50K -31,Private,174201,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -20,?,66695,Some-college,10,Never-married,?,Own-child,Other,Female,594,0,35,United-States,<=50K -41,Private,121130,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,385847,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -62,?,83439,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,114158,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K -27,Private,381789,12th,8,Married-civ-spouse,Farming-fishing,Own-child,White,Male,0,0,55,United-States,<=50K -17,Private,82041,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,Canada,<=50K -35,Self-emp-not-inc,115618,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -45,Self-emp-not-inc,106110,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,99,United-States,<=50K -44,Private,267521,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,90692,Assoc-voc,11,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -51,Private,57101,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,236913,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K -64,Self-emp-not-inc,388625,10th,6,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,10,United-States,>50K -54,Self-emp-not-inc,261207,7th-8th,4,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,Cuba,<=50K -43,Private,245487,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K -32,Private,262153,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K -36,Private,225516,Assoc-acdm,12,Never-married,Sales,Not-in-family,Black,Male,10520,0,43,United-States,>50K -26,Self-emp-not-inc,68729,HS-grad,9,Never-married,Sales,Other-relative,Asian-Pac-Islander,Male,0,0,50,United-States,>50K -37,Private,126954,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -38,Private,85074,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,383306,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,128143,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,50,United-States,>50K -47,Private,185041,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -42,Private,99373,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -66,Local-gov,157942,HS-grad,9,Widowed,Transport-moving,Not-in-family,Black,Female,0,0,40,United-States,<=50K -43,Private,241928,HS-grad,9,Separated,Adm-clerical,Not-in-family,Black,Female,0,0,32,United-States,<=50K -37,Private,348739,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -37,Private,95654,10th,6,Divorced,Exec-managerial,Unmarried,White,Female,0,0,35,United-States,<=50K -25,Private,367306,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,270421,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -63,?,221592,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -50,Self-emp-not-inc,156951,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,40,United-States,>50K -42,State-gov,39239,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,<=50K -32,Private,72744,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -42,State-gov,367292,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -41,Self-emp-not-inc,408498,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,361493,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,3325,0,40,United-States,<=50K -65,Self-emp-inc,157403,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,231263,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,244147,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,10,United-States,<=50K -24,Private,220944,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -51,Federal-gov,314007,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -67,?,200862,10th,6,Never-married,?,Not-in-family,Black,Female,0,0,35,United-States,<=50K -28,Private,33374,11th,7,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -32,Self-emp-inc,345489,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -77,Private,83601,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,162302,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -26,Private,112847,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,147344,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -57,State-gov,183657,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,35,United-States,>50K -40,Private,130760,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -50,Private,163948,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -19,Private,316797,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,45,Mexico,<=50K -54,Federal-gov,332243,12th,8,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -51,Local-gov,195844,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -51,Local-gov,387250,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -38,State-gov,188303,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,40,United-States,>50K -68,?,40956,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K -17,Private,178953,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -32,Private,398988,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,535978,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -42,Private,296982,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K -40,Private,231991,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,295799,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,State-gov,201569,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K -58,Private,193568,11th,7,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,Private,97128,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -42,Private,203393,Bachelors,13,Married-civ-spouse,Craft-repair,Wife,Black,Female,0,0,35,United-States,>50K -49,Private,138370,Masters,14,Married-spouse-absent,Protective-serv,Not-in-family,Asian-Pac-Islander,Male,0,0,40,India,<=50K -41,Self-emp-inc,120277,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,<=50K -43,Private,91949,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -46,Private,228372,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,40,United-States,>50K -28,Private,132191,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -39,Self-emp-not-inc,274683,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K -50,Local-gov,196307,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -57,Private,195835,Some-college,10,Married-spouse-absent,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,185399,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,38,United-States,<=50K -79,Self-emp-not-inc,103684,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,140559,HS-grad,9,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,45,United-States,<=50K -35,Federal-gov,110188,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -35,Local-gov,668319,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1740,80,United-States,<=50K -30,Private,112358,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,>50K -26,Private,151810,10th,6,Never-married,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K -49,Private,48120,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Female,1506,0,40,United-States,<=50K -48,Private,144844,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,205839,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -22,Private,113760,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -50,Private,138358,10th,6,Separated,Adm-clerical,Not-in-family,Black,Female,0,0,47,Jamaica,<=50K -47,Self-emp-not-inc,216657,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -36,Private,278576,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -44,Private,174373,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -73,Private,220019,9th,5,Widowed,Other-service,Unmarried,White,Female,0,0,9,United-States,<=50K -24,?,311949,HS-grad,9,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,45,?,<=50K -34,Private,303867,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -37,Private,154210,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Hong,<=50K -28,?,131310,12th,8,Married-civ-spouse,?,Wife,White,Female,0,0,20,Germany,<=50K -46,Private,202560,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -20,?,358783,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -29,Private,423024,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -24,Private,206671,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,State-gov,245310,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -18,Private,31983,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -41,Private,124956,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,90,United-States,>50K -59,Private,118358,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -27,Private,491421,5th-6th,3,Never-married,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K -50,Private,151580,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,248990,1st-4th,2,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,24,Mexico,<=50K -42,Private,157425,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -36,Private,221650,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Japan,<=50K -62,Private,88055,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,>50K -71,Private,216608,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,682947,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K -44,Private,228124,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -19,?,217194,10th,6,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -49,Self-emp-not-inc,171540,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -60,Self-emp-inc,210827,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -28,Self-emp-not-inc,410351,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Poland,<=50K -26,Private,163747,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,55,United-States,<=50K -18,Private,108892,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K -43,Private,180096,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -65,Local-gov,153890,12th,8,Widowed,Exec-managerial,Not-in-family,White,Male,2009,0,44,United-States,<=50K -23,Private,117480,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,44,United-States,<=50K -21,Private,163333,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -20,Self-emp-not-inc,306710,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,150553,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,18,Philippines,<=50K -77,Private,123959,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K -32,Private,24961,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -37,Local-gov,327120,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -29,Self-emp-not-inc,33798,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -59,Private,81929,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,45,United-States,>50K -22,Private,298489,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -30,?,101697,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K -31,Private,144064,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -59,Self-emp-not-inc,195835,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -29,Federal-gov,184723,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,>50K -56,Private,265086,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -19,Private,235909,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -37,Private,42645,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -58,State-gov,279878,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -41,Private,104892,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -29,Private,137063,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,38,United-States,<=50K -38,Self-emp-not-inc,58972,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,126675,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -19,Private,286435,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,594,0,40,United-States,<=50K -46,Private,191389,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,28,United-States,>50K -42,Private,183241,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -29,Private,91547,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,52781,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -29,Private,210959,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,365516,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,112271,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -39,Private,269455,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -46,Private,164379,Bachelors,13,Divorced,Sales,Unmarried,Black,Female,0,0,35,United-States,>50K -28,Private,109621,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,104858,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,56,United-States,>50K -39,Private,99270,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -44,Private,193524,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -70,?,149040,HS-grad,9,Widowed,?,Not-in-family,White,Female,2964,0,12,United-States,<=50K -60,State-gov,313946,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,162358,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -59,Private,200700,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,48,United-States,>50K -21,Private,116489,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,60,United-States,<=50K -22,Private,118310,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Female,0,0,16,United-States,<=50K -31,Private,352465,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -40,Private,107433,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -33,Private,296538,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -41,Local-gov,195897,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -31,Self-emp-not-inc,216283,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,>50K -62,Private,345780,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,216685,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,<=50K -28,Local-gov,210945,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,60,United-States,<=50K -43,Private,184321,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,1887,40,United-States,>50K -55,Self-emp-not-inc,322691,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,3103,0,55,United-States,>50K -42,Private,192712,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -23,Private,178272,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Federal-gov,321333,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -44,Self-emp-inc,120277,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,45,United-States,>50K -19,Private,294029,11th,7,Never-married,Sales,Own-child,Other,Female,0,0,32,Nicaragua,<=50K -23,Private,112819,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,152636,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,50,United-States,<=50K -63,?,301611,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -51,Private,134808,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,64216,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,90,United-States,<=50K -29,State-gov,214284,Masters,14,Never-married,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,20,Taiwan,<=50K -25,Private,469572,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,8614,0,40,United-States,>50K -44,Self-emp-not-inc,282722,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -17,Private,231439,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -42,Self-emp-inc,120277,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -21,Private,364685,11th,7,Never-married,Tech-support,Own-child,White,Female,0,0,35,United-States,<=50K -26,Private,18827,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,169129,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,202051,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K -58,?,353244,Bachelors,13,Widowed,?,Unmarried,White,Female,27828,0,50,United-States,>50K -19,Private,574271,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,28,United-States,<=50K -65,State-gov,29276,7th-8th,4,Widowed,Other-service,Other-relative,White,Female,0,0,24,United-States,<=50K -52,Self-emp-not-inc,104501,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,>50K -17,Private,394176,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -27,Private,85625,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,22,United-States,<=50K -53,Private,340723,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,149342,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,73715,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -34,Private,143083,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,18,United-States,<=50K -40,Local-gov,290660,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,8614,0,50,United-States,>50K -49,Local-gov,98738,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -86,Private,149912,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,309033,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,60,United-States,>50K -43,Self-emp-not-inc,96129,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K -47,Private,216096,Some-college,10,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,35,Puerto-Rico,<=50K -32,Private,171091,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -30,Self-emp-not-inc,79303,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -25,Local-gov,182380,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,36271,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -60,Private,118197,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K -46,Private,269652,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,38,United-States,>50K -39,Local-gov,193815,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -28,Private,141957,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,1887,70,United-States,>50K -26,Private,222637,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,55,Puerto-Rico,<=50K -27,Private,118230,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -59,Private,174040,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -64,State-gov,105748,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -90,Self-emp-not-inc,82628,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,2964,0,12,United-States,<=50K -51,Private,205100,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,45,United-States,>50K -36,Private,107916,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2002,40,United-States,<=50K -39,Private,130620,7th-8th,4,Married-spouse-absent,Machine-op-inspct,Unmarried,Other,Female,0,0,40,Dominican-Republic,<=50K -30,?,361817,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -47,Self-emp-not-inc,235646,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -32,Private,53277,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -24,Private,456460,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -23,Private,293091,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -62,Private,210935,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -48,?,199763,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K -62,?,223447,12th,8,Divorced,?,Not-in-family,White,Male,0,0,40,Canada,<=50K -35,Self-emp-not-inc,233533,Bachelors,13,Separated,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K -27,Private,95647,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -49,Private,199763,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,35,United-States,<=50K -18,Private,74539,10th,6,Never-married,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K -19,Private,84610,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -63,Self-emp-inc,96930,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -54,Private,115602,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K -24,Private,237341,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -61,Private,143800,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -50,Self-emp-inc,163921,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K -36,Private,68273,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -21,Private,113163,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K -38,Self-emp-inc,478829,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K -30,Private,345705,Some-college,10,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,<=50K -22,Private,385077,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,2907,0,40,United-States,<=50K -33,Private,192286,Some-college,10,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,52,United-States,<=50K -39,Local-gov,236391,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,>50K -42,Private,106679,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -47,?,308242,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -42,Local-gov,46094,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,33,United-States,<=50K -29,Private,194940,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,341643,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K -23,Private,210474,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -28,Private,76313,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K -34,Private,115858,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,55191,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -67,Self-emp-not-inc,364862,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -49,Private,334787,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,205733,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -60,?,120163,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,333677,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,2463,0,35,United-States,<=50K -25,Private,208591,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,341204,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,1831,0,30,United-States,<=50K -56,Self-emp-not-inc,115422,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-inc,111319,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,1887,45,United-States,>50K -54,Private,816750,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,40,United-States,<=50K -25,Private,167835,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,3325,0,40,United-States,<=50K -28,Private,92262,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,91964,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,107682,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -52,State-gov,135388,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -39,Self-emp-not-inc,597843,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,Columbia,<=50K -19,Private,389942,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,442274,12th,8,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -23,Private,595461,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -52,Private,284329,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -33,Self-emp-not-inc,127894,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -35,Private,196899,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,Asian-Pac-Islander,Female,0,0,50,Haiti,<=50K -58,Private,212534,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,71209,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -39,Private,237943,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,70,United-States,>50K -38,Private,190759,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,100313,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K -41,Private,344624,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -27,?,194024,9th,5,Separated,?,Unmarried,White,Female,0,0,50,United-States,<=50K -19,Private,87497,11th,7,Never-married,Transport-moving,Other-relative,White,Male,0,0,10,United-States,<=50K -22,Private,236907,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -59,Private,169639,Assoc-acdm,12,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -37,Private,105803,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,45,United-States,>50K -31,Private,149507,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K -18,Private,294387,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,161708,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -28,Private,282389,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -28,Private,64940,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -49,Private,195727,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -38,Local-gov,37931,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -19,Private,170720,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -43,Private,152958,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -28,Private,312372,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,15024,0,40,United-States,>50K -41,Private,39581,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,24,El-Salvador,<=50K -50,Private,206862,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -46,Private,216934,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,Portugal,<=50K -20,Private,143062,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,242391,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -28,Private,165030,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -37,Private,199251,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -46,Self-emp-not-inc,353012,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K -66,Private,174491,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -35,?,333305,Some-college,10,Married-civ-spouse,?,Own-child,White,Female,0,0,40,United-States,<=50K -38,Private,203138,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,50,United-States,>50K -25,Private,220220,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K -55,Federal-gov,305850,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -48,Local-gov,273402,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,40,United-States,<=50K -56,Private,201344,Some-college,10,Widowed,Craft-repair,Unmarried,White,Female,0,0,38,United-States,<=50K -47,Self-emp-not-inc,218676,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -55,Self-emp-not-inc,141807,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -41,State-gov,222434,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,266860,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K -40,Private,34113,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Male,6849,0,43,United-States,<=50K -41,Private,159549,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,195248,Some-college,10,Never-married,Sales,Own-child,Other,Female,0,0,20,United-States,<=50K -52,Private,109413,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -62,Private,195343,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Male,15020,0,50,United-States,>50K -46,Private,185291,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,>50K -21,?,140012,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -35,Self-emp-not-inc,114366,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,169631,HS-grad,9,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -21,Private,163870,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,3908,0,40,United-States,<=50K -35,Private,312232,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -46,Private,229737,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,India,>50K -70,?,306563,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,161637,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1902,40,Taiwan,>50K -34,Private,106014,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -21,Private,25265,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,30,United-States,<=50K -29,Private,71860,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -41,Self-emp-inc,94113,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -51,Self-emp-not-inc,208003,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,113550,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -47,Private,83046,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Self-emp-inc,277488,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,65,United-States,>50K -19,Private,205830,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,El-Salvador,<=50K -46,Private,273575,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,40,United-States,>50K -23,Private,245147,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -49,Private,274720,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -58,Self-emp-not-inc,163047,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,State-gov,47902,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -50,Private,128798,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -77,Private,154205,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,10,United-States,<=50K -27,Private,176683,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K -29,Self-emp-inc,104737,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -54,Private,349340,Preschool,1,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K -39,State-gov,218249,Some-college,10,Separated,Prof-specialty,Unmarried,Black,Female,0,0,37,United-States,<=50K -32,Private,281540,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -36,Federal-gov,112847,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -24,Local-gov,126613,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K -50,Self-emp-not-inc,145419,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,7688,0,45,United-States,>50K -32,Self-emp-not-inc,34572,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,65,United-States,<=50K -26,Private,104045,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,?,57665,Bachelors,13,Divorced,?,Own-child,White,Female,0,0,40,United-States,<=50K -38,Private,359001,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,<=50K -47,Private,105273,Bachelors,13,Widowed,Craft-repair,Unmarried,Black,Female,6497,0,40,United-States,<=50K -31,Private,201122,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Private,160035,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -50,Private,167886,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -18,Private,32059,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -59,Self-emp-inc,200453,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -56,Self-emp-not-inc,403072,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -34,Private,37210,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K -32,Private,199416,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,413227,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -29,?,188675,Some-college,10,Divorced,?,Own-child,Black,Male,0,0,40,United-States,<=50K -42,Private,226902,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -37,Private,195189,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,Private,116608,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -59,Private,99131,Masters,14,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -32,Private,553405,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,50,United-States,>50K -52,Local-gov,186117,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,>50K -29,State-gov,67053,HS-grad,9,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Thailand,<=50K -39,Private,347960,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,14084,0,35,United-States,>50K -39,Private,325374,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -69,Private,130413,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Female,2346,0,15,United-States,<=50K -43,Private,111949,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K -39,Private,278557,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1628,48,United-States,<=50K -19,Private,194905,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -60,Local-gov,195453,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -51,Private,282549,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,3137,0,40,United-States,<=50K -75,Private,316119,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,8,United-States,<=50K -37,State-gov,252939,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,Black,Female,5455,0,40,United-States,<=50K -24,State-gov,506329,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,40,?,<=50K -20,Private,316043,11th,7,Never-married,Other-service,Own-child,Black,Male,594,0,20,United-States,<=50K -58,Federal-gov,319733,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -21,State-gov,99199,Masters,14,Never-married,Transport-moving,Own-child,White,Male,0,0,15,United-States,<=50K -28,Private,204600,HS-grad,9,Separated,Protective-serv,Other-relative,White,Male,0,0,40,United-States,<=50K -40,Private,173307,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,34446,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -40,Self-emp-not-inc,237293,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,40,United-States,>50K -41,Private,175642,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Private,203735,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Local-gov,171589,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -26,Private,197967,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K -29,Private,413297,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,45,Mexico,<=50K -45,Private,240841,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,152189,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,State-gov,85874,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Self-emp-not-inc,176814,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -51,Local-gov,133336,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -22,Private,362623,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -67,?,37170,7th-8th,4,Divorced,?,Not-in-family,White,Male,0,0,3,United-States,<=50K -28,Private,30912,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,35448,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -33,Private,173248,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,35,United-States,<=50K -37,Private,49626,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,43,United-States,<=50K -19,Private,102723,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -90,?,166343,1st-4th,2,Widowed,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -35,Private,168322,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,131117,7th-8th,4,Divorced,Tech-support,Unmarried,White,Female,0,0,38,Columbia,<=50K -20,?,210474,Some-college,10,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -25,Private,110138,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,107452,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -32,Private,160594,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -32,Local-gov,186784,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,5013,0,45,United-States,<=50K -70,Local-gov,334666,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,12,United-States,<=50K -65,?,191380,10th,6,Married-civ-spouse,?,Husband,White,Male,9386,0,50,United-States,>50K -57,Private,104272,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,19491,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,128715,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -34,Private,128063,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K -26,Self-emp-not-inc,37023,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,78,United-States,<=50K -44,Private,68748,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -66,Private,140576,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Local-gov,327435,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,202729,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -53,Private,277471,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -36,Private,189670,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,50,United-States,<=50K -61,Private,204908,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,171841,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -38,Private,78247,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,68895,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,Mexico,<=50K -27,Private,56658,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Amer-Indian-Eskimo,Male,0,0,8,United-States,<=50K -58,Local-gov,259216,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,State-gov,270278,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,12,Puerto-Rico,<=50K -56,Private,238806,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,26,United-States,<=50K -36,Private,111128,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K -29,Private,119429,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -28,Private,73037,10th,6,Never-married,Transport-moving,Unmarried,White,Male,0,0,30,United-States,<=50K -61,Self-emp-not-inc,84409,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -66,Self-emp-not-inc,274451,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,>50K -31,Private,246439,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,7298,0,50,United-States,>50K -21,Private,124242,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -67,Self-emp-not-inc,123393,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,6418,0,58,United-States,>50K -26,Private,159732,HS-grad,9,Widowed,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,161415,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -33,Private,157568,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,168030,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -59,State-gov,349910,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,10605,0,50,United-States,>50K -82,Self-emp-inc,130329,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -34,State-gov,56964,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -29,Private,370509,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,France,>50K -19,Private,106306,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -57,Self-emp-not-inc,56480,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,1,United-States,<=50K -41,Private,115932,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K -55,Private,154580,10th,6,Married-civ-spouse,Other-service,Husband,Black,Male,2580,0,40,United-States,<=50K -27,Private,404421,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -33,Private,194901,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -43,State-gov,164790,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,50,United-States,>50K -72,Federal-gov,94242,Some-college,10,Widowed,Tech-support,Not-in-family,White,Female,0,0,16,United-States,<=50K -68,Self-emp-not-inc,365020,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,160512,HS-grad,9,Separated,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -41,Private,170331,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -30,Private,101266,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,100252,Bachelors,13,Divorced,Other-service,Not-in-family,Asian-Pac-Islander,Male,99999,0,70,United-States,>50K -54,Private,217718,5th-6th,3,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,30,Haiti,<=50K -32,Private,170154,Assoc-acdm,12,Separated,Exec-managerial,Unmarried,White,Female,25236,0,50,United-States,>50K -56,Private,105281,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,1974,40,United-States,<=50K -39,?,361838,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,6,United-States,>50K -41,State-gov,283917,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -48,Private,39530,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -66,Self-emp-not-inc,212185,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,United-States,<=50K -25,Self-emp-inc,90752,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -31,Private,202450,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1573,40,United-States,<=50K -32,Private,168138,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,2597,0,48,United-States,<=50K -51,Private,159755,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -42,Private,191765,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Female,0,2339,40,Trinadad&Tobago,<=50K -22,?,210802,Some-college,10,Never-married,?,Not-in-family,Black,Female,0,0,35,United-States,<=50K -31,Private,340880,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -43,Self-emp-not-inc,113211,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -42,Private,134509,Some-college,10,Never-married,Transport-moving,Unmarried,Black,Female,0,0,40,United-States,<=50K -20,State-gov,147280,HS-grad,9,Never-married,Other-service,Other-relative,Other,Male,0,0,40,United-States,<=50K -40,Private,145441,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -65,Private,398001,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -53,Private,31588,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,52,United-States,>50K -56,Private,189975,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,60,United-States,>50K -51,State-gov,231495,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,United-States,>50K -38,?,121135,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,186916,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -49,Self-emp-inc,213140,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,United-States,>50K -47,Private,176893,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,8614,0,44,United-States,>50K -22,Private,115244,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -53,Private,313243,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,2444,45,United-States,>50K -41,Local-gov,169995,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,20,United-States,<=50K -19,Private,198459,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,2001,40,United-States,<=50K -27,Local-gov,66824,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,3325,0,43,United-States,<=50K -48,Self-emp-not-inc,52240,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,>50K -52,Private,35305,7th-8th,4,Never-married,Other-service,Own-child,White,Female,0,0,7,United-States,<=50K -61,State-gov,186451,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -45,Self-emp-not-inc,160724,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,45,China,>50K -29,Private,210464,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,207685,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,21,United-States,<=50K -38,Private,233717,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Male,0,0,60,United-States,<=50K -32,Private,222205,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -37,Private,167613,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,148773,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -62,Local-gov,68268,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,174533,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,273230,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -25,Private,187502,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,24,United-States,<=50K -47,Private,209320,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Self-emp-not-inc,56841,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K -55,Private,254627,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,42703,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Private,374137,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,196385,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,192930,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,10,United-States,<=50K -39,Private,99527,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -45,Private,185437,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Female,0,0,55,United-States,<=50K -43,Private,247162,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -32,Federal-gov,131534,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -18,Private,184693,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,Mexico,<=50K -27,Private,704108,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Private,220262,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,95654,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,60,United-States,<=50K -67,Private,89346,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -26,Private,94392,11th,7,Separated,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -21,Private,334113,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -17,Private,32763,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -31,Private,136651,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -51,Self-emp-not-inc,240236,Assoc-acdm,12,Separated,Sales,Not-in-family,Black,Male,0,0,30,United-States,<=50K -29,Private,53271,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,31493,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,>50K -32,Private,195891,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -31,Local-gov,209103,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,3464,0,45,United-States,<=50K -26,Private,211424,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -28,Local-gov,84657,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,151408,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,106819,7th-8th,4,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,19,United-States,<=50K -62,Private,132917,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,20,United-States,<=50K -54,Private,146834,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K -55,Private,164332,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,16,United-States,<=50K -24,Private,30656,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,20,United-States,<=50K -27,Private,113501,Masters,14,Never-married,Adm-clerical,Own-child,White,Male,0,0,45,United-States,<=50K -18,Private,165316,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K -22,Private,233955,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,14344,0,40,United-States,>50K -21,Private,126613,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Self-emp-not-inc,361280,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,80,Philippines,>50K -50,?,123044,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,>50K -38,Private,165472,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -39,Private,99452,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -27,Private,84977,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,240458,11th,7,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -51,Private,230858,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,60,United-States,>50K -60,Private,123218,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -62,?,191118,Some-college,10,Married-civ-spouse,?,Husband,White,Male,7298,0,40,United-States,>50K -38,Private,115289,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,373895,Some-college,10,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,35,United-States,<=50K -43,Private,152617,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -49,State-gov,72619,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K -17,Private,41865,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -32,Private,190228,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K -23,Private,193090,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K -28,Private,138692,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -83,Self-emp-inc,153183,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2392,55,United-States,>50K -25,Private,181896,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -42,Private,268183,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,60,United-States,<=50K -46,Local-gov,213668,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,99369,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Other,Female,0,0,50,United-States,<=50K -44,Private,104196,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -60,Self-emp-not-inc,176839,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -30,Local-gov,99502,Assoc-voc,11,Divorced,Protective-serv,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -24,Private,183410,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,17,United-States,<=50K -17,Private,25690,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -76,?,201986,11th,7,Widowed,?,Other-relative,White,Female,0,0,16,United-States,<=50K -31,Private,188961,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -52,Private,114971,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -39,Private,121468,Bachelors,13,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Female,0,0,35,United-States,<=50K -73,Self-emp-inc,191540,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -38,Private,146398,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,24,United-States,<=50K -48,Private,193553,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,20,United-States,<=50K -60,Private,121127,10th,6,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,389856,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,290504,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -54,State-gov,137065,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -50,Local-gov,212685,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -20,Private,71475,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,111450,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,22,United-States,<=50K -35,Private,225860,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -43,Private,129853,10th,6,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -50,Private,99925,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,32,United-States,<=50K -58,Private,227800,1st-4th,2,Separated,Farming-fishing,Not-in-family,Black,Male,0,0,50,United-States,<=50K -55,State-gov,111130,Assoc-acdm,12,Divorced,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -29,Private,100764,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -47,Private,275095,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,147500,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,<=50K -63,Local-gov,150079,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K -27,Private,140863,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -62,?,199198,11th,7,Divorced,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -38,Private,193372,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,196771,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,65,United-States,<=50K -31,Private,231826,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,52,Mexico,<=50K -40,Federal-gov,196456,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -42,Private,34037,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -52,Private,174964,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -46,Private,91608,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -31,Private,403468,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,50,Mexico,<=50K -33,Private,112900,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -58,Private,242670,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Local-gov,187830,HS-grad,9,Divorced,Tech-support,Unmarried,White,Male,4934,0,36,United-States,>50K -25,Self-emp-not-inc,368115,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,13550,0,35,United-States,>50K -54,Private,343242,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -46,Private,113390,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1740,60,United-States,<=50K -28,Private,200733,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Self-emp-not-inc,236769,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,22494,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -60,Federal-gov,129379,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,239098,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,167501,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,77146,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -47,Private,82797,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -33,Self-emp-not-inc,134886,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -40,Self-emp-inc,218558,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -38,Private,207568,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K -26,Private,196899,Assoc-acdm,12,Separated,Craft-repair,Not-in-family,Other,Female,0,0,40,United-States,<=50K -54,Self-emp-not-inc,200960,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -39,Private,188069,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,<=50K -60,Private,232337,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,98656,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,State-gov,194260,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -49,?,481987,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K -31,Private,234976,11th,7,Never-married,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K -29,Private,349116,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K -39,Private,175390,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -42,Private,187720,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,?,>50K -26,Private,214637,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -27,Private,185127,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -52,Private,98752,9th,5,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Local-gov,218382,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -51,Private,153486,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -51,Federal-gov,174102,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -40,Private,137142,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -61,Private,241013,7th-8th,4,Widowed,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K -35,Private,267798,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -41,?,152880,HS-grad,9,Divorced,?,Not-in-family,Black,Female,0,0,28,United-States,<=50K -31,Private,263561,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -43,Private,113324,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K -20,Private,39764,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,172186,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,460408,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1672,45,United-States,<=50K -42,Self-emp-not-inc,185129,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -51,Private,61270,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -39,Self-emp-inc,124685,Masters,14,Divorced,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,99,Japan,>50K -69,Self-emp-not-inc,76968,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K -63,?,310396,9th,5,Married-civ-spouse,?,Husband,White,Male,5178,0,40,United-States,>50K -29,Federal-gov,37933,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,2174,0,40,United-States,<=50K -21,Private,38772,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -24,Private,172496,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,55,United-States,<=50K -55,Private,306164,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,33795,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -48,Private,47686,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -31,Private,193132,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,42,United-States,<=50K -52,Private,400004,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -30,Private,101283,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,192384,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,113838,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,278322,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -56,Private,199713,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,236021,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,138938,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K -36,Private,126946,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,44791,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,31964,9th,5,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -60,State-gov,352156,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -70,Self-emp-not-inc,205860,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K -21,Private,113106,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -57,Private,89182,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,250782,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -37,Private,193855,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,50,United-States,<=50K -50,Self-emp-not-inc,132716,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K -68,Private,218637,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,2377,55,United-States,>50K -28,Private,177955,11th,7,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Mexico,<=50K -32,Private,198660,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,207937,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,10520,0,50,United-States,>50K -18,Private,168740,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -45,Private,199625,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,20,United-States,<=50K -22,Private,213902,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K -38,Private,208379,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,8,United-States,<=50K -37,Private,113120,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,57827,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -59,Private,515712,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,Self-emp-inc,54190,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -53,Self-emp-inc,134793,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -18,Private,396270,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K -30,Private,231620,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,Mexico,<=50K -50,Private,174655,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -63,?,97823,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,344480,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4064,0,40,United-States,<=50K -48,Private,176732,9th,5,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -60,Private,143932,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,551962,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,50,Peru,<=50K -30,?,298577,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -39,Private,257942,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -55,Local-gov,253062,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -17,Private,193748,11th,7,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -46,Private,368561,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -50,Private,192964,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,65,United-States,<=50K -32,Private,217304,Bachelors,13,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,30,United-States,<=50K -18,Private,120029,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -34,Private,62124,HS-grad,9,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -50,Private,94885,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -32,Private,192565,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -23,Local-gov,220912,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -26,Private,184120,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -46,Private,140782,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -43,Self-emp-inc,170785,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -32,Private,90705,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -37,State-gov,108293,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K -48,Private,168283,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -28,Private,339372,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,1408,40,United-States,<=50K -43,Private,193672,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -51,Local-gov,143865,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -30,Private,209317,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,Dominican-Republic,<=50K -34,State-gov,204461,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -34,Private,137088,HS-grad,9,Married-civ-spouse,Craft-repair,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -41,Private,149102,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -53,Private,182855,10th,6,Divorced,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K -42,Private,572751,Preschool,1,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Nicaragua,<=50K -18,Private,83451,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -81,Private,98116,Bachelors,13,Widowed,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -40,Private,119225,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,134888,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,35,United-States,<=50K -20,Private,745817,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,15,United-States,<=50K -41,Private,88368,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -49,State-gov,122066,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -22,Private,363219,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -46,Private,84402,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -56,Private,34626,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,1980,40,United-States,<=50K -35,Private,150042,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -34,Private,48014,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -29,Local-gov,177398,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -28,Private,373698,12th,8,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,?,<=50K -35,Private,422933,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,37,United-States,<=50K -29,Private,131088,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,178255,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,Columbia,<=50K -52,Self-emp-not-inc,129311,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,95,United-States,>50K -45,Private,473171,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,236985,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -35,?,226379,HS-grad,9,Married-civ-spouse,?,Other-relative,White,Female,0,0,25,United-States,<=50K -21,?,277700,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -35,Private,207568,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,85708,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,98765,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,Canada,<=50K -29,Private,192283,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,20,United-States,<=50K -29,State-gov,271012,10th,6,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -33,Private,189265,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,321880,10th,6,Never-married,Other-service,Own-child,Black,Male,0,0,15,United-States,<=50K -52,Private,177465,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K -24,Private,127647,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -32,State-gov,119033,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -40,Private,289748,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,4650,0,48,United-States,<=50K -32,Private,209317,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Male,0,0,40,?,<=50K -33,Private,284531,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,251120,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K -28,Private,113870,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -62,Without-pay,170114,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -46,Local-gov,121124,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,15024,0,40,United-States,>50K -32,Private,328199,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,0,64,United-States,<=50K -26,Private,206307,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -41,Self-emp-inc,236021,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -57,Federal-gov,170603,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -52,Private,74275,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,45,United-States,>50K -35,Self-emp-not-inc,112271,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -19,Private,118306,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K -49,Private,126754,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K -47,Private,267205,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,?,>50K -38,Private,205359,11th,7,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,32,United-States,<=50K -30,Private,398662,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,202498,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Columbia,<=50K -32,Private,105650,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -46,Private,191204,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,56582,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -47,Local-gov,51579,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K -57,Self-emp-not-inc,152030,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,25,United-States,>50K -47,Private,227310,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -41,Private,55854,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,56,United-States,>50K -36,Local-gov,28996,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,160634,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -37,Private,222450,11th,7,Married-spouse-absent,Other-service,Other-relative,White,Male,0,0,40,El-Salvador,<=50K -36,Self-emp-inc,180419,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -64,Private,116084,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2635,0,40,United-States,<=50K -17,Private,202521,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -23,Private,186014,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -40,Private,88368,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,914,0,40,United-States,<=50K -42,State-gov,190044,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -37,Self-emp-not-inc,35330,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,42,United-States,<=50K -35,Federal-gov,84848,Some-college,10,Never-married,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -56,Self-emp-not-inc,176280,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -52,Private,145271,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -37,Local-gov,108320,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -48,State-gov,106377,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K -24,Private,258730,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,40,Japan,<=50K -33,Private,58305,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,341672,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -34,Private,176648,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,42,United-States,<=50K -24,?,32616,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,481175,Some-college,10,Never-married,Exec-managerial,Own-child,Other,Male,0,0,24,Peru,<=50K -49,Private,187454,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,99999,0,65,United-States,>50K -18,Private,25837,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K -20,Private,385077,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -54,Private,68985,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -19,Private,181572,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -53,Private,23698,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,>50K -34,?,268127,12th,8,Separated,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -28,Private,162298,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,144608,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,250630,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -31,Private,150441,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -37,Private,189251,Doctorate,16,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -64,Private,260082,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Columbia,<=50K -42,Private,139126,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -27,Private,50132,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -36,Self-emp-not-inc,167691,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K -36,Private,77820,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -23,Private,156513,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -46,Private,248059,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3464,0,40,United-States,<=50K -24,Private,283092,11th,7,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,35,Jamaica,<=50K -22,Private,175883,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -62,Private,232308,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -19,Private,269991,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,Puerto-Rico,<=50K -20,Private,305446,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -47,Private,120781,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,15024,0,40,?,>50K -57,Private,78707,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,351802,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,35,United-States,<=50K -37,Local-gov,196529,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -35,Self-emp-inc,175769,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K -17,Private,153021,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -36,Local-gov,331902,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -50,Private,279461,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -35,Private,145704,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,3942,0,35,United-States,<=50K -27,State-gov,205499,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,77,United-States,<=50K -28,Private,293926,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,30,United-States,<=50K -29,Self-emp-not-inc,69132,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,99999,0,60,United-States,>50K -25,Private,113099,HS-grad,9,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -47,Self-emp-inc,206947,Assoc-acdm,12,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,67,United-States,<=50K -29,State-gov,159782,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -19,Private,410543,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,Private,34446,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,209101,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,>50K -43,Federal-gov,95902,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,<=50K -56,Self-emp-not-inc,214323,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,236323,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Federal-gov,201127,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,56,United-States,>50K -40,Private,142886,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,77313,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -17,?,212125,10th,6,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -36,Private,187098,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,196857,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -53,Local-gov,155314,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -72,Self-emp-not-inc,203289,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -46,Private,117059,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K -33,Private,178587,Some-college,10,Separated,Prof-specialty,Unmarried,White,Female,0,0,37,United-States,<=50K -22,Private,82393,9th,5,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -17,?,145258,11th,7,Never-married,?,Other-relative,White,Female,0,0,25,United-States,<=50K -41,Private,185145,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,?,>50K -46,Private,72896,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,<=50K -33,Private,134886,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -32,Private,223212,Preschool,1,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -52,Self-emp-not-inc,174752,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,230563,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -48,State-gov,353824,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,>50K -22,Private,117363,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -25,Private,285367,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -60,?,139391,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,42,United-States,<=50K -38,Private,198170,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,38948,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -49,Private,188515,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Self-emp-not-inc,177810,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -48,Private,188432,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,46,United-States,>50K -31,Private,178506,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -40,Self-emp-not-inc,129298,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,165315,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,37,United-States,<=50K -68,Private,117236,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,45,United-States,>50K -18,?,172214,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,20,United-States,<=50K -19,Private,63434,12th,8,Never-married,Farming-fishing,Own-child,White,Female,0,0,30,United-States,<=50K -35,Self-emp-inc,140854,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -28,Private,133043,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K -53,Private,113176,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,2597,0,40,United-States,<=50K -33,Private,259301,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,41,United-States,<=50K -20,Private,196643,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,364365,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -36,Private,269318,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -34,Private,108454,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -32,Private,171637,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,183589,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,25,United-States,<=50K -24,Private,107801,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -34,Private,179877,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -32,Private,168981,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,<=50K -37,Private,120590,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -31,Private,310773,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,40,Mexico,<=50K -21,Private,197050,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -47,Private,159726,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,85,United-States,>50K -23,Private,210797,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,55291,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -60,?,141221,Bachelors,13,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,2163,25,South,<=50K -17,Private,276718,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -67,Private,336163,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,24,United-States,<=50K -57,Private,112840,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -17,Private,165918,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,Peru,<=50K -53,Private,165745,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Self-emp-not-inc,259299,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,50,United-States,>50K -24,State-gov,197731,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,49,United-States,>50K -48,Self-emp-not-inc,197702,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,162238,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,47,United-States,>50K -38,Private,213260,HS-grad,9,Separated,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K -51,Private,53833,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,46,United-States,>50K -18,Private,89419,HS-grad,9,Never-married,Tech-support,Own-child,White,Female,0,0,10,United-States,<=50K -23,Private,119704,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,433170,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -34,Private,182714,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,35,?,<=50K -39,Private,172538,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -20,?,220115,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,12,United-States,<=50K -39,Private,158956,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -21,Self-emp-not-inc,25631,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,476558,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -54,Federal-gov,35576,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,203463,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,State-gov,317647,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -59,Self-emp-not-inc,170411,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -24,?,174182,11th,7,Married-civ-spouse,?,Wife,Other,Female,0,0,24,United-States,<=50K -54,Private,220055,Bachelors,13,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -54,Private,231482,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -67,Private,335979,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,991,0,18,United-States,<=50K -33,Private,279173,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -37,Private,89559,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -47,Private,161950,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,25,Germany,<=50K -51,Private,131068,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,219632,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,175507,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -58,Self-emp-inc,182062,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,24,United-States,>50K -27,Private,287476,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,3325,0,40,United-States,<=50K -36,Private,206253,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,1617,40,United-States,<=50K -20,?,189203,Assoc-acdm,12,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,21698,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Self-emp-not-inc,328051,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -32,Private,356689,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,3887,0,40,United-States,<=50K -59,Private,121865,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -45,Self-emp-not-inc,420986,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -43,?,218558,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,288992,10th,6,Divorced,Prof-specialty,Unmarried,White,Male,14344,0,68,United-States,>50K -20,?,189740,Some-college,10,Never-married,?,Own-child,White,Female,0,0,32,United-States,<=50K -29,Local-gov,188909,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,42,United-States,<=50K -28,Private,213081,11th,7,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,Jamaica,<=50K -18,Self-emp-not-inc,157131,11th,7,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -49,Private,98010,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -46,Private,207677,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -58,?,361870,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,30,United-States,<=50K -56,Private,266091,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Mexico,<=50K -41,Private,106627,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,50,United-States,<=50K -50,Self-emp-inc,167793,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,60,United-States,>50K -74,Self-emp-not-inc,206682,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1648,35,United-States,<=50K -30,Private,243165,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,201928,HS-grad,9,Widowed,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K -19,Private,128346,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,197288,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -20,?,169184,Some-college,10,Never-married,?,Other-relative,Black,Female,0,0,40,United-States,<=50K -36,Private,245521,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,Mexico,<=50K -36,Private,129591,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Local-gov,47415,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1628,30,United-States,<=50K -37,Self-emp-not-inc,188563,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,50,United-States,>50K -29,Self-emp-not-inc,184710,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,63734,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -18,Private,111256,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -40,Self-emp-inc,111483,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -26,Self-emp-inc,266639,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Self-emp-not-inc,93853,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -32,Private,184207,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,238002,9th,5,Married-civ-spouse,Transport-moving,Other-relative,White,Male,0,0,40,Mexico,<=50K -28,?,30237,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,196545,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1902,40,United-States,>50K -47,Private,144844,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,280500,Some-college,10,Never-married,Tech-support,Own-child,Black,Female,0,0,40,United-States,<=50K -73,?,135601,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -37,Private,409189,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,Mexico,<=50K -50,Private,23686,Some-college,10,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,>50K -19,Private,229756,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -32,Local-gov,95530,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -44,Local-gov,73199,Assoc-voc,11,Divorced,Tech-support,Unmarried,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -20,Private,196745,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -29,Private,79481,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,?,116934,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -34,Private,100950,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,Germany,<=50K -44,Local-gov,56651,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,United-States,<=50K -18,Private,186954,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -22,Private,264874,Some-college,10,Never-married,Tech-support,Other-relative,White,Female,0,0,40,United-States,<=50K -39,State-gov,183092,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -26,Local-gov,273399,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,Peru,<=50K -29,?,142443,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K -21,Private,177526,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -49,Local-gov,31267,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,321666,Assoc-acdm,12,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,20,United-States,<=50K -26,Private,331861,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,?,<=50K -25,Private,283515,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,60,United-States,<=50K -30,Private,54608,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,162238,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -30,Private,175931,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,236804,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,168782,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,227065,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -46,Self-emp-inc,285335,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -31,Private,259705,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Female,0,0,40,United-States,<=50K -57,Private,24384,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,10,United-States,<=50K -58,Private,322013,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,49797,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,52566,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,266275,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -72,Self-emp-not-inc,285408,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2246,28,United-States,>50K -26,Self-emp-not-inc,177858,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,1876,38,United-States,<=50K -45,Federal-gov,183804,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,107231,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K -23,Private,173679,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Local-gov,163965,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -18,Private,173585,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,15,Peru,<=50K -27,Private,172009,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,44363,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,35,United-States,<=50K -45,Private,246392,HS-grad,9,Never-married,Priv-house-serv,Unmarried,Black,Female,0,0,30,United-States,<=50K -53,Private,167033,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -54,Private,143822,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -41,Private,37869,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -23,Private,447488,9th,5,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,35,Mexico,<=50K -17,Private,239346,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,18,United-States,<=50K -42,Private,245975,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,34632,12th,8,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Private,121362,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,2258,38,United-States,>50K -21,State-gov,24008,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -44,Private,165492,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -48,Private,326048,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Male,0,0,44,United-States,<=50K -46,Private,250821,Prof-school,15,Divorced,Farming-fishing,Unmarried,White,Male,0,0,48,United-States,<=50K -37,Self-emp-not-inc,154641,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,86,United-States,<=50K -35,Private,198202,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,54,United-States,<=50K -27,Local-gov,170504,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,191342,Some-college,10,Never-married,Sales,Not-in-family,Other,Male,0,0,40,India,<=50K -19,Private,238969,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K -63,Self-emp-not-inc,344128,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -69,?,148694,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -69,?,180187,Assoc-acdm,12,Widowed,?,Not-in-family,White,Female,0,0,6,Italy,<=50K -36,State-gov,168894,Assoc-voc,11,Married-spouse-absent,Protective-serv,Own-child,White,Female,0,0,40,Germany,<=50K -20,Private,203263,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -28,State-gov,89564,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K -58,Private,97562,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,38,United-States,<=50K -48,Private,336540,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,139647,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,56,United-States,<=50K -38,Private,160192,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,44,United-States,<=50K -50,Local-gov,320386,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,32126,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Self-emp-not-inc,275445,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K -38,Self-emp-inc,54953,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K -54,Private,103580,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,>50K -42,Private,245565,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,12,England,<=50K -32,Private,39223,10th,6,Separated,Craft-repair,Unmarried,Black,Female,0,0,40,?,<=50K -55,State-gov,117357,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,70,?,>50K -63,Private,207385,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -21,Private,355287,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,48,Mexico,<=50K -62,?,141218,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K -46,Local-gov,207677,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -43,Private,102114,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -35,Self-emp-not-inc,60269,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -37,Private,278632,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,355551,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Female,0,0,45,Mexico,<=50K -45,Private,246891,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,72,Canada,>50K -19,Private,124486,12th,8,Never-married,Other-service,Own-child,White,Male,0,1602,20,United-States,<=50K -61,?,202106,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,1902,40,United-States,>50K -61,Private,191417,9th,5,Widowed,Exec-managerial,Not-in-family,Black,Male,0,0,65,United-States,<=50K -21,Private,184543,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,122206,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,229015,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -28,Private,130067,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -40,Local-gov,306495,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -32,Private,232855,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -55,Local-gov,171328,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K -64,Private,144182,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,23,United-States,<=50K -34,Private,102858,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -19,?,199495,Some-college,10,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K -58,Private,209438,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -46,Private,74895,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,55,United-States,<=50K -44,Private,184378,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,446512,Some-college,10,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Federal-gov,113688,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -39,Private,333305,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,45,United-States,>50K -19,Private,118535,12th,8,Never-married,Sales,Own-child,White,Female,0,0,18,United-States,<=50K -56,Private,76142,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -53,Local-gov,38795,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -68,Private,208478,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,18,?,<=50K -69,Private,203313,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,991,0,18,United-States,<=50K -62,Private,247483,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -62,State-gov,198686,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,56118,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Federal-gov,359808,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,231554,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,50,United-States,<=50K -33,Private,34848,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,199934,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,7298,0,40,United-States,>50K -29,Private,196243,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,Self-emp-inc,66360,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,6418,0,35,United-States,>50K -18,Private,189487,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -22,Private,194848,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,167309,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,40,United-States,>50K -44,Private,192878,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -48,Private,70209,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,20,United-States,<=50K -52,Federal-gov,123011,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -53,Self-emp-not-inc,135339,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,7688,0,20,China,>50K -48,Federal-gov,497486,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,1471,0,40,United-States,<=50K -25,Private,178478,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -41,Private,149909,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K -37,Private,103323,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Private,239404,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,45,United-States,<=50K -67,Private,165082,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -36,Private,389725,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -47,Private,374580,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,52,United-States,<=50K -36,?,187983,HS-grad,9,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,259300,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,16,United-States,<=50K -19,Private,277695,9th,5,Never-married,Farming-fishing,Other-relative,White,Male,0,0,16,Mexico,<=50K -24,Private,230248,7th-8th,4,Separated,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,196342,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K -17,Private,160968,11th,7,Never-married,Adm-clerical,Own-child,White,Male,0,0,16,United-States,<=50K -28,Private,115438,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,231043,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,3908,0,45,United-States,<=50K -35,Private,129597,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,46,United-States,<=50K -24,Local-gov,387108,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K -43,Private,105936,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K -20,Private,107242,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,?,<=50K -55,Private,125000,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,>50K -22,Private,229456,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,35,United-States,<=50K -20,Private,230113,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K -44,Private,106698,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,133454,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,295520,9th,5,Widowed,Sales,Unmarried,Black,Female,0,0,25,United-States,<=50K -26,Private,151551,Some-college,10,Separated,Sales,Own-child,Amer-Indian-Eskimo,Male,2597,0,48,United-States,<=50K -58,Private,100313,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,40,United-States,>50K -23,Private,320294,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,162381,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,183898,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,2354,0,40,United-States,<=50K -41,Self-emp-inc,32016,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,62,United-States,<=50K -31,Private,117028,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,280278,HS-grad,9,Widowed,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -57,Private,342906,9th,5,Married-civ-spouse,Sales,Husband,Black,Male,0,0,55,United-States,>50K -25,Private,181598,11th,7,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,224059,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,148549,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -34,Private,97355,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -37,Private,154571,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -43,Self-emp-inc,140988,Bachelors,13,Married-civ-spouse,Sales,Other-relative,Asian-Pac-Islander,Male,0,0,45,India,<=50K -20,Private,148409,Some-college,10,Never-married,Sales,Other-relative,White,Male,1055,0,20,United-States,<=50K -40,Local-gov,150755,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,75,United-States,>50K -27,Private,87006,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1579,40,United-States,<=50K -35,Private,112158,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,121488,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,State-gov,283635,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,69758,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -40,Private,199900,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,55,United-States,>50K -54,Private,88019,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K -28,Private,31935,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Private,323055,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,189498,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -52,Private,89041,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,112507,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -19,Private,236940,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,278514,HS-grad,9,Divorced,Craft-repair,Own-child,White,Female,0,0,42,United-States,<=50K -21,?,433330,Some-college,10,Never-married,?,Unmarried,White,Male,0,0,40,United-States,<=50K -25,Private,258379,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,32,United-States,<=50K -44,Private,162028,11th,7,Divorced,Sales,Unmarried,White,Female,0,0,44,United-States,<=50K -20,Private,197997,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,98350,10th,6,Married-spouse-absent,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,37,China,<=50K -39,Private,165848,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -34,Private,178615,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,228939,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -27,Private,210498,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -53,Private,154891,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,165937,Assoc-voc,11,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -23,?,138768,Bachelors,13,Never-married,?,Own-child,White,Male,2907,0,40,United-States,<=50K -39,Private,160120,Some-college,10,Never-married,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -30,Private,382368,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,123011,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -33,Private,119033,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,496856,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -44,Private,194049,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K -30,Private,299223,Some-college,10,Divorced,Sales,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -66,Private,174788,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -39,Private,176101,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,38948,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -34,Private,271933,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,United-States,<=50K -17,Private,122041,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -43,Private,115932,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K -46,Private,265105,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -17,Private,100828,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -60,Private,121319,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3137,0,40,Poland,<=50K -63,Private,308028,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,5013,0,40,United-States,<=50K -42,Private,213214,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,348618,9th,5,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K -33,Private,275632,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,239161,Some-college,10,Married-civ-spouse,Sales,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -20,Private,215495,9th,5,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,Mexico,<=50K -30,Private,214063,Some-college,10,Never-married,Farming-fishing,Other-relative,Black,Male,0,0,72,United-States,<=50K -37,Private,122493,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -33,?,211699,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Self-emp-not-inc,175622,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -65,Private,153522,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,17,United-States,<=50K -35,Private,258339,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -27,Private,119793,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,133503,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1977,45,United-States,>50K -18,Private,162840,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -41,Local-gov,67671,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,188888,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1340,40,United-States,<=50K -45,Private,140644,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -18,?,126154,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,245659,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,38,El-Salvador,<=50K -28,Private,129624,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,?,<=50K -47,Private,104068,HS-grad,9,Divorced,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -30,Private,337908,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,20,United-States,<=50K -36,Private,161141,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,162228,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -44,Private,116391,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,314310,HS-grad,9,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K -61,?,394534,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,6,United-States,<=50K -29,Private,308136,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,194698,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -18,?,67793,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,60,United-States,<=50K -29,Local-gov,302422,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,1564,56,United-States,>50K -27,Private,289147,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -21,Private,229826,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,20,United-States,<=50K -22,?,154235,Some-college,10,Married-civ-spouse,?,Wife,White,Female,3781,0,35,United-States,<=50K -49,Self-emp-inc,246739,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -35,Private,188041,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -47,Private,187440,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -37,Local-gov,105266,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,249208,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K -26,Private,203492,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,?,71076,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -55,Federal-gov,146477,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -47,Private,201699,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,5178,0,50,United-States,>50K -59,Private,205949,HS-grad,9,Separated,Craft-repair,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -70,Private,90245,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,5,United-States,<=50K -53,Federal-gov,177647,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,France,>50K -39,Private,126494,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,257735,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,1161363,Some-college,10,Separated,Tech-support,Unmarried,White,Female,0,0,50,Columbia,<=50K -19,?,257343,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,221452,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -74,Private,260669,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,1,United-States,<=50K -40,Private,192344,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -35,Private,80479,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,108808,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -41,Private,175674,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -38,Private,272950,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Self-emp-not-inc,160786,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K -46,Self-emp-not-inc,122206,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,121168,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,209547,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -29,Federal-gov,244473,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -39,Private,176296,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,60,United-States,<=50K -31,Private,91666,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,60,United-States,<=50K -50,Local-gov,191025,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,4650,0,70,United-States,<=50K -31,State-gov,63704,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,31659,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -27,Private,191230,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,25,United-States,<=50K -28,Private,56340,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -21,Private,221157,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,30,United-States,<=50K -57,Local-gov,143910,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Local-gov,435836,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,?,61499,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,209182,Preschool,1,Separated,Other-service,Unmarried,White,Female,0,0,40,El-Salvador,<=50K -36,Self-emp-inc,107218,Some-college,10,Divorced,Sales,Unmarried,Asian-Pac-Islander,Male,0,0,55,United-States,<=50K -51,Private,55500,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -39,Local-gov,357962,Assoc-acdm,12,Never-married,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,<=50K -43,Private,200355,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K -38,Private,320451,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -51,Local-gov,184542,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -43,State-gov,206927,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,54310,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -35,Private,208165,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -40,Private,146908,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -39,Private,318416,10th,6,Separated,Other-service,Own-child,Black,Female,0,0,12,United-States,<=50K -47,Self-emp-inc,207540,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K -23,Private,69911,Preschool,1,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -26,Private,305304,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -25,Local-gov,295289,HS-grad,9,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -29,Private,275110,Some-college,10,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,42,United-States,<=50K -30,Private,339773,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -57,State-gov,399246,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,1485,40,China,<=50K -37,Self-emp-inc,51264,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -39,Private,49020,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,3103,0,48,United-States,>50K -37,Private,178100,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -45,?,215943,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,176178,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K -25,State-gov,180884,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -61,State-gov,130466,HS-grad,9,Widowed,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -59,Private,328525,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,2414,0,15,United-States,<=50K -28,Private,142712,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,176321,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Private,145041,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Cuba,>50K -29,Private,95423,HS-grad,9,Married-AF-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,<=50K -49,Self-emp-not-inc,215096,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -41,Local-gov,177599,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K -33,Private,123920,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -20,?,201490,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,46990,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,20,United-States,>50K -32,Private,388672,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,16,United-States,<=50K -48,Private,149210,Bachelors,13,Divorced,Sales,Not-in-family,Black,Male,0,0,40,United-States,>50K -24,Private,134787,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -50,Private,185407,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,>50K -31,State-gov,86143,HS-grad,9,Never-married,Protective-serv,Other-relative,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -23,Private,41721,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -35,Private,195744,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -50,Local-gov,96062,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,215150,9th,5,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -52,Private,270728,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,48,Cuba,<=50K -44,Private,75012,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -43,Private,206139,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -39,Private,50700,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,224258,7th-8th,4,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Mexico,>50K -31,Private,240441,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,1564,40,United-States,>50K -40,Self-emp-not-inc,406811,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -28,Local-gov,34452,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,361341,12th,8,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,25,Thailand,<=50K -35,Private,78247,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -44,Private,106900,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -40,Self-emp-not-inc,165108,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,England,<=50K -20,Private,406641,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -55,Private,171467,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Male,0,0,48,United-States,>50K -30,Private,341187,7th-8th,4,Separated,Transport-moving,Not-in-family,White,Male,0,0,35,United-States,<=50K -38,Private,119177,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -75,Private,104896,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,2653,0,20,United-States,<=50K -17,Private,342752,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -79,?,76641,Masters,14,Married-civ-spouse,?,Husband,White,Male,20051,0,40,Poland,>50K -20,Private,47541,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -25,Private,233461,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,30,United-States,<=50K -27,Private,303954,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -19,Private,163015,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -21,Private,75763,Some-college,10,Married-civ-spouse,Sales,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -19,Private,43003,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -42,Private,328239,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,130856,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K -47,Self-emp-not-inc,190072,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Iran,>50K -59,Private,170148,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -50,Private,104501,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -48,Self-emp-inc,213140,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,<=50K -33,Local-gov,175509,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,173611,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,148995,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,99999,0,30,United-States,>50K -24,Private,64520,7th-8th,4,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,139822,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -24,Private,258700,5th-6th,3,Never-married,Farming-fishing,Other-relative,Black,Male,0,0,40,Mexico,<=50K -29,Private,34796,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,124963,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,United-States,<=50K -24,Private,65743,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -28,Private,161087,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,45,Jamaica,<=50K -63,?,424591,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -36,Federal-gov,203836,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -58,State-gov,110199,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,316059,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,36,United-States,<=50K -42,Private,255667,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -39,Private,193689,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,60722,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -39,Private,187847,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,233275,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -51,Private,215404,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,15024,0,40,United-States,>50K -45,Private,201865,Bachelors,13,Married-spouse-absent,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -45,Private,118889,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,State-gov,368739,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,123833,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,1408,40,United-States,<=50K -38,Private,171344,11th,7,Married-spouse-absent,Transport-moving,Own-child,White,Male,0,0,36,Mexico,<=50K -39,Private,153976,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,374883,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -17,Private,167658,12th,8,Never-married,Sales,Own-child,White,Female,0,0,6,United-States,<=50K -31,Private,348504,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -22,Private,258509,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,24,United-States,<=50K -47,State-gov,108890,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,1831,0,38,United-States,<=50K -28,Private,188236,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,?,355571,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -41,Private,425049,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -29,Private,142555,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,42,United-States,<=50K -42,Self-emp-not-inc,29320,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,0,0,60,United-States,>50K -52,Federal-gov,207841,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,187329,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,270973,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,197332,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,46,United-States,>50K -21,?,175166,Some-college,10,Never-married,?,Own-child,White,Female,2176,0,40,United-States,<=50K -45,Local-gov,160187,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -21,Private,197918,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -74,Private,192290,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,20,United-States,<=50K -29,Private,241895,HS-grad,9,Married-civ-spouse,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K -39,Local-gov,164515,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,147206,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,45,United-States,>50K -23,Self-emp-inc,306868,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Local-gov,169837,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -61,?,124648,10th,6,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,185057,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,>50K -23,Private,240049,Preschool,1,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Laos,<=50K -18,Private,164441,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K -38,Private,179314,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,319854,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,4650,0,35,United-States,<=50K -19,Self-emp-inc,148955,Some-college,10,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,35,South,<=50K -23,Private,32950,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,4101,0,40,United-States,<=50K -37,Private,206699,HS-grad,9,Divorced,Tech-support,Own-child,White,Male,0,0,45,United-States,<=50K -25,Private,385646,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,31438,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,43,?,<=50K -45,Private,168598,12th,8,Married-civ-spouse,Adm-clerical,Wife,Black,Female,3103,0,40,United-States,>50K -32,Private,97306,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,48,United-States,<=50K -65,?,106910,11th,7,Divorced,?,Not-in-family,Asian-Pac-Islander,Female,0,0,15,United-States,<=50K -18,Self-emp-not-inc,29582,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,220284,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,Mexico,<=50K -29,Private,110226,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,65,?,<=50K -53,Private,240914,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,115496,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -27,Private,105817,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -24,State-gov,330836,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,36327,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,33423,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -45,Private,75673,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -36,Private,185744,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,United-States,>50K -36,Private,186035,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -44,Local-gov,196456,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1669,40,United-States,<=50K -24,Private,111450,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K -39,Private,115289,Some-college,10,Divorced,Sales,Own-child,White,Male,0,1380,70,United-States,<=50K -50,Private,74879,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,117312,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,40,United-States,>50K -58,Private,272902,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Self-emp-inc,220230,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,48,United-States,<=50K -24,Private,90934,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,55,United-States,<=50K -52,Self-emp-inc,234286,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -46,Private,364548,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,8614,0,40,United-States,>50K -50,Self-emp-inc,283676,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K -34,Private,195602,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -40,Private,70761,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K -53,Private,142717,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,124242,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -58,?,53481,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,70,United-States,<=50K -26,Private,287797,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -22,Private,188274,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,171968,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -78,?,74795,Assoc-acdm,12,Widowed,?,Not-in-family,White,Female,0,0,4,United-States,<=50K -36,Private,218490,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Germany,>50K -43,Local-gov,94937,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,28,United-States,<=50K -60,Private,109511,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -49,Local-gov,269527,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -50,Self-emp-inc,201689,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,63,?,>50K -34,Self-emp-not-inc,120672,7th-8th,4,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,10,United-States,<=50K -46,Private,130779,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -46,Local-gov,441542,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -69,Private,114801,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -32,Private,180284,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -40,Local-gov,27444,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -61,Private,180382,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3411,0,45,United-States,<=50K -56,Private,143266,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -47,Private,139268,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,126208,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -37,Private,186191,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,46,United-States,<=50K -51,Private,197163,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,2559,50,United-States,>50K -44,State-gov,193524,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K -33,Private,181388,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Self-emp-not-inc,124963,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,80,United-States,>50K -24,Private,188925,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,149230,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -40,Private,388725,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,113543,Masters,14,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -61,?,187636,Bachelors,13,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -56,Self-emp-inc,267763,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,<=50K -69,Federal-gov,143849,11th,7,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -41,Self-emp-not-inc,97277,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,10,United-States,<=50K -40,Private,199303,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,124852,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -26,Private,50053,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -53,Private,97005,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,>50K -90,?,175444,7th-8th,4,Separated,?,Not-in-family,White,Female,0,0,15,United-States,<=50K -39,Private,337898,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K -51,Federal-gov,124076,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Federal-gov,277420,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Puerto-Rico,>50K -51,Private,280278,10th,6,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -17,Private,241185,12th,8,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -42,Private,202188,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,1741,50,United-States,<=50K -42,Private,198422,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -29,Private,82242,Prof-school,15,Never-married,Prof-specialty,Unmarried,White,Male,27828,0,45,Germany,>50K -33,Private,178429,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -47,Private,185866,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,?,>50K -43,Private,212847,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -64,Self-emp-not-inc,219661,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,9,United-States,>50K -40,Private,321856,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,>50K -21,Private,313873,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K -31,Private,144064,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,139586,Assoc-voc,11,Widowed,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,>50K -32,Private,419691,12th,8,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -66,?,212759,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,6767,0,20,United-States,<=50K -27,Private,195562,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,20,United-States,<=50K -40,Private,205706,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -27,Private,131310,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K -18,Private,54440,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -43,Private,200734,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -52,Private,81859,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K -31,Private,159589,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,85,United-States,<=50K -28,Private,300915,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -44,Private,185057,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -37,Self-emp-not-inc,42044,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K -35,Private,166416,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -42,Private,212737,9th,5,Separated,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -18,Private,236069,10th,6,Never-married,Other-service,Own-child,Black,Male,0,0,10,United-States,<=50K -46,Self-emp-inc,216414,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,1977,60,United-States,>50K -54,Federal-gov,27432,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -54,Private,145419,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1672,50,United-States,<=50K -56,Private,147202,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,Germany,<=50K -27,Private,29261,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K -26,Private,359543,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K -41,Local-gov,227644,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,90021,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,?,<=50K -32,Private,188154,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -18,Private,110142,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -36,Private,186415,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,65,United-States,<=50K -37,Private,175720,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,172865,5th-6th,3,Never-married,Farming-fishing,Own-child,White,Male,0,0,25,Mexico,<=50K -46,Private,35969,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,51,United-States,<=50K -24,Private,433330,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Self-emp-inc,160261,Bachelors,13,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,35,Taiwan,<=50K -55,Private,189528,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -64,Local-gov,113324,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Local-gov,118500,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,Private,89681,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,99,United-States,<=50K -46,Federal-gov,199925,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,102308,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -18,Private,444607,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -32,Private,176998,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -38,?,94559,Bachelors,13,Married-civ-spouse,?,Wife,Other,Female,7688,0,50,?,>50K -34,State-gov,366198,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Germany,>50K -35,Private,180686,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,40,United-States,<=50K -26,Private,108019,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,3325,0,40,United-States,<=50K -24,Private,153542,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,35,United-States,<=50K -45,Self-emp-not-inc,210364,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,80,United-States,>50K -36,Private,185394,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,34,United-States,<=50K -44,Private,222703,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Nicaragua,<=50K -23,Private,183945,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -57,Private,161964,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -41,Self-emp-not-inc,375574,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,Mexico,>50K -20,Local-gov,312427,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,30,Puerto-Rico,<=50K -32,Private,53373,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K -60,Private,166330,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,99999,0,40,United-States,>50K -38,Self-emp-inc,124665,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Female,0,0,20,United-States,<=50K -29,Private,146719,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Female,0,0,45,United-States,<=50K -22,Private,306593,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,156687,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,30,India,<=50K -40,Local-gov,153489,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,White,Male,3137,0,40,United-States,<=50K -59,Private,231377,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,45,United-States,>50K -45,State-gov,127089,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -76,Local-gov,329355,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,13,United-States,<=50K -45,Private,178319,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -49,Local-gov,304246,Masters,14,Separated,Prof-specialty,Unmarried,White,Female,0,0,70,United-States,<=50K -36,Local-gov,174640,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,Black,Female,0,0,60,United-States,>50K -22,Private,148294,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -47,Private,298037,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,44,United-States,<=50K -26,Private,98155,HS-grad,9,Married-AF-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -21,Private,102766,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,78529,HS-grad,9,Never-married,Transport-moving,Own-child,White,Female,0,0,15,United-States,<=50K -26,Private,136309,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,275357,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,0,0,25,United-States,<=50K -31,Self-emp-not-inc,33117,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,England,<=50K -57,Local-gov,199546,Masters,14,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -39,Private,184128,11th,7,Divorced,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -36,Private,337039,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,Black,Male,14344,0,40,England,>50K -66,Private,126511,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -34,Local-gov,325792,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -80,?,91901,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K -21,Private,119474,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -40,Private,153238,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,32,United-States,>50K -49,Local-gov,321851,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -48,Self-emp-not-inc,108557,Some-college,10,Divorced,Sales,Not-in-family,White,Female,3325,0,60,United-States,<=50K -19,State-gov,67217,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,594,0,24,United-States,<=50K -42,Private,195508,11th,7,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -59,Private,102193,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -63,Private,20323,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,122206,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -41,Private,200652,9th,5,Divorced,Other-service,Other-relative,White,Female,0,0,35,United-States,<=50K -42,Private,173590,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1628,40,United-States,<=50K -19,Private,184121,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -45,Local-gov,53123,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,United-States,<=50K -47,Private,175990,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,>50K -47,Private,316101,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,34080,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,England,<=50K -49,Self-emp-not-inc,219718,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -36,Private,126954,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,99185,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Male,0,0,40,United-States,>50K -21,?,40052,Some-college,10,Never-married,?,Not-in-family,White,Male,0,2001,45,United-States,<=50K -39,Private,120074,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Self-emp-not-inc,77336,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,60981,Some-college,10,Never-married,Sales,Own-child,White,Female,2176,0,35,United-States,<=50K -59,Private,77884,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -50,Private,65408,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -31,Private,173279,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -52,?,318351,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,>50K -41,Self-emp-not-inc,157686,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -45,Private,277434,Assoc-acdm,12,Widowed,Tech-support,Unmarried,White,Male,0,0,40,United-States,>50K -54,Local-gov,184620,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,34443,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,25,United-States,<=50K -50,Private,268553,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,40,United-States,>50K -20,?,41356,Assoc-acdm,12,Never-married,?,Not-in-family,White,Female,0,0,32,United-States,<=50K -43,Private,459342,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Local-gov,148549,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,254293,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,2174,0,45,United-States,<=50K -54,Private,104501,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -26,Private,238367,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,180439,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -51,Self-emp-inc,100029,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -54,Private,215990,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,44,United-States,>50K -32,State-gov,111567,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,49,United-States,>50K -46,Private,319163,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -60,?,160155,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,12,United-States,<=50K -52,Local-gov,378045,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -44,Private,177083,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Self-emp-inc,119891,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,40,United-States,<=50K -57,Private,127779,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,299353,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,Private,63861,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,112403,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,35,United-States,<=50K -49,Private,83610,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,66,United-States,>50K -28,Private,452808,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,176871,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -45,Private,100651,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,1980,40,United-States,<=50K -17,Private,266134,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K -54,Local-gov,196307,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,87891,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,182314,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -55,?,136819,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,181666,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,40,?,<=50K -37,Private,179671,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -34,Private,27494,HS-grad,9,Divorced,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,48,United-States,>50K -38,Private,338320,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Canada,<=50K -51,Private,199688,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -41,Private,96635,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,60,United-States,<=50K -24,Private,165064,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Self-emp-inc,109856,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -33,Private,82393,HS-grad,9,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -31,Private,209538,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,209891,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,50,United-States,<=50K -32,Self-emp-not-inc,56026,Bachelors,13,Married-civ-spouse,Sales,Other-relative,White,Male,0,0,45,United-States,<=50K -35,Private,210844,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -43,Private,117158,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -40,Private,193144,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K -19,Self-emp-not-inc,137578,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,53,United-States,<=50K -23,Private,234108,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,32,United-States,<=50K -40,Private,155767,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -59,Private,110820,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,>50K -43,Private,403276,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,147269,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,?,<=50K -53,Private,123092,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,165673,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -68,Self-emp-inc,182131,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,10605,0,20,United-States,>50K -41,Private,204415,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K -32,Self-emp-not-inc,92531,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -25,State-gov,157028,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,228649,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,147253,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,15,United-States,<=50K -33,Private,160784,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Local-gov,163189,Some-college,10,Married-civ-spouse,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -29,Private,146343,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K -20,Private,225811,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,23,United-States,<=50K -68,State-gov,202699,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2377,42,?,>50K -58,Private,374108,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,93930,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,412248,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -30,Private,427474,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -67,State-gov,160158,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,8,United-States,<=50K -26,Private,159603,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K -53,Self-emp-not-inc,101017,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -27,Local-gov,163862,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -29,Without-pay,212588,Some-college,10,Married-civ-spouse,Farming-fishing,Own-child,White,Male,0,0,65,United-States,<=50K -38,State-gov,321943,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -17,Private,317702,9th,5,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -48,Private,287480,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -52,Private,135607,Some-college,10,Widowed,Other-service,Unmarried,Black,Female,0,0,40,?,<=50K -28,Private,168514,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -18,Private,88642,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -28,Private,227104,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -34,Private,157289,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,213321,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -46,Private,294907,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -30,Private,251411,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -20,Private,183594,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,189565,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,2174,0,50,United-States,<=50K -55,Private,217802,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,25,United-States,<=50K -20,Private,388156,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,24,United-States,<=50K -54,Private,447555,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -27,Private,204098,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -43,Private,193882,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,55,United-States,<=50K -17,?,89870,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -48,State-gov,49595,Masters,14,Divorced,Protective-serv,Not-in-family,White,Male,0,0,72,United-States,<=50K -34,Private,228873,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -66,?,108185,9th,5,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K -29,Private,176027,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,?,405374,Some-college,10,Separated,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K -37,Private,39606,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -56,Private,178353,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -58,Private,160662,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -54,Self-emp-inc,196328,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,Jamaica,<=50K -45,Private,20534,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,41,United-States,<=50K -29,Self-emp-inc,156815,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,360252,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -43,Private,245056,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -33,Local-gov,422718,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,118081,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,3103,0,42,United-States,<=50K -25,Private,262978,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -25,Private,187577,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -69,?,259323,Prof-school,15,Divorced,?,Not-in-family,White,Male,0,0,5,United-States,<=50K -37,Private,160920,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,194247,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,25,United-States,<=50K -39,Private,134367,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,24,United-States,>50K -17,Private,123335,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -27,Local-gov,332249,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,358124,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K -55,Private,208019,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -39,Private,318452,11th,7,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -41,Private,207779,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,238376,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -51,Private,673764,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -67,State-gov,239705,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,12,?,<=50K -40,Private,133974,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -58,Private,138285,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K -23,Private,152140,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Local-gov,287920,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -51,Private,289572,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K -43,State-gov,78765,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -25,State-gov,99076,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,2597,0,50,United-States,<=50K -36,Self-emp-not-inc,224886,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,2407,0,40,United-States,<=50K -58,Private,206532,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,129529,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Local-gov,202473,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,162312,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,40,South,<=50K -45,Private,72844,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,46,United-States,<=50K -49,Private,206947,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,64112,12th,8,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,State-gov,20057,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,38,Philippines,<=50K -42,State-gov,222884,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,132683,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,50,United-States,<=50K -73,?,177773,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K -59,Self-emp-not-inc,144071,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,2580,0,15,El-Salvador,<=50K -28,Private,148429,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2885,0,40,United-States,<=50K -19,Private,168601,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K -31,State-gov,78291,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Federal-gov,243929,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,<=50K -21,Private,215039,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,13,?,<=50K -47,Self-emp-not-inc,185673,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -30,Private,121142,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K -41,Private,173858,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -59,?,87247,10th,6,Divorced,?,Not-in-family,White,Female,0,0,40,England,<=50K -43,Private,334991,Some-college,10,Separated,Transport-moving,Unmarried,White,Male,4934,0,51,United-States,>50K -48,Private,93476,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,2001,40,United-States,<=50K -44,Private,174283,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -44,Private,128676,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -24,Private,205844,Bachelors,13,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K -28,Private,62535,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K -50,Private,240612,HS-grad,9,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,10,United-States,<=50K -33,Private,176992,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -23,Local-gov,254127,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Female,0,0,50,United-States,<=50K -30,?,138744,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,128460,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -21,State-gov,56582,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,10,United-States,<=50K -52,Private,153751,9th,5,Separated,Other-service,Not-in-family,Black,Female,0,0,30,United-States,<=50K -26,Private,284343,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -27,State-gov,312692,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,12,United-States,<=50K -28,Private,111520,11th,7,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,Nicaragua,<=50K -50,Self-emp-inc,304955,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -28,Private,288598,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -61,Self-emp-not-inc,117387,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -32,Private,230484,7th-8th,4,Separated,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -30,Federal-gov,319280,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Local-gov,186416,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Local-gov,147372,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,2444,40,United-States,>50K -36,Private,145933,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,2258,70,United-States,<=50K -28,Private,110164,Some-college,10,Divorced,Other-service,Other-relative,Black,Male,0,0,24,United-States,<=50K -49,Private,225454,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -61,Self-emp-not-inc,220342,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -41,Self-emp-not-inc,144002,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -55,Private,225365,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -36,Private,187983,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -21,Private,89991,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -57,Self-emp-not-inc,225913,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -49,Self-emp-inc,229737,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,37,United-States,>50K -59,Private,145574,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,274363,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,80,United-States,>50K -59,Private,365390,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,266467,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -42,Private,183384,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -41,Local-gov,112797,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,<=50K -45,Federal-gov,76008,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -36,Private,156780,HS-grad,9,Never-married,Sales,Other-relative,Asian-Pac-Islander,Female,0,0,40,?,<=50K -42,Local-gov,186909,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K -25,Private,25497,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,102771,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -58,Self-emp-not-inc,248841,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -39,Private,30916,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,123270,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -22,Self-emp-not-inc,210165,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,222596,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Male,0,0,50,United-States,>50K -53,Self-emp-inc,188067,Some-college,10,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,119592,Assoc-acdm,12,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,2824,40,?,>50K -27,Private,250314,9th,5,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Guatemala,<=50K -60,Private,205934,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -46,Private,186172,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K -56,Self-emp-inc,98418,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K -36,Private,329980,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,27828,0,40,United-States,>50K -56,Private,147653,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K -35,?,195946,Some-college,10,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -29,Self-emp-inc,168221,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1740,70,United-States,<=50K -19,Private,151801,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,39,United-States,<=50K -38,Private,177154,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -40,Federal-gov,73883,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -52,Private,175714,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -22,Private,43535,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -32,State-gov,104509,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -27,Private,118230,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,152046,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,Guatemala,<=50K -36,Private,52327,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,40,Iran,>50K -22,Private,218886,12th,8,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,84119,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -37,Private,189674,Bachelors,13,Separated,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -22,Private,222993,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,54,United-States,<=50K -29,Private,47429,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -42,Private,144995,Preschool,1,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,25,United-States,<=50K -45,Private,187969,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K -33,Private,288398,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -39,Private,114591,Some-college,10,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,167737,12th,8,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -53,Local-gov,248834,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -30,Private,165686,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Self-emp-not-inc,40200,Some-college,10,Widowed,Craft-repair,Not-in-family,Black,Male,0,0,35,United-States,<=50K -43,Self-emp-inc,117158,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K -47,Local-gov,216657,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,>50K -61,Private,124242,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,India,<=50K -39,Local-gov,239119,Masters,14,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,Dominican-Republic,<=50K -47,Private,190072,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K -19,Private,378114,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K -37,Private,236990,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3464,0,40,United-States,<=50K -31,Private,101761,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,51,United-States,<=50K -69,Self-emp-not-inc,37745,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,8,United-States,<=50K -22,?,424494,Some-college,10,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -29,Private,130438,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,100605,Some-college,10,Never-married,Machine-op-inspct,Own-child,Other,Male,0,0,14,United-States,<=50K -42,Private,220776,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,40,Poland,<=50K -30,Local-gov,154950,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,>50K -28,Private,192283,Masters,14,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,80,United-States,>50K -27,Private,210765,Assoc-voc,11,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,147476,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -35,State-gov,193241,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1651,40,United-States,<=50K -22,Private,109053,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,265618,HS-grad,9,Separated,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K -38,Local-gov,172855,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,1887,40,United-States,>50K -27,Private,68848,Bachelors,13,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -30,Private,229051,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,37,United-States,<=50K -27,Private,106039,Bachelors,13,Divorced,Prof-specialty,Own-child,White,Female,0,0,50,United-States,<=50K -25,Private,112835,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,?,205396,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,4,United-States,<=50K -32,Private,283400,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -70,Private,195739,10th,6,Widowed,Craft-repair,Unmarried,White,Male,0,0,45,United-States,<=50K -50,Private,36480,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,303291,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K -34,Private,293900,11th,7,Married-spouse-absent,Craft-repair,Not-in-family,Black,Male,0,0,55,United-States,<=50K -57,Self-emp-not-inc,165922,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -39,Private,65738,Masters,14,Never-married,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K -49,Private,175070,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,339814,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,40,United-States,>50K -26,Private,150132,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -31,Private,377374,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,Japan,<=50K -60,Self-emp-not-inc,166153,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,110171,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -26,Private,94477,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,55,United-States,>50K -27,Private,194243,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -31,Private,106347,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -59,Private,214865,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -19,?,185619,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -18,Private,96445,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -22,Private,102632,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -24,Private,209034,Assoc-acdm,12,Married-civ-spouse,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -53,State-gov,153486,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -43,Private,144371,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,42,United-States,>50K -24,Private,186213,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -60,Private,188236,10th,6,Widowed,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,418405,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Federal-gov,125796,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -32,Private,183304,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,>50K -34,Private,329587,10th,6,Separated,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -35,Local-gov,182570,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -38,Private,446654,9th,5,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K -34,Self-emp-not-inc,254304,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,4508,0,90,United-States,<=50K -53,Local-gov,131258,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -23,Private,103632,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,241895,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,244945,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,20795,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -17,Private,347322,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -53,Local-gov,103995,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,1876,54,United-States,<=50K -32,Private,53206,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K -43,?,387839,HS-grad,9,Never-married,?,Other-relative,White,Female,0,0,40,United-States,<=50K -18,Private,57108,11th,7,Never-married,Sales,Own-child,White,Male,0,0,16,United-States,<=50K -62,Private,177791,10th,6,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -45,Private,33794,Masters,14,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,249935,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,<=50K -73,Self-emp-not-inc,241121,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -64,Private,98586,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -26,Private,181920,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -23,Private,434467,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K -30,Private,113364,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Vietnam,<=50K -51,Private,249706,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Self-emp-not-inc,95455,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,<=50K -39,Private,209867,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,13550,0,45,United-States,>50K -35,Self-emp-inc,79586,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -41,Private,289669,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,347166,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,4650,0,40,United-States,<=50K -40,Private,53835,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -46,Local-gov,14878,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -31,Private,266126,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -41,Self-emp-inc,146659,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Honduras,<=50K -42,Private,125280,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3137,0,40,United-States,<=50K -23,Private,173535,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -21,?,77665,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K -49,Private,280525,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -53,Private,479621,Assoc-voc,11,Divorced,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K -38,Local-gov,194630,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,4787,0,43,United-States,>50K -36,Private,247600,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,Taiwan,<=50K -32,Private,258406,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,72,Mexico,<=50K -20,Private,107746,11th,7,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,Guatemala,<=50K -17,?,47407,11th,7,Never-married,?,Own-child,White,Male,0,0,10,United-States,<=50K -22,Private,229987,Some-college,10,Never-married,Tech-support,Other-relative,Asian-Pac-Islander,Female,0,0,32,United-States,<=50K -25,Private,312338,Assoc-voc,11,Never-married,Craft-repair,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -58,Private,225394,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,<=50K -24,Private,373718,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,20,United-States,<=50K -48,State-gov,120131,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,8614,0,40,United-States,>50K -20,Private,472789,1st-4th,2,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,30,El-Salvador,<=50K -60,Self-emp-not-inc,27886,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -20,Private,138352,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K -52,Private,123011,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -36,Private,306567,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,40,United-States,>50K -46,Local-gov,187749,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -22,Private,260594,11th,7,Never-married,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K -19,Private,236879,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,35,United-States,<=50K -37,Private,186808,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K -30,Private,373213,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,>50K -44,Private,187629,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,25,United-States,<=50K -63,?,106648,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K -22,Private,305781,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,45,Canada,<=50K -31,Self-emp-inc,256362,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,3908,0,50,United-States,<=50K -17,Private,239947,11th,7,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,349041,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -67,Private,105252,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -46,Private,182715,7th-8th,4,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,166210,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K -20,Private,113200,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,6,United-States,<=50K -27,Private,142075,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K -35,Private,454843,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -19,Private,142219,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -36,Private,112512,12th,8,Separated,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -43,Private,212894,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -62,State-gov,265201,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,251905,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,2339,40,Canada,<=50K -18,Private,170627,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -59,Private,354037,Prof-school,15,Married-civ-spouse,Transport-moving,Husband,Black,Male,15024,0,50,United-States,>50K -37,Private,259089,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,21856,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -46,Local-gov,207946,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,43,United-States,<=50K -29,Private,77009,11th,7,Separated,Sales,Not-in-family,White,Female,0,2754,42,United-States,<=50K -33,Private,36539,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -62,Private,176811,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,456062,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,55,United-States,>50K -28,Private,277746,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,288132,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -46,Federal-gov,344415,Masters,14,Married-civ-spouse,Armed-Forces,Husband,White,Male,0,1887,40,United-States,>50K -54,Self-emp-inc,206964,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K -34,Private,198091,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,United-States,<=50K -67,?,150264,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,20,Canada,>50K -62,Private,588484,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,>50K -30,Private,113364,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Poland,<=50K -19,Private,270551,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -49,?,31478,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,99,United-States,<=50K -27,Private,190525,Assoc-voc,11,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,45,United-States,<=50K -36,Private,153066,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -52,Private,150393,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -47,Private,99911,12th,8,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -57,Local-gov,343447,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -64,Private,169482,Some-college,10,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -56,?,32855,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,194501,11th,7,Widowed,Other-service,Own-child,White,Female,0,0,47,United-States,<=50K -53,Private,177705,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K -31,Private,123983,Some-college,10,Separated,Sales,Unmarried,Asian-Pac-Islander,Male,0,0,40,South,<=50K -41,Private,138975,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,45,United-States,>50K -45,Local-gov,235431,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -63,?,83043,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,2179,45,United-States,<=50K -45,State-gov,130206,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -23,Private,210053,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K -39,Local-gov,249392,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,72,United-States,<=50K -31,Private,87418,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-not-inc,190387,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -54,Private,176240,Masters,14,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,60,United-States,>50K -22,?,211013,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,Mexico,<=50K -40,Local-gov,105862,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,5455,0,40,United-States,<=50K -55,Self-emp-not-inc,185195,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Private,173495,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -58,Self-emp-inc,78634,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -31,Private,147284,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,99,United-States,>50K -46,Self-emp-not-inc,82572,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -38,Private,154641,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Local-gov,39236,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,594,0,25,United-States,<=50K -17,?,64785,10th,6,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -48,Self-emp-not-inc,179337,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,England,<=50K -73,Private,173047,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,United-States,<=50K -25,Private,264012,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -53,Federal-gov,227836,Some-college,10,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,321327,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,45,United-States,>50K -45,Self-emp-inc,108100,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,99999,0,25,?,>50K -37,Private,146398,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -30,Private,324120,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -29,Private,367329,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -29,State-gov,301582,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -75,?,222789,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,0,6,United-States,<=50K -58,Private,170108,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -42,Self-emp-not-inc,82297,7th-8th,4,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,50,United-States,<=50K -62,Local-gov,180162,9th,5,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,24,United-States,<=50K -45,Local-gov,348172,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,7298,0,40,United-States,>50K -38,Private,809585,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -36,Self-emp-not-inc,67728,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -70,?,163057,HS-grad,9,Widowed,?,Not-in-family,White,Female,2009,0,40,United-States,<=50K -42,Self-emp-not-inc,102069,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -47,Local-gov,149700,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,35,United-States,>50K -42,Self-emp-not-inc,109273,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -43,Private,393354,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,38,United-States,>50K -37,Private,226947,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -36,State-gov,86805,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,7298,0,39,United-States,>50K -27,Private,493689,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Female,0,0,40,France,<=50K -54,Private,299324,5th-6th,3,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Male,0,0,40,Mexico,<=50K -48,Self-emp-not-inc,353012,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K -29,Private,174419,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -29,Private,209472,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,<=50K -37,Private,295127,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,47,United-States,<=50K -55,Self-emp-inc,182273,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -67,Private,228200,HS-grad,9,Married-civ-spouse,Priv-house-serv,Wife,Black,Female,0,0,20,United-States,<=50K -51,Private,263836,HS-grad,9,Widowed,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -35,Private,178948,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K -41,Private,43945,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K -64,Self-emp-not-inc,253296,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -23,Private,240137,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,55,Mexico,<=50K -49,Private,24712,Bachelors,13,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Philippines,<=50K -38,Self-emp-not-inc,342635,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,<=50K -62,Private,115387,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Female,0,0,40,United-States,<=50K -62,Self-emp-not-inc,182998,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,10,United-States,<=50K -70,?,133248,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,14,United-States,<=50K -45,Self-emp-not-inc,246891,Masters,14,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,30035,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -38,Private,175232,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -50,Self-emp-inc,140516,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,64980,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,55,United-States,>50K -30,Private,155781,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K -52,Federal-gov,192065,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Self-emp-not-inc,227890,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,50,United-States,>50K -62,Self-emp-not-inc,162249,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -31,Private,165949,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Private,445382,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -34,Private,211948,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,1590,40,United-States,<=50K -53,Private,163678,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -42,Private,89413,12th,8,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,289700,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K -51,Private,163826,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -49,Private,185385,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -43,Private,169031,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,54611,Some-college,10,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,130620,11th,7,Married-spouse-absent,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,India,<=50K -26,Private,328663,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Other,Male,0,0,40,United-States,<=50K -50,Private,169646,Bachelors,13,Separated,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -35,Private,186815,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,103925,Some-college,10,Never-married,Tech-support,Other-relative,White,Female,0,0,40,United-States,<=50K -53,?,150393,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,1504,35,United-States,<=50K -20,Private,82777,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,16,United-States,<=50K -31,Local-gov,178449,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -28,Private,51672,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -46,Private,380162,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,>50K -21,Private,212114,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,8,United-States,<=50K -41,Self-emp-not-inc,100800,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,70,United-States,>50K -30,Private,162572,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,>50K -66,Self-emp-inc,179951,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -37,Self-emp-inc,190759,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -74,State-gov,236012,7th-8th,4,Widowed,Handlers-cleaners,Not-in-family,White,Female,0,0,20,United-States,<=50K -46,State-gov,164023,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,70,United-States,>50K -51,Private,172046,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -33,Private,182926,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -30,Private,151001,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3464,0,40,Mexico,<=50K -47,Self-emp-inc,362835,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -49,Private,97883,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -53,Private,91911,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Female,0,0,48,United-States,<=50K -24,Private,278130,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,146310,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,379412,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,37987,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -46,Self-emp-inc,256909,HS-grad,9,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,3325,0,45,United-States,<=50K -37,State-gov,482927,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,65,United-States,<=50K -48,State-gov,44434,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,61,United-States,>50K -25,Private,255474,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,?,303674,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,3103,0,20,United-States,<=50K -44,?,195488,12th,8,Separated,?,Not-in-family,White,Female,0,0,36,Puerto-Rico,<=50K -58,?,114362,Some-college,10,Married-civ-spouse,?,Husband,Black,Male,0,0,30,United-States,<=50K -27,Private,341504,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -69,Private,197080,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Male,0,0,8,United-States,<=50K -38,Private,102945,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K -47,Private,503454,12th,8,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K -30,Self-emp-not-inc,87561,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -46,Private,270693,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,3674,0,30,United-States,<=50K -27,Private,252813,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -19,Private,574271,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -18,Private,184016,HS-grad,9,Married-civ-spouse,Priv-house-serv,Not-in-family,White,Female,3103,0,40,United-States,<=50K -24,Private,235071,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -32,Private,158242,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,299810,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -19,Private,277695,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,36,Hong,<=50K -28,Private,23324,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Local-gov,316582,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K -38,Self-emp-not-inc,176657,Some-college,10,Separated,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,60,Japan,<=50K -42,Private,93770,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,>50K -31,Private,124569,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -46,Private,117313,9th,5,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Ireland,<=50K -53,Private,53812,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,54,United-States,<=50K -21,Private,170456,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -48,Self-emp-not-inc,115971,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,31432,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,3103,0,52,United-States,>50K -30,Private,112383,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -24,Private,283092,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,40,Jamaica,<=50K -32,Private,27207,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -30,Private,46712,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,State-gov,19520,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -56,Private,98630,7th-8th,4,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,159897,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,37,United-States,<=50K -38,Private,136629,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Iran,<=50K -19,Private,407759,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -61,Self-emp-not-inc,221884,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -49,Private,148475,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,274964,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K -50,Self-emp-inc,160107,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -43,Private,167265,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,84,United-States,>50K -34,Private,148226,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,48,United-States,<=50K -28,Private,153869,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,208881,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,256953,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,44,United-States,<=50K -26,Private,100147,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K -51,Local-gov,166461,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,>50K -35,Private,171327,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,297335,Assoc-acdm,12,Married-spouse-absent,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,31,Laos,<=50K -63,?,133166,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,12,United-States,<=50K -31,Private,169589,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -22,Local-gov,273734,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K -67,Private,158301,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -50,?,257117,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K -63,Private,196725,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K -31,Private,137444,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -17,Private,286960,11th,7,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -41,Local-gov,201435,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -53,Local-gov,216931,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,United-States,<=50K -44,Local-gov,212665,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,99,United-States,<=50K -24,Private,462820,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,198841,Assoc-voc,11,Divorced,Tech-support,Own-child,White,Male,0,0,35,United-States,<=50K -61,Private,219886,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -31,Private,163003,Assoc-acdm,12,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -44,Private,112262,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,5178,0,40,United-States,>50K -56,Private,213105,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,36,United-States,>50K -66,Private,302072,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,338105,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -69,Self-emp-not-inc,58213,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,45,United-States,>50K -64,Private,125684,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,215419,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,36,United-States,>50K -43,Local-gov,413760,Some-college,10,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -37,Private,205339,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,49,United-States,<=50K -19,Private,236570,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K -59,Self-emp-not-inc,247552,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -50,Federal-gov,184007,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,341187,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -56,Private,220187,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -28,Private,198258,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,175821,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,34,United-States,<=50K -42,Private,92288,Masters,14,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -34,Private,261418,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,203319,11th,7,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -68,Self-emp-not-inc,166083,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,109001,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -81,?,106765,Some-college,10,Widowed,?,Unmarried,White,Female,0,0,4,United-States,<=50K -22,Self-emp-not-inc,197387,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -58,Private,284834,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,87535,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,25,United-States,<=50K -17,Local-gov,175587,11th,7,Never-married,Protective-serv,Own-child,White,Male,0,0,30,United-States,<=50K -25,Private,242700,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,10520,0,50,United-States,>50K -23,Private,161478,Some-college,10,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,23,United-States,<=50K -25,Private,51498,12th,8,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -47,Private,220124,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,188503,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,60,United-States,>50K -44,Private,113324,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,208872,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -38,Self-emp-not-inc,34180,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -23,Private,292023,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,United-States,<=50K -34,Private,141118,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -33,Private,348592,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -38,Private,185203,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -52,Self-emp-not-inc,165278,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,116933,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,33,United-States,<=50K -38,Private,237608,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,2444,45,United-States,>50K -35,Private,84787,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -67,Self-emp-not-inc,217892,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,10605,0,35,United-States,>50K -60,Private,325971,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7688,0,40,United-States,>50K -44,Private,206878,HS-grad,9,Never-married,Sales,Other-relative,White,Female,0,0,15,United-States,<=50K -38,Self-emp-not-inc,127772,HS-grad,9,Divorced,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K -29,Private,208577,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -65,Private,344152,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,5556,0,50,United-States,>50K -33,Private,40681,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,?,95108,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,280603,11th,7,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -43,Private,188436,Prof-school,15,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,134220,Assoc-voc,11,Divorced,Exec-managerial,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -42,Private,177989,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,164190,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,United-States,<=50K -36,Private,90897,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,State-gov,33126,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -30,Private,270886,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -21,Private,216129,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -33,Private,189368,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K -19,?,141418,Some-college,10,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K -19,Private,306225,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -35,Private,330664,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,191765,HS-grad,9,Divorced,Tech-support,Unmarried,Black,Female,0,0,35,United-States,<=50K -45,Private,289353,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,24,United-States,<=50K -25,Private,53147,Bachelors,13,Never-married,Exec-managerial,Own-child,Black,Male,0,0,50,United-States,<=50K -39,Self-emp-not-inc,122353,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,188767,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Private,239576,Masters,14,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,10,United-States,<=50K -52,Local-gov,155141,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -22,Private,64520,12th,8,Never-married,Transport-moving,Unmarried,White,Male,0,0,30,United-States,<=50K -23,Private,478994,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,155654,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -34,Self-emp-not-inc,124052,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K -39,Private,245053,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -38,Private,183585,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,Self-emp-not-inc,323639,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K -55,Federal-gov,186791,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,284303,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,40,United-States,>50K -23,Private,186666,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,200153,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,180931,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,30,United-States,<=50K -51,Self-emp-not-inc,183173,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -47,Self-emp-inc,120131,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Cuba,>50K -25,Self-emp-not-inc,263300,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -34,Private,226443,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -18,Private,404868,11th,7,Never-married,Sales,Own-child,Black,Female,0,1602,20,United-States,<=50K -19,Private,208506,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,28,United-States,<=50K -32,Private,46746,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -49,Private,246183,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -40,?,165309,7th-8th,4,Separated,?,Not-in-family,White,Female,0,0,8,United-States,<=50K -43,Private,122749,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -71,Self-emp-inc,38822,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K -59,Private,167963,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -32,Private,273241,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -25,Private,120238,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,167990,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Ireland,<=50K -17,Private,225507,11th,7,Never-married,Handlers-cleaners,Not-in-family,Black,Female,0,0,15,United-States,<=50K -57,Self-emp-inc,125000,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -17,Self-emp-not-inc,174120,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -27,Private,230959,Bachelors,13,Never-married,Tech-support,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -41,Local-gov,132125,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -62,?,68461,Doctorate,16,Married-civ-spouse,?,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K -19,Private,227178,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -41,Private,165798,5th-6th,3,Divorced,Other-service,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K -39,Private,129573,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -30,Private,224377,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,179481,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -18,Private,434268,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -40,Self-emp-not-inc,173716,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -38,Self-emp-inc,244803,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1485,60,Cuba,>50K -24,Private,114230,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -33,Private,188661,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -48,Private,216093,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,124963,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -48,Private,85341,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,193490,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -34,Private,80058,Prof-school,15,Never-married,Exec-managerial,Own-child,White,Male,0,0,50,United-States,<=50K -41,Private,139907,Assoc-voc,11,Separated,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -51,Self-emp-inc,54342,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,27828,0,60,United-States,>50K -25,Private,188767,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,117222,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K -61,Self-emp-inc,171831,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,2829,0,45,United-States,<=50K -35,Private,187119,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,70,United-States,<=50K -42,Local-gov,97277,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Local-gov,219760,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,16,United-States,<=50K -46,Private,63299,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -39,State-gov,171482,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -18,?,344742,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,210869,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,80,United-States,<=50K -39,Private,38312,Some-college,10,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,0,40,United-States,>50K -47,Private,119939,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -40,Private,83953,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -43,State-gov,101383,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -32,Private,204374,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,176831,10th,6,Divorced,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -19,?,60688,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K -44,Federal-gov,251305,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -46,Local-gov,200947,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -53,Self-emp-not-inc,46704,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -43,Private,119721,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -41,State-gov,58930,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,247750,HS-grad,9,Widowed,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K -48,Private,67725,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -28,State-gov,200775,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -44,Private,183542,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K -20,?,25139,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -51,Local-gov,123325,Prof-school,15,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,269786,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,50,United-States,<=50K -36,Private,51089,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -28,Private,136985,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -21,Private,129350,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -34,?,35595,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -36,Local-gov,61299,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,?,192321,Assoc-acdm,12,Never-married,?,Own-child,White,Female,0,0,80,United-States,<=50K -31,Private,257644,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,43,United-States,<=50K -44,Self-emp-not-inc,70884,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -49,Local-gov,159726,11th,7,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -40,Private,174395,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -64,Federal-gov,175534,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,>50K -54,Local-gov,173050,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -27,Private,32519,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,55,South,<=50K -18,Private,322999,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -68,Private,148874,9th,5,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,44,United-States,<=50K -64,Private,43738,Doctorate,16,Widowed,Prof-specialty,Not-in-family,White,Male,0,0,80,United-States,>50K -36,Private,195385,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -21,Private,149809,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,24,United-States,<=50K -22,Private,51985,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K -61,Private,105384,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,137591,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,10,Greece,<=50K -49,State-gov,324791,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -25,Private,184303,Some-college,10,Separated,Priv-house-serv,Other-relative,White,Female,0,0,30,El-Salvador,<=50K -66,?,314347,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K -29,Private,274010,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -22,Private,321031,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K -57,Federal-gov,313929,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -41,Private,394669,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1741,40,United-States,<=50K -29,Private,152951,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -20,Private,247115,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K -47,Private,175958,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -22,Private,109039,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -59,Self-emp-inc,141326,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K -42,State-gov,74334,Masters,14,Married-civ-spouse,Adm-clerical,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K -64,Self-emp-not-inc,47462,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -29,Federal-gov,182344,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K -25,State-gov,295912,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,20,United-States,<=50K -62,Private,311495,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,236746,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,10520,0,45,United-States,>50K -21,Private,187643,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -60,Private,282923,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -46,Private,501671,10th,6,Divorced,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K -44,Federal-gov,29591,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Male,0,2258,40,United-States,>50K -21,Private,301556,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,19,United-States,<=50K -18,Private,187240,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,18,United-States,<=50K -39,Private,219483,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,5013,0,32,United-States,<=50K -33,Private,594187,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -63,Private,200474,1st-4th,2,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Local-gov,152795,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,>50K -17,Private,230789,9th,5,Never-married,Sales,Own-child,Black,Male,0,0,22,United-States,<=50K -45,Self-emp-inc,311231,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1485,50,United-States,>50K -31,Private,114691,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,194591,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,114691,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -51,State-gov,42017,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Local-gov,383384,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -28,Private,29444,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -42,Federal-gov,53727,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,?,<=50K -38,Private,277022,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,Columbia,<=50K -43,Local-gov,113324,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -30,Private,342709,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,179203,12th,8,Never-married,Sales,Other-relative,White,Male,0,0,55,United-States,<=50K -46,Private,251474,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -50,Private,93730,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -22,Private,37894,HS-grad,9,Separated,Other-service,Other-relative,White,Male,0,0,35,United-States,<=50K -18,State-gov,272918,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,15,United-States,<=50K -53,Private,151411,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -40,Private,210648,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K -36,Self-emp-not-inc,347491,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -32,Private,255885,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,>50K -39,Private,356838,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,12,United-States,<=50K -46,Private,216164,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -26,Local-gov,288781,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,42,United-States,<=50K -19,Private,439779,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -24,Private,161638,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Ecuador,<=50K -28,Private,190525,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -25,Local-gov,276249,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -44,Private,147265,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Private,245090,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Nicaragua,<=50K -42,State-gov,219682,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -28,Private,392100,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,358682,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Male,0,0,50,?,<=50K -47,Private,262244,Bachelors,13,Never-married,Sales,Not-in-family,Black,Male,0,0,60,United-States,>50K -46,Private,171228,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3411,0,35,Guatemala,<=50K -21,Local-gov,218445,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K -19,?,182609,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,25,United-States,<=50K -35,Private,509462,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -26,Private,213258,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,118401,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -67,Self-emp-not-inc,45814,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,329733,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,>50K -26,Private,29957,Masters,14,Never-married,Tech-support,Other-relative,White,Male,0,0,25,United-States,<=50K -51,Private,215854,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -27,Private,327766,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -27,Private,405765,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,>50K -39,Private,80680,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -32,Private,177792,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,48,United-States,>50K -52,Private,273514,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,202373,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -27,Local-gov,332785,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,38,United-States,<=50K -46,Private,149640,7th-8th,4,Married-spouse-absent,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -42,Private,40151,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -79,Self-emp-inc,183686,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,>50K -50,Federal-gov,32801,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,>50K -19,?,195282,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,20,United-States,<=50K -43,Federal-gov,134026,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,2174,0,40,United-States,<=50K -51,Local-gov,96678,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -45,Private,174533,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,50,United-States,>50K -65,Private,180807,HS-grad,9,Separated,Protective-serv,Not-in-family,White,Male,991,0,20,United-States,<=50K -66,Private,186324,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,5,United-States,>50K -36,Self-emp-not-inc,257250,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K -26,Private,212800,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Female,0,0,36,United-States,<=50K -28,Private,55360,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,50,United-States,<=50K -39,Self-emp-not-inc,195253,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -43,Private,45156,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -20,Private,435469,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,Mexico,<=50K -29,Private,231287,Some-college,10,Divorced,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K -32,Private,168854,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1848,50,United-States,>50K -44,Self-emp-not-inc,185057,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,3325,0,40,United-States,<=50K -18,?,91670,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -60,Private,165517,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,73161,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -60,Private,178792,HS-grad,9,Widowed,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,32897,11th,7,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,250967,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,41901,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,1408,40,United-States,<=50K -49,Private,379779,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Private,217838,5th-6th,3,Separated,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -37,Self-emp-not-inc,137527,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,2559,60,United-States,>50K -43,Private,198965,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,38,United-States,>50K -41,Private,70645,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,4650,0,55,United-States,<=50K -37,Private,220644,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,?,<=50K -19,Private,175081,9th,5,Never-married,Craft-repair,Other-relative,White,Male,0,0,60,United-States,<=50K -29,Private,180299,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K -40,Self-emp-not-inc,548664,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,15,United-States,<=50K -53,Private,278114,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -27,Private,394927,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -44,Self-emp-not-inc,127482,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,England,>50K -29,Private,236938,Assoc-acdm,12,Divorced,Craft-repair,Unmarried,White,Female,0,0,38,United-States,<=50K -25,Private,232991,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Mexico,<=50K -38,Private,34378,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -48,Self-emp-inc,81513,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -18,Private,106780,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -50,Private,178596,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,1408,50,United-States,<=50K -37,Private,329026,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -48,Private,26490,Bachelors,13,Widowed,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -50,Private,338033,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K -74,?,169303,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,6767,0,6,United-States,<=50K -24,Private,21154,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -34,Private,209449,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,>50K -19,Private,389143,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,101260,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,198270,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,45781,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,134566,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,?,283806,9th,5,Divorced,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -68,?,286869,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,1668,40,?,<=50K -46,Private,422813,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -24,Local-gov,103277,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,50,United-States,<=50K -18,Private,201871,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -50,Self-emp-not-inc,167728,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -42,Private,211517,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,118212,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,259846,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,3471,0,40,United-States,<=50K -57,Private,98926,Some-college,10,Widowed,Tech-support,Not-in-family,White,Female,0,0,16,United-States,<=50K -27,Private,207352,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -31,Private,206609,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -34,Local-gov,104509,Masters,14,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -55,Self-emp-not-inc,170350,HS-grad,9,Divorced,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -56,Private,183884,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -36,State-gov,110964,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1672,38,United-States,<=50K -35,State-gov,154410,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -63,?,257659,Masters,14,Never-married,?,Not-in-family,White,Female,0,0,3,United-States,<=50K -28,Private,274679,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -38,Private,252662,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Self-emp-inc,356689,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K -18,Private,205218,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -35,Private,241306,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -53,Private,139127,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,175625,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,206459,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,176123,10th,6,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,60,India,<=50K -41,Private,111483,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -60,Self-emp-not-inc,106118,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K -18,Private,77845,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,1602,15,United-States,<=50K -19,Private,162094,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,216469,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1579,50,United-States,<=50K -56,Local-gov,381965,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -28,Private,145284,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K -29,Private,242482,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K -35,Self-emp-not-inc,160192,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -27,?,280699,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K -55,Private,175942,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,55,?,>50K -18,Private,156950,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K -53,Private,215572,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,173593,Masters,14,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,20,Canada,<=50K -55,Private,193374,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -45,Local-gov,334039,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Private,337664,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,113504,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -27,Private,177072,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,174503,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,214807,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,37,United-States,<=50K -41,Private,222596,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K -23,Private,100345,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -22,Private,409230,12th,8,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,112497,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,25236,0,40,United-States,>50K -65,Self-emp-inc,115922,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -59,?,375049,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,41,United-States,>50K -25,Private,243560,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,Columbia,<=50K -33,Local-gov,182971,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,40,United-States,>50K -31,Private,127215,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -50,State-gov,276241,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -49,State-gov,175109,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -43,Private,498079,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Federal-gov,344394,Some-college,10,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -34,Private,99872,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,3103,0,40,India,>50K -23,Private,245302,Some-college,10,Divorced,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K -63,Private,43313,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,188467,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Self-emp-inc,351278,Bachelors,13,Divorced,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K -31,Private,182246,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -32,Private,79870,Some-college,10,Married-civ-spouse,Exec-managerial,Own-child,White,Female,2597,0,40,Japan,<=50K -48,?,353824,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,?,>50K -31,Private,387116,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,36,Jamaica,<=50K -47,Private,34248,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -54,State-gov,198741,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -23,Private,32950,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,381153,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -46,Private,100067,11th,7,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,35,United-States,>50K -34,Private,208785,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -31,Private,61559,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K -41,Private,176452,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,Peru,<=50K -41,?,128700,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -27,Self-emp-not-inc,328518,Assoc-voc,11,Never-married,Prof-specialty,Other-relative,White,Male,0,0,30,United-States,<=50K -30,?,201196,11th,7,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K -23,Private,378546,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -24,Local-gov,212210,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,?,<=50K -59,Federal-gov,178660,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,235826,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -35,Self-emp-not-inc,22641,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -59,Private,316027,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,Cuba,<=50K -47,Private,431515,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -51,Self-emp-not-inc,149770,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,44,United-States,<=50K -42,Private,165916,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -29,Federal-gov,107411,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,217961,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,45,Outlying-US(Guam-USVI-etc),<=50K -43,Self-emp-not-inc,350387,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -46,Private,325372,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,156718,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,216472,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,20,United-States,<=50K -29,State-gov,106972,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -33,Private,131934,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -33,Local-gov,365908,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,2105,0,40,United-States,<=50K -46,Local-gov,359193,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -35,Private,261012,Some-college,10,Married-spouse-absent,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -36,Private,272944,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K -25,Private,113654,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,37,United-States,<=50K -35,Private,218955,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,115963,7th-8th,4,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,42,United-States,<=50K -39,Private,80638,Some-college,10,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,84,United-States,>50K -37,Private,147258,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -22,Private,214635,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,42,United-States,<=50K -25,Private,200318,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -50,Private,138270,HS-grad,9,Married-civ-spouse,Sales,Wife,Black,Female,0,0,40,United-States,<=50K -64,Federal-gov,388594,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,?,>50K -33,Private,103435,Assoc-voc,11,Separated,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -59,Self-emp-inc,133201,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Italy,<=50K -24,Private,175183,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,99870,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -38,?,107479,9th,5,Never-married,?,Own-child,White,Female,0,0,12,United-States,<=50K -60,Private,113440,Bachelors,13,Divorced,Exec-managerial,Own-child,White,Male,0,0,60,United-States,<=50K -19,Private,85690,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,30,United-States,<=50K -23,Private,45713,Some-college,10,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -57,Self-emp-inc,376230,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,99999,0,40,United-States,>50K -36,Private,145576,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1977,40,Japan,>50K -17,?,67808,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,113936,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,158291,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -27,Private,193898,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -43,Private,191982,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,55,United-States,<=50K -21,?,72953,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -54,Private,271160,Assoc-voc,11,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,33087,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -29,Private,106153,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -22,Private,29444,12th,8,Never-married,Farming-fishing,Not-in-family,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K -37,Private,105021,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -38,Self-emp-not-inc,239045,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -34,Private,94413,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,20534,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,84,United-States,>50K -28,Private,350254,1st-4th,2,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,Mexico,<=50K -68,Private,194746,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,Cuba,<=50K -36,Private,269042,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K -20,Private,447488,9th,5,Never-married,Other-service,Unmarried,White,Male,0,0,30,Mexico,<=50K -24,Private,267706,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,45,United-States,<=50K -38,Private,198216,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,227931,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,252646,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K -47,Private,223342,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,2174,0,40,England,<=50K -28,Private,181776,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K -32,Private,132601,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -58,Private,205410,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -64,Self-emp-inc,185912,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,35,United-States,>50K -38,Private,292570,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,50,United-States,<=50K -43,Private,76460,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,295163,12th,8,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,27255,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,?,<=50K -23,Private,69847,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K -25,Private,104993,9th,5,Never-married,Handlers-cleaners,Own-child,Black,Male,2907,0,40,United-States,<=50K -41,Private,322980,HS-grad,9,Separated,Adm-clerical,Not-in-family,Black,Male,2354,0,40,United-States,<=50K -24,?,390608,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,36,United-States,<=50K -41,Private,317539,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -27,Private,195678,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,466502,7th-8th,4,Widowed,Other-service,Unmarried,White,Male,0,0,30,United-States,<=50K -28,Local-gov,220754,HS-grad,9,Separated,Transport-moving,Own-child,White,Female,0,0,25,United-States,<=50K -29,Private,202878,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2042,40,United-States,<=50K -36,Private,343476,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -41,Self-emp-inc,93227,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,1977,60,Taiwan,>50K -60,Self-emp-not-inc,38622,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -34,State-gov,173730,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,<=50K -32,Private,178623,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,?,<=50K -27,Private,300783,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,42,United-States,>50K -60,Private,224644,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,191502,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,61885,12th,8,Divorced,Transport-moving,Other-relative,Black,Male,0,0,35,United-States,<=50K -34,Self-emp-not-inc,213887,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,32,Canada,>50K -36,Private,331395,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,145098,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -48,Private,123075,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -19,Private,216804,7th-8th,4,Never-married,Other-service,Own-child,White,Male,0,0,33,United-States,<=50K -40,Private,188291,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -25,Private,33610,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K -39,Private,234901,Assoc-acdm,12,Separated,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,349148,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,168443,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -43,Private,211860,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,24,United-States,<=50K -35,Private,193961,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -36,Local-gov,52532,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,50,United-States,>50K -59,Self-emp-not-inc,75804,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,>50K -33,Self-emp-not-inc,176185,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,306779,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K -48,Private,265192,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -54,Private,139347,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,107682,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -37,Private,34173,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,128378,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -51,Self-emp-inc,195638,Some-college,10,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,59287,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Self-emp-not-inc,162442,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -29,?,350603,10th,6,Never-married,?,Own-child,White,Female,0,0,38,United-States,<=50K -39,Private,344743,Some-college,10,Married-civ-spouse,Adm-clerical,Own-child,Black,Female,0,0,50,United-States,>50K -35,Private,112077,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,5013,0,40,United-States,<=50K -26,Private,176795,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,>50K -51,Private,137815,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K -31,Private,309620,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,6,South,<=50K -39,Private,336880,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -26,Private,206600,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,30,Mexico,<=50K -25,Private,193051,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,35,United-States,<=50K -61,Federal-gov,229062,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1887,40,United-States,>50K -49,Private,62793,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -53,Private,264939,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Mexico,<=50K -52,Private,370552,Preschool,1,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,El-Salvador,<=50K -52,Private,163678,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -74,?,89667,Bachelors,13,Widowed,?,Not-in-family,Other,Female,0,0,35,United-States,<=50K -50,Private,558490,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -29,Private,124680,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,13550,0,35,United-States,>50K -76,Private,208843,7th-8th,4,Widowed,Protective-serv,Not-in-family,White,Male,0,0,30,United-States,<=50K -19,Private,95078,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -25,Private,169679,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,101320,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,168906,Assoc-acdm,12,Divorced,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -20,Private,212582,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -66,?,170617,Masters,14,Widowed,?,Not-in-family,White,Male,0,0,6,United-States,<=50K -63,?,170529,Bachelors,13,Married-civ-spouse,?,Wife,Black,Female,0,0,45,United-States,<=50K -27,Private,99897,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,104892,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,2829,0,40,United-States,<=50K -43,Private,175224,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,Nicaragua,<=50K -23,Private,149704,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -37,Federal-gov,214542,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Private,167319,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -33,State-gov,43716,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,4,United-States,<=50K -28,Private,191935,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -70,?,158642,HS-grad,9,Widowed,?,Not-in-family,White,Female,2993,0,20,United-States,<=50K -35,Private,338611,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,136419,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,75,United-States,>50K -17,Private,72321,11th,7,Never-married,Other-service,Other-relative,White,Female,0,0,12,United-States,<=50K -41,Local-gov,189956,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,>50K -44,Private,403782,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -47,Private,456661,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -24,Private,279041,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,65716,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,189809,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,52,Jamaica,<=50K -62,Local-gov,223637,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K -27,Local-gov,199343,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K -59,Private,139344,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -35,Private,119098,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,195025,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,32,United-States,<=50K -28,Private,186720,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,50,United-States,<=50K -28,Private,328923,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,38,United-States,<=50K -59,State-gov,159472,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,138662,Some-college,10,Separated,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -54,Local-gov,286342,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,>50K -39,Private,181705,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -41,Private,193882,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,216497,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,Germany,<=50K -32,Self-emp-inc,124919,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,50,Iran,>50K -62,Private,109463,Some-college,10,Separated,Sales,Unmarried,White,Female,0,1617,33,United-States,<=50K -58,Private,256274,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,326379,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -67,?,174995,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,2457,40,United-States,<=50K -31,Private,243142,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Local-gov,155118,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,70,United-States,>50K -54,Private,189607,Bachelors,13,Never-married,Other-service,Own-child,Black,Female,0,0,36,United-States,<=50K -20,Private,39478,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,70,United-States,<=50K -35,Private,206951,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -22,Private,127647,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,36,United-States,<=50K -38,Private,234298,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,6849,0,60,United-States,<=50K -42,Private,182302,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -44,State-gov,166597,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -28,Self-emp-not-inc,33363,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,>50K -74,Self-emp-inc,167537,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -34,Private,179378,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,<=50K -50,State-gov,297551,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,52,United-States,<=50K -50,Private,198362,Assoc-voc,11,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -43,Private,240504,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -29,Self-emp-not-inc,169662,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,?,164940,HS-grad,9,Separated,?,Unmarried,Black,Female,0,0,25,United-States,<=50K -61,Private,210488,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -21,Private,154835,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -27,Private,333296,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,30,?,<=50K -47,Private,192793,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Iran,>50K -39,Private,49436,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,1380,40,United-States,<=50K -33,Private,136331,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,509048,HS-grad,9,Never-married,Sales,Other-relative,Black,Female,0,0,37,United-States,<=50K -38,Private,318610,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -45,Private,104521,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,247695,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -35,Private,219546,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,Germany,<=50K -21,Private,169699,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -49,State-gov,131302,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,44,United-States,<=50K -50,Private,171852,Bachelors,13,Separated,Prof-specialty,Own-child,Other,Female,0,0,40,United-States,<=50K -36,State-gov,340091,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,>50K -20,Private,204641,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -49,Private,213431,HS-grad,9,Separated,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -40,State-gov,377018,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -22,Private,184543,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -60,?,188236,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -67,Private,233022,11th,7,Widowed,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -21,Private,177420,Some-college,10,Never-married,Adm-clerical,Not-in-family,Other,Female,0,0,40,United-States,<=50K -60,Self-emp-not-inc,21101,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K -17,Private,52486,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -43,Private,183273,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,32,United-States,>50K -49,State-gov,36177,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -41,Private,124956,Bachelors,13,Separated,Prof-specialty,Not-in-family,Black,Female,99999,0,60,United-States,>50K -38,Private,102350,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -38,Private,165930,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,297574,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,99,United-States,>50K -40,Private,120277,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,?,87569,Some-college,10,Separated,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,?,278220,Some-college,10,Never-married,?,Own-child,White,Female,0,1602,40,United-States,<=50K -40,Private,155972,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -46,State-gov,162852,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,64860,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,22,United-States,<=50K -36,Private,226013,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,5178,0,40,United-States,>50K -24,Private,322674,Assoc-acdm,12,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,48,United-States,<=50K -62,Private,202242,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -54,Private,175262,Preschool,1,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -23,Private,201682,Bachelors,13,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -60,Private,166330,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -18,Self-emp-inc,147612,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Female,0,0,8,United-States,<=50K -41,Local-gov,213154,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K -45,Local-gov,33798,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,State-gov,199198,Assoc-voc,11,Widowed,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -28,Private,90915,Bachelors,13,Married-spouse-absent,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,Self-emp-inc,337778,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Yugoslavia,>50K -31,Private,187203,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -44,Private,261497,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,?,<=50K -33,Self-emp-not-inc,361817,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -62,Self-emp-not-inc,226546,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,16,United-States,<=50K -27,Private,100168,7th-8th,4,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -42,Federal-gov,272625,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,>50K -55,Private,254516,9th,5,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,37,United-States,<=50K -41,Private,207375,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -26,Private,39092,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,4064,0,50,United-States,<=50K -45,Private,48271,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -67,Self-emp-not-inc,152102,HS-grad,9,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,65,United-States,<=50K -25,Private,234665,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -30,Self-emp-inc,127651,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,48,United-States,>50K -22,Private,180060,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -19,Private,32477,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -26,Private,137658,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -61,Private,228287,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,159442,Prof-school,15,Never-married,Sales,Not-in-family,White,Female,13550,0,50,United-States,>50K -43,Private,33310,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Private,270546,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,20,United-States,<=50K -53,Federal-gov,290290,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -42,Self-emp-inc,287037,12th,8,Divorced,Craft-repair,Not-in-family,White,Male,0,0,10,United-States,<=50K -36,Private,128516,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -55,Self-emp-not-inc,185195,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,99,United-States,<=50K -35,Federal-gov,49657,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -17,Private,98005,11th,7,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K -55,Self-emp-not-inc,283635,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -36,Private,98360,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -40,Local-gov,202872,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -54,Self-emp-not-inc,118365,10th,6,Divorced,Other-service,Not-in-family,Black,Female,0,0,10,United-States,<=50K -45,Self-emp-not-inc,184285,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -48,Private,345831,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -40,Local-gov,99679,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K -31,Private,253354,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,190650,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K -34,Private,287737,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1485,40,United-States,>50K -19,Private,204389,HS-grad,9,Never-married,Adm-clerical,Own-child,Other,Female,0,0,25,Puerto-Rico,<=50K -31,Federal-gov,294870,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,159442,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -55,Local-gov,161662,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -38,Private,52738,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,252024,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,20,Mexico,<=50K -27,Private,189702,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,407913,HS-grad,9,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -20,Private,166527,Some-college,10,Never-married,Adm-clerical,Own-child,Other,Female,0,0,20,United-States,<=50K -24,Self-emp-not-inc,34918,Assoc-voc,11,Never-married,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K -27,Private,142712,Masters,14,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,?,<=50K -18,Federal-gov,201686,11th,7,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,4,United-States,<=50K -28,Local-gov,179759,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,94954,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K -66,Private,350498,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1258,20,United-States,<=50K -19,Private,201743,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -59,Self-emp-not-inc,119344,10th,6,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,36,United-States,<=50K -33,Private,149726,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,46,United-States,<=50K -28,Private,419146,7th-8th,4,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K -34,Private,174789,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,2001,40,United-States,<=50K -41,Private,171234,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,55,United-States,<=50K -30,Private,206325,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -59,Private,202682,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,121055,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -47,Private,160187,HS-grad,9,Separated,Prof-specialty,Other-relative,Black,Female,14084,0,38,United-States,>50K -29,Private,84366,10th,6,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K -60,Private,139391,Some-college,10,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,>50K -53,Local-gov,124094,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,35,United-States,<=50K -41,Private,30759,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -32,Private,137875,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -73,?,139049,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,22,United-States,>50K -20,Private,238384,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -49,Private,340755,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -36,Local-gov,224947,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -33,State-gov,111994,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -25,Private,125491,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,34,United-States,<=50K -34,?,310525,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,10,United-States,<=50K -19,?,71592,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -40,Local-gov,99185,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,249935,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,<=50K -51,Private,206775,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -22,Private,230704,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,20,Jamaica,<=50K -34,Private,242361,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,50,United-States,<=50K -22,Private,134746,10th,6,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -34,Self-emp-inc,198613,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2002,40,United-States,<=50K -56,Private,174040,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,165953,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1902,40,United-States,<=50K -36,Private,273604,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,Private,192409,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -26,Self-emp-not-inc,102476,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -48,Private,234504,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -35,Self-emp-not-inc,468713,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,84560,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,148995,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -21,Private,34816,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,12,United-States,<=50K -28,Private,211184,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -53,Private,33304,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -65,Federal-gov,179985,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,219815,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Private,134766,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -26,Private,106548,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -70,Private,89787,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -55,Private,164857,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -27,Federal-gov,257124,Bachelors,13,Never-married,Transport-moving,Other-relative,White,Male,0,0,35,United-States,<=50K -31,Private,227446,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Cuba,>50K -43,Private,125461,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,55,United-States,>50K -24,Private,189749,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,176321,7th-8th,4,Never-married,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -26,Private,284250,HS-grad,9,Never-married,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,101885,10th,6,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Self-emp-not-inc,134130,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -52,Private,260938,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,238184,HS-grad,9,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,40,United-States,<=50K -59,Self-emp-not-inc,148626,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -56,Self-emp-not-inc,48102,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1977,50,United-States,>50K -58,Private,234213,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,14344,0,48,United-States,>50K -65,Private,113323,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -24,Local-gov,34246,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -51,Private,175070,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,5178,0,45,United-States,>50K -31,Private,279680,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -84,Private,188328,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,16,United-States,<=50K -51,Private,96609,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Local-gov,84257,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -30,Private,275632,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -22,Private,385540,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Mexico,<=50K -30,Private,196342,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Ireland,<=50K -47,Private,97176,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,197714,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -43,Self-emp-not-inc,147099,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,36,United-States,<=50K -30,Private,186346,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -46,Private,73434,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -49,Local-gov,275074,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -37,Private,209214,5th-6th,3,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,Mexico,<=50K -42,Private,210525,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Private,372020,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5013,0,50,United-States,<=50K -46,Private,176684,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,210474,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -26,Private,293690,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,58,United-States,>50K -64,Private,149775,Masters,14,Never-married,Prof-specialty,Other-relative,White,Female,0,0,8,United-States,<=50K -20,Private,323009,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,Germany,<=50K -31,Private,126950,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,172538,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,40,United-States,>50K -44,Private,115411,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Self-emp-not-inc,101709,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,2885,0,40,United-States,<=50K -23,Private,265356,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -31,Local-gov,192565,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,90,United-States,>50K -35,Self-emp-not-inc,348771,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K -30,Self-emp-not-inc,148959,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K -35,Private,126569,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K -40,Private,105936,HS-grad,9,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K -18,Private,188076,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -23,Private,184400,10th,6,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,30,?,<=50K -63,Private,124242,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -20,State-gov,200819,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -50,Local-gov,100480,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -49,Private,129513,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -53,Self-emp-not-inc,297796,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,195488,HS-grad,9,Separated,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -54,Private,153486,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,56,United-States,>50K -40,Private,126845,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -22,Private,206974,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,412149,10th,6,Never-married,Farming-fishing,Other-relative,White,Male,0,0,35,Mexico,<=50K -24,Private,653574,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,El-Salvador,<=50K -37,Private,70562,1st-4th,2,Never-married,Other-service,Unmarried,White,Female,0,0,48,El-Salvador,<=50K -62,Private,197514,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,16,United-States,<=50K -19,?,309284,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,334679,Assoc-voc,11,Widowed,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -65,Private,105116,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,2346,0,40,United-States,<=50K -31,Private,151484,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,8,United-States,<=50K -42,Self-emp-inc,78765,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,90,United-States,>50K -42,Private,98427,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,35,United-States,<=50K -54,Private,230767,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Cuba,<=50K -23,Private,117606,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,60,United-States,<=50K -28,Private,68642,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,46,United-States,<=50K -42,Private,341638,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,65920,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -33,Federal-gov,188246,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,198727,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,160728,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,2977,0,40,United-States,<=50K -27,Private,706026,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -20,?,348148,11th,7,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -62,Private,77884,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -17,Private,160758,10th,6,Never-married,Sales,Other-relative,White,Male,0,0,30,United-States,<=50K -58,Private,201112,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,55,United-States,>50K -69,Self-emp-inc,107850,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,6514,0,40,United-States,>50K -34,Private,230246,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K -34,Private,203034,Bachelors,13,Separated,Sales,Not-in-family,White,Male,0,2824,50,United-States,>50K -20,Private,373935,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -64,Federal-gov,341695,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -27,Private,119793,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,?,<=50K -41,Private,178002,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -40,Private,233130,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,El-Salvador,<=50K -53,Local-gov,192982,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,>50K -44,Private,33155,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -37,Private,187346,5th-6th,3,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,Mexico,<=50K -46,Private,78529,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,>50K -17,Private,101626,9th,5,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,20,United-States,<=50K -35,Private,117567,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Local-gov,110791,Assoc-acdm,12,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -49,State-gov,207120,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -48,Private,43206,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,0,0,25,United-States,<=50K -26,Private,120238,Bachelors,13,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -26,Private,189219,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K -35,State-gov,190895,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,83517,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,35557,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,50,United-States,>50K -36,Local-gov,59313,Some-college,10,Separated,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -25,Private,202033,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -18,Local-gov,55658,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -21,Private,118186,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K -22,Private,279901,HS-grad,9,Married-civ-spouse,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -52,Private,110954,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,El-Salvador,>50K -36,Self-emp-not-inc,90159,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -25,Private,122489,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,1726,60,United-States,<=50K -49,Self-emp-not-inc,43348,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,99999,0,70,United-States,>50K -42,Private,34278,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -37,Private,37778,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,54,United-States,<=50K -39,Private,160623,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,342458,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,64322,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,373914,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,205884,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K -62,Local-gov,208266,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -38,Private,222450,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -23,Private,348420,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,136081,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2051,40,United-States,<=50K -37,Federal-gov,197284,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -27,?,204773,Assoc-acdm,12,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -41,Private,206066,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,61885,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -25,Private,299908,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,>50K -35,Private,46028,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K -47,Private,239865,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,45,United-States,>50K -30,Private,154587,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K -29,Private,244473,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,2051,40,United-States,<=50K -36,Private,32334,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -42,Private,319588,Bachelors,13,Married-spouse-absent,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -51,Private,226735,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -34,Private,226443,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -44,Self-emp-inc,359259,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,Portugal,<=50K -27,Private,36851,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,41,United-States,<=50K -39,Private,393480,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -46,Private,33109,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,1741,40,United-States,<=50K -32,Self-emp-not-inc,188246,HS-grad,9,Divorced,Sales,Own-child,White,Male,0,1590,62,United-States,<=50K -31,Private,231569,Bachelors,13,Never-married,Sales,Not-in-family,Black,Female,0,0,50,United-States,<=50K -23,Private,353010,11th,7,Never-married,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K -47,Private,102628,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K -66,Private,262285,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,99,United-States,<=50K -26,Private,160300,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -52,Private,156953,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -53,Self-emp-inc,136823,11th,7,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K -48,Self-emp-not-inc,160724,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K -37,Self-emp-inc,86459,Assoc-acdm,12,Separated,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K -17,Private,238628,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,5,United-States,<=50K -50,Private,339954,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,?,222005,HS-grad,9,Never-married,?,Other-relative,White,Female,0,0,40,Mexico,<=50K -17,Federal-gov,99893,11th,7,Never-married,Adm-clerical,Not-in-family,Black,Female,0,1602,40,United-States,<=50K -39,Private,214117,Some-college,10,Divorced,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -28,Federal-gov,298661,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K -38,Private,179488,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -53,Private,48343,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,40,United-States,>50K -28,Local-gov,100270,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,227065,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,32,United-States,>50K -40,Private,126701,9th,5,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -20,Private,209131,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -32,State-gov,400132,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -23,State-gov,278155,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,139012,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,2174,0,40,Vietnam,<=50K -41,Private,178431,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K -42,Private,511068,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -18,Private,199039,12th,8,Never-married,Sales,Own-child,White,Male,594,0,14,United-States,<=50K -29,Local-gov,190525,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,60,Germany,>50K -36,Private,115700,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -34,Private,167832,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,218164,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,44,United-States,<=50K -48,State-gov,171926,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -36,Self-emp-inc,242080,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,>50K -67,Federal-gov,223257,HS-grad,9,Widowed,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -53,Private,386773,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K -53,Self-emp-not-inc,105478,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,40,United-States,>50K -45,Private,140644,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K -22,Private,205970,10th,6,Separated,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -25,Private,216583,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,<=50K -61,Private,162432,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Local-gov,83671,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -47,Self-emp-inc,205100,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,Germany,<=50K -31,Private,195750,1st-4th,2,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -17,Private,220562,9th,5,Never-married,Sales,Other-relative,Other,Female,0,0,32,Mexico,<=50K -38,Self-emp-inc,312232,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -23,Private,386337,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,?,<=50K -42,Private,86185,Some-college,10,Widowed,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -78,Private,105586,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,36,United-States,<=50K -54,Private,103345,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -26,Local-gov,150553,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,50,United-States,<=50K -30,Private,26009,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -46,Private,149388,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Private,151626,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,45,United-States,<=50K -30,Private,169583,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -66,Local-gov,174486,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Black,Male,20051,0,35,Jamaica,>50K -23,Private,160951,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,2597,0,40,United-States,<=50K -25,Private,213383,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -32,Self-emp-inc,103078,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -25,Local-gov,109526,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K -51,Private,142835,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -24,State-gov,43475,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,190916,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -28,Private,175987,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Local-gov,214385,11th,7,Divorced,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K -26,Private,192652,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -41,Federal-gov,207685,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -19,Private,143857,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -39,Private,163392,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,26,?,<=50K -51,Private,310774,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -29,?,427965,HS-grad,9,Separated,?,Unmarried,Black,Female,0,0,20,United-States,<=50K -27,Private,279608,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -33,Private,312881,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -19,Private,175083,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K -67,?,132057,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,20,United-States,<=50K -41,Private,32878,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -29,Federal-gov,360527,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -28,Private,99478,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -25,Private,113035,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -21,Federal-gov,99199,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,36,United-States,<=50K -24,Local-gov,452640,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,14344,0,50,United-States,>50K -48,Private,236858,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,31,United-States,<=50K -46,Self-emp-inc,201865,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -35,Private,268661,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -35,Federal-gov,475324,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -50,Private,117295,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,65704,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,?,<=50K -45,Private,192835,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -62,Local-gov,76720,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -39,Local-gov,180686,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,45,United-States,>50K -33,Local-gov,133876,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -22,Private,123727,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,30,United-States,<=50K -50,Private,129956,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -25,Private,96268,11th,7,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,317320,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,86872,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -31,State-gov,100863,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,>50K -56,Private,164332,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,15,United-States,<=50K -49,Self-emp-not-inc,122584,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,34377,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -46,Private,162030,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,43,United-States,<=50K -33,Private,199170,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -25,Private,470203,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -40,Private,266803,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -72,?,188009,7th-8th,4,Divorced,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -32,State-gov,513416,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,10,United-States,<=50K -44,Private,98211,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -48,Private,196107,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -17,Private,108273,10th,6,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K -50,Private,213290,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,36,United-States,>50K -61,Private,96660,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,15024,0,34,United-States,>50K -22,Local-gov,412316,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -17,Private,120068,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,17,United-States,<=50K -49,Self-emp-inc,101722,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -26,Private,120268,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -19,State-gov,144429,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K -17,Private,271122,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -38,Private,255621,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -34,Local-gov,90934,Assoc-voc,11,Divorced,Protective-serv,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -51,Private,162745,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,United-States,>50K -48,Private,128460,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K -63,Private,30813,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -19,Private,164585,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -73,Private,148003,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,20051,0,36,United-States,>50K -51,Private,215647,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,43,United-States,<=50K -38,Private,300975,Masters,14,Married-civ-spouse,Other-service,Husband,Black,Male,0,1485,40,?,<=50K -54,Private,421561,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -41,Private,149909,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,40,United-States,>50K -65,?,240857,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,2377,40,United-States,>50K -36,Self-emp-not-inc,138940,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,50,United-States,>50K -42,Private,66755,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,<=50K -38,Private,103323,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -20,?,117222,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -37,State-gov,29145,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -35,State-gov,184659,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,40,United-States,>50K -51,Self-emp-not-inc,20795,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,311376,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,State-gov,122660,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -19,?,137578,Some-college,10,Never-married,?,Own-child,White,Male,0,0,16,United-States,<=50K -37,Private,193689,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,>50K -29,Private,144556,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -33,Private,228696,1st-4th,2,Married-civ-spouse,Craft-repair,Not-in-family,White,Male,0,2603,32,Mexico,<=50K -60,Private,184183,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,4650,0,40,United-States,<=50K -22,Private,243178,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -22,?,236330,Some-college,10,Never-married,?,Own-child,Black,Male,0,1721,20,United-States,<=50K -60,State-gov,190682,Assoc-voc,11,Widowed,Other-service,Not-in-family,Black,Female,0,0,37,United-States,<=50K -35,Private,233786,11th,7,Separated,Other-service,Unmarried,White,Male,0,0,20,United-States,<=50K -45,Private,102202,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,95299,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,>50K -43,Self-emp-inc,240504,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -32,State-gov,169973,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -35,Private,144937,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K -32,Private,211751,Assoc-voc,11,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -61,Private,84587,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -40,State-gov,150874,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,1506,0,40,United-States,<=50K -20,?,187332,10th,6,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -42,Self-emp-inc,188615,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -21,Private,119704,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -21,Private,275190,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -26,Private,417941,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,State-gov,196348,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -24,Private,221955,Bachelors,13,Married-civ-spouse,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -47,Private,173938,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,57,United-States,>50K -51,Private,123429,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Male,0,0,30,United-States,<=50K -65,?,143732,HS-grad,9,Widowed,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -61,Private,203126,Bachelors,13,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,12,?,<=50K -67,Private,174693,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,25,Nicaragua,<=50K -49,Private,357540,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K -63,?,29859,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,1485,40,United-States,>50K -58,Private,314092,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,48,United-States,>50K -61,Private,280088,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,257380,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,35,United-States,<=50K -19,Private,165306,Some-college,10,Never-married,Tech-support,Other-relative,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -29,Self-emp-not-inc,109001,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -43,Private,266439,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K -60,Self-emp-not-inc,153356,HS-grad,9,Divorced,Sales,Not-in-family,Black,Male,2597,0,55,United-States,<=50K -21,Private,32950,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K -22,Private,182163,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,188246,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -36,Private,297335,Bachelors,13,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,50,China,<=50K -37,Private,108366,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,46,United-States,<=50K -35,Private,328301,Assoc-acdm,12,Married-AF-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -17,Private,182158,10th,6,Never-married,Priv-house-serv,Own-child,White,Male,0,0,30,United-States,<=50K -37,Private,169426,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -22,?,330571,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,45,United-States,<=50K -28,Private,535978,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Private,29393,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Self-emp-inc,258883,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,60,Hungary,>50K -26,Private,369166,Some-college,10,Never-married,Farming-fishing,Other-relative,White,Female,0,0,65,United-States,<=50K -45,Local-gov,257855,11th,7,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,50,United-States,<=50K -32,Private,164197,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K -63,Private,109517,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,43,United-States,<=50K -22,Private,112137,Some-college,10,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,0,20,South,<=50K -36,Private,160035,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -45,State-gov,50567,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -34,Self-emp-not-inc,140011,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -27,State-gov,271328,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -20,?,183083,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -47,Self-emp-not-inc,159869,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,56,United-States,>50K -46,Private,102542,7th-8th,4,Never-married,Other-service,Own-child,White,Male,0,0,52,United-States,<=50K -28,Private,297742,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -45,Private,176917,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -26,Private,165235,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Thailand,<=50K -32,Self-emp-not-inc,52647,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -30,Local-gov,48542,12th,8,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -59,Private,279232,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -58,State-gov,259929,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,>50K -45,Private,221780,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -76,Self-emp-not-inc,253408,Some-college,10,Widowed,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,298841,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -32,Private,321313,Masters,14,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,64875,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K -30,Private,275232,Assoc-acdm,12,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,36,United-States,<=50K -53,Self-emp-inc,134854,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Greece,>50K -41,Private,67339,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,<=50K -27,State-gov,192355,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -44,Local-gov,208528,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -35,Private,160120,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K -36,Private,250238,1st-4th,2,Never-married,Other-service,Other-relative,Other,Female,0,0,40,El-Salvador,<=50K -51,Private,25031,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,10,United-States,>50K -42,Local-gov,255847,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,26892,Bachelors,13,Married-AF-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K -45,Private,111979,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,408537,9th,5,Divorced,Craft-repair,Unmarried,White,Female,99999,0,37,United-States,>50K -36,Private,231037,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -57,Federal-gov,30030,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -27,Private,292120,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,45,United-States,<=50K -62,Private,138253,Masters,14,Never-married,Handlers-cleaners,Not-in-family,White,Male,4650,0,40,United-States,<=50K -29,Private,190777,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -38,Self-emp-not-inc,41591,Bachelors,13,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K -29,Private,186733,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -18,?,78567,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -19,?,140590,12th,8,Never-married,?,Own-child,Black,Male,0,0,30,United-States,<=50K -32,Local-gov,230912,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,4865,0,40,United-States,<=50K -34,Private,176185,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1741,40,United-States,<=50K -25,Private,182227,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K -34,Local-gov,205704,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -37,State-gov,24342,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,<=50K -37,Private,138192,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -18,Private,334676,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -24,Private,177526,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -17,Private,152696,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -35,Private,114765,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,265509,Assoc-voc,11,Separated,Tech-support,Unmarried,Black,Female,0,0,32,United-States,<=50K -29,Private,180758,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -49,Self-emp-not-inc,127921,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -71,?,177906,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,>50K -35,Federal-gov,182898,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,422249,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,222450,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -33,Local-gov,190027,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,18,United-States,<=50K -49,Private,281647,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -32,Private,117963,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -63,?,319121,11th,7,Separated,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K -39,Private,225504,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Local-gov,104334,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,El-Salvador,<=50K -30,State-gov,48214,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -30,Private,145714,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Self-emp-inc,38240,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -57,Self-emp-not-inc,27385,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,10,United-States,<=50K -56,Private,204254,10th,6,Divorced,Other-service,Unmarried,Black,Female,0,0,45,United-States,<=50K -28,Private,411587,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,Honduras,<=50K -43,Private,221172,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,24,United-States,>50K -46,Private,54190,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -60,Private,93997,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -50,Local-gov,24139,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,65,United-States,<=50K -37,Private,112497,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -41,Private,138907,HS-grad,9,Divorced,Priv-house-serv,Other-relative,Black,Female,0,0,40,United-States,<=50K -38,Private,186325,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,38,United-States,>50K -23,Private,199452,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -59,Private,126677,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -72,Private,107814,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,2329,0,60,United-States,<=50K -47,Local-gov,93618,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,33,United-States,<=50K -29,Private,353352,Assoc-voc,11,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -35,Private,143058,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -24,Private,239663,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,15,United-States,<=50K -22,Private,167615,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,442274,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,149210,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,45,United-States,>50K -55,Federal-gov,174533,Bachelors,13,Separated,Other-service,Unmarried,White,Female,0,0,72,?,<=50K -40,State-gov,50093,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,20,United-States,<=50K -61,Private,270056,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Japan,<=50K -58,Self-emp-not-inc,131991,Bachelors,13,Never-married,Farming-fishing,Own-child,White,Male,0,0,72,United-States,<=50K -39,State-gov,126336,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,341117,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -25,Private,108505,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K -69,?,106566,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K -36,Private,74791,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Male,0,0,60,?,<=50K -34,Private,24266,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -45,Private,267967,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -27,?,181284,12th,8,Married-civ-spouse,?,Husband,Black,Male,0,0,45,United-States,<=50K -28,Private,102533,Some-college,10,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -27,Private,69757,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -41,State-gov,210094,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -18,State-gov,389147,HS-grad,9,Never-married,Sales,Not-in-family,Black,Female,0,0,30,United-States,<=50K -44,Private,210648,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -47,Private,94809,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K -36,Local-gov,298717,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -66,Private,236879,Preschool,1,Widowed,Priv-house-serv,Other-relative,White,Female,0,0,40,Guatemala,<=50K -33,Private,170148,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -39,Local-gov,166497,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,>50K -30,Private,247156,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -34,Self-emp-not-inc,204052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -62,Self-emp-not-inc,122246,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K -21,Private,180339,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -50,Self-emp-inc,155574,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K -30,Private,114912,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,60,United-States,>50K -43,Private,193882,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -19,Private,112269,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -26,Federal-gov,171928,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,50,Japan,<=50K -50,Private,95435,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1579,65,Canada,<=50K -45,Federal-gov,179638,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -46,Self-emp-inc,125892,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -17,Private,721712,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K -56,Private,197369,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -25,Private,353795,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,3103,0,40,United-States,>50K -47,Private,334679,Masters,14,Separated,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Female,0,0,42,India,<=50K -23,Private,235853,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -51,Self-emp-not-inc,353281,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -19,Private,203061,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,25,United-States,<=50K -33,Self-emp-not-inc,62932,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,118551,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,80,United-States,<=50K -52,Private,99184,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,189674,Some-college,10,Separated,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K -34,Private,226883,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,?,109564,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -26,Self-emp-inc,66872,12th,8,Married-civ-spouse,Sales,Husband,Other,Male,0,0,98,Dominican-Republic,<=50K -35,Local-gov,268292,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -58,Federal-gov,139290,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -32,Private,206541,11th,7,Divorced,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -23,Private,203139,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -28,Self-emp-not-inc,294398,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -20,Private,386864,10th,6,Never-married,Other-service,Other-relative,White,Male,0,0,35,Mexico,<=50K -17,Private,369909,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -56,Private,89922,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,45,United-States,>50K -26,Private,176008,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -43,State-gov,241506,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,1506,0,36,United-States,<=50K -45,Self-emp-not-inc,174426,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -34,Private,167497,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,50,United-States,>50K -54,Private,292673,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,Mexico,<=50K -51,Local-gov,134808,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -58,Self-emp-not-inc,95763,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -49,Private,83622,Assoc-acdm,12,Separated,Adm-clerical,Not-in-family,White,Female,2597,0,40,United-States,<=50K -21,Private,222490,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -44,Private,29115,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,66638,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -39,Private,53926,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -19,?,43739,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,104359,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,124604,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,32,United-States,<=50K -45,Private,114797,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -60,Federal-gov,67320,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -28,Federal-gov,53147,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K -23,Private,13769,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K -44,Private,202872,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -19,State-gov,149528,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,12,United-States,<=50K -37,Private,132879,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -41,Self-emp-not-inc,112362,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,38,United-States,<=50K -56,Federal-gov,156229,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -44,Private,131650,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,54,United-States,>50K -30,Private,154568,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,36,Vietnam,>50K -23,Private,132300,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,124747,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,3103,0,40,United-States,>50K -38,Private,276559,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,70,United-States,>50K -32,Private,106014,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5178,0,50,United-States,>50K -57,Self-emp-not-inc,135134,Masters,14,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,20,United-States,<=50K -35,Private,86648,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -48,Self-emp-not-inc,107231,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K -32,Local-gov,113838,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,99,United-States,<=50K -76,Federal-gov,25319,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,15,United-States,<=50K -57,Local-gov,190561,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,Black,Female,0,0,30,United-States,<=50K -58,?,150031,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,48343,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K -50,Private,211116,10th,6,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -38,Private,226311,HS-grad,9,Married-AF-spouse,Other-service,Wife,White,Female,0,0,25,United-States,<=50K -53,Private,283743,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2002,40,United-States,<=50K -59,Self-emp-not-inc,64102,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -23,Private,234663,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,247880,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,8614,0,40,United-States,>50K -23,Private,615367,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,163090,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -44,Private,192225,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -30,Private,370183,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,242482,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,169953,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Local-gov,144182,Preschool,1,Never-married,Adm-clerical,Own-child,Black,Female,0,0,25,United-States,<=50K -38,Private,125933,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,27828,0,45,United-States,>50K -26,Private,203777,Some-college,10,Never-married,Sales,Not-in-family,Black,Female,0,0,37,United-States,<=50K -39,Private,210991,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,472580,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K -33,State-gov,200289,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,19,India,<=50K -43,Private,289669,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,2547,40,United-States,>50K -30,Private,110622,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,China,<=50K -59,State-gov,139616,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -26,Private,39212,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -28,Private,51961,Some-college,10,Never-married,Tech-support,Own-child,Black,Male,0,0,24,United-States,<=50K -48,Self-emp-not-inc,117849,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,50748,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,1506,0,35,United-States,<=50K -41,Self-emp-not-inc,170214,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,2179,40,United-States,<=50K -20,Private,151790,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K -49,Private,168211,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -37,State-gov,117651,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,<=50K -18,Private,157131,12th,8,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K -61,Private,225970,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -26,Private,177951,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,<=50K -66,Private,134130,Bachelors,13,Widowed,Other-service,Not-in-family,White,Male,0,0,12,United-States,<=50K -68,Private,191581,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,3273,0,40,United-States,<=50K -27,Local-gov,199172,HS-grad,9,Married-civ-spouse,Protective-serv,Wife,White,Female,0,0,40,United-States,<=50K -66,Self-emp-not-inc,262552,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,7,United-States,<=50K -28,Private,66434,10th,6,Never-married,Other-service,Unmarried,White,Female,0,0,15,United-States,<=50K -26,Private,77661,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,?,230856,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -46,Private,192835,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K -62,?,181014,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,200445,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,1974,40,United-States,<=50K -26,Self-emp-not-inc,37918,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K -40,Private,111020,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,244665,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,Honduras,<=50K -52,Private,312477,HS-grad,9,Widowed,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,Self-emp-not-inc,243493,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,12,United-States,<=50K -39,State-gov,152023,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,104193,HS-grad,9,Never-married,Other-service,Own-child,White,Female,114,0,40,United-States,<=50K -47,Private,170850,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,<=50K -33,Private,137088,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Ecuador,<=50K -17,Private,340557,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -26,Private,298225,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,114150,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,194668,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,16,United-States,<=50K -33,Private,188246,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,45,United-States,>50K -46,Federal-gov,330901,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K -27,Private,80165,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -48,Private,83444,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K -29,Self-emp-not-inc,85572,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,5,United-States,<=50K -40,Private,116632,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,139989,Bachelors,13,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K -55,Private,135803,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Other,Male,0,1579,35,India,<=50K -56,Private,75785,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -25,Private,248612,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -36,Private,28572,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -26,Self-emp-not-inc,31143,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -37,Private,216924,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,44,United-States,>50K -36,Private,549174,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -23,Self-emp-not-inc,111296,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,50,Mexico,<=50K -25,Private,208881,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -36,State-gov,243666,HS-grad,9,Divorced,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -37,Self-emp-not-inc,327164,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,?,<=50K -39,Self-emp-inc,131288,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,5178,0,48,United-States,>50K -35,Private,257416,Assoc-voc,11,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -33,Private,215288,11th,7,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -31,Private,58582,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,46,United-States,<=50K -49,Private,199378,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,22,United-States,<=50K -34,Self-emp-not-inc,114185,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,?,<=50K -40,Private,137421,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,60,Trinadad&Tobago,<=50K -27,Private,216481,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Self-emp-not-inc,196504,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,23,United-States,<=50K -38,Private,357870,12th,8,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,50,United-States,<=50K -55,State-gov,256335,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,168191,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,70,Italy,<=50K -40,Private,215596,Bachelors,13,Married-spouse-absent,Other-service,Not-in-family,Other,Male,0,0,40,Mexico,<=50K -42,Private,184682,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,30,United-States,<=50K -51,Private,171914,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -27,Private,288229,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,50,Laos,<=50K -30,State-gov,144064,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -70,?,54849,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,>50K -40,Private,141583,10th,6,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -43,Self-emp-not-inc,180985,Bachelors,13,Separated,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K -24,Private,148709,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,?,174626,7th-8th,4,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,184801,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -52,Private,89054,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,147284,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -33,Private,169973,Assoc-voc,11,Separated,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,222993,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,41099,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -31,Private,33117,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Private,162551,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,Hong,>50K -49,Private,122066,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,2603,40,Greece,<=50K -61,?,42938,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,7,United-States,>50K -46,Private,389843,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Germany,>50K -37,Private,138940,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -56,Federal-gov,141877,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -37,Private,172722,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -26,Self-emp-not-inc,118523,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,227886,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K -36,Private,80743,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,40,South,<=50K -52,Private,199688,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -40,Private,225823,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -21,Private,176486,HS-grad,9,Married-spouse-absent,Exec-managerial,Other-relative,White,Female,0,0,60,United-States,<=50K -63,Private,175777,10th,6,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -30,Private,295010,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,437825,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,Peru,<=50K -50,Private,270194,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -41,Private,242089,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -39,Self-emp-inc,117555,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -23,Private,146499,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,48,United-States,<=50K -52,Private,222405,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,2377,40,United-States,<=50K -17,?,216595,11th,7,Never-married,?,Own-child,Black,Female,0,0,20,United-States,<=50K -46,Private,157991,Assoc-voc,11,Divorced,Tech-support,Unmarried,Black,Female,0,625,40,United-States,<=50K -26,Private,373553,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,42,United-States,<=50K -30,Private,194827,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K -23,Private,60331,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -21,State-gov,96483,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,12,United-States,<=50K -39,Private,211154,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -37,Local-gov,247750,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,204235,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K -38,Private,197113,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,20,United-States,<=50K -47,Private,178341,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,4064,0,60,United-States,<=50K -20,Private,293297,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -35,Private,35330,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -62,State-gov,202056,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,14084,0,40,United-States,>50K -32,Private,61898,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,15,United-States,<=50K -42,Self-emp-inc,1097453,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -32,Private,176992,10th,6,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -27,Private,295289,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,30,United-States,<=50K -53,Self-emp-inc,298215,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -28,Self-emp-not-inc,209934,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,25,Mexico,<=50K -26,Private,164938,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,423222,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -23,Private,124259,Some-college,10,Never-married,Protective-serv,Own-child,Black,Female,0,0,40,United-States,<=50K -70,Self-emp-inc,232871,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K -41,State-gov,73199,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -43,State-gov,27661,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -65,Private,461715,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,25,?,<=50K -40,Self-emp-not-inc,89413,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,40,United-States,<=50K -64,Self-emp-not-inc,31826,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -40,Private,279679,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -43,Private,221172,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K -50,Federal-gov,222020,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,<=50K -19,?,181265,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -32,Self-emp-not-inc,261056,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,2174,0,60,?,<=50K -32,Private,204792,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,384508,11th,7,Divorced,Sales,Unmarried,White,Male,1506,0,50,Mexico,<=50K -41,Private,288568,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -30,Private,182714,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,England,<=50K -20,Private,471452,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -45,State-gov,264052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,146659,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K -24,Private,203027,Assoc-acdm,12,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,218309,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K -28,Private,133625,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -35,Private,45937,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,?,389850,HS-grad,9,Married-spouse-absent,?,Unmarried,Black,Male,0,0,50,United-States,<=50K -38,Federal-gov,201617,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Local-gov,114733,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K -50,State-gov,97778,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,149507,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -35,Private,82622,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,48014,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,France,<=50K -61,State-gov,162678,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,213842,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,38,United-States,<=50K -61,Private,221447,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -18,Private,426836,5th-6th,3,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -31,Local-gov,206609,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -31,Private,50276,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -20,Private,180497,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -35,Private,220585,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,202752,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -43,Private,75993,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -18,Private,170544,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -55,Private,115439,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K -59,Private,24384,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,209067,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,65225,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -60,Federal-gov,27466,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,England,<=50K -49,Federal-gov,179869,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -21,Private,442131,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -61,Private,243283,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -64,Private,316627,5th-6th,3,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -63,Private,208862,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Federal-gov,38645,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,141272,Bachelors,13,Never-married,Other-service,Own-child,Black,Female,0,0,30,United-States,<=50K -41,State-gov,29324,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -18,?,348588,12th,8,Never-married,?,Own-child,Black,Male,0,0,25,United-States,<=50K -40,Private,124747,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,7298,0,40,United-States,>50K -55,Self-emp-not-inc,477867,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -17,Private,218361,10th,6,Never-married,Other-service,Own-child,White,Female,0,1602,12,United-States,<=50K -34,Self-emp-not-inc,156809,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,1504,60,United-States,<=50K -24,Private,267945,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,35724,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -29,Private,187188,Masters,14,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,60,United-States,<=50K -52,Private,155983,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -57,Federal-gov,414994,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Private,103474,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,45,United-States,<=50K -43,Private,211128,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -61,Private,203445,Some-college,10,Widowed,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -38,Private,38312,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,65,United-States,>50K -51,Private,178241,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K -40,Private,260761,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K -41,Local-gov,36924,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -19,Private,292590,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -28,Private,461929,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -59,Private,189664,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -32,State-gov,190577,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -31,Private,344200,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -30,Private,337494,Assoc-acdm,12,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,48,United-States,<=50K -54,Self-emp-not-inc,52634,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,194901,Assoc-voc,11,Separated,Craft-repair,Not-in-family,White,Male,0,2444,42,United-States,>50K -20,Private,170091,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -27,?,189399,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Self-emp-not-inc,205072,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K -35,Private,310290,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,Black,Female,0,0,40,United-States,<=50K -27,Private,134048,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -40,Private,91959,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,46,United-States,>50K -34,Private,153942,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -34,Local-gov,234096,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -38,Private,185330,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,25,United-States,<=50K -28,Private,163772,HS-grad,9,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,United-States,<=50K -65,Private,83800,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,27,United-States,<=50K -61,Private,139391,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,16,United-States,<=50K -18,Private,478380,11th,7,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -35,Self-emp-inc,186845,Bachelors,13,Married-civ-spouse,Sales,Own-child,White,Male,5178,0,50,United-States,>50K -45,Private,262802,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -68,?,152157,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -25,Private,114483,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -48,Private,118023,Prof-school,15,Divorced,Sales,Not-in-family,White,Male,0,0,13,United-States,<=50K -19,Private,220101,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,219424,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,50,United-States,>50K -54,Private,186117,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -47,Self-emp-not-inc,479611,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -25,Private,80312,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,4865,0,40,United-States,<=50K -30,Private,108386,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -67,?,125926,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -35,Private,177102,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,190762,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,18,United-States,<=50K -61,Private,180632,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,88019,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,32,United-States,<=50K -50,Private,135339,12th,8,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,>50K -32,Private,100662,9th,5,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,Columbia,<=50K -34,Private,183557,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,25,United-States,<=50K -36,Private,160035,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,306790,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,Private,269246,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,308334,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,19,United-States,<=50K -58,Private,215190,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -27,Private,419146,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,75,Mexico,<=50K -62,Private,176839,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,<=50K -36,Self-emp-inc,184456,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,27828,0,55,United-States,>50K -21,Local-gov,309348,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,594,0,4,United-States,<=50K -41,Private,56795,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,England,<=50K -28,Private,201861,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -33,Private,179509,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,291755,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -19,Private,243941,Some-college,10,Never-married,Sales,Own-child,Amer-Indian-Eskimo,Female,0,1721,25,United-States,<=50K -76,Self-emp-not-inc,117169,7th-8th,4,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,30,United-States,<=50K -25,?,100903,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,25,United-States,<=50K -34,Private,159322,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -40,Private,262872,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,187052,11th,7,Never-married,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -17,Private,277583,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -55,Private,169071,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -51,Local-gov,96190,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -26,Private,61603,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,Other,Male,0,0,40,Mexico,<=50K -44,Private,43711,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K -65,?,197883,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,70,United-States,<=50K -54,Private,99434,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -34,Self-emp-not-inc,177639,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,201723,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -26,Private,222248,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,70,United-States,<=50K -39,Private,86143,5th-6th,3,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -46,?,228620,11th,7,Widowed,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,Private,346034,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,El-Salvador,<=50K -59,Private,87510,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,37932,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K -34,Private,185063,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -62,?,125493,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,5178,0,40,Scotland,>50K -51,Private,159755,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -34,Private,108837,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -47,Private,110669,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -21,?,220115,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -30,Self-emp-not-inc,45427,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,49,United-States,<=50K -38,Private,154669,HS-grad,9,Separated,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -45,Private,261278,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,5178,0,40,Philippines,>50K -23,Private,71864,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -34,Private,173495,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -22,Private,254293,12th,8,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,111883,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -50,Private,146429,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,472807,1st-4th,2,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,52,Mexico,<=50K -28,Private,285294,Bachelors,13,Married-civ-spouse,Sales,Wife,Black,Female,15024,0,45,United-States,>50K -23,Private,184665,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -35,Private,205852,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,83879,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -27,Private,178564,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -46,Self-emp-inc,168796,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -27,Private,269444,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,47353,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -34,Self-emp-inc,29254,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K -33,Private,155343,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -36,Private,234271,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,257849,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -23,Private,228230,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,47,United-States,<=50K -36,Private,227615,5th-6th,3,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,32,Mexico,<=50K -29,Private,406826,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -50,Self-emp-not-inc,27539,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,7688,0,40,United-States,>50K -19,Private,97261,12th,8,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,?,232022,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -52,Federal-gov,168539,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -20,Private,515797,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,351381,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,161018,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -60,Private,26721,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,164123,11th,7,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -59,Self-emp-not-inc,98418,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -36,Private,29814,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Male,0,0,50,United-States,<=50K -25,Private,254613,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,Cuba,<=50K -49,Private,207677,7th-8th,4,Divorced,Craft-repair,Not-in-family,White,Male,0,0,70,United-States,<=50K -25,Self-emp-not-inc,217030,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -50,Private,171199,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,198270,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,43,United-States,<=50K -28,?,131310,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,79923,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -40,Self-emp-inc,475322,Bachelors,13,Separated,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -56,Private,134286,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -56,Self-emp-not-inc,73746,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -23,Private,125525,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,42,United-States,<=50K -38,?,155676,HS-grad,9,Divorced,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -21,Private,304949,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K -67,Private,150516,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,24,United-States,<=50K -54,State-gov,249096,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -50,Local-gov,164127,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -59,Private,304779,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,157043,11th,7,Widowed,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K -30,Private,396538,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,29,United-States,<=50K -42,Private,510072,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -64,?,200017,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -61,?,60641,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,45,United-States,<=50K -26,Private,89326,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,200471,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,4064,0,40,United-States,<=50K -78,Self-emp-not-inc,82815,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,3,United-States,>50K -24,Self-emp-not-inc,117210,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -27,Private,202206,11th,7,Separated,Farming-fishing,Other-relative,White,Male,0,0,40,Puerto-Rico,<=50K -51,Private,123429,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -46,Private,353512,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -55,Self-emp-not-inc,26683,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -20,Private,204641,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,225053,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -36,?,98776,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -19,Private,263932,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -30,Private,108247,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -31,Self-emp-not-inc,369648,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K -26,Private,339324,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,96,United-States,<=50K -59,?,145574,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,>50K -53,Private,317313,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -24,Local-gov,162919,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,186314,Some-college,10,Separated,Prof-specialty,Own-child,White,Male,0,0,54,United-States,<=50K -36,Private,254202,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -39,Private,108140,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -53,Private,287317,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Male,0,0,32,United-States,<=50K -75,Self-emp-inc,81534,HS-grad,9,Widowed,Sales,Other-relative,Asian-Pac-Islander,Male,0,0,35,United-States,>50K -36,Private,35945,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -46,Self-emp-inc,204928,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -56,Self-emp-inc,208809,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -29,Private,133625,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -60,Private,71683,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,49,United-States,<=50K -58,Private,570562,HS-grad,9,Widowed,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K -67,Self-emp-not-inc,36876,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K -35,Private,253006,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,38,United-States,>50K -39,Self-emp-not-inc,50096,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -37,Private,336880,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -54,?,135840,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K -63,Self-emp-not-inc,168048,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -47,Private,187969,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -23,Private,117363,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -55,Private,256526,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,4865,0,45,United-States,<=50K -49,Private,304416,11th,7,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -39,Private,248011,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,40,United-States,>50K -23,Private,229826,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,159796,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -44,Private,165346,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -25,Private,25386,Assoc-voc,11,Never-married,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -35,Private,491000,Assoc-voc,11,Divorced,Prof-specialty,Own-child,Black,Male,0,0,40,United-States,<=50K -23,Local-gov,247731,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,Cuba,<=50K -48,Private,180532,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,189462,Some-college,10,Divorced,Handlers-cleaners,Own-child,White,Male,2176,0,40,United-States,<=50K -44,Private,419134,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -55,Self-emp-not-inc,170166,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,<=50K -33,Self-emp-not-inc,173495,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -18,Private,423024,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -24,Private,72119,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,2202,0,30,United-States,<=50K -32,Local-gov,19302,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,England,>50K -24,State-gov,257621,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -44,Self-emp-inc,118212,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,70,United-States,>50K -27,Private,259840,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -39,Private,115289,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,France,>50K -26,Local-gov,159662,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,379798,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Private,227945,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,65,United-States,>50K -41,State-gov,36999,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,75,United-States,>50K -73,?,131982,Bachelors,13,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,5,Vietnam,<=50K -32,Self-emp-inc,124052,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -56,Local-gov,273084,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -59,Private,170104,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -44,Private,96249,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -35,Private,140915,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,1590,40,South,<=50K -52,Private,230657,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,3781,0,40,Columbia,<=50K -30,Private,195576,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,3325,0,50,United-States,<=50K -23,Private,117767,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,112763,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,8614,0,43,United-States,>50K -61,Private,79827,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,103925,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -68,Private,161744,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,16,United-States,<=50K -41,Private,106679,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,27828,0,50,United-States,>50K -42,Self-emp-not-inc,196514,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,?,61985,9th,5,Separated,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K -19,Private,157605,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,137367,11th,7,Married-spouse-absent,Handlers-cleaners,Not-in-family,Asian-Pac-Islander,Male,0,0,40,India,<=50K -40,Self-emp-inc,110862,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2377,50,United-States,<=50K -32,Private,74883,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -51,Self-emp-inc,98642,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,14084,0,40,United-States,>50K -44,Local-gov,144778,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -23,Private,177787,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,30,England,<=50K -30,?,103651,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K -44,Private,162108,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -24,Private,217602,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -34,Private,473133,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -17,Private,113301,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,?,<=50K -61,Private,80896,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,45,India,>50K -30,Local-gov,168387,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,38950,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,107801,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -49,Private,191277,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,205359,Assoc-acdm,12,Widowed,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -39,?,240226,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K -34,Private,203357,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -52,Local-gov,153064,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -24,Private,202959,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,105150,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -19,Private,238474,11th,7,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,1085515,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -25,Private,82560,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,43,United-States,<=50K -71,Private,55965,7th-8th,4,Widowed,Transport-moving,Not-in-family,White,Male,0,0,10,United-States,<=50K -27,Private,161087,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,<=50K -28,Private,261278,Assoc-voc,11,Never-married,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K -54,Private,182187,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,Black,Male,15024,0,38,Jamaica,>50K -18,Private,138917,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,10,United-States,<=50K -49,Private,200198,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -36,Private,205359,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -57,Private,250201,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Male,0,0,50,United-States,<=50K -56,Federal-gov,67153,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Portugal,>50K -17,Private,244523,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -30,Private,236599,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,108713,10th,6,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,177147,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -61,Private,129246,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -50,?,222381,Some-college,10,Divorced,?,Unmarried,White,Male,0,0,40,United-States,<=50K -24,Private,145111,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -44,Private,62258,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,State-gov,108293,Masters,14,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K -61,?,167284,7th-8th,4,Widowed,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -25,Private,97789,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -34,Private,111415,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K -38,Private,374524,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,287244,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -17,?,341395,10th,6,Never-married,?,Own-child,Black,Male,0,0,20,United-States,<=50K -48,Private,278039,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,98360,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -52,Private,317032,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -55,State-gov,294395,Assoc-voc,11,Widowed,Prof-specialty,Unmarried,White,Female,6849,0,40,United-States,<=50K -41,Self-emp-not-inc,240900,HS-grad,9,Divorced,Farming-fishing,Other-relative,White,Male,0,0,20,United-States,<=50K -45,Private,32896,5th-6th,3,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,35,United-States,<=50K -49,Private,97411,7th-8th,4,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,45,Laos,<=50K -19,Private,72355,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -39,Private,342448,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -43,Private,187702,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,2174,0,45,United-States,<=50K -42,Private,303388,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K -17,Private,112291,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K -30,Private,208668,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,25,United-States,<=50K -61,Local-gov,28375,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,70,United-States,<=50K -48,Private,207277,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -60,?,88675,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,47857,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -27,Private,372500,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,Mexico,<=50K -24,Private,190968,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -41,Private,37997,12th,8,Divorced,Transport-moving,Not-in-family,White,Male,0,0,84,United-States,>50K -42,Private,257328,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -34,Private,127610,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K -22,?,139324,9th,5,Never-married,?,Unmarried,Black,Female,0,0,36,United-States,<=50K -47,Private,164423,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,43,United-States,<=50K -50,Private,104501,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,1980,40,United-States,<=50K -30,Private,56121,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,296212,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -31,Private,157640,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -44,Private,222504,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,45,United-States,>50K -34,Private,261023,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1651,38,United-States,<=50K -52,Private,146567,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Male,14344,0,40,United-States,>50K -34,Private,116910,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -31,Private,132601,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -68,Private,185537,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -22,Private,500720,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K -42,Private,182108,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -37,Private,231491,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -36,Self-emp-not-inc,239415,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -38,Private,179262,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -72,Without-pay,121004,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,55,United-States,<=50K -40,Private,252392,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -19,Private,163578,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -55,Private,143266,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Hungary,>50K -30,Private,285902,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,113094,Bachelors,13,Separated,Adm-clerical,Unmarried,White,Female,0,1092,40,United-States,<=50K -29,Private,278637,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,3103,0,45,United-States,>50K -41,Private,174540,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,4,United-States,<=50K -29,Private,188729,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -24,Private,72143,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -46,Self-emp-not-inc,328216,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -44,Private,165815,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -17,Private,317702,10th,6,Never-married,Sales,Own-child,Black,Female,0,0,15,United-States,<=50K -35,Private,215323,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -38,Private,192939,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -36,Private,156352,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,155066,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K -38,Self-emp-not-inc,152621,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K -19,Private,298891,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,40,Honduras,<=50K -30,Private,193298,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -36,Local-gov,150309,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -27,Private,384308,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -27,Private,305647,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -66,?,182378,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K -65,Federal-gov,23494,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,2174,40,United-States,>50K -37,Private,421633,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,>50K -17,Private,57723,11th,7,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K -19,?,307837,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -57,Private,103540,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,<=50K -54,Self-emp-not-inc,136224,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -21,Private,231573,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,242804,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,163671,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,287701,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,>50K -31,Private,187560,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -41,Private,222504,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K -20,Private,41356,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,59335,Bachelors,13,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,15,United-States,<=50K -62,Private,84756,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -41,Private,407425,12th,8,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K -37,Private,162424,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -53,Self-emp-not-inc,175456,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -28,Private,52603,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -23,Private,250630,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -46,Self-emp-not-inc,233974,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -28,Private,376302,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -50,Private,195638,10th,6,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,225775,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,Mexico,<=50K -84,Private,388384,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,10,United-States,<=50K -48,Self-emp-not-inc,219021,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -61,Self-emp-not-inc,168654,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K -44,Private,180609,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,<=50K -32,Private,114746,HS-grad,9,Separated,Handlers-cleaners,Unmarried,Asian-Pac-Islander,Female,0,0,60,South,<=50K -25,Private,178037,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K -47,State-gov,160045,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,268524,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -37,Private,174844,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,17,United-States,<=50K -28,Private,82488,HS-grad,9,Divorced,Tech-support,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -34,Private,221167,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -32,Self-emp-not-inc,48014,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -24,Private,217226,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -22,?,177902,Some-college,10,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,25,United-States,<=50K -30,Private,39386,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,99,United-States,<=50K -56,Private,37394,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,115426,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -28,Private,114158,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,26,United-States,<=50K -40,Private,119101,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,68,United-States,>50K -28,Private,360527,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -39,Private,225544,12th,8,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,108438,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -23,Private,230315,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Dominican-Republic,<=50K -32,Private,158002,Some-college,10,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,55,Ecuador,<=50K -37,Private,179468,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -71,Private,99894,5th-6th,3,Widowed,Priv-house-serv,Not-in-family,Asian-Pac-Islander,Female,0,0,75,United-States,<=50K -30,Private,270889,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -20,Private,42279,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -53,Federal-gov,167380,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1740,50,United-States,<=50K -42,Private,274913,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,45,United-States,<=50K -44,Private,35910,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,56,United-States,>50K -26,Private,68001,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,27162,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K -37,Self-emp-not-inc,286146,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,Local-gov,95462,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,50103,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -54,Private,511668,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,43,United-States,>50K -38,Self-emp-inc,189679,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -29,Private,115064,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,State-gov,215443,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,38,United-States,<=50K -32,Private,174789,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,50,United-States,<=50K -24,Private,91999,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,20,United-States,<=50K -59,Federal-gov,100931,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -56,Self-emp-not-inc,119069,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -40,Self-emp-not-inc,277488,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,84,United-States,<=50K -35,Private,265662,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -38,Private,114591,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,40,United-States,>50K -24,Private,227594,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -30,Private,129707,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1848,40,United-States,>50K -61,?,175032,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,133569,1st-4th,2,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Mexico,<=50K -20,Local-gov,308654,Some-college,10,Never-married,Protective-serv,Own-child,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K -36,Private,156084,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -45,Federal-gov,380127,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,210781,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -31,Private,189759,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,2001,40,United-States,<=50K -34,Private,258675,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,223367,11th,7,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -42,?,204817,9th,5,Never-married,?,Own-child,Black,Male,0,0,35,United-States,<=50K -23,Private,409230,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K -46,Federal-gov,308077,Prof-school,15,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,Germany,>50K -60,Private,159049,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,Germany,>50K -40,Private,353142,Some-college,10,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -55,Private,143030,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,304857,Masters,14,Separated,Tech-support,Not-in-family,White,Male,27828,0,40,United-States,>50K -28,Private,30912,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,43,United-States,<=50K -55,Private,125000,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -47,Private,181363,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -54,Private,338620,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,United-States,>50K -32,Private,115989,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,60,United-States,<=50K -38,Private,111128,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -61,Self-emp-not-inc,201273,Some-college,10,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,Self-emp-inc,137354,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K -29,Private,133420,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -26,Private,192208,HS-grad,9,Never-married,Protective-serv,Not-in-family,Black,Female,0,0,32,United-States,<=50K -19,Private,220001,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K -40,Private,352612,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,169426,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K -42,Private,319016,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,2885,0,45,United-States,<=50K -55,Private,119751,Masters,14,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,0,40,Thailand,<=50K -55,Private,202220,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,2407,0,35,United-States,<=50K -43,Self-emp-not-inc,99220,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -39,Private,111275,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Federal-gov,261241,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -28,Private,261725,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -36,Private,182013,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,40666,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,216461,Some-college,10,Divorced,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -60,Private,320376,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -35,Private,282951,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -36,State-gov,166697,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,290856,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -23,Private,455361,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Guatemala,<=50K -51,Private,82783,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,56536,11th,7,Never-married,Sales,Own-child,White,Female,1055,0,18,India,<=50K -33,Self-emp-not-inc,109959,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K -50,Private,177927,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,192337,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -18,Private,236272,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -26,Private,33610,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,209483,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,47,United-States,<=50K -26,Private,247006,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,United-States,<=50K -30,Local-gov,311913,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -39,?,204756,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -33,Local-gov,300681,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -42,State-gov,24264,Some-college,10,Divorced,Transport-moving,Unmarried,White,Male,0,0,38,United-States,<=50K -28,Private,266070,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -20,Private,226978,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -66,Local-gov,362165,Bachelors,13,Widowed,Prof-specialty,Not-in-family,Black,Female,0,2206,25,United-States,<=50K -31,Private,341672,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,50,India,<=50K -36,Private,179488,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,Canada,<=50K -39,Federal-gov,243872,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -52,Private,259583,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,159822,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,Poland,>50K -27,Private,219863,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,206947,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -21,Private,245572,9th,5,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -25,Private,38488,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,182504,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -38,Private,193815,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,Italy,<=50K -51,?,521665,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K -29,Private,46442,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,50,United-States,>50K -45,Private,60267,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -59,Private,264357,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -41,Private,191814,HS-grad,9,Married-civ-spouse,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,107882,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -43,Private,174575,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -17,Private,143331,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -32,Private,126132,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -42,Private,198619,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -68,Private,211287,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2392,40,United-States,>50K -55,Federal-gov,238192,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,1887,40,United-States,>50K -43,Private,257780,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,183355,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -28,Private,148429,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,71221,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,60,United-States,<=50K -21,Self-emp-not-inc,236769,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,32146,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,347491,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,1876,46,United-States,<=50K -34,Private,180714,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,2179,40,United-States,<=50K -57,?,188877,9th,5,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,306747,Bachelors,13,Divorced,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -21,State-gov,478457,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,12,United-States,<=50K -25,Private,248990,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Mexico,<=50K -51,Self-emp-inc,46281,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -35,Private,148015,Bachelors,13,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K -19,Private,278115,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K -27,Private,190525,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,55,United-States,>50K -34,Private,176673,Some-college,10,Never-married,Sales,Other-relative,Black,Female,0,0,35,United-States,<=50K -33,?,202366,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,32,United-States,<=50K -36,Private,238415,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,37939,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -60,Self-emp-not-inc,35649,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,383493,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -47,Federal-gov,204900,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,<=50K -42,Private,20809,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,75,United-States,>50K -34,Private,148207,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -21,Private,200153,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K -30,Private,169496,Masters,14,Married-civ-spouse,Other-service,Husband,White,Male,0,0,15,United-States,>50K -53,Private,22978,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -34,Private,366898,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,<=50K -37,Private,324947,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,321577,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -31,Private,241360,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,207564,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -33,Private,220860,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -41,Local-gov,336571,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -23,State-gov,56402,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -65,Private,180280,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -30,Private,81282,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,86332,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,4064,0,55,United-States,<=50K -30,Local-gov,27051,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -49,Private,287647,Masters,14,Divorced,Sales,Not-in-family,White,Male,4787,0,45,United-States,>50K -37,Self-emp-not-inc,183735,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,3137,0,30,United-States,<=50K -42,Private,100800,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -62,Private,155094,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K -67,?,102693,HS-grad,9,Widowed,?,Not-in-family,White,Male,1086,0,35,United-States,<=50K -31,Private,151053,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,40,United-States,>50K -50,Private,548361,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,>50K -33,Private,173858,Bachelors,13,Married-civ-spouse,Adm-clerical,Other-relative,Asian-Pac-Islander,Male,0,0,40,India,<=50K -27,Private,347153,Some-college,10,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K -31,Private,319146,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,Mexico,>50K -35,Private,197719,Some-college,10,Never-married,Machine-op-inspct,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -55,Private,197114,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,6,United-States,>50K -54,Self-emp-not-inc,109418,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1977,35,United-States,>50K -56,Private,182062,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,>50K -21,Private,184543,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -66,Private,175558,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,20,Germany,<=50K -46,Private,122026,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,340543,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -43,Private,101950,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -40,Private,179508,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K -52,Private,225317,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -59,Local-gov,53304,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -36,Local-gov,282602,Assoc-voc,11,Separated,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -33,Private,184016,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,250165,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,196467,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,35,United-States,<=50K -59,?,220783,10th,6,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Self-emp-not-inc,178780,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -62,Private,65868,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,43,United-States,<=50K -54,Private,35459,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,98986,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K -36,Private,282092,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,140764,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,45,United-States,<=50K -30,Private,33124,HS-grad,9,Separated,Farming-fishing,Unmarried,White,Female,0,0,14,United-States,<=50K -46,Private,90042,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -32,Private,102986,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,40,Laos,>50K -21,Private,214387,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,64,United-States,<=50K -39,Private,180667,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,278329,HS-grad,9,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,<=50K -32,Private,184440,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3464,0,40,United-States,<=50K -23,Private,140462,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,202565,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Italy,<=50K -62,?,181063,10th,6,Widowed,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -28,Private,287268,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -28,Private,215955,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,82552,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,41745,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,73587,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,35,United-States,<=50K -54,Private,263925,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -19,Private,196119,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -27,Private,284741,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -30,Private,293936,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,50,?,<=50K -35,Private,340428,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -66,?,175891,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -19,Local-gov,276973,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K -30,Private,161599,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -32,Private,144064,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,236391,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,224943,Assoc-voc,11,Never-married,Sales,Other-relative,Black,Male,0,0,65,United-States,<=50K -44,Private,151294,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -52,Private,68982,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -30,Private,241885,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,189461,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K -19,Self-emp-not-inc,36012,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -33,Private,85355,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,30,United-States,<=50K -20,Private,157595,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,Private,197286,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,362747,Some-college,10,Never-married,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K -24,Private,395297,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -31,Self-emp-not-inc,144949,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -20,?,163665,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -32,Private,141490,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -29,Private,147889,Assoc-acdm,12,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K -61,Private,232808,10th,6,Divorced,Other-service,Not-in-family,White,Male,0,0,24,United-States,<=50K -48,Private,70668,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,50,United-States,<=50K -29,Federal-gov,33315,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,?,63526,12th,8,Never-married,?,Not-in-family,Black,Male,0,0,52,United-States,<=50K -34,Private,591711,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,48,?,<=50K -22,Private,200318,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K -32,Private,97723,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,40,United-States,<=50K -38,Private,109231,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,102889,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -26,Private,167106,HS-grad,9,Never-married,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,40,Hong,<=50K -35,Private,182898,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,8614,0,40,United-States,>50K -62,Private,197918,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,67386,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Private,126592,HS-grad,9,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -34,Private,49469,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,99999,0,50,United-States,>50K -37,Self-emp-not-inc,119929,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -63,Private,158199,1st-4th,2,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,44,Portugal,<=50K -35,Private,341102,9th,5,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -55,Private,101524,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -40,Private,202872,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -25,Private,195201,HS-grad,9,Married-civ-spouse,Sales,Husband,Other,Male,0,0,50,United-States,<=50K -51,Private,128272,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,263094,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -54,Self-emp-inc,357596,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,55,United-States,>50K -47,Local-gov,102628,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -26,Private,171114,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,216414,Assoc-voc,11,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -24,Private,127753,12th,8,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -19,Private,282698,7th-8th,4,Never-married,Adm-clerical,Own-child,White,Male,0,0,80,United-States,<=50K -35,Private,139364,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -36,Local-gov,312785,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Male,0,0,35,United-States,<=50K -18,Private,92864,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -46,Local-gov,175428,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -30,Private,104223,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,32,United-States,<=50K -29,Private,144784,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -65,Private,178934,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,20,Jamaica,<=50K -41,Private,211253,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -34,Private,133122,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,103540,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -39,State-gov,172700,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -21,Private,282484,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -31,Private,323055,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -33,State-gov,291494,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -28,Private,214702,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -32,Private,116055,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,2977,0,35,United-States,<=50K -32,Private,226696,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K -31,Private,216827,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -41,Self-emp-not-inc,153132,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -48,Private,307440,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,45,Philippines,>50K -27,Private,278122,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,122195,HS-grad,9,Widowed,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,Self-emp-not-inc,156890,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -17,Private,36877,10th,6,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K -25,Private,131178,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,23,United-States,<=50K -34,Self-emp-inc,62396,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,62,United-States,>50K -33,Private,73054,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,96844,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K -22,Private,324922,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -61,Private,130684,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,<=50K -40,Private,178983,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,>50K -58,Private,81038,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,12,United-States,<=50K -30,Private,151967,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,58,United-States,<=50K -24,Private,278107,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K -52,Self-emp-not-inc,183146,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -50,Private,183638,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,247892,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,30,United-States,<=50K -22,Private,221480,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -32,Private,118551,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,?,>50K -21,Private,518530,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,193787,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,50,United-States,<=50K -34,Self-emp-inc,157466,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -48,Private,141511,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -61,?,158712,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,99,United-States,<=50K -21,Private,252253,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -20,Private,200450,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,52,United-States,<=50K -30,State-gov,343789,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -44,Private,277647,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -44,Private,291566,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,60,United-States,<=50K -29,Private,151382,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -31,Private,221167,Prof-school,15,Divorced,Tech-support,Not-in-family,White,Female,0,0,35,United-States,<=50K -35,Private,196178,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,302422,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,37379,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -37,Self-emp-not-inc,82540,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K -33,Self-emp-not-inc,182926,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,?,<=50K -44,Private,159911,7th-8th,4,Married-civ-spouse,Other-service,Wife,White,Female,0,0,55,United-States,<=50K -34,Private,212781,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -28,Local-gov,207213,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,5,United-States,<=50K -30,Private,200192,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,45,United-States,<=50K -41,Local-gov,180096,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -23,Private,192812,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,105908,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,70,United-States,<=50K -48,Private,373366,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,3781,0,50,Mexico,<=50K -26,State-gov,234190,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K -32,Private,260868,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K -26,Private,109097,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K -36,Private,171393,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,55,United-States,>50K -49,Private,209146,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -33,?,289046,HS-grad,9,Divorced,?,Not-in-family,Black,Male,0,1741,40,United-States,<=50K -54,Private,172281,Masters,14,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,>50K -36,Private,73023,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K -41,Private,122626,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,48,United-States,<=50K -27,Private,113635,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -68,?,257269,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,2377,35,United-States,>50K -21,?,191806,Some-college,10,Never-married,?,Own-child,White,Male,0,0,75,United-States,<=50K -56,?,35723,HS-grad,9,Divorced,?,Own-child,White,Male,0,0,40,United-States,<=50K -40,Self-emp-not-inc,30759,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -46,Private,105327,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,?,376058,9th,5,Never-married,?,Own-child,White,Female,0,0,45,United-States,<=50K -43,Private,219307,9th,5,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -46,Private,208067,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,78631,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K -19,Private,210308,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -67,Local-gov,190661,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,7896,0,50,United-States,>50K -31,Private,594187,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,228476,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -21,Private,126613,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,30267,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,216811,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,16,United-States,<=50K -62,Local-gov,115763,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -31,Local-gov,199368,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,50,United-States,>50K -52,Private,159755,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K -39,Self-emp-not-inc,188335,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,417668,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K -55,?,141807,HS-grad,9,Never-married,?,Not-in-family,White,Male,13550,0,40,United-States,>50K -38,Private,296317,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -36,Private,164898,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,452406,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,15,United-States,<=50K -27,Private,42696,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,262994,Some-college,10,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -43,State-gov,167298,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -51,Private,103529,11th,7,Divorced,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -47,Private,97883,Bachelors,13,Widowed,Priv-house-serv,Unmarried,White,Female,25236,0,35,United-States,>50K -49,State-gov,269417,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Female,0,2258,50,United-States,>50K -34,Private,199539,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -19,?,39460,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K -79,Federal-gov,62176,Doctorate,16,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,6,United-States,>50K -28,State-gov,239130,Some-college,10,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K -41,Self-emp-inc,151089,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,331611,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -31,Self-emp-not-inc,203463,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,151518,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -23,Self-emp-inc,39844,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -32,Private,299635,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Germany,<=50K -67,Private,123393,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,209538,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -35,Self-emp-not-inc,238802,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -29,Private,499197,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,200220,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,114059,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -18,Private,434430,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -47,Private,185385,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,24,United-States,<=50K -22,Private,225156,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,377931,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2377,48,United-States,<=50K -27,?,133359,Bachelors,13,Married-spouse-absent,?,Not-in-family,White,Male,0,0,50,?,<=50K -28,Private,226891,Some-college,10,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,30,?,<=50K -32,Private,201988,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,4508,0,40,?,<=50K -40,Private,287008,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,55,Germany,>50K -23,Private,151910,Bachelors,13,Never-married,Machine-op-inspct,Own-child,White,Female,0,1719,40,United-States,<=50K -25,Private,231714,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -44,Self-emp-inc,178510,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,2258,60,United-States,<=50K -43,Private,178866,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,25,United-States,>50K -31,Private,110643,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,55,United-States,>50K -33,Private,148261,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,217902,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -29,Self-emp-not-inc,77207,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -32,?,377017,Assoc-acdm,12,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -78,Private,184759,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,1797,0,15,United-States,<=50K -64,Self-emp-inc,80333,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -58,Private,265086,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -55,?,102058,12th,8,Widowed,?,Not-in-family,White,Male,0,0,30,United-States,<=50K -20,Private,333843,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -35,Private,296478,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -27,Local-gov,116662,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,353298,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,99999,0,50,United-States,>50K -42,Private,142424,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Local-gov,200808,12th,8,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,Puerto-Rico,<=50K -29,Private,119052,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Female,0,0,40,United-States,<=50K -33,Private,168981,1st-4th,2,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K -44,Private,151780,Some-college,10,Widowed,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -70,Private,237065,5th-6th,3,Widowed,Other-service,Other-relative,White,Female,2346,0,40,?,<=50K -25,Private,509866,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,78,United-States,<=50K -24,State-gov,249385,Bachelors,13,Never-married,Adm-clerical,Other-relative,White,Female,0,0,10,United-States,<=50K -42,State-gov,109462,Bachelors,13,Divorced,Adm-clerical,Unmarried,Black,Female,2977,0,40,United-States,<=50K -53,Private,250034,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,>50K -39,Private,249720,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,60,United-States,<=50K -72,Self-emp-not-inc,258761,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-inc,64048,9th,5,Never-married,Sales,Own-child,White,Female,0,0,44,Portugal,<=50K -25,State-gov,153534,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,193815,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -27,Private,255582,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,204527,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -64,Self-emp-not-inc,159938,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2635,0,24,Italy,<=50K -29,Self-emp-not-inc,229341,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K -50,Private,128143,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -33,Private,175479,5th-6th,3,Never-married,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K -18,Private,301814,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -20,Private,238917,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,32,Mexico,<=50K -32,Private,205581,Some-college,10,Separated,Tech-support,Unmarried,White,Female,0,0,50,United-States,<=50K -45,Private,340341,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -48,Private,147860,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,Black,Female,0,0,40,United-States,<=50K -20,?,121023,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -23,Private,259496,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -34,Federal-gov,190228,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,48,United-States,>50K -43,Private,180599,Bachelors,13,Separated,Exec-managerial,Unmarried,White,Male,8614,0,40,United-States,>50K -44,Private,116358,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -47,Self-emp-not-inc,180446,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,>50K -47,Private,264244,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,Black,Female,0,0,40,United-States,<=50K -46,Local-gov,197988,1st-4th,2,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K -19,Private,206599,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -51,Private,313146,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-inc,99212,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -37,Private,340599,11th,7,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Private,62932,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,44861,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,53893,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -53,Self-emp-inc,152810,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,45,United-States,>50K -47,Local-gov,128401,Doctorate,16,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,336951,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -60,Self-emp-not-inc,95445,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,3137,0,46,United-States,<=50K -43,Private,54611,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,315984,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,50,United-States,>50K -28,Private,210313,10th,6,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -19,Private,181020,11th,7,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,30,United-States,<=50K -51,Self-emp-not-inc,120781,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Other,Male,99999,0,70,India,>50K -19,Private,256979,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,35,United-States,<=50K -64,Private,47298,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -44,Private,125461,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -21,Private,209955,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K -33,Private,182246,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -63,Private,76860,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -44,?,91949,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -44,Local-gov,136986,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,35,United-States,>50K -28,Federal-gov,183445,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,70,Puerto-Rico,<=50K -24,Private,130741,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -20,Federal-gov,191878,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K -21,?,233923,Some-college,10,Never-married,?,Own-child,White,Female,0,0,24,United-States,<=50K -20,Private,48121,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,304302,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -34,Federal-gov,284703,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,52,United-States,<=50K -17,Private,401198,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -35,Private,243357,11th,7,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -26,Private,32276,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,110538,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,70,United-States,<=50K -25,Private,257310,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Self-emp-not-inc,411950,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -52,Local-gov,392668,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -43,Self-emp-not-inc,52498,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K -36,Private,223433,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K -37,Private,87076,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -58,Private,224854,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,193379,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -54,Private,98436,Masters,14,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -42,?,116632,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K -65,Self-emp-inc,210381,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,65,United-States,>50K -44,Private,90688,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Female,0,0,45,Laos,<=50K -61,Private,229744,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,El-Salvador,<=50K -29,Private,59732,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -34,Private,192900,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -24,State-gov,90046,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,Canada,<=50K -40,Private,272960,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,42,United-States,>50K -42,Self-emp-inc,152071,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,Cuba,>50K -50,Private,301583,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,?,171964,HS-grad,9,Never-married,?,Own-child,White,Female,0,1602,20,United-States,<=50K -49,Private,315984,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,241962,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,131591,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,45,United-States,<=50K -70,Self-emp-inc,207938,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,5,United-States,<=50K -51,Private,53197,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -24,Private,121023,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Self-emp-not-inc,287229,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -22,Private,163911,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -31,Private,191834,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,Private,204734,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K -45,Self-emp-not-inc,220978,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -39,Private,365739,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Private,50103,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,283293,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,194534,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,99999,0,60,United-States,>50K -19,Private,263338,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -36,?,504871,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -30,Private,348592,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,<=50K -28,Private,173944,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -53,Private,226135,9th,5,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,Jamaica,<=50K -32,Private,172375,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K -57,Self-emp-inc,127728,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K -47,Private,347025,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,191335,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,<=50K -21,Private,247779,11th,7,Never-married,Sales,Own-child,White,Female,0,0,38,United-States,<=50K -25,State-gov,262664,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -37,Private,95855,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,74501,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -43,Private,245317,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -61,Private,29059,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,2754,25,United-States,<=50K -56,Private,200316,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K -35,Private,198341,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K -59,Private,100453,7th-8th,4,Separated,Other-service,Own-child,Black,Female,0,0,38,United-States,<=50K -44,Self-emp-not-inc,343190,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,55,United-States,>50K -47,Private,235683,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,83237,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -64,Private,88470,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,198801,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -53,Private,168107,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -50,Private,196193,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K -30,?,205418,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K -46,Private,695411,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,44,United-States,<=50K -45,Self-emp-inc,139268,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -44,Federal-gov,192771,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -59,Self-emp-inc,122390,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,48,United-States,>50K -65,Self-emp-inc,184965,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K -23,Private,180837,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -33,Private,159548,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,38,United-States,<=50K -34,Private,110554,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -38,Private,103474,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -62,Private,178249,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -21,Private,138768,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -41,Private,321824,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,8,United-States,<=50K -35,Private,244803,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Peru,<=50K -62,Local-gov,206063,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K -53,Private,167651,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -69,State-gov,163689,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,16,United-States,<=50K -19,Self-emp-not-inc,45546,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K -47,Private,420986,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -52,Self-emp-inc,68015,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,90,United-States,>50K -54,Private,175594,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -58,?,148673,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K -30,Private,206322,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,73,United-States,>50K -39,Private,272338,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,25,United-States,<=50K -73,Private,105886,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,1173,0,75,United-States,<=50K -64,Private,312498,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,177675,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,152810,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -57,Private,319122,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,212304,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -53,Private,208321,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,1740,40,United-States,<=50K -39,Private,240841,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -49,Private,208978,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,16,United-States,<=50K -23,Local-gov,442359,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1092,40,United-States,<=50K -28,Private,198197,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K -46,Private,261059,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -40,Private,72791,Some-college,10,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -24,Private,275395,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -20,?,195767,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,462966,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,8,El-Salvador,<=50K -24,?,265434,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,31269,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -33,Local-gov,246291,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,46,United-States,<=50K -54,Federal-gov,128378,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Local-gov,231180,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -31,Local-gov,206297,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -47,Self-emp-inc,337050,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,193075,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -33,Local-gov,169652,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Male,0,1669,55,United-States,<=50K -35,Private,35945,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -20,?,141453,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K -36,Private,252231,Preschool,1,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,Puerto-Rico,<=50K -30,Private,128016,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -39,Private,150057,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -25,Private,258276,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -40,Private,188465,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -25,Self-emp-inc,161007,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,403468,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Mexico,<=50K -53,Federal-gov,181677,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,120243,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K -41,Private,157025,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K -25,Private,306908,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -66,Self-emp-not-inc,28061,7th-8th,4,Widowed,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K -53,Private,95540,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,1471,0,40,United-States,<=50K -27,Private,135001,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,293398,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,185106,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -29,Self-emp-not-inc,245790,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,80,United-States,<=50K -26,Private,134004,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -26,Private,205036,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,42,United-States,<=50K -26,Private,244495,9th,5,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -38,Private,159179,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,405155,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -34,Private,177437,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,45,United-States,>50K -32,Federal-gov,402361,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Self-emp-not-inc,184553,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -31,Private,302626,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,99138,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -39,Private,112731,HS-grad,9,Divorced,Other-service,Not-in-family,Other,Female,0,0,40,Dominican-Republic,<=50K -35,Private,192923,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2377,40,United-States,<=50K -18,Private,761006,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -75,?,125784,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -28,Private,182344,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,117012,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -39,Federal-gov,30673,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -31,Federal-gov,484669,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,State-gov,314052,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -43,State-gov,38537,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,38,?,<=50K -27,Private,165412,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,198341,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1902,55,India,>50K -46,Private,116635,Bachelors,13,Separated,Prof-specialty,Unmarried,Black,Female,0,0,36,United-States,<=50K -20,Private,185452,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -42,Private,118686,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,20,United-States,<=50K -69,Private,76939,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Federal-gov,160646,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K -49,State-gov,126754,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K -20,Private,211049,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,30,United-States,<=50K -52,Private,311931,5th-6th,3,Married-civ-spouse,Sales,Wife,White,Female,0,0,15,El-Salvador,<=50K -33,Private,283602,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,59,Mexico,<=50K -18,Private,155021,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,6,United-States,<=50K -55,Self-emp-not-inc,100569,HS-grad,9,Separated,Farming-fishing,Unmarried,White,Female,0,0,55,United-States,<=50K -61,Private,380462,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K -61,Federal-gov,221943,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,9386,0,40,United-States,>50K -39,Private,114544,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K -30,Private,248584,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,227468,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -36,Private,66173,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,White,Female,0,0,15,United-States,<=50K -34,Private,107624,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -53,Private,70387,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,4386,0,40,India,>50K -38,Private,423616,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,36,United-States,>50K -46,Private,98637,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K -27,Local-gov,216013,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,210926,11th,7,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,40,Nicaragua,<=50K -60,Local-gov,255711,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,>50K -23,Private,77581,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -29,Private,152461,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,14344,0,50,United-States,>50K -22,Private,203263,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -25,Private,261519,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -29,Private,91189,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -90,Federal-gov,195433,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K -37,Local-gov,272471,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,311524,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,38,United-States,<=50K -18,Private,151386,HS-grad,9,Married-spouse-absent,Other-service,Own-child,Black,Male,0,0,40,Jamaica,<=50K -35,Private,187625,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,65,United-States,<=50K -50,Private,108933,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,2885,0,40,United-States,<=50K -54,Private,135388,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -43,Private,169383,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -28,Self-emp-inc,191129,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,>50K -51,Private,467611,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -31,Private,373185,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,42,Mexico,<=50K -69,Private,130060,HS-grad,9,Separated,Transport-moving,Unmarried,Black,Female,2387,0,40,United-States,<=50K -57,Private,199934,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -71,?,116165,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,14,Canada,<=50K -28,Private,42881,10th,6,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -28,?,174666,10th,6,Separated,?,Not-in-family,White,Male,0,0,80,United-States,<=50K -25,Private,169759,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,95,United-States,<=50K -49,Self-emp-not-inc,181547,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,Columbia,<=50K -52,Private,95704,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,237432,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,?,<=50K -32,Private,226267,5th-6th,3,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,40,El-Salvador,<=50K -31,Private,159979,Some-college,10,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,50,United-States,<=50K -30,Private,203488,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -24,Private,403671,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -45,Private,192323,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,66,Yugoslavia,<=50K -30,Private,167832,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,145166,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K -42,State-gov,155657,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,25,United-States,<=50K -49,Private,116789,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,39234,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -25,Private,124111,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -41,Private,172828,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,55,Outlying-US(Guam-USVI-etc),<=50K -55,Private,143372,HS-grad,9,Divorced,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -31,Self-emp-not-inc,265807,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,3137,0,50,United-States,<=50K -25,State-gov,218184,Bachelors,13,Never-married,Protective-serv,Not-in-family,Black,Female,0,0,40,United-States,<=50K -32,Private,154087,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -29,Federal-gov,440647,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K -37,Private,193952,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,?,<=50K -52,Private,125932,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,284652,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -21,?,214635,Some-college,10,Never-married,?,Own-child,White,Male,0,0,24,United-States,<=50K -43,Private,173316,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,State-gov,65390,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,?,<=50K -40,Self-emp-inc,45054,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -54,Private,185042,1st-4th,2,Separated,Priv-house-serv,Other-relative,White,Female,0,0,40,Mexico,<=50K -35,Private,117381,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,258666,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,1974,40,United-States,<=50K -35,Private,179668,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -57,Private,127277,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K -26,Private,192022,Bachelors,13,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -55,Self-emp-not-inc,99551,Bachelors,13,Widowed,Sales,Unmarried,White,Female,0,0,15,United-States,<=50K -51,Private,208899,Bachelors,13,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -35,Private,287658,Assoc-acdm,12,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,30,Jamaica,<=50K -31,Private,196125,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,275051,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,8,United-States,<=50K -38,Private,23892,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -39,Federal-gov,376455,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,50,United-States,>50K -29,Private,267989,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -39,Private,30269,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,204235,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -46,Local-gov,209057,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -73,Private,349347,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,25,United-States,<=50K -47,Local-gov,154033,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,1876,40,United-States,<=50K -28,Private,124680,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,70,United-States,<=50K -27,Private,132805,10th,6,Never-married,Sales,Other-relative,White,Male,0,1980,40,United-States,<=50K -38,Private,99233,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -19,Private,224849,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K -60,Local-gov,101110,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,>50K -24,Private,184839,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,302847,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,181322,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K -26,Local-gov,192213,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,Canada,<=50K -28,State-gov,37250,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,16,United-States,<=50K -38,Self-emp-inc,140854,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -47,Private,158286,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -50,Private,269095,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K -27,Private,279960,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,176239,Some-college,10,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,115360,10th,6,Married-civ-spouse,Machine-op-inspct,Own-child,White,Female,3464,0,40,United-States,<=50K -49,Private,337666,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -68,?,255276,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,48,United-States,>50K -63,Private,145212,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,185099,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K -42,Private,142756,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -28,Private,156300,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,45,United-States,<=50K -68,?,186266,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,8,United-States,<=50K -38,Private,219137,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,22,United-States,<=50K -43,Private,110970,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -49,Private,203067,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -59,Private,148844,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,154941,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -26,Private,124111,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K -59,Private,157303,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,<=50K -34,Private,113838,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -34,Private,165737,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,43,India,>50K -67,Private,140849,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K -45,Private,200363,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,44,United-States,<=50K -64,Private,180247,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -51,Private,82578,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,Canada,>50K -31,Private,227146,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -42,Self-emp-inc,348886,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -65,Private,90907,5th-6th,3,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -23,Private,142766,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,20,United-States,<=50K -31,Private,246439,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -33,Private,184784,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Local-gov,195262,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -63,Private,167967,Masters,14,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,46,United-States,<=50K -48,Private,145636,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,>50K -45,Local-gov,170099,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -17,Private,228253,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K -26,Local-gov,205570,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Federal-gov,506830,Some-college,10,Divorced,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -29,Private,412435,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,Outlying-US(Guam-USVI-etc),<=50K -44,Private,163331,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K -43,Federal-gov,222756,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,State-gov,318918,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,105188,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,Haiti,<=50K -23,Private,199884,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K -19,Private,96483,HS-grad,9,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -49,Self-emp-not-inc,192203,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,<=50K -52,Private,203392,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K -32,Private,99646,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -38,Private,167440,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,4508,0,40,United-States,<=50K -25,?,210095,5th-6th,3,Never-married,?,Unmarried,White,Female,0,0,25,El-Salvador,<=50K -44,Private,219591,Some-college,10,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -63,Private,30270,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -42,Local-gov,226020,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,0,0,60,?,<=50K -21,Private,314165,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,Columbia,<=50K -32,Private,330715,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Self-emp-not-inc,35448,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K -50,State-gov,172970,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -26,Self-emp-inc,189502,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,>50K -35,Private,61518,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K -31,Private,574005,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K -24,Private,281356,1st-4th,2,Never-married,Farming-fishing,Not-in-family,Other,Male,0,0,66,Mexico,<=50K -40,Private,138975,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,<=50K -31,Private,176969,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K -43,Private,132393,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,Poland,<=50K -44,Private,194924,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K -40,Private,478205,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K -75,?,128224,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K -52,Local-gov,30118,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,3137,0,42,United-States,<=50K -51,Self-emp-not-inc,290688,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,State-gov,85566,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,121874,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K -40,Self-emp-not-inc,29036,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,35,United-States,<=50K -33,Private,348152,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Local-gov,73715,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K -29,Private,151382,Assoc-voc,11,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,50,United-States,<=50K -37,Private,236359,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K -37,Private,19899,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,45,United-States,>50K -19,Private,138760,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -46,Local-gov,354962,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -46,Private,181363,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -37,Private,393360,Some-college,10,Never-married,Protective-serv,Own-child,Black,Male,0,0,30,United-States,<=50K -34,Private,210736,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,?,<=50K -38,Private,110013,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,43,United-States,<=50K -26,Private,193304,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,118551,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -57,Private,201991,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,157446,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K -26,Local-gov,283217,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,247794,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,84,United-States,<=50K -38,Private,43712,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,60,United-States,>50K -61,Private,35649,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,6,United-States,<=50K -36,Self-emp-not-inc,342719,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,?,>50K -61,?,71467,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,3103,0,40,United-States,>50K -17,Private,271837,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,16,United-States,<=50K -40,Private,400061,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,United-States,>50K -18,Private,62972,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -21,Private,174907,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,32,United-States,<=50K -41,Private,176452,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,Peru,<=50K -46,Private,268358,11th,7,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Federal-gov,176904,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,176683,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,52,United-States,<=50K -39,Private,98077,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,42,United-States,<=50K -36,Private,266461,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,48,United-States,<=50K -51,Private,312477,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,3908,0,40,United-States,<=50K -27,Private,604045,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Local-gov,131568,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -42,Private,97688,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,47,United-States,<=50K -23,Private,373628,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -56,Private,367984,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -41,Self-emp-not-inc,193459,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -49,Private,250733,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K -46,Federal-gov,199725,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Female,0,0,60,United-States,<=50K -54,Private,156877,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Greece,<=50K -38,Private,122076,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,43,United-States,>50K -45,Self-emp-not-inc,216402,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,India,>50K -50,Self-emp-not-inc,42402,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,30,United-States,>50K -22,Private,315974,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,63437,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Ireland,<=50K -27,Private,160786,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -34,Private,85374,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,465974,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K -47,Private,78529,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -36,State-gov,98037,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -22,Private,178390,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,210940,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,2002,45,United-States,<=50K -43,Private,64506,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -54,Private,128378,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -24,Private,234460,9th,5,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,Dominican-Republic,<=50K -29,Private,176760,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,55,United-States,<=50K -40,State-gov,59460,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -18,Private,234428,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -31,Private,215047,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -57,Private,140426,Doctorate,16,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,40,Germany,>50K -32,Private,191777,Masters,14,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -48,Private,148995,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -24,Private,229773,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -24,Private,174461,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,0,0,22,United-States,<=50K -24,Private,250647,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Guatemala,<=50K -49,Local-gov,119904,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,30,United-States,>50K -27,Self-emp-not-inc,151402,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1573,70,United-States,<=50K -37,Private,184556,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,263561,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -19,Private,177945,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K -45,Private,306889,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -54,Local-gov,54377,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,144351,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,625,40,United-States,<=50K -22,Private,95566,Some-college,10,Married-spouse-absent,Sales,Own-child,Other,Female,0,0,22,Dominican-Republic,<=50K -20,Private,181675,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,172129,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -49,?,350759,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -58,Self-emp-not-inc,105592,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -20,?,200061,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,?,<=50K -34,Self-emp-inc,200689,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,386726,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,44,United-States,>50K -28,Local-gov,135567,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,4101,0,60,United-States,<=50K -38,Local-gov,282753,Assoc-voc,11,Divorced,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -32,Private,137367,11th,7,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,India,<=50K -35,Self-emp-inc,153976,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -51,Self-emp-inc,96062,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -33,Private,152933,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -71,Private,97870,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,15,Germany,<=50K -48,Private,254291,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -53,Self-emp-not-inc,101432,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -40,Private,125776,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -64,Self-emp-not-inc,165479,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,5,United-States,<=50K -42,Federal-gov,172307,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,>50K -25,Private,176729,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -66,Private,174276,Some-college,10,Widowed,Sales,Unmarried,White,Female,0,0,50,United-States,>50K -59,Federal-gov,48102,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,?,>50K -42,Self-emp-not-inc,79531,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -24,Private,306460,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K -19,Private,55284,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,25,United-States,<=50K -26,Private,172063,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K -22,Private,141028,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,30,United-States,<=50K -33,Private,37274,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -63,Private,31389,11th,7,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,12,United-States,<=50K -20,Private,415913,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -33,Private,295591,5th-6th,3,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -57,?,202903,7th-8th,4,Married-civ-spouse,?,Wife,White,Female,1173,0,45,Puerto-Rico,<=50K -56,Private,159770,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -70,Self-emp-not-inc,268832,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,24,United-States,>50K -42,Private,126003,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -25,Local-gov,225193,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -28,Private,297735,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -80,Self-emp-not-inc,225892,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,1409,0,40,United-States,<=50K -36,Private,605502,10th,6,Never-married,Transport-moving,Not-in-family,Black,Female,0,0,40,United-States,<=50K -37,Private,174150,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Private,165466,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,>50K -52,State-gov,189728,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -49,Private,360491,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,115040,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,262688,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,7688,0,50,United-States,>50K -70,Self-emp-inc,158437,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K -55,Private,41108,Some-college,10,Widowed,Farming-fishing,Not-in-family,White,Male,0,2258,62,United-States,>50K -25,Private,149875,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -59,Private,131916,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Italy,>50K -22,Private,60668,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Local-gov,153132,Assoc-acdm,12,Separated,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -62,Private,155256,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -54,Private,244770,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -38,Private,312108,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -52,Private,102828,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -36,Private,93225,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -74,Self-emp-inc,231002,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,>50K -35,Self-emp-not-inc,256992,5th-6th,3,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,Mexico,<=50K -41,Private,118721,12th,8,Divorced,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -30,Private,151989,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K -25,Private,109112,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -35,Private,589809,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,13550,0,60,United-States,>50K -38,Private,172538,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -34,State-gov,318982,Masters,14,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1848,40,United-States,>50K -48,Private,204629,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -50,Self-emp-not-inc,99894,5th-6th,3,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,0,0,15,United-States,<=50K -19,Private,369463,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -51,Private,79324,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,61178,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -20,Private,204226,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -17,Private,183110,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K -42,Private,96321,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -25,Private,167031,Some-college,10,Never-married,Other-service,Other-relative,Other,Female,0,0,25,Ecuador,<=50K -36,Private,108997,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -65,Private,176796,Doctorate,16,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,Self-emp-not-inc,134737,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,70,United-States,>50K -33,Self-emp-inc,49795,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -32,State-gov,131588,Some-college,10,Never-married,Tech-support,Unmarried,Black,Female,0,0,20,United-States,<=50K -25,Private,307643,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -41,Local-gov,351350,Some-college,10,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,260761,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -72,Private,156310,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,2414,0,12,United-States,<=50K -36,Private,207789,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,52,United-States,<=50K -67,Self-emp-not-inc,252842,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,1797,0,20,United-States,<=50K -28,Private,294936,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,4064,0,45,United-States,<=50K -24,Private,196269,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,Other,Male,0,0,40,United-States,<=50K -17,Private,46402,7th-8th,4,Never-married,Sales,Own-child,White,Male,0,0,8,United-States,<=50K -32,Self-emp-not-inc,267161,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,30,United-States,<=50K -67,Private,160456,11th,7,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,?,123983,Some-college,10,Never-married,?,Other-relative,Asian-Pac-Islander,Male,0,0,10,Vietnam,<=50K -51,Private,123053,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,5013,0,40,India,<=50K -32,Private,426467,1st-4th,2,Never-married,Craft-repair,Not-in-family,White,Male,3674,0,40,Guatemala,<=50K -39,Private,269323,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -18,Self-emp-not-inc,42857,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,35,United-States,<=50K -50,Self-emp-not-inc,183915,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -24,Private,211391,10th,6,Never-married,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K -21,Local-gov,193130,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,86745,Bachelors,13,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,16,United-States,<=50K -34,Private,226525,Assoc-voc,11,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -68,?,270339,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K -49,Self-emp-not-inc,343742,10th,6,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,32,United-States,<=50K -50,Private,150975,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -33,Private,207301,Assoc-acdm,12,Divorced,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -18,Private,135924,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,184277,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,55,United-States,>50K -20,Private,142233,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -46,Self-emp-inc,120902,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,37,United-States,>50K -64,Local-gov,158412,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,126161,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -35,Private,149347,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,70,United-States,<=50K -21,Private,322674,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K -29,Private,55390,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -38,State-gov,200904,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,30,United-States,>50K -45,Private,166056,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Self-emp-not-inc,116666,Masters,14,Divorced,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,50,India,>50K -41,Private,168324,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -37,Private,121772,HS-grad,9,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Hong,<=50K -45,Private,126889,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,60,United-States,>50K -20,?,401690,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -45,Self-emp-inc,117605,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -20,Federal-gov,410446,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,20,United-States,<=50K -63,Self-emp-inc,38472,Some-college,10,Widowed,Sales,Not-in-family,White,Female,14084,0,60,United-States,>50K -35,Self-emp-not-inc,335704,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,70261,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -19,Private,47577,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -23,Private,117767,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -34,Private,179641,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -23,?,343553,11th,7,Never-married,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K -36,Self-emp-not-inc,328466,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,Mexico,>50K -46,Private,265097,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,5,United-States,<=50K -38,Local-gov,414791,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K -55,Local-gov,48055,12th,8,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,341672,Some-college,10,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Male,0,0,40,India,<=50K -48,Private,266764,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -35,Private,233571,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,50,United-States,<=50K -53,Private,126592,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,7688,0,40,United-States,>50K -47,Private,70754,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,138852,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,4650,0,22,United-States,<=50K -32,Private,175856,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,193494,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,46,United-States,<=50K -41,Private,104334,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -47,Federal-gov,197332,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,205844,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,25,United-States,<=50K -45,Local-gov,206459,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K -33,Private,202822,7th-8th,4,Never-married,Other-service,Unmarried,Black,Female,0,0,14,Trinadad&Tobago,<=50K -68,Without-pay,174695,Some-college,10,Married-spouse-absent,Farming-fishing,Unmarried,White,Female,0,0,25,United-States,<=50K -44,Private,183342,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -49,Private,105614,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -45,Private,329603,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Poland,>50K -41,Private,77373,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1848,65,United-States,>50K -29,Private,207473,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Mexico,<=50K -46,Private,149161,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,?,<=50K -19,Private,311974,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,25,Mexico,<=50K -56,Private,175127,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,111625,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -29,Private,48895,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -21,Private,27049,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,25,United-States,<=50K -38,Private,108907,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K -52,Private,94988,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -22,Private,218343,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -20,Private,227626,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,<=50K -31,Private,272856,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,50,England,<=50K -39,Private,30916,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,276229,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,289106,Assoc-acdm,12,Separated,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K -67,?,39100,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,5,United-States,<=50K -45,Private,192776,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,55,United-States,>50K -61,Private,147280,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -18,Private,187770,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -51,State-gov,213296,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,107410,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -21,?,170272,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -32,Private,86808,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,38,United-States,<=50K -48,Private,149210,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Male,0,0,45,United-States,<=50K -62,Private,123411,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,53,United-States,<=50K -21,?,306779,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -28,Private,487347,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -19,Private,283945,10th,6,Never-married,Handlers-cleaners,Other-relative,White,Male,0,1602,45,United-States,<=50K -20,Private,375698,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -41,Private,271753,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,251854,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -47,Private,264052,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -43,State-gov,28451,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,37,United-States,>50K -20,Private,282604,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,20,United-States,<=50K -29,Private,185908,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,55,United-States,>50K -51,Federal-gov,198186,Bachelors,13,Widowed,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K -40,Private,242521,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Private,337940,5th-6th,3,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,Mexico,<=50K -30,Private,212064,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,129263,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -68,Local-gov,144761,HS-grad,9,Widowed,Protective-serv,Not-in-family,White,Male,0,1668,20,United-States,<=50K -42,Private,109912,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,>50K -41,Private,113324,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,187795,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -20,Private,173724,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -43,Private,185129,Bachelors,13,Divorced,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -53,Private,73134,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K -45,Private,236040,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -39,Private,74194,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K -31,Local-gov,102130,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -23,Private,140915,Some-college,10,Never-married,Sales,Other-relative,Asian-Pac-Islander,Male,0,0,25,Philippines,<=50K -69,?,107575,HS-grad,9,Divorced,?,Not-in-family,White,Female,2964,0,35,United-States,<=50K -38,State-gov,34364,Masters,14,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Self-emp-not-inc,258037,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,Cuba,>50K -18,Private,391585,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K -41,Self-emp-not-inc,233130,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,Mexico,<=50K -30,Private,101345,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,3103,0,55,United-States,>50K -23,?,32897,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -26,Private,248612,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K -37,Private,212465,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,198587,Some-college,10,Never-married,Tech-support,Not-in-family,Black,Female,2174,0,50,United-States,<=50K -33,Private,405913,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Peru,>50K -37,Private,588003,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -31,Private,46807,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,210498,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,<=50K -35,Private,206951,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -28,Self-emp-not-inc,237466,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,>50K -59,Private,279636,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,Guatemala,<=50K -42,Private,29320,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,271262,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -27,?,29361,Assoc-acdm,12,Never-married,?,Not-in-family,White,Female,0,0,45,United-States,<=50K -32,Private,76773,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,109004,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K -43,Private,226902,Bachelors,13,Divorced,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -46,Private,176552,11th,7,Divorced,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K -41,Private,182303,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -59,Local-gov,296253,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,8614,0,60,United-States,>50K -20,Private,218215,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -57,Private,165695,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,>50K -46,Self-emp-not-inc,51271,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,4386,0,70,United-States,<=50K -45,Private,96100,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -29,Local-gov,82393,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Asian-Pac-Islander,Male,0,1590,45,United-States,<=50K -23,Private,248978,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -46,Private,254367,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,1590,48,United-States,<=50K -55,?,200235,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K -58,Private,94429,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -38,Private,87282,Assoc-voc,11,Never-married,Exec-managerial,Other-relative,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -29,Private,119793,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,50,United-States,<=50K -57,?,85815,HS-grad,9,Divorced,?,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K -26,Local-gov,197764,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,306982,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -61,Private,80896,HS-grad,9,Separated,Transport-moving,Unmarried,Asian-Pac-Islander,Male,0,0,45,United-States,>50K -31,Private,197886,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K -43,Private,355728,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,121124,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,50,United-States,>50K -51,State-gov,193720,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,>50K -23,Private,347292,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,34506,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,326370,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,?,<=50K -22,?,269221,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,63509,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -48,Private,148254,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,16,United-States,>50K -33,Private,190511,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -46,Private,268022,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,?,>50K -18,Private,20057,7th-8th,4,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -52,Private,206862,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,189498,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,45,United-States,>50K -28,Private,166320,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Private,289886,Some-college,10,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,30,Vietnam,<=50K -23,?,86337,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,15,United-States,<=50K -45,Local-gov,54190,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -17,Private,147069,10th,6,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K -56,Private,282023,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -38,Self-emp-inc,379485,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Male,0,0,45,United-States,<=50K -81,Private,129338,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,10,United-States,<=50K -22,Private,99829,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K -43,State-gov,182254,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,109428,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1740,40,United-States,<=50K -42,Self-emp-not-inc,351161,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -66,?,210750,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K -50,Private,132716,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -31,Private,242984,Some-college,10,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,101509,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,?,509629,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K -36,Private,119957,Bachelors,13,Separated,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K -33,Private,69727,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -36,Private,204590,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,213,40,United-States,<=50K -37,?,50862,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,55,United-States,<=50K -50,Private,182907,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -55,Private,206487,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -29,Private,168015,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,149396,Some-college,10,Never-married,Other-service,Other-relative,Black,Female,0,0,30,Haiti,<=50K -39,Federal-gov,184964,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K -34,Private,398988,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,128777,7th-8th,4,Divorced,Craft-repair,Unmarried,White,Female,0,0,55,United-States,<=50K -60,Private,252413,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,32,United-States,>50K -33,Private,181372,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -58,Private,216851,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,El-Salvador,<=50K -27,Private,106935,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,State-gov,363875,Some-college,10,Divorced,Protective-serv,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -63,Private,287277,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,172342,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,308498,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,15,United-States,<=50K -29,Private,122127,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,8614,0,40,United-States,>50K -31,Private,106437,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,60,United-States,>50K -49,Self-emp-inc,306289,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -45,Self-emp-inc,201699,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -42,Private,282062,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,235108,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,339482,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,181820,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,99335,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -40,Private,367533,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2580,0,40,United-States,<=50K -57,Private,64960,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,45,United-States,<=50K -50,Private,269095,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,58683,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K -35,Self-emp-not-inc,89508,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3908,0,60,United-States,<=50K -19,Private,100999,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -18,Private,34125,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,28,United-States,<=50K -20,Private,115057,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,139126,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,104632,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,>50K -40,Federal-gov,178866,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K -54,Private,139850,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,45,United-States,>50K -28,Private,61435,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -38,Private,309230,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -28,Private,45613,Some-college,10,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,272615,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,54318,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -27,Private,165519,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,48495,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K -38,Private,143123,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -67,Self-emp-not-inc,431426,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,20051,0,4,United-States,>50K -75,Private,256474,Masters,14,Never-married,Protective-serv,Not-in-family,White,Male,0,0,16,United-States,<=50K -41,Private,191451,Masters,14,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,60,United-States,>50K -37,Private,99146,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -47,Private,235986,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,50,Cuba,<=50K -34,Local-gov,429897,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Mexico,>50K -25,Private,189897,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -52,Private,145155,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,State-gov,192257,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,2174,0,40,United-States,<=50K -35,Private,194960,HS-grad,9,Never-married,Farming-fishing,Not-in-family,Other,Male,0,0,40,Puerto-Rico,<=50K -44,Local-gov,357814,12th,8,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,35,Mexico,<=50K -27,Local-gov,137629,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,>50K -42,Private,156526,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,33,United-States,<=50K -26,Private,189238,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,38,El-Salvador,<=50K -23,Private,202989,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Canada,<=50K -28,Private,25684,HS-grad,9,Never-married,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,192939,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,138692,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K -29,Private,222249,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -56,Self-emp-not-inc,201318,9th,5,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,3411,0,50,Columbia,<=50K -23,?,190650,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,0,0,35,United-States,<=50K -30,Private,56004,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K -48,Private,182313,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -45,Self-emp-not-inc,138962,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,72,?,<=50K -38,Private,277248,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Cuba,>50K -24,Private,125031,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -47,State-gov,216414,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -22,Private,171176,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,48,?,<=50K -29,Private,356133,Some-college,10,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K -45,Private,185397,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,308285,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,56651,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -28,Local-gov,154863,9th,5,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Trinadad&Tobago,>50K -46,Federal-gov,44706,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,>50K -34,?,222548,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,4,United-States,<=50K -32,Private,248754,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,104981,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,315065,Some-college,10,Never-married,Other-service,Unmarried,White,Male,0,0,35,Mexico,<=50K -46,Private,188325,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,221661,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K -59,Private,81973,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -31,Private,169122,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -48,Private,216734,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,98101,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,292511,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -20,Private,122971,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K -29,Private,124953,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,United-States,<=50K -54,Private,123011,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -36,Private,76417,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K -43,Private,351576,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -46,Federal-gov,33794,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,3103,0,40,United-States,>50K -33,Private,79923,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -33,Private,117983,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K -36,Private,186110,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,187589,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,5178,0,40,United-States,>50K -37,?,319685,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,54,United-States,>50K -64,?,64101,12th,8,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K -45,Self-emp-not-inc,162923,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -25,Private,288519,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,33798,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,195734,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,2354,0,40,United-States,<=50K -23,Private,214120,HS-grad,9,Never-married,Priv-house-serv,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,113515,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Self-emp-not-inc,261230,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,98515,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Private,187715,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -23,?,214238,7th-8th,4,Never-married,?,Not-in-family,White,Female,0,0,40,Mexico,<=50K -32,Private,123964,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,4386,0,50,United-States,<=50K -26,Private,68991,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K -52,Private,292110,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -19,Private,198320,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K -33,Private,709798,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -60,Private,372838,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,160402,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,38,United-States,<=50K -45,Private,98475,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -37,Local-gov,97136,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -29,Private,136985,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -53,Private,187356,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,66,United-States,<=50K -46,State-gov,107231,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1740,40,United-States,<=50K -20,Private,305874,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,290922,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -48,Private,248254,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,7298,0,40,United-States,>50K -38,Private,160808,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,4386,0,48,United-States,<=50K -36,Private,247321,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -53,Private,247651,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,56,United-States,<=50K -29,Private,214702,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1974,35,United-States,<=50K -64,Private,75577,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,2580,0,50,United-States,<=50K -34,Private,561334,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -36,?,224886,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -41,Local-gov,401134,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,258170,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K -68,?,141181,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,<=50K -37,Private,292370,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,50,?,>50K -22,Private,300871,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,136721,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,?,140399,Some-college,10,Never-married,?,Other-relative,White,Female,0,0,30,United-States,<=50K -36,Private,109133,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,186534,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -25,Private,226891,Assoc-voc,11,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,?,<=50K -33,Private,241885,Some-college,10,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,97165,Some-college,10,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K -33,Private,212918,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,70,United-States,<=50K -24,Private,211585,HS-grad,9,Married-civ-spouse,Transport-moving,Own-child,White,Female,0,0,40,United-States,<=50K -47,Local-gov,178309,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Self-emp-inc,481987,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,215211,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -33,Local-gov,194901,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -44,Private,340885,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1977,40,United-States,>50K -33,Local-gov,190290,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,56,United-States,<=50K -26,Private,188569,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -22,Private,162282,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -34,Private,287315,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -31,Self-emp-inc,304212,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K -73,?,200878,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,15,United-States,<=50K -38,Local-gov,256864,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,46401,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -36,Private,37778,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,191722,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,54,United-States,>50K -64,Self-emp-not-inc,103643,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,>50K -24,Private,143766,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,55,United-States,<=50K -21,State-gov,204425,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K -28,Private,156257,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -18,?,113185,11th,7,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -41,Self-emp-inc,112262,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -17,Private,28031,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K -58,Private,320102,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -50,Self-emp-not-inc,334273,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,8,United-States,<=50K -30,Private,356015,11th,7,Married-spouse-absent,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,Mexico,<=50K -47,Private,278900,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,142528,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -50,Federal-gov,343014,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K -29,Private,201017,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,Scotland,<=50K -31,Self-emp-not-inc,81030,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -40,Self-emp-not-inc,34007,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,>50K -31,Private,29662,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -53,Private,347446,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -33,Private,90668,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,190403,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -56,Private,109015,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,50,United-States,>50K -38,Private,234807,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -18,Private,157131,11th,7,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -50,Private,94081,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -78,Private,135566,HS-grad,9,Widowed,Sales,Unmarried,White,Female,2329,0,12,United-States,<=50K -27,Private,103164,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,570002,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -24,State-gov,215797,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,289405,Some-college,10,Never-married,Sales,Own-child,White,Male,0,1602,15,United-States,<=50K -25,Private,239461,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K -34,Private,101510,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,>50K -30,Self-emp-inc,443546,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -37,Federal-gov,141029,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,207202,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K -67,Without-pay,137192,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,12,Philippines,<=50K -35,Private,222989,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -75,Self-emp-not-inc,36325,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -47,Private,73394,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K -23,Private,249046,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -51,Federal-gov,100653,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K -42,Local-gov,1125613,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -32,Private,101352,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,32,United-States,>50K -54,Private,340476,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -20,Private,192711,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -39,Private,273362,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -41,Private,100451,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,38,United-States,>50K -35,Private,85399,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Local-gov,168191,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K -27,Private,153475,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -61,Self-emp-not-inc,196773,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K -41,Private,180138,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -22,Private,48347,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -55,Private,175071,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,15024,0,40,United-States,>50K -66,?,129476,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K -25,Private,181772,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,284317,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -20,Private,237305,Some-college,10,Never-married,Machine-op-inspct,Other-relative,Black,Female,0,0,35,United-States,<=50K -67,Self-emp-inc,111321,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,16,United-States,<=50K -44,Private,278476,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -42,Private,39060,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -29,Local-gov,205262,Some-college,10,Never-married,Adm-clerical,Not-in-family,Other,Male,0,0,40,Ecuador,<=50K -48,Private,198000,Some-college,10,Never-married,Craft-repair,Unmarried,White,Female,0,0,38,United-States,>50K -25,Private,397962,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K -31,Private,178370,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,99,United-States,>50K -48,Private,121253,Bachelors,13,Married-spouse-absent,Sales,Unmarried,White,Female,0,2472,70,United-States,>50K -40,Private,56072,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K -26,Private,176756,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,60374,HS-grad,9,Married-civ-spouse,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -52,Private,165681,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -41,Self-emp-not-inc,287037,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -39,Self-emp-not-inc,55568,Bachelors,13,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,50,United-States,<=50K -48,Private,155509,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,16,Trinadad&Tobago,<=50K -19,Private,201178,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -27,Private,37250,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1651,40,United-States,<=50K -59,Private,314149,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,1740,50,United-States,<=50K -19,Private,264593,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -32,Private,159589,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K -39,Private,454915,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -33,Private,285131,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,150057,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,55390,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,45,United-States,<=50K -23,Private,314894,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,45,United-States,<=50K -59,?,184948,Assoc-voc,11,Divorced,?,Not-in-family,White,Male,0,0,48,United-States,<=50K -25,Local-gov,124483,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,20,India,<=50K -37,Self-emp-inc,97986,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,68,United-States,<=50K -31,Private,210562,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -24,Private,233280,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,37,United-States,<=50K -53,Local-gov,164300,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,Dominican-Republic,<=50K -26,Private,227489,Some-college,10,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,?,<=50K -25,Private,263773,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -59,Private,96459,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Federal-gov,116608,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Private,180007,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,305466,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,238917,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,El-Salvador,<=50K -25,Private,129784,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,367390,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -20,Private,235691,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K -63,?,166425,Some-college,10,Widowed,?,Not-in-family,Black,Female,0,0,24,United-States,<=50K -43,Self-emp-not-inc,160369,10th,6,Divorced,Farming-fishing,Unmarried,White,Male,0,0,25,United-States,<=50K -39,Private,206298,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,183523,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -17,Private,217342,10th,6,Never-married,Sales,Own-child,White,Female,0,0,5,United-States,<=50K -40,State-gov,141858,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,72,United-States,<=50K -50,Private,213296,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -23,Self-emp-inc,201682,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -60,Private,178312,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,65,United-States,>50K -30,Private,269723,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,200593,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,32616,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -24,Private,259510,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,30,United-States,<=50K -45,Self-emp-not-inc,271828,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -58,Self-emp-inc,78104,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,United-States,>50K -22,Private,113703,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,20,United-States,<=50K -41,Private,187802,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,440706,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -31,Private,191834,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -33,Private,149184,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -49,Self-emp-inc,315998,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -30,Private,159589,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -38,Private,60313,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -58,Local-gov,32855,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K -58,Private,142326,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -61,Self-emp-not-inc,201965,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,172333,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K -32,Private,206541,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -33,Self-emp-not-inc,177828,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -28,Private,303440,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -22,Private,89991,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,11,United-States,<=50K -35,Private,186009,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -59,Private,170988,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -45,Self-emp-inc,180239,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,7688,0,40,?,>50K -50,Self-emp-not-inc,213654,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,<=50K -56,Self-emp-inc,32316,12th,8,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,150371,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,?,387871,10th,6,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -28,Private,314649,Some-college,10,Married-civ-spouse,Sales,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K -42,Private,240255,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -60,Private,206339,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-inc,230168,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,91,United-States,<=50K -42,Private,171424,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,45,United-States,>50K -36,Private,148581,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -52,Local-gov,89705,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -42,Self-emp-not-inc,248406,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -26,Local-gov,72594,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,55,United-States,>50K -31,Local-gov,137537,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Private,225065,5th-6th,3,Separated,Sales,Unmarried,White,Female,0,0,40,Mexico,<=50K -35,Private,217274,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -19,Private,69151,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -59,Self-emp-not-inc,81107,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,80,United-States,>50K -38,Private,205852,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -36,Private,201117,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,397307,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -39,Private,115422,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -64,Private,114994,Some-college,10,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,Local-gov,39815,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -49,Private,151584,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,32,United-States,<=50K -19,Private,164938,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -36,Self-emp-not-inc,179896,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,3137,0,40,United-States,<=50K -26,Private,253841,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K -27,Private,177955,5th-6th,3,Never-married,Priv-house-serv,Other-relative,White,Female,2176,0,40,El-Salvador,<=50K -66,Private,113323,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,40,United-States,>50K -38,Private,320305,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,229287,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Female,0,0,25,United-States,<=50K -19,Private,100790,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,331419,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,4787,0,50,United-States,>50K -22,Private,171419,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,Asian-Pac-Islander,Male,0,0,40,South,<=50K -60,Private,202226,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,44,United-States,>50K -54,Private,308087,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,18,United-States,>50K -46,Private,220124,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,37,United-States,<=50K -33,State-gov,31703,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -51,Local-gov,153908,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,180599,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K -18,?,252046,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -60,Self-emp-inc,160062,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K -39,Self-emp-not-inc,148443,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -23,Private,91733,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,3325,0,40,United-States,<=50K -39,Private,176634,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Local-gov,74949,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,165484,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -24,Private,44738,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -32,Private,130040,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Self-emp-not-inc,234537,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -39,Private,179016,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -27,Private,335421,Masters,14,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -45,State-gov,312678,Masters,14,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,38,United-States,<=50K -22,?,313786,HS-grad,9,Divorced,?,Other-relative,Black,Female,0,0,40,United-States,<=50K -31,Private,198751,Bachelors,13,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K -63,Private,131519,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,285060,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -28,State-gov,189765,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K -23,Private,130905,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -50,Private,146325,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K -33,Private,102821,12th,8,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -22,?,137876,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,388998,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,13550,0,46,United-States,>50K -29,Private,82910,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,309122,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -60,Private,532845,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,>50K -46,Private,195833,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,?,<=50K -67,?,98882,Masters,14,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,?,133515,Some-college,10,Never-married,?,Own-child,White,Female,0,0,15,France,<=50K -23,Private,55215,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,55,United-States,<=50K -38,Self-emp-inc,176357,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -60,Private,185836,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -20,Self-emp-not-inc,54152,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,35,United-States,<=50K -37,Private,212437,Some-college,10,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,48,United-States,<=50K -37,Private,224566,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -58,Private,200040,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,41526,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,30,Canada,<=50K -27,Private,89598,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,60,United-States,<=50K -33,Private,323811,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K -43,State-gov,30824,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Federal-gov,181096,Some-college,10,Never-married,Tech-support,Own-child,Black,Male,0,0,20,United-States,<=50K -45,Private,217953,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K -44,Private,222635,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -52,?,121942,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,346871,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,4787,0,46,United-States,>50K -31,Private,184889,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,20,United-States,<=50K -18,Federal-gov,101709,11th,7,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,15,Philippines,<=50K -20,Private,125010,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -32,Private,53135,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,498328,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -46,Private,604380,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -28,Private,174327,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -27,Self-emp-not-inc,357283,HS-grad,9,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K -18,Federal-gov,280728,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,32,United-States,<=50K -69,Self-emp-not-inc,185039,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,9386,0,12,United-States,>50K -50,Self-emp-inc,251240,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -43,Private,143046,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Greece,<=50K -32,Private,210541,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -43,Private,172364,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Female,0,0,48,United-States,<=50K -52,Self-emp-not-inc,138611,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7688,0,55,United-States,>50K -50,Private,176227,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,>50K -35,Private,139647,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -20,?,174461,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,5,United-States,<=50K -73,?,123345,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,65,United-States,<=50K -46,Private,164427,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,45,United-States,<=50K -58,Private,205235,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -46,Self-emp-inc,192779,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K -40,Private,163434,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -25,Private,264055,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,336215,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -33,Federal-gov,78307,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -49,Federal-gov,233059,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,91433,10th,6,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -56,Local-gov,157525,Some-college,10,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,48,United-States,<=50K -24,Private,86065,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Female,0,0,40,Mexico,<=50K -42,Private,22831,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,180181,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,212617,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,66,Ecuador,<=50K -22,?,125905,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -35,Private,336793,Bachelors,13,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K -42,Private,314649,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Other-relative,Asian-Pac-Islander,Male,0,0,40,?,<=50K -22,Private,283969,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Mexico,<=50K -32,Self-emp-not-inc,35595,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,410240,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -66,Private,178120,5th-6th,3,Divorced,Priv-house-serv,Not-in-family,Black,Female,0,0,15,United-States,<=50K -26,State-gov,294400,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,<=50K -46,Private,65353,Some-college,10,Divorced,Transport-moving,Own-child,White,Male,3325,0,55,United-States,<=50K -55,Private,189719,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -24,Private,23438,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,178037,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K -22,Private,109815,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,197860,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,271933,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -54,Private,141663,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,15,United-States,<=50K -19,?,199609,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -56,Private,92215,9th,5,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,>50K -47,Private,93449,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,60,Japan,<=50K -29,Private,235393,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -53,Private,151864,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,189277,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -50,?,204577,Bachelors,13,Married-civ-spouse,?,Husband,Black,Male,0,1902,60,United-States,>50K -42,Private,344572,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K -21,Private,265356,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -36,Self-emp-inc,166880,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,70,United-States,<=50K -60,Private,188650,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,?,>50K -69,Private,213249,Assoc-voc,11,Widowed,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -31,Private,112627,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -48,Private,125120,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,55,United-States,<=50K -23,Private,60409,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,243190,Assoc-acdm,12,Separated,Craft-repair,Unmarried,Asian-Pac-Islander,Male,8614,0,40,United-States,>50K -47,Private,583755,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -36,Private,68089,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -39,Private,306646,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -22,Private,186573,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Female,0,0,46,United-States,<=50K -27,Private,279580,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,10520,0,45,United-States,>50K -36,Private,437909,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,420691,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -33,Federal-gov,94193,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Private,154076,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -52,Private,145879,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K -23,Private,208946,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,32,United-States,<=50K -33,Private,231826,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K -30,Private,178587,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -35,Private,213208,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,38,Jamaica,<=50K -35,?,139770,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,>50K -27,Private,153869,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,37,United-States,<=50K -24,Private,88676,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -44,Local-gov,151089,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,138621,Assoc-voc,11,Separated,Priv-house-serv,Not-in-family,Black,Female,0,0,20,United-States,<=50K -45,Private,30457,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -75,Self-emp-not-inc,213349,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -47,Private,192776,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -64,Private,192884,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -54,Private,103024,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Male,0,0,42,United-States,>50K -41,Federal-gov,510072,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -33,Private,178615,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,249956,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -51,Private,177705,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -45,Self-emp-inc,121124,Prof-school,15,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K -18,?,25837,11th,7,Never-married,?,Own-child,White,Male,0,0,72,United-States,<=50K -43,Private,557349,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Yugoslavia,<=50K -30,Private,89735,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,1504,40,United-States,<=50K -32,Private,222548,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -45,Private,47314,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,?,>50K -61,Private,316359,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,200089,1st-4th,2,Married-civ-spouse,Other-service,Other-relative,White,Male,0,0,40,England,<=50K -56,Private,271795,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,49,United-States,<=50K -28,Private,31801,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,60,United-States,<=50K -23,Private,196508,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,40,United-States,<=50K -55,Private,189933,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,84,United-States,<=50K -27,?,501172,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,419,20,Mexico,<=50K -33,Private,361497,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K -22,Private,150175,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -43,Local-gov,155106,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -32,Self-emp-not-inc,62272,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -38,Private,189916,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -18,Private,324011,9th,5,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K -35,Private,105803,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -67,?,53588,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,107998,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,340567,1st-4th,2,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,55,Mexico,<=50K -39,Private,167777,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -29,Private,228860,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K -45,Self-emp-inc,40666,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -44,Private,277488,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,40,United-States,>50K -42,Local-gov,195897,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,242984,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Local-gov,236497,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -18,?,312634,11th,7,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -64,Private,59829,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,France,<=50K -30,Private,24292,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -43,Local-gov,180407,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,42,Germany,<=50K -49,Self-emp-not-inc,121238,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -35,Private,281982,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -37,Self-emp-not-inc,348739,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -49,Private,194189,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -19,Private,329130,11th,7,Separated,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,205939,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,2202,0,4,United-States,<=50K -31,Private,62165,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -26,Private,224361,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,34722,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -38,Private,175972,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -33,Self-emp-not-inc,359428,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -24,?,138504,HS-grad,9,Separated,?,Unmarried,Black,Female,0,0,37,United-States,<=50K -18,Private,268952,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -32,Private,257978,Assoc-voc,11,Widowed,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -27,Private,118799,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,State-gov,78356,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,Jamaica,<=50K -30,Self-emp-not-inc,609789,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,123157,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,38,United-States,<=50K -74,Private,84197,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,0,10,United-States,<=50K -36,Private,162312,HS-grad,9,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,70,South,<=50K -36,Private,138441,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,55,United-States,<=50K -29,Private,239753,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,2057,20,United-States,<=50K -39,Private,262158,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -25,Self-emp-inc,133373,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,80,United-States,<=50K -21,Private,57916,HS-grad,9,Separated,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -39,State-gov,142897,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K -38,Private,161016,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K -20,Private,227491,HS-grad,9,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,25,United-States,<=50K -51,Private,306790,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,33831,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,188972,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,313546,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -38,Private,220585,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -25,Local-gov,476599,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,163665,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -36,Private,306646,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -41,Private,206470,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Germany,<=50K -34,Private,169583,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -19,State-gov,127085,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K -18,Private,152044,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,3,United-States,<=50K -36,Private,111387,10th,6,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,102318,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,40,United-States,>50K -29,Private,213692,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K -23,Private,163665,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,32,United-States,<=50K -35,Private,30529,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,290226,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,182136,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,73266,Some-college,10,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -19,State-gov,60412,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K -70,Private,187891,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,194304,Some-college,10,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,55,United-States,<=50K -35,Private,160910,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -25,Private,148300,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -39,Private,165743,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -50,Private,123174,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,37,?,>50K -43,Private,184018,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -37,Federal-gov,188069,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Philippines,>50K -51,Private,138852,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,7298,0,40,El-Salvador,>50K -29,?,78529,10th,6,Separated,?,Unmarried,White,Female,0,0,12,United-States,<=50K -20,Private,164441,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -21,Private,199419,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,181342,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,Black,Female,0,0,40,United-States,<=50K -44,Private,173382,Assoc-acdm,12,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -17,Private,184924,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,1719,15,United-States,<=50K -25,Private,215384,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,State-gov,424094,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Federal-gov,212120,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -42,Private,185764,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K -46,Local-gov,133969,Masters,14,Divorced,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -22,Private,32616,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -49,Private,149210,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -21,Private,161210,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -53,Private,285621,Masters,14,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -43,Private,282069,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,42,United-States,<=50K -22,Private,97508,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K -33,Private,356823,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,10520,0,45,United-States,>50K -28,Private,171133,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -25,Private,231638,Some-college,10,Never-married,Tech-support,Unmarried,White,Female,0,0,24,United-States,<=50K -40,Private,191342,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,China,>50K -50,Private,226497,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -48,Self-emp-not-inc,373606,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,65,United-States,>50K -30,Private,39150,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,288840,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,38,United-States,<=50K -34,Private,293703,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -42,Private,79586,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -48,Self-emp-not-inc,82098,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,65,United-States,<=50K -38,Private,245372,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K -29,Private,78261,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,355996,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -64,Private,218490,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,27828,0,55,United-States,>50K -44,Private,110908,Assoc-voc,11,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,25,United-States,<=50K -42,Federal-gov,34218,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K -49,Private,248895,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -25,Private,363707,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,272411,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,128033,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -20,Private,177287,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K -44,Private,197344,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -45,Private,285858,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -27,Self-emp-inc,193868,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -18,Private,232082,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,27408,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -45,Private,247043,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K -27,Local-gov,162404,HS-grad,9,Never-married,Protective-serv,Not-in-family,Black,Male,2174,0,40,United-States,<=50K -64,Private,236341,5th-6th,3,Widowed,Other-service,Not-in-family,Black,Female,0,0,16,United-States,<=50K -66,Local-gov,179285,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3432,0,20,United-States,<=50K -34,Private,30433,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -45,Self-emp-not-inc,102771,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -42,Self-emp-not-inc,221172,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,108116,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,United-States,>50K -26,Private,375499,10th,6,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,20,United-States,<=50K -27,Private,178688,Assoc-voc,11,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -21,Private,276709,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K -23,?,238087,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K -47,Private,84790,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,State-gov,37482,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -46,State-gov,178686,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -35,?,153926,HS-grad,9,Married-civ-spouse,?,Wife,Black,Female,0,0,40,United-States,<=50K -55,Private,110748,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K -28,Private,116613,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,24,United-States,<=50K -21,Private,108687,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -36,Private,365739,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,195284,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,>50K -38,Private,125933,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,>50K -37,Private,140854,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -81,Self-emp-not-inc,193237,1st-4th,2,Widowed,Sales,Other-relative,White,Male,0,0,45,Mexico,<=50K -41,Private,46870,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,351324,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -30,Self-emp-not-inc,189265,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,236564,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Federal-gov,557644,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,374454,HS-grad,9,Divorced,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -65,?,160654,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -18,Private,122775,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -26,Private,214413,11th,7,Never-married,Machine-op-inspct,Unmarried,White,Male,6497,0,48,United-States,<=50K -30,Private,329425,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,48,United-States,<=50K -61,Private,178312,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,<=50K -21,Private,241951,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -53,Private,130143,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -41,Self-emp-inc,114580,Prof-school,15,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,2415,55,United-States,>50K -43,Self-emp-inc,130126,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -60,Private,399387,7th-8th,4,Separated,Priv-house-serv,Unmarried,Black,Female,0,0,15,United-States,<=50K -47,Private,163814,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,69586,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -32,Private,237903,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -25,?,219897,Masters,14,Never-married,?,Not-in-family,White,Female,0,0,35,Canada,<=50K -31,Private,243165,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -33,State-gov,173806,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -27,Self-emp-not-inc,65308,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -44,Private,408531,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,>50K -44,Private,235786,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,45,United-States,>50K -37,Private,314963,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,81206,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -51,Federal-gov,293196,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -51,Private,95329,Masters,14,Divorced,Protective-serv,Unmarried,White,Male,0,0,40,United-States,<=50K -25,Local-gov,45474,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -25,Private,372728,Bachelors,13,Never-married,Other-service,Not-in-family,Black,Female,0,0,24,Jamaica,<=50K -29,Federal-gov,116394,Bachelors,13,Married-AF-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -36,Self-emp-not-inc,34180,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,70,United-States,>50K -55,Private,327589,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,706180,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -31,Private,32550,10th,6,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,173858,Prof-school,15,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K -51,Self-emp-inc,230095,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -30,Private,139012,Assoc-voc,11,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Male,2463,0,40,Vietnam,<=50K -62,Private,174711,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K -37,Private,171150,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,60,United-States,>50K -30,Self-emp-inc,77689,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K -27,Private,193898,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,52,United-States,<=50K -32,Private,195000,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,45,United-States,>50K -23,Private,303121,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -35,Self-emp-not-inc,188540,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,158656,Assoc-acdm,12,Never-married,Prof-specialty,Unmarried,White,Female,0,0,36,United-States,<=50K -45,Self-emp-inc,204196,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,>50K -27,Private,183802,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,148995,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -22,Private,190903,11th,7,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K -37,State-gov,173780,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,30,United-States,<=50K -42,Private,251239,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Puerto-Rico,<=50K -45,Private,112761,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -33,State-gov,425785,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,197731,Assoc-voc,11,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K -24,Private,119156,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,50,United-States,<=50K -56,Private,133819,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,185556,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,12,United-States,>50K -50,Private,109277,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -48,Self-emp-inc,36020,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -45,Private,45857,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,36,United-States,<=50K -55,Private,184882,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,50,United-States,>50K -41,State-gov,342834,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -66,Private,234743,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,24,United-States,<=50K -29,Federal-gov,106179,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,1408,40,United-States,<=50K -37,Private,177895,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,5013,0,40,United-States,<=50K -63,?,257876,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,86067,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -64,Private,66634,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,27828,0,50,United-States,>50K -35,Private,138441,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,35,United-States,<=50K -22,Private,279802,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -58,Private,407138,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2936,0,50,Mexico,<=50K -58,Private,31732,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -24,Private,204172,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,48,United-States,<=50K -34,Private,100593,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,6,United-States,<=50K -33,Local-gov,162623,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -33,Self-emp-not-inc,80933,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K -17,Private,47425,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -27,Private,107812,Bachelors,13,Married-civ-spouse,Sales,Other-relative,White,Male,0,0,40,United-States,>50K -20,Self-emp-inc,104443,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -52,Private,117496,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,1755,40,United-States,>50K -30,Private,209691,7th-8th,4,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,Private,314525,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,190772,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -64,Local-gov,199298,5th-6th,3,Divorced,Other-service,Not-in-family,White,Female,0,0,45,?,<=50K -49,Private,187370,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K -38,Private,216129,Bachelors,13,Divorced,Other-service,Not-in-family,Black,Female,0,0,60,?,<=50K -46,Federal-gov,219293,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,80,United-States,>50K -17,Private,136363,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -45,Private,233799,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -27,Private,207611,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -45,Self-emp-inc,178344,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K -26,Self-emp-inc,187652,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,78,United-States,>50K -23,Private,188545,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,1974,20,United-States,<=50K -44,Local-gov,58124,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,45,United-States,<=50K -36,Private,321733,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,1741,40,United-States,<=50K -35,Private,206253,9th,5,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,?,152140,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -56,Private,76281,Bachelors,13,Married-spouse-absent,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Private,606752,Masters,14,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -32,Private,29933,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,>50K -29,Private,114158,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,3325,0,10,United-States,<=50K -55,?,227203,Assoc-acdm,12,Married-spouse-absent,?,Not-in-family,White,Female,0,0,5,United-States,<=50K -35,Self-emp-inc,65624,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -37,Private,34146,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,68,United-States,<=50K -36,Self-emp-not-inc,34378,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,3908,0,75,United-States,<=50K -33,Private,141490,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,45,United-States,<=50K -34,Private,199227,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K -24,Private,224954,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,231357,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Self-emp-inc,113530,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -38,Private,22245,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,36383,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Mexico,>50K -35,Private,320305,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K -67,?,201657,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,60,United-States,<=50K -34,Private,48935,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -46,Private,101455,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -19,Local-gov,243960,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K -26,Private,90915,Assoc-acdm,12,Never-married,Other-service,Own-child,Black,Female,0,0,15,United-States,<=50K -28,Private,315287,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -47,Private,106255,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Local-gov,215895,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Italy,>50K -33,Self-emp-not-inc,170979,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -44,Private,210525,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -30,Private,195488,HS-grad,9,Never-married,Priv-house-serv,Own-child,White,Female,0,0,40,Guatemala,<=50K -18,Private,152246,Some-college,10,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,16,United-States,<=50K -60,Self-emp-not-inc,187794,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,60,United-States,>50K -44,Private,110396,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,14084,0,56,United-States,>50K -81,?,89391,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,>50K -43,State-gov,254817,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,41777,12th,8,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,20,United-States,<=50K -58,Self-emp-not-inc,234841,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K -32,Private,79586,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K -40,Private,115331,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K -32,Private,63564,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -21,Private,132053,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,1721,35,United-States,<=50K -44,Private,370502,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,Mexico,<=50K -33,Private,59083,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,45,United-States,>50K -25,Private,69413,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -42,Private,32981,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,176683,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -62,?,144116,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -31,Self-emp-not-inc,209213,HS-grad,9,Never-married,Sales,Not-in-family,Black,Male,0,0,40,?,<=50K -33,State-gov,150657,Bachelors,13,Never-married,Prof-specialty,Other-relative,Black,Female,0,0,40,United-States,<=50K -50,Self-emp-not-inc,124793,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -50,Private,22211,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K -46,Private,270565,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -22,Private,38251,Assoc-acdm,12,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K -66,State-gov,162945,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,Black,Male,20051,0,55,United-States,>50K -52,Private,195638,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K -57,Self-emp-not-inc,118806,1st-4th,2,Widowed,Craft-repair,Other-relative,White,Female,0,1602,45,Columbia,<=50K -41,Self-emp-not-inc,44006,Assoc-voc,11,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,119679,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1579,42,United-States,<=50K -19,Private,333953,12th,8,Never-married,Other-service,Other-relative,White,Female,0,0,30,United-States,<=50K -45,Local-gov,172111,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,60,United-States,<=50K -51,Self-emp-not-inc,32372,12th,8,Married-civ-spouse,Other-service,Husband,White,Male,0,0,99,United-States,<=50K -69,?,117525,Assoc-acdm,12,Divorced,?,Unmarried,White,Female,0,0,1,United-States,<=50K -45,Self-emp-not-inc,123681,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -48,Private,317360,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -60,Federal-gov,119832,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K -42,Private,135056,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -19,State-gov,135162,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -39,Self-emp-not-inc,194004,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K -46,Private,177633,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -58,Local-gov,212864,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,3908,0,40,United-States,<=50K -36,Private,30509,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K -21,Private,118712,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K -41,Private,199018,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -17,Private,151799,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -29,Private,181280,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -52,Private,232024,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -33,Private,226267,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Mexico,<=50K -38,Private,240467,Masters,14,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,35,United-States,<=50K -42,Private,154374,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -24,State-gov,231473,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,United-States,<=50K -59,Private,158813,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -36,Private,346478,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2415,45,United-States,>50K -54,Private,215990,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,7688,0,40,United-States,>50K -39,Private,177154,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -42,Self-emp-not-inc,238188,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,96,United-States,<=50K -54,Self-emp-not-inc,156800,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,130620,Assoc-acdm,12,Married-spouse-absent,Craft-repair,Other-relative,Asian-Pac-Islander,Female,0,0,40,?,<=50K -50,Private,175339,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -42,Private,37937,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K -48,Federal-gov,166634,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,40,United-States,>50K -31,Private,221167,Bachelors,13,Widowed,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -56,Private,179641,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -28,Local-gov,213195,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -34,Private,157747,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -28,Private,227840,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Private,169104,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K -44,Private,186916,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,60,United-States,>50K -34,Private,37646,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K -26,Private,157028,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K -37,Private,188774,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,2824,40,United-States,>50K -64,?,146272,Some-college,10,Married-civ-spouse,?,Husband,White,Male,3411,0,15,United-States,<=50K -25,Private,182656,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -48,Self-emp-not-inc,200471,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,358465,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,78602,11th,7,Never-married,Other-service,Other-relative,White,Female,0,0,20,United-States,<=50K -44,Private,213416,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -46,Local-gov,345911,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K -32,?,119522,Bachelors,13,Divorced,?,Not-in-family,White,Male,0,0,50,United-States,<=50K -42,Federal-gov,126320,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -33,Self-emp-not-inc,235271,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -61,Private,141745,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K -47,Private,359461,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,109351,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,8614,0,45,United-States,>50K -62,Private,148113,10th,6,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -62,Self-emp-not-inc,75478,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,100375,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K -19,?,28455,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -33,Private,231413,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -39,Local-gov,119421,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,42,United-States,<=50K -17,Private,206998,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K -58,Private,183810,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -35,Self-emp-inc,187053,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -34,Local-gov,155781,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,4064,0,50,United-States,<=50K -55,?,193895,7th-8th,4,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,48520,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,Self-emp-inc,170125,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,107584,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,196742,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -52,?,244214,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K -48,Local-gov,127921,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,42617,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K -47,Local-gov,191389,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -38,Private,187983,Prof-school,15,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K -18,Private,215110,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K -25,Private,230292,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,90159,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,32,United-States,>50K -40,Private,175398,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -56,Self-emp-not-inc,53366,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -50,Private,46155,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K -55,Private,61708,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,6418,0,50,United-States,>50K -32,Local-gov,112650,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,173682,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,>50K -28,Private,160981,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,52,United-States,<=50K -53,Private,72257,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -26,?,182332,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K -60,Local-gov,48788,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,5455,0,55,United-States,<=50K -21,Private,417668,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -29,Private,107458,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -73,Private,147551,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2174,50,United-States,>50K -43,Self-emp-inc,33729,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -45,Private,101977,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -35,?,374716,9th,5,Married-civ-spouse,?,Wife,White,Female,0,0,35,United-States,<=50K -36,Private,214378,HS-grad,9,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,>50K -25,Private,111243,HS-grad,9,Never-married,Sales,Other-relative,White,Female,0,0,50,United-States,<=50K -38,Private,252947,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K -30,Local-gov,118500,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,195612,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K -41,Local-gov,174575,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,190391,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -64,Private,166715,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K -41,Self-emp-not-inc,142725,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -37,Private,73471,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,47,United-States,>50K -51,Private,241745,5th-6th,3,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,Mexico,<=50K -35,Private,316141,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,7443,0,40,United-States,<=50K -61,Local-gov,248595,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -52,Private,90189,7th-8th,4,Divorced,Priv-house-serv,Own-child,Black,Female,0,0,16,United-States,<=50K -40,Private,205195,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -20,Private,148940,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -52,Local-gov,298035,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,154728,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -49,Private,166809,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K -36,State-gov,97136,Bachelors,13,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K -33,Private,347623,Masters,14,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K -40,Private,117917,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K -45,Private,266860,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -22,Private,71864,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,35,United-States,<=50K -47,Private,158451,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,2,United-States,>50K -24,Private,229826,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K -19,Private,121788,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K -40,Private,151365,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -40,Private,360884,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,50,United-States,>50K -54,Private,36480,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K -43,Self-emp-not-inc,116666,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,35,United-States,>50K -63,Local-gov,214143,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Cuba,<=50K -18,Private,45316,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -19,Private,311974,1st-4th,2,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K -49,Self-emp-not-inc,48495,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -27,Private,115945,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -49,Local-gov,170846,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -60,Private,142922,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -71,?,181301,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,286675,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,233168,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,46,United-States,>50K -30,Private,177304,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K -46,Private,336984,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,17,United-States,<=50K -32,Self-emp-not-inc,379412,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,180778,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,75,United-States,<=50K -25,Private,141876,Masters,14,Never-married,Prof-specialty,Unmarried,White,Male,0,0,45,?,<=50K -22,Private,228306,Some-college,10,Married-AF-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K -32,Private,329993,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -40,Private,247469,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,>50K -51,Private,673764,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,27828,0,40,United-States,>50K -20,Private,155775,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K -34,Private,81223,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,48,United-States,<=50K -40,Private,236021,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -34,State-gov,103371,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,199480,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -53,Private,152657,10th,6,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -42,Federal-gov,460214,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -38,Private,91039,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -41,Private,197372,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -64,?,267198,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K -30,State-gov,111883,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,66917,11th,7,Married-civ-spouse,Farming-fishing,Own-child,White,Male,0,0,40,Mexico,<=50K -19,Private,292583,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -20,Private,391679,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,60,United-States,<=50K -35,Private,475324,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -33,Self-emp-not-inc,218164,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,101534,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,15,United-States,>50K -38,Federal-gov,65706,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K -50,Self-emp-not-inc,156606,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,<=50K -23,Private,200967,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -30,Local-gov,164493,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K -33,Private,547886,Bachelors,13,Separated,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -48,Private,232145,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,96421,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,24,Outlying-US(Guam-USVI-etc),<=50K -33,Private,554206,Some-college,10,Never-married,Tech-support,Not-in-family,Black,Male,0,0,40,Philippines,<=50K -50,Local-gov,234143,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,45,United-States,>50K -23,Private,380544,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -36,Local-gov,103886,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -50,State-gov,54709,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,46,United-States,<=50K -26,Private,276548,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,20,United-States,<=50K -55,Local-gov,176046,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,2267,40,United-States,<=50K -37,Private,114605,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,323713,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,261382,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,223548,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,Mexico,<=50K -47,Self-emp-not-inc,355978,Doctorate,16,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2002,45,United-States,<=50K -44,Private,107218,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -28,Self-emp-not-inc,31717,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,328947,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Private,148431,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,121602,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,244087,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K -31,Private,83425,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -29,Private,157308,11th,7,Married-civ-spouse,Handlers-cleaners,Wife,Asian-Pac-Islander,Female,2829,0,14,Philippines,<=50K -23,Private,57898,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,30,United-States,<=50K -40,State-gov,175304,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -66,Self-emp-inc,102663,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -17,Private,99175,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -37,Private,208358,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -69,Private,361561,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,3,United-States,<=50K -23,Private,215115,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Federal-gov,207066,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K -37,Federal-gov,160910,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,64879,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,430035,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,54,Mexico,<=50K -37,State-gov,74163,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -37,Self-emp-inc,98389,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -23,Private,386019,9th,5,Never-married,Farming-fishing,Unmarried,White,Male,0,0,70,United-States,<=50K -17,Private,112795,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -48,Private,332465,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K -17,Private,38611,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,23,United-States,<=50K -55,Private,368797,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K -35,Private,24106,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -68,?,108683,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,12,United-States,>50K -35,Self-emp-not-inc,241998,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -53,Private,312446,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -43,Private,69333,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -36,Private,172538,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,275884,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -45,Private,43479,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K -34,Private,199864,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,2057,40,United-States,<=50K -56,Private,235197,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -36,Private,170376,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -22,Private,325179,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,United-States,<=50K -19,?,351195,9th,5,Never-married,?,Other-relative,White,Male,0,1719,35,El-Salvador,<=50K -33,Private,141841,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,36,United-States,<=50K -48,Private,207817,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,32,Columbia,<=50K -20,Private,137974,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -64,Self-emp-inc,161325,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,1887,50,United-States,>50K -47,Private,293623,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Dominican-Republic,<=50K -20,Private,37783,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -44,Federal-gov,308027,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -45,Self-emp-not-inc,149218,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,77,United-States,<=50K -45,Local-gov,374450,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,5178,0,40,United-States,>50K -45,Local-gov,61885,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,37,United-States,>50K -27,State-gov,291196,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -41,Private,45366,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,United-States,>50K -20,Private,203027,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,55,United-States,<=50K -54,Self-emp-inc,223752,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,?,>50K -17,Private,132680,10th,6,Never-married,Other-service,Own-child,White,Female,0,1602,10,United-States,<=50K -50,Private,155574,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -31,State-gov,193565,Masters,14,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,123598,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -44,Private,456236,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -49,Private,163229,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -28,Local-gov,419740,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,52,United-States,<=50K -43,Local-gov,118853,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,4386,0,99,United-States,>50K -33,Private,31449,Assoc-acdm,12,Divorced,Machine-op-inspct,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -35,Private,204163,Some-college,10,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,55,United-States,<=50K -17,Private,177629,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -25,Private,186370,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,188307,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,55481,Masters,14,Never-married,Tech-support,Unmarried,White,Male,0,0,45,Nicaragua,<=50K -48,Private,119471,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,56,Philippines,>50K -61,Local-gov,167347,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K -41,Private,184378,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,348960,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K -24,Local-gov,69640,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,297457,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K -18,Private,279593,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,2,United-States,<=50K -20,Private,211968,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K -18,Private,194561,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K -23,Private,140414,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,State-gov,24763,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,45,United-States,>50K -38,State-gov,462832,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,Trinadad&Tobago,<=50K -36,Private,48972,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Self-emp-not-inc,35032,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -47,Private,228583,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K -51,Private,392668,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,84,United-States,>50K -35,Private,108140,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,State-gov,112497,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K -47,Federal-gov,142581,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K -26,Private,147982,11th,7,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,State-gov,440129,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K -46,Private,200734,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,35,Trinadad&Tobago,<=50K -49,Private,31807,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,166153,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -45,Self-emp-inc,212954,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -46,Private,52291,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K -70,Self-emp-not-inc,303588,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,<=50K -19,Private,96176,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -46,Private,184632,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -20,Private,137618,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,35,United-States,<=50K -17,Private,160029,11th,7,Never-married,Other-service,Other-relative,White,Female,0,0,22,United-States,<=50K -43,Private,178780,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,49,United-States,>50K -19,Private,39756,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -37,Private,35309,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,117253,HS-grad,9,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Local-gov,303212,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -24,Private,214542,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,60,Canada,<=50K -31,Private,342019,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -59,Private,126668,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,50,United-States,>50K -27,Private,401508,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -40,Private,25005,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,99,United-States,>50K -30,Self-emp-not-inc,85708,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,115677,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Male,0,0,32,United-States,<=50K -25,Private,144259,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,50,United-States,<=50K -22,Private,197583,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K -21,State-gov,142766,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -67,?,132626,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K -35,Self-emp-inc,185621,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,>50K -54,Local-gov,29887,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,56,United-States,<=50K -36,Private,117381,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,211482,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -32,Federal-gov,90653,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,1380,40,United-States,<=50K -55,Private,209535,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -56,Federal-gov,187873,Masters,14,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -19,Private,174732,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,25,United-States,<=50K -36,Private,297847,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,2001,40,United-States,<=50K -58,Private,110213,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K -35,Private,162601,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,108438,10th,6,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -40,Self-emp-inc,132222,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,174394,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -71,Self-emp-not-inc,322789,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Amer-Indian-Eskimo,Male,0,0,35,United-States,<=50K -51,Federal-gov,72436,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,57,United-States,>50K -27,?,60726,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -20,Private,190273,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -33,?,393376,11th,7,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,140571,Assoc-voc,11,Divorced,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -28,Private,584790,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -23,Private,197666,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,24,Greece,<=50K -36,Private,245090,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,50,El-Salvador,<=50K -42,Private,192569,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,39,United-States,>50K -31,Local-gov,158291,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,8614,0,40,United-States,>50K -19,?,113915,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,10,United-States,<=50K -38,Local-gov,287658,Masters,14,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,Jamaica,<=50K -22,Private,192455,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -36,Private,317040,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,54,United-States,<=50K -36,Private,218689,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,1977,50,United-States,>50K -17,Private,116626,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,1719,18,United-States,<=50K -30,Federal-gov,48458,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -35,Self-emp-not-inc,241469,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,2635,0,30,United-States,<=50K -32,Private,167990,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,14084,0,40,United-States,>50K -42,Private,261929,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K -54,Private,425804,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K -36,Private,33394,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,35,United-States,>50K -58,Private,72812,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,89040,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -62,Local-gov,164518,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -51,Private,182740,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -52,Private,361875,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -25,Private,197130,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -26,Private,340335,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,293984,10th,6,Married-civ-spouse,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -59,State-gov,261584,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,Outlying-US(Guam-USVI-etc),<=50K -21,Private,170302,HS-grad,9,Never-married,Farming-fishing,Other-relative,White,Male,0,0,50,United-States,<=50K -45,Private,481987,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,18,United-States,>50K -26,Private,88449,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K -68,Self-emp-not-inc,261897,10th,6,Widowed,Farming-fishing,Unmarried,White,Male,0,0,20,United-States,<=50K -60,Private,250552,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -65,Private,88513,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,18,United-States,<=50K -41,Private,168293,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -34,Private,283921,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -28,Private,407043,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -40,Private,63745,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -57,Private,49893,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -37,Private,241962,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -34,Private,338416,10th,6,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,60,United-States,<=50K -21,?,212888,11th,7,Married-civ-spouse,?,Wife,White,Female,0,0,56,United-States,<=50K -57,Federal-gov,310320,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,>50K -55,Private,359972,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K -51,Private,64643,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,?,<=50K -56,Private,125000,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -32,Private,286675,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -18,Private,165532,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K -48,Private,349986,Assoc-voc,11,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,213140,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -41,Federal-gov,219155,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,India,>50K -33,Private,183612,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K -33,Private,391114,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,219632,5th-6th,3,Married-spouse-absent,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K -46,Self-emp-inc,320124,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,Amer-Indian-Eskimo,Female,15024,0,40,United-States,>50K -40,Private,799281,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K -42,Private,657397,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -31,State-gov,373432,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,55,United-States,>50K -51,Private,168660,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,191149,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,57,United-States,<=50K -37,Private,356824,HS-grad,9,Separated,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -25,Private,191782,11th,7,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K -63,Self-emp-not-inc,29859,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,7688,0,60,United-States,>50K -52,Private,204226,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -42,Local-gov,246862,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,3325,0,40,United-States,<=50K -28,Private,496526,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -30,Private,426431,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,10520,0,40,United-States,>50K -34,Private,84154,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -37,Federal-gov,45937,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -31,Private,130021,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -35,Private,63021,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K -25,Private,367306,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -38,Private,65624,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Self-emp-not-inc,144928,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K -22,Private,117747,Some-college,10,Never-married,Craft-repair,Other-relative,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -18,Private,266681,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -26,Private,152035,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,190023,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -43,Private,233130,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K -21,Private,149637,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -62,Federal-gov,224277,Some-college,10,Widowed,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,121559,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,Self-emp-not-inc,230951,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -18,Private,345285,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -65,Self-emp-not-inc,28367,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -41,Private,320744,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,3325,0,50,United-States,<=50K -31,Private,243773,9th,5,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -56,Private,151474,9th,5,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Private,135465,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -22,Private,210781,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -36,Local-gov,359001,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,<=50K -48,Private,119471,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K -30,Private,226396,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K -35,Private,283122,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K -37,Self-emp-not-inc,326400,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -32,?,169186,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,5,United-States,<=50K -56,Private,158752,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K -29,?,208406,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,35,United-States,<=50K -41,Private,96741,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K -38,State-gov,255191,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,177733,9th,5,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,35,Dominican-Republic,<=50K -54,State-gov,137815,12th,8,Never-married,Other-service,Own-child,White,Male,4101,0,40,United-States,<=50K -36,?,187203,Assoc-voc,11,Divorced,?,Own-child,White,Male,0,0,50,United-States,<=50K -42,Private,168515,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,122672,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -21,Private,195199,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K -69,Local-gov,179813,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,10,United-States,<=50K -32,Private,178623,Assoc-acdm,12,Never-married,Sales,Not-in-family,Black,Female,0,0,46,Trinadad&Tobago,<=50K -50,Private,41890,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,373050,12th,8,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -45,Private,80430,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -31,Private,198613,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K -24,Private,330571,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K -28,Private,209205,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K -21,Private,132243,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,5,United-States,<=50K -43,Self-emp-not-inc,237670,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,25,United-States,<=50K -22,Private,193586,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -62,Self-emp-not-inc,197353,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K -21,Self-emp-not-inc,74538,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,25,United-States,<=50K -37,Private,89718,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -34,Private,93169,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -74,Self-emp-not-inc,292915,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1825,12,United-States,>50K -43,Private,328570,Some-college,10,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,38,United-States,<=50K -25,Private,312157,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,193459,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,236804,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,126223,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -51,State-gov,172281,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K -64,Private,153894,Bachelors,13,Never-married,Sales,Unmarried,White,Female,0,0,40,Peru,<=50K -35,Private,331395,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -69,Self-emp-not-inc,92472,10th,6,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,3273,0,45,United-States,<=50K -32,Private,318647,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -20,Private,332931,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K -66,Self-emp-inc,76212,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -31,Private,301168,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Italy,<=50K -22,Private,440969,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K -32,Private,154950,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,218343,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -21,Private,239577,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,247936,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,2,Taiwan,<=50K -62,Local-gov,203525,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,40,United-States,<=50K -24,Private,182342,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,25649,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,50,United-States,>50K -27,Private,243569,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3942,0,40,United-States,<=50K -38,Private,187870,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,90,United-States,>50K -20,?,289116,Some-college,10,Never-married,?,Own-child,White,Female,0,0,5,United-States,<=50K -30,Private,487330,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,United-States,<=50K -17,?,34019,10th,6,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -17,?,250541,11th,7,Never-married,?,Own-child,Black,Male,0,0,8,United-States,<=50K -21,Self-emp-not-inc,318987,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -56,Self-emp-not-inc,140558,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -59,Local-gov,303455,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,4787,0,60,United-States,>50K -37,Self-emp-not-inc,76855,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -52,Private,308764,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -50,Federal-gov,339905,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -55,Private,227856,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,United-States,>50K -55,Private,156430,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -45,?,98265,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -72,Private,116640,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,3471,0,20,United-States,<=50K -39,Private,187167,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,184078,12th,8,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,108140,Bachelors,13,Divorced,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K -44,Private,150533,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,1876,55,United-States,<=50K -51,Self-emp-not-inc,313702,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,39803,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,1719,36,United-States,<=50K -25,Private,252752,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Female,0,0,45,United-States,<=50K -52,Private,111700,Some-college,10,Divorced,Sales,Other-relative,White,Female,0,0,20,United-States,>50K -45,Private,361842,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -17,Private,231438,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K -20,Private,178469,HS-grad,9,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,15,?,<=50K -64,Local-gov,116620,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K -34,Private,112212,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1485,40,United-States,<=50K -74,Self-emp-not-inc,109101,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,4,United-States,<=50K -58,Federal-gov,72998,11th,7,Divorced,Craft-repair,Not-in-family,Black,Female,14084,0,40,United-States,>50K -44,Private,147265,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -23,State-gov,314645,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -23,Private,444554,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K -27,Private,129629,Assoc-voc,11,Never-married,Tech-support,Other-relative,White,Female,0,0,36,United-States,<=50K -34,Private,106761,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -18,Private,189924,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K -33,Private,311194,11th,7,Never-married,Sales,Unmarried,Black,Female,0,0,17,United-States,<=50K -50,Self-emp-not-inc,89737,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -47,Private,49298,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -50,Self-emp-inc,190333,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,55,United-States,>50K -18,Private,251923,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -49,Local-gov,298445,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,60,United-States,>50K -34,Private,180284,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K -51,Private,154342,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K -56,State-gov,68658,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -64,Private,203783,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,8,United-States,<=50K -23,Private,250037,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,50,United-States,<=50K -33,Private,158688,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,214781,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -60,Federal-gov,404023,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,10520,0,40,United-States,>50K -57,State-gov,109015,12th,8,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,194630,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -23,Private,239375,Bachelors,13,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -54,Private,35576,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,2415,50,United-States,>50K -39,Federal-gov,363630,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,7688,0,52,United-States,>50K -32,Self-emp-not-inc,182926,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,117222,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,15,United-States,<=50K -30,Private,110643,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,52,United-States,<=50K -56,Self-emp-not-inc,170217,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K -34,Private,193285,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,161075,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -59,Private,322691,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -19,Private,229431,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,11,United-States,<=50K -60,?,106282,9th,5,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,105694,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,42,United-States,<=50K -24,Private,199883,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -41,State-gov,100800,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -23,Private,256278,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Other-relative,Other,Female,0,0,30,El-Salvador,<=50K -32,Private,156464,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,50,United-States,>50K -51,Self-emp-inc,129525,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,40,?,<=50K -18,Private,285013,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,10,United-States,<=50K -28,Private,248911,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,?,<=50K -33,?,369386,Some-college,10,Married-civ-spouse,?,Wife,White,Female,5178,0,40,United-States,>50K -38,Private,219902,HS-grad,9,Separated,Transport-moving,Unmarried,Black,Female,0,0,30,United-States,<=50K -29,Private,375482,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,England,<=50K -25,Private,169124,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -31,Private,183000,Prof-school,15,Never-married,Tech-support,Not-in-family,White,Male,0,0,55,United-States,<=50K -34,Private,28053,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -34,Private,242984,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,45,United-States,>50K -66,State-gov,132055,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1825,40,United-States,>50K -41,Private,212894,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Guatemala,<=50K -62,Private,223975,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -58,Private,357788,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -40,Private,406811,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,Canada,<=50K -24,Private,154422,Bachelors,13,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -47,Private,140644,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -19,Private,355477,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,25,United-States,<=50K -32,Private,151773,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -51,State-gov,341548,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,512771,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -60,?,141580,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,48988,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,201022,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K -20,Private,82777,HS-grad,9,Married-civ-spouse,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,152676,7th-8th,4,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,Puerto-Rico,<=50K -18,Private,115815,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,20,United-States,<=50K -23,Private,168009,10th,6,Married-civ-spouse,Machine-op-inspct,Own-child,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -28,Private,213152,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,?,>50K -55,Private,89690,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -40,Private,126868,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -52,Private,95128,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -37,Private,185567,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,>50K -21,Private,301408,Some-college,10,Never-married,Sales,Own-child,White,Female,0,1602,22,United-States,<=50K -35,Private,216256,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K -45,Private,182541,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,48,United-States,<=50K -39,Private,172855,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -54,Private,68684,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -42,Private,364832,7th-8th,4,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,?,264300,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K -59,Self-emp-inc,349910,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,276218,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -22,Private,251196,Some-college,10,Never-married,Protective-serv,Own-child,Black,Female,0,0,20,United-States,<=50K -33,Private,196898,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,58343,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -18,Self-emp-inc,101061,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,70,United-States,<=50K -46,Private,415051,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,>50K -24,Private,174043,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,129460,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,30,Ecuador,<=50K -21,State-gov,110946,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,43,United-States,<=50K -22,Private,313873,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K -61,Private,81132,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,7298,0,40,Philippines,>50K -56,Federal-gov,255386,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K -21,Private,191497,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -17,Private,128617,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,26,United-States,<=50K -29,Private,368949,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,?,>50K -28,Local-gov,263600,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -62,Private,257277,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -39,Private,339442,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Male,2176,0,40,United-States,<=50K -30,Local-gov,289442,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,?,162667,11th,7,Never-married,?,Unmarried,White,Male,0,0,40,El-Salvador,<=50K -18,Local-gov,466325,11th,7,Never-married,Adm-clerical,Own-child,White,Male,0,0,12,United-States,<=50K -54,Private,142169,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -49,Private,252079,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -33,State-gov,119628,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,Hong,<=50K -50,Private,175804,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -57,Private,70720,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,78,United-States,<=50K -50,State-gov,201513,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -45,Private,257609,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -41,Private,124692,Some-college,10,Married-civ-spouse,Exec-managerial,Own-child,White,Male,0,0,40,United-States,>50K -23,Private,268525,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -23,Private,250630,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,180277,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Hungary,<=50K -39,Self-emp-not-inc,191342,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,South,<=50K -29,Private,250967,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,48,United-States,>50K -46,Private,153254,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -18,Private,362600,5th-6th,3,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -68,Private,171933,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -62,Private,211408,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -43,Private,48193,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,22463,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,440969,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -21,State-gov,164922,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -41,Local-gov,134524,Assoc-voc,11,Divorced,Craft-repair,Unmarried,White,Female,0,0,45,United-States,<=50K -61,Private,176689,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,220993,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -21,Private,512828,HS-grad,9,Never-married,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K -36,State-gov,422275,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K -37,Local-gov,65291,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -69,Private,197080,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,9386,0,60,United-States,>50K -49,Federal-gov,181657,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -55,Private,190257,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,53,United-States,>50K -21,Private,238068,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,337046,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,187248,HS-grad,9,Married-civ-spouse,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -20,?,250037,Some-college,10,Never-married,?,Own-child,White,Female,0,0,18,?,<=50K -46,Private,285750,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,4064,0,55,United-States,<=50K -23,Private,260617,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,216999,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -36,Private,531055,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,48,United-States,>50K -42,State-gov,121265,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Local-gov,184466,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -45,Private,297676,Assoc-acdm,12,Widowed,Sales,Unmarried,White,Female,0,0,40,Cuba,<=50K -52,Private,114228,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K -22,Local-gov,121144,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,18,United-States,<=50K -20,Private,26842,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,2176,0,40,United-States,<=50K -27,Private,113054,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,43,United-States,<=50K -36,Private,256636,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,152246,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,52,United-States,<=50K -38,Private,108140,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -20,?,203353,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -47,Private,207207,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K -21,Private,115420,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -33,Private,80058,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Local-gov,48520,Assoc-acdm,12,Never-married,Protective-serv,Unmarried,White,Male,0,0,40,United-States,<=50K -61,Private,411652,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K -46,Private,154405,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,45,United-States,<=50K -55,Local-gov,104917,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -19,State-gov,261422,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -39,Private,48915,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -61,Private,172037,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,144833,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,275116,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -61,?,72886,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,38,United-States,>50K -61,Private,103575,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,37,United-States,<=50K -54,Private,200783,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -50,Self-emp-inc,152810,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,70,Germany,<=50K -37,Local-gov,44694,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K -17,?,48703,11th,7,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -56,Private,91905,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,4,United-States,<=50K -31,Private,168906,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K -32,State-gov,147215,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,>50K -28,Private,153546,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,35595,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,225507,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -42,Private,345504,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -64,Private,137205,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -29,Private,327779,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,20,United-States,<=50K -41,?,213416,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,32,Mexico,<=50K -45,Private,362883,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -48,Private,131309,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -44,Private,188331,Some-college,10,Separated,Tech-support,Not-in-family,White,Female,0,0,38,United-States,<=50K -34,Federal-gov,194740,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,43711,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K -45,Private,187033,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,40,United-States,<=50K -23,Private,233923,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -51,Private,84278,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -24,Private,437666,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2885,0,50,United-States,<=50K -57,Private,186386,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Male,10520,0,40,United-States,>50K -23,Private,129767,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,1721,40,United-States,<=50K -34,Private,180284,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K -36,Private,108320,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,4101,0,40,United-States,<=50K -56,Self-emp-inc,75214,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,32,United-States,>50K -42,Private,284758,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Self-emp-inc,188330,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -38,Private,333651,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,70,United-States,>50K -29,Local-gov,115305,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,40,United-States,>50K -54,Private,172962,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,1340,40,United-States,<=50K -40,Private,198096,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -29,Private,163265,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -35,Federal-gov,128608,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,107460,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,37,United-States,<=50K -51,Private,251841,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,<=50K -28,Private,403671,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,Mexico,<=50K -58,Private,159378,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K -24,Private,170070,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,25,United-States,<=50K -46,State-gov,192323,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,Private,135796,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,48,United-States,<=50K -22,Private,232985,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,20,United-States,<=50K -28,Private,34532,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Male,0,0,30,Jamaica,<=50K -17,?,371316,10th,6,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K -23,Private,236994,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,60,United-States,<=50K -19,Private,208366,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -66,State-gov,102640,HS-grad,9,Widowed,Prof-specialty,Unmarried,Black,Female,0,0,35,United-States,<=50K -38,Private,111377,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K -39,Federal-gov,472166,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -39,?,86551,12th,8,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,70943,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,40,United-States,>50K -39,Private,294919,HS-grad,9,Divorced,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K -22,Private,408383,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -36,Private,255454,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,30,United-States,<=50K -32,Private,193260,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -29,?,191935,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Local-gov,125461,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -51,Private,97005,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,183319,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -32,State-gov,167049,12th,8,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,185216,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -51,Private,161838,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,57,United-States,<=50K -38,Private,165848,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K -21,Private,138816,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,20,United-States,<=50K -33,Self-emp-not-inc,99761,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K -34,Private,112139,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,129020,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -38,?,365465,Assoc-voc,11,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K -27,Self-emp-not-inc,259873,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,60,United-States,>50K -35,Self-emp-inc,89622,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -29,State-gov,201556,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -40,Private,176286,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -46,Private,192894,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,30,United-States,<=50K -37,Private,172232,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -38,Self-emp-not-inc,163204,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3411,0,25,United-States,<=50K -37,Private,265737,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1887,60,Cuba,>50K -44,Private,215304,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -25,Private,185952,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -38,Private,216845,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,42,United-States,<=50K -34,Local-gov,35683,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,10,United-States,<=50K -50,Self-emp-not-inc,371305,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,60,United-States,>50K -46,Private,102359,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -20,Private,200089,5th-6th,3,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,30,Guatemala,<=50K -47,State-gov,207120,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K -46,Private,295334,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -34,Private,234537,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -61,Private,142922,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -55,State-gov,181641,Some-college,10,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,37,United-States,<=50K -36,Private,185325,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,35,United-States,<=50K -28,Private,167336,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,10520,0,40,United-States,>50K -22,Private,379778,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,176117,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,35,United-States,<=50K -33,Private,100228,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K -27,Private,150296,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K -43,Federal-gov,25005,Masters,14,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,5013,0,12,United-States,<=50K -55,Private,134120,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K -39,Self-emp-not-inc,251710,10th,6,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,1721,15,United-States,<=50K -20,Private,653574,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,33,El-Salvador,<=50K -38,Private,175441,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -30,Private,333119,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,89154,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,42,El-Salvador,<=50K -60,Private,198727,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K -43,Private,87284,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,180686,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -23,Private,227070,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,48,El-Salvador,<=50K -57,Local-gov,189824,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,7298,0,40,United-States,>50K -25,Local-gov,348986,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K -38,Private,96185,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,32,United-States,<=50K -22,Private,112693,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -23,Private,417605,5th-6th,3,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -61,Self-emp-not-inc,140300,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,44,United-States,<=50K -28,Private,340408,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,46,United-States,<=50K -17,?,187539,11th,7,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K -21,Private,237051,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -49,Private,175622,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,389725,12th,8,Divorced,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K -23,Private,182812,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,Dominican-Republic,<=50K -38,Self-emp-not-inc,245372,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,3137,0,50,United-States,<=50K -34,Local-gov,93886,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,46,United-States,>50K -21,Private,502837,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,Peru,<=50K -27,State-gov,212232,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K -57,Private,300104,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,84,United-States,>50K -22,Private,156933,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,25,United-States,<=50K -20,Private,286734,Some-college,10,Never-married,Adm-clerical,Not-in-family,Other,Female,0,0,35,United-States,<=50K -49,Self-emp-inc,143482,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,65,United-States,>50K -38,Private,226357,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,104892,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,223194,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,1485,40,Haiti,<=50K -37,Self-emp-not-inc,272090,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K -57,Private,204816,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -56,Private,230039,7th-8th,4,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -41,Private,242619,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,80,United-States,<=50K -50,Self-emp-not-inc,131982,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,60,South,<=50K -33,Private,87310,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Private,134566,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K -28,Federal-gov,163862,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K -35,Private,239409,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,203717,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -45,Private,172274,Doctorate,16,Divorced,Prof-specialty,Unmarried,Black,Female,0,3004,35,United-States,>50K -30,Self-emp-not-inc,65278,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -35,Self-emp-inc,135289,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K -27,Private,246974,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,180060,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,Yugoslavia,<=50K -24,Private,118023,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -47,Private,102308,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -47,Private,45564,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -18,Private,137646,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -18,Private,237646,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -31,Local-gov,189843,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,47,United-States,>50K -43,Self-emp-not-inc,118261,Masters,14,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -45,Private,288437,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Other,Male,4064,0,40,United-States,<=50K -39,Private,106347,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,316471,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K -22,Private,50058,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -30,Self-emp-not-inc,182089,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,85,United-States,<=50K -36,Private,186865,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -20,State-gov,158206,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K -61,?,229744,1st-4th,2,Married-civ-spouse,?,Husband,White,Male,3942,0,20,Mexico,<=50K -27,Private,141545,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,45,United-States,<=50K -59,Local-gov,50929,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -60,Private,132529,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,260696,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,231180,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K -40,Private,223277,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K -20,Private,279538,11th,7,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,2961,0,35,United-States,<=50K -47,Private,46044,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,168071,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -20,Private,79691,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -75,?,114204,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,13,United-States,<=50K -25,Private,124111,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -47,Private,104521,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -29,Self-emp-not-inc,128516,Assoc-acdm,12,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,>50K -34,Private,112564,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -45,State-gov,32186,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,239663,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,2597,0,50,United-States,<=50K -46,Private,269284,Assoc-acdm,12,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -41,State-gov,175537,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,38,United-States,<=50K -29,Private,444304,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -17,Private,27415,11th,7,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,20,United-States,<=50K -39,Private,174343,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,148143,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,Private,209213,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,?,<=50K -20,Private,165097,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,?,51574,HS-grad,9,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,1602,38,United-States,<=50K -52,Private,167651,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Local-gov,29075,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -22,Private,396895,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Mexico,<=50K -66,State-gov,71075,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -35,Private,129573,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -40,Local-gov,183765,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K -21,Private,164991,HS-grad,9,Divorced,Sales,Unmarried,Amer-Indian-Eskimo,Female,0,0,38,United-States,<=50K -51,Local-gov,154891,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Male,0,0,52,United-States,<=50K -34,Private,200117,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,176389,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,342567,Bachelors,13,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,178841,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -42,Local-gov,191149,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,29702,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -21,Private,157893,HS-grad,9,Never-married,Transport-moving,Own-child,White,Female,0,0,40,United-States,<=50K -64,Local-gov,31993,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,10,United-States,<=50K -24,Federal-gov,210736,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,1974,40,United-States,<=50K -23,Private,39615,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K -29,Private,200511,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -44,Self-emp-not-inc,47818,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,60,United-States,<=50K -28,Private,183155,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -33,Self-emp-inc,374905,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -35,Private,128876,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,202872,10th,6,Married-spouse-absent,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,153414,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K -51,Self-emp-not-inc,24790,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,99,United-States,>50K -32,Private,316769,11th,7,Never-married,Other-service,Unmarried,Black,Female,0,0,40,Jamaica,<=50K -37,Private,126569,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,128538,11th,7,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -24,Private,234640,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -29,?,65372,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K -45,Private,343377,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -52,Federal-gov,30731,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -35,Private,412379,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Self-emp-inc,112320,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -63,Private,181929,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,>50K -32,Local-gov,100135,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K -24,Private,128061,HS-grad,9,Never-married,Other-service,Own-child,White,Female,594,0,15,United-States,<=50K -72,?,402306,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,32,Canada,<=50K -35,?,98389,Some-college,10,Never-married,?,Unmarried,White,Male,0,0,10,United-States,<=50K -29,Private,179565,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,64922,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K -70,Private,102610,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,32,United-States,<=50K -65,?,115513,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,5556,0,48,United-States,>50K -36,Private,150548,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,30,United-States,<=50K -53,Private,133219,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,4386,0,30,United-States,>50K -49,Local-gov,67001,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,162347,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K -18,Private,138557,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,170456,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,Italy,<=50K -42,Private,66006,10th,6,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K -25,State-gov,176077,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,37,United-States,<=50K -32,Private,218322,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -25,Self-emp-inc,181691,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,?,<=50K -47,Private,168232,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K -30,Private,161690,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,?,242736,Assoc-acdm,12,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -38,Self-emp-not-inc,67317,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -34,Private,265807,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2051,55,United-States,<=50K -37,Private,99357,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -56,Private,170070,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -52,State-gov,231166,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,62339,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -29,State-gov,118520,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,42,United-States,<=50K -45,Private,155659,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -23,Local-gov,157331,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,341762,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -30,Private,164190,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K -45,Private,83064,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,304283,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -23,Private,436798,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,29302,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,?,<=50K -43,Private,104660,Masters,14,Widowed,Exec-managerial,Unmarried,White,Male,4934,0,40,United-States,>50K -42,Private,79036,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -72,Private,165622,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K -21,?,177287,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -57,Private,199847,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -24,Private,22966,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -27,Private,59068,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,77336,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -42,Local-gov,96524,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -17,Private,143868,9th,5,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K -48,Private,121424,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -39,Private,176279,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Self-emp-inc,177905,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,70,United-States,>50K -50,Private,205100,7th-8th,4,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,?,<=50K -57,Private,353881,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -44,Local-gov,177937,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,>50K -20,?,122244,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,28,United-States,<=50K -49,Private,125892,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -44,Private,155472,Assoc-acdm,12,Never-married,Prof-specialty,Unmarried,Black,Female,1151,0,50,United-States,<=50K -42,Private,355728,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K -18,?,245274,Some-college,10,Never-married,?,Own-child,White,Male,0,0,16,United-States,<=50K -18,Private,240330,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,18,United-States,<=50K -51,Private,182944,HS-grad,9,Widowed,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K -28,Private,264498,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,110426,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,45,United-States,>50K -25,Private,166971,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,<=50K -41,Private,347653,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K -39,Private,33975,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -42,Self-emp-not-inc,215219,11th,7,Separated,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K -33,Private,190772,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,1617,40,United-States,<=50K -63,?,331527,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,162494,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,45,United-States,>50K -27,Local-gov,85918,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,68,United-States,<=50K -39,Private,91367,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,45,United-States,>50K -20,Private,182342,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -49,Private,129640,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -70,?,133536,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,28,United-States,<=50K -46,Private,148738,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1740,35,United-States,<=50K -47,Private,102583,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K -35,Private,111387,9th,5,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,241752,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -22,?,334593,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -43,Private,101950,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -60,Local-gov,212856,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -53,Private,183973,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K -47,Private,142061,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,158615,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,29145,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,40135,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -23,Private,224640,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,?,146651,HS-grad,9,Married-civ-spouse,?,Own-child,White,Female,0,0,15,United-States,<=50K -29,Private,167737,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Male,0,0,50,United-States,<=50K -23,Private,60331,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,187167,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K -18,?,157131,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,12,United-States,<=50K -27,Local-gov,255237,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -56,?,192325,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -40,Private,163342,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,70,United-States,<=50K -31,Private,129775,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K -18,Private,206008,Some-college,10,Never-married,Sales,Unmarried,White,Male,2176,0,40,United-States,<=50K -25,Private,397317,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,745768,Some-college,10,Never-married,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K -38,Private,141550,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Private,35576,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,376383,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,35,Mexico,<=50K -48,Self-emp-not-inc,200825,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,>50K -34,?,362787,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,35,United-States,<=50K -46,Private,116789,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -26,Private,160300,HS-grad,9,Married-spouse-absent,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -47,Private,362654,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -21,?,107801,Some-college,10,Never-married,?,Own-child,White,Female,0,0,3,United-States,<=50K -65,Private,170939,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,6723,0,40,United-States,<=50K -31,Local-gov,224234,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -38,Private,478346,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,40,United-States,>50K -68,Private,211162,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,147638,Bachelors,13,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,40,Hong,<=50K -42,Private,104647,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,67365,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Private,230959,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,1887,40,Philippines,>50K -39,Private,176335,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,65,United-States,>50K -31,Self-emp-not-inc,268482,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,State-gov,288731,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -36,Private,231082,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -42,State-gov,333530,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K -62,Private,214288,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,118023,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,24,United-States,<=50K -21,Private,187088,Some-college,10,Never-married,Adm-clerical,Own-child,Other,Female,0,0,20,Cuba,<=50K -60,?,174073,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,133833,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -30,Private,229772,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -64,Private,210082,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,119287,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,28,United-States,>50K -41,Self-emp-not-inc,111772,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -25,Private,122999,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K -27,Private,44767,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,200574,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,44,United-States,<=50K -58,Private,236596,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Private,33124,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,99,United-States,<=50K -50,Local-gov,308764,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K -27,Private,103524,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K -31,?,99483,HS-grad,9,Never-married,?,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -50,Private,230951,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,99355,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K -33,Private,857532,12th,8,Never-married,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K -62,Private,81116,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,1974,40,United-States,<=50K -38,Private,154410,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,40,Poland,<=50K -19,Private,198943,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K -30,Private,311696,11th,7,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,30,United-States,<=50K -38,Private,252897,Some-college,10,Divorced,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -42,Self-emp-not-inc,39539,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,>50K -49,Self-emp-inc,122066,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K -53,Private,110977,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K -45,Local-gov,199590,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,Mexico,>50K -24,Private,202721,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -29,Private,197565,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -24,Private,206827,Some-college,10,Never-married,Sales,Own-child,White,Female,5060,0,30,United-States,<=50K -38,Federal-gov,190895,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K -25,Self-emp-inc,158751,Assoc-voc,11,Never-married,Transport-moving,Unmarried,White,Male,0,0,55,United-States,<=50K -51,State-gov,243631,10th,6,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -17,?,219277,11th,7,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -19,Private,45381,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,8,United-States,<=50K -38,Private,167482,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K -60,Private,225014,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Self-emp-not-inc,405083,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -66,?,186061,Some-college,10,Widowed,?,Unmarried,Black,Female,0,4356,40,United-States,<=50K -28,Federal-gov,24153,10th,6,Married-civ-spouse,Other-service,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K -36,Private,126569,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Ecuador,>50K -57,?,137658,HS-grad,9,Married-civ-spouse,?,Husband,Other,Male,0,0,5,Columbia,<=50K -24,Private,315476,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,248186,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -29,Self-emp-inc,206903,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K -67,Self-emp-not-inc,191380,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,25,United-States,>50K -20,Private,191910,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -21,Private,145119,Some-college,10,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K -20,Private,130840,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -42,Private,33126,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -20,Private,334105,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K -19,Local-gov,354104,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K -34,Private,111985,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -40,Local-gov,321187,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K -33,Private,138142,Some-college,10,Separated,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K -36,Private,296999,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Female,0,0,37,United-States,<=50K -43,Private,155106,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,2444,70,United-States,>50K -41,Local-gov,174491,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -34,State-gov,173266,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -33,Private,25610,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,Other,Male,0,0,40,Japan,>50K -47,Private,187563,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,196344,1st-4th,2,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Mexico,<=50K -40,Private,205047,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K -28,Private,715938,Bachelors,13,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K -62,Self-emp-not-inc,224520,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,90,United-States,>50K -29,Private,229656,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K -46,Private,97883,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,131298,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K -57,Federal-gov,197875,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,172766,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -28,Local-gov,175796,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,51973,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -54,Self-emp-not-inc,28186,Bachelors,13,Divorced,Farming-fishing,Not-in-family,White,Male,27828,0,50,United-States,>50K -22,Private,291979,11th,7,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,State-gov,180752,Bachelors,13,Never-married,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K -50,Private,234657,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -18,Private,39411,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K -52,State-gov,334273,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -41,Private,192779,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K -21,?,105312,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,20,United-States,<=50K -36,Private,171676,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,1741,40,United-States,<=50K -34,Self-emp-not-inc,182714,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,>50K -21,Private,231866,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,102102,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -57,?,50248,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -61,Local-gov,195519,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,25,United-States,<=50K -22,State-gov,34310,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,25,United-States,<=50K -33,?,314913,11th,7,Divorced,?,Own-child,White,Male,0,0,53,United-States,<=50K -36,State-gov,747719,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,50,United-States,>50K -43,Local-gov,188280,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,914,0,40,United-States,<=50K -25,Private,110978,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,37,India,>50K -17,Private,79682,10th,6,Never-married,Priv-house-serv,Other-relative,White,Male,0,0,30,United-States,<=50K -45,Private,294671,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,38,United-States,>50K -30,Private,340899,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,1590,80,United-States,<=50K -40,Private,192259,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K -31,Local-gov,190228,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -42,Private,118947,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -53,Private,55861,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -37,Private,238433,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Cuba,<=50K -37,State-gov,166744,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K -54,Private,144586,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -36,Private,134367,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -46,Private,133616,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -46,Private,203039,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -32,Private,217460,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -17,Private,106733,11th,7,Never-married,Craft-repair,Own-child,White,Male,594,0,40,United-States,<=50K -42,State-gov,212027,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -37,Local-gov,126569,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,289960,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -54,Private,174102,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Private,181716,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -46,Local-gov,172822,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,293091,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,107443,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Portugal,<=50K -59,Private,95283,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,65278,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -35,Private,220943,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,1594,40,United-States,<=50K -53,Private,257940,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2829,0,40,United-States,<=50K -26,Private,134945,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K -55,Self-emp-not-inc,105582,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,2228,0,50,United-States,<=50K -46,Private,169324,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,0,0,45,Jamaica,<=50K -44,State-gov,98989,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,38,United-States,>50K -30,Self-emp-not-inc,113838,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,3137,0,60,Germany,<=50K -24,Private,143436,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K -32,Private,143604,10th,6,Married-spouse-absent,Other-service,Not-in-family,Black,Female,0,0,37,United-States,<=50K -35,Private,226311,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -67,Private,94610,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K -56,Self-emp-not-inc,26716,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,>50K -26,Private,160261,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,20,India,<=50K -46,Private,117310,Assoc-acdm,12,Widowed,Tech-support,Unmarried,White,Female,6497,0,40,United-States,<=50K -52,Private,154342,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -38,Self-emp-not-inc,89202,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,174704,HS-grad,9,Divorced,Sales,Unmarried,Black,Male,0,0,50,United-States,<=50K -53,Private,153486,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,30,United-States,<=50K -27,Private,360097,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -39,Private,230356,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,163870,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,199753,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K -20,Private,333505,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,Nicaragua,<=50K -60,Local-gov,149281,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -51,Private,138514,Assoc-voc,11,Divorced,Tech-support,Unmarried,Black,Female,0,0,48,United-States,<=50K -57,Federal-gov,66504,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -59,Private,206487,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -37,Private,170020,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,217605,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,United-States,<=50K -43,Private,145711,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,72,United-States,>50K -17,Private,169155,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -45,Private,34127,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -18,Private,110142,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -52,Private,222646,12th,8,Separated,Machine-op-inspct,Other-relative,White,Female,0,0,40,Cuba,<=50K -18,Private,182643,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,9,United-States,<=50K -20,Private,303565,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,Germany,<=50K -34,Private,140092,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -19,Private,178811,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,20,United-States,<=50K -18,?,267399,12th,8,Never-married,?,Own-child,White,Female,0,0,12,United-States,<=50K -17,Local-gov,192387,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,45,United-States,<=50K -30,Federal-gov,127610,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -29,Private,258862,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Female,0,0,45,United-States,<=50K -30,Private,225231,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,8614,0,50,United-States,>50K -18,Private,174926,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,15,?,<=50K -50,State-gov,238187,Bachelors,13,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K -22,Private,191444,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K -21,Private,198822,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K -39,Self-emp-not-inc,251323,9th,5,Married-civ-spouse,Farming-fishing,Other-relative,White,Male,0,0,40,Cuba,<=50K -20,Private,168187,Some-college,10,Never-married,Other-service,Other-relative,White,Female,4416,0,25,United-States,<=50K -62,Private,370881,Assoc-acdm,12,Widowed,Other-service,Not-in-family,White,Female,0,0,7,United-States,<=50K -32,Private,198183,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -38,Private,210610,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -32,Private,269182,Some-college,10,Separated,Tech-support,Unmarried,Black,Female,3887,0,40,United-States,<=50K -55,Private,141727,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,3464,0,40,United-States,<=50K -38,Private,185848,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,70,United-States,>50K -34,Private,46746,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -28,Private,120475,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -26,Private,135845,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,37,United-States,<=50K -41,Private,310255,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -61,State-gov,379885,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K -75,Self-emp-not-inc,31428,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,3456,0,40,United-States,<=50K -21,Private,211013,Assoc-voc,11,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,50,Mexico,<=50K -50,Private,175029,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -49,Self-emp-inc,119539,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,?,>50K -26,Private,247025,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K -39,Private,252327,7th-8th,4,Never-married,Other-service,Own-child,White,Male,0,0,40,Mexico,<=50K -24,Self-emp-not-inc,375313,Some-college,10,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -56,Private,107165,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,18,United-States,<=50K -17,Private,108470,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,17,United-States,<=50K -37,Private,150057,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K -23,Private,189468,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K -28,?,198393,HS-grad,9,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -57,Self-emp-not-inc,181031,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -42,Local-gov,569930,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K -25,Private,27411,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,147397,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,20,United-States,<=50K -39,Private,242922,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -54,Private,154949,11th,7,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,>50K -41,Self-emp-inc,423217,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -43,Federal-gov,195385,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -19,Private,100009,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,191628,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,340880,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,Philippines,>50K -19,Private,207173,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K -33,Private,48010,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,229051,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,52,United-States,<=50K -49,Private,193366,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -31,Private,57781,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K -69,?,121136,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,13,United-States,<=50K -41,Private,433989,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,4386,0,60,United-States,>50K -24,Private,136687,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Other,Female,0,0,40,United-States,<=50K -45,State-gov,154117,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,>50K -63,Private,294009,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K -75,Private,239038,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,16,United-States,<=50K -34,Private,244064,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K -69,Private,128348,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,9386,0,50,United-States,>50K -33,Private,66278,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,162643,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K -45,Private,179659,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K -18,Private,205218,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -48,Private,154033,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,52,United-States,<=50K -43,Private,158528,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Private,366219,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,1848,60,United-States,>50K -35,Private,301862,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -34,Private,228406,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -48,Private,120131,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,70,United-States,>50K -54,Local-gov,127943,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -57,Private,301514,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,156980,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,60,United-States,<=50K -28,Private,124685,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,55,United-States,<=50K -51,Private,305673,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,>50K -34,Local-gov,31391,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,53,United-States,>50K -41,Local-gov,33658,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K -21,Private,211391,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,27,United-States,<=50K -26,Private,402998,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,58,United-States,>50K -66,Private,78855,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -40,Private,320451,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1977,45,Hong,>50K -48,Private,49278,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -44,?,248876,Bachelors,13,Divorced,?,Not-in-family,White,Male,0,0,50,United-States,<=50K -41,Private,242586,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,359696,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,15024,0,60,United-States,>50K -55,Local-gov,296085,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -43,Private,233130,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K -51,Private,189511,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,Germany,>50K -31,Private,124420,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,67072,Bachelors,13,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,6849,0,60,United-States,<=50K -51,Private,194908,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -31,Local-gov,94991,HS-grad,9,Divorced,Other-service,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -18,Private,194561,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,37,United-States,<=50K -60,Private,75726,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,1092,40,United-States,<=50K -29,Private,60722,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -33,Private,59944,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,220840,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K -40,Self-emp-inc,104235,Masters,14,Never-married,Other-service,Own-child,White,Male,0,0,99,United-States,<=50K -57,Private,142714,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K -55,Local-gov,110490,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,60,United-States,<=50K -40,Self-emp-not-inc,154076,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -26,State-gov,130557,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K -29,Private,107108,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -30,Private,207172,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Mexico,<=50K -29,Private,304595,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -43,Private,475322,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -65,Private,107620,11th,7,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K -19,Private,301911,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,35,Laos,<=50K -35,Private,267866,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,1887,50,Iran,>50K -28,Private,269786,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,167474,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,115023,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,60,United-States,>50K -63,Local-gov,86590,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,32,United-States,<=50K -47,State-gov,187087,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -31,Private,184307,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,225859,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,2907,0,30,United-States,<=50K -29,Private,57889,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -59,Private,157932,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,187830,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,62,United-States,>50K -49,Private,251180,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,2407,0,50,United-States,<=50K -60,Private,317083,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -35,Self-emp-not-inc,190895,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -48,Federal-gov,328606,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,?,403860,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,215479,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -56,Private,157639,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -26,Private,152129,12th,8,Never-married,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K -53,Private,239284,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -23,Private,234302,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K -58,Private,218724,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -61,Private,106330,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,35032,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K -22,Private,234641,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,170730,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -31,Private,218322,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -90,Private,47929,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,142411,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K -22,?,219122,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -55,Private,132887,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,3411,0,40,Jamaica,<=50K -34,State-gov,44464,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K -28,Private,180928,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,5013,0,55,United-States,<=50K -22,?,199426,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,139703,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K -33,Private,202642,Bachelors,13,Separated,Prof-specialty,Other-relative,Black,Female,0,0,40,Jamaica,<=50K -17,Private,160049,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K -38,Private,239755,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Private,152369,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -34,Private,42900,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -72,?,117017,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K -57,Private,175017,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Italy,<=50K -39,Private,342642,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -50,Self-emp-not-inc,143730,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K -45,Private,191098,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -37,Private,208106,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K -27,Private,167737,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,48,United-States,<=50K -43,Private,315971,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K -41,Private,142717,Some-college,10,Divorced,Tech-support,Unmarried,Black,Female,0,0,36,United-States,<=50K -20,Private,190227,Masters,14,Never-married,Exec-managerial,Own-child,White,Male,0,0,25,United-States,<=50K -44,Private,79864,Masters,14,Separated,Exec-managerial,Unmarried,White,Female,0,0,20,United-States,<=50K -50,Private,34067,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -54,Private,222882,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K -31,Private,44464,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,1564,60,United-States,>50K -33,Private,256062,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,Puerto-Rico,<=50K -22,Private,251073,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K -46,Private,149949,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,165235,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K -22,?,243190,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,40,China,<=50K -59,?,160662,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2407,0,60,United-States,<=50K -57,Self-emp-not-inc,175942,Some-college,10,Widowed,Exec-managerial,Other-relative,White,Male,0,0,25,United-States,<=50K -26,Private,212793,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Local-gov,153312,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -55,Local-gov,173296,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K -47,Private,120131,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -19,Private,117444,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,226196,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -44,Private,202872,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -42,Private,176716,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K -39,Private,82540,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K -17,?,41643,11th,7,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -26,Private,197292,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K -26,Private,76491,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -50,Self-emp-inc,101094,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K -46,Self-emp-not-inc,119944,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -18,Private,141626,Some-college,10,Never-married,Tech-support,Own-child,White,Male,2176,0,20,United-States,<=50K -26,Private,122575,Bachelors,13,Never-married,Exec-managerial,Unmarried,Asian-Pac-Islander,Male,0,0,60,Vietnam,<=50K -32,Private,194740,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -50,Private,263200,5th-6th,3,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,34,Mexico,<=50K -47,Local-gov,140644,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -52,Private,202115,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,United-States,<=50K -25,Federal-gov,27142,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -42,Local-gov,318046,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -53,Private,276369,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -30,Private,67187,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Female,0,0,8,United-States,<=50K -23,Private,133582,1st-4th,2,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,36,Mexico,<=50K -23,Private,216672,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,30,?,<=50K -32,Private,45796,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K -29,Self-emp-inc,31778,HS-grad,9,Separated,Prof-specialty,Other-relative,White,Male,0,0,25,United-States,<=50K -40,Private,190044,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -45,State-gov,144351,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -17,?,172145,10th,6,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K -55,Private,193130,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -59,Local-gov,140478,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -56,Private,122390,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K -23,Private,116830,12th,8,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -37,Local-gov,117683,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,106491,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -22,?,39803,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -27,Private,363053,9th,5,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,24,Mexico,<=50K -21,Private,54472,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -47,Local-gov,200471,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,40,United-States,>50K -38,Private,54317,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K -62,Local-gov,113443,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,10520,0,33,United-States,>50K -27,Private,159623,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -25,?,161235,Assoc-voc,11,Never-married,?,Own-child,White,Male,0,0,90,United-States,<=50K -27,Private,247978,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K -40,Private,305846,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -22,Self-emp-not-inc,214014,Some-college,10,Never-married,Sales,Own-child,Black,Male,99999,0,55,United-States,>50K -33,Private,226525,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -28,Private,247819,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,5,United-States,<=50K -28,Private,194940,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,289991,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,55,United-States,<=50K -46,Private,585361,9th,5,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,91145,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -65,?,231604,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,45,Germany,<=50K -28,Private,273269,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K -39,Private,202683,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,159179,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Private,28952,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,39,United-States,<=50K -25,?,214925,10th,6,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -63,Private,163708,9th,5,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -56,Private,200235,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -46,Private,109209,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -19,Private,166153,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K -56,Local-gov,268213,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,?,>50K -31,Private,69056,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -51,State-gov,237141,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -17,Private,277541,11th,7,Never-married,Sales,Own-child,White,Male,0,0,5,United-States,<=50K -27,Local-gov,289039,Some-college,10,Never-married,Protective-serv,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -30,Private,134737,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,45,United-States,<=50K -18,Private,56613,Some-college,10,Never-married,Protective-serv,Own-child,White,Female,0,0,20,United-States,<=50K -41,Private,36699,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,4650,0,40,United-States,<=50K -40,Local-gov,333530,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K -35,Private,185366,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -29,Private,154017,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,10,United-States,<=50K -27,Private,215504,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1848,55,United-States,>50K -25,Private,222539,10th,6,Never-married,Transport-moving,Not-in-family,White,Male,2597,0,50,United-States,<=50K -53,Private,191565,1st-4th,2,Divorced,Other-service,Unmarried,Black,Female,0,0,40,Dominican-Republic,<=50K -53,Private,111939,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -26,State-gov,53903,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -41,Private,146659,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,<=50K -28,Private,194200,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -48,State-gov,78529,Masters,14,Separated,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K -22,Private,194829,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K -40,Federal-gov,330174,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -52,Self-emp-inc,230767,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,Cuba,>50K -53,Local-gov,137250,Masters,14,Widowed,Prof-specialty,Unmarried,Black,Female,0,1669,35,United-States,<=50K -40,Private,254478,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,United-States,>50K -57,Private,300908,Assoc-acdm,12,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,75,United-States,<=50K -53,Self-emp-not-inc,187830,Assoc-voc,11,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,Poland,<=50K -23,Private,201138,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K -31,Self-emp-not-inc,44503,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,381357,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,28,United-States,<=50K -25,Private,311124,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -37,Private,96330,Some-college,10,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -50,Private,228238,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -34,Self-emp-not-inc,56964,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K -37,Private,127772,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -52,Private,386397,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -29,Self-emp-not-inc,404998,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,90,United-States,<=50K -49,Private,34545,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K -31,Private,157886,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K -47,Private,101299,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,134447,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K -27,Private,191822,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K -23,Private,70919,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -55,Private,266343,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,46,United-States,<=50K -28,Private,87239,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -31,Local-gov,236487,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,Germany,<=50K -30,Private,224147,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K -23,Private,197200,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,60,United-States,<=50K -19,Private,124265,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -22,Private,79980,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K -50,Private,128814,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K -64,?,208862,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K -21,Private,51262,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K -75,Self-emp-inc,98116,Some-college,10,Widowed,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K -29,Private,82393,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,40,Germany,<=50K -47,Private,57534,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -20,Private,218962,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,204752,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -45,Private,243631,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,45,China,>50K -41,Private,170299,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,43,United-States,<=50K -23,Private,60331,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -38,Private,269318,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,5178,0,50,United-States,>50K -67,State-gov,132819,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,41,United-States,>50K -21,Private,119665,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,35,United-States,<=50K -38,Private,150057,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K -31,Private,128567,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -19,?,230874,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -59,Self-emp-not-inc,148526,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -36,Private,160192,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -50,Local-gov,74660,Some-college,10,Widowed,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K -60,Self-emp-inc,142494,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,122042,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -28,Self-emp-inc,37088,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -36,Private,61778,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -21,?,176356,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,Germany,<=50K -27,Private,123302,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Poland,<=50K -18,Private,89760,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -44,Local-gov,165304,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,40,United-States,>50K -56,Private,104945,7th-8th,4,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K -51,Self-emp-inc,192973,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K -48,Private,97863,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Italy,>50K -31,Private,73585,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -35,Private,29145,Assoc-voc,11,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -35,Private,175232,HS-grad,9,Divorced,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -36,Private,325374,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,107231,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,65,United-States,<=50K -23,Private,129345,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K -21,Private,228395,Some-college,10,Never-married,Sales,Other-relative,Black,Female,0,0,20,United-States,<=50K -49,Private,452402,Some-college,10,Separated,Exec-managerial,Unmarried,Black,Female,0,0,60,United-States,<=50K -51,Self-emp-inc,338260,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K -46,Private,165138,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,109055,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,3137,0,45,United-States,<=50K -27,Private,193122,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -56,?,425497,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -48,Private,191858,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,297155,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -29,Local-gov,181282,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -50,Federal-gov,111700,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -18,Private,35065,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,35,United-States,<=50K -37,Private,298539,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,55,United-States,>50K -51,Self-emp-not-inc,95435,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -31,Private,162160,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,<=50K -29,Private,176037,Assoc-voc,11,Divorced,Tech-support,Not-in-family,Black,Male,14344,0,40,United-States,>50K -39,Private,314007,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,40,United-States,<=50K -48,Private,197683,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K -44,Private,242521,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K -39,Private,290321,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -22,Local-gov,44064,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -27,?,174163,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,>50K -42,Private,374790,9th,5,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,231562,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,33,United-States,<=50K -27,Private,376150,Some-college,10,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -51,Private,99987,10th,6,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -27,Self-emp-not-inc,120126,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -60,Self-emp-not-inc,33717,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -36,Private,132879,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Italy,<=50K -45,Private,304570,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,China,>50K -40,Private,100292,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K -63,Private,117473,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,4386,0,40,United-States,>50K -41,Private,239833,HS-grad,9,Married-spouse-absent,Transport-moving,Unmarried,Black,Male,0,0,50,United-States,<=50K -53,?,155233,12th,8,Married-civ-spouse,?,Wife,White,Female,0,0,40,Italy,<=50K -34,Private,130369,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Female,1151,0,48,Germany,<=50K -34,Private,347166,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,502752,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K -22,State-gov,255575,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,15,United-States,<=50K -49,Private,277946,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -43,?,214541,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K -36,Private,143123,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -27,Private,69132,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,37,United-States,<=50K -52,Self-emp-not-inc,34973,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1887,60,United-States,>50K -29,Private,236992,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,50,United-States,<=50K -27,Private,492263,10th,6,Separated,Machine-op-inspct,Own-child,White,Male,0,0,35,Mexico,<=50K -42,Private,180019,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,65,United-States,<=50K -49,Self-emp-not-inc,47086,Bachelors,13,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,222853,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K -22,Private,344176,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,20,United-States,<=50K -30,Self-emp-not-inc,223212,Bachelors,13,Never-married,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K -28,Private,110981,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -20,Private,162688,Assoc-voc,11,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -45,Self-emp-inc,181307,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,43,United-States,>50K -39,Private,148903,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,4687,0,50,United-States,>50K -43,Private,306440,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,66,France,<=50K -18,Private,210311,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -53,Private,127117,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -74,Private,54732,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,>50K -39,Private,271521,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,48,Philippines,>50K -33,?,216908,10th,6,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K -49,Private,543922,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K -21,Private,766115,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,35,United-States,<=50K -65,?,52728,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,284166,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1564,50,United-States,>50K -49,Private,122206,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K -20,?,95989,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -47,Private,334039,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,44,United-States,>50K -46,Self-emp-not-inc,225456,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,112847,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,7298,0,32,United-States,>50K -61,Self-emp-not-inc,171840,HS-grad,9,Widowed,Prof-specialty,Unmarried,White,Female,0,0,16,United-States,<=50K -48,Private,180695,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -44,Private,121012,9th,5,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -37,Self-emp-inc,126569,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -45,Private,227791,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1740,50,United-States,<=50K -51,Self-emp-not-inc,290290,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -33,Local-gov,251521,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -55,Self-emp-not-inc,41938,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,8,United-States,<=50K -25,Private,27678,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,60,United-States,<=50K -26,Private,133756,HS-grad,9,Divorced,Farming-fishing,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -54,Private,215990,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -38,Private,461337,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,33,United-States,<=50K -39,Local-gov,344855,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,20,United-States,>50K -20,State-gov,214542,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -30,Private,258170,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Federal-gov,242147,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Other,Male,0,0,45,United-States,<=50K -42,Private,235700,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,278130,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,Private,261241,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -60,Private,85995,Masters,14,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,50,South,>50K -42,Private,340885,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,44,United-States,<=50K -42,Private,152889,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -46,Private,195023,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Columbia,<=50K -52,State-gov,109600,Masters,14,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,4787,0,44,United-States,>50K -27,?,249463,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -43,Private,158177,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K -43,State-gov,47818,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,391468,11th,7,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -52,Local-gov,199995,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,United-States,>50K -31,Private,231043,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -38,?,281768,7th-8th,4,Divorced,?,Unmarried,Black,Female,0,0,30,United-States,<=50K -44,Private,267790,9th,5,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -27,Private,217379,Some-college,10,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -50,Private,421561,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -23,Private,50953,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -22,Private,138504,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,30,United-States,<=50K -36,State-gov,177064,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,103064,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,3674,0,40,United-States,<=50K -59,Private,184493,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -39,Private,104089,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -23,Private,149204,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,405284,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1340,42,United-States,<=50K -25,Local-gov,137296,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Black,Female,0,0,38,United-States,<=50K -40,Private,87771,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,1628,45,United-States,<=50K -38,State-gov,125499,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,7688,0,60,India,>50K -31,Private,59083,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K -28,Local-gov,138332,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -24,Private,198914,HS-grad,9,Never-married,Sales,Unmarried,Black,Male,0,0,25,United-States,<=50K -46,Local-gov,238162,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,50,United-States,>50K -29,Private,123677,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,40,Laos,<=50K -38,Federal-gov,325538,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -53,Private,251063,Some-college,10,Separated,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K -33,Private,51471,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,1902,40,United-States,>50K -39,Private,175681,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,60,?,<=50K -44,Private,165599,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -46,Private,149640,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,England,>50K -30,Private,143526,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -24,Private,211160,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,342989,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -62,Self-emp-not-inc,173631,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K -25,Private,141876,HS-grad,9,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K -45,Private,137604,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -21,Private,129232,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -64,Federal-gov,271550,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -39,Private,456922,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -60,Private,232242,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,352188,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,114967,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Private,201981,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -32,State-gov,159247,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,125905,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,186824,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Local-gov,121012,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -58,Private,110844,Masters,14,Widowed,Sales,Not-in-family,White,Female,0,0,27,United-States,<=50K -23,Private,143003,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1887,50,India,>50K -31,Federal-gov,59732,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -28,Private,178489,Bachelors,13,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,45,?,<=50K -41,?,252127,Some-college,10,Widowed,?,Unmarried,Black,Female,0,0,20,United-States,<=50K -37,Private,109633,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,16,United-States,>50K -19,Private,160811,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,38,United-States,<=50K -27,Self-emp-not-inc,365110,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K -61,Self-emp-not-inc,113080,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,58,United-States,>50K -39,Private,206074,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -25,Private,173062,Bachelors,13,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,40,United-States,<=50K -58,Private,117273,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -27,Self-emp-not-inc,153805,Some-college,10,Married-civ-spouse,Transport-moving,Other-relative,Other,Male,0,0,50,Ecuador,>50K -51,Private,293802,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,52,United-States,<=50K -43,Local-gov,153132,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -46,Private,166809,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -67,?,34122,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -50,Local-gov,231725,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,63210,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K -35,Private,108293,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,>50K -57,Private,116878,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Italy,<=50K -40,Private,110622,Prof-school,15,Married-civ-spouse,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -42,Local-gov,180318,10th,6,Never-married,Farming-fishing,Unmarried,White,Male,0,0,35,United-States,<=50K -67,Self-emp-inc,112318,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,252079,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7688,0,44,United-States,>50K -30,Private,27153,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -26,Private,73312,11th,7,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,15,United-States,<=50K -51,Private,145409,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -38,Private,167882,Some-college,10,Widowed,Other-service,Other-relative,Black,Female,0,0,45,Haiti,<=50K -24,Private,236696,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K -48,Self-emp-not-inc,28791,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K -34,State-gov,118551,Bachelors,13,Married-civ-spouse,Tech-support,Own-child,White,Female,5178,0,25,?,>50K -70,Private,187292,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,6418,0,40,United-States,>50K -35,Private,189922,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -61,?,584259,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,>50K -26,Private,173992,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -64,Private,253759,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,3,United-States,<=50K -26,Private,111243,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -39,Self-emp-not-inc,147850,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K -55,Private,171015,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,36,United-States,<=50K -23,Private,118023,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,?,<=50K -33,Self-emp-not-inc,361497,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -31,Private,137290,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -28,Local-gov,401886,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,20,United-States,<=50K -50,Private,201882,Masters,14,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,United-States,<=50K -26,Local-gov,30793,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,55,United-States,>50K -44,Federal-gov,139161,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,Black,Female,0,1741,40,United-States,<=50K -51,Private,210736,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -34,Private,167781,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,103986,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,39,United-States,>50K -29,Private,144592,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -24,Private,493034,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -27,Private,184078,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -44,Private,191814,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -24,Private,329852,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,223660,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -47,Private,177087,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,>50K -30,Private,143766,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -35,Private,234271,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Federal-gov,314822,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -42,Private,195584,Assoc-acdm,12,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -70,Self-emp-inc,207938,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2377,50,United-States,>50K -41,Private,126850,Prof-school,15,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -36,Private,279485,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K -44,Private,267717,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K -42,?,175935,HS-grad,9,Separated,?,Unmarried,White,Male,0,0,40,United-States,<=50K -20,Private,163665,Some-college,10,Never-married,Transport-moving,Own-child,White,Female,0,0,17,United-States,<=50K -29,Private,200468,10th,6,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,91501,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K -30,Private,182771,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -59,Self-emp-not-inc,56392,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1579,60,United-States,<=50K -31,Private,20511,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -21,Private,538822,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,Mexico,<=50K -26,Private,332008,Some-college,10,Never-married,Craft-repair,Unmarried,Asian-Pac-Islander,Male,0,0,37,Taiwan,<=50K -57,Self-emp-inc,220789,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -59,Self-emp-not-inc,114760,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,>50K -87,?,90338,HS-grad,9,Widowed,?,Not-in-family,White,Male,0,0,2,United-States,<=50K -25,Private,181576,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K -39,Private,198841,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K -53,Private,53197,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K -32,State-gov,542265,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,193026,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,25505,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K -17,Private,375657,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K -44,Private,201599,11th,7,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,181820,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K -57,Private,334224,Some-college,10,Married-civ-spouse,Craft-repair,Wife,White,Female,9386,0,40,United-States,>50K -30,State-gov,54318,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,141388,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K -54,Self-emp-not-inc,57101,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K -44,Private,168515,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,Germany,<=50K -60,Private,163665,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,16,United-States,>50K -28,Private,207513,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,42,United-States,>50K -39,Private,293291,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K -55,Private,70088,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -36,Private,199346,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -55,Local-gov,143949,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,3103,0,45,United-States,>50K -33,Private,207201,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,>50K -30,Private,430283,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,7298,0,40,United-States,>50K -40,Local-gov,293809,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -30,Private,378009,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -40,Private,226608,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,30,Guatemala,>50K -24,Private,314182,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Female,0,0,50,United-States,<=50K -18,Private,170544,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K -18,Private,94196,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,25,United-States,<=50K -49,Private,193047,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -42,Private,112607,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -28,Local-gov,146949,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,309513,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -48,Self-emp-not-inc,191389,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K -24,Private,213902,7th-8th,4,Never-married,Priv-house-serv,Own-child,White,Female,0,0,32,El-Salvador,<=50K -73,Self-emp-not-inc,46514,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,25,United-States,<=50K -35,Private,75855,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,7298,0,40,?,>50K -23,Private,38707,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K -19,Private,188568,Some-college,10,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,215014,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,Mexico,<=50K -27,Private,184477,12th,8,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,204235,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -31,Private,39054,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K -64,Self-emp-inc,272531,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -45,Private,358701,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,10,Mexico,<=50K -47,Private,217750,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K -22,Private,200374,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,35,United-States,<=50K -24,Private,498349,Bachelors,13,Never-married,Transport-moving,Unmarried,Black,Female,0,0,40,United-States,<=50K -69,State-gov,170458,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K -40,Self-emp-not-inc,57233,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -45,Private,188432,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -47,Self-emp-not-inc,33300,Assoc-acdm,12,Never-married,Farming-fishing,Other-relative,White,Male,10520,0,45,United-States,>50K -31,Private,225779,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -48,Private,46677,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,42,United-States,<=50K -41,Private,227968,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,35,Haiti,>50K -34,Private,85355,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -48,Private,207120,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -28,Local-gov,229223,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,36,United-States,>50K -20,Private,224640,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K -39,Private,139012,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -40,Federal-gov,130749,Some-college,10,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -28,Private,204516,10th,6,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K -20,Private,105479,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -41,Private,197093,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K -49,Self-emp-inc,431245,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -24,Private,155150,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -35,State-gov,216035,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,388247,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -23,Private,208908,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -23,Private,259301,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -42,Self-emp-not-inc,69333,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,4386,0,80,United-States,>50K -34,Private,167893,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,64,United-States,>50K -32,Federal-gov,386877,Assoc-voc,11,Never-married,Tech-support,Own-child,Black,Male,4650,0,40,United-States,<=50K -54,Private,146551,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,54,United-States,>50K -48,Private,238360,Bachelors,13,Separated,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -38,Private,187748,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -48,State-gov,50748,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,50136,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,El-Salvador,<=50K -42,Private,111483,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K -31,Private,298871,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K -27,Private,147340,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,>50K -57,Private,132704,Masters,14,Separated,Prof-specialty,Not-in-family,White,Male,10520,0,32,United-States,>50K -46,State-gov,327786,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,3325,0,42,United-States,<=50K -44,Federal-gov,243636,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -42,Local-gov,194417,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -24,Private,236696,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Private,337130,1st-4th,2,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -29,Private,273051,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,Yugoslavia,>50K -38,Private,186191,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K -33,Private,268451,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -61,Private,154600,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,4,United-States,<=50K -49,Local-gov,405309,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -51,Self-emp-not-inc,99185,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -42,Private,191765,HS-grad,9,Divorced,Other-service,Other-relative,Black,Female,0,0,35,United-States,<=50K -21,Private,253583,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -29,?,297054,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -54,Private,204397,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -23,Private,288771,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K -52,Private,173987,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -28,Local-gov,33662,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,7298,0,40,United-States,>50K -23,Private,91658,Some-college,10,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K -43,Private,226902,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,>50K -45,Private,232586,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -51,Self-emp-not-inc,291755,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,<=50K -29,?,207032,HS-grad,9,Married-spouse-absent,?,Unmarried,Black,Female,0,0,42,Haiti,<=50K -23,Private,161478,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -73,Self-emp-not-inc,109833,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -47,Self-emp-not-inc,229394,11th,7,Divorced,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,<=50K -61,?,69285,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,37,United-States,<=50K -26,Private,491862,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K -40,Private,311534,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -32,Self-emp-not-inc,420895,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,47,United-States,<=50K -39,Private,226374,10th,6,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -33,Federal-gov,101345,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,48779,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K -42,Private,152676,HS-grad,9,Divorced,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,164877,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -33,Private,97521,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -47,Private,88564,5th-6th,3,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,20,United-States,<=50K -33,Private,188246,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,189185,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -42,State-gov,163069,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -28,Private,251905,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -29,Private,112403,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,<=50K -18,Private,36882,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -33,Self-emp-not-inc,195891,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -36,Private,194905,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,44,United-States,<=50K -33,Private,133503,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,48,United-States,>50K -40,Private,31621,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -57,Self-emp-not-inc,413373,Doctorate,16,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K -40,Private,196029,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,45,United-States,<=50K -36,Private,107302,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K -45,Private,151267,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,>50K -52,Private,256861,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,82777,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Private,147430,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,?,60726,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K -46,Self-emp-not-inc,165754,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -36,Private,448337,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -48,Private,185079,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -36,Private,418702,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -48,Private,41504,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K -21,Private,387335,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,1719,9,United-States,<=50K -18,Private,261720,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -38,Private,133963,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K -66,?,357750,11th,7,Widowed,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -36,State-gov,179488,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,55,United-States,>50K -38,Private,60135,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K -55,Self-emp-not-inc,308746,Prof-school,15,Widowed,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K -27,Private,278720,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K -22,State-gov,477505,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -29,Private,164711,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K -40,Private,208277,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K -21,Private,39943,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -49,Private,104542,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -29,Private,286634,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K -28,Private,142712,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -26,Private,336404,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -33,Private,117983,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,41,United-States,<=50K -72,?,108796,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -59,Private,59469,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,Iran,<=50K -37,Private,171968,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -56,?,119254,10th,6,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,278617,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -39,Private,72338,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -49,Local-gov,343231,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,80,United-States,<=50K -30,Private,63910,HS-grad,9,Married-civ-spouse,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K -28,Private,190350,9th,5,Married-civ-spouse,Protective-serv,Wife,Black,Female,0,0,40,United-States,<=50K -25,State-gov,176162,Bachelors,13,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,37720,10th,6,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -25,Private,421467,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,26,United-States,<=50K -36,Private,138441,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -52,Private,146767,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -20,?,369678,12th,8,Never-married,?,Not-in-family,Other,Male,0,1602,40,United-States,<=50K -25,Private,160445,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -26,Private,211695,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,102346,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,2415,20,United-States,>50K -48,Private,128796,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -39,Private,111129,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -30,Local-gov,44566,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -26,Private,118497,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -36,Private,334291,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K -49,Private,237920,Doctorate,16,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -34,Local-gov,136331,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K -28,Private,187397,HS-grad,9,Never-married,Other-service,Other-relative,Other,Male,0,0,48,Mexico,<=50K -28,Self-emp-not-inc,119793,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -42,Private,24982,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -26,Self-emp-not-inc,231714,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -54,Private,229272,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K -66,?,68219,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -61,Self-emp-not-inc,268831,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,53,United-States,<=50K -45,Self-emp-not-inc,149640,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,>50K -29,Private,261725,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K -74,Private,161387,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,16,United-States,<=50K -61,Local-gov,260167,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,200928,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,22,United-States,<=50K -53,Federal-gov,155594,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -57,Self-emp-not-inc,79539,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -41,Private,469454,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,331482,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -43,Private,225193,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -26,?,370727,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,1977,40,United-States,>50K -29,Private,82393,HS-grad,9,Married-civ-spouse,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,25,Philippines,<=50K -65,?,37170,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K -41,Private,58484,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K -31,Local-gov,156464,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Male,0,0,40,?,<=50K -50,Private,344621,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -52,Private,174752,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -18,Self-emp-inc,174202,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K -26,Private,261203,7th-8th,4,Never-married,Other-service,Unmarried,Other,Female,0,0,30,?,<=50K -57,Private,316000,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -63,State-gov,216871,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1740,40,United-States,<=50K -29,Private,246933,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,Mexico,<=50K -32,Self-emp-not-inc,112115,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K -34,Private,264651,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -43,Private,99185,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,58,United-States,<=50K -39,Private,176186,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -28,Private,100219,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,45,United-States,<=50K -32,Private,46691,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,State-gov,297735,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,90,United-States,<=50K -40,Private,132222,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,50,United-States,>50K -25,Private,189656,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,60,United-States,>50K -54,Local-gov,224934,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -48,Self-emp-inc,149218,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,>50K -51,Private,158508,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,36,United-States,<=50K -67,State-gov,261203,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K -17,Private,309504,10th,6,Never-married,Sales,Unmarried,White,Female,0,0,24,United-States,<=50K -24,State-gov,324637,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,267426,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -68,?,229016,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,25,United-States,<=50K -54,Private,46401,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,47,United-States,<=50K -32,Private,114288,HS-grad,9,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -61,?,203849,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -41,Federal-gov,193882,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -53,Private,311269,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Private,156117,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K -64,?,169917,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,0,4,United-States,<=50K -51,Private,222615,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -41,State-gov,106900,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,60,United-States,>50K -40,Federal-gov,78036,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,65,United-States,>50K -27,Private,380560,HS-grad,9,Never-married,Farming-fishing,Other-relative,White,Male,0,0,40,Mexico,<=50K -41,Private,167106,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,3103,0,35,Philippines,>50K -51,Private,289436,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -36,Private,749636,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Self-emp-inc,154120,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,55,United-States,<=50K -43,Private,105119,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -61,Federal-gov,181081,HS-grad,9,Divorced,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K -31,Private,182237,10th,6,Separated,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K -34,Private,102130,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K -43,Private,266324,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,99,United-States,>50K -52,Private,170562,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,240543,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K -37,Federal-gov,187046,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -60,Private,389254,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -47,Private,179955,Some-college,10,Widowed,Transport-moving,Unmarried,White,Female,0,0,25,Outlying-US(Guam-USVI-etc),<=50K -21,Private,197997,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K -34,Self-emp-inc,343789,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,United-States,>50K -28,Private,191088,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,1741,52,United-States,<=50K -40,Local-gov,141649,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -26,Private,433906,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -48,Private,207982,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -46,Private,175925,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K -58,Private,85767,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K -32,Self-emp-inc,281030,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -90,?,313986,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -38,Private,396595,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K -20,?,189203,Assoc-acdm,12,Never-married,?,Not-in-family,White,Male,0,0,20,United-States,<=50K -43,Self-emp-not-inc,163108,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K -17,Private,141590,11th,7,Never-married,Priv-house-serv,Own-child,White,Female,0,0,12,United-States,<=50K -36,Private,137421,12th,8,Never-married,Transport-moving,Not-in-family,Asian-Pac-Islander,Male,0,0,45,?,<=50K -36,Private,67728,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,Italy,<=50K -30,Private,345522,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,70,United-States,>50K -45,Private,330087,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -51,Self-emp-not-inc,204322,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -29,Private,50295,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K -35,Self-emp-not-inc,147258,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,65,United-States,<=50K -19,Private,194260,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -56,Private,437727,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -64,?,34100,Some-college,10,Widowed,?,Not-in-family,White,Male,0,0,4,United-States,<=50K -62,?,186611,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K -24,Private,280960,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,24,United-States,<=50K -33,Private,33117,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,169628,Bachelors,13,Never-married,Sales,Unmarried,Black,Female,0,0,35,United-States,>50K -22,State-gov,124942,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,45,United-States,<=50K -44,Private,143368,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,55,United-States,<=50K -37,Private,255621,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -34,Self-emp-inc,154227,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,75,United-States,<=50K -43,Private,171438,Assoc-voc,11,Separated,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K -39,Private,191524,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -30,Private,377017,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,32,United-States,<=50K -58,Private,192806,7th-8th,4,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,33,United-States,<=50K -31,?,259120,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,10,United-States,<=50K -45,Local-gov,234195,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -30,Private,147596,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -42,Private,147251,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,<=50K -50,Private,176157,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -25,Local-gov,176162,Assoc-voc,11,Never-married,Protective-serv,Own-child,White,Male,0,0,30,United-States,<=50K -34,Private,384150,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -50,Private,107665,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -72,?,82635,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -60,State-gov,165827,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -41,Private,287306,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K -71,Self-emp-not-inc,78786,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,10,United-States,<=50K -40,Self-emp-not-inc,33310,Prof-school,15,Divorced,Other-service,Not-in-family,White,Female,0,2339,35,United-States,<=50K -22,Private,349368,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,30,United-States,<=50K -52,Private,117674,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K -30,Private,310889,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,55,United-States,<=50K -36,?,187167,HS-grad,9,Separated,?,Not-in-family,White,Female,0,0,30,United-States,<=50K -40,Private,379919,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -31,Federal-gov,34862,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -44,Private,201723,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K -38,Local-gov,161463,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K -46,Private,186410,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K -57,Federal-gov,62020,Prof-school,15,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,55,United-States,>50K -39,Private,42044,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -42,Private,170230,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,>50K -43,Private,341358,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -22,Private,199426,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,17,United-States,<=50K -44,Private,89172,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -22,?,148955,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,15,South,<=50K -37,Private,140673,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -20,?,71788,Some-college,10,Never-married,?,Own-child,White,Female,0,0,18,United-States,<=50K -26,State-gov,326033,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,80,United-States,<=50K -35,Private,129305,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K -28,Private,171067,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K -34,Private,143582,Some-college,10,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Japan,<=50K -17,?,171461,10th,6,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -18,Private,257980,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -25,Private,182866,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -44,Self-emp-inc,69333,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -61,Private,668362,1st-4th,2,Widowed,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,132879,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -61,Private,181219,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,40,United-States,>50K -19,?,166018,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -22,Private,120518,HS-grad,9,Widowed,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -19,Private,183532,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K -45,Private,49298,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K -20,Private,157332,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -37,Private,213726,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -26,Private,31143,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -17,?,256173,10th,6,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K -26,Private,184872,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,>50K -58,Private,202652,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,Dominican-Republic,<=50K -61,?,101602,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,>50K -64,Private,60940,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,8614,0,50,France,>50K -19,Private,292590,HS-grad,9,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,25,United-States,<=50K -36,Private,141420,Bachelors,13,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K -47,Private,159389,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,Private,254534,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -36,State-gov,89508,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -38,Self-emp-not-inc,238980,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K -54,Private,178946,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K -31,Private,204752,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -26,Private,290213,Some-college,10,Separated,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -50,Private,102615,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K -41,Private,291965,Some-college,10,Never-married,Tech-support,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -52,Local-gov,175339,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -28,Private,90547,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,23,United-States,<=50K -23,?,449101,HS-grad,9,Married-civ-spouse,?,Own-child,White,Female,0,0,30,United-States,<=50K -46,Self-emp-not-inc,101722,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3137,0,40,United-States,<=50K -32,?,981628,HS-grad,9,Divorced,?,Unmarried,Black,Male,0,0,40,United-States,<=50K -59,?,147989,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,35,United-States,<=50K -30,Self-emp-inc,204470,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,36,United-States,>50K -58,Local-gov,311409,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,7688,0,30,United-States,>50K -31,Private,190027,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,40,?,<=50K -36,Private,218015,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K -31,State-gov,77634,Preschool,1,Never-married,Other-service,Not-in-family,White,Male,0,0,24,United-States,<=50K -52,Self-emp-not-inc,42984,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,>50K -29,Private,413297,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3411,0,70,Mexico,<=50K -48,Self-emp-not-inc,218835,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,England,<=50K -30,Private,341051,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -58,Private,252419,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K -20,Federal-gov,347935,Some-college,10,Never-married,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K -19,Private,237848,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,3,United-States,<=50K -63,Private,174826,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -51,Self-emp-not-inc,170086,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K -53,Private,470368,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K -54,Federal-gov,75235,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K -35,?,35854,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K -26,Private,746432,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,48,United-States,<=50K -47,Self-emp-not-inc,258498,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,52,United-States,<=50K -44,Private,176063,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -80,Self-emp-not-inc,26865,7th-8th,4,Never-married,Farming-fishing,Unmarried,White,Male,0,0,20,United-States,<=50K -55,Private,104724,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -43,Private,346321,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -49,Private,402462,Bachelors,13,Married-spouse-absent,Transport-moving,Unmarried,White,Male,0,0,30,Columbia,<=50K -27,Private,153078,Prof-school,15,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K -42,Private,176063,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K -39,Private,451059,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -36,?,229533,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,106437,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -58,Local-gov,294313,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,55,United-States,<=50K -63,Private,67903,9th,5,Separated,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K -49,Private,133669,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -36,Self-emp-inc,251730,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K -46,Private,72896,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -47,Private,155664,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,55,United-States,>50K -39,Private,206520,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K -33,Private,72338,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,65,Japan,>50K -43,Local-gov,34640,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Other,Male,0,1887,40,United-States,>50K -30,Private,236543,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,68,United-States,<=50K -39,Local-gov,43702,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,37,United-States,<=50K -44,Private,335248,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,198197,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -80,?,281768,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,4,United-States,<=50K -31,Private,160594,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Male,0,0,3,United-States,<=50K -34,Local-gov,231826,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,El-Salvador,<=50K -28,Private,188171,Assoc-acdm,12,Never-married,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K -55,Private,125000,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -36,Private,166509,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Private,402367,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,7688,0,45,United-States,>50K -67,Local-gov,204123,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,10,United-States,<=50K -53,Self-emp-inc,220786,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K -43,Private,254146,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K -29,Local-gov,152461,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,42,United-States,<=50K -19,Private,223669,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -51,Private,120270,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -21,Self-emp-not-inc,304602,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,98,United-States,<=50K -54,Private,24108,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -42,Self-emp-not-inc,32546,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,7430,0,40,United-States,>50K -41,Private,93885,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K -28,Private,210765,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,191276,Assoc-voc,11,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K -82,Self-emp-not-inc,71438,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K -23,Private,330571,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,16,United-States,<=50K -40,Local-gov,138634,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,112264,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -24,Private,205865,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,45,United-States,<=50K -21,Private,224640,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -27,Private,180758,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,United-States,<=50K -29,?,499935,Assoc-voc,11,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K -40,Self-emp-not-inc,107762,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -17,Private,214787,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K -27,Private,211032,1st-4th,2,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K -34,Private,208353,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -18,Private,157273,10th,6,Never-married,Other-service,Other-relative,Black,Male,0,0,15,United-States,<=50K -39,Private,75891,Bachelors,13,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Self-emp-inc,177675,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K -44,Private,182370,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -18,?,200525,11th,7,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -39,Private,174242,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K -28,Private,95566,1st-4th,2,Married-spouse-absent,Other-service,Own-child,Other,Female,0,0,35,Dominican-Republic,<=50K -30,Private,30290,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -60,Private,240951,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -58,Private,183810,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,24,United-States,<=50K -49,Private,94342,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K -61,Self-emp-inc,148577,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -27,Private,103634,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K -59,Self-emp-not-inc,83542,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -52,Federal-gov,76131,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,40,United-States,>50K -42,Federal-gov,262402,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -27,Private,198286,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,34,United-States,<=50K -41,Self-emp-inc,145441,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -35,?,273558,Some-college,10,Never-married,?,Not-in-family,Black,Male,0,0,30,United-States,<=50K -50,Local-gov,117496,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,24,United-States,<=50K -36,Private,128876,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,Private,199698,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,45,United-States,<=50K -38,Private,65390,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -46,Private,128645,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -59,Private,53481,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -55,Private,92215,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -49,Local-gov,78859,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,0,323,20,United-States,<=50K -59,Self-emp-inc,187502,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -38,Private,242080,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K -22,Private,41837,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,25,United-States,<=50K -28,Private,291374,12th,8,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K -47,Private,148995,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,60,United-States,>50K -59,Private,159008,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,<=50K -37,Private,271013,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,199046,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -34,Private,164280,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Portugal,<=50K -35,Local-gov,116960,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K -55,Private,100054,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -18,Private,183824,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K -48,Private,313925,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,>50K -48,Private,379883,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Cuba,>50K -70,?,92593,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,25,United-States,<=50K -27,Private,189777,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,198330,Masters,14,Widowed,Prof-specialty,Unmarried,Black,Female,0,0,37,United-States,<=50K -32,Private,127451,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K -62,?,31577,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,18,United-States,<=50K -18,?,90230,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K -50,Private,301024,Bachelors,13,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K -38,Self-emp-not-inc,175732,HS-grad,9,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,15,United-States,<=50K -18,Private,218889,9th,5,Never-married,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K -46,Private,117605,9th,5,Divorced,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K -26,Private,154571,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,45,United-States,>50K -44,Private,228057,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Dominican-Republic,<=50K -32,Private,173998,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -25,Private,90752,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -55,Private,51008,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -55,Federal-gov,113398,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K -25,Private,74977,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K -40,Private,101593,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -29,Private,228346,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -60,Private,180418,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,44489,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K -43,Self-emp-not-inc,277488,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -24,Private,103064,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,55,United-States,<=50K -34,Private,226872,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Self-emp-not-inc,330416,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K -24,Private,186495,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K -47,State-gov,205712,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,38,United-States,<=50K -18,Private,217743,11th,7,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -50,Self-emp-inc,52565,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1485,40,United-States,<=50K -22,Private,239954,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K -49,Self-emp-not-inc,349986,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -41,Private,117585,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,40,United-States,>50K -68,Self-emp-not-inc,122094,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,15,United-States,<=50K -62,Self-emp-not-inc,26857,7th-8th,4,Widowed,Farming-fishing,Other-relative,White,Female,0,0,35,United-States,<=50K -25,Local-gov,192321,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -24,Private,88095,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,24,Mexico,<=50K -44,Private,144067,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,12,?,<=50K -32,Private,124187,9th,5,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K -49,Private,123681,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,>50K -68,Private,145638,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,130513,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,40,Peru,<=50K -47,Federal-gov,197038,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -35,Private,189092,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -37,Self-emp-not-inc,198841,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,317969,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K -37,Private,103121,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1848,40,United-States,>50K -34,Private,111589,10th,6,Never-married,Other-service,Unmarried,Black,Female,0,0,40,Jamaica,<=50K -46,Local-gov,267952,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,36,United-States,<=50K -21,Private,63899,11th,7,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -26,Private,473625,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K -45,Private,187901,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,2258,44,United-States,>50K -17,Private,24090,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,35,United-States,<=50K -36,Self-emp-inc,102729,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,<=50K -33,Private,91666,12th,8,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,215873,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K -32,Private,152109,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -24,Private,175586,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K -37,Private,232614,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K -53,State-gov,229465,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -44,Private,147110,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,14344,0,40,United-States,>50K -43,Local-gov,161240,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K -29,Private,358124,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,52,United-States,<=50K -47,Private,222529,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K -37,Self-emp-not-inc,338320,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K -43,Self-emp-inc,62026,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K -23,Private,263886,Some-college,10,Never-married,Sales,Not-in-family,Black,Female,0,0,20,United-States,<=50K -50,Private,310774,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K -25,Private,98155,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -40,Private,259307,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K -39,Private,358753,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K -41,Private,29762,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K -32,Private,202729,HS-grad,9,Married-civ-spouse,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,28790,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,Private,53209,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -30,Local-gov,169020,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -34,Private,127195,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -41,Private,211731,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Mexico,<=50K -42,Self-emp-not-inc,126614,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Other,Male,0,0,30,Iran,<=50K -45,Private,259463,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -22,Private,228411,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K -25,Private,117827,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -22,Federal-gov,57216,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K -46,State-gov,250821,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K -48,Self-emp-inc,88564,Some-college,10,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,45,United-States,<=50K -45,Private,172822,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,52,United-States,>50K -19,Private,251579,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,14,United-States,<=50K -31,Private,118399,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -30,Self-emp-inc,178383,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,70,United-States,<=50K -40,Self-emp-not-inc,170866,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -60,?,268954,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,12,United-States,>50K -52,?,89951,12th,8,Married-civ-spouse,?,Wife,Black,Female,0,0,40,United-States,>50K -22,Private,203894,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K -25,Private,237065,Some-college,10,Divorced,Other-service,Own-child,Black,Male,0,0,38,United-States,<=50K -51,Local-gov,108435,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,>50K -32,Private,93213,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,62,United-States,<=50K -51,Self-emp-inc,231230,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K -42,Private,386175,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K -39,Private,128392,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K -24,Private,223515,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -52,Private,208630,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,1741,38,United-States,<=50K -58,?,97969,1st-4th,2,Married-spouse-absent,?,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -43,Private,174295,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -31,Private,60229,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -28,Private,66095,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -31,Federal-gov,130057,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K -61,Private,179743,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,20,United-States,<=50K -26,Private,192022,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K -46,Private,45288,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -62,?,178764,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K -50,Private,99476,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K -18,Private,41973,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,5,United-States,<=50K -23,Private,162228,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K -21,Private,211968,Some-college,10,Never-married,Sales,Own-child,White,Female,0,1762,28,United-States,<=50K -46,Private,211226,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,Other,Male,0,0,36,United-States,<=50K -38,Private,33397,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -53,Private,120839,12th,8,Divorced,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K -53,Private,36327,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -50,Private,139703,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -26,Private,107827,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,25,United-States,<=50K -46,Local-gov,140219,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,8614,0,55,United-States,>50K -44,Local-gov,203761,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -36,Local-gov,114719,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -20,Private,344394,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K -35,Private,195516,7th-8th,4,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,Mexico,<=50K -40,State-gov,31627,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,20,United-States,<=50K -70,Private,174032,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -57,Private,226875,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K -40,Private,566537,Preschool,1,Married-civ-spouse,Other-service,Husband,White,Male,0,1672,40,Mexico,<=50K -18,Private,36162,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,5,United-States,<=50K -45,Self-emp-not-inc,31478,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,2829,0,60,United-States,<=50K -52,Private,294991,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -24,?,108495,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -42,Self-emp-inc,161532,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,60,United-States,<=50K -28,Local-gov,332249,HS-grad,9,Separated,Transport-moving,Own-child,White,Male,0,0,45,United-States,<=50K -32,Private,268147,Assoc-voc,11,Never-married,Tech-support,Unmarried,White,Female,0,0,60,United-States,<=50K -56,Federal-gov,317847,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -44,Private,52028,1st-4th,2,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K -20,Private,184045,Some-college,10,Never-married,Sales,Unmarried,Black,Female,0,0,30,United-States,<=50K -32,Private,206609,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -59,Private,152968,Some-college,10,Separated,Adm-clerical,Other-relative,White,Male,3325,0,40,United-States,<=50K -21,Private,213015,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,2176,0,40,United-States,<=50K -32,Private,313835,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -49,Private,66385,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,5013,0,40,United-States,<=50K -22,Private,205940,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,1055,0,30,United-States,<=50K -51,Self-emp-inc,260938,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -33,Private,60567,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3411,0,40,United-States,<=50K -23,Private,335067,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K -34,Private,331126,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,30,United-States,<=50K -53,Private,156612,12th,8,Divorced,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,188436,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K -60,Private,227468,Some-college,10,Widowed,Protective-serv,Not-in-family,Black,Female,0,0,40,United-States,<=50K -55,Private,183580,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K -57,Self-emp-not-inc,50990,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K -59,Private,384246,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -26,?,375313,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K -30,Private,176410,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Own-child,White,Female,7298,0,16,United-States,>50K -49,Private,93639,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,43,United-States,<=50K -45,Private,30289,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Self-emp-inc,124950,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K -37,Self-emp-not-inc,126675,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K -21,Private,145964,12th,8,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -36,State-gov,345712,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -18,?,97474,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K -37,Private,180342,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -19,Private,167087,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -65,?,192825,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K -30,Private,318749,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,35,Germany,<=50K -27,?,147638,Masters,14,Never-married,?,Not-in-family,Other,Female,0,0,40,Japan,<=50K -59,Federal-gov,293971,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K -32,Private,229566,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,>50K -25,Private,242464,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,111067,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,80,United-States,>50K -21,?,155697,9th,5,Never-married,?,Own-child,White,Male,0,0,42,United-States,<=50K -49,Local-gov,106554,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K -49,Private,23776,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -51,?,43909,HS-grad,9,Divorced,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -48,Private,105808,9th,5,Widowed,Transport-moving,Unmarried,White,Male,0,0,40,United-States,>50K -42,Private,169995,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K -53,Private,141388,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -29,Self-emp-not-inc,241431,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K -21,?,78374,HS-grad,9,Never-married,?,Other-relative,Asian-Pac-Islander,Female,0,0,24,United-States,<=50K -54,Self-emp-not-inc,158948,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,15,United-States,<=50K -66,Private,115498,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,55,?,>50K -34,Private,272411,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -39,Private,30529,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K -62,?,263374,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,40,Canada,<=50K -30,Private,190228,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,126060,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -25,Private,391192,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -26,Private,214069,HS-grad,9,Separated,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,170871,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,60,United-States,>50K -55,Private,118993,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,10,United-States,<=50K -26,Private,245880,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K -45,Private,174794,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,56,Germany,<=50K -61,Local-gov,153408,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K -34,?,330301,7th-8th,4,Separated,?,Unmarried,Black,Female,0,0,40,United-States,<=50K -26,Private,385278,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,60,United-States,<=50K -44,Federal-gov,38434,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -45,Self-emp-not-inc,111679,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K -55,Private,168956,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,86143,Some-college,10,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K -48,Private,99835,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -33,Private,263561,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K -44,Private,118536,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -32,Self-emp-inc,209691,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Canada,<=50K -54,Private,123374,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -40,Private,137225,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -29,Private,119359,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,10,China,>50K -56,Private,134153,10th,6,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K -47,Private,121124,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -22,Private,147655,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -46,Private,165138,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K -24,Federal-gov,312017,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -37,Private,272950,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,259323,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K -44,Federal-gov,281739,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,13550,0,50,United-States,>50K -21,Private,119156,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K -55,Private,165881,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -23,State-gov,136075,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K -50,Private,187465,11th,7,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -44,Private,328561,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,20,United-States,<=50K -48,Private,350440,Some-college,10,Married-civ-spouse,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,40,Cambodia,>50K -38,Self-emp-not-inc,109133,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K -48,Private,109814,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,45,United-States,>50K -39,Private,86643,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -52,Federal-gov,154521,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,44,United-States,>50K -63,Private,45912,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K -48,Private,175070,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,2258,40,United-States,>50K -37,Private,338033,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -26,State-gov,158963,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Self-emp-inc,121441,11th,7,Never-married,Exec-managerial,Other-relative,White,Male,0,2444,40,United-States,>50K -47,Self-emp-not-inc,242391,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -19,Private,119964,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Female,0,0,15,United-States,<=50K -34,Private,193344,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,Germany,<=50K -29,Local-gov,45554,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -33,Private,249716,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K -53,Private,58985,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,24,United-States,<=50K -24,Private,456367,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -39,Private,117381,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K -50,Self-emp-not-inc,240922,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,1408,5,United-States,<=50K -31,Private,226443,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,364342,Assoc-voc,11,Never-married,Sales,Not-in-family,Black,Female,0,0,25,United-States,<=50K -42,Local-gov,101593,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,42,United-States,<=50K -23,Private,267471,12th,8,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K -22,Private,186849,11th,7,Divorced,Sales,Own-child,White,Male,0,0,50,United-States,<=50K -65,Private,174603,5th-6th,3,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,10,Italy,<=50K -34,Private,115040,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K -23,Private,142766,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,1055,0,20,United-States,<=50K -38,Private,59660,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K -45,Self-emp-not-inc,49595,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,<=50K -19,Private,127491,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K -46,Private,155933,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,1602,8,United-States,<=50K -23,Private,122272,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K -37,Private,143771,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -59,Private,91384,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K -36,State-gov,135874,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -35,Private,207066,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,10520,0,45,United-States,>50K -51,Private,172493,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,12,United-States,<=50K -42,Local-gov,189956,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,30,United-States,<=50K -35,Private,106967,Masters,14,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K -20,Private,200153,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,38,United-States,<=50K -25,Private,149943,HS-grad,9,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,4101,0,60,?,<=50K -41,Private,151736,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -40,Private,67852,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,35,United-States,<=50K -36,Private,54229,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,37,United-States,<=50K -34,Self-emp-inc,154120,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K -44,Self-emp-not-inc,157217,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K -31,Federal-gov,381645,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K -41,Local-gov,160785,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,133584,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -43,Private,170230,Masters,14,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -58,Private,250206,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K -19,Private,128363,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K -43,Local-gov,163434,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,55,United-States,>50K -50,Private,195690,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K -44,Self-emp-inc,138991,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -46,Private,118419,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,38,United-States,<=50K -52,Self-emp-not-inc,185407,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -52,Self-emp-not-inc,283079,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -18,Private,119655,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K -29,Private,153416,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K -19,?,204868,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,36,United-States,<=50K -34,Private,220362,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -23,Local-gov,203078,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K -64,State-gov,104361,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,65,United-States,<=50K -68,Private,274096,10th,6,Divorced,Transport-moving,Not-in-family,White,Male,0,0,20,United-States,<=50K -42,State-gov,455553,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -41,Private,112283,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K -41,Self-emp-inc,64506,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K -22,State-gov,24395,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K -67,Self-emp-inc,182581,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,20,United-States,>50K -27,Private,100669,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K -25,Private,178025,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -49,?,113913,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,60,United-States,<=50K -28,Private,55191,Assoc-acdm,12,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K -51,Federal-gov,223206,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,15024,0,40,Vietnam,>50K -23,Local-gov,162551,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,35,China,<=50K -19,Private,693066,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K -72,?,96867,5th-6th,3,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,256362,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -53,Private,539864,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,20,United-States,<=50K -35,Private,241153,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,284395,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -18,Private,180039,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K -45,Private,178416,Assoc-voc,11,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,175710,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,?,<=50K -22,Local-gov,164775,5th-6th,3,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Guatemala,>50K -55,Private,176897,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K -45,Private,265097,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,1902,40,United-States,>50K -22,Private,193090,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,37,United-States,<=50K -37,Private,186009,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1672,60,United-States,<=50K -28,Private,175262,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -19,Private,109928,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,35,United-States,<=50K -37,Self-emp-not-inc,162834,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,45,United-States,>50K -50,Private,177896,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K -31,Private,181372,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K -40,Private,70645,Preschool,1,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K -51,Private,128272,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -56,Private,106723,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -21,Private,122348,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,35,United-States,<=50K -40,Private,177905,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,44,United-States,>50K -22,Private,254547,Some-college,10,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,Jamaica,<=50K -47,Self-emp-inc,102308,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,45,United-States,>50K -44,Private,33105,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -30,Private,215441,Some-college,10,Never-married,Adm-clerical,Not-in-family,Other,Male,0,0,40,?,<=50K -44,Local-gov,197919,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K -41,Private,206139,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K -47,Private,117849,Assoc-acdm,12,Divorced,Sales,Own-child,White,Male,0,0,44,United-States,<=50K -26,Private,323044,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,Germany,>50K -34,Private,90415,Assoc-voc,11,Never-married,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K -47,Private,294913,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K -36,Private,127573,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K -21,Private,180190,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,46,United-States,<=50K -45,State-gov,231013,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -33,Private,356015,HS-grad,9,Separated,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,35,Hong,<=50K -33,Private,198069,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,65,United-States,<=50K -58,Self-emp-not-inc,99141,HS-grad,9,Divorced,Farming-fishing,Unmarried,White,Female,0,0,10,United-States,<=50K -31,Private,188246,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K -32,Self-emp-not-inc,116508,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K -44,Federal-gov,38434,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K -24,Private,128477,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -35,Private,91839,Bachelors,13,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,7688,0,20,United-States,>50K -43,Private,409922,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K -49,Private,185041,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -37,Self-emp-not-inc,103925,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K -42,Self-emp-not-inc,34037,Bachelors,13,Never-married,Farming-fishing,Own-child,White,Male,0,0,35,United-States,<=50K -31,Private,251659,Some-college,10,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,1485,55,?,>50K -19,Private,57145,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K -41,Private,182108,Doctorate,16,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,>50K -51,Self-emp-inc,213296,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K -51,Self-emp-inc,28765,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -63,Private,37792,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,31,United-States,<=50K -39,Federal-gov,232036,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K -30,Private,33678,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -62,Without-pay,159908,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,16,United-States,<=50K -27,Private,176761,HS-grad,9,Never-married,Craft-repair,Other-relative,Other,Male,0,0,40,Nicaragua,<=50K -32,Private,260954,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2042,30,United-States,<=50K -37,Local-gov,180342,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K -47,Local-gov,324791,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,50,United-States,>50K -31,Private,183801,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,43,United-States,>50K -42,Private,204235,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,249720,Assoc-voc,11,Married-spouse-absent,Sales,Unmarried,Black,Female,0,0,32,United-States,<=50K -60,Private,127084,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,2042,34,United-States,<=50K -42,Local-gov,201495,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,>50K -38,Private,447346,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,>50K -24,Private,206008,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,Black,Male,0,0,20,United-States,<=50K -34,Private,286020,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K -20,?,99891,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K -29,Local-gov,169544,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,48,United-States,<=50K -90,Private,313749,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,25,United-States,<=50K -55,Private,89182,12th,8,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Italy,<=50K -36,Private,258102,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K -49,Private,255466,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K -50,Private,38795,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -17,Private,311907,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K -54,Private,171924,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -26,Private,164488,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,10,United-States,<=50K -44,Private,297991,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,50,United-States,<=50K -28,Private,478315,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K -54,Local-gov,34832,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -21,Private,67804,9th,5,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,20,United-States,<=50K -24,Private,34568,Assoc-voc,11,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,47151,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,56,United-States,<=50K -59,?,120617,Some-college,10,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K -41,Private,318046,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,>50K -29,Private,363963,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -50,Private,92811,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K -32,Private,33678,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K -42,Private,66118,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K -47,Private,160474,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,>50K -44,Private,159960,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -49,Private,242987,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Columbia,<=50K -61,Private,232719,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -65,Local-gov,103153,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1411,40,United-States,<=50K -45,Local-gov,162187,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K -59,Private,207391,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -30,Never-worked,176673,HS-grad,9,Married-civ-spouse,?,Wife,Black,Female,0,0,40,United-States,<=50K -34,Private,356882,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -24,Private,427686,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K -42,Self-emp-inc,191196,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,?,>50K -37,Private,377798,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K -36,Private,43712,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -21,?,205939,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -54,Private,161691,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,2559,40,United-States,>50K -34,Private,346034,12th,8,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,0,35,Mexico,<=50K -41,Private,144460,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,Italy,<=50K -18,Never-worked,153663,Some-college,10,Never-married,?,Own-child,White,Male,0,0,4,United-States,<=50K -26,Private,262617,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -23,Federal-gov,173851,HS-grad,9,Never-married,Armed-Forces,Not-in-family,White,Male,0,0,8,United-States,<=50K -63,?,126540,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,5,United-States,<=50K -34,Private,117963,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K -54,Private,219737,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,37,United-States,<=50K -37,Private,328466,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,Mexico,<=50K -54,State-gov,138852,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -22,Local-gov,195532,Some-college,10,Never-married,Protective-serv,Other-relative,White,Female,0,0,43,United-States,<=50K -32,Private,188246,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -42,State-gov,138162,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -31,State-gov,110714,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,37,United-States,<=50K -48,Private,123075,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K -28,Private,330466,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Hong,<=50K -31,Private,254304,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K -28,Private,435842,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K -24,Private,118657,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,278188,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,45,United-States,<=50K -26,Private,233777,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,Mexico,<=50K -37,Self-emp-inc,328466,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K -24,Private,176580,5th-6th,3,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,40,Mexico,<=50K -18,?,156608,11th,7,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K -32,Private,172415,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K -23,Private,194951,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,55,Ireland,<=50K -33,Local-gov,318921,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Female,0,0,35,United-States,<=50K -49,Private,189462,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -75,Self-emp-not-inc,192813,Masters,14,Widowed,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K -74,Self-emp-not-inc,199136,Bachelors,13,Widowed,Craft-repair,Not-in-family,White,Male,15831,0,8,Germany,>50K -26,Private,156805,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K -66,?,93318,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K -34,Private,121966,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K -18,Private,347336,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K -33,Private,205950,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -36,State-gov,212143,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K -44,Private,187821,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K -36,Private,250807,11th,7,Never-married,Craft-repair,Not-in-family,Black,Female,0,0,40,United-States,<=50K -53,Private,291755,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -60,Private,36077,7th-8th,4,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K -28,Private,119793,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K -36,Private,184655,10th,6,Divorced,Transport-moving,Unmarried,White,Male,0,0,48,United-States,<=50K -35,Private,162256,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,6849,0,40,United-States,<=50K -45,Self-emp-not-inc,204405,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K -23,Private,133355,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K -35,Private,89559,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,55,United-States,<=50K -34,Private,115066,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K -46,Private,139514,Preschool,1,Married-civ-spouse,Machine-op-inspct,Other-relative,Black,Male,0,0,75,Dominican-Republic,<=50K -58,State-gov,200316,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -55,Local-gov,166502,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K -63,Private,226422,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -41,Self-emp-not-inc,251305,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,190482,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,76,United-States,<=50K -41,Private,122215,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K -42,Private,248356,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -90,Local-gov,214594,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,2653,0,40,United-States,<=50K -41,Private,220460,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K -22,Private,174043,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -53,Self-emp-not-inc,137547,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,27828,0,40,Philippines,>50K -49,Self-emp-not-inc,111959,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Scotland,>50K -51,Private,40641,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K -22,Private,205940,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -23,Private,265077,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -59,Private,395736,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K -40,Private,306225,HS-grad,9,Divorced,Craft-repair,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Japan,<=50K -28,Private,180299,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K -39,Private,214896,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,El-Salvador,<=50K -25,Private,273792,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,37,United-States,<=50K -48,State-gov,224474,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -62,Private,271431,9th,5,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,42,United-States,<=50K -44,Local-gov,150171,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -28,Federal-gov,381789,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K -62,Private,170984,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K -32,Private,108256,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -59,Federal-gov,23789,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K -20,Private,176321,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,20,United-States,<=50K -40,Private,260425,Assoc-acdm,12,Separated,Tech-support,Unmarried,White,Female,1471,0,32,United-States,<=50K -47,Private,248059,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,47,United-States,>50K -60,Private,56248,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -55,Private,199763,HS-grad,9,Separated,Protective-serv,Not-in-family,White,Male,0,0,81,United-States,<=50K -18,Private,200047,12th,8,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K -43,Private,191712,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,1741,40,United-States,<=50K -31,Self-emp-not-inc,156033,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K -22,Private,173736,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K -56,Private,135458,HS-grad,9,Divorced,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K -41,Private,185660,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -24,Private,222005,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K -42,Private,161510,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K -53,Local-gov,186303,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,40,United-States,>50K -52,Local-gov,143533,7th-8th,4,Never-married,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K -42,Private,288154,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,89,United-States,>50K -48,Private,325372,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Portugal,<=50K -35,Private,379959,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K -33,Private,168387,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -20,Private,234640,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -33,Private,232475,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K -30,Private,205152,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K -31,Private,112115,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -29,Private,183854,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K -26,Private,164386,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,48,United-States,<=50K -61,Private,149620,Some-college,10,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -45,Private,199590,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,<=50K -29,Private,83742,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K -57,Self-emp-not-inc,65080,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K -33,Private,191335,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,50,United-States,>50K -20,Private,227778,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,56,United-States,<=50K -26,Private,48280,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Private,66304,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K -23,Private,45834,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K -31,Private,298995,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,35,United-States,<=50K -47,Private,161950,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -61,Private,98776,11th,7,Widowed,Handlers-cleaners,Not-in-family,White,Female,0,0,30,United-States,<=50K -35,Private,102268,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K -23,Private,180771,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Wife,Amer-Indian-Eskimo,Female,0,0,35,Mexico,<=50K -20,?,203992,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K -41,Private,206878,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K -39,Federal-gov,110622,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K -51,Local-gov,203334,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K -61,Self-emp-not-inc,50483,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,56,United-States,<=50K -51,Private,274502,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,48,United-States,<=50K -36,Private,208068,Preschool,1,Divorced,Other-service,Not-in-family,Other,Male,0,0,72,Mexico,<=50K -41,Self-emp-not-inc,168098,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -34,Private,213307,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Female,7443,0,35,United-States,<=50K -25,Private,175128,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -37,Private,40955,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K -19,Private,60890,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,49,United-States,<=50K -66,Self-emp-not-inc,102686,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,>50K -23,Private,190273,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K -30,Self-emp-not-inc,176185,Some-college,10,Married-spouse-absent,Craft-repair,Own-child,White,Male,0,0,60,United-States,>50K -53,Private,304504,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,45,United-States,>50K -25,Private,390657,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K -18,Private,41381,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,1602,20,United-States,<=50K -51,Private,101432,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -61,Private,190682,HS-grad,9,Widowed,Craft-repair,Not-in-family,Black,Female,0,1669,50,United-States,<=50K -53,Private,158993,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,38,United-States,<=50K -17,Private,117798,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K -61,Private,137554,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -44,Self-emp-inc,71556,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,?,>50K -38,Private,257416,9th,5,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K -40,Private,195617,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,20,United-States,<=50K -32,Private,236318,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,32,United-States,<=50K -46,Private,42251,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K -50,Private,257933,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K -36,Self-emp-not-inc,109133,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K -30,Self-emp-not-inc,261943,11th,7,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,30,Honduras,<=50K -33,Private,139057,Masters,14,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K -36,Private,237943,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,45,United-States,>50K -85,Private,98611,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,3,Poland,<=50K -62,Private,128092,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K -24,Private,284317,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,32,United-States,<=50K -48,Self-emp-inc,185041,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,United-States,>50K -58,Local-gov,223214,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -45,Self-emp-inc,173664,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K -66,Private,269665,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,25,United-States,<=50K -37,Private,121521,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K -55,Private,199713,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K -39,Self-emp-not-inc,193689,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,<=50K -58,Self-emp-inc,181974,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,99,?,<=50K -50,Private,485710,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K -28,Private,185647,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K -34,Private,30673,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K -41,Federal-gov,160467,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,1506,0,40,United-States,<=50K -36,Private,186819,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K -22,Private,67234,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,45,United-States,<=50K -35,Private,30673,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,84,United-States,<=50K -49,?,114648,12th,8,Divorced,?,Other-relative,Black,Male,0,0,40,United-States,<=50K -21,Private,182117,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K -64,State-gov,222966,7th-8th,4,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K -41,Private,201495,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -52,Private,301229,Assoc-voc,11,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K -32,Private,157747,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -27,Private,155382,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K -48,Private,268083,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K -28,Private,113987,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -24,Private,216984,Some-college,10,Married-civ-spouse,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,35,United-States,<=50K -51,Private,177669,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K -32,Private,164190,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K -61,Private,355645,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,<=50K -60,?,134152,9th,5,Divorced,?,Not-in-family,Black,Male,0,0,35,United-States,<=50K -33,Private,63079,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K -42,Self-emp-not-inc,217597,HS-grad,9,Divorced,Sales,Own-child,White,Male,0,0,50,?,<=50K -24,Private,381895,11th,7,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K -82,?,403910,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,3,United-States,<=50K -26,Private,179010,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K -18,Private,436163,11th,7,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K -34,Private,321709,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K -57,Private,153918,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -25,Private,403788,HS-grad,9,Never-married,Craft-repair,Other-relative,Black,Male,0,0,40,United-States,<=50K -34,Private,60567,11th,7,Divorced,Transport-moving,Unmarried,White,Male,0,880,60,United-States,<=50K -71,Private,138145,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K -35,Local-gov,79649,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K -47,Private,312088,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -50,Private,208630,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,>50K -33,Private,182401,10th,6,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K -38,Private,32916,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K -50,Private,302372,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K -45,Private,155093,10th,6,Divorced,Other-service,Not-in-family,Black,Female,0,0,38,Dominican-Republic,<=50K -32,Private,192965,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K -39,Private,107302,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,?,>50K -25,Local-gov,514716,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K -20,Private,270436,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K -46,Private,42972,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,22,United-States,>50K -40,Private,142657,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,45,United-States,<=50K -66,Federal-gov,47358,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,3471,0,40,United-States,<=50K -30,Private,176175,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,24,United-States,<=50K -36,Private,131459,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K -57,Local-gov,110417,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K -46,Private,364548,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K -27,Private,177398,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,64,United-States,<=50K -33,Private,273243,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K -58,Private,147707,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K -30,Private,77266,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K -26,Private,191648,Assoc-acdm,12,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,15,United-States,<=50K -81,?,120478,Assoc-voc,11,Divorced,?,Unmarried,White,Female,0,0,1,?,<=50K -32,Private,211349,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K -22,Private,203715,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K -31,Private,292592,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K -29,Private,125976,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K -35,?,320084,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,55,United-States,>50K -30,?,33811,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,99,United-States,<=50K -34,Private,204461,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K -54,Private,337992,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,Japan,>50K -37,Private,179137,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,39,United-States,<=50K -22,Private,325033,12th,8,Never-married,Protective-serv,Own-child,Black,Male,0,0,35,United-States,<=50K -34,Private,160216,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,>50K -30,Private,345898,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,46,United-States,<=50K -38,Private,139180,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,15020,0,45,United-States,>50K -71,?,287372,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,>50K -45,State-gov,252208,HS-grad,9,Separated,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K -41,?,202822,HS-grad,9,Separated,?,Not-in-family,Black,Female,0,0,32,United-States,<=50K -72,?,129912,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K -45,Local-gov,119199,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,48,United-States,<=50K -31,Private,199655,Masters,14,Divorced,Other-service,Not-in-family,Other,Female,0,0,30,United-States,<=50K -39,Local-gov,111499,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K -37,Private,198216,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K -43,Private,260761,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K -65,Self-emp-not-inc,99359,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,1086,0,60,United-States,<=50K -43,State-gov,255835,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K -43,Self-emp-not-inc,27242,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K -32,Private,34066,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K -43,Private,84661,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K -32,Private,116138,Masters,14,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,11,Taiwan,<=50K -53,Private,321865,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K -22,Private,310152,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K -27,Private,257302,Assoc-acdm,12,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,38,United-States,<=50K -40,Private,154374,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K -58,Private,151910,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K -22,Private,201490,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K -52,Self-emp-inc,287927,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,40,United-States,>50K \ No newline at end of file diff --git a/baselines/flanders/flanders/datasets_files/houses_preprocessed.csv b/baselines/flanders/flanders/datasets_files/houses_preprocessed.csv deleted file mode 100644 index 0d4685fce381..000000000000 --- a/baselines/flanders/flanders/datasets_files/houses_preprocessed.csv +++ /dev/null @@ -1,15740 +0,0 @@ -,longitude,latitude,housing_median_age,total_rooms,total_bedrooms,population,households,median_income,median_house_value,ocean_proximity_<1H OCEAN,ocean_proximity_INLAND,ocean_proximity_ISLAND,ocean_proximity_NEAR BAY,ocean_proximity_NEAR OCEAN,household_per_room,bedrooms_per_room,household_per_population,total_income -0,-122.23,37.88,41.0,880.0,129.0,322.0,126.0,8.3252,452600.0,0,0,0,1,0,0.1431818181818182,0.14659090909090908,0.391304347826087,1048.9752 -1,-122.22,37.86,21.0,7099.0,1106.0,2401.0,1138.0,8.3014,358500.0,0,0,0,1,0,0.1603042682067897,0.15579659106916466,0.4739691795085381,9446.993199999999 -2,-122.24,37.85,52.0,1467.0,190.0,496.0,177.0,7.2574,352100.0,0,0,0,1,0,0.12065439672801637,0.12951601908657123,0.35685483870967744,1284.5598 -3,-122.25,37.85,52.0,1274.0,235.0,558.0,219.0,5.6431,341300.0,0,0,0,1,0,0.17189952904238617,0.18445839874411302,0.3924731182795699,1235.8389 -4,-122.25,37.85,52.0,1627.0,280.0,565.0,259.0,3.8462,342200.0,0,0,0,1,0,0.15918869084204057,0.1720958819913952,0.4584070796460177,996.1658 -5,-122.25,37.85,52.0,919.0,213.0,413.0,193.0,4.0368,269700.0,0,0,0,1,0,0.2100108813928183,0.23177366702937977,0.46731234866828086,779.1024000000001 -6,-122.25,37.84,52.0,2535.0,489.0,1094.0,514.0,3.6591,299200.0,0,0,0,1,0,0.20276134122287967,0.19289940828402366,0.46983546617915906,1880.7774 -7,-122.25,37.84,52.0,3104.0,687.0,1157.0,647.0,3.12,241400.0,0,0,0,1,0,0.20844072164948454,0.22132731958762886,0.5592048401037165,2018.64 -8,-122.26,37.84,42.0,2555.0,665.0,1206.0,595.0,2.0804,226700.0,0,0,0,1,0,0.2328767123287671,0.2602739726027397,0.49336650082918737,1237.838 -9,-122.25,37.84,52.0,3549.0,707.0,1551.0,714.0,3.6912,261100.0,0,0,0,1,0,0.20118343195266272,0.1992110453648915,0.46034816247582205,2635.5168 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-1960,-120.67,38.76,35.0,2104.0,403.0,1060.0,400.0,2.1682,138100.0,0,1,0,0,0,0.19011406844106463,0.19153992395437264,0.37735849056603776,867.2800000000001 -1961,-120.7,38.75,19.0,2325.0,430.0,967.0,376.0,2.9,158700.0,0,1,0,0,0,0.16172043010752687,0.18494623655913978,0.38883143743536713,1090.3999999999999 -1962,-120.71,38.73,17.0,2146.0,396.0,862.0,351.0,2.9219,141300.0,0,1,0,0,0,0.1635601118359739,0.18452935694315004,0.4071925754060325,1025.5869 -1963,-120.58,38.77,15.0,2155.0,394.0,857.0,356.0,4.03,141200.0,0,1,0,0,0,0.16519721577726218,0.182830626450116,0.41540256709451573,1434.68 -1964,-120.58,38.77,21.0,1661.0,406.0,789.0,319.0,2.3583,108700.0,0,1,0,0,0,0.19205298013245034,0.24443106562311862,0.40430925221799746,752.2977 -1965,-120.6,38.76,22.0,1236.0,273.0,615.0,248.0,3.0217,106900.0,0,1,0,0,0,0.20064724919093851,0.220873786407767,0.4032520325203252,749.3816 -1966,-120.59,38.76,21.0,1728.0,417.0,731.0,334.0,1.7266,94700.0,0,1,0,0,0,0.19328703703703703,0.24131944444444445,0.45690834473324216,576.6844 -1967,-120.63,38.75,17.0,3145.0,621.0,1432.0,559.0,2.7201,117500.0,0,1,0,0,0,0.17774244833068362,0.19745627980922098,0.39036312849162014,1520.5359 -1968,-120.7,38.69,13.0,4492.0,821.0,2093.0,734.0,4.0709,151700.0,0,1,0,0,0,0.16340160284951025,0.1827693677649154,0.3506927854753942,2988.0406 -1969,-120.63,38.73,11.0,4577.0,836.0,1944.0,700.0,4.0675,140200.0,0,1,0,0,0,0.1529386060738475,0.18265239239676645,0.360082304526749,2847.25 -1970,-120.62,38.71,10.0,6305.0,1150.0,2597.0,921.0,4.0197,132200.0,0,1,0,0,0,0.14607454401268835,0.1823949246629659,0.3546399691952253,3702.1437 -1971,-120.63,38.68,14.0,1821.0,316.0,769.0,266.0,3.0789,131700.0,0,1,0,0,0,0.14607358594179023,0.17353102690829214,0.3459037711313394,818.9874 -1972,-120.54,38.75,9.0,3006.0,540.0,1102.0,418.0,3.9812,136600.0,0,1,0,0,0,0.13905522288755823,0.17964071856287425,0.3793103448275862,1664.1416 -1973,-120.76,38.6,14.0,2925.0,625.0,1226.0,437.0,2.5865,133800.0,0,1,0,0,0,0.1494017094017094,0.21367521367521367,0.3564437194127243,1130.3005 -1974,-120.66,38.61,19.0,2715.0,596.0,1301.0,473.0,2.5042,126400.0,0,1,0,0,0,0.1742173112338858,0.21952117863720075,0.3635664873174481,1184.4866 -1975,-120.72,38.57,8.0,892.0,185.0,427.0,164.0,2.6833,118800.0,0,1,0,0,0,0.18385650224215247,0.20739910313901344,0.3840749414519906,440.0612 -1976,-120.59,38.53,15.0,432.0,87.0,208.0,73.0,3.6125,100000.0,0,1,0,0,0,0.16898148148148148,0.2013888888888889,0.35096153846153844,263.7125 -1977,-120.44,38.61,9.0,2598.0,548.0,796.0,297.0,3.5192,98000.0,0,1,0,0,0,0.11431870669745958,0.21093148575827558,0.3731155778894472,1045.2024000000001 -1978,-120.32,38.71,13.0,1115.0,255.0,86.0,32.0,3.5667,115600.0,0,1,0,0,0,0.028699551569506727,0.22869955156950672,0.37209302325581395,114.1344 -1979,-120.08,38.8,34.0,1988.0,511.0,36.0,15.0,4.625,162500.0,0,1,0,0,0,0.007545271629778672,0.25704225352112675,0.4166666666666667,69.375 -1980,-120.88,38.58,8.0,3417.0,604.0,1703.0,623.0,4.0827,170700.0,0,1,0,0,0,0.1823236757389523,0.17676324261047702,0.3658250146799765,2543.5221 -1981,-120.84,38.63,12.0,1313.0,231.0,731.0,232.0,5.7373,208300.0,0,1,0,0,0,0.1766945925361767,0.17593297791317594,0.3173734610123119,1331.0536 -1982,-120.81,38.67,14.0,8396.0,1578.0,3952.0,1474.0,3.0565,118800.0,0,1,0,0,0,0.1755597903763697,0.18794664125774177,0.3729757085020243,4505.281 -1983,-120.76,38.65,17.0,2319.0,430.0,1126.0,372.0,3.5511,155900.0,0,1,0,0,0,0.16041397153945666,0.18542475204829667,0.33037300177619894,1321.0092 -1984,-120.85,38.69,18.0,5928.0,1097.0,2697.0,1096.0,3.4872,141400.0,0,1,0,0,0,0.18488529014844804,0.1850539811066127,0.40637745643307377,3821.9712 -1985,-120.79,38.7,13.0,5036.0,1034.0,2243.0,923.0,2.3319,138500.0,0,1,0,0,0,0.18328038125496426,0.20532168387609215,0.41150245207311636,2152.3437 -1986,-119.81,36.73,51.0,956.0,196.0,662.0,180.0,2.101,56700.0,0,1,0,0,0,0.18828451882845187,0.20502092050209206,0.2719033232628399,378.18 -1987,-119.81,36.73,47.0,1314.0,416.0,1155.0,326.0,1.372,49600.0,0,1,0,0,0,0.2480974124809741,0.3165905631659056,0.28225108225108225,447.27200000000005 -1988,-119.81,36.74,36.0,607.0,155.0,483.0,146.0,1.5625,47500.0,0,1,0,0,0,0.24052718286655683,0.2553542009884679,0.3022774327122153,228.125 -1989,-119.79,36.73,52.0,112.0,28.0,193.0,40.0,1.975,47500.0,0,1,0,0,0,0.35714285714285715,0.25,0.20725388601036268,79.0 -1990,-119.8,36.73,45.0,925.0,231.0,797.0,228.0,1.7011,44800.0,0,1,0,0,0,0.2464864864864865,0.24972972972972973,0.2860727728983689,387.8508 -1991,-119.8,36.72,43.0,1286.0,360.0,972.0,345.0,0.9513,50400.0,0,1,0,0,0,0.2682737169517885,0.27993779160186627,0.3549382716049383,328.1985 -1992,-119.81,36.72,46.0,1414.0,268.0,902.0,243.0,1.5833,56700.0,0,1,0,0,0,0.17185289957567185,0.18953323903818953,0.26940133037694014,384.7419 -1993,-119.81,36.73,50.0,772.0,194.0,606.0,167.0,2.2206,59200.0,0,1,0,0,0,0.21632124352331605,0.25129533678756477,0.2755775577557756,370.84020000000004 -1994,-119.77,36.73,44.0,1960.0,393.0,1286.0,381.0,2.1518,53000.0,0,1,0,0,0,0.19438775510204082,0.20051020408163264,0.2962674961119751,819.8358000000001 -1995,-119.77,36.72,43.0,1763.0,389.0,1623.0,390.0,1.4427,47700.0,0,1,0,0,0,0.2212138400453772,0.22064662507090188,0.24029574861367836,562.653 -1996,-119.78,36.73,52.0,1377.0,319.0,1280.0,259.0,1.2344,43300.0,0,1,0,0,0,0.18809005083514888,0.23166303558460422,0.20234375,319.70959999999997 -1997,-119.77,36.73,45.0,1081.0,241.0,821.0,230.0,1.7829,52600.0,0,1,0,0,0,0.2127659574468085,0.22294172062904719,0.2801461632155907,410.067 -1998,-119.77,36.75,39.0,1287.0,332.0,1386.0,306.0,1.5227,46900.0,0,1,0,0,0,0.23776223776223776,0.257964257964258,0.22077922077922077,465.9462 -1999,-119.77,36.74,20.0,1855.0,519.0,1091.0,443.0,1.5547,93900.0,0,1,0,0,0,0.23881401617250675,0.27978436657681943,0.4060494958753437,688.7321 -2000,-119.78,36.74,15.0,1461.0,415.0,924.0,356.0,2.5045,90300.0,0,1,0,0,0,0.243668720054757,0.2840520191649555,0.3852813852813853,891.6020000000001 -2001,-119.78,36.75,35.0,2114.0,506.0,2050.0,474.0,1.2375,50000.0,0,1,0,0,0,0.22421948912015138,0.23935666982024598,0.23121951219512196,586.575 -2002,-119.78,36.75,31.0,1404.0,379.0,1515.0,387.0,1.2813,56400.0,0,1,0,0,0,0.27564102564102566,0.26994301994301995,0.25544554455445545,495.86310000000003 -2003,-119.79,36.74,35.0,853.0,296.0,1228.0,289.0,1.0513,39600.0,0,1,0,0,0,0.3388042203985932,0.347010550996483,0.23534201954397393,303.8257 -2004,-119.79,36.74,52.0,173.0,87.0,401.0,84.0,2.1094,75000.0,0,1,0,0,0,0.48554913294797686,0.5028901734104047,0.20947630922693267,177.18959999999998 -2005,-119.8,36.74,25.0,1717.0,542.0,1343.0,471.0,0.799,51800.0,0,1,0,0,0,0.2743156668608037,0.3156668608037274,0.35070737155621745,376.329 -2006,-119.8,36.75,41.0,1659.0,466.0,1391.0,447.0,1.3527,61200.0,0,1,0,0,0,0.2694394213381555,0.2808921036769138,0.3213515456506111,604.6569 -2007,-119.79,36.75,33.0,3161.0,934.0,3530.0,846.0,1.123,46700.0,0,1,0,0,0,0.2676368237899399,0.2954761151534325,0.23966005665722379,950.058 -2008,-119.82,36.74,52.0,610.0,128.0,406.0,122.0,1.8967,43800.0,0,1,0,0,0,0.2,0.2098360655737705,0.30049261083743845,231.3974 -2009,-119.82,36.72,25.0,2581.0,528.0,1642.0,509.0,1.6435,52600.0,0,1,0,0,0,0.1972103835722588,0.20457187136768695,0.3099878197320341,836.5414999999999 -2010,-119.82,36.72,17.0,1276.0,242.0,927.0,238.0,2.6176,54100.0,0,1,0,0,0,0.1865203761755486,0.1896551724137931,0.25674217907227614,622.9888 -2011,-119.83,36.73,21.0,1702.0,358.0,1347.0,316.0,2.4137,62100.0,0,1,0,0,0,0.18566392479435959,0.21034077555816685,0.23459539717891612,762.7292 -2012,-119.83,36.72,28.0,60.0,10.0,46.0,13.0,4.35,67500.0,0,1,0,0,0,0.21666666666666667,0.16666666666666666,0.2826086956521739,56.55 -2013,-119.83,36.71,43.0,355.0,81.0,233.0,75.0,2.4167,73900.0,0,1,0,0,0,0.2112676056338028,0.22816901408450704,0.3218884120171674,181.2525 -2014,-119.79,36.72,19.0,1719.0,391.0,1369.0,368.0,1.25,53000.0,0,1,0,0,0,0.2140779522978476,0.22745782431646305,0.268809349890431,460.0 -2015,-119.8,36.71,29.0,1541.0,291.0,1007.0,313.0,2.0043,53500.0,0,1,0,0,0,0.20311486048020766,0.18883841661258924,0.31082423038728896,627.3459 -2016,-119.81,36.71,25.0,1026.0,221.0,789.0,183.0,1.5625,52800.0,0,1,0,0,0,0.1783625730994152,0.21539961013645223,0.23193916349809887,285.9375 -2017,-119.8,36.72,19.0,1334.0,336.0,1171.0,319.0,1.0481,48500.0,0,1,0,0,0,0.2391304347826087,0.2518740629685157,0.27241673783091375,334.3439 -2018,-119.8,36.72,15.0,1908.0,417.0,1383.0,375.0,1.0472,57800.0,0,1,0,0,0,0.19654088050314467,0.21855345911949686,0.27114967462039047,392.7 -2019,-119.79,36.7,23.0,1731.0,363.0,1210.0,341.0,1.3922,49500.0,0,1,0,0,0,0.19699595609474294,0.2097053726169844,0.2818181818181818,474.7402 -2020,-119.8,36.7,28.0,1592.0,304.0,962.0,282.0,1.3304,51300.0,0,1,0,0,0,0.1771356783919598,0.19095477386934673,0.29313929313929316,375.1728 -2021,-119.81,36.7,52.0,314.0,57.0,178.0,66.0,1.2404,52500.0,0,1,0,0,0,0.21019108280254778,0.18152866242038215,0.3707865168539326,81.8664 -2022,-119.78,36.72,22.0,354.0,121.0,530.0,115.0,2.1458,34400.0,0,1,0,0,0,0.3248587570621469,0.3418079096045198,0.2169811320754717,246.767 -2023,-119.79,36.72,41.0,1562.0,322.0,927.0,277.0,1.3047,44100.0,0,1,0,0,0,0.17733674775928296,0.20614596670934698,0.2988133764832794,361.4019 -2024,-119.78,36.71,35.0,1987.0,394.0,1233.0,383.0,1.3587,45300.0,0,1,0,0,0,0.19275289380976346,0.19828887770508305,0.31062449310624496,520.3821 -2025,-119.74,36.71,17.0,5872.0,1250.0,4576.0,1224.0,2.1905,61800.0,0,1,0,0,0,0.20844686648501362,0.21287465940054495,0.2431466030989273,2681.172 -2026,-119.76,36.71,29.0,1745.0,441.0,1530.0,391.0,1.5611,44400.0,0,1,0,0,0,0.22406876790830946,0.25272206303724926,0.25555555555555554,610.3901 -2027,-119.76,36.72,24.0,1240.0,265.0,1035.0,232.0,2.875,60600.0,0,1,0,0,0,0.1870967741935484,0.21370967741935484,0.22415458937198068,667.0 -2028,-119.75,36.71,38.0,1481.0,368.0,1543.0,372.0,1.4577,49800.0,0,1,0,0,0,0.2511816340310601,0.24848075624577987,0.24108878807517822,542.2644 -2029,-119.74,36.73,34.0,1254.0,272.0,1056.0,279.0,2.3269,50800.0,0,1,0,0,0,0.22248803827751196,0.21690590111642744,0.26420454545454547,649.2051 -2030,-119.74,36.72,25.0,3972.0,842.0,2863.0,729.0,2.1304,58500.0,0,1,0,0,0,0.18353474320241692,0.21198388721047332,0.25462801257422285,1553.0616 -2031,-119.75,36.72,22.0,3247.0,859.0,4179.0,881.0,1.3343,60800.0,0,1,0,0,0,0.2713273791191869,0.26455189405605173,0.21081598468533141,1175.5183 -2032,-119.76,36.73,46.0,1347.0,282.0,854.0,267.0,1.8723,52600.0,0,1,0,0,0,0.19821826280623608,0.20935412026726058,0.3126463700234192,499.9041 -2033,-119.76,36.73,39.0,1553.0,363.0,1449.0,341.0,1.4419,45500.0,0,1,0,0,0,0.21957501609787508,0.23374114616870573,0.23533471359558317,491.6879 -2034,-119.75,36.73,39.0,2290.0,539.0,1685.0,536.0,1.6325,52100.0,0,1,0,0,0,0.23406113537117904,0.2353711790393013,0.31810089020771515,875.02 -2035,-119.74,36.73,42.0,1236.0,272.0,946.0,261.0,2.0536,50000.0,0,1,0,0,0,0.2111650485436893,0.22006472491909385,0.2758985200845666,535.9896 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-20638,-121.32,39.43,18.0,1860.0,409.0,741.0,349.0,1.8672,84700.0,0,1,0,0,0,0.18763440860215053,0.21989247311827956,0.4709851551956815,651.6528 -20639,-121.24,39.37,16.0,2785.0,616.0,1387.0,530.0,2.3886,89400.0,0,1,0,0,0,0.19030520646319568,0.22118491921005387,0.3821196827685652,1265.9579999999999 diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 01223b1558e5..37e8a2c5e9d6 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -1,8 +1,3 @@ -"""Create and connect the building blocks for your experiments; start the simulation. - -It includes processioning the dataset, instantiate strategy, specify how the global -model is going to be evaluated, etc. At the end, this script saves the results. -""" import os import shutil import importlib @@ -18,25 +13,21 @@ from hydra.utils import instantiate from omegaconf import DictConfig, OmegaConf -from .attacks import fang_attack, gaussian_attack, lie_attack, minmax_attack -from .client import CifarClient, HouseClient, IncomeClient, MnistClient, Cifar100Client +from .attacks import fang_attack, gaussian_attack, lie_attack, minmax_attack, no_attack +from .client import ( + MnistClient, + FMnistClient, +) from .dataset import ( do_fl_partitioning, - get_cifar_10, - get_cifar_100, get_mnist, - get_partitioned_house, - get_partitioned_income, + get_fmnist, ) from .server import EnhancedServer from .utils import ( - cifar_evaluate, - house_evaluate, - income_evaluate, l2_norm, - cosine_distance, mnist_evaluate, - mobilenet_evaluate, + fmnist_evaluate, ) @@ -50,6 +41,7 @@ def main(cfg: DictConfig) -> None: cfg : DictConfig An omegaconf object that stores the hydra config. """ + # 0. Set random seed seed = cfg.seed np.random.seed(seed) @@ -61,19 +53,28 @@ def main(cfg: DictConfig) -> None: # 1. Print parsed config print(OmegaConf.to_yaml(cfg)) + # Skip if: + # - strategy = bulyan and num_malicious > 20 + # - attack_fn != gaussian and num_malicious = 0 + if cfg.strategy.name == "bulyan" and cfg.server.num_malicious > 20: + print("Skipping experiment because strategy is bulyan and num_malicious is > 20") + return + #skip if attack_fn is not gaussian and num_malicious is 0, but continue if attack_fn is na + if cfg.server.attack_fn != "gaussian" and cfg.server.num_malicious == 0 and cfg.server.attack_fn != "na": + print("Skipping experiment because attack_fn is not gaussian and num_malicious is 0") + return + attacks = { + "na": no_attack, "gaussian": gaussian_attack, "lie": lie_attack, - "fang": fang_attack, - "minmax": minmax_attack, + "fang": fang_attack, # OPT + "minmax": minmax_attack, # AGR-MM } clients = { "mnist": (MnistClient, mnist_evaluate), - "cifar": (CifarClient, cifar_evaluate), - "house": (HouseClient, house_evaluate), - "income": (IncomeClient, income_evaluate), - "cifar100": (Cifar100Client, mobilenet_evaluate), + "fmnist": (FMnistClient, fmnist_evaluate), } # Delete old client_params @@ -85,68 +86,28 @@ def main(cfg: DictConfig) -> None: num_malicious = cfg.server.num_malicious # 2. Prepare your dataset - if dataset_name == "cifar": - train_path, _ = get_cifar_10() - fed_dir = do_fl_partitioning( - train_path, - pool_size=cfg.server.pool_size, - alpha=cfg.server.noniidness, - num_classes=10, - val_ratio=0.5, - seed=seed, - ) - elif dataset_name == "mnist": - train_path, _ = get_mnist() + if dataset_name in ["mnist", "fmnist", "cifar"]: + if dataset_name == "mnist": + train_path, _ = get_mnist() + elif dataset_name == "fmnist": + train_path, _ = get_fmnist() fed_dir = do_fl_partitioning( train_path, pool_size=cfg.server.pool_size, alpha=cfg.server.noniidness, num_classes=10, - val_ratio=0.5, + val_ratio=0.2, seed=seed, ) - elif dataset_name == "cifar100": - train_path, _ = get_cifar_100() - fed_dir = do_fl_partitioning( - train_path, - pool_size=cfg.server.pool_size, - alpha=cfg.server.noniidness, - num_classes=100, - val_ratio=0.5, - seed=seed, - ) - elif dataset_name == "income": - x_train, x_test, y_train, y_test = get_partitioned_income( - "flanders/datasets_files/adult.csv", cfg.server.pool_size - ) - elif dataset_name == "house": - x_train, x_test, y_train, y_test = get_partitioned_house( - "flanders/datasets_files/houses_preprocessed.csv", cfg.server.pool_size - ) + else: + raise ValueError("Dataset not supported") # 3. Define your clients # pylint: disable=no-else-return def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): client = clients[dataset_name][0] - cid_idx = int(cid) - if dataset_name in ["cifar", "mnist", "cifar100"]: + if dataset_name in ["mnist", "fmnist", "cifar", "cifar100"]: return client(cid, fed_dir) - elif dataset_name == "income": - return client( - cid, - x_train[cid_idx], - y_train[cid_idx], - x_test[cid_idx], - y_test[cid_idx], - ) - elif dataset_name == "house": - return client( - cid, - x_train[cid_idx], - y_train[cid_idx], - x_test[cid_idx], - y_test[cid_idx], - ) else: raise ValueError("Dataset not supported") diff --git a/baselines/flanders/flanders/models.py b/baselines/flanders/flanders/models.py index 413d4ed56db2..3a62e78f950b 100644 --- a/baselines/flanders/flanders/models.py +++ b/baselines/flanders/flanders/models.py @@ -80,297 +80,74 @@ def test_mnist(model, dataloader, device): return loss, acc, auc -# Model (simple CNN adapted from 'PyTorch: A 60 Minute Blitz') -# borrowed from Pytorch quickstart example -class CifarNet(nn.Module): - """Simple CNN for CIFAR-10.""" - - def __init__(self) -> None: +class FMnistNet(nn.Module): + def __init__(self): super().__init__() - self.conv1 = nn.Conv2d(3, 6, 5) - self.pool = nn.MaxPool2d(2, 2) - self.conv2 = nn.Conv2d(6, 16, 5) - self.fc1 = nn.Linear(16 * 5 * 5, 120) - self.fc2 = nn.Linear(120, 84) - self.fc3 = nn.Linear(84, 100) - - def forward(self, x: torch.Tensor) -> torch.Tensor: - """Forward pass through the network.""" - x = self.pool(F.relu(self.conv1(x))) - x = self.pool(F.relu(self.conv2(x))) - x = x.view(-1, 16 * 5 * 5) - x = F.relu(self.fc1(x)) - x = F.relu(self.fc2(x)) - x = self.fc3(x) + self.fc1 = nn.Linear(784, 256) + self.fc2 = nn.Linear(256, 128) + self.fc3 = nn.Linear(128, 64) + self.fc4 = nn.Linear(64, 10) + + # Dropout module with a 0.2 drop probability + self.dropout = nn.Dropout(p=0.2) + + def forward(self, x): + # Flatten the input tensor + x = x.view(x.shape[0], -1) + # Set the activation functions + x = self.dropout(F.relu(self.fc1(x))) + x = self.dropout(F.relu(self.fc2(x))) + x = self.dropout(F.relu(self.fc3(x))) + x = F.log_softmax(self.fc4(x), dim=1) + return x + +def train_fmnist(model, dataloader, epochs, device): + criterion = nn.NLLLoss(reduction ='sum') + optimizer = torch.optim.Adam(model.parameters(), lr=0.003) + + for epoch in range(epochs): + for i, (images, labels) in enumerate(dataloader): + images = images.view(-1, 28 * 28).to(device) + labels = labels.to(device) -# borrowed from Pytorch quickstart example -def train_cifar(net, trainloader, epochs, device: str): - """Train the network on the training set.""" - criterion = torch.nn.CrossEntropyLoss() - optimizer = torch.optim.SGD(net.parameters(), lr=0.01, momentum=0.9) - net.train() - for _ in range(epochs): - for images, labels in trainloader: - images, labels = images.to(device), labels.to(device) optimizer.zero_grad() - loss = criterion(net(images), labels) + outputs = model(images) + loss = criterion(outputs, labels) loss.backward() optimizer.step() + if (i + 1) % 100 == 0: + print( + f"Epoch [{epoch+1}/{epochs}], " + f"Step [{i+1}/{len(dataloader)}], " + f"Loss: {loss.item():.4f}" + ) -# borrowed from Pytorch quickstart example # pylint: disable=too-many-locals -def test_cifar(net, testloader, device: str): +def test_fmnist(model, dataloader, device): """Validate the network on the entire test set.""" - criterion = torch.nn.CrossEntropyLoss() - correct, total, loss = 0, 0, 0.0 + loss = 0 + model.eval() + criterion = nn.NLLLoss(reduction ='sum') y_true, y_pred = [], [] - net.eval() with torch.no_grad(): - for data in testloader: - images, labels = data[0].to(device), data[1].to(device) - outputs = net(images) - loss += criterion(outputs, labels).item() + n_correct = 0 + n_samples = 0 + for images, labels in dataloader: + images = images.reshape(-1, 28 * 28).to(device) + labels = labels.to(device) + outputs = model(images) + # max returns (value ,index) _, predicted = torch.max(outputs.data, 1) - total += labels.size(0) - correct += (predicted == labels).sum().item() - y_true.append(labels.cpu().numpy()) - y_pred.append(predicted.cpu().numpy()) - y_true = list(itertools.chain(*y_true)) - y_pred = list(itertools.chain(*y_pred)) - auc = roc_auc_multiclass(y_true, y_pred) - accuracy = correct / total - return loss, accuracy, auc - - -# MobileNetV1 -# https://github.com/weiaicunzai/pytorch-cifar100/blob/master/models/mobilenet.py -class DepthSeperabelConv2d(nn.Module): - - def __init__(self, input_channels, output_channels, kernel_size, **kwargs): - super().__init__() - self.depthwise = nn.Sequential( - nn.Conv2d( - input_channels, - input_channels, - kernel_size, - groups=input_channels, - **kwargs), - nn.BatchNorm2d(input_channels), - nn.ReLU(inplace=True) - ) - - self.pointwise = nn.Sequential( - nn.Conv2d(input_channels, output_channels, 1), - nn.BatchNorm2d(output_channels), - nn.ReLU(inplace=True) - ) - - def forward(self, x): - x = self.depthwise(x) - x = self.pointwise(x) - - return x - - -class BasicConv2d(nn.Module): - - def __init__(self, input_channels, output_channels, kernel_size, **kwargs): - - super().__init__() - self.conv = nn.Conv2d( - input_channels, output_channels, kernel_size, **kwargs) - self.bn = nn.BatchNorm2d(output_channels) - self.relu = nn.ReLU(inplace=True) - - def forward(self, x): - x = self.conv(x) - x = self.bn(x) - x = self.relu(x) - - return x - - -class MobileNet(nn.Module): - - """ - Args: - width multipler: The role of the width multiplier α is to thin - a network uniformly at each layer. For a given - layer and width multiplier α, the number of - input channels M becomes αM and the number of - output channels N becomes αN. - """ - - def __init__(self, width_multiplier=1, class_num=100): - super().__init__() - - alpha = width_multiplier - self.stem = nn.Sequential( - BasicConv2d(3, int(32 * alpha), 3, padding=1, bias=False), - DepthSeperabelConv2d( - int(32 * alpha), - int(64 * alpha), - 3, - padding=1, - bias=False - ) - ) - - #downsample - self.conv1 = nn.Sequential( - DepthSeperabelConv2d( - int(64 * alpha), - int(128 * alpha), - 3, - stride=2, - padding=1, - bias=False - ), - DepthSeperabelConv2d( - int(128 * alpha), - int(128 * alpha), - 3, - padding=1, - bias=False - ) - ) - - #downsample - self.conv2 = nn.Sequential( - DepthSeperabelConv2d( - int(128 * alpha), - int(256 * alpha), - 3, - stride=2, - padding=1, - bias=False - ), - DepthSeperabelConv2d( - int(256 * alpha), - int(256 * alpha), - 3, - padding=1, - bias=False - ) - ) - - #downsample - self.conv3 = nn.Sequential( - DepthSeperabelConv2d( - int(256 * alpha), - int(512 * alpha), - 3, - stride=2, - padding=1, - bias=False - ), - - DepthSeperabelConv2d( - int(512 * alpha), - int(512 * alpha), - 3, - padding=1, - bias=False - ), - DepthSeperabelConv2d( - int(512 * alpha), - int(512 * alpha), - 3, - padding=1, - bias=False - ), - DepthSeperabelConv2d( - int(512 * alpha), - int(512 * alpha), - 3, - padding=1, - bias=False - ), - DepthSeperabelConv2d( - int(512 * alpha), - int(512 * alpha), - 3, - padding=1, - bias=False - ), - DepthSeperabelConv2d( - int(512 * alpha), - int(512 * alpha), - 3, - padding=1, - bias=False - ) - ) - - #downsample - self.conv4 = nn.Sequential( - DepthSeperabelConv2d( - int(512 * alpha), - int(1024 * alpha), - 3, - stride=2, - padding=1, - bias=False - ), - DepthSeperabelConv2d( - int(1024 * alpha), - int(1024 * alpha), - 3, - padding=1, - bias=False - ) - ) - - self.fc = nn.Linear(int(1024 * alpha), class_num) - self.avg = nn.AdaptiveAvgPool2d(1) - - def forward(self, x): - x = self.stem(x) - - x = self.conv1(x) - x = self.conv2(x) - x = self.conv3(x) - x = self.conv4(x) - - x = self.avg(x) - x = x.view(x.size(0), -1) - x = self.fc(x) - return x - -def train_mobilenet(net, trainloader, epochs, device: str): - """Train the network on the training set.""" - criterion = torch.nn.CrossEntropyLoss() - optimizer = torch.optim.SGD(net.parameters(), lr=0.01, momentum=0.9) - net.train() - for _ in range(epochs): - for images, labels in trainloader: - images, labels = images.to(device), labels.to(device) - optimizer.zero_grad() - loss = criterion(net(images), labels) - loss.backward() - optimizer.step() - -def test_mobilenet(net, testloader, device: str): - """Validate the network on the entire test set.""" - criterion = torch.nn.CrossEntropyLoss() - correct, total, loss = 0, 0, 0.0 - y_true, y_pred = [], [] - net.eval() - with torch.no_grad(): - for data in testloader: - images, labels = data[0].to(device), data[1].to(device) - outputs = net(images) + n_samples += labels.size(0) + n_correct += (predicted == labels).sum().item() loss += criterion(outputs, labels).item() - _, predicted = torch.max(outputs.data, 1) - total += labels.size(0) - correct += (predicted == labels).sum().item() y_true.append(labels.cpu().numpy()) y_pred.append(predicted.cpu().numpy()) y_true = list(itertools.chain(*y_true)) y_pred = list(itertools.chain(*y_pred)) auc = roc_auc_multiclass(y_true, y_pred) - accuracy = correct / total - return loss, accuracy, auc \ No newline at end of file + acc = n_correct / n_samples + return loss, acc, auc \ No newline at end of file diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index e79c4345e0d3..3cf5434f01ba 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -1,8 +1,3 @@ -"""Create global evaluation function. - -Optionally, also define a new Server class (please note this is not needed in most -settings). -""" import timeit from logging import DEBUG, INFO from typing import Any, Callable, List, Tuple, Union @@ -142,21 +137,16 @@ def fit(self, num_rounds, timeout): if res_cen is not None: loss_cen, metrics_cen = res_cen # Update confusion matrix - self.confusion_matrix = update_confusion_matrix( - self.confusion_matrix, - self.clients_state, - self.malicious_clients_idx, - self.good_clients_idx, - ) - metrics_cen["TP"] = self.confusion_matrix["TP"] - metrics_cen["TN"] = self.confusion_matrix["TN"] - metrics_cen["FP"] = self.confusion_matrix["FP"] - metrics_cen["FN"] = self.confusion_matrix["FN"] - if current_round <= self.warmup_rounds: - metrics_cen["TP"] = 0 - metrics_cen["TN"] = 0 - metrics_cen["FP"] = 0 - metrics_cen["FN"] = 0 + if current_round > self.warmup_rounds: + self.confusion_matrix = update_confusion_matrix( + self.confusion_matrix, + self.clients_state, + self.malicious_clients_idx, + self.good_clients_idx, + ) + + metrics_cen = {key: self.confusion_matrix[key] for key in ["TP", "TN", "FP", "FN"]} + log( INFO, "fit progress: (%s, %s, %s, %s)", @@ -222,14 +212,6 @@ def fit_round( self.malicious_lst = np.random.choice( [proxy.cid for proxy, _ in client_instructions], size=size, replace=False ) - # TODO: remove this - #if (server_round > 9 and server_round < 20) or (server_round > 29 and server_round < 40) or #(server_round > 49 and server_round < 60): - # print("--- MALICIOUS ROUNDS ---") - # self.malicious_lst = ["0","1"] - #else: - # print("--- LEGIT ROUNDS ---") - # self.malicious_lst = [] - #################### # Create dict clients_state to keep track of malicious clients clients_state = dict() @@ -295,9 +277,6 @@ def fit_round( # Apply attack function # the server simulates an attacker that controls a fraction of the clients - print(f"params shape: {self.aggregated_parameters[0].shape}") - print(f"params len: {len(self.aggregated_parameters)}") - print(f"num layers: {len(self.aggregated_parameters[0])}") if self.attack_fn is not None and server_round > self.warmup_rounds: log(INFO, "Applying attack function") results, others = self.attack_fn( @@ -361,7 +340,7 @@ def fit_round( # their history with tha current global model, otherwise the # forecasting in next round won't be reliable (see the paper for # more details) - if self.warmup_rounds > server_round: + if server_round > self.warmup_rounds: log(INFO, "Saving parameters of clients") for idx in malicious_clients_idx: if self.sampling > 0: @@ -372,6 +351,8 @@ def fit_round( new_params = flatten_params( parameters_to_ndarrays(parameters_aggregated) ) + + log(INFO, "Saving parameters of client %s with shape %s", idx, new_params.shape) save_params( new_params, idx, diff --git a/baselines/flanders/flanders/strategies/aggregate.py b/baselines/flanders/flanders/strategies/aggregate.py index 85b90b9bbfb9..1022e714d457 100644 --- a/baselines/flanders/flanders/strategies/aggregate.py +++ b/baselines/flanders/flanders/strategies/aggregate.py @@ -10,7 +10,6 @@ def aggregate_dnc(results: List[Tuple[NDArrays, int]], c: float, niters: int, num_malicious: int) -> NDArrays: num_clients = len(results) flattened_params = [flatten_params(params) for params, _ in results] - I_good = [] for _ in range(niters): mu: NDArrays = [ @@ -21,7 +20,6 @@ def aggregate_dnc(results: List[Tuple[NDArrays, int]], c: float, niters: int, nu model_c = [] for idx in range(len(flattened_params)): model_c.append(np.array(flattened_params[idx]) - np.array(mu)) - _, _, v = np.linalg.svd(model_c, full_matrices=False) s = [np.inner(model_i, v[0, :]) ** 2 for model_i in flattened_params] diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index 22f797c00da1..4b3fc411452c 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -16,6 +16,7 @@ ndarrays_to_parameters, parameters_to_ndarrays, ) +from flwr.server.strategy.aggregate import aggregate from flwr.common.logger import log from flwr.server.client_manager import ClientManager from flwr.server.client_proxy import ClientProxy @@ -217,7 +218,6 @@ def aggregate_fit( params_tensor = np.transpose( params_tensor, (0, 2, 1) ) # (clients, params, time) - print("-- params_tensor", params_tensor.shape) ground_truth = params_tensor[:, :, -1].copy() pred_step = 1 log(INFO, "Computing MAR on params_tensor %s", params_tensor.shape) @@ -229,14 +229,11 @@ def aggregate_fit( beta=self.beta, ) - #print("Ground truth: ", ground_truth) - #print("Predicted matrix: ", predicted_matrix[:, :, 0]) - log(INFO, "Computing anomaly scores") anomaly_scores = self.distance_function( ground_truth, predicted_matrix[:, :, 0] ) - log(INFO, "Anomaly scores: %s", anomaly_scores) + log(DEBUG, "Anomaly scores: %s", anomaly_scores) log(INFO, "Selecting good clients") good_clients_idx = sorted( @@ -246,23 +243,14 @@ def aggregate_fit( np.argsort(anomaly_scores)[self.num_clients_to_keep :] ) # noqa - # TODO: remove this - # alternate between 2 malicious and 0 malicious clients every 10 rounds - #if (server_round > 9 and server_round < 20) or (server_round > 29 and server_round < #40) or (server_round > 49 and server_round < 60): - # good_clients_idx = [2,3,4] - # malicious_clients_idx = [0,1] - ########################################## - # Compute the average anomaly score for the good clients avg_anomaly_score_gc = np.mean(anomaly_scores[good_clients_idx]) - print("avg anomaly score for good clients", avg_anomaly_score_gc) + log(DEBUG, "Average anomaly score for good clients", avg_anomaly_score_gc) + avg_anomaly_score_m = np.mean(anomaly_scores[malicious_clients_idx]) - print("avg anomaly score for malicious clients", avg_anomaly_score_m) + log(DEBUG, "Average anomaly score for malicious clients", avg_anomaly_score_m) results = np.array(results)[good_clients_idx].tolist() - log(INFO, "Good clients: %s", good_clients_idx) - # Save the avg anomaly score into a file - with open("anomaly_scores.txt", "a") as f: - f.write(f"{server_round},{avg_anomaly_score_gc},{avg_anomaly_score_m}\n") + log(DEBUG, "Good clients: %s", good_clients_idx) log(INFO, "Applying aggregate_fn") # Convert results @@ -271,21 +259,26 @@ def aggregate_fit( for _, fit_res in results ] - # check that self.aggregate_fn has num_malicious parameter + # Check that self.aggregate_fn has num_malicious parameter if "num_malicious" in self.aggregate_fn.__code__.co_varnames: - # count the number of malicious clients in good_clients_idx by checking clients_state + # Count the number of malicious clients in good_clients_idx by checking clients_state num_malicious = sum([clients_state[str(cid)] for cid in good_clients_idx]) - print("Number of malicious clients in good_clients_idx after FLANDERS filtering", num_malicious) + log(INFO, "Number of malicious clients in good_clients_idx after FLANDERS filtering: %s", num_malicious) self.aggregate_parameters["num_malicious"] = num_malicious + if "aggregation_rule" in self.aggregate_fn.__code__.co_varnames: module = importlib.import_module(self.aggregate_parameters["aggregation_module_name"]) function_name = self.aggregate_parameters["aggregation_name"] self.aggregate_parameters["aggregation_rule"] = getattr(module, function_name) - # remove aggregation_module_name and aggregation_name from self.aggregate_parameters + # Remove aggregation_module_name and aggregation_name from self.aggregate_parameters aggregate_parameters = self.aggregate_parameters.copy() del aggregate_parameters["aggregation_module_name"] del aggregate_parameters["aggregation_name"] - parameters_aggregated = ndarrays_to_parameters(self.aggregate_fn(weights_results, **aggregate_parameters)) + try: + parameters_aggregated = ndarrays_to_parameters(self.aggregate_fn(weights_results, **aggregate_parameters)) + except ValueError as e: + log(WARNING, f"Error in aggregate_fn: {e}") + parameters_aggregated = ndarrays_to_parameters(aggregate(weights_results)) else: parameters_aggregated = ndarrays_to_parameters(self.aggregate_fn(weights_results, **self.aggregate_parameters)) diff --git a/baselines/flanders/flanders/utils.py b/baselines/flanders/flanders/utils.py index f2dc3489be6a..d9af97ff80fd 100644 --- a/baselines/flanders/flanders/utils.py +++ b/baselines/flanders/flanders/utils.py @@ -8,23 +8,13 @@ import torch from flwr.common import NDArrays, Parameters, Scalar, parameters_to_ndarrays from natsort import natsorted -from sklearn.linear_model import ElasticNet, LogisticRegression -from sklearn.metrics import ( - accuracy_score, - log_loss, - mean_absolute_percentage_error, - mean_squared_error, - r2_score, - roc_auc_score, -) -from sklearn.metrics.pairwise import cosine_distances + from torch.utils.data import DataLoader from torchvision import transforms -from torchvision.datasets import MNIST +from torchvision.datasets import MNIST, FashionMNIST -from .client import set_params, set_sklearn_model_params -from .dataset import get_cifar_10, get_partitioned_house, get_partitioned_income, get_cifar_100 -from .models import CifarNet, MnistNet, test_cifar, test_mnist, MobileNet, test_mobilenet +from .client import set_params +from .models import MnistNet, FMnistNet, test_mnist, test_fmnist lock = Lock() @@ -48,26 +38,6 @@ def l2_norm(true_matrix, predicted_matrix): anomaly_scores = np.sum(delta**2, axis=-1) ** (1.0 / 2) return anomaly_scores -def cosine_distance(true_matrix, predicted_matrix): - """Compute the cosine distance between two matrices. - - Parameters - ---------- - true_matrix : ndarray - The true matrix. - predicted_matrix : ndarray - The predicted matrix by MAR. - - Returns - ------- - anomaly_scores : ndarray - 1-d array of anomaly scores. - """ - cosine_distances_matrix = cosine_distances(true_matrix, predicted_matrix) - anomaly_scores = np.sum(cosine_distances_matrix, axis=1) - return anomaly_scores - - def save_params( parameters, cid, params_dir="clients_params", remove_last=False, rrl=False ): @@ -149,7 +119,13 @@ def evaluate_aggregated( def mnist_evaluate(server_round: int, parameters: NDArrays, config: Dict[str, Scalar]): """Evaluate MNIST model on the test set.""" # determine device - device = torch.device("cpu") + if torch.cuda.is_available(): + device = torch.device("cuda") + elif torch.backends.mps.is_available(): + device = torch.device("mps") + else: + device = torch.device("cpu") + model = MnistNet() set_params(model, parameters) @@ -161,95 +137,39 @@ def mnist_evaluate(server_round: int, parameters: NDArrays, config: Dict[str, Sc return loss, {"accuracy": accuracy, "auc": auc} - # pylint: disable=unused-argument -def cifar_evaluate(server_round: int, parameters: NDArrays, config: Dict[str, Scalar]): - """Evaluate CIFAR-10 model on the test set.""" - device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") - - model = CifarNet() - set_params(model, parameters) - model.to(device) - - _, testset = get_cifar_10() - testloader = torch.utils.data.DataLoader(testset, batch_size=32) - loss, accuracy, auc = test_cifar(model, testloader, device=device) - - # return statistics - return loss, {"accuracy": accuracy, "auc": auc} +def fmnist_evaluate(server_round: int, parameters: NDArrays, config: Dict[str, Scalar]): + """Evaluate MNIST model on the test set.""" + # determine device + if torch.cuda.is_available(): + device = torch.device("cuda") + elif torch.backends.mps.is_available(): + device = torch.device("mps") + else: + device = torch.device("cpu") -def mobilenet_evaluate(server_round: int, parameters: NDArrays, config: Dict[str, Scalar]): - """Evaluate MobileNet model on the test set.""" - device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") - model = MobileNet() + model = FMnistNet() set_params(model, parameters) model.to(device) - _, testset = get_cifar_100() - testloader = torch.utils.data.DataLoader(testset, batch_size=32) - loss, accuracy, auc = test_mobilenet(model, testloader, device=device) - - # return statistics - return loss, {"accuracy": accuracy, "auc": auc} - - -# pylint: disable=unused-argument -def income_evaluate(server_round: int, parameters: NDArrays, config: Dict[str, Scalar]): - """Evaluate Income model on the test set.""" - model = LogisticRegression() - model = set_sklearn_model_params(model, parameters) - model.classes_ = np.array([0.0, 1.0]) - - _, x_test, _, y_test = get_partitioned_income( - "flanders/datasets_files/adult_server.csv", 1, train_size=0.0, test_size=1.0 - ) - x_test = x_test[0] - y_test = y_test[0] - y_pred = model.predict(x_test) - accuracy = accuracy_score(y_test, y_pred) - loss = log_loss(y_test, model.predict_proba(x_test)) - auc = roc_auc_score(y_test, model.predict_proba(x_test)[:, 1]) + testset = FashionMNIST("", train=False, download=True, transform=transforms.ToTensor()) + testloader = DataLoader(testset, batch_size=32, shuffle=False, num_workers=1) + loss, accuracy, auc = test_fmnist(model, testloader, device=device) return loss, {"accuracy": accuracy, "auc": auc} - -# pylint: disable=unused-argument -def house_evaluate(server_round: int, parameters: NDArrays, config: Dict[str, Scalar]): - """Evaluate House model on the test set.""" - model = ElasticNet(alpha=1, warm_start=True) - model = set_sklearn_model_params(model, parameters) - _, x_test, _, y_test = get_partitioned_house( - "flanders/datasets_files/houses_server.csv", 1, train_size=0.0, test_size=1.0 - ) - x_test = x_test[0] - y_test = y_test[0] - y_pred = model.predict(x_test) - loss = mean_squared_error(y_test, y_pred) - mape = mean_absolute_percentage_error(y_test, y_pred) - rsq = r2_score(y_test, y_pred) - arsq = 1 - (1 - rsq) * (len(y_test) - 1) / ( - len(y_test) - x_test.shape[1] - 1 - ) # noqa - - return loss, {"Adj-R2": arsq, "MAPE": mape} - def update_confusion_matrix(confusion_matrix: Dict[str, int], clients_states: Dict[str, bool], malicious_clients_idx: List, good_clients_idx: List): """Update TN, FP, FN, TP of confusion matrix.""" - print("confusion_matrix", confusion_matrix) - print("clients_states", clients_states) - print("malicious_clients_idx", malicious_clients_idx) - print("good_clients_idx", good_clients_idx) - for client_idx, client_state in clients_states.items(): if int(client_idx) in malicious_clients_idx: if client_state: confusion_matrix["TP"] += 1 else: - confusion_matrix["FN"] += 1 + confusion_matrix["FP"] += 1 elif int(client_idx) in good_clients_idx: if client_state: - confusion_matrix["FP"] += 1 + confusion_matrix["FN"] += 1 else: confusion_matrix["TN"] += 1 return confusion_matrix \ No newline at end of file From 2c6cec1116609aea7fbad1ece2e5e312fae8aecf Mon Sep 17 00:00:00 2001 From: edogab33 Date: Mon, 18 Mar 2024 18:43:05 +0100 Subject: [PATCH 62/91] Update gitignore --- baselines/flanders/.gitignore | 10 ++++++++++ 1 file changed, 10 insertions(+) create mode 100644 baselines/flanders/.gitignore diff --git a/baselines/flanders/.gitignore b/baselines/flanders/.gitignore new file mode 100644 index 000000000000..02f63e86987e --- /dev/null +++ b/baselines/flanders/.gitignore @@ -0,0 +1,10 @@ +outputs/* +clients_params/* +flanders/datasets_files/* +*.log +plotting +flanders/__pycache__ +MNIST +.DS_Store +*/__pycache__ +multirun \ No newline at end of file From ed4601ec7a9af8a1425713fa6524d258c769eecd Mon Sep 17 00:00:00 2001 From: edogab33 Date: Tue, 19 Mar 2024 17:44:43 +0100 Subject: [PATCH 63/91] Fix bugs --- baselines/flanders/flanders/server.py | 3 ++- baselines/flanders/flanders/strategy.py | 22 ++++------------------ 2 files changed, 6 insertions(+), 19 deletions(-) diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index 3cf5434f01ba..3e5079878d9a 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -145,7 +145,8 @@ def fit(self, num_rounds, timeout): self.good_clients_idx, ) - metrics_cen = {key: self.confusion_matrix[key] for key in ["TP", "TN", "FP", "FN"]} + for key, val in self.confusion_matrix.items(): + metrics_cen[key] = val log( INFO, diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index 4b3fc411452c..e5189d85244d 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -233,7 +233,7 @@ def aggregate_fit( anomaly_scores = self.distance_function( ground_truth, predicted_matrix[:, :, 0] ) - log(DEBUG, "Anomaly scores: %s", anomaly_scores) + log(INFO, "Anomaly scores: %s", anomaly_scores) log(INFO, "Selecting good clients") good_clients_idx = sorted( @@ -244,13 +244,13 @@ def aggregate_fit( ) # noqa avg_anomaly_score_gc = np.mean(anomaly_scores[good_clients_idx]) - log(DEBUG, "Average anomaly score for good clients", avg_anomaly_score_gc) + log(INFO, "Average anomaly score for good clients: %s", avg_anomaly_score_gc) avg_anomaly_score_m = np.mean(anomaly_scores[malicious_clients_idx]) - log(DEBUG, "Average anomaly score for malicious clients", avg_anomaly_score_m) + log(INFO, "Average anomaly score for malicious clients: %s", avg_anomaly_score_m) results = np.array(results)[good_clients_idx].tolist() - log(DEBUG, "Good clients: %s", good_clients_idx) + log(INFO, "Good clients: %s", good_clients_idx) log(INFO, "Applying aggregate_fn") # Convert results @@ -297,20 +297,6 @@ def aggregate_fit( malicious_clients_idx, ) - def evaluate( - self, server_round: int, parameters: Parameters - ) -> Optional[Tuple[float, Dict[str, Scalar]]]: - """Evaluate model parameters using an evaluation function.""" - if self.evaluate_fn is None: - # No evaluation function provided - return None - parameters_ndarrays = parameters_to_ndarrays(parameters) - eval_res = self.evaluate_fn(server_round, parameters_ndarrays, {}) - if eval_res is None: - return None - loss, metrics = eval_res - return loss, metrics - # pylint: disable=too-many-locals, too-many-arguments, invalid-name def mar(X, pred_step, alpha=1, beta=1, maxiter=100): From 83f4aeb373f9f80838cbb09ef7534b74b6703370 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Wed, 20 Mar 2024 19:11:59 +0100 Subject: [PATCH 64/91] Fix lint and mypy --- baselines/flanders/flanders/attacks.py | 21 ++++-- baselines/flanders/flanders/client.py | 35 +++++---- baselines/flanders/flanders/dataset.py | 11 ++- baselines/flanders/flanders/main.py | 60 ++++++++-------- baselines/flanders/flanders/models.py | 28 +++++--- baselines/flanders/flanders/server.py | 42 +++++++---- .../flanders/flanders/strategies/aggregate.py | 47 +++++++++--- baselines/flanders/flanders/strategies/dnc.py | 71 ++++++++++--------- baselines/flanders/flanders/strategy.py | 53 ++++++++++---- baselines/flanders/flanders/utils.py | 23 +++--- 10 files changed, 258 insertions(+), 133 deletions(-) diff --git a/baselines/flanders/flanders/attacks.py b/baselines/flanders/flanders/attacks.py index 18b93fc16242..af2c8d14153e 100644 --- a/baselines/flanders/flanders/attacks.py +++ b/baselines/flanders/flanders/attacks.py @@ -202,12 +202,18 @@ def fang_attack( norm_sums += np.linalg.norm(k) dist_wre[i] = norm_sums**2 max_dist = np.max(dist_wre) / np.sqrt(num_layers) - lamda = min(min_dist + max_dist, 999) # lambda (capped to 999 to avoid numerical problems in specific settings) + lamda = min( + min_dist + max_dist, 999 + ) # lambda (capped to 999 to avoid numerical problems in specific settings) - malicious_selected, corrupted_params = _fang_corrupt_and_select(all_params, w_re, states, num_corrupted, lamda) + malicious_selected, corrupted_params = _fang_corrupt_and_select( + all_params, w_re, states, num_corrupted, lamda + ) while lamda > threshold and malicious_selected is False: lamda = lamda * 0.5 - malicious_selected, corrupted_params = _fang_corrupt_and_select(all_params, w_re, states, num_corrupted, lamda) + malicious_selected, corrupted_params = _fang_corrupt_and_select( + all_params, w_re, states, num_corrupted, lamda + ) # Set corrupted clients' updates to w_1 results = [ @@ -312,7 +318,8 @@ def minmax_attack( # Set corrupted clients' updates to corrupted_params params_c = [ - corrupted_params if states[str(i)] else params[i] for i in range(len(params)) + corrupted_params if states[str(i)] else params[i] + for i in range(len(params)) ] distance_matrix = _compute_distances(params_c) @@ -457,15 +464,19 @@ def _get_closest_indices(distance_matrix, num_closest): ) return closest_indices + def _fang_corrupt_params(global_model, lamda): # Compute sign vector num_supporters magnitude = [] for i, _ in enumerate(global_model): magnitude.append(np.sign(global_model[i]) * lamda) - corrupted_params = [global_model[i] - magnitude[i] for i in range(len(global_model))] # corrupted model + corrupted_params = [ + global_model[i] - magnitude[i] for i in range(len(global_model)) + ] # corrupted model return corrupted_params + def _fang_corrupt_and_select(all_models, global_model, states, num_corrupted, lamda): # Check that krum selects a malicious client corrupted_params = _fang_corrupt_params(global_model, lamda) diff --git a/baselines/flanders/flanders/client.py b/baselines/flanders/flanders/client.py index fbddb2532ad9..968e2969f824 100644 --- a/baselines/flanders/flanders/client.py +++ b/baselines/flanders/flanders/client.py @@ -10,16 +10,17 @@ from .dataset import get_dataloader, mnist_transformation from .models import ( - MnistNet, - test_mnist, - train_mnist, - test_fmnist, - train_fmnist, - FMnistNet + FMnistNet, + MnistNet, + test_fmnist, + test_mnist, + train_fmnist, + train_mnist, ) XY = Tuple[np.ndarray, np.ndarray] + def get_params(model): """Get model weights as a list of NumPy ndarrays.""" return [val.cpu().numpy() for _, val in model.state_dict().items()] @@ -45,7 +46,7 @@ def __init__(self, cid, fed_dir_data): self.net = MnistNet() # Determine device - #self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu") + # self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu") if torch.cuda.is_available(): self.device = torch.device("cuda") elif torch.backends.mps.is_available(): @@ -89,14 +90,19 @@ def evaluate(self, parameters, config): # Load data for this client and get trainloader num_workers = len(ray.worker.get_resource_ids()["CPU"]) valloader = get_dataloader( - self.fed_dir, self.cid, is_train=False, batch_size=50, workers=num_workers, transform=mnist_transformation + self.fed_dir, + self.cid, + is_train=False, + batch_size=50, + workers=num_workers, + transform=mnist_transformation, ) self.net.to(self.device) loss, accuracy = test_mnist(self.net, valloader, device=self.device) return float(loss), len(valloader.dataset), {"accuracy": float(accuracy)} - + class FMnistClient(fl.client.NumPyClient): """Implementation of MNIST image classification using PyTorch.""" @@ -111,7 +117,7 @@ def __init__(self, cid, fed_dir_data): self.net = FMnistNet() # Determine device - #self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu") + # self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu") if torch.cuda.is_available(): self.device = torch.device("cuda") elif torch.backends.mps.is_available(): @@ -155,10 +161,15 @@ def evaluate(self, parameters, config): # Load data for this client and get trainloader num_workers = len(ray.worker.get_resource_ids()["CPU"]) valloader = get_dataloader( - self.fed_dir, self.cid, is_train=False, batch_size=50, workers=num_workers, transform=mnist_transformation + self.fed_dir, + self.cid, + is_train=False, + batch_size=50, + workers=num_workers, + transform=mnist_transformation, ) self.net.to(self.device) loss, accuracy = test_fmnist(self.net, valloader, device=self.device) - return float(loss), len(valloader.dataset), {"accuracy": float(accuracy)} \ No newline at end of file + return float(loss), len(valloader.dataset), {"accuracy": float(accuracy)} diff --git a/baselines/flanders/flanders/dataset.py b/baselines/flanders/flanders/dataset.py index a8042a5177b9..28b43a4021f2 100644 --- a/baselines/flanders/flanders/dataset.py +++ b/baselines/flanders/flanders/dataset.py @@ -43,7 +43,12 @@ def get_dataset(path_to_data: Path, cid: str, partition: str, transform=None): def get_dataloader( - path_to_data: str, cid: str, is_train: bool, batch_size: int, workers: int, transform=None + path_to_data: str, + cid: str, + is_train: bool, + batch_size: int, + workers: int, + transform=None, ): """Generate trainset/valset object and returns appropiate dataloader.""" partition = "train" if is_train else "val" @@ -131,6 +136,7 @@ def do_fl_partitioning( return splits_dir + def mnist_transformation(img): """Return TorchVision transformation for MNIST.""" return transforms.Compose( @@ -193,6 +199,7 @@ def __len__(self) -> int: """Return length of dataset.""" return len(self.data) + def get_mnist(path_to_data="flanders/datasets_files/mnist/data"): """Download MNIST dataset.""" # download dataset and load train set @@ -211,6 +218,7 @@ def get_mnist(path_to_data="flanders/datasets_files/mnist/data"): # returns path where training data is and testset return training_data, test_set + def get_fmnist(path_to_data="flanders/datasets_files/fmnist/data"): """Download FashionMNIST dataset.""" # download dataset and load train set @@ -229,6 +237,7 @@ def get_fmnist(path_to_data="flanders/datasets_files/fmnist/data"): # returns path where training data is and testset return training_data, test_set + def dataset_partitioner( dataset: torch.utils.data.Dataset, batch_size: int, diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 37e8a2c5e9d6..90f130b6ac0b 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -1,34 +1,25 @@ -import os -import shutil +"""FLANDERS main scrip.""" + import importlib +import os import random +import shutil import flwr as fl -import numpy as np -import torch import hydra +import numpy as np import pandas as pd +import torch from flwr.server.client_manager import SimpleClientManager from hydra.core.hydra_config import HydraConfig from hydra.utils import instantiate from omegaconf import DictConfig, OmegaConf from .attacks import fang_attack, gaussian_attack, lie_attack, minmax_attack, no_attack -from .client import ( - MnistClient, - FMnistClient, -) -from .dataset import ( - do_fl_partitioning, - get_mnist, - get_fmnist, -) +from .client import FMnistClient, MnistClient +from .dataset import do_fl_partitioning, get_fmnist, get_mnist from .server import EnhancedServer -from .utils import ( - l2_norm, - mnist_evaluate, - fmnist_evaluate, -) +from .utils import fmnist_evaluate, l2_norm, mnist_evaluate # pylint: disable=too-many-locals @@ -41,7 +32,6 @@ def main(cfg: DictConfig) -> None: cfg : DictConfig An omegaconf object that stores the hydra config. """ - # 0. Set random seed seed = cfg.seed np.random.seed(seed) @@ -57,19 +47,29 @@ def main(cfg: DictConfig) -> None: # - strategy = bulyan and num_malicious > 20 # - attack_fn != gaussian and num_malicious = 0 if cfg.strategy.name == "bulyan" and cfg.server.num_malicious > 20: - print("Skipping experiment because strategy is bulyan and num_malicious is > 20") + print( + "Skipping experiment because strategy is bulyan and num_malicious is > 20" + ) return - #skip if attack_fn is not gaussian and num_malicious is 0, but continue if attack_fn is na - if cfg.server.attack_fn != "gaussian" and cfg.server.num_malicious == 0 and cfg.server.attack_fn != "na": - print("Skipping experiment because attack_fn is not gaussian and num_malicious is 0") + # skip if attack_fn is not gaussian and num_malicious is 0, but continue if + # attack_fn is na + if ( + cfg.server.attack_fn != "gaussian" + and cfg.server.num_malicious == 0 + and cfg.server.attack_fn != "na" + ): + print( + "Skipping experiment because attack_fn is not gaussian and " + "num_malicious is 0" + ) return - + attacks = { "na": no_attack, "gaussian": gaussian_attack, "lie": lie_attack, - "fang": fang_attack, # OPT - "minmax": minmax_attack, # AGR-MM + "fang": fang_attack, # OPT + "minmax": minmax_attack, # AGR-MM } clients = { @@ -115,7 +115,7 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): strategy = None if cfg.strategy.name == "flanders": function_path = cfg.aggregate_fn.aggregate_fn.function - module_name, function_name = function_path.rsplit('.', 1) + module_name, function_name = function_path.rsplit(".", 1) module = importlib.import_module(module_name, package=__package__) aggregation_fn = getattr(module, function_name) @@ -247,7 +247,7 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): _, fp = zip(*history.metrics_centralized["FP"]) _, fn = zip(*history.metrics_centralized["FN"]) - path_to_save = [os.path.join(save_path,"results.csv"), "outputs/all_results.csv"] + path_to_save = [os.path.join(save_path, "results.csv"), "outputs/all_results.csv"] for file_name in path_to_save: data = pd.DataFrame( @@ -264,7 +264,9 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): "dataset_name": [dataset_name for _ in range(len(rounds))], "num_malicious": [num_malicious for _ in range(len(rounds))], "strategy": [cfg.strategy.name for _ in range(len(rounds))], - "aggregate_fn": [cfg.aggregate_fn.aggregate_fn.function for _ in range(len(rounds))], + "aggregate_fn": [ + cfg.aggregate_fn.aggregate_fn.function for _ in range(len(rounds)) + ], } ) if os.path.exists(file_name): diff --git a/baselines/flanders/flanders/models.py b/baselines/flanders/flanders/models.py index 3a62e78f950b..a129442a1954 100644 --- a/baselines/flanders/flanders/models.py +++ b/baselines/flanders/flanders/models.py @@ -18,12 +18,15 @@ def roc_auc_multiclass(y_true, y_pred): class MnistNet(nn.Module): + """Neural network for MNIST classification.""" + def __init__(self): super(MnistNet, self).__init__() self.fc1 = nn.Linear(28 * 28, 128) self.fc2 = nn.Linear(128, 10) def forward(self, x): + """Forward pass through the network.""" x = x.view(-1, 28 * 28) x = F.relu(self.fc1(x)) x = self.fc2(x) @@ -31,6 +34,7 @@ def forward(self, x): def train_mnist(model, dataloader, epochs, device): + """Train the network on the training set.""" criterion = nn.CrossEntropyLoss() optimizer = torch.optim.Adam(model.parameters(), lr=0.001) @@ -52,6 +56,7 @@ def train_mnist(model, dataloader, epochs, device): f"Loss: {loss.item():.4f}" ) + # pylint: disable=too-many-locals def test_mnist(model, dataloader, device): """Validate the network on the entire test set.""" @@ -81,30 +86,34 @@ def test_mnist(model, dataloader, device): class FMnistNet(nn.Module): + """Neural network for Fashion MNIST classification.""" + def __init__(self): super().__init__() self.fc1 = nn.Linear(784, 256) self.fc2 = nn.Linear(256, 128) self.fc3 = nn.Linear(128, 64) self.fc4 = nn.Linear(64, 10) - - # Dropout module with a 0.2 drop probability + + # Dropout module with a 0.2 drop probability self.dropout = nn.Dropout(p=0.2) - + def forward(self, x): + """Forward pass through the network.""" # Flatten the input tensor - x = x.view(x.shape[0], -1) + x = x.view(x.shape[0], -1) # Set the activation functions x = self.dropout(F.relu(self.fc1(x))) x = self.dropout(F.relu(self.fc2(x))) x = self.dropout(F.relu(self.fc3(x))) x = F.log_softmax(self.fc4(x), dim=1) - + return x - + def train_fmnist(model, dataloader, epochs, device): - criterion = nn.NLLLoss(reduction ='sum') + """Train the network on the training set.""" + criterion = nn.NLLLoss(reduction="sum") optimizer = torch.optim.Adam(model.parameters(), lr=0.003) for epoch in range(epochs): @@ -125,12 +134,13 @@ def train_fmnist(model, dataloader, epochs, device): f"Loss: {loss.item():.4f}" ) + # pylint: disable=too-many-locals def test_fmnist(model, dataloader, device): """Validate the network on the entire test set.""" loss = 0 model.eval() - criterion = nn.NLLLoss(reduction ='sum') + criterion = nn.NLLLoss(reduction="sum") y_true, y_pred = [], [] with torch.no_grad(): n_correct = 0 @@ -150,4 +160,4 @@ def test_fmnist(model, dataloader, device): y_pred = list(itertools.chain(*y_pred)) auc = roc_auc_multiclass(y_true, y_pred) acc = n_correct / n_samples - return loss, acc, auc \ No newline at end of file + return loss, acc, auc diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index 3e5079878d9a..14eb082faa4b 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -1,6 +1,12 @@ +"""Server with enhanced functionality. + +It can be used to simulate an attacker that controls a fraction of the clients and to +save the parameters of each client in its memory. +""" + import timeit from logging import DEBUG, INFO -from typing import Any, Callable, List, Tuple, Union +from typing import Any, Callable, Dict, List, Tuple, Union import numpy as np from flwr.common import DisconnectRes, EvaluateRes, FitRes, parameters_to_ndarrays @@ -85,9 +91,9 @@ def __init__( self.omniscent = omniscent self.malicious_lst: List = [] self.confusion_matrix = {"TP": 0, "TN": 0, "FP": 0, "FN": 0} - self.clients_state = {} - self.good_clients_idx = [] - self.malicious_clients_idx = [] + self.clients_state: Dict[str, bool] = {} + self.good_clients_idx: List[int] = [] + self.malicious_clients_idx: List[int] = [] # pylint: disable=too-many-locals def fit(self, num_rounds, timeout): @@ -144,10 +150,10 @@ def fit(self, num_rounds, timeout): self.malicious_clients_idx, self.good_clients_idx, ) - + for key, val in self.confusion_matrix.items(): metrics_cen[key] = val - + log( INFO, "fit progress: (%s, %s, %s, %s)", @@ -215,8 +221,8 @@ def fit_round( ) # Create dict clients_state to keep track of malicious clients - clients_state = dict() - for idx, (proxy, _) in enumerate(client_instructions): + clients_state = {} + for _, (proxy, _) in enumerate(client_instructions): clients_state[proxy.cid] = False if proxy.cid in self.malicious_lst: clients_state[proxy.cid] = True @@ -319,14 +325,15 @@ def fit_round( ) else: results = ordered_results - others = {} - + good_clients_idx = [] malicious_clients_idx = [] if isinstance(self.strategy, Flanders): # Aggregate training results log(INFO, "fit_round - Aggregating training results") - aggregated_result = self.strategy.aggregate_fit(server_round, results, failures, clients_state) + aggregated_result = self.strategy.aggregate_fit( + server_round, results, failures, clients_state + ) ( parameters_aggregated, metrics_aggregated, @@ -353,7 +360,12 @@ def fit_round( parameters_to_ndarrays(parameters_aggregated) ) - log(INFO, "Saving parameters of client %s with shape %s", idx, new_params.shape) + log( + INFO, + "Saving parameters of client %s with shape %s", + idx, + new_params.shape, + ) save_params( new_params, idx, @@ -364,10 +376,12 @@ def fit_round( else: # Aggregate training results log(INFO, "fit_round - Aggregating training results") - aggregated_result = self.strategy.aggregate_fit(server_round, results, failures) + aggregated_result = self.strategy.aggregate_fit( + server_round, results, failures + ) parameters_aggregated, metrics_aggregated = aggregated_result self.clients_state = clients_state self.good_clients_idx = good_clients_idx self.malicious_clients_idx = malicious_clients_idx - return parameters_aggregated, metrics_aggregated, (results, failures) \ No newline at end of file + return parameters_aggregated, metrics_aggregated, (results, failures) diff --git a/baselines/flanders/flanders/strategies/aggregate.py b/baselines/flanders/flanders/strategies/aggregate.py index 1022e714d457..921b3f276d1f 100644 --- a/baselines/flanders/flanders/strategies/aggregate.py +++ b/baselines/flanders/flanders/strategies/aggregate.py @@ -1,13 +1,44 @@ +"""Additional aggregation functions used as baselines against FLANDERS.""" + from functools import reduce -from typing import Any, Callable, List, Tuple +from typing import List, Tuple import numpy as np +from flwr.common import NDArrays +from flwr.server.strategy.aggregate import aggregate -from flwr.common import NDArray, NDArrays, parameters_to_ndarrays -from flwr.server.strategy.aggregate import aggregate, _compute_distances from ..utils import flatten_params -def aggregate_dnc(results: List[Tuple[NDArrays, int]], c: float, niters: int, num_malicious: int) -> NDArrays: + +def aggregate_dnc( + results: List[Tuple[NDArrays, int]], c: float, niters: int, num_malicious: int +) -> NDArrays: + """Aggregate fit results using DnC. + + Steps: + 1. Sample models + 2. Dimension-wise mean of parameters (mu) + 3. Compute the centered update (that is, model_i - mu -> model_c) + 4. SVD on model_c + 5. Compute outlier score + 6. Filter "bad" models. + + Parameters + ---------- + results : List[Tuple[NDArrays, int]] + The list of results from the clients. + c : float + The filtering fraction. + niters : int + The number of iterations. + num_malicious : int + The number of malicious clients. + + Returns + ------- + NDArrays + The aggregated parameters. + """ num_clients = len(results) flattened_params = [flatten_params(params) for params, _ in results] I_good = [] @@ -23,14 +54,14 @@ def aggregate_dnc(results: List[Tuple[NDArrays, int]], c: float, niters: int, nu _, _, v = np.linalg.svd(model_c, full_matrices=False) s = [np.inner(model_i, v[0, :]) ** 2 for model_i in flattened_params] - # save in I the self.sample_size[-1] - self.c * self.m[-1] smallestvalues from s + # save in I the num_clients - c * num_malicious smallestvalues from s # and return the indices of the smallest values to_keep = int(num_clients - c * num_malicious) - I = np.argsort(np.array(s))[:to_keep] - I_good.append(set(I.tolist())) + I_set = np.argsort(np.array(s))[:to_keep] + I_good.append(set(I_set.tolist())) I_final = list(set.intersection(*I_good)) # Keep only the good models indicated by I_final in results res = [results[i] for i in I_final] aggregated_params = aggregate(res) - return aggregated_params \ No newline at end of file + return aggregated_params diff --git a/baselines/flanders/flanders/strategies/dnc.py b/baselines/flanders/flanders/strategies/dnc.py index 2d2993a9e088..8f8b2df12694 100644 --- a/baselines/flanders/flanders/strategies/dnc.py +++ b/baselines/flanders/flanders/strategies/dnc.py @@ -1,3 +1,8 @@ +"""DnC (Divide-and-Conquer) strategy implementation by Virat Shejwalkar et al. + +https://www.ndss-symposium.org/wp-content/uploads/ndss2021_6C-3_24498_paper.pdf +""" + import typing from logging import WARNING from typing import Callable, Dict, List, Optional, Tuple, Union @@ -9,12 +14,13 @@ NDArrays, Parameters, Scalar, - parameters_to_ndarrays + parameters_to_ndarrays, ) from flwr.common.logger import log -from flwr.server.client_proxy import ClientProxy from flwr.server.client_manager import ClientManager +from flwr.server.client_proxy import ClientProxy from flwr.server.strategy.fedavg import FedAvg + from .aggregate import aggregate_dnc WARNING_MIN_AVAILABLE_CLIENTS_TOO_LOW = """ @@ -24,8 +30,12 @@ than or equal to the values of `min_fit_clients` and `min_evaluate_clients`. """ + class DnC(FedAvg): - """Configurable DnC (Divide-and-Conquer) strategy implementation.""" + """DnC (Divide-and-Conquer) strategy implementation. + + https://www.ndss-symposium.org/wp-content/uploads/ndss2021_6C-3_24498_paper.pdf + """ # pylint: disable=too-many-arguments,too-many-instance-attributes def __init__( @@ -52,31 +62,31 @@ def __init__( fit_metrics_aggregation_fn: Optional[MetricsAggregationFn] = None, evaluate_metrics_aggregation_fn: Optional[MetricsAggregationFn] = None, ) -> None: - """ + """Construct a new DnC strategy. + Parameters ---------- fraction_malicious : float, otional Fraction of malicious clients. Defaults to 0. """ - super().__init__( - fraction_fit=fraction_fit, - fraction_evaluate = fraction_evaluate, - min_fit_clients = min_fit_clients, - min_evaluate_clients = min_evaluate_clients, - min_available_clients = min_available_clients, - evaluate_fn = evaluate_fn, - on_fit_config_fn = on_fit_config_fn, - on_evaluate_config_fn = on_evaluate_config_fn, - accept_failures = accept_failures, - initial_parameters = initial_parameters, - fit_metrics_aggregation_fn = fit_metrics_aggregation_fn, - evaluate_metrics_aggregation_fn = evaluate_metrics_aggregation_fn, - ) + fraction_fit=fraction_fit, + fraction_evaluate=fraction_evaluate, + min_fit_clients=min_fit_clients, + min_evaluate_clients=min_evaluate_clients, + min_available_clients=min_available_clients, + evaluate_fn=evaluate_fn, + on_fit_config_fn=on_fit_config_fn, + on_evaluate_config_fn=on_evaluate_config_fn, + accept_failures=accept_failures, + initial_parameters=initial_parameters, + fit_metrics_aggregation_fn=fit_metrics_aggregation_fn, + evaluate_metrics_aggregation_fn=evaluate_metrics_aggregation_fn, + ) self.num_malicious_clients = num_malicious_clients self.c = c self.niters = niters - + @typing.no_type_check def configure_fit( self, server_round: int, parameters: Parameters, client_manager: ClientManager @@ -107,28 +117,25 @@ def configure_fit( for client, fit in zip(clients, fit_ins_list): result.append((client, fit)) return result - + + @typing.no_type_check def aggregate_fit( self, server_round: int, results: List[Tuple[ClientProxy, FitRes]], failures: List[Union[Tuple[ClientProxy, FitRes], BaseException]], ) -> Tuple[Optional[Parameters], Dict[str, Scalar]]: - """Aggregate fit results using DnC. - Steps: - 1. Sample models - 2. Dimension-wise mean of parameters (mu) - 3. Compute the centered update (that is, model_i - mu -> model_c) - 4. SVD on model_c - 5. Compute outlier score - 6. Filter "bad" models - """ + """Aggregate fit results using DnC.""" weights_results = [ (parameters_to_ndarrays(fit_res.parameters), fit_res.num_examples) for _, fit_res in results ] - parameters_aggregated = aggregate_dnc(weights_results, self.c, self.niters, len(results)) - parameters_aggregated, metrics_aggregated = super().aggregate_fit(server_round, results, failures) + parameters_aggregated = aggregate_dnc( + weights_results, self.c, self.niters, len(results) + ) + parameters_aggregated, metrics_aggregated = super().aggregate_fit( + server_round, results, failures + ) # Aggregate custom metrics if aggregation fn was provided metrics_aggregated = {} @@ -138,4 +145,4 @@ def aggregate_fit( elif server_round == 1: # Only log this warning once log(WARNING, "No fit_metrics_aggregation_fn provided") - return parameters_aggregated, metrics_aggregated \ No newline at end of file + return parameters_aggregated, metrics_aggregated diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index e5189d85244d..17908e60185d 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -1,9 +1,9 @@ """FLANDERS strategy.""" +import importlib import typing from logging import INFO, WARNING from typing import Callable, Dict, List, Optional, Tuple, Union -import importlib import numpy as np from flwr.common import ( @@ -16,7 +16,6 @@ ndarrays_to_parameters, parameters_to_ndarrays, ) -from flwr.server.strategy.aggregate import aggregate from flwr.common.logger import log from flwr.server.client_manager import ClientManager from flwr.server.client_proxy import ClientProxy @@ -61,7 +60,7 @@ def __init__( evaluate_metrics_aggregation_fn: Optional[MetricsAggregationFn] = None, num_clients_to_keep: int = 1, aggregate_fn: Callable = aggregate, - aggregate_parameters: Dict[str, Scalar] = {}, + aggregate_parameters: Optional[Dict[str, Scalar]] = None, window: int = 0, maxiter: int = 100, alpha: float = 1, @@ -146,6 +145,8 @@ def __init__( self.distance_function = distance_function self.aggregate_fn = aggregate_fn self.aggregate_parameters = aggregate_parameters + if self.aggregate_parameters is None: + self.aggregate_parameters = {} @typing.no_type_check def configure_fit( @@ -244,10 +245,16 @@ def aggregate_fit( ) # noqa avg_anomaly_score_gc = np.mean(anomaly_scores[good_clients_idx]) - log(INFO, "Average anomaly score for good clients: %s", avg_anomaly_score_gc) - + log( + INFO, "Average anomaly score for good clients: %s", avg_anomaly_score_gc + ) + avg_anomaly_score_m = np.mean(anomaly_scores[malicious_clients_idx]) - log(INFO, "Average anomaly score for malicious clients: %s", avg_anomaly_score_m) + log( + INFO, + "Average anomaly score for malicious clients: %s", + avg_anomaly_score_m, + ) results = np.array(results)[good_clients_idx].tolist() log(INFO, "Good clients: %s", good_clients_idx) @@ -261,26 +268,42 @@ def aggregate_fit( # Check that self.aggregate_fn has num_malicious parameter if "num_malicious" in self.aggregate_fn.__code__.co_varnames: - # Count the number of malicious clients in good_clients_idx by checking clients_state + # Count the number of malicious clients in + # good_clients_idx by checking clients_state num_malicious = sum([clients_state[str(cid)] for cid in good_clients_idx]) - log(INFO, "Number of malicious clients in good_clients_idx after FLANDERS filtering: %s", num_malicious) + log( + INFO, + "Number of malicious clients in good_clients_idx after filtering: %s", + num_malicious, + ) self.aggregate_parameters["num_malicious"] = num_malicious - + if "aggregation_rule" in self.aggregate_fn.__code__.co_varnames: - module = importlib.import_module(self.aggregate_parameters["aggregation_module_name"]) + module = importlib.import_module( + self.aggregate_parameters["aggregation_module_name"] + ) function_name = self.aggregate_parameters["aggregation_name"] - self.aggregate_parameters["aggregation_rule"] = getattr(module, function_name) - # Remove aggregation_module_name and aggregation_name from self.aggregate_parameters + self.aggregate_parameters["aggregation_rule"] = getattr( + module, function_name + ) + # Remove aggregation_module_name and aggregation_name + # from self.aggregate_parameters aggregate_parameters = self.aggregate_parameters.copy() del aggregate_parameters["aggregation_module_name"] del aggregate_parameters["aggregation_name"] try: - parameters_aggregated = ndarrays_to_parameters(self.aggregate_fn(weights_results, **aggregate_parameters)) + parameters_aggregated = ndarrays_to_parameters( + self.aggregate_fn(weights_results, **aggregate_parameters) + ) except ValueError as e: log(WARNING, f"Error in aggregate_fn: {e}") - parameters_aggregated = ndarrays_to_parameters(aggregate(weights_results)) + parameters_aggregated = ndarrays_to_parameters( + aggregate(weights_results) + ) else: - parameters_aggregated = ndarrays_to_parameters(self.aggregate_fn(weights_results, **self.aggregate_parameters)) + parameters_aggregated = ndarrays_to_parameters( + self.aggregate_fn(weights_results, **self.aggregate_parameters) + ) # Aggregate custom metrics if aggregation fn was provided metrics_aggregated = {} diff --git a/baselines/flanders/flanders/utils.py b/baselines/flanders/flanders/utils.py index d9af97ff80fd..619e685e51cd 100644 --- a/baselines/flanders/flanders/utils.py +++ b/baselines/flanders/flanders/utils.py @@ -2,19 +2,18 @@ import os from threading import Lock -from typing import Callable, Dict, Optional, Tuple, List +from typing import Callable, Dict, List, Optional, Tuple import numpy as np import torch from flwr.common import NDArrays, Parameters, Scalar, parameters_to_ndarrays from natsort import natsorted - from torch.utils.data import DataLoader from torchvision import transforms from torchvision.datasets import MNIST, FashionMNIST from .client import set_params -from .models import MnistNet, FMnistNet, test_mnist, test_fmnist +from .models import FMnistNet, MnistNet, test_fmnist, test_mnist lock = Lock() @@ -38,6 +37,7 @@ def l2_norm(true_matrix, predicted_matrix): anomaly_scores = np.sum(delta**2, axis=-1) ** (1.0 / 2) return anomaly_scores + def save_params( parameters, cid, params_dir="clients_params", remove_last=False, rrl=False ): @@ -126,7 +126,6 @@ def mnist_evaluate(server_round: int, parameters: NDArrays, config: Dict[str, Sc else: device = torch.device("cpu") - model = MnistNet() set_params(model, parameters) model.to(device) @@ -137,6 +136,7 @@ def mnist_evaluate(server_round: int, parameters: NDArrays, config: Dict[str, Sc return loss, {"accuracy": accuracy, "auc": auc} + # pylint: disable=unused-argument def fmnist_evaluate(server_round: int, parameters: NDArrays, config: Dict[str, Scalar]): """Evaluate MNIST model on the test set.""" @@ -148,18 +148,25 @@ def fmnist_evaluate(server_round: int, parameters: NDArrays, config: Dict[str, S else: device = torch.device("cpu") - model = FMnistNet() set_params(model, parameters) model.to(device) - testset = FashionMNIST("", train=False, download=True, transform=transforms.ToTensor()) + testset = FashionMNIST( + "", train=False, download=True, transform=transforms.ToTensor() + ) testloader = DataLoader(testset, batch_size=32, shuffle=False, num_workers=1) loss, accuracy, auc = test_fmnist(model, testloader, device=device) return loss, {"accuracy": accuracy, "auc": auc} -def update_confusion_matrix(confusion_matrix: Dict[str, int], clients_states: Dict[str, bool], malicious_clients_idx: List, good_clients_idx: List): + +def update_confusion_matrix( + confusion_matrix: Dict[str, int], + clients_states: Dict[str, bool], + malicious_clients_idx: List, + good_clients_idx: List, +): """Update TN, FP, FN, TP of confusion matrix.""" for client_idx, client_state in clients_states.items(): if int(client_idx) in malicious_clients_idx: @@ -172,4 +179,4 @@ def update_confusion_matrix(confusion_matrix: Dict[str, int], clients_states: Di confusion_matrix["FN"] += 1 else: confusion_matrix["TN"] += 1 - return confusion_matrix \ No newline at end of file + return confusion_matrix From 5dbb153872f277746df0196fe1d268e9e30d523b Mon Sep 17 00:00:00 2001 From: edogab33 Date: Wed, 20 Mar 2024 19:28:14 +0100 Subject: [PATCH 65/91] Fix lint --- baselines/flanders/flanders/dataset.py | 1 + baselines/flanders/flanders/main.py | 22 ++++++++++++---------- baselines/flanders/flanders/models.py | 2 +- baselines/flanders/flanders/server.py | 2 +- baselines/flanders/flanders/strategy.py | 4 ++-- 5 files changed, 17 insertions(+), 14 deletions(-) diff --git a/baselines/flanders/flanders/dataset.py b/baselines/flanders/flanders/dataset.py index 28b43a4021f2..c12859147ce4 100644 --- a/baselines/flanders/flanders/dataset.py +++ b/baselines/flanders/flanders/dataset.py @@ -42,6 +42,7 @@ def get_dataset(path_to_data: Path, cid: str, partition: str, transform=None): return TorchVisionFL(path_to_data, transform=transform) +# pylint: disable=too-many-arguments, too-many-locals def get_dataloader( path_to_data: str, cid: str, diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 90f130b6ac0b..278f847ffbdd 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -35,7 +35,9 @@ def main(cfg: DictConfig) -> None: # 0. Set random seed seed = cfg.seed np.random.seed(seed) - np.random.set_state(np.random.RandomState(seed).get_state()) + np.random.set_state( + np.random.RandomState(seed).get_state() + ) # pylint: disable=no-member random.seed(seed) torch.manual_seed(seed) torch.cuda.manual_seed(seed) @@ -104,7 +106,7 @@ def main(cfg: DictConfig) -> None: # 3. Define your clients # pylint: disable=no-else-return - def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): + def client_fn(cid: str, dataset_name: str = dataset_name): client = clients[dataset_name][0] if dataset_name in ["mnist", "fmnist", "cifar", "cifar100"]: return client(cid, fed_dir) @@ -242,10 +244,10 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): rounds, test_loss = zip(*history.losses_centralized) _, test_accuracy = zip(*history.metrics_centralized["accuracy"]) _, test_auc = zip(*history.metrics_centralized["auc"]) - _, tp = zip(*history.metrics_centralized["TP"]) - _, tn = zip(*history.metrics_centralized["TN"]) - _, fp = zip(*history.metrics_centralized["FP"]) - _, fn = zip(*history.metrics_centralized["FN"]) + _, truep = zip(*history.metrics_centralized["TP"]) + _, truen = zip(*history.metrics_centralized["TN"]) + _, falsep = zip(*history.metrics_centralized["FP"]) + _, falsen = zip(*history.metrics_centralized["FN"]) path_to_save = [os.path.join(save_path, "results.csv"), "outputs/all_results.csv"] @@ -256,10 +258,10 @@ def client_fn(cid: str, pool_size: int = 10, dataset_name: str = dataset_name): "loss": test_loss, "accuracy": test_accuracy, "auc": test_auc, - "TP": tp, - "TN": tn, - "FP": fp, - "FN": fn, + "TP": truep, + "TN": truen, + "FP": falsep, + "FN": falsen, "attack_fn": [attack_fn for _ in range(len(rounds))], "dataset_name": [dataset_name for _ in range(len(rounds))], "num_malicious": [num_malicious for _ in range(len(rounds))], diff --git a/baselines/flanders/flanders/models.py b/baselines/flanders/flanders/models.py index a129442a1954..d8d28da52861 100644 --- a/baselines/flanders/flanders/models.py +++ b/baselines/flanders/flanders/models.py @@ -21,7 +21,7 @@ class MnistNet(nn.Module): """Neural network for MNIST classification.""" def __init__(self): - super(MnistNet, self).__init__() + super().__init__() self.fc1 = nn.Linear(28 * 28, 128) self.fc2 = nn.Linear(128, 10) diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index 14eb082faa4b..df2e53b867ac 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -286,7 +286,7 @@ def fit_round( # the server simulates an attacker that controls a fraction of the clients if self.attack_fn is not None and server_round > self.warmup_rounds: log(INFO, "Applying attack function") - results, others = self.attack_fn( + results, _ = self.attack_fn( ordered_results, clients_state, omniscent=self.omniscent, diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index 17908e60185d..389cbba41793 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -295,8 +295,8 @@ def aggregate_fit( parameters_aggregated = ndarrays_to_parameters( self.aggregate_fn(weights_results, **aggregate_parameters) ) - except ValueError as e: - log(WARNING, f"Error in aggregate_fn: {e}") + except ValueError as err: + log(WARNING, "Error in aggregate_fn: %s", err) parameters_aggregated = ndarrays_to_parameters( aggregate(weights_results) ) From 4abf7d44fc97a99cba12b78a039cab9bda7922c4 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Thu, 21 Mar 2024 19:38:45 +0100 Subject: [PATCH 66/91] Fix strategy API for aggregate_fit() --- baselines/flanders/flanders/attacks.py | 20 +++++++------ baselines/flanders/flanders/client.py | 3 +- baselines/flanders/flanders/dataset.py | 4 +-- baselines/flanders/flanders/main.py | 6 ++-- baselines/flanders/flanders/models.py | 1 + baselines/flanders/flanders/server.py | 29 +++++++++---------- baselines/flanders/flanders/strategies/dnc.py | 8 +++-- baselines/flanders/flanders/strategy.py | 26 ++++++++++------- 8 files changed, 53 insertions(+), 44 deletions(-) diff --git a/baselines/flanders/flanders/attacks.py b/baselines/flanders/flanders/attacks.py index af2c8d14153e..9b1acd9ad639 100644 --- a/baselines/flanders/flanders/attacks.py +++ b/baselines/flanders/flanders/attacks.py @@ -218,16 +218,18 @@ def fang_attack( # Set corrupted clients' updates to w_1 results = [ ( - proxy, - FitRes( - fitres.status, - parameters=ndarrays_to_parameters(corrupted_params), - num_examples=fitres.num_examples, - metrics=fitres.metrics, - ), + ( + proxy, + FitRes( + fitres.status, + parameters=ndarrays_to_parameters(corrupted_params), + num_examples=fitres.num_examples, + metrics=fitres.metrics, + ), + ) + if states[fitres.metrics["cid"]] + else (proxy, fitres) ) - if states[fitres.metrics["cid"]] - else (proxy, fitres) for proxy, fitres in ordered_results ] diff --git a/baselines/flanders/flanders/client.py b/baselines/flanders/flanders/client.py index 968e2969f824..53542f0b561c 100644 --- a/baselines/flanders/flanders/client.py +++ b/baselines/flanders/flanders/client.py @@ -1,4 +1,5 @@ """Clients implementation for Flanders.""" + from collections import OrderedDict from pathlib import Path from typing import Tuple @@ -80,7 +81,7 @@ def fit(self, parameters, config): return ( get_params(self.net), len(trainloader.dataset), - {"cid": self.cid}, + {"cid": self.cid, "malicious": config["malicious"]}, ) def evaluate(self, parameters, config): diff --git a/baselines/flanders/flanders/dataset.py b/baselines/flanders/flanders/dataset.py index c12859147ce4..2c13e80d75c5 100644 --- a/baselines/flanders/flanders/dataset.py +++ b/baselines/flanders/flanders/dataset.py @@ -151,8 +151,8 @@ def mnist_transformation(img): class TorchVisionFL(VisionDataset): """TorchVision FL class. - Use this class by either passing a path to a torch file (.pt) containing - (data, targets) or pass the data, targets directly instead. + Use this class by either passing a path to a torch file (.pt) containing (data, + targets) or pass the data, targets directly instead. This is just a trimmed down version of torchvision.datasets.MNIST. """ diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 278f847ffbdd..4e71a078517e 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -22,7 +22,7 @@ from .utils import fmnist_evaluate, l2_norm, mnist_evaluate -# pylint: disable=too-many-locals +# pylint: disable=too-many-locals, too-many-branches, too-many-statements @hydra.main(config_path="conf", config_name="base", version_base=None) def main(cfg: DictConfig) -> None: """Run the baseline. @@ -36,8 +36,8 @@ def main(cfg: DictConfig) -> None: seed = cfg.seed np.random.seed(seed) np.random.set_state( - np.random.RandomState(seed).get_state() - ) # pylint: disable=no-member + np.random.RandomState(seed).get_state() # pylint: disable=no-member + ) random.seed(seed) torch.manual_seed(seed) torch.cuda.manual_seed(seed) diff --git a/baselines/flanders/flanders/models.py b/baselines/flanders/flanders/models.py index d8d28da52861..2fd10f5496d3 100644 --- a/baselines/flanders/flanders/models.py +++ b/baselines/flanders/flanders/models.py @@ -1,4 +1,5 @@ """Models for FLANDERS experiments.""" + import itertools import torch diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index df2e53b867ac..35aaa7ed2e47 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -221,11 +221,15 @@ def fit_round( ) # Create dict clients_state to keep track of malicious clients + # and send the information to the clients clients_state = {} - for _, (proxy, _) in enumerate(client_instructions): + for _, (proxy, ins) in enumerate(client_instructions): clients_state[proxy.cid] = False + ins.config["malicious"] = False if proxy.cid in self.malicious_lst: clients_state[proxy.cid] = True + ins.config["malicious"] = True + # Sort clients states clients_state = {k: clients_state[k] for k in sorted(clients_state)} log( @@ -326,20 +330,18 @@ def fit_round( else: results = ordered_results + # Aggregate training results + log(INFO, "fit_round - Aggregating training results") good_clients_idx = [] malicious_clients_idx = [] + aggregated_result = self.strategy.aggregate_fit( + server_round, results, failures + ) if isinstance(self.strategy, Flanders): - # Aggregate training results - log(INFO, "fit_round - Aggregating training results") - aggregated_result = self.strategy.aggregate_fit( - server_round, results, failures, clients_state - ) - ( - parameters_aggregated, - metrics_aggregated, - good_clients_idx, - malicious_clients_idx, - ) = aggregated_result + parameters_aggregated, metrics_aggregated = aggregated_result + malicious_clients_idx = metrics_aggregated["malicious_clients_idx"] + good_clients_idx = metrics_aggregated["good_clients_idx"] + log(INFO, "Malicious clients: %s", malicious_clients_idx) log(INFO, "clients_state: %s", clients_state) @@ -376,9 +378,6 @@ def fit_round( else: # Aggregate training results log(INFO, "fit_round - Aggregating training results") - aggregated_result = self.strategy.aggregate_fit( - server_round, results, failures - ) parameters_aggregated, metrics_aggregated = aggregated_result self.clients_state = clients_state diff --git a/baselines/flanders/flanders/strategies/dnc.py b/baselines/flanders/flanders/strategies/dnc.py index 8f8b2df12694..e4d7681049d0 100644 --- a/baselines/flanders/flanders/strategies/dnc.py +++ b/baselines/flanders/flanders/strategies/dnc.py @@ -101,9 +101,11 @@ def configure_fit( fit_ins_list = [ FitIns( parameters, - {} - if not self.on_fit_config_fn - else self.on_fit_config_fn(server_round), + ( + {} + if not self.on_fit_config_fn + else self.on_fit_config_fn(server_round) + ), ) for _ in range(sample_size) ] diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index 389cbba41793..a18aecf0195b 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -162,9 +162,11 @@ def configure_fit( fit_ins_list = [ FitIns( parameters, - {} - if not self.on_fit_config_fn - else self.on_fit_config_fn(server_round), + ( + {} + if not self.on_fit_config_fn + else self.on_fit_config_fn(server_round) + ), ) for _ in range(sample_size) ] @@ -186,7 +188,6 @@ def aggregate_fit( server_round: int, results: List[Tuple[ClientProxy, FitRes]], failures: List[Union[Tuple[ClientProxy, FitRes], BaseException]], - clients_state: Dict[str, bool], ) -> Tuple[Optional[Parameters], Dict[str, Scalar]]: """Apply MAR forecasting to exclude malicious clients from FedAvg. @@ -269,7 +270,11 @@ def aggregate_fit( # Check that self.aggregate_fn has num_malicious parameter if "num_malicious" in self.aggregate_fn.__code__.co_varnames: # Count the number of malicious clients in - # good_clients_idx by checking clients_state + # good_clients_idx by checking FitRes + clients_state = { + str(fit_res.metrics["cid"]): fit_res.metrics["malicious"] + for _, fit_res in results + } num_malicious = sum([clients_state[str(cid)] for cid in good_clients_idx]) log( INFO, @@ -313,12 +318,11 @@ def aggregate_fit( elif server_round == 1: # Only log this warning once log(WARNING, "No fit_metrics_aggregation_fn provided") - return ( - parameters_aggregated, - metrics_aggregated, - good_clients_idx, - malicious_clients_idx, - ) + # Add good_clients_idx and malicious_clients_idx to metrics_aggregated + metrics_aggregated["good_clients_idx"] = good_clients_idx + metrics_aggregated["malicious_clients_idx"] = malicious_clients_idx + + return parameters_aggregated, metrics_aggregated # pylint: disable=too-many-locals, too-many-arguments, invalid-name From 18ed0f671752ee6a8f9cdd4e6326a8916f68a329 Mon Sep 17 00:00:00 2001 From: jafermarq Date: Wed, 24 Apr 2024 20:21:26 +0000 Subject: [PATCH 67/91] formatting fix --- baselines/flanders/flanders/server.py | 8 +++----- baselines/flanders/flanders/strategy.py | 2 +- 2 files changed, 4 insertions(+), 6 deletions(-) diff --git a/baselines/flanders/flanders/server.py b/baselines/flanders/flanders/server.py index 35aaa7ed2e47..622aa890a966 100644 --- a/baselines/flanders/flanders/server.py +++ b/baselines/flanders/flanders/server.py @@ -229,7 +229,7 @@ def fit_round( if proxy.cid in self.malicious_lst: clients_state[proxy.cid] = True ins.config["malicious"] = True - + # Sort clients states clients_state = {k: clients_state[k] for k in sorted(clients_state)} log( @@ -334,14 +334,12 @@ def fit_round( log(INFO, "fit_round - Aggregating training results") good_clients_idx = [] malicious_clients_idx = [] - aggregated_result = self.strategy.aggregate_fit( - server_round, results, failures - ) + aggregated_result = self.strategy.aggregate_fit(server_round, results, failures) if isinstance(self.strategy, Flanders): parameters_aggregated, metrics_aggregated = aggregated_result malicious_clients_idx = metrics_aggregated["malicious_clients_idx"] good_clients_idx = metrics_aggregated["good_clients_idx"] - + log(INFO, "Malicious clients: %s", malicious_clients_idx) log(INFO, "clients_state: %s", clients_state) diff --git a/baselines/flanders/flanders/strategy.py b/baselines/flanders/flanders/strategy.py index a18aecf0195b..36dbc1182653 100644 --- a/baselines/flanders/flanders/strategy.py +++ b/baselines/flanders/flanders/strategy.py @@ -181,7 +181,7 @@ def configure_fit( result.append((client, fit)) return result - # pylint: disable=too-many-locals + # pylint: disable=too-many-locals,too-many-statements @typing.no_type_check def aggregate_fit( self, From e3242d00274cb6d93daa4342b1bef7c48bc234f7 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Fri, 7 Jun 2024 14:23:24 +0200 Subject: [PATCH 68/91] Fix bugs --- baselines/flanders/flanders/client.py | 2 +- baselines/flanders/flanders/dataset_preparation.py | 4 ++-- baselines/flanders/flanders/main.py | 4 ++-- 3 files changed, 5 insertions(+), 5 deletions(-) diff --git a/baselines/flanders/flanders/client.py b/baselines/flanders/flanders/client.py index 53542f0b561c..d434cb038edb 100644 --- a/baselines/flanders/flanders/client.py +++ b/baselines/flanders/flanders/client.py @@ -152,7 +152,7 @@ def fit(self, parameters, config): return ( get_params(self.net), len(trainloader.dataset), - {"cid": self.cid}, + {"cid": self.cid, "malicious": config["malicious"]}, ) def evaluate(self, parameters, config): diff --git a/baselines/flanders/flanders/dataset_preparation.py b/baselines/flanders/flanders/dataset_preparation.py index b8dad192ceea..3c1cfbe6a5d2 100644 --- a/baselines/flanders/flanders/dataset_preparation.py +++ b/baselines/flanders/flanders/dataset_preparation.py @@ -117,7 +117,7 @@ def create_partitions( ) -> XYList: """Create partitioned version of a training or test set. - Currently tested and supported are MNIST, FashionMNIST and CIFAR-10/100 + Currently tested and supported are MNIST and FashionMNIST """ x, y = unpartitioned_dataset @@ -145,7 +145,7 @@ def create_partitioned_dataset( ) -> Tuple[PartitionedDataset, XY]: """Create partitioned version of keras dataset. - Currently tested and supported are MNIST, FashionMNIST and CIFAR-10/100 + Currently tested and supported are MNIST and FashionMNIST """ xy_train, xy_test = keras_dataset diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 4e71a078517e..3f753c7fcbe5 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -88,7 +88,7 @@ def main(cfg: DictConfig) -> None: num_malicious = cfg.server.num_malicious # 2. Prepare your dataset - if dataset_name in ["mnist", "fmnist", "cifar"]: + if dataset_name in ["mnist", "fmnist"]: if dataset_name == "mnist": train_path, _ = get_mnist() elif dataset_name == "fmnist": @@ -108,7 +108,7 @@ def main(cfg: DictConfig) -> None: # pylint: disable=no-else-return def client_fn(cid: str, dataset_name: str = dataset_name): client = clients[dataset_name][0] - if dataset_name in ["mnist", "fmnist", "cifar", "cifar100"]: + if dataset_name in ["mnist", "fmnist"]: return client(cid, fed_dir) else: raise ValueError("Dataset not supported") From 5e3443cfd6e62fe40817c381e23f70c7e1998225 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Fri, 7 Jun 2024 16:45:35 +0200 Subject: [PATCH 69/91] Update README --- baselines/flanders/README.md | 44 +++++++++++++++++++----------------- 1 file changed, 23 insertions(+), 21 deletions(-) diff --git a/baselines/flanders/README.md b/baselines/flanders/README.md index af9a52907fac..a0b7d73d8777 100644 --- a/baselines/flanders/README.md +++ b/baselines/flanders/README.md @@ -7,33 +7,28 @@ dataset: [MNIST, Income, CIFAR-10, California Housing] **Paper:** [arxiv.org/abs/2303.16668](https://arxiv.org/abs/2303.16668) -**Authors:** Gabriele Tolomei, Edoardo Gabrielli, Dimitri Belli, Vittorio Miori - -**Abstract:** In this work, we propose FLANDERS, a novel federated learning (FL) aggregation scheme robust to Byzantine attacks. FLANDERS considers the local model updates sent by clients at each FL round as a matrix-valued time series. Then, it identifies malicious clients as outliers of this time series by comparing actual observations with those estimated by a matrix autoregressive forecasting model. Experiments conducted on several datasets under different FL settings demonstrate that FLANDERS matches the robustness of the most powerful baselines against Byzantine clients. Furthermore, FLANDERS remains highly effective even under extremely severe attack scenarios, as opposed to existing defense strategies. +**Authors:** Edoardo Gabrielli, Gabriele Tolomei, Dimitri Belli, Vittorio Miori +**Abstract:** Current defense mechanisms against model poisoning attacks in federated learning (FL) systems have proven effective up to a certain threshold of malicious clients. In this work, we introduce FLANDERS, a novel pre-aggregation filter for FL resilient to large-scale model poisoning attacks, i.e., when malicious clients far exceed legitimate participants. FLANDERS treats the sequence of local models sent by clients in each FL round as a matrix-valued time series. Then, it identifies malicious client updates as outliers in this time series by comparing actual observations with estimates generated by a matrix autoregressive forecasting model maintained by the server. Experiments conducted in several non-iid FL setups show that FLANDERS significantly improves robustness across a wide spectrum of attacks when paired with standard and robust existing aggregation methods. ## About this baseline -**What’s implemented:** The code in this directory replicates the results on MNIST and Income datasets under all attack settings (Gaussian, LIE, OPT and AGR-MM), but I've also implemented the code for California Housing and CIFAR-10. More specifically, you can reproduce part of Fig. 3 (a) and (b), and part of Fig. 4 and Fig. 5 in Appendix G.2 (there's no division between $b\lt50%$, and $b\ge50%$.). Since here I do not compare FLANDERS with other defence baselines, all attacks are grouped into the same plot. +**What’s implemented:** The code in this directory replicates the results of FLANDERS+\[baseline\] on MNIST and Fashion-MNIST under all attack settings: Gaussian, LIE, OPT, and AGR-MM; with $r=[0.2,0.6,0.8]$, specifically about tables 1, 3, 10, 11, 15, 17, 19, 20 and Figure 3. -**Datasets:** MNIST, Income +**Datasets:** MNIST, FMNIST -**Hardware Setup:** Apple M2 Pro, 16gb RAM +**Hardware Setup:** AMD Ryzen 9, 64 GB RAM, and an NVIDIA 4090 GPU with 24 GB VRAM. -**Estimated time to run:** For **Income**, 117 seconds. For **MNIST**, 24 minutes. This is the time estimated for a *single experiment* (i.e. 50 rounds, 10 clients sampled each round, 1 local epoch). +**Estimated time to run:** You can expect to run experiments on the given setup in 2m with MNIST and 1h30m with Fashion-MNIST. With an Apple M2 Pro, 16gb RAM; each experiment with 10 clients for **MNIST** runs in about 24 minutes. Note that experiments with OPT (fang) and AGR-MM (minmax) can be 10x slower. -**Contributors:** Edoardo Gabrielli, University of Rome "La Sapienza" ([GitHub](https://github.com/edogab33), [LinkedIn](https://www.linkedin.com/in/edoardog/), [Scholar](https://scholar.google.com/citations?user=b3bePdYAAAAJ)) +**Contributors:** Edoardo Gabrielli, Sapienza University of Rome ([GitHub](https://github.com/edogab33), [Scholar](https://scholar.google.com/citations?user=b3bePdYAAAAJ)) ## Experimental Setup -**Task:** Image classification, logistic regression, linear regression - -**Models:** Appendix C of the paper describes the models, but here's a summary. +**Task:** Image classification -Income (binary classification): -- cyclic coordinate descent (CCD) -- L1-regularized binary cross-entropy loss (LASSO) +**Models:** Appendix F and G of the paper describes the models, but here's a summary. MNIST (multilabel classification, fully connected, feed forward NN): - Multilevel Perceptron (MLP) @@ -42,6 +37,13 @@ MNIST (multilabel classification, fully connected, feed forward NN): - hidden layer 1: 128 - hidden layer 2: 256 +Fashion-MNIST (multilabel classification, fully connected, feed forward NN): +- Multilevel Perceptron (MLP) +- minimizing multiclass cross-entropy loss using Adam optimizer +- input: 784 +- hidden layer 1: 256 +- hidden layer 2: 128 +- hidden layer 3: 64 **Dataset:** Every dataset is partitioned into two disjoint sets: 80% for training and 20% for testing. The training set is distributed uniformly across all clients (100), while the testing set is held by the server to evaluate the global model. @@ -54,12 +56,12 @@ MNIST (multilabel classification, fully connected, feed forward NN): **Training Hyperparameters:** -| Dataset | # of clients | Clients per round | # of rounds | $L$ | Batch size | Learning rate | $\lambda_1$ | $\lambda_2$ | Optimizer | Dropout | Alpha | Beta | # of clients to keep | Sampling | -| -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -| Income | 10 | 100 | 50 | 30 | \ | \ | 1.0 | 0.0 | CCD | \ | 0.0 | 0.0 | 1 | \ | -| MNIST | 10 | 100 | 50 | 30 | 32 | $10^{-3}$ | \ | \ | Adam | 0.2 | 0.0 | 0.0 | 1 | \ | +| Dataset | # of clients | Clients per round | # of rounds | Batch size | Learning rate | Optimizer | Dropout | Alpha | Beta | # of clients to keep | Sampling | +| -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | +| MNIST | 100 | 100 | 50 | 32 | $10^{-3}$ | Adam | 0.2 | 0.0 | 0.0 | $m - f$ | 500 | +| FMNIST | 100 | 100 | 50 | 32 | $10^{-3}$ | Adam | 0.2 | 0.0 | 0.0 | $m - f$ | 500 | -Where $\lambda_1$ and $\lambda_2$ are Lasso and Ridge regularization terms, $L$ is the number of warmup rounds (rounds without any attack) and the number of malicious clients ranges from 0 to 9. +Where $m$ is the number of clients partecipating during n-th round and $f$ is the number of malicious clients. The variable $sampling$ identifies how many parameters MAR analyzes. ## Environment Setup @@ -95,7 +97,7 @@ python -m flanders.main dataset=income server.attack_fn=lie server.num_malicious Finally, to run multiple custom experiments: ```bash -python -m flanders.main --multirun dataset=income,mnist,house,cifar server.attack_fn=gaussian,lie,fang,minmax server.num_malicious=0,1,2,3,4,5 +python -m flanders.main --multirun dataset=mnist,fmnist server.attack_fn=gaussian,lie,fang,minmax server.num_malicious=0,1,2,3,4,5 ``` @@ -103,7 +105,7 @@ python -m flanders.main --multirun dataset=income,mnist,house,cifar server.attac By running; ```bash -python -m flanders.main --multirun dataset=income,mnist server.attack_fn=gaussian,lie,fang,minmax server.num_malicious=0,1,2,3,4,5,6,7,8,9 +python -m flanders.main --multirun dataset=mnist,fmnist server.attack_fn=gaussian,lie,fang,minmax server.num_malicious=0,1,2,3,4,5,6,7,8,9 ``` It will generate the results in `results/all_results.csv`. To generate the plots, use the notebook in `plotting/plots.ipynb`. From 9e32b03b7a582cd01ec0dfbb1f5ee03ce324ebad Mon Sep 17 00:00:00 2001 From: edogab33 Date: Fri, 7 Jun 2024 16:45:52 +0200 Subject: [PATCH 70/91] Remove old files --- .../flanders/outputs/all_results_original.csv | 3724 ----------------- baselines/flanders/plotting/plots.ipynb | 636 --- 2 files changed, 4360 deletions(-) delete mode 100644 baselines/flanders/outputs/all_results_original.csv delete mode 100644 baselines/flanders/plotting/plots.ipynb diff --git a/baselines/flanders/outputs/all_results_original.csv b/baselines/flanders/outputs/all_results_original.csv deleted file mode 100644 index 946fb8c36b5d..000000000000 --- a/baselines/flanders/outputs/all_results_original.csv +++ /dev/null @@ -1,3724 +0,0 @@ -num_malicious,attack_fn,dataset_name,round,auc,accuracy,loss -0,,income,0,0.5,0.7537878787878788,0.6931471805599453 -0,,income,1,0.7682958253649548,0.803951678951679,0.4787399634104676 -0,,income,2,0.7149667537552911,0.7924856674856675,0.4952054849511216 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-9,,mnist,50,0.8967584596327782,0.8154,193.52280868589878 \ No newline at end of file diff --git a/baselines/flanders/plotting/plots.ipynb b/baselines/flanders/plotting/plots.ipynb deleted file mode 100644 index 6c2c5e0472fb..000000000000 --- a/baselines/flanders/plotting/plots.ipynb +++ /dev/null @@ -1,636 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 166, - "metadata": {}, - "outputs": [], - "source": [ - "# import libraries\n", - "import numpy as np\n", - "import pandas as pd\n", - "import seaborn as sns\n", - "\n", - "from matplotlib import pyplot as plt" - ] - }, - { - "cell_type": "code", - "execution_count": 182, - "metadata": {}, - "outputs": [], - "source": [ - "def trim_attack_fn(df):\n", - " \"\"\"In column \"attack_fn\" of dataframe df, remove all\n", - " superfluous characters from the attack name, leaving only\n", - " the attack name itself.\n", - " \"\"\"\n", - " names = [\"gaussian_attack\", \"lie_attack\", \"fang_attack\", \"minmax_attack\"]\n", - " # remove superfluous characters from attack names in df\n", - " for name in names:\n", - " df.loc[df[\"attack_fn\"].str.contains(name), \"attack_fn\"] = name\n", - " names = {\"gaussian_attack\": \"GAUSS\", \"lie_attack\": \"LIE\", \"fang_attack\": \"OPT\", \"minmax_attack\": \"AGR-MM\"}\n", - " # rename attack names in df\n", - " for name in names:\n", - " df.loc[df[\"attack_fn\"].str.contains(name), \"attack_fn\"] = names[name]\n", - " return df\n", - "\n", - "def dataset_name_cleaner(df):\n", - " names = {\"mnist\": \"MNIST\", \"cifar\": \"CIFAR-10\", \"income\": \"Income\", \"house\": \"California Housing\"}\n", - " for name in names:\n", - " df.loc[df[\"dataset_name\"].str.contains(name), \"dataset_name\"] = names[name]\n", - " return df\n", - "\n", - "def get_max_acc(df, L=30):\n", - " \"\"\"Return the maximum accuracy achieved in each experiment after L rounds (i.e. bootstrap rounds).\n", - " \"\"\"\n", - " df = df.loc[df[\"round\"] == L]\n", - " max_acc = df.sort_values(by='accuracy', ascending=False).groupby(['dataset_name', 'attack_fn', 'num_malicious']).first().reset_index()\n", - " return max_acc\n", - "\n", - "def add_missing_no_attacks(df):\n", - " \"\"\"To save time, I didn't run experiments with num_malicious = 0\n", - " for all datasets. This function adds those missing rows to the\n", - " dataframe.\n", - " \"\"\"\n", - " df_lie = df.loc[df[\"num_malicious\"] == 0].assign(attack_fn=\"LIE\", ignore_index=True)\n", - " df_opt = df.loc[df[\"num_malicious\"] == 0].assign(attack_fn=\"OPT\", ignore_index=True)\n", - " df_agr = df.loc[df[\"num_malicious\"] == 0].assign(attack_fn=\"AGR-MM\", ignore_index=True)\n", - " df = pd.concat([df, df_lie, df_opt, df_agr], ignore_index=True)\n", - " return df\n", - "\n", - "def compute_mape(x):\n", - " \"\"\"Flip MAPE values (i.e. 1 - MAPE) for the sake of representation.\n", - " \"\"\"\n", - " if x['dataset_name'] == 'California Housing':\n", - " return 1 - x['auc']\n", - " return x['auc']" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Maximum Accuracy" - ] - }, - { - "cell_type": "code", - "execution_count": 263, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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dataset_nameattack_fnnum_maliciousroundaucaccuracylossignore_index
0IncomeAGR-MM2300.7377020.7959660.487117NaN
1IncomeAGR-MM3300.6989630.7860360.507417NaN
2IncomeAGR-MM4300.7583520.7941240.480669NaN
3IncomeAGR-MM5300.7288330.7765150.499840NaN
4IncomeAGR-MM6300.7895400.8016990.473770NaN
...........................
74MNISTLIE0300.9694220.94550061.264663True
75IncomeOPT0300.7551960.7932020.489739True
76MNISTOPT0300.9694220.94550061.264663True
77IncomeAGR-MM0300.7551960.7932020.489739True
78MNISTAGR-MM0300.9694220.94550061.264663True
\n", - "

79 rows × 8 columns

\n", - "
" - ], - "text/plain": [ - " dataset_name attack_fn num_malicious round auc accuracy \\\n", - "0 Income AGR-MM 2 30 0.737702 0.795966 \n", - "1 Income AGR-MM 3 30 0.698963 0.786036 \n", - "2 Income AGR-MM 4 30 0.758352 0.794124 \n", - "3 Income AGR-MM 5 30 0.728833 0.776515 \n", - "4 Income AGR-MM 6 30 0.789540 0.801699 \n", - ".. ... ... ... ... ... ... \n", - "74 MNIST LIE 0 30 0.969422 0.945500 \n", - "75 Income OPT 0 30 0.755196 0.793202 \n", - "76 MNIST OPT 0 30 0.969422 0.945500 \n", - "77 Income AGR-MM 0 30 0.755196 0.793202 \n", - "78 MNIST AGR-MM 0 30 0.969422 0.945500 \n", - "\n", - " loss ignore_index \n", - "0 0.487117 NaN \n", - "1 0.507417 NaN \n", - "2 0.480669 NaN \n", - "3 0.499840 NaN \n", - "4 0.473770 NaN \n", - ".. ... ... \n", - "74 61.264663 True \n", - "75 0.489739 True \n", - "76 61.264663 True \n", - "77 0.489739 True \n", - "78 61.264663 True \n", - "\n", - "[79 rows x 8 columns]" - ] - }, - "execution_count": 263, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df = pd.read_csv('../outputs/all_results_original.csv')\n", - "\n", - "df = trim_attack_fn(df)\n", - "df = dataset_name_cleaner(df)\n", - "df = get_max_acc(df)\n", - "df = add_missing_no_attacks(df)\n", - "df" - ] - }, - { - "cell_type": "code", - "execution_count": 264, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Global settings\n", - "sns.set_theme()\n", - "sns.set_context(\"paper\", font_scale=1.5)\n", - "\n", - "dataset_names = [\"Income\", \"MNIST\"]\n", - "attack_names = [\"GAUSS\", \"LIE\", \"OPT\", \"AGR-MM\"]\n", - "\n", - "fig, axes = plt.subplots(1, 2, sharex=False, sharey=False, figsize=(30, 5))\n", - "\n", - "for i in range(len(dataset_names)):\n", - " p = df.loc[df.dataset_name == dataset_names[i]]\n", - " ax = sns.lineplot(data=p, x='num_malicious', y='accuracy', hue=\"attack_fn\", ax=axes[i], \n", - " style=\"attack_fn\", markers=True, dashes=False, lw=2, markersize=12)\n", - " \n", - " _ = ax.tick_params(axis='both', which='major', labelsize=16)\n", - " _ = ax.set_xlim([0,9])\n", - " _ = ax.set_ylim([0,1])\n", - "\n", - " if i == 1:\n", - " handles, lables = ax.get_legend_handles_labels()\n", - " for h in handles:\n", - " h.set_markersize(12)\n", - " h.set_linewidth(2)\n", - "\n", - " # replace legend using handles and labels from above\n", - " _ = ax.legend(handles,\n", - " attack_names, \n", - " title=\"Attacks\",\n", - " title_fontsize=20,\n", - " fontsize=18, \n", - " loc='upper center', \n", - " bbox_to_anchor=(-0.25, 1.45), \n", - " ncol=4, \n", - " fancybox=True, \n", - " shadow=True)\n", - " else:\n", - " _ = ax.get_legend().remove() \n", - "\n", - "_ = axes[0].set_ylabel('Accuracy', labelpad=14, fontsize=18)\n", - "_ = axes[1].set_ylabel('Accuracy', labelpad=14, fontsize=18)\n", - "_ = axes[0].set_xlabel('Byzantine Clients (%)', labelpad=14, fontsize=18)\n", - "_ = axes[1].set_xlabel('Byzantine Clients (%)', labelpad=14, fontsize=18)\n", - "\n", - "plt.figtext(0.28,1, \"Income\", ha=\"center\", va=\"top\", fontsize=24)\n", - "plt.figtext(0.75,1, \"MNIST\", ha=\"center\", va=\"top\", fontsize=24)\n", - "\n", - "plt.subplots_adjust(wspace=0.5)\n", - "\n", - "plt.savefig('../_static/max_acc.jpg', bbox_inches='tight')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Box Plots" - ] - }, - { - "cell_type": "code", - "execution_count": 270, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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num_maliciousattack_fndataset_nameroundaucaccuracylossignore_index
00GAUSSIncome00.5000000.7537880.693147NaN
10GAUSSIncome10.7682960.8039520.478740NaN
20GAUSSIncome20.7149670.7924860.495205NaN
30GAUSSIncome30.7273290.7923830.491356NaN
40GAUSSIncome40.6933390.7938170.504776NaN
...........................
40240AGR-MMMNIST460.9594860.928900121.274065True
40250AGR-MMMNIST470.9631260.934700111.445393True
40260AGR-MMMNIST480.9644100.937500105.190672True
40270AGR-MMMNIST490.9681210.94290094.859190True
40280AGR-MMMNIST500.9724120.95080086.187453True
\n", - "

4029 rows × 8 columns

\n", - "
" - ], - "text/plain": [ - " num_malicious attack_fn dataset_name round auc accuracy \\\n", - "0 0 GAUSS Income 0 0.500000 0.753788 \n", - "1 0 GAUSS Income 1 0.768296 0.803952 \n", - "2 0 GAUSS Income 2 0.714967 0.792486 \n", - "3 0 GAUSS Income 3 0.727329 0.792383 \n", - "4 0 GAUSS Income 4 0.693339 0.793817 \n", - "... ... ... ... ... ... ... \n", - "4024 0 AGR-MM MNIST 46 0.959486 0.928900 \n", - "4025 0 AGR-MM MNIST 47 0.963126 0.934700 \n", - "4026 0 AGR-MM MNIST 48 0.964410 0.937500 \n", - "4027 0 AGR-MM MNIST 49 0.968121 0.942900 \n", - "4028 0 AGR-MM MNIST 50 0.972412 0.950800 \n", - "\n", - " loss ignore_index \n", - "0 0.693147 NaN \n", - "1 0.478740 NaN \n", - "2 0.495205 NaN \n", - "3 0.491356 NaN \n", - "4 0.504776 NaN \n", - "... ... ... \n", - "4024 121.274065 True \n", - "4025 111.445393 True \n", - "4026 105.190672 True \n", - "4027 94.859190 True \n", - "4028 86.187453 True \n", - "\n", - "[4029 rows x 8 columns]" - ] - }, - "execution_count": 270, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df = pd.read_csv('../outputs/all_results_original.csv')\n", - "\n", - "df = trim_attack_fn(df)\n", - "df = dataset_name_cleaner(df)\n", - "df = add_missing_no_attacks(df)\n", - "\n", - "df" - ] - }, - { - "cell_type": "code", - "execution_count": 271, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "dataset_names = [\"Income\", \"MNIST\"]\n", - "\n", - "\n", - "for _, dataset in enumerate(dataset_names):\n", - " dfl = df.loc[df.dataset_name == dataset]\n", - " # only consider the rounds where the attack takes place\n", - " dfd = dfl.loc[dfl[\"round\"] >= 30]\n", - " name = y = 'accuracy'\n", - "\n", - " sns.set_style('darkgrid')\n", - " plt.figure(figsize=(14, 4), dpi=70)\n", - " plt.gcf().suptitle(dataset, fontsize=\"x-large\")\n", - "\n", - " ax = sns.boxplot(data=dfd, x=\"attack_fn\", y=y, fliersize=0)\n", - " # set labels\n", - " ax.set_xlabel(\"Attack\", fontsize=\"large\")\n", - " plt.savefig(f\"../_static/boxplot_{dataset}.jpg\", bbox_inches='tight')" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "flwr-9UXVJBh8-py3.12", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.16" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} From 9d683104145da4a35f1db2aef5025adf6d0dad3c Mon Sep 17 00:00:00 2001 From: edogab33 Date: Fri, 7 Jun 2024 16:48:31 +0200 Subject: [PATCH 71/91] Update README --- baselines/flanders/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/baselines/flanders/README.md b/baselines/flanders/README.md index a0b7d73d8777..7c38199474ee 100644 --- a/baselines/flanders/README.md +++ b/baselines/flanders/README.md @@ -19,7 +19,7 @@ dataset: [MNIST, Income, CIFAR-10, California Housing] **Hardware Setup:** AMD Ryzen 9, 64 GB RAM, and an NVIDIA 4090 GPU with 24 GB VRAM. -**Estimated time to run:** You can expect to run experiments on the given setup in 2m with MNIST and 1h30m with Fashion-MNIST. With an Apple M2 Pro, 16gb RAM; each experiment with 10 clients for **MNIST** runs in about 24 minutes. Note that experiments with OPT (fang) and AGR-MM (minmax) can be 10x slower. +**Estimated time to run:** You can expect to run experiments on the given setup in 2m with *MNIST* and 1h30m with *Fashion-MNIST*. With an Apple M2 Pro, 16gb RAM; each experiment with 10 clients for MNIST runs in about 24 minutes. Note that experiments with OPT (fang) and AGR-MM (minmax) can be 10x slower. **Contributors:** Edoardo Gabrielli, Sapienza University of Rome ([GitHub](https://github.com/edogab33), [Scholar](https://scholar.google.com/citations?user=b3bePdYAAAAJ)) From 1d77d31cbae6d8ad50b5ae6858863c54f1caa2a0 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Sun, 9 Jun 2024 11:39:22 +0200 Subject: [PATCH 72/91] Remove dnc --- .../flanders/conf/aggregate_fn/dnc.yaml | 8 - .../flanders/flanders/conf/strategy/dnc.yaml | 8 - .../flanders/flanders/strategies/aggregate.py | 67 -------- baselines/flanders/flanders/strategies/dnc.py | 150 ------------------ 4 files changed, 233 deletions(-) delete mode 100644 baselines/flanders/flanders/conf/aggregate_fn/dnc.yaml delete mode 100644 baselines/flanders/flanders/conf/strategy/dnc.yaml delete mode 100644 baselines/flanders/flanders/strategies/aggregate.py delete mode 100644 baselines/flanders/flanders/strategies/dnc.py diff --git a/baselines/flanders/flanders/conf/aggregate_fn/dnc.yaml b/baselines/flanders/flanders/conf/aggregate_fn/dnc.yaml deleted file mode 100644 index 009539bb90b5..000000000000 --- a/baselines/flanders/flanders/conf/aggregate_fn/dnc.yaml +++ /dev/null @@ -1,8 +0,0 @@ ---- -name: dnc - -aggregate_fn: - function: flanders.strategies.aggregate.aggregate_dnc - parameters: - niters: 1 - c: 1 \ No newline at end of file diff --git a/baselines/flanders/flanders/conf/strategy/dnc.yaml b/baselines/flanders/flanders/conf/strategy/dnc.yaml deleted file mode 100644 index 3f185193a9ec..000000000000 --- a/baselines/flanders/flanders/conf/strategy/dnc.yaml +++ /dev/null @@ -1,8 +0,0 @@ ---- -name: dnc - -strategy: - _target_: flanders.strategies.dnc.DnC - num_malicious_clients: $(server.num_malicious) - niters: 5 - c: 1 \ No newline at end of file diff --git a/baselines/flanders/flanders/strategies/aggregate.py b/baselines/flanders/flanders/strategies/aggregate.py deleted file mode 100644 index 921b3f276d1f..000000000000 --- a/baselines/flanders/flanders/strategies/aggregate.py +++ /dev/null @@ -1,67 +0,0 @@ -"""Additional aggregation functions used as baselines against FLANDERS.""" - -from functools import reduce -from typing import List, Tuple - -import numpy as np -from flwr.common import NDArrays -from flwr.server.strategy.aggregate import aggregate - -from ..utils import flatten_params - - -def aggregate_dnc( - results: List[Tuple[NDArrays, int]], c: float, niters: int, num_malicious: int -) -> NDArrays: - """Aggregate fit results using DnC. - - Steps: - 1. Sample models - 2. Dimension-wise mean of parameters (mu) - 3. Compute the centered update (that is, model_i - mu -> model_c) - 4. SVD on model_c - 5. Compute outlier score - 6. Filter "bad" models. - - Parameters - ---------- - results : List[Tuple[NDArrays, int]] - The list of results from the clients. - c : float - The filtering fraction. - niters : int - The number of iterations. - num_malicious : int - The number of malicious clients. - - Returns - ------- - NDArrays - The aggregated parameters. - """ - num_clients = len(results) - flattened_params = [flatten_params(params) for params, _ in results] - I_good = [] - for _ in range(niters): - mu: NDArrays = [ - reduce(np.add, layer_updates) / len(flattened_params) - for layer_updates in zip(*flattened_params) - ] - - model_c = [] - for idx in range(len(flattened_params)): - model_c.append(np.array(flattened_params[idx]) - np.array(mu)) - _, _, v = np.linalg.svd(model_c, full_matrices=False) - s = [np.inner(model_i, v[0, :]) ** 2 for model_i in flattened_params] - - # save in I the num_clients - c * num_malicious smallestvalues from s - # and return the indices of the smallest values - to_keep = int(num_clients - c * num_malicious) - I_set = np.argsort(np.array(s))[:to_keep] - I_good.append(set(I_set.tolist())) - - I_final = list(set.intersection(*I_good)) - # Keep only the good models indicated by I_final in results - res = [results[i] for i in I_final] - aggregated_params = aggregate(res) - return aggregated_params diff --git a/baselines/flanders/flanders/strategies/dnc.py b/baselines/flanders/flanders/strategies/dnc.py deleted file mode 100644 index e4d7681049d0..000000000000 --- a/baselines/flanders/flanders/strategies/dnc.py +++ /dev/null @@ -1,150 +0,0 @@ -"""DnC (Divide-and-Conquer) strategy implementation by Virat Shejwalkar et al. - -https://www.ndss-symposium.org/wp-content/uploads/ndss2021_6C-3_24498_paper.pdf -""" - -import typing -from logging import WARNING -from typing import Callable, Dict, List, Optional, Tuple, Union - -from flwr.common import ( - FitIns, - FitRes, - MetricsAggregationFn, - NDArrays, - Parameters, - Scalar, - parameters_to_ndarrays, -) -from flwr.common.logger import log -from flwr.server.client_manager import ClientManager -from flwr.server.client_proxy import ClientProxy -from flwr.server.strategy.fedavg import FedAvg - -from .aggregate import aggregate_dnc - -WARNING_MIN_AVAILABLE_CLIENTS_TOO_LOW = """ -Setting `min_available_clients` lower than `min_fit_clients` or -`min_evaluate_clients` can cause the server to fail when there are too few clients -connected to the server. `min_available_clients` must be set to a value larger -than or equal to the values of `min_fit_clients` and `min_evaluate_clients`. -""" - - -class DnC(FedAvg): - """DnC (Divide-and-Conquer) strategy implementation. - - https://www.ndss-symposium.org/wp-content/uploads/ndss2021_6C-3_24498_paper.pdf - """ - - # pylint: disable=too-many-arguments,too-many-instance-attributes - def __init__( - self, - *, - fraction_fit: float = 1.0, - fraction_evaluate: float = 1.0, - num_malicious_clients: int = 0, - min_fit_clients: int = 2, - min_evaluate_clients: int = 2, - min_available_clients: int = 2, - c: float = 1.0, - niters: int = 1, - evaluate_fn: Optional[ - Callable[ - [int, NDArrays, Dict[str, Scalar]], - Optional[Tuple[float, Dict[str, Scalar]]], - ] - ] = None, - on_fit_config_fn: Optional[Callable[[int], Dict[str, Scalar]]] = None, - on_evaluate_config_fn: Optional[Callable[[int], Dict[str, Scalar]]] = None, - accept_failures: bool = True, - initial_parameters: Optional[Parameters] = None, - fit_metrics_aggregation_fn: Optional[MetricsAggregationFn] = None, - evaluate_metrics_aggregation_fn: Optional[MetricsAggregationFn] = None, - ) -> None: - """Construct a new DnC strategy. - - Parameters - ---------- - fraction_malicious : float, otional - Fraction of malicious clients. Defaults to 0. - """ - super().__init__( - fraction_fit=fraction_fit, - fraction_evaluate=fraction_evaluate, - min_fit_clients=min_fit_clients, - min_evaluate_clients=min_evaluate_clients, - min_available_clients=min_available_clients, - evaluate_fn=evaluate_fn, - on_fit_config_fn=on_fit_config_fn, - on_evaluate_config_fn=on_evaluate_config_fn, - accept_failures=accept_failures, - initial_parameters=initial_parameters, - fit_metrics_aggregation_fn=fit_metrics_aggregation_fn, - evaluate_metrics_aggregation_fn=evaluate_metrics_aggregation_fn, - ) - self.num_malicious_clients = num_malicious_clients - self.c = c - self.niters = niters - - @typing.no_type_check - def configure_fit( - self, server_round: int, parameters: Parameters, client_manager: ClientManager - ) -> List[Tuple[ClientProxy, FitIns]]: - """Configure the next round of training.""" - # Sample clients - sample_size, min_num_clients = self.num_fit_clients( - client_manager.num_available() - ) - - # Custom FitIns object for each client - fit_ins_list = [ - FitIns( - parameters, - ( - {} - if not self.on_fit_config_fn - else self.on_fit_config_fn(server_round) - ), - ) - for _ in range(sample_size) - ] - - clients = client_manager.sample( - num_clients=sample_size, min_num_clients=min_num_clients - ) - - # Return client/config pairs - result = [] - for client, fit in zip(clients, fit_ins_list): - result.append((client, fit)) - return result - - @typing.no_type_check - def aggregate_fit( - self, - server_round: int, - results: List[Tuple[ClientProxy, FitRes]], - failures: List[Union[Tuple[ClientProxy, FitRes], BaseException]], - ) -> Tuple[Optional[Parameters], Dict[str, Scalar]]: - """Aggregate fit results using DnC.""" - weights_results = [ - (parameters_to_ndarrays(fit_res.parameters), fit_res.num_examples) - for _, fit_res in results - ] - parameters_aggregated = aggregate_dnc( - weights_results, self.c, self.niters, len(results) - ) - parameters_aggregated, metrics_aggregated = super().aggregate_fit( - server_round, results, failures - ) - - # Aggregate custom metrics if aggregation fn was provided - metrics_aggregated = {} - if self.fit_metrics_aggregation_fn: - fit_metrics = [(res.num_examples, res.metrics) for _, res in results] - metrics_aggregated = self.fit_metrics_aggregation_fn(fit_metrics) - elif server_round == 1: # Only log this warning once - log(WARNING, "No fit_metrics_aggregation_fn provided") - - return parameters_aggregated, metrics_aggregated From 25da815ae98d73d405bda8657ca71e9e4f09c572 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Sun, 9 Jun 2024 11:39:31 +0200 Subject: [PATCH 73/91] Update README --- baselines/flanders/README.md | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/baselines/flanders/README.md b/baselines/flanders/README.md index 7c38199474ee..d358a4cb0b0d 100644 --- a/baselines/flanders/README.md +++ b/baselines/flanders/README.md @@ -19,16 +19,18 @@ dataset: [MNIST, Income, CIFAR-10, California Housing] **Hardware Setup:** AMD Ryzen 9, 64 GB RAM, and an NVIDIA 4090 GPU with 24 GB VRAM. -**Estimated time to run:** You can expect to run experiments on the given setup in 2m with *MNIST* and 1h30m with *Fashion-MNIST*. With an Apple M2 Pro, 16gb RAM; each experiment with 10 clients for MNIST runs in about 24 minutes. Note that experiments with OPT (fang) and AGR-MM (minmax) can be 10x slower. +**Estimated time to run:** You can expect to run experiments on the given setup in 2m with *MNIST* and 3m with *Fashion-MNIST*, without attacks. With an Apple M2 Pro, 16gb RAM; each experiment with 10 clients for MNIST runs in about 24 minutes. Note that experiments with OPT (fang) and AGR-MM (minmax) can be up to 10x times slower. **Contributors:** Edoardo Gabrielli, Sapienza University of Rome ([GitHub](https://github.com/edogab33), [Scholar](https://scholar.google.com/citations?user=b3bePdYAAAAJ)) ## Experimental Setup +Please, checkout Appendix F and G of the paper for a comprehensive overview of the hyperparameters setup, however here's a summary. + **Task:** Image classification -**Models:** Appendix F and G of the paper describes the models, but here's a summary. +**Models:** MNIST (multilabel classification, fully connected, feed forward NN): - Multilevel Perceptron (MLP) @@ -45,7 +47,7 @@ Fashion-MNIST (multilabel classification, fully connected, feed forward NN): - hidden layer 2: 128 - hidden layer 3: 64 -**Dataset:** Every dataset is partitioned into two disjoint sets: 80% for training and 20% for testing. The training set is distributed uniformly across all clients (100), while the testing set is held by the server to evaluate the global model. +**Dataset:** Every dataset is partitioned into two disjoint sets: 80% for training and 20% for testing. The training set is distributed across all clients (100) by using the Dirichlet distribution with $\alpha=0.5$, simulating a high non-i.i.d. scenario, while the testing set is uniform and held by the server to evaluate the global model. | Description | Default Value | | ----------- | ----- | @@ -53,6 +55,8 @@ Fashion-MNIST (multilabel classification, fully connected, feed forward NN): | Evaluation | centralized | | Training set | 80% | | Testing set | 20% | +| Distribution | Dirichlet | +| $\alpha$ | 0.5 | **Training Hyperparameters:** From e8111f0f75c8ec8f882a1d85278caac24d4c35f5 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Sun, 9 Jun 2024 11:39:54 +0200 Subject: [PATCH 74/91] Remove dnc --- baselines/flanders/flanders/main.py | 14 -------------- 1 file changed, 14 deletions(-) diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 3f753c7fcbe5..0ff78bbe1f2b 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -152,20 +152,6 @@ def client_fn(cid: str, dataset_name: str = dataset_name): min_available_clients=cfg.server.pool_size, num_malicious_clients=num_malicious, ) - elif cfg.strategy.name == "dnc": - strategy = instantiate( - cfg.strategy.strategy, - evaluate_fn=clients[dataset_name][1], - on_fit_config_fn=fit_config, - fraction_fit=1, - fraction_evaluate=0, - min_fit_clients=cfg.server.pool_size, - min_evaluate_clients=0, - min_available_clients=cfg.server.pool_size, - c=cfg.strategy.strategy.c, - niters=cfg.strategy.strategy.niters, - num_malicious_clients=num_malicious, - ) elif cfg.strategy.name == "fedavg": strategy = instantiate( cfg.strategy.strategy, From d73791688ccd276f7f8b9eb620d7f804a72acb7b Mon Sep 17 00:00:00 2001 From: edogab33 Date: Mon, 10 Jun 2024 10:54:29 +0200 Subject: [PATCH 75/91] Update notebook --- baselines/flanders/plotting/FLANDERS_results.ipynb | 1 + 1 file changed, 1 insertion(+) create mode 100644 baselines/flanders/plotting/FLANDERS_results.ipynb diff --git a/baselines/flanders/plotting/FLANDERS_results.ipynb b/baselines/flanders/plotting/FLANDERS_results.ipynb new file mode 100644 index 000000000000..4bfd4d8270dd --- /dev/null +++ b/baselines/flanders/plotting/FLANDERS_results.ipynb @@ -0,0 +1 @@ +{"cells":[{"cell_type":"markdown","metadata":{"id":"Cg37xeuu7Xy5"},"source":["# Preliminaries"]},{"cell_type":"code","execution_count":1,"metadata":{"id":"J_Dh3sGVyb2w"},"outputs":[],"source":["import pandas as pd\n","from natsort import natsorted\n","import matplotlib.pyplot as plt"]},{"cell_type":"code","execution_count":2,"metadata":{"id":"FjlCyr_B8OdT"},"outputs":[],"source":["results_dir = \"../outputs/\""]},{"cell_type":"markdown","metadata":{"id":"VX2oCpZf7Z7y"},"source":["# Prepare data"]},{"cell_type":"markdown","metadata":{"id":"P_3Z05w0wvNB"},"source":["## Utils"]},{"cell_type":"code","execution_count":3,"metadata":{"id":"fZSDCuT497HV"},"outputs":[],"source":["def print_unique_data(results_df):\n"," for col in [\"attack_fn\", \"num_malicious\", \"dataset_name\", \"strategy\", \"aggregate_fn\"]:\n"," print(f\"Unique values in {col}: {results_df[col].unique()}\")"]},{"cell_type":"code","execution_count":4,"metadata":{"id":"8GcIZNuu8q5Y"},"outputs":[],"source":["def translate_cols(df, attack_dict, dataset_dict, strategy_dict, aggregate_dict):\n"," column_names = [\"attack_fn\", \"dataset_name\", \"strategy\", \"aggregate_fn\"]\n"," for idx, d in enumerate([attack_dict, dataset_dict, strategy_dict, aggregate_dict]):\n"," df[column_names[idx]] = df[column_names[idx]].replace(d)\n"," return df"]},{"cell_type":"code","execution_count":5,"metadata":{"id":"oHcF2pl8sdOG"},"outputs":[],"source":["attack_dict = {\n"," \"gaussian\": \"GAUSS\",\n"," \"lie\": \"LIE\",\n"," \"fang\": \"OPT\",\n"," \"minmax\": \"AGR-MM\",\n"," \"adaptive\": \"MAR-ATK\"\n","}\n","\n","dataset_dict = {\n"," \"mnist\": \"MNIST\",\n"," \"fmnist\": \"FMNIST\",\n"," \"cifar\": \"CIFAR-10\",\n"," \"cifar100\": \"CIFAR-100\"\n","}\n","\n","strategy_dict = {\n"," \"flanders\": \"FLANDERS\",\n"," \"fedavg\": \"FedAvg\",\n"," \"fedmedian\": \"FedMedian\",\n"," \"trimmedmean\": \"TrimmedMean\",\n"," \"bulyan\": \"Bulyan\",\n"," \"krum\": \"MultiKrum\",\n"," \"fldetector\": \"FLDetector\"\n","}\n","\n","aggregate_dict = {\n"," \"flwr.server.strategy.aggregate.aggregate\": \"FedAvg\",\n"," \"flwr.server.strategy.aggregate.aggregate_median\": \"FedMedian\",\n"," \"flwr.server.strategy.aggregate.aggregate_trimmed_avg\": \"TrimmedMean\",\n"," \"flwr.server.strategy.aggregate.aggregate_bulyan\": \"Bulyan\",\n"," \"flwr.server.strategy.aggregate.aggregate_krum\": \"MultiKrum\"\n","}"]},{"cell_type":"markdown","metadata":{"id":"y0XCCkuhwydB"},"source":["## MNIST"]},{"cell_type":"markdown","metadata":{"id":"NG2-2cpnyjkY"},"source":["### Use this shortcut"]},{"cell_type":"code","execution_count":6,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":244,"status":"ok","timestamp":1716376729975,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"lY85nEb6yrXu","outputId":"5439a3bc-684f-492f-b615-53e2252cd94c"},"outputs":[{"data":{"text/html":["
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00720.8331210.10450.5034220000GAUSSMNIST0FLANDERSFedAvg
11664.5222520.20890.5631160000GAUSSMNIST0FLANDERSFedAvg
22624.6338260.35600.6447310000GAUSSMNIST0FLANDERSFedAvg
33581.4764720.47730.710941010000GAUSSMNIST0FLANDERSFedAvg
44545.1142050.54300.746970020000GAUSSMNIST0FLANDERSFedAvg
..........................................
356546724.2817250.10250.5004790000AGR-MMMNIST80dncFedAvg
356647724.3501380.10240.5004210000AGR-MMMNIST80dncFedAvg
356748724.5352630.10250.5004790000AGR-MMMNIST80dncFedAvg
356849724.5888810.10280.5005980000AGR-MMMNIST80dncFedAvg
356950724.7838510.10280.5006020000AGR-MMMNIST80dncFedAvg
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7548 rows × 13 columns

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"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 720.833121 0.1045 0.503422 0 0 0 0 GAUSS \n","1 1 664.522252 0.2089 0.563116 0 0 0 0 GAUSS \n","2 2 624.633826 0.3560 0.644731 0 0 0 0 GAUSS \n","3 3 581.476472 0.4773 0.710941 0 100 0 0 GAUSS \n","4 4 545.114205 0.5430 0.746970 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 724.281725 0.1025 0.500479 0 0 0 0 AGR-MM \n","3566 47 724.350138 0.1024 0.500421 0 0 0 0 AGR-MM \n","3567 48 724.535263 0.1025 0.500479 0 0 0 0 AGR-MM \n","3568 49 724.588881 0.1028 0.500598 0 0 0 0 AGR-MM \n","3569 50 724.783851 0.1028 0.500602 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 MNIST 0 FLANDERS FedAvg \n","1 MNIST 0 FLANDERS FedAvg \n","2 MNIST 0 FLANDERS FedAvg \n","3 MNIST 0 FLANDERS FedAvg \n","4 MNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 MNIST 80 dnc FedAvg \n","3566 MNIST 80 dnc FedAvg \n","3567 MNIST 80 dnc FedAvg \n","3568 MNIST 80 dnc FedAvg \n","3569 MNIST 80 dnc FedAvg \n","\n","[7548 rows x 13 columns]"]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["# CSV pre-processing MNIST\n","results_flanders_file = results_dir + \"all_results_mnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_mnist_no_flanders.csv\"\n","results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)\n","results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","mnist_df = pd.concat([results_flanders_df, results_no_flanders_df])\n","mnist_df"]},{"cell_type":"code","execution_count":17,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":9,"status":"ok","timestamp":1716115669854,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"hg3ysnqiNrms","outputId":"bae8ab71-ce7b-409a-b154-6ad42f9dfc3b"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n"]}],"source":["print_unique_data(mnist_df)"]},{"cell_type":"markdown","metadata":{"id":"dE_uqUeuyl6M"},"source":["### Step-by-step processing"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"R9Cpe8bF8a2z"},"outputs":[],"source":["results_flanders_file = results_dir + \"all_results_mnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_mnist_no_flanders.csv\""]},{"cell_type":"code","execution_count":null,"metadata":{"id":"8nPsIraZ7nJK"},"outputs":[],"source":["results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1707513800371,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"oC_C6WVMshle","outputId":"20708ffb-24d9-4d94-fc83-6ab93c8d4ed0"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['mnist']\n","Unique values in strategy: ['flanders']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate'\n"," 'flwr.server.strategy.aggregate.aggregate_trimmed_avg'\n"," 'flwr.server.strategy.aggregate.aggregate_median'\n"," 'flwr.server.strategy.aggregate.aggregate_bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc'\n"," 'flwr.server.strategy.aggregate.aggregate_krum']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":423,"status":"ok","timestamp":1707478795736,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"2xSStl9-52cc","outputId":"391a3d7c-c4b5-486c-85a2-97d9a5ddb30d"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 40 60 80]\n","Unique values in dataset_name: ['mnist']\n","Unique values in strategy: ['fedavg' 'trimmedmean' 'fedmedian' 'bulyan' 'dnc' 'krum']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"8dEepZY28raZ"},"source":["Translate strings"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"zNPGc6YJ7E_J"},"outputs":[],"source":["results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"AQaNnF1K7TQc"},"outputs":[],"source":["results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":393,"status":"ok","timestamp":1707478246670,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"MXYnAzh8V-9t","outputId":"8f09ab5c-cd3e-4627-9f76-5f474ec09227"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FLANDERS']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":8,"status":"ok","timestamp":1707472989224,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"7xmPF5X77VQk","outputId":"f8e8331e-cde6-4413-f795-f0fe1a9cdd19"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 40 60 80]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n","Unique values in aggregate_fn: ['FedAvg']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"mjTmoV2M9YTk"},"source":["Concatenate the 2 dataframes, namely FLANDERS+f and baselines:"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"apvpT9Ve8wwv"},"outputs":[],"source":["mnist_df = pd.concat([results_flanders_df, results_no_flanders_df])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":424},"executionInfo":{"elapsed":5,"status":"ok","timestamp":1707513807441,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"aZuW73BW9Iu3","outputId":"3f558906-0d55-4ccd-e64f-5b62203ae746"},"outputs":[{"data":{"text/html":["\n","
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00720.2770980.10850.5048670000GAUSSMNIST0FLANDERSFedAvg
11675.0509400.45480.6994830000GAUSSMNIST0FLANDERSFedAvg
22647.6366430.52110.7358450000GAUSSMNIST0FLANDERSFedAvg
33614.4347950.56950.761650010000GAUSSMNIST0FLANDERSFedAvg
44584.1685070.60690.781741020000GAUSSMNIST0FLANDERSFedAvg
..........................................
397346292.8117450.74960.8612950000AGR-MMMNIST20MultiKrumFedAvg
397447289.7818840.75920.8668850000AGR-MMMNIST20MultiKrumFedAvg
397548287.8744360.76080.8679520000AGR-MMMNIST20MultiKrumFedAvg
397649288.8327780.74960.8615780000AGR-MMMNIST20MultiKrumFedAvg
397750290.4446540.74350.8580720000AGR-MMMNIST20MultiKrumFedAvg
\n","

8007 rows × 13 columns

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\n"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 720.277098 0.1085 0.504867 0 0 0 0 GAUSS \n","1 1 675.050940 0.4548 0.699483 0 0 0 0 GAUSS \n","2 2 647.636643 0.5211 0.735845 0 0 0 0 GAUSS \n","3 3 614.434795 0.5695 0.761650 0 100 0 0 GAUSS \n","4 4 584.168507 0.6069 0.781741 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3973 46 292.811745 0.7496 0.861295 0 0 0 0 AGR-MM \n","3974 47 289.781884 0.7592 0.866885 0 0 0 0 AGR-MM \n","3975 48 287.874436 0.7608 0.867952 0 0 0 0 AGR-MM \n","3976 49 288.832778 0.7496 0.861578 0 0 0 0 AGR-MM \n","3977 50 290.444654 0.7435 0.858072 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 MNIST 0 FLANDERS FedAvg \n","1 MNIST 0 FLANDERS FedAvg \n","2 MNIST 0 FLANDERS FedAvg \n","3 MNIST 0 FLANDERS FedAvg \n","4 MNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3973 MNIST 20 MultiKrum FedAvg \n","3974 MNIST 20 MultiKrum FedAvg \n","3975 MNIST 20 MultiKrum FedAvg \n","3976 MNIST 20 MultiKrum FedAvg \n","3977 MNIST 20 MultiKrum FedAvg \n","\n","[8007 rows x 13 columns]"]},"execution_count":54,"metadata":{},"output_type":"execute_result"}],"source":["mnist_df"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1707480685917,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"Ub0W-iA69LpR","outputId":"bfbcaf9e-575c-4d02-e9f0-0be7e74accb4"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80 40]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n"]}],"source":["print_unique_data(mnist_df)"]},{"cell_type":"markdown","metadata":{"id":"E3TZ_fJuTVuU"},"source":["## Fashion MNIST"]},{"cell_type":"markdown","metadata":{"id":"45GAIKG9Tmyb"},"source":["### Use this shortcut"]},{"cell_type":"code","execution_count":7,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":327,"status":"ok","timestamp":1716376732776,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"Qju5S7VmTpB_","outputId":"fbe0aed8-164c-4343-9949-e9fa7cc7f0a7"},"outputs":[{"data":{"text/html":["
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
0023082.3338130.06310.4795000000GAUSSFMNIST0FLANDERSFedAvg
1121920.1315610.19770.5542780000GAUSSFMNIST0FLANDERSFedAvg
2217859.0960200.42100.6783330000GAUSSFMNIST0FLANDERSFedAvg
3315559.0449260.49200.717778010000GAUSSFMNIST0FLANDERSFedAvg
4414684.1937220.50010.722278020000GAUSSFMNIST0FLANDERSFedAvg
..........................................
35654623279.5649070.10000.5000000000AGR-MMFMNIST80dncFedAvg
35664723290.9804420.10000.5000000000AGR-MMFMNIST80dncFedAvg
35674823302.2510220.10000.5000000000AGR-MMFMNIST80dncFedAvg
35684923312.5125960.10000.5000000000AGR-MMFMNIST80dncFedAvg
35695023326.1161770.10000.5000000000AGR-MMFMNIST80dncFedAvg
\n","

6884 rows × 13 columns

\n","
"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 23082.333813 0.0631 0.479500 0 0 0 0 GAUSS \n","1 1 21920.131561 0.1977 0.554278 0 0 0 0 GAUSS \n","2 2 17859.096020 0.4210 0.678333 0 0 0 0 GAUSS \n","3 3 15559.044926 0.4920 0.717778 0 100 0 0 GAUSS \n","4 4 14684.193722 0.5001 0.722278 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 23279.564907 0.1000 0.500000 0 0 0 0 AGR-MM \n","3566 47 23290.980442 0.1000 0.500000 0 0 0 0 AGR-MM \n","3567 48 23302.251022 0.1000 0.500000 0 0 0 0 AGR-MM \n","3568 49 23312.512596 0.1000 0.500000 0 0 0 0 AGR-MM \n","3569 50 23326.116177 0.1000 0.500000 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 FMNIST 0 FLANDERS FedAvg \n","1 FMNIST 0 FLANDERS FedAvg \n","2 FMNIST 0 FLANDERS FedAvg \n","3 FMNIST 0 FLANDERS FedAvg \n","4 FMNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 FMNIST 80 dnc FedAvg \n","3566 FMNIST 80 dnc FedAvg \n","3567 FMNIST 80 dnc FedAvg \n","3568 FMNIST 80 dnc FedAvg \n","3569 FMNIST 80 dnc FedAvg \n","\n","[6884 rows x 13 columns]"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["# CSV pre-processing FMNIST\n","results_flanders_file = results_dir + \"all_results_fmnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_fmnist_no_flanders.csv\"\n","results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)\n","results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","fmnist_df = pd.concat([results_flanders_df, results_no_flanders_df])\n","fmnist_df"]},{"cell_type":"code","execution_count":9,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1,"status":"ok","timestamp":1716047458204,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"08YXqMTZNpN6","outputId":"9de6cdc8-241e-4867-cd53-645434b99ce2"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['FMNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'dnc']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan']\n"]}],"source":["print_unique_data(fmnist_df)"]},{"cell_type":"markdown","metadata":{"id":"9vVX6wsxT-rc"},"source":["### Step-by-step processing"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"j0ZnLmVnUBT3"},"outputs":[],"source":["results_flanders_file = results_dir + \"all_results_fmnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_fmnist_no_flanders.csv\""]},{"cell_type":"code","execution_count":null,"metadata":{"id":"qsYaQiAWUBOw"},"outputs":[],"source":["results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":250,"status":"ok","timestamp":1709217712591,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"m1VKWq_jUHyY","outputId":"5bd5b442-4ab4-473d-bc60-b6f5fdc6320d"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['flanders']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate'\n"," 'flwr.server.strategy.aggregate.aggregate_trimmed_avg'\n"," 'flwr.server.strategy.aggregate.aggregate_median'\n"," 'flwr.server.strategy.aggregate.aggregate_krum'\n"," 'flwr.server.strategy.aggregate.aggregate_bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1709217720407,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"IxPT9D6DUJN3","outputId":"ded1f8b2-baf5-437b-abe3-25bad7a3c4ad"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['fedavg' 'trimmedmean' 'fedmedian' 'krum' 'bulyan' 'dnc']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"X8k98LNrUaLp"},"source":["Translate strings"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"zHNwpvZMUaLq"},"outputs":[],"source":["results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"9zMOOjCiUaLr"},"outputs":[],"source":["results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1709217802421,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"tygeoDz6UaLr","outputId":"2441a31a-ead0-4adf-8b95-73d75c6b3739"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['FLANDERS']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1709217803343,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"b8Xo1VseUaLr","outputId":"1fbb0a64-0695-4a89-eec1-e0a18ba54c40"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n","Unique values in aggregate_fn: ['FedAvg']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"zkmqmUTzUaLr"},"source":["Concatenate the 2 dataframes, namely FLANDERS+f and baselines:"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"m-wRVa9eUaLr"},"outputs":[],"source":["fmnist_df = pd.concat([results_flanders_df, results_no_flanders_df])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1709217813677,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"IhpjH5n1UaLs","outputId":"73f9a359-9f74-4e5e-b518-25af272b2207"},"outputs":[{"data":{"application/vnd.google.colaboratory.intrinsic+json":{"summary":"{\n \"name\": \"fmnist_df\",\n \"rows\": 7497,\n \"fields\": [\n {\n \"column\": \"round\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 14,\n \"min\": 0,\n \"max\": 50,\n \"num_unique_values\": 51,\n \"samples\": [\n 43,\n 40,\n 46\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"loss\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 5.098805154030721e+18,\n \"min\": 232.3792065680027,\n \"max\": 4.3645751884391645e+19,\n \"num_unique_values\": 7267,\n \"samples\": [\n 257.05002358555794,\n 303.2543874382973,\n 376.6231798529625\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"accuracy\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.2308533481360291,\n \"min\": 0.038,\n \"max\": 0.7626,\n \"num_unique_values\": 2608,\n \"samples\": [\n 0.3327,\n 0.4714,\n 0.5971\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"auc\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.12825186007557174,\n \"min\": 0.4655555555555556,\n \"max\": 0.8681111111111113,\n \"num_unique_values\": 3478,\n \"samples\": [\n 0.553,\n 0.8093333333333333,\n 0.7679999999999999\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"TP\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 944,\n \"min\": 0,\n \"max\": 3840,\n \"num_unique_values\": 292,\n \"samples\": [\n 1380,\n 165,\n 900\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"TN\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 943,\n \"min\": 0,\n \"max\": 4800,\n \"num_unique_values\": 439,\n \"samples\": [\n 195,\n 2960,\n 2584\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"FP\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 88,\n \"min\": 0,\n \"max\": 835,\n \"num_unique_values\": 259,\n \"samples\": [\n 333,\n 782,\n 156\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"FN\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 88,\n \"min\": 0,\n \"max\": 835,\n \"num_unique_values\": 259,\n \"samples\": [\n 333,\n 782,\n 156\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"attack_fn\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 4,\n \"samples\": [\n \"LIE\",\n \"AGR-MM\",\n \"GAUSS\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"dataset_name\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"fmnist\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"num_malicious\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 28,\n \"min\": 0,\n \"max\": 80,\n \"num_unique_values\": 4,\n \"samples\": [\n 20\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"strategy\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 7,\n \"samples\": [\n \"FLANDERS\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"aggregate_fn\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 6,\n \"samples\": [\n \"FedAvg\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}","type":"dataframe","variable_name":"fmnist_df"},"text/html":["\n","
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00722.5733350.09600.4977780000GAUSSfmnist0FLANDERSFedAvg
11679.1645870.22190.5677220000GAUSSfmnist0FLANDERSFedAvg
22559.4500050.45820.6990000000GAUSSfmnist0FLANDERSFedAvg
33473.0433670.53890.743833010000GAUSSfmnist0FLANDERSFedAvg
44438.4357100.56860.760333020000GAUSSfmnist0FLANDERSFedAvg
..........................................
356546729.7860360.10000.5000000000AGR-MMfmnist80DnCFedAvg
356647730.0917940.10000.5000000000AGR-MMfmnist80DnCFedAvg
356748730.4244920.10000.5000000000AGR-MMfmnist80DnCFedAvg
356849730.7109820.10000.5000000000AGR-MMfmnist80DnCFedAvg
356950731.0777110.10000.5000000000AGR-MMfmnist80DnCFedAvg
\n","

7497 rows × 13 columns

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\n"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 722.573335 0.0960 0.497778 0 0 0 0 GAUSS \n","1 1 679.164587 0.2219 0.567722 0 0 0 0 GAUSS \n","2 2 559.450005 0.4582 0.699000 0 0 0 0 GAUSS \n","3 3 473.043367 0.5389 0.743833 0 100 0 0 GAUSS \n","4 4 438.435710 0.5686 0.760333 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 729.786036 0.1000 0.500000 0 0 0 0 AGR-MM \n","3566 47 730.091794 0.1000 0.500000 0 0 0 0 AGR-MM \n","3567 48 730.424492 0.1000 0.500000 0 0 0 0 AGR-MM \n","3568 49 730.710982 0.1000 0.500000 0 0 0 0 AGR-MM \n","3569 50 731.077711 0.1000 0.500000 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 fmnist 0 FLANDERS FedAvg \n","1 fmnist 0 FLANDERS FedAvg \n","2 fmnist 0 FLANDERS FedAvg \n","3 fmnist 0 FLANDERS FedAvg \n","4 fmnist 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 fmnist 80 DnC FedAvg \n","3566 fmnist 80 DnC FedAvg \n","3567 fmnist 80 DnC FedAvg \n","3568 fmnist 80 DnC FedAvg \n","3569 fmnist 80 DnC FedAvg \n","\n","[7497 rows x 13 columns]"]},"execution_count":20,"metadata":{},"output_type":"execute_result"}],"source":["fmnist_df"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6,"status":"ok","timestamp":1709217818750,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"XYwnEFa2UaLs","outputId":"44dcb4de-f892-4555-b5d8-8cfcacd37137"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n"]}],"source":["print_unique_data(fmnist_df)"]},{"cell_type":"code","execution_count":20,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":249,"status":"ok","timestamp":1716376734931,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"VY5G4tF1yVHN","outputId":"cf11f084-16b5-45b2-e1ae-6d9455909720"},"outputs":[{"ename":"FileNotFoundError","evalue":"[Errno 2] No such file or directory: '../outputs/all_results_cifar_flanders.csv'","output_type":"error","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)","Cell \u001b[0;32mIn[20], line 4\u001b[0m\n\u001b[1;32m 2\u001b[0m results_flanders_file \u001b[38;5;241m=\u001b[39m results_dir \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mall_results_cifar_flanders.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 3\u001b[0m results_no_flanders_file \u001b[38;5;241m=\u001b[39m results_dir \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mall_results_cifar_no_flanders.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m----> 4\u001b[0m results_flanders_df \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_csv\u001b[49m\u001b[43m(\u001b[49m\u001b[43mresults_flanders_file\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 5\u001b[0m results_no_flanders_df \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mread_csv(results_no_flanders_file)\n\u001b[1;32m 6\u001b[0m results_flanders_df \u001b[38;5;241m=\u001b[39m translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:948\u001b[0m, in \u001b[0;36mread_csv\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend)\u001b[0m\n\u001b[1;32m 935\u001b[0m kwds_defaults \u001b[38;5;241m=\u001b[39m _refine_defaults_read(\n\u001b[1;32m 936\u001b[0m dialect,\n\u001b[1;32m 937\u001b[0m delimiter,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 944\u001b[0m dtype_backend\u001b[38;5;241m=\u001b[39mdtype_backend,\n\u001b[1;32m 945\u001b[0m )\n\u001b[1;32m 946\u001b[0m kwds\u001b[38;5;241m.\u001b[39mupdate(kwds_defaults)\n\u001b[0;32m--> 948\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_read\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:611\u001b[0m, in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m 608\u001b[0m _validate_names(kwds\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnames\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m))\n\u001b[1;32m 610\u001b[0m \u001b[38;5;66;03m# Create the parser.\u001b[39;00m\n\u001b[0;32m--> 611\u001b[0m parser \u001b[38;5;241m=\u001b[39m \u001b[43mTextFileReader\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 613\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m chunksize \u001b[38;5;129;01mor\u001b[39;00m iterator:\n\u001b[1;32m 614\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m parser\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:1448\u001b[0m, in \u001b[0;36mTextFileReader.__init__\u001b[0;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[1;32m 1445\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m kwds[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[1;32m 1447\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles: IOHandles \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m-> 1448\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_engine \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_make_engine\u001b[49m\u001b[43m(\u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mengine\u001b[49m\u001b[43m)\u001b[49m\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:1705\u001b[0m, in \u001b[0;36mTextFileReader._make_engine\u001b[0;34m(self, f, engine)\u001b[0m\n\u001b[1;32m 1703\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m mode:\n\u001b[1;32m 1704\u001b[0m mode \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m-> 1705\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;241m=\u001b[39m \u001b[43mget_handle\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1706\u001b[0m \u001b[43m \u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1707\u001b[0m \u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1708\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1709\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompression\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcompression\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1710\u001b[0m \u001b[43m \u001b[49m\u001b[43mmemory_map\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmemory_map\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1711\u001b[0m \u001b[43m \u001b[49m\u001b[43mis_text\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mis_text\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1712\u001b[0m \u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding_errors\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstrict\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1713\u001b[0m \u001b[43m \u001b[49m\u001b[43mstorage_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstorage_options\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1714\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1715\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 1716\u001b[0m f \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles\u001b[38;5;241m.\u001b[39mhandle\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/common.py:863\u001b[0m, in \u001b[0;36mget_handle\u001b[0;34m(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)\u001b[0m\n\u001b[1;32m 858\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(handle, \u001b[38;5;28mstr\u001b[39m):\n\u001b[1;32m 859\u001b[0m \u001b[38;5;66;03m# Check whether the filename is to be opened in binary mode.\u001b[39;00m\n\u001b[1;32m 860\u001b[0m \u001b[38;5;66;03m# Binary mode does not support 'encoding' and 'newline'.\u001b[39;00m\n\u001b[1;32m 861\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mencoding \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mmode:\n\u001b[1;32m 862\u001b[0m \u001b[38;5;66;03m# Encoding\u001b[39;00m\n\u001b[0;32m--> 863\u001b[0m handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\n\u001b[1;32m 864\u001b[0m \u001b[43m \u001b[49m\u001b[43mhandle\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 865\u001b[0m \u001b[43m \u001b[49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 866\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 867\u001b[0m \u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 868\u001b[0m \u001b[43m \u001b[49m\u001b[43mnewline\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 869\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 870\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 871\u001b[0m \u001b[38;5;66;03m# Binary mode\u001b[39;00m\n\u001b[1;32m 872\u001b[0m handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mopen\u001b[39m(handle, ioargs\u001b[38;5;241m.\u001b[39mmode)\n","\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '../outputs/all_results_cifar_flanders.csv'"]}],"source":["# CSV pre-processing CIFAR-10\n","results_flanders_file = results_dir + \"all_results_cifar_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_cifar_no_flanders.csv\"\n","results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)\n","results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","cifar_df = pd.concat([results_flanders_df, results_no_flanders_df])\n","cifar_df"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1716047460925,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"y7wfUI0eyeEp","outputId":"48c324d7-5816-406e-dd8a-284172967e90"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80 40]\n","Unique values in dataset_name: ['CIFAR-10']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'DnC' 'MultiKrum' 'Bulyan'\n"," 'FLDetector']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n"]}],"source":["print_unique_data(cifar_df)"]},{"cell_type":"markdown","metadata":{"id":"1TUxrAF6w6cY"},"source":["## Unify datasets"]},{"cell_type":"code","execution_count":10,"metadata":{"id":"R2wOP2Eex7X2"},"outputs":[],"source":["all_datasets_df = pd.concat([mnist_df, fmnist_df])"]},{"cell_type":"code","execution_count":11,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":428,"status":"ok","timestamp":1716376740426,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"jwDN17ygyFK7","outputId":"c3db739f-98b7-4070-f826-4344553e9ab7"},"outputs":[{"data":{"text/html":["
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00720.8331210.10450.5034220000GAUSSMNIST0FLANDERSFedAvg
11664.5222520.20890.5631160000GAUSSMNIST0FLANDERSFedAvg
22624.6338260.35600.6447310000GAUSSMNIST0FLANDERSFedAvg
33581.4764720.47730.710941010000GAUSSMNIST0FLANDERSFedAvg
44545.1142050.54300.746970020000GAUSSMNIST0FLANDERSFedAvg
..........................................
35654623279.5649070.10000.5000000000AGR-MMFMNIST80dncFedAvg
35664723290.9804420.10000.5000000000AGR-MMFMNIST80dncFedAvg
35674823302.2510220.10000.5000000000AGR-MMFMNIST80dncFedAvg
35684923312.5125960.10000.5000000000AGR-MMFMNIST80dncFedAvg
35695023326.1161770.10000.5000000000AGR-MMFMNIST80dncFedAvg
\n","

14432 rows × 13 columns

\n","
"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 720.833121 0.1045 0.503422 0 0 0 0 GAUSS \n","1 1 664.522252 0.2089 0.563116 0 0 0 0 GAUSS \n","2 2 624.633826 0.3560 0.644731 0 0 0 0 GAUSS \n","3 3 581.476472 0.4773 0.710941 0 100 0 0 GAUSS \n","4 4 545.114205 0.5430 0.746970 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 23279.564907 0.1000 0.500000 0 0 0 0 AGR-MM \n","3566 47 23290.980442 0.1000 0.500000 0 0 0 0 AGR-MM \n","3567 48 23302.251022 0.1000 0.500000 0 0 0 0 AGR-MM \n","3568 49 23312.512596 0.1000 0.500000 0 0 0 0 AGR-MM \n","3569 50 23326.116177 0.1000 0.500000 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 MNIST 0 FLANDERS FedAvg \n","1 MNIST 0 FLANDERS FedAvg \n","2 MNIST 0 FLANDERS FedAvg \n","3 MNIST 0 FLANDERS FedAvg \n","4 MNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 FMNIST 80 dnc FedAvg \n","3566 FMNIST 80 dnc FedAvg \n","3567 FMNIST 80 dnc FedAvg \n","3568 FMNIST 80 dnc FedAvg \n","3569 FMNIST 80 dnc FedAvg \n","\n","[14432 rows x 13 columns]"]},"execution_count":11,"metadata":{},"output_type":"execute_result"}],"source":["all_datasets_df"]},{"cell_type":"code","execution_count":12,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2,"status":"ok","timestamp":1716376741411,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"VWrdDPtPyHHA","outputId":"1ef8b853-63f8-4eac-a785-578684dbf0a6"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['MNIST' 'FMNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'dnc']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc']\n"]}],"source":["print_unique_data(all_datasets_df)"]},{"cell_type":"markdown","metadata":{"id":"OlES57TEn2Ng"},"source":["# Tables\n"]},{"cell_type":"markdown","metadata":{"id":"hcHkTXfGbapg"},"source":["## Accuracy"]},{"cell_type":"markdown","metadata":{"id":"7F1YDs12sZbE"},"source":["### Best with improvment w.r.t. baseline"]},{"cell_type":"code","execution_count":13,"metadata":{"id":"GuQM8bzXnIGx"},"outputs":[],"source":["def accuracy_table(input_df, b):\n"," # Define strategies and attacks\n"," strategies = ['FedAvg', 'FLANDERS + FedAvg', 'FedMedian', 'FLANDERS + FedMedian', 'TrimmedMean', 'FLANDERS + TrimmedMean', 'MultiKrum', 'FLANDERS + MultiKrum', 'Bulyan', 'FLANDERS + Bulyan']\n"," attacks = ['GAUSS', 'LIE', 'OPT', 'AGR-MM']\n"," dataset_names = [\"MNIST\", \"FMNIST\"]\n","\n"," # Create MultiIndex for the columns\n"," columns = pd.MultiIndex.from_product([dataset_names, attacks], names=['Dataset', 'Attack'])\n","\n"," # Create an empty DataFrame with the defined columns and strategies\n"," df = pd.DataFrame(index=strategies, columns=columns)\n","\n"," filtered_df = input_df[(input_df['num_malicious'] == b) & (input_df['round'] >= 3)]\n"," baseline_df = filtered_df[filtered_df['strategy'] != 'FLANDERS']\n"," flanders_df = filtered_df[filtered_df['strategy'] == 'FLANDERS']\n","\n"," # Populate the DataFrame\n"," for strategy in ['FedAvg', 'TrimmedMean', 'FedMedian', 'MultiKrum', 'Bulyan']:\n"," for dataset in dataset_names:\n"," for attack in attacks:\n"," df.loc[strategy, (dataset, attack)] = round(baseline_df[(baseline_df['strategy']==strategy) & (baseline_df['attack_fn']==attack) & (baseline_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n"," df.loc[f\"FLANDERS + {strategy}\", (dataset, attack)] = round(flanders_df[(flanders_df['aggregate_fn']==strategy) & (flanders_df['attack_fn']==attack) & (flanders_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n","\n"," return df\n"]},{"cell_type":"code","execution_count":30,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":457},"executionInfo":{"elapsed":1243,"status":"ok","timestamp":1715943873268,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"PruXJg2vA87b","outputId":"98d83851-626b-4877-fd09-8f2f01200c65"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSGAUSS
FedAvg0.860.68
FLANDERS + FedAvg0.840.64
FedMedian0.830.71
FLANDERS + FedMedian0.760.73
TrimmedMean0.850.69
FLANDERS + TrimmedMean0.780.7
MultiKrum0.680.66
FLANDERS + MultiKrum0.740.73
Bulyan0.860.62
FLANDERS + Bulyan0.870.65
\n","
"],"text/plain":["Dataset MNIST FMNIST\n","Attack GAUSS GAUSS\n","FedAvg 0.86 0.68\n","FLANDERS + FedAvg 0.84 0.64\n","FedMedian 0.83 0.71\n","FLANDERS + FedMedian 0.76 0.73\n","TrimmedMean 0.85 0.69\n","FLANDERS + TrimmedMean 0.78 0.7\n","MultiKrum 0.68 0.66\n","FLANDERS + MultiKrum 0.74 0.73\n","Bulyan 0.86 0.62\n","FLANDERS + Bulyan 0.87 0.65"]},"execution_count":30,"metadata":{},"output_type":"execute_result"}],"source":["# Table 19\n","acc_0 = accuracy_table(all_datasets_df, 0)\n","acc_0.dropna(axis=1, how='all')"]},{"cell_type":"code","execution_count":15,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":457},"executionInfo":{"elapsed":858,"status":"ok","timestamp":1715944158330,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"8bV7hABWbyMS","outputId":"6d24f87d-da15-40b2-8880-3b6dcefda1fd"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSLIEOPTAGR-MMGAUSSLIEOPTAGR-MM
FedAvg0.20.170.670.450.250.170.570.11
FLANDERS + FedAvg0.880.870.480.880.660.670.570.64
FedMedian0.80.660.790.590.660.650.670.6
FLANDERS + FedMedian0.850.850.660.830.710.690.630.73
TrimmedMean0.860.520.730.610.690.540.620.58
FLANDERS + TrimmedMean0.810.850.780.830.690.70.630.73
MultiKrum0.780.770.810.820.740.650.70.67
FLANDERS + MultiKrum0.820.860.840.820.730.70.730.71
Bulyan0.820.840.840.830.710.720.690.76
FLANDERS + Bulyan0.90.840.790.850.650.650.660.65
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","Attack GAUSS LIE OPT AGR-MM GAUSS LIE OPT AGR-MM\n","FedAvg 0.2 0.17 0.67 0.45 0.25 0.17 0.57 0.11\n","FLANDERS + FedAvg 0.88 0.87 0.48 0.88 0.66 0.67 0.57 0.64\n","FedMedian 0.8 0.66 0.79 0.59 0.66 0.65 0.67 0.6\n","FLANDERS + FedMedian 0.85 0.85 0.66 0.83 0.71 0.69 0.63 0.73\n","TrimmedMean 0.86 0.52 0.73 0.61 0.69 0.54 0.62 0.58\n","FLANDERS + TrimmedMean 0.81 0.85 0.78 0.83 0.69 0.7 0.63 0.73\n","MultiKrum 0.78 0.77 0.81 0.82 0.74 0.65 0.7 0.67\n","FLANDERS + MultiKrum 0.82 0.86 0.84 0.82 0.73 0.7 0.73 0.71\n","Bulyan 0.82 0.84 0.84 0.83 0.71 0.72 0.69 0.76\n","FLANDERS + Bulyan 0.9 0.84 0.79 0.85 0.65 0.65 0.66 0.65"]},"execution_count":15,"metadata":{},"output_type":"execute_result"}],"source":["# Table 15\n","acc_20 = accuracy_table(all_datasets_df, 20)\n","acc_20"]},{"cell_type":"code","execution_count":16,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1126,"status":"ok","timestamp":1716115710006,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"xSvgEwLoPmh3","outputId":"1c65e66e-7374-46f0-a2a5-0964bc40e49a"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSLIEOPTAGR-MMGAUSSLIEOPTAGR-MM
FedAvg0.190.150.20.160.280.10.190.1
FLANDERS + FedAvg0.760.880.850.850.690.670.710.67
FedMedian0.80.190.160.290.650.10.10.1
FLANDERS + FedMedian0.80.860.830.860.710.690.710.71
TrimmedMean0.250.20.330.10.330.10.170.1
FLANDERS + TrimmedMean0.780.870.840.830.70.710.730.74
MultiKrum0.790.140.220.150.710.10.120.1
FLANDERS + MultiKrum0.880.880.860.780.720.710.730.69
BulyanNaNNaNNaNNaNNaNNaNNaNNaN
FLANDERS + Bulyan0.890.870.90.850.680.640.60.69
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","Attack GAUSS LIE OPT AGR-MM GAUSS LIE OPT AGR-MM\n","FedAvg 0.19 0.15 0.2 0.16 0.28 0.1 0.19 0.1\n","FLANDERS + FedAvg 0.76 0.88 0.85 0.85 0.69 0.67 0.71 0.67\n","FedMedian 0.8 0.19 0.16 0.29 0.65 0.1 0.1 0.1\n","FLANDERS + FedMedian 0.8 0.86 0.83 0.86 0.71 0.69 0.71 0.71\n","TrimmedMean 0.25 0.2 0.33 0.1 0.33 0.1 0.17 0.1\n","FLANDERS + TrimmedMean 0.78 0.87 0.84 0.83 0.7 0.71 0.73 0.74\n","MultiKrum 0.79 0.14 0.22 0.15 0.71 0.1 0.12 0.1\n","FLANDERS + MultiKrum 0.88 0.88 0.86 0.78 0.72 0.71 0.73 0.69\n","Bulyan NaN NaN NaN NaN NaN NaN NaN NaN\n","FLANDERS + Bulyan 0.89 0.87 0.9 0.85 0.68 0.64 0.6 0.69"]},"execution_count":16,"metadata":{},"output_type":"execute_result"}],"source":["# Table 17\n","acc_60 = accuracy_table(all_datasets_df, 60)\n","acc_60"]},{"cell_type":"code","execution_count":17,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1188,"status":"ok","timestamp":1716050662469,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"dM_AMm_jcCye","outputId":"90533ef1-500f-40a3-f565-2c2ca1d68aaa"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSLIEOPTAGR-MMGAUSSLIEOPTAGR-MM
FedAvg0.210.160.310.130.240.10.180.1
FLANDERS + FedAvg0.850.860.880.850.690.70.690.66
FedMedian0.340.170.140.090.30.10.140.1
FLANDERS + FedMedian0.870.840.80.80.730.740.720.72
TrimmedMean0.170.150.210.140.210.10.120.1
FLANDERS + TrimmedMean0.810.850.810.820.740.730.70.69
MultiKrum0.820.210.320.110.720.10.150.1
FLANDERS + MultiKrum0.870.830.870.850.680.730.720.7
BulyanNaNNaNNaNNaNNaNNaNNaNNaN
FLANDERS + Bulyan0.840.840.830.80.690.720.690.68
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","Attack GAUSS LIE OPT AGR-MM GAUSS LIE OPT AGR-MM\n","FedAvg 0.21 0.16 0.31 0.13 0.24 0.1 0.18 0.1\n","FLANDERS + FedAvg 0.85 0.86 0.88 0.85 0.69 0.7 0.69 0.66\n","FedMedian 0.34 0.17 0.14 0.09 0.3 0.1 0.14 0.1\n","FLANDERS + FedMedian 0.87 0.84 0.8 0.8 0.73 0.74 0.72 0.72\n","TrimmedMean 0.17 0.15 0.21 0.14 0.21 0.1 0.12 0.1\n","FLANDERS + TrimmedMean 0.81 0.85 0.81 0.82 0.74 0.73 0.7 0.69\n","MultiKrum 0.82 0.21 0.32 0.11 0.72 0.1 0.15 0.1\n","FLANDERS + MultiKrum 0.87 0.83 0.87 0.85 0.68 0.73 0.72 0.7\n","Bulyan NaN NaN NaN NaN NaN NaN NaN NaN\n","FLANDERS + Bulyan 0.84 0.84 0.83 0.8 0.69 0.72 0.69 0.68"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["# Table 3\n","acc_80 = accuracy_table(all_datasets_df, 80)\n","acc_80"]},{"cell_type":"markdown","metadata":{"id":"CZX8c37MsgFL"},"source":["### Best w.r.t. number of attackers"]},{"cell_type":"code","execution_count":18,"metadata":{"id":"xgIKM1obsmd2"},"outputs":[],"source":["def accuracy_table_attackers(input_df, aggregate_fn):\n"," # Define strategies and attacks\n"," attacks = ['GAUSS', 'LIE', 'OPT', 'AGR-MM']\n"," dataset_names = [\"MNIST\", \"FMNIST\"]\n"," num_malicious = [0, 20, 60, 80]\n","\n"," # Create MultiIndex for the columns\n"," columns = pd.MultiIndex.from_product([dataset_names, num_malicious], names=['Dataset', '# Malicious'])\n","\n"," #######\n"," #columns = pd.MultiIndex.from_product([['MNIST', 'CIFAR-10'], ['GAUSS', 'LIE', 'OPT', 'AGR-MM'], ['LAST', 'BEST']])\n"," #######\n","\n","\n"," # Create an empty DataFrame with the defined columns and strategies\n"," df = pd.DataFrame(index=attacks, columns=columns)\n","\n"," filtered_df = input_df[(input_df['aggregate_fn'] == aggregate_fn) & (input_df['round'] >= 3)]\n"," baseline_df = filtered_df[filtered_df['strategy'] != 'FLANDERS']\n"," flanders_df = filtered_df[filtered_df['strategy'] == 'FLANDERS']\n","\n"," # Populate the DataFrame\n"," for dataset in dataset_names:\n"," for attack in attacks:\n"," for b in num_malicious:\n"," if b == 0:\n"," df.loc[attack, (dataset, b)] = round(flanders_df[(flanders_df['num_malicious']==b) & (flanders_df['attack_fn']=='GAUSS') & (flanders_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n"," else:\n"," df.loc[attack, (dataset, b)] = round(flanders_df[(flanders_df['num_malicious']==b) & (flanders_df['attack_fn']==attack) & (flanders_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n","\n"," return df"]},{"cell_type":"code","execution_count":19,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"executionInfo":{"elapsed":305,"status":"ok","timestamp":1715954054792,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"0n9vhQiQuxk_","outputId":"500dfb31-f525-4289-f337-2c945bf50cd2"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
# Malicious02060800206080
GAUSS0.740.820.880.870.730.730.720.68
LIE0.740.860.880.830.730.70.710.73
OPT0.740.840.860.870.730.730.730.72
AGR-MM0.740.820.780.850.730.710.690.7
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","# Malicious 0 20 60 80 0 20 60 80\n","GAUSS 0.74 0.82 0.88 0.87 0.73 0.73 0.72 0.68\n","LIE 0.74 0.86 0.88 0.83 0.73 0.7 0.71 0.73\n","OPT 0.74 0.84 0.86 0.87 0.73 0.73 0.73 0.72\n","AGR-MM 0.74 0.82 0.78 0.85 0.73 0.71 0.69 0.7"]},"execution_count":19,"metadata":{},"output_type":"execute_result"}],"source":["# Table 20\n","acc_att = accuracy_table_attackers(all_datasets_df, 'MultiKrum')\n","acc_att"]},{"cell_type":"markdown","metadata":{"id":"g6yDorrubUw1"},"source":["## Precision and Recall"]},{"cell_type":"code","execution_count":22,"metadata":{"id":"y0PlDlG0bKek"},"outputs":[],"source":["def pr_table(input_df, b):\n"," strategies = ['FLANDERS']\n"," attacks = ['GAUSS', 'LIE', 'OPT', 'AGR-MM']\n"," dataset_names = [\"MNIST\", \"FMNIST\"]\n","\n"," # Create MultiIndex for the columns\n"," columns = pd.MultiIndex.from_product([strategies, attacks, ['P', 'R']], names=['Strategy', 'Attack', 'P/R'])\n","\n"," # Create an empty DataFrame with the defined columns and strategies\n"," df = pd.DataFrame(index=dataset_names, columns=columns)\n","\n"," filtered_df = input_df[(input_df['num_malicious'] == b) & (input_df['round'] == 50) & (input_df['aggregate_fn']=='FedAvg')]\n"," flanders_df = filtered_df[filtered_df['strategy'] == 'FLANDERS']\n"," strat_dfs = [flanders_df]\n","\n"," # Populate the DataFrame\n"," for dataset in dataset_names:\n"," for attack in attacks:\n"," for idx, strategy in enumerate(strategies):\n"," tp = strat_dfs[idx][(strat_dfs[idx]['attack_fn']==attack) & (strat_dfs[idx]['dataset_name']==dataset)]['TP'].iloc[0]\n"," fp = strat_dfs[idx][(strat_dfs[idx]['attack_fn']==attack) & (strat_dfs[idx]['dataset_name']==dataset)]['FP'].iloc[0]\n"," fn = strat_dfs[idx][(strat_dfs[idx]['attack_fn']==attack) & (strat_dfs[idx]['dataset_name']==dataset)]['FN'].iloc[0]\n"," df.loc[dataset, (strategy, attack, 'P')] = round(tp / (tp+fp), 2)\n"," df.loc[dataset, (strategy, attack, 'R')] = round(tp / (tp+fn), 2)\n","\n"," return df"]},{"cell_type":"code","execution_count":23,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":257},"executionInfo":{"elapsed":248,"status":"ok","timestamp":1716367268457,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"rpQyziNRh3dn","outputId":"26e2c0f9-144d-4cad-d13f-1e2351aa2081"},"outputs":[{"data":{"text/html":["
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StrategyFLANDERS
AttackGAUSSLIEOPTAGR-MM
P/RPRPRPRPR
MNIST1.01.01.01.00.150.151.01.0
FMNIST1.01.01.01.00.160.161.01.0
\n","
"],"text/plain":["Strategy FLANDERS \n","Attack GAUSS LIE OPT AGR-MM \n","P/R P R P R P R P R\n","MNIST 1.0 1.0 1.0 1.0 0.15 0.15 1.0 1.0\n","FMNIST 1.0 1.0 1.0 1.0 0.16 0.16 1.0 1.0"]},"execution_count":23,"metadata":{},"output_type":"execute_result"}],"source":["# Table 1\n","pr_20 = pr_table(all_datasets_df, 20)\n","pr_20"]},{"cell_type":"code","execution_count":24,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":257},"executionInfo":{"elapsed":327,"status":"ok","timestamp":1716367273542,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"ccW0Ups3iMvZ","outputId":"ba945e17-1bbe-414f-9aa0-b03fb0fe107f"},"outputs":[{"data":{"text/html":["
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StrategyFLANDERS
AttackGAUSSLIEOPTAGR-MM
P/RPRPRPRPR
MNIST1.01.01.01.01.01.01.01.0
FMNIST1.01.01.01.01.01.01.01.0
\n","
"],"text/plain":["Strategy FLANDERS \n","Attack GAUSS LIE OPT AGR-MM \n","P/R P R P R P R P R\n","MNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0\n","FMNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0"]},"execution_count":24,"metadata":{},"output_type":"execute_result"}],"source":["# Table 2\n","pr_60 = pr_table(all_datasets_df, 60)\n","pr_60"]},{"cell_type":"code","execution_count":25,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":257},"executionInfo":{"elapsed":308,"status":"ok","timestamp":1716376750779,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"05a0Gv5piS2v","outputId":"0cf6555a-4cc8-4aa5-f9b6-c8286afa130a"},"outputs":[{"data":{"text/html":["
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StrategyFLANDERS
AttackGAUSSLIEOPTAGR-MM
P/RPRPRPRPR
MNIST1.01.01.01.01.01.01.01.0
FMNIST1.01.01.01.01.01.01.01.0
\n","
"],"text/plain":["Strategy FLANDERS \n","Attack GAUSS LIE OPT AGR-MM \n","P/R P R P R P R P R\n","MNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0\n","FMNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0"]},"execution_count":25,"metadata":{},"output_type":"execute_result"}],"source":["# Table 3\n","pr_80 = pr_table(all_datasets_df, 80)\n","pr_80"]},{"cell_type":"markdown","metadata":{"id":"bN7dTn2u0r6K"},"source":["# Plots"]},{"cell_type":"markdown","metadata":{"id":"xZ0wiadBsVUh"},"source":["## Accuracy over rounds"]},{"cell_type":"code","execution_count":26,"metadata":{"id":"LQ_uYJCtjdJS"},"outputs":[],"source":["df_mnist_acc_flanders = all_datasets_df[(all_datasets_df['strategy']=='FLANDERS') & (all_datasets_df['num_malicious']==80) & (all_datasets_df['dataset_name']=='MNIST') & (all_datasets_df['aggregate_fn']=='MultiKrum')]\n","df_mnist_acc_fedavg = all_datasets_df[(all_datasets_df['strategy']=='FedAvg') & (all_datasets_df['num_malicious']==80) & (all_datasets_df['dataset_name']=='MNIST')]\n","df_no_attack = all_datasets_df[(all_datasets_df['strategy']=='FedAvg') & (all_datasets_df['num_malicious']==0) & (all_datasets_df['dataset_name']=='MNIST')]"]},{"cell_type":"code","execution_count":27,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":408},"executionInfo":{"elapsed":651,"status":"ok","timestamp":1714668544212,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"NDkD_Qnd1iT7","outputId":"928cfa90-04a2-4624-9825-adb0d124aaf8"},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["# Figure 3\n","num_plots = 2\n","plt.style.use('default')\n","fig, axs = plt.subplots(1, num_plots, figsize=(11, 4))\n","\n","data = [df_mnist_acc_flanders, df_mnist_acc_fedavg]\n","\n","for i in range(num_plots):\n"," if i == 0:\n"," acc = df_no_attack[df_no_attack[\"attack_fn\"]=='GAUSS']['accuracy'].to_list()\n"," axs[i].plot(acc, label=\"No Attack\", linestyle='--', color='slategray')\n"," for attack in ['GAUSS', 'LIE', 'OPT', 'AGR-MM']:\n"," acc = data[i][data[i]['attack_fn']==attack]['accuracy'].to_list()\n"," x = [i for i in range(len(data))]\n"," axs[i].plot(acc, label=attack)\n"," axs[i].set_ylim((0,1.0))\n"," axs[i].set_xlabel('Round', fontsize=16)\n"," axs[i].set_ylabel('Accuracy', fontsize=16)\n"," axs[i].legend(prop={'size': 12})\n"," axs[i].tick_params(axis='both', which='major', labelsize=16)\n"," axs[i].tick_params(axis='both', which='minor', labelsize=16)\n","\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":[]}],"metadata":{"colab":{"authorship_tag":"ABX9TyODCHCYl18UhHkKwq6LlRvG","collapsed_sections":["P_3Z05w0wvNB","dE_uqUeuyl6M","9vVX6wsxT-rc","RctMDJMZyPq2","R9VNz7Cv9RHn","6V4padUiYeac","pZ863s6JJbph","EJDtdXqLJX0H"],"provenance":[]},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.9.18"}},"nbformat":4,"nbformat_minor":0} From 6ae9a2ce6e21f96018bc40b23ef563232d5410dd Mon Sep 17 00:00:00 2001 From: edogab33 Date: Mon, 24 Jun 2024 12:26:58 +0200 Subject: [PATCH 76/91] Update README --- baselines/flanders/README.md | 16 ++++++++++++---- baselines/flanders/flanders/conf/base.yaml | 2 +- 2 files changed, 13 insertions(+), 5 deletions(-) diff --git a/baselines/flanders/README.md b/baselines/flanders/README.md index d358a4cb0b0d..dfe2b336aad4 100644 --- a/baselines/flanders/README.md +++ b/baselines/flanders/README.md @@ -19,7 +19,7 @@ dataset: [MNIST, Income, CIFAR-10, California Housing] **Hardware Setup:** AMD Ryzen 9, 64 GB RAM, and an NVIDIA 4090 GPU with 24 GB VRAM. -**Estimated time to run:** You can expect to run experiments on the given setup in 2m with *MNIST* and 3m with *Fashion-MNIST*, without attacks. With an Apple M2 Pro, 16gb RAM; each experiment with 10 clients for MNIST runs in about 24 minutes. Note that experiments with OPT (fang) and AGR-MM (minmax) can be up to 10x times slower. +**Estimated time to run:** You can expect to run experiments on the given setup in 2m with *MNIST* and 3m with *Fashion-MNIST*, without attacks. With an Apple M2 Pro, 16gb RAM, each experiment with 10 clients for MNIST runs in about 24 minutes. Note that experiments with OPT (fang) and AGR-MM (minmax) can be up to 5x times slower. **Contributors:** Edoardo Gabrielli, Sapienza University of Rome ([GitHub](https://github.com/edogab33), [Scholar](https://scholar.google.com/citations?user=b3bePdYAAAAJ)) @@ -107,12 +107,20 @@ python -m flanders.main --multirun dataset=mnist,fmnist server.attack_fn=gaussia ## Expected Results -By running; +Use this command to run experiments on FLANDERS+\[baseline\] ```bash -python -m flanders.main --multirun dataset=mnist,fmnist server.attack_fn=gaussian,lie,fang,minmax server.num_malicious=0,1,2,3,4,5,6,7,8,9 +python -m flanders.main --multirun server.num_rounds=50 dataset=fmnist strategy=flanders aggregate_fn=fedavg,trimmedmean,fedmedian,krum,bulyan server.pool_size=100 server.num_malicious=0,20,60,80 server.attack_fn=gaussian,lie,fang,minmax client_resources.num_cpus=0.1 client_resources.num_gpus=0.1 ``` -It will generate the results in `results/all_results.csv`. To generate the plots, use the notebook in `plotting/plots.ipynb`. +And then this command to run experiments on vanilla baselines: + +```bash +python -m flanders.main --multirun server.num_rounds=50 dataset=fmnist strategy=fedavg,trimmedmean,fedmedian,krum,bulyan server.pool_size=100 server.num_malicious=0,20,60,80 server.attack_fn=gaussian,lie,fang,minmax client_resources.num_cpus=0.1 client_resources.num_gpus=0.1 +``` + +They will generate the results in `results/all_results.csv`. + +To generate the plots, use the notebook in `plotting/plots.ipynb`. Expected maximum accuracy achieved across different numbers of malicious clients and different attacks: diff --git a/baselines/flanders/flanders/conf/base.yaml b/baselines/flanders/flanders/conf/base.yaml index f3e1a0da06cd..9742d85e2af8 100644 --- a/baselines/flanders/flanders/conf/base.yaml +++ b/baselines/flanders/flanders/conf/base.yaml @@ -9,7 +9,7 @@ server: _target_: flanders.server.EnhancedServer num_rounds: 100 pool_size: 100 - warmup_rounds: 30 + warmup_rounds: 2 sampling: 500 history_dir: clients_params magnitude: 10 From 34ef4282d90a2f2bb897e856658250970b9f866c Mon Sep 17 00:00:00 2001 From: edogab33 Date: Mon, 24 Jun 2024 12:27:18 +0200 Subject: [PATCH 77/91] Update notebook --- baselines/flanders/plotting/FLANDERS_results.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/baselines/flanders/plotting/FLANDERS_results.ipynb b/baselines/flanders/plotting/FLANDERS_results.ipynb index 4bfd4d8270dd..cb1d94a31b29 100644 --- a/baselines/flanders/plotting/FLANDERS_results.ipynb +++ b/baselines/flanders/plotting/FLANDERS_results.ipynb @@ -1 +1 @@ -{"cells":[{"cell_type":"markdown","metadata":{"id":"Cg37xeuu7Xy5"},"source":["# Preliminaries"]},{"cell_type":"code","execution_count":1,"metadata":{"id":"J_Dh3sGVyb2w"},"outputs":[],"source":["import pandas as pd\n","from natsort import natsorted\n","import matplotlib.pyplot as plt"]},{"cell_type":"code","execution_count":2,"metadata":{"id":"FjlCyr_B8OdT"},"outputs":[],"source":["results_dir = \"../outputs/\""]},{"cell_type":"markdown","metadata":{"id":"VX2oCpZf7Z7y"},"source":["# Prepare data"]},{"cell_type":"markdown","metadata":{"id":"P_3Z05w0wvNB"},"source":["## Utils"]},{"cell_type":"code","execution_count":3,"metadata":{"id":"fZSDCuT497HV"},"outputs":[],"source":["def print_unique_data(results_df):\n"," for col in [\"attack_fn\", \"num_malicious\", \"dataset_name\", \"strategy\", \"aggregate_fn\"]:\n"," print(f\"Unique values in {col}: {results_df[col].unique()}\")"]},{"cell_type":"code","execution_count":4,"metadata":{"id":"8GcIZNuu8q5Y"},"outputs":[],"source":["def translate_cols(df, attack_dict, dataset_dict, strategy_dict, aggregate_dict):\n"," column_names = [\"attack_fn\", \"dataset_name\", \"strategy\", \"aggregate_fn\"]\n"," for idx, d in enumerate([attack_dict, dataset_dict, strategy_dict, aggregate_dict]):\n"," df[column_names[idx]] = df[column_names[idx]].replace(d)\n"," return df"]},{"cell_type":"code","execution_count":5,"metadata":{"id":"oHcF2pl8sdOG"},"outputs":[],"source":["attack_dict = {\n"," \"gaussian\": \"GAUSS\",\n"," \"lie\": \"LIE\",\n"," \"fang\": \"OPT\",\n"," \"minmax\": \"AGR-MM\",\n"," \"adaptive\": \"MAR-ATK\"\n","}\n","\n","dataset_dict = {\n"," \"mnist\": \"MNIST\",\n"," \"fmnist\": \"FMNIST\",\n"," \"cifar\": \"CIFAR-10\",\n"," \"cifar100\": \"CIFAR-100\"\n","}\n","\n","strategy_dict = {\n"," \"flanders\": \"FLANDERS\",\n"," \"fedavg\": \"FedAvg\",\n"," \"fedmedian\": \"FedMedian\",\n"," \"trimmedmean\": \"TrimmedMean\",\n"," \"bulyan\": \"Bulyan\",\n"," \"krum\": \"MultiKrum\",\n"," \"fldetector\": \"FLDetector\"\n","}\n","\n","aggregate_dict = {\n"," \"flwr.server.strategy.aggregate.aggregate\": \"FedAvg\",\n"," \"flwr.server.strategy.aggregate.aggregate_median\": \"FedMedian\",\n"," \"flwr.server.strategy.aggregate.aggregate_trimmed_avg\": \"TrimmedMean\",\n"," \"flwr.server.strategy.aggregate.aggregate_bulyan\": \"Bulyan\",\n"," \"flwr.server.strategy.aggregate.aggregate_krum\": \"MultiKrum\"\n","}"]},{"cell_type":"markdown","metadata":{"id":"y0XCCkuhwydB"},"source":["## MNIST"]},{"cell_type":"markdown","metadata":{"id":"NG2-2cpnyjkY"},"source":["### Use this shortcut"]},{"cell_type":"code","execution_count":6,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":244,"status":"ok","timestamp":1716376729975,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"lY85nEb6yrXu","outputId":"5439a3bc-684f-492f-b615-53e2252cd94c"},"outputs":[{"data":{"text/html":["
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00720.8331210.10450.5034220000GAUSSMNIST0FLANDERSFedAvg
11664.5222520.20890.5631160000GAUSSMNIST0FLANDERSFedAvg
22624.6338260.35600.6447310000GAUSSMNIST0FLANDERSFedAvg
33581.4764720.47730.710941010000GAUSSMNIST0FLANDERSFedAvg
44545.1142050.54300.746970020000GAUSSMNIST0FLANDERSFedAvg
..........................................
356546724.2817250.10250.5004790000AGR-MMMNIST80dncFedAvg
356647724.3501380.10240.5004210000AGR-MMMNIST80dncFedAvg
356748724.5352630.10250.5004790000AGR-MMMNIST80dncFedAvg
356849724.5888810.10280.5005980000AGR-MMMNIST80dncFedAvg
356950724.7838510.10280.5006020000AGR-MMMNIST80dncFedAvg
\n","

7548 rows × 13 columns

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"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 720.833121 0.1045 0.503422 0 0 0 0 GAUSS \n","1 1 664.522252 0.2089 0.563116 0 0 0 0 GAUSS \n","2 2 624.633826 0.3560 0.644731 0 0 0 0 GAUSS \n","3 3 581.476472 0.4773 0.710941 0 100 0 0 GAUSS \n","4 4 545.114205 0.5430 0.746970 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 724.281725 0.1025 0.500479 0 0 0 0 AGR-MM \n","3566 47 724.350138 0.1024 0.500421 0 0 0 0 AGR-MM \n","3567 48 724.535263 0.1025 0.500479 0 0 0 0 AGR-MM \n","3568 49 724.588881 0.1028 0.500598 0 0 0 0 AGR-MM \n","3569 50 724.783851 0.1028 0.500602 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 MNIST 0 FLANDERS FedAvg \n","1 MNIST 0 FLANDERS FedAvg \n","2 MNIST 0 FLANDERS FedAvg \n","3 MNIST 0 FLANDERS FedAvg \n","4 MNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 MNIST 80 dnc FedAvg \n","3566 MNIST 80 dnc FedAvg \n","3567 MNIST 80 dnc FedAvg \n","3568 MNIST 80 dnc FedAvg \n","3569 MNIST 80 dnc FedAvg \n","\n","[7548 rows x 13 columns]"]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["# CSV pre-processing MNIST\n","results_flanders_file = results_dir + \"all_results_mnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_mnist_no_flanders.csv\"\n","results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)\n","results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","mnist_df = pd.concat([results_flanders_df, results_no_flanders_df])\n","mnist_df"]},{"cell_type":"code","execution_count":17,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":9,"status":"ok","timestamp":1716115669854,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"hg3ysnqiNrms","outputId":"bae8ab71-ce7b-409a-b154-6ad42f9dfc3b"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n"]}],"source":["print_unique_data(mnist_df)"]},{"cell_type":"markdown","metadata":{"id":"dE_uqUeuyl6M"},"source":["### Step-by-step processing"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"R9Cpe8bF8a2z"},"outputs":[],"source":["results_flanders_file = results_dir + \"all_results_mnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_mnist_no_flanders.csv\""]},{"cell_type":"code","execution_count":null,"metadata":{"id":"8nPsIraZ7nJK"},"outputs":[],"source":["results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1707513800371,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"oC_C6WVMshle","outputId":"20708ffb-24d9-4d94-fc83-6ab93c8d4ed0"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['mnist']\n","Unique values in strategy: ['flanders']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate'\n"," 'flwr.server.strategy.aggregate.aggregate_trimmed_avg'\n"," 'flwr.server.strategy.aggregate.aggregate_median'\n"," 'flwr.server.strategy.aggregate.aggregate_bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc'\n"," 'flwr.server.strategy.aggregate.aggregate_krum']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":423,"status":"ok","timestamp":1707478795736,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"2xSStl9-52cc","outputId":"391a3d7c-c4b5-486c-85a2-97d9a5ddb30d"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 40 60 80]\n","Unique values in dataset_name: ['mnist']\n","Unique values in strategy: ['fedavg' 'trimmedmean' 'fedmedian' 'bulyan' 'dnc' 'krum']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"8dEepZY28raZ"},"source":["Translate strings"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"zNPGc6YJ7E_J"},"outputs":[],"source":["results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"AQaNnF1K7TQc"},"outputs":[],"source":["results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":393,"status":"ok","timestamp":1707478246670,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"MXYnAzh8V-9t","outputId":"8f09ab5c-cd3e-4627-9f76-5f474ec09227"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FLANDERS']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":8,"status":"ok","timestamp":1707472989224,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"7xmPF5X77VQk","outputId":"f8e8331e-cde6-4413-f795-f0fe1a9cdd19"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 40 60 80]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n","Unique values in aggregate_fn: ['FedAvg']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"mjTmoV2M9YTk"},"source":["Concatenate the 2 dataframes, namely FLANDERS+f and baselines:"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"apvpT9Ve8wwv"},"outputs":[],"source":["mnist_df = pd.concat([results_flanders_df, results_no_flanders_df])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":424},"executionInfo":{"elapsed":5,"status":"ok","timestamp":1707513807441,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"aZuW73BW9Iu3","outputId":"3f558906-0d55-4ccd-e64f-5b62203ae746"},"outputs":[{"data":{"text/html":["\n","
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00720.2770980.10850.5048670000GAUSSMNIST0FLANDERSFedAvg
11675.0509400.45480.6994830000GAUSSMNIST0FLANDERSFedAvg
22647.6366430.52110.7358450000GAUSSMNIST0FLANDERSFedAvg
33614.4347950.56950.761650010000GAUSSMNIST0FLANDERSFedAvg
44584.1685070.60690.781741020000GAUSSMNIST0FLANDERSFedAvg
..........................................
397346292.8117450.74960.8612950000AGR-MMMNIST20MultiKrumFedAvg
397447289.7818840.75920.8668850000AGR-MMMNIST20MultiKrumFedAvg
397548287.8744360.76080.8679520000AGR-MMMNIST20MultiKrumFedAvg
397649288.8327780.74960.8615780000AGR-MMMNIST20MultiKrumFedAvg
397750290.4446540.74350.8580720000AGR-MMMNIST20MultiKrumFedAvg
\n","

8007 rows × 13 columns

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\n"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 720.277098 0.1085 0.504867 0 0 0 0 GAUSS \n","1 1 675.050940 0.4548 0.699483 0 0 0 0 GAUSS \n","2 2 647.636643 0.5211 0.735845 0 0 0 0 GAUSS \n","3 3 614.434795 0.5695 0.761650 0 100 0 0 GAUSS \n","4 4 584.168507 0.6069 0.781741 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3973 46 292.811745 0.7496 0.861295 0 0 0 0 AGR-MM \n","3974 47 289.781884 0.7592 0.866885 0 0 0 0 AGR-MM \n","3975 48 287.874436 0.7608 0.867952 0 0 0 0 AGR-MM \n","3976 49 288.832778 0.7496 0.861578 0 0 0 0 AGR-MM \n","3977 50 290.444654 0.7435 0.858072 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 MNIST 0 FLANDERS FedAvg \n","1 MNIST 0 FLANDERS FedAvg \n","2 MNIST 0 FLANDERS FedAvg \n","3 MNIST 0 FLANDERS FedAvg \n","4 MNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3973 MNIST 20 MultiKrum FedAvg \n","3974 MNIST 20 MultiKrum FedAvg \n","3975 MNIST 20 MultiKrum FedAvg \n","3976 MNIST 20 MultiKrum FedAvg \n","3977 MNIST 20 MultiKrum FedAvg \n","\n","[8007 rows x 13 columns]"]},"execution_count":54,"metadata":{},"output_type":"execute_result"}],"source":["mnist_df"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1707480685917,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"Ub0W-iA69LpR","outputId":"bfbcaf9e-575c-4d02-e9f0-0be7e74accb4"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80 40]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n"]}],"source":["print_unique_data(mnist_df)"]},{"cell_type":"markdown","metadata":{"id":"E3TZ_fJuTVuU"},"source":["## Fashion MNIST"]},{"cell_type":"markdown","metadata":{"id":"45GAIKG9Tmyb"},"source":["### Use this shortcut"]},{"cell_type":"code","execution_count":7,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":327,"status":"ok","timestamp":1716376732776,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"Qju5S7VmTpB_","outputId":"fbe0aed8-164c-4343-9949-e9fa7cc7f0a7"},"outputs":[{"data":{"text/html":["
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
0023082.3338130.06310.4795000000GAUSSFMNIST0FLANDERSFedAvg
1121920.1315610.19770.5542780000GAUSSFMNIST0FLANDERSFedAvg
2217859.0960200.42100.6783330000GAUSSFMNIST0FLANDERSFedAvg
3315559.0449260.49200.717778010000GAUSSFMNIST0FLANDERSFedAvg
4414684.1937220.50010.722278020000GAUSSFMNIST0FLANDERSFedAvg
..........................................
35654623279.5649070.10000.5000000000AGR-MMFMNIST80dncFedAvg
35664723290.9804420.10000.5000000000AGR-MMFMNIST80dncFedAvg
35674823302.2510220.10000.5000000000AGR-MMFMNIST80dncFedAvg
35684923312.5125960.10000.5000000000AGR-MMFMNIST80dncFedAvg
35695023326.1161770.10000.5000000000AGR-MMFMNIST80dncFedAvg
\n","

6884 rows × 13 columns

\n","
"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 23082.333813 0.0631 0.479500 0 0 0 0 GAUSS \n","1 1 21920.131561 0.1977 0.554278 0 0 0 0 GAUSS \n","2 2 17859.096020 0.4210 0.678333 0 0 0 0 GAUSS \n","3 3 15559.044926 0.4920 0.717778 0 100 0 0 GAUSS \n","4 4 14684.193722 0.5001 0.722278 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 23279.564907 0.1000 0.500000 0 0 0 0 AGR-MM \n","3566 47 23290.980442 0.1000 0.500000 0 0 0 0 AGR-MM \n","3567 48 23302.251022 0.1000 0.500000 0 0 0 0 AGR-MM \n","3568 49 23312.512596 0.1000 0.500000 0 0 0 0 AGR-MM \n","3569 50 23326.116177 0.1000 0.500000 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 FMNIST 0 FLANDERS FedAvg \n","1 FMNIST 0 FLANDERS FedAvg \n","2 FMNIST 0 FLANDERS FedAvg \n","3 FMNIST 0 FLANDERS FedAvg \n","4 FMNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 FMNIST 80 dnc FedAvg \n","3566 FMNIST 80 dnc FedAvg \n","3567 FMNIST 80 dnc FedAvg \n","3568 FMNIST 80 dnc FedAvg \n","3569 FMNIST 80 dnc FedAvg \n","\n","[6884 rows x 13 columns]"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["# CSV pre-processing FMNIST\n","results_flanders_file = results_dir + \"all_results_fmnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_fmnist_no_flanders.csv\"\n","results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)\n","results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","fmnist_df = pd.concat([results_flanders_df, results_no_flanders_df])\n","fmnist_df"]},{"cell_type":"code","execution_count":9,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1,"status":"ok","timestamp":1716047458204,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"08YXqMTZNpN6","outputId":"9de6cdc8-241e-4867-cd53-645434b99ce2"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['FMNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'dnc']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan']\n"]}],"source":["print_unique_data(fmnist_df)"]},{"cell_type":"markdown","metadata":{"id":"9vVX6wsxT-rc"},"source":["### Step-by-step processing"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"j0ZnLmVnUBT3"},"outputs":[],"source":["results_flanders_file = results_dir + \"all_results_fmnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_fmnist_no_flanders.csv\""]},{"cell_type":"code","execution_count":null,"metadata":{"id":"qsYaQiAWUBOw"},"outputs":[],"source":["results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":250,"status":"ok","timestamp":1709217712591,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"m1VKWq_jUHyY","outputId":"5bd5b442-4ab4-473d-bc60-b6f5fdc6320d"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['flanders']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate'\n"," 'flwr.server.strategy.aggregate.aggregate_trimmed_avg'\n"," 'flwr.server.strategy.aggregate.aggregate_median'\n"," 'flwr.server.strategy.aggregate.aggregate_krum'\n"," 'flwr.server.strategy.aggregate.aggregate_bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1709217720407,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"IxPT9D6DUJN3","outputId":"ded1f8b2-baf5-437b-abe3-25bad7a3c4ad"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['fedavg' 'trimmedmean' 'fedmedian' 'krum' 'bulyan' 'dnc']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"X8k98LNrUaLp"},"source":["Translate strings"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"zHNwpvZMUaLq"},"outputs":[],"source":["results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"9zMOOjCiUaLr"},"outputs":[],"source":["results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1709217802421,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"tygeoDz6UaLr","outputId":"2441a31a-ead0-4adf-8b95-73d75c6b3739"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['FLANDERS']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1709217803343,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"b8Xo1VseUaLr","outputId":"1fbb0a64-0695-4a89-eec1-e0a18ba54c40"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n","Unique values in aggregate_fn: ['FedAvg']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"zkmqmUTzUaLr"},"source":["Concatenate the 2 dataframes, namely FLANDERS+f and baselines:"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"m-wRVa9eUaLr"},"outputs":[],"source":["fmnist_df = pd.concat([results_flanders_df, results_no_flanders_df])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1709217813677,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"IhpjH5n1UaLs","outputId":"73f9a359-9f74-4e5e-b518-25af272b2207"},"outputs":[{"data":{"application/vnd.google.colaboratory.intrinsic+json":{"summary":"{\n \"name\": \"fmnist_df\",\n \"rows\": 7497,\n \"fields\": [\n {\n \"column\": \"round\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 14,\n \"min\": 0,\n \"max\": 50,\n \"num_unique_values\": 51,\n \"samples\": [\n 43,\n 40,\n 46\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"loss\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 5.098805154030721e+18,\n \"min\": 232.3792065680027,\n \"max\": 4.3645751884391645e+19,\n \"num_unique_values\": 7267,\n \"samples\": [\n 257.05002358555794,\n 303.2543874382973,\n 376.6231798529625\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"accuracy\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.2308533481360291,\n \"min\": 0.038,\n \"max\": 0.7626,\n \"num_unique_values\": 2608,\n \"samples\": [\n 0.3327,\n 0.4714,\n 0.5971\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"auc\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.12825186007557174,\n \"min\": 0.4655555555555556,\n \"max\": 0.8681111111111113,\n \"num_unique_values\": 3478,\n \"samples\": [\n 0.553,\n 0.8093333333333333,\n 0.7679999999999999\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"TP\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 944,\n \"min\": 0,\n \"max\": 3840,\n \"num_unique_values\": 292,\n \"samples\": [\n 1380,\n 165,\n 900\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"TN\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 943,\n \"min\": 0,\n \"max\": 4800,\n \"num_unique_values\": 439,\n \"samples\": [\n 195,\n 2960,\n 2584\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"FP\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 88,\n \"min\": 0,\n \"max\": 835,\n \"num_unique_values\": 259,\n \"samples\": [\n 333,\n 782,\n 156\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"FN\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 88,\n \"min\": 0,\n \"max\": 835,\n \"num_unique_values\": 259,\n \"samples\": [\n 333,\n 782,\n 156\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"attack_fn\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 4,\n \"samples\": [\n \"LIE\",\n \"AGR-MM\",\n \"GAUSS\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"dataset_name\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"fmnist\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"num_malicious\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 28,\n \"min\": 0,\n \"max\": 80,\n \"num_unique_values\": 4,\n \"samples\": [\n 20\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"strategy\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 7,\n \"samples\": [\n \"FLANDERS\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"aggregate_fn\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 6,\n \"samples\": [\n \"FedAvg\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}","type":"dataframe","variable_name":"fmnist_df"},"text/html":["\n","
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00722.5733350.09600.4977780000GAUSSfmnist0FLANDERSFedAvg
11679.1645870.22190.5677220000GAUSSfmnist0FLANDERSFedAvg
22559.4500050.45820.6990000000GAUSSfmnist0FLANDERSFedAvg
33473.0433670.53890.743833010000GAUSSfmnist0FLANDERSFedAvg
44438.4357100.56860.760333020000GAUSSfmnist0FLANDERSFedAvg
..........................................
356546729.7860360.10000.5000000000AGR-MMfmnist80DnCFedAvg
356647730.0917940.10000.5000000000AGR-MMfmnist80DnCFedAvg
356748730.4244920.10000.5000000000AGR-MMfmnist80DnCFedAvg
356849730.7109820.10000.5000000000AGR-MMfmnist80DnCFedAvg
356950731.0777110.10000.5000000000AGR-MMfmnist80DnCFedAvg
\n","

7497 rows × 13 columns

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\n"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 722.573335 0.0960 0.497778 0 0 0 0 GAUSS \n","1 1 679.164587 0.2219 0.567722 0 0 0 0 GAUSS \n","2 2 559.450005 0.4582 0.699000 0 0 0 0 GAUSS \n","3 3 473.043367 0.5389 0.743833 0 100 0 0 GAUSS \n","4 4 438.435710 0.5686 0.760333 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 729.786036 0.1000 0.500000 0 0 0 0 AGR-MM \n","3566 47 730.091794 0.1000 0.500000 0 0 0 0 AGR-MM \n","3567 48 730.424492 0.1000 0.500000 0 0 0 0 AGR-MM \n","3568 49 730.710982 0.1000 0.500000 0 0 0 0 AGR-MM \n","3569 50 731.077711 0.1000 0.500000 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 fmnist 0 FLANDERS FedAvg \n","1 fmnist 0 FLANDERS FedAvg \n","2 fmnist 0 FLANDERS FedAvg \n","3 fmnist 0 FLANDERS FedAvg \n","4 fmnist 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 fmnist 80 DnC FedAvg \n","3566 fmnist 80 DnC FedAvg \n","3567 fmnist 80 DnC FedAvg \n","3568 fmnist 80 DnC FedAvg \n","3569 fmnist 80 DnC FedAvg \n","\n","[7497 rows x 13 columns]"]},"execution_count":20,"metadata":{},"output_type":"execute_result"}],"source":["fmnist_df"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6,"status":"ok","timestamp":1709217818750,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"XYwnEFa2UaLs","outputId":"44dcb4de-f892-4555-b5d8-8cfcacd37137"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n"]}],"source":["print_unique_data(fmnist_df)"]},{"cell_type":"code","execution_count":20,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":249,"status":"ok","timestamp":1716376734931,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"VY5G4tF1yVHN","outputId":"cf11f084-16b5-45b2-e1ae-6d9455909720"},"outputs":[{"ename":"FileNotFoundError","evalue":"[Errno 2] No such file or directory: '../outputs/all_results_cifar_flanders.csv'","output_type":"error","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)","Cell \u001b[0;32mIn[20], line 4\u001b[0m\n\u001b[1;32m 2\u001b[0m results_flanders_file \u001b[38;5;241m=\u001b[39m results_dir \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mall_results_cifar_flanders.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 3\u001b[0m results_no_flanders_file \u001b[38;5;241m=\u001b[39m results_dir \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mall_results_cifar_no_flanders.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m----> 4\u001b[0m results_flanders_df \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_csv\u001b[49m\u001b[43m(\u001b[49m\u001b[43mresults_flanders_file\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 5\u001b[0m results_no_flanders_df \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mread_csv(results_no_flanders_file)\n\u001b[1;32m 6\u001b[0m results_flanders_df \u001b[38;5;241m=\u001b[39m translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:948\u001b[0m, in \u001b[0;36mread_csv\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend)\u001b[0m\n\u001b[1;32m 935\u001b[0m kwds_defaults \u001b[38;5;241m=\u001b[39m _refine_defaults_read(\n\u001b[1;32m 936\u001b[0m dialect,\n\u001b[1;32m 937\u001b[0m delimiter,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 944\u001b[0m dtype_backend\u001b[38;5;241m=\u001b[39mdtype_backend,\n\u001b[1;32m 945\u001b[0m )\n\u001b[1;32m 946\u001b[0m kwds\u001b[38;5;241m.\u001b[39mupdate(kwds_defaults)\n\u001b[0;32m--> 948\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_read\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:611\u001b[0m, in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m 608\u001b[0m _validate_names(kwds\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnames\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m))\n\u001b[1;32m 610\u001b[0m \u001b[38;5;66;03m# Create the parser.\u001b[39;00m\n\u001b[0;32m--> 611\u001b[0m parser \u001b[38;5;241m=\u001b[39m \u001b[43mTextFileReader\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 613\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m chunksize \u001b[38;5;129;01mor\u001b[39;00m iterator:\n\u001b[1;32m 614\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m parser\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:1448\u001b[0m, in \u001b[0;36mTextFileReader.__init__\u001b[0;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[1;32m 1445\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m kwds[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[1;32m 1447\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles: IOHandles \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m-> 1448\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_engine \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_make_engine\u001b[49m\u001b[43m(\u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mengine\u001b[49m\u001b[43m)\u001b[49m\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:1705\u001b[0m, in \u001b[0;36mTextFileReader._make_engine\u001b[0;34m(self, f, engine)\u001b[0m\n\u001b[1;32m 1703\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m mode:\n\u001b[1;32m 1704\u001b[0m mode \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m-> 1705\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;241m=\u001b[39m \u001b[43mget_handle\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1706\u001b[0m \u001b[43m \u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1707\u001b[0m \u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1708\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1709\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompression\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcompression\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1710\u001b[0m \u001b[43m \u001b[49m\u001b[43mmemory_map\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmemory_map\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1711\u001b[0m \u001b[43m \u001b[49m\u001b[43mis_text\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mis_text\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1712\u001b[0m \u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding_errors\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstrict\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1713\u001b[0m \u001b[43m \u001b[49m\u001b[43mstorage_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstorage_options\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1714\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1715\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 1716\u001b[0m f \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles\u001b[38;5;241m.\u001b[39mhandle\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/common.py:863\u001b[0m, in \u001b[0;36mget_handle\u001b[0;34m(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)\u001b[0m\n\u001b[1;32m 858\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(handle, \u001b[38;5;28mstr\u001b[39m):\n\u001b[1;32m 859\u001b[0m \u001b[38;5;66;03m# Check whether the filename is to be opened in binary mode.\u001b[39;00m\n\u001b[1;32m 860\u001b[0m \u001b[38;5;66;03m# Binary mode does not support 'encoding' and 'newline'.\u001b[39;00m\n\u001b[1;32m 861\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mencoding \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mmode:\n\u001b[1;32m 862\u001b[0m \u001b[38;5;66;03m# Encoding\u001b[39;00m\n\u001b[0;32m--> 863\u001b[0m handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\n\u001b[1;32m 864\u001b[0m \u001b[43m \u001b[49m\u001b[43mhandle\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 865\u001b[0m \u001b[43m \u001b[49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 866\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 867\u001b[0m \u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 868\u001b[0m \u001b[43m \u001b[49m\u001b[43mnewline\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 869\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 870\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 871\u001b[0m \u001b[38;5;66;03m# Binary mode\u001b[39;00m\n\u001b[1;32m 872\u001b[0m handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mopen\u001b[39m(handle, ioargs\u001b[38;5;241m.\u001b[39mmode)\n","\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '../outputs/all_results_cifar_flanders.csv'"]}],"source":["# CSV pre-processing CIFAR-10\n","results_flanders_file = results_dir + \"all_results_cifar_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_cifar_no_flanders.csv\"\n","results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)\n","results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","cifar_df = pd.concat([results_flanders_df, results_no_flanders_df])\n","cifar_df"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1716047460925,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"y7wfUI0eyeEp","outputId":"48c324d7-5816-406e-dd8a-284172967e90"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80 40]\n","Unique values in dataset_name: ['CIFAR-10']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'DnC' 'MultiKrum' 'Bulyan'\n"," 'FLDetector']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n"]}],"source":["print_unique_data(cifar_df)"]},{"cell_type":"markdown","metadata":{"id":"1TUxrAF6w6cY"},"source":["## Unify datasets"]},{"cell_type":"code","execution_count":10,"metadata":{"id":"R2wOP2Eex7X2"},"outputs":[],"source":["all_datasets_df = pd.concat([mnist_df, fmnist_df])"]},{"cell_type":"code","execution_count":11,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":428,"status":"ok","timestamp":1716376740426,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"jwDN17ygyFK7","outputId":"c3db739f-98b7-4070-f826-4344553e9ab7"},"outputs":[{"data":{"text/html":["
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00720.8331210.10450.5034220000GAUSSMNIST0FLANDERSFedAvg
11664.5222520.20890.5631160000GAUSSMNIST0FLANDERSFedAvg
22624.6338260.35600.6447310000GAUSSMNIST0FLANDERSFedAvg
33581.4764720.47730.710941010000GAUSSMNIST0FLANDERSFedAvg
44545.1142050.54300.746970020000GAUSSMNIST0FLANDERSFedAvg
..........................................
35654623279.5649070.10000.5000000000AGR-MMFMNIST80dncFedAvg
35664723290.9804420.10000.5000000000AGR-MMFMNIST80dncFedAvg
35674823302.2510220.10000.5000000000AGR-MMFMNIST80dncFedAvg
35684923312.5125960.10000.5000000000AGR-MMFMNIST80dncFedAvg
35695023326.1161770.10000.5000000000AGR-MMFMNIST80dncFedAvg
\n","

14432 rows × 13 columns

\n","
"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 720.833121 0.1045 0.503422 0 0 0 0 GAUSS \n","1 1 664.522252 0.2089 0.563116 0 0 0 0 GAUSS \n","2 2 624.633826 0.3560 0.644731 0 0 0 0 GAUSS \n","3 3 581.476472 0.4773 0.710941 0 100 0 0 GAUSS \n","4 4 545.114205 0.5430 0.746970 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 23279.564907 0.1000 0.500000 0 0 0 0 AGR-MM \n","3566 47 23290.980442 0.1000 0.500000 0 0 0 0 AGR-MM \n","3567 48 23302.251022 0.1000 0.500000 0 0 0 0 AGR-MM \n","3568 49 23312.512596 0.1000 0.500000 0 0 0 0 AGR-MM \n","3569 50 23326.116177 0.1000 0.500000 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 MNIST 0 FLANDERS FedAvg \n","1 MNIST 0 FLANDERS FedAvg \n","2 MNIST 0 FLANDERS FedAvg \n","3 MNIST 0 FLANDERS FedAvg \n","4 MNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 FMNIST 80 dnc FedAvg \n","3566 FMNIST 80 dnc FedAvg \n","3567 FMNIST 80 dnc FedAvg \n","3568 FMNIST 80 dnc FedAvg \n","3569 FMNIST 80 dnc FedAvg \n","\n","[14432 rows x 13 columns]"]},"execution_count":11,"metadata":{},"output_type":"execute_result"}],"source":["all_datasets_df"]},{"cell_type":"code","execution_count":12,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2,"status":"ok","timestamp":1716376741411,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"VWrdDPtPyHHA","outputId":"1ef8b853-63f8-4eac-a785-578684dbf0a6"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['MNIST' 'FMNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'dnc']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc']\n"]}],"source":["print_unique_data(all_datasets_df)"]},{"cell_type":"markdown","metadata":{"id":"OlES57TEn2Ng"},"source":["# Tables\n"]},{"cell_type":"markdown","metadata":{"id":"hcHkTXfGbapg"},"source":["## Accuracy"]},{"cell_type":"markdown","metadata":{"id":"7F1YDs12sZbE"},"source":["### Best with improvment w.r.t. baseline"]},{"cell_type":"code","execution_count":13,"metadata":{"id":"GuQM8bzXnIGx"},"outputs":[],"source":["def accuracy_table(input_df, b):\n"," # Define strategies and attacks\n"," strategies = ['FedAvg', 'FLANDERS + FedAvg', 'FedMedian', 'FLANDERS + FedMedian', 'TrimmedMean', 'FLANDERS + TrimmedMean', 'MultiKrum', 'FLANDERS + MultiKrum', 'Bulyan', 'FLANDERS + Bulyan']\n"," attacks = ['GAUSS', 'LIE', 'OPT', 'AGR-MM']\n"," dataset_names = [\"MNIST\", \"FMNIST\"]\n","\n"," # Create MultiIndex for the columns\n"," columns = pd.MultiIndex.from_product([dataset_names, attacks], names=['Dataset', 'Attack'])\n","\n"," # Create an empty DataFrame with the defined columns and strategies\n"," df = pd.DataFrame(index=strategies, columns=columns)\n","\n"," filtered_df = input_df[(input_df['num_malicious'] == b) & (input_df['round'] >= 3)]\n"," baseline_df = filtered_df[filtered_df['strategy'] != 'FLANDERS']\n"," flanders_df = filtered_df[filtered_df['strategy'] == 'FLANDERS']\n","\n"," # Populate the DataFrame\n"," for strategy in ['FedAvg', 'TrimmedMean', 'FedMedian', 'MultiKrum', 'Bulyan']:\n"," for dataset in dataset_names:\n"," for attack in attacks:\n"," df.loc[strategy, (dataset, attack)] = round(baseline_df[(baseline_df['strategy']==strategy) & (baseline_df['attack_fn']==attack) & (baseline_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n"," df.loc[f\"FLANDERS + {strategy}\", (dataset, attack)] = round(flanders_df[(flanders_df['aggregate_fn']==strategy) & (flanders_df['attack_fn']==attack) & (flanders_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n","\n"," return df\n"]},{"cell_type":"code","execution_count":30,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":457},"executionInfo":{"elapsed":1243,"status":"ok","timestamp":1715943873268,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"PruXJg2vA87b","outputId":"98d83851-626b-4877-fd09-8f2f01200c65"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSGAUSS
FedAvg0.860.68
FLANDERS + FedAvg0.840.64
FedMedian0.830.71
FLANDERS + FedMedian0.760.73
TrimmedMean0.850.69
FLANDERS + TrimmedMean0.780.7
MultiKrum0.680.66
FLANDERS + MultiKrum0.740.73
Bulyan0.860.62
FLANDERS + Bulyan0.870.65
\n","
"],"text/plain":["Dataset MNIST FMNIST\n","Attack GAUSS GAUSS\n","FedAvg 0.86 0.68\n","FLANDERS + FedAvg 0.84 0.64\n","FedMedian 0.83 0.71\n","FLANDERS + FedMedian 0.76 0.73\n","TrimmedMean 0.85 0.69\n","FLANDERS + TrimmedMean 0.78 0.7\n","MultiKrum 0.68 0.66\n","FLANDERS + MultiKrum 0.74 0.73\n","Bulyan 0.86 0.62\n","FLANDERS + Bulyan 0.87 0.65"]},"execution_count":30,"metadata":{},"output_type":"execute_result"}],"source":["# Table 19\n","acc_0 = accuracy_table(all_datasets_df, 0)\n","acc_0.dropna(axis=1, how='all')"]},{"cell_type":"code","execution_count":15,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":457},"executionInfo":{"elapsed":858,"status":"ok","timestamp":1715944158330,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"8bV7hABWbyMS","outputId":"6d24f87d-da15-40b2-8880-3b6dcefda1fd"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSLIEOPTAGR-MMGAUSSLIEOPTAGR-MM
FedAvg0.20.170.670.450.250.170.570.11
FLANDERS + FedAvg0.880.870.480.880.660.670.570.64
FedMedian0.80.660.790.590.660.650.670.6
FLANDERS + FedMedian0.850.850.660.830.710.690.630.73
TrimmedMean0.860.520.730.610.690.540.620.58
FLANDERS + TrimmedMean0.810.850.780.830.690.70.630.73
MultiKrum0.780.770.810.820.740.650.70.67
FLANDERS + MultiKrum0.820.860.840.820.730.70.730.71
Bulyan0.820.840.840.830.710.720.690.76
FLANDERS + Bulyan0.90.840.790.850.650.650.660.65
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","Attack GAUSS LIE OPT AGR-MM GAUSS LIE OPT AGR-MM\n","FedAvg 0.2 0.17 0.67 0.45 0.25 0.17 0.57 0.11\n","FLANDERS + FedAvg 0.88 0.87 0.48 0.88 0.66 0.67 0.57 0.64\n","FedMedian 0.8 0.66 0.79 0.59 0.66 0.65 0.67 0.6\n","FLANDERS + FedMedian 0.85 0.85 0.66 0.83 0.71 0.69 0.63 0.73\n","TrimmedMean 0.86 0.52 0.73 0.61 0.69 0.54 0.62 0.58\n","FLANDERS + TrimmedMean 0.81 0.85 0.78 0.83 0.69 0.7 0.63 0.73\n","MultiKrum 0.78 0.77 0.81 0.82 0.74 0.65 0.7 0.67\n","FLANDERS + MultiKrum 0.82 0.86 0.84 0.82 0.73 0.7 0.73 0.71\n","Bulyan 0.82 0.84 0.84 0.83 0.71 0.72 0.69 0.76\n","FLANDERS + Bulyan 0.9 0.84 0.79 0.85 0.65 0.65 0.66 0.65"]},"execution_count":15,"metadata":{},"output_type":"execute_result"}],"source":["# Table 15\n","acc_20 = accuracy_table(all_datasets_df, 20)\n","acc_20"]},{"cell_type":"code","execution_count":16,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1126,"status":"ok","timestamp":1716115710006,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"xSvgEwLoPmh3","outputId":"1c65e66e-7374-46f0-a2a5-0964bc40e49a"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSLIEOPTAGR-MMGAUSSLIEOPTAGR-MM
FedAvg0.190.150.20.160.280.10.190.1
FLANDERS + FedAvg0.760.880.850.850.690.670.710.67
FedMedian0.80.190.160.290.650.10.10.1
FLANDERS + FedMedian0.80.860.830.860.710.690.710.71
TrimmedMean0.250.20.330.10.330.10.170.1
FLANDERS + TrimmedMean0.780.870.840.830.70.710.730.74
MultiKrum0.790.140.220.150.710.10.120.1
FLANDERS + MultiKrum0.880.880.860.780.720.710.730.69
BulyanNaNNaNNaNNaNNaNNaNNaNNaN
FLANDERS + Bulyan0.890.870.90.850.680.640.60.69
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","Attack GAUSS LIE OPT AGR-MM GAUSS LIE OPT AGR-MM\n","FedAvg 0.19 0.15 0.2 0.16 0.28 0.1 0.19 0.1\n","FLANDERS + FedAvg 0.76 0.88 0.85 0.85 0.69 0.67 0.71 0.67\n","FedMedian 0.8 0.19 0.16 0.29 0.65 0.1 0.1 0.1\n","FLANDERS + FedMedian 0.8 0.86 0.83 0.86 0.71 0.69 0.71 0.71\n","TrimmedMean 0.25 0.2 0.33 0.1 0.33 0.1 0.17 0.1\n","FLANDERS + TrimmedMean 0.78 0.87 0.84 0.83 0.7 0.71 0.73 0.74\n","MultiKrum 0.79 0.14 0.22 0.15 0.71 0.1 0.12 0.1\n","FLANDERS + MultiKrum 0.88 0.88 0.86 0.78 0.72 0.71 0.73 0.69\n","Bulyan NaN NaN NaN NaN NaN NaN NaN NaN\n","FLANDERS + Bulyan 0.89 0.87 0.9 0.85 0.68 0.64 0.6 0.69"]},"execution_count":16,"metadata":{},"output_type":"execute_result"}],"source":["# Table 17\n","acc_60 = accuracy_table(all_datasets_df, 60)\n","acc_60"]},{"cell_type":"code","execution_count":17,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1188,"status":"ok","timestamp":1716050662469,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"dM_AMm_jcCye","outputId":"90533ef1-500f-40a3-f565-2c2ca1d68aaa"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSLIEOPTAGR-MMGAUSSLIEOPTAGR-MM
FedAvg0.210.160.310.130.240.10.180.1
FLANDERS + FedAvg0.850.860.880.850.690.70.690.66
FedMedian0.340.170.140.090.30.10.140.1
FLANDERS + FedMedian0.870.840.80.80.730.740.720.72
TrimmedMean0.170.150.210.140.210.10.120.1
FLANDERS + TrimmedMean0.810.850.810.820.740.730.70.69
MultiKrum0.820.210.320.110.720.10.150.1
FLANDERS + MultiKrum0.870.830.870.850.680.730.720.7
BulyanNaNNaNNaNNaNNaNNaNNaNNaN
FLANDERS + Bulyan0.840.840.830.80.690.720.690.68
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","Attack GAUSS LIE OPT AGR-MM GAUSS LIE OPT AGR-MM\n","FedAvg 0.21 0.16 0.31 0.13 0.24 0.1 0.18 0.1\n","FLANDERS + FedAvg 0.85 0.86 0.88 0.85 0.69 0.7 0.69 0.66\n","FedMedian 0.34 0.17 0.14 0.09 0.3 0.1 0.14 0.1\n","FLANDERS + FedMedian 0.87 0.84 0.8 0.8 0.73 0.74 0.72 0.72\n","TrimmedMean 0.17 0.15 0.21 0.14 0.21 0.1 0.12 0.1\n","FLANDERS + TrimmedMean 0.81 0.85 0.81 0.82 0.74 0.73 0.7 0.69\n","MultiKrum 0.82 0.21 0.32 0.11 0.72 0.1 0.15 0.1\n","FLANDERS + MultiKrum 0.87 0.83 0.87 0.85 0.68 0.73 0.72 0.7\n","Bulyan NaN NaN NaN NaN NaN NaN NaN NaN\n","FLANDERS + Bulyan 0.84 0.84 0.83 0.8 0.69 0.72 0.69 0.68"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["# Table 3\n","acc_80 = accuracy_table(all_datasets_df, 80)\n","acc_80"]},{"cell_type":"markdown","metadata":{"id":"CZX8c37MsgFL"},"source":["### Best w.r.t. number of attackers"]},{"cell_type":"code","execution_count":18,"metadata":{"id":"xgIKM1obsmd2"},"outputs":[],"source":["def accuracy_table_attackers(input_df, aggregate_fn):\n"," # Define strategies and attacks\n"," attacks = ['GAUSS', 'LIE', 'OPT', 'AGR-MM']\n"," dataset_names = [\"MNIST\", \"FMNIST\"]\n"," num_malicious = [0, 20, 60, 80]\n","\n"," # Create MultiIndex for the columns\n"," columns = pd.MultiIndex.from_product([dataset_names, num_malicious], names=['Dataset', '# Malicious'])\n","\n"," #######\n"," #columns = pd.MultiIndex.from_product([['MNIST', 'CIFAR-10'], ['GAUSS', 'LIE', 'OPT', 'AGR-MM'], ['LAST', 'BEST']])\n"," #######\n","\n","\n"," # Create an empty DataFrame with the defined columns and strategies\n"," df = pd.DataFrame(index=attacks, columns=columns)\n","\n"," filtered_df = input_df[(input_df['aggregate_fn'] == aggregate_fn) & (input_df['round'] >= 3)]\n"," baseline_df = filtered_df[filtered_df['strategy'] != 'FLANDERS']\n"," flanders_df = filtered_df[filtered_df['strategy'] == 'FLANDERS']\n","\n"," # Populate the DataFrame\n"," for dataset in dataset_names:\n"," for attack in attacks:\n"," for b in num_malicious:\n"," if b == 0:\n"," df.loc[attack, (dataset, b)] = round(flanders_df[(flanders_df['num_malicious']==b) & (flanders_df['attack_fn']=='GAUSS') & (flanders_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n"," else:\n"," df.loc[attack, (dataset, b)] = round(flanders_df[(flanders_df['num_malicious']==b) & (flanders_df['attack_fn']==attack) & (flanders_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n","\n"," return df"]},{"cell_type":"code","execution_count":19,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"executionInfo":{"elapsed":305,"status":"ok","timestamp":1715954054792,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"0n9vhQiQuxk_","outputId":"500dfb31-f525-4289-f337-2c945bf50cd2"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
# Malicious02060800206080
GAUSS0.740.820.880.870.730.730.720.68
LIE0.740.860.880.830.730.70.710.73
OPT0.740.840.860.870.730.730.730.72
AGR-MM0.740.820.780.850.730.710.690.7
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","# Malicious 0 20 60 80 0 20 60 80\n","GAUSS 0.74 0.82 0.88 0.87 0.73 0.73 0.72 0.68\n","LIE 0.74 0.86 0.88 0.83 0.73 0.7 0.71 0.73\n","OPT 0.74 0.84 0.86 0.87 0.73 0.73 0.73 0.72\n","AGR-MM 0.74 0.82 0.78 0.85 0.73 0.71 0.69 0.7"]},"execution_count":19,"metadata":{},"output_type":"execute_result"}],"source":["# Table 20\n","acc_att = accuracy_table_attackers(all_datasets_df, 'MultiKrum')\n","acc_att"]},{"cell_type":"markdown","metadata":{"id":"g6yDorrubUw1"},"source":["## Precision and Recall"]},{"cell_type":"code","execution_count":22,"metadata":{"id":"y0PlDlG0bKek"},"outputs":[],"source":["def pr_table(input_df, b):\n"," strategies = ['FLANDERS']\n"," attacks = ['GAUSS', 'LIE', 'OPT', 'AGR-MM']\n"," dataset_names = [\"MNIST\", \"FMNIST\"]\n","\n"," # Create MultiIndex for the columns\n"," columns = pd.MultiIndex.from_product([strategies, attacks, ['P', 'R']], names=['Strategy', 'Attack', 'P/R'])\n","\n"," # Create an empty DataFrame with the defined columns and strategies\n"," df = pd.DataFrame(index=dataset_names, columns=columns)\n","\n"," filtered_df = input_df[(input_df['num_malicious'] == b) & (input_df['round'] == 50) & (input_df['aggregate_fn']=='FedAvg')]\n"," flanders_df = filtered_df[filtered_df['strategy'] == 'FLANDERS']\n"," strat_dfs = [flanders_df]\n","\n"," # Populate the DataFrame\n"," for dataset in dataset_names:\n"," for attack in attacks:\n"," for idx, strategy in enumerate(strategies):\n"," tp = strat_dfs[idx][(strat_dfs[idx]['attack_fn']==attack) & (strat_dfs[idx]['dataset_name']==dataset)]['TP'].iloc[0]\n"," fp = strat_dfs[idx][(strat_dfs[idx]['attack_fn']==attack) & (strat_dfs[idx]['dataset_name']==dataset)]['FP'].iloc[0]\n"," fn = strat_dfs[idx][(strat_dfs[idx]['attack_fn']==attack) & (strat_dfs[idx]['dataset_name']==dataset)]['FN'].iloc[0]\n"," df.loc[dataset, (strategy, attack, 'P')] = round(tp / (tp+fp), 2)\n"," df.loc[dataset, (strategy, attack, 'R')] = round(tp / (tp+fn), 2)\n","\n"," return df"]},{"cell_type":"code","execution_count":23,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":257},"executionInfo":{"elapsed":248,"status":"ok","timestamp":1716367268457,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"rpQyziNRh3dn","outputId":"26e2c0f9-144d-4cad-d13f-1e2351aa2081"},"outputs":[{"data":{"text/html":["
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StrategyFLANDERS
AttackGAUSSLIEOPTAGR-MM
P/RPRPRPRPR
MNIST1.01.01.01.00.150.151.01.0
FMNIST1.01.01.01.00.160.161.01.0
\n","
"],"text/plain":["Strategy FLANDERS \n","Attack GAUSS LIE OPT AGR-MM \n","P/R P R P R P R P R\n","MNIST 1.0 1.0 1.0 1.0 0.15 0.15 1.0 1.0\n","FMNIST 1.0 1.0 1.0 1.0 0.16 0.16 1.0 1.0"]},"execution_count":23,"metadata":{},"output_type":"execute_result"}],"source":["# Table 1\n","pr_20 = pr_table(all_datasets_df, 20)\n","pr_20"]},{"cell_type":"code","execution_count":24,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":257},"executionInfo":{"elapsed":327,"status":"ok","timestamp":1716367273542,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"ccW0Ups3iMvZ","outputId":"ba945e17-1bbe-414f-9aa0-b03fb0fe107f"},"outputs":[{"data":{"text/html":["
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StrategyFLANDERS
AttackGAUSSLIEOPTAGR-MM
P/RPRPRPRPR
MNIST1.01.01.01.01.01.01.01.0
FMNIST1.01.01.01.01.01.01.01.0
\n","
"],"text/plain":["Strategy FLANDERS \n","Attack GAUSS LIE OPT AGR-MM \n","P/R P R P R P R P R\n","MNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0\n","FMNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0"]},"execution_count":24,"metadata":{},"output_type":"execute_result"}],"source":["# Table 2\n","pr_60 = pr_table(all_datasets_df, 60)\n","pr_60"]},{"cell_type":"code","execution_count":25,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":257},"executionInfo":{"elapsed":308,"status":"ok","timestamp":1716376750779,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"05a0Gv5piS2v","outputId":"0cf6555a-4cc8-4aa5-f9b6-c8286afa130a"},"outputs":[{"data":{"text/html":["
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StrategyFLANDERS
AttackGAUSSLIEOPTAGR-MM
P/RPRPRPRPR
MNIST1.01.01.01.01.01.01.01.0
FMNIST1.01.01.01.01.01.01.01.0
\n","
"],"text/plain":["Strategy FLANDERS \n","Attack GAUSS LIE OPT AGR-MM \n","P/R P R P R P R P R\n","MNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0\n","FMNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0"]},"execution_count":25,"metadata":{},"output_type":"execute_result"}],"source":["# Table 3\n","pr_80 = pr_table(all_datasets_df, 80)\n","pr_80"]},{"cell_type":"markdown","metadata":{"id":"bN7dTn2u0r6K"},"source":["# Plots"]},{"cell_type":"markdown","metadata":{"id":"xZ0wiadBsVUh"},"source":["## Accuracy over rounds"]},{"cell_type":"code","execution_count":26,"metadata":{"id":"LQ_uYJCtjdJS"},"outputs":[],"source":["df_mnist_acc_flanders = all_datasets_df[(all_datasets_df['strategy']=='FLANDERS') & (all_datasets_df['num_malicious']==80) & (all_datasets_df['dataset_name']=='MNIST') & (all_datasets_df['aggregate_fn']=='MultiKrum')]\n","df_mnist_acc_fedavg = all_datasets_df[(all_datasets_df['strategy']=='FedAvg') & (all_datasets_df['num_malicious']==80) & (all_datasets_df['dataset_name']=='MNIST')]\n","df_no_attack = all_datasets_df[(all_datasets_df['strategy']=='FedAvg') & (all_datasets_df['num_malicious']==0) & (all_datasets_df['dataset_name']=='MNIST')]"]},{"cell_type":"code","execution_count":27,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":408},"executionInfo":{"elapsed":651,"status":"ok","timestamp":1714668544212,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"NDkD_Qnd1iT7","outputId":"928cfa90-04a2-4624-9825-adb0d124aaf8"},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["# Figure 3\n","num_plots = 2\n","plt.style.use('default')\n","fig, axs = plt.subplots(1, num_plots, figsize=(11, 4))\n","\n","data = [df_mnist_acc_flanders, df_mnist_acc_fedavg]\n","\n","for i in range(num_plots):\n"," if i == 0:\n"," acc = df_no_attack[df_no_attack[\"attack_fn\"]=='GAUSS']['accuracy'].to_list()\n"," axs[i].plot(acc, label=\"No Attack\", linestyle='--', color='slategray')\n"," for attack in ['GAUSS', 'LIE', 'OPT', 'AGR-MM']:\n"," acc = data[i][data[i]['attack_fn']==attack]['accuracy'].to_list()\n"," x = [i for i in range(len(data))]\n"," axs[i].plot(acc, label=attack)\n"," axs[i].set_ylim((0,1.0))\n"," axs[i].set_xlabel('Round', fontsize=16)\n"," axs[i].set_ylabel('Accuracy', fontsize=16)\n"," axs[i].legend(prop={'size': 12})\n"," axs[i].tick_params(axis='both', which='major', labelsize=16)\n"," axs[i].tick_params(axis='both', which='minor', labelsize=16)\n","\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":[]}],"metadata":{"colab":{"authorship_tag":"ABX9TyODCHCYl18UhHkKwq6LlRvG","collapsed_sections":["P_3Z05w0wvNB","dE_uqUeuyl6M","9vVX6wsxT-rc","RctMDJMZyPq2","R9VNz7Cv9RHn","6V4padUiYeac","pZ863s6JJbph","EJDtdXqLJX0H"],"provenance":[]},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.9.18"}},"nbformat":4,"nbformat_minor":0} +{"cells":[{"cell_type":"markdown","metadata":{"id":"Cg37xeuu7Xy5"},"source":["# Preliminaries"]},{"cell_type":"code","execution_count":1,"metadata":{"id":"J_Dh3sGVyb2w"},"outputs":[],"source":["import pandas as pd\n","from natsort import natsorted\n","import matplotlib.pyplot as plt"]},{"cell_type":"code","execution_count":2,"metadata":{"id":"FjlCyr_B8OdT"},"outputs":[],"source":["results_dir = \"../outputs/\""]},{"cell_type":"markdown","metadata":{"id":"VX2oCpZf7Z7y"},"source":["# Prepare data"]},{"cell_type":"markdown","metadata":{"id":"P_3Z05w0wvNB"},"source":["## Utils"]},{"cell_type":"code","execution_count":3,"metadata":{"id":"fZSDCuT497HV"},"outputs":[],"source":["def print_unique_data(results_df):\n"," for col in [\"attack_fn\", \"num_malicious\", \"dataset_name\", \"strategy\", \"aggregate_fn\"]:\n"," print(f\"Unique values in {col}: {results_df[col].unique()}\")"]},{"cell_type":"code","execution_count":4,"metadata":{"id":"8GcIZNuu8q5Y"},"outputs":[],"source":["def translate_cols(df, attack_dict, dataset_dict, strategy_dict, aggregate_dict):\n"," column_names = [\"attack_fn\", \"dataset_name\", \"strategy\", \"aggregate_fn\"]\n"," for idx, d in enumerate([attack_dict, dataset_dict, strategy_dict, aggregate_dict]):\n"," df[column_names[idx]] = df[column_names[idx]].replace(d)\n"," return df"]},{"cell_type":"code","execution_count":5,"metadata":{"id":"oHcF2pl8sdOG"},"outputs":[],"source":["attack_dict = {\n"," \"gaussian\": \"GAUSS\",\n"," \"lie\": \"LIE\",\n"," \"fang\": \"OPT\",\n"," \"minmax\": \"AGR-MM\",\n"," \"adaptive\": \"MAR-ATK\"\n","}\n","\n","dataset_dict = {\n"," \"mnist\": \"MNIST\",\n"," \"fmnist\": \"FMNIST\",\n"," \"cifar\": \"CIFAR-10\",\n"," \"cifar100\": \"CIFAR-100\"\n","}\n","\n","strategy_dict = {\n"," \"flanders\": \"FLANDERS\",\n"," \"fedavg\": \"FedAvg\",\n"," \"fedmedian\": \"FedMedian\",\n"," \"trimmedmean\": \"TrimmedMean\",\n"," \"bulyan\": \"Bulyan\",\n"," \"krum\": \"MultiKrum\",\n"," \"fldetector\": \"FLDetector\"\n","}\n","\n","aggregate_dict = {\n"," \"flwr.server.strategy.aggregate.aggregate\": \"FedAvg\",\n"," \"flwr.server.strategy.aggregate.aggregate_median\": \"FedMedian\",\n"," \"flwr.server.strategy.aggregate.aggregate_trimmed_avg\": \"TrimmedMean\",\n"," \"flwr.server.strategy.aggregate.aggregate_bulyan\": \"Bulyan\",\n"," \"flwr.server.strategy.aggregate.aggregate_krum\": \"MultiKrum\"\n","}"]},{"cell_type":"markdown","metadata":{"id":"y0XCCkuhwydB"},"source":["## MNIST"]},{"cell_type":"markdown","metadata":{"id":"NG2-2cpnyjkY"},"source":["### Use this shortcut"]},{"cell_type":"code","execution_count":6,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":244,"status":"ok","timestamp":1716376729975,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"lY85nEb6yrXu","outputId":"5439a3bc-684f-492f-b615-53e2252cd94c"},"outputs":[{"data":{"text/html":["
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00720.8331210.10450.5034220000GAUSSMNIST0FLANDERSFedAvg
11664.5222520.20890.5631160000GAUSSMNIST0FLANDERSFedAvg
22624.6338260.35600.6447310000GAUSSMNIST0FLANDERSFedAvg
33581.4764720.47730.710941010000GAUSSMNIST0FLANDERSFedAvg
44545.1142050.54300.746970020000GAUSSMNIST0FLANDERSFedAvg
..........................................
356546724.2817250.10250.5004790000AGR-MMMNIST80dncFedAvg
356647724.3501380.10240.5004210000AGR-MMMNIST80dncFedAvg
356748724.5352630.10250.5004790000AGR-MMMNIST80dncFedAvg
356849724.5888810.10280.5005980000AGR-MMMNIST80dncFedAvg
356950724.7838510.10280.5006020000AGR-MMMNIST80dncFedAvg
\n","

7548 rows × 13 columns

\n","
"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 720.833121 0.1045 0.503422 0 0 0 0 GAUSS \n","1 1 664.522252 0.2089 0.563116 0 0 0 0 GAUSS \n","2 2 624.633826 0.3560 0.644731 0 0 0 0 GAUSS \n","3 3 581.476472 0.4773 0.710941 0 100 0 0 GAUSS \n","4 4 545.114205 0.5430 0.746970 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 724.281725 0.1025 0.500479 0 0 0 0 AGR-MM \n","3566 47 724.350138 0.1024 0.500421 0 0 0 0 AGR-MM \n","3567 48 724.535263 0.1025 0.500479 0 0 0 0 AGR-MM \n","3568 49 724.588881 0.1028 0.500598 0 0 0 0 AGR-MM \n","3569 50 724.783851 0.1028 0.500602 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 MNIST 0 FLANDERS FedAvg \n","1 MNIST 0 FLANDERS FedAvg \n","2 MNIST 0 FLANDERS FedAvg \n","3 MNIST 0 FLANDERS FedAvg \n","4 MNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 MNIST 80 dnc FedAvg \n","3566 MNIST 80 dnc FedAvg \n","3567 MNIST 80 dnc FedAvg \n","3568 MNIST 80 dnc FedAvg \n","3569 MNIST 80 dnc FedAvg \n","\n","[7548 rows x 13 columns]"]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["# CSV pre-processing MNIST\n","results_flanders_file = results_dir + \"all_results_mnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_mnist_no_flanders.csv\"\n","results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)\n","results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","mnist_df = pd.concat([results_flanders_df, results_no_flanders_df])\n","mnist_df"]},{"cell_type":"code","execution_count":7,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":9,"status":"ok","timestamp":1716115669854,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"hg3ysnqiNrms","outputId":"bae8ab71-ce7b-409a-b154-6ad42f9dfc3b"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'dnc']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc']\n"]}],"source":["print_unique_data(mnist_df)"]},{"cell_type":"markdown","metadata":{"id":"dE_uqUeuyl6M"},"source":["### Step-by-step processing"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"R9Cpe8bF8a2z"},"outputs":[],"source":["results_flanders_file = results_dir + \"all_results_mnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_mnist_no_flanders.csv\""]},{"cell_type":"code","execution_count":null,"metadata":{"id":"8nPsIraZ7nJK"},"outputs":[],"source":["results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1707513800371,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"oC_C6WVMshle","outputId":"20708ffb-24d9-4d94-fc83-6ab93c8d4ed0"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['mnist']\n","Unique values in strategy: ['flanders']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate'\n"," 'flwr.server.strategy.aggregate.aggregate_trimmed_avg'\n"," 'flwr.server.strategy.aggregate.aggregate_median'\n"," 'flwr.server.strategy.aggregate.aggregate_bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc'\n"," 'flwr.server.strategy.aggregate.aggregate_krum']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":423,"status":"ok","timestamp":1707478795736,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"2xSStl9-52cc","outputId":"391a3d7c-c4b5-486c-85a2-97d9a5ddb30d"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 40 60 80]\n","Unique values in dataset_name: ['mnist']\n","Unique values in strategy: ['fedavg' 'trimmedmean' 'fedmedian' 'bulyan' 'dnc' 'krum']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"8dEepZY28raZ"},"source":["Translate strings"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"zNPGc6YJ7E_J"},"outputs":[],"source":["results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"AQaNnF1K7TQc"},"outputs":[],"source":["results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":393,"status":"ok","timestamp":1707478246670,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"MXYnAzh8V-9t","outputId":"8f09ab5c-cd3e-4627-9f76-5f474ec09227"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FLANDERS']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":8,"status":"ok","timestamp":1707472989224,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"7xmPF5X77VQk","outputId":"f8e8331e-cde6-4413-f795-f0fe1a9cdd19"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 40 60 80]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n","Unique values in aggregate_fn: ['FedAvg']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"mjTmoV2M9YTk"},"source":["Concatenate the 2 dataframes, namely FLANDERS+f and baselines:"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"apvpT9Ve8wwv"},"outputs":[],"source":["mnist_df = pd.concat([results_flanders_df, results_no_flanders_df])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":424},"executionInfo":{"elapsed":5,"status":"ok","timestamp":1707513807441,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"aZuW73BW9Iu3","outputId":"3f558906-0d55-4ccd-e64f-5b62203ae746"},"outputs":[{"data":{"text/html":["\n","
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00720.2770980.10850.5048670000GAUSSMNIST0FLANDERSFedAvg
11675.0509400.45480.6994830000GAUSSMNIST0FLANDERSFedAvg
22647.6366430.52110.7358450000GAUSSMNIST0FLANDERSFedAvg
33614.4347950.56950.761650010000GAUSSMNIST0FLANDERSFedAvg
44584.1685070.60690.781741020000GAUSSMNIST0FLANDERSFedAvg
..........................................
397346292.8117450.74960.8612950000AGR-MMMNIST20MultiKrumFedAvg
397447289.7818840.75920.8668850000AGR-MMMNIST20MultiKrumFedAvg
397548287.8744360.76080.8679520000AGR-MMMNIST20MultiKrumFedAvg
397649288.8327780.74960.8615780000AGR-MMMNIST20MultiKrumFedAvg
397750290.4446540.74350.8580720000AGR-MMMNIST20MultiKrumFedAvg
\n","

8007 rows × 13 columns

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\n"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 720.277098 0.1085 0.504867 0 0 0 0 GAUSS \n","1 1 675.050940 0.4548 0.699483 0 0 0 0 GAUSS \n","2 2 647.636643 0.5211 0.735845 0 0 0 0 GAUSS \n","3 3 614.434795 0.5695 0.761650 0 100 0 0 GAUSS \n","4 4 584.168507 0.6069 0.781741 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3973 46 292.811745 0.7496 0.861295 0 0 0 0 AGR-MM \n","3974 47 289.781884 0.7592 0.866885 0 0 0 0 AGR-MM \n","3975 48 287.874436 0.7608 0.867952 0 0 0 0 AGR-MM \n","3976 49 288.832778 0.7496 0.861578 0 0 0 0 AGR-MM \n","3977 50 290.444654 0.7435 0.858072 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 MNIST 0 FLANDERS FedAvg \n","1 MNIST 0 FLANDERS FedAvg \n","2 MNIST 0 FLANDERS FedAvg \n","3 MNIST 0 FLANDERS FedAvg \n","4 MNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3973 MNIST 20 MultiKrum FedAvg \n","3974 MNIST 20 MultiKrum FedAvg \n","3975 MNIST 20 MultiKrum FedAvg \n","3976 MNIST 20 MultiKrum FedAvg \n","3977 MNIST 20 MultiKrum FedAvg \n","\n","[8007 rows x 13 columns]"]},"execution_count":54,"metadata":{},"output_type":"execute_result"}],"source":["mnist_df"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1707480685917,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"Ub0W-iA69LpR","outputId":"bfbcaf9e-575c-4d02-e9f0-0be7e74accb4"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80 40]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n"]}],"source":["print_unique_data(mnist_df)"]},{"cell_type":"markdown","metadata":{"id":"E3TZ_fJuTVuU"},"source":["## Fashion MNIST"]},{"cell_type":"markdown","metadata":{"id":"45GAIKG9Tmyb"},"source":["### Use this shortcut"]},{"cell_type":"code","execution_count":8,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":327,"status":"ok","timestamp":1716376732776,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"Qju5S7VmTpB_","outputId":"fbe0aed8-164c-4343-9949-e9fa7cc7f0a7"},"outputs":[{"data":{"text/html":["
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
0023082.3338130.06310.4795000000GAUSSFMNIST0FLANDERSFedAvg
1121920.1315610.19770.5542780000GAUSSFMNIST0FLANDERSFedAvg
2217859.0960200.42100.6783330000GAUSSFMNIST0FLANDERSFedAvg
3315559.0449260.49200.717778010000GAUSSFMNIST0FLANDERSFedAvg
4414684.1937220.50010.722278020000GAUSSFMNIST0FLANDERSFedAvg
..........................................
35654623279.5649070.10000.5000000000AGR-MMFMNIST80dncFedAvg
35664723290.9804420.10000.5000000000AGR-MMFMNIST80dncFedAvg
35674823302.2510220.10000.5000000000AGR-MMFMNIST80dncFedAvg
35684923312.5125960.10000.5000000000AGR-MMFMNIST80dncFedAvg
35695023326.1161770.10000.5000000000AGR-MMFMNIST80dncFedAvg
\n","

6884 rows × 13 columns

\n","
"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 23082.333813 0.0631 0.479500 0 0 0 0 GAUSS \n","1 1 21920.131561 0.1977 0.554278 0 0 0 0 GAUSS \n","2 2 17859.096020 0.4210 0.678333 0 0 0 0 GAUSS \n","3 3 15559.044926 0.4920 0.717778 0 100 0 0 GAUSS \n","4 4 14684.193722 0.5001 0.722278 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 23279.564907 0.1000 0.500000 0 0 0 0 AGR-MM \n","3566 47 23290.980442 0.1000 0.500000 0 0 0 0 AGR-MM \n","3567 48 23302.251022 0.1000 0.500000 0 0 0 0 AGR-MM \n","3568 49 23312.512596 0.1000 0.500000 0 0 0 0 AGR-MM \n","3569 50 23326.116177 0.1000 0.500000 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 FMNIST 0 FLANDERS FedAvg \n","1 FMNIST 0 FLANDERS FedAvg \n","2 FMNIST 0 FLANDERS FedAvg \n","3 FMNIST 0 FLANDERS FedAvg \n","4 FMNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 FMNIST 80 dnc FedAvg \n","3566 FMNIST 80 dnc FedAvg \n","3567 FMNIST 80 dnc FedAvg \n","3568 FMNIST 80 dnc FedAvg \n","3569 FMNIST 80 dnc FedAvg \n","\n","[6884 rows x 13 columns]"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["# CSV pre-processing FMNIST\n","results_flanders_file = results_dir + \"all_results_fmnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_fmnist_no_flanders.csv\"\n","results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)\n","results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","fmnist_df = pd.concat([results_flanders_df, results_no_flanders_df])\n","fmnist_df"]},{"cell_type":"code","execution_count":9,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1,"status":"ok","timestamp":1716047458204,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"08YXqMTZNpN6","outputId":"9de6cdc8-241e-4867-cd53-645434b99ce2"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['FMNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'dnc']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan']\n"]}],"source":["print_unique_data(fmnist_df)"]},{"cell_type":"markdown","metadata":{"id":"9vVX6wsxT-rc"},"source":["### Step-by-step processing"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"j0ZnLmVnUBT3"},"outputs":[],"source":["results_flanders_file = results_dir + \"all_results_fmnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_fmnist_no_flanders.csv\""]},{"cell_type":"code","execution_count":null,"metadata":{"id":"qsYaQiAWUBOw"},"outputs":[],"source":["results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":250,"status":"ok","timestamp":1709217712591,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"m1VKWq_jUHyY","outputId":"5bd5b442-4ab4-473d-bc60-b6f5fdc6320d"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['flanders']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate'\n"," 'flwr.server.strategy.aggregate.aggregate_trimmed_avg'\n"," 'flwr.server.strategy.aggregate.aggregate_median'\n"," 'flwr.server.strategy.aggregate.aggregate_krum'\n"," 'flwr.server.strategy.aggregate.aggregate_bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1709217720407,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"IxPT9D6DUJN3","outputId":"ded1f8b2-baf5-437b-abe3-25bad7a3c4ad"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['fedavg' 'trimmedmean' 'fedmedian' 'krum' 'bulyan' 'dnc']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"X8k98LNrUaLp"},"source":["Translate strings"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"zHNwpvZMUaLq"},"outputs":[],"source":["results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"9zMOOjCiUaLr"},"outputs":[],"source":["results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1709217802421,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"tygeoDz6UaLr","outputId":"2441a31a-ead0-4adf-8b95-73d75c6b3739"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['FLANDERS']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1709217803343,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"b8Xo1VseUaLr","outputId":"1fbb0a64-0695-4a89-eec1-e0a18ba54c40"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n","Unique values in aggregate_fn: ['FedAvg']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"zkmqmUTzUaLr"},"source":["Concatenate the 2 dataframes, namely FLANDERS+f and baselines:"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"m-wRVa9eUaLr"},"outputs":[],"source":["fmnist_df = pd.concat([results_flanders_df, results_no_flanders_df])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1709217813677,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"IhpjH5n1UaLs","outputId":"73f9a359-9f74-4e5e-b518-25af272b2207"},"outputs":[{"data":{"application/vnd.google.colaboratory.intrinsic+json":{"summary":"{\n \"name\": \"fmnist_df\",\n \"rows\": 7497,\n \"fields\": [\n {\n \"column\": \"round\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 14,\n \"min\": 0,\n \"max\": 50,\n \"num_unique_values\": 51,\n \"samples\": [\n 43,\n 40,\n 46\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"loss\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 5.098805154030721e+18,\n \"min\": 232.3792065680027,\n \"max\": 4.3645751884391645e+19,\n \"num_unique_values\": 7267,\n \"samples\": [\n 257.05002358555794,\n 303.2543874382973,\n 376.6231798529625\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"accuracy\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.2308533481360291,\n \"min\": 0.038,\n \"max\": 0.7626,\n \"num_unique_values\": 2608,\n \"samples\": [\n 0.3327,\n 0.4714,\n 0.5971\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"auc\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.12825186007557174,\n \"min\": 0.4655555555555556,\n \"max\": 0.8681111111111113,\n \"num_unique_values\": 3478,\n \"samples\": [\n 0.553,\n 0.8093333333333333,\n 0.7679999999999999\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"TP\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 944,\n \"min\": 0,\n \"max\": 3840,\n \"num_unique_values\": 292,\n \"samples\": [\n 1380,\n 165,\n 900\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"TN\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 943,\n \"min\": 0,\n \"max\": 4800,\n \"num_unique_values\": 439,\n \"samples\": [\n 195,\n 2960,\n 2584\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"FP\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 88,\n \"min\": 0,\n \"max\": 835,\n \"num_unique_values\": 259,\n \"samples\": [\n 333,\n 782,\n 156\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"FN\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 88,\n \"min\": 0,\n \"max\": 835,\n \"num_unique_values\": 259,\n \"samples\": [\n 333,\n 782,\n 156\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"attack_fn\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 4,\n \"samples\": [\n \"LIE\",\n \"AGR-MM\",\n \"GAUSS\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"dataset_name\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"fmnist\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"num_malicious\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 28,\n \"min\": 0,\n \"max\": 80,\n \"num_unique_values\": 4,\n \"samples\": [\n 20\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"strategy\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 7,\n \"samples\": [\n \"FLANDERS\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"aggregate_fn\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 6,\n \"samples\": [\n \"FedAvg\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}","type":"dataframe","variable_name":"fmnist_df"},"text/html":["\n","
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00722.5733350.09600.4977780000GAUSSfmnist0FLANDERSFedAvg
11679.1645870.22190.5677220000GAUSSfmnist0FLANDERSFedAvg
22559.4500050.45820.6990000000GAUSSfmnist0FLANDERSFedAvg
33473.0433670.53890.743833010000GAUSSfmnist0FLANDERSFedAvg
44438.4357100.56860.760333020000GAUSSfmnist0FLANDERSFedAvg
..........................................
356546729.7860360.10000.5000000000AGR-MMfmnist80DnCFedAvg
356647730.0917940.10000.5000000000AGR-MMfmnist80DnCFedAvg
356748730.4244920.10000.5000000000AGR-MMfmnist80DnCFedAvg
356849730.7109820.10000.5000000000AGR-MMfmnist80DnCFedAvg
356950731.0777110.10000.5000000000AGR-MMfmnist80DnCFedAvg
\n","

7497 rows × 13 columns

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\n"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 722.573335 0.0960 0.497778 0 0 0 0 GAUSS \n","1 1 679.164587 0.2219 0.567722 0 0 0 0 GAUSS \n","2 2 559.450005 0.4582 0.699000 0 0 0 0 GAUSS \n","3 3 473.043367 0.5389 0.743833 0 100 0 0 GAUSS \n","4 4 438.435710 0.5686 0.760333 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 729.786036 0.1000 0.500000 0 0 0 0 AGR-MM \n","3566 47 730.091794 0.1000 0.500000 0 0 0 0 AGR-MM \n","3567 48 730.424492 0.1000 0.500000 0 0 0 0 AGR-MM \n","3568 49 730.710982 0.1000 0.500000 0 0 0 0 AGR-MM \n","3569 50 731.077711 0.1000 0.500000 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 fmnist 0 FLANDERS FedAvg \n","1 fmnist 0 FLANDERS FedAvg \n","2 fmnist 0 FLANDERS FedAvg \n","3 fmnist 0 FLANDERS FedAvg \n","4 fmnist 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 fmnist 80 DnC FedAvg \n","3566 fmnist 80 DnC FedAvg \n","3567 fmnist 80 DnC FedAvg \n","3568 fmnist 80 DnC FedAvg \n","3569 fmnist 80 DnC FedAvg \n","\n","[7497 rows x 13 columns]"]},"execution_count":20,"metadata":{},"output_type":"execute_result"}],"source":["fmnist_df"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6,"status":"ok","timestamp":1709217818750,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"XYwnEFa2UaLs","outputId":"44dcb4de-f892-4555-b5d8-8cfcacd37137"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n"]}],"source":["print_unique_data(fmnist_df)"]},{"cell_type":"code","execution_count":20,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":249,"status":"ok","timestamp":1716376734931,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"VY5G4tF1yVHN","outputId":"cf11f084-16b5-45b2-e1ae-6d9455909720"},"outputs":[{"ename":"FileNotFoundError","evalue":"[Errno 2] No such file or directory: '../outputs/all_results_cifar_flanders.csv'","output_type":"error","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)","Cell \u001b[0;32mIn[20], line 4\u001b[0m\n\u001b[1;32m 2\u001b[0m results_flanders_file \u001b[38;5;241m=\u001b[39m results_dir \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mall_results_cifar_flanders.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 3\u001b[0m results_no_flanders_file \u001b[38;5;241m=\u001b[39m results_dir \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mall_results_cifar_no_flanders.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m----> 4\u001b[0m results_flanders_df \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_csv\u001b[49m\u001b[43m(\u001b[49m\u001b[43mresults_flanders_file\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 5\u001b[0m results_no_flanders_df \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mread_csv(results_no_flanders_file)\n\u001b[1;32m 6\u001b[0m results_flanders_df \u001b[38;5;241m=\u001b[39m translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:948\u001b[0m, in \u001b[0;36mread_csv\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend)\u001b[0m\n\u001b[1;32m 935\u001b[0m kwds_defaults \u001b[38;5;241m=\u001b[39m _refine_defaults_read(\n\u001b[1;32m 936\u001b[0m dialect,\n\u001b[1;32m 937\u001b[0m delimiter,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 944\u001b[0m dtype_backend\u001b[38;5;241m=\u001b[39mdtype_backend,\n\u001b[1;32m 945\u001b[0m )\n\u001b[1;32m 946\u001b[0m kwds\u001b[38;5;241m.\u001b[39mupdate(kwds_defaults)\n\u001b[0;32m--> 948\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_read\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:611\u001b[0m, in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m 608\u001b[0m _validate_names(kwds\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnames\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m))\n\u001b[1;32m 610\u001b[0m \u001b[38;5;66;03m# Create the parser.\u001b[39;00m\n\u001b[0;32m--> 611\u001b[0m parser \u001b[38;5;241m=\u001b[39m \u001b[43mTextFileReader\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 613\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m chunksize \u001b[38;5;129;01mor\u001b[39;00m iterator:\n\u001b[1;32m 614\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m parser\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:1448\u001b[0m, in \u001b[0;36mTextFileReader.__init__\u001b[0;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[1;32m 1445\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m kwds[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[1;32m 1447\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles: IOHandles \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m-> 1448\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_engine \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_make_engine\u001b[49m\u001b[43m(\u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mengine\u001b[49m\u001b[43m)\u001b[49m\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:1705\u001b[0m, in \u001b[0;36mTextFileReader._make_engine\u001b[0;34m(self, f, engine)\u001b[0m\n\u001b[1;32m 1703\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m mode:\n\u001b[1;32m 1704\u001b[0m mode \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m-> 1705\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;241m=\u001b[39m \u001b[43mget_handle\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1706\u001b[0m \u001b[43m \u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1707\u001b[0m \u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1708\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1709\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompression\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcompression\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1710\u001b[0m \u001b[43m \u001b[49m\u001b[43mmemory_map\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmemory_map\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1711\u001b[0m \u001b[43m \u001b[49m\u001b[43mis_text\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mis_text\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1712\u001b[0m \u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding_errors\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstrict\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1713\u001b[0m \u001b[43m \u001b[49m\u001b[43mstorage_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstorage_options\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1714\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1715\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 1716\u001b[0m f \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles\u001b[38;5;241m.\u001b[39mhandle\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/common.py:863\u001b[0m, in \u001b[0;36mget_handle\u001b[0;34m(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)\u001b[0m\n\u001b[1;32m 858\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(handle, \u001b[38;5;28mstr\u001b[39m):\n\u001b[1;32m 859\u001b[0m \u001b[38;5;66;03m# Check whether the filename is to be opened in binary mode.\u001b[39;00m\n\u001b[1;32m 860\u001b[0m \u001b[38;5;66;03m# Binary mode does not support 'encoding' and 'newline'.\u001b[39;00m\n\u001b[1;32m 861\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mencoding \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mmode:\n\u001b[1;32m 862\u001b[0m \u001b[38;5;66;03m# Encoding\u001b[39;00m\n\u001b[0;32m--> 863\u001b[0m handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\n\u001b[1;32m 864\u001b[0m \u001b[43m \u001b[49m\u001b[43mhandle\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 865\u001b[0m \u001b[43m \u001b[49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 866\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 867\u001b[0m \u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 868\u001b[0m \u001b[43m \u001b[49m\u001b[43mnewline\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 869\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 870\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 871\u001b[0m \u001b[38;5;66;03m# Binary mode\u001b[39;00m\n\u001b[1;32m 872\u001b[0m handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mopen\u001b[39m(handle, ioargs\u001b[38;5;241m.\u001b[39mmode)\n","\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '../outputs/all_results_cifar_flanders.csv'"]}],"source":["# CSV pre-processing CIFAR-10\n","results_flanders_file = results_dir + \"all_results_cifar_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_cifar_no_flanders.csv\"\n","results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)\n","results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","cifar_df = pd.concat([results_flanders_df, results_no_flanders_df])\n","cifar_df"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1716047460925,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"y7wfUI0eyeEp","outputId":"48c324d7-5816-406e-dd8a-284172967e90"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80 40]\n","Unique values in dataset_name: ['CIFAR-10']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'DnC' 'MultiKrum' 'Bulyan'\n"," 'FLDetector']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n"]}],"source":["print_unique_data(cifar_df)"]},{"cell_type":"markdown","metadata":{"id":"1TUxrAF6w6cY"},"source":["## Unify datasets"]},{"cell_type":"code","execution_count":10,"metadata":{"id":"R2wOP2Eex7X2"},"outputs":[],"source":["all_datasets_df = pd.concat([mnist_df, fmnist_df])"]},{"cell_type":"code","execution_count":11,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":428,"status":"ok","timestamp":1716376740426,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"jwDN17ygyFK7","outputId":"c3db739f-98b7-4070-f826-4344553e9ab7"},"outputs":[{"data":{"text/html":["
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00720.8331210.10450.5034220000GAUSSMNIST0FLANDERSFedAvg
11664.5222520.20890.5631160000GAUSSMNIST0FLANDERSFedAvg
22624.6338260.35600.6447310000GAUSSMNIST0FLANDERSFedAvg
33581.4764720.47730.710941010000GAUSSMNIST0FLANDERSFedAvg
44545.1142050.54300.746970020000GAUSSMNIST0FLANDERSFedAvg
..........................................
35654623279.5649070.10000.5000000000AGR-MMFMNIST80dncFedAvg
35664723290.9804420.10000.5000000000AGR-MMFMNIST80dncFedAvg
35674823302.2510220.10000.5000000000AGR-MMFMNIST80dncFedAvg
35684923312.5125960.10000.5000000000AGR-MMFMNIST80dncFedAvg
35695023326.1161770.10000.5000000000AGR-MMFMNIST80dncFedAvg
\n","

14432 rows × 13 columns

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"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 720.833121 0.1045 0.503422 0 0 0 0 GAUSS \n","1 1 664.522252 0.2089 0.563116 0 0 0 0 GAUSS \n","2 2 624.633826 0.3560 0.644731 0 0 0 0 GAUSS \n","3 3 581.476472 0.4773 0.710941 0 100 0 0 GAUSS \n","4 4 545.114205 0.5430 0.746970 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 23279.564907 0.1000 0.500000 0 0 0 0 AGR-MM \n","3566 47 23290.980442 0.1000 0.500000 0 0 0 0 AGR-MM \n","3567 48 23302.251022 0.1000 0.500000 0 0 0 0 AGR-MM \n","3568 49 23312.512596 0.1000 0.500000 0 0 0 0 AGR-MM \n","3569 50 23326.116177 0.1000 0.500000 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 MNIST 0 FLANDERS FedAvg \n","1 MNIST 0 FLANDERS FedAvg \n","2 MNIST 0 FLANDERS FedAvg \n","3 MNIST 0 FLANDERS FedAvg \n","4 MNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 FMNIST 80 dnc FedAvg \n","3566 FMNIST 80 dnc FedAvg \n","3567 FMNIST 80 dnc FedAvg \n","3568 FMNIST 80 dnc FedAvg \n","3569 FMNIST 80 dnc FedAvg \n","\n","[14432 rows x 13 columns]"]},"execution_count":11,"metadata":{},"output_type":"execute_result"}],"source":["all_datasets_df"]},{"cell_type":"code","execution_count":12,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2,"status":"ok","timestamp":1716376741411,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"VWrdDPtPyHHA","outputId":"1ef8b853-63f8-4eac-a785-578684dbf0a6"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['MNIST' 'FMNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'dnc']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc']\n"]}],"source":["print_unique_data(all_datasets_df)"]},{"cell_type":"markdown","metadata":{"id":"OlES57TEn2Ng"},"source":["# Tables\n"]},{"cell_type":"markdown","metadata":{"id":"hcHkTXfGbapg"},"source":["## Accuracy"]},{"cell_type":"markdown","metadata":{"id":"7F1YDs12sZbE"},"source":["### Best with improvment w.r.t. baseline"]},{"cell_type":"code","execution_count":13,"metadata":{"id":"GuQM8bzXnIGx"},"outputs":[],"source":["def accuracy_table(input_df, b):\n"," # Define strategies and attacks\n"," strategies = ['FedAvg', 'FLANDERS + FedAvg', 'FedMedian', 'FLANDERS + FedMedian', 'TrimmedMean', 'FLANDERS + TrimmedMean', 'MultiKrum', 'FLANDERS + MultiKrum', 'Bulyan', 'FLANDERS + Bulyan']\n"," attacks = ['GAUSS', 'LIE', 'OPT', 'AGR-MM']\n"," dataset_names = [\"MNIST\", \"FMNIST\"]\n","\n"," # Create MultiIndex for the columns\n"," columns = pd.MultiIndex.from_product([dataset_names, attacks], names=['Dataset', 'Attack'])\n","\n"," # Create an empty DataFrame with the defined columns and strategies\n"," df = pd.DataFrame(index=strategies, columns=columns)\n","\n"," filtered_df = input_df[(input_df['num_malicious'] == b) & (input_df['round'] >= 3)]\n"," baseline_df = filtered_df[filtered_df['strategy'] != 'FLANDERS']\n"," flanders_df = filtered_df[filtered_df['strategy'] == 'FLANDERS']\n","\n"," # Populate the DataFrame\n"," for strategy in ['FedAvg', 'TrimmedMean', 'FedMedian', 'MultiKrum', 'Bulyan']:\n"," for dataset in dataset_names:\n"," for attack in attacks:\n"," df.loc[strategy, (dataset, attack)] = round(baseline_df[(baseline_df['strategy']==strategy) & (baseline_df['attack_fn']==attack) & (baseline_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n"," df.loc[f\"FLANDERS + {strategy}\", (dataset, attack)] = round(flanders_df[(flanders_df['aggregate_fn']==strategy) & (flanders_df['attack_fn']==attack) & (flanders_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n","\n"," return df\n"]},{"cell_type":"code","execution_count":14,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":457},"executionInfo":{"elapsed":1243,"status":"ok","timestamp":1715943873268,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"PruXJg2vA87b","outputId":"98d83851-626b-4877-fd09-8f2f01200c65"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSGAUSS
FedAvg0.860.68
FLANDERS + FedAvg0.840.64
FedMedian0.830.71
FLANDERS + FedMedian0.760.73
TrimmedMean0.850.69
FLANDERS + TrimmedMean0.780.7
MultiKrum0.680.66
FLANDERS + MultiKrum0.740.73
Bulyan0.860.62
FLANDERS + Bulyan0.870.65
\n","
"],"text/plain":["Dataset MNIST FMNIST\n","Attack GAUSS GAUSS\n","FedAvg 0.86 0.68\n","FLANDERS + FedAvg 0.84 0.64\n","FedMedian 0.83 0.71\n","FLANDERS + FedMedian 0.76 0.73\n","TrimmedMean 0.85 0.69\n","FLANDERS + TrimmedMean 0.78 0.7\n","MultiKrum 0.68 0.66\n","FLANDERS + MultiKrum 0.74 0.73\n","Bulyan 0.86 0.62\n","FLANDERS + Bulyan 0.87 0.65"]},"execution_count":14,"metadata":{},"output_type":"execute_result"}],"source":["# Table 19\n","acc_0 = accuracy_table(all_datasets_df, 0)\n","acc_0.dropna(axis=1, how='all')"]},{"cell_type":"code","execution_count":15,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":457},"executionInfo":{"elapsed":858,"status":"ok","timestamp":1715944158330,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"8bV7hABWbyMS","outputId":"6d24f87d-da15-40b2-8880-3b6dcefda1fd"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSLIEOPTAGR-MMGAUSSLIEOPTAGR-MM
FedAvg0.20.170.670.450.250.170.570.11
FLANDERS + FedAvg0.880.870.480.880.660.670.570.64
FedMedian0.80.660.790.590.660.650.670.6
FLANDERS + FedMedian0.850.850.660.830.710.690.630.73
TrimmedMean0.860.520.730.610.690.540.620.58
FLANDERS + TrimmedMean0.810.850.780.830.690.70.630.73
MultiKrum0.780.770.810.820.740.650.70.67
FLANDERS + MultiKrum0.820.860.840.820.730.70.730.71
Bulyan0.820.840.840.830.710.720.690.76
FLANDERS + Bulyan0.90.840.790.850.650.650.660.65
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","Attack GAUSS LIE OPT AGR-MM GAUSS LIE OPT AGR-MM\n","FedAvg 0.2 0.17 0.67 0.45 0.25 0.17 0.57 0.11\n","FLANDERS + FedAvg 0.88 0.87 0.48 0.88 0.66 0.67 0.57 0.64\n","FedMedian 0.8 0.66 0.79 0.59 0.66 0.65 0.67 0.6\n","FLANDERS + FedMedian 0.85 0.85 0.66 0.83 0.71 0.69 0.63 0.73\n","TrimmedMean 0.86 0.52 0.73 0.61 0.69 0.54 0.62 0.58\n","FLANDERS + TrimmedMean 0.81 0.85 0.78 0.83 0.69 0.7 0.63 0.73\n","MultiKrum 0.78 0.77 0.81 0.82 0.74 0.65 0.7 0.67\n","FLANDERS + MultiKrum 0.82 0.86 0.84 0.82 0.73 0.7 0.73 0.71\n","Bulyan 0.82 0.84 0.84 0.83 0.71 0.72 0.69 0.76\n","FLANDERS + Bulyan 0.9 0.84 0.79 0.85 0.65 0.65 0.66 0.65"]},"execution_count":15,"metadata":{},"output_type":"execute_result"}],"source":["# Table 15\n","acc_20 = accuracy_table(all_datasets_df, 20)\n","acc_20"]},{"cell_type":"code","execution_count":16,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1126,"status":"ok","timestamp":1716115710006,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"xSvgEwLoPmh3","outputId":"1c65e66e-7374-46f0-a2a5-0964bc40e49a"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSLIEOPTAGR-MMGAUSSLIEOPTAGR-MM
FedAvg0.190.150.20.160.280.10.190.1
FLANDERS + FedAvg0.760.880.850.850.690.670.710.67
FedMedian0.80.190.160.290.650.10.10.1
FLANDERS + FedMedian0.80.860.830.860.710.690.710.71
TrimmedMean0.250.20.330.10.330.10.170.1
FLANDERS + TrimmedMean0.780.870.840.830.70.710.730.74
MultiKrum0.790.140.220.150.710.10.120.1
FLANDERS + MultiKrum0.880.880.860.780.720.710.730.69
BulyanNaNNaNNaNNaNNaNNaNNaNNaN
FLANDERS + Bulyan0.890.870.90.850.680.640.60.69
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","Attack GAUSS LIE OPT AGR-MM GAUSS LIE OPT AGR-MM\n","FedAvg 0.19 0.15 0.2 0.16 0.28 0.1 0.19 0.1\n","FLANDERS + FedAvg 0.76 0.88 0.85 0.85 0.69 0.67 0.71 0.67\n","FedMedian 0.8 0.19 0.16 0.29 0.65 0.1 0.1 0.1\n","FLANDERS + FedMedian 0.8 0.86 0.83 0.86 0.71 0.69 0.71 0.71\n","TrimmedMean 0.25 0.2 0.33 0.1 0.33 0.1 0.17 0.1\n","FLANDERS + TrimmedMean 0.78 0.87 0.84 0.83 0.7 0.71 0.73 0.74\n","MultiKrum 0.79 0.14 0.22 0.15 0.71 0.1 0.12 0.1\n","FLANDERS + MultiKrum 0.88 0.88 0.86 0.78 0.72 0.71 0.73 0.69\n","Bulyan NaN NaN NaN NaN NaN NaN NaN NaN\n","FLANDERS + Bulyan 0.89 0.87 0.9 0.85 0.68 0.64 0.6 0.69"]},"execution_count":16,"metadata":{},"output_type":"execute_result"}],"source":["# Table 17\n","acc_60 = accuracy_table(all_datasets_df, 60)\n","acc_60"]},{"cell_type":"code","execution_count":17,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1188,"status":"ok","timestamp":1716050662469,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"dM_AMm_jcCye","outputId":"90533ef1-500f-40a3-f565-2c2ca1d68aaa"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSLIEOPTAGR-MMGAUSSLIEOPTAGR-MM
FedAvg0.210.160.310.130.240.10.180.1
FLANDERS + FedAvg0.850.860.880.850.690.70.690.66
FedMedian0.340.170.140.090.30.10.140.1
FLANDERS + FedMedian0.870.840.80.80.730.740.720.72
TrimmedMean0.170.150.210.140.210.10.120.1
FLANDERS + TrimmedMean0.810.850.810.820.740.730.70.69
MultiKrum0.820.210.320.110.720.10.150.1
FLANDERS + MultiKrum0.870.830.870.850.680.730.720.7
BulyanNaNNaNNaNNaNNaNNaNNaNNaN
FLANDERS + Bulyan0.840.840.830.80.690.720.690.68
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","Attack GAUSS LIE OPT AGR-MM GAUSS LIE OPT AGR-MM\n","FedAvg 0.21 0.16 0.31 0.13 0.24 0.1 0.18 0.1\n","FLANDERS + FedAvg 0.85 0.86 0.88 0.85 0.69 0.7 0.69 0.66\n","FedMedian 0.34 0.17 0.14 0.09 0.3 0.1 0.14 0.1\n","FLANDERS + FedMedian 0.87 0.84 0.8 0.8 0.73 0.74 0.72 0.72\n","TrimmedMean 0.17 0.15 0.21 0.14 0.21 0.1 0.12 0.1\n","FLANDERS + TrimmedMean 0.81 0.85 0.81 0.82 0.74 0.73 0.7 0.69\n","MultiKrum 0.82 0.21 0.32 0.11 0.72 0.1 0.15 0.1\n","FLANDERS + MultiKrum 0.87 0.83 0.87 0.85 0.68 0.73 0.72 0.7\n","Bulyan NaN NaN NaN NaN NaN NaN NaN NaN\n","FLANDERS + Bulyan 0.84 0.84 0.83 0.8 0.69 0.72 0.69 0.68"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["# Table 3\n","acc_80 = accuracy_table(all_datasets_df, 80)\n","acc_80"]},{"cell_type":"markdown","metadata":{"id":"CZX8c37MsgFL"},"source":["### Best w.r.t. number of attackers"]},{"cell_type":"code","execution_count":18,"metadata":{"id":"xgIKM1obsmd2"},"outputs":[],"source":["def accuracy_table_attackers(input_df, aggregate_fn):\n"," # Define strategies and attacks\n"," attacks = ['GAUSS', 'LIE', 'OPT', 'AGR-MM']\n"," dataset_names = [\"MNIST\", \"FMNIST\"]\n"," num_malicious = [0, 20, 60, 80]\n","\n"," # Create MultiIndex for the columns\n"," columns = pd.MultiIndex.from_product([dataset_names, num_malicious], names=['Dataset', '# Malicious'])\n","\n"," #######\n"," #columns = pd.MultiIndex.from_product([['MNIST', 'CIFAR-10'], ['GAUSS', 'LIE', 'OPT', 'AGR-MM'], ['LAST', 'BEST']])\n"," #######\n","\n","\n"," # Create an empty DataFrame with the defined columns and strategies\n"," df = pd.DataFrame(index=attacks, columns=columns)\n","\n"," filtered_df = input_df[(input_df['aggregate_fn'] == aggregate_fn) & (input_df['round'] >= 3)]\n"," baseline_df = filtered_df[filtered_df['strategy'] != 'FLANDERS']\n"," flanders_df = filtered_df[filtered_df['strategy'] == 'FLANDERS']\n","\n"," # Populate the DataFrame\n"," for dataset in dataset_names:\n"," for attack in attacks:\n"," for b in num_malicious:\n"," if b == 0:\n"," df.loc[attack, (dataset, b)] = round(flanders_df[(flanders_df['num_malicious']==b) & (flanders_df['attack_fn']=='GAUSS') & (flanders_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n"," else:\n"," df.loc[attack, (dataset, b)] = round(flanders_df[(flanders_df['num_malicious']==b) & (flanders_df['attack_fn']==attack) & (flanders_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n","\n"," return df"]},{"cell_type":"code","execution_count":19,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"executionInfo":{"elapsed":305,"status":"ok","timestamp":1715954054792,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"0n9vhQiQuxk_","outputId":"500dfb31-f525-4289-f337-2c945bf50cd2"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
# Malicious02060800206080
GAUSS0.740.820.880.870.730.730.720.68
LIE0.740.860.880.830.730.70.710.73
OPT0.740.840.860.870.730.730.730.72
AGR-MM0.740.820.780.850.730.710.690.7
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","# Malicious 0 20 60 80 0 20 60 80\n","GAUSS 0.74 0.82 0.88 0.87 0.73 0.73 0.72 0.68\n","LIE 0.74 0.86 0.88 0.83 0.73 0.7 0.71 0.73\n","OPT 0.74 0.84 0.86 0.87 0.73 0.73 0.73 0.72\n","AGR-MM 0.74 0.82 0.78 0.85 0.73 0.71 0.69 0.7"]},"execution_count":19,"metadata":{},"output_type":"execute_result"}],"source":["# Table 20\n","acc_att = accuracy_table_attackers(all_datasets_df, 'MultiKrum')\n","acc_att"]},{"cell_type":"markdown","metadata":{"id":"g6yDorrubUw1"},"source":["## Precision and Recall"]},{"cell_type":"code","execution_count":20,"metadata":{"id":"y0PlDlG0bKek"},"outputs":[],"source":["def pr_table(input_df, b):\n"," strategies = ['FLANDERS']\n"," attacks = ['GAUSS', 'LIE', 'OPT', 'AGR-MM']\n"," dataset_names = [\"MNIST\", \"FMNIST\"]\n","\n"," # Create MultiIndex for the columns\n"," columns = pd.MultiIndex.from_product([strategies, attacks, ['P', 'R']], names=['Strategy', 'Attack', 'P/R'])\n","\n"," # Create an empty DataFrame with the defined columns and strategies\n"," df = pd.DataFrame(index=dataset_names, columns=columns)\n","\n"," filtered_df = input_df[(input_df['num_malicious'] == b) & (input_df['round'] == 50) & (input_df['aggregate_fn']=='FedAvg')]\n"," flanders_df = filtered_df[filtered_df['strategy'] == 'FLANDERS']\n"," strat_dfs = [flanders_df]\n","\n"," # Populate the DataFrame\n"," for dataset in dataset_names:\n"," for attack in attacks:\n"," for idx, strategy in enumerate(strategies):\n"," tp = strat_dfs[idx][(strat_dfs[idx]['attack_fn']==attack) & (strat_dfs[idx]['dataset_name']==dataset)]['TP'].iloc[0]\n"," fp = strat_dfs[idx][(strat_dfs[idx]['attack_fn']==attack) & (strat_dfs[idx]['dataset_name']==dataset)]['FP'].iloc[0]\n"," fn = strat_dfs[idx][(strat_dfs[idx]['attack_fn']==attack) & (strat_dfs[idx]['dataset_name']==dataset)]['FN'].iloc[0]\n"," df.loc[dataset, (strategy, attack, 'P')] = round(tp / (tp+fp), 2)\n"," df.loc[dataset, (strategy, attack, 'R')] = round(tp / (tp+fn), 2)\n","\n"," return df"]},{"cell_type":"code","execution_count":21,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":257},"executionInfo":{"elapsed":248,"status":"ok","timestamp":1716367268457,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"rpQyziNRh3dn","outputId":"26e2c0f9-144d-4cad-d13f-1e2351aa2081"},"outputs":[{"data":{"text/html":["
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StrategyFLANDERS
AttackGAUSSLIEOPTAGR-MM
P/RPRPRPRPR
MNIST1.01.01.01.00.150.151.01.0
FMNIST1.01.01.01.00.160.161.01.0
\n","
"],"text/plain":["Strategy FLANDERS \n","Attack GAUSS LIE OPT AGR-MM \n","P/R P R P R P R P R\n","MNIST 1.0 1.0 1.0 1.0 0.15 0.15 1.0 1.0\n","FMNIST 1.0 1.0 1.0 1.0 0.16 0.16 1.0 1.0"]},"execution_count":21,"metadata":{},"output_type":"execute_result"}],"source":["# Table 1\n","pr_20 = pr_table(all_datasets_df, 20)\n","pr_20"]},{"cell_type":"code","execution_count":22,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":257},"executionInfo":{"elapsed":327,"status":"ok","timestamp":1716367273542,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"ccW0Ups3iMvZ","outputId":"ba945e17-1bbe-414f-9aa0-b03fb0fe107f"},"outputs":[{"data":{"text/html":["
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StrategyFLANDERS
AttackGAUSSLIEOPTAGR-MM
P/RPRPRPRPR
MNIST1.01.01.01.01.01.01.01.0
FMNIST1.01.01.01.01.01.01.01.0
\n","
"],"text/plain":["Strategy FLANDERS \n","Attack GAUSS LIE OPT AGR-MM \n","P/R P R P R P R P R\n","MNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0\n","FMNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0"]},"execution_count":22,"metadata":{},"output_type":"execute_result"}],"source":["# Table 2\n","pr_60 = pr_table(all_datasets_df, 60)\n","pr_60"]},{"cell_type":"code","execution_count":23,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":257},"executionInfo":{"elapsed":308,"status":"ok","timestamp":1716376750779,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"05a0Gv5piS2v","outputId":"0cf6555a-4cc8-4aa5-f9b6-c8286afa130a"},"outputs":[{"data":{"text/html":["
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StrategyFLANDERS
AttackGAUSSLIEOPTAGR-MM
P/RPRPRPRPR
MNIST1.01.01.01.01.01.01.01.0
FMNIST1.01.01.01.01.01.01.01.0
\n","
"],"text/plain":["Strategy FLANDERS \n","Attack GAUSS LIE OPT AGR-MM \n","P/R P R P R P R P R\n","MNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0\n","FMNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0"]},"execution_count":23,"metadata":{},"output_type":"execute_result"}],"source":["# Table 3\n","pr_80 = pr_table(all_datasets_df, 80)\n","pr_80"]},{"cell_type":"markdown","metadata":{"id":"bN7dTn2u0r6K"},"source":["# Plots"]},{"cell_type":"markdown","metadata":{"id":"xZ0wiadBsVUh"},"source":["## Accuracy over rounds"]},{"cell_type":"code","execution_count":24,"metadata":{"id":"LQ_uYJCtjdJS"},"outputs":[],"source":["df_mnist_acc_flanders = all_datasets_df[(all_datasets_df['strategy']=='FLANDERS') & (all_datasets_df['num_malicious']==80) & (all_datasets_df['dataset_name']=='MNIST') & (all_datasets_df['aggregate_fn']=='MultiKrum')]\n","df_mnist_acc_fedavg = all_datasets_df[(all_datasets_df['strategy']=='FedAvg') & (all_datasets_df['num_malicious']==80) & (all_datasets_df['dataset_name']=='MNIST')]\n","df_no_attack = all_datasets_df[(all_datasets_df['strategy']=='FedAvg') & (all_datasets_df['num_malicious']==0) & (all_datasets_df['dataset_name']=='MNIST')]"]},{"cell_type":"code","execution_count":25,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":408},"executionInfo":{"elapsed":651,"status":"ok","timestamp":1714668544212,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"NDkD_Qnd1iT7","outputId":"928cfa90-04a2-4624-9825-adb0d124aaf8"},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["# Figure 3\n","num_plots = 2\n","plt.style.use('default')\n","fig, axs = plt.subplots(1, num_plots, figsize=(11, 4))\n","\n","data = [df_mnist_acc_flanders, df_mnist_acc_fedavg]\n","\n","for i in range(num_plots):\n"," if i == 0:\n"," acc = df_no_attack[df_no_attack[\"attack_fn\"]=='GAUSS']['accuracy'].to_list()\n"," axs[i].plot(acc, label=\"No Attack\", linestyle='--', color='slategray')\n"," for attack in ['GAUSS', 'LIE', 'OPT', 'AGR-MM']:\n"," acc = data[i][data[i]['attack_fn']==attack]['accuracy'].to_list()\n"," x = [i for i in range(len(data))]\n"," axs[i].plot(acc, label=attack)\n"," axs[i].set_ylim((0,1.0))\n"," axs[i].set_xlabel('Round', fontsize=16)\n"," axs[i].set_ylabel('Accuracy', fontsize=16)\n"," axs[i].legend(prop={'size': 12})\n"," axs[i].tick_params(axis='both', which='major', labelsize=16)\n"," axs[i].tick_params(axis='both', which='minor', labelsize=16)\n","\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":[]}],"metadata":{"colab":{"authorship_tag":"ABX9TyODCHCYl18UhHkKwq6LlRvG","collapsed_sections":["P_3Z05w0wvNB","dE_uqUeuyl6M","9vVX6wsxT-rc","RctMDJMZyPq2","R9VNz7Cv9RHn","6V4padUiYeac","pZ863s6JJbph","EJDtdXqLJX0H"],"provenance":[]},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.9.18"}},"nbformat":4,"nbformat_minor":0} From bcc85dfecf3c3c6b1a3900d0d6a165bb9528418a Mon Sep 17 00:00:00 2001 From: edogab33 Date: Mon, 24 Jun 2024 12:27:36 +0200 Subject: [PATCH 78/91] Update .gitignore --- baselines/flanders/.gitignore | 1 - 1 file changed, 1 deletion(-) diff --git a/baselines/flanders/.gitignore b/baselines/flanders/.gitignore index 02f63e86987e..4187d73689f0 100644 --- a/baselines/flanders/.gitignore +++ b/baselines/flanders/.gitignore @@ -2,7 +2,6 @@ outputs/* clients_params/* flanders/datasets_files/* *.log -plotting flanders/__pycache__ MNIST .DS_Store From d6b60daec29dcb4b0185fdf76c88318d7637cf05 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Mon, 24 Jun 2024 12:29:52 +0200 Subject: [PATCH 79/91] Update .sh script --- baselines/flanders/run.sh | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/baselines/flanders/run.sh b/baselines/flanders/run.sh index 5e9c54c85d7d..435c358c4ee7 100644 --- a/baselines/flanders/run.sh +++ b/baselines/flanders/run.sh @@ -1,3 +1,9 @@ #!/bin/bash -python -m flanders.main --multirun server.num_rounds=50 dataset=mnist,cifar strategy=flanders aggregate_fn=fedavg,trimmedmean,fedmedian,bulyan,dnc server.pool_size=100 server.num_malicious=2 server.attack_fn=gaussian,lie,fang,minmax server.warmup_rounds=2 &> flanders.log +python -m flanders.main --multirun server.num_rounds=50 dataset=mnist strategy=flanders aggregate_fn=fedavg,trimmedmean,fedmedian,krum,bulyan server.pool_size=100 server.num_malicious=0,20,60,80 server.attack_fn=gaussian,lie,fang,minmax server.warmup_rounds=2 client_resources.num_cpus=0.1 client_resources.num_gpus=0.1 + +python -m flanders.main --multirun server.num_rounds=50 dataset=mnist strategy=fedavg,trimmedmean,fedmedian,krum,bulyan server.pool_size=100 server.num_malicious=0,20,60,80 server.attack_fn=gaussian,lie,fang,minmax server.warmup_rounds=2 client_resources.num_cpus=0.1 client_resources.num_gpus=0.1 + +python -m flanders.main --multirun server.num_rounds=50 dataset=fmnist strategy=flanders aggregate_fn=fedavg,trimmedmean,fedmedian,krum,bulyan server.pool_size=100 server.num_malicious=0,20,60,80 server.attack_fn=gaussian,lie,fang,minmax server.warmup_rounds=2 client_resources.num_cpus=0.1 client_resources.num_gpus=0.1 + +python -m flanders.main --multirun server.num_rounds=50 dataset=fmnist strategy=fedavg,trimmedmean,fedmedian,krum,bulyan server.pool_size=100 server.num_malicious=0,20,60,80 server.attack_fn=gaussian,lie,fang,minmax server.warmup_rounds=2 client_resources.num_cpus=0.1 client_resources.num_gpus=0.1 \ No newline at end of file From 74fe17ba33d08c08da8ea353c04b8ac5d44845ca Mon Sep 17 00:00:00 2001 From: edogab33 Date: Mon, 24 Jun 2024 18:49:54 +0200 Subject: [PATCH 80/91] Update README --- baselines/flanders/README.md | 42 +++++++++++++++--- baselines/flanders/_static/boxplot_Income.jpg | Bin 15841 -> 0 bytes baselines/flanders/_static/boxplot_MNIST.jpg | Bin 16059 -> 0 bytes baselines/flanders/_static/max_acc.jpg | Bin 44610 -> 0 bytes baselines/flanders/_static/screenshot-1.png | Bin 0 -> 59693 bytes baselines/flanders/_static/screenshot-2.png | Bin 0 -> 55468 bytes baselines/flanders/_static/screenshot-3.png | Bin 0 -> 54775 bytes baselines/flanders/_static/screenshot-4.png | Bin 0 -> 13737 bytes baselines/flanders/_static/screenshot-5.png | Bin 0 -> 12330 bytes baselines/flanders/_static/screenshot-6.png | Bin 0 -> 12285 bytes baselines/flanders/_static/screenshot-7.png | Bin 0 -> 65493 bytes baselines/flanders/_static/screenshot.png | Bin 0 -> 33483 bytes .../flanders/plotting/FLANDERS_results.ipynb | 2 +- 13 files changed, 38 insertions(+), 6 deletions(-) delete mode 100644 baselines/flanders/_static/boxplot_Income.jpg delete mode 100644 baselines/flanders/_static/boxplot_MNIST.jpg delete mode 100644 baselines/flanders/_static/max_acc.jpg create mode 100644 baselines/flanders/_static/screenshot-1.png create mode 100644 baselines/flanders/_static/screenshot-2.png create mode 100644 baselines/flanders/_static/screenshot-3.png create mode 100644 baselines/flanders/_static/screenshot-4.png create mode 100644 baselines/flanders/_static/screenshot-5.png create mode 100644 baselines/flanders/_static/screenshot-6.png create mode 100644 baselines/flanders/_static/screenshot-7.png create mode 100644 baselines/flanders/_static/screenshot.png diff --git a/baselines/flanders/README.md b/baselines/flanders/README.md index dfe2b336aad4..6f741da6212b 100644 --- a/baselines/flanders/README.md +++ b/baselines/flanders/README.md @@ -122,12 +122,44 @@ They will generate the results in `results/all_results.csv`. To generate the plots, use the notebook in `plotting/plots.ipynb`. -Expected maximum accuracy achieved across different numbers of malicious clients and different attacks: -![](_static/max_acc.jpg) +### Accuracy over multiple rounds +**(left) MNIST, FLANDERS+FedAvg with 80% of malicious clients (b = 80); (right) Vanilla FedAvg in the same setting:** -Expected distribution of accuracy from round $L$ to the final round across all the experiments: +![alt text](_static/screenshot-7.png) -![](_static/boxplot_Income.jpg) +### Precision and Recall of FLANDERS -![](_static/boxplot_MNIST.jpg) \ No newline at end of file +**b = 20:** + +![alt text](_static/screenshot-4.png) +--- + +**b = 60:** + +![alt text](_static/screenshot-5.png) +--- +**b = 80:** + +![alt text](_static/screenshot-6.png) + + +### Accuracy w.r.t. number of attackers: +**b = 0:** + +![alt text](_static/screenshot.png) + +--- +**b = 20:** + +![alt text](_static/screenshot-1.png) + +--- +**b = 60:** + +![alt text](_static/screenshot-2.png) + +--- +**b = 80:** + +![alt text](_static/screenshot-3.png) \ No newline at end of file diff --git a/baselines/flanders/_static/boxplot_Income.jpg b/baselines/flanders/_static/boxplot_Income.jpg deleted file mode 100644 index 4b0621412ed2de4e81dd3a997fbd0c846e8f80a7..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 15841 zcmeHO2{=_-``^bbLn-qdiX1Z`LkC?#$&h(0l$j7Rb*SW;rw|$9BqAhJ8IsDJdF&iR zhRj4}&hX#3b?N_g@BO~#e&chGXYFI}{qDWi`+LXru61yIxR1agRV5WA00MykO5h)W zLjh+15+WjEB0>^kVq#KKk^|(_6y#)N)-tMnF_dWcwu$Qc_ZKGIDwf3VM;F%tuB3?ho!YKt%%K!WYJeZ~%Bz z5PT{K?j67e01!fOwA%yz0`MUC_;>{PgoFeHAhj=eA0VJ2 zJbYAGp6H0?WnvCzY7zgaG!jmQf@&JA_606cbC+AB2WaW&85oZp=jJ)VD|S*`Lh_W< znV%Gu&MK>@Uewmn)zddHw6MH#)ymq&*7drZyT=VruiJM5?gsuG6dWCMFE%dzenMh8 z;!(!q%&aHb&kKu+OG;n7EPM0zT}^FWeM4hMXIFPmZ{G*x@W|-cr}2r&sp-WpOUo;( zYwH`E+k8O){9U%barPZwR3Kk?1O)g5#M^v9@I1hVPenj@RG8?nye9Ew=OY{<{v^~2 zQE3I$q@1E!3pC~~?FVSN#DJ5coZLJpi8xYl5Gj@9QKy>tBA-fFJ?Pbu%Uwo8Y-ndY4pi-+ 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-{"cells":[{"cell_type":"markdown","metadata":{"id":"Cg37xeuu7Xy5"},"source":["# Preliminaries"]},{"cell_type":"code","execution_count":1,"metadata":{"id":"J_Dh3sGVyb2w"},"outputs":[],"source":["import pandas as pd\n","from natsort import natsorted\n","import matplotlib.pyplot as plt"]},{"cell_type":"code","execution_count":2,"metadata":{"id":"FjlCyr_B8OdT"},"outputs":[],"source":["results_dir = \"../outputs/\""]},{"cell_type":"markdown","metadata":{"id":"VX2oCpZf7Z7y"},"source":["# Prepare data"]},{"cell_type":"markdown","metadata":{"id":"P_3Z05w0wvNB"},"source":["## Utils"]},{"cell_type":"code","execution_count":3,"metadata":{"id":"fZSDCuT497HV"},"outputs":[],"source":["def print_unique_data(results_df):\n"," for col in [\"attack_fn\", \"num_malicious\", \"dataset_name\", \"strategy\", \"aggregate_fn\"]:\n"," print(f\"Unique values in {col}: {results_df[col].unique()}\")"]},{"cell_type":"code","execution_count":4,"metadata":{"id":"8GcIZNuu8q5Y"},"outputs":[],"source":["def translate_cols(df, attack_dict, dataset_dict, strategy_dict, aggregate_dict):\n"," column_names = [\"attack_fn\", \"dataset_name\", \"strategy\", \"aggregate_fn\"]\n"," for idx, d in enumerate([attack_dict, dataset_dict, strategy_dict, aggregate_dict]):\n"," df[column_names[idx]] = df[column_names[idx]].replace(d)\n"," return df"]},{"cell_type":"code","execution_count":5,"metadata":{"id":"oHcF2pl8sdOG"},"outputs":[],"source":["attack_dict = {\n"," \"gaussian\": \"GAUSS\",\n"," \"lie\": \"LIE\",\n"," \"fang\": \"OPT\",\n"," \"minmax\": \"AGR-MM\",\n"," \"adaptive\": \"MAR-ATK\"\n","}\n","\n","dataset_dict = {\n"," \"mnist\": \"MNIST\",\n"," \"fmnist\": \"FMNIST\",\n"," \"cifar\": \"CIFAR-10\",\n"," \"cifar100\": \"CIFAR-100\"\n","}\n","\n","strategy_dict = {\n"," \"flanders\": \"FLANDERS\",\n"," \"fedavg\": \"FedAvg\",\n"," \"fedmedian\": \"FedMedian\",\n"," \"trimmedmean\": \"TrimmedMean\",\n"," \"bulyan\": \"Bulyan\",\n"," \"krum\": \"MultiKrum\",\n"," \"fldetector\": \"FLDetector\"\n","}\n","\n","aggregate_dict = {\n"," \"flwr.server.strategy.aggregate.aggregate\": \"FedAvg\",\n"," \"flwr.server.strategy.aggregate.aggregate_median\": \"FedMedian\",\n"," \"flwr.server.strategy.aggregate.aggregate_trimmed_avg\": \"TrimmedMean\",\n"," \"flwr.server.strategy.aggregate.aggregate_bulyan\": \"Bulyan\",\n"," \"flwr.server.strategy.aggregate.aggregate_krum\": \"MultiKrum\"\n","}"]},{"cell_type":"markdown","metadata":{"id":"y0XCCkuhwydB"},"source":["## MNIST"]},{"cell_type":"markdown","metadata":{"id":"NG2-2cpnyjkY"},"source":["### Use this shortcut"]},{"cell_type":"code","execution_count":6,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":244,"status":"ok","timestamp":1716376729975,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"lY85nEb6yrXu","outputId":"5439a3bc-684f-492f-b615-53e2252cd94c"},"outputs":[{"data":{"text/html":["

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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00720.8331210.10450.5034220000GAUSSMNIST0FLANDERSFedAvg
11664.5222520.20890.5631160000GAUSSMNIST0FLANDERSFedAvg
22624.6338260.35600.6447310000GAUSSMNIST0FLANDERSFedAvg
33581.4764720.47730.710941010000GAUSSMNIST0FLANDERSFedAvg
44545.1142050.54300.746970020000GAUSSMNIST0FLANDERSFedAvg
..........................................
356546724.2817250.10250.5004790000AGR-MMMNIST80dncFedAvg
356647724.3501380.10240.5004210000AGR-MMMNIST80dncFedAvg
356748724.5352630.10250.5004790000AGR-MMMNIST80dncFedAvg
356849724.5888810.10280.5005980000AGR-MMMNIST80dncFedAvg
356950724.7838510.10280.5006020000AGR-MMMNIST80dncFedAvg
\n","

7548 rows × 13 columns

\n","
"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 720.833121 0.1045 0.503422 0 0 0 0 GAUSS \n","1 1 664.522252 0.2089 0.563116 0 0 0 0 GAUSS \n","2 2 624.633826 0.3560 0.644731 0 0 0 0 GAUSS \n","3 3 581.476472 0.4773 0.710941 0 100 0 0 GAUSS \n","4 4 545.114205 0.5430 0.746970 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 724.281725 0.1025 0.500479 0 0 0 0 AGR-MM \n","3566 47 724.350138 0.1024 0.500421 0 0 0 0 AGR-MM \n","3567 48 724.535263 0.1025 0.500479 0 0 0 0 AGR-MM \n","3568 49 724.588881 0.1028 0.500598 0 0 0 0 AGR-MM \n","3569 50 724.783851 0.1028 0.500602 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 MNIST 0 FLANDERS FedAvg \n","1 MNIST 0 FLANDERS FedAvg \n","2 MNIST 0 FLANDERS FedAvg \n","3 MNIST 0 FLANDERS FedAvg \n","4 MNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 MNIST 80 dnc FedAvg \n","3566 MNIST 80 dnc FedAvg \n","3567 MNIST 80 dnc FedAvg \n","3568 MNIST 80 dnc FedAvg \n","3569 MNIST 80 dnc FedAvg \n","\n","[7548 rows x 13 columns]"]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["# CSV pre-processing MNIST\n","results_flanders_file = results_dir + \"all_results_mnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_mnist_no_flanders.csv\"\n","results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)\n","results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","mnist_df = pd.concat([results_flanders_df, results_no_flanders_df])\n","mnist_df"]},{"cell_type":"code","execution_count":7,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":9,"status":"ok","timestamp":1716115669854,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"hg3ysnqiNrms","outputId":"bae8ab71-ce7b-409a-b154-6ad42f9dfc3b"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'dnc']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc']\n"]}],"source":["print_unique_data(mnist_df)"]},{"cell_type":"markdown","metadata":{"id":"dE_uqUeuyl6M"},"source":["### Step-by-step processing"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"R9Cpe8bF8a2z"},"outputs":[],"source":["results_flanders_file = results_dir + \"all_results_mnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_mnist_no_flanders.csv\""]},{"cell_type":"code","execution_count":null,"metadata":{"id":"8nPsIraZ7nJK"},"outputs":[],"source":["results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1707513800371,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"oC_C6WVMshle","outputId":"20708ffb-24d9-4d94-fc83-6ab93c8d4ed0"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['mnist']\n","Unique values in strategy: ['flanders']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate'\n"," 'flwr.server.strategy.aggregate.aggregate_trimmed_avg'\n"," 'flwr.server.strategy.aggregate.aggregate_median'\n"," 'flwr.server.strategy.aggregate.aggregate_bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc'\n"," 'flwr.server.strategy.aggregate.aggregate_krum']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":423,"status":"ok","timestamp":1707478795736,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"2xSStl9-52cc","outputId":"391a3d7c-c4b5-486c-85a2-97d9a5ddb30d"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 40 60 80]\n","Unique values in dataset_name: ['mnist']\n","Unique values in strategy: ['fedavg' 'trimmedmean' 'fedmedian' 'bulyan' 'dnc' 'krum']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"8dEepZY28raZ"},"source":["Translate strings"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"zNPGc6YJ7E_J"},"outputs":[],"source":["results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"AQaNnF1K7TQc"},"outputs":[],"source":["results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":393,"status":"ok","timestamp":1707478246670,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"MXYnAzh8V-9t","outputId":"8f09ab5c-cd3e-4627-9f76-5f474ec09227"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FLANDERS']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":8,"status":"ok","timestamp":1707472989224,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"7xmPF5X77VQk","outputId":"f8e8331e-cde6-4413-f795-f0fe1a9cdd19"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 40 60 80]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n","Unique values in aggregate_fn: ['FedAvg']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"mjTmoV2M9YTk"},"source":["Concatenate the 2 dataframes, namely FLANDERS+f and baselines:"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"apvpT9Ve8wwv"},"outputs":[],"source":["mnist_df = pd.concat([results_flanders_df, results_no_flanders_df])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":424},"executionInfo":{"elapsed":5,"status":"ok","timestamp":1707513807441,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"aZuW73BW9Iu3","outputId":"3f558906-0d55-4ccd-e64f-5b62203ae746"},"outputs":[{"data":{"text/html":["\n","
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00720.2770980.10850.5048670000GAUSSMNIST0FLANDERSFedAvg
11675.0509400.45480.6994830000GAUSSMNIST0FLANDERSFedAvg
22647.6366430.52110.7358450000GAUSSMNIST0FLANDERSFedAvg
33614.4347950.56950.761650010000GAUSSMNIST0FLANDERSFedAvg
44584.1685070.60690.781741020000GAUSSMNIST0FLANDERSFedAvg
..........................................
397346292.8117450.74960.8612950000AGR-MMMNIST20MultiKrumFedAvg
397447289.7818840.75920.8668850000AGR-MMMNIST20MultiKrumFedAvg
397548287.8744360.76080.8679520000AGR-MMMNIST20MultiKrumFedAvg
397649288.8327780.74960.8615780000AGR-MMMNIST20MultiKrumFedAvg
397750290.4446540.74350.8580720000AGR-MMMNIST20MultiKrumFedAvg
\n","

8007 rows × 13 columns

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\n"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 720.277098 0.1085 0.504867 0 0 0 0 GAUSS \n","1 1 675.050940 0.4548 0.699483 0 0 0 0 GAUSS \n","2 2 647.636643 0.5211 0.735845 0 0 0 0 GAUSS \n","3 3 614.434795 0.5695 0.761650 0 100 0 0 GAUSS \n","4 4 584.168507 0.6069 0.781741 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3973 46 292.811745 0.7496 0.861295 0 0 0 0 AGR-MM \n","3974 47 289.781884 0.7592 0.866885 0 0 0 0 AGR-MM \n","3975 48 287.874436 0.7608 0.867952 0 0 0 0 AGR-MM \n","3976 49 288.832778 0.7496 0.861578 0 0 0 0 AGR-MM \n","3977 50 290.444654 0.7435 0.858072 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 MNIST 0 FLANDERS FedAvg \n","1 MNIST 0 FLANDERS FedAvg \n","2 MNIST 0 FLANDERS FedAvg \n","3 MNIST 0 FLANDERS FedAvg \n","4 MNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3973 MNIST 20 MultiKrum FedAvg \n","3974 MNIST 20 MultiKrum FedAvg \n","3975 MNIST 20 MultiKrum FedAvg \n","3976 MNIST 20 MultiKrum FedAvg \n","3977 MNIST 20 MultiKrum FedAvg \n","\n","[8007 rows x 13 columns]"]},"execution_count":54,"metadata":{},"output_type":"execute_result"}],"source":["mnist_df"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1707480685917,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"Ub0W-iA69LpR","outputId":"bfbcaf9e-575c-4d02-e9f0-0be7e74accb4"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80 40]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n"]}],"source":["print_unique_data(mnist_df)"]},{"cell_type":"markdown","metadata":{"id":"E3TZ_fJuTVuU"},"source":["## Fashion MNIST"]},{"cell_type":"markdown","metadata":{"id":"45GAIKG9Tmyb"},"source":["### Use this shortcut"]},{"cell_type":"code","execution_count":8,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":327,"status":"ok","timestamp":1716376732776,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"Qju5S7VmTpB_","outputId":"fbe0aed8-164c-4343-9949-e9fa7cc7f0a7"},"outputs":[{"data":{"text/html":["
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
0023082.3338130.06310.4795000000GAUSSFMNIST0FLANDERSFedAvg
1121920.1315610.19770.5542780000GAUSSFMNIST0FLANDERSFedAvg
2217859.0960200.42100.6783330000GAUSSFMNIST0FLANDERSFedAvg
3315559.0449260.49200.717778010000GAUSSFMNIST0FLANDERSFedAvg
4414684.1937220.50010.722278020000GAUSSFMNIST0FLANDERSFedAvg
..........................................
35654623279.5649070.10000.5000000000AGR-MMFMNIST80dncFedAvg
35664723290.9804420.10000.5000000000AGR-MMFMNIST80dncFedAvg
35674823302.2510220.10000.5000000000AGR-MMFMNIST80dncFedAvg
35684923312.5125960.10000.5000000000AGR-MMFMNIST80dncFedAvg
35695023326.1161770.10000.5000000000AGR-MMFMNIST80dncFedAvg
\n","

6884 rows × 13 columns

\n","
"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 23082.333813 0.0631 0.479500 0 0 0 0 GAUSS \n","1 1 21920.131561 0.1977 0.554278 0 0 0 0 GAUSS \n","2 2 17859.096020 0.4210 0.678333 0 0 0 0 GAUSS \n","3 3 15559.044926 0.4920 0.717778 0 100 0 0 GAUSS \n","4 4 14684.193722 0.5001 0.722278 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 23279.564907 0.1000 0.500000 0 0 0 0 AGR-MM \n","3566 47 23290.980442 0.1000 0.500000 0 0 0 0 AGR-MM \n","3567 48 23302.251022 0.1000 0.500000 0 0 0 0 AGR-MM \n","3568 49 23312.512596 0.1000 0.500000 0 0 0 0 AGR-MM \n","3569 50 23326.116177 0.1000 0.500000 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 FMNIST 0 FLANDERS FedAvg \n","1 FMNIST 0 FLANDERS FedAvg \n","2 FMNIST 0 FLANDERS FedAvg \n","3 FMNIST 0 FLANDERS FedAvg \n","4 FMNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 FMNIST 80 dnc FedAvg \n","3566 FMNIST 80 dnc FedAvg \n","3567 FMNIST 80 dnc FedAvg \n","3568 FMNIST 80 dnc FedAvg \n","3569 FMNIST 80 dnc FedAvg \n","\n","[6884 rows x 13 columns]"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["# CSV pre-processing FMNIST\n","results_flanders_file = results_dir + \"all_results_fmnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_fmnist_no_flanders.csv\"\n","results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)\n","results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","fmnist_df = pd.concat([results_flanders_df, results_no_flanders_df])\n","fmnist_df"]},{"cell_type":"code","execution_count":9,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1,"status":"ok","timestamp":1716047458204,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"08YXqMTZNpN6","outputId":"9de6cdc8-241e-4867-cd53-645434b99ce2"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['FMNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'dnc']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan']\n"]}],"source":["print_unique_data(fmnist_df)"]},{"cell_type":"markdown","metadata":{"id":"9vVX6wsxT-rc"},"source":["### Step-by-step processing"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"j0ZnLmVnUBT3"},"outputs":[],"source":["results_flanders_file = results_dir + \"all_results_fmnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_fmnist_no_flanders.csv\""]},{"cell_type":"code","execution_count":null,"metadata":{"id":"qsYaQiAWUBOw"},"outputs":[],"source":["results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":250,"status":"ok","timestamp":1709217712591,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"m1VKWq_jUHyY","outputId":"5bd5b442-4ab4-473d-bc60-b6f5fdc6320d"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['flanders']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate'\n"," 'flwr.server.strategy.aggregate.aggregate_trimmed_avg'\n"," 'flwr.server.strategy.aggregate.aggregate_median'\n"," 'flwr.server.strategy.aggregate.aggregate_krum'\n"," 'flwr.server.strategy.aggregate.aggregate_bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1709217720407,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"IxPT9D6DUJN3","outputId":"ded1f8b2-baf5-437b-abe3-25bad7a3c4ad"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['fedavg' 'trimmedmean' 'fedmedian' 'krum' 'bulyan' 'dnc']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"X8k98LNrUaLp"},"source":["Translate strings"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"zHNwpvZMUaLq"},"outputs":[],"source":["results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"9zMOOjCiUaLr"},"outputs":[],"source":["results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1709217802421,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"tygeoDz6UaLr","outputId":"2441a31a-ead0-4adf-8b95-73d75c6b3739"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['FLANDERS']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1709217803343,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"b8Xo1VseUaLr","outputId":"1fbb0a64-0695-4a89-eec1-e0a18ba54c40"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n","Unique values in aggregate_fn: ['FedAvg']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"zkmqmUTzUaLr"},"source":["Concatenate the 2 dataframes, namely FLANDERS+f and baselines:"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"m-wRVa9eUaLr"},"outputs":[],"source":["fmnist_df = pd.concat([results_flanders_df, results_no_flanders_df])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1709217813677,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"IhpjH5n1UaLs","outputId":"73f9a359-9f74-4e5e-b518-25af272b2207"},"outputs":[{"data":{"application/vnd.google.colaboratory.intrinsic+json":{"summary":"{\n \"name\": \"fmnist_df\",\n \"rows\": 7497,\n \"fields\": [\n {\n \"column\": \"round\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 14,\n \"min\": 0,\n \"max\": 50,\n \"num_unique_values\": 51,\n \"samples\": [\n 43,\n 40,\n 46\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"loss\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 5.098805154030721e+18,\n \"min\": 232.3792065680027,\n \"max\": 4.3645751884391645e+19,\n \"num_unique_values\": 7267,\n \"samples\": [\n 257.05002358555794,\n 303.2543874382973,\n 376.6231798529625\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"accuracy\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.2308533481360291,\n \"min\": 0.038,\n \"max\": 0.7626,\n \"num_unique_values\": 2608,\n \"samples\": [\n 0.3327,\n 0.4714,\n 0.5971\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"auc\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.12825186007557174,\n \"min\": 0.4655555555555556,\n \"max\": 0.8681111111111113,\n \"num_unique_values\": 3478,\n \"samples\": [\n 0.553,\n 0.8093333333333333,\n 0.7679999999999999\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"TP\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 944,\n \"min\": 0,\n \"max\": 3840,\n \"num_unique_values\": 292,\n \"samples\": [\n 1380,\n 165,\n 900\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"TN\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 943,\n \"min\": 0,\n \"max\": 4800,\n \"num_unique_values\": 439,\n \"samples\": [\n 195,\n 2960,\n 2584\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"FP\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 88,\n \"min\": 0,\n \"max\": 835,\n \"num_unique_values\": 259,\n \"samples\": [\n 333,\n 782,\n 156\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"FN\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 88,\n \"min\": 0,\n \"max\": 835,\n \"num_unique_values\": 259,\n \"samples\": [\n 333,\n 782,\n 156\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"attack_fn\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 4,\n \"samples\": [\n \"LIE\",\n \"AGR-MM\",\n \"GAUSS\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"dataset_name\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"fmnist\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"num_malicious\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 28,\n \"min\": 0,\n \"max\": 80,\n \"num_unique_values\": 4,\n \"samples\": [\n 20\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"strategy\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 7,\n \"samples\": [\n \"FLANDERS\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"aggregate_fn\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 6,\n \"samples\": [\n \"FedAvg\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}","type":"dataframe","variable_name":"fmnist_df"},"text/html":["\n","
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00722.5733350.09600.4977780000GAUSSfmnist0FLANDERSFedAvg
11679.1645870.22190.5677220000GAUSSfmnist0FLANDERSFedAvg
22559.4500050.45820.6990000000GAUSSfmnist0FLANDERSFedAvg
33473.0433670.53890.743833010000GAUSSfmnist0FLANDERSFedAvg
44438.4357100.56860.760333020000GAUSSfmnist0FLANDERSFedAvg
..........................................
356546729.7860360.10000.5000000000AGR-MMfmnist80DnCFedAvg
356647730.0917940.10000.5000000000AGR-MMfmnist80DnCFedAvg
356748730.4244920.10000.5000000000AGR-MMfmnist80DnCFedAvg
356849730.7109820.10000.5000000000AGR-MMfmnist80DnCFedAvg
356950731.0777110.10000.5000000000AGR-MMfmnist80DnCFedAvg
\n","

7497 rows × 13 columns

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\n"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 722.573335 0.0960 0.497778 0 0 0 0 GAUSS \n","1 1 679.164587 0.2219 0.567722 0 0 0 0 GAUSS \n","2 2 559.450005 0.4582 0.699000 0 0 0 0 GAUSS \n","3 3 473.043367 0.5389 0.743833 0 100 0 0 GAUSS \n","4 4 438.435710 0.5686 0.760333 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 729.786036 0.1000 0.500000 0 0 0 0 AGR-MM \n","3566 47 730.091794 0.1000 0.500000 0 0 0 0 AGR-MM \n","3567 48 730.424492 0.1000 0.500000 0 0 0 0 AGR-MM \n","3568 49 730.710982 0.1000 0.500000 0 0 0 0 AGR-MM \n","3569 50 731.077711 0.1000 0.500000 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 fmnist 0 FLANDERS FedAvg \n","1 fmnist 0 FLANDERS FedAvg \n","2 fmnist 0 FLANDERS FedAvg \n","3 fmnist 0 FLANDERS FedAvg \n","4 fmnist 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 fmnist 80 DnC FedAvg \n","3566 fmnist 80 DnC FedAvg \n","3567 fmnist 80 DnC FedAvg \n","3568 fmnist 80 DnC FedAvg \n","3569 fmnist 80 DnC FedAvg \n","\n","[7497 rows x 13 columns]"]},"execution_count":20,"metadata":{},"output_type":"execute_result"}],"source":["fmnist_df"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6,"status":"ok","timestamp":1709217818750,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"XYwnEFa2UaLs","outputId":"44dcb4de-f892-4555-b5d8-8cfcacd37137"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n"]}],"source":["print_unique_data(fmnist_df)"]},{"cell_type":"code","execution_count":20,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":249,"status":"ok","timestamp":1716376734931,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"VY5G4tF1yVHN","outputId":"cf11f084-16b5-45b2-e1ae-6d9455909720"},"outputs":[{"ename":"FileNotFoundError","evalue":"[Errno 2] No such file or directory: '../outputs/all_results_cifar_flanders.csv'","output_type":"error","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)","Cell \u001b[0;32mIn[20], line 4\u001b[0m\n\u001b[1;32m 2\u001b[0m results_flanders_file \u001b[38;5;241m=\u001b[39m results_dir \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mall_results_cifar_flanders.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 3\u001b[0m results_no_flanders_file \u001b[38;5;241m=\u001b[39m results_dir \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mall_results_cifar_no_flanders.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m----> 4\u001b[0m results_flanders_df \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_csv\u001b[49m\u001b[43m(\u001b[49m\u001b[43mresults_flanders_file\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 5\u001b[0m results_no_flanders_df \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mread_csv(results_no_flanders_file)\n\u001b[1;32m 6\u001b[0m results_flanders_df \u001b[38;5;241m=\u001b[39m translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:948\u001b[0m, in \u001b[0;36mread_csv\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend)\u001b[0m\n\u001b[1;32m 935\u001b[0m kwds_defaults \u001b[38;5;241m=\u001b[39m _refine_defaults_read(\n\u001b[1;32m 936\u001b[0m dialect,\n\u001b[1;32m 937\u001b[0m delimiter,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 944\u001b[0m dtype_backend\u001b[38;5;241m=\u001b[39mdtype_backend,\n\u001b[1;32m 945\u001b[0m )\n\u001b[1;32m 946\u001b[0m kwds\u001b[38;5;241m.\u001b[39mupdate(kwds_defaults)\n\u001b[0;32m--> 948\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_read\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:611\u001b[0m, in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m 608\u001b[0m _validate_names(kwds\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnames\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m))\n\u001b[1;32m 610\u001b[0m \u001b[38;5;66;03m# Create the parser.\u001b[39;00m\n\u001b[0;32m--> 611\u001b[0m parser \u001b[38;5;241m=\u001b[39m \u001b[43mTextFileReader\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 613\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m chunksize \u001b[38;5;129;01mor\u001b[39;00m iterator:\n\u001b[1;32m 614\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m parser\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:1448\u001b[0m, in \u001b[0;36mTextFileReader.__init__\u001b[0;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[1;32m 1445\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m kwds[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[1;32m 1447\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles: IOHandles \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m-> 1448\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_engine \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_make_engine\u001b[49m\u001b[43m(\u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mengine\u001b[49m\u001b[43m)\u001b[49m\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:1705\u001b[0m, in \u001b[0;36mTextFileReader._make_engine\u001b[0;34m(self, f, engine)\u001b[0m\n\u001b[1;32m 1703\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m mode:\n\u001b[1;32m 1704\u001b[0m mode \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m-> 1705\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;241m=\u001b[39m \u001b[43mget_handle\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1706\u001b[0m \u001b[43m \u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1707\u001b[0m \u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1708\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1709\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompression\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcompression\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1710\u001b[0m \u001b[43m \u001b[49m\u001b[43mmemory_map\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmemory_map\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1711\u001b[0m \u001b[43m \u001b[49m\u001b[43mis_text\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mis_text\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1712\u001b[0m \u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding_errors\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstrict\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1713\u001b[0m \u001b[43m \u001b[49m\u001b[43mstorage_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstorage_options\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1714\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1715\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 1716\u001b[0m f \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles\u001b[38;5;241m.\u001b[39mhandle\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/common.py:863\u001b[0m, in \u001b[0;36mget_handle\u001b[0;34m(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)\u001b[0m\n\u001b[1;32m 858\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(handle, \u001b[38;5;28mstr\u001b[39m):\n\u001b[1;32m 859\u001b[0m \u001b[38;5;66;03m# Check whether the filename is to be opened in binary mode.\u001b[39;00m\n\u001b[1;32m 860\u001b[0m \u001b[38;5;66;03m# Binary mode does not support 'encoding' and 'newline'.\u001b[39;00m\n\u001b[1;32m 861\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mencoding \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mmode:\n\u001b[1;32m 862\u001b[0m \u001b[38;5;66;03m# Encoding\u001b[39;00m\n\u001b[0;32m--> 863\u001b[0m handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\n\u001b[1;32m 864\u001b[0m \u001b[43m \u001b[49m\u001b[43mhandle\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 865\u001b[0m \u001b[43m \u001b[49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 866\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 867\u001b[0m \u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 868\u001b[0m \u001b[43m \u001b[49m\u001b[43mnewline\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 869\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 870\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 871\u001b[0m \u001b[38;5;66;03m# Binary mode\u001b[39;00m\n\u001b[1;32m 872\u001b[0m handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mopen\u001b[39m(handle, ioargs\u001b[38;5;241m.\u001b[39mmode)\n","\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '../outputs/all_results_cifar_flanders.csv'"]}],"source":["# CSV pre-processing CIFAR-10\n","results_flanders_file = results_dir + \"all_results_cifar_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_cifar_no_flanders.csv\"\n","results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)\n","results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","cifar_df = pd.concat([results_flanders_df, results_no_flanders_df])\n","cifar_df"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1716047460925,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"y7wfUI0eyeEp","outputId":"48c324d7-5816-406e-dd8a-284172967e90"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80 40]\n","Unique values in dataset_name: ['CIFAR-10']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'DnC' 'MultiKrum' 'Bulyan'\n"," 'FLDetector']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n"]}],"source":["print_unique_data(cifar_df)"]},{"cell_type":"markdown","metadata":{"id":"1TUxrAF6w6cY"},"source":["## Unify datasets"]},{"cell_type":"code","execution_count":10,"metadata":{"id":"R2wOP2Eex7X2"},"outputs":[],"source":["all_datasets_df = pd.concat([mnist_df, fmnist_df])"]},{"cell_type":"code","execution_count":11,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":428,"status":"ok","timestamp":1716376740426,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"jwDN17ygyFK7","outputId":"c3db739f-98b7-4070-f826-4344553e9ab7"},"outputs":[{"data":{"text/html":["
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00720.8331210.10450.5034220000GAUSSMNIST0FLANDERSFedAvg
11664.5222520.20890.5631160000GAUSSMNIST0FLANDERSFedAvg
22624.6338260.35600.6447310000GAUSSMNIST0FLANDERSFedAvg
33581.4764720.47730.710941010000GAUSSMNIST0FLANDERSFedAvg
44545.1142050.54300.746970020000GAUSSMNIST0FLANDERSFedAvg
..........................................
35654623279.5649070.10000.5000000000AGR-MMFMNIST80dncFedAvg
35664723290.9804420.10000.5000000000AGR-MMFMNIST80dncFedAvg
35674823302.2510220.10000.5000000000AGR-MMFMNIST80dncFedAvg
35684923312.5125960.10000.5000000000AGR-MMFMNIST80dncFedAvg
35695023326.1161770.10000.5000000000AGR-MMFMNIST80dncFedAvg
\n","

14432 rows × 13 columns

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"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 720.833121 0.1045 0.503422 0 0 0 0 GAUSS \n","1 1 664.522252 0.2089 0.563116 0 0 0 0 GAUSS \n","2 2 624.633826 0.3560 0.644731 0 0 0 0 GAUSS \n","3 3 581.476472 0.4773 0.710941 0 100 0 0 GAUSS \n","4 4 545.114205 0.5430 0.746970 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 23279.564907 0.1000 0.500000 0 0 0 0 AGR-MM \n","3566 47 23290.980442 0.1000 0.500000 0 0 0 0 AGR-MM \n","3567 48 23302.251022 0.1000 0.500000 0 0 0 0 AGR-MM \n","3568 49 23312.512596 0.1000 0.500000 0 0 0 0 AGR-MM \n","3569 50 23326.116177 0.1000 0.500000 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 MNIST 0 FLANDERS FedAvg \n","1 MNIST 0 FLANDERS FedAvg \n","2 MNIST 0 FLANDERS FedAvg \n","3 MNIST 0 FLANDERS FedAvg \n","4 MNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 FMNIST 80 dnc FedAvg \n","3566 FMNIST 80 dnc FedAvg \n","3567 FMNIST 80 dnc FedAvg \n","3568 FMNIST 80 dnc FedAvg \n","3569 FMNIST 80 dnc FedAvg \n","\n","[14432 rows x 13 columns]"]},"execution_count":11,"metadata":{},"output_type":"execute_result"}],"source":["all_datasets_df"]},{"cell_type":"code","execution_count":12,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2,"status":"ok","timestamp":1716376741411,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"VWrdDPtPyHHA","outputId":"1ef8b853-63f8-4eac-a785-578684dbf0a6"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['MNIST' 'FMNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'dnc']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc']\n"]}],"source":["print_unique_data(all_datasets_df)"]},{"cell_type":"markdown","metadata":{"id":"OlES57TEn2Ng"},"source":["# Tables\n"]},{"cell_type":"markdown","metadata":{"id":"hcHkTXfGbapg"},"source":["## Accuracy"]},{"cell_type":"markdown","metadata":{"id":"7F1YDs12sZbE"},"source":["### Best with improvment w.r.t. baseline"]},{"cell_type":"code","execution_count":13,"metadata":{"id":"GuQM8bzXnIGx"},"outputs":[],"source":["def accuracy_table(input_df, b):\n"," # Define strategies and attacks\n"," strategies = ['FedAvg', 'FLANDERS + FedAvg', 'FedMedian', 'FLANDERS + FedMedian', 'TrimmedMean', 'FLANDERS + TrimmedMean', 'MultiKrum', 'FLANDERS + MultiKrum', 'Bulyan', 'FLANDERS + Bulyan']\n"," attacks = ['GAUSS', 'LIE', 'OPT', 'AGR-MM']\n"," dataset_names = [\"MNIST\", \"FMNIST\"]\n","\n"," # Create MultiIndex for the columns\n"," columns = pd.MultiIndex.from_product([dataset_names, attacks], names=['Dataset', 'Attack'])\n","\n"," # Create an empty DataFrame with the defined columns and strategies\n"," df = pd.DataFrame(index=strategies, columns=columns)\n","\n"," filtered_df = input_df[(input_df['num_malicious'] == b) & (input_df['round'] >= 3)]\n"," baseline_df = filtered_df[filtered_df['strategy'] != 'FLANDERS']\n"," flanders_df = filtered_df[filtered_df['strategy'] == 'FLANDERS']\n","\n"," # Populate the DataFrame\n"," for strategy in ['FedAvg', 'TrimmedMean', 'FedMedian', 'MultiKrum', 'Bulyan']:\n"," for dataset in dataset_names:\n"," for attack in attacks:\n"," df.loc[strategy, (dataset, attack)] = round(baseline_df[(baseline_df['strategy']==strategy) & (baseline_df['attack_fn']==attack) & (baseline_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n"," df.loc[f\"FLANDERS + {strategy}\", (dataset, attack)] = round(flanders_df[(flanders_df['aggregate_fn']==strategy) & (flanders_df['attack_fn']==attack) & (flanders_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n","\n"," return df\n"]},{"cell_type":"code","execution_count":14,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":457},"executionInfo":{"elapsed":1243,"status":"ok","timestamp":1715943873268,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"PruXJg2vA87b","outputId":"98d83851-626b-4877-fd09-8f2f01200c65"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSGAUSS
FedAvg0.860.68
FLANDERS + FedAvg0.840.64
FedMedian0.830.71
FLANDERS + FedMedian0.760.73
TrimmedMean0.850.69
FLANDERS + TrimmedMean0.780.7
MultiKrum0.680.66
FLANDERS + MultiKrum0.740.73
Bulyan0.860.62
FLANDERS + Bulyan0.870.65
\n","
"],"text/plain":["Dataset MNIST FMNIST\n","Attack GAUSS GAUSS\n","FedAvg 0.86 0.68\n","FLANDERS + FedAvg 0.84 0.64\n","FedMedian 0.83 0.71\n","FLANDERS + FedMedian 0.76 0.73\n","TrimmedMean 0.85 0.69\n","FLANDERS + TrimmedMean 0.78 0.7\n","MultiKrum 0.68 0.66\n","FLANDERS + MultiKrum 0.74 0.73\n","Bulyan 0.86 0.62\n","FLANDERS + Bulyan 0.87 0.65"]},"execution_count":14,"metadata":{},"output_type":"execute_result"}],"source":["# Table 19\n","acc_0 = accuracy_table(all_datasets_df, 0)\n","acc_0.dropna(axis=1, how='all')"]},{"cell_type":"code","execution_count":15,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":457},"executionInfo":{"elapsed":858,"status":"ok","timestamp":1715944158330,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"8bV7hABWbyMS","outputId":"6d24f87d-da15-40b2-8880-3b6dcefda1fd"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSLIEOPTAGR-MMGAUSSLIEOPTAGR-MM
FedAvg0.20.170.670.450.250.170.570.11
FLANDERS + FedAvg0.880.870.480.880.660.670.570.64
FedMedian0.80.660.790.590.660.650.670.6
FLANDERS + FedMedian0.850.850.660.830.710.690.630.73
TrimmedMean0.860.520.730.610.690.540.620.58
FLANDERS + TrimmedMean0.810.850.780.830.690.70.630.73
MultiKrum0.780.770.810.820.740.650.70.67
FLANDERS + MultiKrum0.820.860.840.820.730.70.730.71
Bulyan0.820.840.840.830.710.720.690.76
FLANDERS + Bulyan0.90.840.790.850.650.650.660.65
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","Attack GAUSS LIE OPT AGR-MM GAUSS LIE OPT AGR-MM\n","FedAvg 0.2 0.17 0.67 0.45 0.25 0.17 0.57 0.11\n","FLANDERS + FedAvg 0.88 0.87 0.48 0.88 0.66 0.67 0.57 0.64\n","FedMedian 0.8 0.66 0.79 0.59 0.66 0.65 0.67 0.6\n","FLANDERS + FedMedian 0.85 0.85 0.66 0.83 0.71 0.69 0.63 0.73\n","TrimmedMean 0.86 0.52 0.73 0.61 0.69 0.54 0.62 0.58\n","FLANDERS + TrimmedMean 0.81 0.85 0.78 0.83 0.69 0.7 0.63 0.73\n","MultiKrum 0.78 0.77 0.81 0.82 0.74 0.65 0.7 0.67\n","FLANDERS + MultiKrum 0.82 0.86 0.84 0.82 0.73 0.7 0.73 0.71\n","Bulyan 0.82 0.84 0.84 0.83 0.71 0.72 0.69 0.76\n","FLANDERS + Bulyan 0.9 0.84 0.79 0.85 0.65 0.65 0.66 0.65"]},"execution_count":15,"metadata":{},"output_type":"execute_result"}],"source":["# Table 15\n","acc_20 = accuracy_table(all_datasets_df, 20)\n","acc_20"]},{"cell_type":"code","execution_count":16,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1126,"status":"ok","timestamp":1716115710006,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"xSvgEwLoPmh3","outputId":"1c65e66e-7374-46f0-a2a5-0964bc40e49a"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSLIEOPTAGR-MMGAUSSLIEOPTAGR-MM
FedAvg0.190.150.20.160.280.10.190.1
FLANDERS + FedAvg0.760.880.850.850.690.670.710.67
FedMedian0.80.190.160.290.650.10.10.1
FLANDERS + FedMedian0.80.860.830.860.710.690.710.71
TrimmedMean0.250.20.330.10.330.10.170.1
FLANDERS + TrimmedMean0.780.870.840.830.70.710.730.74
MultiKrum0.790.140.220.150.710.10.120.1
FLANDERS + MultiKrum0.880.880.860.780.720.710.730.69
BulyanNaNNaNNaNNaNNaNNaNNaNNaN
FLANDERS + Bulyan0.890.870.90.850.680.640.60.69
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","Attack GAUSS LIE OPT AGR-MM GAUSS LIE OPT AGR-MM\n","FedAvg 0.19 0.15 0.2 0.16 0.28 0.1 0.19 0.1\n","FLANDERS + FedAvg 0.76 0.88 0.85 0.85 0.69 0.67 0.71 0.67\n","FedMedian 0.8 0.19 0.16 0.29 0.65 0.1 0.1 0.1\n","FLANDERS + FedMedian 0.8 0.86 0.83 0.86 0.71 0.69 0.71 0.71\n","TrimmedMean 0.25 0.2 0.33 0.1 0.33 0.1 0.17 0.1\n","FLANDERS + TrimmedMean 0.78 0.87 0.84 0.83 0.7 0.71 0.73 0.74\n","MultiKrum 0.79 0.14 0.22 0.15 0.71 0.1 0.12 0.1\n","FLANDERS + MultiKrum 0.88 0.88 0.86 0.78 0.72 0.71 0.73 0.69\n","Bulyan NaN NaN NaN NaN NaN NaN NaN NaN\n","FLANDERS + Bulyan 0.89 0.87 0.9 0.85 0.68 0.64 0.6 0.69"]},"execution_count":16,"metadata":{},"output_type":"execute_result"}],"source":["# Table 17\n","acc_60 = accuracy_table(all_datasets_df, 60)\n","acc_60"]},{"cell_type":"code","execution_count":17,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1188,"status":"ok","timestamp":1716050662469,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"dM_AMm_jcCye","outputId":"90533ef1-500f-40a3-f565-2c2ca1d68aaa"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSLIEOPTAGR-MMGAUSSLIEOPTAGR-MM
FedAvg0.210.160.310.130.240.10.180.1
FLANDERS + FedAvg0.850.860.880.850.690.70.690.66
FedMedian0.340.170.140.090.30.10.140.1
FLANDERS + FedMedian0.870.840.80.80.730.740.720.72
TrimmedMean0.170.150.210.140.210.10.120.1
FLANDERS + TrimmedMean0.810.850.810.820.740.730.70.69
MultiKrum0.820.210.320.110.720.10.150.1
FLANDERS + MultiKrum0.870.830.870.850.680.730.720.7
BulyanNaNNaNNaNNaNNaNNaNNaNNaN
FLANDERS + Bulyan0.840.840.830.80.690.720.690.68
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","Attack GAUSS LIE OPT AGR-MM GAUSS LIE OPT AGR-MM\n","FedAvg 0.21 0.16 0.31 0.13 0.24 0.1 0.18 0.1\n","FLANDERS + FedAvg 0.85 0.86 0.88 0.85 0.69 0.7 0.69 0.66\n","FedMedian 0.34 0.17 0.14 0.09 0.3 0.1 0.14 0.1\n","FLANDERS + FedMedian 0.87 0.84 0.8 0.8 0.73 0.74 0.72 0.72\n","TrimmedMean 0.17 0.15 0.21 0.14 0.21 0.1 0.12 0.1\n","FLANDERS + TrimmedMean 0.81 0.85 0.81 0.82 0.74 0.73 0.7 0.69\n","MultiKrum 0.82 0.21 0.32 0.11 0.72 0.1 0.15 0.1\n","FLANDERS + MultiKrum 0.87 0.83 0.87 0.85 0.68 0.73 0.72 0.7\n","Bulyan NaN NaN NaN NaN NaN NaN NaN NaN\n","FLANDERS + Bulyan 0.84 0.84 0.83 0.8 0.69 0.72 0.69 0.68"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["# Table 3\n","acc_80 = accuracy_table(all_datasets_df, 80)\n","acc_80"]},{"cell_type":"markdown","metadata":{"id":"CZX8c37MsgFL"},"source":["### Best w.r.t. number of attackers"]},{"cell_type":"code","execution_count":18,"metadata":{"id":"xgIKM1obsmd2"},"outputs":[],"source":["def accuracy_table_attackers(input_df, aggregate_fn):\n"," # Define strategies and attacks\n"," attacks = ['GAUSS', 'LIE', 'OPT', 'AGR-MM']\n"," dataset_names = [\"MNIST\", \"FMNIST\"]\n"," num_malicious = [0, 20, 60, 80]\n","\n"," # Create MultiIndex for the columns\n"," columns = pd.MultiIndex.from_product([dataset_names, num_malicious], names=['Dataset', '# Malicious'])\n","\n"," #######\n"," #columns = pd.MultiIndex.from_product([['MNIST', 'CIFAR-10'], ['GAUSS', 'LIE', 'OPT', 'AGR-MM'], ['LAST', 'BEST']])\n"," #######\n","\n","\n"," # Create an empty DataFrame with the defined columns and strategies\n"," df = pd.DataFrame(index=attacks, columns=columns)\n","\n"," filtered_df = input_df[(input_df['aggregate_fn'] == aggregate_fn) & (input_df['round'] >= 3)]\n"," baseline_df = filtered_df[filtered_df['strategy'] != 'FLANDERS']\n"," flanders_df = filtered_df[filtered_df['strategy'] == 'FLANDERS']\n","\n"," # Populate the DataFrame\n"," for dataset in dataset_names:\n"," for attack in attacks:\n"," for b in num_malicious:\n"," if b == 0:\n"," df.loc[attack, (dataset, b)] = round(flanders_df[(flanders_df['num_malicious']==b) & (flanders_df['attack_fn']=='GAUSS') & (flanders_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n"," else:\n"," df.loc[attack, (dataset, b)] = round(flanders_df[(flanders_df['num_malicious']==b) & (flanders_df['attack_fn']==attack) & (flanders_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n","\n"," return df"]},{"cell_type":"code","execution_count":19,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"executionInfo":{"elapsed":305,"status":"ok","timestamp":1715954054792,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"0n9vhQiQuxk_","outputId":"500dfb31-f525-4289-f337-2c945bf50cd2"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
# Malicious02060800206080
GAUSS0.740.820.880.870.730.730.720.68
LIE0.740.860.880.830.730.70.710.73
OPT0.740.840.860.870.730.730.730.72
AGR-MM0.740.820.780.850.730.710.690.7
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","# Malicious 0 20 60 80 0 20 60 80\n","GAUSS 0.74 0.82 0.88 0.87 0.73 0.73 0.72 0.68\n","LIE 0.74 0.86 0.88 0.83 0.73 0.7 0.71 0.73\n","OPT 0.74 0.84 0.86 0.87 0.73 0.73 0.73 0.72\n","AGR-MM 0.74 0.82 0.78 0.85 0.73 0.71 0.69 0.7"]},"execution_count":19,"metadata":{},"output_type":"execute_result"}],"source":["# Table 20\n","acc_att = accuracy_table_attackers(all_datasets_df, 'MultiKrum')\n","acc_att"]},{"cell_type":"markdown","metadata":{"id":"g6yDorrubUw1"},"source":["## Precision and Recall"]},{"cell_type":"code","execution_count":20,"metadata":{"id":"y0PlDlG0bKek"},"outputs":[],"source":["def pr_table(input_df, b):\n"," strategies = ['FLANDERS']\n"," attacks = ['GAUSS', 'LIE', 'OPT', 'AGR-MM']\n"," dataset_names = [\"MNIST\", \"FMNIST\"]\n","\n"," # Create MultiIndex for the columns\n"," columns = pd.MultiIndex.from_product([strategies, attacks, ['P', 'R']], names=['Strategy', 'Attack', 'P/R'])\n","\n"," # Create an empty DataFrame with the defined columns and strategies\n"," df = pd.DataFrame(index=dataset_names, columns=columns)\n","\n"," filtered_df = input_df[(input_df['num_malicious'] == b) & (input_df['round'] == 50) & (input_df['aggregate_fn']=='FedAvg')]\n"," flanders_df = filtered_df[filtered_df['strategy'] == 'FLANDERS']\n"," strat_dfs = [flanders_df]\n","\n"," # Populate the DataFrame\n"," for dataset in dataset_names:\n"," for attack in attacks:\n"," for idx, strategy in enumerate(strategies):\n"," tp = strat_dfs[idx][(strat_dfs[idx]['attack_fn']==attack) & (strat_dfs[idx]['dataset_name']==dataset)]['TP'].iloc[0]\n"," fp = strat_dfs[idx][(strat_dfs[idx]['attack_fn']==attack) & (strat_dfs[idx]['dataset_name']==dataset)]['FP'].iloc[0]\n"," fn = strat_dfs[idx][(strat_dfs[idx]['attack_fn']==attack) & (strat_dfs[idx]['dataset_name']==dataset)]['FN'].iloc[0]\n"," df.loc[dataset, (strategy, attack, 'P')] = round(tp / (tp+fp), 2)\n"," df.loc[dataset, (strategy, attack, 'R')] = round(tp / (tp+fn), 2)\n","\n"," return df"]},{"cell_type":"code","execution_count":21,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":257},"executionInfo":{"elapsed":248,"status":"ok","timestamp":1716367268457,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"rpQyziNRh3dn","outputId":"26e2c0f9-144d-4cad-d13f-1e2351aa2081"},"outputs":[{"data":{"text/html":["
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StrategyFLANDERS
AttackGAUSSLIEOPTAGR-MM
P/RPRPRPRPR
MNIST1.01.01.01.00.150.151.01.0
FMNIST1.01.01.01.00.160.161.01.0
\n","
"],"text/plain":["Strategy FLANDERS \n","Attack GAUSS LIE OPT AGR-MM \n","P/R P R P R P R P R\n","MNIST 1.0 1.0 1.0 1.0 0.15 0.15 1.0 1.0\n","FMNIST 1.0 1.0 1.0 1.0 0.16 0.16 1.0 1.0"]},"execution_count":21,"metadata":{},"output_type":"execute_result"}],"source":["# Table 1\n","pr_20 = pr_table(all_datasets_df, 20)\n","pr_20"]},{"cell_type":"code","execution_count":22,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":257},"executionInfo":{"elapsed":327,"status":"ok","timestamp":1716367273542,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"ccW0Ups3iMvZ","outputId":"ba945e17-1bbe-414f-9aa0-b03fb0fe107f"},"outputs":[{"data":{"text/html":["
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StrategyFLANDERS
AttackGAUSSLIEOPTAGR-MM
P/RPRPRPRPR
MNIST1.01.01.01.01.01.01.01.0
FMNIST1.01.01.01.01.01.01.01.0
\n","
"],"text/plain":["Strategy FLANDERS \n","Attack GAUSS LIE OPT AGR-MM \n","P/R P R P R P R P R\n","MNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0\n","FMNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0"]},"execution_count":22,"metadata":{},"output_type":"execute_result"}],"source":["# Table 2\n","pr_60 = pr_table(all_datasets_df, 60)\n","pr_60"]},{"cell_type":"code","execution_count":23,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":257},"executionInfo":{"elapsed":308,"status":"ok","timestamp":1716376750779,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"05a0Gv5piS2v","outputId":"0cf6555a-4cc8-4aa5-f9b6-c8286afa130a"},"outputs":[{"data":{"text/html":["
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StrategyFLANDERS
AttackGAUSSLIEOPTAGR-MM
P/RPRPRPRPR
MNIST1.01.01.01.01.01.01.01.0
FMNIST1.01.01.01.01.01.01.01.0
\n","
"],"text/plain":["Strategy FLANDERS \n","Attack GAUSS LIE OPT AGR-MM \n","P/R P R P R P R P R\n","MNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0\n","FMNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0"]},"execution_count":23,"metadata":{},"output_type":"execute_result"}],"source":["# Table 3\n","pr_80 = pr_table(all_datasets_df, 80)\n","pr_80"]},{"cell_type":"markdown","metadata":{"id":"bN7dTn2u0r6K"},"source":["# Plots"]},{"cell_type":"markdown","metadata":{"id":"xZ0wiadBsVUh"},"source":["## Accuracy over rounds"]},{"cell_type":"code","execution_count":24,"metadata":{"id":"LQ_uYJCtjdJS"},"outputs":[],"source":["df_mnist_acc_flanders = all_datasets_df[(all_datasets_df['strategy']=='FLANDERS') & (all_datasets_df['num_malicious']==80) & (all_datasets_df['dataset_name']=='MNIST') & (all_datasets_df['aggregate_fn']=='MultiKrum')]\n","df_mnist_acc_fedavg = all_datasets_df[(all_datasets_df['strategy']=='FedAvg') & (all_datasets_df['num_malicious']==80) & (all_datasets_df['dataset_name']=='MNIST')]\n","df_no_attack = all_datasets_df[(all_datasets_df['strategy']=='FedAvg') & (all_datasets_df['num_malicious']==0) & (all_datasets_df['dataset_name']=='MNIST')]"]},{"cell_type":"code","execution_count":25,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":408},"executionInfo":{"elapsed":651,"status":"ok","timestamp":1714668544212,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"NDkD_Qnd1iT7","outputId":"928cfa90-04a2-4624-9825-adb0d124aaf8"},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["# Figure 3\n","num_plots = 2\n","plt.style.use('default')\n","fig, axs = plt.subplots(1, num_plots, figsize=(11, 4))\n","\n","data = [df_mnist_acc_flanders, df_mnist_acc_fedavg]\n","\n","for i in range(num_plots):\n"," if i == 0:\n"," acc = df_no_attack[df_no_attack[\"attack_fn\"]=='GAUSS']['accuracy'].to_list()\n"," axs[i].plot(acc, label=\"No Attack\", linestyle='--', color='slategray')\n"," for attack in ['GAUSS', 'LIE', 'OPT', 'AGR-MM']:\n"," acc = data[i][data[i]['attack_fn']==attack]['accuracy'].to_list()\n"," x = [i for i in range(len(data))]\n"," axs[i].plot(acc, label=attack)\n"," axs[i].set_ylim((0,1.0))\n"," axs[i].set_xlabel('Round', fontsize=16)\n"," axs[i].set_ylabel('Accuracy', fontsize=16)\n"," axs[i].legend(prop={'size': 12})\n"," axs[i].tick_params(axis='both', which='major', labelsize=16)\n"," axs[i].tick_params(axis='both', which='minor', labelsize=16)\n","\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":[]}],"metadata":{"colab":{"authorship_tag":"ABX9TyODCHCYl18UhHkKwq6LlRvG","collapsed_sections":["P_3Z05w0wvNB","dE_uqUeuyl6M","9vVX6wsxT-rc","RctMDJMZyPq2","R9VNz7Cv9RHn","6V4padUiYeac","pZ863s6JJbph","EJDtdXqLJX0H"],"provenance":[]},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.9.18"}},"nbformat":4,"nbformat_minor":0} +{"cells":[{"cell_type":"markdown","metadata":{"id":"Cg37xeuu7Xy5"},"source":["# Preliminaries"]},{"cell_type":"code","execution_count":2,"metadata":{"id":"J_Dh3sGVyb2w"},"outputs":[],"source":["import pandas as pd\n","from natsort import natsorted\n","import matplotlib.pyplot as plt"]},{"cell_type":"code","execution_count":3,"metadata":{"id":"FjlCyr_B8OdT"},"outputs":[],"source":["results_dir = \"../outputs/\""]},{"cell_type":"markdown","metadata":{"id":"VX2oCpZf7Z7y"},"source":["# Prepare data"]},{"cell_type":"markdown","metadata":{"id":"P_3Z05w0wvNB"},"source":["## Utils"]},{"cell_type":"code","execution_count":4,"metadata":{"id":"fZSDCuT497HV"},"outputs":[],"source":["def print_unique_data(results_df):\n"," for col in [\"attack_fn\", \"num_malicious\", \"dataset_name\", \"strategy\", \"aggregate_fn\"]:\n"," print(f\"Unique values in {col}: {results_df[col].unique()}\")"]},{"cell_type":"code","execution_count":5,"metadata":{"id":"8GcIZNuu8q5Y"},"outputs":[],"source":["def translate_cols(df, attack_dict, dataset_dict, strategy_dict, aggregate_dict):\n"," column_names = [\"attack_fn\", \"dataset_name\", \"strategy\", \"aggregate_fn\"]\n"," for idx, d in enumerate([attack_dict, dataset_dict, strategy_dict, aggregate_dict]):\n"," df[column_names[idx]] = df[column_names[idx]].replace(d)\n"," return df"]},{"cell_type":"code","execution_count":6,"metadata":{"id":"oHcF2pl8sdOG"},"outputs":[],"source":["attack_dict = {\n"," \"gaussian\": \"GAUSS\",\n"," \"lie\": \"LIE\",\n"," \"fang\": \"OPT\",\n"," \"minmax\": \"AGR-MM\",\n"," \"adaptive\": \"MAR-ATK\"\n","}\n","\n","dataset_dict = {\n"," \"mnist\": \"MNIST\",\n"," \"fmnist\": \"FMNIST\",\n"," \"cifar\": \"CIFAR-10\",\n"," \"cifar100\": \"CIFAR-100\"\n","}\n","\n","strategy_dict = {\n"," \"flanders\": \"FLANDERS\",\n"," \"fedavg\": \"FedAvg\",\n"," \"fedmedian\": \"FedMedian\",\n"," \"trimmedmean\": \"TrimmedMean\",\n"," \"bulyan\": \"Bulyan\",\n"," \"krum\": \"MultiKrum\",\n"," \"fldetector\": \"FLDetector\"\n","}\n","\n","aggregate_dict = {\n"," \"flwr.server.strategy.aggregate.aggregate\": \"FedAvg\",\n"," \"flwr.server.strategy.aggregate.aggregate_median\": \"FedMedian\",\n"," \"flwr.server.strategy.aggregate.aggregate_trimmed_avg\": \"TrimmedMean\",\n"," \"flwr.server.strategy.aggregate.aggregate_bulyan\": \"Bulyan\",\n"," \"flwr.server.strategy.aggregate.aggregate_krum\": \"MultiKrum\"\n","}"]},{"cell_type":"markdown","metadata":{"id":"y0XCCkuhwydB"},"source":["## MNIST"]},{"cell_type":"markdown","metadata":{"id":"NG2-2cpnyjkY"},"source":["### Use this shortcut"]},{"cell_type":"code","execution_count":7,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":244,"status":"ok","timestamp":1716376729975,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"lY85nEb6yrXu","outputId":"5439a3bc-684f-492f-b615-53e2252cd94c"},"outputs":[{"data":{"text/html":["
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00720.8331210.10450.5034220000GAUSSMNIST0FLANDERSFedAvg
11664.5222520.20890.5631160000GAUSSMNIST0FLANDERSFedAvg
22624.6338260.35600.6447310000GAUSSMNIST0FLANDERSFedAvg
33581.4764720.47730.710941010000GAUSSMNIST0FLANDERSFedAvg
44545.1142050.54300.746970020000GAUSSMNIST0FLANDERSFedAvg
..........................................
356546724.2817250.10250.5004790000AGR-MMMNIST80dncFedAvg
356647724.3501380.10240.5004210000AGR-MMMNIST80dncFedAvg
356748724.5352630.10250.5004790000AGR-MMMNIST80dncFedAvg
356849724.5888810.10280.5005980000AGR-MMMNIST80dncFedAvg
356950724.7838510.10280.5006020000AGR-MMMNIST80dncFedAvg
\n","

7548 rows × 13 columns

\n","
"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 720.833121 0.1045 0.503422 0 0 0 0 GAUSS \n","1 1 664.522252 0.2089 0.563116 0 0 0 0 GAUSS \n","2 2 624.633826 0.3560 0.644731 0 0 0 0 GAUSS \n","3 3 581.476472 0.4773 0.710941 0 100 0 0 GAUSS \n","4 4 545.114205 0.5430 0.746970 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 724.281725 0.1025 0.500479 0 0 0 0 AGR-MM \n","3566 47 724.350138 0.1024 0.500421 0 0 0 0 AGR-MM \n","3567 48 724.535263 0.1025 0.500479 0 0 0 0 AGR-MM \n","3568 49 724.588881 0.1028 0.500598 0 0 0 0 AGR-MM \n","3569 50 724.783851 0.1028 0.500602 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 MNIST 0 FLANDERS FedAvg \n","1 MNIST 0 FLANDERS FedAvg \n","2 MNIST 0 FLANDERS FedAvg \n","3 MNIST 0 FLANDERS FedAvg \n","4 MNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 MNIST 80 dnc FedAvg \n","3566 MNIST 80 dnc FedAvg \n","3567 MNIST 80 dnc FedAvg \n","3568 MNIST 80 dnc FedAvg \n","3569 MNIST 80 dnc FedAvg \n","\n","[7548 rows x 13 columns]"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["# CSV pre-processing MNIST\n","results_flanders_file = results_dir + \"all_results_mnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_mnist_no_flanders.csv\"\n","results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)\n","results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","mnist_df = pd.concat([results_flanders_df, results_no_flanders_df])\n","mnist_df"]},{"cell_type":"code","execution_count":7,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":9,"status":"ok","timestamp":1716115669854,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"hg3ysnqiNrms","outputId":"bae8ab71-ce7b-409a-b154-6ad42f9dfc3b"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'dnc']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc']\n"]}],"source":["print_unique_data(mnist_df)"]},{"cell_type":"markdown","metadata":{"id":"dE_uqUeuyl6M"},"source":["### Step-by-step processing"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"R9Cpe8bF8a2z"},"outputs":[],"source":["results_flanders_file = results_dir + \"all_results_mnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_mnist_no_flanders.csv\""]},{"cell_type":"code","execution_count":null,"metadata":{"id":"8nPsIraZ7nJK"},"outputs":[],"source":["results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1707513800371,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"oC_C6WVMshle","outputId":"20708ffb-24d9-4d94-fc83-6ab93c8d4ed0"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['mnist']\n","Unique values in strategy: ['flanders']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate'\n"," 'flwr.server.strategy.aggregate.aggregate_trimmed_avg'\n"," 'flwr.server.strategy.aggregate.aggregate_median'\n"," 'flwr.server.strategy.aggregate.aggregate_bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc'\n"," 'flwr.server.strategy.aggregate.aggregate_krum']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":423,"status":"ok","timestamp":1707478795736,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"2xSStl9-52cc","outputId":"391a3d7c-c4b5-486c-85a2-97d9a5ddb30d"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 40 60 80]\n","Unique values in dataset_name: ['mnist']\n","Unique values in strategy: ['fedavg' 'trimmedmean' 'fedmedian' 'bulyan' 'dnc' 'krum']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"8dEepZY28raZ"},"source":["Translate strings"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"zNPGc6YJ7E_J"},"outputs":[],"source":["results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"AQaNnF1K7TQc"},"outputs":[],"source":["results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":393,"status":"ok","timestamp":1707478246670,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"MXYnAzh8V-9t","outputId":"8f09ab5c-cd3e-4627-9f76-5f474ec09227"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FLANDERS']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":8,"status":"ok","timestamp":1707472989224,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"7xmPF5X77VQk","outputId":"f8e8331e-cde6-4413-f795-f0fe1a9cdd19"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 40 60 80]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n","Unique values in aggregate_fn: ['FedAvg']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"mjTmoV2M9YTk"},"source":["Concatenate the 2 dataframes, namely FLANDERS+f and baselines:"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"apvpT9Ve8wwv"},"outputs":[],"source":["mnist_df = pd.concat([results_flanders_df, results_no_flanders_df])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":424},"executionInfo":{"elapsed":5,"status":"ok","timestamp":1707513807441,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"aZuW73BW9Iu3","outputId":"3f558906-0d55-4ccd-e64f-5b62203ae746"},"outputs":[{"data":{"text/html":["\n","
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00720.2770980.10850.5048670000GAUSSMNIST0FLANDERSFedAvg
11675.0509400.45480.6994830000GAUSSMNIST0FLANDERSFedAvg
22647.6366430.52110.7358450000GAUSSMNIST0FLANDERSFedAvg
33614.4347950.56950.761650010000GAUSSMNIST0FLANDERSFedAvg
44584.1685070.60690.781741020000GAUSSMNIST0FLANDERSFedAvg
..........................................
397346292.8117450.74960.8612950000AGR-MMMNIST20MultiKrumFedAvg
397447289.7818840.75920.8668850000AGR-MMMNIST20MultiKrumFedAvg
397548287.8744360.76080.8679520000AGR-MMMNIST20MultiKrumFedAvg
397649288.8327780.74960.8615780000AGR-MMMNIST20MultiKrumFedAvg
397750290.4446540.74350.8580720000AGR-MMMNIST20MultiKrumFedAvg
\n","

8007 rows × 13 columns

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\n"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 720.277098 0.1085 0.504867 0 0 0 0 GAUSS \n","1 1 675.050940 0.4548 0.699483 0 0 0 0 GAUSS \n","2 2 647.636643 0.5211 0.735845 0 0 0 0 GAUSS \n","3 3 614.434795 0.5695 0.761650 0 100 0 0 GAUSS \n","4 4 584.168507 0.6069 0.781741 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3973 46 292.811745 0.7496 0.861295 0 0 0 0 AGR-MM \n","3974 47 289.781884 0.7592 0.866885 0 0 0 0 AGR-MM \n","3975 48 287.874436 0.7608 0.867952 0 0 0 0 AGR-MM \n","3976 49 288.832778 0.7496 0.861578 0 0 0 0 AGR-MM \n","3977 50 290.444654 0.7435 0.858072 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 MNIST 0 FLANDERS FedAvg \n","1 MNIST 0 FLANDERS FedAvg \n","2 MNIST 0 FLANDERS FedAvg \n","3 MNIST 0 FLANDERS FedAvg \n","4 MNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3973 MNIST 20 MultiKrum FedAvg \n","3974 MNIST 20 MultiKrum FedAvg \n","3975 MNIST 20 MultiKrum FedAvg \n","3976 MNIST 20 MultiKrum FedAvg \n","3977 MNIST 20 MultiKrum FedAvg \n","\n","[8007 rows x 13 columns]"]},"execution_count":54,"metadata":{},"output_type":"execute_result"}],"source":["mnist_df"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1707480685917,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"Ub0W-iA69LpR","outputId":"bfbcaf9e-575c-4d02-e9f0-0be7e74accb4"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80 40]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n"]}],"source":["print_unique_data(mnist_df)"]},{"cell_type":"markdown","metadata":{"id":"E3TZ_fJuTVuU"},"source":["## Fashion MNIST"]},{"cell_type":"markdown","metadata":{"id":"45GAIKG9Tmyb"},"source":["### Use this shortcut"]},{"cell_type":"code","execution_count":8,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":327,"status":"ok","timestamp":1716376732776,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"Qju5S7VmTpB_","outputId":"fbe0aed8-164c-4343-9949-e9fa7cc7f0a7"},"outputs":[{"data":{"text/html":["
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
0023082.3338130.06310.4795000000GAUSSFMNIST0FLANDERSFedAvg
1121920.1315610.19770.5542780000GAUSSFMNIST0FLANDERSFedAvg
2217859.0960200.42100.6783330000GAUSSFMNIST0FLANDERSFedAvg
3315559.0449260.49200.717778010000GAUSSFMNIST0FLANDERSFedAvg
4414684.1937220.50010.722278020000GAUSSFMNIST0FLANDERSFedAvg
..........................................
35654623279.5649070.10000.5000000000AGR-MMFMNIST80dncFedAvg
35664723290.9804420.10000.5000000000AGR-MMFMNIST80dncFedAvg
35674823302.2510220.10000.5000000000AGR-MMFMNIST80dncFedAvg
35684923312.5125960.10000.5000000000AGR-MMFMNIST80dncFedAvg
35695023326.1161770.10000.5000000000AGR-MMFMNIST80dncFedAvg
\n","

6884 rows × 13 columns

\n","
"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 23082.333813 0.0631 0.479500 0 0 0 0 GAUSS \n","1 1 21920.131561 0.1977 0.554278 0 0 0 0 GAUSS \n","2 2 17859.096020 0.4210 0.678333 0 0 0 0 GAUSS \n","3 3 15559.044926 0.4920 0.717778 0 100 0 0 GAUSS \n","4 4 14684.193722 0.5001 0.722278 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 23279.564907 0.1000 0.500000 0 0 0 0 AGR-MM \n","3566 47 23290.980442 0.1000 0.500000 0 0 0 0 AGR-MM \n","3567 48 23302.251022 0.1000 0.500000 0 0 0 0 AGR-MM \n","3568 49 23312.512596 0.1000 0.500000 0 0 0 0 AGR-MM \n","3569 50 23326.116177 0.1000 0.500000 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 FMNIST 0 FLANDERS FedAvg \n","1 FMNIST 0 FLANDERS FedAvg \n","2 FMNIST 0 FLANDERS FedAvg \n","3 FMNIST 0 FLANDERS FedAvg \n","4 FMNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 FMNIST 80 dnc FedAvg \n","3566 FMNIST 80 dnc FedAvg \n","3567 FMNIST 80 dnc FedAvg \n","3568 FMNIST 80 dnc FedAvg \n","3569 FMNIST 80 dnc FedAvg \n","\n","[6884 rows x 13 columns]"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["# CSV pre-processing FMNIST\n","results_flanders_file = results_dir + \"all_results_fmnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_fmnist_no_flanders.csv\"\n","results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)\n","results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","fmnist_df = pd.concat([results_flanders_df, results_no_flanders_df])\n","fmnist_df"]},{"cell_type":"code","execution_count":9,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1,"status":"ok","timestamp":1716047458204,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"08YXqMTZNpN6","outputId":"9de6cdc8-241e-4867-cd53-645434b99ce2"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['FMNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'dnc']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan']\n"]}],"source":["print_unique_data(fmnist_df)"]},{"cell_type":"markdown","metadata":{"id":"9vVX6wsxT-rc"},"source":["### Step-by-step processing"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"j0ZnLmVnUBT3"},"outputs":[],"source":["results_flanders_file = results_dir + \"all_results_fmnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_fmnist_no_flanders.csv\""]},{"cell_type":"code","execution_count":null,"metadata":{"id":"qsYaQiAWUBOw"},"outputs":[],"source":["results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":250,"status":"ok","timestamp":1709217712591,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"m1VKWq_jUHyY","outputId":"5bd5b442-4ab4-473d-bc60-b6f5fdc6320d"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['flanders']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate'\n"," 'flwr.server.strategy.aggregate.aggregate_trimmed_avg'\n"," 'flwr.server.strategy.aggregate.aggregate_median'\n"," 'flwr.server.strategy.aggregate.aggregate_krum'\n"," 'flwr.server.strategy.aggregate.aggregate_bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1709217720407,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"IxPT9D6DUJN3","outputId":"ded1f8b2-baf5-437b-abe3-25bad7a3c4ad"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['fedavg' 'trimmedmean' 'fedmedian' 'krum' 'bulyan' 'dnc']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"X8k98LNrUaLp"},"source":["Translate strings"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"zHNwpvZMUaLq"},"outputs":[],"source":["results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"9zMOOjCiUaLr"},"outputs":[],"source":["results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1709217802421,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"tygeoDz6UaLr","outputId":"2441a31a-ead0-4adf-8b95-73d75c6b3739"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['FLANDERS']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1709217803343,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"b8Xo1VseUaLr","outputId":"1fbb0a64-0695-4a89-eec1-e0a18ba54c40"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n","Unique values in aggregate_fn: ['FedAvg']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"zkmqmUTzUaLr"},"source":["Concatenate the 2 dataframes, namely FLANDERS+f and baselines:"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"m-wRVa9eUaLr"},"outputs":[],"source":["fmnist_df = pd.concat([results_flanders_df, results_no_flanders_df])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1709217813677,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"IhpjH5n1UaLs","outputId":"73f9a359-9f74-4e5e-b518-25af272b2207"},"outputs":[{"data":{"application/vnd.google.colaboratory.intrinsic+json":{"summary":"{\n \"name\": \"fmnist_df\",\n \"rows\": 7497,\n \"fields\": [\n {\n \"column\": \"round\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 14,\n \"min\": 0,\n \"max\": 50,\n \"num_unique_values\": 51,\n \"samples\": [\n 43,\n 40,\n 46\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"loss\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 5.098805154030721e+18,\n \"min\": 232.3792065680027,\n \"max\": 4.3645751884391645e+19,\n \"num_unique_values\": 7267,\n \"samples\": [\n 257.05002358555794,\n 303.2543874382973,\n 376.6231798529625\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"accuracy\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.2308533481360291,\n \"min\": 0.038,\n \"max\": 0.7626,\n \"num_unique_values\": 2608,\n \"samples\": [\n 0.3327,\n 0.4714,\n 0.5971\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"auc\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.12825186007557174,\n \"min\": 0.4655555555555556,\n \"max\": 0.8681111111111113,\n \"num_unique_values\": 3478,\n \"samples\": [\n 0.553,\n 0.8093333333333333,\n 0.7679999999999999\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"TP\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 944,\n \"min\": 0,\n \"max\": 3840,\n \"num_unique_values\": 292,\n \"samples\": [\n 1380,\n 165,\n 900\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"TN\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 943,\n \"min\": 0,\n \"max\": 4800,\n \"num_unique_values\": 439,\n \"samples\": [\n 195,\n 2960,\n 2584\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"FP\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 88,\n \"min\": 0,\n \"max\": 835,\n \"num_unique_values\": 259,\n \"samples\": [\n 333,\n 782,\n 156\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"FN\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 88,\n \"min\": 0,\n \"max\": 835,\n \"num_unique_values\": 259,\n \"samples\": [\n 333,\n 782,\n 156\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"attack_fn\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 4,\n \"samples\": [\n \"LIE\",\n \"AGR-MM\",\n \"GAUSS\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"dataset_name\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"fmnist\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"num_malicious\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 28,\n \"min\": 0,\n \"max\": 80,\n \"num_unique_values\": 4,\n \"samples\": [\n 20\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"strategy\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 7,\n \"samples\": [\n \"FLANDERS\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"aggregate_fn\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 6,\n \"samples\": [\n \"FedAvg\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}","type":"dataframe","variable_name":"fmnist_df"},"text/html":["\n","
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00722.5733350.09600.4977780000GAUSSfmnist0FLANDERSFedAvg
11679.1645870.22190.5677220000GAUSSfmnist0FLANDERSFedAvg
22559.4500050.45820.6990000000GAUSSfmnist0FLANDERSFedAvg
33473.0433670.53890.743833010000GAUSSfmnist0FLANDERSFedAvg
44438.4357100.56860.760333020000GAUSSfmnist0FLANDERSFedAvg
..........................................
356546729.7860360.10000.5000000000AGR-MMfmnist80DnCFedAvg
356647730.0917940.10000.5000000000AGR-MMfmnist80DnCFedAvg
356748730.4244920.10000.5000000000AGR-MMfmnist80DnCFedAvg
356849730.7109820.10000.5000000000AGR-MMfmnist80DnCFedAvg
356950731.0777110.10000.5000000000AGR-MMfmnist80DnCFedAvg
\n","

7497 rows × 13 columns

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\n"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 722.573335 0.0960 0.497778 0 0 0 0 GAUSS \n","1 1 679.164587 0.2219 0.567722 0 0 0 0 GAUSS \n","2 2 559.450005 0.4582 0.699000 0 0 0 0 GAUSS \n","3 3 473.043367 0.5389 0.743833 0 100 0 0 GAUSS \n","4 4 438.435710 0.5686 0.760333 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 729.786036 0.1000 0.500000 0 0 0 0 AGR-MM \n","3566 47 730.091794 0.1000 0.500000 0 0 0 0 AGR-MM \n","3567 48 730.424492 0.1000 0.500000 0 0 0 0 AGR-MM \n","3568 49 730.710982 0.1000 0.500000 0 0 0 0 AGR-MM \n","3569 50 731.077711 0.1000 0.500000 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 fmnist 0 FLANDERS FedAvg \n","1 fmnist 0 FLANDERS FedAvg \n","2 fmnist 0 FLANDERS FedAvg \n","3 fmnist 0 FLANDERS FedAvg \n","4 fmnist 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 fmnist 80 DnC FedAvg \n","3566 fmnist 80 DnC FedAvg \n","3567 fmnist 80 DnC FedAvg \n","3568 fmnist 80 DnC FedAvg \n","3569 fmnist 80 DnC FedAvg \n","\n","[7497 rows x 13 columns]"]},"execution_count":20,"metadata":{},"output_type":"execute_result"}],"source":["fmnist_df"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6,"status":"ok","timestamp":1709217818750,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"XYwnEFa2UaLs","outputId":"44dcb4de-f892-4555-b5d8-8cfcacd37137"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n"]}],"source":["print_unique_data(fmnist_df)"]},{"cell_type":"code","execution_count":20,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":249,"status":"ok","timestamp":1716376734931,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"VY5G4tF1yVHN","outputId":"cf11f084-16b5-45b2-e1ae-6d9455909720"},"outputs":[{"ename":"FileNotFoundError","evalue":"[Errno 2] No such file or directory: '../outputs/all_results_cifar_flanders.csv'","output_type":"error","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)","Cell \u001b[0;32mIn[20], line 4\u001b[0m\n\u001b[1;32m 2\u001b[0m results_flanders_file \u001b[38;5;241m=\u001b[39m results_dir \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mall_results_cifar_flanders.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 3\u001b[0m results_no_flanders_file \u001b[38;5;241m=\u001b[39m results_dir \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mall_results_cifar_no_flanders.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m----> 4\u001b[0m results_flanders_df \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_csv\u001b[49m\u001b[43m(\u001b[49m\u001b[43mresults_flanders_file\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 5\u001b[0m results_no_flanders_df \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mread_csv(results_no_flanders_file)\n\u001b[1;32m 6\u001b[0m results_flanders_df \u001b[38;5;241m=\u001b[39m translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:948\u001b[0m, in \u001b[0;36mread_csv\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend)\u001b[0m\n\u001b[1;32m 935\u001b[0m kwds_defaults \u001b[38;5;241m=\u001b[39m _refine_defaults_read(\n\u001b[1;32m 936\u001b[0m dialect,\n\u001b[1;32m 937\u001b[0m delimiter,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 944\u001b[0m dtype_backend\u001b[38;5;241m=\u001b[39mdtype_backend,\n\u001b[1;32m 945\u001b[0m )\n\u001b[1;32m 946\u001b[0m kwds\u001b[38;5;241m.\u001b[39mupdate(kwds_defaults)\n\u001b[0;32m--> 948\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_read\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:611\u001b[0m, in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m 608\u001b[0m _validate_names(kwds\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnames\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m))\n\u001b[1;32m 610\u001b[0m \u001b[38;5;66;03m# Create the parser.\u001b[39;00m\n\u001b[0;32m--> 611\u001b[0m parser \u001b[38;5;241m=\u001b[39m \u001b[43mTextFileReader\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 613\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m chunksize \u001b[38;5;129;01mor\u001b[39;00m iterator:\n\u001b[1;32m 614\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m parser\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:1448\u001b[0m, in \u001b[0;36mTextFileReader.__init__\u001b[0;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[1;32m 1445\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m kwds[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[1;32m 1447\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles: IOHandles \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m-> 1448\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_engine \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_make_engine\u001b[49m\u001b[43m(\u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mengine\u001b[49m\u001b[43m)\u001b[49m\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:1705\u001b[0m, in \u001b[0;36mTextFileReader._make_engine\u001b[0;34m(self, f, engine)\u001b[0m\n\u001b[1;32m 1703\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m mode:\n\u001b[1;32m 1704\u001b[0m mode \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m-> 1705\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;241m=\u001b[39m \u001b[43mget_handle\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1706\u001b[0m \u001b[43m \u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1707\u001b[0m \u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1708\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1709\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompression\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcompression\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1710\u001b[0m \u001b[43m \u001b[49m\u001b[43mmemory_map\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmemory_map\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1711\u001b[0m \u001b[43m \u001b[49m\u001b[43mis_text\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mis_text\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1712\u001b[0m \u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding_errors\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstrict\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1713\u001b[0m \u001b[43m \u001b[49m\u001b[43mstorage_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstorage_options\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1714\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1715\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 1716\u001b[0m f \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles\u001b[38;5;241m.\u001b[39mhandle\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/common.py:863\u001b[0m, in \u001b[0;36mget_handle\u001b[0;34m(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)\u001b[0m\n\u001b[1;32m 858\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(handle, \u001b[38;5;28mstr\u001b[39m):\n\u001b[1;32m 859\u001b[0m \u001b[38;5;66;03m# Check whether the filename is to be opened in binary mode.\u001b[39;00m\n\u001b[1;32m 860\u001b[0m \u001b[38;5;66;03m# Binary mode does not support 'encoding' and 'newline'.\u001b[39;00m\n\u001b[1;32m 861\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mencoding \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mmode:\n\u001b[1;32m 862\u001b[0m \u001b[38;5;66;03m# Encoding\u001b[39;00m\n\u001b[0;32m--> 863\u001b[0m handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\n\u001b[1;32m 864\u001b[0m \u001b[43m \u001b[49m\u001b[43mhandle\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 865\u001b[0m \u001b[43m \u001b[49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 866\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 867\u001b[0m \u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 868\u001b[0m \u001b[43m \u001b[49m\u001b[43mnewline\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 869\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 870\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 871\u001b[0m \u001b[38;5;66;03m# Binary mode\u001b[39;00m\n\u001b[1;32m 872\u001b[0m handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mopen\u001b[39m(handle, ioargs\u001b[38;5;241m.\u001b[39mmode)\n","\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '../outputs/all_results_cifar_flanders.csv'"]}],"source":["# CSV pre-processing CIFAR-10\n","results_flanders_file = results_dir + \"all_results_cifar_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_cifar_no_flanders.csv\"\n","results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)\n","results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","cifar_df = pd.concat([results_flanders_df, results_no_flanders_df])\n","cifar_df"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1716047460925,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"y7wfUI0eyeEp","outputId":"48c324d7-5816-406e-dd8a-284172967e90"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80 40]\n","Unique values in dataset_name: ['CIFAR-10']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'DnC' 'MultiKrum' 'Bulyan'\n"," 'FLDetector']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n"]}],"source":["print_unique_data(cifar_df)"]},{"cell_type":"markdown","metadata":{"id":"1TUxrAF6w6cY"},"source":["## Unify datasets"]},{"cell_type":"code","execution_count":9,"metadata":{"id":"R2wOP2Eex7X2"},"outputs":[],"source":["all_datasets_df = pd.concat([mnist_df, fmnist_df])"]},{"cell_type":"code","execution_count":10,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":428,"status":"ok","timestamp":1716376740426,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"jwDN17ygyFK7","outputId":"c3db739f-98b7-4070-f826-4344553e9ab7"},"outputs":[{"data":{"text/html":["
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00720.8331210.10450.5034220000GAUSSMNIST0FLANDERSFedAvg
11664.5222520.20890.5631160000GAUSSMNIST0FLANDERSFedAvg
22624.6338260.35600.6447310000GAUSSMNIST0FLANDERSFedAvg
33581.4764720.47730.710941010000GAUSSMNIST0FLANDERSFedAvg
44545.1142050.54300.746970020000GAUSSMNIST0FLANDERSFedAvg
..........................................
35654623279.5649070.10000.5000000000AGR-MMFMNIST80dncFedAvg
35664723290.9804420.10000.5000000000AGR-MMFMNIST80dncFedAvg
35674823302.2510220.10000.5000000000AGR-MMFMNIST80dncFedAvg
35684923312.5125960.10000.5000000000AGR-MMFMNIST80dncFedAvg
35695023326.1161770.10000.5000000000AGR-MMFMNIST80dncFedAvg
\n","

14432 rows × 13 columns

\n","
"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 720.833121 0.1045 0.503422 0 0 0 0 GAUSS \n","1 1 664.522252 0.2089 0.563116 0 0 0 0 GAUSS \n","2 2 624.633826 0.3560 0.644731 0 0 0 0 GAUSS \n","3 3 581.476472 0.4773 0.710941 0 100 0 0 GAUSS \n","4 4 545.114205 0.5430 0.746970 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 23279.564907 0.1000 0.500000 0 0 0 0 AGR-MM \n","3566 47 23290.980442 0.1000 0.500000 0 0 0 0 AGR-MM \n","3567 48 23302.251022 0.1000 0.500000 0 0 0 0 AGR-MM \n","3568 49 23312.512596 0.1000 0.500000 0 0 0 0 AGR-MM \n","3569 50 23326.116177 0.1000 0.500000 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 MNIST 0 FLANDERS FedAvg \n","1 MNIST 0 FLANDERS FedAvg \n","2 MNIST 0 FLANDERS FedAvg \n","3 MNIST 0 FLANDERS FedAvg \n","4 MNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 FMNIST 80 dnc FedAvg \n","3566 FMNIST 80 dnc FedAvg \n","3567 FMNIST 80 dnc FedAvg \n","3568 FMNIST 80 dnc FedAvg \n","3569 FMNIST 80 dnc FedAvg \n","\n","[14432 rows x 13 columns]"]},"execution_count":10,"metadata":{},"output_type":"execute_result"}],"source":["all_datasets_df"]},{"cell_type":"code","execution_count":11,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2,"status":"ok","timestamp":1716376741411,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"VWrdDPtPyHHA","outputId":"1ef8b853-63f8-4eac-a785-578684dbf0a6"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['MNIST' 'FMNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'dnc']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc']\n"]}],"source":["print_unique_data(all_datasets_df)"]},{"cell_type":"markdown","metadata":{"id":"OlES57TEn2Ng"},"source":["# Tables\n"]},{"cell_type":"markdown","metadata":{"id":"hcHkTXfGbapg"},"source":["## Accuracy"]},{"cell_type":"markdown","metadata":{"id":"7F1YDs12sZbE"},"source":["### Best with improvment w.r.t. baseline"]},{"cell_type":"code","execution_count":26,"metadata":{"id":"GuQM8bzXnIGx"},"outputs":[],"source":["def accuracy_table(input_df, b):\n"," # Define strategies and attacks\n"," strategies = ['FedAvg', 'FLANDERS + FedAvg', 'FedMedian', 'FLANDERS + FedMedian', 'TrimmedMean', 'FLANDERS + TrimmedMean', 'MultiKrum', 'FLANDERS + MultiKrum', 'Bulyan', 'FLANDERS + Bulyan']\n"," attacks = ['GAUSS', 'LIE', 'OPT', 'AGR-MM']\n"," dataset_names = [\"MNIST\", \"FMNIST\"]\n","\n"," # Create MultiIndex for the columns\n"," columns = pd.MultiIndex.from_product([dataset_names, attacks], names=['Dataset', 'Attack'])\n","\n"," # Create an empty DataFrame with the defined columns and strategies\n"," df = pd.DataFrame(index=strategies, columns=columns)\n","\n"," filtered_df = input_df[(input_df['num_malicious'] == b) & (input_df['round'] >= 3)]\n"," baseline_df = filtered_df[filtered_df['strategy'] != 'FLANDERS']\n"," flanders_df = filtered_df[filtered_df['strategy'] == 'FLANDERS']\n","\n"," # Populate the DataFrame\n"," for strategy in ['FedAvg', 'TrimmedMean', 'FedMedian', 'MultiKrum', 'Bulyan']:\n"," for dataset in dataset_names:\n"," for attack in attacks:\n"," df.loc[strategy, (dataset, attack)] = round(baseline_df[(baseline_df['strategy']==strategy) & (baseline_df['attack_fn']==attack) & (baseline_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n"," df.loc[f\"FLANDERS + {strategy}\", (dataset, attack)] = round(flanders_df[(flanders_df['aggregate_fn']==strategy) & (flanders_df['attack_fn']==attack) & (flanders_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n","\n"," return df\n"]},{"cell_type":"code","execution_count":34,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":457},"executionInfo":{"elapsed":1243,"status":"ok","timestamp":1715943873268,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"PruXJg2vA87b","outputId":"98d83851-626b-4877-fd09-8f2f01200c65"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSGAUSS
FedAvg0.860.68
FLANDERS + FedAvg0.840.64
FedMedian0.830.71
FLANDERS + FedMedian0.760.73
TrimmedMean0.850.69
FLANDERS + TrimmedMean0.780.7
MultiKrum0.680.66
FLANDERS + MultiKrum0.740.73
Bulyan0.860.62
FLANDERS + Bulyan0.870.65
\n","
"],"text/plain":["Dataset MNIST FMNIST\n","Attack GAUSS GAUSS\n","FedAvg 0.86 0.68\n","FLANDERS + FedAvg 0.84 0.64\n","FedMedian 0.83 0.71\n","FLANDERS + FedMedian 0.76 0.73\n","TrimmedMean 0.85 0.69\n","FLANDERS + TrimmedMean 0.78 0.7\n","MultiKrum 0.68 0.66\n","FLANDERS + MultiKrum 0.74 0.73\n","Bulyan 0.86 0.62\n","FLANDERS + Bulyan 0.87 0.65"]},"execution_count":34,"metadata":{},"output_type":"execute_result"}],"source":["# Table 19\n","acc_0 = accuracy_table(all_datasets_df, 0).dropna(axis=1, how='all')\n","acc_0"]},{"cell_type":"code","execution_count":31,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":457},"executionInfo":{"elapsed":858,"status":"ok","timestamp":1715944158330,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"8bV7hABWbyMS","outputId":"6d24f87d-da15-40b2-8880-3b6dcefda1fd"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSLIEOPTAGR-MMGAUSSLIEOPTAGR-MM
FedAvg0.20.170.670.450.250.170.570.11
FLANDERS + FedAvg0.880.870.480.880.660.670.570.64
FedMedian0.80.660.790.590.660.650.670.6
FLANDERS + FedMedian0.850.850.660.830.710.690.630.73
TrimmedMean0.860.520.730.610.690.540.620.58
FLANDERS + TrimmedMean0.810.850.780.830.690.70.630.73
MultiKrum0.780.770.810.820.740.650.70.67
FLANDERS + MultiKrum0.820.860.840.820.730.70.730.71
Bulyan0.820.840.840.830.710.720.690.76
FLANDERS + Bulyan0.90.840.790.850.650.650.660.65
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","Attack GAUSS LIE OPT AGR-MM GAUSS LIE OPT AGR-MM\n","FedAvg 0.2 0.17 0.67 0.45 0.25 0.17 0.57 0.11\n","FLANDERS + FedAvg 0.88 0.87 0.48 0.88 0.66 0.67 0.57 0.64\n","FedMedian 0.8 0.66 0.79 0.59 0.66 0.65 0.67 0.6\n","FLANDERS + FedMedian 0.85 0.85 0.66 0.83 0.71 0.69 0.63 0.73\n","TrimmedMean 0.86 0.52 0.73 0.61 0.69 0.54 0.62 0.58\n","FLANDERS + TrimmedMean 0.81 0.85 0.78 0.83 0.69 0.7 0.63 0.73\n","MultiKrum 0.78 0.77 0.81 0.82 0.74 0.65 0.7 0.67\n","FLANDERS + MultiKrum 0.82 0.86 0.84 0.82 0.73 0.7 0.73 0.71\n","Bulyan 0.82 0.84 0.84 0.83 0.71 0.72 0.69 0.76\n","FLANDERS + Bulyan 0.9 0.84 0.79 0.85 0.65 0.65 0.66 0.65"]},"execution_count":31,"metadata":{},"output_type":"execute_result"}],"source":["# Table 15\n","acc_20 = accuracy_table(all_datasets_df, 20)\n","acc_20"]},{"cell_type":"markdown","metadata":{},"source":["Bulyan is NaN because it cannot work when the number of malicious clients is > 25%"]},{"cell_type":"code","execution_count":16,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1126,"status":"ok","timestamp":1716115710006,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"xSvgEwLoPmh3","outputId":"1c65e66e-7374-46f0-a2a5-0964bc40e49a"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSLIEOPTAGR-MMGAUSSLIEOPTAGR-MM
FedAvg0.190.150.20.160.280.10.190.1
FLANDERS + FedAvg0.760.880.850.850.690.670.710.67
FedMedian0.80.190.160.290.650.10.10.1
FLANDERS + FedMedian0.80.860.830.860.710.690.710.71
TrimmedMean0.250.20.330.10.330.10.170.1
FLANDERS + TrimmedMean0.780.870.840.830.70.710.730.74
MultiKrum0.790.140.220.150.710.10.120.1
FLANDERS + MultiKrum0.880.880.860.780.720.710.730.69
BulyanNaNNaNNaNNaNNaNNaNNaNNaN
FLANDERS + Bulyan0.890.870.90.850.680.640.60.69
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","Attack GAUSS LIE OPT AGR-MM GAUSS LIE OPT AGR-MM\n","FedAvg 0.19 0.15 0.2 0.16 0.28 0.1 0.19 0.1\n","FLANDERS + FedAvg 0.76 0.88 0.85 0.85 0.69 0.67 0.71 0.67\n","FedMedian 0.8 0.19 0.16 0.29 0.65 0.1 0.1 0.1\n","FLANDERS + FedMedian 0.8 0.86 0.83 0.86 0.71 0.69 0.71 0.71\n","TrimmedMean 0.25 0.2 0.33 0.1 0.33 0.1 0.17 0.1\n","FLANDERS + TrimmedMean 0.78 0.87 0.84 0.83 0.7 0.71 0.73 0.74\n","MultiKrum 0.79 0.14 0.22 0.15 0.71 0.1 0.12 0.1\n","FLANDERS + MultiKrum 0.88 0.88 0.86 0.78 0.72 0.71 0.73 0.69\n","Bulyan NaN NaN NaN NaN NaN NaN NaN NaN\n","FLANDERS + Bulyan 0.89 0.87 0.9 0.85 0.68 0.64 0.6 0.69"]},"execution_count":16,"metadata":{},"output_type":"execute_result"}],"source":["# Table 17\n","acc_60 = accuracy_table(all_datasets_df, 60)\n","acc_60"]},{"cell_type":"code","execution_count":17,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1188,"status":"ok","timestamp":1716050662469,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"dM_AMm_jcCye","outputId":"90533ef1-500f-40a3-f565-2c2ca1d68aaa"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSLIEOPTAGR-MMGAUSSLIEOPTAGR-MM
FedAvg0.210.160.310.130.240.10.180.1
FLANDERS + FedAvg0.850.860.880.850.690.70.690.66
FedMedian0.340.170.140.090.30.10.140.1
FLANDERS + FedMedian0.870.840.80.80.730.740.720.72
TrimmedMean0.170.150.210.140.210.10.120.1
FLANDERS + TrimmedMean0.810.850.810.820.740.730.70.69
MultiKrum0.820.210.320.110.720.10.150.1
FLANDERS + MultiKrum0.870.830.870.850.680.730.720.7
BulyanNaNNaNNaNNaNNaNNaNNaNNaN
FLANDERS + Bulyan0.840.840.830.80.690.720.690.68
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","Attack GAUSS LIE OPT AGR-MM GAUSS LIE OPT AGR-MM\n","FedAvg 0.21 0.16 0.31 0.13 0.24 0.1 0.18 0.1\n","FLANDERS + FedAvg 0.85 0.86 0.88 0.85 0.69 0.7 0.69 0.66\n","FedMedian 0.34 0.17 0.14 0.09 0.3 0.1 0.14 0.1\n","FLANDERS + FedMedian 0.87 0.84 0.8 0.8 0.73 0.74 0.72 0.72\n","TrimmedMean 0.17 0.15 0.21 0.14 0.21 0.1 0.12 0.1\n","FLANDERS + TrimmedMean 0.81 0.85 0.81 0.82 0.74 0.73 0.7 0.69\n","MultiKrum 0.82 0.21 0.32 0.11 0.72 0.1 0.15 0.1\n","FLANDERS + MultiKrum 0.87 0.83 0.87 0.85 0.68 0.73 0.72 0.7\n","Bulyan NaN NaN NaN NaN NaN NaN NaN NaN\n","FLANDERS + Bulyan 0.84 0.84 0.83 0.8 0.69 0.72 0.69 0.68"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["# Table 3\n","acc_80 = accuracy_table(all_datasets_df, 80)\n","acc_80"]},{"cell_type":"markdown","metadata":{"id":"CZX8c37MsgFL"},"source":["### Best w.r.t. number of attackers"]},{"cell_type":"code","execution_count":18,"metadata":{"id":"xgIKM1obsmd2"},"outputs":[],"source":["def accuracy_table_attackers(input_df, aggregate_fn):\n"," # Define strategies and attacks\n"," attacks = ['GAUSS', 'LIE', 'OPT', 'AGR-MM']\n"," dataset_names = [\"MNIST\", \"FMNIST\"]\n"," num_malicious = [0, 20, 60, 80]\n","\n"," # Create MultiIndex for the columns\n"," columns = pd.MultiIndex.from_product([dataset_names, num_malicious], names=['Dataset', '# Malicious'])\n","\n"," #######\n"," #columns = pd.MultiIndex.from_product([['MNIST', 'CIFAR-10'], ['GAUSS', 'LIE', 'OPT', 'AGR-MM'], ['LAST', 'BEST']])\n"," #######\n","\n","\n"," # Create an empty DataFrame with the defined columns and strategies\n"," df = pd.DataFrame(index=attacks, columns=columns)\n","\n"," filtered_df = input_df[(input_df['aggregate_fn'] == aggregate_fn) & (input_df['round'] >= 3)]\n"," baseline_df = filtered_df[filtered_df['strategy'] != 'FLANDERS']\n"," flanders_df = filtered_df[filtered_df['strategy'] == 'FLANDERS']\n","\n"," # Populate the DataFrame\n"," for dataset in dataset_names:\n"," for attack in attacks:\n"," for b in num_malicious:\n"," if b == 0:\n"," df.loc[attack, (dataset, b)] = round(flanders_df[(flanders_df['num_malicious']==b) & (flanders_df['attack_fn']=='GAUSS') & (flanders_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n"," else:\n"," df.loc[attack, (dataset, b)] = round(flanders_df[(flanders_df['num_malicious']==b) & (flanders_df['attack_fn']==attack) & (flanders_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n","\n"," return df"]},{"cell_type":"code","execution_count":19,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"executionInfo":{"elapsed":305,"status":"ok","timestamp":1715954054792,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"0n9vhQiQuxk_","outputId":"500dfb31-f525-4289-f337-2c945bf50cd2"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
# Malicious02060800206080
GAUSS0.740.820.880.870.730.730.720.68
LIE0.740.860.880.830.730.70.710.73
OPT0.740.840.860.870.730.730.730.72
AGR-MM0.740.820.780.850.730.710.690.7
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","# Malicious 0 20 60 80 0 20 60 80\n","GAUSS 0.74 0.82 0.88 0.87 0.73 0.73 0.72 0.68\n","LIE 0.74 0.86 0.88 0.83 0.73 0.7 0.71 0.73\n","OPT 0.74 0.84 0.86 0.87 0.73 0.73 0.73 0.72\n","AGR-MM 0.74 0.82 0.78 0.85 0.73 0.71 0.69 0.7"]},"execution_count":19,"metadata":{},"output_type":"execute_result"}],"source":["# Table 20\n","acc_att = accuracy_table_attackers(all_datasets_df, 'MultiKrum')\n","acc_att"]},{"cell_type":"markdown","metadata":{"id":"g6yDorrubUw1"},"source":["## Precision and Recall"]},{"cell_type":"code","execution_count":20,"metadata":{"id":"y0PlDlG0bKek"},"outputs":[],"source":["def pr_table(input_df, b):\n"," strategies = ['FLANDERS']\n"," attacks = ['GAUSS', 'LIE', 'OPT', 'AGR-MM']\n"," dataset_names = [\"MNIST\", \"FMNIST\"]\n","\n"," # Create MultiIndex for the columns\n"," columns = pd.MultiIndex.from_product([strategies, attacks, ['P', 'R']], names=['Strategy', 'Attack', 'P/R'])\n","\n"," # Create an empty DataFrame with the defined columns and strategies\n"," df = pd.DataFrame(index=dataset_names, columns=columns)\n","\n"," filtered_df = input_df[(input_df['num_malicious'] == b) & (input_df['round'] == 50) & (input_df['aggregate_fn']=='FedAvg')]\n"," flanders_df = filtered_df[filtered_df['strategy'] == 'FLANDERS']\n"," strat_dfs = [flanders_df]\n","\n"," # Populate the DataFrame\n"," for dataset in dataset_names:\n"," for attack in attacks:\n"," for idx, strategy in enumerate(strategies):\n"," tp = strat_dfs[idx][(strat_dfs[idx]['attack_fn']==attack) & (strat_dfs[idx]['dataset_name']==dataset)]['TP'].iloc[0]\n"," fp = strat_dfs[idx][(strat_dfs[idx]['attack_fn']==attack) & (strat_dfs[idx]['dataset_name']==dataset)]['FP'].iloc[0]\n"," fn = strat_dfs[idx][(strat_dfs[idx]['attack_fn']==attack) & (strat_dfs[idx]['dataset_name']==dataset)]['FN'].iloc[0]\n"," df.loc[dataset, (strategy, attack, 'P')] = round(tp / (tp+fp), 2)\n"," df.loc[dataset, (strategy, attack, 'R')] = round(tp / (tp+fn), 2)\n","\n"," return df"]},{"cell_type":"code","execution_count":21,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":257},"executionInfo":{"elapsed":248,"status":"ok","timestamp":1716367268457,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"rpQyziNRh3dn","outputId":"26e2c0f9-144d-4cad-d13f-1e2351aa2081"},"outputs":[{"data":{"text/html":["
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StrategyFLANDERS
AttackGAUSSLIEOPTAGR-MM
P/RPRPRPRPR
MNIST1.01.01.01.00.150.151.01.0
FMNIST1.01.01.01.00.160.161.01.0
\n","
"],"text/plain":["Strategy FLANDERS \n","Attack GAUSS LIE OPT AGR-MM \n","P/R P R P R P R P R\n","MNIST 1.0 1.0 1.0 1.0 0.15 0.15 1.0 1.0\n","FMNIST 1.0 1.0 1.0 1.0 0.16 0.16 1.0 1.0"]},"execution_count":21,"metadata":{},"output_type":"execute_result"}],"source":["# Table 1\n","pr_20 = pr_table(all_datasets_df, 20)\n","pr_20"]},{"cell_type":"code","execution_count":22,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":257},"executionInfo":{"elapsed":327,"status":"ok","timestamp":1716367273542,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"ccW0Ups3iMvZ","outputId":"ba945e17-1bbe-414f-9aa0-b03fb0fe107f"},"outputs":[{"data":{"text/html":["
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StrategyFLANDERS
AttackGAUSSLIEOPTAGR-MM
P/RPRPRPRPR
MNIST1.01.01.01.01.01.01.01.0
FMNIST1.01.01.01.01.01.01.01.0
\n","
"],"text/plain":["Strategy FLANDERS \n","Attack GAUSS LIE OPT AGR-MM \n","P/R P R P R P R P R\n","MNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0\n","FMNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0"]},"execution_count":22,"metadata":{},"output_type":"execute_result"}],"source":["# Table 2\n","pr_60 = pr_table(all_datasets_df, 60)\n","pr_60"]},{"cell_type":"code","execution_count":23,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":257},"executionInfo":{"elapsed":308,"status":"ok","timestamp":1716376750779,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"05a0Gv5piS2v","outputId":"0cf6555a-4cc8-4aa5-f9b6-c8286afa130a"},"outputs":[{"data":{"text/html":["
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StrategyFLANDERS
AttackGAUSSLIEOPTAGR-MM
P/RPRPRPRPR
MNIST1.01.01.01.01.01.01.01.0
FMNIST1.01.01.01.01.01.01.01.0
\n","
"],"text/plain":["Strategy FLANDERS \n","Attack GAUSS LIE OPT AGR-MM \n","P/R P R P R P R P R\n","MNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0\n","FMNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0"]},"execution_count":23,"metadata":{},"output_type":"execute_result"}],"source":["# Table 3\n","pr_80 = pr_table(all_datasets_df, 80)\n","pr_80"]},{"cell_type":"markdown","metadata":{"id":"bN7dTn2u0r6K"},"source":["# Plots"]},{"cell_type":"markdown","metadata":{"id":"xZ0wiadBsVUh"},"source":["## Accuracy over rounds"]},{"cell_type":"code","execution_count":24,"metadata":{"id":"LQ_uYJCtjdJS"},"outputs":[],"source":["df_mnist_acc_flanders = all_datasets_df[(all_datasets_df['strategy']=='FLANDERS') & (all_datasets_df['num_malicious']==80) & (all_datasets_df['dataset_name']=='MNIST') & (all_datasets_df['aggregate_fn']=='MultiKrum')]\n","df_mnist_acc_fedavg = all_datasets_df[(all_datasets_df['strategy']=='FedAvg') & (all_datasets_df['num_malicious']==80) & (all_datasets_df['dataset_name']=='MNIST')]\n","df_no_attack = all_datasets_df[(all_datasets_df['strategy']=='FedAvg') & (all_datasets_df['num_malicious']==0) & (all_datasets_df['dataset_name']=='MNIST')]"]},{"cell_type":"code","execution_count":25,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":408},"executionInfo":{"elapsed":651,"status":"ok","timestamp":1714668544212,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"NDkD_Qnd1iT7","outputId":"928cfa90-04a2-4624-9825-adb0d124aaf8"},"outputs":[{"data":{"image/png":"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"]},"metadata":{},"output_type":"display_data"}],"source":["# Figure 3\n","num_plots = 2\n","plt.style.use('default')\n","fig, axs = plt.subplots(1, num_plots, figsize=(11, 4))\n","\n","data = [df_mnist_acc_flanders, df_mnist_acc_fedavg]\n","\n","for i in range(num_plots):\n"," if i == 0:\n"," acc = df_no_attack[df_no_attack[\"attack_fn\"]=='GAUSS']['accuracy'].to_list()\n"," axs[i].plot(acc, label=\"No Attack\", linestyle='--', color='slategray')\n"," for attack in ['GAUSS', 'LIE', 'OPT', 'AGR-MM']:\n"," acc = data[i][data[i]['attack_fn']==attack]['accuracy'].to_list()\n"," x = [i for i in range(len(data))]\n"," axs[i].plot(acc, label=attack)\n"," axs[i].set_ylim((0,1.0))\n"," axs[i].set_xlabel('Round', fontsize=16)\n"," axs[i].set_ylabel('Accuracy', fontsize=16)\n"," axs[i].legend(prop={'size': 12})\n"," axs[i].tick_params(axis='both', which='major', labelsize=16)\n"," axs[i].tick_params(axis='both', which='minor', labelsize=16)\n","\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":[]}],"metadata":{"colab":{"authorship_tag":"ABX9TyODCHCYl18UhHkKwq6LlRvG","collapsed_sections":["P_3Z05w0wvNB","dE_uqUeuyl6M","9vVX6wsxT-rc","RctMDJMZyPq2","R9VNz7Cv9RHn","6V4padUiYeac","pZ863s6JJbph","EJDtdXqLJX0H"],"provenance":[]},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.9.18"}},"nbformat":4,"nbformat_minor":0} From 56df8f5c57b4dcd6707980d6a311eadce49f65bb Mon Sep 17 00:00:00 2001 From: edogab33 Date: Mon, 24 Jun 2024 18:55:18 +0200 Subject: [PATCH 81/91] Update README --- baselines/flanders/README.md | 4 ++-- baselines/flanders/_static/screenshot-7.png | Bin 65493 -> 65193 bytes 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/baselines/flanders/README.md b/baselines/flanders/README.md index 6f741da6212b..777dc9ba8967 100644 --- a/baselines/flanders/README.md +++ b/baselines/flanders/README.md @@ -1,8 +1,8 @@ --- -title: A Byzantine-Resilient Aggregation Scheme for Federated Learning via Matrix Autoregression on Client Updates +title: Protecting Federated Learning from Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection url: https://arxiv.org/abs/2303.16668 labels: [robustness, model poisoning, anomaly detection, autoregressive model, regression, classification] -dataset: [MNIST, Income, CIFAR-10, California Housing] +dataset: [MNIST, FashionMNIST] --- **Paper:** [arxiv.org/abs/2303.16668](https://arxiv.org/abs/2303.16668) diff --git a/baselines/flanders/_static/screenshot-7.png b/baselines/flanders/_static/screenshot-7.png index 8deec4f6ca018ba612f83ef25ec8355f32401692..cda98c21d0349fbe7b02601839c002b934d50791 100644 GIT binary patch literal 65193 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z>EQqUjY4BE3s|CH`i=jZyD27kF#=L;T>t&Rqe`fge(=xmf6x6DJ&b^8_-8u+Im`|L^CW7DAj1rx6)vH$=8 From ebb9e033a6159cf73c0825e6d39f98f80a6f70ac Mon Sep 17 00:00:00 2001 From: edogab33 Date: Mon, 24 Jun 2024 18:57:38 +0200 Subject: [PATCH 82/91] Update README --- baselines/flanders/README.md | 2 +- .../_static/{screenshot-7.png => screenshot-8.png} | Bin 2 files changed, 1 insertion(+), 1 deletion(-) rename baselines/flanders/_static/{screenshot-7.png => screenshot-8.png} (100%) diff --git a/baselines/flanders/README.md b/baselines/flanders/README.md index 777dc9ba8967..f30e9be51d10 100644 --- a/baselines/flanders/README.md +++ b/baselines/flanders/README.md @@ -126,7 +126,7 @@ To generate the plots, use the notebook in `plotting/plots.ipynb`. ### Accuracy over multiple rounds **(left) MNIST, FLANDERS+FedAvg with 80% of malicious clients (b = 80); (right) Vanilla FedAvg in the same setting:** -![alt text](_static/screenshot-7.png) +![alt text](_static/screenshot-8.png) ### Precision and Recall of FLANDERS diff --git a/baselines/flanders/_static/screenshot-7.png b/baselines/flanders/_static/screenshot-8.png similarity index 100% rename from baselines/flanders/_static/screenshot-7.png rename to baselines/flanders/_static/screenshot-8.png From b288989837e2bacba397a25663a3470548aaf98f Mon Sep 17 00:00:00 2001 From: edogab33 Date: Mon, 24 Jun 2024 19:06:06 +0200 Subject: [PATCH 83/91] Update README --- baselines/flanders/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/baselines/flanders/README.md b/baselines/flanders/README.md index f30e9be51d10..b90ae9a69da4 100644 --- a/baselines/flanders/README.md +++ b/baselines/flanders/README.md @@ -126,7 +126,7 @@ To generate the plots, use the notebook in `plotting/plots.ipynb`. ### Accuracy over multiple rounds **(left) MNIST, FLANDERS+FedAvg with 80% of malicious clients (b = 80); (right) Vanilla FedAvg in the same setting:** -![alt text](_static/screenshot-8.png) +![acc_over_rounds](_static/screenshot-8.png) ### Precision and Recall of FLANDERS From 78e87867cde8aaa5cedd2a935706aca380a2916a Mon Sep 17 00:00:00 2001 From: Edoardo Gabrielli Date: Tue, 16 Jul 2024 11:06:36 +0200 Subject: [PATCH 84/91] Update README.md --- baselines/flanders/README.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/baselines/flanders/README.md b/baselines/flanders/README.md index b90ae9a69da4..45bd018ba0a6 100644 --- a/baselines/flanders/README.md +++ b/baselines/flanders/README.md @@ -13,7 +13,7 @@ dataset: [MNIST, FashionMNIST] ## About this baseline -**What’s implemented:** The code in this directory replicates the results of FLANDERS+\[baseline\] on MNIST and Fashion-MNIST under all attack settings: Gaussian, LIE, OPT, and AGR-MM; with $r=[0.2,0.6,0.8]$, specifically about tables 1, 3, 10, 11, 15, 17, 19, 20 and Figure 3. +**What’s implemented:** The code in this directory replicates the results of FLANDERS+\[baseline\] on MNIST and Fashion-MNIST under all attack settings: Gaussian, LIE, OPT, and AGR-MM; with $r=[0.2,0.6,0.8]$ (i.e., the fraction of malicious clients), specifically about tables 1, 3, 10, 11, 15, 17, 19, 20 and Figure 3. **Datasets:** MNIST, FMNIST @@ -62,10 +62,10 @@ Fashion-MNIST (multilabel classification, fully connected, feed forward NN): | Dataset | # of clients | Clients per round | # of rounds | Batch size | Learning rate | Optimizer | Dropout | Alpha | Beta | # of clients to keep | Sampling | | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -| MNIST | 100 | 100 | 50 | 32 | $10^{-3}$ | Adam | 0.2 | 0.0 | 0.0 | $m - f$ | 500 | -| FMNIST | 100 | 100 | 50 | 32 | $10^{-3}$ | Adam | 0.2 | 0.0 | 0.0 | $m - f$ | 500 | +| MNIST | 100 | 100 | 50 | 32 | $10^{-3}$ | Adam | 0.2 | 0.0 | 0.0 | $m - b$ | 500 | +| FMNIST | 100 | 100 | 50 | 32 | $10^{-3}$ | Adam | 0.2 | 0.0 | 0.0 | $m - b$ | 500 | -Where $m$ is the number of clients partecipating during n-th round and $f$ is the number of malicious clients. The variable $sampling$ identifies how many parameters MAR analyzes. +Where $m$ is the number of clients partecipating during n-th round and $b$ is the number of malicious clients. The variable $sampling$ identifies how many parameters MAR analyzes. ## Environment Setup @@ -162,4 +162,4 @@ To generate the plots, use the notebook in `plotting/plots.ipynb`. --- **b = 80:** -![alt text](_static/screenshot-3.png) \ No newline at end of file +![alt text](_static/screenshot-3.png) From 3bfe818a2fc16898501088c67b8a0a447bd75e39 Mon Sep 17 00:00:00 2001 From: Edoardo Gabrielli Date: Fri, 26 Jul 2024 12:05:19 +0200 Subject: [PATCH 85/91] Update baselines/flanders/flanders/client.py Co-authored-by: Javier --- baselines/flanders/flanders/client.py | 1 - 1 file changed, 1 deletion(-) diff --git a/baselines/flanders/flanders/client.py b/baselines/flanders/flanders/client.py index d434cb038edb..232b07e75bbb 100644 --- a/baselines/flanders/flanders/client.py +++ b/baselines/flanders/flanders/client.py @@ -54,7 +54,6 @@ def __init__(self, cid, fed_dir_data): self.device = torch.device("mps") else: self.device = torch.device("cpu") - print("Device: ", self.device) def get_parameters(self, config): """Get model parameters as a list of NumPy ndarrays.""" From 67c947755d0d758c385d2042aecf719d90f60511 Mon Sep 17 00:00:00 2001 From: Edoardo Gabrielli Date: Fri, 26 Jul 2024 12:05:28 +0200 Subject: [PATCH 86/91] Update baselines/flanders/flanders/client.py Co-authored-by: Javier --- baselines/flanders/flanders/client.py | 1 - 1 file changed, 1 deletion(-) diff --git a/baselines/flanders/flanders/client.py b/baselines/flanders/flanders/client.py index 232b07e75bbb..57513ccf7291 100644 --- a/baselines/flanders/flanders/client.py +++ b/baselines/flanders/flanders/client.py @@ -124,7 +124,6 @@ def __init__(self, cid, fed_dir_data): self.device = torch.device("mps") else: self.device = torch.device("cpu") - print("Device: ", self.device) def get_parameters(self, config): """Get model parameters as a list of NumPy ndarrays.""" From b658515bc468eca95126f1505a7e0eeb80236046 Mon Sep 17 00:00:00 2001 From: Edoardo Gabrielli Date: Fri, 26 Jul 2024 12:05:39 +0200 Subject: [PATCH 87/91] Update baselines/flanders/README.md Co-authored-by: Javier --- baselines/flanders/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/baselines/flanders/README.md b/baselines/flanders/README.md index 45bd018ba0a6..393571e82a51 100644 --- a/baselines/flanders/README.md +++ b/baselines/flanders/README.md @@ -120,7 +120,7 @@ python -m flanders.main --multirun server.num_rounds=50 dataset=fmnist strategy= They will generate the results in `results/all_results.csv`. -To generate the plots, use the notebook in `plotting/plots.ipynb`. +To generate the plots, including the tables shown below, use the notebook in `plotting/`. ### Accuracy over multiple rounds From b5f35f259eff49b00edd74d0ce473628b21cf84d Mon Sep 17 00:00:00 2001 From: edogab33 Date: Fri, 26 Jul 2024 12:30:47 +0200 Subject: [PATCH 88/91] Update readme with sh file and notebook now automatically divides results into different files --- baselines/flanders/README.md | 7 ++++++- baselines/flanders/plotting/FLANDERS_results.ipynb | 2 +- 2 files changed, 7 insertions(+), 2 deletions(-) diff --git a/baselines/flanders/README.md b/baselines/flanders/README.md index 393571e82a51..e2e7121dc78f 100644 --- a/baselines/flanders/README.md +++ b/baselines/flanders/README.md @@ -98,12 +98,17 @@ To run custom experiments, you can override the default values like that: python -m flanders.main dataset=income server.attack_fn=lie server.num_malicious=1 ``` -Finally, to run multiple custom experiments: +To run multiple custom experiments: ```bash python -m flanders.main --multirun dataset=mnist,fmnist server.attack_fn=gaussian,lie,fang,minmax server.num_malicious=0,1,2,3,4,5 ``` +Finally, to run all the experiments of the paper, I've set up a script: + +```bash +sh run.sh +``` ## Expected Results diff --git a/baselines/flanders/plotting/FLANDERS_results.ipynb b/baselines/flanders/plotting/FLANDERS_results.ipynb index 6c4b357029d4..6b736796b7a3 100644 --- a/baselines/flanders/plotting/FLANDERS_results.ipynb +++ b/baselines/flanders/plotting/FLANDERS_results.ipynb @@ -1 +1 @@ -{"cells":[{"cell_type":"markdown","metadata":{"id":"Cg37xeuu7Xy5"},"source":["# Preliminaries"]},{"cell_type":"code","execution_count":2,"metadata":{"id":"J_Dh3sGVyb2w"},"outputs":[],"source":["import pandas as pd\n","from natsort import natsorted\n","import matplotlib.pyplot as plt"]},{"cell_type":"code","execution_count":3,"metadata":{"id":"FjlCyr_B8OdT"},"outputs":[],"source":["results_dir = \"../outputs/\""]},{"cell_type":"markdown","metadata":{"id":"VX2oCpZf7Z7y"},"source":["# Prepare data"]},{"cell_type":"markdown","metadata":{"id":"P_3Z05w0wvNB"},"source":["## Utils"]},{"cell_type":"code","execution_count":4,"metadata":{"id":"fZSDCuT497HV"},"outputs":[],"source":["def print_unique_data(results_df):\n"," for col in [\"attack_fn\", \"num_malicious\", \"dataset_name\", \"strategy\", \"aggregate_fn\"]:\n"," print(f\"Unique values in {col}: {results_df[col].unique()}\")"]},{"cell_type":"code","execution_count":5,"metadata":{"id":"8GcIZNuu8q5Y"},"outputs":[],"source":["def translate_cols(df, attack_dict, dataset_dict, strategy_dict, aggregate_dict):\n"," column_names = [\"attack_fn\", \"dataset_name\", \"strategy\", \"aggregate_fn\"]\n"," for idx, d in enumerate([attack_dict, dataset_dict, strategy_dict, aggregate_dict]):\n"," df[column_names[idx]] = df[column_names[idx]].replace(d)\n"," return df"]},{"cell_type":"code","execution_count":6,"metadata":{"id":"oHcF2pl8sdOG"},"outputs":[],"source":["attack_dict = {\n"," \"gaussian\": \"GAUSS\",\n"," \"lie\": \"LIE\",\n"," \"fang\": \"OPT\",\n"," \"minmax\": \"AGR-MM\",\n"," \"adaptive\": \"MAR-ATK\"\n","}\n","\n","dataset_dict = {\n"," \"mnist\": \"MNIST\",\n"," \"fmnist\": \"FMNIST\",\n"," \"cifar\": \"CIFAR-10\",\n"," \"cifar100\": \"CIFAR-100\"\n","}\n","\n","strategy_dict = {\n"," \"flanders\": \"FLANDERS\",\n"," \"fedavg\": \"FedAvg\",\n"," \"fedmedian\": \"FedMedian\",\n"," \"trimmedmean\": \"TrimmedMean\",\n"," \"bulyan\": \"Bulyan\",\n"," \"krum\": \"MultiKrum\",\n"," \"fldetector\": \"FLDetector\"\n","}\n","\n","aggregate_dict = {\n"," \"flwr.server.strategy.aggregate.aggregate\": \"FedAvg\",\n"," \"flwr.server.strategy.aggregate.aggregate_median\": \"FedMedian\",\n"," \"flwr.server.strategy.aggregate.aggregate_trimmed_avg\": \"TrimmedMean\",\n"," \"flwr.server.strategy.aggregate.aggregate_bulyan\": \"Bulyan\",\n"," \"flwr.server.strategy.aggregate.aggregate_krum\": \"MultiKrum\"\n","}"]},{"cell_type":"markdown","metadata":{"id":"y0XCCkuhwydB"},"source":["## MNIST"]},{"cell_type":"markdown","metadata":{"id":"NG2-2cpnyjkY"},"source":["### Use this shortcut"]},{"cell_type":"code","execution_count":7,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":244,"status":"ok","timestamp":1716376729975,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"lY85nEb6yrXu","outputId":"5439a3bc-684f-492f-b615-53e2252cd94c"},"outputs":[{"data":{"text/html":["

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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00720.8331210.10450.5034220000GAUSSMNIST0FLANDERSFedAvg
11664.5222520.20890.5631160000GAUSSMNIST0FLANDERSFedAvg
22624.6338260.35600.6447310000GAUSSMNIST0FLANDERSFedAvg
33581.4764720.47730.710941010000GAUSSMNIST0FLANDERSFedAvg
44545.1142050.54300.746970020000GAUSSMNIST0FLANDERSFedAvg
..........................................
356546724.2817250.10250.5004790000AGR-MMMNIST80dncFedAvg
356647724.3501380.10240.5004210000AGR-MMMNIST80dncFedAvg
356748724.5352630.10250.5004790000AGR-MMMNIST80dncFedAvg
356849724.5888810.10280.5005980000AGR-MMMNIST80dncFedAvg
356950724.7838510.10280.5006020000AGR-MMMNIST80dncFedAvg
\n","

7548 rows × 13 columns

\n","
"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 720.833121 0.1045 0.503422 0 0 0 0 GAUSS \n","1 1 664.522252 0.2089 0.563116 0 0 0 0 GAUSS \n","2 2 624.633826 0.3560 0.644731 0 0 0 0 GAUSS \n","3 3 581.476472 0.4773 0.710941 0 100 0 0 GAUSS \n","4 4 545.114205 0.5430 0.746970 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 724.281725 0.1025 0.500479 0 0 0 0 AGR-MM \n","3566 47 724.350138 0.1024 0.500421 0 0 0 0 AGR-MM \n","3567 48 724.535263 0.1025 0.500479 0 0 0 0 AGR-MM \n","3568 49 724.588881 0.1028 0.500598 0 0 0 0 AGR-MM \n","3569 50 724.783851 0.1028 0.500602 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 MNIST 0 FLANDERS FedAvg \n","1 MNIST 0 FLANDERS FedAvg \n","2 MNIST 0 FLANDERS FedAvg \n","3 MNIST 0 FLANDERS FedAvg \n","4 MNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 MNIST 80 dnc FedAvg \n","3566 MNIST 80 dnc FedAvg \n","3567 MNIST 80 dnc FedAvg \n","3568 MNIST 80 dnc FedAvg \n","3569 MNIST 80 dnc FedAvg \n","\n","[7548 rows x 13 columns]"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["# CSV pre-processing MNIST\n","results_flanders_file = results_dir + \"all_results_mnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_mnist_no_flanders.csv\"\n","results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)\n","results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","mnist_df = pd.concat([results_flanders_df, results_no_flanders_df])\n","mnist_df"]},{"cell_type":"code","execution_count":7,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":9,"status":"ok","timestamp":1716115669854,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"hg3ysnqiNrms","outputId":"bae8ab71-ce7b-409a-b154-6ad42f9dfc3b"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'dnc']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc']\n"]}],"source":["print_unique_data(mnist_df)"]},{"cell_type":"markdown","metadata":{"id":"dE_uqUeuyl6M"},"source":["### Step-by-step processing"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"R9Cpe8bF8a2z"},"outputs":[],"source":["results_flanders_file = results_dir + \"all_results_mnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_mnist_no_flanders.csv\""]},{"cell_type":"code","execution_count":null,"metadata":{"id":"8nPsIraZ7nJK"},"outputs":[],"source":["results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1707513800371,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"oC_C6WVMshle","outputId":"20708ffb-24d9-4d94-fc83-6ab93c8d4ed0"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['mnist']\n","Unique values in strategy: ['flanders']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate'\n"," 'flwr.server.strategy.aggregate.aggregate_trimmed_avg'\n"," 'flwr.server.strategy.aggregate.aggregate_median'\n"," 'flwr.server.strategy.aggregate.aggregate_bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc'\n"," 'flwr.server.strategy.aggregate.aggregate_krum']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":423,"status":"ok","timestamp":1707478795736,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"2xSStl9-52cc","outputId":"391a3d7c-c4b5-486c-85a2-97d9a5ddb30d"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 40 60 80]\n","Unique values in dataset_name: ['mnist']\n","Unique values in strategy: ['fedavg' 'trimmedmean' 'fedmedian' 'bulyan' 'dnc' 'krum']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"8dEepZY28raZ"},"source":["Translate strings"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"zNPGc6YJ7E_J"},"outputs":[],"source":["results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"AQaNnF1K7TQc"},"outputs":[],"source":["results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":393,"status":"ok","timestamp":1707478246670,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"MXYnAzh8V-9t","outputId":"8f09ab5c-cd3e-4627-9f76-5f474ec09227"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FLANDERS']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":8,"status":"ok","timestamp":1707472989224,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"7xmPF5X77VQk","outputId":"f8e8331e-cde6-4413-f795-f0fe1a9cdd19"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 40 60 80]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n","Unique values in aggregate_fn: ['FedAvg']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"mjTmoV2M9YTk"},"source":["Concatenate the 2 dataframes, namely FLANDERS+f and baselines:"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"apvpT9Ve8wwv"},"outputs":[],"source":["mnist_df = pd.concat([results_flanders_df, results_no_flanders_df])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":424},"executionInfo":{"elapsed":5,"status":"ok","timestamp":1707513807441,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"aZuW73BW9Iu3","outputId":"3f558906-0d55-4ccd-e64f-5b62203ae746"},"outputs":[{"data":{"text/html":["\n","
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00720.2770980.10850.5048670000GAUSSMNIST0FLANDERSFedAvg
11675.0509400.45480.6994830000GAUSSMNIST0FLANDERSFedAvg
22647.6366430.52110.7358450000GAUSSMNIST0FLANDERSFedAvg
33614.4347950.56950.761650010000GAUSSMNIST0FLANDERSFedAvg
44584.1685070.60690.781741020000GAUSSMNIST0FLANDERSFedAvg
..........................................
397346292.8117450.74960.8612950000AGR-MMMNIST20MultiKrumFedAvg
397447289.7818840.75920.8668850000AGR-MMMNIST20MultiKrumFedAvg
397548287.8744360.76080.8679520000AGR-MMMNIST20MultiKrumFedAvg
397649288.8327780.74960.8615780000AGR-MMMNIST20MultiKrumFedAvg
397750290.4446540.74350.8580720000AGR-MMMNIST20MultiKrumFedAvg
\n","

8007 rows × 13 columns

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\n"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 720.277098 0.1085 0.504867 0 0 0 0 GAUSS \n","1 1 675.050940 0.4548 0.699483 0 0 0 0 GAUSS \n","2 2 647.636643 0.5211 0.735845 0 0 0 0 GAUSS \n","3 3 614.434795 0.5695 0.761650 0 100 0 0 GAUSS \n","4 4 584.168507 0.6069 0.781741 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3973 46 292.811745 0.7496 0.861295 0 0 0 0 AGR-MM \n","3974 47 289.781884 0.7592 0.866885 0 0 0 0 AGR-MM \n","3975 48 287.874436 0.7608 0.867952 0 0 0 0 AGR-MM \n","3976 49 288.832778 0.7496 0.861578 0 0 0 0 AGR-MM \n","3977 50 290.444654 0.7435 0.858072 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 MNIST 0 FLANDERS FedAvg \n","1 MNIST 0 FLANDERS FedAvg \n","2 MNIST 0 FLANDERS FedAvg \n","3 MNIST 0 FLANDERS FedAvg \n","4 MNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3973 MNIST 20 MultiKrum FedAvg \n","3974 MNIST 20 MultiKrum FedAvg \n","3975 MNIST 20 MultiKrum FedAvg \n","3976 MNIST 20 MultiKrum FedAvg \n","3977 MNIST 20 MultiKrum FedAvg \n","\n","[8007 rows x 13 columns]"]},"execution_count":54,"metadata":{},"output_type":"execute_result"}],"source":["mnist_df"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1707480685917,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"Ub0W-iA69LpR","outputId":"bfbcaf9e-575c-4d02-e9f0-0be7e74accb4"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80 40]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n"]}],"source":["print_unique_data(mnist_df)"]},{"cell_type":"markdown","metadata":{"id":"E3TZ_fJuTVuU"},"source":["## Fashion MNIST"]},{"cell_type":"markdown","metadata":{"id":"45GAIKG9Tmyb"},"source":["### Use this shortcut"]},{"cell_type":"code","execution_count":8,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":327,"status":"ok","timestamp":1716376732776,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"Qju5S7VmTpB_","outputId":"fbe0aed8-164c-4343-9949-e9fa7cc7f0a7"},"outputs":[{"data":{"text/html":["
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
0023082.3338130.06310.4795000000GAUSSFMNIST0FLANDERSFedAvg
1121920.1315610.19770.5542780000GAUSSFMNIST0FLANDERSFedAvg
2217859.0960200.42100.6783330000GAUSSFMNIST0FLANDERSFedAvg
3315559.0449260.49200.717778010000GAUSSFMNIST0FLANDERSFedAvg
4414684.1937220.50010.722278020000GAUSSFMNIST0FLANDERSFedAvg
..........................................
35654623279.5649070.10000.5000000000AGR-MMFMNIST80dncFedAvg
35664723290.9804420.10000.5000000000AGR-MMFMNIST80dncFedAvg
35674823302.2510220.10000.5000000000AGR-MMFMNIST80dncFedAvg
35684923312.5125960.10000.5000000000AGR-MMFMNIST80dncFedAvg
35695023326.1161770.10000.5000000000AGR-MMFMNIST80dncFedAvg
\n","

6884 rows × 13 columns

\n","
"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 23082.333813 0.0631 0.479500 0 0 0 0 GAUSS \n","1 1 21920.131561 0.1977 0.554278 0 0 0 0 GAUSS \n","2 2 17859.096020 0.4210 0.678333 0 0 0 0 GAUSS \n","3 3 15559.044926 0.4920 0.717778 0 100 0 0 GAUSS \n","4 4 14684.193722 0.5001 0.722278 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 23279.564907 0.1000 0.500000 0 0 0 0 AGR-MM \n","3566 47 23290.980442 0.1000 0.500000 0 0 0 0 AGR-MM \n","3567 48 23302.251022 0.1000 0.500000 0 0 0 0 AGR-MM \n","3568 49 23312.512596 0.1000 0.500000 0 0 0 0 AGR-MM \n","3569 50 23326.116177 0.1000 0.500000 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 FMNIST 0 FLANDERS FedAvg \n","1 FMNIST 0 FLANDERS FedAvg \n","2 FMNIST 0 FLANDERS FedAvg \n","3 FMNIST 0 FLANDERS FedAvg \n","4 FMNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 FMNIST 80 dnc FedAvg \n","3566 FMNIST 80 dnc FedAvg \n","3567 FMNIST 80 dnc FedAvg \n","3568 FMNIST 80 dnc FedAvg \n","3569 FMNIST 80 dnc FedAvg \n","\n","[6884 rows x 13 columns]"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["# CSV pre-processing FMNIST\n","results_flanders_file = results_dir + \"all_results_fmnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_fmnist_no_flanders.csv\"\n","results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)\n","results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","fmnist_df = pd.concat([results_flanders_df, results_no_flanders_df])\n","fmnist_df"]},{"cell_type":"code","execution_count":9,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1,"status":"ok","timestamp":1716047458204,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"08YXqMTZNpN6","outputId":"9de6cdc8-241e-4867-cd53-645434b99ce2"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['FMNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'dnc']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan']\n"]}],"source":["print_unique_data(fmnist_df)"]},{"cell_type":"markdown","metadata":{"id":"9vVX6wsxT-rc"},"source":["### Step-by-step processing"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"j0ZnLmVnUBT3"},"outputs":[],"source":["results_flanders_file = results_dir + \"all_results_fmnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_fmnist_no_flanders.csv\""]},{"cell_type":"code","execution_count":null,"metadata":{"id":"qsYaQiAWUBOw"},"outputs":[],"source":["results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":250,"status":"ok","timestamp":1709217712591,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"m1VKWq_jUHyY","outputId":"5bd5b442-4ab4-473d-bc60-b6f5fdc6320d"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['flanders']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate'\n"," 'flwr.server.strategy.aggregate.aggregate_trimmed_avg'\n"," 'flwr.server.strategy.aggregate.aggregate_median'\n"," 'flwr.server.strategy.aggregate.aggregate_krum'\n"," 'flwr.server.strategy.aggregate.aggregate_bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1709217720407,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"IxPT9D6DUJN3","outputId":"ded1f8b2-baf5-437b-abe3-25bad7a3c4ad"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['fedavg' 'trimmedmean' 'fedmedian' 'krum' 'bulyan' 'dnc']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"X8k98LNrUaLp"},"source":["Translate strings"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"zHNwpvZMUaLq"},"outputs":[],"source":["results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"9zMOOjCiUaLr"},"outputs":[],"source":["results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1709217802421,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"tygeoDz6UaLr","outputId":"2441a31a-ead0-4adf-8b95-73d75c6b3739"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['FLANDERS']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1709217803343,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"b8Xo1VseUaLr","outputId":"1fbb0a64-0695-4a89-eec1-e0a18ba54c40"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n","Unique values in aggregate_fn: ['FedAvg']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"zkmqmUTzUaLr"},"source":["Concatenate the 2 dataframes, namely FLANDERS+f and baselines:"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"m-wRVa9eUaLr"},"outputs":[],"source":["fmnist_df = pd.concat([results_flanders_df, results_no_flanders_df])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1709217813677,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"IhpjH5n1UaLs","outputId":"73f9a359-9f74-4e5e-b518-25af272b2207"},"outputs":[{"data":{"application/vnd.google.colaboratory.intrinsic+json":{"summary":"{\n \"name\": \"fmnist_df\",\n \"rows\": 7497,\n \"fields\": [\n {\n \"column\": \"round\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 14,\n \"min\": 0,\n \"max\": 50,\n \"num_unique_values\": 51,\n \"samples\": [\n 43,\n 40,\n 46\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"loss\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 5.098805154030721e+18,\n \"min\": 232.3792065680027,\n \"max\": 4.3645751884391645e+19,\n \"num_unique_values\": 7267,\n \"samples\": [\n 257.05002358555794,\n 303.2543874382973,\n 376.6231798529625\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"accuracy\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.2308533481360291,\n \"min\": 0.038,\n \"max\": 0.7626,\n \"num_unique_values\": 2608,\n \"samples\": [\n 0.3327,\n 0.4714,\n 0.5971\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"auc\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.12825186007557174,\n \"min\": 0.4655555555555556,\n \"max\": 0.8681111111111113,\n \"num_unique_values\": 3478,\n \"samples\": [\n 0.553,\n 0.8093333333333333,\n 0.7679999999999999\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"TP\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 944,\n \"min\": 0,\n \"max\": 3840,\n \"num_unique_values\": 292,\n \"samples\": [\n 1380,\n 165,\n 900\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"TN\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 943,\n \"min\": 0,\n \"max\": 4800,\n \"num_unique_values\": 439,\n \"samples\": [\n 195,\n 2960,\n 2584\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"FP\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 88,\n \"min\": 0,\n \"max\": 835,\n \"num_unique_values\": 259,\n \"samples\": [\n 333,\n 782,\n 156\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"FN\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 88,\n \"min\": 0,\n \"max\": 835,\n \"num_unique_values\": 259,\n \"samples\": [\n 333,\n 782,\n 156\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"attack_fn\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 4,\n \"samples\": [\n \"LIE\",\n \"AGR-MM\",\n \"GAUSS\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"dataset_name\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"fmnist\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"num_malicious\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 28,\n \"min\": 0,\n \"max\": 80,\n \"num_unique_values\": 4,\n \"samples\": [\n 20\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"strategy\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 7,\n \"samples\": [\n \"FLANDERS\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"aggregate_fn\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 6,\n \"samples\": [\n \"FedAvg\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}","type":"dataframe","variable_name":"fmnist_df"},"text/html":["\n","
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00722.5733350.09600.4977780000GAUSSfmnist0FLANDERSFedAvg
11679.1645870.22190.5677220000GAUSSfmnist0FLANDERSFedAvg
22559.4500050.45820.6990000000GAUSSfmnist0FLANDERSFedAvg
33473.0433670.53890.743833010000GAUSSfmnist0FLANDERSFedAvg
44438.4357100.56860.760333020000GAUSSfmnist0FLANDERSFedAvg
..........................................
356546729.7860360.10000.5000000000AGR-MMfmnist80DnCFedAvg
356647730.0917940.10000.5000000000AGR-MMfmnist80DnCFedAvg
356748730.4244920.10000.5000000000AGR-MMfmnist80DnCFedAvg
356849730.7109820.10000.5000000000AGR-MMfmnist80DnCFedAvg
356950731.0777110.10000.5000000000AGR-MMfmnist80DnCFedAvg
\n","

7497 rows × 13 columns

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\n"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 722.573335 0.0960 0.497778 0 0 0 0 GAUSS \n","1 1 679.164587 0.2219 0.567722 0 0 0 0 GAUSS \n","2 2 559.450005 0.4582 0.699000 0 0 0 0 GAUSS \n","3 3 473.043367 0.5389 0.743833 0 100 0 0 GAUSS \n","4 4 438.435710 0.5686 0.760333 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 729.786036 0.1000 0.500000 0 0 0 0 AGR-MM \n","3566 47 730.091794 0.1000 0.500000 0 0 0 0 AGR-MM \n","3567 48 730.424492 0.1000 0.500000 0 0 0 0 AGR-MM \n","3568 49 730.710982 0.1000 0.500000 0 0 0 0 AGR-MM \n","3569 50 731.077711 0.1000 0.500000 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 fmnist 0 FLANDERS FedAvg \n","1 fmnist 0 FLANDERS FedAvg \n","2 fmnist 0 FLANDERS FedAvg \n","3 fmnist 0 FLANDERS FedAvg \n","4 fmnist 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 fmnist 80 DnC FedAvg \n","3566 fmnist 80 DnC FedAvg \n","3567 fmnist 80 DnC FedAvg \n","3568 fmnist 80 DnC FedAvg \n","3569 fmnist 80 DnC FedAvg \n","\n","[7497 rows x 13 columns]"]},"execution_count":20,"metadata":{},"output_type":"execute_result"}],"source":["fmnist_df"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6,"status":"ok","timestamp":1709217818750,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"XYwnEFa2UaLs","outputId":"44dcb4de-f892-4555-b5d8-8cfcacd37137"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n"]}],"source":["print_unique_data(fmnist_df)"]},{"cell_type":"code","execution_count":20,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":249,"status":"ok","timestamp":1716376734931,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"VY5G4tF1yVHN","outputId":"cf11f084-16b5-45b2-e1ae-6d9455909720"},"outputs":[{"ename":"FileNotFoundError","evalue":"[Errno 2] No such file or directory: '../outputs/all_results_cifar_flanders.csv'","output_type":"error","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)","Cell \u001b[0;32mIn[20], line 4\u001b[0m\n\u001b[1;32m 2\u001b[0m results_flanders_file \u001b[38;5;241m=\u001b[39m results_dir \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mall_results_cifar_flanders.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 3\u001b[0m results_no_flanders_file \u001b[38;5;241m=\u001b[39m results_dir \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mall_results_cifar_no_flanders.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m----> 4\u001b[0m results_flanders_df \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_csv\u001b[49m\u001b[43m(\u001b[49m\u001b[43mresults_flanders_file\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 5\u001b[0m results_no_flanders_df \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mread_csv(results_no_flanders_file)\n\u001b[1;32m 6\u001b[0m results_flanders_df \u001b[38;5;241m=\u001b[39m translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:948\u001b[0m, in \u001b[0;36mread_csv\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend)\u001b[0m\n\u001b[1;32m 935\u001b[0m kwds_defaults \u001b[38;5;241m=\u001b[39m _refine_defaults_read(\n\u001b[1;32m 936\u001b[0m dialect,\n\u001b[1;32m 937\u001b[0m delimiter,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 944\u001b[0m dtype_backend\u001b[38;5;241m=\u001b[39mdtype_backend,\n\u001b[1;32m 945\u001b[0m )\n\u001b[1;32m 946\u001b[0m kwds\u001b[38;5;241m.\u001b[39mupdate(kwds_defaults)\n\u001b[0;32m--> 948\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_read\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:611\u001b[0m, in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m 608\u001b[0m _validate_names(kwds\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnames\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m))\n\u001b[1;32m 610\u001b[0m \u001b[38;5;66;03m# Create the parser.\u001b[39;00m\n\u001b[0;32m--> 611\u001b[0m parser \u001b[38;5;241m=\u001b[39m \u001b[43mTextFileReader\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 613\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m chunksize \u001b[38;5;129;01mor\u001b[39;00m iterator:\n\u001b[1;32m 614\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m parser\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:1448\u001b[0m, in \u001b[0;36mTextFileReader.__init__\u001b[0;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[1;32m 1445\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m kwds[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[1;32m 1447\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles: IOHandles \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m-> 1448\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_engine \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_make_engine\u001b[49m\u001b[43m(\u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mengine\u001b[49m\u001b[43m)\u001b[49m\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:1705\u001b[0m, in \u001b[0;36mTextFileReader._make_engine\u001b[0;34m(self, f, engine)\u001b[0m\n\u001b[1;32m 1703\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m mode:\n\u001b[1;32m 1704\u001b[0m mode \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m-> 1705\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;241m=\u001b[39m \u001b[43mget_handle\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1706\u001b[0m \u001b[43m \u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1707\u001b[0m \u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1708\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1709\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompression\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcompression\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1710\u001b[0m \u001b[43m \u001b[49m\u001b[43mmemory_map\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmemory_map\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1711\u001b[0m \u001b[43m \u001b[49m\u001b[43mis_text\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mis_text\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1712\u001b[0m \u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding_errors\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstrict\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1713\u001b[0m \u001b[43m \u001b[49m\u001b[43mstorage_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstorage_options\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1714\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1715\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 1716\u001b[0m f \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles\u001b[38;5;241m.\u001b[39mhandle\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/common.py:863\u001b[0m, in \u001b[0;36mget_handle\u001b[0;34m(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)\u001b[0m\n\u001b[1;32m 858\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(handle, \u001b[38;5;28mstr\u001b[39m):\n\u001b[1;32m 859\u001b[0m \u001b[38;5;66;03m# Check whether the filename is to be opened in binary mode.\u001b[39;00m\n\u001b[1;32m 860\u001b[0m \u001b[38;5;66;03m# Binary mode does not support 'encoding' and 'newline'.\u001b[39;00m\n\u001b[1;32m 861\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mencoding \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mmode:\n\u001b[1;32m 862\u001b[0m \u001b[38;5;66;03m# Encoding\u001b[39;00m\n\u001b[0;32m--> 863\u001b[0m handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\n\u001b[1;32m 864\u001b[0m \u001b[43m \u001b[49m\u001b[43mhandle\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 865\u001b[0m \u001b[43m \u001b[49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 866\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 867\u001b[0m \u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 868\u001b[0m \u001b[43m \u001b[49m\u001b[43mnewline\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 869\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 870\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 871\u001b[0m \u001b[38;5;66;03m# Binary mode\u001b[39;00m\n\u001b[1;32m 872\u001b[0m handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mopen\u001b[39m(handle, ioargs\u001b[38;5;241m.\u001b[39mmode)\n","\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '../outputs/all_results_cifar_flanders.csv'"]}],"source":["# CSV pre-processing CIFAR-10\n","results_flanders_file = results_dir + \"all_results_cifar_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_cifar_no_flanders.csv\"\n","results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)\n","results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","cifar_df = pd.concat([results_flanders_df, results_no_flanders_df])\n","cifar_df"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1716047460925,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"y7wfUI0eyeEp","outputId":"48c324d7-5816-406e-dd8a-284172967e90"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80 40]\n","Unique values in dataset_name: ['CIFAR-10']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'DnC' 'MultiKrum' 'Bulyan'\n"," 'FLDetector']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n"]}],"source":["print_unique_data(cifar_df)"]},{"cell_type":"markdown","metadata":{"id":"1TUxrAF6w6cY"},"source":["## Unify datasets"]},{"cell_type":"code","execution_count":9,"metadata":{"id":"R2wOP2Eex7X2"},"outputs":[],"source":["all_datasets_df = pd.concat([mnist_df, fmnist_df])"]},{"cell_type":"code","execution_count":10,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":428,"status":"ok","timestamp":1716376740426,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"jwDN17ygyFK7","outputId":"c3db739f-98b7-4070-f826-4344553e9ab7"},"outputs":[{"data":{"text/html":["
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00720.8331210.10450.5034220000GAUSSMNIST0FLANDERSFedAvg
11664.5222520.20890.5631160000GAUSSMNIST0FLANDERSFedAvg
22624.6338260.35600.6447310000GAUSSMNIST0FLANDERSFedAvg
33581.4764720.47730.710941010000GAUSSMNIST0FLANDERSFedAvg
44545.1142050.54300.746970020000GAUSSMNIST0FLANDERSFedAvg
..........................................
35654623279.5649070.10000.5000000000AGR-MMFMNIST80dncFedAvg
35664723290.9804420.10000.5000000000AGR-MMFMNIST80dncFedAvg
35674823302.2510220.10000.5000000000AGR-MMFMNIST80dncFedAvg
35684923312.5125960.10000.5000000000AGR-MMFMNIST80dncFedAvg
35695023326.1161770.10000.5000000000AGR-MMFMNIST80dncFedAvg
\n","

14432 rows × 13 columns

\n","
"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 720.833121 0.1045 0.503422 0 0 0 0 GAUSS \n","1 1 664.522252 0.2089 0.563116 0 0 0 0 GAUSS \n","2 2 624.633826 0.3560 0.644731 0 0 0 0 GAUSS \n","3 3 581.476472 0.4773 0.710941 0 100 0 0 GAUSS \n","4 4 545.114205 0.5430 0.746970 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 23279.564907 0.1000 0.500000 0 0 0 0 AGR-MM \n","3566 47 23290.980442 0.1000 0.500000 0 0 0 0 AGR-MM \n","3567 48 23302.251022 0.1000 0.500000 0 0 0 0 AGR-MM \n","3568 49 23312.512596 0.1000 0.500000 0 0 0 0 AGR-MM \n","3569 50 23326.116177 0.1000 0.500000 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 MNIST 0 FLANDERS FedAvg \n","1 MNIST 0 FLANDERS FedAvg \n","2 MNIST 0 FLANDERS FedAvg \n","3 MNIST 0 FLANDERS FedAvg \n","4 MNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 FMNIST 80 dnc FedAvg \n","3566 FMNIST 80 dnc FedAvg \n","3567 FMNIST 80 dnc FedAvg \n","3568 FMNIST 80 dnc FedAvg \n","3569 FMNIST 80 dnc FedAvg \n","\n","[14432 rows x 13 columns]"]},"execution_count":10,"metadata":{},"output_type":"execute_result"}],"source":["all_datasets_df"]},{"cell_type":"code","execution_count":11,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2,"status":"ok","timestamp":1716376741411,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"VWrdDPtPyHHA","outputId":"1ef8b853-63f8-4eac-a785-578684dbf0a6"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['MNIST' 'FMNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'dnc']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc']\n"]}],"source":["print_unique_data(all_datasets_df)"]},{"cell_type":"markdown","metadata":{"id":"OlES57TEn2Ng"},"source":["# Tables\n"]},{"cell_type":"markdown","metadata":{"id":"hcHkTXfGbapg"},"source":["## Accuracy"]},{"cell_type":"markdown","metadata":{"id":"7F1YDs12sZbE"},"source":["### Best with improvment w.r.t. baseline"]},{"cell_type":"code","execution_count":26,"metadata":{"id":"GuQM8bzXnIGx"},"outputs":[],"source":["def accuracy_table(input_df, b):\n"," # Define strategies and attacks\n"," strategies = ['FedAvg', 'FLANDERS + FedAvg', 'FedMedian', 'FLANDERS + FedMedian', 'TrimmedMean', 'FLANDERS + TrimmedMean', 'MultiKrum', 'FLANDERS + MultiKrum', 'Bulyan', 'FLANDERS + Bulyan']\n"," attacks = ['GAUSS', 'LIE', 'OPT', 'AGR-MM']\n"," dataset_names = [\"MNIST\", \"FMNIST\"]\n","\n"," # Create MultiIndex for the columns\n"," columns = pd.MultiIndex.from_product([dataset_names, attacks], names=['Dataset', 'Attack'])\n","\n"," # Create an empty DataFrame with the defined columns and strategies\n"," df = pd.DataFrame(index=strategies, columns=columns)\n","\n"," filtered_df = input_df[(input_df['num_malicious'] == b) & (input_df['round'] >= 3)]\n"," baseline_df = filtered_df[filtered_df['strategy'] != 'FLANDERS']\n"," flanders_df = filtered_df[filtered_df['strategy'] == 'FLANDERS']\n","\n"," # Populate the DataFrame\n"," for strategy in ['FedAvg', 'TrimmedMean', 'FedMedian', 'MultiKrum', 'Bulyan']:\n"," for dataset in dataset_names:\n"," for attack in attacks:\n"," df.loc[strategy, (dataset, attack)] = round(baseline_df[(baseline_df['strategy']==strategy) & (baseline_df['attack_fn']==attack) & (baseline_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n"," df.loc[f\"FLANDERS + {strategy}\", (dataset, attack)] = round(flanders_df[(flanders_df['aggregate_fn']==strategy) & (flanders_df['attack_fn']==attack) & (flanders_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n","\n"," return df\n"]},{"cell_type":"code","execution_count":34,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":457},"executionInfo":{"elapsed":1243,"status":"ok","timestamp":1715943873268,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"PruXJg2vA87b","outputId":"98d83851-626b-4877-fd09-8f2f01200c65"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSGAUSS
FedAvg0.860.68
FLANDERS + FedAvg0.840.64
FedMedian0.830.71
FLANDERS + FedMedian0.760.73
TrimmedMean0.850.69
FLANDERS + TrimmedMean0.780.7
MultiKrum0.680.66
FLANDERS + MultiKrum0.740.73
Bulyan0.860.62
FLANDERS + Bulyan0.870.65
\n","
"],"text/plain":["Dataset MNIST FMNIST\n","Attack GAUSS GAUSS\n","FedAvg 0.86 0.68\n","FLANDERS + FedAvg 0.84 0.64\n","FedMedian 0.83 0.71\n","FLANDERS + FedMedian 0.76 0.73\n","TrimmedMean 0.85 0.69\n","FLANDERS + TrimmedMean 0.78 0.7\n","MultiKrum 0.68 0.66\n","FLANDERS + MultiKrum 0.74 0.73\n","Bulyan 0.86 0.62\n","FLANDERS + Bulyan 0.87 0.65"]},"execution_count":34,"metadata":{},"output_type":"execute_result"}],"source":["# Table 19\n","acc_0 = accuracy_table(all_datasets_df, 0).dropna(axis=1, how='all')\n","acc_0"]},{"cell_type":"code","execution_count":31,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":457},"executionInfo":{"elapsed":858,"status":"ok","timestamp":1715944158330,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"8bV7hABWbyMS","outputId":"6d24f87d-da15-40b2-8880-3b6dcefda1fd"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSLIEOPTAGR-MMGAUSSLIEOPTAGR-MM
FedAvg0.20.170.670.450.250.170.570.11
FLANDERS + FedAvg0.880.870.480.880.660.670.570.64
FedMedian0.80.660.790.590.660.650.670.6
FLANDERS + FedMedian0.850.850.660.830.710.690.630.73
TrimmedMean0.860.520.730.610.690.540.620.58
FLANDERS + TrimmedMean0.810.850.780.830.690.70.630.73
MultiKrum0.780.770.810.820.740.650.70.67
FLANDERS + MultiKrum0.820.860.840.820.730.70.730.71
Bulyan0.820.840.840.830.710.720.690.76
FLANDERS + Bulyan0.90.840.790.850.650.650.660.65
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","Attack GAUSS LIE OPT AGR-MM GAUSS LIE OPT AGR-MM\n","FedAvg 0.2 0.17 0.67 0.45 0.25 0.17 0.57 0.11\n","FLANDERS + FedAvg 0.88 0.87 0.48 0.88 0.66 0.67 0.57 0.64\n","FedMedian 0.8 0.66 0.79 0.59 0.66 0.65 0.67 0.6\n","FLANDERS + FedMedian 0.85 0.85 0.66 0.83 0.71 0.69 0.63 0.73\n","TrimmedMean 0.86 0.52 0.73 0.61 0.69 0.54 0.62 0.58\n","FLANDERS + TrimmedMean 0.81 0.85 0.78 0.83 0.69 0.7 0.63 0.73\n","MultiKrum 0.78 0.77 0.81 0.82 0.74 0.65 0.7 0.67\n","FLANDERS + MultiKrum 0.82 0.86 0.84 0.82 0.73 0.7 0.73 0.71\n","Bulyan 0.82 0.84 0.84 0.83 0.71 0.72 0.69 0.76\n","FLANDERS + Bulyan 0.9 0.84 0.79 0.85 0.65 0.65 0.66 0.65"]},"execution_count":31,"metadata":{},"output_type":"execute_result"}],"source":["# Table 15\n","acc_20 = accuracy_table(all_datasets_df, 20)\n","acc_20"]},{"cell_type":"markdown","metadata":{},"source":["Bulyan is NaN because it cannot work when the number of malicious clients is > 25%"]},{"cell_type":"code","execution_count":16,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1126,"status":"ok","timestamp":1716115710006,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"xSvgEwLoPmh3","outputId":"1c65e66e-7374-46f0-a2a5-0964bc40e49a"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSLIEOPTAGR-MMGAUSSLIEOPTAGR-MM
FedAvg0.190.150.20.160.280.10.190.1
FLANDERS + FedAvg0.760.880.850.850.690.670.710.67
FedMedian0.80.190.160.290.650.10.10.1
FLANDERS + FedMedian0.80.860.830.860.710.690.710.71
TrimmedMean0.250.20.330.10.330.10.170.1
FLANDERS + TrimmedMean0.780.870.840.830.70.710.730.74
MultiKrum0.790.140.220.150.710.10.120.1
FLANDERS + MultiKrum0.880.880.860.780.720.710.730.69
BulyanNaNNaNNaNNaNNaNNaNNaNNaN
FLANDERS + Bulyan0.890.870.90.850.680.640.60.69
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","Attack GAUSS LIE OPT AGR-MM GAUSS LIE OPT AGR-MM\n","FedAvg 0.19 0.15 0.2 0.16 0.28 0.1 0.19 0.1\n","FLANDERS + FedAvg 0.76 0.88 0.85 0.85 0.69 0.67 0.71 0.67\n","FedMedian 0.8 0.19 0.16 0.29 0.65 0.1 0.1 0.1\n","FLANDERS + FedMedian 0.8 0.86 0.83 0.86 0.71 0.69 0.71 0.71\n","TrimmedMean 0.25 0.2 0.33 0.1 0.33 0.1 0.17 0.1\n","FLANDERS + TrimmedMean 0.78 0.87 0.84 0.83 0.7 0.71 0.73 0.74\n","MultiKrum 0.79 0.14 0.22 0.15 0.71 0.1 0.12 0.1\n","FLANDERS + MultiKrum 0.88 0.88 0.86 0.78 0.72 0.71 0.73 0.69\n","Bulyan NaN NaN NaN NaN NaN NaN NaN NaN\n","FLANDERS + Bulyan 0.89 0.87 0.9 0.85 0.68 0.64 0.6 0.69"]},"execution_count":16,"metadata":{},"output_type":"execute_result"}],"source":["# Table 17\n","acc_60 = accuracy_table(all_datasets_df, 60)\n","acc_60"]},{"cell_type":"code","execution_count":17,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1188,"status":"ok","timestamp":1716050662469,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"dM_AMm_jcCye","outputId":"90533ef1-500f-40a3-f565-2c2ca1d68aaa"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSLIEOPTAGR-MMGAUSSLIEOPTAGR-MM
FedAvg0.210.160.310.130.240.10.180.1
FLANDERS + FedAvg0.850.860.880.850.690.70.690.66
FedMedian0.340.170.140.090.30.10.140.1
FLANDERS + FedMedian0.870.840.80.80.730.740.720.72
TrimmedMean0.170.150.210.140.210.10.120.1
FLANDERS + TrimmedMean0.810.850.810.820.740.730.70.69
MultiKrum0.820.210.320.110.720.10.150.1
FLANDERS + MultiKrum0.870.830.870.850.680.730.720.7
BulyanNaNNaNNaNNaNNaNNaNNaNNaN
FLANDERS + Bulyan0.840.840.830.80.690.720.690.68
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","Attack GAUSS LIE OPT AGR-MM GAUSS LIE OPT AGR-MM\n","FedAvg 0.21 0.16 0.31 0.13 0.24 0.1 0.18 0.1\n","FLANDERS + FedAvg 0.85 0.86 0.88 0.85 0.69 0.7 0.69 0.66\n","FedMedian 0.34 0.17 0.14 0.09 0.3 0.1 0.14 0.1\n","FLANDERS + FedMedian 0.87 0.84 0.8 0.8 0.73 0.74 0.72 0.72\n","TrimmedMean 0.17 0.15 0.21 0.14 0.21 0.1 0.12 0.1\n","FLANDERS + TrimmedMean 0.81 0.85 0.81 0.82 0.74 0.73 0.7 0.69\n","MultiKrum 0.82 0.21 0.32 0.11 0.72 0.1 0.15 0.1\n","FLANDERS + MultiKrum 0.87 0.83 0.87 0.85 0.68 0.73 0.72 0.7\n","Bulyan NaN NaN NaN NaN NaN NaN NaN NaN\n","FLANDERS + Bulyan 0.84 0.84 0.83 0.8 0.69 0.72 0.69 0.68"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["# Table 3\n","acc_80 = accuracy_table(all_datasets_df, 80)\n","acc_80"]},{"cell_type":"markdown","metadata":{"id":"CZX8c37MsgFL"},"source":["### Best w.r.t. number of attackers"]},{"cell_type":"code","execution_count":18,"metadata":{"id":"xgIKM1obsmd2"},"outputs":[],"source":["def accuracy_table_attackers(input_df, aggregate_fn):\n"," # Define strategies and attacks\n"," attacks = ['GAUSS', 'LIE', 'OPT', 'AGR-MM']\n"," dataset_names = [\"MNIST\", \"FMNIST\"]\n"," num_malicious = [0, 20, 60, 80]\n","\n"," # Create MultiIndex for the columns\n"," columns = pd.MultiIndex.from_product([dataset_names, num_malicious], names=['Dataset', '# Malicious'])\n","\n"," #######\n"," #columns = pd.MultiIndex.from_product([['MNIST', 'CIFAR-10'], ['GAUSS', 'LIE', 'OPT', 'AGR-MM'], ['LAST', 'BEST']])\n"," #######\n","\n","\n"," # Create an empty DataFrame with the defined columns and strategies\n"," df = pd.DataFrame(index=attacks, columns=columns)\n","\n"," filtered_df = input_df[(input_df['aggregate_fn'] == aggregate_fn) & (input_df['round'] >= 3)]\n"," baseline_df = filtered_df[filtered_df['strategy'] != 'FLANDERS']\n"," flanders_df = filtered_df[filtered_df['strategy'] == 'FLANDERS']\n","\n"," # Populate the DataFrame\n"," for dataset in dataset_names:\n"," for attack in attacks:\n"," for b in num_malicious:\n"," if b == 0:\n"," df.loc[attack, (dataset, b)] = round(flanders_df[(flanders_df['num_malicious']==b) & (flanders_df['attack_fn']=='GAUSS') & (flanders_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n"," else:\n"," df.loc[attack, (dataset, b)] = round(flanders_df[(flanders_df['num_malicious']==b) & (flanders_df['attack_fn']==attack) & (flanders_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n","\n"," return df"]},{"cell_type":"code","execution_count":19,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"executionInfo":{"elapsed":305,"status":"ok","timestamp":1715954054792,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"0n9vhQiQuxk_","outputId":"500dfb31-f525-4289-f337-2c945bf50cd2"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
# Malicious02060800206080
GAUSS0.740.820.880.870.730.730.720.68
LIE0.740.860.880.830.730.70.710.73
OPT0.740.840.860.870.730.730.730.72
AGR-MM0.740.820.780.850.730.710.690.7
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","# Malicious 0 20 60 80 0 20 60 80\n","GAUSS 0.74 0.82 0.88 0.87 0.73 0.73 0.72 0.68\n","LIE 0.74 0.86 0.88 0.83 0.73 0.7 0.71 0.73\n","OPT 0.74 0.84 0.86 0.87 0.73 0.73 0.73 0.72\n","AGR-MM 0.74 0.82 0.78 0.85 0.73 0.71 0.69 0.7"]},"execution_count":19,"metadata":{},"output_type":"execute_result"}],"source":["# Table 20\n","acc_att = accuracy_table_attackers(all_datasets_df, 'MultiKrum')\n","acc_att"]},{"cell_type":"markdown","metadata":{"id":"g6yDorrubUw1"},"source":["## Precision and Recall"]},{"cell_type":"code","execution_count":20,"metadata":{"id":"y0PlDlG0bKek"},"outputs":[],"source":["def pr_table(input_df, b):\n"," strategies = ['FLANDERS']\n"," attacks = ['GAUSS', 'LIE', 'OPT', 'AGR-MM']\n"," dataset_names = [\"MNIST\", \"FMNIST\"]\n","\n"," # Create MultiIndex for the columns\n"," columns = pd.MultiIndex.from_product([strategies, attacks, ['P', 'R']], names=['Strategy', 'Attack', 'P/R'])\n","\n"," # Create an empty DataFrame with the defined columns and strategies\n"," df = pd.DataFrame(index=dataset_names, columns=columns)\n","\n"," filtered_df = input_df[(input_df['num_malicious'] == b) & (input_df['round'] == 50) & (input_df['aggregate_fn']=='FedAvg')]\n"," flanders_df = filtered_df[filtered_df['strategy'] == 'FLANDERS']\n"," strat_dfs = [flanders_df]\n","\n"," # Populate the DataFrame\n"," for dataset in dataset_names:\n"," for attack in attacks:\n"," for idx, strategy in enumerate(strategies):\n"," tp = strat_dfs[idx][(strat_dfs[idx]['attack_fn']==attack) & (strat_dfs[idx]['dataset_name']==dataset)]['TP'].iloc[0]\n"," fp = strat_dfs[idx][(strat_dfs[idx]['attack_fn']==attack) & (strat_dfs[idx]['dataset_name']==dataset)]['FP'].iloc[0]\n"," fn = strat_dfs[idx][(strat_dfs[idx]['attack_fn']==attack) & (strat_dfs[idx]['dataset_name']==dataset)]['FN'].iloc[0]\n"," df.loc[dataset, (strategy, attack, 'P')] = round(tp / (tp+fp), 2)\n"," df.loc[dataset, (strategy, attack, 'R')] = round(tp / (tp+fn), 2)\n","\n"," return df"]},{"cell_type":"code","execution_count":21,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":257},"executionInfo":{"elapsed":248,"status":"ok","timestamp":1716367268457,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"rpQyziNRh3dn","outputId":"26e2c0f9-144d-4cad-d13f-1e2351aa2081"},"outputs":[{"data":{"text/html":["
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StrategyFLANDERS
AttackGAUSSLIEOPTAGR-MM
P/RPRPRPRPR
MNIST1.01.01.01.00.150.151.01.0
FMNIST1.01.01.01.00.160.161.01.0
\n","
"],"text/plain":["Strategy FLANDERS \n","Attack GAUSS LIE OPT AGR-MM \n","P/R P R P R P R P R\n","MNIST 1.0 1.0 1.0 1.0 0.15 0.15 1.0 1.0\n","FMNIST 1.0 1.0 1.0 1.0 0.16 0.16 1.0 1.0"]},"execution_count":21,"metadata":{},"output_type":"execute_result"}],"source":["# Table 1\n","pr_20 = pr_table(all_datasets_df, 20)\n","pr_20"]},{"cell_type":"code","execution_count":22,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":257},"executionInfo":{"elapsed":327,"status":"ok","timestamp":1716367273542,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"ccW0Ups3iMvZ","outputId":"ba945e17-1bbe-414f-9aa0-b03fb0fe107f"},"outputs":[{"data":{"text/html":["
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StrategyFLANDERS
AttackGAUSSLIEOPTAGR-MM
P/RPRPRPRPR
MNIST1.01.01.01.01.01.01.01.0
FMNIST1.01.01.01.01.01.01.01.0
\n","
"],"text/plain":["Strategy FLANDERS \n","Attack GAUSS LIE OPT AGR-MM \n","P/R P R P R P R P R\n","MNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0\n","FMNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0"]},"execution_count":22,"metadata":{},"output_type":"execute_result"}],"source":["# Table 2\n","pr_60 = pr_table(all_datasets_df, 60)\n","pr_60"]},{"cell_type":"code","execution_count":23,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":257},"executionInfo":{"elapsed":308,"status":"ok","timestamp":1716376750779,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"05a0Gv5piS2v","outputId":"0cf6555a-4cc8-4aa5-f9b6-c8286afa130a"},"outputs":[{"data":{"text/html":["
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StrategyFLANDERS
AttackGAUSSLIEOPTAGR-MM
P/RPRPRPRPR
MNIST1.01.01.01.01.01.01.01.0
FMNIST1.01.01.01.01.01.01.01.0
\n","
"],"text/plain":["Strategy FLANDERS \n","Attack GAUSS LIE OPT AGR-MM \n","P/R P R P R P R P R\n","MNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0\n","FMNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0"]},"execution_count":23,"metadata":{},"output_type":"execute_result"}],"source":["# Table 3\n","pr_80 = pr_table(all_datasets_df, 80)\n","pr_80"]},{"cell_type":"markdown","metadata":{"id":"bN7dTn2u0r6K"},"source":["# Plots"]},{"cell_type":"markdown","metadata":{"id":"xZ0wiadBsVUh"},"source":["## Accuracy over rounds"]},{"cell_type":"code","execution_count":24,"metadata":{"id":"LQ_uYJCtjdJS"},"outputs":[],"source":["df_mnist_acc_flanders = all_datasets_df[(all_datasets_df['strategy']=='FLANDERS') & (all_datasets_df['num_malicious']==80) & (all_datasets_df['dataset_name']=='MNIST') & (all_datasets_df['aggregate_fn']=='MultiKrum')]\n","df_mnist_acc_fedavg = all_datasets_df[(all_datasets_df['strategy']=='FedAvg') & (all_datasets_df['num_malicious']==80) & (all_datasets_df['dataset_name']=='MNIST')]\n","df_no_attack = all_datasets_df[(all_datasets_df['strategy']=='FedAvg') & (all_datasets_df['num_malicious']==0) & (all_datasets_df['dataset_name']=='MNIST')]"]},{"cell_type":"code","execution_count":25,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":408},"executionInfo":{"elapsed":651,"status":"ok","timestamp":1714668544212,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"NDkD_Qnd1iT7","outputId":"928cfa90-04a2-4624-9825-adb0d124aaf8"},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["# Figure 3\n","num_plots = 2\n","plt.style.use('default')\n","fig, axs = plt.subplots(1, num_plots, figsize=(11, 4))\n","\n","data = [df_mnist_acc_flanders, df_mnist_acc_fedavg]\n","\n","for i in range(num_plots):\n"," if i == 0:\n"," acc = df_no_attack[df_no_attack[\"attack_fn\"]=='GAUSS']['accuracy'].to_list()\n"," axs[i].plot(acc, label=\"No Attack\", linestyle='--', color='slategray')\n"," for attack in ['GAUSS', 'LIE', 'OPT', 'AGR-MM']:\n"," acc = data[i][data[i]['attack_fn']==attack]['accuracy'].to_list()\n"," x = [i for i in range(len(data))]\n"," axs[i].plot(acc, label=attack)\n"," axs[i].set_ylim((0,1.0))\n"," axs[i].set_xlabel('Round', fontsize=16)\n"," axs[i].set_ylabel('Accuracy', fontsize=16)\n"," axs[i].legend(prop={'size': 12})\n"," axs[i].tick_params(axis='both', which='major', labelsize=16)\n"," axs[i].tick_params(axis='both', which='minor', labelsize=16)\n","\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":[]}],"metadata":{"colab":{"authorship_tag":"ABX9TyODCHCYl18UhHkKwq6LlRvG","collapsed_sections":["P_3Z05w0wvNB","dE_uqUeuyl6M","9vVX6wsxT-rc","RctMDJMZyPq2","R9VNz7Cv9RHn","6V4padUiYeac","pZ863s6JJbph","EJDtdXqLJX0H"],"provenance":[]},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.9.18"}},"nbformat":4,"nbformat_minor":0} +{"cells":[{"cell_type":"markdown","metadata":{"id":"Cg37xeuu7Xy5"},"source":["# Preliminaries"]},{"cell_type":"code","execution_count":1,"metadata":{"id":"J_Dh3sGVyb2w"},"outputs":[],"source":["import pandas as pd\n","from natsort import natsorted\n","import matplotlib.pyplot as plt"]},{"cell_type":"code","execution_count":2,"metadata":{"id":"FjlCyr_B8OdT"},"outputs":[],"source":["results_dir = \"../outputs/\""]},{"cell_type":"markdown","metadata":{"id":"VX2oCpZf7Z7y"},"source":["# Prepare data"]},{"cell_type":"markdown","metadata":{"id":"P_3Z05w0wvNB"},"source":["## Utils"]},{"cell_type":"code","execution_count":22,"metadata":{},"outputs":[],"source":["def divide_results_by_dataset(results_dir, file=\"all_results.csv\"):\n"," \"\"\"Divide csv results into multiple files distinguished by dataset and if strategy is FLANDERS or not (e.g., all_results_mnist_flanders and all_results_mnist_no_flanders).\"\"\"\n"," results = pd.read_csv(results_dir + file, float_precision='round_trip')\n"," datasets = natsorted(results[\"dataset_name\"].unique())\n"," for dataset in datasets:\n"," flanders = results[(results[\"dataset_name\"] == dataset) & (results[\"strategy\"] == \"flanders\")]\n"," no_flanders = results[(results[\"dataset_name\"] == dataset) & (results[\"strategy\"] != \"flanders\")]\n"," flanders.to_csv(results_dir + \"all_results_\" + dataset + \"_flanders.csv\", index=False)\n"," no_flanders.to_csv(results_dir + \"all_results_\" + dataset + \"_no_flanders.csv\", index=False)\n"," "]},{"cell_type":"code","execution_count":4,"metadata":{"id":"fZSDCuT497HV"},"outputs":[],"source":["def print_unique_data(results_df):\n"," for col in [\"attack_fn\", \"num_malicious\", \"dataset_name\", \"strategy\", \"aggregate_fn\"]:\n"," print(f\"Unique values in {col}: {results_df[col].unique()}\")"]},{"cell_type":"code","execution_count":5,"metadata":{"id":"8GcIZNuu8q5Y"},"outputs":[],"source":["def translate_cols(df, attack_dict, dataset_dict, strategy_dict, aggregate_dict):\n"," column_names = [\"attack_fn\", \"dataset_name\", \"strategy\", \"aggregate_fn\"]\n"," for idx, d in enumerate([attack_dict, dataset_dict, strategy_dict, aggregate_dict]):\n"," df[column_names[idx]] = df[column_names[idx]].replace(d)\n"," return df"]},{"cell_type":"code","execution_count":6,"metadata":{"id":"oHcF2pl8sdOG"},"outputs":[],"source":["attack_dict = {\n"," \"gaussian\": \"GAUSS\",\n"," \"lie\": \"LIE\",\n"," \"fang\": \"OPT\",\n"," \"minmax\": \"AGR-MM\",\n"," \"adaptive\": \"MAR-ATK\"\n","}\n","\n","dataset_dict = {\n"," \"mnist\": \"MNIST\",\n"," \"fmnist\": \"FMNIST\",\n"," \"cifar\": \"CIFAR-10\",\n"," \"cifar100\": \"CIFAR-100\"\n","}\n","\n","strategy_dict = {\n"," \"flanders\": \"FLANDERS\",\n"," \"fedavg\": \"FedAvg\",\n"," \"fedmedian\": \"FedMedian\",\n"," \"trimmedmean\": \"TrimmedMean\",\n"," \"bulyan\": \"Bulyan\",\n"," \"krum\": \"MultiKrum\",\n"," \"fldetector\": \"FLDetector\"\n","}\n","\n","aggregate_dict = {\n"," \"flwr.server.strategy.aggregate.aggregate\": \"FedAvg\",\n"," \"flwr.server.strategy.aggregate.aggregate_median\": \"FedMedian\",\n"," \"flwr.server.strategy.aggregate.aggregate_trimmed_avg\": \"TrimmedMean\",\n"," \"flwr.server.strategy.aggregate.aggregate_bulyan\": \"Bulyan\",\n"," \"flwr.server.strategy.aggregate.aggregate_krum\": \"MultiKrum\"\n","}"]},{"cell_type":"code","execution_count":19,"metadata":{},"outputs":[],"source":["divide_results_by_dataset(results_dir)"]},{"cell_type":"code","execution_count":21,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["9c9\n","< 7,470.618819475174,0.6119,0.7851549625155109,0,500,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 7,470.61881947517395,0.6119,0.7851549625155109,0,500,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","11c11\n","< 9,438.1458781957626,0.6336,0.7974040672284071,0,700,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 9,438.14587819576263,0.6336,0.7974040672284071,0,700,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","20c20\n","< 18,351.819709956646,0.6916,0.8299584002973285,0,1600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 18,351.81970995664597,0.6916,0.8299584002973285,0,1600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","30c30\n","< 28,295.372104883194,0.7451,0.8597614104143163,0,2600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 28,295.37210488319397,0.7451,0.8597614104143163,0,2600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","33c33\n","< 31,282.0081115663052,0.7605,0.8683040410787412,0,2900,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 31,282.00811156630516,0.7605,0.8683040410787412,0,2900,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","42c42\n","< 40,247.3932259380817,0.8028,0.8916473160186131,0,3800,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 40,247.39322593808174,0.8028,0.8916473160186131,0,3800,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","46c46\n","< 44,232.9519554674625,0.8203,0.9013125211252658,0,4200,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 44,232.95195546746254,0.8203,0.9013125211252658,0,4200,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","48,51c48,51\n","< 46,226.5291863679886,0.827,0.9049377425937156,0,4400,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","< 47,223.43858739733696,0.8304,0.90680435408351,0,4500,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","< 48,220.2536328136921,0.834,0.9087587384759728,0,4600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","< 49,217.4168188869953,0.8379,0.9108826257077433,0,4700,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 46,226.5291863679886,0.827,0.9049377425937157,0,4400,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","> 47,223.43858739733696,0.8304,0.9068043540835099,0,4500,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","> 48,220.2536328136921,0.834,0.9087587384759729,0,4600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","> 49,217.41681888699532,0.8379,0.9108826257077431,0,4700,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","60c60\n","< 7,459.6746319532394,0.7063,0.8358180505777956,100,400,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 7,459.67463195323944,0.7063,0.8358180505777956,100,400,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","67c67\n","< 14,372.4536452889442,0.7392,0.8554349949356566,240,960,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 14,372.45364528894424,0.7392,0.8554349949356566,240,960,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","71c71\n","< 18,341.7068759799004,0.7562,0.8652290456695158,320,1280,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 18,341.70687597990036,0.7562,0.8652290456695158,320,1280,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","84,86c84,86\n","< 31,268.9076217710972,0.8218,0.9021137377580092,580,2320,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 32,264.41304913163185,0.8247,0.9037025208295364,600,2400,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 33,260.25946870446205,0.8273,0.9050716065100776,620,2480,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 31,268.9076217710972,0.8218,0.9021137377580093,580,2320,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 32,264.41304913163185,0.8247,0.9037025208295363,600,2400,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 33,260.25946870446205,0.8273,0.9050716065100775,620,2480,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","89,91c89,91\n","< 36,248.1850986778736,0.8364,0.9100293634019508,680,2720,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 37,243.74191710352895,0.841,0.9124743469362544,700,2800,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 38,240.4672427177429,0.8425,0.9133202591976464,720,2880,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 36,248.1850986778736,0.8364,0.9100293634019507,680,2720,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 37,243.74191710352898,0.841,0.9124743469362544,700,2800,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 38,240.46724271774292,0.8425,0.9133202591976465,720,2880,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","94c94\n","< 41,229.09381547570229,0.8519,0.9183459182966128,780,3120,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 41,229.09381547570229,0.8519,0.9183459182966127,780,3120,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","96c96\n","< 43,221.81280422210693,0.856,0.9205770890263376,820,3280,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 43,221.81280422210693,0.856,0.9205770890263375,820,3280,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","98,99c98,99\n","< 45,215.11569464206696,0.8629,0.9243295820479888,860,3440,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 46,212.25303676724437,0.8636,0.9247639005352511,880,3520,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 45,215.11569464206696,0.8629,0.9243295820479887,860,3440,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 46,212.25303676724434,0.8636,0.9247639005352513,880,3520,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","103c103\n","< 50,199.0460639595985,0.8764,0.9316819304271124,960,3840,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 50,199.04606395959854,0.8764,0.9316819304271124,960,3840,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","110c110\n","< 6,506.7274416685104,0.6092,0.7822497445490901,80,320,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 6,506.72744166851044,0.6092,0.7822497445490901,80,320,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","117c117\n","< 13,406.6930024027824,0.6852,0.8247792410072817,220,880,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 13,406.69300240278244,0.6852,0.8247792410072817,220,880,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","121c121\n","< 17,370.1426814794541,0.7272,0.8482779030606146,300,1200,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 17,370.14268147945404,0.7272,0.8482779030606146,300,1200,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","123c123\n","< 19,355.077222943306,0.7421,0.8564828452393236,340,1360,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 19,355.07722294330597,0.7421,0.8564828452393236,340,1360,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","127c127\n","< 23,329.2536780238152,0.7697,0.8719024739612061,420,1680,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 23,329.25367802381516,0.7697,0.8719024739612061,420,1680,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","132c132\n","< 28,302.8999291658401,0.7927,0.8851015149599044,520,2080,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 28,302.89992916584015,0.7927,0.8851015149599044,520,2080,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","137,139c137,139\n","< 33,277.8870767951012,0.8162,0.898206644210546,620,2480,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 34,273.3967899978161,0.8212,0.9009713545328052,640,2560,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 35,268.1254373192787,0.8275,0.90444157945379,660,2640,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 33,277.88707679510117,0.8162,0.898206644210546,620,2480,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 34,273.3967899978161,0.8212,0.9009713545328051,640,2560,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 35,268.1254373192787,0.8275,0.9044415794537899,660,2640,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","141,144c141,144\n","< 37,260.07765036821365,0.8312,0.9065756204621356,700,2800,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 38,256.64048090577126,0.8327,0.9074982426295356,720,2880,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 39,252.0430652499199,0.8362,0.9093006365458,740,2960,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 40,247.01640391349792,0.843,0.9130244517969648,760,3040,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 37,260.07765036821365,0.8312,0.9065756204621357,700,2800,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 38,256.64048090577126,0.8327,0.9074982426295357,720,2880,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 39,252.0430652499199,0.8362,0.9093006365458001,740,2960,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 40,247.01640391349792,0.843,0.9130244517969649,760,3040,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","150,152c150,152\n","< 46,223.8459115624428,0.8646,0.9250685217271056,880,3520,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 47,220.5133616030216,0.8656,0.9256249802306604,900,3600,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 48,217.04624798893929,0.8683,0.9271179684619116,920,3680,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 46,223.84591156244278,0.8646,0.9250685217271055,880,3520,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 47,220.51336160302162,0.8656,0.9256249802306605,900,3600,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 48,217.04624798893929,0.8683,0.9271179684619117,920,3680,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","154c154\n","< 50,210.60713160037997,0.8717,0.9289659803859232,960,3840,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 50,210.60713160037994,0.8717,0.9289659803859232,960,3840,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","218c218\n","< 12,410.75720089674,0.6981,0.8329533876899431,200,800,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 12,410.75720089673996,0.6981,0.8329533876899431,200,800,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","226c226\n","< 20,344.3701158165932,0.7555,0.8649904031381006,360,1440,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 20,344.37011581659317,0.7555,0.8649904031381006,360,1440,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","236c236\n","< 30,290.5026210546493,0.8054,0.8923430343787885,560,2240,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 30,290.50262105464935,0.8054,0.8923430343787885,560,2240,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","239c239\n","< 33,275.596452832222,0.8219,0.9013263199473652,620,2480,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 33,275.596452832222,0.8219,0.9013263199473653,620,2480,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","241c241\n","< 35,265.8011617362499,0.835,0.9085008251699632,660,2640,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 35,265.8011617362499,0.835,0.9085008251699633,660,2640,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","243,245c243,245\n","< 37,257.5963149666786,0.8416,0.9122266064451,700,2800,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 38,253.68113148212436,0.8432,0.9131293268167762,720,2880,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 39,248.67839524149892,0.8506,0.917020697681266,740,2960,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 37,257.5963149666786,0.8416,0.9122266064450999,700,2800,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 38,253.68113148212433,0.8432,0.9131293268167762,720,2880,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 39,248.67839524149895,0.8506,0.9170206976812659,740,2960,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","247c247\n","< 41,239.3296804130077,0.8608,0.9225597894521088,780,3120,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 41,239.32968041300774,0.8608,0.9225597894521089,780,3120,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","250,256c250,256\n","< 44,227.78731855750084,0.8676,0.92636041356526,840,3360,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 45,224.48168808221817,0.8697,0.927488091864856,860,3440,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 46,221.12059971690175,0.8721,0.9288073069064048,880,3520,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 47,217.8803750872612,0.8739,0.9298091097635376,900,3600,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 48,214.48009517788887,0.8761,0.931001980462094,920,3680,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 49,210.7987434566021,0.8788,0.9325027642922884,940,3760,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 50,208.04733884334564,0.88,0.9330947617046056,960,3840,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 44,227.78731855750084,0.8676,0.9263604135652601,840,3360,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 45,224.48168808221817,0.8697,0.9274880918648561,860,3440,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 46,221.12059971690178,0.8721,0.9288073069064049,880,3520,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 47,217.8803750872612,0.8739,0.9298091097635377,900,3600,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 48,214.48009517788887,0.8761,0.9310019804620941,920,3680,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 49,210.7987434566021,0.8788,0.9325027642922883,940,3760,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 50,208.04733884334564,0.88,0.9330947617046057,960,3840,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","275c275\n","< 18,366.9582477807999,0.6459,0.8055512591619935,960,640,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 18,366.95824778079987,0.6459,0.8055512591619935,960,640,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","281c281\n","< 24,337.3828353285789,0.6613,0.8142524476929813,1320,880,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 24,337.38283532857895,0.6613,0.8142524476929813,1320,880,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","295c295\n","< 38,280.85945135355,0.7162,0.8443641311198572,2160,1440,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 38,280.85945135354996,0.7162,0.8443641311198572,2160,1440,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","303c303\n","< 46,253.90509095788,0.7438,0.859706237263465,2640,1760,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 46,253.90509095788002,0.7438,0.859706237263465,2640,1760,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","306c306\n","< 49,243.1568866670132,0.7553,0.8658670231170286,2820,1880,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 49,243.15688666701317,0.7553,0.8658670231170286,2820,1880,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","308c308\n","< 0,721.4264976978302,0.0893,0.4943158866056198,0,0,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 0,721.4264976978302,0.0893,0.49431588660561987,0,0,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","324c324\n","< 16,368.9598971009255,0.7309,0.852456867375094,840,560,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 16,368.95989710092545,0.7309,0.852456867375094,840,560,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","334c334\n","< 26,302.2602205872536,0.7916,0.886514166119535,1440,960,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 26,302.26022058725357,0.7916,0.886514166119535,1440,960,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","344,347c344,347\n","< 36,252.5341165959835,0.8361,0.9102312484840028,2040,1360,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 37,247.08538591861725,0.8411,0.9129055114732372,2100,1400,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 38,244.1704399287701,0.8428,0.9140628964422276,2160,1440,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 39,238.5041057169437,0.854,0.9198976658678149,2220,1480,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 36,252.5341165959835,0.8361,0.9102312484840029,2040,1360,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 37,247.08538591861725,0.8411,0.9129055114732371,2100,1400,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 38,244.17043992877007,0.8428,0.9140628964422275,2160,1440,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 39,238.50410571694374,0.854,0.9198976658678149,2220,1480,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","349,351c349,351\n","< 41,231.93516901135445,0.8553,0.9205827258503224,2340,1560,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 42,226.27924805879596,0.8648,0.925561699909182,2400,1600,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 43,221.6407981812954,0.8655,0.9259556082492816,2460,1640,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 41,231.93516901135445,0.8553,0.9205827258503225,2340,1560,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 42,226.27924805879593,0.8648,0.925561699909182,2400,1600,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 43,221.6407981812954,0.8655,0.9259556082492815,2460,1640,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","353,355c353,355\n","< 45,214.96815305948255,0.8712,0.92920886407349,2580,1720,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 46,211.32768896222117,0.8739,0.9305490210580508,2640,1760,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 47,209.87007614970207,0.8699,0.9284595544228192,2700,1800,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 45,214.96815305948257,0.8712,0.9292088640734899,2580,1720,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 46,211.32768896222115,0.8739,0.9305490210580507,2640,1760,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 47,209.87007614970207,0.8699,0.9284595544228191,2700,1800,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","358c358\n","< 50,200.3841543197632,0.876,0.9317481057906888,2880,1920,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 50,200.38415431976318,0.876,0.9317481057906887,2880,1920,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","365c365\n","< 6,489.6116780042648,0.6672,0.8140040663158741,240,160,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 6,489.61167800426483,0.6672,0.8140040663158741,240,160,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","395,396c395,396\n","< 36,254.54911589622495,0.8255,0.9024304353216278,2040,1360,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 37,250.14102149009705,0.8277,0.9037202648277668,2100,1400,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 36,254.54911589622498,0.8255,0.9024304353216278,2040,1360,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 37,250.14102149009705,0.8277,0.9037202648277667,2100,1400,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","398,399c398,399\n","< 39,243.09845873713493,0.8338,0.9072032910747292,2220,1480,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 40,239.6989917457104,0.8372,0.908857918310239,2280,1520,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 39,243.09845873713493,0.8338,0.9072032910747293,2220,1480,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 40,239.69899174571037,0.8372,0.908857918310239,2280,1520,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","401c401\n","< 42,231.9406836628914,0.8444,0.9128454114141452,2400,1600,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 42,231.9406836628914,0.8444,0.9128454114141453,2400,1600,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","403c403\n","< 44,225.5253274440765,0.8432,0.9124431516628044,2520,1680,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 44,225.52532744407654,0.8432,0.9124431516628043,2520,1680,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","406c406\n","< 47,217.7801477611065,0.8463,0.9140146609414788,2700,1800,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 47,217.7801477611065,0.8463,0.9140146609414789,2700,1800,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","417,420c417,420\n","< 7,473.3682833909989,0.6959,0.8297956566166034,300,200,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 8,456.2157111167908,0.6994,0.8320950885313364,360,240,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 9,439.6423541307449,0.7088,0.8374453154106207,420,280,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 10,425.1657605171204,0.7201,0.8440901430694121,480,320,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 7,473.36828339099884,0.6959,0.8297956566166034,300,200,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 8,456.21571111679077,0.6994,0.8320950885313364,360,240,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 9,439.64235413074493,0.7088,0.8374453154106207,420,280,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 10,425.16576051712036,0.7201,0.8440901430694121,480,320,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","423c423\n","< 13,391.5069093704224,0.7376,0.8542803425980076,660,440,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 13,391.50690937042236,0.7376,0.8542803425980076,660,440,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","445,450c445,450\n","< 35,269.64441254735,0.8207,0.9007029971500886,1980,1320,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 36,266.39044561982155,0.8218,0.9012995365067996,2040,1360,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 37,261.5058639347553,0.8277,0.9045335593354628,2100,1400,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 38,259.39445120096207,0.8298,0.9058920241393345,2160,1440,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 39,254.27309584617612,0.837,0.9098399118744992,2220,1480,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 40,251.20267117023468,0.8401,0.9114801523275656,2280,1520,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 35,269.64441254734993,0.8207,0.9007029971500886,1980,1320,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 36,266.39044561982155,0.8218,0.9012995365067995,2040,1360,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 37,261.5058639347553,0.8277,0.9045335593354629,2100,1400,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 38,259.39445120096207,0.8298,0.9058920241393343,2160,1440,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 39,254.27309584617615,0.837,0.9098399118744993,2220,1480,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 40,251.20267117023468,0.8401,0.9114801523275655,2280,1520,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","453,454c453,454\n","< 43,239.72084683179853,0.8478,0.9158973306972976,2460,1640,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 44,237.25567835569385,0.8457,0.9148582230717648,2520,1680,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 43,239.72084683179855,0.8478,0.9158973306972976,2460,1640,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 44,237.25567835569382,0.8457,0.9148582230717649,2520,1680,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","456c456\n","< 46,231.5334632694721,0.8498,0.9170962925650532,2640,1760,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 46,231.53346326947212,0.8498,0.9170962925650533,2640,1760,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","458,459c458,459\n","< 48,227.1128815412521,0.8513,0.9180341394341464,2760,1840,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 49,223.55984634160995,0.8523,0.9186586094169772,2820,1880,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 48,227.11288154125214,0.8513,0.9180341394341465,2760,1840,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 49,223.55984634160995,0.8523,0.9186586094169773,2820,1880,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","468c468\n","< 7,469.8192681074143,0.6817,0.8234257254222921,400,100,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 7,469.81926810741425,0.6817,0.8234257254222921,400,100,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","480c480\n","< 19,348.5099013447761,0.7326,0.8533377304334164,1360,340,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 19,348.50990134477615,0.7326,0.8533377304334164,1360,340,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","486c486\n","< 25,315.5765408277512,0.7558,0.8655147589123333,1840,460,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 25,315.57654082775116,0.7558,0.8655147589123333,1840,460,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","501,509c501,509\n","< 40,247.4144510924816,0.827,0.9049131776040332,3040,760,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 41,242.27478370070455,0.8352,0.9093856536667904,3120,780,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 42,241.11444184184077,0.8339,0.9088012627257992,3200,800,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 43,236.48861888051036,0.8396,0.9119669132130256,3280,820,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 44,234.78459832072255,0.8372,0.9108712423151288,3360,840,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 45,228.82145246863365,0.8462,0.9156075098171972,3440,860,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 46,226.6566316783428,0.8467,0.915514097213667,3520,880,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 47,224.12927359342572,0.8457,0.9150532242988972,3600,900,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 48,222.4000843465328,0.8447,0.914675377294626,3680,920,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 40,247.4144510924816,0.827,0.9049131776040331,3040,760,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 41,242.27478370070457,0.8352,0.9093856536667904,3120,780,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 42,241.11444184184074,0.8339,0.9088012627257992,3200,800,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 43,236.48861888051033,0.8396,0.9119669132130257,3280,820,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 44,234.78459832072258,0.8372,0.9108712423151288,3360,840,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 45,228.82145246863365,0.8462,0.9156075098171973,3440,860,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 46,226.65663167834282,0.8467,0.915514097213667,3520,880,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 47,224.12927359342575,0.8457,0.9150532242988973,3600,900,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 48,222.40008434653282,0.8447,0.9146753772946259,3680,920,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","511c511\n","< 50,218.32767590880397,0.843,0.9136043462539224,3840,960,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 50,218.32767590880394,0.843,0.9136043462539225,3840,960,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","533c533\n","< 21,322.5844233632088,0.7952,0.888873508576719,1520,380,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 21,322.58442336320877,0.7952,0.888873508576719,1520,380,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","540,542c540,542\n","< 28,288.6343223154545,0.818,0.9009183178575756,2080,520,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 29,284.4864563941956,0.8252,0.9053383398772038,2160,540,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 30,278.6972675025463,0.8297,0.9073820377739948,2240,560,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 28,288.6343223154545,0.818,0.9009183178575757,2080,520,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 29,284.48645639419556,0.8252,0.9053383398772038,2160,540,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 30,278.6972675025463,0.8297,0.9073820377739947,2240,560,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","544,546c544,546\n","< 32,276.22960472106934,0.8181,0.9012570426225356,2400,600,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 33,270.6527534723282,0.8249,0.9047708565333789,2480,620,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 34,267.177842438221,0.8289,0.9070568141871296,2560,640,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 32,276.22960472106934,0.8181,0.9012570426225357,2400,600,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 33,270.6527534723282,0.8249,0.9047708565333787,2480,620,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 34,267.177842438221,0.8289,0.9070568141871295,2560,640,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","549,550c549,550\n","< 37,254.63290056586263,0.8425,0.9142047605415986,2800,700,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 38,253.5898394584656,0.8422,0.9140980524117368,2880,720,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 37,254.63290056586266,0.8425,0.9142047605415986,2800,700,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 38,253.58983945846558,0.8422,0.9140980524117367,2880,720,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","553c553\n","< 41,241.15152052044868,0.8468,0.9165301325051384,3120,780,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 41,241.15152052044868,0.8468,0.9165301325051383,3120,780,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","556c556\n","< 44,232.6304311156273,0.8451,0.9156355902324076,3360,840,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 44,232.6304311156273,0.8451,0.9156355902324075,3360,840,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","559c559\n","< 47,222.9888748526573,0.852,0.9192984399272937,3600,900,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 47,222.98887485265732,0.852,0.9192984399272935,3600,900,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","562,563c562,563\n","< 50,215.5727717578411,0.8561,0.9212575314279704,3840,960,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 0,724.7524998188019,0.105,0.4999426842625741,0,0,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 50,215.5727717578411,0.8561,0.9212575314279705,3840,960,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 0,724.7524998188019,0.105,0.49994268426257416,0,0,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","572c572\n","< 9,437.7606093883514,0.7376,0.8529039912202159,560,140,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 9,437.76060938835144,0.7376,0.8529039912202159,560,140,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","576c576\n","< 13,386.1349909305573,0.788,0.8818196051502589,880,220,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 13,386.13499093055725,0.788,0.8818196051502589,880,220,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","579c579\n","< 16,361.480971634388,0.7963,0.8866553512817633,1120,280,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 16,361.48097163438797,0.7963,0.8866553512817633,1120,280,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","583,585c583,585\n","< 20,330.95943880081177,0.8227,0.9014420164082428,1440,360,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 21,325.4755145311356,0.8182,0.8988416718986793,1520,380,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 22,319.333223938942,0.821,0.9004240765571806,1600,400,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 20,330.95943880081177,0.8227,0.9014420164082427,1440,360,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 21,325.47551453113556,0.8182,0.8988416718986793,1520,380,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 22,319.33322393894196,0.821,0.9004240765571806,1600,400,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","591,593c591,593\n","< 28,287.4964659512043,0.8402,0.9109619775489528,2080,520,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 29,282.83433762192726,0.8479,0.9157000331998923,2160,540,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 30,276.6261873245239,0.8511,0.9173464281472096,2240,560,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 28,287.4964659512043,0.8402,0.9109619775489529,2080,520,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 29,282.83433762192726,0.8479,0.9157000331998925,2160,540,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 30,276.6261873245239,0.8511,0.9173464281472095,2240,560,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","596c596\n","< 33,266.0403924286365,0.8507,0.9171408977579738,2480,620,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 33,266.04039242863655,0.8507,0.9171408977579738,2480,620,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","600,601c600,601\n","< 37,248.936192125082,0.8679,0.9267735864594376,2800,700,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 38,247.12084594368932,0.8695,0.9276033549437124,2880,720,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 37,248.93619212508202,0.8679,0.9267735864594375,2800,700,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 38,247.12084594368935,0.8695,0.9276033549437124,2880,720,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","603,604c603,604\n","< 40,237.16044920682907,0.8744,0.9301592943963636,3040,760,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 41,235.71548515558243,0.8695,0.9275878220555056,3120,780,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 40,237.16044920682907,0.8744,0.9301592943963637,3040,760,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 41,235.71548515558243,0.8695,0.9275878220555057,3120,780,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","607c607\n","< 44,224.0139511227608,0.8722,0.9290850990616024,3360,840,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 44,224.01395112276077,0.8722,0.9290850990616025,3360,840,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","609,611c609,611\n","< 46,216.0451682507992,0.8776,0.932157907218718,3520,880,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 47,214.59382912516597,0.8769,0.9317759774105676,3600,900,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 48,211.69527357816696,0.8812,0.9340891244009476,3680,920,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 46,216.04516825079918,0.8776,0.932157907218718,3520,880,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 47,214.59382912516594,0.8769,0.9317759774105676,3600,900,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 48,211.69527357816696,0.8812,0.9340891244009477,3680,920,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","613c613\n","< 50,206.90914857387543,0.8835,0.9352776645590876,3840,960,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 50,206.90914857387543,0.8835,0.9352776645590877,3840,960,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","621c621\n","< 7,468.7954839468002,0.7184,0.8410352899087803,400,100,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 7,468.79548394680023,0.7184,0.8410352899087803,400,100,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","628c628\n","< 14,373.507826924324,0.7651,0.8687048687983626,960,240,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 14,373.50782692432404,0.7651,0.8687048687983626,960,240,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","647c647\n","< 33,268.5225474238396,0.8069,0.8929247829301967,2480,620,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 33,268.52254742383957,0.8069,0.8929247829301967,2480,620,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","652,653c652,653\n","< 38,246.6452942788601,0.8377,0.909909232365058,2880,720,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 39,242.09620651602745,0.8396,0.9109787346121944,2960,740,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 38,246.6452942788601,0.8377,0.9099092323650579,2880,720,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 39,242.09620651602745,0.8396,0.9109787346121945,2960,740,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","656,660c656,660\n","< 42,235.23863783478737,0.8363,0.9090921883679332,3200,800,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 43,229.1138169467449,0.845,0.9140975948801386,3280,820,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 44,228.54115742444992,0.8374,0.9099550909989236,3360,840,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 45,227.19092282652852,0.8382,0.9105400341405552,3440,860,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 46,222.949145257473,0.8407,0.9119408074364352,3520,880,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 42,235.23863783478737,0.8363,0.9090921883679333,3200,800,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 43,229.11381694674492,0.845,0.9140975948801386,3280,820,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 44,228.54115742444992,0.8374,0.9099550909989235,3360,840,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 45,227.19092282652855,0.8382,0.9105400341405551,3440,860,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 46,222.949145257473,0.8407,0.9119408074364351,3520,880,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","663c663\n","< 49,215.6341263055801,0.847,0.9154162126756,3760,940,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 49,215.63412630558014,0.847,0.9154162126756,3760,940,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","665c665\n","< 0,725.4783990383148,0.0893,0.4930782657367228,0,0,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 0,725.4783990383148,0.0893,0.49307826573672286,0,0,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","670c670\n","< 5,505.7796247005463,0.7123,0.8369035763872124,0,300,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 5,505.77962470054626,0.7123,0.8369035763872124,0,300,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","674,675c674,675\n","< 9,435.0639593005181,0.7315,0.8482250682772972,0,700,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 10,423.1528919935226,0.7325,0.8488536592751664,0,800,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 9,435.06395930051804,0.7315,0.8482250682772972,0,700,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 10,423.15289199352264,0.7325,0.8488536592751664,0,800,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","677c677\n","< 12,403.2225745916367,0.7359,0.8509510920272396,0,1000,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 12,403.22257459163666,0.7359,0.8509510920272396,0,1000,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","679c679\n","< 14,386.9279273152352,0.7381,0.8523423065688844,0,1200,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 14,386.92792731523514,0.7381,0.8523423065688844,0,1200,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","683c683\n","< 18,360.9465532302856,0.7457,0.8568457259567726,0,1600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 18,360.94655323028564,0.7457,0.8568457259567726,0,1600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","688c688\n","< 23,336.3161295652389,0.7548,0.8622049369727487,0,2100,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 23,336.31612956523895,0.7548,0.8622049369727487,0,2100,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","693c693\n","< 28,316.8891353011132,0.7612,0.865856672598141,0,2600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 28,316.88913530111313,0.7612,0.865856672598141,0,2600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","716c716\n","< 0,722.0338740348816,0.0854,0.4885744666470658,0,0,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 0,722.0338740348816,0.0854,0.48857446664706583,0,0,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","727c727\n","< 11,419.9580882787705,0.6729,0.8175913054995847,180,720,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 11,419.95808827877045,0.6729,0.8175913054995847,180,720,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","733,734c733,734\n","< 17,371.9239163398743,0.6971,0.8308526570128718,300,1200,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 18,365.8623090386391,0.6999,0.8323840102008194,320,1280,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 17,371.92391633987427,0.6971,0.8308526570128718,300,1200,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 18,365.86230903863907,0.6999,0.8323840102008194,320,1280,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","737c737\n","< 21,348.6771786808968,0.7134,0.839894014397529,380,1520,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 21,348.67717868089676,0.7134,0.839894014397529,380,1520,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","746c746\n","< 30,307.7419494390488,0.7422,0.855639726193019,560,2240,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 30,307.74194943904877,0.7422,0.855639726193019,560,2240,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","750c750\n","< 34,293.0566073060036,0.754,0.8622021497041545,640,2560,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 34,293.05660730600357,0.754,0.8622021497041545,640,2560,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","754c754\n","< 38,278.8576234877109,0.766,0.8688250401624309,720,2880,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 38,278.85762348771095,0.766,0.8688250401624309,720,2880,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","759c759\n","< 43,262.6292518675328,0.7853,0.8797105401413919,820,3280,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 43,262.62925186753273,0.7853,0.8797105401413919,820,3280,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","761,762c761,762\n","< 45,255.27365842461583,0.7944,0.8848252794783107,860,3440,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 46,252.95709538459775,0.7943,0.884747207522687,880,3520,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 45,255.27365842461586,0.7944,0.8848252794783107,860,3440,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 46,252.95709538459778,0.7943,0.884747207522687,880,3520,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","764,765c764,765\n","< 48,246.76616850495336,0.8015,0.8887266060755306,920,3680,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 49,242.86097180843356,0.8095,0.8932159087334167,940,3760,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 48,246.76616850495338,0.8015,0.8887266060755306,920,3680,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 49,242.86097180843353,0.8095,0.8932159087334167,940,3760,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","774c774\n","< 7,465.4953653812408,0.7244,0.849459803958354,100,400,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 7,465.49536538124084,0.7244,0.849459803958354,100,400,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","779c779\n","< 12,404.8656504154205,0.7431,0.8597745335839532,200,800,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 12,404.86565041542053,0.7431,0.8597745335839532,200,800,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","793c793\n","< 26,318.1644234657288,0.7928,0.8866091306559474,480,1920,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 26,318.16442346572876,0.7928,0.8866091306559474,480,1920,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","806,807c806,807\n","< 39,266.9081275463104,0.829,0.9060458384845608,740,2960,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 40,262.19895127415657,0.8354,0.9095172230138596,760,3040,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 39,266.9081275463104,0.829,0.9060458384845609,740,2960,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 40,262.19895127415657,0.8354,0.9095172230138597,760,3040,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","810,814c810,814\n","< 43,251.1356758773327,0.8443,0.914472811925246,820,3280,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 44,248.87913504242897,0.8431,0.91392253198261,840,3360,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 45,245.3096205294132,0.8457,0.9152953787348508,860,3440,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 46,241.68579378724095,0.8493,0.9172076959592028,880,3520,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 47,238.78697592020035,0.8498,0.9175472849735832,900,3600,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 43,251.1356758773327,0.8443,0.9144728119252459,820,3280,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 44,248.87913504242897,0.8431,0.9139225319826101,840,3360,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 45,245.30962052941322,0.8457,0.9152953787348507,860,3440,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 46,241.68579378724098,0.8493,0.9172076959592029,880,3520,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 47,238.78697592020035,0.8498,0.9175472849735833,900,3600,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","816,817c816,817\n","< 49,233.31141862273216,0.8534,0.919433249306,940,3760,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 50,231.20849266648293,0.8535,0.9194867934733169,960,3840,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 49,233.31141862273216,0.8534,0.9194332493060001,940,3760,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 50,231.20849266648293,0.8535,0.9194867934733167,960,3840,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","832,833c832,833\n","< 14,471.704679608345,0.7288,0.8479431967169487,38,758,202,202,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 15,466.6226083040237,0.7386,0.8534277856290405,42,822,218,218,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 14,471.70467960834503,0.7288,0.8479431967169487,38,758,202,202,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 15,466.62260830402374,0.7386,0.8534277856290405,42,822,218,218,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","836c836\n","< 18,461.3226861953736,0.7434,0.8559032173460397,48,1008,272,272,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 18,461.32268619537354,0.7434,0.8559032173460397,48,1008,272,272,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","842c842\n","< 24,449.3582143783569,0.7586,0.8644800124881398,66,1386,374,374,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 24,449.35821437835693,0.7586,0.8644800124881398,66,1386,374,374,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","851,852c851,852\n","< 33,442.0527876615524,0.7519,0.8605875829869856,80,1940,540,540,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 34,439.3628746271133,0.7568,0.8632885673916038,85,2005,555,555,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 33,442.05278766155243,0.7519,0.8605875829869856,80,1940,540,540,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 34,439.36287462711334,0.7568,0.8632885673916038,85,2005,555,555,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","860c860\n","< 42,429.7889832258225,0.7697,0.8705550927664618,107,2507,693,693,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 42,429.78898322582245,0.7697,0.8705550927664618,107,2507,693,693,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","864,865c864,865\n","< 46,422.6253950595856,0.7732,0.8725293124345098,124,2764,756,756,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 47,420.9921556115151,0.7775,0.874935122247298,128,2828,772,772,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 46,422.62539505958557,0.7732,0.8725293124345098,124,2764,756,756,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 47,420.99215561151505,0.7775,0.874935122247298,128,2828,772,772,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","868c868\n","< 50,420.3569419384002,0.7803,0.8765586109201611,135,3015,825,825,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 50,420.35694193840027,0.7803,0.8765586109201611,135,3015,825,825,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","877c877\n","< 8,436.4232850670815,0.6901,0.8277786868656241,120,480,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 8,436.42328506708145,0.6901,0.8277786868656241,120,480,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","882,884c882,884\n","< 13,383.6349036097527,0.706,0.8372384299657124,220,880,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 14,375.1736285090447,0.7119,0.8405900683084976,240,960,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 15,367.8958085775376,0.7154,0.84259116332069,260,1040,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 13,383.63490360975266,0.706,0.8372384299657124,220,880,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 14,375.17362850904465,0.7119,0.8405900683084976,240,960,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 15,367.89580857753754,0.7154,0.84259116332069,260,1040,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","889c889\n","< 20,337.43830794096,0.7324,0.8521091038079376,360,1440,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 20,337.43830794095993,0.7324,0.8521091038079376,360,1440,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","908c908\n","< 39,259.5232393741608,0.7977,0.888474169980958,740,2960,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 39,259.52323937416077,0.7977,0.888474169980958,740,2960,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","910,911c910,911\n","< 41,251.19375604391095,0.8095,0.8949932049161813,780,3120,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 42,247.63025996088984,0.8155,0.8984522266755448,800,3200,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 41,251.19375604391098,0.8095,0.8949932049161813,780,3120,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 42,247.63025996088982,0.8155,0.8984522266755448,800,3200,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","914,915c914,915\n","< 45,239.97296503186223,0.8195,0.9009071107422548,860,3440,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 46,236.6619488596916,0.8248,0.9037889991959956,880,3520,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 45,239.97296503186226,0.8195,0.9009071107422549,860,3440,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 46,236.66194885969162,0.8248,0.9037889991959955,880,3520,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","918,919c918,919\n","< 49,228.451514929533,0.8314,0.9074023650009468,940,3760,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 50,226.48391288518903,0.8318,0.907661107391566,960,3840,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 49,228.451514929533,0.8314,0.9074023650009467,940,3760,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 50,226.48391288518906,0.8318,0.9076611073915661,960,3840,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","926,927c926,927\n","< 6,494.8998837471008,0.6442,0.801586016740303,240,160,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 7,475.5614248514176,0.6563,0.8083222134515825,300,200,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 6,494.89988374710083,0.6442,0.801586016740303,240,160,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 7,475.56142485141754,0.6563,0.8083222134515825,300,200,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","931c931\n","< 11,426.7471944689751,0.676,0.8197913312282644,540,360,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 11,426.74719446897507,0.676,0.8197913312282644,540,360,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","933,934c933,934\n","< 13,407.2792902588844,0.69,0.8274350570239261,660,440,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 14,398.7996862530708,0.7017,0.833814296745121,720,480,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 13,407.27929025888443,0.69,0.8274350570239261,660,440,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 14,398.79968625307083,0.7017,0.833814296745121,720,480,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","937c937\n","< 17,382.2426803708077,0.6918,0.8288412381182759,900,600,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 17,382.24268037080765,0.6918,0.8288412381182759,900,600,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","939c939\n","< 19,369.9606866240501,0.6951,0.8307141648269193,1020,680,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 19,369.96068662405014,0.6951,0.8307141648269193,1020,680,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","953c953\n","< 33,308.3604210019112,0.7262,0.8494786072419954,1860,1240,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 33,308.36042100191116,0.7262,0.8494786072419954,1860,1240,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","971c971\n","< 0,719.1563293933868,0.0828,0.4877378550041604,0,0,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 0,719.1563293933868,0.0828,0.48773785500416045,0,0,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","978c978\n","< 7,476.1414858102799,0.708,0.8373640016343709,300,200,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 7,476.14148581027985,0.708,0.8373640016343709,300,200,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","982,983c982,983\n","< 11,421.0648488402367,0.7312,0.8513374624523387,540,360,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 12,410.3044182658196,0.7302,0.8510065166631282,600,400,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 11,421.06484884023666,0.7312,0.8513374624523387,540,360,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 12,410.30441826581955,0.7302,0.8510065166631282,600,400,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1007,1008c1007,1008\n","< 36,265.94033801555634,0.8314,0.9064561950952336,2040,1360,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 37,260.5030308663845,0.8347,0.9083269036130852,2100,1400,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 36,265.94033801555634,0.8314,0.9064561950952335,2040,1360,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 37,260.5030308663845,0.8347,0.9083269036130851,2100,1400,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1010,1015c1010,1015\n","< 39,252.19369128346443,0.8414,0.9120259539437172,2220,1480,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 40,247.4850693643093,0.8467,0.9147938146548223,2280,1520,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 41,245.1367498934269,0.8419,0.9123436099029748,2340,1560,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 42,238.63570043444636,0.8537,0.9186753448416164,2400,1600,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 43,234.5217825472355,0.8502,0.9168367480135232,2460,1640,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 44,231.21686604619023,0.8537,0.9188923146119992,2520,1680,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 39,252.19369128346443,0.8414,0.9120259539437173,2220,1480,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 40,247.4850693643093,0.8467,0.9147938146548225,2280,1520,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 41,245.1367498934269,0.8419,0.9123436099029749,2340,1560,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 42,238.63570043444633,0.8537,0.9186753448416164,2400,1600,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 43,234.5217825472355,0.8502,0.9168367480135231,2460,1640,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 44,231.21686604619026,0.8537,0.9188923146119992,2520,1680,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1019c1019\n","< 48,218.0372880101204,0.8666,0.9260039568734576,2760,1840,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 48,218.0372880101204,0.8666,0.9260039568734577,2760,1840,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1028c1028\n","< 6,490.1791826486588,0.6847,0.8234170065921036,240,160,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 6,490.17918264865875,0.6847,0.8234170065921036,240,160,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1030c1030\n","< 8,455.7605956792832,0.69,0.8266385194537442,360,240,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 8,455.76059567928314,0.69,0.8266385194537442,360,240,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1034c1034\n","< 12,405.1279730200768,0.7238,0.8453843244712214,600,400,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 12,405.12797302007675,0.7238,0.8453843244712214,600,400,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1037c1037\n","< 15,375.618688762188,0.7569,0.8639934210929869,780,520,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 15,375.61868876218796,0.7569,0.8639934210929869,780,520,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1062,1063c1062,1063\n","< 40,252.9414568841457,0.8296,0.904885862822934,2280,1520,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 41,253.2367979288101,0.8215,0.9006410558018929,2340,1560,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 40,252.94145688414574,0.8296,0.9048858628229339,2280,1520,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 41,253.23679792881012,0.8215,0.9006410558018929,2340,1560,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1065c1065\n","< 43,242.87684950232503,0.8321,0.9064196120639072,2460,1640,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 43,242.87684950232506,0.8321,0.9064196120639073,2460,1640,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1068,1069c1068,1069\n","< 46,233.0719223022461,0.8417,0.912065029270254,2640,1760,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 47,232.3407300114632,0.8344,0.9080414480156926,2700,1800,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 46,233.0719223022461,0.8417,0.9120650292702541,2640,1760,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 47,232.34073001146317,0.8344,0.9080414480156926,2700,1800,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1071c1071\n","< 49,229.8004187643528,0.8314,0.9063914960795956,2820,1880,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 49,229.8004187643528,0.8314,0.9063914960795957,2820,1880,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1082c1082\n","< 9,436.8661753535271,0.6576,0.8083492035540761,420,280,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 9,436.86617535352707,0.6576,0.8083492035540761,420,280,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1084,1085c1084,1085\n","< 11,413.0753965377808,0.6863,0.8243580184321674,540,360,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 12,403.1575587391853,0.694,0.828656481707642,600,400,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 11,413.07539653778076,0.6863,0.8243580184321674,540,360,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 12,403.15755873918533,0.694,0.828656481707642,600,400,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1087c1087\n","< 14,385.6631174087525,0.7098,0.8376552350227463,720,480,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 14,385.66311740875244,0.7098,0.8376552350227463,720,480,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1089,1090c1089,1090\n","< 16,372.752679347992,0.7152,0.8407012734397871,840,560,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 17,363.0952144861221,0.7333,0.8505706650943994,900,600,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 16,372.75267934799194,0.7152,0.8407012734397871,840,560,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 17,363.09521448612213,0.7333,0.8505706650943994,900,600,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1116c1116\n","< 43,253.1233513355255,0.8251,0.902419268415406,2460,1640,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 43,253.1233513355255,0.8251,0.9024192684154059,2460,1640,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1119c1119\n","< 46,245.6424387693405,0.8295,0.9050556791235526,2640,1760,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 46,245.64243876934052,0.8295,0.9050556791235526,2640,1760,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1121c1121\n","< 48,240.14372372627255,0.8343,0.9078909312220282,2760,1840,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 48,240.14372372627258,0.8343,0.9078909312220282,2760,1840,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1123c1123\n","< 50,236.33960208296776,0.8279,0.9043813221455111,2880,1920,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 50,236.33960208296776,0.8279,0.9043813221455113,2880,1920,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1132c1132\n","< 8,475.3428300619125,0.6528,0.8052951928595962,480,120,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 8,475.34283006191254,0.6528,0.8052951928595962,480,120,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1142,1144c1142,1144\n","< 18,381.6847965717316,0.7172,0.8412924687914609,1280,320,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 19,379.7977724075317,0.7005,0.8322388322996318,1360,340,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 20,372.6545172333717,0.702,0.8327528598188326,1440,360,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 18,381.68479657173157,0.7172,0.8412924687914609,1280,320,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 19,379.79777240753174,0.7005,0.8322388322996318,1360,340,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 20,372.65451723337173,0.702,0.8327528598188326,1440,360,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1153c1153\n","< 29,327.1385751366616,0.7525,0.8611120401769281,2160,540,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 29,327.13857513666153,0.7525,0.8611120401769281,2160,540,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1189c1189\n","< 14,380.2536673545837,0.6952,0.8300846704581352,960,240,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 14,380.25366735458374,0.6952,0.8300846704581352,960,240,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1213,1217c1213,1217\n","< 38,256.6416989564896,0.8159,0.8977849736044343,2880,720,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 39,250.82639652490616,0.8215,0.9007412185670536,2960,740,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 40,244.80181822180748,0.8308,0.9057585462346656,3040,760,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 41,243.57577794790268,0.8273,0.9040471211208204,3120,780,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 42,240.9998639523983,0.8293,0.9051205424698155,3200,800,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 38,256.64169895648956,0.8159,0.8977849736044343,2880,720,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 39,250.82639652490616,0.8215,0.9007412185670537,2960,740,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 40,244.80181822180748,0.8308,0.9057585462346657,3040,760,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 41,243.57577794790268,0.8273,0.9040471211208203,3120,780,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 42,240.9998639523983,0.8293,0.9051205424698157,3200,800,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1219,1220c1219,1220\n","< 44,234.60437813401225,0.8297,0.905828681712445,3360,840,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 45,230.6449437737465,0.8367,0.9098318378346896,3440,860,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 44,234.60437813401222,0.8297,0.905828681712445,3360,840,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 45,230.6449437737465,0.8367,0.9098318378346895,3440,860,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1222c1222\n","< 47,224.4278733432293,0.844,0.9137563769114608,3600,900,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 47,224.4278733432293,0.844,0.9137563769114607,3600,900,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1224,1225c1224,1225\n","< 49,218.08804169297215,0.8499,0.9172467258931072,3760,940,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 50,215.4389624297619,0.8533,0.918896147983666,3840,960,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 49,218.08804169297218,0.8499,0.9172467258931072,3760,940,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 50,215.4389624297619,0.8533,0.9188961479836661,3840,960,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1232c1232\n","< 6,499.6577279567719,0.6016,0.7807191851707718,320,80,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 6,499.65772795677185,0.6016,0.7807191851707718,320,80,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1238c1238\n","< 12,421.2784726619721,0.6451,0.804727994205426,800,200,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 12,421.27847266197205,0.6451,0.804727994205426,800,200,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1241c1241\n","< 15,393.0565231442452,0.6655,0.8159660715691818,1040,260,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 15,393.05652314424515,0.6655,0.8159660715691818,1040,260,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1245c1245\n","< 19,371.283694922924,0.6807,0.8243998052543136,1360,340,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 19,371.28369492292404,0.6807,0.8243998052543136,1360,340,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1262c1262\n","< 36,293.114183485508,0.7658,0.8714642786012886,2720,680,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 36,293.11418348550797,0.7658,0.8714642786012886,2720,680,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1269c1269\n","< 43,270.1188036501408,0.7906,0.8849452955485647,3280,820,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 43,270.11880365014076,0.7906,0.8849452955485647,3280,820,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1273c1273\n","< 47,255.6318503916264,0.8104,0.8962922484379197,3600,900,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 47,255.63185039162636,0.8104,0.8962922484379197,3600,900,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1275c1275\n","< 49,253.3725361227989,0.8089,0.8953618560507801,3760,940,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 49,253.37253612279892,0.8089,0.8953618560507801,3760,940,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1285c1285\n","< 8,460.2896277904511,0.6582,0.8114238995402477,480,120,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 8,460.28962779045105,0.6582,0.8114238995402477,480,120,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1322,1324c1322,1324\n","< 45,251.32896345853808,0.823,0.9024973918539414,3440,860,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 46,246.6129721701145,0.8238,0.902964130822734,3520,880,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 47,245.88288536667824,0.8228,0.9025468222864796,3600,900,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 45,251.32896345853806,0.823,0.9024973918539414,3440,860,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 46,246.61297217011452,0.8238,0.9029641308227339,3520,880,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 47,245.88288536667824,0.8228,0.9025468222864795,3600,900,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1336c1336\n","< 8,464.7763378620148,0.6418,0.8012294390283033,0,600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 8,464.77633786201477,0.6418,0.8012294390283033,0,600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1348c1348\n","< 20,364.8115987181664,0.7104,0.8395753333384309,0,1800,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 20,364.81159871816635,0.7104,0.8395753333384309,0,1800,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1388c1388\n","< 9,453.6348769664765,0.6719,0.8193874355441653,140,560,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 9,453.63487696647644,0.6719,0.8193874355441653,140,560,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1393c1393\n","< 14,401.9211477041245,0.7224,0.8475873954637894,240,960,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 14,401.92114770412445,0.7224,0.8475873954637894,240,960,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1397c1397\n","< 18,372.5059199929237,0.7473,0.8613479315379917,320,1280,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 18,372.50591999292374,0.7473,0.8613479315379917,320,1280,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1417,1418c1417,1418\n","< 38,279.5064374804497,0.8219,0.9028698367951864,720,2880,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 39,276.0249148607254,0.8261,0.9051137240569308,740,2960,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 38,279.5064374804497,0.8219,0.9028698367951863,720,2880,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 39,276.0249148607254,0.8261,0.9051137240569307,740,2960,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1420,1422c1420,1422\n","< 41,269.82970038056374,0.8289,0.906867818864352,780,3120,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 42,267.1029510200024,0.8287,0.906892092377914,800,3200,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 43,263.64870434999466,0.8316,0.90853457819014,820,3280,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 41,269.82970038056374,0.8289,0.9068678188643521,780,3120,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 42,267.10295102000237,0.8287,0.906892092377914,800,3200,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 43,263.64870434999466,0.8316,0.9085345781901399,820,3280,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1425c1425\n","< 46,255.76061064004895,0.835,0.91055161466218,880,3520,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 46,255.76061064004898,0.835,0.9105516146621799,880,3520,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1428,1429c1428,1429\n","< 49,245.4986724257469,0.8474,0.9172530484622128,940,3760,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 50,243.07982432842252,0.8468,0.916950154706805,960,3840,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 49,245.49867242574692,0.8474,0.9172530484622128,940,3760,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 50,243.07982432842255,0.8468,0.916950154706805,960,3840,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1436c1436\n","< 6,473.1805608272553,0.7232,0.8446908853895984,80,320,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 6,473.18056082725525,0.7232,0.8446908853895984,80,320,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1448c1448\n","< 18,339.9320880770684,0.7728,0.8742565516033138,320,1280,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 18,339.93208807706833,0.7728,0.8742565516033138,320,1280,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1464,1465c1464,1465\n","< 34,258.33538043499,0.8151,0.8978716902997856,640,2560,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 35,253.3561181128025,0.8209,0.9010861085476608,660,2640,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 34,258.33538043498993,0.8151,0.8978716902997856,640,2560,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 35,253.3561181128025,0.8209,0.9010861085476609,660,2640,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1468c1468\n","< 38,244.1506149172783,0.8209,0.9012454120482336,720,2880,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 38,244.1506149172783,0.8209,0.9012454120482337,720,2880,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1470,1474c1470,1474\n","< 40,235.83175802230835,0.8293,0.9056799901281424,760,3040,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 41,232.3114383220673,0.8312,0.906696103500235,780,3120,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 42,228.584326595068,0.8367,0.9097831035710584,800,3200,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 43,224.8873911499977,0.8389,0.9110310504834188,820,3280,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 44,222.99379724264145,0.8363,0.9096739977804064,840,3360,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 40,235.83175802230835,0.8293,0.9056799901281425,760,3040,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 41,232.31143832206726,0.8312,0.906696103500235,780,3120,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 42,228.58432659506798,0.8367,0.9097831035710584,800,3200,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 43,224.8873911499977,0.8389,0.9110310504834187,820,3280,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 44,222.99379724264145,0.8363,0.9096739977804065,840,3360,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1477c1477\n","< 47,214.02045810222623,0.8418,0.9127248288073438,900,3600,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 47,214.02045810222626,0.8418,0.9127248288073438,900,3600,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1492c1492\n","< 11,497.0133258104324,0.6342,0.7955219971513211,19,559,161,161,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 11,497.01332581043243,0.6342,0.7955219971513211,19,559,161,161,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1495c1495\n","< 14,481.0177314281464,0.6419,0.7999573502251819,28,748,212,212,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 14,481.01773142814636,0.6419,0.7999573502251819,28,748,212,212,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1499c1499\n","< 18,465.2556521892548,0.6526,0.8058072475529727,42,1002,278,278,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 18,465.25565218925476,0.6526,0.8058072475529727,42,1002,278,278,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1510,1512c1510,1512\n","< 29,448.4457901716232,0.6411,0.799715444107086,72,1692,468,468,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 30,446.6508096456528,0.6388,0.7984500629289907,76,1756,484,484,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 31,442.9852379560471,0.6414,0.7999420551240247,84,1824,496,496,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 29,448.44579017162323,0.6411,0.799715444107086,72,1692,468,468,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 30,446.65080964565277,0.6388,0.7984500629289907,76,1756,484,484,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 31,442.98523795604706,0.6414,0.7999420551240247,84,1824,496,496,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1520c1520\n","< 39,435.914495229721,0.6457,0.8022402558737056,106,2326,634,634,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 39,435.91449522972107,0.6457,0.8022402558737056,106,2326,634,634,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1523,1524c1523,1524\n","< 42,429.8532596826553,0.6537,0.8067071590050539,122,2522,678,678,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 43,429.3077204227448,0.6545,0.807181396482043,124,2584,696,696,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 42,429.85325968265533,0.6537,0.8067071590050539,122,2522,678,678,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 43,429.30772042274475,0.6545,0.807181396482043,124,2584,696,696,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1531c1531\n","< 50,425.8632417917252,0.649,0.8041842557170827,147,3027,813,813,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 50,425.86324179172516,0.649,0.8041842557170827,147,3027,813,813,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1538c1538\n","< 6,504.5438023805618,0.6348,0.7981364496692284,80,320,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 6,504.54380238056183,0.6348,0.7981364496692284,80,320,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1548,1549c1548,1549\n","< 16,394.2315281629562,0.7148,0.8415664798208358,280,1120,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 17,386.7995578050613,0.7249,0.846918118027095,300,1200,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 16,394.23152816295624,0.7148,0.8415664798208358,280,1120,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 17,386.79955780506134,0.7249,0.846918118027095,300,1200,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1575c1575\n","< 43,273.1894118487835,0.8248,0.9021770644894384,820,3280,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 43,273.1894118487835,0.8248,0.9021770644894385,820,3280,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1578,1579c1578,1579\n","< 46,264.6923571228981,0.8279,0.9039264605684976,880,3520,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 47,262.38246685266495,0.8274,0.9036763746440232,900,3600,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 46,264.6923571228981,0.8279,0.9039264605684977,880,3520,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 47,262.38246685266495,0.8274,0.9036763746440231,900,3600,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1582c1582\n","< 50,254.6368228793144,0.8294,0.9048271115507523,960,3840,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 50,254.63682287931442,0.8294,0.9048271115507523,960,3840,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1588,1590c1588,1590\n","< 5,501.933190703392,0.6795,0.8221073405531095,180,120,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 6,482.351044178009,0.6877,0.8266201796217676,240,160,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 7,464.5350360870361,0.6909,0.8285080418332402,300,200,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 5,501.93319070339203,0.6795,0.8221073405531095,180,120,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 6,482.35104417800903,0.6877,0.8266201796217676,240,160,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 7,464.53503608703613,0.6909,0.8285080418332402,300,200,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1593,1594c1593,1594\n","< 10,424.5673075318337,0.7082,0.8380662589652349,480,320,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 11,415.2471328377724,0.7026,0.8354852165295847,540,360,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 10,424.56730753183365,0.7082,0.8380662589652349,480,320,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 11,415.24713283777237,0.7026,0.8354852165295847,540,360,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1598c1598\n","< 15,381.060920894146,0.7142,0.8419929108521368,780,520,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 15,381.06092089414597,0.7142,0.8419929108521368,780,520,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1601c1601\n","< 18,363.0201218128204,0.7116,0.8402152223705309,960,640,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 18,363.02012181282043,0.7116,0.8402152223705309,960,640,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1627,1629c1627,1629\n","< 44,251.57860505580905,0.7899,0.8845574041326414,2520,1680,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 45,248.61328655481336,0.7907,0.8847283837737384,2580,1720,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 46,245.8974596560001,0.7924,0.8858630526492266,2640,1760,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 44,251.57860505580902,0.7899,0.8845574041326414,2520,1680,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 45,248.61328655481339,0.7907,0.8847283837737384,2580,1720,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 46,245.89745965600014,0.7924,0.8858630526492266,2640,1760,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1631c1631\n","< 48,240.08200797438624,0.7947,0.88726758670262,2760,1840,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 48,240.08200797438622,0.7947,0.88726758670262,2760,1840,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1640c1640\n","< 6,491.3909187316895,0.7028,0.8322269134942898,240,160,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 6,491.39091873168945,0.7028,0.8322269134942898,240,160,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1644c1644\n","< 10,431.5239355564117,0.7438,0.8559057105155979,480,320,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 10,431.52393555641174,0.7438,0.8559057105155979,480,320,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1649c1649\n","< 15,380.8619700670242,0.7892,0.8818627363398956,780,520,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 15,380.86197006702423,0.7892,0.8818627363398956,780,520,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1651c1651\n","< 17,366.86940574646,0.7974,0.886482950646897,900,600,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 17,366.86940574645996,0.7974,0.886482950646897,900,600,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1654c1654\n","< 20,348.8218957781792,0.8066,0.8918791984938981,1080,720,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 20,348.82189577817917,0.8066,0.8918791984938981,1080,720,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1660,1661c1660,1661\n","< 26,318.315700173378,0.8255,0.9026738346102696,1440,960,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 27,314.96477496624,0.8279,0.9038621443895656,1500,1000,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 26,318.315700173378,0.8255,0.9026738346102695,1440,960,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 27,314.96477496623993,0.8279,0.9038621443895657,1500,1000,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1664c1664\n","< 30,302.80914747715,0.827,0.903591093956058,1680,1120,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 30,302.80914747714996,0.827,0.903591093956058,1680,1120,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1666c1666\n","< 32,295.4068713784218,0.8307,0.9056451272959184,1800,1200,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 32,295.4068713784218,0.8307,0.9056451272959185,1800,1200,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1668,1669c1668,1669\n","< 34,286.1654578447342,0.8378,0.9095706802312656,1920,1280,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 35,280.94784915447235,0.8426,0.9122990152725292,1980,1320,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 34,286.1654578447342,0.8378,0.9095706802312657,1920,1280,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 35,280.94784915447235,0.8426,0.9122990152725293,1980,1320,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1671c1671\n","< 37,274.0285646021366,0.8447,0.9134809640829812,2100,1400,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 37,274.0285646021366,0.8447,0.9134809640829813,2100,1400,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1673c1673\n","< 39,267.3102614581585,0.8497,0.9162646610036128,2220,1480,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 39,267.3102614581585,0.8497,0.9162646610036127,2220,1480,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1675,1676c1675,1676\n","< 41,261.8735408484936,0.8485,0.915707290854436,2340,1560,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 42,258.5270721614361,0.8525,0.9176974253952612,2400,1600,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 41,261.8735408484936,0.8485,0.9157072908544359,2340,1560,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 42,258.5270721614361,0.8525,0.9176974253952613,2400,1600,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1678,1679c1678,1679\n","< 44,253.0094395577908,0.8523,0.9177860997433472,2520,1680,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 45,248.74885162711143,0.8595,0.9217957284990496,2580,1720,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 44,253.00943955779076,0.8523,0.9177860997433471,2520,1680,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 45,248.74885162711143,0.8595,0.9217957284990497,2580,1720,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1683c1683\n","< 49,238.58206045627597,0.8606,0.9224266034599374,2820,1880,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 49,238.58206045627594,0.8606,0.9224266034599374,2820,1880,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1690c1690\n","< 5,495.089172244072,0.7325,0.8504357494820669,180,120,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 5,495.08917224407196,0.7325,0.8504357494820669,180,120,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1694,1695c1694,1695\n","< 9,424.2794373631477,0.7481,0.8599297136766978,420,280,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 10,411.935023009777,0.7551,0.8643037700167294,480,320,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 9,424.27943736314774,0.7481,0.8599297136766978,420,280,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 10,411.93502300977707,0.7551,0.8643037700167294,480,320,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1698,1699c1698,1699\n","< 13,383.1265767216682,0.761,0.868263723274566,660,440,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 14,371.6525968909264,0.7744,0.8757576094053039,720,480,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 13,383.12657672166824,0.761,0.868263723274566,660,440,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 14,371.65259689092636,0.7744,0.8757576094053039,720,480,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1716c1716\n","< 31,289.7772367894649,0.7956,0.8876320244272694,1740,1160,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 31,289.77723678946495,0.7956,0.8876320244272694,1740,1160,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1725,1729c1725,1729\n","< 40,256.2266204059124,0.8232,0.9028016478799036,2280,1520,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 41,254.9888532161713,0.8191,0.9007041922770762,2340,1560,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 42,251.04915064573288,0.8274,0.9050607761144468,2400,1600,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 43,247.7320351302624,0.8248,0.9037348267587012,2460,1640,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 44,245.1801182925701,0.8255,0.9042594382544308,2520,1680,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 40,256.2266204059124,0.8232,0.9028016478799037,2280,1520,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 41,254.98885321617126,0.8191,0.9007041922770762,2340,1560,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 42,251.04915064573288,0.8274,0.9050607761144469,2400,1600,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 43,247.73203513026237,0.8248,0.9037348267587013,2460,1640,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 44,245.1801182925701,0.8255,0.9042594382544309,2520,1680,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1731c1731\n","< 46,239.45842158794403,0.8309,0.9072385152444068,2640,1760,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 46,239.45842158794403,0.8309,0.9072385152444067,2640,1760,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1735c1735\n","< 50,232.0970865190029,0.829,0.906491019812479,2880,1920,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 50,232.09708651900291,0.829,0.906491019812479,2880,1920,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1741,1744c1741,1744\n","< 5,504.9960463047028,0.7043,0.8339577198839144,180,120,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 6,482.0193755626679,0.718,0.8416998507507584,240,160,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 7,464.4123702049256,0.7196,0.8425150243591315,300,200,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 8,449.9363241195679,0.7193,0.8430637858532707,360,240,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 5,504.99604630470276,0.7043,0.8339577198839144,180,120,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 6,482.01937556266785,0.718,0.8416998507507584,240,160,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 7,464.41237020492554,0.7196,0.8425150243591315,300,200,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 8,449.93632411956787,0.7193,0.8430637858532707,360,240,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1747c1747\n","< 11,412.0975939035416,0.7417,0.8554204118987162,540,360,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 11,412.09759390354156,0.7417,0.8554204118987162,540,360,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1750c1750\n","< 14,384.622674882412,0.7537,0.8628546712652891,720,480,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 14,384.62267488241196,0.7537,0.8628546712652891,720,480,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1753,1754c1753,1754\n","< 17,362.5471278429032,0.7711,0.8723165164650121,900,600,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 18,359.0573964118957,0.7663,0.8697747669520041,960,640,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 17,362.54712784290314,0.7711,0.8723165164650121,900,600,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 18,359.05739641189575,0.7663,0.8697747669520041,960,640,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1770c1770\n","< 34,280.0059100985527,0.8231,0.90138553870363,1920,1280,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 34,280.0059100985527,0.8231,0.9013855387036301,1920,1280,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1773c1773\n","< 37,268.0970847606659,0.8308,0.9059743327705104,2100,1400,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 37,268.0970847606659,0.8308,0.9059743327705103,2100,1400,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1775c1775\n","< 39,260.3130470514297,0.8393,0.9107022941792524,2220,1480,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 39,260.31304705142975,0.8393,0.9107022941792525,2220,1480,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1777c1777\n","< 41,254.78657141327855,0.8381,0.9101974748379592,2340,1560,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 41,254.78657141327858,0.8381,0.9101974748379593,2340,1560,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1783,1784c1783,1784\n","< 47,236.58231562376025,0.8497,0.9167597594663716,2700,1800,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 48,233.6841636002064,0.8552,0.9197987720311463,2760,1840,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 47,236.58231562376022,0.8497,0.9167597594663717,2700,1800,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 48,233.68416360020638,0.8552,0.9197987720311465,2760,1840,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1786c1786\n","< 50,229.5758202970028,0.8506,0.9174251622659584,2880,1920,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 50,229.5758202970028,0.8506,0.9174251622659583,2880,1920,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1795,1796c1795,1796\n","< 8,438.4927157759666,0.6976,0.8321324541117736,480,120,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 9,423.0127817988396,0.7124,0.8401752506544062,560,140,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 8,438.49271577596664,0.6976,0.8321324541117736,480,120,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 9,423.01278179883957,0.7124,0.8401752506544062,560,140,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1800c1800\n","< 13,374.8322633504868,0.7547,0.8644308383743061,880,220,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 13,374.83226335048676,0.7547,0.8644308383743061,880,220,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1808c1808\n","< 21,317.8871020674705,0.7733,0.8750490211757282,1520,380,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 21,317.88710206747055,0.7733,0.8750490211757282,1520,380,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1816c1816\n","< 29,273.2662756443024,0.8211,0.901548563043351,2160,540,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 29,273.26627564430237,0.8211,0.901548563043351,2160,540,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1818c1818\n","< 31,265.3208356797695,0.8219,0.9021343820435388,2320,580,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 31,265.3208356797695,0.8219,0.9021343820435389,2320,580,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1821,1823c1821,1823\n","< 34,250.4114909172058,0.8282,0.9057539190768524,2560,640,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 35,247.25038796663284,0.8315,0.9074375834855224,2640,660,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 36,239.71649238467216,0.8479,0.916240490914366,2720,680,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 34,250.4114909172058,0.8282,0.9057539190768523,2560,640,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 35,247.25038796663284,0.8315,0.9074375834855223,2640,660,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 36,239.71649238467216,0.8479,0.9162404909143659,2720,680,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1825c1825\n","< 38,234.0053893327713,0.849,0.916337341731044,2880,720,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 38,234.0053893327713,0.849,0.9163373417310441,2880,720,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1828,1829c1828,1829\n","< 41,222.26805421710012,0.8623,0.9240945233459052,3120,780,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 42,220.40284541249275,0.8615,0.9237522216037404,3200,800,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 41,222.26805421710014,0.8623,0.9240945233459052,3120,780,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 42,220.40284541249275,0.8615,0.9237522216037405,3200,800,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1831c1831\n","< 44,216.85056883096692,0.8582,0.9224565795997852,3360,840,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 44,216.85056883096695,0.8582,0.9224565795997851,3360,840,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1833c1833\n","< 46,209.49033254384997,0.8691,0.9277223145406482,3520,880,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 46,209.49033254384995,0.8691,0.9277223145406482,3520,880,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1836,1838c1836,1838\n","< 49,206.12102589011192,0.8559,0.921147634962592,3760,940,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 50,205.7683491706848,0.8526,0.9191463992455176,3840,960,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 0,724.9873557090759,0.092,0.4965169759635622,0,0,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 49,206.12102589011192,0.8559,0.9211476349625919,3760,940,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 50,205.76834917068481,0.8526,0.9191463992455177,3840,960,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 0,724.9873557090759,0.092,0.49651697596356226,0,0,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1845c1845\n","< 7,472.9700474739074,0.6978,0.8303690842547695,400,100,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 7,472.97004747390747,0.6978,0.8303690842547695,400,100,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1848c1848\n","< 10,431.8864439129829,0.7096,0.8376489565737831,640,160,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 10,431.88644391298294,0.7096,0.8376489565737831,640,160,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1852c1852\n","< 14,390.3111944198608,0.7322,0.8499803634048526,960,240,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 14,390.31119441986084,0.7322,0.8499803634048526,960,240,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1883c1883\n","< 45,252.2384236454964,0.8281,0.90405312721264,3440,860,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 45,252.23842364549637,0.8281,0.9040531272126401,3440,860,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1885c1885\n","< 47,245.93013113737103,0.8344,0.9074412598273632,3600,900,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 47,245.93013113737106,0.8344,0.9074412598273632,3600,900,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1887,1888c1887,1888\n","< 49,241.45902249217036,0.8323,0.9065917080602456,3760,940,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 50,237.31891867518425,0.8383,0.9096733670982332,3840,960,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 49,241.45902249217033,0.8323,0.9065917080602455,3760,940,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 50,237.31891867518425,0.8383,0.9096733670982331,3840,960,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1896,1897c1896,1897\n","< 7,492.0201867818832,0.6893,0.8267591773963208,400,100,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 8,478.5885779857636,0.6744,0.8194636606484776,480,120,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 7,492.02018678188324,0.6893,0.8267591773963208,400,100,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 8,478.58857798576355,0.6744,0.8194636606484776,480,120,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1900c1900\n","< 11,435.1713891625405,0.7143,0.8417937273877655,720,180,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 11,435.17138916254044,0.7143,0.8417937273877655,720,180,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1905,1906c1905,1906\n","< 16,395.1699590682984,0.7094,0.8403575133158968,1120,280,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 17,385.7604690790176,0.7356,0.8550086391149646,1200,300,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 16,395.16995906829834,0.7094,0.8403575133158968,1120,280,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 17,385.76046907901764,0.7356,0.8550086391149646,1200,300,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1925c1925\n","< 36,303.949213385582,0.7545,0.8657392550365287,2720,680,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 36,303.94921338558197,0.7545,0.8657392550365287,2720,680,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1928c1928\n","< 39,288.4645176827908,0.7829,0.8812479657563159,2960,740,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 39,288.46451768279076,0.7829,0.8812479657563159,2960,740,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1945c1945\n","< 5,508.393196105957,0.5824,0.7673740899866258,240,60,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 5,508.39319610595703,0.5824,0.7673740899866258,240,60,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1950c1950\n","< 10,428.1448892951012,0.617,0.7873547367639702,640,160,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 10,428.14488929510117,0.617,0.7873547367639702,640,160,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1953c1953\n","< 13,394.1644993424416,0.659,0.810298564426524,880,220,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 13,394.16449934244156,0.659,0.810298564426524,880,220,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1955c1955\n","< 15,379.151989877224,0.6634,0.8124117599130611,1040,260,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 15,379.15198987722397,0.6634,0.8124117599130611,1040,260,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1971c1971\n","< 31,296.1746839880944,0.7389,0.8535768201081047,2320,580,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 31,296.17468398809433,0.7389,0.8535768201081047,2320,580,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1974c1974\n","< 34,283.6375879645348,0.7532,0.8617281124548459,2560,640,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 34,283.63758796453476,0.7532,0.8617281124548459,2560,640,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1983,1984c1983,1984\n","< 43,252.97935751080516,0.7848,0.8796809047537554,3280,820,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 44,250.2705602049828,0.7837,0.8791642739133136,3360,840,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 43,252.97935751080513,0.7848,0.8796809047537554,3280,820,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 44,250.27056020498276,0.7837,0.8791642739133136,3360,840,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1986c1986\n","< 46,239.2662063539028,0.8049,0.8910810616034265,3520,880,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 46,239.26620635390282,0.8049,0.8910810616034265,3520,880,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1988,1989c1988,1989\n","< 48,238.3126322627068,0.798,0.8873887193733931,3680,920,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 49,239.23114690184596,0.7894,0.8825655400015753,3760,940,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 48,238.31263226270676,0.798,0.8873887193733931,3680,920,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 49,239.23114690184593,0.7894,0.8825655400015753,3760,940,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","2000c2000\n","< 9,421.5518224239349,0.6472,0.8021847999420562,0,700,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 9,421.55182242393494,0.6472,0.8021847999420562,0,700,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2002c2002\n","< 11,398.0711528062821,0.6615,0.8100599557844339,0,900,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 11,398.07115280628204,0.6615,0.8100599557844339,0,900,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2006c2006\n","< 15,364.5514417290688,0.6742,0.8168788425356841,0,1300,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 15,364.55144172906876,0.6742,0.8168788425356841,0,1300,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2014c2014\n","< 23,316.3889939785004,0.7247,0.8455164039977049,0,2100,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 23,316.38899397850037,0.7247,0.8455164039977049,0,2100,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2029c2029\n","< 38,272.709935605526,0.7293,0.8495753155839193,0,3600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 38,272.70993560552597,0.7293,0.8495753155839193,0,3600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2032c2032\n","< 41,264.3124725222588,0.7395,0.8555477716492744,0,3900,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 41,264.31247252225876,0.7395,0.8555477716492744,0,3900,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2036c2036\n","< 45,257.1615718007088,0.7395,0.8559345563466071,0,4300,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 45,257.16157180070877,0.7395,0.8559345563466071,0,4300,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2038,2040c2038,2040\n","< 47,252.1617304086685,0.7445,0.858708209504683,0,4500,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 48,252.242333739996,0.741,0.856826508066834,0,4600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 49,253.3587736189365,0.7338,0.8529184561642108,0,4700,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 47,252.16173040866852,0.7445,0.858708209504683,0,4500,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 48,252.24233373999596,0.741,0.856826508066834,0,4600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 49,253.35877361893654,0.7338,0.8529184561642108,0,4700,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2055,2057c2055,2057\n","< 13,397.0568637847901,0.6254,0.7929387813267631,220,880,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 14,386.7903811335564,0.6406,0.8012379179833949,240,960,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 15,377.6692390441895,0.645,0.8037612564734046,260,1040,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 13,397.05686378479004,0.6254,0.7929387813267631,220,880,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 14,386.79038113355637,0.6406,0.8012379179833949,240,960,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 15,377.66923904418945,0.645,0.8037612564734046,260,1040,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2059c2059\n","< 17,363.4873831868172,0.644,0.8035718906113793,300,1200,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 17,363.48738318681717,0.644,0.8035718906113793,300,1200,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2064c2064\n","< 22,325.1674090623856,0.7099,0.8395713940876142,400,1600,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 22,325.16740906238556,0.7099,0.8395713940876142,400,1600,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2073c2073\n","< 31,286.3410960435868,0.7527,0.8631290454178838,580,2320,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 31,286.34109604358673,0.7527,0.8631290454178838,580,2320,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2081c2081\n","< 39,253.67825347185132,0.79,0.8836556649023037,740,2960,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 39,253.67825347185135,0.79,0.8836556649023037,740,2960,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2087c2087\n","< 45,234.6090282797813,0.8014,0.8902647030350137,860,3440,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 45,234.60902827978134,0.8014,0.8902647030350137,860,3440,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2089c2089\n","< 47,230.75550997257236,0.8034,0.8913174483160831,900,3600,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 47,230.75550997257233,0.8034,0.8913174483160831,900,3600,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2091,2093c2091,2093\n","< 49,225.3215583264828,0.8106,0.8951712693110669,940,3760,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 50,221.7858886122704,0.8154,0.8978636128432409,960,3840,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 0,725.7237486839294,0.0719,0.4852541895638699,0,0,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 49,225.32155832648277,0.8106,0.8951712693110669,940,3760,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 50,221.78588861227036,0.8154,0.8978636128432409,960,3840,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 0,725.7237486839294,0.0719,0.48525418956386995,0,0,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2110,2115c2110,2115\n","< 17,379.1023018360138,0.8422,0.9119677184074912,300,1200,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 18,369.81475871801376,0.8466,0.91446568583848,320,1280,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 19,361.0606458187103,0.8481,0.9155556076098011,340,1360,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 20,353.7728676199913,0.8486,0.9158654033409837,360,1440,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 21,346.4688632488251,0.8484,0.9157789007864708,380,1520,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 22,338.8871642947197,0.8537,0.9187301638166588,400,1600,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 17,379.1023018360138,0.8422,0.9119677184074911,300,1200,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 18,369.81475871801376,0.8466,0.9144656858384801,320,1280,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 19,361.0606458187103,0.8481,0.9155556076098013,340,1360,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 20,353.7728676199913,0.8486,0.9158654033409835,360,1440,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 21,346.4688632488251,0.8484,0.9157789007864707,380,1520,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 22,338.8871642947197,0.8537,0.9187301638166587,400,1600,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2117,2119c2117,2119\n","< 24,326.9718537926674,0.8479,0.915703414904708,440,1760,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 25,321.5154142975807,0.8483,0.9157303099421868,460,1840,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 26,314.7632549405098,0.8533,0.918536184381402,480,1920,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 24,326.9718537926674,0.8479,0.9157034149047079,440,1760,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 25,321.5154142975807,0.8483,0.9157303099421867,460,1840,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 26,314.7632549405098,0.8533,0.9185361843814019,480,1920,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2121,2124c2121,2124\n","< 28,302.750106215477,0.8612,0.9226647172915192,520,2080,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 29,297.6691553592682,0.8555,0.9195691456865528,540,2160,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 30,294.27197086811066,0.8535,0.91841639910331,560,2240,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 31,289.9298240840435,0.8527,0.917942005631438,580,2320,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 28,302.750106215477,0.8612,0.9226647172915193,520,2080,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 29,297.6691553592682,0.8555,0.9195691456865529,540,2160,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 30,294.27197086811066,0.8535,0.9184163991033101,560,2240,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 31,289.9298240840435,0.8527,0.9179420056314381,580,2320,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2127c2127\n","< 34,275.84649389982224,0.8586,0.9210520543811572,640,2560,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 34,275.84649389982224,0.8586,0.9210520543811571,640,2560,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2132,2133c2132,2133\n","< 39,262.4745635688305,0.8551,0.9194608818966844,740,2960,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 40,260.67709693312645,0.8525,0.9180759364600692,760,3040,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 39,262.4745635688305,0.8551,0.9194608818966845,740,2960,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 40,260.67709693312645,0.8525,0.9180759364600691,760,3040,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2135c2135\n","< 42,253.07959678769112,0.8573,0.9206012669448888,800,3200,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 42,253.07959678769112,0.8573,0.9206012669448889,800,3200,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2138,2144c2138,2144\n","< 45,246.6618505418301,0.8483,0.915698589826546,860,3440,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 46,246.8277313411236,0.8411,0.9118282896892936,880,3520,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 47,245.0420173704624,0.8404,0.9113986770056652,900,3600,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 48,244.60509020090103,0.8367,0.9094934206964884,920,3680,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 49,240.1665237247944,0.8399,0.9111660005855756,940,3760,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 50,237.11458304524425,0.8405,0.9114619045218184,960,3840,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 0,723.3018891811371,0.0759,0.4880015632024168,0,0,0,0,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 45,246.66185054183006,0.8483,0.9156985898265461,860,3440,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 46,246.82773134112358,0.8411,0.9118282896892935,880,3520,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 47,245.04201737046242,0.8404,0.9113986770056653,900,3600,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 48,244.60509020090103,0.8367,0.9094934206964883,920,3680,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 49,240.1665237247944,0.8399,0.9111660005855755,940,3760,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 50,237.11458304524422,0.8405,0.9114619045218184,960,3840,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 0,723.3018891811371,0.0759,0.48800156320241683,0,0,0,0,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2152,2153c2152,2153\n","< 8,449.8672939538956,0.7394,0.8546072871331256,16,376,104,104,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 9,434.2588102817536,0.7484,0.8597296791332798,17,437,123,123,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 8,449.86729395389557,0.7394,0.8546072871331256,16,376,104,104,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 9,434.25881028175354,0.7484,0.8597296791332798,17,437,123,123,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2158c2158\n","< 14,376.6770158410072,0.7836,0.880229986651649,33,753,207,207,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 14,376.67701584100723,0.7836,0.880229986651649,33,753,207,207,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2182c2182\n","< 38,259.4630439281464,0.8135,0.8967487094456029,161,2321,559,559,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 38,259.46304392814636,0.8135,0.8967487094456029,161,2321,559,559,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2185,2186c2185,2186\n","< 41,245.42589008808136,0.8364,0.9092514818572448,174,2514,606,606,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 42,243.2836900651455,0.8323,0.9069465522227612,187,2587,613,613,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 41,245.42589008808136,0.8364,0.9092514818572447,174,2514,606,606,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 42,243.2836900651455,0.8323,0.9069465522227613,187,2587,613,613,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2189,2190c2189,2190\n","< 45,238.94716402888295,0.8277,0.9042378404386922,199,2779,661,661,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 46,235.1394891142845,0.8305,0.9057201704331296,206,2846,674,674,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 45,238.94716402888298,0.8277,0.9042378404386922,199,2779,661,661,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 46,235.13948911428452,0.8305,0.9057201704331295,206,2846,674,674,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2192,2193c2192,2193\n","< 48,226.6667333841324,0.8422,0.9122326814796846,214,2974,706,706,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 49,225.13779690861705,0.8383,0.9099545854227288,225,3045,715,715,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 48,226.66673338413239,0.8422,0.9122326814796846,214,2974,706,706,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 49,225.13779690861702,0.8383,0.9099545854227289,225,3045,715,715,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2202c2202\n","< 7,454.3972538709641,0.7348,0.8500788252941744,100,400,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 7,454.39725387096405,0.7348,0.8500788252941744,100,400,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2207,2208c2207,2208\n","< 12,386.4981502294541,0.7552,0.8617163563905162,200,800,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 13,376.4109058976173,0.7679,0.8691479751359446,220,880,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 12,386.49815022945404,0.7552,0.8617163563905162,200,800,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 13,376.41090589761734,0.7679,0.8691479751359446,220,880,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2210c2210\n","< 15,362.064438521862,0.7571,0.8633105988879498,260,1040,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 15,362.06443852186203,0.7571,0.8633105988879498,260,1040,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2230c2230\n","< 35,253.84199380874637,0.8094,0.8935251900687092,660,2640,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 35,253.84199380874634,0.8094,0.8935251900687092,660,2640,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2233c2233\n","< 38,246.75524297356608,0.8042,0.8912384140057764,720,2880,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 38,246.75524297356606,0.8042,0.8912384140057764,720,2880,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2238,2239c2238,2239\n","< 43,235.3775946497917,0.8079,0.8939435977981585,820,3280,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 44,233.9430386126041,0.806,0.892973438984564,840,3360,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 43,235.37759464979172,0.8079,0.8939435977981585,820,3280,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 44,233.94303861260414,0.806,0.892973438984564,840,3360,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2241,2245c2241,2245\n","< 46,229.5811780393124,0.804,0.8918369600735835,880,3520,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 47,227.8293636143208,0.8052,0.892500348827158,900,3600,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 48,224.2173063457012,0.8109,0.8957623155787898,920,3680,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 49,224.2610514760017,0.8071,0.8937978057039422,940,3760,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 50,222.1197462081909,0.8085,0.8943852752052488,960,3840,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 46,229.58117803931236,0.804,0.8918369600735835,880,3520,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 47,227.82936361432076,0.8052,0.892500348827158,900,3600,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 48,224.21730634570122,0.8109,0.8957623155787898,920,3680,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 49,224.26105147600174,0.8071,0.8937978057039422,940,3760,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 50,222.11974620819092,0.8085,0.8943852752052488,960,3840,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2252c2252\n","< 6,486.064092040062,0.6675,0.8144392770079186,240,160,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 6,486.06409204006195,0.6675,0.8144392770079186,240,160,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2256c2256\n","< 10,419.9743719696999,0.7264,0.8481003802848373,480,320,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 10,419.97437196969986,0.7264,0.8481003802848373,480,320,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2269,2270c2269,2270\n","< 23,300.4705502390861,0.8211,0.9021729670373608,1260,840,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 24,291.9334909915924,0.8332,0.908217428393752,1320,880,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 23,300.47055023908615,0.8211,0.9021729670373608,1260,840,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 24,291.9334909915924,0.8332,0.9082174283937521,1320,880,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2272c2272\n","< 26,281.582490503788,0.8377,0.910784458896704,1440,960,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 26,281.582490503788,0.8377,0.9107844588967039,1440,960,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2277,2278c2277,2278\n","< 31,255.20233181118965,0.8483,0.9164732078996228,1740,1160,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 32,251.1260502338409,0.8459,0.9152426533568871,1800,1200,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 31,255.20233181118965,0.8483,0.9164732078996229,1740,1160,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 32,251.12605023384094,0.8459,0.9152426533568873,1800,1200,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2281,2284c2281,2284\n","< 35,237.9519263803959,0.8513,0.9178761277809993,1980,1320,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 36,232.042176514864,0.8592,0.9222492527902024,2040,1360,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 37,230.07741445302963,0.8535,0.9193888206605716,2100,1400,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 38,224.38388049602509,0.8611,0.9232797397098736,2160,1440,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 35,237.9519263803959,0.8513,0.9178761277809991,1980,1320,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 36,232.04217651486397,0.8592,0.9222492527902025,2040,1360,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 37,230.07741445302963,0.8535,0.9193888206605717,2100,1400,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 38,224.38388049602509,0.8611,0.9232797397098735,2160,1440,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2286,2287c2286,2287\n","< 40,215.470700353384,0.8664,0.9260244955657828,2280,1520,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 41,213.78651028871536,0.8652,0.9254706928933116,2340,1560,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 40,215.47070035338402,0.8664,0.9260244955657827,2280,1520,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 41,213.78651028871536,0.8652,0.9254706928933117,2340,1560,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2290c2290\n","< 44,203.2443141937256,0.8728,0.9297845011100676,2520,1680,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 44,203.2443141937256,0.8728,0.9297845011100675,2520,1680,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2292,2294c2292,2294\n","< 46,201.22951340675357,0.8656,0.9259164173583546,2640,1760,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 47,197.5180557668209,0.8646,0.9253495071570248,2700,1800,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 48,191.1724861562252,0.8762,0.9314587504782,2760,1840,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 46,201.22951340675354,0.8656,0.9259164173583546,2640,1760,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 47,197.5180557668209,0.8646,0.9253495071570249,2700,1800,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 48,191.1724861562252,0.8762,0.9314587504781999,2760,1840,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2308c2308\n","< 11,393.7149311304093,0.81,0.893847292167686,540,360,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 11,393.71493113040924,0.81,0.893847292167686,540,360,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2312c2312\n","< 15,348.23098969459534,0.8341,0.9082329376726764,780,520,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 15,348.23098969459534,0.8341,0.9082329376726765,780,520,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2314,2316c2314,2316\n","< 17,333.51424193382263,0.8294,0.9058654866666423,900,600,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 18,326.4821729660034,0.8291,0.9055401373921996,960,640,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 19,318.2433761358261,0.8326,0.9075608209871068,1020,680,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 17,333.51424193382263,0.8294,0.9058654866666425,900,600,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 18,326.4821729660034,0.8291,0.9055401373921997,960,640,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 19,318.2433761358261,0.8326,0.9075608209871069,1020,680,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2319,2322c2319,2322\n","< 22,297.3303753733635,0.8337,0.9079425384991372,1200,800,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 23,291.89537209272385,0.8342,0.908351555199076,1260,840,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 24,287.3648977875709,0.8342,0.908656607240246,1320,880,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 25,278.42196276783943,0.8398,0.911626931166282,1380,920,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 22,297.3303753733635,0.8337,0.9079425384991371,1200,800,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 23,291.89537209272385,0.8342,0.9083515551990761,1260,840,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 24,287.36489778757095,0.8342,0.908656607240246,1320,880,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 25,278.42196276783943,0.8398,0.9116269311662819,1380,920,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2324c2324\n","< 27,265.28284108638763,0.8461,0.9149983973503112,1500,1000,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 27,265.28284108638763,0.8461,0.9149983973503113,1500,1000,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2329,2332c2329,2332\n","< 32,247.25564166903496,0.8416,0.9126084131059172,1800,1200,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 33,240.44449326395988,0.8472,0.9155657743468356,1860,1240,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 34,235.1797302365303,0.8531,0.9186788530335156,1920,1280,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 35,230.81036961078644,0.8534,0.9189138108151208,1980,1320,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 32,247.25564166903496,0.8416,0.9126084131059173,1800,1200,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 33,240.44449326395988,0.8472,0.9155657743468357,1860,1240,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 34,235.1797302365303,0.8531,0.9186788530335157,1920,1280,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 35,230.81036961078644,0.8534,0.9189138108151209,1980,1320,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2335,2338c2335,2338\n","< 38,217.69034805893895,0.8597,0.9224240268722962,2160,1440,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 39,213.2846719622612,0.8655,0.9255605192532348,2220,1480,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 40,209.7981553673744,0.8669,0.9262613726560356,2280,1520,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 41,205.85198307037356,0.8664,0.9260069228088108,2340,1560,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 38,217.69034805893898,0.8597,0.9224240268722962,2160,1440,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 39,213.2846719622612,0.8655,0.9255605192532347,2220,1480,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 40,209.79815536737442,0.8669,0.9262613726560357,2280,1520,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 41,205.85198307037354,0.8664,0.9260069228088108,2340,1560,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2344,2347c2344,2347\n","< 47,188.56957729160783,0.874,0.9303127506635214,2700,1800,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 48,186.67893221974373,0.8737,0.9302365271536188,2760,1840,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 49,187.86997531354427,0.8691,0.927668510560994,2820,1880,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 50,183.64511735737324,0.8742,0.9304294893099228,2880,1920,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 47,188.56957729160786,0.874,0.9303127506635214,2700,1800,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 48,186.67893221974373,0.8737,0.9302365271536189,2760,1840,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 49,187.86997531354427,0.8691,0.9276685105609941,2820,1880,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 50,183.64511735737324,0.8742,0.9304294893099229,2880,1920,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2356c2356\n","< 8,451.5955120325089,0.7002,0.8320817561421674,360,240,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 8,451.59551203250885,0.7002,0.8320817561421674,360,240,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2360c2360\n","< 12,396.6722737550736,0.745,0.8577314412478353,600,400,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 12,396.67227375507355,0.745,0.8577314412478353,600,400,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2364c2364\n","< 16,363.8994809389114,0.7458,0.8592963902926462,840,560,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 16,363.89948093891144,0.7458,0.8592963902926462,840,560,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2367c2367\n","< 19,339.6846717000008,0.7705,0.8731947344028844,1020,680,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 19,339.68467170000076,0.7705,0.8731947344028844,1020,680,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2385,2387c2385,2387\n","< 37,245.93800643086436,0.832,0.9065795443741484,2100,1400,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 38,240.3253899514675,0.843,0.912776348537432,2160,1440,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 39,238.1626465022564,0.8381,0.909866679097346,2220,1480,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 37,245.93800643086433,0.832,0.9065795443741484,2100,1400,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 38,240.3253899514675,0.843,0.9127763485374321,2160,1440,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 39,238.1626465022564,0.8381,0.9098666790973459,2220,1480,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2389c2389\n","< 41,232.16590982675552,0.8387,0.9104460701365228,2340,1560,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 41,232.16590982675552,0.8387,0.9104460701365229,2340,1560,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2391c2391\n","< 43,220.69568186998367,0.853,0.9181433337411128,2460,1640,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 43,220.69568186998367,0.853,0.9181433337411127,2460,1640,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2393,2396c2393,2396\n","< 45,215.11871257424357,0.8578,0.9208515678095754,2580,1720,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 46,214.54125481843948,0.8541,0.9189735810588844,2640,1760,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 47,214.1508355140686,0.8483,0.915926321465924,2700,1800,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 48,211.41058257222176,0.8508,0.917329861455738,2760,1840,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 45,215.11871257424355,0.8578,0.9208515678095754,2580,1720,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 46,214.54125481843948,0.8541,0.9189735810588843,2640,1760,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 47,214.1508355140686,0.8483,0.9159263214659239,2700,1800,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 48,211.41058257222176,0.8508,0.9173298614557381,2760,1840,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2398c2398\n","< 50,207.1079548001289,0.847,0.9153163421374928,2880,1920,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 50,207.10795480012894,0.847,0.9153163421374927,2880,1920,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2405c2405\n","< 6,494.7712043523789,0.6624,0.8127283522211435,240,160,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 6,494.77120435237885,0.6624,0.8127283522211435,240,160,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2409,2410c2409,2410\n","< 10,428.5028782486916,0.7026,0.836042124692832,480,320,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 11,415.8142688274384,0.7046,0.8370429125834346,540,360,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 10,428.50287824869156,0.7026,0.836042124692832,480,320,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 11,415.81426882743835,0.7046,0.8370429125834346,540,360,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2414c2414\n","< 15,380.3661194443703,0.7076,0.8397864914233505,780,520,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 15,380.36611944437027,0.7076,0.8397864914233505,780,520,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2416c2416\n","< 17,367.3403045535088,0.7096,0.8413912093742739,900,600,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 17,367.34030455350876,0.7096,0.8413912093742739,900,600,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2442c2442\n","< 43,270.4010561704636,0.7643,0.8707523025690163,2460,1640,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 43,270.40105617046356,0.7643,0.8707523025690163,2460,1640,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2445c2445\n","< 46,263.3893464803696,0.7721,0.8753365727521484,2640,1760,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 46,263.38934648036957,0.7721,0.8753365727521484,2640,1760,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2450c2450\n","< 0,720.5075643062592,0.0907,0.4955609720034449,0,0,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 0,720.5075643062592,0.0907,0.49556097200344496,0,0,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2458,2459c2458,2459\n","< 8,450.7256902456284,0.7019,0.8321113144008319,480,120,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 9,435.6903430819512,0.7075,0.8352187923093057,560,140,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 8,450.72569024562836,0.7019,0.8321113144008319,480,120,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 9,435.69034308195114,0.7075,0.8352187923093057,560,140,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2462c2462\n","< 12,395.0957366228104,0.7312,0.8487450245520943,800,200,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 12,395.09573662281036,0.7312,0.8487450245520943,800,200,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2472c2472\n","< 22,311.0523983240128,0.7875,0.881337787369944,1600,400,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 22,311.05239832401276,0.7875,0.881337787369944,1600,400,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2483,2484c2483,2484\n","< 33,252.97049641609192,0.8317,0.9050177903652116,2480,620,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 34,247.56950426101685,0.8357,0.9075240336255208,2560,640,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 33,252.97049641609192,0.8317,0.9050177903652115,2480,620,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 34,247.56950426101685,0.8357,0.9075240336255209,2560,640,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2486,2488c2486,2488\n","< 36,234.1063860654831,0.8564,0.9192105553205768,2720,680,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 37,234.7956215441227,0.8439,0.9121152024385524,2800,700,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 38,235.05471748113632,0.8367,0.9082802487768707,2880,720,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 36,234.1063860654831,0.8564,0.9192105553205769,2720,680,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 37,234.7956215441227,0.8439,0.9121152024385525,2800,700,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 38,235.05471748113632,0.8367,0.9082802487768709,2880,720,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2490,2492c2490,2492\n","< 40,218.5730001330376,0.8661,0.92479667663089,3040,760,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 41,217.3229517042637,0.863,0.92289471332592,3120,780,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 42,213.872572273016,0.8653,0.9241322665002908,3200,800,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 40,218.57300013303757,0.8661,0.9247966766308899,3040,760,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 41,217.3229517042637,0.863,0.9228947133259199,3120,780,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 42,213.87257227301598,0.8653,0.9241322665002907,3200,800,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2495c2495\n","< 45,206.9417543411255,0.8648,0.923869868060386,3440,860,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 45,206.9417543411255,0.8648,0.9238698680603861,3440,860,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2499c2499\n","< 49,200.447381913662,0.8634,0.9233878856385236,3760,940,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 49,200.44738191366196,0.8634,0.9233878856385237,3760,940,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2501c2501\n","< 0,725.7437784671783,0.091,0.4958879502629005,0,0,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 0,725.7437784671783,0.091,0.49588795026290056,0,0,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2512c2512\n","< 11,417.5299021005631,0.719,0.8443334698231046,720,180,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 11,417.52990210056305,0.719,0.8443334698231046,720,180,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2517c2517\n","< 16,368.4934049248696,0.7372,0.8560222000817184,1120,280,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 16,368.49340492486954,0.7372,0.8560222000817184,1120,280,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2522c2522\n","< 21,336.1670240759849,0.7616,0.869120246492009,1520,380,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 21,336.16702407598495,0.7616,0.869120246492009,1520,380,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2530c2530\n","< 29,290.4759519696236,0.805,0.8940531594344826,2160,540,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 29,290.47595196962357,0.805,0.8940531594344826,2160,540,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2544,2545c2544,2545\n","< 43,246.92350375652316,0.8191,0.9017922408231444,3280,820,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 44,247.10305216908452,0.8051,0.8946338801233825,3360,840,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 43,246.92350375652313,0.8191,0.9017922408231444,3280,820,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 44,247.10305216908455,0.8051,0.8946338801233825,3360,840,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2550,2551c2550,2551\n","< 49,239.48066467046735,0.8065,0.8956834001675199,3760,940,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 50,230.64030051231384,0.8277,0.9067837635762152,3840,960,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 49,239.48066467046738,0.8065,0.8956834001675199,3760,940,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 50,230.64030051231384,0.8277,0.9067837635762153,3840,960,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2559c2559\n","< 7,478.6542199850082,0.7696,0.8710218889489928,400,100,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 7,478.65421998500824,0.7696,0.8710218889489928,400,100,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2565c2565\n","< 13,394.0081642866135,0.8072,0.8926898098265479,880,220,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 13,394.00816428661346,0.8072,0.8926898098265479,880,220,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2569c2569\n","< 17,357.3845036029816,0.8118,0.8957346110964336,1200,300,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 17,357.38450360298157,0.8118,0.8957346110964336,1200,300,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2572c2572\n","< 20,335.4272755980492,0.8225,0.9017672266930664,1440,360,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 20,335.42727559804916,0.8225,0.9017672266930665,1440,360,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2574c2574\n","< 22,324.7310373783112,0.8147,0.8972955645317084,1600,400,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 22,324.73103737831116,0.8147,0.8972955645317084,1600,400,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2576,2577c2576,2577\n","< 24,310.9480834007263,0.8219,0.9016846860673108,1760,440,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 25,304.4730241894722,0.8269,0.9040905403517656,1840,460,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 24,310.9480834007263,0.8219,0.9016846860673109,1760,440,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 25,304.4730241894722,0.8269,0.9040905403517655,1840,460,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2579c2579\n","< 27,294.7354838848114,0.8279,0.9046234947943624,2000,500,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 27,294.7354838848114,0.8279,0.9046234947943625,2000,500,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2582c2582\n","< 30,277.39606589078903,0.8404,0.911901624837128,2240,560,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 30,277.39606589078903,0.8404,0.9119016248371281,2240,560,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2584,2585c2584,2585\n","< 32,273.61697351932526,0.829,0.9058057517298196,2400,600,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 33,265.6907884478569,0.8362,0.909837952705156,2480,620,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 32,273.61697351932526,0.829,0.9058057517298197,2400,600,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 33,265.6907884478569,0.8362,0.9098379527051559,2480,620,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2587,2589c2587,2589\n","< 35,252.96980300545687,0.8527,0.9187332422290598,2640,660,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 36,254.2839048802853,0.842,0.9130140876226294,2720,680,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 37,249.68365022540087,0.8441,0.9142317926539242,2800,700,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 35,252.96980300545692,0.8527,0.9187332422290598,2640,660,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 36,254.28390488028526,0.842,0.9130140876226294,2720,680,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 37,249.68365022540092,0.8441,0.9142317926539242,2800,700,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2591,2594c2591,2594\n","< 39,244.96334719657895,0.8426,0.913350481921797,2960,740,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 40,236.20896953344345,0.8594,0.9223552169323148,3040,760,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 41,233.3811264336109,0.8536,0.9192431821970912,3120,780,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 42,229.1699724197388,0.8587,0.9219036784423764,3200,800,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 39,244.96334719657898,0.8426,0.913350481921797,2960,740,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 40,236.20896953344345,0.8594,0.9223552169323149,3040,760,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 41,233.38112643361092,0.8536,0.9192431821970913,3120,780,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 42,229.16997241973877,0.8587,0.9219036784423764,3200,800,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2598,2600c2598,2600\n","< 46,216.73783627152443,0.8636,0.9246680129106496,3520,880,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 47,213.2961821258068,0.8661,0.926055790230704,3600,900,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 48,211.4906295239925,0.8682,0.927279250042248,3680,920,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 46,216.73783627152443,0.8636,0.9246680129106497,3520,880,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 47,213.2961821258068,0.8661,0.9260557902307041,3600,900,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 48,211.49062952399254,0.8682,0.927279250042248,3680,920,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2602c2602\n","< 50,208.3471714556217,0.8594,0.9226376532150204,3840,960,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 50,208.34717145562172,0.8594,0.9226376532150204,3840,960,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2617c2617\n","< 14,383.2437146902085,0.7674,0.8708258285615671,960,240,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 14,383.24371469020844,0.7674,0.8708258285615671,960,240,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2635,2636c2635,2636\n","< 32,295.0251738429069,0.7919,0.8866919175392824,2400,600,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 33,287.1819616556168,0.8067,0.894683096978938,2480,620,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 32,295.02517384290695,0.7919,0.8866919175392824,2400,600,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 33,287.18196165561676,0.8067,0.894683096978938,2480,620,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2638c2638\n","< 35,274.548240929842,0.8314,0.9079117087234624,2640,660,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 35,274.548240929842,0.8314,0.9079117087234625,2640,660,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2640,2642c2640,2642\n","< 37,267.91893833875656,0.8311,0.9076694575722336,2800,700,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 38,267.8668565154076,0.8204,0.9019805880135336,2880,720,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 39,263.48647448420525,0.8265,0.9051444803933452,2960,740,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 37,267.91893833875656,0.8311,0.9076694575722335,2800,700,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 38,267.86685651540756,0.8204,0.9019805880135335,2880,720,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 39,263.48647448420525,0.8265,0.9051444803933453,2960,740,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2646,2653c2646,2653\n","< 43,247.44625395536423,0.8473,0.9163150240170496,3280,820,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 44,247.10996970534325,0.836,0.9104012211751124,3360,840,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 45,244.0677667558193,0.8388,0.9120121076352264,3440,860,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 46,239.7701171934605,0.8462,0.9160866372280216,3520,880,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 47,235.949033677578,0.8505,0.918399392289819,3600,900,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 48,236.9174130558968,0.8436,0.9147503937810992,3680,920,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 49,237.07274729013443,0.834,0.9094640241125904,3760,940,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 50,233.28341421484947,0.8401,0.9125591081133272,3840,960,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 43,247.44625395536423,0.8473,0.9163150240170495,3280,820,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 44,247.10996970534325,0.836,0.9104012211751125,3360,840,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 45,244.06776675581932,0.8388,0.9120121076352264,3440,860,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 46,239.77011719346046,0.8462,0.9160866372280217,3520,880,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 47,235.94903367757797,0.8505,0.918399392289819,3600,900,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 48,236.91741305589676,0.8436,0.9147503937810992,3680,920,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 49,237.07274729013443,0.834,0.9094640241125903,3760,940,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 50,233.28341421484947,0.8401,0.9125591081133273,3840,960,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2664c2664\n","< 10,409.7762674093247,0.7286,0.8497853472319523,0,800,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 10,409.77626740932465,0.7286,0.8497853472319523,0,800,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2669c2669\n","< 15,359.6433264613152,0.7633,0.869622027269013,0,1300,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 15,359.64332646131516,0.7633,0.869622027269013,0,1300,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2686c2686\n","< 32,264.4064108431339,0.8328,0.908143498332,0,3000,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 32,264.4064108431339,0.8328,0.9081434983320001,0,3000,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2689,2690c2689,2690\n","< 35,252.42216992378235,0.8403,0.9122080696548692,0,3300,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 36,248.69933387637136,0.8432,0.9138409689264192,0,3400,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 35,252.42216992378235,0.8403,0.9122080696548691,0,3300,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 36,248.69933387637138,0.8432,0.9138409689264193,0,3400,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2692,2695c2692,2695\n","< 38,241.29089725017548,0.8496,0.9172465196004856,0,3600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 39,237.69651544094089,0.8522,0.9186665320115632,0,3700,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 40,234.16927403211596,0.8547,0.9200335359517244,0,3800,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 41,230.7750531733036,0.8565,0.9210104129210124,0,3900,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 38,241.29089725017548,0.8496,0.9172465196004855,0,3600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 39,237.69651544094086,0.8522,0.9186665320115631,0,3700,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 40,234.16927403211594,0.8547,0.9200335359517245,0,3800,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 41,230.7750531733036,0.8565,0.9210104129210125,0,3900,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2697,2701c2697,2701\n","< 43,224.4381481409073,0.8606,0.923223995056308,0,4100,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 44,221.24650838971135,0.8633,0.9247126781466896,0,4200,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 45,218.252520352602,0.8652,0.9257731766455668,0,4300,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 46,215.30499318242076,0.8675,0.9270155980715408,0,4400,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 47,212.48218113183972,0.8701,0.9284387672076686,0,4500,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 43,224.4381481409073,0.8606,0.9232239950563079,0,4100,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 44,221.24650838971138,0.8633,0.9247126781466897,0,4200,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 45,218.252520352602,0.8652,0.9257731766455667,0,4300,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 46,215.30499318242073,0.8675,0.9270155980715407,0,4400,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 47,212.48218113183975,0.8701,0.9284387672076686,0,4500,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2703,2704c2703,2704\n","< 49,207.08003348112103,0.8732,0.9300824631898684,0,4700,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 50,204.3473484516144,0.8749,0.931037595757379,0,4800,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 49,207.08003348112106,0.8732,0.9300824631898683,0,4700,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 50,204.34734845161438,0.8749,0.931037595757379,0,4800,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2719,2720c2719,2720\n","< 14,376.557203233242,0.8084,0.8932377877345206,240,960,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 15,367.1175818443298,0.8133,0.8960721698662493,260,1040,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 14,376.55720323324203,0.8084,0.8932377877345206,240,960,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 15,367.11758184432983,0.8133,0.8960721698662493,260,1040,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2724c2724\n","< 19,335.6358782052994,0.8297,0.9053484232289476,340,1360,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 19,335.6358782052994,0.8297,0.9053484232289477,340,1360,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2727,2728c2727,2728\n","< 22,315.8551693558693,0.8377,0.9099461093188972,400,1600,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 23,310.7202885746956,0.8386,0.910411138680696,420,1680,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 22,315.8551693558693,0.8377,0.9099461093188971,400,1600,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 23,310.7202885746956,0.8386,0.9104111386806959,420,1680,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2730c2730\n","< 25,298.9058918952942,0.846,0.9145079226322532,460,1840,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 25,298.9058918952942,0.846,0.9145079226322531,460,1840,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2737c2737\n","< 32,263.083487957716,0.8664,0.9258601550417104,600,2400,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 32,263.083487957716,0.8664,0.9258601550417105,600,2400,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2739,2748c2739,2748\n","< 34,254.54724285006523,0.8688,0.9271361102074048,640,2560,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 35,250.1228897869587,0.8721,0.9290297259116472,660,2640,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 36,245.4804942905903,0.8739,0.9300257531863404,680,2720,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 37,241.185830950737,0.8764,0.9314073547283052,700,2800,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 38,237.36316519975665,0.8772,0.9318773673684289,720,2880,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 39,232.99660819768903,0.879,0.9328231504126916,740,2960,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 40,228.91003787517548,0.8816,0.934185019693328,760,3040,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 41,225.25701847672465,0.8841,0.9355765858690936,780,3120,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 42,221.90948715806007,0.8851,0.9362030560378032,800,3200,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 43,218.353271573782,0.8872,0.9373468337946796,820,3280,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 34,254.54724285006523,0.8688,0.9271361102074049,640,2560,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 35,250.1228897869587,0.8721,0.9290297259116473,660,2640,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 36,245.4804942905903,0.8739,0.9300257531863405,680,2720,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 37,241.185830950737,0.8764,0.9314073547283053,700,2800,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 38,237.36316519975662,0.8772,0.9318773673684287,720,2880,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 39,232.99660819768906,0.879,0.9328231504126915,740,2960,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 40,228.91003787517548,0.8816,0.9341850196933281,760,3040,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 41,225.25701847672462,0.8841,0.9355765858690935,780,3120,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 42,221.90948715806007,0.8851,0.9362030560378031,800,3200,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 43,218.35327157378197,0.8872,0.9373468337946795,820,3280,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2750,2751c2750,2751\n","< 45,210.59587395191195,0.8919,0.9399584772505352,860,3440,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 46,207.33189406991005,0.8928,0.9404567726699692,880,3520,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 45,210.59587395191193,0.8919,0.9399584772505352,860,3440,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 46,207.33189406991005,0.8928,0.9404567726699691,880,3520,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2753c2753\n","< 48,200.5307119488716,0.8973,0.942948973295238,920,3680,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 48,200.5307119488716,0.8973,0.9429489732952379,920,3680,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2756c2756\n","< 0,724.9344787597656,0.0792,0.4893486471263527,0,0,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 0,724.9344787597656,0.0792,0.48934864712635273,0,0,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2762c2762\n","< 6,489.1385743618012,0.6945,0.8293965749558451,80,320,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 6,489.13857436180115,0.6945,0.8293965749558451,80,320,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2769c2769\n","< 13,394.8367738127709,0.7162,0.8425121864308777,220,880,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 13,394.83677381277084,0.7162,0.8425121864308777,220,880,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2792c2792\n","< 36,273.3804396092892,0.8019,0.8911451626331092,680,2720,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 36,273.38043960928917,0.8019,0.8911451626331092,680,2720,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2797,2807c2797,2807\n","< 41,254.60035234689715,0.8188,0.9003601979818985,780,3120,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 42,250.92162227630612,0.8219,0.9020654476162002,800,3200,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 43,247.04719656705856,0.8264,0.9046250563232944,820,3280,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 44,244.8364400565624,0.8249,0.9038490070406496,840,3360,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 45,241.8965944945812,0.8268,0.9048655421815726,860,3440,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 46,238.58338406682012,0.8302,0.9067075324931207,880,3520,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 47,235.79101994633675,0.831,0.9071842150121776,900,3600,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 48,233.08498215675357,0.8333,0.9083850152748342,920,3680,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 49,229.79066088795665,0.8361,0.9099125835268028,940,3760,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 50,226.95129188895223,0.8376,0.910695164735483,960,3840,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 0,726.9751834869385,0.0779,0.4881409357040656,0,0,0,0,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 41,254.60035234689713,0.8188,0.9003601979818985,780,3120,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 42,250.92162227630615,0.8219,0.9020654476162002,800,3200,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 43,247.04719656705856,0.8264,0.9046250563232945,820,3280,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 44,244.83644005656242,0.8249,0.9038490070406496,840,3360,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 45,241.89659449458122,0.8268,0.9048655421815726,860,3440,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 46,238.58338406682014,0.8302,0.9067075324931209,880,3520,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 47,235.79101994633675,0.831,0.9071842150121775,900,3600,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 48,233.08498215675354,0.8333,0.9083850152748342,920,3680,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 49,229.79066088795662,0.8361,0.9099125835268029,940,3760,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 50,226.95129188895226,0.8376,0.910695164735483,960,3840,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 0,726.9751834869385,0.0779,0.48814093570406564,0,0,0,0,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2833,2834c2833,2834\n","< 26,471.9460843801498,0.7105,0.8362730733130187,54,1494,426,426,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 27,453.4867601394653,0.7218,0.842801091718103,59,1559,441,441,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 26,471.94608438014984,0.7105,0.8362730733130187,54,1494,426,426,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 27,453.48676013946533,0.7218,0.842801091718103,59,1559,441,441,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2837c2837\n","< 30,410.2151008844376,0.739,0.8528557271181116,67,1747,493,493,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 30,410.21510088443756,0.739,0.8528557271181116,67,1747,493,493,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2839c2839\n","< 32,450.9123346805573,0.7162,0.8398878415437864,69,1869,531,531,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 32,450.91233468055725,0.7162,0.8398878415437864,69,1869,531,531,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2852,2854c2852,2854\n","< 45,433.0934015512466,0.7424,0.8547234236515333,99,2679,761,761,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 46,418.2539088726044,0.7515,0.8599455112492274,103,2743,777,777,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 47,403.664758503437,0.7665,0.8685097664694796,107,2807,793,793,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 45,433.09340155124664,0.7424,0.8547234236515333,99,2679,761,761,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 46,418.25390887260437,0.7515,0.8599455112492274,103,2743,777,777,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 47,403.66475850343704,0.7665,0.8685097664694796,107,2807,793,793,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2863c2863\n","< 5,510.1774941682816,0.6689,0.8152249608386812,60,240,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 5,510.17749416828156,0.6689,0.8152249608386812,60,240,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2867c2867\n","< 9,435.3764920830727,0.7036,0.8350720848874346,140,560,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 9,435.37649208307266,0.7036,0.8350720848874346,140,560,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2871c2871\n","< 13,388.432458281517,0.7299,0.8498187045179979,220,880,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 13,388.43245828151703,0.7299,0.8498187045179979,220,880,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2873c2873\n","< 15,369.2454379200936,0.7439,0.8577144845489537,260,1040,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 15,369.24543792009354,0.7439,0.8577144845489537,260,1040,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2892c2892\n","< 34,267.2603097558021,0.8024,0.8898561104548245,640,2560,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 34,267.26030975580215,0.8024,0.8898561104548245,640,2560,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2902c2902\n","< 44,229.71139279007912,0.8365,0.909075920938452,840,3360,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 44,229.71139279007912,0.8365,0.9090759209384519,840,3360,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2905c2905\n","< 47,221.3983378112316,0.8423,0.9122749250949284,900,3600,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 47,221.3983378112316,0.8423,0.9122749250949285,900,3600,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2907c2907\n","< 49,216.03092747926712,0.8463,0.9143793120208176,940,3760,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 49,216.03092747926712,0.8463,0.9143793120208175,940,3760,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2914,2915c2914,2915\n","< 5,497.6715879440308,0.6991,0.8323434944975612,180,120,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 6,473.3074178695679,0.7245,0.8466746325312581,240,160,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 5,497.67158794403076,0.6991,0.8323434944975612,180,120,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 6,473.30741786956787,0.7245,0.8466746325312581,240,160,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2917c2917\n","< 8,432.4729611873626,0.7559,0.864522863359752,360,240,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 8,432.47296118736267,0.7559,0.864522863359752,360,240,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2930,2933c2930,2933\n","< 21,303.30791968107224,0.8398,0.9117468484732764,1140,760,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 22,297.8687347173691,0.8355,0.9094935557688963,1200,800,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 23,292.96471774578094,0.8322,0.9080049157282516,1260,840,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 24,285.43651443719864,0.8433,0.9136266271564468,1320,880,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 21,303.30791968107224,0.8398,0.9117468484732763,1140,760,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 22,297.8687347173691,0.8355,0.9094935557688965,1200,800,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 23,292.96471774578094,0.8322,0.9080049157282517,1260,840,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 24,285.43651443719864,0.8433,0.9136266271564469,1320,880,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2935c2935\n","< 26,276.49690622091293,0.8459,0.9152173715452344,1440,960,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 26,276.49690622091293,0.8459,0.9152173715452345,1440,960,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2937,2938c2937,2938\n","< 28,267.27339792251587,0.8494,0.917452916579874,1560,1040,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 29,261.3245145082474,0.8542,0.919802208971472,1620,1080,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 28,267.27339792251587,0.8494,0.9174529165798739,1560,1040,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 29,261.3245145082474,0.8542,0.9198022089714721,1620,1080,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2941,2944c2941,2944\n","< 32,248.49040567874908,0.8621,0.9241907398234868,1800,1200,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 33,244.4324587583542,0.8615,0.9238858211529464,1860,1240,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 34,238.4966230392456,0.8651,0.925710957325408,1920,1280,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 35,235.28249287605288,0.8662,0.926337643280046,1980,1320,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 32,248.49040567874908,0.8621,0.9241907398234869,1800,1200,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 33,244.4324587583542,0.8615,0.9238858211529463,1860,1240,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 34,238.4966230392456,0.8651,0.9257109573254081,1920,1280,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 35,235.28249287605286,0.8662,0.926337643280046,1980,1320,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2947,2951c2947,2951\n","< 38,224.31372582912445,0.8719,0.9291709541222812,2160,1440,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 39,221.25765785574916,0.8713,0.928926297747808,2220,1480,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 40,216.14501482248303,0.8761,0.9314341883552174,2280,1520,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 41,212.91301488876343,0.8796,0.9334507600002188,2340,1560,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 42,209.1469256579876,0.88,0.9336699773965964,2400,1600,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 38,224.31372582912445,0.8719,0.9291709541222813,2160,1440,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 39,221.25765785574913,0.8713,0.928926297747808,2220,1480,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 40,216.14501482248306,0.8761,0.9314341883552174,2280,1520,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 41,212.91301488876343,0.8796,0.9334507600002189,2340,1560,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 42,209.1469256579876,0.88,0.9336699773965963,2400,1600,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2953,2955c2953,2955\n","< 44,203.31741097569463,0.8822,0.9349238066262564,2520,1680,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 45,199.83170729875565,0.8852,0.9364495510881408,2580,1720,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 46,197.01921305060387,0.8857,0.9367992676079552,2640,1760,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 44,203.31741097569466,0.8822,0.9349238066262563,2520,1680,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 45,199.83170729875565,0.8852,0.9364495510881407,2580,1720,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 46,197.01921305060387,0.8857,0.9367992676079553,2640,1760,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2957c2957\n","< 48,190.55282953381536,0.8889,0.9385599580774424,2760,1840,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 48,190.55282953381538,0.8889,0.9385599580774423,2760,1840,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2968c2968\n","< 8,456.1886858940125,0.6558,0.8069824408560565,360,240,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 8,456.18868589401245,0.6558,0.8069824408560565,360,240,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2996c2996\n","< 36,254.83424338698387,0.8333,0.9069559441612468,2040,1360,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 36,254.83424338698387,0.8333,0.9069559441612469,2040,1360,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2998c2998\n","< 38,247.2844348847866,0.8416,0.911726962583588,2160,1440,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 38,247.2844348847866,0.8416,0.9117269625835881,2160,1440,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3000,3004c3000,3004\n","< 40,238.15095695853236,0.8518,0.9173623953579496,2280,1520,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 41,236.33760744333267,0.8488,0.9157735266000068,2340,1560,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 42,230.1456653475761,0.8594,0.921599906143178,2400,1600,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 43,225.4568332731724,0.8648,0.9246129999842498,2460,1640,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 44,222.74384087324145,0.863,0.9237107812689104,2520,1680,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 40,238.15095695853233,0.8518,0.9173623953579497,2280,1520,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 41,236.33760744333267,0.8488,0.9157735266000067,2340,1560,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 42,230.14566534757614,0.8594,0.9215999061431781,2400,1600,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 43,225.45683327317238,0.8648,0.9246129999842498,2460,1640,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 44,222.74384087324142,0.863,0.9237107812689104,2520,1680,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3007,3009c3007,3009\n","< 47,214.37900093197825,0.8689,0.927018289981966,2700,1800,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 48,211.9833941459656,0.871,0.9282175813168934,2760,1840,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 49,209.66930004954335,0.871,0.9282439096122675,2820,1880,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 47,214.37900093197823,0.8689,0.9270182899819661,2700,1800,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 48,211.98339414596558,0.871,0.9282175813168934,2760,1840,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 49,209.66930004954338,0.871,0.9282439096122677,2820,1880,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3021c3021\n","< 10,422.0375992059708,0.7498,0.8611927494302153,480,320,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 10,422.03759920597076,0.7498,0.8611927494302153,480,320,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3023,3024c3023,3024\n","< 12,397.1688923835754,0.7608,0.8674235857480145,600,400,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 13,387.7125405669212,0.7627,0.8687616977129917,660,440,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 12,397.16889238357544,0.7608,0.8674235857480145,600,400,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 13,387.71254056692123,0.7627,0.8687616977129917,660,440,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3035,3038c3035,3038\n","< 24,303.5950782299042,0.825,0.9035852128544108,1320,880,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 25,298.1391867995262,0.828,0.90520100867734,1380,920,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 26,293.1508885025978,0.8311,0.9068174211833436,1440,960,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 27,288.5900303721428,0.8381,0.9104296141783256,1500,1000,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 24,303.5950782299042,0.825,0.9035852128544107,1320,880,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 25,298.1391867995262,0.828,0.9052010086773399,1380,920,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 26,293.1508885025978,0.8311,0.9068174211833437,1440,960,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 27,288.5900303721428,0.8381,0.9104296141783257,1500,1000,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3040c3040\n","< 29,279.7992003560066,0.8393,0.9113214366658124,1620,1080,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 29,279.7992003560066,0.8393,0.9113214366658123,1620,1080,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3042c3042\n","< 31,271.0390637218952,0.845,0.9142395109517912,1740,1160,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 31,271.0390637218952,0.845,0.9142395109517913,1740,1160,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3045,3047c3045,3047\n","< 34,256.45620611310005,0.8591,0.9221119069449676,1920,1280,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 35,250.68886587023732,0.8657,0.9258052317547618,1980,1320,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 36,246.56559118628505,0.8671,0.9265842767145674,2040,1360,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 34,256.45620611310005,0.8591,0.9221119069449675,1920,1280,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 35,250.68886587023735,0.8657,0.9258052317547618,1980,1320,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 36,246.56559118628502,0.8671,0.9265842767145674,2040,1360,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3051c3051\n","< 40,229.66933953762052,0.8823,0.9349214643304368,2280,1520,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 40,229.66933953762054,0.8823,0.9349214643304368,2280,1520,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3053,3055c3053,3055\n","< 42,221.549791097641,0.8868,0.9373178790993708,2400,1600,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 43,216.99446323513985,0.8888,0.93840811670157,2460,1640,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 44,214.45551592111588,0.8875,0.9377684846335492,2520,1680,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 42,221.549791097641,0.8868,0.9373178790993709,2400,1600,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 43,216.99446323513985,0.8888,0.9384081167015699,2460,1640,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 44,214.45551592111588,0.8875,0.9377684846335491,2520,1680,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3057,3059c3057,3059\n","< 46,207.9829855263233,0.8921,0.9402995137767212,2640,1760,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 47,205.86040675640103,0.8921,0.9403645985256708,2700,1800,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 48,202.99835523962972,0.8934,0.941066069458948,2760,1840,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 46,207.98298552632332,0.8921,0.9402995137767212,2640,1760,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 47,205.86040675640106,0.8921,0.9403645985256708,2700,1800,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 48,202.99835523962975,0.8934,0.9410660694589481,2760,1840,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3072c3072\n","< 10,420.5015367865562,0.7305,0.8476020246447987,480,320,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 10,420.50153678655624,0.7305,0.8476020246447987,480,320,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3074c3074\n","< 12,396.2282115221024,0.7379,0.8518128909084786,600,400,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 12,396.22821152210236,0.7379,0.8518128909084786,600,400,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3076,3078c3076,3078\n","< 14,376.34176248312,0.7463,0.856713494708407,720,480,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 15,366.0114096999168,0.7544,0.8612438719356422,780,520,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 16,360.6734574437141,0.7521,0.8600112341499756,840,560,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 14,376.34176248311996,0.7463,0.856713494708407,720,480,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 15,366.01140969991684,0.7544,0.8612438719356422,780,520,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 16,360.67345744371414,0.7521,0.8600112341499756,840,560,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3100,3102c3100,3102\n","< 38,249.4362006783485,0.8244,0.900788123861876,2160,1440,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 39,244.3028746843338,0.8293,0.9035246719054244,2220,1480,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 40,239.79127249121663,0.8373,0.908001126688994,2280,1520,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 38,249.43620067834854,0.8244,0.900788123861876,2160,1440,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 39,244.3028746843338,0.8293,0.9035246719054243,2220,1480,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 40,239.79127249121666,0.8373,0.908001126688994,2280,1520,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3104,3108c3104,3108\n","< 42,232.6723827421665,0.8409,0.91012403718447,2400,1600,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 43,228.6150487959385,0.8427,0.9110869382467224,2460,1640,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 44,226.8806943595409,0.8404,0.9099030005869742,2520,1680,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 45,223.1646513938904,0.8462,0.9133297069114754,2580,1720,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 46,219.9947116971016,0.85,0.9154339456092516,2640,1760,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 42,232.67238274216652,0.8409,0.9101240371844701,2400,1600,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 43,228.6150487959385,0.8427,0.9110869382467225,2460,1640,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 44,226.88069435954094,0.8404,0.9099030005869742,2520,1680,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 45,223.16465139389038,0.8462,0.9133297069114754,2580,1720,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 46,219.9947116971016,0.85,0.9154339456092517,2640,1760,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3111c3111\n","< 49,214.04767510294917,0.847,0.9138442315774172,2820,1880,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 49,214.04767510294914,0.847,0.9138442315774172,2820,1880,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3119,3122c3119,3122\n","< 6,488.5320672988892,0.6582,0.808537663489032,320,80,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 7,470.4792360067368,0.6635,0.8116286672923859,400,100,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 8,455.6851962804794,0.6623,0.8115041866398839,480,120,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 9,439.5317894816399,0.6699,0.8151278145387358,560,140,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 6,488.53206729888916,0.6582,0.808537663489032,320,80,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 7,470.47923600673676,0.6635,0.8116286672923859,400,100,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 8,455.68519628047943,0.6623,0.8115041866398839,480,120,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 9,439.53178948163986,0.6699,0.8151278145387358,560,140,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3141c3141\n","< 28,297.3810350298881,0.7596,0.8656323431532279,2080,520,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 28,297.38103502988815,0.7596,0.8656323431532279,2080,520,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3152c3152\n","< 39,252.37571322917935,0.807,0.8922554022752903,2960,740,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 39,252.37571322917938,0.807,0.8922554022752903,2960,740,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3155c3155\n","< 42,238.76470798254013,0.8295,0.9048577756369052,3200,800,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 42,238.76470798254013,0.8295,0.9048577756369053,3200,800,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3157c3157\n","< 44,233.00889983773232,0.8352,0.9084891944058584,3360,840,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 44,233.00889983773232,0.8352,0.9084891944058583,3360,840,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3159c3159\n","< 46,224.6932983994484,0.8427,0.9121893274674372,3520,880,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 46,224.6932983994484,0.8427,0.9121893274674371,3520,880,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3162,3163c3162,3163\n","< 49,222.86830511689183,0.8347,0.9082871472132028,3760,940,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 50,219.964287430048,0.8349,0.9082932151603272,3840,960,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 49,222.86830511689186,0.8347,0.9082871472132027,3760,940,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 50,219.964287430048,0.8349,0.9082932151603273,3840,960,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3171c3171\n","< 7,465.9066088199616,0.6718,0.8174051655217806,400,100,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 7,465.90660881996155,0.6718,0.8174051655217806,400,100,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3191c3191\n","< 27,297.5293982625008,0.7732,0.8752480011741592,2000,500,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 27,297.52939826250076,0.7732,0.8752480011741592,2000,500,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3197c3197\n","< 33,273.98824685812,0.7821,0.880600431902413,2480,620,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 33,273.98824685811996,0.7821,0.880600431902413,2480,620,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3202,3203c3202,3203\n","< 38,257.692189604044,0.8053,0.8935534971898367,2880,720,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 39,252.25933057069776,0.813,0.8974115607063698,2960,740,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 38,257.69218960404396,0.8053,0.8935534971898367,2880,720,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 39,252.25933057069778,0.813,0.8974115607063698,2960,740,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3205c3205\n","< 41,246.79932326078412,0.8088,0.8953570280591198,3120,780,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 41,246.79932326078415,0.8088,0.8953570280591198,3120,780,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3209,3215c3209,3215\n","< 45,231.29020339250565,0.8293,0.9066427086540476,3440,860,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 46,227.47763016819957,0.8333,0.9089311463475618,3520,880,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 47,225.26623794436452,0.8342,0.9093718426383302,3600,900,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 48,223.44389975070956,0.8367,0.9106962925799132,3680,920,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 49,222.2198398709297,0.8361,0.9102591285519204,3760,940,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 50,217.47179433703425,0.8415,0.913112889183932,3840,960,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 0,725.5451519489288,0.0963,0.4985993282876295,0,0,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 45,231.29020339250565,0.8293,0.9066427086540475,3440,860,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 46,227.47763016819954,0.8333,0.9089311463475618,3520,880,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 47,225.26623794436455,0.8342,0.9093718426383302,3600,900,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 48,223.44389975070953,0.8367,0.9106962925799131,3680,920,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 49,222.21983987092972,0.8361,0.9102591285519205,3760,940,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 50,217.47179433703423,0.8415,0.9131128891839321,3840,960,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 0,725.5451519489288,0.0963,0.49859932828762954,0,0,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3224c3224\n","< 9,453.2079526185989,0.6798,0.8224873350286751,560,140,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 9,453.20795261859894,0.6798,0.8224873350286751,560,140,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3227,3230c3227,3230\n","< 12,410.5671246051788,0.7051,0.8365441771919515,800,200,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 13,398.7340577244759,0.7162,0.842757094350931,880,220,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 14,387.0741292238236,0.725,0.8476197508389648,960,240,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 15,377.8843209147453,0.7359,0.8533058825849482,1040,260,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 12,410.56712460517883,0.7051,0.8365441771919515,800,200,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 13,398.73405772447586,0.7162,0.842757094350931,880,220,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 14,387.07412922382355,0.725,0.8476197508389648,960,240,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 15,377.88432091474533,0.7359,0.8533058825849482,1040,260,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3232c3232\n","< 17,363.1918441653252,0.7378,0.8548819964454133,1200,300,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 17,363.19184416532516,0.7378,0.8548819964454133,1200,300,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3258c3258\n","< 43,248.63837122917172,0.8192,0.8989364127304544,3280,820,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 43,248.63837122917175,0.8192,0.8989364127304544,3280,820,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3262,3265c3262,3265\n","< 47,238.18840524554253,0.8255,0.9025573837034132,3600,900,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 48,235.78394639492035,0.8276,0.9037352858075124,3680,920,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 49,235.0485560297966,0.823,0.9012192960450116,3760,940,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 50,232.55260637402532,0.8262,0.9027526126987062,3840,960,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 47,238.18840524554253,0.8255,0.9025573837034131,3600,900,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 48,235.78394639492035,0.8276,0.9037352858075123,3680,920,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 49,235.0485560297966,0.823,0.9012192960450115,3760,940,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 50,232.55260637402534,0.8262,0.9027526126987062,3840,960,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3276c3276\n","< 10,441.4606783986092,0.5755,0.7654128571558316,640,160,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 10,441.46067839860916,0.5755,0.7654128571558316,640,160,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3285c3285\n","< 19,363.5480861663818,0.6292,0.7955257391746986,1360,340,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 19,363.54808616638184,0.6292,0.7955257391746986,1360,340,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3302c3302\n","< 36,281.8745702505112,0.7299,0.8500052883790294,2720,680,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 36,281.87457025051117,0.7299,0.8500052883790294,2720,680,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3311,3312c3311,3312\n","< 45,243.56495159864423,0.7888,0.8823753960534578,3440,860,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 46,238.3138935863972,0.794,0.8855273517921786,3520,880,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 45,243.56495159864426,0.7888,0.8823753960534578,3440,860,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 46,238.31389358639717,0.794,0.8855273517921786,3520,880,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3325c3325\n","< 8,443.1061298847199,0.7219,0.8441853518951774,0,600,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 8,443.10612988471985,0.7219,0.8441853518951774,0,600,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3328c3328\n","< 11,401.4963066577912,0.7412,0.855069104109738,0,900,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 11,401.49630665779114,0.7412,0.855069104109738,0,900,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3348,3349c3348,3349\n","< 31,264.3010641336441,0.8283,0.904071874010682,0,2900,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 32,260.22051841020584,0.8305,0.9052779916799264,0,3000,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 31,264.3010641336441,0.8283,0.9040718740106819,0,2900,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 32,260.22051841020584,0.8305,0.9052779916799263,0,3000,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3351c3351\n","< 34,252.2303813695908,0.8373,0.9090642275105318,0,3200,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 34,252.23038136959076,0.8373,0.9090642275105318,0,3200,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3354c3354\n","< 37,241.20464000105855,0.8422,0.9118228977777988,0,3500,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 37,241.20464000105858,0.8422,0.9118228977777989,0,3500,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3357c3357\n","< 40,231.0927201509476,0.8458,0.9138208306632184,0,3800,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 40,231.09272015094757,0.8458,0.9138208306632183,0,3800,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3359,3362c3359,3362\n","< 42,224.80339178442955,0.8492,0.9157940691372656,0,4000,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 43,221.75889617204663,0.8505,0.916546278992984,0,4100,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 44,218.63643902540207,0.8517,0.9172232824814192,0,4200,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 45,215.73153221607208,0.8534,0.9181989672140636,0,4300,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 42,224.80339178442955,0.8492,0.9157940691372657,0,4000,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 43,221.75889617204666,0.8505,0.9165462789929839,0,4100,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 44,218.63643902540207,0.8517,0.9172232824814193,0,4200,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 45,215.73153221607208,0.8534,0.9181989672140635,0,4300,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3364,3365c3364,3365\n","< 47,209.98356208205223,0.8559,0.9196045909477564,0,4500,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 48,207.2218678593636,0.8571,0.9202963664807856,0,4600,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 47,209.98356208205223,0.8559,0.9196045909477565,0,4500,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 48,207.22186785936356,0.8571,0.9202963664807857,0,4600,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3398,3403c3398,3403\n","< 30,265.9764662086964,0.8226,0.9017816284287216,560,2240,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 31,260.6611688733101,0.8269,0.9042506319688388,580,2320,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 32,255.83651280403137,0.8308,0.9063636220175264,600,2400,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 33,250.83238768577576,0.8347,0.908466652998512,620,2480,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 34,246.65011909604075,0.8383,0.9104646323367184,640,2560,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 35,242.1599770188332,0.8405,0.9117387809751888,660,2640,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 30,265.97646620869637,0.8226,0.9017816284287216,560,2240,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 31,260.6611688733101,0.8269,0.9042506319688387,580,2320,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 32,255.83651280403137,0.8308,0.9063636220175265,600,2400,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 33,250.83238768577576,0.8347,0.9084666529985119,620,2480,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 34,246.65011909604073,0.8383,0.9104646323367185,640,2560,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 35,242.15997701883316,0.8405,0.9117387809751889,660,2640,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3405c3405\n","< 37,233.0298919081688,0.8496,0.916702583342604,700,2800,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 37,233.0298919081688,0.8496,0.9167025833426041,700,2800,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3407,3408c3407,3408\n","< 39,225.1084311008453,0.8567,0.9205373150046344,740,2960,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 40,221.0886451005936,0.8608,0.922757395828782,760,3040,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 39,225.10843110084534,0.8567,0.9205373150046345,740,2960,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 40,221.08864510059357,0.8608,0.922757395828782,760,3040,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3410c3410\n","< 42,213.69420504570007,0.8666,0.9260603108134275,800,3200,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 42,213.69420504570007,0.8666,0.9260603108134277,800,3200,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3413,3415c3413,3415\n","< 45,202.11118254065516,0.8769,0.9316776167886742,860,3440,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 46,198.7172770500183,0.8801,0.9335212569443476,880,3520,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 47,195.950136333704,0.8814,0.934206285148486,900,3600,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 45,202.11118254065514,0.8769,0.9316776167886742,860,3440,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 46,198.7172770500183,0.8801,0.9335212569443477,880,3520,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 47,195.950136333704,0.8814,0.9342062851484861,900,3600,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3417,3418c3417,3418\n","< 49,188.37894569337368,0.8876,0.9375886828210652,940,3760,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 50,185.5671923607588,0.8892,0.938435520665322,960,3840,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 49,188.37894569337368,0.8876,0.9375886828210651,940,3760,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 50,185.56719236075878,0.8892,0.938435520665322,960,3840,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3431c3431\n","< 12,394.4696451425552,0.7568,0.8658844596795061,200,800,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 12,394.46964514255524,0.7568,0.8658844596795061,200,800,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3433c3433\n","< 14,375.9729202985764,0.7619,0.868889179427112,240,960,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 14,375.97292029857635,0.7619,0.868889179427112,240,960,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3440c3440\n","< 21,325.9667015075684,0.7867,0.8826263797359071,380,1520,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 21,325.96670150756836,0.7867,0.8826263797359071,380,1520,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3442c3442\n","< 23,314.936009824276,0.7961,0.8878123685396124,420,1680,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 23,314.93600982427597,0.7961,0.8878123685396124,420,1680,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3450c3450\n","< 31,278.7213610708713,0.8143,0.8977669980605805,580,2320,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 31,278.72136107087135,0.8143,0.8977669980605805,580,2320,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3455,3458c3455,3458\n","< 36,257.8693657517433,0.8332,0.9082406816375757,680,2720,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 37,254.249857455492,0.8347,0.9090980504041888,700,2800,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 38,251.3606588840485,0.8346,0.9091060237957008,720,2880,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 39,247.3432896733284,0.839,0.9114298551444144,740,2960,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 36,257.8693657517433,0.8332,0.9082406816375755,680,2720,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 37,254.24985745549202,0.8347,0.9090980504041889,700,2800,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 38,251.36065888404846,0.8346,0.9091060237957007,720,2880,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 39,247.3432896733284,0.839,0.9114298551444143,740,2960,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3460c3460\n","< 41,239.8960407674313,0.8475,0.9161105722085982,780,3120,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 41,239.89604076743126,0.8475,0.9161105722085982,780,3120,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3463,3464c3463,3464\n","< 44,231.25733017921448,0.8484,0.916686341570948,840,3360,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 45,228.41780698299408,0.8507,0.9179226539025792,860,3440,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 44,231.25733017921448,0.8484,0.9166863415709479,840,3360,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 45,228.41780698299408,0.8507,0.9179226539025791,860,3440,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3466,3467c3466,3467\n","< 47,222.55601036548612,0.8558,0.920702404294856,900,3600,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 48,219.55760815739632,0.8593,0.9225799398232636,920,3680,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 47,222.55601036548615,0.8558,0.920702404294856,900,3600,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 48,219.55760815739632,0.8593,0.9225799398232635,920,3680,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3469c3469\n","< 50,215.04763808846477,0.8609,0.9234410694139162,960,3840,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 50,215.04763808846474,0.8609,0.9234410694139162,960,3840,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3528c3528\n","< 7,466.8959420919418,0.6111,0.784492135565269,100,400,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 7,466.89594209194183,0.6111,0.784492135565269,100,400,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3533c3533\n","< 12,402.3251039385796,0.6485,0.8053489771703457,200,800,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 12,402.32510393857956,0.6485,0.8053489771703457,200,800,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3535c3535\n","< 14,383.9039501547813,0.6645,0.8143660280959251,240,960,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 14,383.90395015478134,0.6645,0.8143660280959251,240,960,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3538c3538\n","< 17,360.3859773278237,0.687,0.8266463297233168,300,1200,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 17,360.38597732782364,0.687,0.8266463297233168,300,1200,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3543c3543\n","< 22,330.1188524961472,0.7088,0.8387775074165201,400,1600,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 22,330.11885249614716,0.7088,0.8387775074165201,400,1600,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3551c3551\n","< 30,294.657760322094,0.7387,0.8554318713002298,560,2240,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 30,294.65776032209396,0.7387,0.8554318713002298,560,2240,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3553c3553\n","< 32,286.0442064404488,0.7532,0.8633910906756104,600,2400,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 32,286.04420644044876,0.7532,0.8633910906756104,600,2400,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3564c3564\n","< 43,242.5406409800053,0.8105,0.8951346273169005,820,3280,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 43,242.54064098000526,0.8105,0.8951346273169005,820,3280,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3567c3567\n","< 46,234.4080401659012,0.8171,0.8987746666530914,880,3520,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 46,234.40804016590118,0.8171,0.8987746666530914,880,3520,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3569,3570c3569,3570\n","< 48,228.7944403588772,0.8231,0.902142896407268,920,3680,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 49,225.0133508741856,0.8288,0.905260017116854,940,3760,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 48,228.79444035887718,0.8231,0.902142896407268,920,3680,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 49,225.01335087418556,0.8288,0.9052600171168541,940,3760,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3579c3579\n","< 7,453.81882417202,0.6941,0.8275282056304134,300,200,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 7,453.81882417201996,0.6941,0.8275282056304134,300,200,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3590c3590\n","< 18,334.4841238856316,0.7828,0.8772559854719484,960,640,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 18,334.48412388563156,0.7828,0.8772559854719484,960,640,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3592c3592\n","< 20,320.370779812336,0.7954,0.8844001454201725,1080,720,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 20,320.37077981233597,0.7954,0.8844001454201725,1080,720,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3601,3603c3601,3603\n","< 29,274.85263055562973,0.8279,0.9034387730521588,1620,1080,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 30,270.4678471684456,0.8332,0.9063443463937152,1680,1120,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 31,265.9534642100334,0.8343,0.9068230550966768,1740,1160,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 29,274.85263055562973,0.8279,0.9034387730521587,1620,1080,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 30,270.4678471684456,0.8332,0.9063443463937151,1680,1120,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 31,265.9534642100334,0.8343,0.9068230550966769,1740,1160,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3605,3606c3605,3606\n","< 33,258.341726154089,0.8401,0.9105482088962116,1860,1240,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 34,252.61163648962972,0.8444,0.9128315541748856,1920,1280,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 33,258.341726154089,0.8401,0.9105482088962115,1860,1240,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 34,252.61163648962975,0.8444,0.9128315541748855,1920,1280,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3608,3611c3608,3611\n","< 36,244.67796418070796,0.8509,0.9161937284152634,2040,1360,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 37,242.9796835780144,0.8477,0.9145581400336102,2100,1400,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 38,238.4493313133717,0.8512,0.9163278920037344,2160,1440,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 39,235.5397346317768,0.8509,0.9161115611006628,2220,1480,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 36,244.67796418070793,0.8509,0.9161937284152634,2040,1360,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 37,242.97968357801437,0.8477,0.9145581400336102,2100,1400,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 38,238.44933131337166,0.8512,0.9163278920037344,2160,1440,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 39,235.5397346317768,0.8509,0.9161115611006629,2220,1480,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3613,3614c3613,3614\n","< 41,227.7003694176674,0.8579,0.9201469557679076,2340,1560,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 42,223.5915659666061,0.8604,0.9215853479012666,2400,1600,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 41,227.7003694176674,0.8579,0.9201469557679077,2340,1560,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 42,223.59156596660614,0.8604,0.9215853479012666,2400,1600,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3616c3616\n","< 44,219.2187566459179,0.8612,0.9221542767031644,2520,1680,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 44,219.2187566459179,0.8612,0.9221542767031645,2520,1680,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3618c3618\n","< 46,213.90101405978203,0.8629,0.9230806366797956,2640,1760,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 46,213.90101405978203,0.8629,0.9230806366797957,2640,1760,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3620,3623c3620,3623\n","< 48,206.6853285133839,0.8677,0.9257949038824064,2760,1840,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 49,203.6621951162815,0.8709,0.9275633362541812,2820,1880,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 50,201.6699114739895,0.8698,0.9269266957261384,2880,1920,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 0,720.0564479827881,0.0874,0.4938890465671021,0,0,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 48,206.68532851338387,0.8677,0.9257949038824063,2760,1840,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 49,203.6621951162815,0.8709,0.9275633362541811,2820,1880,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 50,201.6699114739895,0.8698,0.9269266957261385,2880,1920,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 0,720.0564479827881,0.0874,0.49388904656710214,0,0,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3635,3636c3635,3636\n","< 12,396.7420991659165,0.713,0.840459175358258,600,400,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 13,388.4295881390572,0.7111,0.8398333495641612,660,440,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 12,396.74209916591644,0.713,0.840459175358258,600,400,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 13,388.42958813905716,0.7111,0.8398333495641612,660,440,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3649c3649\n","< 26,304.0127221345901,0.7715,0.8730112008736526,1440,960,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 26,304.01272213459015,0.7715,0.8730112008736526,1440,960,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3662,3663c3662,3663\n","< 39,250.0203868150711,0.8238,0.9016323367034116,2220,1480,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 40,246.1146375834942,0.8313,0.9057829518256688,2280,1520,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 39,250.0203868150711,0.8238,0.9016323367034115,2220,1480,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 40,246.1146375834942,0.8313,0.9057829518256689,2280,1520,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3666c3666\n","< 43,234.5338318645954,0.8422,0.9119599993959,2460,1640,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 43,234.5338318645954,0.8422,0.9119599993959001,2460,1640,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3671c3671\n","< 48,220.85131216049197,0.8555,0.9197244700195664,2760,1840,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 48,220.85131216049194,0.8555,0.9197244700195665,2760,1840,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3674c3674\n","< 0,725.4967374801636,0.0385,0.4659180204813768,0,0,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 0,725.4967374801636,0.0385,0.46591802048137687,0,0,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3681c3681\n","< 7,462.5752565860748,0.691,0.8275372002430071,300,200,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 7,462.57525658607483,0.691,0.8275372002430071,300,200,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3683c3683\n","< 9,428.7119454145432,0.7004,0.8330615665039087,420,280,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 9,428.71194541454315,0.7004,0.8330615665039087,420,280,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3699c3699\n","< 25,293.7140255570412,0.7998,0.8892774349972538,1380,920,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 25,293.71402555704117,0.7998,0.8892774349972538,1380,920,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3706,3707c3706,3707\n","< 32,264.8129105269909,0.8213,0.9010741314586036,1800,1200,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 33,259.18173587322235,0.8245,0.9029164646382148,1860,1240,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 32,264.8129105269909,0.8213,0.9010741314586037,1800,1200,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 33,259.18173587322235,0.8245,0.9029164646382147,1860,1240,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3709c3709\n","< 35,248.84621760249135,0.8401,0.911459927112449,1980,1320,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 35,248.84621760249138,0.8401,0.911459927112449,1980,1320,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3711,3718c3711,3718\n","< 37,239.7166557312012,0.8459,0.9145566372891284,2100,1400,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 38,237.70255702733996,0.8442,0.9137525502314388,2160,1440,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 39,233.13906767964363,0.85,0.9169049055868403,2220,1480,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 40,229.14188358187675,0.8552,0.9197532473393628,2280,1520,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 41,226.9674966335297,0.8515,0.9177374037678694,2340,1560,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 42,221.87195828557012,0.8612,0.923024634860692,2400,1600,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 43,217.12089294195172,0.862,0.923513423836354,2460,1640,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 44,214.53449940681455,0.8603,0.9226598896350728,2520,1680,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 37,239.71665573120117,0.8459,0.9145566372891283,2100,1400,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 38,237.70255702733994,0.8442,0.9137525502314388,2160,1440,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 39,233.13906767964363,0.85,0.9169049055868405,2220,1480,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 40,229.14188358187675,0.8552,0.9197532473393627,2280,1520,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 41,226.96749663352966,0.8515,0.9177374037678694,2340,1560,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 42,221.87195828557014,0.8612,0.9230246348606921,2400,1600,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 43,217.12089294195175,0.862,0.923513423836354,2460,1640,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 44,214.53449940681458,0.8603,0.9226598896350728,2520,1680,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3720,3723c3720,3723\n","< 46,208.11404445767403,0.8664,0.925967360248444,2640,1760,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 47,206.52480885386467,0.8648,0.9251855555103812,2700,1800,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 48,203.77267786860463,0.8681,0.9269639578725378,2760,1840,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 49,200.6248816549778,0.8693,0.9276207961975536,2820,1880,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 46,208.11404445767403,0.8664,0.9259673602484441,2640,1760,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 47,206.52480885386467,0.8648,0.9251855555103813,2700,1800,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 48,203.77267786860466,0.8681,0.9269639578725378,2760,1840,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 49,200.6248816549778,0.8693,0.9276207961975537,2820,1880,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3731,3732c3731,3732\n","< 6,488.5392855405808,0.6724,0.8176580030559508,240,160,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 7,468.0936297178269,0.6763,0.8196169021507856,300,200,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 6,488.53928554058075,0.6724,0.8176580030559508,240,160,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 7,468.09362971782684,0.6763,0.8196169021507856,300,200,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3739c3739\n","< 14,375.6583583950997,0.7228,0.8460200294161174,720,480,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 14,375.65835839509964,0.7228,0.8460200294161174,720,480,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3760c3760\n","< 35,256.3972774744034,0.8311,0.906146841067944,1980,1320,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 35,256.3972774744034,0.8311,0.9061468410679439,1980,1320,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3764,3766c3764,3766\n","< 39,242.1629047095776,0.8401,0.9110678296018933,2220,1480,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 40,238.0846864581108,0.8444,0.9133690285922696,2280,1520,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 41,236.74345433712008,0.8403,0.9111858149851396,2340,1560,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 39,242.16290470957756,0.8401,0.9110678296018933,2220,1480,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 40,238.0846864581108,0.8444,0.9133690285922695,2280,1520,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 41,236.74345433712006,0.8403,0.9111858149851397,2340,1560,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3769,3775c3769,3775\n","< 44,224.81984627246857,0.8522,0.9178120981602892,2520,1680,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 45,222.2502551972866,0.8562,0.919998429948236,2580,1720,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 46,219.14552599191663,0.859,0.92150974480897,2640,1760,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 47,218.09234192967412,0.856,0.9198982154229872,2700,1800,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 48,214.88163194060328,0.8594,0.9217962182895448,2760,1840,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 49,212.4153855741024,0.8585,0.9213046478322172,2820,1880,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 50,210.80777180194852,0.8586,0.9213560511424368,2880,1920,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 44,224.81984627246857,0.8522,0.9178120981602893,2520,1680,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 45,222.2502551972866,0.8562,0.9199984299482361,2580,1720,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 46,219.14552599191666,0.859,0.9215097448089699,2640,1760,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 47,218.09234192967415,0.856,0.9198982154229871,2700,1800,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 48,214.88163194060326,0.8594,0.9217962182895449,2760,1840,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 49,212.4153855741024,0.8585,0.9213046478322171,2820,1880,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 50,210.80777180194855,0.8586,0.9213560511424369,2880,1920,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3781c3781\n","< 5,505.8024921417236,0.6308,0.7962748471754806,240,60,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 5,505.80249214172363,0.6308,0.7962748471754806,240,60,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3788c3788\n","< 12,390.6606061458588,0.708,0.8385146758973885,800,200,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 12,390.66060614585876,0.708,0.8385146758973885,800,200,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3816c3816\n","< 40,249.18740144371984,0.8197,0.901938781664537,3040,760,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 40,249.18740144371986,0.8197,0.901938781664537,3040,760,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3819c3819\n","< 43,238.18391066789627,0.8339,0.9098929131148472,3280,820,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 43,238.18391066789627,0.8339,0.9098929131148473,3280,820,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3821c3821\n","< 45,233.8205818533897,0.8351,0.910507514987073,3440,860,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 45,233.82058185338974,0.8351,0.910507514987073,3440,860,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3823,3826c3823,3826\n","< 47,229.68685549497604,0.8352,0.9103052629808132,3600,900,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 48,229.30001565814015,0.8306,0.907958807325573,3680,920,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 49,228.53931483626369,0.8262,0.9058751170974044,3760,940,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 50,226.1753381192684,0.8266,0.905971659050904,3840,960,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 47,229.68685549497604,0.8352,0.9103052629808133,3600,900,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 48,229.30001565814018,0.8306,0.907958807325573,3680,920,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 49,228.53931483626366,0.8262,0.9058751170974044,3760,940,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 50,226.17533811926842,0.8266,0.905971659050904,3840,960,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3833c3833\n","< 6,484.2838757038117,0.6016,0.7789237105433494,320,80,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 6,484.28387570381165,0.6016,0.7789237105433494,320,80,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3835c3835\n","< 8,449.2537927627564,0.6088,0.7838020861240498,480,120,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 8,449.25379276275635,0.6088,0.7838020861240498,480,120,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3856c3856\n","< 29,278.1755751371384,0.7943,0.885362029255921,2160,540,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 29,278.17557513713837,0.7943,0.885362029255921,2160,540,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3863,3865c3863,3865\n","< 36,250.60138607025144,0.8048,0.8907220874237586,2720,680,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 37,243.22921642661092,0.8195,0.898893547868313,2800,700,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 38,240.8109457194805,0.8251,0.90200012216189,2880,720,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 36,250.60138607025146,0.8048,0.8907220874237586,2720,680,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 37,243.22921642661095,0.8195,0.898893547868313,2800,700,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 38,240.81094571948051,0.8251,0.9020001221618899,2880,720,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3868,3870c3868,3870\n","< 41,230.6176492869854,0.8247,0.901812796338682,3120,780,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 42,226.09037619829175,0.8315,0.9054932540999256,3200,800,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 43,219.50869050621984,0.8389,0.9097662665858012,3280,820,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 41,230.6176492869854,0.8247,0.9018127963386819,3120,780,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 42,226.09037619829178,0.8315,0.9054932540999256,3200,800,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 43,219.50869050621986,0.8389,0.9097662665858011,3280,820,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3872,3877c3872,3877\n","< 45,214.047621011734,0.8389,0.9097763061211768,3440,860,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 46,208.49741587042809,0.8482,0.9150373151306472,3520,880,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 47,205.97101205587387,0.8493,0.9156714605757016,3600,900,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 48,201.75432835519317,0.8554,0.9190473049784448,3680,920,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 49,199.63354544341564,0.855,0.9188906178269683,3760,940,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 50,197.4526764601469,0.8536,0.9178411396845528,3840,960,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 45,214.047621011734,0.8389,0.9097763061211769,3440,860,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 46,208.49741587042809,0.8482,0.9150373151306471,3520,880,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 47,205.97101205587387,0.8493,0.9156714605757017,3600,900,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 48,201.75432835519314,0.8554,0.9190473049784449,3680,920,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 49,199.63354544341564,0.855,0.9188906178269685,3760,940,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 50,197.4526764601469,0.8536,0.9178411396845529,3840,960,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3883c3883\n","< 5,503.0306415557861,0.7432,0.8566369980909145,240,60,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 5,503.03064155578613,0.7432,0.8566369980909145,240,60,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3887,3888c3887,3888\n","< 9,424.417867898941,0.7283,0.8487231891596801,560,140,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 10,408.4818769693375,0.7512,0.8623400302249473,640,160,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 9,424.41786789894104,0.7283,0.8487231891596801,560,140,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 10,408.48187696933746,0.7512,0.8623400302249473,640,160,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3895c3895\n","< 17,336.7597445249557,0.8094,0.8951541438558845,1200,300,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 17,336.75974452495575,0.8094,0.8951541438558845,1200,300,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3898c3898\n","< 20,314.8114531636238,0.8229,0.9024468518878108,1440,360,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 20,314.8114531636238,0.8229,0.9024468518878107,1440,360,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3900,3901c3900,3901\n","< 22,302.2738924622536,0.8232,0.9025409603697184,1600,400,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 23,297.0812952518463,0.8267,0.9048832959782964,1680,420,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 22,302.27389246225357,0.8232,0.9025409603697183,1600,400,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 23,297.0812952518463,0.8267,0.9048832959782963,1680,420,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3903,3904c3903,3904\n","< 25,283.37580960989,0.839,0.9114570460392044,1840,460,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 26,280.9949665367604,0.8353,0.909656511456071,1920,480,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 25,283.37580960989,0.839,0.9114570460392043,1840,460,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 26,280.99496653676033,0.8353,0.909656511456071,1920,480,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3906,3909c3906,3909\n","< 28,271.4088060557842,0.8435,0.9136304940580836,2080,520,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 29,267.20425167679787,0.8469,0.915852256379146,2160,540,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 30,261.3073995709419,0.8484,0.9166716277128208,2240,560,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 31,261.2102832198143,0.8411,0.912499375954418,2320,580,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 28,271.4088060557842,0.8435,0.9136304940580837,2080,520,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 29,267.20425167679787,0.8469,0.9158522563791461,2160,540,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 30,261.3073995709419,0.8484,0.9166716277128207,2240,560,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 31,261.2102832198143,0.8411,0.9124993759544179,2320,580,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3911,3913c3911,3913\n","< 33,250.99436601996425,0.8496,0.9173434233674308,2480,620,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 34,247.32403442263603,0.8527,0.9190693616045388,2560,640,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 35,241.55540040135384,0.8607,0.9235388407542188,2640,660,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 33,250.99436601996422,0.8496,0.9173434233674309,2480,620,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 34,247.32403442263603,0.8527,0.9190693616045387,2560,640,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 35,241.55540040135384,0.8607,0.9235388407542189,2640,660,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3915,3916c3915,3916\n","< 37,233.6002400815487,0.8633,0.924951470695606,2800,700,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 38,232.87698552012444,0.8636,0.9251102494995472,2880,720,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 37,233.6002400815487,0.8633,0.9249514706956059,2800,700,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 38,232.87698552012444,0.8636,0.9251102494995473,2880,720,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3918,3919c3918,3919\n","< 40,223.4697577059269,0.8706,0.9286953991936716,3040,760,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 41,222.189021229744,0.8647,0.9256496554146956,3120,780,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 40,223.4697577059269,0.8706,0.9286953991936715,3040,760,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 41,222.18902122974396,0.8647,0.9256496554146955,3120,780,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3921,3926c3921,3926\n","< 43,215.0030166208744,0.8677,0.9272515851395864,3280,820,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 44,213.10502660274503,0.867,0.9269489829041146,3360,840,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 45,210.50765857100487,0.8691,0.9281868732708296,3440,860,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 46,204.96000280976293,0.8746,0.9311697044905746,3520,880,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 47,202.96468105912209,0.8762,0.9319189052559724,3600,900,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 48,200.86006820201877,0.8781,0.9329262036767644,3680,920,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 43,215.0030166208744,0.8677,0.9272515851395863,3280,820,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 44,213.10502660274506,0.867,0.9269489829041146,3360,840,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 45,210.50765857100487,0.8691,0.9281868732708295,3440,860,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 46,204.96000280976295,0.8746,0.9311697044905746,3520,880,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 47,202.96468105912209,0.8762,0.9319189052559725,3600,900,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 48,200.86006820201874,0.8781,0.9329262036767645,3680,920,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3941c3941\n","< 12,420.590705871582,0.6282,0.7961252545976596,800,200,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 12,420.59070587158203,0.6282,0.7961252545976596,800,200,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3943c3943\n","< 14,397.9418084621429,0.6576,0.8127823380439448,960,240,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 14,397.94180846214294,0.6576,0.8127823380439448,960,240,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3945c3945\n","< 16,385.4571477770805,0.6533,0.8105422538245446,1120,280,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 16,385.45714777708054,0.6533,0.8105422538245446,1120,280,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3947c3947\n","< 18,369.9729507565498,0.6679,0.818717903494693,1280,320,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 18,369.97295075654984,0.6679,0.818717903494693,1280,320,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3958c3958\n","< 29,307.3817666769028,0.7278,0.8519152975506337,2160,540,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 29,307.38176667690277,0.7278,0.8519152975506337,2160,540,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3973c3973\n","< 44,250.40837767720225,0.7709,0.8749417833583715,3360,840,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 44,250.40837767720222,0.7709,0.8749417833583715,3360,840,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3975,3976c3975,3976\n","< 46,243.14283856749532,0.7815,0.8810503272695328,3520,880,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 47,241.0176822543144,0.7829,0.8817020857647346,3600,900,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 46,243.14283856749535,0.7815,0.8810503272695328,3520,880,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 47,241.01768225431442,0.7829,0.8817020857647346,3600,900,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n"]}],"source":["!diff ../outputs/all_results_mnist_flanders.csv ../outputs/original/all_results_mnist_flanders.csv"]},{"cell_type":"markdown","metadata":{"id":"y0XCCkuhwydB"},"source":["## MNIST"]},{"cell_type":"markdown","metadata":{"id":"NG2-2cpnyjkY"},"source":["### Use this shortcut"]},{"cell_type":"code","execution_count":7,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":244,"status":"ok","timestamp":1716376729975,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"lY85nEb6yrXu","outputId":"5439a3bc-684f-492f-b615-53e2252cd94c"},"outputs":[{"data":{"text/html":["
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00720.8331210.10450.5034220000GAUSSMNIST0FLANDERSFedAvg
11664.5222520.20890.5631160000GAUSSMNIST0FLANDERSFedAvg
22624.6338260.35600.6447310000GAUSSMNIST0FLANDERSFedAvg
33581.4764720.47730.710941010000GAUSSMNIST0FLANDERSFedAvg
44545.1142050.54300.746970020000GAUSSMNIST0FLANDERSFedAvg
..........................................
356546724.2817250.10250.5004790000AGR-MMMNIST80dncFedAvg
356647724.3501380.10240.5004210000AGR-MMMNIST80dncFedAvg
356748724.5352630.10250.5004790000AGR-MMMNIST80dncFedAvg
356849724.5888810.10280.5005980000AGR-MMMNIST80dncFedAvg
356950724.7838510.10280.5006020000AGR-MMMNIST80dncFedAvg
\n","

7548 rows × 13 columns

\n","
"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 720.833121 0.1045 0.503422 0 0 0 0 GAUSS \n","1 1 664.522252 0.2089 0.563116 0 0 0 0 GAUSS \n","2 2 624.633826 0.3560 0.644731 0 0 0 0 GAUSS \n","3 3 581.476472 0.4773 0.710941 0 100 0 0 GAUSS \n","4 4 545.114205 0.5430 0.746970 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 724.281725 0.1025 0.500479 0 0 0 0 AGR-MM \n","3566 47 724.350138 0.1024 0.500421 0 0 0 0 AGR-MM \n","3567 48 724.535263 0.1025 0.500479 0 0 0 0 AGR-MM \n","3568 49 724.588881 0.1028 0.500598 0 0 0 0 AGR-MM \n","3569 50 724.783851 0.1028 0.500602 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 MNIST 0 FLANDERS FedAvg \n","1 MNIST 0 FLANDERS FedAvg \n","2 MNIST 0 FLANDERS FedAvg \n","3 MNIST 0 FLANDERS FedAvg \n","4 MNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 MNIST 80 dnc FedAvg \n","3566 MNIST 80 dnc FedAvg \n","3567 MNIST 80 dnc FedAvg \n","3568 MNIST 80 dnc FedAvg \n","3569 MNIST 80 dnc FedAvg \n","\n","[7548 rows x 13 columns]"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["# CSV pre-processing MNIST\n","results_flanders_file = results_dir + \"all_results_mnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_mnist_no_flanders.csv\"\n","results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)\n","results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","mnist_df = pd.concat([results_flanders_df, results_no_flanders_df])\n","mnist_df"]},{"cell_type":"code","execution_count":7,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":9,"status":"ok","timestamp":1716115669854,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"hg3ysnqiNrms","outputId":"bae8ab71-ce7b-409a-b154-6ad42f9dfc3b"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'dnc']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc']\n"]}],"source":["print_unique_data(mnist_df)"]},{"cell_type":"markdown","metadata":{"id":"dE_uqUeuyl6M"},"source":["### Step-by-step processing"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"R9Cpe8bF8a2z"},"outputs":[],"source":["results_flanders_file = results_dir + \"all_results_mnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_mnist_no_flanders.csv\""]},{"cell_type":"code","execution_count":null,"metadata":{"id":"8nPsIraZ7nJK"},"outputs":[],"source":["results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1707513800371,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"oC_C6WVMshle","outputId":"20708ffb-24d9-4d94-fc83-6ab93c8d4ed0"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['mnist']\n","Unique values in strategy: ['flanders']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate'\n"," 'flwr.server.strategy.aggregate.aggregate_trimmed_avg'\n"," 'flwr.server.strategy.aggregate.aggregate_median'\n"," 'flwr.server.strategy.aggregate.aggregate_bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc'\n"," 'flwr.server.strategy.aggregate.aggregate_krum']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":423,"status":"ok","timestamp":1707478795736,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"2xSStl9-52cc","outputId":"391a3d7c-c4b5-486c-85a2-97d9a5ddb30d"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 40 60 80]\n","Unique values in dataset_name: ['mnist']\n","Unique values in strategy: ['fedavg' 'trimmedmean' 'fedmedian' 'bulyan' 'dnc' 'krum']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"8dEepZY28raZ"},"source":["Translate strings"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"zNPGc6YJ7E_J"},"outputs":[],"source":["results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"AQaNnF1K7TQc"},"outputs":[],"source":["results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":393,"status":"ok","timestamp":1707478246670,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"MXYnAzh8V-9t","outputId":"8f09ab5c-cd3e-4627-9f76-5f474ec09227"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FLANDERS']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":8,"status":"ok","timestamp":1707472989224,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"7xmPF5X77VQk","outputId":"f8e8331e-cde6-4413-f795-f0fe1a9cdd19"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 40 60 80]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n","Unique values in aggregate_fn: ['FedAvg']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"mjTmoV2M9YTk"},"source":["Concatenate the 2 dataframes, namely FLANDERS+f and baselines:"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"apvpT9Ve8wwv"},"outputs":[],"source":["mnist_df = pd.concat([results_flanders_df, results_no_flanders_df])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":424},"executionInfo":{"elapsed":5,"status":"ok","timestamp":1707513807441,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"aZuW73BW9Iu3","outputId":"3f558906-0d55-4ccd-e64f-5b62203ae746"},"outputs":[{"data":{"text/html":["\n","
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00720.2770980.10850.5048670000GAUSSMNIST0FLANDERSFedAvg
11675.0509400.45480.6994830000GAUSSMNIST0FLANDERSFedAvg
22647.6366430.52110.7358450000GAUSSMNIST0FLANDERSFedAvg
33614.4347950.56950.761650010000GAUSSMNIST0FLANDERSFedAvg
44584.1685070.60690.781741020000GAUSSMNIST0FLANDERSFedAvg
..........................................
397346292.8117450.74960.8612950000AGR-MMMNIST20MultiKrumFedAvg
397447289.7818840.75920.8668850000AGR-MMMNIST20MultiKrumFedAvg
397548287.8744360.76080.8679520000AGR-MMMNIST20MultiKrumFedAvg
397649288.8327780.74960.8615780000AGR-MMMNIST20MultiKrumFedAvg
397750290.4446540.74350.8580720000AGR-MMMNIST20MultiKrumFedAvg
\n","

8007 rows × 13 columns

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\n"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 720.277098 0.1085 0.504867 0 0 0 0 GAUSS \n","1 1 675.050940 0.4548 0.699483 0 0 0 0 GAUSS \n","2 2 647.636643 0.5211 0.735845 0 0 0 0 GAUSS \n","3 3 614.434795 0.5695 0.761650 0 100 0 0 GAUSS \n","4 4 584.168507 0.6069 0.781741 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3973 46 292.811745 0.7496 0.861295 0 0 0 0 AGR-MM \n","3974 47 289.781884 0.7592 0.866885 0 0 0 0 AGR-MM \n","3975 48 287.874436 0.7608 0.867952 0 0 0 0 AGR-MM \n","3976 49 288.832778 0.7496 0.861578 0 0 0 0 AGR-MM \n","3977 50 290.444654 0.7435 0.858072 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 MNIST 0 FLANDERS FedAvg \n","1 MNIST 0 FLANDERS FedAvg \n","2 MNIST 0 FLANDERS FedAvg \n","3 MNIST 0 FLANDERS FedAvg \n","4 MNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3973 MNIST 20 MultiKrum FedAvg \n","3974 MNIST 20 MultiKrum FedAvg \n","3975 MNIST 20 MultiKrum FedAvg \n","3976 MNIST 20 MultiKrum FedAvg \n","3977 MNIST 20 MultiKrum FedAvg \n","\n","[8007 rows x 13 columns]"]},"execution_count":54,"metadata":{},"output_type":"execute_result"}],"source":["mnist_df"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1707480685917,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"Ub0W-iA69LpR","outputId":"bfbcaf9e-575c-4d02-e9f0-0be7e74accb4"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80 40]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n"]}],"source":["print_unique_data(mnist_df)"]},{"cell_type":"markdown","metadata":{"id":"E3TZ_fJuTVuU"},"source":["## Fashion MNIST"]},{"cell_type":"markdown","metadata":{"id":"45GAIKG9Tmyb"},"source":["### Use this shortcut"]},{"cell_type":"code","execution_count":8,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":327,"status":"ok","timestamp":1716376732776,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"Qju5S7VmTpB_","outputId":"fbe0aed8-164c-4343-9949-e9fa7cc7f0a7"},"outputs":[{"data":{"text/html":["
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
0023082.3338130.06310.4795000000GAUSSFMNIST0FLANDERSFedAvg
1121920.1315610.19770.5542780000GAUSSFMNIST0FLANDERSFedAvg
2217859.0960200.42100.6783330000GAUSSFMNIST0FLANDERSFedAvg
3315559.0449260.49200.717778010000GAUSSFMNIST0FLANDERSFedAvg
4414684.1937220.50010.722278020000GAUSSFMNIST0FLANDERSFedAvg
..........................................
35654623279.5649070.10000.5000000000AGR-MMFMNIST80dncFedAvg
35664723290.9804420.10000.5000000000AGR-MMFMNIST80dncFedAvg
35674823302.2510220.10000.5000000000AGR-MMFMNIST80dncFedAvg
35684923312.5125960.10000.5000000000AGR-MMFMNIST80dncFedAvg
35695023326.1161770.10000.5000000000AGR-MMFMNIST80dncFedAvg
\n","

6884 rows × 13 columns

\n","
"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 23082.333813 0.0631 0.479500 0 0 0 0 GAUSS \n","1 1 21920.131561 0.1977 0.554278 0 0 0 0 GAUSS \n","2 2 17859.096020 0.4210 0.678333 0 0 0 0 GAUSS \n","3 3 15559.044926 0.4920 0.717778 0 100 0 0 GAUSS \n","4 4 14684.193722 0.5001 0.722278 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 23279.564907 0.1000 0.500000 0 0 0 0 AGR-MM \n","3566 47 23290.980442 0.1000 0.500000 0 0 0 0 AGR-MM \n","3567 48 23302.251022 0.1000 0.500000 0 0 0 0 AGR-MM \n","3568 49 23312.512596 0.1000 0.500000 0 0 0 0 AGR-MM \n","3569 50 23326.116177 0.1000 0.500000 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 FMNIST 0 FLANDERS FedAvg \n","1 FMNIST 0 FLANDERS FedAvg \n","2 FMNIST 0 FLANDERS FedAvg \n","3 FMNIST 0 FLANDERS FedAvg \n","4 FMNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 FMNIST 80 dnc FedAvg \n","3566 FMNIST 80 dnc FedAvg \n","3567 FMNIST 80 dnc FedAvg \n","3568 FMNIST 80 dnc FedAvg \n","3569 FMNIST 80 dnc FedAvg \n","\n","[6884 rows x 13 columns]"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["# CSV pre-processing FMNIST\n","results_flanders_file = results_dir + \"all_results_fmnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_fmnist_no_flanders.csv\"\n","results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)\n","results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","fmnist_df = pd.concat([results_flanders_df, results_no_flanders_df])\n","fmnist_df"]},{"cell_type":"code","execution_count":9,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1,"status":"ok","timestamp":1716047458204,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"08YXqMTZNpN6","outputId":"9de6cdc8-241e-4867-cd53-645434b99ce2"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['FMNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'dnc']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan']\n"]}],"source":["print_unique_data(fmnist_df)"]},{"cell_type":"markdown","metadata":{"id":"9vVX6wsxT-rc"},"source":["### Step-by-step processing"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"j0ZnLmVnUBT3"},"outputs":[],"source":["results_flanders_file = results_dir + \"all_results_fmnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_fmnist_no_flanders.csv\""]},{"cell_type":"code","execution_count":null,"metadata":{"id":"qsYaQiAWUBOw"},"outputs":[],"source":["results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":250,"status":"ok","timestamp":1709217712591,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"m1VKWq_jUHyY","outputId":"5bd5b442-4ab4-473d-bc60-b6f5fdc6320d"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['flanders']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate'\n"," 'flwr.server.strategy.aggregate.aggregate_trimmed_avg'\n"," 'flwr.server.strategy.aggregate.aggregate_median'\n"," 'flwr.server.strategy.aggregate.aggregate_krum'\n"," 'flwr.server.strategy.aggregate.aggregate_bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1709217720407,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"IxPT9D6DUJN3","outputId":"ded1f8b2-baf5-437b-abe3-25bad7a3c4ad"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['fedavg' 'trimmedmean' 'fedmedian' 'krum' 'bulyan' 'dnc']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"X8k98LNrUaLp"},"source":["Translate strings"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"zHNwpvZMUaLq"},"outputs":[],"source":["results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"9zMOOjCiUaLr"},"outputs":[],"source":["results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1709217802421,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"tygeoDz6UaLr","outputId":"2441a31a-ead0-4adf-8b95-73d75c6b3739"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['FLANDERS']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1709217803343,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"b8Xo1VseUaLr","outputId":"1fbb0a64-0695-4a89-eec1-e0a18ba54c40"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n","Unique values in aggregate_fn: ['FedAvg']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"zkmqmUTzUaLr"},"source":["Concatenate the 2 dataframes, namely FLANDERS+f and baselines:"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"m-wRVa9eUaLr"},"outputs":[],"source":["fmnist_df = pd.concat([results_flanders_df, results_no_flanders_df])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1709217813677,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"IhpjH5n1UaLs","outputId":"73f9a359-9f74-4e5e-b518-25af272b2207"},"outputs":[{"data":{"application/vnd.google.colaboratory.intrinsic+json":{"summary":"{\n \"name\": \"fmnist_df\",\n \"rows\": 7497,\n \"fields\": [\n {\n \"column\": \"round\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 14,\n \"min\": 0,\n \"max\": 50,\n \"num_unique_values\": 51,\n \"samples\": [\n 43,\n 40,\n 46\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"loss\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 5.098805154030721e+18,\n \"min\": 232.3792065680027,\n \"max\": 4.3645751884391645e+19,\n \"num_unique_values\": 7267,\n \"samples\": [\n 257.05002358555794,\n 303.2543874382973,\n 376.6231798529625\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"accuracy\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.2308533481360291,\n \"min\": 0.038,\n \"max\": 0.7626,\n \"num_unique_values\": 2608,\n \"samples\": [\n 0.3327,\n 0.4714,\n 0.5971\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"auc\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.12825186007557174,\n \"min\": 0.4655555555555556,\n \"max\": 0.8681111111111113,\n \"num_unique_values\": 3478,\n \"samples\": [\n 0.553,\n 0.8093333333333333,\n 0.7679999999999999\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"TP\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 944,\n \"min\": 0,\n \"max\": 3840,\n \"num_unique_values\": 292,\n \"samples\": [\n 1380,\n 165,\n 900\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"TN\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 943,\n \"min\": 0,\n \"max\": 4800,\n \"num_unique_values\": 439,\n \"samples\": [\n 195,\n 2960,\n 2584\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"FP\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 88,\n \"min\": 0,\n \"max\": 835,\n \"num_unique_values\": 259,\n \"samples\": [\n 333,\n 782,\n 156\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"FN\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 88,\n \"min\": 0,\n \"max\": 835,\n \"num_unique_values\": 259,\n \"samples\": [\n 333,\n 782,\n 156\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"attack_fn\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 4,\n \"samples\": [\n \"LIE\",\n \"AGR-MM\",\n \"GAUSS\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"dataset_name\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"fmnist\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"num_malicious\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 28,\n \"min\": 0,\n \"max\": 80,\n \"num_unique_values\": 4,\n \"samples\": [\n 20\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"strategy\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 7,\n \"samples\": [\n \"FLANDERS\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"aggregate_fn\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 6,\n \"samples\": [\n \"FedAvg\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}","type":"dataframe","variable_name":"fmnist_df"},"text/html":["\n","
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00722.5733350.09600.4977780000GAUSSfmnist0FLANDERSFedAvg
11679.1645870.22190.5677220000GAUSSfmnist0FLANDERSFedAvg
22559.4500050.45820.6990000000GAUSSfmnist0FLANDERSFedAvg
33473.0433670.53890.743833010000GAUSSfmnist0FLANDERSFedAvg
44438.4357100.56860.760333020000GAUSSfmnist0FLANDERSFedAvg
..........................................
356546729.7860360.10000.5000000000AGR-MMfmnist80DnCFedAvg
356647730.0917940.10000.5000000000AGR-MMfmnist80DnCFedAvg
356748730.4244920.10000.5000000000AGR-MMfmnist80DnCFedAvg
356849730.7109820.10000.5000000000AGR-MMfmnist80DnCFedAvg
356950731.0777110.10000.5000000000AGR-MMfmnist80DnCFedAvg
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7497 rows × 13 columns

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\n"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 722.573335 0.0960 0.497778 0 0 0 0 GAUSS \n","1 1 679.164587 0.2219 0.567722 0 0 0 0 GAUSS \n","2 2 559.450005 0.4582 0.699000 0 0 0 0 GAUSS \n","3 3 473.043367 0.5389 0.743833 0 100 0 0 GAUSS \n","4 4 438.435710 0.5686 0.760333 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 729.786036 0.1000 0.500000 0 0 0 0 AGR-MM \n","3566 47 730.091794 0.1000 0.500000 0 0 0 0 AGR-MM \n","3567 48 730.424492 0.1000 0.500000 0 0 0 0 AGR-MM \n","3568 49 730.710982 0.1000 0.500000 0 0 0 0 AGR-MM \n","3569 50 731.077711 0.1000 0.500000 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 fmnist 0 FLANDERS FedAvg \n","1 fmnist 0 FLANDERS FedAvg \n","2 fmnist 0 FLANDERS FedAvg \n","3 fmnist 0 FLANDERS FedAvg \n","4 fmnist 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 fmnist 80 DnC FedAvg \n","3566 fmnist 80 DnC FedAvg \n","3567 fmnist 80 DnC FedAvg \n","3568 fmnist 80 DnC FedAvg \n","3569 fmnist 80 DnC FedAvg \n","\n","[7497 rows x 13 columns]"]},"execution_count":20,"metadata":{},"output_type":"execute_result"}],"source":["fmnist_df"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6,"status":"ok","timestamp":1709217818750,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"XYwnEFa2UaLs","outputId":"44dcb4de-f892-4555-b5d8-8cfcacd37137"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n"]}],"source":["print_unique_data(fmnist_df)"]},{"cell_type":"code","execution_count":20,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":249,"status":"ok","timestamp":1716376734931,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"VY5G4tF1yVHN","outputId":"cf11f084-16b5-45b2-e1ae-6d9455909720"},"outputs":[{"ename":"FileNotFoundError","evalue":"[Errno 2] No such file or directory: '../outputs/all_results_cifar_flanders.csv'","output_type":"error","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)","Cell \u001b[0;32mIn[20], line 4\u001b[0m\n\u001b[1;32m 2\u001b[0m results_flanders_file \u001b[38;5;241m=\u001b[39m results_dir \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mall_results_cifar_flanders.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 3\u001b[0m results_no_flanders_file \u001b[38;5;241m=\u001b[39m results_dir \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mall_results_cifar_no_flanders.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m----> 4\u001b[0m results_flanders_df \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_csv\u001b[49m\u001b[43m(\u001b[49m\u001b[43mresults_flanders_file\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 5\u001b[0m results_no_flanders_df \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mread_csv(results_no_flanders_file)\n\u001b[1;32m 6\u001b[0m results_flanders_df \u001b[38;5;241m=\u001b[39m translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:948\u001b[0m, in \u001b[0;36mread_csv\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend)\u001b[0m\n\u001b[1;32m 935\u001b[0m kwds_defaults \u001b[38;5;241m=\u001b[39m _refine_defaults_read(\n\u001b[1;32m 936\u001b[0m dialect,\n\u001b[1;32m 937\u001b[0m delimiter,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 944\u001b[0m dtype_backend\u001b[38;5;241m=\u001b[39mdtype_backend,\n\u001b[1;32m 945\u001b[0m )\n\u001b[1;32m 946\u001b[0m kwds\u001b[38;5;241m.\u001b[39mupdate(kwds_defaults)\n\u001b[0;32m--> 948\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_read\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:611\u001b[0m, in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m 608\u001b[0m _validate_names(kwds\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnames\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m))\n\u001b[1;32m 610\u001b[0m \u001b[38;5;66;03m# Create the parser.\u001b[39;00m\n\u001b[0;32m--> 611\u001b[0m parser \u001b[38;5;241m=\u001b[39m \u001b[43mTextFileReader\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 613\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m chunksize \u001b[38;5;129;01mor\u001b[39;00m iterator:\n\u001b[1;32m 614\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m parser\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:1448\u001b[0m, in \u001b[0;36mTextFileReader.__init__\u001b[0;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[1;32m 1445\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m kwds[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[1;32m 1447\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles: IOHandles \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m-> 1448\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_engine \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_make_engine\u001b[49m\u001b[43m(\u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mengine\u001b[49m\u001b[43m)\u001b[49m\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:1705\u001b[0m, in \u001b[0;36mTextFileReader._make_engine\u001b[0;34m(self, f, engine)\u001b[0m\n\u001b[1;32m 1703\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m mode:\n\u001b[1;32m 1704\u001b[0m mode \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m-> 1705\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;241m=\u001b[39m \u001b[43mget_handle\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1706\u001b[0m \u001b[43m \u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1707\u001b[0m \u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1708\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1709\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompression\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcompression\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1710\u001b[0m \u001b[43m \u001b[49m\u001b[43mmemory_map\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmemory_map\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1711\u001b[0m \u001b[43m \u001b[49m\u001b[43mis_text\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mis_text\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1712\u001b[0m \u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding_errors\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstrict\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1713\u001b[0m \u001b[43m \u001b[49m\u001b[43mstorage_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstorage_options\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1714\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1715\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 1716\u001b[0m f \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles\u001b[38;5;241m.\u001b[39mhandle\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/common.py:863\u001b[0m, in \u001b[0;36mget_handle\u001b[0;34m(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)\u001b[0m\n\u001b[1;32m 858\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(handle, \u001b[38;5;28mstr\u001b[39m):\n\u001b[1;32m 859\u001b[0m \u001b[38;5;66;03m# Check whether the filename is to be opened in binary mode.\u001b[39;00m\n\u001b[1;32m 860\u001b[0m \u001b[38;5;66;03m# Binary mode does not support 'encoding' and 'newline'.\u001b[39;00m\n\u001b[1;32m 861\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mencoding \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mmode:\n\u001b[1;32m 862\u001b[0m \u001b[38;5;66;03m# Encoding\u001b[39;00m\n\u001b[0;32m--> 863\u001b[0m handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\n\u001b[1;32m 864\u001b[0m \u001b[43m \u001b[49m\u001b[43mhandle\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 865\u001b[0m \u001b[43m \u001b[49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 866\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 867\u001b[0m \u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 868\u001b[0m \u001b[43m \u001b[49m\u001b[43mnewline\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 869\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 870\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 871\u001b[0m \u001b[38;5;66;03m# Binary mode\u001b[39;00m\n\u001b[1;32m 872\u001b[0m handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mopen\u001b[39m(handle, ioargs\u001b[38;5;241m.\u001b[39mmode)\n","\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '../outputs/all_results_cifar_flanders.csv'"]}],"source":["# CSV pre-processing CIFAR-10\n","results_flanders_file = results_dir + \"all_results_cifar_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_cifar_no_flanders.csv\"\n","results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)\n","results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","cifar_df = pd.concat([results_flanders_df, results_no_flanders_df])\n","cifar_df"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1716047460925,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"y7wfUI0eyeEp","outputId":"48c324d7-5816-406e-dd8a-284172967e90"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80 40]\n","Unique values in dataset_name: ['CIFAR-10']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'DnC' 'MultiKrum' 'Bulyan'\n"," 'FLDetector']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n"]}],"source":["print_unique_data(cifar_df)"]},{"cell_type":"markdown","metadata":{"id":"1TUxrAF6w6cY"},"source":["## Unify datasets"]},{"cell_type":"code","execution_count":9,"metadata":{"id":"R2wOP2Eex7X2"},"outputs":[],"source":["all_datasets_df = pd.concat([mnist_df, fmnist_df])"]},{"cell_type":"code","execution_count":10,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":428,"status":"ok","timestamp":1716376740426,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"jwDN17ygyFK7","outputId":"c3db739f-98b7-4070-f826-4344553e9ab7"},"outputs":[{"data":{"text/html":["
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00720.8331210.10450.5034220000GAUSSMNIST0FLANDERSFedAvg
11664.5222520.20890.5631160000GAUSSMNIST0FLANDERSFedAvg
22624.6338260.35600.6447310000GAUSSMNIST0FLANDERSFedAvg
33581.4764720.47730.710941010000GAUSSMNIST0FLANDERSFedAvg
44545.1142050.54300.746970020000GAUSSMNIST0FLANDERSFedAvg
..........................................
35654623279.5649070.10000.5000000000AGR-MMFMNIST80dncFedAvg
35664723290.9804420.10000.5000000000AGR-MMFMNIST80dncFedAvg
35674823302.2510220.10000.5000000000AGR-MMFMNIST80dncFedAvg
35684923312.5125960.10000.5000000000AGR-MMFMNIST80dncFedAvg
35695023326.1161770.10000.5000000000AGR-MMFMNIST80dncFedAvg
\n","

14432 rows × 13 columns

\n","
"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 720.833121 0.1045 0.503422 0 0 0 0 GAUSS \n","1 1 664.522252 0.2089 0.563116 0 0 0 0 GAUSS \n","2 2 624.633826 0.3560 0.644731 0 0 0 0 GAUSS \n","3 3 581.476472 0.4773 0.710941 0 100 0 0 GAUSS \n","4 4 545.114205 0.5430 0.746970 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 23279.564907 0.1000 0.500000 0 0 0 0 AGR-MM \n","3566 47 23290.980442 0.1000 0.500000 0 0 0 0 AGR-MM \n","3567 48 23302.251022 0.1000 0.500000 0 0 0 0 AGR-MM \n","3568 49 23312.512596 0.1000 0.500000 0 0 0 0 AGR-MM \n","3569 50 23326.116177 0.1000 0.500000 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 MNIST 0 FLANDERS FedAvg \n","1 MNIST 0 FLANDERS FedAvg \n","2 MNIST 0 FLANDERS FedAvg \n","3 MNIST 0 FLANDERS FedAvg \n","4 MNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 FMNIST 80 dnc FedAvg \n","3566 FMNIST 80 dnc FedAvg \n","3567 FMNIST 80 dnc FedAvg \n","3568 FMNIST 80 dnc FedAvg \n","3569 FMNIST 80 dnc FedAvg \n","\n","[14432 rows x 13 columns]"]},"execution_count":10,"metadata":{},"output_type":"execute_result"}],"source":["all_datasets_df"]},{"cell_type":"code","execution_count":11,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2,"status":"ok","timestamp":1716376741411,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"VWrdDPtPyHHA","outputId":"1ef8b853-63f8-4eac-a785-578684dbf0a6"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['MNIST' 'FMNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'dnc']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc']\n"]}],"source":["print_unique_data(all_datasets_df)"]},{"cell_type":"markdown","metadata":{"id":"OlES57TEn2Ng"},"source":["# Tables\n"]},{"cell_type":"markdown","metadata":{"id":"hcHkTXfGbapg"},"source":["## Accuracy"]},{"cell_type":"markdown","metadata":{"id":"7F1YDs12sZbE"},"source":["### Best with improvment w.r.t. baseline"]},{"cell_type":"code","execution_count":26,"metadata":{"id":"GuQM8bzXnIGx"},"outputs":[],"source":["def accuracy_table(input_df, b):\n"," # Define strategies and attacks\n"," strategies = ['FedAvg', 'FLANDERS + FedAvg', 'FedMedian', 'FLANDERS + FedMedian', 'TrimmedMean', 'FLANDERS + TrimmedMean', 'MultiKrum', 'FLANDERS + MultiKrum', 'Bulyan', 'FLANDERS + Bulyan']\n"," attacks = ['GAUSS', 'LIE', 'OPT', 'AGR-MM']\n"," dataset_names = [\"MNIST\", \"FMNIST\"]\n","\n"," # Create MultiIndex for the columns\n"," columns = pd.MultiIndex.from_product([dataset_names, attacks], names=['Dataset', 'Attack'])\n","\n"," # Create an empty DataFrame with the defined columns and strategies\n"," df = pd.DataFrame(index=strategies, columns=columns)\n","\n"," filtered_df = input_df[(input_df['num_malicious'] == b) & (input_df['round'] >= 3)]\n"," baseline_df = filtered_df[filtered_df['strategy'] != 'FLANDERS']\n"," flanders_df = filtered_df[filtered_df['strategy'] == 'FLANDERS']\n","\n"," # Populate the DataFrame\n"," for strategy in ['FedAvg', 'TrimmedMean', 'FedMedian', 'MultiKrum', 'Bulyan']:\n"," for dataset in dataset_names:\n"," for attack in attacks:\n"," df.loc[strategy, (dataset, attack)] = round(baseline_df[(baseline_df['strategy']==strategy) & (baseline_df['attack_fn']==attack) & (baseline_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n"," df.loc[f\"FLANDERS + {strategy}\", (dataset, attack)] = round(flanders_df[(flanders_df['aggregate_fn']==strategy) & (flanders_df['attack_fn']==attack) & (flanders_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n","\n"," return df\n"]},{"cell_type":"code","execution_count":34,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":457},"executionInfo":{"elapsed":1243,"status":"ok","timestamp":1715943873268,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"PruXJg2vA87b","outputId":"98d83851-626b-4877-fd09-8f2f01200c65"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSGAUSS
FedAvg0.860.68
FLANDERS + FedAvg0.840.64
FedMedian0.830.71
FLANDERS + FedMedian0.760.73
TrimmedMean0.850.69
FLANDERS + TrimmedMean0.780.7
MultiKrum0.680.66
FLANDERS + MultiKrum0.740.73
Bulyan0.860.62
FLANDERS + Bulyan0.870.65
\n","
"],"text/plain":["Dataset MNIST FMNIST\n","Attack GAUSS GAUSS\n","FedAvg 0.86 0.68\n","FLANDERS + FedAvg 0.84 0.64\n","FedMedian 0.83 0.71\n","FLANDERS + FedMedian 0.76 0.73\n","TrimmedMean 0.85 0.69\n","FLANDERS + TrimmedMean 0.78 0.7\n","MultiKrum 0.68 0.66\n","FLANDERS + MultiKrum 0.74 0.73\n","Bulyan 0.86 0.62\n","FLANDERS + Bulyan 0.87 0.65"]},"execution_count":34,"metadata":{},"output_type":"execute_result"}],"source":["# Table 19\n","acc_0 = accuracy_table(all_datasets_df, 0).dropna(axis=1, how='all')\n","acc_0"]},{"cell_type":"code","execution_count":31,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":457},"executionInfo":{"elapsed":858,"status":"ok","timestamp":1715944158330,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"8bV7hABWbyMS","outputId":"6d24f87d-da15-40b2-8880-3b6dcefda1fd"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSLIEOPTAGR-MMGAUSSLIEOPTAGR-MM
FedAvg0.20.170.670.450.250.170.570.11
FLANDERS + FedAvg0.880.870.480.880.660.670.570.64
FedMedian0.80.660.790.590.660.650.670.6
FLANDERS + FedMedian0.850.850.660.830.710.690.630.73
TrimmedMean0.860.520.730.610.690.540.620.58
FLANDERS + TrimmedMean0.810.850.780.830.690.70.630.73
MultiKrum0.780.770.810.820.740.650.70.67
FLANDERS + MultiKrum0.820.860.840.820.730.70.730.71
Bulyan0.820.840.840.830.710.720.690.76
FLANDERS + Bulyan0.90.840.790.850.650.650.660.65
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","Attack GAUSS LIE OPT AGR-MM GAUSS LIE OPT AGR-MM\n","FedAvg 0.2 0.17 0.67 0.45 0.25 0.17 0.57 0.11\n","FLANDERS + FedAvg 0.88 0.87 0.48 0.88 0.66 0.67 0.57 0.64\n","FedMedian 0.8 0.66 0.79 0.59 0.66 0.65 0.67 0.6\n","FLANDERS + FedMedian 0.85 0.85 0.66 0.83 0.71 0.69 0.63 0.73\n","TrimmedMean 0.86 0.52 0.73 0.61 0.69 0.54 0.62 0.58\n","FLANDERS + TrimmedMean 0.81 0.85 0.78 0.83 0.69 0.7 0.63 0.73\n","MultiKrum 0.78 0.77 0.81 0.82 0.74 0.65 0.7 0.67\n","FLANDERS + MultiKrum 0.82 0.86 0.84 0.82 0.73 0.7 0.73 0.71\n","Bulyan 0.82 0.84 0.84 0.83 0.71 0.72 0.69 0.76\n","FLANDERS + Bulyan 0.9 0.84 0.79 0.85 0.65 0.65 0.66 0.65"]},"execution_count":31,"metadata":{},"output_type":"execute_result"}],"source":["# Table 15\n","acc_20 = accuracy_table(all_datasets_df, 20)\n","acc_20"]},{"cell_type":"markdown","metadata":{},"source":["Bulyan is NaN because it cannot work when the number of malicious clients is > 25%"]},{"cell_type":"code","execution_count":16,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1126,"status":"ok","timestamp":1716115710006,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"xSvgEwLoPmh3","outputId":"1c65e66e-7374-46f0-a2a5-0964bc40e49a"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSLIEOPTAGR-MMGAUSSLIEOPTAGR-MM
FedAvg0.190.150.20.160.280.10.190.1
FLANDERS + FedAvg0.760.880.850.850.690.670.710.67
FedMedian0.80.190.160.290.650.10.10.1
FLANDERS + FedMedian0.80.860.830.860.710.690.710.71
TrimmedMean0.250.20.330.10.330.10.170.1
FLANDERS + TrimmedMean0.780.870.840.830.70.710.730.74
MultiKrum0.790.140.220.150.710.10.120.1
FLANDERS + MultiKrum0.880.880.860.780.720.710.730.69
BulyanNaNNaNNaNNaNNaNNaNNaNNaN
FLANDERS + Bulyan0.890.870.90.850.680.640.60.69
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","Attack GAUSS LIE OPT AGR-MM GAUSS LIE OPT AGR-MM\n","FedAvg 0.19 0.15 0.2 0.16 0.28 0.1 0.19 0.1\n","FLANDERS + FedAvg 0.76 0.88 0.85 0.85 0.69 0.67 0.71 0.67\n","FedMedian 0.8 0.19 0.16 0.29 0.65 0.1 0.1 0.1\n","FLANDERS + FedMedian 0.8 0.86 0.83 0.86 0.71 0.69 0.71 0.71\n","TrimmedMean 0.25 0.2 0.33 0.1 0.33 0.1 0.17 0.1\n","FLANDERS + TrimmedMean 0.78 0.87 0.84 0.83 0.7 0.71 0.73 0.74\n","MultiKrum 0.79 0.14 0.22 0.15 0.71 0.1 0.12 0.1\n","FLANDERS + MultiKrum 0.88 0.88 0.86 0.78 0.72 0.71 0.73 0.69\n","Bulyan NaN NaN NaN NaN NaN NaN NaN NaN\n","FLANDERS + Bulyan 0.89 0.87 0.9 0.85 0.68 0.64 0.6 0.69"]},"execution_count":16,"metadata":{},"output_type":"execute_result"}],"source":["# Table 17\n","acc_60 = accuracy_table(all_datasets_df, 60)\n","acc_60"]},{"cell_type":"code","execution_count":17,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1188,"status":"ok","timestamp":1716050662469,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"dM_AMm_jcCye","outputId":"90533ef1-500f-40a3-f565-2c2ca1d68aaa"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSLIEOPTAGR-MMGAUSSLIEOPTAGR-MM
FedAvg0.210.160.310.130.240.10.180.1
FLANDERS + FedAvg0.850.860.880.850.690.70.690.66
FedMedian0.340.170.140.090.30.10.140.1
FLANDERS + FedMedian0.870.840.80.80.730.740.720.72
TrimmedMean0.170.150.210.140.210.10.120.1
FLANDERS + TrimmedMean0.810.850.810.820.740.730.70.69
MultiKrum0.820.210.320.110.720.10.150.1
FLANDERS + MultiKrum0.870.830.870.850.680.730.720.7
BulyanNaNNaNNaNNaNNaNNaNNaNNaN
FLANDERS + Bulyan0.840.840.830.80.690.720.690.68
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","Attack GAUSS LIE OPT AGR-MM GAUSS LIE OPT AGR-MM\n","FedAvg 0.21 0.16 0.31 0.13 0.24 0.1 0.18 0.1\n","FLANDERS + FedAvg 0.85 0.86 0.88 0.85 0.69 0.7 0.69 0.66\n","FedMedian 0.34 0.17 0.14 0.09 0.3 0.1 0.14 0.1\n","FLANDERS + FedMedian 0.87 0.84 0.8 0.8 0.73 0.74 0.72 0.72\n","TrimmedMean 0.17 0.15 0.21 0.14 0.21 0.1 0.12 0.1\n","FLANDERS + TrimmedMean 0.81 0.85 0.81 0.82 0.74 0.73 0.7 0.69\n","MultiKrum 0.82 0.21 0.32 0.11 0.72 0.1 0.15 0.1\n","FLANDERS + MultiKrum 0.87 0.83 0.87 0.85 0.68 0.73 0.72 0.7\n","Bulyan NaN NaN NaN NaN NaN NaN NaN NaN\n","FLANDERS + Bulyan 0.84 0.84 0.83 0.8 0.69 0.72 0.69 0.68"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["# Table 3\n","acc_80 = accuracy_table(all_datasets_df, 80)\n","acc_80"]},{"cell_type":"markdown","metadata":{"id":"CZX8c37MsgFL"},"source":["### Best w.r.t. number of attackers"]},{"cell_type":"code","execution_count":18,"metadata":{"id":"xgIKM1obsmd2"},"outputs":[],"source":["def accuracy_table_attackers(input_df, aggregate_fn):\n"," # Define strategies and attacks\n"," attacks = ['GAUSS', 'LIE', 'OPT', 'AGR-MM']\n"," dataset_names = [\"MNIST\", \"FMNIST\"]\n"," num_malicious = [0, 20, 60, 80]\n","\n"," # Create MultiIndex for the columns\n"," columns = pd.MultiIndex.from_product([dataset_names, num_malicious], names=['Dataset', '# Malicious'])\n","\n"," #######\n"," #columns = pd.MultiIndex.from_product([['MNIST', 'CIFAR-10'], ['GAUSS', 'LIE', 'OPT', 'AGR-MM'], ['LAST', 'BEST']])\n"," #######\n","\n","\n"," # Create an empty DataFrame with the defined columns and strategies\n"," df = pd.DataFrame(index=attacks, columns=columns)\n","\n"," filtered_df = input_df[(input_df['aggregate_fn'] == aggregate_fn) & (input_df['round'] >= 3)]\n"," baseline_df = filtered_df[filtered_df['strategy'] != 'FLANDERS']\n"," flanders_df = filtered_df[filtered_df['strategy'] == 'FLANDERS']\n","\n"," # Populate the DataFrame\n"," for dataset in dataset_names:\n"," for attack in attacks:\n"," for b in num_malicious:\n"," if b == 0:\n"," df.loc[attack, (dataset, b)] = round(flanders_df[(flanders_df['num_malicious']==b) & (flanders_df['attack_fn']=='GAUSS') & (flanders_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n"," else:\n"," df.loc[attack, (dataset, b)] = round(flanders_df[(flanders_df['num_malicious']==b) & (flanders_df['attack_fn']==attack) & (flanders_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n","\n"," return df"]},{"cell_type":"code","execution_count":19,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"executionInfo":{"elapsed":305,"status":"ok","timestamp":1715954054792,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"0n9vhQiQuxk_","outputId":"500dfb31-f525-4289-f337-2c945bf50cd2"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
# Malicious02060800206080
GAUSS0.740.820.880.870.730.730.720.68
LIE0.740.860.880.830.730.70.710.73
OPT0.740.840.860.870.730.730.730.72
AGR-MM0.740.820.780.850.730.710.690.7
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"],"text/plain":["Dataset MNIST FMNIST \n","# Malicious 0 20 60 80 0 20 60 80\n","GAUSS 0.74 0.82 0.88 0.87 0.73 0.73 0.72 0.68\n","LIE 0.74 0.86 0.88 0.83 0.73 0.7 0.71 0.73\n","OPT 0.74 0.84 0.86 0.87 0.73 0.73 0.73 0.72\n","AGR-MM 0.74 0.82 0.78 0.85 0.73 0.71 0.69 0.7"]},"execution_count":19,"metadata":{},"output_type":"execute_result"}],"source":["# Table 20\n","acc_att = accuracy_table_attackers(all_datasets_df, 'MultiKrum')\n","acc_att"]},{"cell_type":"markdown","metadata":{"id":"g6yDorrubUw1"},"source":["## Precision and Recall"]},{"cell_type":"code","execution_count":20,"metadata":{"id":"y0PlDlG0bKek"},"outputs":[],"source":["def pr_table(input_df, b):\n"," strategies = ['FLANDERS']\n"," attacks = ['GAUSS', 'LIE', 'OPT', 'AGR-MM']\n"," dataset_names = [\"MNIST\", \"FMNIST\"]\n","\n"," # Create MultiIndex for the columns\n"," columns = pd.MultiIndex.from_product([strategies, attacks, ['P', 'R']], names=['Strategy', 'Attack', 'P/R'])\n","\n"," # Create an empty DataFrame with the defined columns and strategies\n"," df = pd.DataFrame(index=dataset_names, columns=columns)\n","\n"," filtered_df = input_df[(input_df['num_malicious'] == b) & (input_df['round'] == 50) & (input_df['aggregate_fn']=='FedAvg')]\n"," flanders_df = filtered_df[filtered_df['strategy'] == 'FLANDERS']\n"," strat_dfs = [flanders_df]\n","\n"," # Populate the DataFrame\n"," for dataset in dataset_names:\n"," for attack in attacks:\n"," for idx, strategy in enumerate(strategies):\n"," tp = strat_dfs[idx][(strat_dfs[idx]['attack_fn']==attack) & (strat_dfs[idx]['dataset_name']==dataset)]['TP'].iloc[0]\n"," fp = strat_dfs[idx][(strat_dfs[idx]['attack_fn']==attack) & (strat_dfs[idx]['dataset_name']==dataset)]['FP'].iloc[0]\n"," fn = strat_dfs[idx][(strat_dfs[idx]['attack_fn']==attack) & (strat_dfs[idx]['dataset_name']==dataset)]['FN'].iloc[0]\n"," df.loc[dataset, (strategy, attack, 'P')] = round(tp / (tp+fp), 2)\n"," df.loc[dataset, (strategy, attack, 'R')] = round(tp / (tp+fn), 2)\n","\n"," return df"]},{"cell_type":"code","execution_count":21,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":257},"executionInfo":{"elapsed":248,"status":"ok","timestamp":1716367268457,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"rpQyziNRh3dn","outputId":"26e2c0f9-144d-4cad-d13f-1e2351aa2081"},"outputs":[{"data":{"text/html":["
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StrategyFLANDERS
AttackGAUSSLIEOPTAGR-MM
P/RPRPRPRPR
MNIST1.01.01.01.00.150.151.01.0
FMNIST1.01.01.01.00.160.161.01.0
\n","
"],"text/plain":["Strategy FLANDERS \n","Attack GAUSS LIE OPT AGR-MM \n","P/R P R P R P R P R\n","MNIST 1.0 1.0 1.0 1.0 0.15 0.15 1.0 1.0\n","FMNIST 1.0 1.0 1.0 1.0 0.16 0.16 1.0 1.0"]},"execution_count":21,"metadata":{},"output_type":"execute_result"}],"source":["# Table 1\n","pr_20 = pr_table(all_datasets_df, 20)\n","pr_20"]},{"cell_type":"code","execution_count":22,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":257},"executionInfo":{"elapsed":327,"status":"ok","timestamp":1716367273542,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"ccW0Ups3iMvZ","outputId":"ba945e17-1bbe-414f-9aa0-b03fb0fe107f"},"outputs":[{"data":{"text/html":["
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StrategyFLANDERS
AttackGAUSSLIEOPTAGR-MM
P/RPRPRPRPR
MNIST1.01.01.01.01.01.01.01.0
FMNIST1.01.01.01.01.01.01.01.0
\n","
"],"text/plain":["Strategy FLANDERS \n","Attack GAUSS LIE OPT AGR-MM \n","P/R P R P R P R P R\n","MNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0\n","FMNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0"]},"execution_count":22,"metadata":{},"output_type":"execute_result"}],"source":["# Table 2\n","pr_60 = pr_table(all_datasets_df, 60)\n","pr_60"]},{"cell_type":"code","execution_count":23,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":257},"executionInfo":{"elapsed":308,"status":"ok","timestamp":1716376750779,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"05a0Gv5piS2v","outputId":"0cf6555a-4cc8-4aa5-f9b6-c8286afa130a"},"outputs":[{"data":{"text/html":["
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StrategyFLANDERS
AttackGAUSSLIEOPTAGR-MM
P/RPRPRPRPR
MNIST1.01.01.01.01.01.01.01.0
FMNIST1.01.01.01.01.01.01.01.0
\n","
"],"text/plain":["Strategy FLANDERS \n","Attack GAUSS LIE OPT AGR-MM \n","P/R P R P R P R P R\n","MNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0\n","FMNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0"]},"execution_count":23,"metadata":{},"output_type":"execute_result"}],"source":["# Table 3\n","pr_80 = pr_table(all_datasets_df, 80)\n","pr_80"]},{"cell_type":"markdown","metadata":{"id":"bN7dTn2u0r6K"},"source":["# Plots"]},{"cell_type":"markdown","metadata":{"id":"xZ0wiadBsVUh"},"source":["## Accuracy over rounds"]},{"cell_type":"code","execution_count":24,"metadata":{"id":"LQ_uYJCtjdJS"},"outputs":[],"source":["df_mnist_acc_flanders = all_datasets_df[(all_datasets_df['strategy']=='FLANDERS') & (all_datasets_df['num_malicious']==80) & (all_datasets_df['dataset_name']=='MNIST') & (all_datasets_df['aggregate_fn']=='MultiKrum')]\n","df_mnist_acc_fedavg = all_datasets_df[(all_datasets_df['strategy']=='FedAvg') & (all_datasets_df['num_malicious']==80) & (all_datasets_df['dataset_name']=='MNIST')]\n","df_no_attack = all_datasets_df[(all_datasets_df['strategy']=='FedAvg') & (all_datasets_df['num_malicious']==0) & (all_datasets_df['dataset_name']=='MNIST')]"]},{"cell_type":"code","execution_count":25,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":408},"executionInfo":{"elapsed":651,"status":"ok","timestamp":1714668544212,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"NDkD_Qnd1iT7","outputId":"928cfa90-04a2-4624-9825-adb0d124aaf8"},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["# Figure 3\n","num_plots = 2\n","plt.style.use('default')\n","fig, axs = plt.subplots(1, num_plots, figsize=(11, 4))\n","\n","data = [df_mnist_acc_flanders, df_mnist_acc_fedavg]\n","\n","for i in range(num_plots):\n"," if i == 0:\n"," acc = df_no_attack[df_no_attack[\"attack_fn\"]=='GAUSS']['accuracy'].to_list()\n"," axs[i].plot(acc, label=\"No Attack\", linestyle='--', color='slategray')\n"," for attack in ['GAUSS', 'LIE', 'OPT', 'AGR-MM']:\n"," acc = data[i][data[i]['attack_fn']==attack]['accuracy'].to_list()\n"," x = [i for i in range(len(data))]\n"," axs[i].plot(acc, label=attack)\n"," axs[i].set_ylim((0,1.0))\n"," axs[i].set_xlabel('Round', fontsize=16)\n"," axs[i].set_ylabel('Accuracy', fontsize=16)\n"," axs[i].legend(prop={'size': 12})\n"," axs[i].tick_params(axis='both', which='major', labelsize=16)\n"," axs[i].tick_params(axis='both', which='minor', labelsize=16)\n","\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":[]}],"metadata":{"colab":{"authorship_tag":"ABX9TyODCHCYl18UhHkKwq6LlRvG","collapsed_sections":["P_3Z05w0wvNB","dE_uqUeuyl6M","9vVX6wsxT-rc","RctMDJMZyPq2","R9VNz7Cv9RHn","6V4padUiYeac","pZ863s6JJbph","EJDtdXqLJX0H"],"provenance":[]},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.9.18"}},"nbformat":4,"nbformat_minor":0} From 7b3d748da748f533807715a71010d5ae8a95d7db Mon Sep 17 00:00:00 2001 From: edogab33 Date: Fri, 26 Jul 2024 12:44:18 +0200 Subject: [PATCH 89/91] Typo --- baselines/flanders/plotting/FLANDERS_results.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/baselines/flanders/plotting/FLANDERS_results.ipynb b/baselines/flanders/plotting/FLANDERS_results.ipynb index 6b736796b7a3..4f3fdcc9b0d8 100644 --- a/baselines/flanders/plotting/FLANDERS_results.ipynb +++ b/baselines/flanders/plotting/FLANDERS_results.ipynb @@ -1 +1 @@ -{"cells":[{"cell_type":"markdown","metadata":{"id":"Cg37xeuu7Xy5"},"source":["# Preliminaries"]},{"cell_type":"code","execution_count":1,"metadata":{"id":"J_Dh3sGVyb2w"},"outputs":[],"source":["import pandas as pd\n","from natsort import natsorted\n","import matplotlib.pyplot as plt"]},{"cell_type":"code","execution_count":2,"metadata":{"id":"FjlCyr_B8OdT"},"outputs":[],"source":["results_dir = \"../outputs/\""]},{"cell_type":"markdown","metadata":{"id":"VX2oCpZf7Z7y"},"source":["# Prepare data"]},{"cell_type":"markdown","metadata":{"id":"P_3Z05w0wvNB"},"source":["## Utils"]},{"cell_type":"code","execution_count":22,"metadata":{},"outputs":[],"source":["def divide_results_by_dataset(results_dir, file=\"all_results.csv\"):\n"," \"\"\"Divide csv results into multiple files distinguished by dataset and if strategy is FLANDERS or not (e.g., all_results_mnist_flanders and all_results_mnist_no_flanders).\"\"\"\n"," results = pd.read_csv(results_dir + file, float_precision='round_trip')\n"," datasets = natsorted(results[\"dataset_name\"].unique())\n"," for dataset in datasets:\n"," flanders = results[(results[\"dataset_name\"] == dataset) & (results[\"strategy\"] == \"flanders\")]\n"," no_flanders = results[(results[\"dataset_name\"] == dataset) & (results[\"strategy\"] != \"flanders\")]\n"," flanders.to_csv(results_dir + \"all_results_\" + dataset + \"_flanders.csv\", index=False)\n"," no_flanders.to_csv(results_dir + \"all_results_\" + dataset + \"_no_flanders.csv\", index=False)\n"," "]},{"cell_type":"code","execution_count":4,"metadata":{"id":"fZSDCuT497HV"},"outputs":[],"source":["def print_unique_data(results_df):\n"," for col in [\"attack_fn\", \"num_malicious\", \"dataset_name\", \"strategy\", \"aggregate_fn\"]:\n"," print(f\"Unique values in {col}: {results_df[col].unique()}\")"]},{"cell_type":"code","execution_count":5,"metadata":{"id":"8GcIZNuu8q5Y"},"outputs":[],"source":["def translate_cols(df, attack_dict, dataset_dict, strategy_dict, aggregate_dict):\n"," column_names = [\"attack_fn\", \"dataset_name\", \"strategy\", \"aggregate_fn\"]\n"," for idx, d in enumerate([attack_dict, dataset_dict, strategy_dict, aggregate_dict]):\n"," df[column_names[idx]] = df[column_names[idx]].replace(d)\n"," return df"]},{"cell_type":"code","execution_count":6,"metadata":{"id":"oHcF2pl8sdOG"},"outputs":[],"source":["attack_dict = {\n"," \"gaussian\": \"GAUSS\",\n"," \"lie\": \"LIE\",\n"," \"fang\": \"OPT\",\n"," \"minmax\": \"AGR-MM\",\n"," \"adaptive\": \"MAR-ATK\"\n","}\n","\n","dataset_dict = {\n"," \"mnist\": \"MNIST\",\n"," \"fmnist\": \"FMNIST\",\n"," \"cifar\": \"CIFAR-10\",\n"," \"cifar100\": \"CIFAR-100\"\n","}\n","\n","strategy_dict = {\n"," \"flanders\": \"FLANDERS\",\n"," \"fedavg\": \"FedAvg\",\n"," \"fedmedian\": \"FedMedian\",\n"," \"trimmedmean\": \"TrimmedMean\",\n"," \"bulyan\": \"Bulyan\",\n"," \"krum\": \"MultiKrum\",\n"," \"fldetector\": \"FLDetector\"\n","}\n","\n","aggregate_dict = {\n"," \"flwr.server.strategy.aggregate.aggregate\": \"FedAvg\",\n"," \"flwr.server.strategy.aggregate.aggregate_median\": \"FedMedian\",\n"," \"flwr.server.strategy.aggregate.aggregate_trimmed_avg\": \"TrimmedMean\",\n"," \"flwr.server.strategy.aggregate.aggregate_bulyan\": \"Bulyan\",\n"," \"flwr.server.strategy.aggregate.aggregate_krum\": \"MultiKrum\"\n","}"]},{"cell_type":"code","execution_count":19,"metadata":{},"outputs":[],"source":["divide_results_by_dataset(results_dir)"]},{"cell_type":"code","execution_count":21,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["9c9\n","< 7,470.618819475174,0.6119,0.7851549625155109,0,500,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 7,470.61881947517395,0.6119,0.7851549625155109,0,500,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","11c11\n","< 9,438.1458781957626,0.6336,0.7974040672284071,0,700,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 9,438.14587819576263,0.6336,0.7974040672284071,0,700,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","20c20\n","< 18,351.819709956646,0.6916,0.8299584002973285,0,1600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 18,351.81970995664597,0.6916,0.8299584002973285,0,1600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","30c30\n","< 28,295.372104883194,0.7451,0.8597614104143163,0,2600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 28,295.37210488319397,0.7451,0.8597614104143163,0,2600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","33c33\n","< 31,282.0081115663052,0.7605,0.8683040410787412,0,2900,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 31,282.00811156630516,0.7605,0.8683040410787412,0,2900,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","42c42\n","< 40,247.3932259380817,0.8028,0.8916473160186131,0,3800,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 40,247.39322593808174,0.8028,0.8916473160186131,0,3800,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","46c46\n","< 44,232.9519554674625,0.8203,0.9013125211252658,0,4200,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 44,232.95195546746254,0.8203,0.9013125211252658,0,4200,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","48,51c48,51\n","< 46,226.5291863679886,0.827,0.9049377425937156,0,4400,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","< 47,223.43858739733696,0.8304,0.90680435408351,0,4500,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","< 48,220.2536328136921,0.834,0.9087587384759728,0,4600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","< 49,217.4168188869953,0.8379,0.9108826257077433,0,4700,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 46,226.5291863679886,0.827,0.9049377425937157,0,4400,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","> 47,223.43858739733696,0.8304,0.9068043540835099,0,4500,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","> 48,220.2536328136921,0.834,0.9087587384759729,0,4600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","> 49,217.41681888699532,0.8379,0.9108826257077431,0,4700,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate\n","60c60\n","< 7,459.6746319532394,0.7063,0.8358180505777956,100,400,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 7,459.67463195323944,0.7063,0.8358180505777956,100,400,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","67c67\n","< 14,372.4536452889442,0.7392,0.8554349949356566,240,960,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 14,372.45364528894424,0.7392,0.8554349949356566,240,960,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","71c71\n","< 18,341.7068759799004,0.7562,0.8652290456695158,320,1280,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 18,341.70687597990036,0.7562,0.8652290456695158,320,1280,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","84,86c84,86\n","< 31,268.9076217710972,0.8218,0.9021137377580092,580,2320,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 32,264.41304913163185,0.8247,0.9037025208295364,600,2400,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 33,260.25946870446205,0.8273,0.9050716065100776,620,2480,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 31,268.9076217710972,0.8218,0.9021137377580093,580,2320,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 32,264.41304913163185,0.8247,0.9037025208295363,600,2400,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 33,260.25946870446205,0.8273,0.9050716065100775,620,2480,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","89,91c89,91\n","< 36,248.1850986778736,0.8364,0.9100293634019508,680,2720,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 37,243.74191710352895,0.841,0.9124743469362544,700,2800,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 38,240.4672427177429,0.8425,0.9133202591976464,720,2880,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 36,248.1850986778736,0.8364,0.9100293634019507,680,2720,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 37,243.74191710352898,0.841,0.9124743469362544,700,2800,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 38,240.46724271774292,0.8425,0.9133202591976465,720,2880,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","94c94\n","< 41,229.09381547570229,0.8519,0.9183459182966128,780,3120,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 41,229.09381547570229,0.8519,0.9183459182966127,780,3120,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","96c96\n","< 43,221.81280422210693,0.856,0.9205770890263376,820,3280,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 43,221.81280422210693,0.856,0.9205770890263375,820,3280,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","98,99c98,99\n","< 45,215.11569464206696,0.8629,0.9243295820479888,860,3440,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 46,212.25303676724437,0.8636,0.9247639005352511,880,3520,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 45,215.11569464206696,0.8629,0.9243295820479887,860,3440,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 46,212.25303676724434,0.8636,0.9247639005352513,880,3520,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","103c103\n","< 50,199.0460639595985,0.8764,0.9316819304271124,960,3840,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 50,199.04606395959854,0.8764,0.9316819304271124,960,3840,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","110c110\n","< 6,506.7274416685104,0.6092,0.7822497445490901,80,320,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 6,506.72744166851044,0.6092,0.7822497445490901,80,320,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","117c117\n","< 13,406.6930024027824,0.6852,0.8247792410072817,220,880,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 13,406.69300240278244,0.6852,0.8247792410072817,220,880,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","121c121\n","< 17,370.1426814794541,0.7272,0.8482779030606146,300,1200,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 17,370.14268147945404,0.7272,0.8482779030606146,300,1200,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","123c123\n","< 19,355.077222943306,0.7421,0.8564828452393236,340,1360,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 19,355.07722294330597,0.7421,0.8564828452393236,340,1360,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","127c127\n","< 23,329.2536780238152,0.7697,0.8719024739612061,420,1680,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 23,329.25367802381516,0.7697,0.8719024739612061,420,1680,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","132c132\n","< 28,302.8999291658401,0.7927,0.8851015149599044,520,2080,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 28,302.89992916584015,0.7927,0.8851015149599044,520,2080,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","137,139c137,139\n","< 33,277.8870767951012,0.8162,0.898206644210546,620,2480,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 34,273.3967899978161,0.8212,0.9009713545328052,640,2560,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 35,268.1254373192787,0.8275,0.90444157945379,660,2640,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 33,277.88707679510117,0.8162,0.898206644210546,620,2480,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 34,273.3967899978161,0.8212,0.9009713545328051,640,2560,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 35,268.1254373192787,0.8275,0.9044415794537899,660,2640,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","141,144c141,144\n","< 37,260.07765036821365,0.8312,0.9065756204621356,700,2800,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 38,256.64048090577126,0.8327,0.9074982426295356,720,2880,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 39,252.0430652499199,0.8362,0.9093006365458,740,2960,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 40,247.01640391349792,0.843,0.9130244517969648,760,3040,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 37,260.07765036821365,0.8312,0.9065756204621357,700,2800,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 38,256.64048090577126,0.8327,0.9074982426295357,720,2880,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 39,252.0430652499199,0.8362,0.9093006365458001,740,2960,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 40,247.01640391349792,0.843,0.9130244517969649,760,3040,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","150,152c150,152\n","< 46,223.8459115624428,0.8646,0.9250685217271056,880,3520,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 47,220.5133616030216,0.8656,0.9256249802306604,900,3600,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 48,217.04624798893929,0.8683,0.9271179684619116,920,3680,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 46,223.84591156244278,0.8646,0.9250685217271055,880,3520,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 47,220.51336160302162,0.8656,0.9256249802306605,900,3600,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 48,217.04624798893929,0.8683,0.9271179684619117,920,3680,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","154c154\n","< 50,210.60713160037997,0.8717,0.9289659803859232,960,3840,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 50,210.60713160037994,0.8717,0.9289659803859232,960,3840,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","218c218\n","< 12,410.75720089674,0.6981,0.8329533876899431,200,800,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 12,410.75720089673996,0.6981,0.8329533876899431,200,800,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","226c226\n","< 20,344.3701158165932,0.7555,0.8649904031381006,360,1440,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 20,344.37011581659317,0.7555,0.8649904031381006,360,1440,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","236c236\n","< 30,290.5026210546493,0.8054,0.8923430343787885,560,2240,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 30,290.50262105464935,0.8054,0.8923430343787885,560,2240,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","239c239\n","< 33,275.596452832222,0.8219,0.9013263199473652,620,2480,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 33,275.596452832222,0.8219,0.9013263199473653,620,2480,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","241c241\n","< 35,265.8011617362499,0.835,0.9085008251699632,660,2640,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 35,265.8011617362499,0.835,0.9085008251699633,660,2640,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","243,245c243,245\n","< 37,257.5963149666786,0.8416,0.9122266064451,700,2800,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 38,253.68113148212436,0.8432,0.9131293268167762,720,2880,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 39,248.67839524149892,0.8506,0.917020697681266,740,2960,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 37,257.5963149666786,0.8416,0.9122266064450999,700,2800,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 38,253.68113148212433,0.8432,0.9131293268167762,720,2880,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 39,248.67839524149895,0.8506,0.9170206976812659,740,2960,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","247c247\n","< 41,239.3296804130077,0.8608,0.9225597894521088,780,3120,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 41,239.32968041300774,0.8608,0.9225597894521089,780,3120,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","250,256c250,256\n","< 44,227.78731855750084,0.8676,0.92636041356526,840,3360,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 45,224.48168808221817,0.8697,0.927488091864856,860,3440,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 46,221.12059971690175,0.8721,0.9288073069064048,880,3520,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 47,217.8803750872612,0.8739,0.9298091097635376,900,3600,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 48,214.48009517788887,0.8761,0.931001980462094,920,3680,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 49,210.7987434566021,0.8788,0.9325027642922884,940,3760,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","< 50,208.04733884334564,0.88,0.9330947617046056,960,3840,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 44,227.78731855750084,0.8676,0.9263604135652601,840,3360,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 45,224.48168808221817,0.8697,0.9274880918648561,860,3440,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 46,221.12059971690178,0.8721,0.9288073069064049,880,3520,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 47,217.8803750872612,0.8739,0.9298091097635377,900,3600,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 48,214.48009517788887,0.8761,0.9310019804620941,920,3680,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 49,210.7987434566021,0.8788,0.9325027642922883,940,3760,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","> 50,208.04733884334564,0.88,0.9330947617046057,960,3840,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate\n","275c275\n","< 18,366.9582477807999,0.6459,0.8055512591619935,960,640,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 18,366.95824778079987,0.6459,0.8055512591619935,960,640,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","281c281\n","< 24,337.3828353285789,0.6613,0.8142524476929813,1320,880,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 24,337.38283532857895,0.6613,0.8142524476929813,1320,880,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","295c295\n","< 38,280.85945135355,0.7162,0.8443641311198572,2160,1440,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 38,280.85945135354996,0.7162,0.8443641311198572,2160,1440,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","303c303\n","< 46,253.90509095788,0.7438,0.859706237263465,2640,1760,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 46,253.90509095788002,0.7438,0.859706237263465,2640,1760,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","306c306\n","< 49,243.1568866670132,0.7553,0.8658670231170286,2820,1880,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 49,243.15688666701317,0.7553,0.8658670231170286,2820,1880,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","308c308\n","< 0,721.4264976978302,0.0893,0.4943158866056198,0,0,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 0,721.4264976978302,0.0893,0.49431588660561987,0,0,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","324c324\n","< 16,368.9598971009255,0.7309,0.852456867375094,840,560,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 16,368.95989710092545,0.7309,0.852456867375094,840,560,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","334c334\n","< 26,302.2602205872536,0.7916,0.886514166119535,1440,960,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 26,302.26022058725357,0.7916,0.886514166119535,1440,960,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","344,347c344,347\n","< 36,252.5341165959835,0.8361,0.9102312484840028,2040,1360,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 37,247.08538591861725,0.8411,0.9129055114732372,2100,1400,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 38,244.1704399287701,0.8428,0.9140628964422276,2160,1440,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 39,238.5041057169437,0.854,0.9198976658678149,2220,1480,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 36,252.5341165959835,0.8361,0.9102312484840029,2040,1360,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 37,247.08538591861725,0.8411,0.9129055114732371,2100,1400,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 38,244.17043992877007,0.8428,0.9140628964422275,2160,1440,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 39,238.50410571694374,0.854,0.9198976658678149,2220,1480,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","349,351c349,351\n","< 41,231.93516901135445,0.8553,0.9205827258503224,2340,1560,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 42,226.27924805879596,0.8648,0.925561699909182,2400,1600,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 43,221.6407981812954,0.8655,0.9259556082492816,2460,1640,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 41,231.93516901135445,0.8553,0.9205827258503225,2340,1560,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 42,226.27924805879593,0.8648,0.925561699909182,2400,1600,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 43,221.6407981812954,0.8655,0.9259556082492815,2460,1640,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","353,355c353,355\n","< 45,214.96815305948255,0.8712,0.92920886407349,2580,1720,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 46,211.32768896222117,0.8739,0.9305490210580508,2640,1760,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 47,209.87007614970207,0.8699,0.9284595544228192,2700,1800,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 45,214.96815305948257,0.8712,0.9292088640734899,2580,1720,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 46,211.32768896222115,0.8739,0.9305490210580507,2640,1760,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 47,209.87007614970207,0.8699,0.9284595544228191,2700,1800,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","358c358\n","< 50,200.3841543197632,0.876,0.9317481057906888,2880,1920,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 50,200.38415431976318,0.876,0.9317481057906887,2880,1920,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","365c365\n","< 6,489.6116780042648,0.6672,0.8140040663158741,240,160,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 6,489.61167800426483,0.6672,0.8140040663158741,240,160,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","395,396c395,396\n","< 36,254.54911589622495,0.8255,0.9024304353216278,2040,1360,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 37,250.14102149009705,0.8277,0.9037202648277668,2100,1400,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 36,254.54911589622498,0.8255,0.9024304353216278,2040,1360,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 37,250.14102149009705,0.8277,0.9037202648277667,2100,1400,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","398,399c398,399\n","< 39,243.09845873713493,0.8338,0.9072032910747292,2220,1480,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 40,239.6989917457104,0.8372,0.908857918310239,2280,1520,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 39,243.09845873713493,0.8338,0.9072032910747293,2220,1480,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 40,239.69899174571037,0.8372,0.908857918310239,2280,1520,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","401c401\n","< 42,231.9406836628914,0.8444,0.9128454114141452,2400,1600,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 42,231.9406836628914,0.8444,0.9128454114141453,2400,1600,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","403c403\n","< 44,225.5253274440765,0.8432,0.9124431516628044,2520,1680,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 44,225.52532744407654,0.8432,0.9124431516628043,2520,1680,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","406c406\n","< 47,217.7801477611065,0.8463,0.9140146609414788,2700,1800,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 47,217.7801477611065,0.8463,0.9140146609414789,2700,1800,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","417,420c417,420\n","< 7,473.3682833909989,0.6959,0.8297956566166034,300,200,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 8,456.2157111167908,0.6994,0.8320950885313364,360,240,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 9,439.6423541307449,0.7088,0.8374453154106207,420,280,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 10,425.1657605171204,0.7201,0.8440901430694121,480,320,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 7,473.36828339099884,0.6959,0.8297956566166034,300,200,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 8,456.21571111679077,0.6994,0.8320950885313364,360,240,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 9,439.64235413074493,0.7088,0.8374453154106207,420,280,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 10,425.16576051712036,0.7201,0.8440901430694121,480,320,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","423c423\n","< 13,391.5069093704224,0.7376,0.8542803425980076,660,440,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 13,391.50690937042236,0.7376,0.8542803425980076,660,440,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","445,450c445,450\n","< 35,269.64441254735,0.8207,0.9007029971500886,1980,1320,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 36,266.39044561982155,0.8218,0.9012995365067996,2040,1360,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 37,261.5058639347553,0.8277,0.9045335593354628,2100,1400,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 38,259.39445120096207,0.8298,0.9058920241393345,2160,1440,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 39,254.27309584617612,0.837,0.9098399118744992,2220,1480,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 40,251.20267117023468,0.8401,0.9114801523275656,2280,1520,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 35,269.64441254734993,0.8207,0.9007029971500886,1980,1320,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 36,266.39044561982155,0.8218,0.9012995365067995,2040,1360,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 37,261.5058639347553,0.8277,0.9045335593354629,2100,1400,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 38,259.39445120096207,0.8298,0.9058920241393343,2160,1440,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 39,254.27309584617615,0.837,0.9098399118744993,2220,1480,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 40,251.20267117023468,0.8401,0.9114801523275655,2280,1520,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","453,454c453,454\n","< 43,239.72084683179853,0.8478,0.9158973306972976,2460,1640,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 44,237.25567835569385,0.8457,0.9148582230717648,2520,1680,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 43,239.72084683179855,0.8478,0.9158973306972976,2460,1640,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 44,237.25567835569382,0.8457,0.9148582230717649,2520,1680,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","456c456\n","< 46,231.5334632694721,0.8498,0.9170962925650532,2640,1760,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 46,231.53346326947212,0.8498,0.9170962925650533,2640,1760,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","458,459c458,459\n","< 48,227.1128815412521,0.8513,0.9180341394341464,2760,1840,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","< 49,223.55984634160995,0.8523,0.9186586094169772,2820,1880,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 48,227.11288154125214,0.8513,0.9180341394341465,2760,1840,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","> 49,223.55984634160995,0.8523,0.9186586094169773,2820,1880,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate\n","468c468\n","< 7,469.8192681074143,0.6817,0.8234257254222921,400,100,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 7,469.81926810741425,0.6817,0.8234257254222921,400,100,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","480c480\n","< 19,348.5099013447761,0.7326,0.8533377304334164,1360,340,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 19,348.50990134477615,0.7326,0.8533377304334164,1360,340,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","486c486\n","< 25,315.5765408277512,0.7558,0.8655147589123333,1840,460,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 25,315.57654082775116,0.7558,0.8655147589123333,1840,460,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","501,509c501,509\n","< 40,247.4144510924816,0.827,0.9049131776040332,3040,760,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 41,242.27478370070455,0.8352,0.9093856536667904,3120,780,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 42,241.11444184184077,0.8339,0.9088012627257992,3200,800,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 43,236.48861888051036,0.8396,0.9119669132130256,3280,820,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 44,234.78459832072255,0.8372,0.9108712423151288,3360,840,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 45,228.82145246863365,0.8462,0.9156075098171972,3440,860,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 46,226.6566316783428,0.8467,0.915514097213667,3520,880,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 47,224.12927359342572,0.8457,0.9150532242988972,3600,900,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 48,222.4000843465328,0.8447,0.914675377294626,3680,920,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 40,247.4144510924816,0.827,0.9049131776040331,3040,760,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 41,242.27478370070457,0.8352,0.9093856536667904,3120,780,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 42,241.11444184184074,0.8339,0.9088012627257992,3200,800,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 43,236.48861888051033,0.8396,0.9119669132130257,3280,820,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 44,234.78459832072258,0.8372,0.9108712423151288,3360,840,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 45,228.82145246863365,0.8462,0.9156075098171973,3440,860,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 46,226.65663167834282,0.8467,0.915514097213667,3520,880,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 47,224.12927359342575,0.8457,0.9150532242988973,3600,900,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 48,222.40008434653282,0.8447,0.9146753772946259,3680,920,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","511c511\n","< 50,218.32767590880397,0.843,0.9136043462539224,3840,960,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 50,218.32767590880394,0.843,0.9136043462539225,3840,960,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","533c533\n","< 21,322.5844233632088,0.7952,0.888873508576719,1520,380,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 21,322.58442336320877,0.7952,0.888873508576719,1520,380,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","540,542c540,542\n","< 28,288.6343223154545,0.818,0.9009183178575756,2080,520,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 29,284.4864563941956,0.8252,0.9053383398772038,2160,540,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 30,278.6972675025463,0.8297,0.9073820377739948,2240,560,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 28,288.6343223154545,0.818,0.9009183178575757,2080,520,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 29,284.48645639419556,0.8252,0.9053383398772038,2160,540,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 30,278.6972675025463,0.8297,0.9073820377739947,2240,560,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","544,546c544,546\n","< 32,276.22960472106934,0.8181,0.9012570426225356,2400,600,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 33,270.6527534723282,0.8249,0.9047708565333789,2480,620,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 34,267.177842438221,0.8289,0.9070568141871296,2560,640,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 32,276.22960472106934,0.8181,0.9012570426225357,2400,600,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 33,270.6527534723282,0.8249,0.9047708565333787,2480,620,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 34,267.177842438221,0.8289,0.9070568141871295,2560,640,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","549,550c549,550\n","< 37,254.63290056586263,0.8425,0.9142047605415986,2800,700,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 38,253.5898394584656,0.8422,0.9140980524117368,2880,720,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 37,254.63290056586266,0.8425,0.9142047605415986,2800,700,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 38,253.58983945846558,0.8422,0.9140980524117367,2880,720,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","553c553\n","< 41,241.15152052044868,0.8468,0.9165301325051384,3120,780,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 41,241.15152052044868,0.8468,0.9165301325051383,3120,780,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","556c556\n","< 44,232.6304311156273,0.8451,0.9156355902324076,3360,840,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 44,232.6304311156273,0.8451,0.9156355902324075,3360,840,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","559c559\n","< 47,222.9888748526573,0.852,0.9192984399272937,3600,900,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 47,222.98887485265732,0.852,0.9192984399272935,3600,900,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","562,563c562,563\n","< 50,215.5727717578411,0.8561,0.9212575314279704,3840,960,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 0,724.7524998188019,0.105,0.4999426842625741,0,0,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 50,215.5727717578411,0.8561,0.9212575314279705,3840,960,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 0,724.7524998188019,0.105,0.49994268426257416,0,0,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","572c572\n","< 9,437.7606093883514,0.7376,0.8529039912202159,560,140,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 9,437.76060938835144,0.7376,0.8529039912202159,560,140,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","576c576\n","< 13,386.1349909305573,0.788,0.8818196051502589,880,220,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 13,386.13499093055725,0.788,0.8818196051502589,880,220,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","579c579\n","< 16,361.480971634388,0.7963,0.8866553512817633,1120,280,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 16,361.48097163438797,0.7963,0.8866553512817633,1120,280,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","583,585c583,585\n","< 20,330.95943880081177,0.8227,0.9014420164082428,1440,360,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 21,325.4755145311356,0.8182,0.8988416718986793,1520,380,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 22,319.333223938942,0.821,0.9004240765571806,1600,400,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 20,330.95943880081177,0.8227,0.9014420164082427,1440,360,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 21,325.47551453113556,0.8182,0.8988416718986793,1520,380,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 22,319.33322393894196,0.821,0.9004240765571806,1600,400,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","591,593c591,593\n","< 28,287.4964659512043,0.8402,0.9109619775489528,2080,520,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 29,282.83433762192726,0.8479,0.9157000331998923,2160,540,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 30,276.6261873245239,0.8511,0.9173464281472096,2240,560,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 28,287.4964659512043,0.8402,0.9109619775489529,2080,520,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 29,282.83433762192726,0.8479,0.9157000331998925,2160,540,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 30,276.6261873245239,0.8511,0.9173464281472095,2240,560,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","596c596\n","< 33,266.0403924286365,0.8507,0.9171408977579738,2480,620,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 33,266.04039242863655,0.8507,0.9171408977579738,2480,620,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","600,601c600,601\n","< 37,248.936192125082,0.8679,0.9267735864594376,2800,700,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 38,247.12084594368932,0.8695,0.9276033549437124,2880,720,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 37,248.93619212508202,0.8679,0.9267735864594375,2800,700,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 38,247.12084594368935,0.8695,0.9276033549437124,2880,720,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","603,604c603,604\n","< 40,237.16044920682907,0.8744,0.9301592943963636,3040,760,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 41,235.71548515558243,0.8695,0.9275878220555056,3120,780,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 40,237.16044920682907,0.8744,0.9301592943963637,3040,760,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 41,235.71548515558243,0.8695,0.9275878220555057,3120,780,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","607c607\n","< 44,224.0139511227608,0.8722,0.9290850990616024,3360,840,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 44,224.01395112276077,0.8722,0.9290850990616025,3360,840,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","609,611c609,611\n","< 46,216.0451682507992,0.8776,0.932157907218718,3520,880,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 47,214.59382912516597,0.8769,0.9317759774105676,3600,900,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 48,211.69527357816696,0.8812,0.9340891244009476,3680,920,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 46,216.04516825079918,0.8776,0.932157907218718,3520,880,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 47,214.59382912516594,0.8769,0.9317759774105676,3600,900,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 48,211.69527357816696,0.8812,0.9340891244009477,3680,920,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","613c613\n","< 50,206.90914857387543,0.8835,0.9352776645590876,3840,960,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 50,206.90914857387543,0.8835,0.9352776645590877,3840,960,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","621c621\n","< 7,468.7954839468002,0.7184,0.8410352899087803,400,100,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 7,468.79548394680023,0.7184,0.8410352899087803,400,100,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","628c628\n","< 14,373.507826924324,0.7651,0.8687048687983626,960,240,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 14,373.50782692432404,0.7651,0.8687048687983626,960,240,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","647c647\n","< 33,268.5225474238396,0.8069,0.8929247829301967,2480,620,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 33,268.52254742383957,0.8069,0.8929247829301967,2480,620,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","652,653c652,653\n","< 38,246.6452942788601,0.8377,0.909909232365058,2880,720,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 39,242.09620651602745,0.8396,0.9109787346121944,2960,740,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 38,246.6452942788601,0.8377,0.9099092323650579,2880,720,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 39,242.09620651602745,0.8396,0.9109787346121945,2960,740,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","656,660c656,660\n","< 42,235.23863783478737,0.8363,0.9090921883679332,3200,800,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 43,229.1138169467449,0.845,0.9140975948801386,3280,820,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 44,228.54115742444992,0.8374,0.9099550909989236,3360,840,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 45,227.19092282652852,0.8382,0.9105400341405552,3440,860,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","< 46,222.949145257473,0.8407,0.9119408074364352,3520,880,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 42,235.23863783478737,0.8363,0.9090921883679333,3200,800,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 43,229.11381694674492,0.845,0.9140975948801386,3280,820,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 44,228.54115742444992,0.8374,0.9099550909989235,3360,840,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 45,227.19092282652855,0.8382,0.9105400341405551,3440,860,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","> 46,222.949145257473,0.8407,0.9119408074364351,3520,880,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","663c663\n","< 49,215.6341263055801,0.847,0.9154162126756,3760,940,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","---\n","> 49,215.63412630558014,0.847,0.9154162126756,3760,940,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate\n","665c665\n","< 0,725.4783990383148,0.0893,0.4930782657367228,0,0,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 0,725.4783990383148,0.0893,0.49307826573672286,0,0,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","670c670\n","< 5,505.7796247005463,0.7123,0.8369035763872124,0,300,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 5,505.77962470054626,0.7123,0.8369035763872124,0,300,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","674,675c674,675\n","< 9,435.0639593005181,0.7315,0.8482250682772972,0,700,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 10,423.1528919935226,0.7325,0.8488536592751664,0,800,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 9,435.06395930051804,0.7315,0.8482250682772972,0,700,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 10,423.15289199352264,0.7325,0.8488536592751664,0,800,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","677c677\n","< 12,403.2225745916367,0.7359,0.8509510920272396,0,1000,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 12,403.22257459163666,0.7359,0.8509510920272396,0,1000,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","679c679\n","< 14,386.9279273152352,0.7381,0.8523423065688844,0,1200,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 14,386.92792731523514,0.7381,0.8523423065688844,0,1200,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","683c683\n","< 18,360.9465532302856,0.7457,0.8568457259567726,0,1600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 18,360.94655323028564,0.7457,0.8568457259567726,0,1600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","688c688\n","< 23,336.3161295652389,0.7548,0.8622049369727487,0,2100,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 23,336.31612956523895,0.7548,0.8622049369727487,0,2100,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","693c693\n","< 28,316.8891353011132,0.7612,0.865856672598141,0,2600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 28,316.88913530111313,0.7612,0.865856672598141,0,2600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","716c716\n","< 0,722.0338740348816,0.0854,0.4885744666470658,0,0,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 0,722.0338740348816,0.0854,0.48857446664706583,0,0,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","727c727\n","< 11,419.9580882787705,0.6729,0.8175913054995847,180,720,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 11,419.95808827877045,0.6729,0.8175913054995847,180,720,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","733,734c733,734\n","< 17,371.9239163398743,0.6971,0.8308526570128718,300,1200,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 18,365.8623090386391,0.6999,0.8323840102008194,320,1280,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 17,371.92391633987427,0.6971,0.8308526570128718,300,1200,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 18,365.86230903863907,0.6999,0.8323840102008194,320,1280,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","737c737\n","< 21,348.6771786808968,0.7134,0.839894014397529,380,1520,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 21,348.67717868089676,0.7134,0.839894014397529,380,1520,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","746c746\n","< 30,307.7419494390488,0.7422,0.855639726193019,560,2240,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 30,307.74194943904877,0.7422,0.855639726193019,560,2240,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","750c750\n","< 34,293.0566073060036,0.754,0.8622021497041545,640,2560,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 34,293.05660730600357,0.754,0.8622021497041545,640,2560,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","754c754\n","< 38,278.8576234877109,0.766,0.8688250401624309,720,2880,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 38,278.85762348771095,0.766,0.8688250401624309,720,2880,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","759c759\n","< 43,262.6292518675328,0.7853,0.8797105401413919,820,3280,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 43,262.62925186753273,0.7853,0.8797105401413919,820,3280,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","761,762c761,762\n","< 45,255.27365842461583,0.7944,0.8848252794783107,860,3440,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 46,252.95709538459775,0.7943,0.884747207522687,880,3520,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 45,255.27365842461586,0.7944,0.8848252794783107,860,3440,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 46,252.95709538459778,0.7943,0.884747207522687,880,3520,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","764,765c764,765\n","< 48,246.76616850495336,0.8015,0.8887266060755306,920,3680,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 49,242.86097180843356,0.8095,0.8932159087334167,940,3760,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 48,246.76616850495338,0.8015,0.8887266060755306,920,3680,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 49,242.86097180843353,0.8095,0.8932159087334167,940,3760,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","774c774\n","< 7,465.4953653812408,0.7244,0.849459803958354,100,400,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 7,465.49536538124084,0.7244,0.849459803958354,100,400,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","779c779\n","< 12,404.8656504154205,0.7431,0.8597745335839532,200,800,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 12,404.86565041542053,0.7431,0.8597745335839532,200,800,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","793c793\n","< 26,318.1644234657288,0.7928,0.8866091306559474,480,1920,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 26,318.16442346572876,0.7928,0.8866091306559474,480,1920,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","806,807c806,807\n","< 39,266.9081275463104,0.829,0.9060458384845608,740,2960,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 40,262.19895127415657,0.8354,0.9095172230138596,760,3040,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 39,266.9081275463104,0.829,0.9060458384845609,740,2960,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 40,262.19895127415657,0.8354,0.9095172230138597,760,3040,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","810,814c810,814\n","< 43,251.1356758773327,0.8443,0.914472811925246,820,3280,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 44,248.87913504242897,0.8431,0.91392253198261,840,3360,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 45,245.3096205294132,0.8457,0.9152953787348508,860,3440,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 46,241.68579378724095,0.8493,0.9172076959592028,880,3520,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 47,238.78697592020035,0.8498,0.9175472849735832,900,3600,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 43,251.1356758773327,0.8443,0.9144728119252459,820,3280,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 44,248.87913504242897,0.8431,0.9139225319826101,840,3360,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 45,245.30962052941322,0.8457,0.9152953787348507,860,3440,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 46,241.68579378724098,0.8493,0.9172076959592029,880,3520,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 47,238.78697592020035,0.8498,0.9175472849735833,900,3600,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","816,817c816,817\n","< 49,233.31141862273216,0.8534,0.919433249306,940,3760,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 50,231.20849266648293,0.8535,0.9194867934733169,960,3840,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 49,233.31141862273216,0.8534,0.9194332493060001,940,3760,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 50,231.20849266648293,0.8535,0.9194867934733167,960,3840,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","832,833c832,833\n","< 14,471.704679608345,0.7288,0.8479431967169487,38,758,202,202,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 15,466.6226083040237,0.7386,0.8534277856290405,42,822,218,218,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 14,471.70467960834503,0.7288,0.8479431967169487,38,758,202,202,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 15,466.62260830402374,0.7386,0.8534277856290405,42,822,218,218,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","836c836\n","< 18,461.3226861953736,0.7434,0.8559032173460397,48,1008,272,272,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 18,461.32268619537354,0.7434,0.8559032173460397,48,1008,272,272,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","842c842\n","< 24,449.3582143783569,0.7586,0.8644800124881398,66,1386,374,374,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 24,449.35821437835693,0.7586,0.8644800124881398,66,1386,374,374,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","851,852c851,852\n","< 33,442.0527876615524,0.7519,0.8605875829869856,80,1940,540,540,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 34,439.3628746271133,0.7568,0.8632885673916038,85,2005,555,555,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 33,442.05278766155243,0.7519,0.8605875829869856,80,1940,540,540,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 34,439.36287462711334,0.7568,0.8632885673916038,85,2005,555,555,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","860c860\n","< 42,429.7889832258225,0.7697,0.8705550927664618,107,2507,693,693,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 42,429.78898322582245,0.7697,0.8705550927664618,107,2507,693,693,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","864,865c864,865\n","< 46,422.6253950595856,0.7732,0.8725293124345098,124,2764,756,756,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 47,420.9921556115151,0.7775,0.874935122247298,128,2828,772,772,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 46,422.62539505958557,0.7732,0.8725293124345098,124,2764,756,756,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 47,420.99215561151505,0.7775,0.874935122247298,128,2828,772,772,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","868c868\n","< 50,420.3569419384002,0.7803,0.8765586109201611,135,3015,825,825,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 50,420.35694193840027,0.7803,0.8765586109201611,135,3015,825,825,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","877c877\n","< 8,436.4232850670815,0.6901,0.8277786868656241,120,480,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 8,436.42328506708145,0.6901,0.8277786868656241,120,480,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","882,884c882,884\n","< 13,383.6349036097527,0.706,0.8372384299657124,220,880,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 14,375.1736285090447,0.7119,0.8405900683084976,240,960,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 15,367.8958085775376,0.7154,0.84259116332069,260,1040,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 13,383.63490360975266,0.706,0.8372384299657124,220,880,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 14,375.17362850904465,0.7119,0.8405900683084976,240,960,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 15,367.89580857753754,0.7154,0.84259116332069,260,1040,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","889c889\n","< 20,337.43830794096,0.7324,0.8521091038079376,360,1440,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 20,337.43830794095993,0.7324,0.8521091038079376,360,1440,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","908c908\n","< 39,259.5232393741608,0.7977,0.888474169980958,740,2960,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 39,259.52323937416077,0.7977,0.888474169980958,740,2960,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","910,911c910,911\n","< 41,251.19375604391095,0.8095,0.8949932049161813,780,3120,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 42,247.63025996088984,0.8155,0.8984522266755448,800,3200,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 41,251.19375604391098,0.8095,0.8949932049161813,780,3120,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 42,247.63025996088982,0.8155,0.8984522266755448,800,3200,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","914,915c914,915\n","< 45,239.97296503186223,0.8195,0.9009071107422548,860,3440,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 46,236.6619488596916,0.8248,0.9037889991959956,880,3520,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 45,239.97296503186226,0.8195,0.9009071107422549,860,3440,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 46,236.66194885969162,0.8248,0.9037889991959955,880,3520,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","918,919c918,919\n","< 49,228.451514929533,0.8314,0.9074023650009468,940,3760,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 50,226.48391288518903,0.8318,0.907661107391566,960,3840,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 49,228.451514929533,0.8314,0.9074023650009467,940,3760,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 50,226.48391288518906,0.8318,0.9076611073915661,960,3840,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","926,927c926,927\n","< 6,494.8998837471008,0.6442,0.801586016740303,240,160,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 7,475.5614248514176,0.6563,0.8083222134515825,300,200,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 6,494.89988374710083,0.6442,0.801586016740303,240,160,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 7,475.56142485141754,0.6563,0.8083222134515825,300,200,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","931c931\n","< 11,426.7471944689751,0.676,0.8197913312282644,540,360,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 11,426.74719446897507,0.676,0.8197913312282644,540,360,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","933,934c933,934\n","< 13,407.2792902588844,0.69,0.8274350570239261,660,440,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 14,398.7996862530708,0.7017,0.833814296745121,720,480,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 13,407.27929025888443,0.69,0.8274350570239261,660,440,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 14,398.79968625307083,0.7017,0.833814296745121,720,480,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","937c937\n","< 17,382.2426803708077,0.6918,0.8288412381182759,900,600,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 17,382.24268037080765,0.6918,0.8288412381182759,900,600,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","939c939\n","< 19,369.9606866240501,0.6951,0.8307141648269193,1020,680,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 19,369.96068662405014,0.6951,0.8307141648269193,1020,680,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","953c953\n","< 33,308.3604210019112,0.7262,0.8494786072419954,1860,1240,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 33,308.36042100191116,0.7262,0.8494786072419954,1860,1240,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","971c971\n","< 0,719.1563293933868,0.0828,0.4877378550041604,0,0,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 0,719.1563293933868,0.0828,0.48773785500416045,0,0,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","978c978\n","< 7,476.1414858102799,0.708,0.8373640016343709,300,200,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 7,476.14148581027985,0.708,0.8373640016343709,300,200,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","982,983c982,983\n","< 11,421.0648488402367,0.7312,0.8513374624523387,540,360,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 12,410.3044182658196,0.7302,0.8510065166631282,600,400,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 11,421.06484884023666,0.7312,0.8513374624523387,540,360,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 12,410.30441826581955,0.7302,0.8510065166631282,600,400,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1007,1008c1007,1008\n","< 36,265.94033801555634,0.8314,0.9064561950952336,2040,1360,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 37,260.5030308663845,0.8347,0.9083269036130852,2100,1400,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 36,265.94033801555634,0.8314,0.9064561950952335,2040,1360,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 37,260.5030308663845,0.8347,0.9083269036130851,2100,1400,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1010,1015c1010,1015\n","< 39,252.19369128346443,0.8414,0.9120259539437172,2220,1480,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 40,247.4850693643093,0.8467,0.9147938146548223,2280,1520,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 41,245.1367498934269,0.8419,0.9123436099029748,2340,1560,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 42,238.63570043444636,0.8537,0.9186753448416164,2400,1600,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 43,234.5217825472355,0.8502,0.9168367480135232,2460,1640,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 44,231.21686604619023,0.8537,0.9188923146119992,2520,1680,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 39,252.19369128346443,0.8414,0.9120259539437173,2220,1480,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 40,247.4850693643093,0.8467,0.9147938146548225,2280,1520,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 41,245.1367498934269,0.8419,0.9123436099029749,2340,1560,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 42,238.63570043444633,0.8537,0.9186753448416164,2400,1600,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 43,234.5217825472355,0.8502,0.9168367480135231,2460,1640,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 44,231.21686604619026,0.8537,0.9188923146119992,2520,1680,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1019c1019\n","< 48,218.0372880101204,0.8666,0.9260039568734576,2760,1840,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 48,218.0372880101204,0.8666,0.9260039568734577,2760,1840,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1028c1028\n","< 6,490.1791826486588,0.6847,0.8234170065921036,240,160,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 6,490.17918264865875,0.6847,0.8234170065921036,240,160,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1030c1030\n","< 8,455.7605956792832,0.69,0.8266385194537442,360,240,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 8,455.76059567928314,0.69,0.8266385194537442,360,240,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1034c1034\n","< 12,405.1279730200768,0.7238,0.8453843244712214,600,400,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 12,405.12797302007675,0.7238,0.8453843244712214,600,400,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1037c1037\n","< 15,375.618688762188,0.7569,0.8639934210929869,780,520,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 15,375.61868876218796,0.7569,0.8639934210929869,780,520,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1062,1063c1062,1063\n","< 40,252.9414568841457,0.8296,0.904885862822934,2280,1520,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 41,253.2367979288101,0.8215,0.9006410558018929,2340,1560,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 40,252.94145688414574,0.8296,0.9048858628229339,2280,1520,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 41,253.23679792881012,0.8215,0.9006410558018929,2340,1560,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1065c1065\n","< 43,242.87684950232503,0.8321,0.9064196120639072,2460,1640,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 43,242.87684950232506,0.8321,0.9064196120639073,2460,1640,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1068,1069c1068,1069\n","< 46,233.0719223022461,0.8417,0.912065029270254,2640,1760,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 47,232.3407300114632,0.8344,0.9080414480156926,2700,1800,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 46,233.0719223022461,0.8417,0.9120650292702541,2640,1760,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 47,232.34073001146317,0.8344,0.9080414480156926,2700,1800,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1071c1071\n","< 49,229.8004187643528,0.8314,0.9063914960795956,2820,1880,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 49,229.8004187643528,0.8314,0.9063914960795957,2820,1880,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1082c1082\n","< 9,436.8661753535271,0.6576,0.8083492035540761,420,280,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 9,436.86617535352707,0.6576,0.8083492035540761,420,280,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1084,1085c1084,1085\n","< 11,413.0753965377808,0.6863,0.8243580184321674,540,360,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 12,403.1575587391853,0.694,0.828656481707642,600,400,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 11,413.07539653778076,0.6863,0.8243580184321674,540,360,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 12,403.15755873918533,0.694,0.828656481707642,600,400,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1087c1087\n","< 14,385.6631174087525,0.7098,0.8376552350227463,720,480,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 14,385.66311740875244,0.7098,0.8376552350227463,720,480,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1089,1090c1089,1090\n","< 16,372.752679347992,0.7152,0.8407012734397871,840,560,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 17,363.0952144861221,0.7333,0.8505706650943994,900,600,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 16,372.75267934799194,0.7152,0.8407012734397871,840,560,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 17,363.09521448612213,0.7333,0.8505706650943994,900,600,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1116c1116\n","< 43,253.1233513355255,0.8251,0.902419268415406,2460,1640,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 43,253.1233513355255,0.8251,0.9024192684154059,2460,1640,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1119c1119\n","< 46,245.6424387693405,0.8295,0.9050556791235526,2640,1760,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 46,245.64243876934052,0.8295,0.9050556791235526,2640,1760,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1121c1121\n","< 48,240.14372372627255,0.8343,0.9078909312220282,2760,1840,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 48,240.14372372627258,0.8343,0.9078909312220282,2760,1840,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1123c1123\n","< 50,236.33960208296776,0.8279,0.9043813221455111,2880,1920,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 50,236.33960208296776,0.8279,0.9043813221455113,2880,1920,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1132c1132\n","< 8,475.3428300619125,0.6528,0.8052951928595962,480,120,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 8,475.34283006191254,0.6528,0.8052951928595962,480,120,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1142,1144c1142,1144\n","< 18,381.6847965717316,0.7172,0.8412924687914609,1280,320,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 19,379.7977724075317,0.7005,0.8322388322996318,1360,340,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 20,372.6545172333717,0.702,0.8327528598188326,1440,360,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 18,381.68479657173157,0.7172,0.8412924687914609,1280,320,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 19,379.79777240753174,0.7005,0.8322388322996318,1360,340,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 20,372.65451723337173,0.702,0.8327528598188326,1440,360,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1153c1153\n","< 29,327.1385751366616,0.7525,0.8611120401769281,2160,540,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 29,327.13857513666153,0.7525,0.8611120401769281,2160,540,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1189c1189\n","< 14,380.2536673545837,0.6952,0.8300846704581352,960,240,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 14,380.25366735458374,0.6952,0.8300846704581352,960,240,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1213,1217c1213,1217\n","< 38,256.6416989564896,0.8159,0.8977849736044343,2880,720,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 39,250.82639652490616,0.8215,0.9007412185670536,2960,740,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 40,244.80181822180748,0.8308,0.9057585462346656,3040,760,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 41,243.57577794790268,0.8273,0.9040471211208204,3120,780,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 42,240.9998639523983,0.8293,0.9051205424698155,3200,800,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 38,256.64169895648956,0.8159,0.8977849736044343,2880,720,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 39,250.82639652490616,0.8215,0.9007412185670537,2960,740,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 40,244.80181822180748,0.8308,0.9057585462346657,3040,760,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 41,243.57577794790268,0.8273,0.9040471211208203,3120,780,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 42,240.9998639523983,0.8293,0.9051205424698157,3200,800,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1219,1220c1219,1220\n","< 44,234.60437813401225,0.8297,0.905828681712445,3360,840,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 45,230.6449437737465,0.8367,0.9098318378346896,3440,860,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 44,234.60437813401222,0.8297,0.905828681712445,3360,840,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 45,230.6449437737465,0.8367,0.9098318378346895,3440,860,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1222c1222\n","< 47,224.4278733432293,0.844,0.9137563769114608,3600,900,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 47,224.4278733432293,0.844,0.9137563769114607,3600,900,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1224,1225c1224,1225\n","< 49,218.08804169297215,0.8499,0.9172467258931072,3760,940,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 50,215.4389624297619,0.8533,0.918896147983666,3840,960,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 49,218.08804169297218,0.8499,0.9172467258931072,3760,940,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 50,215.4389624297619,0.8533,0.9188961479836661,3840,960,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1232c1232\n","< 6,499.6577279567719,0.6016,0.7807191851707718,320,80,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 6,499.65772795677185,0.6016,0.7807191851707718,320,80,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1238c1238\n","< 12,421.2784726619721,0.6451,0.804727994205426,800,200,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 12,421.27847266197205,0.6451,0.804727994205426,800,200,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1241c1241\n","< 15,393.0565231442452,0.6655,0.8159660715691818,1040,260,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 15,393.05652314424515,0.6655,0.8159660715691818,1040,260,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1245c1245\n","< 19,371.283694922924,0.6807,0.8243998052543136,1360,340,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 19,371.28369492292404,0.6807,0.8243998052543136,1360,340,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1262c1262\n","< 36,293.114183485508,0.7658,0.8714642786012886,2720,680,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 36,293.11418348550797,0.7658,0.8714642786012886,2720,680,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1269c1269\n","< 43,270.1188036501408,0.7906,0.8849452955485647,3280,820,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 43,270.11880365014076,0.7906,0.8849452955485647,3280,820,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1273c1273\n","< 47,255.6318503916264,0.8104,0.8962922484379197,3600,900,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 47,255.63185039162636,0.8104,0.8962922484379197,3600,900,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1275c1275\n","< 49,253.3725361227989,0.8089,0.8953618560507801,3760,940,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 49,253.37253612279892,0.8089,0.8953618560507801,3760,940,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1285c1285\n","< 8,460.2896277904511,0.6582,0.8114238995402477,480,120,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 8,460.28962779045105,0.6582,0.8114238995402477,480,120,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1322,1324c1322,1324\n","< 45,251.32896345853808,0.823,0.9024973918539414,3440,860,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 46,246.6129721701145,0.8238,0.902964130822734,3520,880,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","< 47,245.88288536667824,0.8228,0.9025468222864796,3600,900,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","---\n","> 45,251.32896345853806,0.823,0.9024973918539414,3440,860,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 46,246.61297217011452,0.8238,0.9029641308227339,3520,880,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","> 47,245.88288536667824,0.8228,0.9025468222864795,3600,900,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_trimmed_avg\n","1336c1336\n","< 8,464.7763378620148,0.6418,0.8012294390283033,0,600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 8,464.77633786201477,0.6418,0.8012294390283033,0,600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1348c1348\n","< 20,364.8115987181664,0.7104,0.8395753333384309,0,1800,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 20,364.81159871816635,0.7104,0.8395753333384309,0,1800,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1388c1388\n","< 9,453.6348769664765,0.6719,0.8193874355441653,140,560,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 9,453.63487696647644,0.6719,0.8193874355441653,140,560,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1393c1393\n","< 14,401.9211477041245,0.7224,0.8475873954637894,240,960,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 14,401.92114770412445,0.7224,0.8475873954637894,240,960,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1397c1397\n","< 18,372.5059199929237,0.7473,0.8613479315379917,320,1280,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 18,372.50591999292374,0.7473,0.8613479315379917,320,1280,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1417,1418c1417,1418\n","< 38,279.5064374804497,0.8219,0.9028698367951864,720,2880,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 39,276.0249148607254,0.8261,0.9051137240569308,740,2960,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 38,279.5064374804497,0.8219,0.9028698367951863,720,2880,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 39,276.0249148607254,0.8261,0.9051137240569307,740,2960,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1420,1422c1420,1422\n","< 41,269.82970038056374,0.8289,0.906867818864352,780,3120,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 42,267.1029510200024,0.8287,0.906892092377914,800,3200,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 43,263.64870434999466,0.8316,0.90853457819014,820,3280,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 41,269.82970038056374,0.8289,0.9068678188643521,780,3120,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 42,267.10295102000237,0.8287,0.906892092377914,800,3200,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 43,263.64870434999466,0.8316,0.9085345781901399,820,3280,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1425c1425\n","< 46,255.76061064004895,0.835,0.91055161466218,880,3520,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 46,255.76061064004898,0.835,0.9105516146621799,880,3520,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1428,1429c1428,1429\n","< 49,245.4986724257469,0.8474,0.9172530484622128,940,3760,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 50,243.07982432842252,0.8468,0.916950154706805,960,3840,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 49,245.49867242574692,0.8474,0.9172530484622128,940,3760,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 50,243.07982432842255,0.8468,0.916950154706805,960,3840,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1436c1436\n","< 6,473.1805608272553,0.7232,0.8446908853895984,80,320,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 6,473.18056082725525,0.7232,0.8446908853895984,80,320,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1448c1448\n","< 18,339.9320880770684,0.7728,0.8742565516033138,320,1280,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 18,339.93208807706833,0.7728,0.8742565516033138,320,1280,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1464,1465c1464,1465\n","< 34,258.33538043499,0.8151,0.8978716902997856,640,2560,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 35,253.3561181128025,0.8209,0.9010861085476608,660,2640,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 34,258.33538043498993,0.8151,0.8978716902997856,640,2560,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 35,253.3561181128025,0.8209,0.9010861085476609,660,2640,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1468c1468\n","< 38,244.1506149172783,0.8209,0.9012454120482336,720,2880,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 38,244.1506149172783,0.8209,0.9012454120482337,720,2880,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1470,1474c1470,1474\n","< 40,235.83175802230835,0.8293,0.9056799901281424,760,3040,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 41,232.3114383220673,0.8312,0.906696103500235,780,3120,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 42,228.584326595068,0.8367,0.9097831035710584,800,3200,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 43,224.8873911499977,0.8389,0.9110310504834188,820,3280,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 44,222.99379724264145,0.8363,0.9096739977804064,840,3360,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 40,235.83175802230835,0.8293,0.9056799901281425,760,3040,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 41,232.31143832206726,0.8312,0.906696103500235,780,3120,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 42,228.58432659506798,0.8367,0.9097831035710584,800,3200,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 43,224.8873911499977,0.8389,0.9110310504834187,820,3280,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 44,222.99379724264145,0.8363,0.9096739977804065,840,3360,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1477c1477\n","< 47,214.02045810222623,0.8418,0.9127248288073438,900,3600,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 47,214.02045810222626,0.8418,0.9127248288073438,900,3600,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1492c1492\n","< 11,497.0133258104324,0.6342,0.7955219971513211,19,559,161,161,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 11,497.01332581043243,0.6342,0.7955219971513211,19,559,161,161,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1495c1495\n","< 14,481.0177314281464,0.6419,0.7999573502251819,28,748,212,212,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 14,481.01773142814636,0.6419,0.7999573502251819,28,748,212,212,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1499c1499\n","< 18,465.2556521892548,0.6526,0.8058072475529727,42,1002,278,278,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 18,465.25565218925476,0.6526,0.8058072475529727,42,1002,278,278,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1510,1512c1510,1512\n","< 29,448.4457901716232,0.6411,0.799715444107086,72,1692,468,468,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 30,446.6508096456528,0.6388,0.7984500629289907,76,1756,484,484,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 31,442.9852379560471,0.6414,0.7999420551240247,84,1824,496,496,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 29,448.44579017162323,0.6411,0.799715444107086,72,1692,468,468,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 30,446.65080964565277,0.6388,0.7984500629289907,76,1756,484,484,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 31,442.98523795604706,0.6414,0.7999420551240247,84,1824,496,496,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1520c1520\n","< 39,435.914495229721,0.6457,0.8022402558737056,106,2326,634,634,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 39,435.91449522972107,0.6457,0.8022402558737056,106,2326,634,634,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1523,1524c1523,1524\n","< 42,429.8532596826553,0.6537,0.8067071590050539,122,2522,678,678,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 43,429.3077204227448,0.6545,0.807181396482043,124,2584,696,696,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 42,429.85325968265533,0.6537,0.8067071590050539,122,2522,678,678,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 43,429.30772042274475,0.6545,0.807181396482043,124,2584,696,696,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1531c1531\n","< 50,425.8632417917252,0.649,0.8041842557170827,147,3027,813,813,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 50,425.86324179172516,0.649,0.8041842557170827,147,3027,813,813,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1538c1538\n","< 6,504.5438023805618,0.6348,0.7981364496692284,80,320,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 6,504.54380238056183,0.6348,0.7981364496692284,80,320,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1548,1549c1548,1549\n","< 16,394.2315281629562,0.7148,0.8415664798208358,280,1120,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 17,386.7995578050613,0.7249,0.846918118027095,300,1200,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 16,394.23152816295624,0.7148,0.8415664798208358,280,1120,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 17,386.79955780506134,0.7249,0.846918118027095,300,1200,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1575c1575\n","< 43,273.1894118487835,0.8248,0.9021770644894384,820,3280,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 43,273.1894118487835,0.8248,0.9021770644894385,820,3280,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1578,1579c1578,1579\n","< 46,264.6923571228981,0.8279,0.9039264605684976,880,3520,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 47,262.38246685266495,0.8274,0.9036763746440232,900,3600,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 46,264.6923571228981,0.8279,0.9039264605684977,880,3520,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 47,262.38246685266495,0.8274,0.9036763746440231,900,3600,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1582c1582\n","< 50,254.6368228793144,0.8294,0.9048271115507523,960,3840,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 50,254.63682287931442,0.8294,0.9048271115507523,960,3840,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1588,1590c1588,1590\n","< 5,501.933190703392,0.6795,0.8221073405531095,180,120,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 6,482.351044178009,0.6877,0.8266201796217676,240,160,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 7,464.5350360870361,0.6909,0.8285080418332402,300,200,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 5,501.93319070339203,0.6795,0.8221073405531095,180,120,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 6,482.35104417800903,0.6877,0.8266201796217676,240,160,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 7,464.53503608703613,0.6909,0.8285080418332402,300,200,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1593,1594c1593,1594\n","< 10,424.5673075318337,0.7082,0.8380662589652349,480,320,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 11,415.2471328377724,0.7026,0.8354852165295847,540,360,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 10,424.56730753183365,0.7082,0.8380662589652349,480,320,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 11,415.24713283777237,0.7026,0.8354852165295847,540,360,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1598c1598\n","< 15,381.060920894146,0.7142,0.8419929108521368,780,520,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 15,381.06092089414597,0.7142,0.8419929108521368,780,520,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1601c1601\n","< 18,363.0201218128204,0.7116,0.8402152223705309,960,640,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 18,363.02012181282043,0.7116,0.8402152223705309,960,640,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1627,1629c1627,1629\n","< 44,251.57860505580905,0.7899,0.8845574041326414,2520,1680,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 45,248.61328655481336,0.7907,0.8847283837737384,2580,1720,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 46,245.8974596560001,0.7924,0.8858630526492266,2640,1760,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 44,251.57860505580902,0.7899,0.8845574041326414,2520,1680,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 45,248.61328655481339,0.7907,0.8847283837737384,2580,1720,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 46,245.89745965600014,0.7924,0.8858630526492266,2640,1760,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1631c1631\n","< 48,240.08200797438624,0.7947,0.88726758670262,2760,1840,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 48,240.08200797438622,0.7947,0.88726758670262,2760,1840,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1640c1640\n","< 6,491.3909187316895,0.7028,0.8322269134942898,240,160,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 6,491.39091873168945,0.7028,0.8322269134942898,240,160,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1644c1644\n","< 10,431.5239355564117,0.7438,0.8559057105155979,480,320,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 10,431.52393555641174,0.7438,0.8559057105155979,480,320,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1649c1649\n","< 15,380.8619700670242,0.7892,0.8818627363398956,780,520,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 15,380.86197006702423,0.7892,0.8818627363398956,780,520,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1651c1651\n","< 17,366.86940574646,0.7974,0.886482950646897,900,600,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 17,366.86940574645996,0.7974,0.886482950646897,900,600,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1654c1654\n","< 20,348.8218957781792,0.8066,0.8918791984938981,1080,720,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 20,348.82189577817917,0.8066,0.8918791984938981,1080,720,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1660,1661c1660,1661\n","< 26,318.315700173378,0.8255,0.9026738346102696,1440,960,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 27,314.96477496624,0.8279,0.9038621443895656,1500,1000,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 26,318.315700173378,0.8255,0.9026738346102695,1440,960,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 27,314.96477496623993,0.8279,0.9038621443895657,1500,1000,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1664c1664\n","< 30,302.80914747715,0.827,0.903591093956058,1680,1120,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 30,302.80914747714996,0.827,0.903591093956058,1680,1120,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1666c1666\n","< 32,295.4068713784218,0.8307,0.9056451272959184,1800,1200,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 32,295.4068713784218,0.8307,0.9056451272959185,1800,1200,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1668,1669c1668,1669\n","< 34,286.1654578447342,0.8378,0.9095706802312656,1920,1280,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 35,280.94784915447235,0.8426,0.9122990152725292,1980,1320,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 34,286.1654578447342,0.8378,0.9095706802312657,1920,1280,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 35,280.94784915447235,0.8426,0.9122990152725293,1980,1320,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1671c1671\n","< 37,274.0285646021366,0.8447,0.9134809640829812,2100,1400,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 37,274.0285646021366,0.8447,0.9134809640829813,2100,1400,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1673c1673\n","< 39,267.3102614581585,0.8497,0.9162646610036128,2220,1480,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 39,267.3102614581585,0.8497,0.9162646610036127,2220,1480,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1675,1676c1675,1676\n","< 41,261.8735408484936,0.8485,0.915707290854436,2340,1560,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 42,258.5270721614361,0.8525,0.9176974253952612,2400,1600,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 41,261.8735408484936,0.8485,0.9157072908544359,2340,1560,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 42,258.5270721614361,0.8525,0.9176974253952613,2400,1600,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1678,1679c1678,1679\n","< 44,253.0094395577908,0.8523,0.9177860997433472,2520,1680,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 45,248.74885162711143,0.8595,0.9217957284990496,2580,1720,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 44,253.00943955779076,0.8523,0.9177860997433471,2520,1680,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 45,248.74885162711143,0.8595,0.9217957284990497,2580,1720,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1683c1683\n","< 49,238.58206045627597,0.8606,0.9224266034599374,2820,1880,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 49,238.58206045627594,0.8606,0.9224266034599374,2820,1880,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1690c1690\n","< 5,495.089172244072,0.7325,0.8504357494820669,180,120,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 5,495.08917224407196,0.7325,0.8504357494820669,180,120,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1694,1695c1694,1695\n","< 9,424.2794373631477,0.7481,0.8599297136766978,420,280,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 10,411.935023009777,0.7551,0.8643037700167294,480,320,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 9,424.27943736314774,0.7481,0.8599297136766978,420,280,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 10,411.93502300977707,0.7551,0.8643037700167294,480,320,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1698,1699c1698,1699\n","< 13,383.1265767216682,0.761,0.868263723274566,660,440,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 14,371.6525968909264,0.7744,0.8757576094053039,720,480,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 13,383.12657672166824,0.761,0.868263723274566,660,440,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 14,371.65259689092636,0.7744,0.8757576094053039,720,480,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1716c1716\n","< 31,289.7772367894649,0.7956,0.8876320244272694,1740,1160,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 31,289.77723678946495,0.7956,0.8876320244272694,1740,1160,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1725,1729c1725,1729\n","< 40,256.2266204059124,0.8232,0.9028016478799036,2280,1520,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 41,254.9888532161713,0.8191,0.9007041922770762,2340,1560,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 42,251.04915064573288,0.8274,0.9050607761144468,2400,1600,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 43,247.7320351302624,0.8248,0.9037348267587012,2460,1640,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 44,245.1801182925701,0.8255,0.9042594382544308,2520,1680,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 40,256.2266204059124,0.8232,0.9028016478799037,2280,1520,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 41,254.98885321617126,0.8191,0.9007041922770762,2340,1560,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 42,251.04915064573288,0.8274,0.9050607761144469,2400,1600,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 43,247.73203513026237,0.8248,0.9037348267587013,2460,1640,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 44,245.1801182925701,0.8255,0.9042594382544309,2520,1680,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1731c1731\n","< 46,239.45842158794403,0.8309,0.9072385152444068,2640,1760,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 46,239.45842158794403,0.8309,0.9072385152444067,2640,1760,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1735c1735\n","< 50,232.0970865190029,0.829,0.906491019812479,2880,1920,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 50,232.09708651900291,0.829,0.906491019812479,2880,1920,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1741,1744c1741,1744\n","< 5,504.9960463047028,0.7043,0.8339577198839144,180,120,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 6,482.0193755626679,0.718,0.8416998507507584,240,160,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 7,464.4123702049256,0.7196,0.8425150243591315,300,200,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 8,449.9363241195679,0.7193,0.8430637858532707,360,240,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 5,504.99604630470276,0.7043,0.8339577198839144,180,120,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 6,482.01937556266785,0.718,0.8416998507507584,240,160,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 7,464.41237020492554,0.7196,0.8425150243591315,300,200,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 8,449.93632411956787,0.7193,0.8430637858532707,360,240,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1747c1747\n","< 11,412.0975939035416,0.7417,0.8554204118987162,540,360,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 11,412.09759390354156,0.7417,0.8554204118987162,540,360,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1750c1750\n","< 14,384.622674882412,0.7537,0.8628546712652891,720,480,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 14,384.62267488241196,0.7537,0.8628546712652891,720,480,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1753,1754c1753,1754\n","< 17,362.5471278429032,0.7711,0.8723165164650121,900,600,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 18,359.0573964118957,0.7663,0.8697747669520041,960,640,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 17,362.54712784290314,0.7711,0.8723165164650121,900,600,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 18,359.05739641189575,0.7663,0.8697747669520041,960,640,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1770c1770\n","< 34,280.0059100985527,0.8231,0.90138553870363,1920,1280,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 34,280.0059100985527,0.8231,0.9013855387036301,1920,1280,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1773c1773\n","< 37,268.0970847606659,0.8308,0.9059743327705104,2100,1400,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 37,268.0970847606659,0.8308,0.9059743327705103,2100,1400,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1775c1775\n","< 39,260.3130470514297,0.8393,0.9107022941792524,2220,1480,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 39,260.31304705142975,0.8393,0.9107022941792525,2220,1480,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1777c1777\n","< 41,254.78657141327855,0.8381,0.9101974748379592,2340,1560,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 41,254.78657141327858,0.8381,0.9101974748379593,2340,1560,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1783,1784c1783,1784\n","< 47,236.58231562376025,0.8497,0.9167597594663716,2700,1800,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 48,233.6841636002064,0.8552,0.9197987720311463,2760,1840,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 47,236.58231562376022,0.8497,0.9167597594663717,2700,1800,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 48,233.68416360020638,0.8552,0.9197987720311465,2760,1840,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1786c1786\n","< 50,229.5758202970028,0.8506,0.9174251622659584,2880,1920,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 50,229.5758202970028,0.8506,0.9174251622659583,2880,1920,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1795,1796c1795,1796\n","< 8,438.4927157759666,0.6976,0.8321324541117736,480,120,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 9,423.0127817988396,0.7124,0.8401752506544062,560,140,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 8,438.49271577596664,0.6976,0.8321324541117736,480,120,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 9,423.01278179883957,0.7124,0.8401752506544062,560,140,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1800c1800\n","< 13,374.8322633504868,0.7547,0.8644308383743061,880,220,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 13,374.83226335048676,0.7547,0.8644308383743061,880,220,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1808c1808\n","< 21,317.8871020674705,0.7733,0.8750490211757282,1520,380,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 21,317.88710206747055,0.7733,0.8750490211757282,1520,380,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1816c1816\n","< 29,273.2662756443024,0.8211,0.901548563043351,2160,540,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 29,273.26627564430237,0.8211,0.901548563043351,2160,540,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1818c1818\n","< 31,265.3208356797695,0.8219,0.9021343820435388,2320,580,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 31,265.3208356797695,0.8219,0.9021343820435389,2320,580,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1821,1823c1821,1823\n","< 34,250.4114909172058,0.8282,0.9057539190768524,2560,640,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 35,247.25038796663284,0.8315,0.9074375834855224,2640,660,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 36,239.71649238467216,0.8479,0.916240490914366,2720,680,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 34,250.4114909172058,0.8282,0.9057539190768523,2560,640,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 35,247.25038796663284,0.8315,0.9074375834855223,2640,660,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 36,239.71649238467216,0.8479,0.9162404909143659,2720,680,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1825c1825\n","< 38,234.0053893327713,0.849,0.916337341731044,2880,720,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 38,234.0053893327713,0.849,0.9163373417310441,2880,720,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1828,1829c1828,1829\n","< 41,222.26805421710012,0.8623,0.9240945233459052,3120,780,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 42,220.40284541249275,0.8615,0.9237522216037404,3200,800,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 41,222.26805421710014,0.8623,0.9240945233459052,3120,780,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 42,220.40284541249275,0.8615,0.9237522216037405,3200,800,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1831c1831\n","< 44,216.85056883096692,0.8582,0.9224565795997852,3360,840,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 44,216.85056883096695,0.8582,0.9224565795997851,3360,840,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1833c1833\n","< 46,209.49033254384997,0.8691,0.9277223145406482,3520,880,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 46,209.49033254384995,0.8691,0.9277223145406482,3520,880,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1836,1838c1836,1838\n","< 49,206.12102589011192,0.8559,0.921147634962592,3760,940,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 50,205.7683491706848,0.8526,0.9191463992455176,3840,960,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 0,724.9873557090759,0.092,0.4965169759635622,0,0,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 49,206.12102589011192,0.8559,0.9211476349625919,3760,940,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 50,205.76834917068481,0.8526,0.9191463992455177,3840,960,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 0,724.9873557090759,0.092,0.49651697596356226,0,0,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1845c1845\n","< 7,472.9700474739074,0.6978,0.8303690842547695,400,100,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 7,472.97004747390747,0.6978,0.8303690842547695,400,100,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1848c1848\n","< 10,431.8864439129829,0.7096,0.8376489565737831,640,160,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 10,431.88644391298294,0.7096,0.8376489565737831,640,160,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1852c1852\n","< 14,390.3111944198608,0.7322,0.8499803634048526,960,240,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 14,390.31119441986084,0.7322,0.8499803634048526,960,240,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1883c1883\n","< 45,252.2384236454964,0.8281,0.90405312721264,3440,860,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 45,252.23842364549637,0.8281,0.9040531272126401,3440,860,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1885c1885\n","< 47,245.93013113737103,0.8344,0.9074412598273632,3600,900,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 47,245.93013113737106,0.8344,0.9074412598273632,3600,900,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1887,1888c1887,1888\n","< 49,241.45902249217036,0.8323,0.9065917080602456,3760,940,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 50,237.31891867518425,0.8383,0.9096733670982332,3840,960,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 49,241.45902249217033,0.8323,0.9065917080602455,3760,940,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 50,237.31891867518425,0.8383,0.9096733670982331,3840,960,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1896,1897c1896,1897\n","< 7,492.0201867818832,0.6893,0.8267591773963208,400,100,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 8,478.5885779857636,0.6744,0.8194636606484776,480,120,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 7,492.02018678188324,0.6893,0.8267591773963208,400,100,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 8,478.58857798576355,0.6744,0.8194636606484776,480,120,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1900c1900\n","< 11,435.1713891625405,0.7143,0.8417937273877655,720,180,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 11,435.17138916254044,0.7143,0.8417937273877655,720,180,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1905,1906c1905,1906\n","< 16,395.1699590682984,0.7094,0.8403575133158968,1120,280,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 17,385.7604690790176,0.7356,0.8550086391149646,1200,300,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 16,395.16995906829834,0.7094,0.8403575133158968,1120,280,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 17,385.76046907901764,0.7356,0.8550086391149646,1200,300,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1925c1925\n","< 36,303.949213385582,0.7545,0.8657392550365287,2720,680,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 36,303.94921338558197,0.7545,0.8657392550365287,2720,680,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1928c1928\n","< 39,288.4645176827908,0.7829,0.8812479657563159,2960,740,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 39,288.46451768279076,0.7829,0.8812479657563159,2960,740,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1945c1945\n","< 5,508.393196105957,0.5824,0.7673740899866258,240,60,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 5,508.39319610595703,0.5824,0.7673740899866258,240,60,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1950c1950\n","< 10,428.1448892951012,0.617,0.7873547367639702,640,160,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 10,428.14488929510117,0.617,0.7873547367639702,640,160,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1953c1953\n","< 13,394.1644993424416,0.659,0.810298564426524,880,220,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 13,394.16449934244156,0.659,0.810298564426524,880,220,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1955c1955\n","< 15,379.151989877224,0.6634,0.8124117599130611,1040,260,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 15,379.15198987722397,0.6634,0.8124117599130611,1040,260,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1971c1971\n","< 31,296.1746839880944,0.7389,0.8535768201081047,2320,580,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 31,296.17468398809433,0.7389,0.8535768201081047,2320,580,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1974c1974\n","< 34,283.6375879645348,0.7532,0.8617281124548459,2560,640,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 34,283.63758796453476,0.7532,0.8617281124548459,2560,640,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1983,1984c1983,1984\n","< 43,252.97935751080516,0.7848,0.8796809047537554,3280,820,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 44,250.2705602049828,0.7837,0.8791642739133136,3360,840,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 43,252.97935751080513,0.7848,0.8796809047537554,3280,820,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 44,250.27056020498276,0.7837,0.8791642739133136,3360,840,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1986c1986\n","< 46,239.2662063539028,0.8049,0.8910810616034265,3520,880,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 46,239.26620635390282,0.8049,0.8910810616034265,3520,880,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","1988,1989c1988,1989\n","< 48,238.3126322627068,0.798,0.8873887193733931,3680,920,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","< 49,239.23114690184596,0.7894,0.8825655400015753,3760,940,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","---\n","> 48,238.31263226270676,0.798,0.8873887193733931,3680,920,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","> 49,239.23114690184593,0.7894,0.8825655400015753,3760,940,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_median\n","2000c2000\n","< 9,421.5518224239349,0.6472,0.8021847999420562,0,700,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 9,421.55182242393494,0.6472,0.8021847999420562,0,700,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2002c2002\n","< 11,398.0711528062821,0.6615,0.8100599557844339,0,900,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 11,398.07115280628204,0.6615,0.8100599557844339,0,900,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2006c2006\n","< 15,364.5514417290688,0.6742,0.8168788425356841,0,1300,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 15,364.55144172906876,0.6742,0.8168788425356841,0,1300,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2014c2014\n","< 23,316.3889939785004,0.7247,0.8455164039977049,0,2100,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 23,316.38899397850037,0.7247,0.8455164039977049,0,2100,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2029c2029\n","< 38,272.709935605526,0.7293,0.8495753155839193,0,3600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 38,272.70993560552597,0.7293,0.8495753155839193,0,3600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2032c2032\n","< 41,264.3124725222588,0.7395,0.8555477716492744,0,3900,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 41,264.31247252225876,0.7395,0.8555477716492744,0,3900,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2036c2036\n","< 45,257.1615718007088,0.7395,0.8559345563466071,0,4300,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 45,257.16157180070877,0.7395,0.8559345563466071,0,4300,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2038,2040c2038,2040\n","< 47,252.1617304086685,0.7445,0.858708209504683,0,4500,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 48,252.242333739996,0.741,0.856826508066834,0,4600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 49,253.3587736189365,0.7338,0.8529184561642108,0,4700,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 47,252.16173040866852,0.7445,0.858708209504683,0,4500,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 48,252.24233373999596,0.741,0.856826508066834,0,4600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 49,253.35877361893654,0.7338,0.8529184561642108,0,4700,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2055,2057c2055,2057\n","< 13,397.0568637847901,0.6254,0.7929387813267631,220,880,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 14,386.7903811335564,0.6406,0.8012379179833949,240,960,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 15,377.6692390441895,0.645,0.8037612564734046,260,1040,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 13,397.05686378479004,0.6254,0.7929387813267631,220,880,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 14,386.79038113355637,0.6406,0.8012379179833949,240,960,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 15,377.66923904418945,0.645,0.8037612564734046,260,1040,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2059c2059\n","< 17,363.4873831868172,0.644,0.8035718906113793,300,1200,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 17,363.48738318681717,0.644,0.8035718906113793,300,1200,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2064c2064\n","< 22,325.1674090623856,0.7099,0.8395713940876142,400,1600,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 22,325.16740906238556,0.7099,0.8395713940876142,400,1600,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2073c2073\n","< 31,286.3410960435868,0.7527,0.8631290454178838,580,2320,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 31,286.34109604358673,0.7527,0.8631290454178838,580,2320,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2081c2081\n","< 39,253.67825347185132,0.79,0.8836556649023037,740,2960,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 39,253.67825347185135,0.79,0.8836556649023037,740,2960,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2087c2087\n","< 45,234.6090282797813,0.8014,0.8902647030350137,860,3440,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 45,234.60902827978134,0.8014,0.8902647030350137,860,3440,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2089c2089\n","< 47,230.75550997257236,0.8034,0.8913174483160831,900,3600,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 47,230.75550997257233,0.8034,0.8913174483160831,900,3600,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2091,2093c2091,2093\n","< 49,225.3215583264828,0.8106,0.8951712693110669,940,3760,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 50,221.7858886122704,0.8154,0.8978636128432409,960,3840,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 0,725.7237486839294,0.0719,0.4852541895638699,0,0,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 49,225.32155832648277,0.8106,0.8951712693110669,940,3760,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 50,221.78588861227036,0.8154,0.8978636128432409,960,3840,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 0,725.7237486839294,0.0719,0.48525418956386995,0,0,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2110,2115c2110,2115\n","< 17,379.1023018360138,0.8422,0.9119677184074912,300,1200,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 18,369.81475871801376,0.8466,0.91446568583848,320,1280,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 19,361.0606458187103,0.8481,0.9155556076098011,340,1360,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 20,353.7728676199913,0.8486,0.9158654033409837,360,1440,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 21,346.4688632488251,0.8484,0.9157789007864708,380,1520,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 22,338.8871642947197,0.8537,0.9187301638166588,400,1600,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 17,379.1023018360138,0.8422,0.9119677184074911,300,1200,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 18,369.81475871801376,0.8466,0.9144656858384801,320,1280,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 19,361.0606458187103,0.8481,0.9155556076098013,340,1360,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 20,353.7728676199913,0.8486,0.9158654033409835,360,1440,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 21,346.4688632488251,0.8484,0.9157789007864707,380,1520,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 22,338.8871642947197,0.8537,0.9187301638166587,400,1600,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2117,2119c2117,2119\n","< 24,326.9718537926674,0.8479,0.915703414904708,440,1760,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 25,321.5154142975807,0.8483,0.9157303099421868,460,1840,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 26,314.7632549405098,0.8533,0.918536184381402,480,1920,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 24,326.9718537926674,0.8479,0.9157034149047079,440,1760,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 25,321.5154142975807,0.8483,0.9157303099421867,460,1840,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 26,314.7632549405098,0.8533,0.9185361843814019,480,1920,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2121,2124c2121,2124\n","< 28,302.750106215477,0.8612,0.9226647172915192,520,2080,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 29,297.6691553592682,0.8555,0.9195691456865528,540,2160,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 30,294.27197086811066,0.8535,0.91841639910331,560,2240,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 31,289.9298240840435,0.8527,0.917942005631438,580,2320,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 28,302.750106215477,0.8612,0.9226647172915193,520,2080,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 29,297.6691553592682,0.8555,0.9195691456865529,540,2160,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 30,294.27197086811066,0.8535,0.9184163991033101,560,2240,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 31,289.9298240840435,0.8527,0.9179420056314381,580,2320,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2127c2127\n","< 34,275.84649389982224,0.8586,0.9210520543811572,640,2560,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 34,275.84649389982224,0.8586,0.9210520543811571,640,2560,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2132,2133c2132,2133\n","< 39,262.4745635688305,0.8551,0.9194608818966844,740,2960,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 40,260.67709693312645,0.8525,0.9180759364600692,760,3040,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 39,262.4745635688305,0.8551,0.9194608818966845,740,2960,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 40,260.67709693312645,0.8525,0.9180759364600691,760,3040,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2135c2135\n","< 42,253.07959678769112,0.8573,0.9206012669448888,800,3200,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 42,253.07959678769112,0.8573,0.9206012669448889,800,3200,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2138,2144c2138,2144\n","< 45,246.6618505418301,0.8483,0.915698589826546,860,3440,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 46,246.8277313411236,0.8411,0.9118282896892936,880,3520,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 47,245.0420173704624,0.8404,0.9113986770056652,900,3600,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 48,244.60509020090103,0.8367,0.9094934206964884,920,3680,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 49,240.1665237247944,0.8399,0.9111660005855756,940,3760,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 50,237.11458304524425,0.8405,0.9114619045218184,960,3840,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 0,723.3018891811371,0.0759,0.4880015632024168,0,0,0,0,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 45,246.66185054183006,0.8483,0.9156985898265461,860,3440,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 46,246.82773134112358,0.8411,0.9118282896892935,880,3520,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 47,245.04201737046242,0.8404,0.9113986770056653,900,3600,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 48,244.60509020090103,0.8367,0.9094934206964883,920,3680,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 49,240.1665237247944,0.8399,0.9111660005855755,940,3760,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 50,237.11458304524422,0.8405,0.9114619045218184,960,3840,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 0,723.3018891811371,0.0759,0.48800156320241683,0,0,0,0,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2152,2153c2152,2153\n","< 8,449.8672939538956,0.7394,0.8546072871331256,16,376,104,104,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 9,434.2588102817536,0.7484,0.8597296791332798,17,437,123,123,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 8,449.86729395389557,0.7394,0.8546072871331256,16,376,104,104,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 9,434.25881028175354,0.7484,0.8597296791332798,17,437,123,123,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2158c2158\n","< 14,376.6770158410072,0.7836,0.880229986651649,33,753,207,207,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 14,376.67701584100723,0.7836,0.880229986651649,33,753,207,207,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2182c2182\n","< 38,259.4630439281464,0.8135,0.8967487094456029,161,2321,559,559,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 38,259.46304392814636,0.8135,0.8967487094456029,161,2321,559,559,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2185,2186c2185,2186\n","< 41,245.42589008808136,0.8364,0.9092514818572448,174,2514,606,606,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 42,243.2836900651455,0.8323,0.9069465522227612,187,2587,613,613,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 41,245.42589008808136,0.8364,0.9092514818572447,174,2514,606,606,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 42,243.2836900651455,0.8323,0.9069465522227613,187,2587,613,613,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2189,2190c2189,2190\n","< 45,238.94716402888295,0.8277,0.9042378404386922,199,2779,661,661,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 46,235.1394891142845,0.8305,0.9057201704331296,206,2846,674,674,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 45,238.94716402888298,0.8277,0.9042378404386922,199,2779,661,661,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 46,235.13948911428452,0.8305,0.9057201704331295,206,2846,674,674,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2192,2193c2192,2193\n","< 48,226.6667333841324,0.8422,0.9122326814796846,214,2974,706,706,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 49,225.13779690861705,0.8383,0.9099545854227288,225,3045,715,715,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 48,226.66673338413239,0.8422,0.9122326814796846,214,2974,706,706,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 49,225.13779690861702,0.8383,0.9099545854227289,225,3045,715,715,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2202c2202\n","< 7,454.3972538709641,0.7348,0.8500788252941744,100,400,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 7,454.39725387096405,0.7348,0.8500788252941744,100,400,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2207,2208c2207,2208\n","< 12,386.4981502294541,0.7552,0.8617163563905162,200,800,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 13,376.4109058976173,0.7679,0.8691479751359446,220,880,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 12,386.49815022945404,0.7552,0.8617163563905162,200,800,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 13,376.41090589761734,0.7679,0.8691479751359446,220,880,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2210c2210\n","< 15,362.064438521862,0.7571,0.8633105988879498,260,1040,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 15,362.06443852186203,0.7571,0.8633105988879498,260,1040,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2230c2230\n","< 35,253.84199380874637,0.8094,0.8935251900687092,660,2640,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 35,253.84199380874634,0.8094,0.8935251900687092,660,2640,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2233c2233\n","< 38,246.75524297356608,0.8042,0.8912384140057764,720,2880,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 38,246.75524297356606,0.8042,0.8912384140057764,720,2880,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2238,2239c2238,2239\n","< 43,235.3775946497917,0.8079,0.8939435977981585,820,3280,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 44,233.9430386126041,0.806,0.892973438984564,840,3360,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 43,235.37759464979172,0.8079,0.8939435977981585,820,3280,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 44,233.94303861260414,0.806,0.892973438984564,840,3360,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2241,2245c2241,2245\n","< 46,229.5811780393124,0.804,0.8918369600735835,880,3520,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 47,227.8293636143208,0.8052,0.892500348827158,900,3600,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 48,224.2173063457012,0.8109,0.8957623155787898,920,3680,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 49,224.2610514760017,0.8071,0.8937978057039422,940,3760,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 50,222.1197462081909,0.8085,0.8943852752052488,960,3840,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 46,229.58117803931236,0.804,0.8918369600735835,880,3520,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 47,227.82936361432076,0.8052,0.892500348827158,900,3600,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 48,224.21730634570122,0.8109,0.8957623155787898,920,3680,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 49,224.26105147600174,0.8071,0.8937978057039422,940,3760,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 50,222.11974620819092,0.8085,0.8943852752052488,960,3840,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2252c2252\n","< 6,486.064092040062,0.6675,0.8144392770079186,240,160,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 6,486.06409204006195,0.6675,0.8144392770079186,240,160,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2256c2256\n","< 10,419.9743719696999,0.7264,0.8481003802848373,480,320,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 10,419.97437196969986,0.7264,0.8481003802848373,480,320,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2269,2270c2269,2270\n","< 23,300.4705502390861,0.8211,0.9021729670373608,1260,840,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 24,291.9334909915924,0.8332,0.908217428393752,1320,880,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 23,300.47055023908615,0.8211,0.9021729670373608,1260,840,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 24,291.9334909915924,0.8332,0.9082174283937521,1320,880,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2272c2272\n","< 26,281.582490503788,0.8377,0.910784458896704,1440,960,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 26,281.582490503788,0.8377,0.9107844588967039,1440,960,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2277,2278c2277,2278\n","< 31,255.20233181118965,0.8483,0.9164732078996228,1740,1160,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 32,251.1260502338409,0.8459,0.9152426533568871,1800,1200,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 31,255.20233181118965,0.8483,0.9164732078996229,1740,1160,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 32,251.12605023384094,0.8459,0.9152426533568873,1800,1200,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2281,2284c2281,2284\n","< 35,237.9519263803959,0.8513,0.9178761277809993,1980,1320,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 36,232.042176514864,0.8592,0.9222492527902024,2040,1360,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 37,230.07741445302963,0.8535,0.9193888206605716,2100,1400,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 38,224.38388049602509,0.8611,0.9232797397098736,2160,1440,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 35,237.9519263803959,0.8513,0.9178761277809991,1980,1320,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 36,232.04217651486397,0.8592,0.9222492527902025,2040,1360,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 37,230.07741445302963,0.8535,0.9193888206605717,2100,1400,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 38,224.38388049602509,0.8611,0.9232797397098735,2160,1440,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2286,2287c2286,2287\n","< 40,215.470700353384,0.8664,0.9260244955657828,2280,1520,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 41,213.78651028871536,0.8652,0.9254706928933116,2340,1560,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 40,215.47070035338402,0.8664,0.9260244955657827,2280,1520,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 41,213.78651028871536,0.8652,0.9254706928933117,2340,1560,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2290c2290\n","< 44,203.2443141937256,0.8728,0.9297845011100676,2520,1680,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 44,203.2443141937256,0.8728,0.9297845011100675,2520,1680,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2292,2294c2292,2294\n","< 46,201.22951340675357,0.8656,0.9259164173583546,2640,1760,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 47,197.5180557668209,0.8646,0.9253495071570248,2700,1800,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 48,191.1724861562252,0.8762,0.9314587504782,2760,1840,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 46,201.22951340675354,0.8656,0.9259164173583546,2640,1760,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 47,197.5180557668209,0.8646,0.9253495071570249,2700,1800,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 48,191.1724861562252,0.8762,0.9314587504781999,2760,1840,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2308c2308\n","< 11,393.7149311304093,0.81,0.893847292167686,540,360,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 11,393.71493113040924,0.81,0.893847292167686,540,360,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2312c2312\n","< 15,348.23098969459534,0.8341,0.9082329376726764,780,520,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 15,348.23098969459534,0.8341,0.9082329376726765,780,520,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2314,2316c2314,2316\n","< 17,333.51424193382263,0.8294,0.9058654866666423,900,600,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 18,326.4821729660034,0.8291,0.9055401373921996,960,640,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 19,318.2433761358261,0.8326,0.9075608209871068,1020,680,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 17,333.51424193382263,0.8294,0.9058654866666425,900,600,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 18,326.4821729660034,0.8291,0.9055401373921997,960,640,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 19,318.2433761358261,0.8326,0.9075608209871069,1020,680,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2319,2322c2319,2322\n","< 22,297.3303753733635,0.8337,0.9079425384991372,1200,800,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 23,291.89537209272385,0.8342,0.908351555199076,1260,840,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 24,287.3648977875709,0.8342,0.908656607240246,1320,880,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 25,278.42196276783943,0.8398,0.911626931166282,1380,920,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 22,297.3303753733635,0.8337,0.9079425384991371,1200,800,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 23,291.89537209272385,0.8342,0.9083515551990761,1260,840,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 24,287.36489778757095,0.8342,0.908656607240246,1320,880,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 25,278.42196276783943,0.8398,0.9116269311662819,1380,920,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2324c2324\n","< 27,265.28284108638763,0.8461,0.9149983973503112,1500,1000,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 27,265.28284108638763,0.8461,0.9149983973503113,1500,1000,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2329,2332c2329,2332\n","< 32,247.25564166903496,0.8416,0.9126084131059172,1800,1200,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 33,240.44449326395988,0.8472,0.9155657743468356,1860,1240,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 34,235.1797302365303,0.8531,0.9186788530335156,1920,1280,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 35,230.81036961078644,0.8534,0.9189138108151208,1980,1320,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 32,247.25564166903496,0.8416,0.9126084131059173,1800,1200,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 33,240.44449326395988,0.8472,0.9155657743468357,1860,1240,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 34,235.1797302365303,0.8531,0.9186788530335157,1920,1280,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 35,230.81036961078644,0.8534,0.9189138108151209,1980,1320,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2335,2338c2335,2338\n","< 38,217.69034805893895,0.8597,0.9224240268722962,2160,1440,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 39,213.2846719622612,0.8655,0.9255605192532348,2220,1480,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 40,209.7981553673744,0.8669,0.9262613726560356,2280,1520,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 41,205.85198307037356,0.8664,0.9260069228088108,2340,1560,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 38,217.69034805893898,0.8597,0.9224240268722962,2160,1440,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 39,213.2846719622612,0.8655,0.9255605192532347,2220,1480,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 40,209.79815536737442,0.8669,0.9262613726560357,2280,1520,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 41,205.85198307037354,0.8664,0.9260069228088108,2340,1560,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2344,2347c2344,2347\n","< 47,188.56957729160783,0.874,0.9303127506635214,2700,1800,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 48,186.67893221974373,0.8737,0.9302365271536188,2760,1840,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 49,187.86997531354427,0.8691,0.927668510560994,2820,1880,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 50,183.64511735737324,0.8742,0.9304294893099228,2880,1920,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 47,188.56957729160786,0.874,0.9303127506635214,2700,1800,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 48,186.67893221974373,0.8737,0.9302365271536189,2760,1840,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 49,187.86997531354427,0.8691,0.9276685105609941,2820,1880,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 50,183.64511735737324,0.8742,0.9304294893099229,2880,1920,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2356c2356\n","< 8,451.5955120325089,0.7002,0.8320817561421674,360,240,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 8,451.59551203250885,0.7002,0.8320817561421674,360,240,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2360c2360\n","< 12,396.6722737550736,0.745,0.8577314412478353,600,400,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 12,396.67227375507355,0.745,0.8577314412478353,600,400,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2364c2364\n","< 16,363.8994809389114,0.7458,0.8592963902926462,840,560,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 16,363.89948093891144,0.7458,0.8592963902926462,840,560,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2367c2367\n","< 19,339.6846717000008,0.7705,0.8731947344028844,1020,680,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 19,339.68467170000076,0.7705,0.8731947344028844,1020,680,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2385,2387c2385,2387\n","< 37,245.93800643086436,0.832,0.9065795443741484,2100,1400,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 38,240.3253899514675,0.843,0.912776348537432,2160,1440,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 39,238.1626465022564,0.8381,0.909866679097346,2220,1480,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 37,245.93800643086433,0.832,0.9065795443741484,2100,1400,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 38,240.3253899514675,0.843,0.9127763485374321,2160,1440,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 39,238.1626465022564,0.8381,0.9098666790973459,2220,1480,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2389c2389\n","< 41,232.16590982675552,0.8387,0.9104460701365228,2340,1560,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 41,232.16590982675552,0.8387,0.9104460701365229,2340,1560,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2391c2391\n","< 43,220.69568186998367,0.853,0.9181433337411128,2460,1640,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 43,220.69568186998367,0.853,0.9181433337411127,2460,1640,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2393,2396c2393,2396\n","< 45,215.11871257424357,0.8578,0.9208515678095754,2580,1720,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 46,214.54125481843948,0.8541,0.9189735810588844,2640,1760,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 47,214.1508355140686,0.8483,0.915926321465924,2700,1800,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 48,211.41058257222176,0.8508,0.917329861455738,2760,1840,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 45,215.11871257424355,0.8578,0.9208515678095754,2580,1720,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 46,214.54125481843948,0.8541,0.9189735810588843,2640,1760,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 47,214.1508355140686,0.8483,0.9159263214659239,2700,1800,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 48,211.41058257222176,0.8508,0.9173298614557381,2760,1840,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2398c2398\n","< 50,207.1079548001289,0.847,0.9153163421374928,2880,1920,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 50,207.10795480012894,0.847,0.9153163421374927,2880,1920,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2405c2405\n","< 6,494.7712043523789,0.6624,0.8127283522211435,240,160,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 6,494.77120435237885,0.6624,0.8127283522211435,240,160,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2409,2410c2409,2410\n","< 10,428.5028782486916,0.7026,0.836042124692832,480,320,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 11,415.8142688274384,0.7046,0.8370429125834346,540,360,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 10,428.50287824869156,0.7026,0.836042124692832,480,320,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 11,415.81426882743835,0.7046,0.8370429125834346,540,360,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2414c2414\n","< 15,380.3661194443703,0.7076,0.8397864914233505,780,520,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 15,380.36611944437027,0.7076,0.8397864914233505,780,520,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2416c2416\n","< 17,367.3403045535088,0.7096,0.8413912093742739,900,600,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 17,367.34030455350876,0.7096,0.8413912093742739,900,600,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2442c2442\n","< 43,270.4010561704636,0.7643,0.8707523025690163,2460,1640,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 43,270.40105617046356,0.7643,0.8707523025690163,2460,1640,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2445c2445\n","< 46,263.3893464803696,0.7721,0.8753365727521484,2640,1760,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 46,263.38934648036957,0.7721,0.8753365727521484,2640,1760,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2450c2450\n","< 0,720.5075643062592,0.0907,0.4955609720034449,0,0,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 0,720.5075643062592,0.0907,0.49556097200344496,0,0,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2458,2459c2458,2459\n","< 8,450.7256902456284,0.7019,0.8321113144008319,480,120,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 9,435.6903430819512,0.7075,0.8352187923093057,560,140,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 8,450.72569024562836,0.7019,0.8321113144008319,480,120,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 9,435.69034308195114,0.7075,0.8352187923093057,560,140,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2462c2462\n","< 12,395.0957366228104,0.7312,0.8487450245520943,800,200,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 12,395.09573662281036,0.7312,0.8487450245520943,800,200,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2472c2472\n","< 22,311.0523983240128,0.7875,0.881337787369944,1600,400,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 22,311.05239832401276,0.7875,0.881337787369944,1600,400,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2483,2484c2483,2484\n","< 33,252.97049641609192,0.8317,0.9050177903652116,2480,620,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 34,247.56950426101685,0.8357,0.9075240336255208,2560,640,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 33,252.97049641609192,0.8317,0.9050177903652115,2480,620,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 34,247.56950426101685,0.8357,0.9075240336255209,2560,640,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2486,2488c2486,2488\n","< 36,234.1063860654831,0.8564,0.9192105553205768,2720,680,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 37,234.7956215441227,0.8439,0.9121152024385524,2800,700,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 38,235.05471748113632,0.8367,0.9082802487768707,2880,720,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 36,234.1063860654831,0.8564,0.9192105553205769,2720,680,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 37,234.7956215441227,0.8439,0.9121152024385525,2800,700,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 38,235.05471748113632,0.8367,0.9082802487768709,2880,720,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2490,2492c2490,2492\n","< 40,218.5730001330376,0.8661,0.92479667663089,3040,760,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 41,217.3229517042637,0.863,0.92289471332592,3120,780,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 42,213.872572273016,0.8653,0.9241322665002908,3200,800,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 40,218.57300013303757,0.8661,0.9247966766308899,3040,760,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 41,217.3229517042637,0.863,0.9228947133259199,3120,780,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 42,213.87257227301598,0.8653,0.9241322665002907,3200,800,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2495c2495\n","< 45,206.9417543411255,0.8648,0.923869868060386,3440,860,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 45,206.9417543411255,0.8648,0.9238698680603861,3440,860,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2499c2499\n","< 49,200.447381913662,0.8634,0.9233878856385236,3760,940,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 49,200.44738191366196,0.8634,0.9233878856385237,3760,940,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2501c2501\n","< 0,725.7437784671783,0.091,0.4958879502629005,0,0,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 0,725.7437784671783,0.091,0.49588795026290056,0,0,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2512c2512\n","< 11,417.5299021005631,0.719,0.8443334698231046,720,180,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 11,417.52990210056305,0.719,0.8443334698231046,720,180,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2517c2517\n","< 16,368.4934049248696,0.7372,0.8560222000817184,1120,280,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 16,368.49340492486954,0.7372,0.8560222000817184,1120,280,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2522c2522\n","< 21,336.1670240759849,0.7616,0.869120246492009,1520,380,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 21,336.16702407598495,0.7616,0.869120246492009,1520,380,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2530c2530\n","< 29,290.4759519696236,0.805,0.8940531594344826,2160,540,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 29,290.47595196962357,0.805,0.8940531594344826,2160,540,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2544,2545c2544,2545\n","< 43,246.92350375652316,0.8191,0.9017922408231444,3280,820,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 44,247.10305216908452,0.8051,0.8946338801233825,3360,840,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 43,246.92350375652313,0.8191,0.9017922408231444,3280,820,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 44,247.10305216908455,0.8051,0.8946338801233825,3360,840,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2550,2551c2550,2551\n","< 49,239.48066467046735,0.8065,0.8956834001675199,3760,940,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 50,230.64030051231384,0.8277,0.9067837635762152,3840,960,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 49,239.48066467046738,0.8065,0.8956834001675199,3760,940,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 50,230.64030051231384,0.8277,0.9067837635762153,3840,960,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2559c2559\n","< 7,478.6542199850082,0.7696,0.8710218889489928,400,100,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 7,478.65421998500824,0.7696,0.8710218889489928,400,100,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2565c2565\n","< 13,394.0081642866135,0.8072,0.8926898098265479,880,220,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 13,394.00816428661346,0.8072,0.8926898098265479,880,220,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2569c2569\n","< 17,357.3845036029816,0.8118,0.8957346110964336,1200,300,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 17,357.38450360298157,0.8118,0.8957346110964336,1200,300,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2572c2572\n","< 20,335.4272755980492,0.8225,0.9017672266930664,1440,360,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 20,335.42727559804916,0.8225,0.9017672266930665,1440,360,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2574c2574\n","< 22,324.7310373783112,0.8147,0.8972955645317084,1600,400,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 22,324.73103737831116,0.8147,0.8972955645317084,1600,400,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2576,2577c2576,2577\n","< 24,310.9480834007263,0.8219,0.9016846860673108,1760,440,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 25,304.4730241894722,0.8269,0.9040905403517656,1840,460,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 24,310.9480834007263,0.8219,0.9016846860673109,1760,440,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 25,304.4730241894722,0.8269,0.9040905403517655,1840,460,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2579c2579\n","< 27,294.7354838848114,0.8279,0.9046234947943624,2000,500,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 27,294.7354838848114,0.8279,0.9046234947943625,2000,500,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2582c2582\n","< 30,277.39606589078903,0.8404,0.911901624837128,2240,560,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 30,277.39606589078903,0.8404,0.9119016248371281,2240,560,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2584,2585c2584,2585\n","< 32,273.61697351932526,0.829,0.9058057517298196,2400,600,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 33,265.6907884478569,0.8362,0.909837952705156,2480,620,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 32,273.61697351932526,0.829,0.9058057517298197,2400,600,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 33,265.6907884478569,0.8362,0.9098379527051559,2480,620,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2587,2589c2587,2589\n","< 35,252.96980300545687,0.8527,0.9187332422290598,2640,660,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 36,254.2839048802853,0.842,0.9130140876226294,2720,680,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 37,249.68365022540087,0.8441,0.9142317926539242,2800,700,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 35,252.96980300545692,0.8527,0.9187332422290598,2640,660,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 36,254.28390488028526,0.842,0.9130140876226294,2720,680,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 37,249.68365022540092,0.8441,0.9142317926539242,2800,700,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2591,2594c2591,2594\n","< 39,244.96334719657895,0.8426,0.913350481921797,2960,740,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 40,236.20896953344345,0.8594,0.9223552169323148,3040,760,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 41,233.3811264336109,0.8536,0.9192431821970912,3120,780,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 42,229.1699724197388,0.8587,0.9219036784423764,3200,800,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 39,244.96334719657898,0.8426,0.913350481921797,2960,740,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 40,236.20896953344345,0.8594,0.9223552169323149,3040,760,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 41,233.38112643361092,0.8536,0.9192431821970913,3120,780,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 42,229.16997241973877,0.8587,0.9219036784423764,3200,800,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2598,2600c2598,2600\n","< 46,216.73783627152443,0.8636,0.9246680129106496,3520,880,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 47,213.2961821258068,0.8661,0.926055790230704,3600,900,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 48,211.4906295239925,0.8682,0.927279250042248,3680,920,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 46,216.73783627152443,0.8636,0.9246680129106497,3520,880,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 47,213.2961821258068,0.8661,0.9260557902307041,3600,900,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 48,211.49062952399254,0.8682,0.927279250042248,3680,920,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2602c2602\n","< 50,208.3471714556217,0.8594,0.9226376532150204,3840,960,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 50,208.34717145562172,0.8594,0.9226376532150204,3840,960,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2617c2617\n","< 14,383.2437146902085,0.7674,0.8708258285615671,960,240,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 14,383.24371469020844,0.7674,0.8708258285615671,960,240,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2635,2636c2635,2636\n","< 32,295.0251738429069,0.7919,0.8866919175392824,2400,600,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 33,287.1819616556168,0.8067,0.894683096978938,2480,620,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 32,295.02517384290695,0.7919,0.8866919175392824,2400,600,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 33,287.18196165561676,0.8067,0.894683096978938,2480,620,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2638c2638\n","< 35,274.548240929842,0.8314,0.9079117087234624,2640,660,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 35,274.548240929842,0.8314,0.9079117087234625,2640,660,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2640,2642c2640,2642\n","< 37,267.91893833875656,0.8311,0.9076694575722336,2800,700,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 38,267.8668565154076,0.8204,0.9019805880135336,2880,720,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 39,263.48647448420525,0.8265,0.9051444803933452,2960,740,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 37,267.91893833875656,0.8311,0.9076694575722335,2800,700,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 38,267.86685651540756,0.8204,0.9019805880135335,2880,720,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 39,263.48647448420525,0.8265,0.9051444803933453,2960,740,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2646,2653c2646,2653\n","< 43,247.44625395536423,0.8473,0.9163150240170496,3280,820,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 44,247.10996970534325,0.836,0.9104012211751124,3360,840,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 45,244.0677667558193,0.8388,0.9120121076352264,3440,860,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 46,239.7701171934605,0.8462,0.9160866372280216,3520,880,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 47,235.949033677578,0.8505,0.918399392289819,3600,900,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 48,236.9174130558968,0.8436,0.9147503937810992,3680,920,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 49,237.07274729013443,0.834,0.9094640241125904,3760,940,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","< 50,233.28341421484947,0.8401,0.9125591081133272,3840,960,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","---\n","> 43,247.44625395536423,0.8473,0.9163150240170495,3280,820,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 44,247.10996970534325,0.836,0.9104012211751125,3360,840,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 45,244.06776675581932,0.8388,0.9120121076352264,3440,860,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 46,239.77011719346046,0.8462,0.9160866372280217,3520,880,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 47,235.94903367757797,0.8505,0.918399392289819,3600,900,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 48,236.91741305589676,0.8436,0.9147503937810992,3680,920,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 49,237.07274729013443,0.834,0.9094640241125903,3760,940,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","> 50,233.28341421484947,0.8401,0.9125591081133273,3840,960,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_krum\n","2664c2664\n","< 10,409.7762674093247,0.7286,0.8497853472319523,0,800,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 10,409.77626740932465,0.7286,0.8497853472319523,0,800,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2669c2669\n","< 15,359.6433264613152,0.7633,0.869622027269013,0,1300,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 15,359.64332646131516,0.7633,0.869622027269013,0,1300,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2686c2686\n","< 32,264.4064108431339,0.8328,0.908143498332,0,3000,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 32,264.4064108431339,0.8328,0.9081434983320001,0,3000,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2689,2690c2689,2690\n","< 35,252.42216992378235,0.8403,0.9122080696548692,0,3300,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 36,248.69933387637136,0.8432,0.9138409689264192,0,3400,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 35,252.42216992378235,0.8403,0.9122080696548691,0,3300,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 36,248.69933387637138,0.8432,0.9138409689264193,0,3400,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2692,2695c2692,2695\n","< 38,241.29089725017548,0.8496,0.9172465196004856,0,3600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 39,237.69651544094089,0.8522,0.9186665320115632,0,3700,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 40,234.16927403211596,0.8547,0.9200335359517244,0,3800,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 41,230.7750531733036,0.8565,0.9210104129210124,0,3900,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 38,241.29089725017548,0.8496,0.9172465196004855,0,3600,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 39,237.69651544094086,0.8522,0.9186665320115631,0,3700,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 40,234.16927403211594,0.8547,0.9200335359517245,0,3800,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 41,230.7750531733036,0.8565,0.9210104129210125,0,3900,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2697,2701c2697,2701\n","< 43,224.4381481409073,0.8606,0.923223995056308,0,4100,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 44,221.24650838971135,0.8633,0.9247126781466896,0,4200,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 45,218.252520352602,0.8652,0.9257731766455668,0,4300,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 46,215.30499318242076,0.8675,0.9270155980715408,0,4400,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 47,212.48218113183972,0.8701,0.9284387672076686,0,4500,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 43,224.4381481409073,0.8606,0.9232239950563079,0,4100,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 44,221.24650838971138,0.8633,0.9247126781466897,0,4200,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 45,218.252520352602,0.8652,0.9257731766455667,0,4300,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 46,215.30499318242073,0.8675,0.9270155980715407,0,4400,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 47,212.48218113183975,0.8701,0.9284387672076686,0,4500,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2703,2704c2703,2704\n","< 49,207.08003348112103,0.8732,0.9300824631898684,0,4700,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 50,204.3473484516144,0.8749,0.931037595757379,0,4800,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 49,207.08003348112106,0.8732,0.9300824631898683,0,4700,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 50,204.34734845161438,0.8749,0.931037595757379,0,4800,0,0,gaussian,mnist,0,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2719,2720c2719,2720\n","< 14,376.557203233242,0.8084,0.8932377877345206,240,960,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 15,367.1175818443298,0.8133,0.8960721698662493,260,1040,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 14,376.55720323324203,0.8084,0.8932377877345206,240,960,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 15,367.11758184432983,0.8133,0.8960721698662493,260,1040,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2724c2724\n","< 19,335.6358782052994,0.8297,0.9053484232289476,340,1360,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 19,335.6358782052994,0.8297,0.9053484232289477,340,1360,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2727,2728c2727,2728\n","< 22,315.8551693558693,0.8377,0.9099461093188972,400,1600,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 23,310.7202885746956,0.8386,0.910411138680696,420,1680,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 22,315.8551693558693,0.8377,0.9099461093188971,400,1600,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 23,310.7202885746956,0.8386,0.9104111386806959,420,1680,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2730c2730\n","< 25,298.9058918952942,0.846,0.9145079226322532,460,1840,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 25,298.9058918952942,0.846,0.9145079226322531,460,1840,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2737c2737\n","< 32,263.083487957716,0.8664,0.9258601550417104,600,2400,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 32,263.083487957716,0.8664,0.9258601550417105,600,2400,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2739,2748c2739,2748\n","< 34,254.54724285006523,0.8688,0.9271361102074048,640,2560,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 35,250.1228897869587,0.8721,0.9290297259116472,660,2640,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 36,245.4804942905903,0.8739,0.9300257531863404,680,2720,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 37,241.185830950737,0.8764,0.9314073547283052,700,2800,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 38,237.36316519975665,0.8772,0.9318773673684289,720,2880,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 39,232.99660819768903,0.879,0.9328231504126916,740,2960,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 40,228.91003787517548,0.8816,0.934185019693328,760,3040,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 41,225.25701847672465,0.8841,0.9355765858690936,780,3120,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 42,221.90948715806007,0.8851,0.9362030560378032,800,3200,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 43,218.353271573782,0.8872,0.9373468337946796,820,3280,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 34,254.54724285006523,0.8688,0.9271361102074049,640,2560,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 35,250.1228897869587,0.8721,0.9290297259116473,660,2640,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 36,245.4804942905903,0.8739,0.9300257531863405,680,2720,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 37,241.185830950737,0.8764,0.9314073547283053,700,2800,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 38,237.36316519975662,0.8772,0.9318773673684287,720,2880,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 39,232.99660819768906,0.879,0.9328231504126915,740,2960,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 40,228.91003787517548,0.8816,0.9341850196933281,760,3040,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 41,225.25701847672462,0.8841,0.9355765858690935,780,3120,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 42,221.90948715806007,0.8851,0.9362030560378031,800,3200,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 43,218.35327157378197,0.8872,0.9373468337946795,820,3280,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2750,2751c2750,2751\n","< 45,210.59587395191195,0.8919,0.9399584772505352,860,3440,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 46,207.33189406991005,0.8928,0.9404567726699692,880,3520,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 45,210.59587395191193,0.8919,0.9399584772505352,860,3440,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 46,207.33189406991005,0.8928,0.9404567726699691,880,3520,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2753c2753\n","< 48,200.5307119488716,0.8973,0.942948973295238,920,3680,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 48,200.5307119488716,0.8973,0.9429489732952379,920,3680,0,0,gaussian,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2756c2756\n","< 0,724.9344787597656,0.0792,0.4893486471263527,0,0,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 0,724.9344787597656,0.0792,0.48934864712635273,0,0,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2762c2762\n","< 6,489.1385743618012,0.6945,0.8293965749558451,80,320,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 6,489.13857436180115,0.6945,0.8293965749558451,80,320,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2769c2769\n","< 13,394.8367738127709,0.7162,0.8425121864308777,220,880,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 13,394.83677381277084,0.7162,0.8425121864308777,220,880,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2792c2792\n","< 36,273.3804396092892,0.8019,0.8911451626331092,680,2720,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 36,273.38043960928917,0.8019,0.8911451626331092,680,2720,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2797,2807c2797,2807\n","< 41,254.60035234689715,0.8188,0.9003601979818985,780,3120,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 42,250.92162227630612,0.8219,0.9020654476162002,800,3200,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 43,247.04719656705856,0.8264,0.9046250563232944,820,3280,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 44,244.8364400565624,0.8249,0.9038490070406496,840,3360,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 45,241.8965944945812,0.8268,0.9048655421815726,860,3440,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 46,238.58338406682012,0.8302,0.9067075324931207,880,3520,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 47,235.79101994633675,0.831,0.9071842150121776,900,3600,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 48,233.08498215675357,0.8333,0.9083850152748342,920,3680,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 49,229.79066088795665,0.8361,0.9099125835268028,940,3760,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 50,226.95129188895223,0.8376,0.910695164735483,960,3840,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 0,726.9751834869385,0.0779,0.4881409357040656,0,0,0,0,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 41,254.60035234689713,0.8188,0.9003601979818985,780,3120,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 42,250.92162227630615,0.8219,0.9020654476162002,800,3200,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 43,247.04719656705856,0.8264,0.9046250563232945,820,3280,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 44,244.83644005656242,0.8249,0.9038490070406496,840,3360,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 45,241.89659449458122,0.8268,0.9048655421815726,860,3440,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 46,238.58338406682014,0.8302,0.9067075324931209,880,3520,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 47,235.79101994633675,0.831,0.9071842150121775,900,3600,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 48,233.08498215675354,0.8333,0.9083850152748342,920,3680,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 49,229.79066088795662,0.8361,0.9099125835268029,940,3760,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 50,226.95129188895226,0.8376,0.910695164735483,960,3840,0,0,lie,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 0,726.9751834869385,0.0779,0.48814093570406564,0,0,0,0,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2833,2834c2833,2834\n","< 26,471.9460843801498,0.7105,0.8362730733130187,54,1494,426,426,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 27,453.4867601394653,0.7218,0.842801091718103,59,1559,441,441,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 26,471.94608438014984,0.7105,0.8362730733130187,54,1494,426,426,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 27,453.48676013946533,0.7218,0.842801091718103,59,1559,441,441,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2837c2837\n","< 30,410.2151008844376,0.739,0.8528557271181116,67,1747,493,493,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 30,410.21510088443756,0.739,0.8528557271181116,67,1747,493,493,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2839c2839\n","< 32,450.9123346805573,0.7162,0.8398878415437864,69,1869,531,531,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 32,450.91233468055725,0.7162,0.8398878415437864,69,1869,531,531,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2852,2854c2852,2854\n","< 45,433.0934015512466,0.7424,0.8547234236515333,99,2679,761,761,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 46,418.2539088726044,0.7515,0.8599455112492274,103,2743,777,777,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 47,403.664758503437,0.7665,0.8685097664694796,107,2807,793,793,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 45,433.09340155124664,0.7424,0.8547234236515333,99,2679,761,761,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 46,418.25390887260437,0.7515,0.8599455112492274,103,2743,777,777,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 47,403.66475850343704,0.7665,0.8685097664694796,107,2807,793,793,fang,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2863c2863\n","< 5,510.1774941682816,0.6689,0.8152249608386812,60,240,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 5,510.17749416828156,0.6689,0.8152249608386812,60,240,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2867c2867\n","< 9,435.3764920830727,0.7036,0.8350720848874346,140,560,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 9,435.37649208307266,0.7036,0.8350720848874346,140,560,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2871c2871\n","< 13,388.432458281517,0.7299,0.8498187045179979,220,880,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 13,388.43245828151703,0.7299,0.8498187045179979,220,880,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2873c2873\n","< 15,369.2454379200936,0.7439,0.8577144845489537,260,1040,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 15,369.24543792009354,0.7439,0.8577144845489537,260,1040,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2892c2892\n","< 34,267.2603097558021,0.8024,0.8898561104548245,640,2560,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 34,267.26030975580215,0.8024,0.8898561104548245,640,2560,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2902c2902\n","< 44,229.71139279007912,0.8365,0.909075920938452,840,3360,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 44,229.71139279007912,0.8365,0.9090759209384519,840,3360,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2905c2905\n","< 47,221.3983378112316,0.8423,0.9122749250949284,900,3600,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 47,221.3983378112316,0.8423,0.9122749250949285,900,3600,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2907c2907\n","< 49,216.03092747926712,0.8463,0.9143793120208176,940,3760,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 49,216.03092747926712,0.8463,0.9143793120208175,940,3760,0,0,minmax,mnist,20,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2914,2915c2914,2915\n","< 5,497.6715879440308,0.6991,0.8323434944975612,180,120,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 6,473.3074178695679,0.7245,0.8466746325312581,240,160,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 5,497.67158794403076,0.6991,0.8323434944975612,180,120,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 6,473.30741786956787,0.7245,0.8466746325312581,240,160,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2917c2917\n","< 8,432.4729611873626,0.7559,0.864522863359752,360,240,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 8,432.47296118736267,0.7559,0.864522863359752,360,240,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2930,2933c2930,2933\n","< 21,303.30791968107224,0.8398,0.9117468484732764,1140,760,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 22,297.8687347173691,0.8355,0.9094935557688963,1200,800,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 23,292.96471774578094,0.8322,0.9080049157282516,1260,840,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 24,285.43651443719864,0.8433,0.9136266271564468,1320,880,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 21,303.30791968107224,0.8398,0.9117468484732763,1140,760,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 22,297.8687347173691,0.8355,0.9094935557688965,1200,800,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 23,292.96471774578094,0.8322,0.9080049157282517,1260,840,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 24,285.43651443719864,0.8433,0.9136266271564469,1320,880,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2935c2935\n","< 26,276.49690622091293,0.8459,0.9152173715452344,1440,960,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 26,276.49690622091293,0.8459,0.9152173715452345,1440,960,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2937,2938c2937,2938\n","< 28,267.27339792251587,0.8494,0.917452916579874,1560,1040,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 29,261.3245145082474,0.8542,0.919802208971472,1620,1080,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 28,267.27339792251587,0.8494,0.9174529165798739,1560,1040,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 29,261.3245145082474,0.8542,0.9198022089714721,1620,1080,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2941,2944c2941,2944\n","< 32,248.49040567874908,0.8621,0.9241907398234868,1800,1200,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 33,244.4324587583542,0.8615,0.9238858211529464,1860,1240,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 34,238.4966230392456,0.8651,0.925710957325408,1920,1280,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 35,235.28249287605288,0.8662,0.926337643280046,1980,1320,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 32,248.49040567874908,0.8621,0.9241907398234869,1800,1200,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 33,244.4324587583542,0.8615,0.9238858211529463,1860,1240,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 34,238.4966230392456,0.8651,0.9257109573254081,1920,1280,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 35,235.28249287605286,0.8662,0.926337643280046,1980,1320,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2947,2951c2947,2951\n","< 38,224.31372582912445,0.8719,0.9291709541222812,2160,1440,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 39,221.25765785574916,0.8713,0.928926297747808,2220,1480,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 40,216.14501482248303,0.8761,0.9314341883552174,2280,1520,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 41,212.91301488876343,0.8796,0.9334507600002188,2340,1560,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 42,209.1469256579876,0.88,0.9336699773965964,2400,1600,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 38,224.31372582912445,0.8719,0.9291709541222813,2160,1440,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 39,221.25765785574913,0.8713,0.928926297747808,2220,1480,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 40,216.14501482248306,0.8761,0.9314341883552174,2280,1520,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 41,212.91301488876343,0.8796,0.9334507600002189,2340,1560,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 42,209.1469256579876,0.88,0.9336699773965963,2400,1600,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2953,2955c2953,2955\n","< 44,203.31741097569463,0.8822,0.9349238066262564,2520,1680,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 45,199.83170729875565,0.8852,0.9364495510881408,2580,1720,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 46,197.01921305060387,0.8857,0.9367992676079552,2640,1760,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 44,203.31741097569466,0.8822,0.9349238066262563,2520,1680,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 45,199.83170729875565,0.8852,0.9364495510881407,2580,1720,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 46,197.01921305060387,0.8857,0.9367992676079553,2640,1760,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2957c2957\n","< 48,190.55282953381536,0.8889,0.9385599580774424,2760,1840,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 48,190.55282953381538,0.8889,0.9385599580774423,2760,1840,0,0,gaussian,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2968c2968\n","< 8,456.1886858940125,0.6558,0.8069824408560565,360,240,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 8,456.18868589401245,0.6558,0.8069824408560565,360,240,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2996c2996\n","< 36,254.83424338698387,0.8333,0.9069559441612468,2040,1360,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 36,254.83424338698387,0.8333,0.9069559441612469,2040,1360,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","2998c2998\n","< 38,247.2844348847866,0.8416,0.911726962583588,2160,1440,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 38,247.2844348847866,0.8416,0.9117269625835881,2160,1440,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3000,3004c3000,3004\n","< 40,238.15095695853236,0.8518,0.9173623953579496,2280,1520,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 41,236.33760744333267,0.8488,0.9157735266000068,2340,1560,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 42,230.1456653475761,0.8594,0.921599906143178,2400,1600,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 43,225.4568332731724,0.8648,0.9246129999842498,2460,1640,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 44,222.74384087324145,0.863,0.9237107812689104,2520,1680,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 40,238.15095695853233,0.8518,0.9173623953579497,2280,1520,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 41,236.33760744333267,0.8488,0.9157735266000067,2340,1560,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 42,230.14566534757614,0.8594,0.9215999061431781,2400,1600,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 43,225.45683327317238,0.8648,0.9246129999842498,2460,1640,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 44,222.74384087324142,0.863,0.9237107812689104,2520,1680,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3007,3009c3007,3009\n","< 47,214.37900093197825,0.8689,0.927018289981966,2700,1800,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 48,211.9833941459656,0.871,0.9282175813168934,2760,1840,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 49,209.66930004954335,0.871,0.9282439096122675,2820,1880,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 47,214.37900093197823,0.8689,0.9270182899819661,2700,1800,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 48,211.98339414596558,0.871,0.9282175813168934,2760,1840,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 49,209.66930004954338,0.871,0.9282439096122677,2820,1880,0,0,lie,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3021c3021\n","< 10,422.0375992059708,0.7498,0.8611927494302153,480,320,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 10,422.03759920597076,0.7498,0.8611927494302153,480,320,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3023,3024c3023,3024\n","< 12,397.1688923835754,0.7608,0.8674235857480145,600,400,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 13,387.7125405669212,0.7627,0.8687616977129917,660,440,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 12,397.16889238357544,0.7608,0.8674235857480145,600,400,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 13,387.71254056692123,0.7627,0.8687616977129917,660,440,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3035,3038c3035,3038\n","< 24,303.5950782299042,0.825,0.9035852128544108,1320,880,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 25,298.1391867995262,0.828,0.90520100867734,1380,920,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 26,293.1508885025978,0.8311,0.9068174211833436,1440,960,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 27,288.5900303721428,0.8381,0.9104296141783256,1500,1000,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 24,303.5950782299042,0.825,0.9035852128544107,1320,880,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 25,298.1391867995262,0.828,0.9052010086773399,1380,920,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 26,293.1508885025978,0.8311,0.9068174211833437,1440,960,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 27,288.5900303721428,0.8381,0.9104296141783257,1500,1000,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3040c3040\n","< 29,279.7992003560066,0.8393,0.9113214366658124,1620,1080,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 29,279.7992003560066,0.8393,0.9113214366658123,1620,1080,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3042c3042\n","< 31,271.0390637218952,0.845,0.9142395109517912,1740,1160,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 31,271.0390637218952,0.845,0.9142395109517913,1740,1160,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3045,3047c3045,3047\n","< 34,256.45620611310005,0.8591,0.9221119069449676,1920,1280,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 35,250.68886587023732,0.8657,0.9258052317547618,1980,1320,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 36,246.56559118628505,0.8671,0.9265842767145674,2040,1360,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 34,256.45620611310005,0.8591,0.9221119069449675,1920,1280,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 35,250.68886587023735,0.8657,0.9258052317547618,1980,1320,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 36,246.56559118628502,0.8671,0.9265842767145674,2040,1360,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3051c3051\n","< 40,229.66933953762052,0.8823,0.9349214643304368,2280,1520,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 40,229.66933953762054,0.8823,0.9349214643304368,2280,1520,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3053,3055c3053,3055\n","< 42,221.549791097641,0.8868,0.9373178790993708,2400,1600,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 43,216.99446323513985,0.8888,0.93840811670157,2460,1640,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 44,214.45551592111588,0.8875,0.9377684846335492,2520,1680,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 42,221.549791097641,0.8868,0.9373178790993709,2400,1600,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 43,216.99446323513985,0.8888,0.9384081167015699,2460,1640,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 44,214.45551592111588,0.8875,0.9377684846335491,2520,1680,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3057,3059c3057,3059\n","< 46,207.9829855263233,0.8921,0.9402995137767212,2640,1760,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 47,205.86040675640103,0.8921,0.9403645985256708,2700,1800,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 48,202.99835523962972,0.8934,0.941066069458948,2760,1840,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 46,207.98298552632332,0.8921,0.9402995137767212,2640,1760,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 47,205.86040675640106,0.8921,0.9403645985256708,2700,1800,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 48,202.99835523962975,0.8934,0.9410660694589481,2760,1840,0,0,fang,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3072c3072\n","< 10,420.5015367865562,0.7305,0.8476020246447987,480,320,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 10,420.50153678655624,0.7305,0.8476020246447987,480,320,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3074c3074\n","< 12,396.2282115221024,0.7379,0.8518128909084786,600,400,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 12,396.22821152210236,0.7379,0.8518128909084786,600,400,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3076,3078c3076,3078\n","< 14,376.34176248312,0.7463,0.856713494708407,720,480,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 15,366.0114096999168,0.7544,0.8612438719356422,780,520,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 16,360.6734574437141,0.7521,0.8600112341499756,840,560,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 14,376.34176248311996,0.7463,0.856713494708407,720,480,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 15,366.01140969991684,0.7544,0.8612438719356422,780,520,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 16,360.67345744371414,0.7521,0.8600112341499756,840,560,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3100,3102c3100,3102\n","< 38,249.4362006783485,0.8244,0.900788123861876,2160,1440,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 39,244.3028746843338,0.8293,0.9035246719054244,2220,1480,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 40,239.79127249121663,0.8373,0.908001126688994,2280,1520,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 38,249.43620067834854,0.8244,0.900788123861876,2160,1440,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 39,244.3028746843338,0.8293,0.9035246719054243,2220,1480,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 40,239.79127249121666,0.8373,0.908001126688994,2280,1520,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3104,3108c3104,3108\n","< 42,232.6723827421665,0.8409,0.91012403718447,2400,1600,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 43,228.6150487959385,0.8427,0.9110869382467224,2460,1640,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 44,226.8806943595409,0.8404,0.9099030005869742,2520,1680,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 45,223.1646513938904,0.8462,0.9133297069114754,2580,1720,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 46,219.9947116971016,0.85,0.9154339456092516,2640,1760,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 42,232.67238274216652,0.8409,0.9101240371844701,2400,1600,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 43,228.6150487959385,0.8427,0.9110869382467225,2460,1640,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 44,226.88069435954094,0.8404,0.9099030005869742,2520,1680,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 45,223.16465139389038,0.8462,0.9133297069114754,2580,1720,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 46,219.9947116971016,0.85,0.9154339456092517,2640,1760,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3111c3111\n","< 49,214.04767510294917,0.847,0.9138442315774172,2820,1880,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 49,214.04767510294914,0.847,0.9138442315774172,2820,1880,0,0,minmax,mnist,60,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3119,3122c3119,3122\n","< 6,488.5320672988892,0.6582,0.808537663489032,320,80,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 7,470.4792360067368,0.6635,0.8116286672923859,400,100,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 8,455.6851962804794,0.6623,0.8115041866398839,480,120,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 9,439.5317894816399,0.6699,0.8151278145387358,560,140,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 6,488.53206729888916,0.6582,0.808537663489032,320,80,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 7,470.47923600673676,0.6635,0.8116286672923859,400,100,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 8,455.68519628047943,0.6623,0.8115041866398839,480,120,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 9,439.53178948163986,0.6699,0.8151278145387358,560,140,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3141c3141\n","< 28,297.3810350298881,0.7596,0.8656323431532279,2080,520,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 28,297.38103502988815,0.7596,0.8656323431532279,2080,520,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3152c3152\n","< 39,252.37571322917935,0.807,0.8922554022752903,2960,740,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 39,252.37571322917938,0.807,0.8922554022752903,2960,740,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3155c3155\n","< 42,238.76470798254013,0.8295,0.9048577756369052,3200,800,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 42,238.76470798254013,0.8295,0.9048577756369053,3200,800,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3157c3157\n","< 44,233.00889983773232,0.8352,0.9084891944058584,3360,840,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 44,233.00889983773232,0.8352,0.9084891944058583,3360,840,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3159c3159\n","< 46,224.6932983994484,0.8427,0.9121893274674372,3520,880,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 46,224.6932983994484,0.8427,0.9121893274674371,3520,880,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3162,3163c3162,3163\n","< 49,222.86830511689183,0.8347,0.9082871472132028,3760,940,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 50,219.964287430048,0.8349,0.9082932151603272,3840,960,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 49,222.86830511689186,0.8347,0.9082871472132027,3760,940,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 50,219.964287430048,0.8349,0.9082932151603273,3840,960,0,0,gaussian,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3171c3171\n","< 7,465.9066088199616,0.6718,0.8174051655217806,400,100,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 7,465.90660881996155,0.6718,0.8174051655217806,400,100,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3191c3191\n","< 27,297.5293982625008,0.7732,0.8752480011741592,2000,500,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 27,297.52939826250076,0.7732,0.8752480011741592,2000,500,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3197c3197\n","< 33,273.98824685812,0.7821,0.880600431902413,2480,620,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 33,273.98824685811996,0.7821,0.880600431902413,2480,620,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3202,3203c3202,3203\n","< 38,257.692189604044,0.8053,0.8935534971898367,2880,720,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 39,252.25933057069776,0.813,0.8974115607063698,2960,740,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 38,257.69218960404396,0.8053,0.8935534971898367,2880,720,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 39,252.25933057069778,0.813,0.8974115607063698,2960,740,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3205c3205\n","< 41,246.79932326078412,0.8088,0.8953570280591198,3120,780,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 41,246.79932326078415,0.8088,0.8953570280591198,3120,780,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3209,3215c3209,3215\n","< 45,231.29020339250565,0.8293,0.9066427086540476,3440,860,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 46,227.47763016819957,0.8333,0.9089311463475618,3520,880,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 47,225.26623794436452,0.8342,0.9093718426383302,3600,900,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 48,223.44389975070956,0.8367,0.9106962925799132,3680,920,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 49,222.2198398709297,0.8361,0.9102591285519204,3760,940,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 50,217.47179433703425,0.8415,0.913112889183932,3840,960,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 0,725.5451519489288,0.0963,0.4985993282876295,0,0,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 45,231.29020339250565,0.8293,0.9066427086540475,3440,860,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 46,227.47763016819954,0.8333,0.9089311463475618,3520,880,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 47,225.26623794436455,0.8342,0.9093718426383302,3600,900,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 48,223.44389975070953,0.8367,0.9106962925799131,3680,920,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 49,222.21983987092972,0.8361,0.9102591285519205,3760,940,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 50,217.47179433703423,0.8415,0.9131128891839321,3840,960,0,0,lie,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 0,725.5451519489288,0.0963,0.49859932828762954,0,0,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3224c3224\n","< 9,453.2079526185989,0.6798,0.8224873350286751,560,140,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 9,453.20795261859894,0.6798,0.8224873350286751,560,140,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3227,3230c3227,3230\n","< 12,410.5671246051788,0.7051,0.8365441771919515,800,200,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 13,398.7340577244759,0.7162,0.842757094350931,880,220,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 14,387.0741292238236,0.725,0.8476197508389648,960,240,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 15,377.8843209147453,0.7359,0.8533058825849482,1040,260,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 12,410.56712460517883,0.7051,0.8365441771919515,800,200,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 13,398.73405772447586,0.7162,0.842757094350931,880,220,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 14,387.07412922382355,0.725,0.8476197508389648,960,240,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 15,377.88432091474533,0.7359,0.8533058825849482,1040,260,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3232c3232\n","< 17,363.1918441653252,0.7378,0.8548819964454133,1200,300,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 17,363.19184416532516,0.7378,0.8548819964454133,1200,300,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3258c3258\n","< 43,248.63837122917172,0.8192,0.8989364127304544,3280,820,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 43,248.63837122917175,0.8192,0.8989364127304544,3280,820,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3262,3265c3262,3265\n","< 47,238.18840524554253,0.8255,0.9025573837034132,3600,900,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 48,235.78394639492035,0.8276,0.9037352858075124,3680,920,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 49,235.0485560297966,0.823,0.9012192960450116,3760,940,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 50,232.55260637402532,0.8262,0.9027526126987062,3840,960,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 47,238.18840524554253,0.8255,0.9025573837034131,3600,900,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 48,235.78394639492035,0.8276,0.9037352858075123,3680,920,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 49,235.0485560297966,0.823,0.9012192960450115,3760,940,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 50,232.55260637402534,0.8262,0.9027526126987062,3840,960,0,0,fang,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3276c3276\n","< 10,441.4606783986092,0.5755,0.7654128571558316,640,160,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 10,441.46067839860916,0.5755,0.7654128571558316,640,160,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3285c3285\n","< 19,363.5480861663818,0.6292,0.7955257391746986,1360,340,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 19,363.54808616638184,0.6292,0.7955257391746986,1360,340,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3302c3302\n","< 36,281.8745702505112,0.7299,0.8500052883790294,2720,680,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 36,281.87457025051117,0.7299,0.8500052883790294,2720,680,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3311,3312c3311,3312\n","< 45,243.56495159864423,0.7888,0.8823753960534578,3440,860,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","< 46,238.3138935863972,0.794,0.8855273517921786,3520,880,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","---\n","> 45,243.56495159864426,0.7888,0.8823753960534578,3440,860,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","> 46,238.31389358639717,0.794,0.8855273517921786,3520,880,0,0,minmax,mnist,80,flanders,flwr.server.strategy.aggregate.aggregate_bulyan\n","3325c3325\n","< 8,443.1061298847199,0.7219,0.8441853518951774,0,600,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 8,443.10612988471985,0.7219,0.8441853518951774,0,600,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3328c3328\n","< 11,401.4963066577912,0.7412,0.855069104109738,0,900,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 11,401.49630665779114,0.7412,0.855069104109738,0,900,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3348,3349c3348,3349\n","< 31,264.3010641336441,0.8283,0.904071874010682,0,2900,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 32,260.22051841020584,0.8305,0.9052779916799264,0,3000,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 31,264.3010641336441,0.8283,0.9040718740106819,0,2900,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 32,260.22051841020584,0.8305,0.9052779916799263,0,3000,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3351c3351\n","< 34,252.2303813695908,0.8373,0.9090642275105318,0,3200,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 34,252.23038136959076,0.8373,0.9090642275105318,0,3200,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3354c3354\n","< 37,241.20464000105855,0.8422,0.9118228977777988,0,3500,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 37,241.20464000105858,0.8422,0.9118228977777989,0,3500,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3357c3357\n","< 40,231.0927201509476,0.8458,0.9138208306632184,0,3800,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 40,231.09272015094757,0.8458,0.9138208306632183,0,3800,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3359,3362c3359,3362\n","< 42,224.80339178442955,0.8492,0.9157940691372656,0,4000,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 43,221.75889617204663,0.8505,0.916546278992984,0,4100,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 44,218.63643902540207,0.8517,0.9172232824814192,0,4200,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 45,215.73153221607208,0.8534,0.9181989672140636,0,4300,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 42,224.80339178442955,0.8492,0.9157940691372657,0,4000,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 43,221.75889617204666,0.8505,0.9165462789929839,0,4100,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 44,218.63643902540207,0.8517,0.9172232824814193,0,4200,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 45,215.73153221607208,0.8534,0.9181989672140635,0,4300,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3364,3365c3364,3365\n","< 47,209.98356208205223,0.8559,0.9196045909477564,0,4500,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 48,207.2218678593636,0.8571,0.9202963664807856,0,4600,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 47,209.98356208205223,0.8559,0.9196045909477565,0,4500,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 48,207.22186785936356,0.8571,0.9202963664807857,0,4600,0,0,gaussian,mnist,0,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3398,3403c3398,3403\n","< 30,265.9764662086964,0.8226,0.9017816284287216,560,2240,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 31,260.6611688733101,0.8269,0.9042506319688388,580,2320,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 32,255.83651280403137,0.8308,0.9063636220175264,600,2400,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 33,250.83238768577576,0.8347,0.908466652998512,620,2480,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 34,246.65011909604075,0.8383,0.9104646323367184,640,2560,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 35,242.1599770188332,0.8405,0.9117387809751888,660,2640,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 30,265.97646620869637,0.8226,0.9017816284287216,560,2240,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 31,260.6611688733101,0.8269,0.9042506319688387,580,2320,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 32,255.83651280403137,0.8308,0.9063636220175265,600,2400,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 33,250.83238768577576,0.8347,0.9084666529985119,620,2480,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 34,246.65011909604073,0.8383,0.9104646323367185,640,2560,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 35,242.15997701883316,0.8405,0.9117387809751889,660,2640,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3405c3405\n","< 37,233.0298919081688,0.8496,0.916702583342604,700,2800,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 37,233.0298919081688,0.8496,0.9167025833426041,700,2800,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3407,3408c3407,3408\n","< 39,225.1084311008453,0.8567,0.9205373150046344,740,2960,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 40,221.0886451005936,0.8608,0.922757395828782,760,3040,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 39,225.10843110084534,0.8567,0.9205373150046345,740,2960,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 40,221.08864510059357,0.8608,0.922757395828782,760,3040,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3410c3410\n","< 42,213.69420504570007,0.8666,0.9260603108134275,800,3200,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 42,213.69420504570007,0.8666,0.9260603108134277,800,3200,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3413,3415c3413,3415\n","< 45,202.11118254065516,0.8769,0.9316776167886742,860,3440,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 46,198.7172770500183,0.8801,0.9335212569443476,880,3520,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 47,195.950136333704,0.8814,0.934206285148486,900,3600,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 45,202.11118254065514,0.8769,0.9316776167886742,860,3440,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 46,198.7172770500183,0.8801,0.9335212569443477,880,3520,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 47,195.950136333704,0.8814,0.9342062851484861,900,3600,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3417,3418c3417,3418\n","< 49,188.37894569337368,0.8876,0.9375886828210652,940,3760,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 50,185.5671923607588,0.8892,0.938435520665322,960,3840,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 49,188.37894569337368,0.8876,0.9375886828210651,940,3760,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 50,185.56719236075878,0.8892,0.938435520665322,960,3840,0,0,gaussian,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3431c3431\n","< 12,394.4696451425552,0.7568,0.8658844596795061,200,800,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 12,394.46964514255524,0.7568,0.8658844596795061,200,800,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3433c3433\n","< 14,375.9729202985764,0.7619,0.868889179427112,240,960,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 14,375.97292029857635,0.7619,0.868889179427112,240,960,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3440c3440\n","< 21,325.9667015075684,0.7867,0.8826263797359071,380,1520,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 21,325.96670150756836,0.7867,0.8826263797359071,380,1520,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3442c3442\n","< 23,314.936009824276,0.7961,0.8878123685396124,420,1680,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 23,314.93600982427597,0.7961,0.8878123685396124,420,1680,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3450c3450\n","< 31,278.7213610708713,0.8143,0.8977669980605805,580,2320,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 31,278.72136107087135,0.8143,0.8977669980605805,580,2320,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3455,3458c3455,3458\n","< 36,257.8693657517433,0.8332,0.9082406816375757,680,2720,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 37,254.249857455492,0.8347,0.9090980504041888,700,2800,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 38,251.3606588840485,0.8346,0.9091060237957008,720,2880,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 39,247.3432896733284,0.839,0.9114298551444144,740,2960,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 36,257.8693657517433,0.8332,0.9082406816375755,680,2720,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 37,254.24985745549202,0.8347,0.9090980504041889,700,2800,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 38,251.36065888404846,0.8346,0.9091060237957007,720,2880,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 39,247.3432896733284,0.839,0.9114298551444143,740,2960,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3460c3460\n","< 41,239.8960407674313,0.8475,0.9161105722085982,780,3120,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 41,239.89604076743126,0.8475,0.9161105722085982,780,3120,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3463,3464c3463,3464\n","< 44,231.25733017921448,0.8484,0.916686341570948,840,3360,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 45,228.41780698299408,0.8507,0.9179226539025792,860,3440,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 44,231.25733017921448,0.8484,0.9166863415709479,840,3360,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 45,228.41780698299408,0.8507,0.9179226539025791,860,3440,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3466,3467c3466,3467\n","< 47,222.55601036548612,0.8558,0.920702404294856,900,3600,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 48,219.55760815739632,0.8593,0.9225799398232636,920,3680,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 47,222.55601036548615,0.8558,0.920702404294856,900,3600,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 48,219.55760815739632,0.8593,0.9225799398232635,920,3680,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3469c3469\n","< 50,215.04763808846477,0.8609,0.9234410694139162,960,3840,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 50,215.04763808846474,0.8609,0.9234410694139162,960,3840,0,0,lie,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3528c3528\n","< 7,466.8959420919418,0.6111,0.784492135565269,100,400,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 7,466.89594209194183,0.6111,0.784492135565269,100,400,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3533c3533\n","< 12,402.3251039385796,0.6485,0.8053489771703457,200,800,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 12,402.32510393857956,0.6485,0.8053489771703457,200,800,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3535c3535\n","< 14,383.9039501547813,0.6645,0.8143660280959251,240,960,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 14,383.90395015478134,0.6645,0.8143660280959251,240,960,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3538c3538\n","< 17,360.3859773278237,0.687,0.8266463297233168,300,1200,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 17,360.38597732782364,0.687,0.8266463297233168,300,1200,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3543c3543\n","< 22,330.1188524961472,0.7088,0.8387775074165201,400,1600,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 22,330.11885249614716,0.7088,0.8387775074165201,400,1600,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3551c3551\n","< 30,294.657760322094,0.7387,0.8554318713002298,560,2240,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 30,294.65776032209396,0.7387,0.8554318713002298,560,2240,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3553c3553\n","< 32,286.0442064404488,0.7532,0.8633910906756104,600,2400,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 32,286.04420644044876,0.7532,0.8633910906756104,600,2400,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3564c3564\n","< 43,242.5406409800053,0.8105,0.8951346273169005,820,3280,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 43,242.54064098000526,0.8105,0.8951346273169005,820,3280,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3567c3567\n","< 46,234.4080401659012,0.8171,0.8987746666530914,880,3520,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 46,234.40804016590118,0.8171,0.8987746666530914,880,3520,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3569,3570c3569,3570\n","< 48,228.7944403588772,0.8231,0.902142896407268,920,3680,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 49,225.0133508741856,0.8288,0.905260017116854,940,3760,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 48,228.79444035887718,0.8231,0.902142896407268,920,3680,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 49,225.01335087418556,0.8288,0.9052600171168541,940,3760,0,0,minmax,mnist,20,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3579c3579\n","< 7,453.81882417202,0.6941,0.8275282056304134,300,200,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 7,453.81882417201996,0.6941,0.8275282056304134,300,200,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3590c3590\n","< 18,334.4841238856316,0.7828,0.8772559854719484,960,640,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 18,334.48412388563156,0.7828,0.8772559854719484,960,640,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3592c3592\n","< 20,320.370779812336,0.7954,0.8844001454201725,1080,720,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 20,320.37077981233597,0.7954,0.8844001454201725,1080,720,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3601,3603c3601,3603\n","< 29,274.85263055562973,0.8279,0.9034387730521588,1620,1080,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 30,270.4678471684456,0.8332,0.9063443463937152,1680,1120,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 31,265.9534642100334,0.8343,0.9068230550966768,1740,1160,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 29,274.85263055562973,0.8279,0.9034387730521587,1620,1080,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 30,270.4678471684456,0.8332,0.9063443463937151,1680,1120,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 31,265.9534642100334,0.8343,0.9068230550966769,1740,1160,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3605,3606c3605,3606\n","< 33,258.341726154089,0.8401,0.9105482088962116,1860,1240,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 34,252.61163648962972,0.8444,0.9128315541748856,1920,1280,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 33,258.341726154089,0.8401,0.9105482088962115,1860,1240,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 34,252.61163648962975,0.8444,0.9128315541748855,1920,1280,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3608,3611c3608,3611\n","< 36,244.67796418070796,0.8509,0.9161937284152634,2040,1360,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 37,242.9796835780144,0.8477,0.9145581400336102,2100,1400,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 38,238.4493313133717,0.8512,0.9163278920037344,2160,1440,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 39,235.5397346317768,0.8509,0.9161115611006628,2220,1480,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 36,244.67796418070793,0.8509,0.9161937284152634,2040,1360,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 37,242.97968357801437,0.8477,0.9145581400336102,2100,1400,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 38,238.44933131337166,0.8512,0.9163278920037344,2160,1440,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 39,235.5397346317768,0.8509,0.9161115611006629,2220,1480,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3613,3614c3613,3614\n","< 41,227.7003694176674,0.8579,0.9201469557679076,2340,1560,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 42,223.5915659666061,0.8604,0.9215853479012666,2400,1600,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 41,227.7003694176674,0.8579,0.9201469557679077,2340,1560,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 42,223.59156596660614,0.8604,0.9215853479012666,2400,1600,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3616c3616\n","< 44,219.2187566459179,0.8612,0.9221542767031644,2520,1680,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 44,219.2187566459179,0.8612,0.9221542767031645,2520,1680,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3618c3618\n","< 46,213.90101405978203,0.8629,0.9230806366797956,2640,1760,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 46,213.90101405978203,0.8629,0.9230806366797957,2640,1760,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3620,3623c3620,3623\n","< 48,206.6853285133839,0.8677,0.9257949038824064,2760,1840,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 49,203.6621951162815,0.8709,0.9275633362541812,2820,1880,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 50,201.6699114739895,0.8698,0.9269266957261384,2880,1920,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 0,720.0564479827881,0.0874,0.4938890465671021,0,0,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 48,206.68532851338387,0.8677,0.9257949038824063,2760,1840,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 49,203.6621951162815,0.8709,0.9275633362541811,2820,1880,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 50,201.6699114739895,0.8698,0.9269266957261385,2880,1920,0,0,gaussian,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 0,720.0564479827881,0.0874,0.49388904656710214,0,0,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3635,3636c3635,3636\n","< 12,396.7420991659165,0.713,0.840459175358258,600,400,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 13,388.4295881390572,0.7111,0.8398333495641612,660,440,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 12,396.74209916591644,0.713,0.840459175358258,600,400,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 13,388.42958813905716,0.7111,0.8398333495641612,660,440,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3649c3649\n","< 26,304.0127221345901,0.7715,0.8730112008736526,1440,960,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 26,304.01272213459015,0.7715,0.8730112008736526,1440,960,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3662,3663c3662,3663\n","< 39,250.0203868150711,0.8238,0.9016323367034116,2220,1480,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 40,246.1146375834942,0.8313,0.9057829518256688,2280,1520,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 39,250.0203868150711,0.8238,0.9016323367034115,2220,1480,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 40,246.1146375834942,0.8313,0.9057829518256689,2280,1520,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3666c3666\n","< 43,234.5338318645954,0.8422,0.9119599993959,2460,1640,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 43,234.5338318645954,0.8422,0.9119599993959001,2460,1640,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3671c3671\n","< 48,220.85131216049197,0.8555,0.9197244700195664,2760,1840,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 48,220.85131216049194,0.8555,0.9197244700195665,2760,1840,0,0,lie,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3674c3674\n","< 0,725.4967374801636,0.0385,0.4659180204813768,0,0,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 0,725.4967374801636,0.0385,0.46591802048137687,0,0,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3681c3681\n","< 7,462.5752565860748,0.691,0.8275372002430071,300,200,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 7,462.57525658607483,0.691,0.8275372002430071,300,200,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3683c3683\n","< 9,428.7119454145432,0.7004,0.8330615665039087,420,280,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 9,428.71194541454315,0.7004,0.8330615665039087,420,280,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3699c3699\n","< 25,293.7140255570412,0.7998,0.8892774349972538,1380,920,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 25,293.71402555704117,0.7998,0.8892774349972538,1380,920,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3706,3707c3706,3707\n","< 32,264.8129105269909,0.8213,0.9010741314586036,1800,1200,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 33,259.18173587322235,0.8245,0.9029164646382148,1860,1240,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 32,264.8129105269909,0.8213,0.9010741314586037,1800,1200,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 33,259.18173587322235,0.8245,0.9029164646382147,1860,1240,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3709c3709\n","< 35,248.84621760249135,0.8401,0.911459927112449,1980,1320,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 35,248.84621760249138,0.8401,0.911459927112449,1980,1320,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3711,3718c3711,3718\n","< 37,239.7166557312012,0.8459,0.9145566372891284,2100,1400,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 38,237.70255702733996,0.8442,0.9137525502314388,2160,1440,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 39,233.13906767964363,0.85,0.9169049055868403,2220,1480,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 40,229.14188358187675,0.8552,0.9197532473393628,2280,1520,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 41,226.9674966335297,0.8515,0.9177374037678694,2340,1560,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 42,221.87195828557012,0.8612,0.923024634860692,2400,1600,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 43,217.12089294195172,0.862,0.923513423836354,2460,1640,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 44,214.53449940681455,0.8603,0.9226598896350728,2520,1680,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 37,239.71665573120117,0.8459,0.9145566372891283,2100,1400,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 38,237.70255702733994,0.8442,0.9137525502314388,2160,1440,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 39,233.13906767964363,0.85,0.9169049055868405,2220,1480,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 40,229.14188358187675,0.8552,0.9197532473393627,2280,1520,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 41,226.96749663352966,0.8515,0.9177374037678694,2340,1560,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 42,221.87195828557014,0.8612,0.9230246348606921,2400,1600,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 43,217.12089294195175,0.862,0.923513423836354,2460,1640,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 44,214.53449940681458,0.8603,0.9226598896350728,2520,1680,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3720,3723c3720,3723\n","< 46,208.11404445767403,0.8664,0.925967360248444,2640,1760,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 47,206.52480885386467,0.8648,0.9251855555103812,2700,1800,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 48,203.77267786860463,0.8681,0.9269639578725378,2760,1840,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 49,200.6248816549778,0.8693,0.9276207961975536,2820,1880,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 46,208.11404445767403,0.8664,0.9259673602484441,2640,1760,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 47,206.52480885386467,0.8648,0.9251855555103813,2700,1800,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 48,203.77267786860466,0.8681,0.9269639578725378,2760,1840,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 49,200.6248816549778,0.8693,0.9276207961975537,2820,1880,0,0,fang,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3731,3732c3731,3732\n","< 6,488.5392855405808,0.6724,0.8176580030559508,240,160,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 7,468.0936297178269,0.6763,0.8196169021507856,300,200,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 6,488.53928554058075,0.6724,0.8176580030559508,240,160,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 7,468.09362971782684,0.6763,0.8196169021507856,300,200,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3739c3739\n","< 14,375.6583583950997,0.7228,0.8460200294161174,720,480,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 14,375.65835839509964,0.7228,0.8460200294161174,720,480,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3760c3760\n","< 35,256.3972774744034,0.8311,0.906146841067944,1980,1320,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 35,256.3972774744034,0.8311,0.9061468410679439,1980,1320,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3764,3766c3764,3766\n","< 39,242.1629047095776,0.8401,0.9110678296018933,2220,1480,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 40,238.0846864581108,0.8444,0.9133690285922696,2280,1520,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 41,236.74345433712008,0.8403,0.9111858149851396,2340,1560,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 39,242.16290470957756,0.8401,0.9110678296018933,2220,1480,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 40,238.0846864581108,0.8444,0.9133690285922695,2280,1520,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 41,236.74345433712006,0.8403,0.9111858149851397,2340,1560,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3769,3775c3769,3775\n","< 44,224.81984627246857,0.8522,0.9178120981602892,2520,1680,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 45,222.2502551972866,0.8562,0.919998429948236,2580,1720,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 46,219.14552599191663,0.859,0.92150974480897,2640,1760,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 47,218.09234192967412,0.856,0.9198982154229872,2700,1800,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 48,214.88163194060328,0.8594,0.9217962182895448,2760,1840,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 49,212.4153855741024,0.8585,0.9213046478322172,2820,1880,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 50,210.80777180194852,0.8586,0.9213560511424368,2880,1920,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 44,224.81984627246857,0.8522,0.9178120981602893,2520,1680,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 45,222.2502551972866,0.8562,0.9199984299482361,2580,1720,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 46,219.14552599191666,0.859,0.9215097448089699,2640,1760,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 47,218.09234192967415,0.856,0.9198982154229871,2700,1800,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 48,214.88163194060326,0.8594,0.9217962182895449,2760,1840,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 49,212.4153855741024,0.8585,0.9213046478322171,2820,1880,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 50,210.80777180194855,0.8586,0.9213560511424369,2880,1920,0,0,minmax,mnist,60,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3781c3781\n","< 5,505.8024921417236,0.6308,0.7962748471754806,240,60,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 5,505.80249214172363,0.6308,0.7962748471754806,240,60,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3788c3788\n","< 12,390.6606061458588,0.708,0.8385146758973885,800,200,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 12,390.66060614585876,0.708,0.8385146758973885,800,200,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3816c3816\n","< 40,249.18740144371984,0.8197,0.901938781664537,3040,760,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 40,249.18740144371986,0.8197,0.901938781664537,3040,760,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3819c3819\n","< 43,238.18391066789627,0.8339,0.9098929131148472,3280,820,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 43,238.18391066789627,0.8339,0.9098929131148473,3280,820,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3821c3821\n","< 45,233.8205818533897,0.8351,0.910507514987073,3440,860,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 45,233.82058185338974,0.8351,0.910507514987073,3440,860,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3823,3826c3823,3826\n","< 47,229.68685549497604,0.8352,0.9103052629808132,3600,900,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 48,229.30001565814015,0.8306,0.907958807325573,3680,920,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 49,228.53931483626369,0.8262,0.9058751170974044,3760,940,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 50,226.1753381192684,0.8266,0.905971659050904,3840,960,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 47,229.68685549497604,0.8352,0.9103052629808133,3600,900,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 48,229.30001565814018,0.8306,0.907958807325573,3680,920,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 49,228.53931483626366,0.8262,0.9058751170974044,3760,940,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 50,226.17533811926842,0.8266,0.905971659050904,3840,960,0,0,gaussian,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3833c3833\n","< 6,484.2838757038117,0.6016,0.7789237105433494,320,80,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 6,484.28387570381165,0.6016,0.7789237105433494,320,80,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3835c3835\n","< 8,449.2537927627564,0.6088,0.7838020861240498,480,120,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 8,449.25379276275635,0.6088,0.7838020861240498,480,120,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3856c3856\n","< 29,278.1755751371384,0.7943,0.885362029255921,2160,540,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 29,278.17557513713837,0.7943,0.885362029255921,2160,540,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3863,3865c3863,3865\n","< 36,250.60138607025144,0.8048,0.8907220874237586,2720,680,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 37,243.22921642661092,0.8195,0.898893547868313,2800,700,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 38,240.8109457194805,0.8251,0.90200012216189,2880,720,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 36,250.60138607025146,0.8048,0.8907220874237586,2720,680,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 37,243.22921642661095,0.8195,0.898893547868313,2800,700,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 38,240.81094571948051,0.8251,0.9020001221618899,2880,720,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3868,3870c3868,3870\n","< 41,230.6176492869854,0.8247,0.901812796338682,3120,780,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 42,226.09037619829175,0.8315,0.9054932540999256,3200,800,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 43,219.50869050621984,0.8389,0.9097662665858012,3280,820,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 41,230.6176492869854,0.8247,0.9018127963386819,3120,780,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 42,226.09037619829178,0.8315,0.9054932540999256,3200,800,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 43,219.50869050621986,0.8389,0.9097662665858011,3280,820,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3872,3877c3872,3877\n","< 45,214.047621011734,0.8389,0.9097763061211768,3440,860,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 46,208.49741587042809,0.8482,0.9150373151306472,3520,880,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 47,205.97101205587387,0.8493,0.9156714605757016,3600,900,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 48,201.75432835519317,0.8554,0.9190473049784448,3680,920,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 49,199.63354544341564,0.855,0.9188906178269683,3760,940,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 50,197.4526764601469,0.8536,0.9178411396845528,3840,960,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 45,214.047621011734,0.8389,0.9097763061211769,3440,860,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 46,208.49741587042809,0.8482,0.9150373151306471,3520,880,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 47,205.97101205587387,0.8493,0.9156714605757017,3600,900,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 48,201.75432835519314,0.8554,0.9190473049784449,3680,920,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 49,199.63354544341564,0.855,0.9188906178269685,3760,940,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 50,197.4526764601469,0.8536,0.9178411396845529,3840,960,0,0,lie,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3883c3883\n","< 5,503.0306415557861,0.7432,0.8566369980909145,240,60,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 5,503.03064155578613,0.7432,0.8566369980909145,240,60,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3887,3888c3887,3888\n","< 9,424.417867898941,0.7283,0.8487231891596801,560,140,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 10,408.4818769693375,0.7512,0.8623400302249473,640,160,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 9,424.41786789894104,0.7283,0.8487231891596801,560,140,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 10,408.48187696933746,0.7512,0.8623400302249473,640,160,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3895c3895\n","< 17,336.7597445249557,0.8094,0.8951541438558845,1200,300,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 17,336.75974452495575,0.8094,0.8951541438558845,1200,300,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3898c3898\n","< 20,314.8114531636238,0.8229,0.9024468518878108,1440,360,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 20,314.8114531636238,0.8229,0.9024468518878107,1440,360,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3900,3901c3900,3901\n","< 22,302.2738924622536,0.8232,0.9025409603697184,1600,400,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 23,297.0812952518463,0.8267,0.9048832959782964,1680,420,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 22,302.27389246225357,0.8232,0.9025409603697183,1600,400,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 23,297.0812952518463,0.8267,0.9048832959782963,1680,420,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3903,3904c3903,3904\n","< 25,283.37580960989,0.839,0.9114570460392044,1840,460,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 26,280.9949665367604,0.8353,0.909656511456071,1920,480,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 25,283.37580960989,0.839,0.9114570460392043,1840,460,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 26,280.99496653676033,0.8353,0.909656511456071,1920,480,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3906,3909c3906,3909\n","< 28,271.4088060557842,0.8435,0.9136304940580836,2080,520,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 29,267.20425167679787,0.8469,0.915852256379146,2160,540,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 30,261.3073995709419,0.8484,0.9166716277128208,2240,560,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 31,261.2102832198143,0.8411,0.912499375954418,2320,580,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 28,271.4088060557842,0.8435,0.9136304940580837,2080,520,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 29,267.20425167679787,0.8469,0.9158522563791461,2160,540,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 30,261.3073995709419,0.8484,0.9166716277128207,2240,560,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 31,261.2102832198143,0.8411,0.9124993759544179,2320,580,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3911,3913c3911,3913\n","< 33,250.99436601996425,0.8496,0.9173434233674308,2480,620,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 34,247.32403442263603,0.8527,0.9190693616045388,2560,640,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 35,241.55540040135384,0.8607,0.9235388407542188,2640,660,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 33,250.99436601996422,0.8496,0.9173434233674309,2480,620,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 34,247.32403442263603,0.8527,0.9190693616045387,2560,640,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 35,241.55540040135384,0.8607,0.9235388407542189,2640,660,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3915,3916c3915,3916\n","< 37,233.6002400815487,0.8633,0.924951470695606,2800,700,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 38,232.87698552012444,0.8636,0.9251102494995472,2880,720,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 37,233.6002400815487,0.8633,0.9249514706956059,2800,700,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 38,232.87698552012444,0.8636,0.9251102494995473,2880,720,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3918,3919c3918,3919\n","< 40,223.4697577059269,0.8706,0.9286953991936716,3040,760,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 41,222.189021229744,0.8647,0.9256496554146956,3120,780,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 40,223.4697577059269,0.8706,0.9286953991936715,3040,760,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 41,222.18902122974396,0.8647,0.9256496554146955,3120,780,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3921,3926c3921,3926\n","< 43,215.0030166208744,0.8677,0.9272515851395864,3280,820,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 44,213.10502660274503,0.867,0.9269489829041146,3360,840,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 45,210.50765857100487,0.8691,0.9281868732708296,3440,860,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 46,204.96000280976293,0.8746,0.9311697044905746,3520,880,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 47,202.96468105912209,0.8762,0.9319189052559724,3600,900,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 48,200.86006820201877,0.8781,0.9329262036767644,3680,920,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 43,215.0030166208744,0.8677,0.9272515851395863,3280,820,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 44,213.10502660274506,0.867,0.9269489829041146,3360,840,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 45,210.50765857100487,0.8691,0.9281868732708295,3440,860,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 46,204.96000280976295,0.8746,0.9311697044905746,3520,880,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 47,202.96468105912209,0.8762,0.9319189052559725,3600,900,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 48,200.86006820201874,0.8781,0.9329262036767645,3680,920,0,0,fang,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3941c3941\n","< 12,420.590705871582,0.6282,0.7961252545976596,800,200,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 12,420.59070587158203,0.6282,0.7961252545976596,800,200,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3943c3943\n","< 14,397.9418084621429,0.6576,0.8127823380439448,960,240,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 14,397.94180846214294,0.6576,0.8127823380439448,960,240,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3945c3945\n","< 16,385.4571477770805,0.6533,0.8105422538245446,1120,280,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 16,385.45714777708054,0.6533,0.8105422538245446,1120,280,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3947c3947\n","< 18,369.9729507565498,0.6679,0.818717903494693,1280,320,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 18,369.97295075654984,0.6679,0.818717903494693,1280,320,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3958c3958\n","< 29,307.3817666769028,0.7278,0.8519152975506337,2160,540,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 29,307.38176667690277,0.7278,0.8519152975506337,2160,540,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3973c3973\n","< 44,250.40837767720225,0.7709,0.8749417833583715,3360,840,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 44,250.40837767720222,0.7709,0.8749417833583715,3360,840,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","3975,3976c3975,3976\n","< 46,243.14283856749532,0.7815,0.8810503272695328,3520,880,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","< 47,241.0176822543144,0.7829,0.8817020857647346,3600,900,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","---\n","> 46,243.14283856749535,0.7815,0.8810503272695328,3520,880,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n","> 47,241.01768225431442,0.7829,0.8817020857647346,3600,900,0,0,minmax,mnist,80,flanders,flanders.strategies.aggregate.aggregate_dnc\n"]}],"source":["!diff ../outputs/all_results_mnist_flanders.csv ../outputs/original/all_results_mnist_flanders.csv"]},{"cell_type":"markdown","metadata":{"id":"y0XCCkuhwydB"},"source":["## MNIST"]},{"cell_type":"markdown","metadata":{"id":"NG2-2cpnyjkY"},"source":["### Use this shortcut"]},{"cell_type":"code","execution_count":7,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":244,"status":"ok","timestamp":1716376729975,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"lY85nEb6yrXu","outputId":"5439a3bc-684f-492f-b615-53e2252cd94c"},"outputs":[{"data":{"text/html":["
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00720.8331210.10450.5034220000GAUSSMNIST0FLANDERSFedAvg
11664.5222520.20890.5631160000GAUSSMNIST0FLANDERSFedAvg
22624.6338260.35600.6447310000GAUSSMNIST0FLANDERSFedAvg
33581.4764720.47730.710941010000GAUSSMNIST0FLANDERSFedAvg
44545.1142050.54300.746970020000GAUSSMNIST0FLANDERSFedAvg
..........................................
356546724.2817250.10250.5004790000AGR-MMMNIST80dncFedAvg
356647724.3501380.10240.5004210000AGR-MMMNIST80dncFedAvg
356748724.5352630.10250.5004790000AGR-MMMNIST80dncFedAvg
356849724.5888810.10280.5005980000AGR-MMMNIST80dncFedAvg
356950724.7838510.10280.5006020000AGR-MMMNIST80dncFedAvg
\n","

7548 rows × 13 columns

\n","
"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 720.833121 0.1045 0.503422 0 0 0 0 GAUSS \n","1 1 664.522252 0.2089 0.563116 0 0 0 0 GAUSS \n","2 2 624.633826 0.3560 0.644731 0 0 0 0 GAUSS \n","3 3 581.476472 0.4773 0.710941 0 100 0 0 GAUSS \n","4 4 545.114205 0.5430 0.746970 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 724.281725 0.1025 0.500479 0 0 0 0 AGR-MM \n","3566 47 724.350138 0.1024 0.500421 0 0 0 0 AGR-MM \n","3567 48 724.535263 0.1025 0.500479 0 0 0 0 AGR-MM \n","3568 49 724.588881 0.1028 0.500598 0 0 0 0 AGR-MM \n","3569 50 724.783851 0.1028 0.500602 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 MNIST 0 FLANDERS FedAvg \n","1 MNIST 0 FLANDERS FedAvg \n","2 MNIST 0 FLANDERS FedAvg \n","3 MNIST 0 FLANDERS FedAvg \n","4 MNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 MNIST 80 dnc FedAvg \n","3566 MNIST 80 dnc FedAvg \n","3567 MNIST 80 dnc FedAvg \n","3568 MNIST 80 dnc FedAvg \n","3569 MNIST 80 dnc FedAvg \n","\n","[7548 rows x 13 columns]"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["# CSV pre-processing MNIST\n","results_flanders_file = results_dir + \"all_results_mnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_mnist_no_flanders.csv\"\n","results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)\n","results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","mnist_df = pd.concat([results_flanders_df, results_no_flanders_df])\n","mnist_df"]},{"cell_type":"code","execution_count":7,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":9,"status":"ok","timestamp":1716115669854,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"hg3ysnqiNrms","outputId":"bae8ab71-ce7b-409a-b154-6ad42f9dfc3b"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'dnc']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc']\n"]}],"source":["print_unique_data(mnist_df)"]},{"cell_type":"markdown","metadata":{"id":"dE_uqUeuyl6M"},"source":["### Step-by-step processing"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"R9Cpe8bF8a2z"},"outputs":[],"source":["results_flanders_file = results_dir + \"all_results_mnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_mnist_no_flanders.csv\""]},{"cell_type":"code","execution_count":null,"metadata":{"id":"8nPsIraZ7nJK"},"outputs":[],"source":["results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1707513800371,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"oC_C6WVMshle","outputId":"20708ffb-24d9-4d94-fc83-6ab93c8d4ed0"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['mnist']\n","Unique values in strategy: ['flanders']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate'\n"," 'flwr.server.strategy.aggregate.aggregate_trimmed_avg'\n"," 'flwr.server.strategy.aggregate.aggregate_median'\n"," 'flwr.server.strategy.aggregate.aggregate_bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc'\n"," 'flwr.server.strategy.aggregate.aggregate_krum']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":423,"status":"ok","timestamp":1707478795736,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"2xSStl9-52cc","outputId":"391a3d7c-c4b5-486c-85a2-97d9a5ddb30d"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 40 60 80]\n","Unique values in dataset_name: ['mnist']\n","Unique values in strategy: ['fedavg' 'trimmedmean' 'fedmedian' 'bulyan' 'dnc' 'krum']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"8dEepZY28raZ"},"source":["Translate strings"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"zNPGc6YJ7E_J"},"outputs":[],"source":["results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"AQaNnF1K7TQc"},"outputs":[],"source":["results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":393,"status":"ok","timestamp":1707478246670,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"MXYnAzh8V-9t","outputId":"8f09ab5c-cd3e-4627-9f76-5f474ec09227"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FLANDERS']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":8,"status":"ok","timestamp":1707472989224,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"7xmPF5X77VQk","outputId":"f8e8331e-cde6-4413-f795-f0fe1a9cdd19"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 40 60 80]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n","Unique values in aggregate_fn: ['FedAvg']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"mjTmoV2M9YTk"},"source":["Concatenate the 2 dataframes, namely FLANDERS+f and baselines:"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"apvpT9Ve8wwv"},"outputs":[],"source":["mnist_df = pd.concat([results_flanders_df, results_no_flanders_df])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":424},"executionInfo":{"elapsed":5,"status":"ok","timestamp":1707513807441,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"aZuW73BW9Iu3","outputId":"3f558906-0d55-4ccd-e64f-5b62203ae746"},"outputs":[{"data":{"text/html":["\n","
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00720.2770980.10850.5048670000GAUSSMNIST0FLANDERSFedAvg
11675.0509400.45480.6994830000GAUSSMNIST0FLANDERSFedAvg
22647.6366430.52110.7358450000GAUSSMNIST0FLANDERSFedAvg
33614.4347950.56950.761650010000GAUSSMNIST0FLANDERSFedAvg
44584.1685070.60690.781741020000GAUSSMNIST0FLANDERSFedAvg
..........................................
397346292.8117450.74960.8612950000AGR-MMMNIST20MultiKrumFedAvg
397447289.7818840.75920.8668850000AGR-MMMNIST20MultiKrumFedAvg
397548287.8744360.76080.8679520000AGR-MMMNIST20MultiKrumFedAvg
397649288.8327780.74960.8615780000AGR-MMMNIST20MultiKrumFedAvg
397750290.4446540.74350.8580720000AGR-MMMNIST20MultiKrumFedAvg
\n","

8007 rows × 13 columns

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\n"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 720.277098 0.1085 0.504867 0 0 0 0 GAUSS \n","1 1 675.050940 0.4548 0.699483 0 0 0 0 GAUSS \n","2 2 647.636643 0.5211 0.735845 0 0 0 0 GAUSS \n","3 3 614.434795 0.5695 0.761650 0 100 0 0 GAUSS \n","4 4 584.168507 0.6069 0.781741 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3973 46 292.811745 0.7496 0.861295 0 0 0 0 AGR-MM \n","3974 47 289.781884 0.7592 0.866885 0 0 0 0 AGR-MM \n","3975 48 287.874436 0.7608 0.867952 0 0 0 0 AGR-MM \n","3976 49 288.832778 0.7496 0.861578 0 0 0 0 AGR-MM \n","3977 50 290.444654 0.7435 0.858072 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 MNIST 0 FLANDERS FedAvg \n","1 MNIST 0 FLANDERS FedAvg \n","2 MNIST 0 FLANDERS FedAvg \n","3 MNIST 0 FLANDERS FedAvg \n","4 MNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3973 MNIST 20 MultiKrum FedAvg \n","3974 MNIST 20 MultiKrum FedAvg \n","3975 MNIST 20 MultiKrum FedAvg \n","3976 MNIST 20 MultiKrum FedAvg \n","3977 MNIST 20 MultiKrum FedAvg \n","\n","[8007 rows x 13 columns]"]},"execution_count":54,"metadata":{},"output_type":"execute_result"}],"source":["mnist_df"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1707480685917,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"Ub0W-iA69LpR","outputId":"bfbcaf9e-575c-4d02-e9f0-0be7e74accb4"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80 40]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'Bulyan' 'DnC' 'MultiKrum']\n"]}],"source":["print_unique_data(mnist_df)"]},{"cell_type":"markdown","metadata":{"id":"E3TZ_fJuTVuU"},"source":["## Fashion MNIST"]},{"cell_type":"markdown","metadata":{"id":"45GAIKG9Tmyb"},"source":["### Use this shortcut"]},{"cell_type":"code","execution_count":8,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":327,"status":"ok","timestamp":1716376732776,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"Qju5S7VmTpB_","outputId":"fbe0aed8-164c-4343-9949-e9fa7cc7f0a7"},"outputs":[{"data":{"text/html":["
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
0023082.3338130.06310.4795000000GAUSSFMNIST0FLANDERSFedAvg
1121920.1315610.19770.5542780000GAUSSFMNIST0FLANDERSFedAvg
2217859.0960200.42100.6783330000GAUSSFMNIST0FLANDERSFedAvg
3315559.0449260.49200.717778010000GAUSSFMNIST0FLANDERSFedAvg
4414684.1937220.50010.722278020000GAUSSFMNIST0FLANDERSFedAvg
..........................................
35654623279.5649070.10000.5000000000AGR-MMFMNIST80dncFedAvg
35664723290.9804420.10000.5000000000AGR-MMFMNIST80dncFedAvg
35674823302.2510220.10000.5000000000AGR-MMFMNIST80dncFedAvg
35684923312.5125960.10000.5000000000AGR-MMFMNIST80dncFedAvg
35695023326.1161770.10000.5000000000AGR-MMFMNIST80dncFedAvg
\n","

6884 rows × 13 columns

\n","
"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 23082.333813 0.0631 0.479500 0 0 0 0 GAUSS \n","1 1 21920.131561 0.1977 0.554278 0 0 0 0 GAUSS \n","2 2 17859.096020 0.4210 0.678333 0 0 0 0 GAUSS \n","3 3 15559.044926 0.4920 0.717778 0 100 0 0 GAUSS \n","4 4 14684.193722 0.5001 0.722278 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 23279.564907 0.1000 0.500000 0 0 0 0 AGR-MM \n","3566 47 23290.980442 0.1000 0.500000 0 0 0 0 AGR-MM \n","3567 48 23302.251022 0.1000 0.500000 0 0 0 0 AGR-MM \n","3568 49 23312.512596 0.1000 0.500000 0 0 0 0 AGR-MM \n","3569 50 23326.116177 0.1000 0.500000 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 FMNIST 0 FLANDERS FedAvg \n","1 FMNIST 0 FLANDERS FedAvg \n","2 FMNIST 0 FLANDERS FedAvg \n","3 FMNIST 0 FLANDERS FedAvg \n","4 FMNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 FMNIST 80 dnc FedAvg \n","3566 FMNIST 80 dnc FedAvg \n","3567 FMNIST 80 dnc FedAvg \n","3568 FMNIST 80 dnc FedAvg \n","3569 FMNIST 80 dnc FedAvg \n","\n","[6884 rows x 13 columns]"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["# CSV pre-processing FMNIST\n","results_flanders_file = results_dir + \"all_results_fmnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_fmnist_no_flanders.csv\"\n","results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)\n","results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","fmnist_df = pd.concat([results_flanders_df, results_no_flanders_df])\n","fmnist_df"]},{"cell_type":"code","execution_count":9,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1,"status":"ok","timestamp":1716047458204,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"08YXqMTZNpN6","outputId":"9de6cdc8-241e-4867-cd53-645434b99ce2"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['FMNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'dnc']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan']\n"]}],"source":["print_unique_data(fmnist_df)"]},{"cell_type":"markdown","metadata":{"id":"9vVX6wsxT-rc"},"source":["### Step-by-step processing"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"j0ZnLmVnUBT3"},"outputs":[],"source":["results_flanders_file = results_dir + \"all_results_fmnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_fmnist_no_flanders.csv\""]},{"cell_type":"code","execution_count":null,"metadata":{"id":"qsYaQiAWUBOw"},"outputs":[],"source":["results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":250,"status":"ok","timestamp":1709217712591,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"m1VKWq_jUHyY","outputId":"5bd5b442-4ab4-473d-bc60-b6f5fdc6320d"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['flanders']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate'\n"," 'flwr.server.strategy.aggregate.aggregate_trimmed_avg'\n"," 'flwr.server.strategy.aggregate.aggregate_median'\n"," 'flwr.server.strategy.aggregate.aggregate_krum'\n"," 'flwr.server.strategy.aggregate.aggregate_bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1709217720407,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"IxPT9D6DUJN3","outputId":"ded1f8b2-baf5-437b-abe3-25bad7a3c4ad"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['fedavg' 'trimmedmean' 'fedmedian' 'krum' 'bulyan' 'dnc']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"X8k98LNrUaLp"},"source":["Translate strings"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"zHNwpvZMUaLq"},"outputs":[],"source":["results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"9zMOOjCiUaLr"},"outputs":[],"source":["results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1709217802421,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"tygeoDz6UaLr","outputId":"2441a31a-ead0-4adf-8b95-73d75c6b3739"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['FLANDERS']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1709217803343,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"b8Xo1VseUaLr","outputId":"1fbb0a64-0695-4a89-eec1-e0a18ba54c40"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n","Unique values in aggregate_fn: ['FedAvg']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"zkmqmUTzUaLr"},"source":["Concatenate the 2 dataframes, namely FLANDERS+f and baselines:"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"m-wRVa9eUaLr"},"outputs":[],"source":["fmnist_df = pd.concat([results_flanders_df, results_no_flanders_df])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1709217813677,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"IhpjH5n1UaLs","outputId":"73f9a359-9f74-4e5e-b518-25af272b2207"},"outputs":[{"data":{"application/vnd.google.colaboratory.intrinsic+json":{"summary":"{\n \"name\": \"fmnist_df\",\n \"rows\": 7497,\n \"fields\": [\n {\n \"column\": \"round\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 14,\n \"min\": 0,\n \"max\": 50,\n \"num_unique_values\": 51,\n \"samples\": [\n 43,\n 40,\n 46\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"loss\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 5.098805154030721e+18,\n \"min\": 232.3792065680027,\n \"max\": 4.3645751884391645e+19,\n \"num_unique_values\": 7267,\n \"samples\": [\n 257.05002358555794,\n 303.2543874382973,\n 376.6231798529625\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"accuracy\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.2308533481360291,\n \"min\": 0.038,\n \"max\": 0.7626,\n \"num_unique_values\": 2608,\n \"samples\": [\n 0.3327,\n 0.4714,\n 0.5971\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"auc\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.12825186007557174,\n \"min\": 0.4655555555555556,\n \"max\": 0.8681111111111113,\n \"num_unique_values\": 3478,\n \"samples\": [\n 0.553,\n 0.8093333333333333,\n 0.7679999999999999\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"TP\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 944,\n \"min\": 0,\n \"max\": 3840,\n \"num_unique_values\": 292,\n \"samples\": [\n 1380,\n 165,\n 900\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"TN\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 943,\n \"min\": 0,\n \"max\": 4800,\n \"num_unique_values\": 439,\n \"samples\": [\n 195,\n 2960,\n 2584\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"FP\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 88,\n \"min\": 0,\n \"max\": 835,\n \"num_unique_values\": 259,\n \"samples\": [\n 333,\n 782,\n 156\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"FN\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 88,\n \"min\": 0,\n \"max\": 835,\n \"num_unique_values\": 259,\n \"samples\": [\n 333,\n 782,\n 156\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"attack_fn\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 4,\n \"samples\": [\n \"LIE\",\n \"AGR-MM\",\n \"GAUSS\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"dataset_name\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"fmnist\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"num_malicious\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 28,\n \"min\": 0,\n \"max\": 80,\n \"num_unique_values\": 4,\n \"samples\": [\n 20\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"strategy\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 7,\n \"samples\": [\n \"FLANDERS\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"aggregate_fn\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 6,\n \"samples\": [\n \"FedAvg\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}","type":"dataframe","variable_name":"fmnist_df"},"text/html":["\n","
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00722.5733350.09600.4977780000GAUSSfmnist0FLANDERSFedAvg
11679.1645870.22190.5677220000GAUSSfmnist0FLANDERSFedAvg
22559.4500050.45820.6990000000GAUSSfmnist0FLANDERSFedAvg
33473.0433670.53890.743833010000GAUSSfmnist0FLANDERSFedAvg
44438.4357100.56860.760333020000GAUSSfmnist0FLANDERSFedAvg
..........................................
356546729.7860360.10000.5000000000AGR-MMfmnist80DnCFedAvg
356647730.0917940.10000.5000000000AGR-MMfmnist80DnCFedAvg
356748730.4244920.10000.5000000000AGR-MMfmnist80DnCFedAvg
356849730.7109820.10000.5000000000AGR-MMfmnist80DnCFedAvg
356950731.0777110.10000.5000000000AGR-MMfmnist80DnCFedAvg
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7497 rows × 13 columns

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\n"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 722.573335 0.0960 0.497778 0 0 0 0 GAUSS \n","1 1 679.164587 0.2219 0.567722 0 0 0 0 GAUSS \n","2 2 559.450005 0.4582 0.699000 0 0 0 0 GAUSS \n","3 3 473.043367 0.5389 0.743833 0 100 0 0 GAUSS \n","4 4 438.435710 0.5686 0.760333 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 729.786036 0.1000 0.500000 0 0 0 0 AGR-MM \n","3566 47 730.091794 0.1000 0.500000 0 0 0 0 AGR-MM \n","3567 48 730.424492 0.1000 0.500000 0 0 0 0 AGR-MM \n","3568 49 730.710982 0.1000 0.500000 0 0 0 0 AGR-MM \n","3569 50 731.077711 0.1000 0.500000 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 fmnist 0 FLANDERS FedAvg \n","1 fmnist 0 FLANDERS FedAvg \n","2 fmnist 0 FLANDERS FedAvg \n","3 fmnist 0 FLANDERS FedAvg \n","4 fmnist 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 fmnist 80 DnC FedAvg \n","3566 fmnist 80 DnC FedAvg \n","3567 fmnist 80 DnC FedAvg \n","3568 fmnist 80 DnC FedAvg \n","3569 fmnist 80 DnC FedAvg \n","\n","[7497 rows x 13 columns]"]},"execution_count":20,"metadata":{},"output_type":"execute_result"}],"source":["fmnist_df"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6,"status":"ok","timestamp":1709217818750,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"XYwnEFa2UaLs","outputId":"44dcb4de-f892-4555-b5d8-8cfcacd37137"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n"]}],"source":["print_unique_data(fmnist_df)"]},{"cell_type":"code","execution_count":20,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":249,"status":"ok","timestamp":1716376734931,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"VY5G4tF1yVHN","outputId":"cf11f084-16b5-45b2-e1ae-6d9455909720"},"outputs":[{"ename":"FileNotFoundError","evalue":"[Errno 2] No such file or directory: '../outputs/all_results_cifar_flanders.csv'","output_type":"error","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)","Cell \u001b[0;32mIn[20], line 4\u001b[0m\n\u001b[1;32m 2\u001b[0m results_flanders_file \u001b[38;5;241m=\u001b[39m results_dir \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mall_results_cifar_flanders.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 3\u001b[0m results_no_flanders_file \u001b[38;5;241m=\u001b[39m results_dir \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mall_results_cifar_no_flanders.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m----> 4\u001b[0m results_flanders_df \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_csv\u001b[49m\u001b[43m(\u001b[49m\u001b[43mresults_flanders_file\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 5\u001b[0m results_no_flanders_df \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mread_csv(results_no_flanders_file)\n\u001b[1;32m 6\u001b[0m results_flanders_df \u001b[38;5;241m=\u001b[39m translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:948\u001b[0m, in \u001b[0;36mread_csv\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend)\u001b[0m\n\u001b[1;32m 935\u001b[0m kwds_defaults \u001b[38;5;241m=\u001b[39m _refine_defaults_read(\n\u001b[1;32m 936\u001b[0m dialect,\n\u001b[1;32m 937\u001b[0m delimiter,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 944\u001b[0m dtype_backend\u001b[38;5;241m=\u001b[39mdtype_backend,\n\u001b[1;32m 945\u001b[0m )\n\u001b[1;32m 946\u001b[0m kwds\u001b[38;5;241m.\u001b[39mupdate(kwds_defaults)\n\u001b[0;32m--> 948\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_read\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:611\u001b[0m, in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m 608\u001b[0m _validate_names(kwds\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnames\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m))\n\u001b[1;32m 610\u001b[0m \u001b[38;5;66;03m# Create the parser.\u001b[39;00m\n\u001b[0;32m--> 611\u001b[0m parser \u001b[38;5;241m=\u001b[39m \u001b[43mTextFileReader\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 613\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m chunksize \u001b[38;5;129;01mor\u001b[39;00m iterator:\n\u001b[1;32m 614\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m parser\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:1448\u001b[0m, in \u001b[0;36mTextFileReader.__init__\u001b[0;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[1;32m 1445\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m kwds[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[1;32m 1447\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles: IOHandles \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m-> 1448\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_engine \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_make_engine\u001b[49m\u001b[43m(\u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mengine\u001b[49m\u001b[43m)\u001b[49m\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/parsers/readers.py:1705\u001b[0m, in \u001b[0;36mTextFileReader._make_engine\u001b[0;34m(self, f, engine)\u001b[0m\n\u001b[1;32m 1703\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m mode:\n\u001b[1;32m 1704\u001b[0m mode \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m-> 1705\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;241m=\u001b[39m \u001b[43mget_handle\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1706\u001b[0m \u001b[43m \u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1707\u001b[0m \u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1708\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1709\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompression\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcompression\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1710\u001b[0m \u001b[43m \u001b[49m\u001b[43mmemory_map\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmemory_map\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1711\u001b[0m \u001b[43m \u001b[49m\u001b[43mis_text\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mis_text\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1712\u001b[0m \u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding_errors\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstrict\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1713\u001b[0m \u001b[43m \u001b[49m\u001b[43mstorage_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstorage_options\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1714\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1715\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 1716\u001b[0m f \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles\u001b[38;5;241m.\u001b[39mhandle\n","File \u001b[0;32m~/miniconda3/envs/flower/lib/python3.9/site-packages/pandas/io/common.py:863\u001b[0m, in \u001b[0;36mget_handle\u001b[0;34m(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)\u001b[0m\n\u001b[1;32m 858\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(handle, \u001b[38;5;28mstr\u001b[39m):\n\u001b[1;32m 859\u001b[0m \u001b[38;5;66;03m# Check whether the filename is to be opened in binary mode.\u001b[39;00m\n\u001b[1;32m 860\u001b[0m \u001b[38;5;66;03m# Binary mode does not support 'encoding' and 'newline'.\u001b[39;00m\n\u001b[1;32m 861\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mencoding \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mmode:\n\u001b[1;32m 862\u001b[0m \u001b[38;5;66;03m# Encoding\u001b[39;00m\n\u001b[0;32m--> 863\u001b[0m handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\n\u001b[1;32m 864\u001b[0m \u001b[43m \u001b[49m\u001b[43mhandle\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 865\u001b[0m \u001b[43m \u001b[49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 866\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 867\u001b[0m \u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 868\u001b[0m \u001b[43m \u001b[49m\u001b[43mnewline\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 869\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 870\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 871\u001b[0m \u001b[38;5;66;03m# Binary mode\u001b[39;00m\n\u001b[1;32m 872\u001b[0m handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mopen\u001b[39m(handle, ioargs\u001b[38;5;241m.\u001b[39mmode)\n","\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '../outputs/all_results_cifar_flanders.csv'"]}],"source":["# CSV pre-processing CIFAR-10\n","results_flanders_file = results_dir + \"all_results_cifar_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_cifar_no_flanders.csv\"\n","results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)\n","results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","cifar_df = pd.concat([results_flanders_df, results_no_flanders_df])\n","cifar_df"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1716047460925,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"y7wfUI0eyeEp","outputId":"48c324d7-5816-406e-dd8a-284172967e90"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80 40]\n","Unique values in dataset_name: ['CIFAR-10']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'DnC' 'MultiKrum' 'Bulyan'\n"," 'FLDetector']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'DnC']\n"]}],"source":["print_unique_data(cifar_df)"]},{"cell_type":"markdown","metadata":{"id":"1TUxrAF6w6cY"},"source":["## Unify datasets"]},{"cell_type":"code","execution_count":9,"metadata":{"id":"R2wOP2Eex7X2"},"outputs":[],"source":["all_datasets_df = pd.concat([mnist_df, fmnist_df])"]},{"cell_type":"code","execution_count":10,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":428,"status":"ok","timestamp":1716376740426,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"jwDN17ygyFK7","outputId":"c3db739f-98b7-4070-f826-4344553e9ab7"},"outputs":[{"data":{"text/html":["
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00720.8331210.10450.5034220000GAUSSMNIST0FLANDERSFedAvg
11664.5222520.20890.5631160000GAUSSMNIST0FLANDERSFedAvg
22624.6338260.35600.6447310000GAUSSMNIST0FLANDERSFedAvg
33581.4764720.47730.710941010000GAUSSMNIST0FLANDERSFedAvg
44545.1142050.54300.746970020000GAUSSMNIST0FLANDERSFedAvg
..........................................
35654623279.5649070.10000.5000000000AGR-MMFMNIST80dncFedAvg
35664723290.9804420.10000.5000000000AGR-MMFMNIST80dncFedAvg
35674823302.2510220.10000.5000000000AGR-MMFMNIST80dncFedAvg
35684923312.5125960.10000.5000000000AGR-MMFMNIST80dncFedAvg
35695023326.1161770.10000.5000000000AGR-MMFMNIST80dncFedAvg
\n","

14432 rows × 13 columns

\n","
"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 720.833121 0.1045 0.503422 0 0 0 0 GAUSS \n","1 1 664.522252 0.2089 0.563116 0 0 0 0 GAUSS \n","2 2 624.633826 0.3560 0.644731 0 0 0 0 GAUSS \n","3 3 581.476472 0.4773 0.710941 0 100 0 0 GAUSS \n","4 4 545.114205 0.5430 0.746970 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 23279.564907 0.1000 0.500000 0 0 0 0 AGR-MM \n","3566 47 23290.980442 0.1000 0.500000 0 0 0 0 AGR-MM \n","3567 48 23302.251022 0.1000 0.500000 0 0 0 0 AGR-MM \n","3568 49 23312.512596 0.1000 0.500000 0 0 0 0 AGR-MM \n","3569 50 23326.116177 0.1000 0.500000 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 MNIST 0 FLANDERS FedAvg \n","1 MNIST 0 FLANDERS FedAvg \n","2 MNIST 0 FLANDERS FedAvg \n","3 MNIST 0 FLANDERS FedAvg \n","4 MNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 FMNIST 80 dnc FedAvg \n","3566 FMNIST 80 dnc FedAvg \n","3567 FMNIST 80 dnc FedAvg \n","3568 FMNIST 80 dnc FedAvg \n","3569 FMNIST 80 dnc FedAvg \n","\n","[14432 rows x 13 columns]"]},"execution_count":10,"metadata":{},"output_type":"execute_result"}],"source":["all_datasets_df"]},{"cell_type":"code","execution_count":11,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2,"status":"ok","timestamp":1716376741411,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"VWrdDPtPyHHA","outputId":"1ef8b853-63f8-4eac-a785-578684dbf0a6"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['MNIST' 'FMNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'dnc']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc']\n"]}],"source":["print_unique_data(all_datasets_df)"]},{"cell_type":"markdown","metadata":{"id":"OlES57TEn2Ng"},"source":["# Tables\n"]},{"cell_type":"markdown","metadata":{"id":"hcHkTXfGbapg"},"source":["## Accuracy"]},{"cell_type":"markdown","metadata":{"id":"7F1YDs12sZbE"},"source":["### Best with improvment w.r.t. baseline"]},{"cell_type":"code","execution_count":26,"metadata":{"id":"GuQM8bzXnIGx"},"outputs":[],"source":["def accuracy_table(input_df, b):\n"," # Define strategies and attacks\n"," strategies = ['FedAvg', 'FLANDERS + FedAvg', 'FedMedian', 'FLANDERS + FedMedian', 'TrimmedMean', 'FLANDERS + TrimmedMean', 'MultiKrum', 'FLANDERS + MultiKrum', 'Bulyan', 'FLANDERS + Bulyan']\n"," attacks = ['GAUSS', 'LIE', 'OPT', 'AGR-MM']\n"," dataset_names = [\"MNIST\", \"FMNIST\"]\n","\n"," # Create MultiIndex for the columns\n"," columns = pd.MultiIndex.from_product([dataset_names, attacks], names=['Dataset', 'Attack'])\n","\n"," # Create an empty DataFrame with the defined columns and strategies\n"," df = pd.DataFrame(index=strategies, columns=columns)\n","\n"," filtered_df = input_df[(input_df['num_malicious'] == b) & (input_df['round'] >= 3)]\n"," baseline_df = filtered_df[filtered_df['strategy'] != 'FLANDERS']\n"," flanders_df = filtered_df[filtered_df['strategy'] == 'FLANDERS']\n","\n"," # Populate the DataFrame\n"," for strategy in ['FedAvg', 'TrimmedMean', 'FedMedian', 'MultiKrum', 'Bulyan']:\n"," for dataset in dataset_names:\n"," for attack in attacks:\n"," df.loc[strategy, (dataset, attack)] = round(baseline_df[(baseline_df['strategy']==strategy) & (baseline_df['attack_fn']==attack) & (baseline_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n"," df.loc[f\"FLANDERS + {strategy}\", (dataset, attack)] = round(flanders_df[(flanders_df['aggregate_fn']==strategy) & (flanders_df['attack_fn']==attack) & (flanders_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n","\n"," return df\n"]},{"cell_type":"code","execution_count":34,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":457},"executionInfo":{"elapsed":1243,"status":"ok","timestamp":1715943873268,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"PruXJg2vA87b","outputId":"98d83851-626b-4877-fd09-8f2f01200c65"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSGAUSS
FedAvg0.860.68
FLANDERS + FedAvg0.840.64
FedMedian0.830.71
FLANDERS + FedMedian0.760.73
TrimmedMean0.850.69
FLANDERS + TrimmedMean0.780.7
MultiKrum0.680.66
FLANDERS + MultiKrum0.740.73
Bulyan0.860.62
FLANDERS + Bulyan0.870.65
\n","
"],"text/plain":["Dataset MNIST FMNIST\n","Attack GAUSS GAUSS\n","FedAvg 0.86 0.68\n","FLANDERS + FedAvg 0.84 0.64\n","FedMedian 0.83 0.71\n","FLANDERS + FedMedian 0.76 0.73\n","TrimmedMean 0.85 0.69\n","FLANDERS + TrimmedMean 0.78 0.7\n","MultiKrum 0.68 0.66\n","FLANDERS + MultiKrum 0.74 0.73\n","Bulyan 0.86 0.62\n","FLANDERS + Bulyan 0.87 0.65"]},"execution_count":34,"metadata":{},"output_type":"execute_result"}],"source":["# Table 19\n","acc_0 = accuracy_table(all_datasets_df, 0).dropna(axis=1, how='all')\n","acc_0"]},{"cell_type":"code","execution_count":31,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":457},"executionInfo":{"elapsed":858,"status":"ok","timestamp":1715944158330,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"8bV7hABWbyMS","outputId":"6d24f87d-da15-40b2-8880-3b6dcefda1fd"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSLIEOPTAGR-MMGAUSSLIEOPTAGR-MM
FedAvg0.20.170.670.450.250.170.570.11
FLANDERS + FedAvg0.880.870.480.880.660.670.570.64
FedMedian0.80.660.790.590.660.650.670.6
FLANDERS + FedMedian0.850.850.660.830.710.690.630.73
TrimmedMean0.860.520.730.610.690.540.620.58
FLANDERS + TrimmedMean0.810.850.780.830.690.70.630.73
MultiKrum0.780.770.810.820.740.650.70.67
FLANDERS + MultiKrum0.820.860.840.820.730.70.730.71
Bulyan0.820.840.840.830.710.720.690.76
FLANDERS + Bulyan0.90.840.790.850.650.650.660.65
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","Attack GAUSS LIE OPT AGR-MM GAUSS LIE OPT AGR-MM\n","FedAvg 0.2 0.17 0.67 0.45 0.25 0.17 0.57 0.11\n","FLANDERS + FedAvg 0.88 0.87 0.48 0.88 0.66 0.67 0.57 0.64\n","FedMedian 0.8 0.66 0.79 0.59 0.66 0.65 0.67 0.6\n","FLANDERS + FedMedian 0.85 0.85 0.66 0.83 0.71 0.69 0.63 0.73\n","TrimmedMean 0.86 0.52 0.73 0.61 0.69 0.54 0.62 0.58\n","FLANDERS + TrimmedMean 0.81 0.85 0.78 0.83 0.69 0.7 0.63 0.73\n","MultiKrum 0.78 0.77 0.81 0.82 0.74 0.65 0.7 0.67\n","FLANDERS + MultiKrum 0.82 0.86 0.84 0.82 0.73 0.7 0.73 0.71\n","Bulyan 0.82 0.84 0.84 0.83 0.71 0.72 0.69 0.76\n","FLANDERS + Bulyan 0.9 0.84 0.79 0.85 0.65 0.65 0.66 0.65"]},"execution_count":31,"metadata":{},"output_type":"execute_result"}],"source":["# Table 15\n","acc_20 = accuracy_table(all_datasets_df, 20)\n","acc_20"]},{"cell_type":"markdown","metadata":{},"source":["Bulyan is NaN because it cannot work when the number of malicious clients is > 25%"]},{"cell_type":"code","execution_count":16,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1126,"status":"ok","timestamp":1716115710006,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"xSvgEwLoPmh3","outputId":"1c65e66e-7374-46f0-a2a5-0964bc40e49a"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSLIEOPTAGR-MMGAUSSLIEOPTAGR-MM
FedAvg0.190.150.20.160.280.10.190.1
FLANDERS + FedAvg0.760.880.850.850.690.670.710.67
FedMedian0.80.190.160.290.650.10.10.1
FLANDERS + FedMedian0.80.860.830.860.710.690.710.71
TrimmedMean0.250.20.330.10.330.10.170.1
FLANDERS + TrimmedMean0.780.870.840.830.70.710.730.74
MultiKrum0.790.140.220.150.710.10.120.1
FLANDERS + MultiKrum0.880.880.860.780.720.710.730.69
BulyanNaNNaNNaNNaNNaNNaNNaNNaN
FLANDERS + Bulyan0.890.870.90.850.680.640.60.69
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","Attack GAUSS LIE OPT AGR-MM GAUSS LIE OPT AGR-MM\n","FedAvg 0.19 0.15 0.2 0.16 0.28 0.1 0.19 0.1\n","FLANDERS + FedAvg 0.76 0.88 0.85 0.85 0.69 0.67 0.71 0.67\n","FedMedian 0.8 0.19 0.16 0.29 0.65 0.1 0.1 0.1\n","FLANDERS + FedMedian 0.8 0.86 0.83 0.86 0.71 0.69 0.71 0.71\n","TrimmedMean 0.25 0.2 0.33 0.1 0.33 0.1 0.17 0.1\n","FLANDERS + TrimmedMean 0.78 0.87 0.84 0.83 0.7 0.71 0.73 0.74\n","MultiKrum 0.79 0.14 0.22 0.15 0.71 0.1 0.12 0.1\n","FLANDERS + MultiKrum 0.88 0.88 0.86 0.78 0.72 0.71 0.73 0.69\n","Bulyan NaN NaN NaN NaN NaN NaN NaN NaN\n","FLANDERS + Bulyan 0.89 0.87 0.9 0.85 0.68 0.64 0.6 0.69"]},"execution_count":16,"metadata":{},"output_type":"execute_result"}],"source":["# Table 17\n","acc_60 = accuracy_table(all_datasets_df, 60)\n","acc_60"]},{"cell_type":"code","execution_count":17,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1188,"status":"ok","timestamp":1716050662469,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"dM_AMm_jcCye","outputId":"90533ef1-500f-40a3-f565-2c2ca1d68aaa"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSLIEOPTAGR-MMGAUSSLIEOPTAGR-MM
FedAvg0.210.160.310.130.240.10.180.1
FLANDERS + FedAvg0.850.860.880.850.690.70.690.66
FedMedian0.340.170.140.090.30.10.140.1
FLANDERS + FedMedian0.870.840.80.80.730.740.720.72
TrimmedMean0.170.150.210.140.210.10.120.1
FLANDERS + TrimmedMean0.810.850.810.820.740.730.70.69
MultiKrum0.820.210.320.110.720.10.150.1
FLANDERS + MultiKrum0.870.830.870.850.680.730.720.7
BulyanNaNNaNNaNNaNNaNNaNNaNNaN
FLANDERS + Bulyan0.840.840.830.80.690.720.690.68
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","Attack GAUSS LIE OPT AGR-MM GAUSS LIE OPT AGR-MM\n","FedAvg 0.21 0.16 0.31 0.13 0.24 0.1 0.18 0.1\n","FLANDERS + FedAvg 0.85 0.86 0.88 0.85 0.69 0.7 0.69 0.66\n","FedMedian 0.34 0.17 0.14 0.09 0.3 0.1 0.14 0.1\n","FLANDERS + FedMedian 0.87 0.84 0.8 0.8 0.73 0.74 0.72 0.72\n","TrimmedMean 0.17 0.15 0.21 0.14 0.21 0.1 0.12 0.1\n","FLANDERS + TrimmedMean 0.81 0.85 0.81 0.82 0.74 0.73 0.7 0.69\n","MultiKrum 0.82 0.21 0.32 0.11 0.72 0.1 0.15 0.1\n","FLANDERS + MultiKrum 0.87 0.83 0.87 0.85 0.68 0.73 0.72 0.7\n","Bulyan NaN NaN NaN NaN NaN NaN NaN NaN\n","FLANDERS + Bulyan 0.84 0.84 0.83 0.8 0.69 0.72 0.69 0.68"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["# Table 3\n","acc_80 = accuracy_table(all_datasets_df, 80)\n","acc_80"]},{"cell_type":"markdown","metadata":{"id":"CZX8c37MsgFL"},"source":["### Best w.r.t. number of attackers"]},{"cell_type":"code","execution_count":18,"metadata":{"id":"xgIKM1obsmd2"},"outputs":[],"source":["def accuracy_table_attackers(input_df, aggregate_fn):\n"," # Define strategies and attacks\n"," attacks = ['GAUSS', 'LIE', 'OPT', 'AGR-MM']\n"," dataset_names = [\"MNIST\", \"FMNIST\"]\n"," num_malicious = [0, 20, 60, 80]\n","\n"," # Create MultiIndex for the columns\n"," columns = pd.MultiIndex.from_product([dataset_names, num_malicious], names=['Dataset', '# Malicious'])\n","\n"," #######\n"," #columns = pd.MultiIndex.from_product([['MNIST', 'CIFAR-10'], ['GAUSS', 'LIE', 'OPT', 'AGR-MM'], ['LAST', 'BEST']])\n"," #######\n","\n","\n"," # Create an empty DataFrame with the defined columns and strategies\n"," df = pd.DataFrame(index=attacks, columns=columns)\n","\n"," filtered_df = input_df[(input_df['aggregate_fn'] == aggregate_fn) & (input_df['round'] >= 3)]\n"," baseline_df = filtered_df[filtered_df['strategy'] != 'FLANDERS']\n"," flanders_df = filtered_df[filtered_df['strategy'] == 'FLANDERS']\n","\n"," # Populate the DataFrame\n"," for dataset in dataset_names:\n"," for attack in attacks:\n"," for b in num_malicious:\n"," if b == 0:\n"," df.loc[attack, (dataset, b)] = round(flanders_df[(flanders_df['num_malicious']==b) & (flanders_df['attack_fn']=='GAUSS') & (flanders_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n"," else:\n"," df.loc[attack, (dataset, b)] = round(flanders_df[(flanders_df['num_malicious']==b) & (flanders_df['attack_fn']==attack) & (flanders_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n","\n"," return df"]},{"cell_type":"code","execution_count":19,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"executionInfo":{"elapsed":305,"status":"ok","timestamp":1715954054792,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"0n9vhQiQuxk_","outputId":"500dfb31-f525-4289-f337-2c945bf50cd2"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
# Malicious02060800206080
GAUSS0.740.820.880.870.730.730.720.68
LIE0.740.860.880.830.730.70.710.73
OPT0.740.840.860.870.730.730.730.72
AGR-MM0.740.820.780.850.730.710.690.7
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"],"text/plain":["Dataset MNIST FMNIST \n","# Malicious 0 20 60 80 0 20 60 80\n","GAUSS 0.74 0.82 0.88 0.87 0.73 0.73 0.72 0.68\n","LIE 0.74 0.86 0.88 0.83 0.73 0.7 0.71 0.73\n","OPT 0.74 0.84 0.86 0.87 0.73 0.73 0.73 0.72\n","AGR-MM 0.74 0.82 0.78 0.85 0.73 0.71 0.69 0.7"]},"execution_count":19,"metadata":{},"output_type":"execute_result"}],"source":["# Table 20\n","acc_att = accuracy_table_attackers(all_datasets_df, 'MultiKrum')\n","acc_att"]},{"cell_type":"markdown","metadata":{"id":"g6yDorrubUw1"},"source":["## Precision and Recall"]},{"cell_type":"code","execution_count":20,"metadata":{"id":"y0PlDlG0bKek"},"outputs":[],"source":["def pr_table(input_df, b):\n"," strategies = ['FLANDERS']\n"," attacks = ['GAUSS', 'LIE', 'OPT', 'AGR-MM']\n"," dataset_names = [\"MNIST\", \"FMNIST\"]\n","\n"," # Create MultiIndex for the columns\n"," columns = pd.MultiIndex.from_product([strategies, attacks, ['P', 'R']], names=['Strategy', 'Attack', 'P/R'])\n","\n"," # Create an empty DataFrame with the defined columns and strategies\n"," df = pd.DataFrame(index=dataset_names, columns=columns)\n","\n"," filtered_df = input_df[(input_df['num_malicious'] == b) & (input_df['round'] == 50) & (input_df['aggregate_fn']=='FedAvg')]\n"," flanders_df = filtered_df[filtered_df['strategy'] == 'FLANDERS']\n"," strat_dfs = [flanders_df]\n","\n"," # Populate the DataFrame\n"," for dataset in dataset_names:\n"," for attack in attacks:\n"," for idx, strategy in enumerate(strategies):\n"," tp = strat_dfs[idx][(strat_dfs[idx]['attack_fn']==attack) & (strat_dfs[idx]['dataset_name']==dataset)]['TP'].iloc[0]\n"," fp = strat_dfs[idx][(strat_dfs[idx]['attack_fn']==attack) & (strat_dfs[idx]['dataset_name']==dataset)]['FP'].iloc[0]\n"," fn = strat_dfs[idx][(strat_dfs[idx]['attack_fn']==attack) & (strat_dfs[idx]['dataset_name']==dataset)]['FN'].iloc[0]\n"," df.loc[dataset, (strategy, attack, 'P')] = round(tp / (tp+fp), 2)\n"," df.loc[dataset, (strategy, attack, 'R')] = round(tp / (tp+fn), 2)\n","\n"," return df"]},{"cell_type":"code","execution_count":21,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":257},"executionInfo":{"elapsed":248,"status":"ok","timestamp":1716367268457,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"rpQyziNRh3dn","outputId":"26e2c0f9-144d-4cad-d13f-1e2351aa2081"},"outputs":[{"data":{"text/html":["
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StrategyFLANDERS
AttackGAUSSLIEOPTAGR-MM
P/RPRPRPRPR
MNIST1.01.01.01.00.150.151.01.0
FMNIST1.01.01.01.00.160.161.01.0
\n","
"],"text/plain":["Strategy FLANDERS \n","Attack GAUSS LIE OPT AGR-MM \n","P/R P R P R P R P R\n","MNIST 1.0 1.0 1.0 1.0 0.15 0.15 1.0 1.0\n","FMNIST 1.0 1.0 1.0 1.0 0.16 0.16 1.0 1.0"]},"execution_count":21,"metadata":{},"output_type":"execute_result"}],"source":["# Table 1\n","pr_20 = pr_table(all_datasets_df, 20)\n","pr_20"]},{"cell_type":"code","execution_count":22,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":257},"executionInfo":{"elapsed":327,"status":"ok","timestamp":1716367273542,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"ccW0Ups3iMvZ","outputId":"ba945e17-1bbe-414f-9aa0-b03fb0fe107f"},"outputs":[{"data":{"text/html":["
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StrategyFLANDERS
AttackGAUSSLIEOPTAGR-MM
P/RPRPRPRPR
MNIST1.01.01.01.01.01.01.01.0
FMNIST1.01.01.01.01.01.01.01.0
\n","
"],"text/plain":["Strategy FLANDERS \n","Attack GAUSS LIE OPT AGR-MM \n","P/R P R P R P R P R\n","MNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0\n","FMNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0"]},"execution_count":22,"metadata":{},"output_type":"execute_result"}],"source":["# Table 2\n","pr_60 = pr_table(all_datasets_df, 60)\n","pr_60"]},{"cell_type":"code","execution_count":23,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":257},"executionInfo":{"elapsed":308,"status":"ok","timestamp":1716376750779,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"05a0Gv5piS2v","outputId":"0cf6555a-4cc8-4aa5-f9b6-c8286afa130a"},"outputs":[{"data":{"text/html":["
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StrategyFLANDERS
AttackGAUSSLIEOPTAGR-MM
P/RPRPRPRPR
MNIST1.01.01.01.01.01.01.01.0
FMNIST1.01.01.01.01.01.01.01.0
\n","
"],"text/plain":["Strategy FLANDERS \n","Attack GAUSS LIE OPT AGR-MM \n","P/R P R P R P R P R\n","MNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0\n","FMNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0"]},"execution_count":23,"metadata":{},"output_type":"execute_result"}],"source":["# Table 3\n","pr_80 = pr_table(all_datasets_df, 80)\n","pr_80"]},{"cell_type":"markdown","metadata":{"id":"bN7dTn2u0r6K"},"source":["# Plots"]},{"cell_type":"markdown","metadata":{"id":"xZ0wiadBsVUh"},"source":["## Accuracy over rounds"]},{"cell_type":"code","execution_count":24,"metadata":{"id":"LQ_uYJCtjdJS"},"outputs":[],"source":["df_mnist_acc_flanders = all_datasets_df[(all_datasets_df['strategy']=='FLANDERS') & (all_datasets_df['num_malicious']==80) & (all_datasets_df['dataset_name']=='MNIST') & (all_datasets_df['aggregate_fn']=='MultiKrum')]\n","df_mnist_acc_fedavg = all_datasets_df[(all_datasets_df['strategy']=='FedAvg') & (all_datasets_df['num_malicious']==80) & (all_datasets_df['dataset_name']=='MNIST')]\n","df_no_attack = all_datasets_df[(all_datasets_df['strategy']=='FedAvg') & (all_datasets_df['num_malicious']==0) & (all_datasets_df['dataset_name']=='MNIST')]"]},{"cell_type":"code","execution_count":25,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":408},"executionInfo":{"elapsed":651,"status":"ok","timestamp":1714668544212,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"NDkD_Qnd1iT7","outputId":"928cfa90-04a2-4624-9825-adb0d124aaf8"},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["# Figure 3\n","num_plots = 2\n","plt.style.use('default')\n","fig, axs = plt.subplots(1, num_plots, figsize=(11, 4))\n","\n","data = [df_mnist_acc_flanders, df_mnist_acc_fedavg]\n","\n","for i in range(num_plots):\n"," if i == 0:\n"," acc = df_no_attack[df_no_attack[\"attack_fn\"]=='GAUSS']['accuracy'].to_list()\n"," axs[i].plot(acc, label=\"No Attack\", linestyle='--', color='slategray')\n"," for attack in ['GAUSS', 'LIE', 'OPT', 'AGR-MM']:\n"," acc = data[i][data[i]['attack_fn']==attack]['accuracy'].to_list()\n"," x = [i for i in range(len(data))]\n"," axs[i].plot(acc, label=attack)\n"," axs[i].set_ylim((0,1.0))\n"," axs[i].set_xlabel('Round', fontsize=16)\n"," axs[i].set_ylabel('Accuracy', fontsize=16)\n"," axs[i].legend(prop={'size': 12})\n"," axs[i].tick_params(axis='both', which='major', labelsize=16)\n"," axs[i].tick_params(axis='both', which='minor', labelsize=16)\n","\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":[]}],"metadata":{"colab":{"authorship_tag":"ABX9TyODCHCYl18UhHkKwq6LlRvG","collapsed_sections":["P_3Z05w0wvNB","dE_uqUeuyl6M","9vVX6wsxT-rc","RctMDJMZyPq2","R9VNz7Cv9RHn","6V4padUiYeac","pZ863s6JJbph","EJDtdXqLJX0H"],"provenance":[]},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.9.18"}},"nbformat":4,"nbformat_minor":0} +{"cells":[{"cell_type":"markdown","metadata":{"id":"Cg37xeuu7Xy5"},"source":["# Preliminaries"]},{"cell_type":"code","execution_count":92,"metadata":{"id":"J_Dh3sGVyb2w"},"outputs":[],"source":["import pandas as pd\n","from natsort import natsorted\n","import matplotlib.pyplot as plt"]},{"cell_type":"code","execution_count":93,"metadata":{"id":"FjlCyr_B8OdT"},"outputs":[],"source":["results_dir = \"../outputs/\""]},{"cell_type":"markdown","metadata":{"id":"VX2oCpZf7Z7y"},"source":["# Prepare data"]},{"cell_type":"markdown","metadata":{"id":"P_3Z05w0wvNB"},"source":["## Utils"]},{"cell_type":"code","execution_count":94,"metadata":{},"outputs":[],"source":["def divide_results_by_dataset(results_dir, file=\"all_results.csv\"):\n"," \"\"\"Divide csv results into multiple files distinguished by dataset and if strategy is FLANDERS or not (e.g., all_results_mnist_flanders and all_results_mnist_no_flanders).\"\"\"\n"," results = pd.read_csv(results_dir + file, float_precision='round_trip')\n"," datasets = natsorted(results[\"dataset_name\"].unique())\n"," for dataset in datasets:\n"," flanders = results[(results[\"dataset_name\"] == dataset) & (results[\"strategy\"] == \"flanders\")]\n"," no_flanders = results[(results[\"dataset_name\"] == dataset) & (results[\"strategy\"] != \"flanders\")]\n"," flanders.to_csv(results_dir + \"all_results_\" + dataset + \"_flanders.csv\", index=False)\n"," no_flanders.to_csv(results_dir + \"all_results_\" + dataset + \"_no_flanders.csv\", index=False)\n"," "]},{"cell_type":"code","execution_count":95,"metadata":{"id":"fZSDCuT497HV"},"outputs":[],"source":["def print_unique_data(results_df):\n"," for col in [\"attack_fn\", \"num_malicious\", \"dataset_name\", \"strategy\", \"aggregate_fn\"]:\n"," print(f\"Unique values in {col}: {results_df[col].unique()}\")"]},{"cell_type":"code","execution_count":96,"metadata":{"id":"8GcIZNuu8q5Y"},"outputs":[],"source":["def translate_cols(df, attack_dict, dataset_dict, strategy_dict, aggregate_dict):\n"," column_names = [\"attack_fn\", \"dataset_name\", \"strategy\", \"aggregate_fn\"]\n"," for idx, d in enumerate([attack_dict, dataset_dict, strategy_dict, aggregate_dict]):\n"," df[column_names[idx]] = df[column_names[idx]].replace(d)\n"," return df"]},{"cell_type":"code","execution_count":97,"metadata":{"id":"oHcF2pl8sdOG"},"outputs":[],"source":["attack_dict = {\n"," \"gaussian\": \"GAUSS\",\n"," \"lie\": \"LIE\",\n"," \"fang\": \"OPT\",\n"," \"minmax\": \"AGR-MM\",\n"," \"adaptive\": \"MAR-ATK\"\n","}\n","\n","dataset_dict = {\n"," \"mnist\": \"MNIST\",\n"," \"fmnist\": \"FMNIST\",\n"," \"cifar\": \"CIFAR-10\",\n"," \"cifar100\": \"CIFAR-100\"\n","}\n","\n","strategy_dict = {\n"," \"flanders\": \"FLANDERS\",\n"," \"fedavg\": \"FedAvg\",\n"," \"fedmedian\": \"FedMedian\",\n"," \"trimmedmean\": \"TrimmedMean\",\n"," \"bulyan\": \"Bulyan\",\n"," \"krum\": \"MultiKrum\",\n"," \"fldetector\": \"FLDetector\"\n","}\n","\n","aggregate_dict = {\n"," \"flwr.server.strategy.aggregate.aggregate\": \"FedAvg\",\n"," \"flwr.server.strategy.aggregate.aggregate_median\": \"FedMedian\",\n"," \"flwr.server.strategy.aggregate.aggregate_trimmed_avg\": \"TrimmedMean\",\n"," \"flwr.server.strategy.aggregate.aggregate_bulyan\": \"Bulyan\",\n"," \"flwr.server.strategy.aggregate.aggregate_krum\": \"MultiKrum\"\n","}"]},{"cell_type":"code","execution_count":98,"metadata":{},"outputs":[],"source":["divide_results_by_dataset(results_dir)"]},{"cell_type":"markdown","metadata":{"id":"y0XCCkuhwydB"},"source":["## MNIST"]},{"cell_type":"markdown","metadata":{"id":"NG2-2cpnyjkY"},"source":["### Use this shortcut"]},{"cell_type":"code","execution_count":99,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":244,"status":"ok","timestamp":1716376729975,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"lY85nEb6yrXu","outputId":"5439a3bc-684f-492f-b615-53e2252cd94c"},"outputs":[{"data":{"text/html":["
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00720.8331210.10450.5034220000GAUSSMNIST0FLANDERSFedAvg
11664.5222520.20890.5631160000GAUSSMNIST0FLANDERSFedAvg
22624.6338260.35600.6447310000GAUSSMNIST0FLANDERSFedAvg
33581.4764720.47730.710941010000GAUSSMNIST0FLANDERSFedAvg
44545.1142050.54300.746970020000GAUSSMNIST0FLANDERSFedAvg
..........................................
356546724.2817250.10250.5004790000AGR-MMMNIST80dncFedAvg
356647724.3501380.10240.5004210000AGR-MMMNIST80dncFedAvg
356748724.5352630.10250.5004790000AGR-MMMNIST80dncFedAvg
356849724.5888810.10280.5005980000AGR-MMMNIST80dncFedAvg
356950724.7838510.10280.5006020000AGR-MMMNIST80dncFedAvg
\n","

7548 rows × 13 columns

\n","
"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 720.833121 0.1045 0.503422 0 0 0 0 GAUSS \n","1 1 664.522252 0.2089 0.563116 0 0 0 0 GAUSS \n","2 2 624.633826 0.3560 0.644731 0 0 0 0 GAUSS \n","3 3 581.476472 0.4773 0.710941 0 100 0 0 GAUSS \n","4 4 545.114205 0.5430 0.746970 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 724.281725 0.1025 0.500479 0 0 0 0 AGR-MM \n","3566 47 724.350138 0.1024 0.500421 0 0 0 0 AGR-MM \n","3567 48 724.535263 0.1025 0.500479 0 0 0 0 AGR-MM \n","3568 49 724.588881 0.1028 0.500598 0 0 0 0 AGR-MM \n","3569 50 724.783851 0.1028 0.500602 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 MNIST 0 FLANDERS FedAvg \n","1 MNIST 0 FLANDERS FedAvg \n","2 MNIST 0 FLANDERS FedAvg \n","3 MNIST 0 FLANDERS FedAvg \n","4 MNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 MNIST 80 dnc FedAvg \n","3566 MNIST 80 dnc FedAvg \n","3567 MNIST 80 dnc FedAvg \n","3568 MNIST 80 dnc FedAvg \n","3569 MNIST 80 dnc FedAvg \n","\n","[7548 rows x 13 columns]"]},"execution_count":99,"metadata":{},"output_type":"execute_result"}],"source":["# CSV pre-processing MNIST\n","results_flanders_file = results_dir + \"all_results_mnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_mnist_no_flanders.csv\"\n","results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)\n","results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","mnist_df = pd.concat([results_flanders_df, results_no_flanders_df])\n","mnist_df"]},{"cell_type":"code","execution_count":100,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":9,"status":"ok","timestamp":1716115669854,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"hg3ysnqiNrms","outputId":"bae8ab71-ce7b-409a-b154-6ad42f9dfc3b"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'dnc']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc']\n"]}],"source":["print_unique_data(mnist_df)"]},{"cell_type":"markdown","metadata":{"id":"dE_uqUeuyl6M"},"source":["### Step-by-step processing"]},{"cell_type":"code","execution_count":101,"metadata":{"id":"R9Cpe8bF8a2z"},"outputs":[],"source":["results_flanders_file = results_dir + \"all_results_mnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_mnist_no_flanders.csv\""]},{"cell_type":"code","execution_count":102,"metadata":{"id":"8nPsIraZ7nJK"},"outputs":[],"source":["results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)"]},{"cell_type":"code","execution_count":103,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1707513800371,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"oC_C6WVMshle","outputId":"20708ffb-24d9-4d94-fc83-6ab93c8d4ed0"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['mnist']\n","Unique values in strategy: ['flanders']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate'\n"," 'flwr.server.strategy.aggregate.aggregate_trimmed_avg'\n"," 'flwr.server.strategy.aggregate.aggregate_median'\n"," 'flwr.server.strategy.aggregate.aggregate_krum'\n"," 'flwr.server.strategy.aggregate.aggregate_bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":104,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":423,"status":"ok","timestamp":1707478795736,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"2xSStl9-52cc","outputId":"391a3d7c-c4b5-486c-85a2-97d9a5ddb30d"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['mnist']\n","Unique values in strategy: ['fedavg' 'trimmedmean' 'fedmedian' 'krum' 'bulyan' 'dnc']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"8dEepZY28raZ"},"source":["Translate strings"]},{"cell_type":"code","execution_count":105,"metadata":{"id":"zNPGc6YJ7E_J"},"outputs":[],"source":["results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":106,"metadata":{"id":"AQaNnF1K7TQc"},"outputs":[],"source":["results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":107,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":393,"status":"ok","timestamp":1707478246670,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"MXYnAzh8V-9t","outputId":"8f09ab5c-cd3e-4627-9f76-5f474ec09227"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FLANDERS']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":108,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":8,"status":"ok","timestamp":1707472989224,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"7xmPF5X77VQk","outputId":"f8e8331e-cde6-4413-f795-f0fe1a9cdd19"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'dnc']\n","Unique values in aggregate_fn: ['FedAvg']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"mjTmoV2M9YTk"},"source":["Concatenate the 2 dataframes, namely FLANDERS+f and baselines:"]},{"cell_type":"code","execution_count":109,"metadata":{"id":"apvpT9Ve8wwv"},"outputs":[],"source":["mnist_df = pd.concat([results_flanders_df, results_no_flanders_df])"]},{"cell_type":"code","execution_count":110,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":424},"executionInfo":{"elapsed":5,"status":"ok","timestamp":1707513807441,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"aZuW73BW9Iu3","outputId":"3f558906-0d55-4ccd-e64f-5b62203ae746"},"outputs":[{"data":{"text/html":["
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00720.8331210.10450.5034220000GAUSSMNIST0FLANDERSFedAvg
11664.5222520.20890.5631160000GAUSSMNIST0FLANDERSFedAvg
22624.6338260.35600.6447310000GAUSSMNIST0FLANDERSFedAvg
33581.4764720.47730.710941010000GAUSSMNIST0FLANDERSFedAvg
44545.1142050.54300.746970020000GAUSSMNIST0FLANDERSFedAvg
..........................................
356546724.2817250.10250.5004790000AGR-MMMNIST80dncFedAvg
356647724.3501380.10240.5004210000AGR-MMMNIST80dncFedAvg
356748724.5352630.10250.5004790000AGR-MMMNIST80dncFedAvg
356849724.5888810.10280.5005980000AGR-MMMNIST80dncFedAvg
356950724.7838510.10280.5006020000AGR-MMMNIST80dncFedAvg
\n","

7548 rows × 13 columns

\n","
"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 720.833121 0.1045 0.503422 0 0 0 0 GAUSS \n","1 1 664.522252 0.2089 0.563116 0 0 0 0 GAUSS \n","2 2 624.633826 0.3560 0.644731 0 0 0 0 GAUSS \n","3 3 581.476472 0.4773 0.710941 0 100 0 0 GAUSS \n","4 4 545.114205 0.5430 0.746970 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 724.281725 0.1025 0.500479 0 0 0 0 AGR-MM \n","3566 47 724.350138 0.1024 0.500421 0 0 0 0 AGR-MM \n","3567 48 724.535263 0.1025 0.500479 0 0 0 0 AGR-MM \n","3568 49 724.588881 0.1028 0.500598 0 0 0 0 AGR-MM \n","3569 50 724.783851 0.1028 0.500602 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 MNIST 0 FLANDERS FedAvg \n","1 MNIST 0 FLANDERS FedAvg \n","2 MNIST 0 FLANDERS FedAvg \n","3 MNIST 0 FLANDERS FedAvg \n","4 MNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 MNIST 80 dnc FedAvg \n","3566 MNIST 80 dnc FedAvg \n","3567 MNIST 80 dnc FedAvg \n","3568 MNIST 80 dnc FedAvg \n","3569 MNIST 80 dnc FedAvg \n","\n","[7548 rows x 13 columns]"]},"execution_count":110,"metadata":{},"output_type":"execute_result"}],"source":["mnist_df"]},{"cell_type":"code","execution_count":111,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1707480685917,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"Ub0W-iA69LpR","outputId":"bfbcaf9e-575c-4d02-e9f0-0be7e74accb4"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['MNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'dnc']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc']\n"]}],"source":["print_unique_data(mnist_df)"]},{"cell_type":"markdown","metadata":{"id":"E3TZ_fJuTVuU"},"source":["## Fashion MNIST"]},{"cell_type":"markdown","metadata":{"id":"45GAIKG9Tmyb"},"source":["### Use this shortcut"]},{"cell_type":"code","execution_count":112,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":327,"status":"ok","timestamp":1716376732776,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"Qju5S7VmTpB_","outputId":"fbe0aed8-164c-4343-9949-e9fa7cc7f0a7"},"outputs":[{"data":{"text/html":["
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
0023082.3338130.06310.4795000000GAUSSFMNIST0FLANDERSFedAvg
1121920.1315610.19770.5542780000GAUSSFMNIST0FLANDERSFedAvg
2217859.0960200.42100.6783330000GAUSSFMNIST0FLANDERSFedAvg
3315559.0449260.49200.717778010000GAUSSFMNIST0FLANDERSFedAvg
4414684.1937220.50010.722278020000GAUSSFMNIST0FLANDERSFedAvg
..........................................
35654623279.5649070.10000.5000000000AGR-MMFMNIST80dncFedAvg
35664723290.9804420.10000.5000000000AGR-MMFMNIST80dncFedAvg
35674823302.2510220.10000.5000000000AGR-MMFMNIST80dncFedAvg
35684923312.5125960.10000.5000000000AGR-MMFMNIST80dncFedAvg
35695023326.1161770.10000.5000000000AGR-MMFMNIST80dncFedAvg
\n","

6884 rows × 13 columns

\n","
"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 23082.333813 0.0631 0.479500 0 0 0 0 GAUSS \n","1 1 21920.131561 0.1977 0.554278 0 0 0 0 GAUSS \n","2 2 17859.096020 0.4210 0.678333 0 0 0 0 GAUSS \n","3 3 15559.044926 0.4920 0.717778 0 100 0 0 GAUSS \n","4 4 14684.193722 0.5001 0.722278 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 23279.564907 0.1000 0.500000 0 0 0 0 AGR-MM \n","3566 47 23290.980442 0.1000 0.500000 0 0 0 0 AGR-MM \n","3567 48 23302.251022 0.1000 0.500000 0 0 0 0 AGR-MM \n","3568 49 23312.512596 0.1000 0.500000 0 0 0 0 AGR-MM \n","3569 50 23326.116177 0.1000 0.500000 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 FMNIST 0 FLANDERS FedAvg \n","1 FMNIST 0 FLANDERS FedAvg \n","2 FMNIST 0 FLANDERS FedAvg \n","3 FMNIST 0 FLANDERS FedAvg \n","4 FMNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 FMNIST 80 dnc FedAvg \n","3566 FMNIST 80 dnc FedAvg \n","3567 FMNIST 80 dnc FedAvg \n","3568 FMNIST 80 dnc FedAvg \n","3569 FMNIST 80 dnc FedAvg \n","\n","[6884 rows x 13 columns]"]},"execution_count":112,"metadata":{},"output_type":"execute_result"}],"source":["# CSV pre-processing FMNIST\n","results_flanders_file = results_dir + \"all_results_fmnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_fmnist_no_flanders.csv\"\n","results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)\n","results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)\n","fmnist_df = pd.concat([results_flanders_df, results_no_flanders_df])\n","fmnist_df"]},{"cell_type":"code","execution_count":113,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1,"status":"ok","timestamp":1716047458204,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"08YXqMTZNpN6","outputId":"9de6cdc8-241e-4867-cd53-645434b99ce2"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['FMNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'dnc']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan']\n"]}],"source":["print_unique_data(fmnist_df)"]},{"cell_type":"markdown","metadata":{"id":"9vVX6wsxT-rc"},"source":["### Step-by-step processing"]},{"cell_type":"code","execution_count":114,"metadata":{"id":"j0ZnLmVnUBT3"},"outputs":[],"source":["results_flanders_file = results_dir + \"all_results_fmnist_flanders.csv\"\n","results_no_flanders_file = results_dir + \"all_results_fmnist_no_flanders.csv\""]},{"cell_type":"code","execution_count":115,"metadata":{"id":"qsYaQiAWUBOw"},"outputs":[],"source":["results_flanders_df = pd.read_csv(results_flanders_file)\n","results_no_flanders_df = pd.read_csv(results_no_flanders_file)"]},{"cell_type":"code","execution_count":116,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":250,"status":"ok","timestamp":1709217712591,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"m1VKWq_jUHyY","outputId":"5bd5b442-4ab4-473d-bc60-b6f5fdc6320d"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['flanders']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate'\n"," 'flwr.server.strategy.aggregate.aggregate_trimmed_avg'\n"," 'flwr.server.strategy.aggregate.aggregate_median'\n"," 'flwr.server.strategy.aggregate.aggregate_krum'\n"," 'flwr.server.strategy.aggregate.aggregate_bulyan']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":117,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1709217720407,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"IxPT9D6DUJN3","outputId":"ded1f8b2-baf5-437b-abe3-25bad7a3c4ad"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['gaussian' 'lie' 'fang' 'minmax']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['fmnist']\n","Unique values in strategy: ['fedavg' 'trimmedmean' 'fedmedian' 'krum' 'bulyan' 'dnc']\n","Unique values in aggregate_fn: ['flwr.server.strategy.aggregate.aggregate']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"X8k98LNrUaLp"},"source":["Translate strings"]},{"cell_type":"code","execution_count":118,"metadata":{"id":"zHNwpvZMUaLq"},"outputs":[],"source":["results_flanders_df = translate_cols(results_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":119,"metadata":{"id":"9zMOOjCiUaLr"},"outputs":[],"source":["results_no_flanders_df = translate_cols(results_no_flanders_df, attack_dict ,dataset_dict, strategy_dict, aggregate_dict)"]},{"cell_type":"code","execution_count":120,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1709217802421,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"tygeoDz6UaLr","outputId":"2441a31a-ead0-4adf-8b95-73d75c6b3739"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['FMNIST']\n","Unique values in strategy: ['FLANDERS']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan']\n"]}],"source":["print_unique_data(results_flanders_df)"]},{"cell_type":"code","execution_count":121,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1709217803343,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"b8Xo1VseUaLr","outputId":"1fbb0a64-0695-4a89-eec1-e0a18ba54c40"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['FMNIST']\n","Unique values in strategy: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'dnc']\n","Unique values in aggregate_fn: ['FedAvg']\n"]}],"source":["print_unique_data(results_no_flanders_df)"]},{"cell_type":"markdown","metadata":{"id":"zkmqmUTzUaLr"},"source":["Concatenate the 2 dataframes, namely FLANDERS+f and baselines:"]},{"cell_type":"code","execution_count":122,"metadata":{"id":"m-wRVa9eUaLr"},"outputs":[],"source":["fmnist_df = pd.concat([results_flanders_df, results_no_flanders_df])"]},{"cell_type":"code","execution_count":123,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1709217813677,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"IhpjH5n1UaLs","outputId":"73f9a359-9f74-4e5e-b518-25af272b2207"},"outputs":[{"data":{"text/html":["
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
0023082.3338130.06310.4795000000GAUSSFMNIST0FLANDERSFedAvg
1121920.1315610.19770.5542780000GAUSSFMNIST0FLANDERSFedAvg
2217859.0960200.42100.6783330000GAUSSFMNIST0FLANDERSFedAvg
3315559.0449260.49200.717778010000GAUSSFMNIST0FLANDERSFedAvg
4414684.1937220.50010.722278020000GAUSSFMNIST0FLANDERSFedAvg
..........................................
35654623279.5649070.10000.5000000000AGR-MMFMNIST80dncFedAvg
35664723290.9804420.10000.5000000000AGR-MMFMNIST80dncFedAvg
35674823302.2510220.10000.5000000000AGR-MMFMNIST80dncFedAvg
35684923312.5125960.10000.5000000000AGR-MMFMNIST80dncFedAvg
35695023326.1161770.10000.5000000000AGR-MMFMNIST80dncFedAvg
\n","

6884 rows × 13 columns

\n","
"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 23082.333813 0.0631 0.479500 0 0 0 0 GAUSS \n","1 1 21920.131561 0.1977 0.554278 0 0 0 0 GAUSS \n","2 2 17859.096020 0.4210 0.678333 0 0 0 0 GAUSS \n","3 3 15559.044926 0.4920 0.717778 0 100 0 0 GAUSS \n","4 4 14684.193722 0.5001 0.722278 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 23279.564907 0.1000 0.500000 0 0 0 0 AGR-MM \n","3566 47 23290.980442 0.1000 0.500000 0 0 0 0 AGR-MM \n","3567 48 23302.251022 0.1000 0.500000 0 0 0 0 AGR-MM \n","3568 49 23312.512596 0.1000 0.500000 0 0 0 0 AGR-MM \n","3569 50 23326.116177 0.1000 0.500000 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 FMNIST 0 FLANDERS FedAvg \n","1 FMNIST 0 FLANDERS FedAvg \n","2 FMNIST 0 FLANDERS FedAvg \n","3 FMNIST 0 FLANDERS FedAvg \n","4 FMNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 FMNIST 80 dnc FedAvg \n","3566 FMNIST 80 dnc FedAvg \n","3567 FMNIST 80 dnc FedAvg \n","3568 FMNIST 80 dnc FedAvg \n","3569 FMNIST 80 dnc FedAvg \n","\n","[6884 rows x 13 columns]"]},"execution_count":123,"metadata":{},"output_type":"execute_result"}],"source":["fmnist_df"]},{"cell_type":"code","execution_count":124,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6,"status":"ok","timestamp":1709217818750,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-60},"id":"XYwnEFa2UaLs","outputId":"44dcb4de-f892-4555-b5d8-8cfcacd37137"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['FMNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'dnc']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan']\n"]}],"source":["print_unique_data(fmnist_df)"]},{"cell_type":"markdown","metadata":{"id":"1TUxrAF6w6cY"},"source":["## Unify datasets"]},{"cell_type":"code","execution_count":125,"metadata":{"id":"R2wOP2Eex7X2"},"outputs":[],"source":["all_datasets_df = pd.concat([mnist_df, fmnist_df])"]},{"cell_type":"code","execution_count":126,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"executionInfo":{"elapsed":428,"status":"ok","timestamp":1716376740426,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"jwDN17ygyFK7","outputId":"c3db739f-98b7-4070-f826-4344553e9ab7"},"outputs":[{"data":{"text/html":["
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roundlossaccuracyaucTPTNFPFNattack_fndataset_namenum_maliciousstrategyaggregate_fn
00720.8331210.10450.5034220000GAUSSMNIST0FLANDERSFedAvg
11664.5222520.20890.5631160000GAUSSMNIST0FLANDERSFedAvg
22624.6338260.35600.6447310000GAUSSMNIST0FLANDERSFedAvg
33581.4764720.47730.710941010000GAUSSMNIST0FLANDERSFedAvg
44545.1142050.54300.746970020000GAUSSMNIST0FLANDERSFedAvg
..........................................
35654623279.5649070.10000.5000000000AGR-MMFMNIST80dncFedAvg
35664723290.9804420.10000.5000000000AGR-MMFMNIST80dncFedAvg
35674823302.2510220.10000.5000000000AGR-MMFMNIST80dncFedAvg
35684923312.5125960.10000.5000000000AGR-MMFMNIST80dncFedAvg
35695023326.1161770.10000.5000000000AGR-MMFMNIST80dncFedAvg
\n","

14432 rows × 13 columns

\n","
"],"text/plain":[" round loss accuracy auc TP TN FP FN attack_fn \\\n","0 0 720.833121 0.1045 0.503422 0 0 0 0 GAUSS \n","1 1 664.522252 0.2089 0.563116 0 0 0 0 GAUSS \n","2 2 624.633826 0.3560 0.644731 0 0 0 0 GAUSS \n","3 3 581.476472 0.4773 0.710941 0 100 0 0 GAUSS \n","4 4 545.114205 0.5430 0.746970 0 200 0 0 GAUSS \n","... ... ... ... ... .. ... .. .. ... \n","3565 46 23279.564907 0.1000 0.500000 0 0 0 0 AGR-MM \n","3566 47 23290.980442 0.1000 0.500000 0 0 0 0 AGR-MM \n","3567 48 23302.251022 0.1000 0.500000 0 0 0 0 AGR-MM \n","3568 49 23312.512596 0.1000 0.500000 0 0 0 0 AGR-MM \n","3569 50 23326.116177 0.1000 0.500000 0 0 0 0 AGR-MM \n","\n"," dataset_name num_malicious strategy aggregate_fn \n","0 MNIST 0 FLANDERS FedAvg \n","1 MNIST 0 FLANDERS FedAvg \n","2 MNIST 0 FLANDERS FedAvg \n","3 MNIST 0 FLANDERS FedAvg \n","4 MNIST 0 FLANDERS FedAvg \n","... ... ... ... ... \n","3565 FMNIST 80 dnc FedAvg \n","3566 FMNIST 80 dnc FedAvg \n","3567 FMNIST 80 dnc FedAvg \n","3568 FMNIST 80 dnc FedAvg \n","3569 FMNIST 80 dnc FedAvg \n","\n","[14432 rows x 13 columns]"]},"execution_count":126,"metadata":{},"output_type":"execute_result"}],"source":["all_datasets_df"]},{"cell_type":"code","execution_count":127,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2,"status":"ok","timestamp":1716376741411,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"VWrdDPtPyHHA","outputId":"1ef8b853-63f8-4eac-a785-578684dbf0a6"},"outputs":[{"name":"stdout","output_type":"stream","text":["Unique values in attack_fn: ['GAUSS' 'LIE' 'OPT' 'AGR-MM']\n","Unique values in num_malicious: [ 0 20 60 80]\n","Unique values in dataset_name: ['MNIST' 'FMNIST']\n","Unique values in strategy: ['FLANDERS' 'FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan' 'dnc']\n","Unique values in aggregate_fn: ['FedAvg' 'TrimmedMean' 'FedMedian' 'MultiKrum' 'Bulyan'\n"," 'flanders.strategies.aggregate.aggregate_dnc']\n"]}],"source":["print_unique_data(all_datasets_df)"]},{"cell_type":"markdown","metadata":{"id":"OlES57TEn2Ng"},"source":["# Tables\n"]},{"cell_type":"markdown","metadata":{"id":"hcHkTXfGbapg"},"source":["## Accuracy"]},{"cell_type":"markdown","metadata":{"id":"7F1YDs12sZbE"},"source":["### Best with improvment w.r.t. baseline"]},{"cell_type":"code","execution_count":128,"metadata":{"id":"GuQM8bzXnIGx"},"outputs":[],"source":["def accuracy_table(input_df, b):\n"," # Define strategies and attacks\n"," strategies = ['FedAvg', 'FLANDERS + FedAvg', 'FedMedian', 'FLANDERS + FedMedian', 'TrimmedMean', 'FLANDERS + TrimmedMean', 'MultiKrum', 'FLANDERS + MultiKrum', 'Bulyan', 'FLANDERS + Bulyan']\n"," attacks = ['GAUSS', 'LIE', 'OPT', 'AGR-MM']\n"," dataset_names = [\"MNIST\", \"FMNIST\"]\n","\n"," # Create MultiIndex for the columns\n"," columns = pd.MultiIndex.from_product([dataset_names, attacks], names=['Dataset', 'Attack'])\n","\n"," # Create an empty DataFrame with the defined columns and strategies\n"," df = pd.DataFrame(index=strategies, columns=columns)\n","\n"," filtered_df = input_df[(input_df['num_malicious'] == b) & (input_df['round'] >= 3)]\n"," baseline_df = filtered_df[filtered_df['strategy'] != 'FLANDERS']\n"," flanders_df = filtered_df[filtered_df['strategy'] == 'FLANDERS']\n","\n"," # Populate the DataFrame\n"," for strategy in ['FedAvg', 'TrimmedMean', 'FedMedian', 'MultiKrum', 'Bulyan']:\n"," for dataset in dataset_names:\n"," for attack in attacks:\n"," df.loc[strategy, (dataset, attack)] = round(baseline_df[(baseline_df['strategy']==strategy) & (baseline_df['attack_fn']==attack) & (baseline_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n"," df.loc[f\"FLANDERS + {strategy}\", (dataset, attack)] = round(flanders_df[(flanders_df['aggregate_fn']==strategy) & (flanders_df['attack_fn']==attack) & (flanders_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n","\n"," return df\n"]},{"cell_type":"code","execution_count":129,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":457},"executionInfo":{"elapsed":1243,"status":"ok","timestamp":1715943873268,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"PruXJg2vA87b","outputId":"98d83851-626b-4877-fd09-8f2f01200c65"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSGAUSS
FedAvg0.860.68
FLANDERS + FedAvg0.840.64
FedMedian0.830.71
FLANDERS + FedMedian0.760.73
TrimmedMean0.850.69
FLANDERS + TrimmedMean0.780.7
MultiKrum0.680.66
FLANDERS + MultiKrum0.740.73
Bulyan0.860.62
FLANDERS + Bulyan0.870.65
\n","
"],"text/plain":["Dataset MNIST FMNIST\n","Attack GAUSS GAUSS\n","FedAvg 0.86 0.68\n","FLANDERS + FedAvg 0.84 0.64\n","FedMedian 0.83 0.71\n","FLANDERS + FedMedian 0.76 0.73\n","TrimmedMean 0.85 0.69\n","FLANDERS + TrimmedMean 0.78 0.7\n","MultiKrum 0.68 0.66\n","FLANDERS + MultiKrum 0.74 0.73\n","Bulyan 0.86 0.62\n","FLANDERS + Bulyan 0.87 0.65"]},"execution_count":129,"metadata":{},"output_type":"execute_result"}],"source":["# Table 19\n","acc_0 = accuracy_table(all_datasets_df, 0).dropna(axis=1, how='all')\n","acc_0"]},{"cell_type":"code","execution_count":130,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":457},"executionInfo":{"elapsed":858,"status":"ok","timestamp":1715944158330,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"8bV7hABWbyMS","outputId":"6d24f87d-da15-40b2-8880-3b6dcefda1fd"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSLIEOPTAGR-MMGAUSSLIEOPTAGR-MM
FedAvg0.20.170.670.450.250.170.570.11
FLANDERS + FedAvg0.880.870.480.880.660.670.570.64
FedMedian0.80.660.790.590.660.650.670.6
FLANDERS + FedMedian0.850.850.660.830.710.690.630.73
TrimmedMean0.860.520.730.610.690.540.620.58
FLANDERS + TrimmedMean0.810.850.780.830.690.70.630.73
MultiKrum0.780.770.810.820.740.650.70.67
FLANDERS + MultiKrum0.820.860.840.820.730.70.730.71
Bulyan0.820.840.840.830.710.720.690.76
FLANDERS + Bulyan0.90.840.790.850.650.650.660.65
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"],"text/plain":["Dataset MNIST FMNIST \n","Attack GAUSS LIE OPT AGR-MM GAUSS LIE OPT AGR-MM\n","FedAvg 0.2 0.17 0.67 0.45 0.25 0.17 0.57 0.11\n","FLANDERS + FedAvg 0.88 0.87 0.48 0.88 0.66 0.67 0.57 0.64\n","FedMedian 0.8 0.66 0.79 0.59 0.66 0.65 0.67 0.6\n","FLANDERS + FedMedian 0.85 0.85 0.66 0.83 0.71 0.69 0.63 0.73\n","TrimmedMean 0.86 0.52 0.73 0.61 0.69 0.54 0.62 0.58\n","FLANDERS + TrimmedMean 0.81 0.85 0.78 0.83 0.69 0.7 0.63 0.73\n","MultiKrum 0.78 0.77 0.81 0.82 0.74 0.65 0.7 0.67\n","FLANDERS + MultiKrum 0.82 0.86 0.84 0.82 0.73 0.7 0.73 0.71\n","Bulyan 0.82 0.84 0.84 0.83 0.71 0.72 0.69 0.76\n","FLANDERS + Bulyan 0.9 0.84 0.79 0.85 0.65 0.65 0.66 0.65"]},"execution_count":130,"metadata":{},"output_type":"execute_result"}],"source":["# Table 15\n","acc_20 = accuracy_table(all_datasets_df, 20)\n","acc_20"]},{"cell_type":"markdown","metadata":{},"source":["Bulyan is NaN because it cannot work when the number of malicious clients is > 25%"]},{"cell_type":"code","execution_count":131,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1126,"status":"ok","timestamp":1716115710006,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"xSvgEwLoPmh3","outputId":"1c65e66e-7374-46f0-a2a5-0964bc40e49a"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSLIEOPTAGR-MMGAUSSLIEOPTAGR-MM
FedAvg0.190.150.20.160.280.10.190.1
FLANDERS + FedAvg0.760.880.850.850.690.670.710.67
FedMedian0.80.190.160.290.650.10.10.1
FLANDERS + FedMedian0.80.860.830.860.710.690.710.71
TrimmedMean0.250.20.330.10.330.10.170.1
FLANDERS + TrimmedMean0.780.870.840.830.70.710.730.74
MultiKrum0.790.140.220.150.710.10.120.1
FLANDERS + MultiKrum0.880.880.860.780.720.710.730.69
BulyanNaNNaNNaNNaNNaNNaNNaNNaN
FLANDERS + Bulyan0.890.870.90.850.680.640.60.69
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","Attack GAUSS LIE OPT AGR-MM GAUSS LIE OPT AGR-MM\n","FedAvg 0.19 0.15 0.2 0.16 0.28 0.1 0.19 0.1\n","FLANDERS + FedAvg 0.76 0.88 0.85 0.85 0.69 0.67 0.71 0.67\n","FedMedian 0.8 0.19 0.16 0.29 0.65 0.1 0.1 0.1\n","FLANDERS + FedMedian 0.8 0.86 0.83 0.86 0.71 0.69 0.71 0.71\n","TrimmedMean 0.25 0.2 0.33 0.1 0.33 0.1 0.17 0.1\n","FLANDERS + TrimmedMean 0.78 0.87 0.84 0.83 0.7 0.71 0.73 0.74\n","MultiKrum 0.79 0.14 0.22 0.15 0.71 0.1 0.12 0.1\n","FLANDERS + MultiKrum 0.88 0.88 0.86 0.78 0.72 0.71 0.73 0.69\n","Bulyan NaN NaN NaN NaN NaN NaN NaN NaN\n","FLANDERS + Bulyan 0.89 0.87 0.9 0.85 0.68 0.64 0.6 0.69"]},"execution_count":131,"metadata":{},"output_type":"execute_result"}],"source":["# Table 17\n","acc_60 = accuracy_table(all_datasets_df, 60)\n","acc_60"]},{"cell_type":"code","execution_count":132,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1188,"status":"ok","timestamp":1716050662469,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"dM_AMm_jcCye","outputId":"90533ef1-500f-40a3-f565-2c2ca1d68aaa"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
AttackGAUSSLIEOPTAGR-MMGAUSSLIEOPTAGR-MM
FedAvg0.210.160.310.130.240.10.180.1
FLANDERS + FedAvg0.850.860.880.850.690.70.690.66
FedMedian0.340.170.140.090.30.10.140.1
FLANDERS + FedMedian0.870.840.80.80.730.740.720.72
TrimmedMean0.170.150.210.140.210.10.120.1
FLANDERS + TrimmedMean0.810.850.810.820.740.730.70.69
MultiKrum0.820.210.320.110.720.10.150.1
FLANDERS + MultiKrum0.870.830.870.850.680.730.720.7
BulyanNaNNaNNaNNaNNaNNaNNaNNaN
FLANDERS + Bulyan0.840.840.830.80.690.720.690.68
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"],"text/plain":["Dataset MNIST FMNIST \n","Attack GAUSS LIE OPT AGR-MM GAUSS LIE OPT AGR-MM\n","FedAvg 0.21 0.16 0.31 0.13 0.24 0.1 0.18 0.1\n","FLANDERS + FedAvg 0.85 0.86 0.88 0.85 0.69 0.7 0.69 0.66\n","FedMedian 0.34 0.17 0.14 0.09 0.3 0.1 0.14 0.1\n","FLANDERS + FedMedian 0.87 0.84 0.8 0.8 0.73 0.74 0.72 0.72\n","TrimmedMean 0.17 0.15 0.21 0.14 0.21 0.1 0.12 0.1\n","FLANDERS + TrimmedMean 0.81 0.85 0.81 0.82 0.74 0.73 0.7 0.69\n","MultiKrum 0.82 0.21 0.32 0.11 0.72 0.1 0.15 0.1\n","FLANDERS + MultiKrum 0.87 0.83 0.87 0.85 0.68 0.73 0.72 0.7\n","Bulyan NaN NaN NaN NaN NaN NaN NaN NaN\n","FLANDERS + Bulyan 0.84 0.84 0.83 0.8 0.69 0.72 0.69 0.68"]},"execution_count":132,"metadata":{},"output_type":"execute_result"}],"source":["# Table 3\n","acc_80 = accuracy_table(all_datasets_df, 80)\n","acc_80"]},{"cell_type":"markdown","metadata":{"id":"CZX8c37MsgFL"},"source":["### Best w.r.t. number of attackers"]},{"cell_type":"code","execution_count":133,"metadata":{"id":"xgIKM1obsmd2"},"outputs":[],"source":["def accuracy_table_attackers(input_df, aggregate_fn):\n"," # Define strategies and attacks\n"," attacks = ['GAUSS', 'LIE', 'OPT', 'AGR-MM']\n"," dataset_names = [\"MNIST\", \"FMNIST\"]\n"," num_malicious = [0, 20, 60, 80]\n","\n"," # Create MultiIndex for the columns\n"," columns = pd.MultiIndex.from_product([dataset_names, num_malicious], names=['Dataset', '# Malicious'])\n","\n"," #######\n"," #columns = pd.MultiIndex.from_product([['MNIST', 'CIFAR-10'], ['GAUSS', 'LIE', 'OPT', 'AGR-MM'], ['LAST', 'BEST']])\n"," #######\n","\n","\n"," # Create an empty DataFrame with the defined columns and strategies\n"," df = pd.DataFrame(index=attacks, columns=columns)\n","\n"," filtered_df = input_df[(input_df['aggregate_fn'] == aggregate_fn) & (input_df['round'] >= 3)]\n"," baseline_df = filtered_df[filtered_df['strategy'] != 'FLANDERS']\n"," flanders_df = filtered_df[filtered_df['strategy'] == 'FLANDERS']\n","\n"," # Populate the DataFrame\n"," for dataset in dataset_names:\n"," for attack in attacks:\n"," for b in num_malicious:\n"," if b == 0:\n"," df.loc[attack, (dataset, b)] = round(flanders_df[(flanders_df['num_malicious']==b) & (flanders_df['attack_fn']=='GAUSS') & (flanders_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n"," else:\n"," df.loc[attack, (dataset, b)] = round(flanders_df[(flanders_df['num_malicious']==b) & (flanders_df['attack_fn']==attack) & (flanders_df['dataset_name']==dataset)]['accuracy'].max(), 2)\n","\n"," return df"]},{"cell_type":"code","execution_count":134,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"executionInfo":{"elapsed":305,"status":"ok","timestamp":1715954054792,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"0n9vhQiQuxk_","outputId":"500dfb31-f525-4289-f337-2c945bf50cd2"},"outputs":[{"data":{"text/html":["
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DatasetMNISTFMNIST
# Malicious02060800206080
GAUSS0.740.820.880.870.730.730.720.68
LIE0.740.860.880.830.730.70.710.73
OPT0.740.840.860.870.730.730.730.72
AGR-MM0.740.820.780.850.730.710.690.7
\n","
"],"text/plain":["Dataset MNIST FMNIST \n","# Malicious 0 20 60 80 0 20 60 80\n","GAUSS 0.74 0.82 0.88 0.87 0.73 0.73 0.72 0.68\n","LIE 0.74 0.86 0.88 0.83 0.73 0.7 0.71 0.73\n","OPT 0.74 0.84 0.86 0.87 0.73 0.73 0.73 0.72\n","AGR-MM 0.74 0.82 0.78 0.85 0.73 0.71 0.69 0.7"]},"execution_count":134,"metadata":{},"output_type":"execute_result"}],"source":["# Table 20\n","acc_att = accuracy_table_attackers(all_datasets_df, 'MultiKrum')\n","acc_att"]},{"cell_type":"markdown","metadata":{"id":"g6yDorrubUw1"},"source":["## Precision and Recall"]},{"cell_type":"code","execution_count":135,"metadata":{"id":"y0PlDlG0bKek"},"outputs":[],"source":["def pr_table(input_df, b):\n"," strategies = ['FLANDERS']\n"," attacks = ['GAUSS', 'LIE', 'OPT', 'AGR-MM']\n"," dataset_names = [\"MNIST\", \"FMNIST\"]\n","\n"," # Create MultiIndex for the columns\n"," columns = pd.MultiIndex.from_product([strategies, attacks, ['P', 'R']], names=['Strategy', 'Attack', 'P/R'])\n","\n"," # Create an empty DataFrame with the defined columns and strategies\n"," df = pd.DataFrame(index=dataset_names, columns=columns)\n","\n"," filtered_df = input_df[(input_df['num_malicious'] == b) & (input_df['round'] == 50) & (input_df['aggregate_fn']=='FedAvg')]\n"," flanders_df = filtered_df[filtered_df['strategy'] == 'FLANDERS']\n"," strat_dfs = [flanders_df]\n","\n"," # Populate the DataFrame\n"," for dataset in dataset_names:\n"," for attack in attacks:\n"," for idx, strategy in enumerate(strategies):\n"," tp = strat_dfs[idx][(strat_dfs[idx]['attack_fn']==attack) & (strat_dfs[idx]['dataset_name']==dataset)]['TP'].iloc[0]\n"," fp = strat_dfs[idx][(strat_dfs[idx]['attack_fn']==attack) & (strat_dfs[idx]['dataset_name']==dataset)]['FP'].iloc[0]\n"," fn = strat_dfs[idx][(strat_dfs[idx]['attack_fn']==attack) & (strat_dfs[idx]['dataset_name']==dataset)]['FN'].iloc[0]\n"," df.loc[dataset, (strategy, attack, 'P')] = round(tp / (tp+fp), 2)\n"," df.loc[dataset, (strategy, attack, 'R')] = round(tp / (tp+fn), 2)\n","\n"," return df"]},{"cell_type":"code","execution_count":136,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":257},"executionInfo":{"elapsed":248,"status":"ok","timestamp":1716367268457,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"rpQyziNRh3dn","outputId":"26e2c0f9-144d-4cad-d13f-1e2351aa2081"},"outputs":[{"data":{"text/html":["
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StrategyFLANDERS
AttackGAUSSLIEOPTAGR-MM
P/RPRPRPRPR
MNIST1.01.01.01.00.150.151.01.0
FMNIST1.01.01.01.00.160.161.01.0
\n","
"],"text/plain":["Strategy FLANDERS \n","Attack GAUSS LIE OPT AGR-MM \n","P/R P R P R P R P R\n","MNIST 1.0 1.0 1.0 1.0 0.15 0.15 1.0 1.0\n","FMNIST 1.0 1.0 1.0 1.0 0.16 0.16 1.0 1.0"]},"execution_count":136,"metadata":{},"output_type":"execute_result"}],"source":["# Table 1\n","pr_20 = pr_table(all_datasets_df, 20)\n","pr_20"]},{"cell_type":"code","execution_count":137,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":257},"executionInfo":{"elapsed":327,"status":"ok","timestamp":1716367273542,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"ccW0Ups3iMvZ","outputId":"ba945e17-1bbe-414f-9aa0-b03fb0fe107f"},"outputs":[{"data":{"text/html":["
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StrategyFLANDERS
AttackGAUSSLIEOPTAGR-MM
P/RPRPRPRPR
MNIST1.01.01.01.01.01.01.01.0
FMNIST1.01.01.01.01.01.01.01.0
\n","
"],"text/plain":["Strategy FLANDERS \n","Attack GAUSS LIE OPT AGR-MM \n","P/R P R P R P R P R\n","MNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0\n","FMNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0"]},"execution_count":137,"metadata":{},"output_type":"execute_result"}],"source":["# Table 2\n","pr_60 = pr_table(all_datasets_df, 60)\n","pr_60"]},{"cell_type":"code","execution_count":138,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":257},"executionInfo":{"elapsed":308,"status":"ok","timestamp":1716376750779,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"05a0Gv5piS2v","outputId":"0cf6555a-4cc8-4aa5-f9b6-c8286afa130a"},"outputs":[{"data":{"text/html":["
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StrategyFLANDERS
AttackGAUSSLIEOPTAGR-MM
P/RPRPRPRPR
MNIST1.01.01.01.01.01.01.01.0
FMNIST1.01.01.01.01.01.01.01.0
\n","
"],"text/plain":["Strategy FLANDERS \n","Attack GAUSS LIE OPT AGR-MM \n","P/R P R P R P R P R\n","MNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0\n","FMNIST 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0"]},"execution_count":138,"metadata":{},"output_type":"execute_result"}],"source":["# Table 3\n","pr_80 = pr_table(all_datasets_df, 80)\n","pr_80"]},{"cell_type":"markdown","metadata":{"id":"bN7dTn2u0r6K"},"source":["# Plots"]},{"cell_type":"markdown","metadata":{"id":"xZ0wiadBsVUh"},"source":["## Accuracy over rounds"]},{"cell_type":"code","execution_count":139,"metadata":{"id":"LQ_uYJCtjdJS"},"outputs":[],"source":["df_mnist_acc_flanders = all_datasets_df[(all_datasets_df['strategy']=='FLANDERS') & (all_datasets_df['num_malicious']==80) & (all_datasets_df['dataset_name']=='MNIST') & (all_datasets_df['aggregate_fn']=='MultiKrum')]\n","df_mnist_acc_fedavg = all_datasets_df[(all_datasets_df['strategy']=='FedAvg') & (all_datasets_df['num_malicious']==80) & (all_datasets_df['dataset_name']=='MNIST')]\n","df_no_attack = all_datasets_df[(all_datasets_df['strategy']=='FedAvg') & (all_datasets_df['num_malicious']==0) & (all_datasets_df['dataset_name']=='MNIST')]"]},{"cell_type":"code","execution_count":140,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":408},"executionInfo":{"elapsed":651,"status":"ok","timestamp":1714668544212,"user":{"displayName":"Edoardo Gabrielli","userId":"12318890431187689267"},"user_tz":-120},"id":"NDkD_Qnd1iT7","outputId":"928cfa90-04a2-4624-9825-adb0d124aaf8"},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["# Figure 3\n","num_plots = 2\n","plt.style.use('default')\n","fig, axs = plt.subplots(1, num_plots, figsize=(11, 4))\n","\n","data = [df_mnist_acc_flanders, df_mnist_acc_fedavg]\n","\n","for i in range(num_plots):\n"," if i == 0:\n"," acc = df_no_attack[df_no_attack[\"attack_fn\"]=='GAUSS']['accuracy'].to_list()\n"," axs[i].plot(acc, label=\"No Attack\", linestyle='--', color='slategray')\n"," for attack in ['GAUSS', 'LIE', 'OPT', 'AGR-MM']:\n"," acc = data[i][data[i]['attack_fn']==attack]['accuracy'].to_list()\n"," x = [i for i in range(len(data))]\n"," axs[i].plot(acc, label=attack)\n"," axs[i].set_ylim((0,1.0))\n"," axs[i].set_xlabel('Round', fontsize=16)\n"," axs[i].set_ylabel('Accuracy', fontsize=16)\n"," axs[i].legend(prop={'size': 12})\n"," axs[i].tick_params(axis='both', which='major', labelsize=16)\n"," axs[i].tick_params(axis='both', which='minor', labelsize=16)\n","\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":[]}],"metadata":{"colab":{"authorship_tag":"ABX9TyODCHCYl18UhHkKwq6LlRvG","collapsed_sections":["P_3Z05w0wvNB","dE_uqUeuyl6M","9vVX6wsxT-rc","RctMDJMZyPq2","R9VNz7Cv9RHn","6V4padUiYeac","pZ863s6JJbph","EJDtdXqLJX0H"],"provenance":[]},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.9.18"}},"nbformat":4,"nbformat_minor":0} From 859fcaee80056d1c9061a07c477fb07a91e52b71 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Mon, 29 Jul 2024 14:34:48 +0200 Subject: [PATCH 90/91] Create outputs dir if it does not exist --- baselines/flanders/flanders/main.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/baselines/flanders/flanders/main.py b/baselines/flanders/flanders/main.py index 0ff78bbe1f2b..022c38b1ef32 100644 --- a/baselines/flanders/flanders/main.py +++ b/baselines/flanders/flanders/main.py @@ -235,6 +235,8 @@ def client_fn(cid: str, dataset_name: str = dataset_name): _, falsep = zip(*history.metrics_centralized["FP"]) _, falsen = zip(*history.metrics_centralized["FN"]) + if not os.path.exists(os.path.join(save_path, "outputs")): + os.makedirs(os.path.join(save_path, "outputs")) path_to_save = [os.path.join(save_path, "results.csv"), "outputs/all_results.csv"] for file_name in path_to_save: From acfa341d59a5e5d8d12cafd13ae5abdd9c518bb5 Mon Sep 17 00:00:00 2001 From: edogab33 Date: Mon, 29 Jul 2024 14:39:18 +0200 Subject: [PATCH 91/91] Update flanders README with correct instructions for running experiments --- baselines/flanders/README.md | 21 ++++----------------- 1 file changed, 4 insertions(+), 17 deletions(-) diff --git a/baselines/flanders/README.md b/baselines/flanders/README.md index e2e7121dc78f..f5ab6a02d6f3 100644 --- a/baselines/flanders/README.md +++ b/baselines/flanders/README.md @@ -95,7 +95,7 @@ To execute a single experiment with the default values in `conf/base.yaml`. To run custom experiments, you can override the default values like that: ```bash -python -m flanders.main dataset=income server.attack_fn=lie server.num_malicious=1 +python -m flanders.main dataset=mnist server.attack_fn=lie server.num_malicious=1 ``` To run multiple custom experiments: @@ -104,28 +104,15 @@ To run multiple custom experiments: python -m flanders.main --multirun dataset=mnist,fmnist server.attack_fn=gaussian,lie,fang,minmax server.num_malicious=0,1,2,3,4,5 ``` -Finally, to run all the experiments of the paper, I've set up a script: - -```bash -sh run.sh -``` - ## Expected Results -Use this command to run experiments on FLANDERS+\[baseline\] -```bash -python -m flanders.main --multirun server.num_rounds=50 dataset=fmnist strategy=flanders aggregate_fn=fedavg,trimmedmean,fedmedian,krum,bulyan server.pool_size=100 server.num_malicious=0,20,60,80 server.attack_fn=gaussian,lie,fang,minmax client_resources.num_cpus=0.1 client_resources.num_gpus=0.1 -``` - -And then this command to run experiments on vanilla baselines: +To run all the experiments of the paper (for MNIST and Fashion-MNIST), I've set up a script: ```bash -python -m flanders.main --multirun server.num_rounds=50 dataset=fmnist strategy=fedavg,trimmedmean,fedmedian,krum,bulyan server.pool_size=100 server.num_malicious=0,20,60,80 server.attack_fn=gaussian,lie,fang,minmax client_resources.num_cpus=0.1 client_resources.num_gpus=0.1 +sh run.sh ``` -They will generate the results in `results/all_results.csv`. - -To generate the plots, including the tables shown below, use the notebook in `plotting/`. +This code will produce the output in the file `outputs/all_results.csv`. To generate the plots and tables displayed below, you can use the notebook in the `plotting/` directory. ### Accuracy over multiple rounds